From 5dd02bd94fcc781a890085141fcf13ef96e0e345 Mon Sep 17 00:00:00 2001
From: Chris Mauzey <mauzey1@llnl.gov>
Date: Fri, 29 May 2026 13:25:47 -0700
Subject: [PATCH 01/25] Initial commit of notebooks

---
 .gitignore                                    |   3 +
 .../01_basic_ocean_surface_temperature.ipynb  | 215 +++++++++++++++
 .../02_atmos_surface_air_temperature.ipynb    | 208 ++++++++++++++
 .../03_pressure_level_air_temperature.ipynb   | 240 +++++++++++++++++
 notebooks/04_hybrid_sigma_zfactors.ipynb      | 237 ++++++++++++++++
 notebooks/05_curvilinear_ocean_grid.ipynb     | 254 ++++++++++++++++++
 notebooks/README.md                           |  29 ++
 7 files changed, 1186 insertions(+)
 create mode 100644 notebooks/01_basic_ocean_surface_temperature.ipynb
 create mode 100644 notebooks/02_atmos_surface_air_temperature.ipynb
 create mode 100644 notebooks/03_pressure_level_air_temperature.ipynb
 create mode 100644 notebooks/04_hybrid_sigma_zfactors.ipynb
 create mode 100644 notebooks/05_curvilinear_ocean_grid.ipynb
 create mode 100644 notebooks/README.md

diff --git a/.gitignore b/.gitignore
index e1c878ef..d9b4ab7f 100644
--- a/.gitignore
+++ b/.gitignore
@@ -29,3 +29,6 @@ include/cmor_locale.h
 recipes/cmor/meta.yaml
 CMOR.egg-info
 cmor.log*
+notebook-env/
+notebooks/output/
+.ipynb_checkpoints/
diff --git a/notebooks/01_basic_ocean_surface_temperature.ipynb b/notebooks/01_basic_ocean_surface_temperature.ipynb
new file mode 100644
index 00000000..7d06450e
--- /dev/null
+++ b/notebooks/01_basic_ocean_surface_temperature.ipynb
@@ -0,0 +1,215 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "8c2d69d8",
+   "metadata": {},
+   "source": [
+    "# 01 - Basic Ocean Surface Temperature\n",
+    "\n",
+    "Create a CMIP7 monthly sea surface temperature file (`tos_tavg-u-hxy-sea`) on a global 10 degree latitude-longitude grid."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1ef49a65",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pathlib import Path\n",
+    "import json\n",
+    "import shutil\n",
+    "\n",
+    "import cmor\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import xarray as xr\n",
+    "\n",
+    "start = Path.cwd().resolve()\n",
+    "for candidate in (start, *start.parents):\n",
+    "    if (candidate / \"notebooks\" / \"NOTEBOOKS.md\").exists() or (candidate / \".git\").exists():\n",
+    "        REPO_ROOT = candidate\n",
+    "        break\n",
+    "else:\n",
+    "    REPO_ROOT = start\n",
+    "\n",
+    "TABLES_REPO = REPO_ROOT / \"cmip7-cmor-tables\"\n",
+    "TABLES_DIR = TABLES_REPO / \"tables\"\n",
+    "if not TABLES_DIR.exists():\n",
+    "    raise FileNotFoundError(f\"CMIP7 tables directory not found: {TABLES_DIR}\")\n",
+    "\n",
+    "CV_FILE_FROM_TABLES_DIR = \"../tables-cvs/cmor-cvs.json\"\n",
+    "\n",
+    "print(f\"Using CMIP7 tables from {TABLES_REPO}\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "98a3af92",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "run_dir = REPO_ROOT / \"notebooks\" / \"output\" / \"01_basic_ocean_surface_temperature\"\n",
+    "if run_dir.exists():\n",
+    "    shutil.rmtree(run_dir)\n",
+    "output_dir = run_dir / \"cmor_output\"\n",
+    "output_dir.mkdir(parents=True)\n",
+    "\n",
+    "DATASET_INFO = {\n",
+    "    \"_AXIS_ENTRY_FILE\": \"CMIP7_coordinate.json\",\n",
+    "    \"_FORMULA_VAR_FILE\": \"CMIP7_formula_terms.json\",\n",
+    "    \"_cmip7_option\": 1,\n",
+    "    \"_controlled_vocabulary_file\": CV_FILE_FROM_TABLES_DIR,\n",
+    "    \"activity_id\": \"CMIP\",\n",
+    "    \"calendar\": \"360_day\",\n",
+    "    \"drs_specs\": \"MIP-DRS7\",\n",
+    "    \"experiment_id\": \"amip\",\n",
+    "    \"forcing_index\": \"f3\",\n",
+    "    \"frequency\": \"mon\",\n",
+    "    \"grid_label\": \"g999\",\n",
+    "    \"host_collection\": \"CMIP7\",\n",
+    "    \"initialization_index\": \"i1\",\n",
+    "    \"institution_id\": \"CCCma\",\n",
+    "    \"license_id\": \"CC-BY-4.0\",\n",
+    "    \"mip_era\": \"CMIP7\",\n",
+    "    \"nominal_resolution\": \"100 km\",\n",
+    "    \"outpath\": str(output_dir),\n",
+    "    \"physics_index\": \"p1\",\n",
+    "    \"realization_index\": \"r9\",\n",
+    "    \"region\": \"glb\",\n",
+    "    \"source_id\": \"DUMMY-MODEL\",\n",
+    "    \"tracking_prefix\": \"hdl:21.14107\",\n",
+    "}\n",
+    "input_json = run_dir / \"input.json\"\n",
+    "input_json.write_text(json.dumps(DATASET_INFO, indent=2, sort_keys=True))\n",
+    "\n",
+    "lat = np.arange(-85.0, 90.0, 10.0)\n",
+    "lat_bnds = np.arange(-90.0, 91.0, 10.0)\n",
+    "lon = np.arange(5.0, 360.0, 10.0)\n",
+    "lon_bnds = np.arange(0.0, 361.0, 10.0)\n",
+    "time = 15.0 + 30.0 * np.arange(3, dtype=\"f8\")\n",
+    "time_bnds = 30.0 * np.arange(4, dtype=\"f8\")\n",
+    "time_units = \"days since 2018-01-01\"\n",
+    "\n",
+    "seasonal_cycle = np.array([0.0, 0.8, -0.4], dtype=\"f4\")[:, None, None]\n",
+    "lat_term = np.sin(np.deg2rad(lat))[None, :, None] ** 2\n",
+    "lon_term = np.cos(np.deg2rad(lon))[None, None, :]\n",
+    "tos = (15.0 - 25.0 * lat_term + 1.5 * lon_term + seasonal_cycle).astype(\"f4\")\n",
+    "\n",
+    "tos.shape\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "33c84a99",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cmor.setup(\n",
+    "    inpath=str(TABLES_DIR),\n",
+    "    netcdf_file_action=cmor.CMOR_REPLACE,\n",
+    "    logfile=str(run_dir / \"cmor.log\"),\n",
+    ")\n",
+    "cmor.dataset_json(str(input_json))\n",
+    "cmor.load_table(\"CMIP7_ocean.json\")\n",
+    "\n",
+    "lat_id = cmor.axis(\"latitude\", coord_vals=lat, cell_bounds=lat_bnds, units=\"degrees_north\")\n",
+    "lon_id = cmor.axis(\"longitude\", coord_vals=lon, cell_bounds=lon_bnds, units=\"degrees_east\")\n",
+    "time_id = cmor.axis(\"time\", coord_vals=time, cell_bounds=time_bnds, units=time_units)\n",
+    "\n",
+    "variable_name = \"tos_tavg-u-hxy-sea\"\n",
+    "tos_id = cmor.variable(variable_name, \"degC\", [time_id, lat_id, lon_id])\n",
+    "compound_name = \".\".join([\"ocean\"] + variable_name.split(\"_\") + [\"mon\", \"glb\"])\n",
+    "\n",
+    "with open(TABLES_DIR / \"CMIP7_cell_measures.json\") as handle:\n",
+    "    cell_measure = json.load(handle)[\"cell_measures\"].get(compound_name)\n",
+    "if cell_measure:\n",
+    "    cmor.set_variable_attribute(tos_id, \"cell_measures\", \"c\", cell_measure)\n",
+    "\n",
+    "with open(TABLES_DIR / \"CMIP7_long_name_overrides.json\") as handle:\n",
+    "    long_name = json.load(handle)[\"long_name_overrides\"].get(compound_name)\n",
+    "if long_name:\n",
+    "    cmor.set_variable_attribute(tos_id, \"long_name\", \"c\", long_name)\n",
+    "\n",
+    "cmor.write(tos_id, tos)\n",
+    "netcdf_path = Path(cmor.close(tos_id, file_name=True))\n",
+    "cmor.close()\n",
+    "\n",
+    "netcdf_path\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "52566071",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with xr.open_dataset(netcdf_path, decode_times=False) as opened:\n",
+    "    ds = opened.load()\n",
+    "ds\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "593dabd1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for name in [\"mip_era\", \"activity_id\", \"source_id\", \"experiment_id\", \"variant_label\", \"branded_variable\", \"frequency\", \"region\"]:\n",
+    "    print(f\"{name}: {ds.attrs.get(name)}\")\n",
+    "print(f\"\\nVariable shape: {ds['tos'].shape}\")\n",
+    "print(f\"Variable attributes: {dict(ds['tos'].attrs)}\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1a291a66",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(11, 4.8))\n",
+    "ds[\"tos\"].isel(time=0).plot.pcolormesh(\n",
+    "    ax=ax,\n",
+    "    x=\"lon\",\n",
+    "    y=\"lat\",\n",
+    "    cmap=\"coolwarm\",\n",
+    "    cbar_kwargs={\"label\": \"degC\"},\n",
+    ")\n",
+    "ax.set_title(\"CMIP7 tos, first month\")\n",
+    "ax.set_xlabel(\"Longitude\")\n",
+    "ax.set_ylabel(\"Latitude\")\n",
+    "ax.set_xlim(0, 360)\n",
+    "ax.set_ylim(-90, 90)\n",
+    "ax.grid(True, alpha=0.25)\n",
+    "plt.show()\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.14.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/02_atmos_surface_air_temperature.ipynb b/notebooks/02_atmos_surface_air_temperature.ipynb
new file mode 100644
index 00000000..e85f8852
--- /dev/null
+++ b/notebooks/02_atmos_surface_air_temperature.ipynb
@@ -0,0 +1,208 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "8f0fce82",
+   "metadata": {},
+   "source": [
+    "# 02 - Atmospheric Surface Air Temperature\n",
+    "\n",
+    "Create a CMIP7 monthly near-surface air temperature file (`tas_tavg-h2m-hxy-u`). This adds the CMIP7 fixed-height coordinate used for 2 m variables."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d1d1af98",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pathlib import Path\n",
+    "import json\n",
+    "import shutil\n",
+    "\n",
+    "import cmor\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import xarray as xr\n",
+    "\n",
+    "start = Path.cwd().resolve()\n",
+    "for candidate in (start, *start.parents):\n",
+    "    if (candidate / \"notebooks\" / \"NOTEBOOKS.md\").exists() or (candidate / \".git\").exists():\n",
+    "        REPO_ROOT = candidate\n",
+    "        break\n",
+    "else:\n",
+    "    REPO_ROOT = start\n",
+    "\n",
+    "TABLES_REPO = REPO_ROOT / \"cmip7-cmor-tables\"\n",
+    "TABLES_DIR = TABLES_REPO / \"tables\"\n",
+    "if not TABLES_DIR.exists():\n",
+    "    raise FileNotFoundError(f\"CMIP7 tables directory not found: {TABLES_DIR}\")\n",
+    "\n",
+    "CV_FILE_FROM_TABLES_DIR = \"../tables-cvs/cmor-cvs.json\"\n",
+    "\n",
+    "print(f\"Using CMIP7 tables from {TABLES_REPO}\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "284b84c2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "run_dir = REPO_ROOT / \"notebooks\" / \"output\" / \"02_atmos_surface_air_temperature\"\n",
+    "if run_dir.exists():\n",
+    "    shutil.rmtree(run_dir)\n",
+    "output_dir = run_dir / \"cmor_output\"\n",
+    "output_dir.mkdir(parents=True)\n",
+    "\n",
+    "DATASET_INFO = {\n",
+    "    \"_AXIS_ENTRY_FILE\": \"CMIP7_coordinate.json\",\n",
+    "    \"_FORMULA_VAR_FILE\": \"CMIP7_formula_terms.json\",\n",
+    "    \"_cmip7_option\": 1,\n",
+    "    \"_controlled_vocabulary_file\": CV_FILE_FROM_TABLES_DIR,\n",
+    "    \"activity_id\": \"CMIP\",\n",
+    "    \"calendar\": \"360_day\",\n",
+    "    \"drs_specs\": \"MIP-DRS7\",\n",
+    "    \"experiment_id\": \"amip\",\n",
+    "    \"forcing_index\": \"f3\",\n",
+    "    \"frequency\": \"mon\",\n",
+    "    \"grid_label\": \"g999\",\n",
+    "    \"host_collection\": \"CMIP7\",\n",
+    "    \"initialization_index\": \"i1\",\n",
+    "    \"institution_id\": \"CCCma\",\n",
+    "    \"license_id\": \"CC-BY-4.0\",\n",
+    "    \"mip_era\": \"CMIP7\",\n",
+    "    \"nominal_resolution\": \"100 km\",\n",
+    "    \"outpath\": str(output_dir),\n",
+    "    \"physics_index\": \"p1\",\n",
+    "    \"realization_index\": \"r9\",\n",
+    "    \"region\": \"glb\",\n",
+    "    \"source_id\": \"DUMMY-MODEL\",\n",
+    "    \"tracking_prefix\": \"hdl:21.14107\",\n",
+    "}\n",
+    "input_json = run_dir / \"input.json\"\n",
+    "input_json.write_text(json.dumps(DATASET_INFO, indent=2, sort_keys=True))\n",
+    "\n",
+    "lat = np.arange(-85.0, 90.0, 10.0)\n",
+    "lat_bnds = np.arange(-90.0, 91.0, 10.0)\n",
+    "lon = np.arange(5.0, 360.0, 10.0)\n",
+    "lon_bnds = np.arange(0.0, 361.0, 10.0)\n",
+    "time = 15.0 + 30.0 * np.arange(3, dtype=\"f8\")\n",
+    "time_bnds = 30.0 * np.arange(4, dtype=\"f8\")\n",
+    "time_units = \"days since 2018-01-01\"\n",
+    "\n",
+    "seasonal_cycle = np.array([-5.0, -1.0, 3.0], dtype=\"f4\")[:, None, None, None]\n",
+    "lat_term = np.sin(np.deg2rad(lat))[None, None, :, None] ** 2\n",
+    "lon_term = np.cos(np.deg2rad(lon))[None, None, None, :]\n",
+    "tas = (288.0 - 45.0 * lat_term + 2.0 * lon_term + seasonal_cycle).astype(\"f4\")\n",
+    "\n",
+    "tas.shape\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d2ded412",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cmor.setup(\n",
+    "    inpath=str(TABLES_DIR),\n",
+    "    netcdf_file_action=cmor.CMOR_REPLACE,\n",
+    "    logfile=str(run_dir / \"cmor.log\"),\n",
+    ")\n",
+    "cmor.dataset_json(str(input_json))\n",
+    "cmor.load_table(\"CMIP7_atmos.json\")\n",
+    "\n",
+    "time_id = cmor.axis(\"time\", coord_vals=time, cell_bounds=time_bnds, units=time_units)\n",
+    "height_id = cmor.axis(\"height2m\", coord_vals=np.array([2.0]), units=\"m\")\n",
+    "lat_id = cmor.axis(\"latitude\", coord_vals=lat, cell_bounds=lat_bnds, units=\"degrees_north\")\n",
+    "lon_id = cmor.axis(\"longitude\", coord_vals=lon, cell_bounds=lon_bnds, units=\"degrees_east\")\n",
+    "\n",
+    "variable_name = \"tas_tavg-h2m-hxy-u\"\n",
+    "tas_id = cmor.variable(variable_name, \"K\", [time_id, height_id, lat_id, lon_id])\n",
+    "compound_name = \".\".join([\"atmos\"] + variable_name.split(\"_\") + [\"mon\", \"glb\"])\n",
+    "\n",
+    "with open(TABLES_DIR / \"CMIP7_cell_measures.json\") as handle:\n",
+    "    cell_measure = json.load(handle)[\"cell_measures\"].get(compound_name)\n",
+    "if cell_measure:\n",
+    "    cmor.set_variable_attribute(tas_id, \"cell_measures\", \"c\", cell_measure)\n",
+    "\n",
+    "with open(TABLES_DIR / \"CMIP7_long_name_overrides.json\") as handle:\n",
+    "    long_name = json.load(handle)[\"long_name_overrides\"].get(compound_name)\n",
+    "if long_name:\n",
+    "    cmor.set_variable_attribute(tas_id, \"long_name\", \"c\", long_name)\n",
+    "\n",
+    "cmor.write(tas_id, tas)\n",
+    "netcdf_path = Path(cmor.close(tas_id, file_name=True))\n",
+    "cmor.close()\n",
+    "\n",
+    "netcdf_path\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5bf2f00d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with xr.open_dataset(netcdf_path, decode_times=False) as opened:\n",
+    "    ds = opened.load()\n",
+    "ds\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "33d4b0c8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for name in [\"branded_variable\", \"vertical_label\", \"horizontal_label\", \"area_label\", \"frequency\", \"region\"]:\n",
+    "    print(f\"{name}: {ds.attrs.get(name)}\")\n",
+    "print(f\"\\nheight coordinate: {float(ds['height'].values)} {ds['height'].attrs.get('units')}\")\n",
+    "print(f\"Variable attributes: {dict(ds['tas'].attrs)}\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1daca239",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(11, 4.8))\n",
+    "ds[\"tas\"].isel(time=0).plot.pcolormesh(\n",
+    "    ax=ax,\n",
+    "    x=\"lon\",\n",
+    "    y=\"lat\",\n",
+    "    cmap=\"RdYlBu_r\",\n",
+    "    cbar_kwargs={\"label\": \"K\"},\n",
+    ")\n",
+    "ax.set_title(\"CMIP7 tas at 2 m, first month\")\n",
+    "ax.set_xlabel(\"Longitude\")\n",
+    "ax.set_ylabel(\"Latitude\")\n",
+    "ax.set_xlim(0, 360)\n",
+    "ax.set_ylim(-90, 90)\n",
+    "ax.grid(True, alpha=0.25)\n",
+    "plt.show()\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "name": "python",
+   "pygments_lexer": "ipython3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/03_pressure_level_air_temperature.ipynb b/notebooks/03_pressure_level_air_temperature.ipynb
new file mode 100644
index 00000000..211c9eff
--- /dev/null
+++ b/notebooks/03_pressure_level_air_temperature.ipynb
@@ -0,0 +1,240 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "8ba27efb",
+   "metadata": {},
+   "source": [
+    "# 03 - Atmospheric Temperature On Pressure Levels\n",
+    "\n",
+    "Create a CMIP7 monthly air temperature file (`ta_tavg-p19-hxy-air`) on the requested 19 pressure levels."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4c424c5c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pathlib import Path\n",
+    "import json\n",
+    "import shutil\n",
+    "\n",
+    "import cmor\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import xarray as xr\n",
+    "\n",
+    "start = Path.cwd().resolve()\n",
+    "for candidate in (start, *start.parents):\n",
+    "    if (candidate / \"notebooks\" / \"NOTEBOOKS.md\").exists() or (candidate / \".git\").exists():\n",
+    "        REPO_ROOT = candidate\n",
+    "        break\n",
+    "else:\n",
+    "    REPO_ROOT = start\n",
+    "\n",
+    "TABLES_REPO = REPO_ROOT / \"cmip7-cmor-tables\"\n",
+    "TABLES_DIR = TABLES_REPO / \"tables\"\n",
+    "if not TABLES_DIR.exists():\n",
+    "    raise FileNotFoundError(f\"CMIP7 tables directory not found: {TABLES_DIR}\")\n",
+    "\n",
+    "CV_FILE_FROM_TABLES_DIR = \"../tables-cvs/cmor-cvs.json\"\n",
+    "\n",
+    "print(f\"Using CMIP7 tables from {TABLES_REPO}\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1324ba6e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "run_dir = REPO_ROOT / \"notebooks\" / \"output\" / \"03_pressure_level_air_temperature\"\n",
+    "if run_dir.exists():\n",
+    "    shutil.rmtree(run_dir)\n",
+    "output_dir = run_dir / \"cmor_output\"\n",
+    "output_dir.mkdir(parents=True)\n",
+    "\n",
+    "DATASET_INFO = {\n",
+    "    \"_AXIS_ENTRY_FILE\": \"CMIP7_coordinate.json\",\n",
+    "    \"_FORMULA_VAR_FILE\": \"CMIP7_formula_terms.json\",\n",
+    "    \"_cmip7_option\": 1,\n",
+    "    \"_controlled_vocabulary_file\": CV_FILE_FROM_TABLES_DIR,\n",
+    "    \"activity_id\": \"CMIP\",\n",
+    "    \"calendar\": \"360_day\",\n",
+    "    \"drs_specs\": \"MIP-DRS7\",\n",
+    "    \"experiment_id\": \"amip\",\n",
+    "    \"forcing_index\": \"f3\",\n",
+    "    \"frequency\": \"mon\",\n",
+    "    \"grid_label\": \"g999\",\n",
+    "    \"host_collection\": \"CMIP7\",\n",
+    "    \"initialization_index\": \"i1\",\n",
+    "    \"institution_id\": \"CCCma\",\n",
+    "    \"license_id\": \"CC-BY-4.0\",\n",
+    "    \"mip_era\": \"CMIP7\",\n",
+    "    \"nominal_resolution\": \"100 km\",\n",
+    "    \"outpath\": str(output_dir),\n",
+    "    \"physics_index\": \"p1\",\n",
+    "    \"realization_index\": \"r9\",\n",
+    "    \"region\": \"glb\",\n",
+    "    \"source_id\": \"DUMMY-MODEL\",\n",
+    "    \"tracking_prefix\": \"hdl:21.14107\",\n",
+    "}\n",
+    "input_json = run_dir / \"input.json\"\n",
+    "input_json.write_text(json.dumps(DATASET_INFO, indent=2, sort_keys=True))\n",
+    "\n",
+    "lat = np.arange(-85.0, 90.0, 10.0)\n",
+    "lat_bnds = np.arange(-90.0, 91.0, 10.0)\n",
+    "lon = np.arange(5.0, 360.0, 10.0)\n",
+    "lon_bnds = np.arange(0.0, 361.0, 10.0)\n",
+    "time = 15.0 + 30.0 * np.arange(2, dtype=\"f8\")\n",
+    "time_bnds = 30.0 * np.arange(3, dtype=\"f8\")\n",
+    "time_units = \"days since 2018-01-01\"\n",
+    "plev = np.array(\n",
+    "    [\n",
+    "        100000.0,\n",
+    "        92500.0,\n",
+    "        85000.0,\n",
+    "        70000.0,\n",
+    "        60000.0,\n",
+    "        50000.0,\n",
+    "        40000.0,\n",
+    "        30000.0,\n",
+    "        25000.0,\n",
+    "        20000.0,\n",
+    "        15000.0,\n",
+    "        10000.0,\n",
+    "        7000.0,\n",
+    "        5000.0,\n",
+    "        3000.0,\n",
+    "        2000.0,\n",
+    "        1000.0,\n",
+    "        500.0,\n",
+    "        100.0,\n",
+    "    ],\n",
+    "    dtype=\"f8\",\n",
+    ")\n",
+    "\n",
+    "seasonal_cycle = np.array([0.0, 1.2], dtype=\"f4\")[:, None, None, None]\n",
+    "pressure_term = np.log(plev[None, :, None, None] / 100000.0)\n",
+    "lat_term = np.sin(np.deg2rad(lat))[None, None, :, None] ** 2\n",
+    "lon_term = np.cos(np.deg2rad(lon))[None, None, None, :]\n",
+    "ta = (285.0 + 32.0 * pressure_term - 35.0 * lat_term + lon_term + seasonal_cycle).astype(\"f4\")\n",
+    "\n",
+    "ta.shape\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c59fb308",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cmor.setup(\n",
+    "    inpath=str(TABLES_DIR),\n",
+    "    netcdf_file_action=cmor.CMOR_REPLACE,\n",
+    "    logfile=str(run_dir / \"cmor.log\"),\n",
+    ")\n",
+    "cmor.dataset_json(str(input_json))\n",
+    "cmor.load_table(\"CMIP7_atmos.json\")\n",
+    "\n",
+    "time_id = cmor.axis(\"time\", coord_vals=time, cell_bounds=time_bnds, units=time_units)\n",
+    "plev_id = cmor.axis(\"plev19\", coord_vals=plev, units=\"Pa\")\n",
+    "lat_id = cmor.axis(\"latitude\", coord_vals=lat, cell_bounds=lat_bnds, units=\"degrees_north\")\n",
+    "lon_id = cmor.axis(\"longitude\", coord_vals=lon, cell_bounds=lon_bnds, units=\"degrees_east\")\n",
+    "\n",
+    "variable_name = \"ta_tavg-p19-hxy-air\"\n",
+    "ta_id = cmor.variable(variable_name, \"K\", [time_id, plev_id, lat_id, lon_id])\n",
+    "compound_name = \".\".join([\"atmos\"] + variable_name.split(\"_\") + [\"mon\", \"glb\"])\n",
+    "\n",
+    "with open(TABLES_DIR / \"CMIP7_cell_measures.json\") as handle:\n",
+    "    cell_measure = json.load(handle)[\"cell_measures\"].get(compound_name)\n",
+    "if cell_measure:\n",
+    "    cmor.set_variable_attribute(ta_id, \"cell_measures\", \"c\", cell_measure)\n",
+    "\n",
+    "with open(TABLES_DIR / \"CMIP7_long_name_overrides.json\") as handle:\n",
+    "    long_name = json.load(handle)[\"long_name_overrides\"].get(compound_name)\n",
+    "if long_name:\n",
+    "    cmor.set_variable_attribute(ta_id, \"long_name\", \"c\", long_name)\n",
+    "\n",
+    "cmor.write(ta_id, ta)\n",
+    "netcdf_path = Path(cmor.close(ta_id, file_name=True))\n",
+    "cmor.close()\n",
+    "\n",
+    "netcdf_path\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "09d6a9fe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with xr.open_dataset(netcdf_path, decode_times=False) as opened:\n",
+    "    ds = opened.load()\n",
+    "ds\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "968c5286",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(ds[[\"ta\"]])\n",
+    "print(\"pressure levels:\", ds[\"plev\"].values)\n",
+    "print(\"plev units:\", ds[\"plev\"].attrs.get(\"units\"))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "917090d2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(11, 4.8))\n",
+    "ds[\"ta\"].sel(plev=50000.0).isel(time=0).plot.pcolormesh(\n",
+    "    ax=ax,\n",
+    "    x=\"lon\",\n",
+    "    y=\"lat\",\n",
+    "    cmap=\"RdYlBu_r\",\n",
+    "    cbar_kwargs={\"label\": \"K\"},\n",
+    ")\n",
+    "ax.set_title(\"CMIP7 ta at 500 hPa, first month\")\n",
+    "ax.set_xlabel(\"Longitude\")\n",
+    "ax.set_ylabel(\"Latitude\")\n",
+    "ax.set_xlim(0, 360)\n",
+    "ax.set_ylim(-90, 90)\n",
+    "ax.grid(True, alpha=0.25)\n",
+    "plt.show()\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.14.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/04_hybrid_sigma_zfactors.ipynb b/notebooks/04_hybrid_sigma_zfactors.ipynb
new file mode 100644
index 00000000..28dac087
--- /dev/null
+++ b/notebooks/04_hybrid_sigma_zfactors.ipynb
@@ -0,0 +1,237 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "f3b725d8",
+   "metadata": {},
+   "source": [
+    "# 04 - Hybrid Sigma Coordinate With Z-Factors\n",
+    "\n",
+    "Create a CMIP7 monthly air temperature file (`ta_tavg-al-hxy-u`) on a standard hybrid sigma pressure coordinate. This example defines the vertical coordinate formula terms with CMOR zfactors and stores surface pressure with the data variable."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e502e550",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pathlib import Path\n",
+    "import json\n",
+    "import shutil\n",
+    "\n",
+    "import cmor\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import xarray as xr\n",
+    "\n",
+    "start = Path.cwd().resolve()\n",
+    "for candidate in (start, *start.parents):\n",
+    "    if (candidate / \"notebooks\" / \"NOTEBOOKS.md\").exists() or (candidate / \".git\").exists():\n",
+    "        REPO_ROOT = candidate\n",
+    "        break\n",
+    "else:\n",
+    "    REPO_ROOT = start\n",
+    "\n",
+    "TABLES_REPO = REPO_ROOT / \"cmip7-cmor-tables\"\n",
+    "TABLES_DIR = TABLES_REPO / \"tables\"\n",
+    "if not TABLES_DIR.exists():\n",
+    "    raise FileNotFoundError(f\"CMIP7 tables directory not found: {TABLES_DIR}\")\n",
+    "\n",
+    "CV_FILE_FROM_TABLES_DIR = \"../tables-cvs/cmor-cvs.json\"\n",
+    "\n",
+    "print(f\"Using CMIP7 tables from {TABLES_REPO}\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "795d90b2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "run_dir = REPO_ROOT / \"notebooks\" / \"output\" / \"04_hybrid_sigma_zfactors\"\n",
+    "if run_dir.exists():\n",
+    "    shutil.rmtree(run_dir)\n",
+    "output_dir = run_dir / \"cmor_output\"\n",
+    "output_dir.mkdir(parents=True)\n",
+    "\n",
+    "DATASET_INFO = {\n",
+    "    \"_AXIS_ENTRY_FILE\": \"CMIP7_coordinate.json\",\n",
+    "    \"_FORMULA_VAR_FILE\": \"CMIP7_formula_terms.json\",\n",
+    "    \"_cmip7_option\": 1,\n",
+    "    \"_controlled_vocabulary_file\": CV_FILE_FROM_TABLES_DIR,\n",
+    "    \"activity_id\": \"CMIP\",\n",
+    "    \"calendar\": \"360_day\",\n",
+    "    \"drs_specs\": \"MIP-DRS7\",\n",
+    "    \"experiment_id\": \"amip\",\n",
+    "    \"forcing_index\": \"f3\",\n",
+    "    \"frequency\": \"mon\",\n",
+    "    \"grid_label\": \"g999\",\n",
+    "    \"host_collection\": \"CMIP7\",\n",
+    "    \"initialization_index\": \"i1\",\n",
+    "    \"institution_id\": \"CCCma\",\n",
+    "    \"license_id\": \"CC-BY-4.0\",\n",
+    "    \"mip_era\": \"CMIP7\",\n",
+    "    \"nominal_resolution\": \"100 km\",\n",
+    "    \"outpath\": str(output_dir),\n",
+    "    \"physics_index\": \"p1\",\n",
+    "    \"realization_index\": \"r9\",\n",
+    "    \"region\": \"glb\",\n",
+    "    \"source_id\": \"DUMMY-MODEL\",\n",
+    "    \"tracking_prefix\": \"hdl:21.14107\",\n",
+    "}\n",
+    "input_json = run_dir / \"input.json\"\n",
+    "input_json.write_text(json.dumps(DATASET_INFO, indent=2, sort_keys=True))\n",
+    "\n",
+    "lat = np.arange(-85.0, 90.0, 10.0)\n",
+    "lat_bnds = np.arange(-90.0, 91.0, 10.0)\n",
+    "lon = np.arange(5.0, 360.0, 10.0)\n",
+    "lon_bnds = np.arange(0.0, 361.0, 10.0)\n",
+    "time = 15.0 + 30.0 * np.arange(2, dtype=\"f8\")\n",
+    "time_bnds = 30.0 * np.arange(3, dtype=\"f8\")\n",
+    "time_units = \"days since 2018-01-01\"\n",
+    "\n",
+    "lev = np.array([0.95, 0.75, 0.50, 0.25, 0.05], dtype=\"f8\")\n",
+    "lev_bnds = np.array([1.0, 0.85, 0.625, 0.375, 0.125, 0.0], dtype=\"f8\")\n",
+    "a = np.array([0.02, 0.05, 0.10, 0.20, 0.35], dtype=\"f8\")\n",
+    "a_bnds = np.array([0.0, 0.035, 0.075, 0.15, 0.275, 0.45], dtype=\"f8\")\n",
+    "b = np.array([0.90, 0.70, 0.45, 0.20, 0.03], dtype=\"f8\")\n",
+    "b_bnds = np.array([1.0, 0.80, 0.575, 0.325, 0.115, 0.0], dtype=\"f8\")\n",
+    "p0 = np.array([100000.0], dtype=\"f8\")\n",
+    "\n",
+    "seasonal_cycle = np.array([0.0, 1.0], dtype=\"f4\")[:, None, None, None]\n",
+    "lev_term = lev[None, :, None, None]\n",
+    "lat_term = np.sin(np.deg2rad(lat))[None, None, :, None] ** 2\n",
+    "lon_term = np.cos(np.deg2rad(lon))[None, None, None, :]\n",
+    "ta = (290.0 - 55.0 * (1.0 - lev_term) - 30.0 * lat_term + lon_term + seasonal_cycle).astype(\"f4\")\n",
+    "\n",
+    "ps = (\n",
+    "    98000.0\n",
+    "    - 12000.0 * np.sin(np.deg2rad(lat))[None, :, None] ** 2\n",
+    "    + 300.0 * np.cos(np.deg2rad(lon))[None, None, :]\n",
+    "    + np.array([0.0, 150.0], dtype=\"f4\")[:, None, None]\n",
+    ").astype(\"f4\")\n",
+    "\n",
+    "ta.shape, ps.shape\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "08d92b3e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cmor.setup(\n",
+    "    inpath=str(TABLES_DIR),\n",
+    "    netcdf_file_action=cmor.CMOR_REPLACE,\n",
+    "    logfile=str(run_dir / \"cmor.log\"),\n",
+    ")\n",
+    "cmor.dataset_json(str(input_json))\n",
+    "cmor.load_table(\"CMIP7_atmos.json\")\n",
+    "\n",
+    "time_id = cmor.axis(\"time\", coord_vals=time, cell_bounds=time_bnds, units=time_units)\n",
+    "lev_id = cmor.axis(\"standard_hybrid_sigma\", coord_vals=lev, cell_bounds=lev_bnds, units=\"1\")\n",
+    "lat_id = cmor.axis(\"latitude\", coord_vals=lat, cell_bounds=lat_bnds, units=\"degrees_north\")\n",
+    "lon_id = cmor.axis(\"longitude\", coord_vals=lon, cell_bounds=lon_bnds, units=\"degrees_east\")\n",
+    "\n",
+    "cmor.zfactor(zaxis_id=lev_id, zfactor_name=\"a\", axis_ids=[lev_id], zfactor_values=a, zfactor_bounds=a_bnds)\n",
+    "cmor.zfactor(zaxis_id=lev_id, zfactor_name=\"b\", axis_ids=[lev_id], zfactor_values=b, zfactor_bounds=b_bnds)\n",
+    "cmor.zfactor(zaxis_id=lev_id, zfactor_name=\"p0\", units=\"Pa\", zfactor_values=p0)\n",
+    "ps_id = cmor.zfactor(zaxis_id=lev_id, zfactor_name=\"ps\", axis_ids=[time_id, lat_id, lon_id], units=\"Pa\")\n",
+    "\n",
+    "variable_name = \"ta_tavg-al-hxy-u\"\n",
+    "ta_id = cmor.variable(variable_name, \"K\", [time_id, lev_id, lat_id, lon_id])\n",
+    "compound_name = \".\".join([\"atmos\"] + variable_name.split(\"_\") + [\"mon\", \"glb\"])\n",
+    "\n",
+    "with open(TABLES_DIR / \"CMIP7_cell_measures.json\") as handle:\n",
+    "    cell_measure = json.load(handle)[\"cell_measures\"].get(compound_name)\n",
+    "if cell_measure:\n",
+    "    cmor.set_variable_attribute(ta_id, \"cell_measures\", \"c\", cell_measure)\n",
+    "\n",
+    "with open(TABLES_DIR / \"CMIP7_long_name_overrides.json\") as handle:\n",
+    "    long_name = json.load(handle)[\"long_name_overrides\"].get(compound_name)\n",
+    "if long_name:\n",
+    "    cmor.set_variable_attribute(ta_id, \"long_name\", \"c\", long_name)\n",
+    "\n",
+    "cmor.write(ta_id, ta)\n",
+    "cmor.write(ps_id, ps, store_with=ta_id)\n",
+    "netcdf_path = Path(cmor.close(ta_id, file_name=True))\n",
+    "cmor.close()\n",
+    "\n",
+    "netcdf_path\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "85b00c73",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with xr.open_dataset(netcdf_path, decode_times=False) as opened:\n",
+    "    ds = opened.load()\n",
+    "ds\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "778254c2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(ds[[\"ta\", \"ps\", \"a\", \"b\", \"p0\"]])\n",
+    "print(\"lev formula_terms:\", ds[\"lev\"].attrs.get(\"formula_terms\"))\n",
+    "print(\"lev formula:\", ds[\"lev\"].attrs.get(\"formula\"))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "07c200fc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(11, 4.8))\n",
+    "ds[\"ta\"].isel(time=0, lev=2).plot.pcolormesh(\n",
+    "    ax=ax,\n",
+    "    x=\"lon\",\n",
+    "    y=\"lat\",\n",
+    "    cmap=\"RdYlBu_r\",\n",
+    "    cbar_kwargs={\"label\": \"K\"},\n",
+    ")\n",
+    "ax.set_title(\"CMIP7 ta on hybrid level 3, first month\")\n",
+    "ax.set_xlabel(\"Longitude\")\n",
+    "ax.set_ylabel(\"Latitude\")\n",
+    "ax.set_xlim(0, 360)\n",
+    "ax.set_ylim(-90, 90)\n",
+    "ax.grid(True, alpha=0.25)\n",
+    "plt.show()\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.14.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/05_curvilinear_ocean_grid.ipynb b/notebooks/05_curvilinear_ocean_grid.ipynb
new file mode 100644
index 00000000..e53c9a2b
--- /dev/null
+++ b/notebooks/05_curvilinear_ocean_grid.ipynb
@@ -0,0 +1,254 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "7bbd1cab",
+   "metadata": {},
+   "source": [
+    "# 05 - Ocean Surface Temperature On A Curvilinear Grid\n",
+    "\n",
+    "Create a CMIP7 monthly sea surface temperature file (`tos_tavg-u-hxy-sea`) using `cmor.grid` with two-dimensional latitude and longitude coordinates."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b1ff03ee",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pathlib import Path\n",
+    "import json\n",
+    "import shutil\n",
+    "\n",
+    "import cmor\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import xarray as xr\n",
+    "\n",
+    "start = Path.cwd().resolve()\n",
+    "for candidate in (start, *start.parents):\n",
+    "    if (candidate / \"notebooks\" / \"NOTEBOOKS.md\").exists() or (candidate / \".git\").exists():\n",
+    "        REPO_ROOT = candidate\n",
+    "        break\n",
+    "else:\n",
+    "    REPO_ROOT = start\n",
+    "\n",
+    "TABLES_REPO = REPO_ROOT / \"cmip7-cmor-tables\"\n",
+    "TABLES_DIR = TABLES_REPO / \"tables\"\n",
+    "if not TABLES_DIR.exists():\n",
+    "    raise FileNotFoundError(f\"CMIP7 tables directory not found: {TABLES_DIR}\")\n",
+    "\n",
+    "CV_FILE_FROM_TABLES_DIR = \"../tables-cvs/cmor-cvs.json\"\n",
+    "\n",
+    "print(f\"Using CMIP7 tables from {TABLES_REPO}\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "88d6766e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "run_dir = REPO_ROOT / \"notebooks\" / \"output\" / \"05_curvilinear_ocean_grid\"\n",
+    "if run_dir.exists():\n",
+    "    shutil.rmtree(run_dir)\n",
+    "output_dir = run_dir / \"cmor_output\"\n",
+    "output_dir.mkdir(parents=True)\n",
+    "\n",
+    "DATASET_INFO = {\n",
+    "    \"_AXIS_ENTRY_FILE\": \"CMIP7_coordinate.json\",\n",
+    "    \"_FORMULA_VAR_FILE\": \"CMIP7_formula_terms.json\",\n",
+    "    \"_cmip7_option\": 1,\n",
+    "    \"_controlled_vocabulary_file\": CV_FILE_FROM_TABLES_DIR,\n",
+    "    \"activity_id\": \"CMIP\",\n",
+    "    \"calendar\": \"360_day\",\n",
+    "    \"drs_specs\": \"MIP-DRS7\",\n",
+    "    \"experiment_id\": \"amip\",\n",
+    "    \"forcing_index\": \"f3\",\n",
+    "    \"frequency\": \"mon\",\n",
+    "    \"grid_label\": \"g999\",\n",
+    "    \"host_collection\": \"CMIP7\",\n",
+    "    \"initialization_index\": \"i1\",\n",
+    "    \"institution_id\": \"CCCma\",\n",
+    "    \"license_id\": \"CC-BY-4.0\",\n",
+    "    \"mip_era\": \"CMIP7\",\n",
+    "    \"nominal_resolution\": \"100 km\",\n",
+    "    \"outpath\": str(output_dir),\n",
+    "    \"physics_index\": \"p1\",\n",
+    "    \"realization_index\": \"r9\",\n",
+    "    \"region\": \"glb\",\n",
+    "    \"source_id\": \"DUMMY-MODEL\",\n",
+    "    \"tracking_prefix\": \"hdl:21.14107\",\n",
+    "}\n",
+    "input_json = run_dir / \"input.json\"\n",
+    "input_json.write_text(json.dumps(DATASET_INFO, indent=2, sort_keys=True))\n",
+    "\n",
+    "ny, nx = 18, 36\n",
+    "y = np.arange(ny, dtype=\"f8\")\n",
+    "x = np.arange(nx, dtype=\"f8\")\n",
+    "lat_centers = -85.0 + 10.0 * np.arange(ny, dtype=\"f8\")\n",
+    "lon_centers = 5.0 + 10.0 * np.arange(nx, dtype=\"f8\")\n",
+    "lon_grid, lat_grid = np.meshgrid(lon_centers, lat_centers)\n",
+    "latitude = np.clip(lat_grid + 1.5 * np.sin(np.deg2rad(lon_grid)) * np.cos(np.deg2rad(lat_grid)), -90.0, 90.0)\n",
+    "longitude = (lon_grid + 1.5 * np.sin(np.deg2rad(lat_grid))) % 360.0\n",
+    "\n",
+    "lat_edges = -90.0 + 10.0 * np.arange(ny + 1, dtype=\"f8\")\n",
+    "lon_edges = 10.0 * np.arange(nx + 1, dtype=\"f8\")\n",
+    "latitude_vertices = np.empty((ny, nx, 4), dtype=\"f8\")\n",
+    "longitude_vertices = np.empty((ny, nx, 4), dtype=\"f8\")\n",
+    "for j in range(ny):\n",
+    "    for i in range(nx):\n",
+    "        corners = [\n",
+    "            (lat_edges[j], lon_edges[i]),\n",
+    "            (lat_edges[j], lon_edges[i + 1]),\n",
+    "            (lat_edges[j + 1], lon_edges[i + 1]),\n",
+    "            (lat_edges[j + 1], lon_edges[i]),\n",
+    "        ]\n",
+    "        for vertex, (lat_value, lon_value) in enumerate(corners):\n",
+    "            latitude_vertices[j, i, vertex] = np.clip(\n",
+    "                lat_value + 1.5 * np.sin(np.deg2rad(lon_value)) * np.cos(np.deg2rad(lat_value)),\n",
+    "                -90.0,\n",
+    "                90.0,\n",
+    "            )\n",
+    "            longitude_vertices[j, i, vertex] = (lon_value + 1.5 * np.sin(np.deg2rad(lat_value))) % 360.0\n",
+    "\n",
+    "time = 15.0 + 30.0 * np.arange(2, dtype=\"f8\")\n",
+    "time_bnds = 30.0 * np.arange(3, dtype=\"f8\")\n",
+    "time_units = \"days since 2018-01-01\"\n",
+    "\n",
+    "seasonal_cycle = np.array([0.0, 0.8], dtype=\"f4\")[:, None, None]\n",
+    "tos = (\n",
+    "    15.0\n",
+    "    - 25.0 * np.sin(np.deg2rad(latitude))[None, :, :] ** 2\n",
+    "    + 1.5 * np.cos(np.deg2rad(longitude))[None, :, :]\n",
+    "    + seasonal_cycle\n",
+    ").astype(\"f4\")\n",
+    "\n",
+    "tos.shape\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ab381eda",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cmor.setup(\n",
+    "    inpath=str(TABLES_DIR),\n",
+    "    netcdf_file_action=cmor.CMOR_REPLACE,\n",
+    "    logfile=str(run_dir / \"cmor.log\"),\n",
+    ")\n",
+    "cmor.dataset_json(str(input_json))\n",
+    "\n",
+    "grid_table = cmor.load_table(\"CMIP7_grids.json\")\n",
+    "ocean_table = cmor.load_table(\"CMIP7_ocean.json\")\n",
+    "\n",
+    "cmor.set_table(grid_table)\n",
+    "y_id = cmor.axis(\"y\", coord_vals=y, units=\"m\")\n",
+    "x_id = cmor.axis(\"x\", coord_vals=x, units=\"m\")\n",
+    "grid_id = cmor.grid(\n",
+    "    axis_ids=[y_id, x_id],\n",
+    "    latitude=latitude,\n",
+    "    longitude=longitude,\n",
+    "    latitude_vertices=latitude_vertices,\n",
+    "    longitude_vertices=longitude_vertices,\n",
+    ")\n",
+    "\n",
+    "cmor.set_table(ocean_table)\n",
+    "time_id = cmor.axis(\"time\", coord_vals=time, cell_bounds=time_bnds, units=time_units)\n",
+    "\n",
+    "variable_name = \"tos_tavg-u-hxy-sea\"\n",
+    "tos_id = cmor.variable(variable_name, \"degC\", [time_id, grid_id])\n",
+    "compound_name = \".\".join([\"ocean\"] + variable_name.split(\"_\") + [\"mon\", \"glb\"])\n",
+    "\n",
+    "with open(TABLES_DIR / \"CMIP7_cell_measures.json\") as handle:\n",
+    "    cell_measure = json.load(handle)[\"cell_measures\"].get(compound_name)\n",
+    "if cell_measure:\n",
+    "    cmor.set_variable_attribute(tos_id, \"cell_measures\", \"c\", cell_measure)\n",
+    "\n",
+    "with open(TABLES_DIR / \"CMIP7_long_name_overrides.json\") as handle:\n",
+    "    long_name = json.load(handle)[\"long_name_overrides\"].get(compound_name)\n",
+    "if long_name:\n",
+    "    cmor.set_variable_attribute(tos_id, \"long_name\", \"c\", long_name)\n",
+    "\n",
+    "cmor.write(tos_id, tos)\n",
+    "netcdf_path = Path(cmor.close(tos_id, file_name=True))\n",
+    "cmor.close()\n",
+    "\n",
+    "netcdf_path\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "98246667",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with xr.open_dataset(netcdf_path, decode_times=False) as opened:\n",
+    "    ds = opened.load()\n",
+    "ds\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cb58c0ef",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(ds[[\"tos\", \"latitude\", \"longitude\"]])\n",
+    "print(\"coordinates on tos:\", ds[\"tos\"].attrs.get(\"coordinates\"))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9148e5df",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(11, 4.8))\n",
+    "mesh = ax.pcolormesh(\n",
+    "    ds[\"longitude\"],\n",
+    "    ds[\"latitude\"],\n",
+    "    ds[\"tos\"].isel(time=0),\n",
+    "    shading=\"auto\",\n",
+    "    cmap=\"coolwarm\",\n",
+    ")\n",
+    "fig.colorbar(mesh, ax=ax, label=\"degC\")\n",
+    "ax.set_title(\"CMIP7 tos on a curvilinear grid, first month\")\n",
+    "ax.set_xlabel(\"Longitude\")\n",
+    "ax.set_ylabel(\"Latitude\")\n",
+    "ax.set_xlim(0, 360)\n",
+    "ax.set_ylim(-90, 90)\n",
+    "ax.grid(True, alpha=0.25)\n",
+    "plt.show()\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.14.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/README.md b/notebooks/README.md
new file mode 100644
index 00000000..a2f00f8b
--- /dev/null
+++ b/notebooks/README.md
@@ -0,0 +1,29 @@
+# CMIP7 CMOR Example Notebooks
+
+These notebooks demonstrate how to use CMOR to create CMIP7 dataset files from synthetic data. Each notebook is self-contained and downloads `cmip7-cmor-tables` if the tables are not already present in the repository.
+
+## Setup
+
+Create the notebook environment from the repository root:
+
+```bash
+python3.14 -m venv notebook-env
+notebook-env/bin/python -m pip install cmor --extra-index-url https://pcmdi.github.io/cmor
+notebook-env/bin/python -m pip install jupyterlab xarray matplotlib netCDF4
+```
+
+Start JupyterLab:
+
+```bash
+notebook-env/bin/jupyter lab notebooks
+```
+
+The notebooks write generated NetCDF files under `notebooks/output/`.
+
+## Notebooks
+
+1. `01_basic_ocean_surface_temperature.ipynb`: writes monthly sea surface temperature (`tos_tavg-u-hxy-sea`) on a global 10 degree latitude-longitude grid.
+2. `02_atmos_surface_air_temperature.ipynb`: writes 2 m air temperature (`tas_tavg-h2m-hxy-u`) and demonstrates the fixed-height coordinate.
+3. `03_pressure_level_air_temperature.ipynb`: writes air temperature (`ta_tavg-p19-hxy-air`) on the CMIP7 19 pressure levels.
+4. `04_hybrid_sigma_zfactors.ipynb`: writes air temperature (`ta_tavg-al-hxy-u`) on a hybrid sigma pressure coordinate with CMOR zfactors.
+5. `05_curvilinear_ocean_grid.ipynb`: writes sea surface temperature (`tos_tavg-u-hxy-sea`) using `cmor.grid` with two-dimensional latitude and longitude coordinates.

From 501c5c60dafccac03162005d824a0186f0c53237 Mon Sep 17 00:00:00 2001
From: Chris Mauzey <mauzey1@llnl.gov>
Date: Fri, 29 May 2026 13:56:45 -0700
Subject: [PATCH 02/25] Update notebooks README and add map to visualization

---
 .gitignore                                    |   2 +-
 .../01_basic_ocean_surface_temperature.ipynb  | 825 ++++++++++++++-
 .../02_atmos_surface_air_temperature.ipynb    | 835 +++++++++++++++-
 .../03_pressure_level_air_temperature.ipynb   | 844 +++++++++++++++-
 notebooks/04_hybrid_sigma_zfactors.ipynb      | 896 ++++++++++++++++-
 notebooks/05_curvilinear_ocean_grid.ipynb     | 938 +++++++++++++++++-
 notebooks/README.md                           |  11 +-
 7 files changed, 4222 insertions(+), 129 deletions(-)

diff --git a/.gitignore b/.gitignore
index d9b4ab7f..ef42177f 100644
--- a/.gitignore
+++ b/.gitignore
@@ -29,6 +29,6 @@ include/cmor_locale.h
 recipes/cmor/meta.yaml
 CMOR.egg-info
 cmor.log*
-notebook-env/
+venv/
 notebooks/output/
 .ipynb_checkpoints/
diff --git a/notebooks/01_basic_ocean_surface_temperature.ipynb b/notebooks/01_basic_ocean_surface_temperature.ipynb
index 7d06450e..7aa6056c 100644
--- a/notebooks/01_basic_ocean_surface_temperature.ipynb
+++ b/notebooks/01_basic_ocean_surface_temperature.ipynb
@@ -12,10 +12,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "id": "1ef49a65",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Using CMIP7 tables from /Users/mauzey1/Desktop/github/cmor/cmip7-cmor-tables\n"
+     ]
+    }
+   ],
    "source": [
     "from pathlib import Path\n",
     "import json\n",
@@ -23,6 +31,7 @@
     "\n",
     "import cmor\n",
     "import matplotlib.pyplot as plt\n",
+    "from mpl_toolkits.basemap import Basemap\n",
     "import numpy as np\n",
     "import xarray as xr\n",
     "\n",
@@ -46,10 +55,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "98a3af92",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(3, 18, 36)"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "run_dir = REPO_ROOT / \"notebooks\" / \"output\" / \"01_basic_ocean_surface_temperature\"\n",
     "if run_dir.exists():\n",
@@ -103,10 +123,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "id": "33c84a99",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "PosixPath('/Users/mauzey1/Desktop/github/cmor/notebooks/output/01_basic_ocean_surface_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tos/tavg-u-hxy-sea/g999/v20260529/tos_tavg-u-hxy-sea_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201801-201803.nc')"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "cmor.setup(\n",
     "    inpath=str(TABLES_DIR),\n",
@@ -143,10 +174,713 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "id": "52566071",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
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+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "  margin-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-obj-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-group-box-contents > label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "  margin-block-start: 0;\n",
+       "  margin-block-end: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input,\n",
+       ".xr-group-box-contents > input,\n",
+       ".xr-array-wrap > input {\n",
+       "  display: block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input + label,\n",
+       ".xr-var-item > input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label,\n",
+       ".xr-var-item > input:enabled + label,\n",
+       ".xr-array-wrap > input:enabled + label,\n",
+       ".xr-group-box-contents > input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:focus-visible + label,\n",
+       ".xr-var-item > input:focus-visible + label,\n",
+       ".xr-array-wrap > input:focus-visible + label,\n",
+       ".xr-group-box-contents > input:focus-visible + label {\n",
+       "  outline: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label:hover,\n",
+       ".xr-var-item > input:enabled + label:hover,\n",
+       ".xr-array-wrap > input:enabled + label:hover,\n",
+       ".xr-group-box-contents > input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "  white-space: nowrap;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > em {\n",
+       "  font-weight: normal;\n",
+       "}\n",
+       "\n",
+       ".xr-span-grid {\n",
+       "  grid-column-end: -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.6em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details,\n",
+       ".xr-group-box-contents > label {\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-top: 4px;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in ~ .xr-section-details {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-children {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 100%;\n",
+       "  grid-column: 1 / -1;\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 0px 30px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-vline {\n",
+       "  grid-column-start: 1;\n",
+       "  border-right: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "  width: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-hline {\n",
+       "  grid-column-start: 2;\n",
+       "  grid-row-start: 1;\n",
+       "  height: 1em;\n",
+       "  width: 26px;\n",
+       "  border-bottom: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents {\n",
+       "  grid-column-start: 3;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > label::before {\n",
+       "  content: \"📂\";\n",
+       "  padding-right: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label::before {\n",
+       "  content: \"📁\";\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label {\n",
+       "  padding-bottom: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-ellipsis {\n",
+       "  font-size: 1.4em;\n",
+       "  font-weight: 900;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  letter-spacing: 0.15em;\n",
+       "  cursor: default;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 9kB\n",
+       "Dimensions:    (time: 3, bnds: 2, lat: 18, lon: 36)\n",
+       "Coordinates:\n",
+       "  * time       (time) float64 24B 15.0 45.0 75.0\n",
+       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
+       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) float64 48B 0.0 30.0 30.0 60.0 60.0 90.0\n",
+       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
+       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
+       "    tos        (time, lat, lon) float32 8kB -8.316 -8.361 ... -8.761 -8.716\n",
+       "Attributes: (12/40)\n",
+       "    Conventions:           CF-1.12\n",
+       "    activity_id:           CMIP\n",
+       "    area_label:            sea\n",
+       "    branded_variable:      tos_tavg-u-hxy-sea\n",
+       "    branding_suffix:       tavg-u-hxy-sea\n",
+       "    creation_date:         2026-05-29T20:43:47Z\n",
+       "    ...                    ...\n",
+       "    tracking_id:           hdl:21.14107/ba774a60-6959-4f3d-8a0f-334e9c4be8ee\n",
+       "    variable_id:           tos\n",
+       "    variant_label:         r9i1p1f3\n",
+       "    vertical_label:        u\n",
+       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-25261ede-ec51-418f-9649-9cbcb741514e' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-25261ede-ec51-418f-9649-9cbcb741514e' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 3</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div></li><li class='xr-section-item'><input id='section-4cae78ba-f1f7-4937-b4fa-d3ee945d8c6b' class='xr-section-summary-in' type='checkbox' checked /><label for='section-4cae78ba-f1f7-4937-b4fa-d3ee945d8c6b' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0 75.0</div><input id='attrs-8b53bb3f-aba9-4e7a-bba6-1c1da518d7eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b53bb3f-aba9-4e7a-bba6-1c1da518d7eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d106b2a6-abe1-4c63-a5b3-573361d3455a' class='xr-var-data-in' type='checkbox'><label for='data-d106b2a6-abe1-4c63-a5b3-573361d3455a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45., 75.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-8332d93a-fe2d-4026-878e-a28fcc13ef03' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8332d93a-fe2d-4026-878e-a28fcc13ef03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64d16da7-ca1d-4ad3-9f36-790c68d47b3e' class='xr-var-data-in' type='checkbox'><label for='data-64d16da7-ca1d-4ad3-9f36-790c68d47b3e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
+       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-304a1a64-b563-4a3d-b708-3e54cdfb3a42' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-304a1a64-b563-4a3d-b708-3e54cdfb3a42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7949c5ea-3900-4100-9770-deafd422211b' class='xr-var-data-in' type='checkbox'><label for='data-7949c5ea-3900-4100-9770-deafd422211b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
+       "       125., 135., 145., 155., 165., 175., 185., 195., 205., 215., 225., 235.,\n",
+       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5bbd7729-ddf7-4e03-b81b-b5531f05ad64' class='xr-section-summary-in' type='checkbox' checked /><label for='section-5bbd7729-ddf7-4e03-b81b-b5531f05ad64' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0 60.0 90.0</div><input id='attrs-30766ba5-6e29-444f-b3c3-26d244769b05' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-30766ba5-6e29-444f-b3c3-26d244769b05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d77aea0e-d7f4-4e22-9f44-5cc797fbdf9e' class='xr-var-data-in' type='checkbox'><label for='data-d77aea0e-d7f4-4e22-9f44-5cc797fbdf9e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
+       "       [30., 60.],\n",
+       "       [60., 90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-1eb8e69f-a219-4fa7-8fd3-945a48fe7242' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1eb8e69f-a219-4fa7-8fd3-945a48fe7242' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3e785cc-ec54-420c-8dc4-711605c874ec' class='xr-var-data-in' type='checkbox'><label for='data-b3e785cc-ec54-420c-8dc4-711605c874ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
+       "       [-80., -70.],\n",
+       "       [-70., -60.],\n",
+       "       [-60., -50.],\n",
+       "       [-50., -40.],\n",
+       "       [-40., -30.],\n",
+       "       [-30., -20.],\n",
+       "       [-20., -10.],\n",
+       "       [-10.,   0.],\n",
+       "       [  0.,  10.],\n",
+       "       [ 10.,  20.],\n",
+       "       [ 20.,  30.],\n",
+       "       [ 30.,  40.],\n",
+       "       [ 40.,  50.],\n",
+       "       [ 50.,  60.],\n",
+       "       [ 60.,  70.],\n",
+       "       [ 70.,  80.],\n",
+       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-876412dc-4edc-4ab6-89f4-50bea9028d54' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-876412dc-4edc-4ab6-89f4-50bea9028d54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cde96a39-8c0a-4b63-aa4a-e2aa223e5025' class='xr-var-data-in' type='checkbox'><label for='data-cde96a39-8c0a-4b63-aa4a-e2aa223e5025' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
+       "       [ 10.,  20.],\n",
+       "       [ 20.,  30.],\n",
+       "       [ 30.,  40.],\n",
+       "       [ 40.,  50.],\n",
+       "       [ 50.,  60.],\n",
+       "       [ 60.,  70.],\n",
+       "       [ 70.,  80.],\n",
+       "       [ 80.,  90.],\n",
+       "       [ 90., 100.],\n",
+       "       [100., 110.],\n",
+       "       [110., 120.],\n",
+       "       [120., 130.],\n",
+       "       [130., 140.],\n",
+       "       [140., 150.],\n",
+       "       [150., 160.],\n",
+       "       [160., 170.],\n",
+       "       [170., 180.],\n",
+       "       [180., 190.],\n",
+       "       [190., 200.],\n",
+       "       [200., 210.],\n",
+       "       [210., 220.],\n",
+       "       [220., 230.],\n",
+       "       [230., 240.],\n",
+       "       [240., 250.],\n",
+       "       [250., 260.],\n",
+       "       [260., 270.],\n",
+       "       [270., 280.],\n",
+       "       [280., 290.],\n",
+       "       [290., 300.],\n",
+       "       [300., 310.],\n",
+       "       [310., 320.],\n",
+       "       [320., 330.],\n",
+       "       [330., 340.],\n",
+       "       [340., 350.],\n",
+       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-8.316 -8.361 ... -8.761 -8.716</div><input id='attrs-c4e1dfd3-529d-4d77-89dc-a7232b5ac158' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c4e1dfd3-529d-4d77-89dc-a7232b5ac158' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5778ecd-b9fb-4391-9f02-fc46c4b49cf2' class='xr-var-data-in' type='checkbox'><label for='data-d5778ecd-b9fb-4391-9f02-fc46c4b49cf2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd></dl></div><div class='xr-var-data'><pre>array([[[-8.3158045, -8.361208 , -8.450635 , ..., -8.450635 ,\n",
+       "         -8.361208 , -8.3158045],\n",
+       "        [-6.8310256, -6.8764286, -6.965856 , ..., -6.965856 ,\n",
+       "         -6.8764286, -6.8310256],\n",
+       "        [-4.040553 , -4.0859566, -4.1753836, ..., -4.1753836,\n",
+       "         -4.0859566, -4.040553 ],\n",
+       "        ...,\n",
+       "        [-4.040553 , -4.0859566, -4.1753836, ..., -4.1753836,\n",
+       "         -4.0859566, -4.040553 ],\n",
+       "        [-6.8310256, -6.8764286, -6.965856 , ..., -6.965856 ,\n",
+       "         -6.8764286, -6.8310256],\n",
+       "        [-8.3158045, -8.361208 , -8.450635 , ..., -8.450635 ,\n",
+       "         -8.361208 , -8.3158045]],\n",
+       "\n",
+       "       [[-7.515805 , -7.5612082, -7.6506352, ..., -7.6506352,\n",
+       "         -7.5612082, -7.515805 ],\n",
+       "        [-6.0310254, -6.076429 , -6.165856 , ..., -6.165856 ,\n",
+       "         -6.076429 , -6.0310254],\n",
+       "        [-3.2405531, -3.2859564, -3.3753834, ..., -3.3753834,\n",
+       "         -3.2859564, -3.2405531],\n",
+       "...\n",
+       "        [-3.2405531, -3.2859564, -3.3753834, ..., -3.3753834,\n",
+       "         -3.2859564, -3.2405531],\n",
+       "        [-6.0310254, -6.076429 , -6.165856 , ..., -6.165856 ,\n",
+       "         -6.076429 , -6.0310254],\n",
+       "        [-7.515805 , -7.5612082, -7.6506352, ..., -7.6506352,\n",
+       "         -7.5612082, -7.515805 ]],\n",
+       "\n",
+       "       [[-8.715805 , -8.761209 , -8.850636 , ..., -8.850636 ,\n",
+       "         -8.761209 , -8.715805 ],\n",
+       "        [-7.2310257, -7.2764287, -7.3658557, ..., -7.3658557,\n",
+       "         -7.2764287, -7.2310257],\n",
+       "        [-4.440553 , -4.485956 , -4.5753837, ..., -4.5753837,\n",
+       "         -4.485956 , -4.440553 ],\n",
+       "        ...,\n",
+       "        [-4.440553 , -4.485956 , -4.5753837, ..., -4.5753837,\n",
+       "         -4.485956 , -4.440553 ],\n",
+       "        [-7.2310257, -7.2764287, -7.3658557, ..., -7.3658557,\n",
+       "         -7.2764287, -7.2310257],\n",
+       "        [-8.715805 , -8.761209 , -8.850636 , ..., -8.850636 ,\n",
+       "         -8.761209 , -8.715805 ]]], shape=(3, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2c7892ec-c842-49b5-b566-eaa3b6ee6607' class='xr-section-summary-in' type='checkbox' /><label for='section-2c7892ec-c842-49b5-b566-eaa3b6ee6607' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>tos_tavg-u-hxy-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-sea</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T20:43:47Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacello</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T20:43:47Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/ba774a60-6959-4f3d-8a0f-334e9c4be8ee</dd><dt><span>variable_id :</span></dt><dd>tos</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 9kB\n",
+       "Dimensions:    (time: 3, bnds: 2, lat: 18, lon: 36)\n",
+       "Coordinates:\n",
+       "  * time       (time) float64 24B 15.0 45.0 75.0\n",
+       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
+       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) float64 48B 0.0 30.0 30.0 60.0 60.0 90.0\n",
+       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
+       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
+       "    tos        (time, lat, lon) float32 8kB -8.316 -8.361 ... -8.761 -8.716\n",
+       "Attributes: (12/40)\n",
+       "    Conventions:           CF-1.12\n",
+       "    activity_id:           CMIP\n",
+       "    area_label:            sea\n",
+       "    branded_variable:      tos_tavg-u-hxy-sea\n",
+       "    branding_suffix:       tavg-u-hxy-sea\n",
+       "    creation_date:         2026-05-29T20:43:47Z\n",
+       "    ...                    ...\n",
+       "    tracking_id:           hdl:21.14107/ba774a60-6959-4f3d-8a0f-334e9c4be8ee\n",
+       "    variable_id:           tos\n",
+       "    variant_label:         r9i1p1f3\n",
+       "    vertical_label:        u\n",
+       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+       "    cmor_version:          3.15.1"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "with xr.open_dataset(netcdf_path, decode_times=False) as opened:\n",
     "    ds = opened.load()\n",
@@ -155,10 +889,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "id": "593dabd1",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "mip_era: CMIP7\n",
+      "activity_id: CMIP\n",
+      "source_id: DUMMY-MODEL\n",
+      "experiment_id: amip\n",
+      "variant_label: r9i1p1f3\n",
+      "branded_variable: tos_tavg-u-hxy-sea\n",
+      "frequency: mon\n",
+      "region: glb\n",
+      "\n",
+      "Variable shape: (3, 18, 36)\n",
+      "Variable attributes: {'standard_name': 'sea_surface_temperature', 'long_name': 'Sea Surface Temperature', 'units': 'degC', 'cell_methods': 'area: mean where sea time: mean', 'cell_measures': 'area: areacello'}\n"
+     ]
+    }
+   ],
    "source": [
     "for name in [\"mip_era\", \"activity_id\", \"source_id\", \"experiment_id\", \"variant_label\", \"branded_variable\", \"frequency\", \"region\"]:\n",
     "    print(f\"{name}: {ds.attrs.get(name)}\")\n",
@@ -168,27 +920,52 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "id": "1a291a66",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x540 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "fig, ax = plt.subplots(figsize=(11, 4.8))\n",
-    "ds[\"tos\"].isel(time=0).plot.pcolormesh(\n",
+    "fig, ax = plt.subplots(figsize=(11, 5.4))\n",
+    "map_plot = Basemap(\n",
+    "    projection=\"cyl\",\n",
+    "    llcrnrlon=0,\n",
+    "    urcrnrlon=360,\n",
+    "    llcrnrlat=-90,\n",
+    "    urcrnrlat=90,\n",
+    "    resolution=\"c\",\n",
     "    ax=ax,\n",
-    "    x=\"lon\",\n",
-    "    y=\"lat\",\n",
-    "    cmap=\"coolwarm\",\n",
-    "    cbar_kwargs={\"label\": \"degC\"},\n",
     ")\n",
+    "map_plot.drawmapboundary(fill_color=\"#f7fbff\", linewidth=0.8)\n",
+    "lon_grid, lat_grid = np.meshgrid(ds[\"lon\"].values, ds[\"lat\"].values)\n",
+    "x, y = map_plot(lon_grid, lat_grid)\n",
+    "mesh = map_plot.pcolormesh(x, y, ds[\"tos\"].isel(time=0).values, shading=\"auto\", cmap=\"coolwarm\")\n",
+    "map_plot.drawcoastlines(linewidth=0.7, color=\"0.15\")\n",
+    "map_plot.drawparallels(np.arange(-90, 91, 30), labels=[1, 0, 0, 0], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
+    "map_plot.drawmeridians(np.arange(0, 361, 60), labels=[0, 0, 0, 1], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
+    "colorbar = map_plot.colorbar(mesh, location=\"right\", pad=\"5%\")\n",
+    "colorbar.set_label(\"degC\")\n",
     "ax.set_title(\"CMIP7 tos, first month\")\n",
-    "ax.set_xlabel(\"Longitude\")\n",
-    "ax.set_ylabel(\"Latitude\")\n",
-    "ax.set_xlim(0, 360)\n",
-    "ax.set_ylim(-90, 90)\n",
-    "ax.grid(True, alpha=0.25)\n",
     "plt.show()\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "23802f0e-ca2d-40dd-97fb-0e79cde52c16",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -207,7 +984,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.14.3"
+   "version": "3.13.7"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/02_atmos_surface_air_temperature.ipynb b/notebooks/02_atmos_surface_air_temperature.ipynb
index e85f8852..a5b33a76 100644
--- a/notebooks/02_atmos_surface_air_temperature.ipynb
+++ b/notebooks/02_atmos_surface_air_temperature.ipynb
@@ -12,10 +12,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "id": "d1d1af98",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Using CMIP7 tables from /Users/mauzey1/Desktop/github/cmor/cmip7-cmor-tables\n"
+     ]
+    }
+   ],
    "source": [
     "from pathlib import Path\n",
     "import json\n",
@@ -23,6 +31,7 @@
     "\n",
     "import cmor\n",
     "import matplotlib.pyplot as plt\n",
+    "from mpl_toolkits.basemap import Basemap\n",
     "import numpy as np\n",
     "import xarray as xr\n",
     "\n",
@@ -46,10 +55,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "284b84c2",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(3, 1, 18, 36)"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "run_dir = REPO_ROOT / \"notebooks\" / \"output\" / \"02_atmos_surface_air_temperature\"\n",
     "if run_dir.exists():\n",
@@ -103,10 +123,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "id": "d2ded412",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "PosixPath('/Users/mauzey1/Desktop/github/cmor/notebooks/output/02_atmos_surface_air_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tas/tavg-h2m-hxy-u/g999/v20260529/tas_tavg-h2m-hxy-u_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201801-201803.nc')"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "cmor.setup(\n",
     "    inpath=str(TABLES_DIR),\n",
@@ -144,10 +175,715 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "id": "5bf2f00d",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
+       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, white)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
+       "body[data-theme=\"dark\"],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "  line-height: 1.6;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "  margin-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-obj-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-group-box-contents > label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "  margin-block-start: 0;\n",
+       "  margin-block-end: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input,\n",
+       ".xr-group-box-contents > input,\n",
+       ".xr-array-wrap > input {\n",
+       "  display: block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input + label,\n",
+       ".xr-var-item > input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label,\n",
+       ".xr-var-item > input:enabled + label,\n",
+       ".xr-array-wrap > input:enabled + label,\n",
+       ".xr-group-box-contents > input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:focus-visible + label,\n",
+       ".xr-var-item > input:focus-visible + label,\n",
+       ".xr-array-wrap > input:focus-visible + label,\n",
+       ".xr-group-box-contents > input:focus-visible + label {\n",
+       "  outline: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label:hover,\n",
+       ".xr-var-item > input:enabled + label:hover,\n",
+       ".xr-array-wrap > input:enabled + label:hover,\n",
+       ".xr-group-box-contents > input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "  white-space: nowrap;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > em {\n",
+       "  font-weight: normal;\n",
+       "}\n",
+       "\n",
+       ".xr-span-grid {\n",
+       "  grid-column-end: -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.6em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details,\n",
+       ".xr-group-box-contents > label {\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-top: 4px;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in ~ .xr-section-details {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-children {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 100%;\n",
+       "  grid-column: 1 / -1;\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 0px 30px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-vline {\n",
+       "  grid-column-start: 1;\n",
+       "  border-right: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "  width: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-hline {\n",
+       "  grid-column-start: 2;\n",
+       "  grid-row-start: 1;\n",
+       "  height: 1em;\n",
+       "  width: 26px;\n",
+       "  border-bottom: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents {\n",
+       "  grid-column-start: 3;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > label::before {\n",
+       "  content: \"📂\";\n",
+       "  padding-right: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label::before {\n",
+       "  content: \"📁\";\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label {\n",
+       "  padding-bottom: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-ellipsis {\n",
+       "  font-size: 1.4em;\n",
+       "  font-weight: 900;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  letter-spacing: 0.15em;\n",
+       "  cursor: default;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 9kB\n",
+       "Dimensions:    (time: 3, bnds: 2, lat: 18, lon: 36)\n",
+       "Coordinates:\n",
+       "  * time       (time) float64 24B 15.0 45.0 75.0\n",
+       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
+       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
+       "    height     float64 8B 2.0\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) float64 48B 0.0 30.0 30.0 60.0 60.0 90.0\n",
+       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
+       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
+       "    tas        (time, lat, lon) float32 8kB 240.3 240.3 240.2 ... 248.3 248.3\n",
+       "Attributes: (12/40)\n",
+       "    Conventions:           CF-1.12\n",
+       "    activity_id:           CMIP\n",
+       "    area_label:            u\n",
+       "    branded_variable:      tas_tavg-h2m-hxy-u\n",
+       "    branding_suffix:       tavg-h2m-hxy-u\n",
+       "    creation_date:         2026-05-29T20:52:00Z\n",
+       "    ...                    ...\n",
+       "    tracking_id:           hdl:21.14107/02675365-e1bd-4ccc-95bd-afebfbd8c0a1\n",
+       "    variable_id:           tas\n",
+       "    variant_label:         r9i1p1f3\n",
+       "    vertical_label:        h2m\n",
+       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e5c7bf6d-992d-46d7-8d93-5445e85582cd' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-e5c7bf6d-992d-46d7-8d93-5445e85582cd' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 3</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div></li><li class='xr-section-item'><input id='section-712502e6-420c-490d-9360-de6f9def6bd7' class='xr-section-summary-in' type='checkbox' checked /><label for='section-712502e6-420c-490d-9360-de6f9def6bd7' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0 75.0</div><input id='attrs-e02b4b85-fe04-4aed-a336-95d991ea7636' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e02b4b85-fe04-4aed-a336-95d991ea7636' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2394859e-1785-4944-b9ce-4b0076c751c3' class='xr-var-data-in' type='checkbox'><label for='data-2394859e-1785-4944-b9ce-4b0076c751c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45., 75.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-5cde5b04-d585-4102-91ac-189a91daa08c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5cde5b04-d585-4102-91ac-189a91daa08c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f52e72e3-7f65-4bc7-91c6-1c87ccddf546' class='xr-var-data-in' type='checkbox'><label for='data-f52e72e3-7f65-4bc7-91c6-1c87ccddf546' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
+       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-48e3eaec-c1c4-4430-9db9-e292758ffa18' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-48e3eaec-c1c4-4430-9db9-e292758ffa18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef39d40a-c730-48dd-94e0-33f7d70a3d20' class='xr-var-data-in' type='checkbox'><label for='data-ef39d40a-c730-48dd-94e0-33f7d70a3d20' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
+       "       125., 135., 145., 155., 165., 175., 185., 195., 205., 215., 225., 235.,\n",
+       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-a6e230f9-8992-4e00-9676-572800a9d9f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6e230f9-8992-4e00-9676-572800a9d9f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-847e3ec6-00f8-4eee-93e0-b8da0f0c84f9' class='xr-var-data-in' type='checkbox'><label for='data-847e3ec6-00f8-4eee-93e0-b8da0f0c84f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6c865581-8bfd-44ef-9913-7ba47253b864' class='xr-section-summary-in' type='checkbox' checked /><label for='section-6c865581-8bfd-44ef-9913-7ba47253b864' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0 60.0 90.0</div><input id='attrs-e4169ae2-0752-4917-ba68-05ad3c89628c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e4169ae2-0752-4917-ba68-05ad3c89628c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1cbca33d-e47b-43de-8b0f-9413f87c811a' class='xr-var-data-in' type='checkbox'><label for='data-1cbca33d-e47b-43de-8b0f-9413f87c811a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
+       "       [30., 60.],\n",
+       "       [60., 90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-c90b485a-a7e7-4fb3-9dfb-9de773c57412' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c90b485a-a7e7-4fb3-9dfb-9de773c57412' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f39548f-0b57-4a35-b70b-b9f9b02ff684' class='xr-var-data-in' type='checkbox'><label for='data-0f39548f-0b57-4a35-b70b-b9f9b02ff684' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
+       "       [-80., -70.],\n",
+       "       [-70., -60.],\n",
+       "       [-60., -50.],\n",
+       "       [-50., -40.],\n",
+       "       [-40., -30.],\n",
+       "       [-30., -20.],\n",
+       "       [-20., -10.],\n",
+       "       [-10.,   0.],\n",
+       "       [  0.,  10.],\n",
+       "       [ 10.,  20.],\n",
+       "       [ 20.,  30.],\n",
+       "       [ 30.,  40.],\n",
+       "       [ 40.,  50.],\n",
+       "       [ 50.,  60.],\n",
+       "       [ 60.,  70.],\n",
+       "       [ 70.,  80.],\n",
+       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-aa65a24a-532c-4104-9f08-87d0f76ae861' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-aa65a24a-532c-4104-9f08-87d0f76ae861' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c22ac6ca-e6f2-4cf5-9303-9d4e327953a9' class='xr-var-data-in' type='checkbox'><label for='data-c22ac6ca-e6f2-4cf5-9303-9d4e327953a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
+       "       [ 10.,  20.],\n",
+       "       [ 20.,  30.],\n",
+       "       [ 30.,  40.],\n",
+       "       [ 40.,  50.],\n",
+       "       [ 50.,  60.],\n",
+       "       [ 60.,  70.],\n",
+       "       [ 70.,  80.],\n",
+       "       [ 80.,  90.],\n",
+       "       [ 90., 100.],\n",
+       "       [100., 110.],\n",
+       "       [110., 120.],\n",
+       "       [120., 130.],\n",
+       "       [130., 140.],\n",
+       "       [140., 150.],\n",
+       "       [150., 160.],\n",
+       "       [160., 170.],\n",
+       "       [170., 180.],\n",
+       "       [180., 190.],\n",
+       "       [190., 200.],\n",
+       "       [200., 210.],\n",
+       "       [210., 220.],\n",
+       "       [220., 230.],\n",
+       "       [230., 240.],\n",
+       "       [240., 250.],\n",
+       "       [250., 260.],\n",
+       "       [260., 270.],\n",
+       "       [270., 280.],\n",
+       "       [280., 290.],\n",
+       "       [290., 300.],\n",
+       "       [300., 310.],\n",
+       "       [310., 320.],\n",
+       "       [320., 330.],\n",
+       "       [330., 340.],\n",
+       "       [340., 350.],\n",
+       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>240.3 240.3 240.2 ... 248.3 248.3</div><input id='attrs-efa7475c-6aff-4070-96f4-e002d3f270ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-efa7475c-6aff-4070-96f4-e002d3f270ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ba687e8-8baf-4b5a-afb2-52c53e9d1915' class='xr-var-data-in' type='checkbox'><label for='data-1ba687e8-8baf-4b5a-afb2-52c53e9d1915' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>history :</span></dt><dd>2026-05-29T20:52:00Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;.</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[240.33421, 240.27368, 240.15443, ..., 240.15443, 240.27368,\n",
+       "         240.33421],\n",
+       "        [243.00682, 242.94627, 242.82704, ..., 242.82704, 242.94627,\n",
+       "         243.00682],\n",
+       "        [248.02966, 247.96913, 247.8499 , ..., 247.8499 , 247.96913,\n",
+       "         248.02966],\n",
+       "        ...,\n",
+       "        [248.02966, 247.96913, 247.8499 , ..., 247.8499 , 247.96913,\n",
+       "         248.02966],\n",
+       "        [243.00682, 242.94627, 242.82704, ..., 242.82704, 242.94627,\n",
+       "         243.00682],\n",
+       "        [240.33421, 240.27368, 240.15443, ..., 240.15443, 240.27368,\n",
+       "         240.33421]],\n",
+       "\n",
+       "       [[244.33421, 244.27368, 244.15443, ..., 244.15443, 244.27368,\n",
+       "         244.33421],\n",
+       "        [247.00682, 246.94627, 246.82704, ..., 246.82704, 246.94627,\n",
+       "         247.00682],\n",
+       "        [252.02966, 251.96913, 251.8499 , ..., 251.8499 , 251.96913,\n",
+       "         252.02966],\n",
+       "...\n",
+       "        [252.02966, 251.96913, 251.8499 , ..., 251.8499 , 251.96913,\n",
+       "         252.02966],\n",
+       "        [247.00682, 246.94627, 246.82704, ..., 246.82704, 246.94627,\n",
+       "         247.00682],\n",
+       "        [244.33421, 244.27368, 244.15443, ..., 244.15443, 244.27368,\n",
+       "         244.33421]],\n",
+       "\n",
+       "       [[248.33421, 248.27368, 248.15443, ..., 248.15443, 248.27368,\n",
+       "         248.33421],\n",
+       "        [251.00682, 250.94627, 250.82704, ..., 250.82704, 250.94627,\n",
+       "         251.00682],\n",
+       "        [256.02966, 255.96913, 255.8499 , ..., 255.8499 , 255.96913,\n",
+       "         256.02966],\n",
+       "        ...,\n",
+       "        [256.02966, 255.96913, 255.8499 , ..., 255.8499 , 255.96913,\n",
+       "         256.02966],\n",
+       "        [251.00682, 250.94627, 250.82704, ..., 250.82704, 250.94627,\n",
+       "         251.00682],\n",
+       "        [248.33421, 248.27368, 248.15443, ..., 248.15443, 248.27368,\n",
+       "         248.33421]]], shape=(3, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c935a076-054b-4afa-8d37-fe6b123348ae' class='xr-section-summary-in' type='checkbox' /><label for='section-c935a076-054b-4afa-8d37-fe6b123348ae' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>tas_tavg-h2m-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-h2m-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T20:52:00Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T20:52:00Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/02675365-e1bd-4ccc-95bd-afebfbd8c0a1</dd><dt><span>variable_id :</span></dt><dd>tas</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>h2m</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 9kB\n",
+       "Dimensions:    (time: 3, bnds: 2, lat: 18, lon: 36)\n",
+       "Coordinates:\n",
+       "  * time       (time) float64 24B 15.0 45.0 75.0\n",
+       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
+       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
+       "    height     float64 8B 2.0\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) float64 48B 0.0 30.0 30.0 60.0 60.0 90.0\n",
+       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
+       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
+       "    tas        (time, lat, lon) float32 8kB 240.3 240.3 240.2 ... 248.3 248.3\n",
+       "Attributes: (12/40)\n",
+       "    Conventions:           CF-1.12\n",
+       "    activity_id:           CMIP\n",
+       "    area_label:            u\n",
+       "    branded_variable:      tas_tavg-h2m-hxy-u\n",
+       "    branding_suffix:       tavg-h2m-hxy-u\n",
+       "    creation_date:         2026-05-29T20:52:00Z\n",
+       "    ...                    ...\n",
+       "    tracking_id:           hdl:21.14107/02675365-e1bd-4ccc-95bd-afebfbd8c0a1\n",
+       "    variable_id:           tas\n",
+       "    variant_label:         r9i1p1f3\n",
+       "    vertical_label:        h2m\n",
+       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+       "    cmor_version:          3.15.1"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "with xr.open_dataset(netcdf_path, decode_times=False) as opened:\n",
     "    ds = opened.load()\n",
@@ -156,10 +892,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "id": "33d4b0c8",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "branded_variable: tas_tavg-h2m-hxy-u\n",
+      "vertical_label: h2m\n",
+      "horizontal_label: hxy\n",
+      "area_label: u\n",
+      "frequency: mon\n",
+      "region: glb\n",
+      "\n",
+      "height coordinate: 2.0 m\n",
+      "Variable attributes: {'standard_name': 'air_temperature', 'long_name': 'Near-Surface Air Temperature', 'units': 'K', 'cell_methods': 'area: time: mean', 'history': \"2026-05-29T20:52:00Z altered by CMOR: Treated scalar dimension: 'height'.\", 'cell_measures': 'area: areacella'}\n"
+     ]
+    }
+   ],
    "source": [
     "for name in [\"branded_variable\", \"vertical_label\", \"horizontal_label\", \"area_label\", \"frequency\", \"region\"]:\n",
     "    print(f\"{name}: {ds.attrs.get(name)}\")\n",
@@ -169,38 +921,71 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "id": "1daca239",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x540 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "fig, ax = plt.subplots(figsize=(11, 4.8))\n",
-    "ds[\"tas\"].isel(time=0).plot.pcolormesh(\n",
+    "fig, ax = plt.subplots(figsize=(11, 5.4))\n",
+    "map_plot = Basemap(\n",
+    "    projection=\"cyl\",\n",
+    "    llcrnrlon=0,\n",
+    "    urcrnrlon=360,\n",
+    "    llcrnrlat=-90,\n",
+    "    urcrnrlat=90,\n",
+    "    resolution=\"c\",\n",
     "    ax=ax,\n",
-    "    x=\"lon\",\n",
-    "    y=\"lat\",\n",
-    "    cmap=\"RdYlBu_r\",\n",
-    "    cbar_kwargs={\"label\": \"K\"},\n",
     ")\n",
+    "map_plot.drawmapboundary(fill_color=\"#f7fbff\", linewidth=0.8)\n",
+    "lon_grid, lat_grid = np.meshgrid(ds[\"lon\"].values, ds[\"lat\"].values)\n",
+    "x, y = map_plot(lon_grid, lat_grid)\n",
+    "mesh = map_plot.pcolormesh(x, y, ds[\"tas\"].isel(time=0).values, shading=\"auto\", cmap=\"RdYlBu_r\")\n",
+    "map_plot.drawcoastlines(linewidth=0.7, color=\"0.15\")\n",
+    "map_plot.drawparallels(np.arange(-90, 91, 30), labels=[1, 0, 0, 0], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
+    "map_plot.drawmeridians(np.arange(0, 361, 60), labels=[0, 0, 0, 1], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
+    "colorbar = map_plot.colorbar(mesh, location=\"right\", pad=\"5%\")\n",
+    "colorbar.set_label(\"K\")\n",
     "ax.set_title(\"CMIP7 tas at 2 m, first month\")\n",
-    "ax.set_xlabel(\"Longitude\")\n",
-    "ax.set_ylabel(\"Latitude\")\n",
-    "ax.set_xlim(0, 360)\n",
-    "ax.set_ylim(-90, 90)\n",
-    "ax.grid(True, alpha=0.25)\n",
     "plt.show()\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ac919003-5972-4729-9e86-61c729e99615",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
   "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
    "name": "python",
-   "pygments_lexer": "ipython3"
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.7"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/03_pressure_level_air_temperature.ipynb b/notebooks/03_pressure_level_air_temperature.ipynb
index 211c9eff..3d0223c0 100644
--- a/notebooks/03_pressure_level_air_temperature.ipynb
+++ b/notebooks/03_pressure_level_air_temperature.ipynb
@@ -12,10 +12,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "id": "4c424c5c",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Using CMIP7 tables from /Users/mauzey1/Desktop/github/cmor/cmip7-cmor-tables\n"
+     ]
+    }
+   ],
    "source": [
     "from pathlib import Path\n",
     "import json\n",
@@ -23,6 +31,7 @@
     "\n",
     "import cmor\n",
     "import matplotlib.pyplot as plt\n",
+    "from mpl_toolkits.basemap import Basemap\n",
     "import numpy as np\n",
     "import xarray as xr\n",
     "\n",
@@ -46,10 +55,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "1324ba6e",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(2, 19, 18, 36)"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "run_dir = REPO_ROOT / \"notebooks\" / \"output\" / \"03_pressure_level_air_temperature\"\n",
     "if run_dir.exists():\n",
@@ -128,10 +148,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "id": "c59fb308",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "PosixPath('/Users/mauzey1/Desktop/github/cmor/notebooks/output/03_pressure_level_air_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/ta/tavg-p19-hxy-air/g999/v20260529/ta_tavg-p19-hxy-air_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201801-201802.nc')"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "cmor.setup(\n",
     "    inpath=str(TABLES_DIR),\n",
@@ -169,10 +200,716 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "id": "09d6a9fe",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
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+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 100kB\n",
+       "Dimensions:    (time: 2, bnds: 2, lat: 18, lon: 36, plev: 19)\n",
+       "Coordinates:\n",
+       "  * time       (time) float64 16B 15.0 45.0\n",
+       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
+       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
+       "  * plev       (plev) float64 152B 1e+05 9.25e+04 8.5e+04 ... 1e+03 500.0 100.0\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) float64 32B 0.0 30.0 30.0 60.0\n",
+       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
+       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
+       "    ta         (time, plev, lat, lon) float32 98kB 251.3 251.2 ... 31.38 31.41\n",
+       "Attributes: (12/40)\n",
+       "    Conventions:           CF-1.12\n",
+       "    activity_id:           CMIP\n",
+       "    area_label:            air\n",
+       "    branded_variable:      ta_tavg-p19-hxy-air\n",
+       "    branding_suffix:       tavg-p19-hxy-air\n",
+       "    creation_date:         2026-05-29T20:52:09Z\n",
+       "    ...                    ...\n",
+       "    tracking_id:           hdl:21.14107/40ab0d49-419b-4b06-9fae-1f36c819c7bd\n",
+       "    variable_id:           ta\n",
+       "    variant_label:         r9i1p1f3\n",
+       "    vertical_label:        p19\n",
+       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f1a8228f-2efe-4a34-b6d3-4db508798e54' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-f1a8228f-2efe-4a34-b6d3-4db508798e54' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li><li><span class='xr-has-index'>plev</span>: 19</li></ul></div></li><li class='xr-section-item'><input id='section-b614cf40-0930-44ed-b6fb-cbfe96032c50' class='xr-section-summary-in' type='checkbox' checked /><label for='section-b614cf40-0930-44ed-b6fb-cbfe96032c50' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0</div><input id='attrs-35656ab2-9ad4-4cb6-ba48-bda66759d3a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-35656ab2-9ad4-4cb6-ba48-bda66759d3a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34b63dbf-3c99-47a8-9499-2c2ecadde412' class='xr-var-data-in' type='checkbox'><label for='data-34b63dbf-3c99-47a8-9499-2c2ecadde412' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-9d97ae34-78c8-422f-8ac6-77e42c0fbb38' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d97ae34-78c8-422f-8ac6-77e42c0fbb38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9c7f719-eca3-4406-8a30-09aeed1fb71e' class='xr-var-data-in' type='checkbox'><label for='data-f9c7f719-eca3-4406-8a30-09aeed1fb71e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
+       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-f9bfd25e-73f6-419c-ab6c-0e6e0b451d65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9bfd25e-73f6-419c-ab6c-0e6e0b451d65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c8a950c-7ad0-46de-9da5-a12de70e49be' class='xr-var-data-in' type='checkbox'><label for='data-6c8a950c-7ad0-46de-9da5-a12de70e49be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
+       "       125., 135., 145., 155., 165., 175., 185., 195., 205., 215., 225., 235.,\n",
+       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>plev</span></div><div class='xr-var-dims'>(plev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05 9.25e+04 ... 500.0 100.0</div><input id='attrs-b328f34d-dc93-4989-b384-403f76ff9d2a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b328f34d-dc93-4989-b384-403f76ff9d2a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18ad0c77-c247-4b8a-a26a-51c83a67fa7f' class='xr-var-data-in' type='checkbox'><label for='data-18ad0c77-c247-4b8a-a26a-51c83a67fa7f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>Pressure Levels (19)</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd></dl></div><div class='xr-var-data'><pre>array([100000.,  92500.,  85000.,  70000.,  60000.,  50000.,  40000.,  30000.,\n",
+       "        25000.,  20000.,  15000.,  10000.,   7000.,   5000.,   3000.,   2000.,\n",
+       "         1000.,    500.,    100.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0bd44bf5-d4f2-407d-9e6e-49232eca90db' class='xr-section-summary-in' type='checkbox' checked /><label for='section-0bd44bf5-d4f2-407d-9e6e-49232eca90db' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0</div><input id='attrs-d20ce4d5-06fc-4e18-b84a-b876d816c39b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d20ce4d5-06fc-4e18-b84a-b876d816c39b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-377c654b-9d9c-4630-8ef1-988fa0d91e57' class='xr-var-data-in' type='checkbox'><label for='data-377c654b-9d9c-4630-8ef1-988fa0d91e57' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
+       "       [30., 60.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-8ad119c2-7014-41b6-aacb-4ebad1cea76f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8ad119c2-7014-41b6-aacb-4ebad1cea76f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5ca9d62-b274-4907-a258-8cb1f6a05ade' class='xr-var-data-in' type='checkbox'><label for='data-e5ca9d62-b274-4907-a258-8cb1f6a05ade' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
+       "       [-80., -70.],\n",
+       "       [-70., -60.],\n",
+       "       [-60., -50.],\n",
+       "       [-50., -40.],\n",
+       "       [-40., -30.],\n",
+       "       [-30., -20.],\n",
+       "       [-20., -10.],\n",
+       "       [-10.,   0.],\n",
+       "       [  0.,  10.],\n",
+       "       [ 10.,  20.],\n",
+       "       [ 20.,  30.],\n",
+       "       [ 30.,  40.],\n",
+       "       [ 40.,  50.],\n",
+       "       [ 50.,  60.],\n",
+       "       [ 60.,  70.],\n",
+       "       [ 70.,  80.],\n",
+       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-4fdb475c-a810-40e1-8939-5288ecd017eb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4fdb475c-a810-40e1-8939-5288ecd017eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d93bd7cc-afaa-44b7-87df-6be78e08fded' class='xr-var-data-in' type='checkbox'><label for='data-d93bd7cc-afaa-44b7-87df-6be78e08fded' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
+       "       [ 10.,  20.],\n",
+       "       [ 20.,  30.],\n",
+       "       [ 30.,  40.],\n",
+       "       [ 40.,  50.],\n",
+       "       [ 50.,  60.],\n",
+       "       [ 60.,  70.],\n",
+       "       [ 70.,  80.],\n",
+       "       [ 80.,  90.],\n",
+       "       [ 90., 100.],\n",
+       "       [100., 110.],\n",
+       "       [110., 120.],\n",
+       "       [120., 130.],\n",
+       "       [130., 140.],\n",
+       "       [140., 150.],\n",
+       "       [150., 160.],\n",
+       "       [160., 170.],\n",
+       "       [170., 180.],\n",
+       "       [180., 190.],\n",
+       "       [190., 200.],\n",
+       "       [200., 210.],\n",
+       "       [210., 220.],\n",
+       "       [220., 230.],\n",
+       "       [230., 240.],\n",
+       "       [240., 250.],\n",
+       "       [250., 260.],\n",
+       "       [260., 270.],\n",
+       "       [270., 280.],\n",
+       "       [280., 290.],\n",
+       "       [290., 300.],\n",
+       "       [300., 310.],\n",
+       "       [310., 320.],\n",
+       "       [320., 330.],\n",
+       "       [330., 340.],\n",
+       "       [340., 350.],\n",
+       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, plev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>251.3 251.2 251.2 ... 31.38 31.41</div><input id='attrs-a39608cd-0325-4833-ad15-c860f309aa08' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a39608cd-0325-4833-ad15-c860f309aa08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7c5d517-3587-42ab-8d72-1e94dc8cc8ae' class='xr-var-data-in' type='checkbox'><label for='data-f7c5d517-3587-42ab-8d72-1e94dc8cc8ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean where air</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[251.26205 , 251.2318  , 251.17216 , ..., 251.17216 ,\n",
+       "          251.2318  , 251.26205 ],\n",
+       "         [253.34074 , 253.31049 , 253.25087 , ..., 253.25087 ,\n",
+       "          253.31049 , 253.34074 ],\n",
+       "         [257.2474  , 257.21713 , 257.15753 , ..., 257.15753 ,\n",
+       "          257.21713 , 257.2474  ],\n",
+       "         ...,\n",
+       "         [257.2474  , 257.21713 , 257.15753 , ..., 257.15753 ,\n",
+       "          257.21713 , 257.2474  ],\n",
+       "         [253.34074 , 253.31049 , 253.25087 , ..., 253.25087 ,\n",
+       "          253.31049 , 253.34074 ],\n",
+       "         [251.26205 , 251.2318  , 251.17216 , ..., 251.17216 ,\n",
+       "          251.2318  , 251.26205 ]],\n",
+       "\n",
+       "        [[248.76729 , 248.73701 , 248.6774  , ..., 248.6774  ,\n",
+       "          248.73701 , 248.76729 ],\n",
+       "         [250.84598 , 250.8157  , 250.75609 , ..., 250.75609 ,\n",
+       "          250.8157  , 250.84598 ],\n",
+       "         [254.75264 , 254.72237 , 254.66275 , ..., 254.66275 ,\n",
+       "          254.72237 , 254.75264 ],\n",
+       "...\n",
+       "         [ 88.90125 ,  88.87099 ,  88.81137 , ...,  88.81137 ,\n",
+       "           88.87099 ,  88.90125 ],\n",
+       "         [ 84.99459 ,  84.964325,  84.90471 , ...,  84.90471 ,\n",
+       "           84.964325,  84.99459 ],\n",
+       "         [ 82.9159  ,  82.885635,  82.82602 , ...,  82.82602 ,\n",
+       "           82.885635,  82.9159  ]],\n",
+       "\n",
+       "        [[ 31.41389 ,  31.383621,  31.324003, ...,  31.324003,\n",
+       "           31.383621,  31.41389 ],\n",
+       "         [ 33.49258 ,  33.46231 ,  33.402695, ...,  33.402695,\n",
+       "           33.46231 ,  33.49258 ],\n",
+       "         [ 37.399242,  37.368973,  37.309357, ...,  37.309357,\n",
+       "           37.368973,  37.399242],\n",
+       "         ...,\n",
+       "         [ 37.399242,  37.368973,  37.309357, ...,  37.309357,\n",
+       "           37.368973,  37.399242],\n",
+       "         [ 33.49258 ,  33.46231 ,  33.402695, ...,  33.402695,\n",
+       "           33.46231 ,  33.49258 ],\n",
+       "         [ 31.41389 ,  31.383621,  31.324003, ...,  31.324003,\n",
+       "           31.383621,  31.41389 ]]]], shape=(2, 19, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-793410e1-cad8-4ea3-9671-368eabaeb821' class='xr-section-summary-in' type='checkbox' /><label for='section-793410e1-cad8-4ea3-9671-368eabaeb821' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>air</dd><dt><span>branded_variable :</span></dt><dd>ta_tavg-p19-hxy-air</dd><dt><span>branding_suffix :</span></dt><dd>tavg-p19-hxy-air</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T20:52:09Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T20:52:09Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/40ab0d49-419b-4b06-9fae-1f36c819c7bd</dd><dt><span>variable_id :</span></dt><dd>ta</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>p19</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 100kB\n",
+       "Dimensions:    (time: 2, bnds: 2, lat: 18, lon: 36, plev: 19)\n",
+       "Coordinates:\n",
+       "  * time       (time) float64 16B 15.0 45.0\n",
+       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
+       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
+       "  * plev       (plev) float64 152B 1e+05 9.25e+04 8.5e+04 ... 1e+03 500.0 100.0\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) float64 32B 0.0 30.0 30.0 60.0\n",
+       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
+       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
+       "    ta         (time, plev, lat, lon) float32 98kB 251.3 251.2 ... 31.38 31.41\n",
+       "Attributes: (12/40)\n",
+       "    Conventions:           CF-1.12\n",
+       "    activity_id:           CMIP\n",
+       "    area_label:            air\n",
+       "    branded_variable:      ta_tavg-p19-hxy-air\n",
+       "    branding_suffix:       tavg-p19-hxy-air\n",
+       "    creation_date:         2026-05-29T20:52:09Z\n",
+       "    ...                    ...\n",
+       "    tracking_id:           hdl:21.14107/40ab0d49-419b-4b06-9fae-1f36c819c7bd\n",
+       "    variable_id:           ta\n",
+       "    variant_label:         r9i1p1f3\n",
+       "    vertical_label:        p19\n",
+       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+       "    cmor_version:          3.15.1"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "with xr.open_dataset(netcdf_path, decode_times=False) as opened:\n",
     "    ds = opened.load()\n",
@@ -181,10 +918,44 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "id": "968c5286",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<xarray.Dataset> Size: 99kB\n",
+      "Dimensions:  (time: 2, plev: 19, lat: 18, lon: 36)\n",
+      "Coordinates:\n",
+      "  * time     (time) float64 16B 15.0 45.0\n",
+      "  * plev     (plev) float64 152B 1e+05 9.25e+04 8.5e+04 ... 1e+03 500.0 100.0\n",
+      "  * lat      (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 55.0 65.0 75.0 85.0\n",
+      "  * lon      (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
+      "Data variables:\n",
+      "    ta       (time, plev, lat, lon) float32 98kB 251.3 251.2 ... 31.38 31.41\n",
+      "Attributes: (12/40)\n",
+      "    Conventions:           CF-1.12\n",
+      "    activity_id:           CMIP\n",
+      "    area_label:            air\n",
+      "    branded_variable:      ta_tavg-p19-hxy-air\n",
+      "    branding_suffix:       tavg-p19-hxy-air\n",
+      "    creation_date:         2026-05-29T20:52:09Z\n",
+      "    ...                    ...\n",
+      "    tracking_id:           hdl:21.14107/40ab0d49-419b-4b06-9fae-1f36c819c7bd\n",
+      "    variable_id:           ta\n",
+      "    variant_label:         r9i1p1f3\n",
+      "    vertical_label:        p19\n",
+      "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+      "    cmor_version:          3.15.1\n",
+      "pressure levels: [100000.  92500.  85000.  70000.  60000.  50000.  40000.  30000.  25000.\n",
+      "  20000.  15000.  10000.   7000.   5000.   3000.   2000.   1000.    500.\n",
+      "    100.]\n",
+      "plev units: Pa\n"
+     ]
+    }
+   ],
    "source": [
     "print(ds[[\"ta\"]])\n",
     "print(\"pressure levels:\", ds[\"plev\"].values)\n",
@@ -193,27 +964,52 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "id": "917090d2",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x540 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "fig, ax = plt.subplots(figsize=(11, 4.8))\n",
-    "ds[\"ta\"].sel(plev=50000.0).isel(time=0).plot.pcolormesh(\n",
+    "fig, ax = plt.subplots(figsize=(11, 5.4))\n",
+    "map_plot = Basemap(\n",
+    "    projection=\"cyl\",\n",
+    "    llcrnrlon=0,\n",
+    "    urcrnrlon=360,\n",
+    "    llcrnrlat=-90,\n",
+    "    urcrnrlat=90,\n",
+    "    resolution=\"c\",\n",
     "    ax=ax,\n",
-    "    x=\"lon\",\n",
-    "    y=\"lat\",\n",
-    "    cmap=\"RdYlBu_r\",\n",
-    "    cbar_kwargs={\"label\": \"K\"},\n",
     ")\n",
+    "map_plot.drawmapboundary(fill_color=\"#f7fbff\", linewidth=0.8)\n",
+    "lon_grid, lat_grid = np.meshgrid(ds[\"lon\"].values, ds[\"lat\"].values)\n",
+    "x, y = map_plot(lon_grid, lat_grid)\n",
+    "mesh = map_plot.pcolormesh(x, y, ds[\"ta\"].sel(plev=50000.0).isel(time=0).values, shading=\"auto\", cmap=\"RdYlBu_r\")\n",
+    "map_plot.drawcoastlines(linewidth=0.7, color=\"0.15\")\n",
+    "map_plot.drawparallels(np.arange(-90, 91, 30), labels=[1, 0, 0, 0], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
+    "map_plot.drawmeridians(np.arange(0, 361, 60), labels=[0, 0, 0, 1], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
+    "colorbar = map_plot.colorbar(mesh, location=\"right\", pad=\"5%\")\n",
+    "colorbar.set_label(\"K\")\n",
     "ax.set_title(\"CMIP7 ta at 500 hPa, first month\")\n",
-    "ax.set_xlabel(\"Longitude\")\n",
-    "ax.set_ylabel(\"Latitude\")\n",
-    "ax.set_xlim(0, 360)\n",
-    "ax.set_ylim(-90, 90)\n",
-    "ax.grid(True, alpha=0.25)\n",
     "plt.show()\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ab40816f-9a4f-47a7-b531-72dcec267619",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -232,7 +1028,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.14.3"
+   "version": "3.13.7"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/04_hybrid_sigma_zfactors.ipynb b/notebooks/04_hybrid_sigma_zfactors.ipynb
index 28dac087..400c6f35 100644
--- a/notebooks/04_hybrid_sigma_zfactors.ipynb
+++ b/notebooks/04_hybrid_sigma_zfactors.ipynb
@@ -12,10 +12,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "id": "e502e550",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Using CMIP7 tables from /Users/mauzey1/Desktop/github/cmor/cmip7-cmor-tables\n"
+     ]
+    }
+   ],
    "source": [
     "from pathlib import Path\n",
     "import json\n",
@@ -23,6 +31,7 @@
     "\n",
     "import cmor\n",
     "import matplotlib.pyplot as plt\n",
+    "from mpl_toolkits.basemap import Basemap\n",
     "import numpy as np\n",
     "import xarray as xr\n",
     "\n",
@@ -46,10 +55,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "795d90b2",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "((2, 5, 18, 36), (2, 18, 36))"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "run_dir = REPO_ROOT / \"notebooks\" / \"output\" / \"04_hybrid_sigma_zfactors\"\n",
     "if run_dir.exists():\n",
@@ -119,10 +139,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "id": "08d92b3e",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "PosixPath('/Users/mauzey1/Desktop/github/cmor/notebooks/output/04_hybrid_sigma_zfactors/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/ta/tavg-al-hxy-u/g999/v20260529/ta_tavg-al-hxy-u_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201801-201802.nc')"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "cmor.setup(\n",
     "    inpath=str(TABLES_DIR),\n",
@@ -166,10 +197,766 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "id": "85b00c73",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
+       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, white)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
+       "body[data-theme=\"dark\"],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "  line-height: 1.6;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "  margin-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-obj-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-group-box-contents > label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "  margin-block-start: 0;\n",
+       "  margin-block-end: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input,\n",
+       ".xr-group-box-contents > input,\n",
+       ".xr-array-wrap > input {\n",
+       "  display: block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input + label,\n",
+       ".xr-var-item > input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label,\n",
+       ".xr-var-item > input:enabled + label,\n",
+       ".xr-array-wrap > input:enabled + label,\n",
+       ".xr-group-box-contents > input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:focus-visible + label,\n",
+       ".xr-var-item > input:focus-visible + label,\n",
+       ".xr-array-wrap > input:focus-visible + label,\n",
+       ".xr-group-box-contents > input:focus-visible + label {\n",
+       "  outline: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label:hover,\n",
+       ".xr-var-item > input:enabled + label:hover,\n",
+       ".xr-array-wrap > input:enabled + label:hover,\n",
+       ".xr-group-box-contents > input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "  white-space: nowrap;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > em {\n",
+       "  font-weight: normal;\n",
+       "}\n",
+       "\n",
+       ".xr-span-grid {\n",
+       "  grid-column-end: -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.6em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details,\n",
+       ".xr-group-box-contents > label {\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-top: 4px;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in ~ .xr-section-details {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-children {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 100%;\n",
+       "  grid-column: 1 / -1;\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 0px 30px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-vline {\n",
+       "  grid-column-start: 1;\n",
+       "  border-right: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "  width: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-hline {\n",
+       "  grid-column-start: 2;\n",
+       "  grid-row-start: 1;\n",
+       "  height: 1em;\n",
+       "  width: 26px;\n",
+       "  border-bottom: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents {\n",
+       "  grid-column-start: 3;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > label::before {\n",
+       "  content: \"📂\";\n",
+       "  padding-right: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label::before {\n",
+       "  content: \"📁\";\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label {\n",
+       "  padding-bottom: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-ellipsis {\n",
+       "  font-size: 1.4em;\n",
+       "  font-weight: 900;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  letter-spacing: 0.15em;\n",
+       "  cursor: default;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 33kB\n",
+       "Dimensions:    (time: 2, bnds: 2, lev: 5, lat: 18, lon: 36)\n",
+       "Coordinates:\n",
+       "  * time       (time) float64 16B 15.0 45.0\n",
+       "  * lev        (lev) float64 40B 0.95 0.75 0.5 0.25 0.05\n",
+       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
+       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) float64 32B 0.0 30.0 30.0 60.0\n",
+       "    lev_bnds   (lev, bnds) float64 80B 1.0 0.85 0.85 0.625 ... 0.125 0.125 0.0\n",
+       "    p0         float64 8B 1e+05\n",
+       "    a          (lev) float64 40B 0.02 0.05 0.1 0.2 0.35\n",
+       "    b          (lev) float64 40B 0.9 0.7 0.45 0.2 0.03\n",
+       "    ps         (time, lat, lon) float32 5kB 8.639e+04 8.638e+04 ... 8.654e+04\n",
+       "    a_bnds     (lev, bnds) float64 80B 0.0 0.035 0.035 ... 0.275 0.275 0.45\n",
+       "    b_bnds     (lev, bnds) float64 80B 1.0 0.8 0.8 0.575 ... 0.115 0.115 0.0\n",
+       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
+       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
+       "    ta         (time, lev, lat, lon) float32 26kB 258.5 258.4 ... 209.9 210.0\n",
+       "Attributes: (12/40)\n",
+       "    Conventions:           CF-1.12\n",
+       "    activity_id:           CMIP\n",
+       "    area_label:            u\n",
+       "    branded_variable:      ta_tavg-al-hxy-u\n",
+       "    branding_suffix:       tavg-al-hxy-u\n",
+       "    creation_date:         2026-05-29T20:52:17Z\n",
+       "    ...                    ...\n",
+       "    variable_id:           ta\n",
+       "    variant_label:         r9i1p1f3\n",
+       "    vertical_label:        al\n",
+       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+       "    cmor_version:          3.15.1\n",
+       "    tracking_id:           hdl:21.14107/be4ef9b3-f12a-4da0-a12e-96d765fd5754</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-663dfe3a-d25a-4004-a077-e477c847d51b' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-663dfe3a-d25a-4004-a077-e477c847d51b' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lev</span>: 5</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div></li><li class='xr-section-item'><input id='section-b9573394-0b84-4224-bc9f-ee36a29e661b' class='xr-section-summary-in' type='checkbox' checked /><label for='section-b9573394-0b84-4224-bc9f-ee36a29e661b' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0</div><input id='attrs-2b7e0f44-ae29-4948-bf6f-77637c2cf4a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b7e0f44-ae29-4948-bf6f-77637c2cf4a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c910f3bf-1c06-4ad8-b532-581820fc151c' class='xr-var-data-in' type='checkbox'><label for='data-c910f3bf-1c06-4ad8-b532-581820fc151c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.95 0.75 0.5 0.25 0.05</div><input id='attrs-8b3333fd-b98b-4ce0-9f5a-654f1a6d340f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b3333fd-b98b-4ce0-9f5a-654f1a6d340f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a5e6f95-c976-4eb8-90aa-c9c49d02cdb6' class='xr-var-data-in' type='checkbox'><label for='data-9a5e6f95-c976-4eb8-90aa-c9c49d02cdb6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lev_bnds</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>hybrid sigma pressure coordinate</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a b: b ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([0.95, 0.75, 0.5 , 0.25, 0.05])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-8a3c1025-75ca-4dca-8d69-1e504735fbf4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a3c1025-75ca-4dca-8d69-1e504735fbf4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04d02a8a-599e-4731-9888-c880421532c2' class='xr-var-data-in' type='checkbox'><label for='data-04d02a8a-599e-4731-9888-c880421532c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
+       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-a376d55a-c423-429e-aa97-23007bf3fb7a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a376d55a-c423-429e-aa97-23007bf3fb7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3981f15-3b83-4916-a903-984fd39cb2e4' class='xr-var-data-in' type='checkbox'><label for='data-a3981f15-3b83-4916-a903-984fd39cb2e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
+       "       125., 135., 145., 155., 165., 175., 185., 195., 205., 215., 225., 235.,\n",
+       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e6775baf-7458-4ab7-b7b0-8634130ccf4b' class='xr-section-summary-in' type='checkbox' checked /><label for='section-e6775baf-7458-4ab7-b7b0-8634130ccf4b' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0</div><input id='attrs-649856cb-5585-4632-ab3f-a083b95bedc6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-649856cb-5585-4632-ab3f-a083b95bedc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6280adcc-efe6-45d2-8182-161477850320' class='xr-var-data-in' type='checkbox'><label for='data-6280adcc-efe6-45d2-8182-161477850320' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
+       "       [30., 60.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lev_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.85 0.85 ... 0.125 0.125 0.0</div><input id='attrs-bc36dca4-ad0e-4fb7-b2f5-ba5ccf2843f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc36dca4-ad0e-4fb7-b2f5-ba5ccf2843f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9137154-38d9-4844-ba94-27bd06e688aa' class='xr-var-data-in' type='checkbox'><label for='data-b9137154-38d9-4844-ba94-27bd06e688aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a_bnds b: b_bnds ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([[1.   , 0.85 ],\n",
+       "       [0.85 , 0.625],\n",
+       "       [0.625, 0.375],\n",
+       "       [0.375, 0.125],\n",
+       "       [0.125, 0.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p0</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05</div><input id='attrs-1c6cc620-37e7-45b2-b975-463da95a00cf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c6cc620-37e7-45b2-b975-463da95a00cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0317b872-a3f2-4552-9b9e-6219e0d22513' class='xr-var-data-in' type='checkbox'><label for='data-0317b872-a3f2-4552-9b9e-6219e0d22513' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>reference_air_pressure_for_atmosphere_vertical_coordinate</dd><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: reference pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array(100000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.02 0.05 0.1 0.2 0.35</div><input id='attrs-88053dc6-ee74-482b-a6ca-5d39e4e6b8c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88053dc6-ee74-482b-a6ca-5d39e4e6b8c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa3a33b4-aede-4511-8246-13686f5d6184' class='xr-var-data-in' type='checkbox'><label for='data-fa3a33b4-aede-4511-8246-13686f5d6184' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a</dd></dl></div><div class='xr-var-data'><pre>array([0.02, 0.05, 0.1 , 0.2 , 0.35])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9 0.7 0.45 0.2 0.03</div><input id='attrs-34b9d83d-345e-4a7f-bc5d-1d2956fcdf0c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34b9d83d-345e-4a7f-bc5d-1d2956fcdf0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a4c236a-6af6-4697-b459-93ad434cc357' class='xr-var-data-in' type='checkbox'><label for='data-1a4c236a-6af6-4697-b459-93ad434cc357' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b</dd></dl></div><div class='xr-var-data'><pre>array([0.9 , 0.7 , 0.45, 0.2 , 0.03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ps</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>8.639e+04 8.638e+04 ... 8.654e+04</div><input id='attrs-b8af1688-bb79-46f9-b769-eac1b70e80bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b8af1688-bb79-46f9-b769-eac1b70e80bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed171df2-54d5-4928-877e-3c22ba7ac217' class='xr-var-data-in' type='checkbox'><label for='data-ed171df2-54d5-4928-877e-3c22ba7ac217' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>long_name :</span></dt><dd>Surface Air Pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array([[[86390.016, 86380.93 , 86363.05 , ..., 86363.05 , 86380.93 ,\n",
+       "         86390.016],\n",
+       "        [87102.7  , 87093.625, 87075.74 , ..., 87075.74 , 87093.625,\n",
+       "         87102.7  ],\n",
+       "        [88442.13 , 88433.055, 88415.164, ..., 88415.164, 88433.055,\n",
+       "         88442.13 ],\n",
+       "        ...,\n",
+       "        [88442.13 , 88433.055, 88415.164, ..., 88415.164, 88433.055,\n",
+       "         88442.13 ],\n",
+       "        [87102.7  , 87093.625, 87075.74 , ..., 87075.74 , 87093.625,\n",
+       "         87102.7  ],\n",
+       "        [86390.016, 86380.93 , 86363.05 , ..., 86363.05 , 86380.93 ,\n",
+       "         86390.016]],\n",
+       "\n",
+       "       [[86540.016, 86530.93 , 86513.05 , ..., 86513.05 , 86530.93 ,\n",
+       "         86540.016],\n",
+       "        [87252.7  , 87243.625, 87225.74 , ..., 87225.74 , 87243.625,\n",
+       "         87252.7  ],\n",
+       "        [88592.13 , 88583.055, 88565.164, ..., 88565.164, 88583.055,\n",
+       "         88592.13 ],\n",
+       "        ...,\n",
+       "        [88592.13 , 88583.055, 88565.164, ..., 88565.164, 88583.055,\n",
+       "         88592.13 ],\n",
+       "        [87252.7  , 87243.625, 87225.74 , ..., 87225.74 , 87243.625,\n",
+       "         87252.7  ],\n",
+       "        [86540.016, 86530.93 , 86513.05 , ..., 86513.05 , 86530.93 ,\n",
+       "         86540.016]]], shape=(2, 18, 36), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.035 0.035 ... 0.275 0.45</div><input id='attrs-5d0e7a26-11cf-475b-be49-a1bae3ccb3e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d0e7a26-11cf-475b-be49-a1bae3ccb3e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b402910-ac0f-4a9f-aa17-73a0c8002d19' class='xr-var-data-in' type='checkbox'><label for='data-0b402910-ac0f-4a9f-aa17-73a0c8002d19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[0.   , 0.035],\n",
+       "       [0.035, 0.075],\n",
+       "       [0.075, 0.15 ],\n",
+       "       [0.15 , 0.275],\n",
+       "       [0.275, 0.45 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.8 0.8 ... 0.115 0.115 0.0</div><input id='attrs-9182ddd2-8839-4594-8630-76b998ec9874' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9182ddd2-8839-4594-8630-76b998ec9874' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df60dada-52f8-4887-a06b-cd5f939fae03' class='xr-var-data-in' type='checkbox'><label for='data-df60dada-52f8-4887-a06b-cd5f939fae03' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[1.   , 0.8  ],\n",
+       "       [0.8  , 0.575],\n",
+       "       [0.575, 0.325],\n",
+       "       [0.325, 0.115],\n",
+       "       [0.115, 0.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-63480391-0082-4772-a688-51c0bc8ab33b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-63480391-0082-4772-a688-51c0bc8ab33b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f145e5b-1262-467c-adb0-ae7551091f31' class='xr-var-data-in' type='checkbox'><label for='data-3f145e5b-1262-467c-adb0-ae7551091f31' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
+       "       [-80., -70.],\n",
+       "       [-70., -60.],\n",
+       "       [-60., -50.],\n",
+       "       [-50., -40.],\n",
+       "       [-40., -30.],\n",
+       "       [-30., -20.],\n",
+       "       [-20., -10.],\n",
+       "       [-10.,   0.],\n",
+       "       [  0.,  10.],\n",
+       "       [ 10.,  20.],\n",
+       "       [ 20.,  30.],\n",
+       "       [ 30.,  40.],\n",
+       "       [ 40.,  50.],\n",
+       "       [ 50.,  60.],\n",
+       "       [ 60.,  70.],\n",
+       "       [ 70.,  80.],\n",
+       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-aaf410c5-eacb-4b15-8be1-18c7ce8ccad8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-aaf410c5-eacb-4b15-8be1-18c7ce8ccad8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee8d45e5-9bb7-4560-9bd4-be5f67473e4f' class='xr-var-data-in' type='checkbox'><label for='data-ee8d45e5-9bb7-4560-9bd4-be5f67473e4f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
+       "       [ 10.,  20.],\n",
+       "       [ 20.,  30.],\n",
+       "       [ 30.,  40.],\n",
+       "       [ 40.,  50.],\n",
+       "       [ 50.,  60.],\n",
+       "       [ 60.,  70.],\n",
+       "       [ 70.,  80.],\n",
+       "       [ 80.,  90.],\n",
+       "       [ 90., 100.],\n",
+       "       [100., 110.],\n",
+       "       [110., 120.],\n",
+       "       [120., 130.],\n",
+       "       [130., 140.],\n",
+       "       [140., 150.],\n",
+       "       [150., 160.],\n",
+       "       [160., 170.],\n",
+       "       [170., 180.],\n",
+       "       [180., 190.],\n",
+       "       [190., 200.],\n",
+       "       [200., 210.],\n",
+       "       [210., 220.],\n",
+       "       [220., 230.],\n",
+       "       [230., 240.],\n",
+       "       [240., 250.],\n",
+       "       [250., 260.],\n",
+       "       [260., 270.],\n",
+       "       [270., 280.],\n",
+       "       [280., 290.],\n",
+       "       [290., 300.],\n",
+       "       [300., 310.],\n",
+       "       [310., 320.],\n",
+       "       [320., 330.],\n",
+       "       [330., 340.],\n",
+       "       [340., 350.],\n",
+       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>258.5 258.4 258.4 ... 209.9 210.0</div><input id='attrs-d7741de6-5119-485e-914f-e7a8b1deaa68' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7741de6-5119-485e-914f-e7a8b1deaa68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3dc81071-4884-4d1d-8c7d-3fc53e6b7354' class='xr-var-data-in' type='checkbox'><label for='data-3dc81071-4884-4d1d-8c7d-3fc53e6b7354' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[258.4741 , 258.44382, 258.3842 , ..., 258.3842 , 258.44382,\n",
+       "          258.4741 ],\n",
+       "         [260.25583, 260.22556, 260.16592, ..., 260.16592, 260.22556,\n",
+       "          260.25583],\n",
+       "         [263.60437, 263.5741 , 263.5145 , ..., 263.5145 , 263.5741 ,\n",
+       "          263.60437],\n",
+       "         ...,\n",
+       "         [263.60437, 263.5741 , 263.5145 , ..., 263.5145 , 263.5741 ,\n",
+       "          263.60437],\n",
+       "         [260.25583, 260.22556, 260.16592, ..., 260.16592, 260.22556,\n",
+       "          260.25583],\n",
+       "         [258.4741 , 258.44382, 258.3842 , ..., 258.3842 , 258.44382,\n",
+       "          258.4741 ]],\n",
+       "\n",
+       "        [[247.47408, 247.44382, 247.38419, ..., 247.38419, 247.44382,\n",
+       "          247.47408],\n",
+       "         [249.25581, 249.22554, 249.16592, ..., 249.16592, 249.22554,\n",
+       "          249.25581],\n",
+       "         [252.60439, 252.57411, 252.5145 , ..., 252.5145 , 252.57411,\n",
+       "          252.60439],\n",
+       "...\n",
+       "         [226.10439, 226.07411, 226.0145 , ..., 226.0145 , 226.07411,\n",
+       "          226.10439],\n",
+       "         [222.75581, 222.72554, 222.66592, ..., 222.66592, 222.72554,\n",
+       "          222.75581],\n",
+       "         [220.97408, 220.94382, 220.88419, ..., 220.88419, 220.94382,\n",
+       "          220.97408]],\n",
+       "\n",
+       "        [[209.97408, 209.94382, 209.88419, ..., 209.88419, 209.94382,\n",
+       "          209.97408],\n",
+       "         [211.75581, 211.72554, 211.66592, ..., 211.66592, 211.72554,\n",
+       "          211.75581],\n",
+       "         [215.10439, 215.07411, 215.0145 , ..., 215.0145 , 215.07411,\n",
+       "          215.10439],\n",
+       "         ...,\n",
+       "         [215.10439, 215.07411, 215.0145 , ..., 215.0145 , 215.07411,\n",
+       "          215.10439],\n",
+       "         [211.75581, 211.72554, 211.66592, ..., 211.66592, 211.72554,\n",
+       "          211.75581],\n",
+       "         [209.97408, 209.94382, 209.88419, ..., 209.88419, 209.94382,\n",
+       "          209.97408]]]], shape=(2, 5, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d7ea34cb-4efd-4bd8-b728-891637b9ec04' class='xr-section-summary-in' type='checkbox' /><label for='section-d7ea34cb-4efd-4bd8-b728-891637b9ec04' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>ta_tavg-al-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-al-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T20:52:17Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T20:52:17Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>variable_id :</span></dt><dd>ta</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>al</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/be4ef9b3-f12a-4da0-a12e-96d765fd5754</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 33kB\n",
+       "Dimensions:    (time: 2, bnds: 2, lev: 5, lat: 18, lon: 36)\n",
+       "Coordinates:\n",
+       "  * time       (time) float64 16B 15.0 45.0\n",
+       "  * lev        (lev) float64 40B 0.95 0.75 0.5 0.25 0.05\n",
+       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
+       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) float64 32B 0.0 30.0 30.0 60.0\n",
+       "    lev_bnds   (lev, bnds) float64 80B 1.0 0.85 0.85 0.625 ... 0.125 0.125 0.0\n",
+       "    p0         float64 8B 1e+05\n",
+       "    a          (lev) float64 40B 0.02 0.05 0.1 0.2 0.35\n",
+       "    b          (lev) float64 40B 0.9 0.7 0.45 0.2 0.03\n",
+       "    ps         (time, lat, lon) float32 5kB 8.639e+04 8.638e+04 ... 8.654e+04\n",
+       "    a_bnds     (lev, bnds) float64 80B 0.0 0.035 0.035 ... 0.275 0.275 0.45\n",
+       "    b_bnds     (lev, bnds) float64 80B 1.0 0.8 0.8 0.575 ... 0.115 0.115 0.0\n",
+       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
+       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
+       "    ta         (time, lev, lat, lon) float32 26kB 258.5 258.4 ... 209.9 210.0\n",
+       "Attributes: (12/40)\n",
+       "    Conventions:           CF-1.12\n",
+       "    activity_id:           CMIP\n",
+       "    area_label:            u\n",
+       "    branded_variable:      ta_tavg-al-hxy-u\n",
+       "    branding_suffix:       tavg-al-hxy-u\n",
+       "    creation_date:         2026-05-29T20:52:17Z\n",
+       "    ...                    ...\n",
+       "    variable_id:           ta\n",
+       "    variant_label:         r9i1p1f3\n",
+       "    vertical_label:        al\n",
+       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+       "    cmor_version:          3.15.1\n",
+       "    tracking_id:           hdl:21.14107/be4ef9b3-f12a-4da0-a12e-96d765fd5754"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "with xr.open_dataset(netcdf_path, decode_times=False) as opened:\n",
     "    ds = opened.load()\n",
@@ -178,10 +965,46 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "id": "778254c2",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<xarray.Dataset> Size: 32kB\n",
+      "Dimensions:  (time: 2, lev: 5, lat: 18, lon: 36)\n",
+      "Coordinates:\n",
+      "  * time     (time) float64 16B 15.0 45.0\n",
+      "  * lev      (lev) float64 40B 0.95 0.75 0.5 0.25 0.05\n",
+      "  * lat      (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 55.0 65.0 75.0 85.0\n",
+      "  * lon      (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
+      "Data variables:\n",
+      "    ta       (time, lev, lat, lon) float32 26kB 258.5 258.4 ... 209.9 210.0\n",
+      "    ps       (time, lat, lon) float32 5kB 8.639e+04 8.638e+04 ... 8.654e+04\n",
+      "    a        (lev) float64 40B 0.02 0.05 0.1 0.2 0.35\n",
+      "    b        (lev) float64 40B 0.9 0.7 0.45 0.2 0.03\n",
+      "    p0       float64 8B 1e+05\n",
+      "Attributes: (12/40)\n",
+      "    Conventions:           CF-1.12\n",
+      "    activity_id:           CMIP\n",
+      "    area_label:            u\n",
+      "    branded_variable:      ta_tavg-al-hxy-u\n",
+      "    branding_suffix:       tavg-al-hxy-u\n",
+      "    creation_date:         2026-05-29T20:52:17Z\n",
+      "    ...                    ...\n",
+      "    variable_id:           ta\n",
+      "    variant_label:         r9i1p1f3\n",
+      "    vertical_label:        al\n",
+      "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+      "    cmor_version:          3.15.1\n",
+      "    tracking_id:           hdl:21.14107/be4ef9b3-f12a-4da0-a12e-96d765fd5754\n",
+      "lev formula_terms: p0: p0 a: a b: b ps: ps\n",
+      "lev formula: p = a*p0 + b*ps\n"
+     ]
+    }
+   ],
    "source": [
     "print(ds[[\"ta\", \"ps\", \"a\", \"b\", \"p0\"]])\n",
     "print(\"lev formula_terms:\", ds[\"lev\"].attrs.get(\"formula_terms\"))\n",
@@ -190,27 +1013,52 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "id": "07c200fc",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x540 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "fig, ax = plt.subplots(figsize=(11, 4.8))\n",
-    "ds[\"ta\"].isel(time=0, lev=2).plot.pcolormesh(\n",
+    "fig, ax = plt.subplots(figsize=(11, 5.4))\n",
+    "map_plot = Basemap(\n",
+    "    projection=\"cyl\",\n",
+    "    llcrnrlon=0,\n",
+    "    urcrnrlon=360,\n",
+    "    llcrnrlat=-90,\n",
+    "    urcrnrlat=90,\n",
+    "    resolution=\"c\",\n",
     "    ax=ax,\n",
-    "    x=\"lon\",\n",
-    "    y=\"lat\",\n",
-    "    cmap=\"RdYlBu_r\",\n",
-    "    cbar_kwargs={\"label\": \"K\"},\n",
     ")\n",
+    "map_plot.drawmapboundary(fill_color=\"#f7fbff\", linewidth=0.8)\n",
+    "lon_grid, lat_grid = np.meshgrid(ds[\"lon\"].values, ds[\"lat\"].values)\n",
+    "x, y = map_plot(lon_grid, lat_grid)\n",
+    "mesh = map_plot.pcolormesh(x, y, ds[\"ta\"].isel(time=0, lev=2).values, shading=\"auto\", cmap=\"RdYlBu_r\")\n",
+    "map_plot.drawcoastlines(linewidth=0.7, color=\"0.15\")\n",
+    "map_plot.drawparallels(np.arange(-90, 91, 30), labels=[1, 0, 0, 0], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
+    "map_plot.drawmeridians(np.arange(0, 361, 60), labels=[0, 0, 0, 1], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
+    "colorbar = map_plot.colorbar(mesh, location=\"right\", pad=\"5%\")\n",
+    "colorbar.set_label(\"K\")\n",
     "ax.set_title(\"CMIP7 ta on hybrid level 3, first month\")\n",
-    "ax.set_xlabel(\"Longitude\")\n",
-    "ax.set_ylabel(\"Latitude\")\n",
-    "ax.set_xlim(0, 360)\n",
-    "ax.set_ylim(-90, 90)\n",
-    "ax.grid(True, alpha=0.25)\n",
     "plt.show()\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "89b8c137-8417-4d4e-ac65-8495f5cf6117",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -229,7 +1077,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.14.3"
+   "version": "3.13.7"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/05_curvilinear_ocean_grid.ipynb b/notebooks/05_curvilinear_ocean_grid.ipynb
index e53c9a2b..6123d368 100644
--- a/notebooks/05_curvilinear_ocean_grid.ipynb
+++ b/notebooks/05_curvilinear_ocean_grid.ipynb
@@ -12,10 +12,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "id": "b1ff03ee",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Using CMIP7 tables from /Users/mauzey1/Desktop/github/cmor/cmip7-cmor-tables\n"
+     ]
+    }
+   ],
    "source": [
     "from pathlib import Path\n",
     "import json\n",
@@ -23,6 +31,7 @@
     "\n",
     "import cmor\n",
     "import matplotlib.pyplot as plt\n",
+    "from mpl_toolkits.basemap import Basemap\n",
     "import numpy as np\n",
     "import xarray as xr\n",
     "\n",
@@ -46,10 +55,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "88d6766e",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(2, 18, 36)"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "run_dir = REPO_ROOT / \"notebooks\" / \"output\" / \"05_curvilinear_ocean_grid\"\n",
     "if run_dir.exists():\n",
@@ -131,10 +151,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "id": "ab381eda",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "PosixPath('/Users/mauzey1/Desktop/github/cmor/notebooks/output/05_curvilinear_ocean_grid/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tos/tavg-u-hxy-sea/g999/v20260529/tos_tavg-u-hxy-sea_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201801-201802.nc')"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "cmor.setup(\n",
     "    inpath=str(TABLES_DIR),\n",
@@ -183,10 +214,810 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "id": "98246667",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
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+       ".xr-var-item > input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label,\n",
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+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 58kB\n",
+       "Dimensions:             (time: 2, bnds: 2, y: 18, x: 36, vertices: 4)\n",
+       "Coordinates:\n",
+       "  * time                (time) float64 16B 15.0 45.0\n",
+       "  * y                   (y) float64 144B 0.0 1.0 2.0 3.0 ... 14.0 15.0 16.0 17.0\n",
+       "  * x                   (x) float64 288B 0.0 1.0 2.0 3.0 ... 32.0 33.0 34.0 35.0\n",
+       "    latitude            (y, x) float64 5kB -84.99 -84.97 -84.94 ... 84.97 84.99\n",
+       "    longitude           (y, x) float64 5kB 3.506 13.51 23.51 ... 346.5 356.5\n",
+       "Dimensions without coordinates: bnds, vertices\n",
+       "Data variables:\n",
+       "    time_bnds           (time, bnds) float64 32B 0.0 30.0 30.0 60.0\n",
+       "    vertices_latitude   (y, x, vertices) float64 21kB -90.0 -90.0 ... 90.0 90.0\n",
+       "    vertices_longitude  (y, x, vertices) float64 21kB 358.5 8.5 ... 1.5 351.5\n",
+       "    tos                 (time, y, x) float32 5kB -8.312 -8.349 ... -7.549 -7.512\n",
+       "Attributes: (12/40)\n",
+       "    Conventions:           CF-1.12\n",
+       "    activity_id:           CMIP\n",
+       "    area_label:            sea\n",
+       "    branded_variable:      tos_tavg-u-hxy-sea\n",
+       "    branding_suffix:       tavg-u-hxy-sea\n",
+       "    creation_date:         2026-05-29T20:52:24Z\n",
+       "    ...                    ...\n",
+       "    tracking_id:           hdl:21.14107/d447abe6-562d-4d3c-ba60-68df986e4032\n",
+       "    variable_id:           tos\n",
+       "    variant_label:         r9i1p1f3\n",
+       "    vertical_label:        u\n",
+       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-bbb50aee-3435-4984-8fc5-818bdd3467d3' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-bbb50aee-3435-4984-8fc5-818bdd3467d3' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>y</span>: 18</li><li><span class='xr-has-index'>x</span>: 36</li><li><span>vertices</span>: 4</li></ul></div></li><li class='xr-section-item'><input id='section-8a002a9f-dbe4-4e94-b511-bb2eba2540a4' class='xr-section-summary-in' type='checkbox' checked /><label for='section-8a002a9f-dbe4-4e94-b511-bb2eba2540a4' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0</div><input id='attrs-d7485645-86ba-4f6a-9df5-ddef4a0b4d90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7485645-86ba-4f6a-9df5-ddef4a0b4d90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ad29a3b-808f-4a52-a91e-dd6f03c33aab' class='xr-var-data-in' type='checkbox'><label for='data-6ad29a3b-808f-4a52-a91e-dd6f03c33aab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 15.0 16.0 17.0</div><input id='attrs-da9894c5-5132-431c-b863-2aba3c6e223b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da9894c5-5132-431c-b863-2aba3c6e223b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c223ea3-44ea-41a0-9e21-ae76bd3f6714' class='xr-var-data-in' type='checkbox'><label for='data-0c223ea3-44ea-41a0-9e21-ae76bd3f6714' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
+       "       14., 15., 16., 17.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 33.0 34.0 35.0</div><input id='attrs-de382d48-0e9b-40be-a5b8-e1cdc7aca2f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de382d48-0e9b-40be-a5b8-e1cdc7aca2f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21151a27-59fe-4233-91e4-9b479790afbb' class='xr-var-data-in' type='checkbox'><label for='data-21151a27-59fe-4233-91e4-9b479790afbb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
+       "       14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27.,\n",
+       "       28., 29., 30., 31., 32., 33., 34., 35.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-84.99 -84.97 ... 84.97 84.99</div><input id='attrs-b1a69172-743b-47c3-bd84-8f92cac8af77' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1a69172-743b-47c3-bd84-8f92cac8af77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e6b4559-1996-422f-877a-d3accf26d6d1' class='xr-var-data-in' type='checkbox'><label for='data-3e6b4559-1996-422f-877a-d3accf26d6d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>bounds :</span></dt><dd>vertices_latitude</dd></dl></div><div class='xr-var-data'><pre>array([[-84.98860581, -84.96616365, -84.94474959, -84.92501428,\n",
+       "        -84.90755737, -84.89290929, -84.88151511, -84.87372103,\n",
+       "        -84.86976387, -84.86976387, -84.87372103, -84.88151511,\n",
+       "        -84.89290929, -84.90755737, -84.92501428, -84.94474959,\n",
+       "        -84.96616365, -84.98860581, -85.01139419, -85.03383635,\n",
+       "        -85.05525041, -85.07498572, -85.09244263, -85.10709071,\n",
+       "        -85.11848489, -85.12627897, -85.13023613, -85.13023613,\n",
+       "        -85.12627897, -85.11848489, -85.10709071, -85.09244263,\n",
+       "        -85.07498572, -85.05525041, -85.03383635, -85.01139419],\n",
+       "       [-74.96616365, -74.89951905, -74.83592752, -74.77732124,\n",
+       "        -74.72548095, -74.68198178, -74.64814543, -74.625     ,\n",
+       "        -74.61324876, -74.61324876, -74.625     , -74.64814543,\n",
+       "        -74.68198178, -74.72548095, -74.77732124, -74.83592752,\n",
+       "        -74.89951905, -74.96616365, -75.03383635, -75.10048095,\n",
+       "        -75.16407248, -75.22267876, -75.27451905, -75.31801822,\n",
+       "        -75.35185457, -75.375     , -75.38675124, -75.38675124,\n",
+       "        -75.375     , -75.35185457, -75.31801822, -75.27451905,\n",
+       "        -75.22267876, -75.16407248, -75.10048095, -75.03383635],\n",
+       "       [-64.94474959, -64.83592752, -64.73209071, -64.63639419,\n",
+       "        -64.55174564, -64.48071708, -64.42546667, -64.38767316,\n",
+       "...\n",
+       "         64.38767316,  64.42546667,  64.48071708,  64.55174564,\n",
+       "         64.63639419,  64.73209071,  64.83592752,  64.94474959],\n",
+       "       [ 75.03383635,  75.10048095,  75.16407248,  75.22267876,\n",
+       "         75.27451905,  75.31801822,  75.35185457,  75.375     ,\n",
+       "         75.38675124,  75.38675124,  75.375     ,  75.35185457,\n",
+       "         75.31801822,  75.27451905,  75.22267876,  75.16407248,\n",
+       "         75.10048095,  75.03383635,  74.96616365,  74.89951905,\n",
+       "         74.83592752,  74.77732124,  74.72548095,  74.68198178,\n",
+       "         74.64814543,  74.625     ,  74.61324876,  74.61324876,\n",
+       "         74.625     ,  74.64814543,  74.68198178,  74.72548095,\n",
+       "         74.77732124,  74.83592752,  74.89951905,  74.96616365],\n",
+       "       [ 85.01139419,  85.03383635,  85.05525041,  85.07498572,\n",
+       "         85.09244263,  85.10709071,  85.11848489,  85.12627897,\n",
+       "         85.13023613,  85.13023613,  85.12627897,  85.11848489,\n",
+       "         85.10709071,  85.09244263,  85.07498572,  85.05525041,\n",
+       "         85.03383635,  85.01139419,  84.98860581,  84.96616365,\n",
+       "         84.94474959,  84.92501428,  84.90755737,  84.89290929,\n",
+       "         84.88151511,  84.87372103,  84.86976387,  84.86976387,\n",
+       "         84.87372103,  84.88151511,  84.89290929,  84.90755737,\n",
+       "         84.92501428,  84.94474959,  84.96616365,  84.98860581]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.506 13.51 23.51 ... 346.5 356.5</div><input id='attrs-a00be592-cd2f-4e29-8fab-d58d7cc876c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a00be592-cd2f-4e29-8fab-d58d7cc876c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0600d35-f2ee-4e96-8c3b-69c40adc0c42' class='xr-var-data-in' type='checkbox'><label for='data-e0600d35-f2ee-4e96-8c3b-69c40adc0c42' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>bounds :</span></dt><dd>vertices_longitude</dd></dl></div><div class='xr-var-data'><pre>array([[  3.50570795,  13.50570795,  23.50570795,  33.50570795,\n",
+       "         43.50570795,  53.50570795,  63.50570795,  73.50570795,\n",
+       "         83.50570795,  93.50570795, 103.50570795, 113.50570795,\n",
+       "        123.50570795, 133.50570795, 143.50570795, 153.50570795,\n",
+       "        163.50570795, 173.50570795, 183.50570795, 193.50570795,\n",
+       "        203.50570795, 213.50570795, 223.50570795, 233.50570795,\n",
+       "        243.50570795, 253.50570795, 263.50570795, 273.50570795,\n",
+       "        283.50570795, 293.50570795, 303.50570795, 313.50570795,\n",
+       "        323.50570795, 333.50570795, 343.50570795, 353.50570795],\n",
+       "       [  3.55111126,  13.55111126,  23.55111126,  33.55111126,\n",
+       "         43.55111126,  53.55111126,  63.55111126,  73.55111126,\n",
+       "         83.55111126,  93.55111126, 103.55111126, 113.55111126,\n",
+       "        123.55111126, 133.55111126, 143.55111126, 153.55111126,\n",
+       "        163.55111126, 173.55111126, 183.55111126, 193.55111126,\n",
+       "        203.55111126, 213.55111126, 223.55111126, 233.55111126,\n",
+       "        243.55111126, 253.55111126, 263.55111126, 273.55111126,\n",
+       "        283.55111126, 293.55111126, 303.55111126, 313.55111126,\n",
+       "        323.55111126, 333.55111126, 343.55111126, 353.55111126],\n",
+       "       [  3.64053832,  13.64053832,  23.64053832,  33.64053832,\n",
+       "         43.64053832,  53.64053832,  63.64053832,  73.64053832,\n",
+       "...\n",
+       "        286.35946168, 296.35946168, 306.35946168, 316.35946168,\n",
+       "        326.35946168, 336.35946168, 346.35946168, 356.35946168],\n",
+       "       [  6.44888874,  16.44888874,  26.44888874,  36.44888874,\n",
+       "         46.44888874,  56.44888874,  66.44888874,  76.44888874,\n",
+       "         86.44888874,  96.44888874, 106.44888874, 116.44888874,\n",
+       "        126.44888874, 136.44888874, 146.44888874, 156.44888874,\n",
+       "        166.44888874, 176.44888874, 186.44888874, 196.44888874,\n",
+       "        206.44888874, 216.44888874, 226.44888874, 236.44888874,\n",
+       "        246.44888874, 256.44888874, 266.44888874, 276.44888874,\n",
+       "        286.44888874, 296.44888874, 306.44888874, 316.44888874,\n",
+       "        326.44888874, 336.44888874, 346.44888874, 356.44888874],\n",
+       "       [  6.49429205,  16.49429205,  26.49429205,  36.49429205,\n",
+       "         46.49429205,  56.49429205,  66.49429205,  76.49429205,\n",
+       "         86.49429205,  96.49429205, 106.49429205, 116.49429205,\n",
+       "        126.49429205, 136.49429205, 146.49429205, 156.49429205,\n",
+       "        166.49429205, 176.49429205, 186.49429205, 196.49429205,\n",
+       "        206.49429205, 216.49429205, 226.49429205, 236.49429205,\n",
+       "        246.49429205, 256.49429205, 266.49429205, 276.49429205,\n",
+       "        286.49429205, 296.49429205, 306.49429205, 316.49429205,\n",
+       "        326.49429205, 336.49429205, 346.49429205, 356.49429205]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a1e2f417-15ca-4e60-8ed1-0ab368487e49' class='xr-section-summary-in' type='checkbox' checked /><label for='section-a1e2f417-15ca-4e60-8ed1-0ab368487e49' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0</div><input id='attrs-db52dcbc-39ae-42bb-a807-3acd383e5ff0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-db52dcbc-39ae-42bb-a807-3acd383e5ff0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d9aa9d7-c233-4a5b-98d0-b757e474f266' class='xr-var-data-in' type='checkbox'><label for='data-9d9aa9d7-c233-4a5b-98d0-b757e474f266' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
+       "       [30., 60.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_latitude</span></div><div class='xr-var-dims'>(y, x, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -90.0 -79.95 ... 90.0 90.0</div><input id='attrs-5865b528-e818-4c53-bbe6-34c04d889766' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5865b528-e818-4c53-bbe6-34c04d889766' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13fc5c45-4f1a-477b-ace0-ddd2dee298a2' class='xr-var-data-in' type='checkbox'><label for='data-13fc5c45-4f1a-477b-ace0-ddd2dee298a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[[-90.        , -90.        , -79.95476947, -80.        ],\n",
+       "        [-90.        , -90.        , -79.91091324, -79.95476947],\n",
+       "        [-90.        , -90.        , -79.86976387, -79.91091324],\n",
+       "        ...,\n",
+       "        [-90.        , -90.        , -80.08908676, -80.13023613],\n",
+       "        [-90.        , -90.        , -80.04523053, -80.08908676],\n",
+       "        [-90.        , -90.        , -80.        , -80.04523053]],\n",
+       "\n",
+       "       [[-80.        , -79.95476947, -69.91091324, -70.        ],\n",
+       "        [-79.95476947, -79.91091324, -69.82453333, -69.91091324],\n",
+       "        [-79.91091324, -79.86976387, -69.74348489, -69.82453333],\n",
+       "        ...,\n",
+       "        [-80.13023613, -80.08908676, -70.17546667, -70.25651511],\n",
+       "        [-80.08908676, -80.04523053, -70.08908676, -70.17546667],\n",
+       "        [-80.04523053, -80.        , -70.        , -70.08908676]],\n",
+       "\n",
+       "       [[-70.        , -69.91091324, -59.86976387, -60.        ],\n",
+       "        [-69.91091324, -69.82453333, -59.74348489, -59.86976387],\n",
+       "        [-69.82453333, -69.74348489, -59.625     , -59.74348489],\n",
+       "        ...,\n",
+       "...\n",
+       "        [ 59.625     ,  59.74348489,  69.82453333,  69.74348489],\n",
+       "        [ 59.74348489,  59.86976387,  69.91091324,  69.82453333],\n",
+       "        [ 59.86976387,  60.        ,  70.        ,  69.91091324]],\n",
+       "\n",
+       "       [[ 70.        ,  70.08908676,  80.04523053,  80.        ],\n",
+       "        [ 70.08908676,  70.17546667,  80.08908676,  80.04523053],\n",
+       "        [ 70.17546667,  70.25651511,  80.13023613,  80.08908676],\n",
+       "        ...,\n",
+       "        [ 69.74348489,  69.82453333,  79.91091324,  79.86976387],\n",
+       "        [ 69.82453333,  69.91091324,  79.95476947,  79.91091324],\n",
+       "        [ 69.91091324,  70.        ,  80.        ,  79.95476947]],\n",
+       "\n",
+       "       [[ 80.        ,  80.04523053,  90.        ,  90.        ],\n",
+       "        [ 80.04523053,  80.08908676,  90.        ,  90.        ],\n",
+       "        [ 80.08908676,  80.13023613,  90.        ,  90.        ],\n",
+       "        ...,\n",
+       "        [ 79.86976387,  79.91091324,  90.        ,  90.        ],\n",
+       "        [ 79.91091324,  79.95476947,  90.        ,  90.        ],\n",
+       "        [ 79.95476947,  80.        ,  90.        ,  90.        ]]],\n",
+       "      shape=(18, 36, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_longitude</span></div><div class='xr-var-dims'>(y, x, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>358.5 8.5 8.523 ... 1.477 1.5 351.5</div><input id='attrs-abedaf83-92a5-434b-82c1-93878b25954d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-abedaf83-92a5-434b-82c1-93878b25954d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ef1940c-bcc7-4142-958d-5ae4db4f62ca' class='xr-var-data-in' type='checkbox'><label for='data-8ef1940c-bcc7-4142-958d-5ae4db4f62ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[[358.5       ,   8.5       ,   8.52278837, 358.52278837],\n",
+       "        [  8.5       ,  18.5       ,  18.52278837,   8.52278837],\n",
+       "        [ 18.5       ,  28.5       ,  28.52278837,  18.52278837],\n",
+       "        ...,\n",
+       "        [328.5       , 338.5       , 338.52278837, 328.52278837],\n",
+       "        [338.5       , 348.5       , 348.52278837, 338.52278837],\n",
+       "        [348.5       , 358.5       , 358.52278837, 348.52278837]],\n",
+       "\n",
+       "       [[358.52278837,   8.52278837,   8.59046107, 358.59046107],\n",
+       "        [  8.52278837,  18.52278837,  18.59046107,   8.59046107],\n",
+       "        [ 18.52278837,  28.52278837,  28.59046107,  18.59046107],\n",
+       "        ...,\n",
+       "        [328.52278837, 338.52278837, 338.59046107, 328.59046107],\n",
+       "        [338.52278837, 348.52278837, 348.59046107, 338.59046107],\n",
+       "        [348.52278837, 358.52278837, 358.59046107, 348.59046107]],\n",
+       "\n",
+       "       [[358.59046107,   8.59046107,   8.70096189, 358.70096189],\n",
+       "        [  8.59046107,  18.59046107,  18.70096189,   8.70096189],\n",
+       "        [ 18.59046107,  28.59046107,  28.70096189,  18.70096189],\n",
+       "        ...,\n",
+       "...\n",
+       "        [331.29903811, 341.29903811, 341.40953893, 331.40953893],\n",
+       "        [341.29903811, 351.29903811, 351.40953893, 341.40953893],\n",
+       "        [351.29903811,   1.29903811,   1.40953893, 351.40953893]],\n",
+       "\n",
+       "       [[  1.40953893,  11.40953893,  11.47721163,   1.47721163],\n",
+       "        [ 11.40953893,  21.40953893,  21.47721163,  11.47721163],\n",
+       "        [ 21.40953893,  31.40953893,  31.47721163,  21.47721163],\n",
+       "        ...,\n",
+       "        [331.40953893, 341.40953893, 341.47721163, 331.47721163],\n",
+       "        [341.40953893, 351.40953893, 351.47721163, 341.47721163],\n",
+       "        [351.40953893,   1.40953893,   1.47721163, 351.47721163]],\n",
+       "\n",
+       "       [[  1.47721163,  11.47721163,  11.5       ,   1.5       ],\n",
+       "        [ 11.47721163,  21.47721163,  21.5       ,  11.5       ],\n",
+       "        [ 21.47721163,  31.47721163,  31.5       ,  21.5       ],\n",
+       "        ...,\n",
+       "        [331.47721163, 341.47721163, 341.5       , 331.5       ],\n",
+       "        [341.47721163, 351.47721163, 351.5       , 341.5       ],\n",
+       "        [351.47721163,   1.47721163,   1.5       , 351.5       ]]],\n",
+       "      shape=(18, 36, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-8.312 -8.349 ... -7.549 -7.512</div><input id='attrs-05b94d59-d1cf-4844-9293-65a18f0f0bd5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05b94d59-d1cf-4844-9293-65a18f0f0bd5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ee500a1-9f4e-4393-b41c-f5287fde9b48' class='xr-var-data-in' type='checkbox'><label for='data-8ee500a1-9f4e-4393-b41c-f5287fde9b48' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd></dl></div><div class='xr-var-data'><pre>array([[[-8.312039 , -8.349005 , -8.430357 , ..., -8.471792 ,\n",
+       "         -8.37438  , -8.320584 ],\n",
+       "        [-6.820808 , -6.8450875, -6.914289 , ..., -7.0179367,\n",
+       "         -6.9085636, -6.842183 ],\n",
+       "        [-4.0193896, -4.022181 , -4.0708275, ..., -4.280002 ,\n",
+       "         -4.150284 , -4.0625277],\n",
+       "        ...,\n",
+       "        [-4.0625277, -4.150284 , -4.280002 , ..., -4.0708275,\n",
+       "         -4.022181 , -4.0193896],\n",
+       "        [-6.842183 , -6.9085636, -7.0179367, ..., -6.914289 ,\n",
+       "         -6.8450875, -6.820808 ],\n",
+       "        [-8.320584 , -8.37438  , -8.471792 , ..., -8.430357 ,\n",
+       "         -8.349005 , -8.312039 ]],\n",
+       "\n",
+       "       [[-7.5120397, -7.5490046, -7.6303573, ..., -7.671792 ,\n",
+       "         -7.57438  , -7.5205846],\n",
+       "        [-6.020808 , -6.0450873, -6.1142893, ..., -6.217937 ,\n",
+       "         -6.1085634, -6.0421834],\n",
+       "        [-3.2193897, -3.2221808, -3.2708275, ..., -3.480002 ,\n",
+       "         -3.350284 , -3.2625277],\n",
+       "        ...,\n",
+       "        [-3.2625277, -3.350284 , -3.480002 , ..., -3.2708275,\n",
+       "         -3.2221808, -3.2193897],\n",
+       "        [-6.0421834, -6.1085634, -6.217937 , ..., -6.1142893,\n",
+       "         -6.0450873, -6.020808 ],\n",
+       "        [-7.5205846, -7.57438  , -7.671792 , ..., -7.6303573,\n",
+       "         -7.5490046, -7.5120397]]], shape=(2, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7f69e242-f2cd-4347-955e-704e5ac58f13' class='xr-section-summary-in' type='checkbox' /><label for='section-7f69e242-f2cd-4347-955e-704e5ac58f13' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>tos_tavg-u-hxy-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-sea</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T20:52:24Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacello</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T20:52:24Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/d447abe6-562d-4d3c-ba60-68df986e4032</dd><dt><span>variable_id :</span></dt><dd>tos</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 58kB\n",
+       "Dimensions:             (time: 2, bnds: 2, y: 18, x: 36, vertices: 4)\n",
+       "Coordinates:\n",
+       "  * time                (time) float64 16B 15.0 45.0\n",
+       "  * y                   (y) float64 144B 0.0 1.0 2.0 3.0 ... 14.0 15.0 16.0 17.0\n",
+       "  * x                   (x) float64 288B 0.0 1.0 2.0 3.0 ... 32.0 33.0 34.0 35.0\n",
+       "    latitude            (y, x) float64 5kB -84.99 -84.97 -84.94 ... 84.97 84.99\n",
+       "    longitude           (y, x) float64 5kB 3.506 13.51 23.51 ... 346.5 356.5\n",
+       "Dimensions without coordinates: bnds, vertices\n",
+       "Data variables:\n",
+       "    time_bnds           (time, bnds) float64 32B 0.0 30.0 30.0 60.0\n",
+       "    vertices_latitude   (y, x, vertices) float64 21kB -90.0 -90.0 ... 90.0 90.0\n",
+       "    vertices_longitude  (y, x, vertices) float64 21kB 358.5 8.5 ... 1.5 351.5\n",
+       "    tos                 (time, y, x) float32 5kB -8.312 -8.349 ... -7.549 -7.512\n",
+       "Attributes: (12/40)\n",
+       "    Conventions:           CF-1.12\n",
+       "    activity_id:           CMIP\n",
+       "    area_label:            sea\n",
+       "    branded_variable:      tos_tavg-u-hxy-sea\n",
+       "    branding_suffix:       tavg-u-hxy-sea\n",
+       "    creation_date:         2026-05-29T20:52:24Z\n",
+       "    ...                    ...\n",
+       "    tracking_id:           hdl:21.14107/d447abe6-562d-4d3c-ba60-68df986e4032\n",
+       "    variable_id:           tos\n",
+       "    variant_label:         r9i1p1f3\n",
+       "    vertical_label:        u\n",
+       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+       "    cmor_version:          3.15.1"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "with xr.open_dataset(netcdf_path, decode_times=False) as opened:\n",
     "    ds = opened.load()\n",
@@ -195,10 +1026,42 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "id": "cb58c0ef",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<xarray.Dataset> Size: 16kB\n",
+      "Dimensions:    (time: 2, y: 18, x: 36)\n",
+      "Coordinates:\n",
+      "  * time       (time) float64 16B 15.0 45.0\n",
+      "  * y          (y) float64 144B 0.0 1.0 2.0 3.0 4.0 ... 13.0 14.0 15.0 16.0 17.0\n",
+      "  * x          (x) float64 288B 0.0 1.0 2.0 3.0 4.0 ... 31.0 32.0 33.0 34.0 35.0\n",
+      "    latitude   (y, x) float64 5kB -84.99 -84.97 -84.94 ... 84.94 84.97 84.99\n",
+      "    longitude  (y, x) float64 5kB 3.506 13.51 23.51 33.51 ... 336.5 346.5 356.5\n",
+      "Data variables:\n",
+      "    tos        (time, y, x) float32 5kB -8.312 -8.349 -8.43 ... -7.549 -7.512\n",
+      "Attributes: (12/40)\n",
+      "    Conventions:           CF-1.12\n",
+      "    activity_id:           CMIP\n",
+      "    area_label:            sea\n",
+      "    branded_variable:      tos_tavg-u-hxy-sea\n",
+      "    branding_suffix:       tavg-u-hxy-sea\n",
+      "    creation_date:         2026-05-29T20:52:24Z\n",
+      "    ...                    ...\n",
+      "    tracking_id:           hdl:21.14107/d447abe6-562d-4d3c-ba60-68df986e4032\n",
+      "    variable_id:           tos\n",
+      "    variant_label:         r9i1p1f3\n",
+      "    vertical_label:        u\n",
+      "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+      "    cmor_version:          3.15.1\n",
+      "coordinates on tos: None\n"
+     ]
+    }
+   ],
    "source": [
     "print(ds[[\"tos\", \"latitude\", \"longitude\"]])\n",
     "print(\"coordinates on tos:\", ds[\"tos\"].attrs.get(\"coordinates\"))\n"
@@ -206,28 +1069,51 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "id": "9148e5df",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x540 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "fig, ax = plt.subplots(figsize=(11, 4.8))\n",
-    "mesh = ax.pcolormesh(\n",
-    "    ds[\"longitude\"],\n",
-    "    ds[\"latitude\"],\n",
-    "    ds[\"tos\"].isel(time=0),\n",
-    "    shading=\"auto\",\n",
-    "    cmap=\"coolwarm\",\n",
+    "fig, ax = plt.subplots(figsize=(11, 5.4))\n",
+    "map_plot = Basemap(\n",
+    "    projection=\"cyl\",\n",
+    "    llcrnrlon=0,\n",
+    "    urcrnrlon=360,\n",
+    "    llcrnrlat=-90,\n",
+    "    urcrnrlat=90,\n",
+    "    resolution=\"c\",\n",
+    "    ax=ax,\n",
     ")\n",
-    "fig.colorbar(mesh, ax=ax, label=\"degC\")\n",
+    "map_plot.drawmapboundary(fill_color=\"#f7fbff\", linewidth=0.8)\n",
+    "x, y = map_plot(ds[\"longitude\"].values, ds[\"latitude\"].values)\n",
+    "mesh = map_plot.pcolormesh(x, y, ds[\"tos\"].isel(time=0).values, shading=\"auto\", cmap=\"coolwarm\")\n",
+    "map_plot.drawcoastlines(linewidth=0.7, color=\"0.15\")\n",
+    "map_plot.drawparallels(np.arange(-90, 91, 30), labels=[1, 0, 0, 0], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
+    "map_plot.drawmeridians(np.arange(0, 361, 60), labels=[0, 0, 0, 1], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
+    "colorbar = map_plot.colorbar(mesh, location=\"right\", pad=\"5%\")\n",
+    "colorbar.set_label(\"degC\")\n",
     "ax.set_title(\"CMIP7 tos on a curvilinear grid, first month\")\n",
-    "ax.set_xlabel(\"Longitude\")\n",
-    "ax.set_ylabel(\"Latitude\")\n",
-    "ax.set_xlim(0, 360)\n",
-    "ax.set_ylim(-90, 90)\n",
-    "ax.grid(True, alpha=0.25)\n",
     "plt.show()\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ef4e2dbd-d90e-4b1e-8cbc-93cfdd2e5ccf",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -246,7 +1132,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.14.3"
+   "version": "3.13.7"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/README.md b/notebooks/README.md
index a2f00f8b..2f99012a 100644
--- a/notebooks/README.md
+++ b/notebooks/README.md
@@ -1,21 +1,22 @@
 # CMIP7 CMOR Example Notebooks
 
-These notebooks demonstrate how to use CMOR to create CMIP7 dataset files from synthetic data. Each notebook is self-contained and downloads `cmip7-cmor-tables` if the tables are not already present in the repository.
+These notebooks demonstrate how to use CMOR to create CMIP7 dataset files from synthetic data. They use the `cmip7-cmor-tables` checkout in this repository.
 
 ## Setup
 
 Create the notebook environment from the repository root:
 
 ```bash
-python3.14 -m venv notebook-env
-notebook-env/bin/python -m pip install cmor --extra-index-url https://pcmdi.github.io/cmor
-notebook-env/bin/python -m pip install jupyterlab xarray matplotlib netCDF4
+python-m venv venv
+source venv/bin/activate
+pip install cmor --extra-index-url https://pcmdi.github.io/cmor
+pip install jupyterlab xarray matplotlib netCDF4 basemap
 ```
 
 Start JupyterLab:
 
 ```bash
-notebook-env/bin/jupyter lab notebooks
+jupyter lab notebooks
 ```
 
 The notebooks write generated NetCDF files under `notebooks/output/`.

From 06f218a8130ceb9076b4cabb36055290372b7508 Mon Sep 17 00:00:00 2001
From: Chris Mauzey <mauzey1@llnl.gov>
Date: Fri, 29 May 2026 14:09:06 -0700
Subject: [PATCH 03/25] Update longitude orientation of maps in noteboks

---
 .../01_basic_ocean_surface_temperature.ipynb  |  99 +++++++++++-----
 .../02_atmos_surface_air_temperature.ipynb    | 101 +++++++++++-----
 .../03_pressure_level_air_temperature.ipynb   | 105 +++++++++++------
 notebooks/04_hybrid_sigma_zfactors.ipynb      | 109 ++++++++++++------
 notebooks/05_curvilinear_ocean_grid.ipynb     | 107 +++++++++++------
 5 files changed, 353 insertions(+), 168 deletions(-)

diff --git a/notebooks/01_basic_ocean_surface_temperature.ipynb b/notebooks/01_basic_ocean_surface_temperature.ipynb
index 7aa6056c..eb865da7 100644
--- a/notebooks/01_basic_ocean_surface_temperature.ipynb
+++ b/notebooks/01_basic_ocean_surface_temperature.ipynb
@@ -14,7 +14,14 @@
    "cell_type": "code",
    "execution_count": 1,
    "id": "1ef49a65",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T21:02:57.351449Z",
+     "iopub.status.busy": "2026-05-29T21:02:57.351215Z",
+     "iopub.status.idle": "2026-05-29T21:02:57.853699Z",
+     "shell.execute_reply": "2026-05-29T21:02:57.853277Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -57,7 +64,14 @@
    "cell_type": "code",
    "execution_count": 2,
    "id": "98a3af92",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T21:02:57.855273Z",
+     "iopub.status.busy": "2026-05-29T21:02:57.855140Z",
+     "iopub.status.idle": "2026-05-29T21:02:57.862497Z",
+     "shell.execute_reply": "2026-05-29T21:02:57.862066Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -125,7 +139,14 @@
    "cell_type": "code",
    "execution_count": 3,
    "id": "33c84a99",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T21:02:57.863601Z",
+     "iopub.status.busy": "2026-05-29T21:02:57.863531Z",
+     "iopub.status.idle": "2026-05-29T21:02:57.928339Z",
+     "shell.execute_reply": "2026-05-29T21:02:57.928028Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -176,7 +197,14 @@
    "cell_type": "code",
    "execution_count": 4,
    "id": "52566071",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T21:02:57.929724Z",
+     "iopub.status.busy": "2026-05-29T21:02:57.929646Z",
+     "iopub.status.idle": "2026-05-29T21:02:58.043224Z",
+     "shell.execute_reply": "2026-05-29T21:02:58.042837Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -741,19 +769,19 @@
        "    area_label:            sea\n",
        "    branded_variable:      tos_tavg-u-hxy-sea\n",
        "    branding_suffix:       tavg-u-hxy-sea\n",
-       "    creation_date:         2026-05-29T20:43:47Z\n",
+       "    creation_date:         2026-05-29T21:02:57Z\n",
        "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/ba774a60-6959-4f3d-8a0f-334e9c4be8ee\n",
+       "    tracking_id:           hdl:21.14107/3ea8cadf-6797-4061-bfde-af9245c7816e\n",
        "    variable_id:           tos\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-25261ede-ec51-418f-9649-9cbcb741514e' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-25261ede-ec51-418f-9649-9cbcb741514e' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 3</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div></li><li class='xr-section-item'><input id='section-4cae78ba-f1f7-4937-b4fa-d3ee945d8c6b' class='xr-section-summary-in' type='checkbox' checked /><label for='section-4cae78ba-f1f7-4937-b4fa-d3ee945d8c6b' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0 75.0</div><input id='attrs-8b53bb3f-aba9-4e7a-bba6-1c1da518d7eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b53bb3f-aba9-4e7a-bba6-1c1da518d7eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d106b2a6-abe1-4c63-a5b3-573361d3455a' class='xr-var-data-in' type='checkbox'><label for='data-d106b2a6-abe1-4c63-a5b3-573361d3455a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45., 75.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-8332d93a-fe2d-4026-878e-a28fcc13ef03' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8332d93a-fe2d-4026-878e-a28fcc13ef03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64d16da7-ca1d-4ad3-9f36-790c68d47b3e' class='xr-var-data-in' type='checkbox'><label for='data-64d16da7-ca1d-4ad3-9f36-790c68d47b3e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
-       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-304a1a64-b563-4a3d-b708-3e54cdfb3a42' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-304a1a64-b563-4a3d-b708-3e54cdfb3a42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7949c5ea-3900-4100-9770-deafd422211b' class='xr-var-data-in' type='checkbox'><label for='data-7949c5ea-3900-4100-9770-deafd422211b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7d2baff9-4e7d-4e4d-8bc1-2e6784ec8d9c' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-7d2baff9-4e7d-4e4d-8bc1-2e6784ec8d9c' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 3</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div></li><li class='xr-section-item'><input id='section-285da283-8b2b-4bad-bd5b-782f5bbe2313' class='xr-section-summary-in' type='checkbox' checked /><label for='section-285da283-8b2b-4bad-bd5b-782f5bbe2313' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0 75.0</div><input id='attrs-e83d1976-b451-46a6-b6f3-33de65677add' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e83d1976-b451-46a6-b6f3-33de65677add' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8ceb317-7622-4337-9579-5bc7f73e89be' class='xr-var-data-in' type='checkbox'><label for='data-e8ceb317-7622-4337-9579-5bc7f73e89be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45., 75.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-b5604cef-c47f-479c-abe1-f444b5fec88b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5604cef-c47f-479c-abe1-f444b5fec88b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-447d93e6-ceaf-42d2-b4ad-db723ef16f59' class='xr-var-data-in' type='checkbox'><label for='data-447d93e6-ceaf-42d2-b4ad-db723ef16f59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
+       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-a36eab88-1bad-4ff4-9a0b-2e4718a710d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a36eab88-1bad-4ff4-9a0b-2e4718a710d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce6340e8-ea19-436f-8857-53b0ef576934' class='xr-var-data-in' type='checkbox'><label for='data-ce6340e8-ea19-436f-8857-53b0ef576934' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
        "       125., 135., 145., 155., 165., 175., 185., 195., 205., 215., 225., 235.,\n",
-       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5bbd7729-ddf7-4e03-b81b-b5531f05ad64' class='xr-section-summary-in' type='checkbox' checked /><label for='section-5bbd7729-ddf7-4e03-b81b-b5531f05ad64' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0 60.0 90.0</div><input id='attrs-30766ba5-6e29-444f-b3c3-26d244769b05' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-30766ba5-6e29-444f-b3c3-26d244769b05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d77aea0e-d7f4-4e22-9f44-5cc797fbdf9e' class='xr-var-data-in' type='checkbox'><label for='data-d77aea0e-d7f4-4e22-9f44-5cc797fbdf9e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
+       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-419e786d-729f-45bc-ae50-075d389aea00' class='xr-section-summary-in' type='checkbox' checked /><label for='section-419e786d-729f-45bc-ae50-075d389aea00' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0 60.0 90.0</div><input id='attrs-79b13ca0-6a24-4a26-887a-043496673c37' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-79b13ca0-6a24-4a26-887a-043496673c37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50700c41-cac3-4bc4-8dd4-40e050205331' class='xr-var-data-in' type='checkbox'><label for='data-50700c41-cac3-4bc4-8dd4-40e050205331' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
        "       [30., 60.],\n",
-       "       [60., 90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-1eb8e69f-a219-4fa7-8fd3-945a48fe7242' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1eb8e69f-a219-4fa7-8fd3-945a48fe7242' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3e785cc-ec54-420c-8dc4-711605c874ec' class='xr-var-data-in' type='checkbox'><label for='data-b3e785cc-ec54-420c-8dc4-711605c874ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
+       "       [60., 90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-1e5ee1af-c8c0-4dfc-b817-83bbb17e3f1c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1e5ee1af-c8c0-4dfc-b817-83bbb17e3f1c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4736e7d-b8bf-41f9-96ec-ce73bc1d9650' class='xr-var-data-in' type='checkbox'><label for='data-f4736e7d-b8bf-41f9-96ec-ce73bc1d9650' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
        "       [-80., -70.],\n",
        "       [-70., -60.],\n",
        "       [-60., -50.],\n",
@@ -770,7 +798,7 @@
        "       [ 50.,  60.],\n",
        "       [ 60.,  70.],\n",
        "       [ 70.,  80.],\n",
-       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-876412dc-4edc-4ab6-89f4-50bea9028d54' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-876412dc-4edc-4ab6-89f4-50bea9028d54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cde96a39-8c0a-4b63-aa4a-e2aa223e5025' class='xr-var-data-in' type='checkbox'><label for='data-cde96a39-8c0a-4b63-aa4a-e2aa223e5025' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
+       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-c368f11e-a5d4-4d2a-bf7b-50e76e8aedb6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c368f11e-a5d4-4d2a-bf7b-50e76e8aedb6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-641240e7-0f4c-42a7-83dc-e3654b15f1ab' class='xr-var-data-in' type='checkbox'><label for='data-641240e7-0f4c-42a7-83dc-e3654b15f1ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
        "       [ 10.,  20.],\n",
        "       [ 20.,  30.],\n",
        "       [ 30.,  40.],\n",
@@ -805,7 +833,7 @@
        "       [320., 330.],\n",
        "       [330., 340.],\n",
        "       [340., 350.],\n",
-       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-8.316 -8.361 ... -8.761 -8.716</div><input id='attrs-c4e1dfd3-529d-4d77-89dc-a7232b5ac158' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c4e1dfd3-529d-4d77-89dc-a7232b5ac158' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5778ecd-b9fb-4391-9f02-fc46c4b49cf2' class='xr-var-data-in' type='checkbox'><label for='data-d5778ecd-b9fb-4391-9f02-fc46c4b49cf2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd></dl></div><div class='xr-var-data'><pre>array([[[-8.3158045, -8.361208 , -8.450635 , ..., -8.450635 ,\n",
+       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-8.316 -8.361 ... -8.761 -8.716</div><input id='attrs-e671a059-05dd-4f54-a676-b28a9069b14b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e671a059-05dd-4f54-a676-b28a9069b14b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a87c72a9-3c15-43e4-9e09-5f08119adb72' class='xr-var-data-in' type='checkbox'><label for='data-a87c72a9-3c15-43e4-9e09-5f08119adb72' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd></dl></div><div class='xr-var-data'><pre>array([[[-8.3158045, -8.361208 , -8.450635 , ..., -8.450635 ,\n",
        "         -8.361208 , -8.3158045],\n",
        "        [-6.8310256, -6.8764286, -6.965856 , ..., -6.965856 ,\n",
        "         -6.8764286, -6.8310256],\n",
@@ -845,7 +873,7 @@
        "        [-7.2310257, -7.2764287, -7.3658557, ..., -7.3658557,\n",
        "         -7.2764287, -7.2310257],\n",
        "        [-8.715805 , -8.761209 , -8.850636 , ..., -8.850636 ,\n",
-       "         -8.761209 , -8.715805 ]]], shape=(3, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2c7892ec-c842-49b5-b566-eaa3b6ee6607' class='xr-section-summary-in' type='checkbox' /><label for='section-2c7892ec-c842-49b5-b566-eaa3b6ee6607' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>tos_tavg-u-hxy-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-sea</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T20:43:47Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacello</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T20:43:47Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/ba774a60-6959-4f3d-8a0f-334e9c4be8ee</dd><dt><span>variable_id :</span></dt><dd>tos</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+       "         -8.761209 , -8.715805 ]]], shape=(3, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2681efe0-d7c0-4b95-8252-87cdf4c73a85' class='xr-section-summary-in' type='checkbox' /><label for='section-2681efe0-d7c0-4b95-8252-87cdf4c73a85' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>tos_tavg-u-hxy-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-sea</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T21:02:57Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacello</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T21:02:57Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/3ea8cadf-6797-4061-bfde-af9245c7816e</dd><dt><span>variable_id :</span></dt><dd>tos</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 9kB\n",
@@ -866,9 +894,9 @@
        "    area_label:            sea\n",
        "    branded_variable:      tos_tavg-u-hxy-sea\n",
        "    branding_suffix:       tavg-u-hxy-sea\n",
-       "    creation_date:         2026-05-29T20:43:47Z\n",
+       "    creation_date:         2026-05-29T21:02:57Z\n",
        "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/ba774a60-6959-4f3d-8a0f-334e9c4be8ee\n",
+       "    tracking_id:           hdl:21.14107/3ea8cadf-6797-4061-bfde-af9245c7816e\n",
        "    variable_id:           tos\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
@@ -891,7 +919,14 @@
    "cell_type": "code",
    "execution_count": 5,
    "id": "593dabd1",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T21:02:58.044492Z",
+     "iopub.status.busy": "2026-05-29T21:02:58.044408Z",
+     "iopub.status.idle": "2026-05-29T21:02:58.046674Z",
+     "shell.execute_reply": "2026-05-29T21:02:58.046176Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -922,11 +957,18 @@
    "cell_type": "code",
    "execution_count": 6,
    "id": "1a291a66",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T21:02:58.047809Z",
+     "iopub.status.busy": "2026-05-29T21:02:58.047710Z",
+     "iopub.status.idle": "2026-05-29T21:02:58.186481Z",
+     "shell.execute_reply": "2026-05-29T21:02:58.186021Z"
+    }
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1100x540 with 2 Axes>"
       ]
@@ -939,33 +981,28 @@
     "fig, ax = plt.subplots(figsize=(11, 5.4))\n",
     "map_plot = Basemap(\n",
     "    projection=\"cyl\",\n",
-    "    llcrnrlon=0,\n",
-    "    urcrnrlon=360,\n",
+    "    llcrnrlon=-180,\n",
+    "    urcrnrlon=180,\n",
     "    llcrnrlat=-90,\n",
     "    urcrnrlat=90,\n",
     "    resolution=\"c\",\n",
     "    ax=ax,\n",
     ")\n",
     "map_plot.drawmapboundary(fill_color=\"#f7fbff\", linewidth=0.8)\n",
-    "lon_grid, lat_grid = np.meshgrid(ds[\"lon\"].values, ds[\"lat\"].values)\n",
+    "lon_wrapped = ((ds[\"lon\"].values + 180.0) % 360.0) - 180.0\n",
+    "lon_order = np.argsort(lon_wrapped)\n",
+    "lon_grid, lat_grid = np.meshgrid(lon_wrapped[lon_order], ds[\"lat\"].values)\n",
     "x, y = map_plot(lon_grid, lat_grid)\n",
-    "mesh = map_plot.pcolormesh(x, y, ds[\"tos\"].isel(time=0).values, shading=\"auto\", cmap=\"coolwarm\")\n",
+    "field = ds[\"tos\"].isel(time=0).values[:, lon_order]\n",
+    "mesh = map_plot.pcolormesh(x, y, field, shading=\"auto\", cmap=\"coolwarm\")\n",
     "map_plot.drawcoastlines(linewidth=0.7, color=\"0.15\")\n",
     "map_plot.drawparallels(np.arange(-90, 91, 30), labels=[1, 0, 0, 0], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
-    "map_plot.drawmeridians(np.arange(0, 361, 60), labels=[0, 0, 0, 1], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
+    "map_plot.drawmeridians(np.arange(-180, 181, 60), labels=[0, 0, 0, 1], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
     "colorbar = map_plot.colorbar(mesh, location=\"right\", pad=\"5%\")\n",
     "colorbar.set_label(\"degC\")\n",
     "ax.set_title(\"CMIP7 tos, first month\")\n",
     "plt.show()\n"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "23802f0e-ca2d-40dd-97fb-0e79cde52c16",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
diff --git a/notebooks/02_atmos_surface_air_temperature.ipynb b/notebooks/02_atmos_surface_air_temperature.ipynb
index a5b33a76..2ba58f77 100644
--- a/notebooks/02_atmos_surface_air_temperature.ipynb
+++ b/notebooks/02_atmos_surface_air_temperature.ipynb
@@ -14,7 +14,14 @@
    "cell_type": "code",
    "execution_count": 1,
    "id": "d1d1af98",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T21:02:59.086212Z",
+     "iopub.status.busy": "2026-05-29T21:02:59.086048Z",
+     "iopub.status.idle": "2026-05-29T21:02:59.589644Z",
+     "shell.execute_reply": "2026-05-29T21:02:59.589162Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -57,7 +64,14 @@
    "cell_type": "code",
    "execution_count": 2,
    "id": "284b84c2",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T21:02:59.591328Z",
+     "iopub.status.busy": "2026-05-29T21:02:59.591090Z",
+     "iopub.status.idle": "2026-05-29T21:02:59.600036Z",
+     "shell.execute_reply": "2026-05-29T21:02:59.599534Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -125,7 +139,14 @@
    "cell_type": "code",
    "execution_count": 3,
    "id": "d2ded412",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T21:02:59.601389Z",
+     "iopub.status.busy": "2026-05-29T21:02:59.601294Z",
+     "iopub.status.idle": "2026-05-29T21:02:59.675304Z",
+     "shell.execute_reply": "2026-05-29T21:02:59.674666Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -177,7 +198,14 @@
    "cell_type": "code",
    "execution_count": 4,
    "id": "5bf2f00d",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T21:02:59.677047Z",
+     "iopub.status.busy": "2026-05-29T21:02:59.676950Z",
+     "iopub.status.idle": "2026-05-29T21:02:59.790677Z",
+     "shell.execute_reply": "2026-05-29T21:02:59.790216Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -743,19 +771,19 @@
        "    area_label:            u\n",
        "    branded_variable:      tas_tavg-h2m-hxy-u\n",
        "    branding_suffix:       tavg-h2m-hxy-u\n",
-       "    creation_date:         2026-05-29T20:52:00Z\n",
+       "    creation_date:         2026-05-29T21:02:59Z\n",
        "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/02675365-e1bd-4ccc-95bd-afebfbd8c0a1\n",
+       "    tracking_id:           hdl:21.14107/981933d1-7b64-4ace-a7dd-77c58ff78c0a\n",
        "    variable_id:           tas\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        h2m\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e5c7bf6d-992d-46d7-8d93-5445e85582cd' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-e5c7bf6d-992d-46d7-8d93-5445e85582cd' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 3</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div></li><li class='xr-section-item'><input id='section-712502e6-420c-490d-9360-de6f9def6bd7' class='xr-section-summary-in' type='checkbox' checked /><label for='section-712502e6-420c-490d-9360-de6f9def6bd7' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0 75.0</div><input id='attrs-e02b4b85-fe04-4aed-a336-95d991ea7636' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e02b4b85-fe04-4aed-a336-95d991ea7636' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2394859e-1785-4944-b9ce-4b0076c751c3' class='xr-var-data-in' type='checkbox'><label for='data-2394859e-1785-4944-b9ce-4b0076c751c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45., 75.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-5cde5b04-d585-4102-91ac-189a91daa08c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5cde5b04-d585-4102-91ac-189a91daa08c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f52e72e3-7f65-4bc7-91c6-1c87ccddf546' class='xr-var-data-in' type='checkbox'><label for='data-f52e72e3-7f65-4bc7-91c6-1c87ccddf546' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
-       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-48e3eaec-c1c4-4430-9db9-e292758ffa18' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-48e3eaec-c1c4-4430-9db9-e292758ffa18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef39d40a-c730-48dd-94e0-33f7d70a3d20' class='xr-var-data-in' type='checkbox'><label for='data-ef39d40a-c730-48dd-94e0-33f7d70a3d20' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2cdeea7c-1890-4222-aa25-e4cbfaff4449' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-2cdeea7c-1890-4222-aa25-e4cbfaff4449' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 3</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div></li><li class='xr-section-item'><input id='section-3e829622-55fc-4d1d-86d4-685eb2de7c92' class='xr-section-summary-in' type='checkbox' checked /><label for='section-3e829622-55fc-4d1d-86d4-685eb2de7c92' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0 75.0</div><input id='attrs-6bf7da9a-7726-4e77-8fec-db2117427bc3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6bf7da9a-7726-4e77-8fec-db2117427bc3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81a6538a-abbc-44aa-972d-497dc8059883' class='xr-var-data-in' type='checkbox'><label for='data-81a6538a-abbc-44aa-972d-497dc8059883' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45., 75.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-a0f3a194-3d85-4883-af9a-1ab8b973ca19' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0f3a194-3d85-4883-af9a-1ab8b973ca19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8226911-4027-4670-800b-c95ae26f405e' class='xr-var-data-in' type='checkbox'><label for='data-e8226911-4027-4670-800b-c95ae26f405e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
+       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-219925b4-d215-4eef-b4cf-16deb3df2c64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-219925b4-d215-4eef-b4cf-16deb3df2c64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66b960ea-001f-4a72-9519-a9b24973237a' class='xr-var-data-in' type='checkbox'><label for='data-66b960ea-001f-4a72-9519-a9b24973237a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
        "       125., 135., 145., 155., 165., 175., 185., 195., 205., 215., 225., 235.,\n",
-       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-a6e230f9-8992-4e00-9676-572800a9d9f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6e230f9-8992-4e00-9676-572800a9d9f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-847e3ec6-00f8-4eee-93e0-b8da0f0c84f9' class='xr-var-data-in' type='checkbox'><label for='data-847e3ec6-00f8-4eee-93e0-b8da0f0c84f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6c865581-8bfd-44ef-9913-7ba47253b864' class='xr-section-summary-in' type='checkbox' checked /><label for='section-6c865581-8bfd-44ef-9913-7ba47253b864' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0 60.0 90.0</div><input id='attrs-e4169ae2-0752-4917-ba68-05ad3c89628c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e4169ae2-0752-4917-ba68-05ad3c89628c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1cbca33d-e47b-43de-8b0f-9413f87c811a' class='xr-var-data-in' type='checkbox'><label for='data-1cbca33d-e47b-43de-8b0f-9413f87c811a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
+       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-7d2b53df-a093-4e87-a830-75874595dba4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d2b53df-a093-4e87-a830-75874595dba4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c0de3c5-2553-4e67-a1f8-1d1626aacc70' class='xr-var-data-in' type='checkbox'><label for='data-5c0de3c5-2553-4e67-a1f8-1d1626aacc70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3d4ffda5-0518-4fd2-aead-86be86c99968' class='xr-section-summary-in' type='checkbox' checked /><label for='section-3d4ffda5-0518-4fd2-aead-86be86c99968' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0 60.0 90.0</div><input id='attrs-dc8c26a4-6d2a-4b80-a1ba-34c3ff978539' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dc8c26a4-6d2a-4b80-a1ba-34c3ff978539' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1ab1ccd-d66b-49dc-bf38-8cb1362eeb02' class='xr-var-data-in' type='checkbox'><label for='data-d1ab1ccd-d66b-49dc-bf38-8cb1362eeb02' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
        "       [30., 60.],\n",
-       "       [60., 90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-c90b485a-a7e7-4fb3-9dfb-9de773c57412' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c90b485a-a7e7-4fb3-9dfb-9de773c57412' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f39548f-0b57-4a35-b70b-b9f9b02ff684' class='xr-var-data-in' type='checkbox'><label for='data-0f39548f-0b57-4a35-b70b-b9f9b02ff684' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
+       "       [60., 90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-8aa5b2bd-0af2-4458-8027-689511d661d9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8aa5b2bd-0af2-4458-8027-689511d661d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea74043f-a665-4325-b250-75aac726e81b' class='xr-var-data-in' type='checkbox'><label for='data-ea74043f-a665-4325-b250-75aac726e81b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
        "       [-80., -70.],\n",
        "       [-70., -60.],\n",
        "       [-60., -50.],\n",
@@ -772,7 +800,7 @@
        "       [ 50.,  60.],\n",
        "       [ 60.,  70.],\n",
        "       [ 70.,  80.],\n",
-       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-aa65a24a-532c-4104-9f08-87d0f76ae861' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-aa65a24a-532c-4104-9f08-87d0f76ae861' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c22ac6ca-e6f2-4cf5-9303-9d4e327953a9' class='xr-var-data-in' type='checkbox'><label for='data-c22ac6ca-e6f2-4cf5-9303-9d4e327953a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
+       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-40145614-f6e3-43e7-838f-b86de825d5c3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-40145614-f6e3-43e7-838f-b86de825d5c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e26f9db0-3d41-4d5b-8eb9-ea9e21456f0a' class='xr-var-data-in' type='checkbox'><label for='data-e26f9db0-3d41-4d5b-8eb9-ea9e21456f0a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
        "       [ 10.,  20.],\n",
        "       [ 20.,  30.],\n",
        "       [ 30.,  40.],\n",
@@ -807,7 +835,7 @@
        "       [320., 330.],\n",
        "       [330., 340.],\n",
        "       [340., 350.],\n",
-       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>240.3 240.3 240.2 ... 248.3 248.3</div><input id='attrs-efa7475c-6aff-4070-96f4-e002d3f270ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-efa7475c-6aff-4070-96f4-e002d3f270ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ba687e8-8baf-4b5a-afb2-52c53e9d1915' class='xr-var-data-in' type='checkbox'><label for='data-1ba687e8-8baf-4b5a-afb2-52c53e9d1915' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>history :</span></dt><dd>2026-05-29T20:52:00Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;.</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[240.33421, 240.27368, 240.15443, ..., 240.15443, 240.27368,\n",
+       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>240.3 240.3 240.2 ... 248.3 248.3</div><input id='attrs-920fec20-414c-4f9f-a293-b0d587f0dec0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-920fec20-414c-4f9f-a293-b0d587f0dec0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d7f5221-d2ec-49b9-9ea8-fd0eadb19597' class='xr-var-data-in' type='checkbox'><label for='data-5d7f5221-d2ec-49b9-9ea8-fd0eadb19597' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>history :</span></dt><dd>2026-05-29T21:02:59Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;.</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[240.33421, 240.27368, 240.15443, ..., 240.15443, 240.27368,\n",
        "         240.33421],\n",
        "        [243.00682, 242.94627, 242.82704, ..., 242.82704, 242.94627,\n",
        "         243.00682],\n",
@@ -847,7 +875,7 @@
        "        [251.00682, 250.94627, 250.82704, ..., 250.82704, 250.94627,\n",
        "         251.00682],\n",
        "        [248.33421, 248.27368, 248.15443, ..., 248.15443, 248.27368,\n",
-       "         248.33421]]], shape=(3, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c935a076-054b-4afa-8d37-fe6b123348ae' class='xr-section-summary-in' type='checkbox' /><label for='section-c935a076-054b-4afa-8d37-fe6b123348ae' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>tas_tavg-h2m-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-h2m-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T20:52:00Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T20:52:00Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/02675365-e1bd-4ccc-95bd-afebfbd8c0a1</dd><dt><span>variable_id :</span></dt><dd>tas</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>h2m</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+       "         248.33421]]], shape=(3, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-76350c9f-285b-49fd-9e72-abd8e850b957' class='xr-section-summary-in' type='checkbox' /><label for='section-76350c9f-285b-49fd-9e72-abd8e850b957' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>tas_tavg-h2m-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-h2m-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T21:02:59Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T21:02:59Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/981933d1-7b64-4ace-a7dd-77c58ff78c0a</dd><dt><span>variable_id :</span></dt><dd>tas</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>h2m</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 9kB\n",
@@ -869,9 +897,9 @@
        "    area_label:            u\n",
        "    branded_variable:      tas_tavg-h2m-hxy-u\n",
        "    branding_suffix:       tavg-h2m-hxy-u\n",
-       "    creation_date:         2026-05-29T20:52:00Z\n",
+       "    creation_date:         2026-05-29T21:02:59Z\n",
        "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/02675365-e1bd-4ccc-95bd-afebfbd8c0a1\n",
+       "    tracking_id:           hdl:21.14107/981933d1-7b64-4ace-a7dd-77c58ff78c0a\n",
        "    variable_id:           tas\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        h2m\n",
@@ -894,7 +922,14 @@
    "cell_type": "code",
    "execution_count": 5,
    "id": "33d4b0c8",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T21:02:59.792632Z",
+     "iopub.status.busy": "2026-05-29T21:02:59.792473Z",
+     "iopub.status.idle": "2026-05-29T21:02:59.795034Z",
+     "shell.execute_reply": "2026-05-29T21:02:59.794498Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -908,7 +943,7 @@
       "region: glb\n",
       "\n",
       "height coordinate: 2.0 m\n",
-      "Variable attributes: {'standard_name': 'air_temperature', 'long_name': 'Near-Surface Air Temperature', 'units': 'K', 'cell_methods': 'area: time: mean', 'history': \"2026-05-29T20:52:00Z altered by CMOR: Treated scalar dimension: 'height'.\", 'cell_measures': 'area: areacella'}\n"
+      "Variable attributes: {'standard_name': 'air_temperature', 'long_name': 'Near-Surface Air Temperature', 'units': 'K', 'cell_methods': 'area: time: mean', 'history': \"2026-05-29T21:02:59Z altered by CMOR: Treated scalar dimension: 'height'.\", 'cell_measures': 'area: areacella'}\n"
      ]
     }
    ],
@@ -923,11 +958,18 @@
    "cell_type": "code",
    "execution_count": 6,
    "id": "1daca239",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T21:02:59.796329Z",
+     "iopub.status.busy": "2026-05-29T21:02:59.796216Z",
+     "iopub.status.idle": "2026-05-29T21:02:59.930604Z",
+     "shell.execute_reply": "2026-05-29T21:02:59.930251Z"
+    }
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1100x540 with 2 Axes>"
       ]
@@ -940,33 +982,28 @@
     "fig, ax = plt.subplots(figsize=(11, 5.4))\n",
     "map_plot = Basemap(\n",
     "    projection=\"cyl\",\n",
-    "    llcrnrlon=0,\n",
-    "    urcrnrlon=360,\n",
+    "    llcrnrlon=-180,\n",
+    "    urcrnrlon=180,\n",
     "    llcrnrlat=-90,\n",
     "    urcrnrlat=90,\n",
     "    resolution=\"c\",\n",
     "    ax=ax,\n",
     ")\n",
     "map_plot.drawmapboundary(fill_color=\"#f7fbff\", linewidth=0.8)\n",
-    "lon_grid, lat_grid = np.meshgrid(ds[\"lon\"].values, ds[\"lat\"].values)\n",
+    "lon_wrapped = ((ds[\"lon\"].values + 180.0) % 360.0) - 180.0\n",
+    "lon_order = np.argsort(lon_wrapped)\n",
+    "lon_grid, lat_grid = np.meshgrid(lon_wrapped[lon_order], ds[\"lat\"].values)\n",
     "x, y = map_plot(lon_grid, lat_grid)\n",
-    "mesh = map_plot.pcolormesh(x, y, ds[\"tas\"].isel(time=0).values, shading=\"auto\", cmap=\"RdYlBu_r\")\n",
+    "field = ds[\"tas\"].isel(time=0).values[:, lon_order]\n",
+    "mesh = map_plot.pcolormesh(x, y, field, shading=\"auto\", cmap=\"RdYlBu_r\")\n",
     "map_plot.drawcoastlines(linewidth=0.7, color=\"0.15\")\n",
     "map_plot.drawparallels(np.arange(-90, 91, 30), labels=[1, 0, 0, 0], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
-    "map_plot.drawmeridians(np.arange(0, 361, 60), labels=[0, 0, 0, 1], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
+    "map_plot.drawmeridians(np.arange(-180, 181, 60), labels=[0, 0, 0, 1], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
     "colorbar = map_plot.colorbar(mesh, location=\"right\", pad=\"5%\")\n",
     "colorbar.set_label(\"K\")\n",
     "ax.set_title(\"CMIP7 tas at 2 m, first month\")\n",
     "plt.show()\n"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ac919003-5972-4729-9e86-61c729e99615",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
diff --git a/notebooks/03_pressure_level_air_temperature.ipynb b/notebooks/03_pressure_level_air_temperature.ipynb
index 3d0223c0..c606e7c7 100644
--- a/notebooks/03_pressure_level_air_temperature.ipynb
+++ b/notebooks/03_pressure_level_air_temperature.ipynb
@@ -14,7 +14,14 @@
    "cell_type": "code",
    "execution_count": 1,
    "id": "4c424c5c",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T21:03:00.803745Z",
+     "iopub.status.busy": "2026-05-29T21:03:00.803627Z",
+     "iopub.status.idle": "2026-05-29T21:03:01.286412Z",
+     "shell.execute_reply": "2026-05-29T21:03:01.285960Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -57,7 +64,14 @@
    "cell_type": "code",
    "execution_count": 2,
    "id": "1324ba6e",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T21:03:01.287749Z",
+     "iopub.status.busy": "2026-05-29T21:03:01.287625Z",
+     "iopub.status.idle": "2026-05-29T21:03:01.295577Z",
+     "shell.execute_reply": "2026-05-29T21:03:01.295225Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -150,7 +164,14 @@
    "cell_type": "code",
    "execution_count": 3,
    "id": "c59fb308",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T21:03:01.296938Z",
+     "iopub.status.busy": "2026-05-29T21:03:01.296855Z",
+     "iopub.status.idle": "2026-05-29T21:03:01.370834Z",
+     "shell.execute_reply": "2026-05-29T21:03:01.370490Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -202,7 +223,14 @@
    "cell_type": "code",
    "execution_count": 4,
    "id": "09d6a9fe",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T21:03:01.372348Z",
+     "iopub.status.busy": "2026-05-29T21:03:01.372259Z",
+     "iopub.status.idle": "2026-05-29T21:03:01.492910Z",
+     "shell.execute_reply": "2026-05-29T21:03:01.492446Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -768,20 +796,20 @@
        "    area_label:            air\n",
        "    branded_variable:      ta_tavg-p19-hxy-air\n",
        "    branding_suffix:       tavg-p19-hxy-air\n",
-       "    creation_date:         2026-05-29T20:52:09Z\n",
+       "    creation_date:         2026-05-29T21:03:01Z\n",
        "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/40ab0d49-419b-4b06-9fae-1f36c819c7bd\n",
+       "    tracking_id:           hdl:21.14107/2f1643fb-f1b3-4663-8db6-6dd4f30ea310\n",
        "    variable_id:           ta\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        p19\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f1a8228f-2efe-4a34-b6d3-4db508798e54' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-f1a8228f-2efe-4a34-b6d3-4db508798e54' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li><li><span class='xr-has-index'>plev</span>: 19</li></ul></div></li><li class='xr-section-item'><input id='section-b614cf40-0930-44ed-b6fb-cbfe96032c50' class='xr-section-summary-in' type='checkbox' checked /><label for='section-b614cf40-0930-44ed-b6fb-cbfe96032c50' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0</div><input id='attrs-35656ab2-9ad4-4cb6-ba48-bda66759d3a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-35656ab2-9ad4-4cb6-ba48-bda66759d3a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34b63dbf-3c99-47a8-9499-2c2ecadde412' class='xr-var-data-in' type='checkbox'><label for='data-34b63dbf-3c99-47a8-9499-2c2ecadde412' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-9d97ae34-78c8-422f-8ac6-77e42c0fbb38' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d97ae34-78c8-422f-8ac6-77e42c0fbb38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9c7f719-eca3-4406-8a30-09aeed1fb71e' class='xr-var-data-in' type='checkbox'><label for='data-f9c7f719-eca3-4406-8a30-09aeed1fb71e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
-       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-f9bfd25e-73f6-419c-ab6c-0e6e0b451d65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9bfd25e-73f6-419c-ab6c-0e6e0b451d65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c8a950c-7ad0-46de-9da5-a12de70e49be' class='xr-var-data-in' type='checkbox'><label for='data-6c8a950c-7ad0-46de-9da5-a12de70e49be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c995576e-befa-4b0e-8c22-63463e29f2ed' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-c995576e-befa-4b0e-8c22-63463e29f2ed' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li><li><span class='xr-has-index'>plev</span>: 19</li></ul></div></li><li class='xr-section-item'><input id='section-47ce1320-e8d9-45ac-8e5e-c84213588020' class='xr-section-summary-in' type='checkbox' checked /><label for='section-47ce1320-e8d9-45ac-8e5e-c84213588020' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0</div><input id='attrs-52bad942-3d8c-4a48-b2f3-9d8f1cffd44e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-52bad942-3d8c-4a48-b2f3-9d8f1cffd44e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8fac1bec-4ab6-4c70-b1e8-ec5c6f1ba554' class='xr-var-data-in' type='checkbox'><label for='data-8fac1bec-4ab6-4c70-b1e8-ec5c6f1ba554' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-bb9f970f-2eba-48ce-a08c-c3c9f8edb721' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb9f970f-2eba-48ce-a08c-c3c9f8edb721' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37e1d822-dc4f-4a6e-8620-7ff2411ff33f' class='xr-var-data-in' type='checkbox'><label for='data-37e1d822-dc4f-4a6e-8620-7ff2411ff33f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
+       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-fae0381c-2f69-452b-8de6-445893deed7b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fae0381c-2f69-452b-8de6-445893deed7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d8a2e2b-8ae2-4ec8-8faa-730cb9f6ff2e' class='xr-var-data-in' type='checkbox'><label for='data-9d8a2e2b-8ae2-4ec8-8faa-730cb9f6ff2e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
        "       125., 135., 145., 155., 165., 175., 185., 195., 205., 215., 225., 235.,\n",
-       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>plev</span></div><div class='xr-var-dims'>(plev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05 9.25e+04 ... 500.0 100.0</div><input id='attrs-b328f34d-dc93-4989-b384-403f76ff9d2a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b328f34d-dc93-4989-b384-403f76ff9d2a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18ad0c77-c247-4b8a-a26a-51c83a67fa7f' class='xr-var-data-in' type='checkbox'><label for='data-18ad0c77-c247-4b8a-a26a-51c83a67fa7f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>Pressure Levels (19)</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd></dl></div><div class='xr-var-data'><pre>array([100000.,  92500.,  85000.,  70000.,  60000.,  50000.,  40000.,  30000.,\n",
+       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>plev</span></div><div class='xr-var-dims'>(plev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05 9.25e+04 ... 500.0 100.0</div><input id='attrs-b0589542-4921-40cb-b53a-4301e8862593' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0589542-4921-40cb-b53a-4301e8862593' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7dfc7de-b2e5-427f-a1b0-036e8c9d87b8' class='xr-var-data-in' type='checkbox'><label for='data-f7dfc7de-b2e5-427f-a1b0-036e8c9d87b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>Pressure Levels (19)</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd></dl></div><div class='xr-var-data'><pre>array([100000.,  92500.,  85000.,  70000.,  60000.,  50000.,  40000.,  30000.,\n",
        "        25000.,  20000.,  15000.,  10000.,   7000.,   5000.,   3000.,   2000.,\n",
-       "         1000.,    500.,    100.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0bd44bf5-d4f2-407d-9e6e-49232eca90db' class='xr-section-summary-in' type='checkbox' checked /><label for='section-0bd44bf5-d4f2-407d-9e6e-49232eca90db' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0</div><input id='attrs-d20ce4d5-06fc-4e18-b84a-b876d816c39b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d20ce4d5-06fc-4e18-b84a-b876d816c39b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-377c654b-9d9c-4630-8ef1-988fa0d91e57' class='xr-var-data-in' type='checkbox'><label for='data-377c654b-9d9c-4630-8ef1-988fa0d91e57' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
-       "       [30., 60.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-8ad119c2-7014-41b6-aacb-4ebad1cea76f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8ad119c2-7014-41b6-aacb-4ebad1cea76f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5ca9d62-b274-4907-a258-8cb1f6a05ade' class='xr-var-data-in' type='checkbox'><label for='data-e5ca9d62-b274-4907-a258-8cb1f6a05ade' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
+       "         1000.,    500.,    100.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7cedbff0-870c-4f9d-b9a8-a4ce91d7346a' class='xr-section-summary-in' type='checkbox' checked /><label for='section-7cedbff0-870c-4f9d-b9a8-a4ce91d7346a' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0</div><input id='attrs-bded80e4-8db2-4a2d-b1ce-7d4ae7731611' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bded80e4-8db2-4a2d-b1ce-7d4ae7731611' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a37e55f-4aa3-4e31-9a87-1c9f08101753' class='xr-var-data-in' type='checkbox'><label for='data-3a37e55f-4aa3-4e31-9a87-1c9f08101753' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
+       "       [30., 60.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-eb276f82-5b97-4e35-8b87-2f4c926fb968' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-eb276f82-5b97-4e35-8b87-2f4c926fb968' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc81d063-b5a8-447a-b0ca-e7401f90ee79' class='xr-var-data-in' type='checkbox'><label for='data-bc81d063-b5a8-447a-b0ca-e7401f90ee79' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
        "       [-80., -70.],\n",
        "       [-70., -60.],\n",
        "       [-60., -50.],\n",
@@ -798,7 +826,7 @@
        "       [ 50.,  60.],\n",
        "       [ 60.,  70.],\n",
        "       [ 70.,  80.],\n",
-       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-4fdb475c-a810-40e1-8939-5288ecd017eb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4fdb475c-a810-40e1-8939-5288ecd017eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d93bd7cc-afaa-44b7-87df-6be78e08fded' class='xr-var-data-in' type='checkbox'><label for='data-d93bd7cc-afaa-44b7-87df-6be78e08fded' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
+       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-2d5aaed1-eed6-455e-8b84-8cb64166d2d9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2d5aaed1-eed6-455e-8b84-8cb64166d2d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-796ca0f6-f751-46b2-8af0-f20a008917c8' class='xr-var-data-in' type='checkbox'><label for='data-796ca0f6-f751-46b2-8af0-f20a008917c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
        "       [ 10.,  20.],\n",
        "       [ 20.,  30.],\n",
        "       [ 30.,  40.],\n",
@@ -833,7 +861,7 @@
        "       [320., 330.],\n",
        "       [330., 340.],\n",
        "       [340., 350.],\n",
-       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, plev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>251.3 251.2 251.2 ... 31.38 31.41</div><input id='attrs-a39608cd-0325-4833-ad15-c860f309aa08' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a39608cd-0325-4833-ad15-c860f309aa08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7c5d517-3587-42ab-8d72-1e94dc8cc8ae' class='xr-var-data-in' type='checkbox'><label for='data-f7c5d517-3587-42ab-8d72-1e94dc8cc8ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean where air</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[251.26205 , 251.2318  , 251.17216 , ..., 251.17216 ,\n",
+       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, plev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>251.3 251.2 251.2 ... 31.38 31.41</div><input id='attrs-5654f51e-2fc4-4cc1-a899-d16c2956deec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5654f51e-2fc4-4cc1-a899-d16c2956deec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b02cf413-98f1-418b-929a-abe6d66bdc72' class='xr-var-data-in' type='checkbox'><label for='data-b02cf413-98f1-418b-929a-abe6d66bdc72' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean where air</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[251.26205 , 251.2318  , 251.17216 , ..., 251.17216 ,\n",
        "          251.2318  , 251.26205 ],\n",
        "         [253.34074 , 253.31049 , 253.25087 , ..., 253.25087 ,\n",
        "          253.31049 , 253.34074 ],\n",
@@ -873,7 +901,7 @@
        "         [ 33.49258 ,  33.46231 ,  33.402695, ...,  33.402695,\n",
        "           33.46231 ,  33.49258 ],\n",
        "         [ 31.41389 ,  31.383621,  31.324003, ...,  31.324003,\n",
-       "           31.383621,  31.41389 ]]]], shape=(2, 19, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-793410e1-cad8-4ea3-9671-368eabaeb821' class='xr-section-summary-in' type='checkbox' /><label for='section-793410e1-cad8-4ea3-9671-368eabaeb821' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>air</dd><dt><span>branded_variable :</span></dt><dd>ta_tavg-p19-hxy-air</dd><dt><span>branding_suffix :</span></dt><dd>tavg-p19-hxy-air</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T20:52:09Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T20:52:09Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/40ab0d49-419b-4b06-9fae-1f36c819c7bd</dd><dt><span>variable_id :</span></dt><dd>ta</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>p19</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+       "           31.383621,  31.41389 ]]]], shape=(2, 19, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e62cc034-f433-41f0-8793-c0cf03d2776a' class='xr-section-summary-in' type='checkbox' /><label for='section-e62cc034-f433-41f0-8793-c0cf03d2776a' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>air</dd><dt><span>branded_variable :</span></dt><dd>ta_tavg-p19-hxy-air</dd><dt><span>branding_suffix :</span></dt><dd>tavg-p19-hxy-air</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T21:03:01Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T21:03:01Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/2f1643fb-f1b3-4663-8db6-6dd4f30ea310</dd><dt><span>variable_id :</span></dt><dd>ta</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>p19</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 100kB\n",
@@ -895,9 +923,9 @@
        "    area_label:            air\n",
        "    branded_variable:      ta_tavg-p19-hxy-air\n",
        "    branding_suffix:       tavg-p19-hxy-air\n",
-       "    creation_date:         2026-05-29T20:52:09Z\n",
+       "    creation_date:         2026-05-29T21:03:01Z\n",
        "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/40ab0d49-419b-4b06-9fae-1f36c819c7bd\n",
+       "    tracking_id:           hdl:21.14107/2f1643fb-f1b3-4663-8db6-6dd4f30ea310\n",
        "    variable_id:           ta\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        p19\n",
@@ -920,7 +948,14 @@
    "cell_type": "code",
    "execution_count": 5,
    "id": "968c5286",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T21:03:01.494192Z",
+     "iopub.status.busy": "2026-05-29T21:03:01.494091Z",
+     "iopub.status.idle": "2026-05-29T21:03:01.496938Z",
+     "shell.execute_reply": "2026-05-29T21:03:01.496477Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -941,9 +976,9 @@
       "    area_label:            air\n",
       "    branded_variable:      ta_tavg-p19-hxy-air\n",
       "    branding_suffix:       tavg-p19-hxy-air\n",
-      "    creation_date:         2026-05-29T20:52:09Z\n",
+      "    creation_date:         2026-05-29T21:03:01Z\n",
       "    ...                    ...\n",
-      "    tracking_id:           hdl:21.14107/40ab0d49-419b-4b06-9fae-1f36c819c7bd\n",
+      "    tracking_id:           hdl:21.14107/2f1643fb-f1b3-4663-8db6-6dd4f30ea310\n",
       "    variable_id:           ta\n",
       "    variant_label:         r9i1p1f3\n",
       "    vertical_label:        p19\n",
@@ -966,11 +1001,18 @@
    "cell_type": "code",
    "execution_count": 6,
    "id": "917090d2",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T21:03:01.498158Z",
+     "iopub.status.busy": "2026-05-29T21:03:01.498061Z",
+     "iopub.status.idle": "2026-05-29T21:03:01.636486Z",
+     "shell.execute_reply": "2026-05-29T21:03:01.636090Z"
+    }
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1100x540 with 2 Axes>"
       ]
@@ -983,33 +1025,28 @@
     "fig, ax = plt.subplots(figsize=(11, 5.4))\n",
     "map_plot = Basemap(\n",
     "    projection=\"cyl\",\n",
-    "    llcrnrlon=0,\n",
-    "    urcrnrlon=360,\n",
+    "    llcrnrlon=-180,\n",
+    "    urcrnrlon=180,\n",
     "    llcrnrlat=-90,\n",
     "    urcrnrlat=90,\n",
     "    resolution=\"c\",\n",
     "    ax=ax,\n",
     ")\n",
     "map_plot.drawmapboundary(fill_color=\"#f7fbff\", linewidth=0.8)\n",
-    "lon_grid, lat_grid = np.meshgrid(ds[\"lon\"].values, ds[\"lat\"].values)\n",
+    "lon_wrapped = ((ds[\"lon\"].values + 180.0) % 360.0) - 180.0\n",
+    "lon_order = np.argsort(lon_wrapped)\n",
+    "lon_grid, lat_grid = np.meshgrid(lon_wrapped[lon_order], ds[\"lat\"].values)\n",
     "x, y = map_plot(lon_grid, lat_grid)\n",
-    "mesh = map_plot.pcolormesh(x, y, ds[\"ta\"].sel(plev=50000.0).isel(time=0).values, shading=\"auto\", cmap=\"RdYlBu_r\")\n",
+    "field = ds[\"ta\"].sel(plev=50000.0).isel(time=0).values[:, lon_order]\n",
+    "mesh = map_plot.pcolormesh(x, y, field, shading=\"auto\", cmap=\"RdYlBu_r\")\n",
     "map_plot.drawcoastlines(linewidth=0.7, color=\"0.15\")\n",
     "map_plot.drawparallels(np.arange(-90, 91, 30), labels=[1, 0, 0, 0], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
-    "map_plot.drawmeridians(np.arange(0, 361, 60), labels=[0, 0, 0, 1], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
+    "map_plot.drawmeridians(np.arange(-180, 181, 60), labels=[0, 0, 0, 1], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
     "colorbar = map_plot.colorbar(mesh, location=\"right\", pad=\"5%\")\n",
     "colorbar.set_label(\"K\")\n",
     "ax.set_title(\"CMIP7 ta at 500 hPa, first month\")\n",
     "plt.show()\n"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ab40816f-9a4f-47a7-b531-72dcec267619",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
diff --git a/notebooks/04_hybrid_sigma_zfactors.ipynb b/notebooks/04_hybrid_sigma_zfactors.ipynb
index 400c6f35..57238665 100644
--- a/notebooks/04_hybrid_sigma_zfactors.ipynb
+++ b/notebooks/04_hybrid_sigma_zfactors.ipynb
@@ -14,7 +14,14 @@
    "cell_type": "code",
    "execution_count": 1,
    "id": "e502e550",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T21:03:02.542560Z",
+     "iopub.status.busy": "2026-05-29T21:03:02.542399Z",
+     "iopub.status.idle": "2026-05-29T21:03:03.052422Z",
+     "shell.execute_reply": "2026-05-29T21:03:03.051986Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -57,7 +64,14 @@
    "cell_type": "code",
    "execution_count": 2,
    "id": "795d90b2",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T21:03:03.053769Z",
+     "iopub.status.busy": "2026-05-29T21:03:03.053647Z",
+     "iopub.status.idle": "2026-05-29T21:03:03.061984Z",
+     "shell.execute_reply": "2026-05-29T21:03:03.061558Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -141,7 +155,14 @@
    "cell_type": "code",
    "execution_count": 3,
    "id": "08d92b3e",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T21:03:03.063138Z",
+     "iopub.status.busy": "2026-05-29T21:03:03.063066Z",
+     "iopub.status.idle": "2026-05-29T21:03:03.138006Z",
+     "shell.execute_reply": "2026-05-29T21:03:03.137563Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -199,7 +220,14 @@
    "cell_type": "code",
    "execution_count": 4,
    "id": "85b00c73",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T21:03:03.139222Z",
+     "iopub.status.busy": "2026-05-29T21:03:03.139137Z",
+     "iopub.status.idle": "2026-05-29T21:03:03.258258Z",
+     "shell.execute_reply": "2026-05-29T21:03:03.257764Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -772,22 +800,22 @@
        "    area_label:            u\n",
        "    branded_variable:      ta_tavg-al-hxy-u\n",
        "    branding_suffix:       tavg-al-hxy-u\n",
-       "    creation_date:         2026-05-29T20:52:17Z\n",
+       "    creation_date:         2026-05-29T21:03:03Z\n",
        "    ...                    ...\n",
        "    variable_id:           ta\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        al\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
        "    cmor_version:          3.15.1\n",
-       "    tracking_id:           hdl:21.14107/be4ef9b3-f12a-4da0-a12e-96d765fd5754</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-663dfe3a-d25a-4004-a077-e477c847d51b' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-663dfe3a-d25a-4004-a077-e477c847d51b' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lev</span>: 5</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div></li><li class='xr-section-item'><input id='section-b9573394-0b84-4224-bc9f-ee36a29e661b' class='xr-section-summary-in' type='checkbox' checked /><label for='section-b9573394-0b84-4224-bc9f-ee36a29e661b' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0</div><input id='attrs-2b7e0f44-ae29-4948-bf6f-77637c2cf4a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b7e0f44-ae29-4948-bf6f-77637c2cf4a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c910f3bf-1c06-4ad8-b532-581820fc151c' class='xr-var-data-in' type='checkbox'><label for='data-c910f3bf-1c06-4ad8-b532-581820fc151c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.95 0.75 0.5 0.25 0.05</div><input id='attrs-8b3333fd-b98b-4ce0-9f5a-654f1a6d340f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b3333fd-b98b-4ce0-9f5a-654f1a6d340f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a5e6f95-c976-4eb8-90aa-c9c49d02cdb6' class='xr-var-data-in' type='checkbox'><label for='data-9a5e6f95-c976-4eb8-90aa-c9c49d02cdb6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lev_bnds</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>hybrid sigma pressure coordinate</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a b: b ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([0.95, 0.75, 0.5 , 0.25, 0.05])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-8a3c1025-75ca-4dca-8d69-1e504735fbf4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a3c1025-75ca-4dca-8d69-1e504735fbf4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04d02a8a-599e-4731-9888-c880421532c2' class='xr-var-data-in' type='checkbox'><label for='data-04d02a8a-599e-4731-9888-c880421532c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
-       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-a376d55a-c423-429e-aa97-23007bf3fb7a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a376d55a-c423-429e-aa97-23007bf3fb7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3981f15-3b83-4916-a903-984fd39cb2e4' class='xr-var-data-in' type='checkbox'><label for='data-a3981f15-3b83-4916-a903-984fd39cb2e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
+       "    tracking_id:           hdl:21.14107/44812329-06b5-48f1-b68f-5681f1d7007c</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-fc320893-5ada-4318-84eb-81aca5d84ee2' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-fc320893-5ada-4318-84eb-81aca5d84ee2' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lev</span>: 5</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div></li><li class='xr-section-item'><input id='section-d364c8eb-296d-46a0-a1e9-e9df7d9e674d' class='xr-section-summary-in' type='checkbox' checked /><label for='section-d364c8eb-296d-46a0-a1e9-e9df7d9e674d' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0</div><input id='attrs-0c37df58-4651-4c8b-ab8e-e7a4b045fb2e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c37df58-4651-4c8b-ab8e-e7a4b045fb2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c22a866-e997-41c5-969d-97e74050b2d7' class='xr-var-data-in' type='checkbox'><label for='data-8c22a866-e997-41c5-969d-97e74050b2d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.95 0.75 0.5 0.25 0.05</div><input id='attrs-ecaf7bf2-0df4-4654-8bbb-4a14a417003e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ecaf7bf2-0df4-4654-8bbb-4a14a417003e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f81398b-9310-4d7f-a15c-093e1d6028d1' class='xr-var-data-in' type='checkbox'><label for='data-2f81398b-9310-4d7f-a15c-093e1d6028d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lev_bnds</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>hybrid sigma pressure coordinate</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a b: b ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([0.95, 0.75, 0.5 , 0.25, 0.05])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-936f4b56-1432-441f-901d-1f55a9c335d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-936f4b56-1432-441f-901d-1f55a9c335d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24ace385-f8d1-457e-ae36-29ca4d047deb' class='xr-var-data-in' type='checkbox'><label for='data-24ace385-f8d1-457e-ae36-29ca4d047deb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
+       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-6257498d-8e27-4169-8267-740cae2b4747' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6257498d-8e27-4169-8267-740cae2b4747' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91017620-1e7a-4abc-944f-b8fce44d4da6' class='xr-var-data-in' type='checkbox'><label for='data-91017620-1e7a-4abc-944f-b8fce44d4da6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
        "       125., 135., 145., 155., 165., 175., 185., 195., 205., 215., 225., 235.,\n",
-       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e6775baf-7458-4ab7-b7b0-8634130ccf4b' class='xr-section-summary-in' type='checkbox' checked /><label for='section-e6775baf-7458-4ab7-b7b0-8634130ccf4b' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0</div><input id='attrs-649856cb-5585-4632-ab3f-a083b95bedc6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-649856cb-5585-4632-ab3f-a083b95bedc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6280adcc-efe6-45d2-8182-161477850320' class='xr-var-data-in' type='checkbox'><label for='data-6280adcc-efe6-45d2-8182-161477850320' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
-       "       [30., 60.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lev_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.85 0.85 ... 0.125 0.125 0.0</div><input id='attrs-bc36dca4-ad0e-4fb7-b2f5-ba5ccf2843f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc36dca4-ad0e-4fb7-b2f5-ba5ccf2843f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9137154-38d9-4844-ba94-27bd06e688aa' class='xr-var-data-in' type='checkbox'><label for='data-b9137154-38d9-4844-ba94-27bd06e688aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a_bnds b: b_bnds ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([[1.   , 0.85 ],\n",
+       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1490fec0-5517-4f75-a051-3314c951789b' class='xr-section-summary-in' type='checkbox' checked /><label for='section-1490fec0-5517-4f75-a051-3314c951789b' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0</div><input id='attrs-58f7e0a1-9dba-486a-ac39-826244cef186' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-58f7e0a1-9dba-486a-ac39-826244cef186' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f62fd40-8f14-49ca-9ffc-32bb53972e7d' class='xr-var-data-in' type='checkbox'><label for='data-5f62fd40-8f14-49ca-9ffc-32bb53972e7d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
+       "       [30., 60.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lev_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.85 0.85 ... 0.125 0.125 0.0</div><input id='attrs-56567068-450b-450c-9e20-80fec3691341' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56567068-450b-450c-9e20-80fec3691341' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fe81746-75f1-4a67-bcf7-f0059a494cba' class='xr-var-data-in' type='checkbox'><label for='data-3fe81746-75f1-4a67-bcf7-f0059a494cba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a_bnds b: b_bnds ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([[1.   , 0.85 ],\n",
        "       [0.85 , 0.625],\n",
        "       [0.625, 0.375],\n",
        "       [0.375, 0.125],\n",
-       "       [0.125, 0.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p0</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05</div><input id='attrs-1c6cc620-37e7-45b2-b975-463da95a00cf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c6cc620-37e7-45b2-b975-463da95a00cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0317b872-a3f2-4552-9b9e-6219e0d22513' class='xr-var-data-in' type='checkbox'><label for='data-0317b872-a3f2-4552-9b9e-6219e0d22513' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>reference_air_pressure_for_atmosphere_vertical_coordinate</dd><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: reference pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array(100000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.02 0.05 0.1 0.2 0.35</div><input id='attrs-88053dc6-ee74-482b-a6ca-5d39e4e6b8c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88053dc6-ee74-482b-a6ca-5d39e4e6b8c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa3a33b4-aede-4511-8246-13686f5d6184' class='xr-var-data-in' type='checkbox'><label for='data-fa3a33b4-aede-4511-8246-13686f5d6184' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a</dd></dl></div><div class='xr-var-data'><pre>array([0.02, 0.05, 0.1 , 0.2 , 0.35])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9 0.7 0.45 0.2 0.03</div><input id='attrs-34b9d83d-345e-4a7f-bc5d-1d2956fcdf0c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34b9d83d-345e-4a7f-bc5d-1d2956fcdf0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a4c236a-6af6-4697-b459-93ad434cc357' class='xr-var-data-in' type='checkbox'><label for='data-1a4c236a-6af6-4697-b459-93ad434cc357' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b</dd></dl></div><div class='xr-var-data'><pre>array([0.9 , 0.7 , 0.45, 0.2 , 0.03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ps</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>8.639e+04 8.638e+04 ... 8.654e+04</div><input id='attrs-b8af1688-bb79-46f9-b769-eac1b70e80bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b8af1688-bb79-46f9-b769-eac1b70e80bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed171df2-54d5-4928-877e-3c22ba7ac217' class='xr-var-data-in' type='checkbox'><label for='data-ed171df2-54d5-4928-877e-3c22ba7ac217' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>long_name :</span></dt><dd>Surface Air Pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array([[[86390.016, 86380.93 , 86363.05 , ..., 86363.05 , 86380.93 ,\n",
+       "       [0.125, 0.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p0</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05</div><input id='attrs-cc24ab45-632e-4072-be10-a1e7ce67477f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc24ab45-632e-4072-be10-a1e7ce67477f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e6c3cf0-0b6b-4725-b86c-e27d80d9598e' class='xr-var-data-in' type='checkbox'><label for='data-1e6c3cf0-0b6b-4725-b86c-e27d80d9598e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>reference_air_pressure_for_atmosphere_vertical_coordinate</dd><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: reference pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array(100000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.02 0.05 0.1 0.2 0.35</div><input id='attrs-be2478b9-f43b-44d0-9d39-352b4a015ba7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be2478b9-f43b-44d0-9d39-352b4a015ba7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea5cebca-8a00-4703-b9b8-d84551df0c8e' class='xr-var-data-in' type='checkbox'><label for='data-ea5cebca-8a00-4703-b9b8-d84551df0c8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a</dd></dl></div><div class='xr-var-data'><pre>array([0.02, 0.05, 0.1 , 0.2 , 0.35])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9 0.7 0.45 0.2 0.03</div><input id='attrs-62226403-173f-4bc8-9016-c686f520c09f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62226403-173f-4bc8-9016-c686f520c09f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-219fe73d-23c2-4558-a95e-a37cc69969bf' class='xr-var-data-in' type='checkbox'><label for='data-219fe73d-23c2-4558-a95e-a37cc69969bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b</dd></dl></div><div class='xr-var-data'><pre>array([0.9 , 0.7 , 0.45, 0.2 , 0.03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ps</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>8.639e+04 8.638e+04 ... 8.654e+04</div><input id='attrs-b7018c3c-9ec7-4b5e-b54a-24aaa15197e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b7018c3c-9ec7-4b5e-b54a-24aaa15197e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e47588f2-8fd1-4e54-98b8-b6ca1a584166' class='xr-var-data-in' type='checkbox'><label for='data-e47588f2-8fd1-4e54-98b8-b6ca1a584166' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>long_name :</span></dt><dd>Surface Air Pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array([[[86390.016, 86380.93 , 86363.05 , ..., 86363.05 , 86380.93 ,\n",
        "         86390.016],\n",
        "        [87102.7  , 87093.625, 87075.74 , ..., 87075.74 , 87093.625,\n",
        "         87102.7  ],\n",
@@ -813,15 +841,15 @@
        "        [87252.7  , 87243.625, 87225.74 , ..., 87225.74 , 87243.625,\n",
        "         87252.7  ],\n",
        "        [86540.016, 86530.93 , 86513.05 , ..., 86513.05 , 86530.93 ,\n",
-       "         86540.016]]], shape=(2, 18, 36), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.035 0.035 ... 0.275 0.45</div><input id='attrs-5d0e7a26-11cf-475b-be49-a1bae3ccb3e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d0e7a26-11cf-475b-be49-a1bae3ccb3e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b402910-ac0f-4a9f-aa17-73a0c8002d19' class='xr-var-data-in' type='checkbox'><label for='data-0b402910-ac0f-4a9f-aa17-73a0c8002d19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[0.   , 0.035],\n",
+       "         86540.016]]], shape=(2, 18, 36), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.035 0.035 ... 0.275 0.45</div><input id='attrs-335b485e-ce9e-4f67-b883-0f325258028f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-335b485e-ce9e-4f67-b883-0f325258028f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29044911-1d65-414b-84e8-fe5cf7b35128' class='xr-var-data-in' type='checkbox'><label for='data-29044911-1d65-414b-84e8-fe5cf7b35128' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[0.   , 0.035],\n",
        "       [0.035, 0.075],\n",
        "       [0.075, 0.15 ],\n",
        "       [0.15 , 0.275],\n",
-       "       [0.275, 0.45 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.8 0.8 ... 0.115 0.115 0.0</div><input id='attrs-9182ddd2-8839-4594-8630-76b998ec9874' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9182ddd2-8839-4594-8630-76b998ec9874' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df60dada-52f8-4887-a06b-cd5f939fae03' class='xr-var-data-in' type='checkbox'><label for='data-df60dada-52f8-4887-a06b-cd5f939fae03' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[1.   , 0.8  ],\n",
+       "       [0.275, 0.45 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.8 0.8 ... 0.115 0.115 0.0</div><input id='attrs-a6850c3b-6b1b-423d-b4c4-eedc0ea70601' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6850c3b-6b1b-423d-b4c4-eedc0ea70601' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86baec80-45fb-412c-b899-0a3d72222776' class='xr-var-data-in' type='checkbox'><label for='data-86baec80-45fb-412c-b899-0a3d72222776' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[1.   , 0.8  ],\n",
        "       [0.8  , 0.575],\n",
        "       [0.575, 0.325],\n",
        "       [0.325, 0.115],\n",
-       "       [0.115, 0.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-63480391-0082-4772-a688-51c0bc8ab33b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-63480391-0082-4772-a688-51c0bc8ab33b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f145e5b-1262-467c-adb0-ae7551091f31' class='xr-var-data-in' type='checkbox'><label for='data-3f145e5b-1262-467c-adb0-ae7551091f31' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
+       "       [0.115, 0.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-d39de839-da7d-445a-9982-fe8b2c865042' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d39de839-da7d-445a-9982-fe8b2c865042' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be0d78e4-dad9-4347-879f-b9f33bd2cf07' class='xr-var-data-in' type='checkbox'><label for='data-be0d78e4-dad9-4347-879f-b9f33bd2cf07' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
        "       [-80., -70.],\n",
        "       [-70., -60.],\n",
        "       [-60., -50.],\n",
@@ -838,7 +866,7 @@
        "       [ 50.,  60.],\n",
        "       [ 60.,  70.],\n",
        "       [ 70.,  80.],\n",
-       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-aaf410c5-eacb-4b15-8be1-18c7ce8ccad8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-aaf410c5-eacb-4b15-8be1-18c7ce8ccad8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee8d45e5-9bb7-4560-9bd4-be5f67473e4f' class='xr-var-data-in' type='checkbox'><label for='data-ee8d45e5-9bb7-4560-9bd4-be5f67473e4f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
+       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-7e43c501-518a-4b09-82bd-c368df7986fc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7e43c501-518a-4b09-82bd-c368df7986fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a70a3488-8afc-4304-8bcc-9b10a2cc2599' class='xr-var-data-in' type='checkbox'><label for='data-a70a3488-8afc-4304-8bcc-9b10a2cc2599' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
        "       [ 10.,  20.],\n",
        "       [ 20.,  30.],\n",
        "       [ 30.,  40.],\n",
@@ -873,7 +901,7 @@
        "       [320., 330.],\n",
        "       [330., 340.],\n",
        "       [340., 350.],\n",
-       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>258.5 258.4 258.4 ... 209.9 210.0</div><input id='attrs-d7741de6-5119-485e-914f-e7a8b1deaa68' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7741de6-5119-485e-914f-e7a8b1deaa68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3dc81071-4884-4d1d-8c7d-3fc53e6b7354' class='xr-var-data-in' type='checkbox'><label for='data-3dc81071-4884-4d1d-8c7d-3fc53e6b7354' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[258.4741 , 258.44382, 258.3842 , ..., 258.3842 , 258.44382,\n",
+       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>258.5 258.4 258.4 ... 209.9 210.0</div><input id='attrs-4223074e-17b6-4b31-9503-0dd88e1ec553' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4223074e-17b6-4b31-9503-0dd88e1ec553' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-069eaf67-260a-491a-8d82-a7bc3dd8fee1' class='xr-var-data-in' type='checkbox'><label for='data-069eaf67-260a-491a-8d82-a7bc3dd8fee1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[258.4741 , 258.44382, 258.3842 , ..., 258.3842 , 258.44382,\n",
        "          258.4741 ],\n",
        "         [260.25583, 260.22556, 260.16592, ..., 260.16592, 260.22556,\n",
        "          260.25583],\n",
@@ -913,7 +941,7 @@
        "         [211.75581, 211.72554, 211.66592, ..., 211.66592, 211.72554,\n",
        "          211.75581],\n",
        "         [209.97408, 209.94382, 209.88419, ..., 209.88419, 209.94382,\n",
-       "          209.97408]]]], shape=(2, 5, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d7ea34cb-4efd-4bd8-b728-891637b9ec04' class='xr-section-summary-in' type='checkbox' /><label for='section-d7ea34cb-4efd-4bd8-b728-891637b9ec04' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>ta_tavg-al-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-al-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T20:52:17Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T20:52:17Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>variable_id :</span></dt><dd>ta</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>al</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/be4ef9b3-f12a-4da0-a12e-96d765fd5754</dd></dl></div></li></ul></div></div>"
+       "          209.97408]]]], shape=(2, 5, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f94090f8-7a26-4456-af5d-9177165a102e' class='xr-section-summary-in' type='checkbox' /><label for='section-f94090f8-7a26-4456-af5d-9177165a102e' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>ta_tavg-al-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-al-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T21:03:03Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T21:03:03Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>variable_id :</span></dt><dd>ta</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>al</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/44812329-06b5-48f1-b68f-5681f1d7007c</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 33kB\n",
@@ -942,14 +970,14 @@
        "    area_label:            u\n",
        "    branded_variable:      ta_tavg-al-hxy-u\n",
        "    branding_suffix:       tavg-al-hxy-u\n",
-       "    creation_date:         2026-05-29T20:52:17Z\n",
+       "    creation_date:         2026-05-29T21:03:03Z\n",
        "    ...                    ...\n",
        "    variable_id:           ta\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        al\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
        "    cmor_version:          3.15.1\n",
-       "    tracking_id:           hdl:21.14107/be4ef9b3-f12a-4da0-a12e-96d765fd5754"
+       "    tracking_id:           hdl:21.14107/44812329-06b5-48f1-b68f-5681f1d7007c"
       ]
      },
      "execution_count": 4,
@@ -967,7 +995,14 @@
    "cell_type": "code",
    "execution_count": 5,
    "id": "778254c2",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T21:03:03.259513Z",
+     "iopub.status.busy": "2026-05-29T21:03:03.259421Z",
+     "iopub.status.idle": "2026-05-29T21:03:03.262499Z",
+     "shell.execute_reply": "2026-05-29T21:03:03.262067Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -992,14 +1027,14 @@
       "    area_label:            u\n",
       "    branded_variable:      ta_tavg-al-hxy-u\n",
       "    branding_suffix:       tavg-al-hxy-u\n",
-      "    creation_date:         2026-05-29T20:52:17Z\n",
+      "    creation_date:         2026-05-29T21:03:03Z\n",
       "    ...                    ...\n",
       "    variable_id:           ta\n",
       "    variant_label:         r9i1p1f3\n",
       "    vertical_label:        al\n",
       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
       "    cmor_version:          3.15.1\n",
-      "    tracking_id:           hdl:21.14107/be4ef9b3-f12a-4da0-a12e-96d765fd5754\n",
+      "    tracking_id:           hdl:21.14107/44812329-06b5-48f1-b68f-5681f1d7007c\n",
       "lev formula_terms: p0: p0 a: a b: b ps: ps\n",
       "lev formula: p = a*p0 + b*ps\n"
      ]
@@ -1015,11 +1050,18 @@
    "cell_type": "code",
    "execution_count": 6,
    "id": "07c200fc",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T21:03:03.263613Z",
+     "iopub.status.busy": "2026-05-29T21:03:03.263537Z",
+     "iopub.status.idle": "2026-05-29T21:03:03.399534Z",
+     "shell.execute_reply": "2026-05-29T21:03:03.399108Z"
+    }
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1100x540 with 2 Axes>"
       ]
@@ -1032,33 +1074,28 @@
     "fig, ax = plt.subplots(figsize=(11, 5.4))\n",
     "map_plot = Basemap(\n",
     "    projection=\"cyl\",\n",
-    "    llcrnrlon=0,\n",
-    "    urcrnrlon=360,\n",
+    "    llcrnrlon=-180,\n",
+    "    urcrnrlon=180,\n",
     "    llcrnrlat=-90,\n",
     "    urcrnrlat=90,\n",
     "    resolution=\"c\",\n",
     "    ax=ax,\n",
     ")\n",
     "map_plot.drawmapboundary(fill_color=\"#f7fbff\", linewidth=0.8)\n",
-    "lon_grid, lat_grid = np.meshgrid(ds[\"lon\"].values, ds[\"lat\"].values)\n",
+    "lon_wrapped = ((ds[\"lon\"].values + 180.0) % 360.0) - 180.0\n",
+    "lon_order = np.argsort(lon_wrapped)\n",
+    "lon_grid, lat_grid = np.meshgrid(lon_wrapped[lon_order], ds[\"lat\"].values)\n",
     "x, y = map_plot(lon_grid, lat_grid)\n",
-    "mesh = map_plot.pcolormesh(x, y, ds[\"ta\"].isel(time=0, lev=2).values, shading=\"auto\", cmap=\"RdYlBu_r\")\n",
+    "field = ds[\"ta\"].isel(time=0, lev=2).values[:, lon_order]\n",
+    "mesh = map_plot.pcolormesh(x, y, field, shading=\"auto\", cmap=\"RdYlBu_r\")\n",
     "map_plot.drawcoastlines(linewidth=0.7, color=\"0.15\")\n",
     "map_plot.drawparallels(np.arange(-90, 91, 30), labels=[1, 0, 0, 0], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
-    "map_plot.drawmeridians(np.arange(0, 361, 60), labels=[0, 0, 0, 1], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
+    "map_plot.drawmeridians(np.arange(-180, 181, 60), labels=[0, 0, 0, 1], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
     "colorbar = map_plot.colorbar(mesh, location=\"right\", pad=\"5%\")\n",
     "colorbar.set_label(\"K\")\n",
     "ax.set_title(\"CMIP7 ta on hybrid level 3, first month\")\n",
     "plt.show()\n"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "89b8c137-8417-4d4e-ac65-8495f5cf6117",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
diff --git a/notebooks/05_curvilinear_ocean_grid.ipynb b/notebooks/05_curvilinear_ocean_grid.ipynb
index 6123d368..24778dd4 100644
--- a/notebooks/05_curvilinear_ocean_grid.ipynb
+++ b/notebooks/05_curvilinear_ocean_grid.ipynb
@@ -14,7 +14,14 @@
    "cell_type": "code",
    "execution_count": 1,
    "id": "b1ff03ee",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T21:06:56.313566Z",
+     "iopub.status.busy": "2026-05-29T21:06:56.313417Z",
+     "iopub.status.idle": "2026-05-29T21:06:56.807862Z",
+     "shell.execute_reply": "2026-05-29T21:06:56.807347Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -57,7 +64,14 @@
    "cell_type": "code",
    "execution_count": 2,
    "id": "88d6766e",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T21:06:56.809284Z",
+     "iopub.status.busy": "2026-05-29T21:06:56.809150Z",
+     "iopub.status.idle": "2026-05-29T21:06:56.828287Z",
+     "shell.execute_reply": "2026-05-29T21:06:56.827955Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -153,7 +167,14 @@
    "cell_type": "code",
    "execution_count": 3,
    "id": "ab381eda",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T21:06:56.829512Z",
+     "iopub.status.busy": "2026-05-29T21:06:56.829424Z",
+     "iopub.status.idle": "2026-05-29T21:06:56.900197Z",
+     "shell.execute_reply": "2026-05-29T21:06:56.899905Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -216,7 +237,14 @@
    "cell_type": "code",
    "execution_count": 4,
    "id": "98246667",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T21:06:56.901486Z",
+     "iopub.status.busy": "2026-05-29T21:06:56.901412Z",
+     "iopub.status.idle": "2026-05-29T21:06:57.022397Z",
+     "shell.execute_reply": "2026-05-29T21:06:57.021922Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -783,17 +811,17 @@
        "    area_label:            sea\n",
        "    branded_variable:      tos_tavg-u-hxy-sea\n",
        "    branding_suffix:       tavg-u-hxy-sea\n",
-       "    creation_date:         2026-05-29T20:52:24Z\n",
+       "    creation_date:         2026-05-29T21:06:56Z\n",
        "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/d447abe6-562d-4d3c-ba60-68df986e4032\n",
+       "    tracking_id:           hdl:21.14107/38ff9c87-a3cb-4e4a-8134-c907dee93258\n",
        "    variable_id:           tos\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-bbb50aee-3435-4984-8fc5-818bdd3467d3' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-bbb50aee-3435-4984-8fc5-818bdd3467d3' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>y</span>: 18</li><li><span class='xr-has-index'>x</span>: 36</li><li><span>vertices</span>: 4</li></ul></div></li><li class='xr-section-item'><input id='section-8a002a9f-dbe4-4e94-b511-bb2eba2540a4' class='xr-section-summary-in' type='checkbox' checked /><label for='section-8a002a9f-dbe4-4e94-b511-bb2eba2540a4' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0</div><input id='attrs-d7485645-86ba-4f6a-9df5-ddef4a0b4d90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7485645-86ba-4f6a-9df5-ddef4a0b4d90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ad29a3b-808f-4a52-a91e-dd6f03c33aab' class='xr-var-data-in' type='checkbox'><label for='data-6ad29a3b-808f-4a52-a91e-dd6f03c33aab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 15.0 16.0 17.0</div><input id='attrs-da9894c5-5132-431c-b863-2aba3c6e223b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da9894c5-5132-431c-b863-2aba3c6e223b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c223ea3-44ea-41a0-9e21-ae76bd3f6714' class='xr-var-data-in' type='checkbox'><label for='data-0c223ea3-44ea-41a0-9e21-ae76bd3f6714' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
-       "       14., 15., 16., 17.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 33.0 34.0 35.0</div><input id='attrs-de382d48-0e9b-40be-a5b8-e1cdc7aca2f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de382d48-0e9b-40be-a5b8-e1cdc7aca2f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21151a27-59fe-4233-91e4-9b479790afbb' class='xr-var-data-in' type='checkbox'><label for='data-21151a27-59fe-4233-91e4-9b479790afbb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-4e7280d6-7a0b-455a-878b-567822f5452a' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-4e7280d6-7a0b-455a-878b-567822f5452a' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>y</span>: 18</li><li><span class='xr-has-index'>x</span>: 36</li><li><span>vertices</span>: 4</li></ul></div></li><li class='xr-section-item'><input id='section-8f5bdd03-0165-43b3-b2ea-c6c67e9e3c10' class='xr-section-summary-in' type='checkbox' checked /><label for='section-8f5bdd03-0165-43b3-b2ea-c6c67e9e3c10' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0</div><input id='attrs-baf3fa0d-39a2-405b-8db4-a833cd6f5577' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-baf3fa0d-39a2-405b-8db4-a833cd6f5577' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fbe282d6-a0a5-4fad-8c37-c091a83c7cf9' class='xr-var-data-in' type='checkbox'><label for='data-fbe282d6-a0a5-4fad-8c37-c091a83c7cf9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 15.0 16.0 17.0</div><input id='attrs-d193d6e6-c22c-449d-8c9e-17cbbc69394c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d193d6e6-c22c-449d-8c9e-17cbbc69394c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f23c90e-f859-4734-a69a-21878e611a35' class='xr-var-data-in' type='checkbox'><label for='data-9f23c90e-f859-4734-a69a-21878e611a35' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
+       "       14., 15., 16., 17.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 33.0 34.0 35.0</div><input id='attrs-491758ea-73eb-441a-b0db-ff50f0847e8b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-491758ea-73eb-441a-b0db-ff50f0847e8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-556ae738-3958-4e62-8c8c-8964929fed8d' class='xr-var-data-in' type='checkbox'><label for='data-556ae738-3958-4e62-8c8c-8964929fed8d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
        "       14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27.,\n",
-       "       28., 29., 30., 31., 32., 33., 34., 35.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-84.99 -84.97 ... 84.97 84.99</div><input id='attrs-b1a69172-743b-47c3-bd84-8f92cac8af77' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1a69172-743b-47c3-bd84-8f92cac8af77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e6b4559-1996-422f-877a-d3accf26d6d1' class='xr-var-data-in' type='checkbox'><label for='data-3e6b4559-1996-422f-877a-d3accf26d6d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>bounds :</span></dt><dd>vertices_latitude</dd></dl></div><div class='xr-var-data'><pre>array([[-84.98860581, -84.96616365, -84.94474959, -84.92501428,\n",
+       "       28., 29., 30., 31., 32., 33., 34., 35.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-84.99 -84.97 ... 84.97 84.99</div><input id='attrs-3ab62514-3df4-489e-a426-a08996564368' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ab62514-3df4-489e-a426-a08996564368' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-010eda9b-5ad2-4fd4-9571-42f2f3d6f01b' class='xr-var-data-in' type='checkbox'><label for='data-010eda9b-5ad2-4fd4-9571-42f2f3d6f01b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>bounds :</span></dt><dd>vertices_latitude</dd></dl></div><div class='xr-var-data'><pre>array([[-84.98860581, -84.96616365, -84.94474959, -84.92501428,\n",
        "        -84.90755737, -84.89290929, -84.88151511, -84.87372103,\n",
        "        -84.86976387, -84.86976387, -84.87372103, -84.88151511,\n",
        "        -84.89290929, -84.90755737, -84.92501428, -84.94474959,\n",
@@ -833,7 +861,7 @@
        "         84.94474959,  84.92501428,  84.90755737,  84.89290929,\n",
        "         84.88151511,  84.87372103,  84.86976387,  84.86976387,\n",
        "         84.87372103,  84.88151511,  84.89290929,  84.90755737,\n",
-       "         84.92501428,  84.94474959,  84.96616365,  84.98860581]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.506 13.51 23.51 ... 346.5 356.5</div><input id='attrs-a00be592-cd2f-4e29-8fab-d58d7cc876c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a00be592-cd2f-4e29-8fab-d58d7cc876c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0600d35-f2ee-4e96-8c3b-69c40adc0c42' class='xr-var-data-in' type='checkbox'><label for='data-e0600d35-f2ee-4e96-8c3b-69c40adc0c42' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>bounds :</span></dt><dd>vertices_longitude</dd></dl></div><div class='xr-var-data'><pre>array([[  3.50570795,  13.50570795,  23.50570795,  33.50570795,\n",
+       "         84.92501428,  84.94474959,  84.96616365,  84.98860581]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.506 13.51 23.51 ... 346.5 356.5</div><input id='attrs-70b6bb0b-4d4f-4c78-8e49-7298c0016410' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70b6bb0b-4d4f-4c78-8e49-7298c0016410' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-980b3805-4db9-4890-a854-cab8d6a0a3f6' class='xr-var-data-in' type='checkbox'><label for='data-980b3805-4db9-4890-a854-cab8d6a0a3f6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>bounds :</span></dt><dd>vertices_longitude</dd></dl></div><div class='xr-var-data'><pre>array([[  3.50570795,  13.50570795,  23.50570795,  33.50570795,\n",
        "         43.50570795,  53.50570795,  63.50570795,  73.50570795,\n",
        "         83.50570795,  93.50570795, 103.50570795, 113.50570795,\n",
        "        123.50570795, 133.50570795, 143.50570795, 153.50570795,\n",
@@ -873,8 +901,8 @@
        "        206.49429205, 216.49429205, 226.49429205, 236.49429205,\n",
        "        246.49429205, 256.49429205, 266.49429205, 276.49429205,\n",
        "        286.49429205, 296.49429205, 306.49429205, 316.49429205,\n",
-       "        326.49429205, 336.49429205, 346.49429205, 356.49429205]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a1e2f417-15ca-4e60-8ed1-0ab368487e49' class='xr-section-summary-in' type='checkbox' checked /><label for='section-a1e2f417-15ca-4e60-8ed1-0ab368487e49' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0</div><input id='attrs-db52dcbc-39ae-42bb-a807-3acd383e5ff0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-db52dcbc-39ae-42bb-a807-3acd383e5ff0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d9aa9d7-c233-4a5b-98d0-b757e474f266' class='xr-var-data-in' type='checkbox'><label for='data-9d9aa9d7-c233-4a5b-98d0-b757e474f266' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
-       "       [30., 60.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_latitude</span></div><div class='xr-var-dims'>(y, x, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -90.0 -79.95 ... 90.0 90.0</div><input id='attrs-5865b528-e818-4c53-bbe6-34c04d889766' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5865b528-e818-4c53-bbe6-34c04d889766' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13fc5c45-4f1a-477b-ace0-ddd2dee298a2' class='xr-var-data-in' type='checkbox'><label for='data-13fc5c45-4f1a-477b-ace0-ddd2dee298a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[[-90.        , -90.        , -79.95476947, -80.        ],\n",
+       "        326.49429205, 336.49429205, 346.49429205, 356.49429205]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e06ade78-7429-4716-a26c-fdd0e0f81cbc' class='xr-section-summary-in' type='checkbox' checked /><label for='section-e06ade78-7429-4716-a26c-fdd0e0f81cbc' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0</div><input id='attrs-a12452b4-83a5-4ead-b8ee-0b704af1fc49' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a12452b4-83a5-4ead-b8ee-0b704af1fc49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5819551e-10af-46ec-9075-9750c3b03ab8' class='xr-var-data-in' type='checkbox'><label for='data-5819551e-10af-46ec-9075-9750c3b03ab8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
+       "       [30., 60.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_latitude</span></div><div class='xr-var-dims'>(y, x, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -90.0 -79.95 ... 90.0 90.0</div><input id='attrs-ca6f9b0f-8c58-4900-9dd0-b7a3029d869f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca6f9b0f-8c58-4900-9dd0-b7a3029d869f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d855373c-098f-47c6-82c3-e8c6459a4ede' class='xr-var-data-in' type='checkbox'><label for='data-d855373c-098f-47c6-82c3-e8c6459a4ede' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[[-90.        , -90.        , -79.95476947, -80.        ],\n",
        "        [-90.        , -90.        , -79.91091324, -79.95476947],\n",
        "        [-90.        , -90.        , -79.86976387, -79.91091324],\n",
        "        ...,\n",
@@ -914,7 +942,7 @@
        "        [ 79.86976387,  79.91091324,  90.        ,  90.        ],\n",
        "        [ 79.91091324,  79.95476947,  90.        ,  90.        ],\n",
        "        [ 79.95476947,  80.        ,  90.        ,  90.        ]]],\n",
-       "      shape=(18, 36, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_longitude</span></div><div class='xr-var-dims'>(y, x, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>358.5 8.5 8.523 ... 1.477 1.5 351.5</div><input id='attrs-abedaf83-92a5-434b-82c1-93878b25954d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-abedaf83-92a5-434b-82c1-93878b25954d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ef1940c-bcc7-4142-958d-5ae4db4f62ca' class='xr-var-data-in' type='checkbox'><label for='data-8ef1940c-bcc7-4142-958d-5ae4db4f62ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[[358.5       ,   8.5       ,   8.52278837, 358.52278837],\n",
+       "      shape=(18, 36, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_longitude</span></div><div class='xr-var-dims'>(y, x, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>358.5 8.5 8.523 ... 1.477 1.5 351.5</div><input id='attrs-31566627-bbed-4899-8e03-504db7eff8c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31566627-bbed-4899-8e03-504db7eff8c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91e74e02-6e57-4320-a407-b0826f08fca4' class='xr-var-data-in' type='checkbox'><label for='data-91e74e02-6e57-4320-a407-b0826f08fca4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[[358.5       ,   8.5       ,   8.52278837, 358.52278837],\n",
        "        [  8.5       ,  18.5       ,  18.52278837,   8.52278837],\n",
        "        [ 18.5       ,  28.5       ,  28.52278837,  18.52278837],\n",
        "        ...,\n",
@@ -954,7 +982,7 @@
        "        [331.47721163, 341.47721163, 341.5       , 331.5       ],\n",
        "        [341.47721163, 351.47721163, 351.5       , 341.5       ],\n",
        "        [351.47721163,   1.47721163,   1.5       , 351.5       ]]],\n",
-       "      shape=(18, 36, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-8.312 -8.349 ... -7.549 -7.512</div><input id='attrs-05b94d59-d1cf-4844-9293-65a18f0f0bd5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05b94d59-d1cf-4844-9293-65a18f0f0bd5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ee500a1-9f4e-4393-b41c-f5287fde9b48' class='xr-var-data-in' type='checkbox'><label for='data-8ee500a1-9f4e-4393-b41c-f5287fde9b48' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd></dl></div><div class='xr-var-data'><pre>array([[[-8.312039 , -8.349005 , -8.430357 , ..., -8.471792 ,\n",
+       "      shape=(18, 36, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-8.312 -8.349 ... -7.549 -7.512</div><input id='attrs-f01a9364-fe97-4fc1-99d7-758e9892d4ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f01a9364-fe97-4fc1-99d7-758e9892d4ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bbdb5dd7-3115-4d89-a864-d819e97cef84' class='xr-var-data-in' type='checkbox'><label for='data-bbdb5dd7-3115-4d89-a864-d819e97cef84' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd></dl></div><div class='xr-var-data'><pre>array([[[-8.312039 , -8.349005 , -8.430357 , ..., -8.471792 ,\n",
        "         -8.37438  , -8.320584 ],\n",
        "        [-6.820808 , -6.8450875, -6.914289 , ..., -7.0179367,\n",
        "         -6.9085636, -6.842183 ],\n",
@@ -980,7 +1008,7 @@
        "        [-6.0421834, -6.1085634, -6.217937 , ..., -6.1142893,\n",
        "         -6.0450873, -6.020808 ],\n",
        "        [-7.5205846, -7.57438  , -7.671792 , ..., -7.6303573,\n",
-       "         -7.5490046, -7.5120397]]], shape=(2, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7f69e242-f2cd-4347-955e-704e5ac58f13' class='xr-section-summary-in' type='checkbox' /><label for='section-7f69e242-f2cd-4347-955e-704e5ac58f13' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>tos_tavg-u-hxy-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-sea</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T20:52:24Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacello</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T20:52:24Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/d447abe6-562d-4d3c-ba60-68df986e4032</dd><dt><span>variable_id :</span></dt><dd>tos</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+       "         -7.5490046, -7.5120397]]], shape=(2, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2ebba088-b2c2-438c-9472-58ccb233cdba' class='xr-section-summary-in' type='checkbox' /><label for='section-2ebba088-b2c2-438c-9472-58ccb233cdba' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>tos_tavg-u-hxy-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-sea</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T21:06:56Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacello</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T21:06:56Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/38ff9c87-a3cb-4e4a-8134-c907dee93258</dd><dt><span>variable_id :</span></dt><dd>tos</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 58kB\n",
@@ -1003,9 +1031,9 @@
        "    area_label:            sea\n",
        "    branded_variable:      tos_tavg-u-hxy-sea\n",
        "    branding_suffix:       tavg-u-hxy-sea\n",
-       "    creation_date:         2026-05-29T20:52:24Z\n",
+       "    creation_date:         2026-05-29T21:06:56Z\n",
        "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/d447abe6-562d-4d3c-ba60-68df986e4032\n",
+       "    tracking_id:           hdl:21.14107/38ff9c87-a3cb-4e4a-8134-c907dee93258\n",
        "    variable_id:           tos\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
@@ -1028,7 +1056,14 @@
    "cell_type": "code",
    "execution_count": 5,
    "id": "cb58c0ef",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T21:06:57.023618Z",
+     "iopub.status.busy": "2026-05-29T21:06:57.023524Z",
+     "iopub.status.idle": "2026-05-29T21:06:57.025994Z",
+     "shell.execute_reply": "2026-05-29T21:06:57.025698Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -1050,9 +1085,9 @@
       "    area_label:            sea\n",
       "    branded_variable:      tos_tavg-u-hxy-sea\n",
       "    branding_suffix:       tavg-u-hxy-sea\n",
-      "    creation_date:         2026-05-29T20:52:24Z\n",
+      "    creation_date:         2026-05-29T21:06:56Z\n",
       "    ...                    ...\n",
-      "    tracking_id:           hdl:21.14107/d447abe6-562d-4d3c-ba60-68df986e4032\n",
+      "    tracking_id:           hdl:21.14107/38ff9c87-a3cb-4e4a-8134-c907dee93258\n",
       "    variable_id:           tos\n",
       "    variant_label:         r9i1p1f3\n",
       "    vertical_label:        u\n",
@@ -1071,11 +1106,18 @@
    "cell_type": "code",
    "execution_count": 6,
    "id": "9148e5df",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T21:06:57.027181Z",
+     "iopub.status.busy": "2026-05-29T21:06:57.027097Z",
+     "iopub.status.idle": "2026-05-29T21:06:57.157795Z",
+     "shell.execute_reply": "2026-05-29T21:06:57.157395Z"
+    }
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1100x540 with 2 Axes>"
       ]
@@ -1088,32 +1130,27 @@
     "fig, ax = plt.subplots(figsize=(11, 5.4))\n",
     "map_plot = Basemap(\n",
     "    projection=\"cyl\",\n",
-    "    llcrnrlon=0,\n",
-    "    urcrnrlon=360,\n",
+    "    llcrnrlon=-180,\n",
+    "    urcrnrlon=180,\n",
     "    llcrnrlat=-90,\n",
     "    urcrnrlat=90,\n",
     "    resolution=\"c\",\n",
     "    ax=ax,\n",
     ")\n",
     "map_plot.drawmapboundary(fill_color=\"#f7fbff\", linewidth=0.8)\n",
-    "x, y = map_plot(ds[\"longitude\"].values, ds[\"latitude\"].values)\n",
-    "mesh = map_plot.pcolormesh(x, y, ds[\"tos\"].isel(time=0).values, shading=\"auto\", cmap=\"coolwarm\")\n",
+    "longitude_wrapped = ((ds[\"longitude\"].values + 180.0) % 360.0) - 180.0\n",
+    "x_order = np.argsort(longitude_wrapped.mean(axis=0))\n",
+    "x, y = map_plot(longitude_wrapped[:, x_order], ds[\"latitude\"].values[:, x_order])\n",
+    "field = ds[\"tos\"].isel(time=0).values[:, x_order]\n",
+    "mesh = map_plot.pcolormesh(x, y, field, shading=\"auto\", cmap=\"coolwarm\")\n",
     "map_plot.drawcoastlines(linewidth=0.7, color=\"0.15\")\n",
     "map_plot.drawparallels(np.arange(-90, 91, 30), labels=[1, 0, 0, 0], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
-    "map_plot.drawmeridians(np.arange(0, 361, 60), labels=[0, 0, 0, 1], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
+    "map_plot.drawmeridians(np.arange(-180, 181, 60), labels=[0, 0, 0, 1], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
     "colorbar = map_plot.colorbar(mesh, location=\"right\", pad=\"5%\")\n",
     "colorbar.set_label(\"degC\")\n",
     "ax.set_title(\"CMIP7 tos on a curvilinear grid, first month\")\n",
     "plt.show()\n"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ef4e2dbd-d90e-4b1e-8cbc-93cfdd2e5ccf",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {

From 53adba51379db9ce1eb69f13ec10c0df7aadd579 Mon Sep 17 00:00:00 2001
From: Chris Mauzey <mauzey1@llnl.gov>
Date: Fri, 29 May 2026 14:52:55 -0700
Subject: [PATCH 04/25] Remove redundant print of variable info

---
 .../01_basic_ocean_surface_temperature.ipynb  | 102 +++++---------
 .../02_atmos_surface_air_temperature.ipynb    | 100 +++++---------
 .../03_pressure_level_air_temperature.ipynb   | 119 +++++------------
 notebooks/04_hybrid_sigma_zfactors.ipynb      | 125 +++++-------------
 notebooks/05_curvilinear_ocean_grid.ipynb     | 118 +++++------------
 5 files changed, 166 insertions(+), 398 deletions(-)

diff --git a/notebooks/01_basic_ocean_surface_temperature.ipynb b/notebooks/01_basic_ocean_surface_temperature.ipynb
index eb865da7..88066806 100644
--- a/notebooks/01_basic_ocean_surface_temperature.ipynb
+++ b/notebooks/01_basic_ocean_surface_temperature.ipynb
@@ -5,7 +5,7 @@
    "id": "8c2d69d8",
    "metadata": {},
    "source": [
-    "# 01 - Basic Ocean Surface Temperature\n",
+    "# Basic Ocean Surface Temperature\n",
     "\n",
     "Create a CMIP7 monthly sea surface temperature file (`tos_tavg-u-hxy-sea`) on a global 10 degree latitude-longitude grid."
    ]
@@ -16,10 +16,10 @@
    "id": "1ef49a65",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:02:57.351449Z",
-     "iopub.status.busy": "2026-05-29T21:02:57.351215Z",
-     "iopub.status.idle": "2026-05-29T21:02:57.853699Z",
-     "shell.execute_reply": "2026-05-29T21:02:57.853277Z"
+     "iopub.execute_input": "2026-05-29T21:49:22.108484Z",
+     "iopub.status.busy": "2026-05-29T21:49:22.108322Z",
+     "iopub.status.idle": "2026-05-29T21:49:22.775658Z",
+     "shell.execute_reply": "2026-05-29T21:49:22.775292Z"
     }
    },
    "outputs": [
@@ -66,10 +66,10 @@
    "id": "98a3af92",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:02:57.855273Z",
-     "iopub.status.busy": "2026-05-29T21:02:57.855140Z",
-     "iopub.status.idle": "2026-05-29T21:02:57.862497Z",
-     "shell.execute_reply": "2026-05-29T21:02:57.862066Z"
+     "iopub.execute_input": "2026-05-29T21:49:22.777000Z",
+     "iopub.status.busy": "2026-05-29T21:49:22.776883Z",
+     "iopub.status.idle": "2026-05-29T21:49:22.784302Z",
+     "shell.execute_reply": "2026-05-29T21:49:22.783971Z"
     }
    },
    "outputs": [
@@ -141,10 +141,10 @@
    "id": "33c84a99",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:02:57.863601Z",
-     "iopub.status.busy": "2026-05-29T21:02:57.863531Z",
-     "iopub.status.idle": "2026-05-29T21:02:57.928339Z",
-     "shell.execute_reply": "2026-05-29T21:02:57.928028Z"
+     "iopub.execute_input": "2026-05-29T21:49:22.785448Z",
+     "iopub.status.busy": "2026-05-29T21:49:22.785376Z",
+     "iopub.status.idle": "2026-05-29T21:49:22.852686Z",
+     "shell.execute_reply": "2026-05-29T21:49:22.852385Z"
     }
    },
    "outputs": [
@@ -199,10 +199,10 @@
    "id": "52566071",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:02:57.929724Z",
-     "iopub.status.busy": "2026-05-29T21:02:57.929646Z",
-     "iopub.status.idle": "2026-05-29T21:02:58.043224Z",
-     "shell.execute_reply": "2026-05-29T21:02:58.042837Z"
+     "iopub.execute_input": "2026-05-29T21:49:22.853997Z",
+     "iopub.status.busy": "2026-05-29T21:49:22.853927Z",
+     "iopub.status.idle": "2026-05-29T21:49:23.029372Z",
+     "shell.execute_reply": "2026-05-29T21:49:23.028912Z"
     }
    },
    "outputs": [
@@ -769,19 +769,19 @@
        "    area_label:            sea\n",
        "    branded_variable:      tos_tavg-u-hxy-sea\n",
        "    branding_suffix:       tavg-u-hxy-sea\n",
-       "    creation_date:         2026-05-29T21:02:57Z\n",
+       "    creation_date:         2026-05-29T21:49:22Z\n",
        "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/3ea8cadf-6797-4061-bfde-af9245c7816e\n",
+       "    tracking_id:           hdl:21.14107/607a5237-e5a0-46ff-af78-be5f4c0bf300\n",
        "    variable_id:           tos\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7d2baff9-4e7d-4e4d-8bc1-2e6784ec8d9c' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-7d2baff9-4e7d-4e4d-8bc1-2e6784ec8d9c' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 3</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div></li><li class='xr-section-item'><input id='section-285da283-8b2b-4bad-bd5b-782f5bbe2313' class='xr-section-summary-in' type='checkbox' checked /><label for='section-285da283-8b2b-4bad-bd5b-782f5bbe2313' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0 75.0</div><input id='attrs-e83d1976-b451-46a6-b6f3-33de65677add' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e83d1976-b451-46a6-b6f3-33de65677add' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8ceb317-7622-4337-9579-5bc7f73e89be' class='xr-var-data-in' type='checkbox'><label for='data-e8ceb317-7622-4337-9579-5bc7f73e89be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45., 75.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-b5604cef-c47f-479c-abe1-f444b5fec88b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5604cef-c47f-479c-abe1-f444b5fec88b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-447d93e6-ceaf-42d2-b4ad-db723ef16f59' class='xr-var-data-in' type='checkbox'><label for='data-447d93e6-ceaf-42d2-b4ad-db723ef16f59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
-       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-a36eab88-1bad-4ff4-9a0b-2e4718a710d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a36eab88-1bad-4ff4-9a0b-2e4718a710d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce6340e8-ea19-436f-8857-53b0ef576934' class='xr-var-data-in' type='checkbox'><label for='data-ce6340e8-ea19-436f-8857-53b0ef576934' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-83b44e5e-8422-4257-b5bc-298ad0d8555e' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-83b44e5e-8422-4257-b5bc-298ad0d8555e' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 3</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div></li><li class='xr-section-item'><input id='section-08100bc3-42b7-424a-83c5-af5b531b4ce2' class='xr-section-summary-in' type='checkbox' checked /><label for='section-08100bc3-42b7-424a-83c5-af5b531b4ce2' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0 75.0</div><input id='attrs-cb3e3540-84c1-4c4d-a388-2f950edd72c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb3e3540-84c1-4c4d-a388-2f950edd72c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16202027-685c-4f80-be1c-deafe2959d13' class='xr-var-data-in' type='checkbox'><label for='data-16202027-685c-4f80-be1c-deafe2959d13' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45., 75.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-8a7e52db-7654-4b62-bcc5-cabbc8741a99' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a7e52db-7654-4b62-bcc5-cabbc8741a99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e018ba6-09b8-4173-8a75-1261ee4bb906' class='xr-var-data-in' type='checkbox'><label for='data-6e018ba6-09b8-4173-8a75-1261ee4bb906' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
+       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-1c6f0785-2cf0-4427-ad86-0dffeac47787' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c6f0785-2cf0-4427-ad86-0dffeac47787' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0883769e-d8ca-4d2a-b63a-181563d3bc37' class='xr-var-data-in' type='checkbox'><label for='data-0883769e-d8ca-4d2a-b63a-181563d3bc37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
        "       125., 135., 145., 155., 165., 175., 185., 195., 205., 215., 225., 235.,\n",
-       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-419e786d-729f-45bc-ae50-075d389aea00' class='xr-section-summary-in' type='checkbox' checked /><label for='section-419e786d-729f-45bc-ae50-075d389aea00' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0 60.0 90.0</div><input id='attrs-79b13ca0-6a24-4a26-887a-043496673c37' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-79b13ca0-6a24-4a26-887a-043496673c37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50700c41-cac3-4bc4-8dd4-40e050205331' class='xr-var-data-in' type='checkbox'><label for='data-50700c41-cac3-4bc4-8dd4-40e050205331' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
+       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cab3bf01-fbda-4360-a711-8dccabbf52d4' class='xr-section-summary-in' type='checkbox' checked /><label for='section-cab3bf01-fbda-4360-a711-8dccabbf52d4' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0 60.0 90.0</div><input id='attrs-6d0afd47-54f2-4b19-a43a-455eac2ba22e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6d0afd47-54f2-4b19-a43a-455eac2ba22e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8debf38-4ec0-4458-bcf0-613cd59a59c9' class='xr-var-data-in' type='checkbox'><label for='data-a8debf38-4ec0-4458-bcf0-613cd59a59c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
        "       [30., 60.],\n",
-       "       [60., 90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-1e5ee1af-c8c0-4dfc-b817-83bbb17e3f1c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1e5ee1af-c8c0-4dfc-b817-83bbb17e3f1c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4736e7d-b8bf-41f9-96ec-ce73bc1d9650' class='xr-var-data-in' type='checkbox'><label for='data-f4736e7d-b8bf-41f9-96ec-ce73bc1d9650' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
+       "       [60., 90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-5f587063-bf6e-4b04-b698-98efcf280ec1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5f587063-bf6e-4b04-b698-98efcf280ec1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38ddb565-136b-41b2-b9c0-c5c69528998b' class='xr-var-data-in' type='checkbox'><label for='data-38ddb565-136b-41b2-b9c0-c5c69528998b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
        "       [-80., -70.],\n",
        "       [-70., -60.],\n",
        "       [-60., -50.],\n",
@@ -798,7 +798,7 @@
        "       [ 50.,  60.],\n",
        "       [ 60.,  70.],\n",
        "       [ 70.,  80.],\n",
-       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-c368f11e-a5d4-4d2a-bf7b-50e76e8aedb6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c368f11e-a5d4-4d2a-bf7b-50e76e8aedb6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-641240e7-0f4c-42a7-83dc-e3654b15f1ab' class='xr-var-data-in' type='checkbox'><label for='data-641240e7-0f4c-42a7-83dc-e3654b15f1ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
+       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-aa8df362-ef63-46d1-b5dd-19e5c999a94c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-aa8df362-ef63-46d1-b5dd-19e5c999a94c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9e2b578-0682-4382-9b0c-1b0a15bc07b2' class='xr-var-data-in' type='checkbox'><label for='data-f9e2b578-0682-4382-9b0c-1b0a15bc07b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
        "       [ 10.,  20.],\n",
        "       [ 20.,  30.],\n",
        "       [ 30.,  40.],\n",
@@ -833,7 +833,7 @@
        "       [320., 330.],\n",
        "       [330., 340.],\n",
        "       [340., 350.],\n",
-       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-8.316 -8.361 ... -8.761 -8.716</div><input id='attrs-e671a059-05dd-4f54-a676-b28a9069b14b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e671a059-05dd-4f54-a676-b28a9069b14b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a87c72a9-3c15-43e4-9e09-5f08119adb72' class='xr-var-data-in' type='checkbox'><label for='data-a87c72a9-3c15-43e4-9e09-5f08119adb72' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd></dl></div><div class='xr-var-data'><pre>array([[[-8.3158045, -8.361208 , -8.450635 , ..., -8.450635 ,\n",
+       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-8.316 -8.361 ... -8.761 -8.716</div><input id='attrs-0450630d-164f-470b-9e1b-492f33cda1ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0450630d-164f-470b-9e1b-492f33cda1ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3df67213-6900-4b3a-b3d3-d11c537a0ea2' class='xr-var-data-in' type='checkbox'><label for='data-3df67213-6900-4b3a-b3d3-d11c537a0ea2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd></dl></div><div class='xr-var-data'><pre>array([[[-8.3158045, -8.361208 , -8.450635 , ..., -8.450635 ,\n",
        "         -8.361208 , -8.3158045],\n",
        "        [-6.8310256, -6.8764286, -6.965856 , ..., -6.965856 ,\n",
        "         -6.8764286, -6.8310256],\n",
@@ -873,7 +873,7 @@
        "        [-7.2310257, -7.2764287, -7.3658557, ..., -7.3658557,\n",
        "         -7.2764287, -7.2310257],\n",
        "        [-8.715805 , -8.761209 , -8.850636 , ..., -8.850636 ,\n",
-       "         -8.761209 , -8.715805 ]]], shape=(3, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2681efe0-d7c0-4b95-8252-87cdf4c73a85' class='xr-section-summary-in' type='checkbox' /><label for='section-2681efe0-d7c0-4b95-8252-87cdf4c73a85' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>tos_tavg-u-hxy-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-sea</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T21:02:57Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacello</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T21:02:57Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/3ea8cadf-6797-4061-bfde-af9245c7816e</dd><dt><span>variable_id :</span></dt><dd>tos</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+       "         -8.761209 , -8.715805 ]]], shape=(3, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a07e4960-023f-475c-889e-51a64ac2cff3' class='xr-section-summary-in' type='checkbox' /><label for='section-a07e4960-023f-475c-889e-51a64ac2cff3' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>tos_tavg-u-hxy-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-sea</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T21:49:22Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacello</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T21:49:22Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/607a5237-e5a0-46ff-af78-be5f4c0bf300</dd><dt><span>variable_id :</span></dt><dd>tos</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 9kB\n",
@@ -894,9 +894,9 @@
        "    area_label:            sea\n",
        "    branded_variable:      tos_tavg-u-hxy-sea\n",
        "    branding_suffix:       tavg-u-hxy-sea\n",
-       "    creation_date:         2026-05-29T21:02:57Z\n",
+       "    creation_date:         2026-05-29T21:49:22Z\n",
        "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/3ea8cadf-6797-4061-bfde-af9245c7816e\n",
+       "    tracking_id:           hdl:21.14107/607a5237-e5a0-46ff-af78-be5f4c0bf300\n",
        "    variable_id:           tos\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
@@ -918,51 +918,13 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "593dabd1",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-29T21:02:58.044492Z",
-     "iopub.status.busy": "2026-05-29T21:02:58.044408Z",
-     "iopub.status.idle": "2026-05-29T21:02:58.046674Z",
-     "shell.execute_reply": "2026-05-29T21:02:58.046176Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "mip_era: CMIP7\n",
-      "activity_id: CMIP\n",
-      "source_id: DUMMY-MODEL\n",
-      "experiment_id: amip\n",
-      "variant_label: r9i1p1f3\n",
-      "branded_variable: tos_tavg-u-hxy-sea\n",
-      "frequency: mon\n",
-      "region: glb\n",
-      "\n",
-      "Variable shape: (3, 18, 36)\n",
-      "Variable attributes: {'standard_name': 'sea_surface_temperature', 'long_name': 'Sea Surface Temperature', 'units': 'degC', 'cell_methods': 'area: mean where sea time: mean', 'cell_measures': 'area: areacello'}\n"
-     ]
-    }
-   ],
-   "source": [
-    "for name in [\"mip_era\", \"activity_id\", \"source_id\", \"experiment_id\", \"variant_label\", \"branded_variable\", \"frequency\", \"region\"]:\n",
-    "    print(f\"{name}: {ds.attrs.get(name)}\")\n",
-    "print(f\"\\nVariable shape: {ds['tos'].shape}\")\n",
-    "print(f\"Variable attributes: {dict(ds['tos'].attrs)}\")\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
    "id": "1a291a66",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:02:58.047809Z",
-     "iopub.status.busy": "2026-05-29T21:02:58.047710Z",
-     "iopub.status.idle": "2026-05-29T21:02:58.186481Z",
-     "shell.execute_reply": "2026-05-29T21:02:58.186021Z"
+     "iopub.execute_input": "2026-05-29T21:49:23.030523Z",
+     "iopub.status.busy": "2026-05-29T21:49:23.030452Z",
+     "iopub.status.idle": "2026-05-29T21:49:23.164235Z",
+     "shell.execute_reply": "2026-05-29T21:49:23.163884Z"
     }
    },
    "outputs": [
diff --git a/notebooks/02_atmos_surface_air_temperature.ipynb b/notebooks/02_atmos_surface_air_temperature.ipynb
index 2ba58f77..ac47a54b 100644
--- a/notebooks/02_atmos_surface_air_temperature.ipynb
+++ b/notebooks/02_atmos_surface_air_temperature.ipynb
@@ -5,7 +5,7 @@
    "id": "8f0fce82",
    "metadata": {},
    "source": [
-    "# 02 - Atmospheric Surface Air Temperature\n",
+    "# Atmospheric Surface Air Temperature\n",
     "\n",
     "Create a CMIP7 monthly near-surface air temperature file (`tas_tavg-h2m-hxy-u`). This adds the CMIP7 fixed-height coordinate used for 2 m variables."
    ]
@@ -16,10 +16,10 @@
    "id": "d1d1af98",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:02:59.086212Z",
-     "iopub.status.busy": "2026-05-29T21:02:59.086048Z",
-     "iopub.status.idle": "2026-05-29T21:02:59.589644Z",
-     "shell.execute_reply": "2026-05-29T21:02:59.589162Z"
+     "iopub.execute_input": "2026-05-29T21:49:24.074856Z",
+     "iopub.status.busy": "2026-05-29T21:49:24.074645Z",
+     "iopub.status.idle": "2026-05-29T21:49:24.568820Z",
+     "shell.execute_reply": "2026-05-29T21:49:24.568282Z"
     }
    },
    "outputs": [
@@ -66,10 +66,10 @@
    "id": "284b84c2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:02:59.591328Z",
-     "iopub.status.busy": "2026-05-29T21:02:59.591090Z",
-     "iopub.status.idle": "2026-05-29T21:02:59.600036Z",
-     "shell.execute_reply": "2026-05-29T21:02:59.599534Z"
+     "iopub.execute_input": "2026-05-29T21:49:24.570186Z",
+     "iopub.status.busy": "2026-05-29T21:49:24.570059Z",
+     "iopub.status.idle": "2026-05-29T21:49:24.579350Z",
+     "shell.execute_reply": "2026-05-29T21:49:24.578921Z"
     }
    },
    "outputs": [
@@ -141,10 +141,10 @@
    "id": "d2ded412",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:02:59.601389Z",
-     "iopub.status.busy": "2026-05-29T21:02:59.601294Z",
-     "iopub.status.idle": "2026-05-29T21:02:59.675304Z",
-     "shell.execute_reply": "2026-05-29T21:02:59.674666Z"
+     "iopub.execute_input": "2026-05-29T21:49:24.580789Z",
+     "iopub.status.busy": "2026-05-29T21:49:24.580698Z",
+     "iopub.status.idle": "2026-05-29T21:49:24.654955Z",
+     "shell.execute_reply": "2026-05-29T21:49:24.654654Z"
     }
    },
    "outputs": [
@@ -200,10 +200,10 @@
    "id": "5bf2f00d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:02:59.677047Z",
-     "iopub.status.busy": "2026-05-29T21:02:59.676950Z",
-     "iopub.status.idle": "2026-05-29T21:02:59.790677Z",
-     "shell.execute_reply": "2026-05-29T21:02:59.790216Z"
+     "iopub.execute_input": "2026-05-29T21:49:24.656162Z",
+     "iopub.status.busy": "2026-05-29T21:49:24.656085Z",
+     "iopub.status.idle": "2026-05-29T21:49:24.774407Z",
+     "shell.execute_reply": "2026-05-29T21:49:24.774072Z"
     }
    },
    "outputs": [
@@ -771,19 +771,19 @@
        "    area_label:            u\n",
        "    branded_variable:      tas_tavg-h2m-hxy-u\n",
        "    branding_suffix:       tavg-h2m-hxy-u\n",
-       "    creation_date:         2026-05-29T21:02:59Z\n",
+       "    creation_date:         2026-05-29T21:49:24Z\n",
        "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/981933d1-7b64-4ace-a7dd-77c58ff78c0a\n",
+       "    tracking_id:           hdl:21.14107/f0c5758d-29d3-4a8f-a46e-d5eea41c28b4\n",
        "    variable_id:           tas\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        h2m\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2cdeea7c-1890-4222-aa25-e4cbfaff4449' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-2cdeea7c-1890-4222-aa25-e4cbfaff4449' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 3</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div></li><li class='xr-section-item'><input id='section-3e829622-55fc-4d1d-86d4-685eb2de7c92' class='xr-section-summary-in' type='checkbox' checked /><label for='section-3e829622-55fc-4d1d-86d4-685eb2de7c92' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0 75.0</div><input id='attrs-6bf7da9a-7726-4e77-8fec-db2117427bc3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6bf7da9a-7726-4e77-8fec-db2117427bc3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81a6538a-abbc-44aa-972d-497dc8059883' class='xr-var-data-in' type='checkbox'><label for='data-81a6538a-abbc-44aa-972d-497dc8059883' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45., 75.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-a0f3a194-3d85-4883-af9a-1ab8b973ca19' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0f3a194-3d85-4883-af9a-1ab8b973ca19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8226911-4027-4670-800b-c95ae26f405e' class='xr-var-data-in' type='checkbox'><label for='data-e8226911-4027-4670-800b-c95ae26f405e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
-       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-219925b4-d215-4eef-b4cf-16deb3df2c64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-219925b4-d215-4eef-b4cf-16deb3df2c64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66b960ea-001f-4a72-9519-a9b24973237a' class='xr-var-data-in' type='checkbox'><label for='data-66b960ea-001f-4a72-9519-a9b24973237a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e49f41b3-eb92-465a-b397-d1c5f1fb3cc3' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-e49f41b3-eb92-465a-b397-d1c5f1fb3cc3' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 3</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div></li><li class='xr-section-item'><input id='section-ff7a30ce-bbf9-4372-a580-c297b3b19b27' class='xr-section-summary-in' type='checkbox' checked /><label for='section-ff7a30ce-bbf9-4372-a580-c297b3b19b27' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0 75.0</div><input id='attrs-b8a3a247-297a-4a14-bd4a-94c648e7cbba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b8a3a247-297a-4a14-bd4a-94c648e7cbba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9557d36-1381-4fe2-b67c-928d84fc68e4' class='xr-var-data-in' type='checkbox'><label for='data-b9557d36-1381-4fe2-b67c-928d84fc68e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45., 75.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-ef8e1837-352f-4bfb-aecb-991e401d589e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef8e1837-352f-4bfb-aecb-991e401d589e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a568e57-0d0b-4a7a-b350-beec2077dcf6' class='xr-var-data-in' type='checkbox'><label for='data-9a568e57-0d0b-4a7a-b350-beec2077dcf6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
+       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-a556c1d0-ec32-4b67-b84f-d384ba42cd14' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a556c1d0-ec32-4b67-b84f-d384ba42cd14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-464dd17e-c8ba-44fa-9eff-55aa71ab03ed' class='xr-var-data-in' type='checkbox'><label for='data-464dd17e-c8ba-44fa-9eff-55aa71ab03ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
        "       125., 135., 145., 155., 165., 175., 185., 195., 205., 215., 225., 235.,\n",
-       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-7d2b53df-a093-4e87-a830-75874595dba4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d2b53df-a093-4e87-a830-75874595dba4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c0de3c5-2553-4e67-a1f8-1d1626aacc70' class='xr-var-data-in' type='checkbox'><label for='data-5c0de3c5-2553-4e67-a1f8-1d1626aacc70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3d4ffda5-0518-4fd2-aead-86be86c99968' class='xr-section-summary-in' type='checkbox' checked /><label for='section-3d4ffda5-0518-4fd2-aead-86be86c99968' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0 60.0 90.0</div><input id='attrs-dc8c26a4-6d2a-4b80-a1ba-34c3ff978539' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dc8c26a4-6d2a-4b80-a1ba-34c3ff978539' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1ab1ccd-d66b-49dc-bf38-8cb1362eeb02' class='xr-var-data-in' type='checkbox'><label for='data-d1ab1ccd-d66b-49dc-bf38-8cb1362eeb02' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
+       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-ae3e16ee-8f2d-4b67-b15c-2de9876a431b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae3e16ee-8f2d-4b67-b15c-2de9876a431b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a7335a5-db6d-4645-bc36-96e00feb4d1e' class='xr-var-data-in' type='checkbox'><label for='data-0a7335a5-db6d-4645-bc36-96e00feb4d1e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-549e1b4a-ea4a-4fba-bc15-8670906effe0' class='xr-section-summary-in' type='checkbox' checked /><label for='section-549e1b4a-ea4a-4fba-bc15-8670906effe0' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0 60.0 90.0</div><input id='attrs-509a097e-9e4f-44e3-8338-ace980b46b4b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-509a097e-9e4f-44e3-8338-ace980b46b4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cf70163-5884-4e0e-ac8f-8e13754d990e' class='xr-var-data-in' type='checkbox'><label for='data-5cf70163-5884-4e0e-ac8f-8e13754d990e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
        "       [30., 60.],\n",
-       "       [60., 90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-8aa5b2bd-0af2-4458-8027-689511d661d9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8aa5b2bd-0af2-4458-8027-689511d661d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea74043f-a665-4325-b250-75aac726e81b' class='xr-var-data-in' type='checkbox'><label for='data-ea74043f-a665-4325-b250-75aac726e81b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
+       "       [60., 90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-afaa4713-c9a1-407a-bcde-038507afb298' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-afaa4713-c9a1-407a-bcde-038507afb298' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65ddefe6-07ba-450b-b178-ba8c0b0ee515' class='xr-var-data-in' type='checkbox'><label for='data-65ddefe6-07ba-450b-b178-ba8c0b0ee515' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
        "       [-80., -70.],\n",
        "       [-70., -60.],\n",
        "       [-60., -50.],\n",
@@ -800,7 +800,7 @@
        "       [ 50.,  60.],\n",
        "       [ 60.,  70.],\n",
        "       [ 70.,  80.],\n",
-       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-40145614-f6e3-43e7-838f-b86de825d5c3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-40145614-f6e3-43e7-838f-b86de825d5c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e26f9db0-3d41-4d5b-8eb9-ea9e21456f0a' class='xr-var-data-in' type='checkbox'><label for='data-e26f9db0-3d41-4d5b-8eb9-ea9e21456f0a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
+       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-b52c5394-f9a4-4417-a8e6-d990d00af345' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b52c5394-f9a4-4417-a8e6-d990d00af345' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4969ec0-9151-455e-b409-e654a58da619' class='xr-var-data-in' type='checkbox'><label for='data-b4969ec0-9151-455e-b409-e654a58da619' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
        "       [ 10.,  20.],\n",
        "       [ 20.,  30.],\n",
        "       [ 30.,  40.],\n",
@@ -835,7 +835,7 @@
        "       [320., 330.],\n",
        "       [330., 340.],\n",
        "       [340., 350.],\n",
-       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>240.3 240.3 240.2 ... 248.3 248.3</div><input id='attrs-920fec20-414c-4f9f-a293-b0d587f0dec0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-920fec20-414c-4f9f-a293-b0d587f0dec0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d7f5221-d2ec-49b9-9ea8-fd0eadb19597' class='xr-var-data-in' type='checkbox'><label for='data-5d7f5221-d2ec-49b9-9ea8-fd0eadb19597' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>history :</span></dt><dd>2026-05-29T21:02:59Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;.</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[240.33421, 240.27368, 240.15443, ..., 240.15443, 240.27368,\n",
+       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>240.3 240.3 240.2 ... 248.3 248.3</div><input id='attrs-a67edf4a-6da4-441c-948b-c90fc6c54273' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a67edf4a-6da4-441c-948b-c90fc6c54273' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e5ac321-5fd9-4eb0-9715-e759125ad374' class='xr-var-data-in' type='checkbox'><label for='data-4e5ac321-5fd9-4eb0-9715-e759125ad374' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>history :</span></dt><dd>2026-05-29T21:49:24Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;.</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[240.33421, 240.27368, 240.15443, ..., 240.15443, 240.27368,\n",
        "         240.33421],\n",
        "        [243.00682, 242.94627, 242.82704, ..., 242.82704, 242.94627,\n",
        "         243.00682],\n",
@@ -875,7 +875,7 @@
        "        [251.00682, 250.94627, 250.82704, ..., 250.82704, 250.94627,\n",
        "         251.00682],\n",
        "        [248.33421, 248.27368, 248.15443, ..., 248.15443, 248.27368,\n",
-       "         248.33421]]], shape=(3, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-76350c9f-285b-49fd-9e72-abd8e850b957' class='xr-section-summary-in' type='checkbox' /><label for='section-76350c9f-285b-49fd-9e72-abd8e850b957' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>tas_tavg-h2m-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-h2m-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T21:02:59Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T21:02:59Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/981933d1-7b64-4ace-a7dd-77c58ff78c0a</dd><dt><span>variable_id :</span></dt><dd>tas</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>h2m</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+       "         248.33421]]], shape=(3, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5cf9ebac-ca6a-4425-9d1d-0b8e24ecec33' class='xr-section-summary-in' type='checkbox' /><label for='section-5cf9ebac-ca6a-4425-9d1d-0b8e24ecec33' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>tas_tavg-h2m-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-h2m-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T21:49:24Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T21:49:24Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/f0c5758d-29d3-4a8f-a46e-d5eea41c28b4</dd><dt><span>variable_id :</span></dt><dd>tas</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>h2m</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 9kB\n",
@@ -897,9 +897,9 @@
        "    area_label:            u\n",
        "    branded_variable:      tas_tavg-h2m-hxy-u\n",
        "    branding_suffix:       tavg-h2m-hxy-u\n",
-       "    creation_date:         2026-05-29T21:02:59Z\n",
+       "    creation_date:         2026-05-29T21:49:24Z\n",
        "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/981933d1-7b64-4ace-a7dd-77c58ff78c0a\n",
+       "    tracking_id:           hdl:21.14107/f0c5758d-29d3-4a8f-a46e-d5eea41c28b4\n",
        "    variable_id:           tas\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        h2m\n",
@@ -921,49 +921,13 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "33d4b0c8",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-29T21:02:59.792632Z",
-     "iopub.status.busy": "2026-05-29T21:02:59.792473Z",
-     "iopub.status.idle": "2026-05-29T21:02:59.795034Z",
-     "shell.execute_reply": "2026-05-29T21:02:59.794498Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "branded_variable: tas_tavg-h2m-hxy-u\n",
-      "vertical_label: h2m\n",
-      "horizontal_label: hxy\n",
-      "area_label: u\n",
-      "frequency: mon\n",
-      "region: glb\n",
-      "\n",
-      "height coordinate: 2.0 m\n",
-      "Variable attributes: {'standard_name': 'air_temperature', 'long_name': 'Near-Surface Air Temperature', 'units': 'K', 'cell_methods': 'area: time: mean', 'history': \"2026-05-29T21:02:59Z altered by CMOR: Treated scalar dimension: 'height'.\", 'cell_measures': 'area: areacella'}\n"
-     ]
-    }
-   ],
-   "source": [
-    "for name in [\"branded_variable\", \"vertical_label\", \"horizontal_label\", \"area_label\", \"frequency\", \"region\"]:\n",
-    "    print(f\"{name}: {ds.attrs.get(name)}\")\n",
-    "print(f\"\\nheight coordinate: {float(ds['height'].values)} {ds['height'].attrs.get('units')}\")\n",
-    "print(f\"Variable attributes: {dict(ds['tas'].attrs)}\")\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
    "id": "1daca239",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:02:59.796329Z",
-     "iopub.status.busy": "2026-05-29T21:02:59.796216Z",
-     "iopub.status.idle": "2026-05-29T21:02:59.930604Z",
-     "shell.execute_reply": "2026-05-29T21:02:59.930251Z"
+     "iopub.execute_input": "2026-05-29T21:49:24.775801Z",
+     "iopub.status.busy": "2026-05-29T21:49:24.775707Z",
+     "iopub.status.idle": "2026-05-29T21:49:24.910404Z",
+     "shell.execute_reply": "2026-05-29T21:49:24.910000Z"
     }
    },
    "outputs": [
diff --git a/notebooks/03_pressure_level_air_temperature.ipynb b/notebooks/03_pressure_level_air_temperature.ipynb
index c606e7c7..9a3d70ee 100644
--- a/notebooks/03_pressure_level_air_temperature.ipynb
+++ b/notebooks/03_pressure_level_air_temperature.ipynb
@@ -5,7 +5,7 @@
    "id": "8ba27efb",
    "metadata": {},
    "source": [
-    "# 03 - Atmospheric Temperature On Pressure Levels\n",
+    "# Atmospheric Temperature On Pressure Levels\n",
     "\n",
     "Create a CMIP7 monthly air temperature file (`ta_tavg-p19-hxy-air`) on the requested 19 pressure levels."
    ]
@@ -16,10 +16,10 @@
    "id": "4c424c5c",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:03:00.803745Z",
-     "iopub.status.busy": "2026-05-29T21:03:00.803627Z",
-     "iopub.status.idle": "2026-05-29T21:03:01.286412Z",
-     "shell.execute_reply": "2026-05-29T21:03:01.285960Z"
+     "iopub.execute_input": "2026-05-29T21:49:25.838672Z",
+     "iopub.status.busy": "2026-05-29T21:49:25.838501Z",
+     "iopub.status.idle": "2026-05-29T21:49:26.350553Z",
+     "shell.execute_reply": "2026-05-29T21:49:26.350075Z"
     }
    },
    "outputs": [
@@ -66,10 +66,10 @@
    "id": "1324ba6e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:03:01.287749Z",
-     "iopub.status.busy": "2026-05-29T21:03:01.287625Z",
-     "iopub.status.idle": "2026-05-29T21:03:01.295577Z",
-     "shell.execute_reply": "2026-05-29T21:03:01.295225Z"
+     "iopub.execute_input": "2026-05-29T21:49:26.352126Z",
+     "iopub.status.busy": "2026-05-29T21:49:26.351968Z",
+     "iopub.status.idle": "2026-05-29T21:49:26.361084Z",
+     "shell.execute_reply": "2026-05-29T21:49:26.360714Z"
     }
    },
    "outputs": [
@@ -166,10 +166,10 @@
    "id": "c59fb308",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:03:01.296938Z",
-     "iopub.status.busy": "2026-05-29T21:03:01.296855Z",
-     "iopub.status.idle": "2026-05-29T21:03:01.370834Z",
-     "shell.execute_reply": "2026-05-29T21:03:01.370490Z"
+     "iopub.execute_input": "2026-05-29T21:49:26.362353Z",
+     "iopub.status.busy": "2026-05-29T21:49:26.362268Z",
+     "iopub.status.idle": "2026-05-29T21:49:26.435873Z",
+     "shell.execute_reply": "2026-05-29T21:49:26.435483Z"
     }
    },
    "outputs": [
@@ -225,10 +225,10 @@
    "id": "09d6a9fe",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:03:01.372348Z",
-     "iopub.status.busy": "2026-05-29T21:03:01.372259Z",
-     "iopub.status.idle": "2026-05-29T21:03:01.492910Z",
-     "shell.execute_reply": "2026-05-29T21:03:01.492446Z"
+     "iopub.execute_input": "2026-05-29T21:49:26.437033Z",
+     "iopub.status.busy": "2026-05-29T21:49:26.436956Z",
+     "iopub.status.idle": "2026-05-29T21:49:26.554065Z",
+     "shell.execute_reply": "2026-05-29T21:49:26.553614Z"
     }
    },
    "outputs": [
@@ -796,20 +796,20 @@
        "    area_label:            air\n",
        "    branded_variable:      ta_tavg-p19-hxy-air\n",
        "    branding_suffix:       tavg-p19-hxy-air\n",
-       "    creation_date:         2026-05-29T21:03:01Z\n",
+       "    creation_date:         2026-05-29T21:49:26Z\n",
        "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/2f1643fb-f1b3-4663-8db6-6dd4f30ea310\n",
+       "    tracking_id:           hdl:21.14107/84ed00cf-4777-4805-84ea-3f5e8529aaba\n",
        "    variable_id:           ta\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        p19\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c995576e-befa-4b0e-8c22-63463e29f2ed' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-c995576e-befa-4b0e-8c22-63463e29f2ed' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li><li><span class='xr-has-index'>plev</span>: 19</li></ul></div></li><li class='xr-section-item'><input id='section-47ce1320-e8d9-45ac-8e5e-c84213588020' class='xr-section-summary-in' type='checkbox' checked /><label for='section-47ce1320-e8d9-45ac-8e5e-c84213588020' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0</div><input id='attrs-52bad942-3d8c-4a48-b2f3-9d8f1cffd44e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-52bad942-3d8c-4a48-b2f3-9d8f1cffd44e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8fac1bec-4ab6-4c70-b1e8-ec5c6f1ba554' class='xr-var-data-in' type='checkbox'><label for='data-8fac1bec-4ab6-4c70-b1e8-ec5c6f1ba554' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-bb9f970f-2eba-48ce-a08c-c3c9f8edb721' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb9f970f-2eba-48ce-a08c-c3c9f8edb721' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37e1d822-dc4f-4a6e-8620-7ff2411ff33f' class='xr-var-data-in' type='checkbox'><label for='data-37e1d822-dc4f-4a6e-8620-7ff2411ff33f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
-       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-fae0381c-2f69-452b-8de6-445893deed7b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fae0381c-2f69-452b-8de6-445893deed7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d8a2e2b-8ae2-4ec8-8faa-730cb9f6ff2e' class='xr-var-data-in' type='checkbox'><label for='data-9d8a2e2b-8ae2-4ec8-8faa-730cb9f6ff2e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-624a5a7b-5510-4565-be19-4abec7174d9f' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-624a5a7b-5510-4565-be19-4abec7174d9f' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li><li><span class='xr-has-index'>plev</span>: 19</li></ul></div></li><li class='xr-section-item'><input id='section-174256a8-c1db-4cf5-aa51-63c0cb6e95c4' class='xr-section-summary-in' type='checkbox' checked /><label for='section-174256a8-c1db-4cf5-aa51-63c0cb6e95c4' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0</div><input id='attrs-76c011c6-8d79-4111-bcb9-0008907ef354' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76c011c6-8d79-4111-bcb9-0008907ef354' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3a9489c-f628-4aaa-ab49-e6169cdc773e' class='xr-var-data-in' type='checkbox'><label for='data-b3a9489c-f628-4aaa-ab49-e6169cdc773e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-075a259e-843b-45b1-9f7c-4c3fcd6ae329' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-075a259e-843b-45b1-9f7c-4c3fcd6ae329' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44f2afbb-c5e0-49d7-826f-1bf1eb1b9ddc' class='xr-var-data-in' type='checkbox'><label for='data-44f2afbb-c5e0-49d7-826f-1bf1eb1b9ddc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
+       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-d946322f-c43c-4d48-806d-08e16ace5702' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d946322f-c43c-4d48-806d-08e16ace5702' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a11b345-27c9-4824-9fd3-eea9edf2c71d' class='xr-var-data-in' type='checkbox'><label for='data-7a11b345-27c9-4824-9fd3-eea9edf2c71d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
        "       125., 135., 145., 155., 165., 175., 185., 195., 205., 215., 225., 235.,\n",
-       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>plev</span></div><div class='xr-var-dims'>(plev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05 9.25e+04 ... 500.0 100.0</div><input id='attrs-b0589542-4921-40cb-b53a-4301e8862593' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0589542-4921-40cb-b53a-4301e8862593' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7dfc7de-b2e5-427f-a1b0-036e8c9d87b8' class='xr-var-data-in' type='checkbox'><label for='data-f7dfc7de-b2e5-427f-a1b0-036e8c9d87b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>Pressure Levels (19)</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd></dl></div><div class='xr-var-data'><pre>array([100000.,  92500.,  85000.,  70000.,  60000.,  50000.,  40000.,  30000.,\n",
+       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>plev</span></div><div class='xr-var-dims'>(plev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05 9.25e+04 ... 500.0 100.0</div><input id='attrs-8b20937f-a3a0-453c-a42e-574051171aa0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b20937f-a3a0-453c-a42e-574051171aa0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96b12996-53cf-4e46-85b5-18034224a5ac' class='xr-var-data-in' type='checkbox'><label for='data-96b12996-53cf-4e46-85b5-18034224a5ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>Pressure Levels (19)</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd></dl></div><div class='xr-var-data'><pre>array([100000.,  92500.,  85000.,  70000.,  60000.,  50000.,  40000.,  30000.,\n",
        "        25000.,  20000.,  15000.,  10000.,   7000.,   5000.,   3000.,   2000.,\n",
-       "         1000.,    500.,    100.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7cedbff0-870c-4f9d-b9a8-a4ce91d7346a' class='xr-section-summary-in' type='checkbox' checked /><label for='section-7cedbff0-870c-4f9d-b9a8-a4ce91d7346a' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0</div><input id='attrs-bded80e4-8db2-4a2d-b1ce-7d4ae7731611' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bded80e4-8db2-4a2d-b1ce-7d4ae7731611' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a37e55f-4aa3-4e31-9a87-1c9f08101753' class='xr-var-data-in' type='checkbox'><label for='data-3a37e55f-4aa3-4e31-9a87-1c9f08101753' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
-       "       [30., 60.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-eb276f82-5b97-4e35-8b87-2f4c926fb968' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-eb276f82-5b97-4e35-8b87-2f4c926fb968' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc81d063-b5a8-447a-b0ca-e7401f90ee79' class='xr-var-data-in' type='checkbox'><label for='data-bc81d063-b5a8-447a-b0ca-e7401f90ee79' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
+       "         1000.,    500.,    100.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d2b5df25-8be3-48f8-b4ea-d38e9bf3de5e' class='xr-section-summary-in' type='checkbox' checked /><label for='section-d2b5df25-8be3-48f8-b4ea-d38e9bf3de5e' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0</div><input id='attrs-42f20496-6b55-49ed-920f-e2b48a061a59' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-42f20496-6b55-49ed-920f-e2b48a061a59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1784c544-6c1c-4cb3-a0c1-b22149ab6825' class='xr-var-data-in' type='checkbox'><label for='data-1784c544-6c1c-4cb3-a0c1-b22149ab6825' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
+       "       [30., 60.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-2a94594c-a188-472e-9c9a-48545574015b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2a94594c-a188-472e-9c9a-48545574015b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-376f2006-e3b4-4c76-a409-123d8ab7c476' class='xr-var-data-in' type='checkbox'><label for='data-376f2006-e3b4-4c76-a409-123d8ab7c476' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
        "       [-80., -70.],\n",
        "       [-70., -60.],\n",
        "       [-60., -50.],\n",
@@ -826,7 +826,7 @@
        "       [ 50.,  60.],\n",
        "       [ 60.,  70.],\n",
        "       [ 70.,  80.],\n",
-       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-2d5aaed1-eed6-455e-8b84-8cb64166d2d9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2d5aaed1-eed6-455e-8b84-8cb64166d2d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-796ca0f6-f751-46b2-8af0-f20a008917c8' class='xr-var-data-in' type='checkbox'><label for='data-796ca0f6-f751-46b2-8af0-f20a008917c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
+       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-a595d7c7-2715-4487-a29e-049d67d70ffd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a595d7c7-2715-4487-a29e-049d67d70ffd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-245000c0-18c3-4c97-ae3c-8b2b00aa5170' class='xr-var-data-in' type='checkbox'><label for='data-245000c0-18c3-4c97-ae3c-8b2b00aa5170' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
        "       [ 10.,  20.],\n",
        "       [ 20.,  30.],\n",
        "       [ 30.,  40.],\n",
@@ -861,7 +861,7 @@
        "       [320., 330.],\n",
        "       [330., 340.],\n",
        "       [340., 350.],\n",
-       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, plev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>251.3 251.2 251.2 ... 31.38 31.41</div><input id='attrs-5654f51e-2fc4-4cc1-a899-d16c2956deec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5654f51e-2fc4-4cc1-a899-d16c2956deec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b02cf413-98f1-418b-929a-abe6d66bdc72' class='xr-var-data-in' type='checkbox'><label for='data-b02cf413-98f1-418b-929a-abe6d66bdc72' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean where air</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[251.26205 , 251.2318  , 251.17216 , ..., 251.17216 ,\n",
+       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, plev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>251.3 251.2 251.2 ... 31.38 31.41</div><input id='attrs-db2d6e07-e961-4836-9269-d9e6b8bd24e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db2d6e07-e961-4836-9269-d9e6b8bd24e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67183bea-0843-4c4a-a34c-7a44c6a99c32' class='xr-var-data-in' type='checkbox'><label for='data-67183bea-0843-4c4a-a34c-7a44c6a99c32' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean where air</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[251.26205 , 251.2318  , 251.17216 , ..., 251.17216 ,\n",
        "          251.2318  , 251.26205 ],\n",
        "         [253.34074 , 253.31049 , 253.25087 , ..., 253.25087 ,\n",
        "          253.31049 , 253.34074 ],\n",
@@ -901,7 +901,7 @@
        "         [ 33.49258 ,  33.46231 ,  33.402695, ...,  33.402695,\n",
        "           33.46231 ,  33.49258 ],\n",
        "         [ 31.41389 ,  31.383621,  31.324003, ...,  31.324003,\n",
-       "           31.383621,  31.41389 ]]]], shape=(2, 19, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e62cc034-f433-41f0-8793-c0cf03d2776a' class='xr-section-summary-in' type='checkbox' /><label for='section-e62cc034-f433-41f0-8793-c0cf03d2776a' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>air</dd><dt><span>branded_variable :</span></dt><dd>ta_tavg-p19-hxy-air</dd><dt><span>branding_suffix :</span></dt><dd>tavg-p19-hxy-air</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T21:03:01Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T21:03:01Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/2f1643fb-f1b3-4663-8db6-6dd4f30ea310</dd><dt><span>variable_id :</span></dt><dd>ta</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>p19</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+       "           31.383621,  31.41389 ]]]], shape=(2, 19, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1e772143-7b82-4e22-acfb-42a350305191' class='xr-section-summary-in' type='checkbox' /><label for='section-1e772143-7b82-4e22-acfb-42a350305191' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>air</dd><dt><span>branded_variable :</span></dt><dd>ta_tavg-p19-hxy-air</dd><dt><span>branding_suffix :</span></dt><dd>tavg-p19-hxy-air</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T21:49:26Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T21:49:26Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/84ed00cf-4777-4805-84ea-3f5e8529aaba</dd><dt><span>variable_id :</span></dt><dd>ta</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>p19</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 100kB\n",
@@ -923,9 +923,9 @@
        "    area_label:            air\n",
        "    branded_variable:      ta_tavg-p19-hxy-air\n",
        "    branding_suffix:       tavg-p19-hxy-air\n",
-       "    creation_date:         2026-05-29T21:03:01Z\n",
+       "    creation_date:         2026-05-29T21:49:26Z\n",
        "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/2f1643fb-f1b3-4663-8db6-6dd4f30ea310\n",
+       "    tracking_id:           hdl:21.14107/84ed00cf-4777-4805-84ea-3f5e8529aaba\n",
        "    variable_id:           ta\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        p19\n",
@@ -947,66 +947,13 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "968c5286",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-29T21:03:01.494192Z",
-     "iopub.status.busy": "2026-05-29T21:03:01.494091Z",
-     "iopub.status.idle": "2026-05-29T21:03:01.496938Z",
-     "shell.execute_reply": "2026-05-29T21:03:01.496477Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<xarray.Dataset> Size: 99kB\n",
-      "Dimensions:  (time: 2, plev: 19, lat: 18, lon: 36)\n",
-      "Coordinates:\n",
-      "  * time     (time) float64 16B 15.0 45.0\n",
-      "  * plev     (plev) float64 152B 1e+05 9.25e+04 8.5e+04 ... 1e+03 500.0 100.0\n",
-      "  * lat      (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 55.0 65.0 75.0 85.0\n",
-      "  * lon      (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
-      "Data variables:\n",
-      "    ta       (time, plev, lat, lon) float32 98kB 251.3 251.2 ... 31.38 31.41\n",
-      "Attributes: (12/40)\n",
-      "    Conventions:           CF-1.12\n",
-      "    activity_id:           CMIP\n",
-      "    area_label:            air\n",
-      "    branded_variable:      ta_tavg-p19-hxy-air\n",
-      "    branding_suffix:       tavg-p19-hxy-air\n",
-      "    creation_date:         2026-05-29T21:03:01Z\n",
-      "    ...                    ...\n",
-      "    tracking_id:           hdl:21.14107/2f1643fb-f1b3-4663-8db6-6dd4f30ea310\n",
-      "    variable_id:           ta\n",
-      "    variant_label:         r9i1p1f3\n",
-      "    vertical_label:        p19\n",
-      "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-      "    cmor_version:          3.15.1\n",
-      "pressure levels: [100000.  92500.  85000.  70000.  60000.  50000.  40000.  30000.  25000.\n",
-      "  20000.  15000.  10000.   7000.   5000.   3000.   2000.   1000.    500.\n",
-      "    100.]\n",
-      "plev units: Pa\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(ds[[\"ta\"]])\n",
-    "print(\"pressure levels:\", ds[\"plev\"].values)\n",
-    "print(\"plev units:\", ds[\"plev\"].attrs.get(\"units\"))\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
    "id": "917090d2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:03:01.498158Z",
-     "iopub.status.busy": "2026-05-29T21:03:01.498061Z",
-     "iopub.status.idle": "2026-05-29T21:03:01.636486Z",
-     "shell.execute_reply": "2026-05-29T21:03:01.636090Z"
+     "iopub.execute_input": "2026-05-29T21:49:26.555347Z",
+     "iopub.status.busy": "2026-05-29T21:49:26.555261Z",
+     "iopub.status.idle": "2026-05-29T21:49:26.689003Z",
+     "shell.execute_reply": "2026-05-29T21:49:26.688565Z"
     }
    },
    "outputs": [
diff --git a/notebooks/04_hybrid_sigma_zfactors.ipynb b/notebooks/04_hybrid_sigma_zfactors.ipynb
index 57238665..973b113e 100644
--- a/notebooks/04_hybrid_sigma_zfactors.ipynb
+++ b/notebooks/04_hybrid_sigma_zfactors.ipynb
@@ -5,7 +5,7 @@
    "id": "f3b725d8",
    "metadata": {},
    "source": [
-    "# 04 - Hybrid Sigma Coordinate With Z-Factors\n",
+    "# Hybrid Sigma Coordinate With Z-Factors\n",
     "\n",
     "Create a CMIP7 monthly air temperature file (`ta_tavg-al-hxy-u`) on a standard hybrid sigma pressure coordinate. This example defines the vertical coordinate formula terms with CMOR zfactors and stores surface pressure with the data variable."
    ]
@@ -16,10 +16,10 @@
    "id": "e502e550",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:03:02.542560Z",
-     "iopub.status.busy": "2026-05-29T21:03:02.542399Z",
-     "iopub.status.idle": "2026-05-29T21:03:03.052422Z",
-     "shell.execute_reply": "2026-05-29T21:03:03.051986Z"
+     "iopub.execute_input": "2026-05-29T21:49:27.623040Z",
+     "iopub.status.busy": "2026-05-29T21:49:27.622882Z",
+     "iopub.status.idle": "2026-05-29T21:49:28.134697Z",
+     "shell.execute_reply": "2026-05-29T21:49:28.134280Z"
     }
    },
    "outputs": [
@@ -66,10 +66,10 @@
    "id": "795d90b2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:03:03.053769Z",
-     "iopub.status.busy": "2026-05-29T21:03:03.053647Z",
-     "iopub.status.idle": "2026-05-29T21:03:03.061984Z",
-     "shell.execute_reply": "2026-05-29T21:03:03.061558Z"
+     "iopub.execute_input": "2026-05-29T21:49:28.136102Z",
+     "iopub.status.busy": "2026-05-29T21:49:28.135980Z",
+     "iopub.status.idle": "2026-05-29T21:49:28.145396Z",
+     "shell.execute_reply": "2026-05-29T21:49:28.145004Z"
     }
    },
    "outputs": [
@@ -157,10 +157,10 @@
    "id": "08d92b3e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:03:03.063138Z",
-     "iopub.status.busy": "2026-05-29T21:03:03.063066Z",
-     "iopub.status.idle": "2026-05-29T21:03:03.138006Z",
-     "shell.execute_reply": "2026-05-29T21:03:03.137563Z"
+     "iopub.execute_input": "2026-05-29T21:49:28.146543Z",
+     "iopub.status.busy": "2026-05-29T21:49:28.146465Z",
+     "iopub.status.idle": "2026-05-29T21:49:28.221503Z",
+     "shell.execute_reply": "2026-05-29T21:49:28.221116Z"
     }
    },
    "outputs": [
@@ -222,10 +222,10 @@
    "id": "85b00c73",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:03:03.139222Z",
-     "iopub.status.busy": "2026-05-29T21:03:03.139137Z",
-     "iopub.status.idle": "2026-05-29T21:03:03.258258Z",
-     "shell.execute_reply": "2026-05-29T21:03:03.257764Z"
+     "iopub.execute_input": "2026-05-29T21:49:28.222714Z",
+     "iopub.status.busy": "2026-05-29T21:49:28.222640Z",
+     "iopub.status.idle": "2026-05-29T21:49:28.343643Z",
+     "shell.execute_reply": "2026-05-29T21:49:28.343213Z"
     }
    },
    "outputs": [
@@ -800,22 +800,22 @@
        "    area_label:            u\n",
        "    branded_variable:      ta_tavg-al-hxy-u\n",
        "    branding_suffix:       tavg-al-hxy-u\n",
-       "    creation_date:         2026-05-29T21:03:03Z\n",
+       "    creation_date:         2026-05-29T21:49:28Z\n",
        "    ...                    ...\n",
        "    variable_id:           ta\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        al\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
        "    cmor_version:          3.15.1\n",
-       "    tracking_id:           hdl:21.14107/44812329-06b5-48f1-b68f-5681f1d7007c</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-fc320893-5ada-4318-84eb-81aca5d84ee2' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-fc320893-5ada-4318-84eb-81aca5d84ee2' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lev</span>: 5</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div></li><li class='xr-section-item'><input id='section-d364c8eb-296d-46a0-a1e9-e9df7d9e674d' class='xr-section-summary-in' type='checkbox' checked /><label for='section-d364c8eb-296d-46a0-a1e9-e9df7d9e674d' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0</div><input id='attrs-0c37df58-4651-4c8b-ab8e-e7a4b045fb2e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c37df58-4651-4c8b-ab8e-e7a4b045fb2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c22a866-e997-41c5-969d-97e74050b2d7' class='xr-var-data-in' type='checkbox'><label for='data-8c22a866-e997-41c5-969d-97e74050b2d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.95 0.75 0.5 0.25 0.05</div><input id='attrs-ecaf7bf2-0df4-4654-8bbb-4a14a417003e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ecaf7bf2-0df4-4654-8bbb-4a14a417003e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f81398b-9310-4d7f-a15c-093e1d6028d1' class='xr-var-data-in' type='checkbox'><label for='data-2f81398b-9310-4d7f-a15c-093e1d6028d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lev_bnds</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>hybrid sigma pressure coordinate</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a b: b ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([0.95, 0.75, 0.5 , 0.25, 0.05])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-936f4b56-1432-441f-901d-1f55a9c335d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-936f4b56-1432-441f-901d-1f55a9c335d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24ace385-f8d1-457e-ae36-29ca4d047deb' class='xr-var-data-in' type='checkbox'><label for='data-24ace385-f8d1-457e-ae36-29ca4d047deb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
-       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-6257498d-8e27-4169-8267-740cae2b4747' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6257498d-8e27-4169-8267-740cae2b4747' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91017620-1e7a-4abc-944f-b8fce44d4da6' class='xr-var-data-in' type='checkbox'><label for='data-91017620-1e7a-4abc-944f-b8fce44d4da6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
+       "    tracking_id:           hdl:21.14107/9192cf35-f059-41e0-81ac-9ef2a874af73</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3e97a383-c1ca-4828-a31a-f63900962d8e' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-3e97a383-c1ca-4828-a31a-f63900962d8e' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lev</span>: 5</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div></li><li class='xr-section-item'><input id='section-fab83571-be40-4740-898a-0ad58a19c279' class='xr-section-summary-in' type='checkbox' checked /><label for='section-fab83571-be40-4740-898a-0ad58a19c279' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0</div><input id='attrs-3f809514-ea68-4b21-9f9c-13d10c23c4b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f809514-ea68-4b21-9f9c-13d10c23c4b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd5ae7b4-07d0-41ff-995e-13daf85574d2' class='xr-var-data-in' type='checkbox'><label for='data-bd5ae7b4-07d0-41ff-995e-13daf85574d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.95 0.75 0.5 0.25 0.05</div><input id='attrs-fe39d5b4-108f-4573-a3e3-ed7e8f3c7262' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe39d5b4-108f-4573-a3e3-ed7e8f3c7262' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a35e6d85-0dab-4f1a-8e2e-c469ca92b3cb' class='xr-var-data-in' type='checkbox'><label for='data-a35e6d85-0dab-4f1a-8e2e-c469ca92b3cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lev_bnds</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>hybrid sigma pressure coordinate</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a b: b ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([0.95, 0.75, 0.5 , 0.25, 0.05])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-6ff1e964-f339-4479-a62c-19b6af41c44a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ff1e964-f339-4479-a62c-19b6af41c44a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c52debe-969a-4656-90d6-6ddf5f097576' class='xr-var-data-in' type='checkbox'><label for='data-4c52debe-969a-4656-90d6-6ddf5f097576' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
+       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-cdc94818-8991-4a06-9d42-faaeb5eaa481' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cdc94818-8991-4a06-9d42-faaeb5eaa481' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2bffeae8-daec-4ed1-be09-5fa81bac9ac6' class='xr-var-data-in' type='checkbox'><label for='data-2bffeae8-daec-4ed1-be09-5fa81bac9ac6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
        "       125., 135., 145., 155., 165., 175., 185., 195., 205., 215., 225., 235.,\n",
-       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1490fec0-5517-4f75-a051-3314c951789b' class='xr-section-summary-in' type='checkbox' checked /><label for='section-1490fec0-5517-4f75-a051-3314c951789b' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0</div><input id='attrs-58f7e0a1-9dba-486a-ac39-826244cef186' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-58f7e0a1-9dba-486a-ac39-826244cef186' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f62fd40-8f14-49ca-9ffc-32bb53972e7d' class='xr-var-data-in' type='checkbox'><label for='data-5f62fd40-8f14-49ca-9ffc-32bb53972e7d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
-       "       [30., 60.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lev_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.85 0.85 ... 0.125 0.125 0.0</div><input id='attrs-56567068-450b-450c-9e20-80fec3691341' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56567068-450b-450c-9e20-80fec3691341' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fe81746-75f1-4a67-bcf7-f0059a494cba' class='xr-var-data-in' type='checkbox'><label for='data-3fe81746-75f1-4a67-bcf7-f0059a494cba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a_bnds b: b_bnds ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([[1.   , 0.85 ],\n",
+       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9296cc5d-b205-40dd-acc2-4c9f8b07d395' class='xr-section-summary-in' type='checkbox' checked /><label for='section-9296cc5d-b205-40dd-acc2-4c9f8b07d395' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0</div><input id='attrs-150f5fd8-abf7-4d2d-9226-67eec5f74a25' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-150f5fd8-abf7-4d2d-9226-67eec5f74a25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02825bbd-fd3d-42ed-a814-4852a143f505' class='xr-var-data-in' type='checkbox'><label for='data-02825bbd-fd3d-42ed-a814-4852a143f505' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
+       "       [30., 60.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lev_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.85 0.85 ... 0.125 0.125 0.0</div><input id='attrs-537d0e22-5e3a-45a9-9917-9d0aa8f05b15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-537d0e22-5e3a-45a9-9917-9d0aa8f05b15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f963cee-fcd8-421a-a230-6043b509c7d8' class='xr-var-data-in' type='checkbox'><label for='data-6f963cee-fcd8-421a-a230-6043b509c7d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a_bnds b: b_bnds ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([[1.   , 0.85 ],\n",
        "       [0.85 , 0.625],\n",
        "       [0.625, 0.375],\n",
        "       [0.375, 0.125],\n",
-       "       [0.125, 0.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p0</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05</div><input id='attrs-cc24ab45-632e-4072-be10-a1e7ce67477f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc24ab45-632e-4072-be10-a1e7ce67477f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e6c3cf0-0b6b-4725-b86c-e27d80d9598e' class='xr-var-data-in' type='checkbox'><label for='data-1e6c3cf0-0b6b-4725-b86c-e27d80d9598e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>reference_air_pressure_for_atmosphere_vertical_coordinate</dd><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: reference pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array(100000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.02 0.05 0.1 0.2 0.35</div><input id='attrs-be2478b9-f43b-44d0-9d39-352b4a015ba7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be2478b9-f43b-44d0-9d39-352b4a015ba7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea5cebca-8a00-4703-b9b8-d84551df0c8e' class='xr-var-data-in' type='checkbox'><label for='data-ea5cebca-8a00-4703-b9b8-d84551df0c8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a</dd></dl></div><div class='xr-var-data'><pre>array([0.02, 0.05, 0.1 , 0.2 , 0.35])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9 0.7 0.45 0.2 0.03</div><input id='attrs-62226403-173f-4bc8-9016-c686f520c09f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62226403-173f-4bc8-9016-c686f520c09f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-219fe73d-23c2-4558-a95e-a37cc69969bf' class='xr-var-data-in' type='checkbox'><label for='data-219fe73d-23c2-4558-a95e-a37cc69969bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b</dd></dl></div><div class='xr-var-data'><pre>array([0.9 , 0.7 , 0.45, 0.2 , 0.03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ps</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>8.639e+04 8.638e+04 ... 8.654e+04</div><input id='attrs-b7018c3c-9ec7-4b5e-b54a-24aaa15197e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b7018c3c-9ec7-4b5e-b54a-24aaa15197e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e47588f2-8fd1-4e54-98b8-b6ca1a584166' class='xr-var-data-in' type='checkbox'><label for='data-e47588f2-8fd1-4e54-98b8-b6ca1a584166' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>long_name :</span></dt><dd>Surface Air Pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array([[[86390.016, 86380.93 , 86363.05 , ..., 86363.05 , 86380.93 ,\n",
+       "       [0.125, 0.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p0</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05</div><input id='attrs-c3ac6f52-c01c-43b5-bed6-d2b9649f67c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3ac6f52-c01c-43b5-bed6-d2b9649f67c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9b77c36-5208-4f7b-8193-e00d4d178d93' class='xr-var-data-in' type='checkbox'><label for='data-b9b77c36-5208-4f7b-8193-e00d4d178d93' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>reference_air_pressure_for_atmosphere_vertical_coordinate</dd><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: reference pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array(100000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.02 0.05 0.1 0.2 0.35</div><input id='attrs-2c1dd661-bd42-4d64-b448-530783a18286' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c1dd661-bd42-4d64-b448-530783a18286' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-272e45ba-80fa-4b0e-8174-6f7f52e5bff8' class='xr-var-data-in' type='checkbox'><label for='data-272e45ba-80fa-4b0e-8174-6f7f52e5bff8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a</dd></dl></div><div class='xr-var-data'><pre>array([0.02, 0.05, 0.1 , 0.2 , 0.35])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9 0.7 0.45 0.2 0.03</div><input id='attrs-78f2b04f-4cde-4e05-952f-fc8ec7afbba7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78f2b04f-4cde-4e05-952f-fc8ec7afbba7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80d44c28-d969-4f5d-b9f4-6647b7ef4688' class='xr-var-data-in' type='checkbox'><label for='data-80d44c28-d969-4f5d-b9f4-6647b7ef4688' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b</dd></dl></div><div class='xr-var-data'><pre>array([0.9 , 0.7 , 0.45, 0.2 , 0.03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ps</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>8.639e+04 8.638e+04 ... 8.654e+04</div><input id='attrs-d9680a80-5063-4a75-8efe-aee7c290d08b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9680a80-5063-4a75-8efe-aee7c290d08b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9da1568a-d610-4447-89d6-bbce56bbe8b2' class='xr-var-data-in' type='checkbox'><label for='data-9da1568a-d610-4447-89d6-bbce56bbe8b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>long_name :</span></dt><dd>Surface Air Pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array([[[86390.016, 86380.93 , 86363.05 , ..., 86363.05 , 86380.93 ,\n",
        "         86390.016],\n",
        "        [87102.7  , 87093.625, 87075.74 , ..., 87075.74 , 87093.625,\n",
        "         87102.7  ],\n",
@@ -841,15 +841,15 @@
        "        [87252.7  , 87243.625, 87225.74 , ..., 87225.74 , 87243.625,\n",
        "         87252.7  ],\n",
        "        [86540.016, 86530.93 , 86513.05 , ..., 86513.05 , 86530.93 ,\n",
-       "         86540.016]]], shape=(2, 18, 36), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.035 0.035 ... 0.275 0.45</div><input id='attrs-335b485e-ce9e-4f67-b883-0f325258028f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-335b485e-ce9e-4f67-b883-0f325258028f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29044911-1d65-414b-84e8-fe5cf7b35128' class='xr-var-data-in' type='checkbox'><label for='data-29044911-1d65-414b-84e8-fe5cf7b35128' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[0.   , 0.035],\n",
+       "         86540.016]]], shape=(2, 18, 36), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.035 0.035 ... 0.275 0.45</div><input id='attrs-5397c4d7-52c9-4283-9970-759420ef43e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5397c4d7-52c9-4283-9970-759420ef43e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f45ff66c-27ab-4e5f-a170-9535fbb199c6' class='xr-var-data-in' type='checkbox'><label for='data-f45ff66c-27ab-4e5f-a170-9535fbb199c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[0.   , 0.035],\n",
        "       [0.035, 0.075],\n",
        "       [0.075, 0.15 ],\n",
        "       [0.15 , 0.275],\n",
-       "       [0.275, 0.45 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.8 0.8 ... 0.115 0.115 0.0</div><input id='attrs-a6850c3b-6b1b-423d-b4c4-eedc0ea70601' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6850c3b-6b1b-423d-b4c4-eedc0ea70601' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86baec80-45fb-412c-b899-0a3d72222776' class='xr-var-data-in' type='checkbox'><label for='data-86baec80-45fb-412c-b899-0a3d72222776' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[1.   , 0.8  ],\n",
+       "       [0.275, 0.45 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.8 0.8 ... 0.115 0.115 0.0</div><input id='attrs-d93981b0-6faa-4d2d-a845-5072caef643d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d93981b0-6faa-4d2d-a845-5072caef643d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-853cdb95-e862-43fe-bafc-54a68b8aa3e5' class='xr-var-data-in' type='checkbox'><label for='data-853cdb95-e862-43fe-bafc-54a68b8aa3e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[1.   , 0.8  ],\n",
        "       [0.8  , 0.575],\n",
        "       [0.575, 0.325],\n",
        "       [0.325, 0.115],\n",
-       "       [0.115, 0.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-d39de839-da7d-445a-9982-fe8b2c865042' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d39de839-da7d-445a-9982-fe8b2c865042' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be0d78e4-dad9-4347-879f-b9f33bd2cf07' class='xr-var-data-in' type='checkbox'><label for='data-be0d78e4-dad9-4347-879f-b9f33bd2cf07' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
+       "       [0.115, 0.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-d29e0f8c-b23f-43a1-a1ae-8cc355a079e8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d29e0f8c-b23f-43a1-a1ae-8cc355a079e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-126a4e9c-6c3a-4329-9df5-860651eaf55c' class='xr-var-data-in' type='checkbox'><label for='data-126a4e9c-6c3a-4329-9df5-860651eaf55c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
        "       [-80., -70.],\n",
        "       [-70., -60.],\n",
        "       [-60., -50.],\n",
@@ -866,7 +866,7 @@
        "       [ 50.,  60.],\n",
        "       [ 60.,  70.],\n",
        "       [ 70.,  80.],\n",
-       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-7e43c501-518a-4b09-82bd-c368df7986fc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7e43c501-518a-4b09-82bd-c368df7986fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a70a3488-8afc-4304-8bcc-9b10a2cc2599' class='xr-var-data-in' type='checkbox'><label for='data-a70a3488-8afc-4304-8bcc-9b10a2cc2599' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
+       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-27741543-a8b0-4b87-930f-8cfe9613d7ae' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-27741543-a8b0-4b87-930f-8cfe9613d7ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-351e6ef8-ff73-47d4-8c3d-600703c287df' class='xr-var-data-in' type='checkbox'><label for='data-351e6ef8-ff73-47d4-8c3d-600703c287df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
        "       [ 10.,  20.],\n",
        "       [ 20.,  30.],\n",
        "       [ 30.,  40.],\n",
@@ -901,7 +901,7 @@
        "       [320., 330.],\n",
        "       [330., 340.],\n",
        "       [340., 350.],\n",
-       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>258.5 258.4 258.4 ... 209.9 210.0</div><input id='attrs-4223074e-17b6-4b31-9503-0dd88e1ec553' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4223074e-17b6-4b31-9503-0dd88e1ec553' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-069eaf67-260a-491a-8d82-a7bc3dd8fee1' class='xr-var-data-in' type='checkbox'><label for='data-069eaf67-260a-491a-8d82-a7bc3dd8fee1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[258.4741 , 258.44382, 258.3842 , ..., 258.3842 , 258.44382,\n",
+       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>258.5 258.4 258.4 ... 209.9 210.0</div><input id='attrs-cb68b21b-45ed-4459-9b62-34fe85415cbb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb68b21b-45ed-4459-9b62-34fe85415cbb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-195eff23-ba3f-45bb-a6d4-35088bde46b3' class='xr-var-data-in' type='checkbox'><label for='data-195eff23-ba3f-45bb-a6d4-35088bde46b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[258.4741 , 258.44382, 258.3842 , ..., 258.3842 , 258.44382,\n",
        "          258.4741 ],\n",
        "         [260.25583, 260.22556, 260.16592, ..., 260.16592, 260.22556,\n",
        "          260.25583],\n",
@@ -941,7 +941,7 @@
        "         [211.75581, 211.72554, 211.66592, ..., 211.66592, 211.72554,\n",
        "          211.75581],\n",
        "         [209.97408, 209.94382, 209.88419, ..., 209.88419, 209.94382,\n",
-       "          209.97408]]]], shape=(2, 5, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f94090f8-7a26-4456-af5d-9177165a102e' class='xr-section-summary-in' type='checkbox' /><label for='section-f94090f8-7a26-4456-af5d-9177165a102e' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>ta_tavg-al-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-al-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T21:03:03Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T21:03:03Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>variable_id :</span></dt><dd>ta</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>al</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/44812329-06b5-48f1-b68f-5681f1d7007c</dd></dl></div></li></ul></div></div>"
+       "          209.97408]]]], shape=(2, 5, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-66a399fc-40ea-422e-92ee-e17138cb6bf8' class='xr-section-summary-in' type='checkbox' /><label for='section-66a399fc-40ea-422e-92ee-e17138cb6bf8' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>ta_tavg-al-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-al-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T21:49:28Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T21:49:28Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>variable_id :</span></dt><dd>ta</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>al</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/9192cf35-f059-41e0-81ac-9ef2a874af73</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 33kB\n",
@@ -970,14 +970,14 @@
        "    area_label:            u\n",
        "    branded_variable:      ta_tavg-al-hxy-u\n",
        "    branding_suffix:       tavg-al-hxy-u\n",
-       "    creation_date:         2026-05-29T21:03:03Z\n",
+       "    creation_date:         2026-05-29T21:49:28Z\n",
        "    ...                    ...\n",
        "    variable_id:           ta\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        al\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
        "    cmor_version:          3.15.1\n",
-       "    tracking_id:           hdl:21.14107/44812329-06b5-48f1-b68f-5681f1d7007c"
+       "    tracking_id:           hdl:21.14107/9192cf35-f059-41e0-81ac-9ef2a874af73"
       ]
      },
      "execution_count": 4,
@@ -994,68 +994,13 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "778254c2",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-29T21:03:03.259513Z",
-     "iopub.status.busy": "2026-05-29T21:03:03.259421Z",
-     "iopub.status.idle": "2026-05-29T21:03:03.262499Z",
-     "shell.execute_reply": "2026-05-29T21:03:03.262067Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<xarray.Dataset> Size: 32kB\n",
-      "Dimensions:  (time: 2, lev: 5, lat: 18, lon: 36)\n",
-      "Coordinates:\n",
-      "  * time     (time) float64 16B 15.0 45.0\n",
-      "  * lev      (lev) float64 40B 0.95 0.75 0.5 0.25 0.05\n",
-      "  * lat      (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 55.0 65.0 75.0 85.0\n",
-      "  * lon      (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
-      "Data variables:\n",
-      "    ta       (time, lev, lat, lon) float32 26kB 258.5 258.4 ... 209.9 210.0\n",
-      "    ps       (time, lat, lon) float32 5kB 8.639e+04 8.638e+04 ... 8.654e+04\n",
-      "    a        (lev) float64 40B 0.02 0.05 0.1 0.2 0.35\n",
-      "    b        (lev) float64 40B 0.9 0.7 0.45 0.2 0.03\n",
-      "    p0       float64 8B 1e+05\n",
-      "Attributes: (12/40)\n",
-      "    Conventions:           CF-1.12\n",
-      "    activity_id:           CMIP\n",
-      "    area_label:            u\n",
-      "    branded_variable:      ta_tavg-al-hxy-u\n",
-      "    branding_suffix:       tavg-al-hxy-u\n",
-      "    creation_date:         2026-05-29T21:03:03Z\n",
-      "    ...                    ...\n",
-      "    variable_id:           ta\n",
-      "    variant_label:         r9i1p1f3\n",
-      "    vertical_label:        al\n",
-      "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-      "    cmor_version:          3.15.1\n",
-      "    tracking_id:           hdl:21.14107/44812329-06b5-48f1-b68f-5681f1d7007c\n",
-      "lev formula_terms: p0: p0 a: a b: b ps: ps\n",
-      "lev formula: p = a*p0 + b*ps\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(ds[[\"ta\", \"ps\", \"a\", \"b\", \"p0\"]])\n",
-    "print(\"lev formula_terms:\", ds[\"lev\"].attrs.get(\"formula_terms\"))\n",
-    "print(\"lev formula:\", ds[\"lev\"].attrs.get(\"formula\"))\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
    "id": "07c200fc",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:03:03.263613Z",
-     "iopub.status.busy": "2026-05-29T21:03:03.263537Z",
-     "iopub.status.idle": "2026-05-29T21:03:03.399534Z",
-     "shell.execute_reply": "2026-05-29T21:03:03.399108Z"
+     "iopub.execute_input": "2026-05-29T21:49:28.344929Z",
+     "iopub.status.busy": "2026-05-29T21:49:28.344836Z",
+     "iopub.status.idle": "2026-05-29T21:49:28.480518Z",
+     "shell.execute_reply": "2026-05-29T21:49:28.480004Z"
     }
    },
    "outputs": [
diff --git a/notebooks/05_curvilinear_ocean_grid.ipynb b/notebooks/05_curvilinear_ocean_grid.ipynb
index 24778dd4..c06c7e91 100644
--- a/notebooks/05_curvilinear_ocean_grid.ipynb
+++ b/notebooks/05_curvilinear_ocean_grid.ipynb
@@ -5,7 +5,7 @@
    "id": "7bbd1cab",
    "metadata": {},
    "source": [
-    "# 05 - Ocean Surface Temperature On A Curvilinear Grid\n",
+    "# Ocean Surface Temperature On A Curvilinear Grid\n",
     "\n",
     "Create a CMIP7 monthly sea surface temperature file (`tos_tavg-u-hxy-sea`) using `cmor.grid` with two-dimensional latitude and longitude coordinates."
    ]
@@ -16,10 +16,10 @@
    "id": "b1ff03ee",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:06:56.313566Z",
-     "iopub.status.busy": "2026-05-29T21:06:56.313417Z",
-     "iopub.status.idle": "2026-05-29T21:06:56.807862Z",
-     "shell.execute_reply": "2026-05-29T21:06:56.807347Z"
+     "iopub.execute_input": "2026-05-29T21:51:45.142833Z",
+     "iopub.status.busy": "2026-05-29T21:51:45.142654Z",
+     "iopub.status.idle": "2026-05-29T21:51:45.631848Z",
+     "shell.execute_reply": "2026-05-29T21:51:45.631358Z"
     }
    },
    "outputs": [
@@ -66,10 +66,10 @@
    "id": "88d6766e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:06:56.809284Z",
-     "iopub.status.busy": "2026-05-29T21:06:56.809150Z",
-     "iopub.status.idle": "2026-05-29T21:06:56.828287Z",
-     "shell.execute_reply": "2026-05-29T21:06:56.827955Z"
+     "iopub.execute_input": "2026-05-29T21:51:45.633188Z",
+     "iopub.status.busy": "2026-05-29T21:51:45.633069Z",
+     "iopub.status.idle": "2026-05-29T21:51:45.652447Z",
+     "shell.execute_reply": "2026-05-29T21:51:45.652115Z"
     }
    },
    "outputs": [
@@ -169,10 +169,10 @@
    "id": "ab381eda",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:06:56.829512Z",
-     "iopub.status.busy": "2026-05-29T21:06:56.829424Z",
-     "iopub.status.idle": "2026-05-29T21:06:56.900197Z",
-     "shell.execute_reply": "2026-05-29T21:06:56.899905Z"
+     "iopub.execute_input": "2026-05-29T21:51:45.653863Z",
+     "iopub.status.busy": "2026-05-29T21:51:45.653789Z",
+     "iopub.status.idle": "2026-05-29T21:51:45.727780Z",
+     "shell.execute_reply": "2026-05-29T21:51:45.727358Z"
     }
    },
    "outputs": [
@@ -239,10 +239,10 @@
    "id": "98246667",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:06:56.901486Z",
-     "iopub.status.busy": "2026-05-29T21:06:56.901412Z",
-     "iopub.status.idle": "2026-05-29T21:06:57.022397Z",
-     "shell.execute_reply": "2026-05-29T21:06:57.021922Z"
+     "iopub.execute_input": "2026-05-29T21:51:45.728903Z",
+     "iopub.status.busy": "2026-05-29T21:51:45.728832Z",
+     "iopub.status.idle": "2026-05-29T21:51:45.851334Z",
+     "shell.execute_reply": "2026-05-29T21:51:45.850792Z"
     }
    },
    "outputs": [
@@ -811,17 +811,17 @@
        "    area_label:            sea\n",
        "    branded_variable:      tos_tavg-u-hxy-sea\n",
        "    branding_suffix:       tavg-u-hxy-sea\n",
-       "    creation_date:         2026-05-29T21:06:56Z\n",
+       "    creation_date:         2026-05-29T21:51:45Z\n",
        "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/38ff9c87-a3cb-4e4a-8134-c907dee93258\n",
+       "    tracking_id:           hdl:21.14107/26a6313a-7e7f-4542-9a9e-f6449f0b2fca\n",
        "    variable_id:           tos\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-4e7280d6-7a0b-455a-878b-567822f5452a' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-4e7280d6-7a0b-455a-878b-567822f5452a' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>y</span>: 18</li><li><span class='xr-has-index'>x</span>: 36</li><li><span>vertices</span>: 4</li></ul></div></li><li class='xr-section-item'><input id='section-8f5bdd03-0165-43b3-b2ea-c6c67e9e3c10' class='xr-section-summary-in' type='checkbox' checked /><label for='section-8f5bdd03-0165-43b3-b2ea-c6c67e9e3c10' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0</div><input id='attrs-baf3fa0d-39a2-405b-8db4-a833cd6f5577' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-baf3fa0d-39a2-405b-8db4-a833cd6f5577' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fbe282d6-a0a5-4fad-8c37-c091a83c7cf9' class='xr-var-data-in' type='checkbox'><label for='data-fbe282d6-a0a5-4fad-8c37-c091a83c7cf9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 15.0 16.0 17.0</div><input id='attrs-d193d6e6-c22c-449d-8c9e-17cbbc69394c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d193d6e6-c22c-449d-8c9e-17cbbc69394c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f23c90e-f859-4734-a69a-21878e611a35' class='xr-var-data-in' type='checkbox'><label for='data-9f23c90e-f859-4734-a69a-21878e611a35' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
-       "       14., 15., 16., 17.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 33.0 34.0 35.0</div><input id='attrs-491758ea-73eb-441a-b0db-ff50f0847e8b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-491758ea-73eb-441a-b0db-ff50f0847e8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-556ae738-3958-4e62-8c8c-8964929fed8d' class='xr-var-data-in' type='checkbox'><label for='data-556ae738-3958-4e62-8c8c-8964929fed8d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5fe395e4-813c-4ee6-b471-266137d05f92' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-5fe395e4-813c-4ee6-b471-266137d05f92' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>y</span>: 18</li><li><span class='xr-has-index'>x</span>: 36</li><li><span>vertices</span>: 4</li></ul></div></li><li class='xr-section-item'><input id='section-59911357-ec8e-4bc0-a2c9-74389d4ecfdf' class='xr-section-summary-in' type='checkbox' checked /><label for='section-59911357-ec8e-4bc0-a2c9-74389d4ecfdf' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0</div><input id='attrs-38385059-e59b-44b0-bf05-c358d400d80e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38385059-e59b-44b0-bf05-c358d400d80e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd6c44b5-33b7-48f7-af64-c1953d09b3d0' class='xr-var-data-in' type='checkbox'><label for='data-bd6c44b5-33b7-48f7-af64-c1953d09b3d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 15.0 16.0 17.0</div><input id='attrs-4340d5d4-16a0-44ac-8316-15e339640d4d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4340d5d4-16a0-44ac-8316-15e339640d4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be701264-5929-45bd-842d-3e2f86b75f6c' class='xr-var-data-in' type='checkbox'><label for='data-be701264-5929-45bd-842d-3e2f86b75f6c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
+       "       14., 15., 16., 17.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 33.0 34.0 35.0</div><input id='attrs-d263ddd3-0196-437e-84a8-b5bdfd4ae649' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d263ddd3-0196-437e-84a8-b5bdfd4ae649' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-137cddda-5131-464e-9912-9d289425964f' class='xr-var-data-in' type='checkbox'><label for='data-137cddda-5131-464e-9912-9d289425964f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
        "       14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27.,\n",
-       "       28., 29., 30., 31., 32., 33., 34., 35.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-84.99 -84.97 ... 84.97 84.99</div><input id='attrs-3ab62514-3df4-489e-a426-a08996564368' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ab62514-3df4-489e-a426-a08996564368' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-010eda9b-5ad2-4fd4-9571-42f2f3d6f01b' class='xr-var-data-in' type='checkbox'><label for='data-010eda9b-5ad2-4fd4-9571-42f2f3d6f01b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>bounds :</span></dt><dd>vertices_latitude</dd></dl></div><div class='xr-var-data'><pre>array([[-84.98860581, -84.96616365, -84.94474959, -84.92501428,\n",
+       "       28., 29., 30., 31., 32., 33., 34., 35.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-84.99 -84.97 ... 84.97 84.99</div><input id='attrs-ece06456-c40c-43f3-a2f4-0d77b0321382' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ece06456-c40c-43f3-a2f4-0d77b0321382' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc30895d-8038-4e27-b476-a06739a1ca85' class='xr-var-data-in' type='checkbox'><label for='data-dc30895d-8038-4e27-b476-a06739a1ca85' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>bounds :</span></dt><dd>vertices_latitude</dd></dl></div><div class='xr-var-data'><pre>array([[-84.98860581, -84.96616365, -84.94474959, -84.92501428,\n",
        "        -84.90755737, -84.89290929, -84.88151511, -84.87372103,\n",
        "        -84.86976387, -84.86976387, -84.87372103, -84.88151511,\n",
        "        -84.89290929, -84.90755737, -84.92501428, -84.94474959,\n",
@@ -861,7 +861,7 @@
        "         84.94474959,  84.92501428,  84.90755737,  84.89290929,\n",
        "         84.88151511,  84.87372103,  84.86976387,  84.86976387,\n",
        "         84.87372103,  84.88151511,  84.89290929,  84.90755737,\n",
-       "         84.92501428,  84.94474959,  84.96616365,  84.98860581]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.506 13.51 23.51 ... 346.5 356.5</div><input id='attrs-70b6bb0b-4d4f-4c78-8e49-7298c0016410' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70b6bb0b-4d4f-4c78-8e49-7298c0016410' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-980b3805-4db9-4890-a854-cab8d6a0a3f6' class='xr-var-data-in' type='checkbox'><label for='data-980b3805-4db9-4890-a854-cab8d6a0a3f6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>bounds :</span></dt><dd>vertices_longitude</dd></dl></div><div class='xr-var-data'><pre>array([[  3.50570795,  13.50570795,  23.50570795,  33.50570795,\n",
+       "         84.92501428,  84.94474959,  84.96616365,  84.98860581]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.506 13.51 23.51 ... 346.5 356.5</div><input id='attrs-5ca731e5-1719-4975-abd6-4ba6deaed695' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5ca731e5-1719-4975-abd6-4ba6deaed695' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-991a713c-2ff2-46b3-8472-06bdc5328c06' class='xr-var-data-in' type='checkbox'><label for='data-991a713c-2ff2-46b3-8472-06bdc5328c06' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>bounds :</span></dt><dd>vertices_longitude</dd></dl></div><div class='xr-var-data'><pre>array([[  3.50570795,  13.50570795,  23.50570795,  33.50570795,\n",
        "         43.50570795,  53.50570795,  63.50570795,  73.50570795,\n",
        "         83.50570795,  93.50570795, 103.50570795, 113.50570795,\n",
        "        123.50570795, 133.50570795, 143.50570795, 153.50570795,\n",
@@ -901,8 +901,8 @@
        "        206.49429205, 216.49429205, 226.49429205, 236.49429205,\n",
        "        246.49429205, 256.49429205, 266.49429205, 276.49429205,\n",
        "        286.49429205, 296.49429205, 306.49429205, 316.49429205,\n",
-       "        326.49429205, 336.49429205, 346.49429205, 356.49429205]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e06ade78-7429-4716-a26c-fdd0e0f81cbc' class='xr-section-summary-in' type='checkbox' checked /><label for='section-e06ade78-7429-4716-a26c-fdd0e0f81cbc' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0</div><input id='attrs-a12452b4-83a5-4ead-b8ee-0b704af1fc49' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a12452b4-83a5-4ead-b8ee-0b704af1fc49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5819551e-10af-46ec-9075-9750c3b03ab8' class='xr-var-data-in' type='checkbox'><label for='data-5819551e-10af-46ec-9075-9750c3b03ab8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
-       "       [30., 60.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_latitude</span></div><div class='xr-var-dims'>(y, x, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -90.0 -79.95 ... 90.0 90.0</div><input id='attrs-ca6f9b0f-8c58-4900-9dd0-b7a3029d869f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca6f9b0f-8c58-4900-9dd0-b7a3029d869f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d855373c-098f-47c6-82c3-e8c6459a4ede' class='xr-var-data-in' type='checkbox'><label for='data-d855373c-098f-47c6-82c3-e8c6459a4ede' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[[-90.        , -90.        , -79.95476947, -80.        ],\n",
+       "        326.49429205, 336.49429205, 346.49429205, 356.49429205]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c45768a1-7788-4cd5-9ff5-ad7472bdba32' class='xr-section-summary-in' type='checkbox' checked /><label for='section-c45768a1-7788-4cd5-9ff5-ad7472bdba32' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0</div><input id='attrs-6499a0ee-9c5c-43bd-87b5-4fd6ed3cfdcf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6499a0ee-9c5c-43bd-87b5-4fd6ed3cfdcf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2897bd56-e849-479a-a3f7-57054ac3601d' class='xr-var-data-in' type='checkbox'><label for='data-2897bd56-e849-479a-a3f7-57054ac3601d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
+       "       [30., 60.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_latitude</span></div><div class='xr-var-dims'>(y, x, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -90.0 -79.95 ... 90.0 90.0</div><input id='attrs-3c048f23-dd52-4744-a510-0decceefcf83' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c048f23-dd52-4744-a510-0decceefcf83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-122cba35-11b4-4f9c-8cfb-b9cee4697da5' class='xr-var-data-in' type='checkbox'><label for='data-122cba35-11b4-4f9c-8cfb-b9cee4697da5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[[-90.        , -90.        , -79.95476947, -80.        ],\n",
        "        [-90.        , -90.        , -79.91091324, -79.95476947],\n",
        "        [-90.        , -90.        , -79.86976387, -79.91091324],\n",
        "        ...,\n",
@@ -942,7 +942,7 @@
        "        [ 79.86976387,  79.91091324,  90.        ,  90.        ],\n",
        "        [ 79.91091324,  79.95476947,  90.        ,  90.        ],\n",
        "        [ 79.95476947,  80.        ,  90.        ,  90.        ]]],\n",
-       "      shape=(18, 36, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_longitude</span></div><div class='xr-var-dims'>(y, x, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>358.5 8.5 8.523 ... 1.477 1.5 351.5</div><input id='attrs-31566627-bbed-4899-8e03-504db7eff8c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31566627-bbed-4899-8e03-504db7eff8c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91e74e02-6e57-4320-a407-b0826f08fca4' class='xr-var-data-in' type='checkbox'><label for='data-91e74e02-6e57-4320-a407-b0826f08fca4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[[358.5       ,   8.5       ,   8.52278837, 358.52278837],\n",
+       "      shape=(18, 36, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_longitude</span></div><div class='xr-var-dims'>(y, x, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>358.5 8.5 8.523 ... 1.477 1.5 351.5</div><input id='attrs-05894162-9791-4ef7-ae9e-58323607a763' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05894162-9791-4ef7-ae9e-58323607a763' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31ab2abd-0a08-42d0-bd6b-40d8f73a502f' class='xr-var-data-in' type='checkbox'><label for='data-31ab2abd-0a08-42d0-bd6b-40d8f73a502f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[[358.5       ,   8.5       ,   8.52278837, 358.52278837],\n",
        "        [  8.5       ,  18.5       ,  18.52278837,   8.52278837],\n",
        "        [ 18.5       ,  28.5       ,  28.52278837,  18.52278837],\n",
        "        ...,\n",
@@ -982,7 +982,7 @@
        "        [331.47721163, 341.47721163, 341.5       , 331.5       ],\n",
        "        [341.47721163, 351.47721163, 351.5       , 341.5       ],\n",
        "        [351.47721163,   1.47721163,   1.5       , 351.5       ]]],\n",
-       "      shape=(18, 36, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-8.312 -8.349 ... -7.549 -7.512</div><input id='attrs-f01a9364-fe97-4fc1-99d7-758e9892d4ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f01a9364-fe97-4fc1-99d7-758e9892d4ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bbdb5dd7-3115-4d89-a864-d819e97cef84' class='xr-var-data-in' type='checkbox'><label for='data-bbdb5dd7-3115-4d89-a864-d819e97cef84' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd></dl></div><div class='xr-var-data'><pre>array([[[-8.312039 , -8.349005 , -8.430357 , ..., -8.471792 ,\n",
+       "      shape=(18, 36, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-8.312 -8.349 ... -7.549 -7.512</div><input id='attrs-5569080f-6377-425d-8426-47bc894d2ce1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5569080f-6377-425d-8426-47bc894d2ce1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5074ddee-3e77-410d-884e-cfb1d78903eb' class='xr-var-data-in' type='checkbox'><label for='data-5074ddee-3e77-410d-884e-cfb1d78903eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd></dl></div><div class='xr-var-data'><pre>array([[[-8.312039 , -8.349005 , -8.430357 , ..., -8.471792 ,\n",
        "         -8.37438  , -8.320584 ],\n",
        "        [-6.820808 , -6.8450875, -6.914289 , ..., -7.0179367,\n",
        "         -6.9085636, -6.842183 ],\n",
@@ -1008,7 +1008,7 @@
        "        [-6.0421834, -6.1085634, -6.217937 , ..., -6.1142893,\n",
        "         -6.0450873, -6.020808 ],\n",
        "        [-7.5205846, -7.57438  , -7.671792 , ..., -7.6303573,\n",
-       "         -7.5490046, -7.5120397]]], shape=(2, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2ebba088-b2c2-438c-9472-58ccb233cdba' class='xr-section-summary-in' type='checkbox' /><label for='section-2ebba088-b2c2-438c-9472-58ccb233cdba' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>tos_tavg-u-hxy-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-sea</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T21:06:56Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacello</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T21:06:56Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/38ff9c87-a3cb-4e4a-8134-c907dee93258</dd><dt><span>variable_id :</span></dt><dd>tos</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+       "         -7.5490046, -7.5120397]]], shape=(2, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-27c0d081-ba4a-412a-99af-f23374ee52e0' class='xr-section-summary-in' type='checkbox' /><label for='section-27c0d081-ba4a-412a-99af-f23374ee52e0' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>tos_tavg-u-hxy-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-sea</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T21:51:45Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacello</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T21:51:45Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/26a6313a-7e7f-4542-9a9e-f6449f0b2fca</dd><dt><span>variable_id :</span></dt><dd>tos</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 58kB\n",
@@ -1031,9 +1031,9 @@
        "    area_label:            sea\n",
        "    branded_variable:      tos_tavg-u-hxy-sea\n",
        "    branding_suffix:       tavg-u-hxy-sea\n",
-       "    creation_date:         2026-05-29T21:06:56Z\n",
+       "    creation_date:         2026-05-29T21:51:45Z\n",
        "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/38ff9c87-a3cb-4e4a-8134-c907dee93258\n",
+       "    tracking_id:           hdl:21.14107/26a6313a-7e7f-4542-9a9e-f6449f0b2fca\n",
        "    variable_id:           tos\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
@@ -1055,63 +1055,13 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "cb58c0ef",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-29T21:06:57.023618Z",
-     "iopub.status.busy": "2026-05-29T21:06:57.023524Z",
-     "iopub.status.idle": "2026-05-29T21:06:57.025994Z",
-     "shell.execute_reply": "2026-05-29T21:06:57.025698Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<xarray.Dataset> Size: 16kB\n",
-      "Dimensions:    (time: 2, y: 18, x: 36)\n",
-      "Coordinates:\n",
-      "  * time       (time) float64 16B 15.0 45.0\n",
-      "  * y          (y) float64 144B 0.0 1.0 2.0 3.0 4.0 ... 13.0 14.0 15.0 16.0 17.0\n",
-      "  * x          (x) float64 288B 0.0 1.0 2.0 3.0 4.0 ... 31.0 32.0 33.0 34.0 35.0\n",
-      "    latitude   (y, x) float64 5kB -84.99 -84.97 -84.94 ... 84.94 84.97 84.99\n",
-      "    longitude  (y, x) float64 5kB 3.506 13.51 23.51 33.51 ... 336.5 346.5 356.5\n",
-      "Data variables:\n",
-      "    tos        (time, y, x) float32 5kB -8.312 -8.349 -8.43 ... -7.549 -7.512\n",
-      "Attributes: (12/40)\n",
-      "    Conventions:           CF-1.12\n",
-      "    activity_id:           CMIP\n",
-      "    area_label:            sea\n",
-      "    branded_variable:      tos_tavg-u-hxy-sea\n",
-      "    branding_suffix:       tavg-u-hxy-sea\n",
-      "    creation_date:         2026-05-29T21:06:56Z\n",
-      "    ...                    ...\n",
-      "    tracking_id:           hdl:21.14107/38ff9c87-a3cb-4e4a-8134-c907dee93258\n",
-      "    variable_id:           tos\n",
-      "    variant_label:         r9i1p1f3\n",
-      "    vertical_label:        u\n",
-      "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-      "    cmor_version:          3.15.1\n",
-      "coordinates on tos: None\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(ds[[\"tos\", \"latitude\", \"longitude\"]])\n",
-    "print(\"coordinates on tos:\", ds[\"tos\"].attrs.get(\"coordinates\"))\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
    "id": "9148e5df",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:06:57.027181Z",
-     "iopub.status.busy": "2026-05-29T21:06:57.027097Z",
-     "iopub.status.idle": "2026-05-29T21:06:57.157795Z",
-     "shell.execute_reply": "2026-05-29T21:06:57.157395Z"
+     "iopub.execute_input": "2026-05-29T21:51:45.852612Z",
+     "iopub.status.busy": "2026-05-29T21:51:45.852518Z",
+     "iopub.status.idle": "2026-05-29T21:51:45.987033Z",
+     "shell.execute_reply": "2026-05-29T21:51:45.986585Z"
     }
    },
    "outputs": [

From dce86003710eaf355a2aa68694e3441bb789a551 Mon Sep 17 00:00:00 2001
From: Chris Mauzey <mauzey1@llnl.gov>
Date: Fri, 29 May 2026 15:07:14 -0700
Subject: [PATCH 05/25] Clean up notebooks

---
 .../01_basic_ocean_surface_temperature.ipynb  |  98 ++++++++---------
 .../02_atmos_surface_air_temperature.ipynb    |  98 ++++++++---------
 .../03_pressure_level_air_temperature.ipynb   | 100 ++++++++---------
 notebooks/04_hybrid_sigma_zfactors.ipynb      | 104 ++++++++----------
 notebooks/05_curvilinear_ocean_grid.ipynb     | 102 ++++++++---------
 5 files changed, 231 insertions(+), 271 deletions(-)

diff --git a/notebooks/01_basic_ocean_surface_temperature.ipynb b/notebooks/01_basic_ocean_surface_temperature.ipynb
index 88066806..d6cc6245 100644
--- a/notebooks/01_basic_ocean_surface_temperature.ipynb
+++ b/notebooks/01_basic_ocean_surface_temperature.ipynb
@@ -16,10 +16,10 @@
    "id": "1ef49a65",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:49:22.108484Z",
-     "iopub.status.busy": "2026-05-29T21:49:22.108322Z",
-     "iopub.status.idle": "2026-05-29T21:49:22.775658Z",
-     "shell.execute_reply": "2026-05-29T21:49:22.775292Z"
+     "iopub.execute_input": "2026-05-29T22:05:15.818675Z",
+     "iopub.status.busy": "2026-05-29T22:05:15.818546Z",
+     "iopub.status.idle": "2026-05-29T22:05:16.318746Z",
+     "shell.execute_reply": "2026-05-29T22:05:16.318382Z"
     }
    },
    "outputs": [
@@ -27,7 +27,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Using CMIP7 tables from /Users/mauzey1/Desktop/github/cmor/cmip7-cmor-tables\n"
+      "Using CMIP7 tables from ../cmip7-cmor-tables/tables\n"
      ]
     }
    ],
@@ -42,22 +42,14 @@
     "import numpy as np\n",
     "import xarray as xr\n",
     "\n",
-    "start = Path.cwd().resolve()\n",
-    "for candidate in (start, *start.parents):\n",
-    "    if (candidate / \"notebooks\" / \"NOTEBOOKS.md\").exists() or (candidate / \".git\").exists():\n",
-    "        REPO_ROOT = candidate\n",
-    "        break\n",
-    "else:\n",
-    "    REPO_ROOT = start\n",
-    "\n",
-    "TABLES_REPO = REPO_ROOT / \"cmip7-cmor-tables\"\n",
-    "TABLES_DIR = TABLES_REPO / \"tables\"\n",
-    "if not TABLES_DIR.exists():\n",
+    "TABLES_DIR = \"../cmip7-cmor-tables/tables\"\n",
+    "CV_PATH = \"../cmip7-cmor-tables/tables-cvs/cmor-cvs.json\"\n",
+    "if not Path(TABLES_DIR).exists():\n",
     "    raise FileNotFoundError(f\"CMIP7 tables directory not found: {TABLES_DIR}\")\n",
+    "if not Path(CV_PATH).exists():\n",
+    "    raise FileNotFoundError(f\"CMIP7 CV file not found: {CV_PATH}\")\n",
     "\n",
-    "CV_FILE_FROM_TABLES_DIR = \"../tables-cvs/cmor-cvs.json\"\n",
-    "\n",
-    "print(f\"Using CMIP7 tables from {TABLES_REPO}\")\n"
+    "print(f\"Using CMIP7 tables from {TABLES_DIR}\")\n"
    ]
   },
   {
@@ -66,10 +58,10 @@
    "id": "98a3af92",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:49:22.777000Z",
-     "iopub.status.busy": "2026-05-29T21:49:22.776883Z",
-     "iopub.status.idle": "2026-05-29T21:49:22.784302Z",
-     "shell.execute_reply": "2026-05-29T21:49:22.783971Z"
+     "iopub.execute_input": "2026-05-29T22:05:16.320231Z",
+     "iopub.status.busy": "2026-05-29T22:05:16.320102Z",
+     "iopub.status.idle": "2026-05-29T22:05:16.327572Z",
+     "shell.execute_reply": "2026-05-29T22:05:16.327149Z"
     }
    },
    "outputs": [
@@ -85,7 +77,7 @@
     }
    ],
    "source": [
-    "run_dir = REPO_ROOT / \"notebooks\" / \"output\" / \"01_basic_ocean_surface_temperature\"\n",
+    "run_dir = Path(\"output\") / \"01_basic_ocean_surface_temperature\"\n",
     "if run_dir.exists():\n",
     "    shutil.rmtree(run_dir)\n",
     "output_dir = run_dir / \"cmor_output\"\n",
@@ -95,7 +87,7 @@
     "    \"_AXIS_ENTRY_FILE\": \"CMIP7_coordinate.json\",\n",
     "    \"_FORMULA_VAR_FILE\": \"CMIP7_formula_terms.json\",\n",
     "    \"_cmip7_option\": 1,\n",
-    "    \"_controlled_vocabulary_file\": CV_FILE_FROM_TABLES_DIR,\n",
+    "    \"_controlled_vocabulary_file\": CV_PATH,\n",
     "    \"activity_id\": \"CMIP\",\n",
     "    \"calendar\": \"360_day\",\n",
     "    \"drs_specs\": \"MIP-DRS7\",\n",
@@ -141,17 +133,17 @@
    "id": "33c84a99",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:49:22.785448Z",
-     "iopub.status.busy": "2026-05-29T21:49:22.785376Z",
-     "iopub.status.idle": "2026-05-29T21:49:22.852686Z",
-     "shell.execute_reply": "2026-05-29T21:49:22.852385Z"
+     "iopub.execute_input": "2026-05-29T22:05:16.328849Z",
+     "iopub.status.busy": "2026-05-29T22:05:16.328773Z",
+     "iopub.status.idle": "2026-05-29T22:05:16.394433Z",
+     "shell.execute_reply": "2026-05-29T22:05:16.394034Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "PosixPath('/Users/mauzey1/Desktop/github/cmor/notebooks/output/01_basic_ocean_surface_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tos/tavg-u-hxy-sea/g999/v20260529/tos_tavg-u-hxy-sea_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201801-201803.nc')"
+       "PosixPath('output/01_basic_ocean_surface_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tos/tavg-u-hxy-sea/g999/v20260529/tos_tavg-u-hxy-sea_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201801-201803.nc')"
       ]
      },
      "execution_count": 3,
@@ -161,7 +153,7 @@
    ],
    "source": [
     "cmor.setup(\n",
-    "    inpath=str(TABLES_DIR),\n",
+    "    inpath=TABLES_DIR,\n",
     "    netcdf_file_action=cmor.CMOR_REPLACE,\n",
     "    logfile=str(run_dir / \"cmor.log\"),\n",
     ")\n",
@@ -176,12 +168,12 @@
     "tos_id = cmor.variable(variable_name, \"degC\", [time_id, lat_id, lon_id])\n",
     "compound_name = \".\".join([\"ocean\"] + variable_name.split(\"_\") + [\"mon\", \"glb\"])\n",
     "\n",
-    "with open(TABLES_DIR / \"CMIP7_cell_measures.json\") as handle:\n",
+    "with open(Path(TABLES_DIR) / \"CMIP7_cell_measures.json\") as handle:\n",
     "    cell_measure = json.load(handle)[\"cell_measures\"].get(compound_name)\n",
     "if cell_measure:\n",
     "    cmor.set_variable_attribute(tos_id, \"cell_measures\", \"c\", cell_measure)\n",
     "\n",
-    "with open(TABLES_DIR / \"CMIP7_long_name_overrides.json\") as handle:\n",
+    "with open(Path(TABLES_DIR) / \"CMIP7_long_name_overrides.json\") as handle:\n",
     "    long_name = json.load(handle)[\"long_name_overrides\"].get(compound_name)\n",
     "if long_name:\n",
     "    cmor.set_variable_attribute(tos_id, \"long_name\", \"c\", long_name)\n",
@@ -190,7 +182,7 @@
     "netcdf_path = Path(cmor.close(tos_id, file_name=True))\n",
     "cmor.close()\n",
     "\n",
-    "netcdf_path\n"
+    "netcdf_path.resolve().relative_to(Path.cwd().resolve())\n"
    ]
   },
   {
@@ -199,10 +191,10 @@
    "id": "52566071",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:49:22.853997Z",
-     "iopub.status.busy": "2026-05-29T21:49:22.853927Z",
-     "iopub.status.idle": "2026-05-29T21:49:23.029372Z",
-     "shell.execute_reply": "2026-05-29T21:49:23.028912Z"
+     "iopub.execute_input": "2026-05-29T22:05:16.395617Z",
+     "iopub.status.busy": "2026-05-29T22:05:16.395543Z",
+     "iopub.status.idle": "2026-05-29T22:05:16.512643Z",
+     "shell.execute_reply": "2026-05-29T22:05:16.512211Z"
     }
    },
    "outputs": [
@@ -769,19 +761,19 @@
        "    area_label:            sea\n",
        "    branded_variable:      tos_tavg-u-hxy-sea\n",
        "    branding_suffix:       tavg-u-hxy-sea\n",
-       "    creation_date:         2026-05-29T21:49:22Z\n",
+       "    creation_date:         2026-05-29T22:05:16Z\n",
        "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/607a5237-e5a0-46ff-af78-be5f4c0bf300\n",
+       "    tracking_id:           hdl:21.14107/e07dc433-5443-4331-bfbb-c4889d7b09de\n",
        "    variable_id:           tos\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-83b44e5e-8422-4257-b5bc-298ad0d8555e' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-83b44e5e-8422-4257-b5bc-298ad0d8555e' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 3</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div></li><li class='xr-section-item'><input id='section-08100bc3-42b7-424a-83c5-af5b531b4ce2' class='xr-section-summary-in' type='checkbox' checked /><label for='section-08100bc3-42b7-424a-83c5-af5b531b4ce2' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0 75.0</div><input id='attrs-cb3e3540-84c1-4c4d-a388-2f950edd72c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb3e3540-84c1-4c4d-a388-2f950edd72c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16202027-685c-4f80-be1c-deafe2959d13' class='xr-var-data-in' type='checkbox'><label for='data-16202027-685c-4f80-be1c-deafe2959d13' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45., 75.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-8a7e52db-7654-4b62-bcc5-cabbc8741a99' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a7e52db-7654-4b62-bcc5-cabbc8741a99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e018ba6-09b8-4173-8a75-1261ee4bb906' class='xr-var-data-in' type='checkbox'><label for='data-6e018ba6-09b8-4173-8a75-1261ee4bb906' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
-       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-1c6f0785-2cf0-4427-ad86-0dffeac47787' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c6f0785-2cf0-4427-ad86-0dffeac47787' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0883769e-d8ca-4d2a-b63a-181563d3bc37' class='xr-var-data-in' type='checkbox'><label for='data-0883769e-d8ca-4d2a-b63a-181563d3bc37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d7098c69-1349-4b97-b8b4-c6f48afd2c28' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-d7098c69-1349-4b97-b8b4-c6f48afd2c28' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 3</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div></li><li class='xr-section-item'><input id='section-fb329363-3631-4081-ac47-38bdeb8776ae' class='xr-section-summary-in' type='checkbox' checked /><label for='section-fb329363-3631-4081-ac47-38bdeb8776ae' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0 75.0</div><input id='attrs-bc62a4d2-3a06-40b3-b0ea-c3158ec58223' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc62a4d2-3a06-40b3-b0ea-c3158ec58223' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32abfca9-f501-45bb-94d6-8283d672ee1a' class='xr-var-data-in' type='checkbox'><label for='data-32abfca9-f501-45bb-94d6-8283d672ee1a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45., 75.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-093e8267-7f66-4dee-9f7c-0a87e8ea28f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-093e8267-7f66-4dee-9f7c-0a87e8ea28f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79aaa949-c3c4-4e3b-a82f-1ad8f14750b7' class='xr-var-data-in' type='checkbox'><label for='data-79aaa949-c3c4-4e3b-a82f-1ad8f14750b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
+       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-72294639-8c1c-4d79-8dfb-57ef40612916' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72294639-8c1c-4d79-8dfb-57ef40612916' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8b653f2-28ce-4051-90b1-8773c4f4b254' class='xr-var-data-in' type='checkbox'><label for='data-b8b653f2-28ce-4051-90b1-8773c4f4b254' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
        "       125., 135., 145., 155., 165., 175., 185., 195., 205., 215., 225., 235.,\n",
-       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cab3bf01-fbda-4360-a711-8dccabbf52d4' class='xr-section-summary-in' type='checkbox' checked /><label for='section-cab3bf01-fbda-4360-a711-8dccabbf52d4' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0 60.0 90.0</div><input id='attrs-6d0afd47-54f2-4b19-a43a-455eac2ba22e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6d0afd47-54f2-4b19-a43a-455eac2ba22e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8debf38-4ec0-4458-bcf0-613cd59a59c9' class='xr-var-data-in' type='checkbox'><label for='data-a8debf38-4ec0-4458-bcf0-613cd59a59c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
+       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ebed79d5-0af0-43ef-a904-7ef6ae7d9c4d' class='xr-section-summary-in' type='checkbox' checked /><label for='section-ebed79d5-0af0-43ef-a904-7ef6ae7d9c4d' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0 60.0 90.0</div><input id='attrs-948c6576-088c-4bc3-93ea-a6805c9f3f9a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-948c6576-088c-4bc3-93ea-a6805c9f3f9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00235404-4015-484e-8bba-fd526c1e6908' class='xr-var-data-in' type='checkbox'><label for='data-00235404-4015-484e-8bba-fd526c1e6908' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
        "       [30., 60.],\n",
-       "       [60., 90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-5f587063-bf6e-4b04-b698-98efcf280ec1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5f587063-bf6e-4b04-b698-98efcf280ec1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38ddb565-136b-41b2-b9c0-c5c69528998b' class='xr-var-data-in' type='checkbox'><label for='data-38ddb565-136b-41b2-b9c0-c5c69528998b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
+       "       [60., 90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-a484470d-59a6-4647-b48c-17d111a83522' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a484470d-59a6-4647-b48c-17d111a83522' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2fe8ee3b-91b6-4580-a444-59220e25d076' class='xr-var-data-in' type='checkbox'><label for='data-2fe8ee3b-91b6-4580-a444-59220e25d076' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
        "       [-80., -70.],\n",
        "       [-70., -60.],\n",
        "       [-60., -50.],\n",
@@ -798,7 +790,7 @@
        "       [ 50.,  60.],\n",
        "       [ 60.,  70.],\n",
        "       [ 70.,  80.],\n",
-       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-aa8df362-ef63-46d1-b5dd-19e5c999a94c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-aa8df362-ef63-46d1-b5dd-19e5c999a94c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9e2b578-0682-4382-9b0c-1b0a15bc07b2' class='xr-var-data-in' type='checkbox'><label for='data-f9e2b578-0682-4382-9b0c-1b0a15bc07b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
+       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-6e7c97e1-3b88-4486-a28b-ca1cc35875fb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6e7c97e1-3b88-4486-a28b-ca1cc35875fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dff17b22-f319-4a3c-9052-15296d2f2227' class='xr-var-data-in' type='checkbox'><label for='data-dff17b22-f319-4a3c-9052-15296d2f2227' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
        "       [ 10.,  20.],\n",
        "       [ 20.,  30.],\n",
        "       [ 30.,  40.],\n",
@@ -833,7 +825,7 @@
        "       [320., 330.],\n",
        "       [330., 340.],\n",
        "       [340., 350.],\n",
-       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-8.316 -8.361 ... -8.761 -8.716</div><input id='attrs-0450630d-164f-470b-9e1b-492f33cda1ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0450630d-164f-470b-9e1b-492f33cda1ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3df67213-6900-4b3a-b3d3-d11c537a0ea2' class='xr-var-data-in' type='checkbox'><label for='data-3df67213-6900-4b3a-b3d3-d11c537a0ea2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd></dl></div><div class='xr-var-data'><pre>array([[[-8.3158045, -8.361208 , -8.450635 , ..., -8.450635 ,\n",
+       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-8.316 -8.361 ... -8.761 -8.716</div><input id='attrs-0142fee1-0912-4a8a-84d1-383b448cd93e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0142fee1-0912-4a8a-84d1-383b448cd93e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17db56ed-83d8-44f0-876c-5c8fdf206d54' class='xr-var-data-in' type='checkbox'><label for='data-17db56ed-83d8-44f0-876c-5c8fdf206d54' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd></dl></div><div class='xr-var-data'><pre>array([[[-8.3158045, -8.361208 , -8.450635 , ..., -8.450635 ,\n",
        "         -8.361208 , -8.3158045],\n",
        "        [-6.8310256, -6.8764286, -6.965856 , ..., -6.965856 ,\n",
        "         -6.8764286, -6.8310256],\n",
@@ -873,7 +865,7 @@
        "        [-7.2310257, -7.2764287, -7.3658557, ..., -7.3658557,\n",
        "         -7.2764287, -7.2310257],\n",
        "        [-8.715805 , -8.761209 , -8.850636 , ..., -8.850636 ,\n",
-       "         -8.761209 , -8.715805 ]]], shape=(3, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a07e4960-023f-475c-889e-51a64ac2cff3' class='xr-section-summary-in' type='checkbox' /><label for='section-a07e4960-023f-475c-889e-51a64ac2cff3' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>tos_tavg-u-hxy-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-sea</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T21:49:22Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacello</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T21:49:22Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/607a5237-e5a0-46ff-af78-be5f4c0bf300</dd><dt><span>variable_id :</span></dt><dd>tos</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+       "         -8.761209 , -8.715805 ]]], shape=(3, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7724cfd3-eb0e-4298-9c29-219a4a395081' class='xr-section-summary-in' type='checkbox' /><label for='section-7724cfd3-eb0e-4298-9c29-219a4a395081' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>tos_tavg-u-hxy-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-sea</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T22:05:16Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacello</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T22:05:16Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/e07dc433-5443-4331-bfbb-c4889d7b09de</dd><dt><span>variable_id :</span></dt><dd>tos</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 9kB\n",
@@ -894,9 +886,9 @@
        "    area_label:            sea\n",
        "    branded_variable:      tos_tavg-u-hxy-sea\n",
        "    branding_suffix:       tavg-u-hxy-sea\n",
-       "    creation_date:         2026-05-29T21:49:22Z\n",
+       "    creation_date:         2026-05-29T22:05:16Z\n",
        "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/607a5237-e5a0-46ff-af78-be5f4c0bf300\n",
+       "    tracking_id:           hdl:21.14107/e07dc433-5443-4331-bfbb-c4889d7b09de\n",
        "    variable_id:           tos\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
@@ -921,10 +913,10 @@
    "id": "1a291a66",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:49:23.030523Z",
-     "iopub.status.busy": "2026-05-29T21:49:23.030452Z",
-     "iopub.status.idle": "2026-05-29T21:49:23.164235Z",
-     "shell.execute_reply": "2026-05-29T21:49:23.163884Z"
+     "iopub.execute_input": "2026-05-29T22:05:16.513939Z",
+     "iopub.status.busy": "2026-05-29T22:05:16.513851Z",
+     "iopub.status.idle": "2026-05-29T22:05:16.648380Z",
+     "shell.execute_reply": "2026-05-29T22:05:16.647886Z"
     }
    },
    "outputs": [
diff --git a/notebooks/02_atmos_surface_air_temperature.ipynb b/notebooks/02_atmos_surface_air_temperature.ipynb
index ac47a54b..c2320de0 100644
--- a/notebooks/02_atmos_surface_air_temperature.ipynb
+++ b/notebooks/02_atmos_surface_air_temperature.ipynb
@@ -16,10 +16,10 @@
    "id": "d1d1af98",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:49:24.074856Z",
-     "iopub.status.busy": "2026-05-29T21:49:24.074645Z",
-     "iopub.status.idle": "2026-05-29T21:49:24.568820Z",
-     "shell.execute_reply": "2026-05-29T21:49:24.568282Z"
+     "iopub.execute_input": "2026-05-29T22:05:17.531079Z",
+     "iopub.status.busy": "2026-05-29T22:05:17.530943Z",
+     "iopub.status.idle": "2026-05-29T22:05:18.029262Z",
+     "shell.execute_reply": "2026-05-29T22:05:18.028811Z"
     }
    },
    "outputs": [
@@ -27,7 +27,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Using CMIP7 tables from /Users/mauzey1/Desktop/github/cmor/cmip7-cmor-tables\n"
+      "Using CMIP7 tables from ../cmip7-cmor-tables/tables\n"
      ]
     }
    ],
@@ -42,22 +42,14 @@
     "import numpy as np\n",
     "import xarray as xr\n",
     "\n",
-    "start = Path.cwd().resolve()\n",
-    "for candidate in (start, *start.parents):\n",
-    "    if (candidate / \"notebooks\" / \"NOTEBOOKS.md\").exists() or (candidate / \".git\").exists():\n",
-    "        REPO_ROOT = candidate\n",
-    "        break\n",
-    "else:\n",
-    "    REPO_ROOT = start\n",
-    "\n",
-    "TABLES_REPO = REPO_ROOT / \"cmip7-cmor-tables\"\n",
-    "TABLES_DIR = TABLES_REPO / \"tables\"\n",
-    "if not TABLES_DIR.exists():\n",
+    "TABLES_DIR = \"../cmip7-cmor-tables/tables\"\n",
+    "CV_PATH = \"../cmip7-cmor-tables/tables-cvs/cmor-cvs.json\"\n",
+    "if not Path(TABLES_DIR).exists():\n",
     "    raise FileNotFoundError(f\"CMIP7 tables directory not found: {TABLES_DIR}\")\n",
+    "if not Path(CV_PATH).exists():\n",
+    "    raise FileNotFoundError(f\"CMIP7 CV file not found: {CV_PATH}\")\n",
     "\n",
-    "CV_FILE_FROM_TABLES_DIR = \"../tables-cvs/cmor-cvs.json\"\n",
-    "\n",
-    "print(f\"Using CMIP7 tables from {TABLES_REPO}\")\n"
+    "print(f\"Using CMIP7 tables from {TABLES_DIR}\")\n"
    ]
   },
   {
@@ -66,10 +58,10 @@
    "id": "284b84c2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:49:24.570186Z",
-     "iopub.status.busy": "2026-05-29T21:49:24.570059Z",
-     "iopub.status.idle": "2026-05-29T21:49:24.579350Z",
-     "shell.execute_reply": "2026-05-29T21:49:24.578921Z"
+     "iopub.execute_input": "2026-05-29T22:05:18.030725Z",
+     "iopub.status.busy": "2026-05-29T22:05:18.030586Z",
+     "iopub.status.idle": "2026-05-29T22:05:18.039008Z",
+     "shell.execute_reply": "2026-05-29T22:05:18.038691Z"
     }
    },
    "outputs": [
@@ -85,7 +77,7 @@
     }
    ],
    "source": [
-    "run_dir = REPO_ROOT / \"notebooks\" / \"output\" / \"02_atmos_surface_air_temperature\"\n",
+    "run_dir = Path(\"output\") / \"02_atmos_surface_air_temperature\"\n",
     "if run_dir.exists():\n",
     "    shutil.rmtree(run_dir)\n",
     "output_dir = run_dir / \"cmor_output\"\n",
@@ -95,7 +87,7 @@
     "    \"_AXIS_ENTRY_FILE\": \"CMIP7_coordinate.json\",\n",
     "    \"_FORMULA_VAR_FILE\": \"CMIP7_formula_terms.json\",\n",
     "    \"_cmip7_option\": 1,\n",
-    "    \"_controlled_vocabulary_file\": CV_FILE_FROM_TABLES_DIR,\n",
+    "    \"_controlled_vocabulary_file\": CV_PATH,\n",
     "    \"activity_id\": \"CMIP\",\n",
     "    \"calendar\": \"360_day\",\n",
     "    \"drs_specs\": \"MIP-DRS7\",\n",
@@ -141,17 +133,17 @@
    "id": "d2ded412",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:49:24.580789Z",
-     "iopub.status.busy": "2026-05-29T21:49:24.580698Z",
-     "iopub.status.idle": "2026-05-29T21:49:24.654955Z",
-     "shell.execute_reply": "2026-05-29T21:49:24.654654Z"
+     "iopub.execute_input": "2026-05-29T22:05:18.040689Z",
+     "iopub.status.busy": "2026-05-29T22:05:18.040572Z",
+     "iopub.status.idle": "2026-05-29T22:05:18.114620Z",
+     "shell.execute_reply": "2026-05-29T22:05:18.114184Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "PosixPath('/Users/mauzey1/Desktop/github/cmor/notebooks/output/02_atmos_surface_air_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tas/tavg-h2m-hxy-u/g999/v20260529/tas_tavg-h2m-hxy-u_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201801-201803.nc')"
+       "PosixPath('output/02_atmos_surface_air_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tas/tavg-h2m-hxy-u/g999/v20260529/tas_tavg-h2m-hxy-u_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201801-201803.nc')"
       ]
      },
      "execution_count": 3,
@@ -161,7 +153,7 @@
    ],
    "source": [
     "cmor.setup(\n",
-    "    inpath=str(TABLES_DIR),\n",
+    "    inpath=TABLES_DIR,\n",
     "    netcdf_file_action=cmor.CMOR_REPLACE,\n",
     "    logfile=str(run_dir / \"cmor.log\"),\n",
     ")\n",
@@ -177,12 +169,12 @@
     "tas_id = cmor.variable(variable_name, \"K\", [time_id, height_id, lat_id, lon_id])\n",
     "compound_name = \".\".join([\"atmos\"] + variable_name.split(\"_\") + [\"mon\", \"glb\"])\n",
     "\n",
-    "with open(TABLES_DIR / \"CMIP7_cell_measures.json\") as handle:\n",
+    "with open(Path(TABLES_DIR) / \"CMIP7_cell_measures.json\") as handle:\n",
     "    cell_measure = json.load(handle)[\"cell_measures\"].get(compound_name)\n",
     "if cell_measure:\n",
     "    cmor.set_variable_attribute(tas_id, \"cell_measures\", \"c\", cell_measure)\n",
     "\n",
-    "with open(TABLES_DIR / \"CMIP7_long_name_overrides.json\") as handle:\n",
+    "with open(Path(TABLES_DIR) / \"CMIP7_long_name_overrides.json\") as handle:\n",
     "    long_name = json.load(handle)[\"long_name_overrides\"].get(compound_name)\n",
     "if long_name:\n",
     "    cmor.set_variable_attribute(tas_id, \"long_name\", \"c\", long_name)\n",
@@ -191,7 +183,7 @@
     "netcdf_path = Path(cmor.close(tas_id, file_name=True))\n",
     "cmor.close()\n",
     "\n",
-    "netcdf_path\n"
+    "netcdf_path.resolve().relative_to(Path.cwd().resolve())\n"
    ]
   },
   {
@@ -200,10 +192,10 @@
    "id": "5bf2f00d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:49:24.656162Z",
-     "iopub.status.busy": "2026-05-29T21:49:24.656085Z",
-     "iopub.status.idle": "2026-05-29T21:49:24.774407Z",
-     "shell.execute_reply": "2026-05-29T21:49:24.774072Z"
+     "iopub.execute_input": "2026-05-29T22:05:18.115693Z",
+     "iopub.status.busy": "2026-05-29T22:05:18.115609Z",
+     "iopub.status.idle": "2026-05-29T22:05:18.233828Z",
+     "shell.execute_reply": "2026-05-29T22:05:18.233316Z"
     }
    },
    "outputs": [
@@ -771,19 +763,19 @@
        "    area_label:            u\n",
        "    branded_variable:      tas_tavg-h2m-hxy-u\n",
        "    branding_suffix:       tavg-h2m-hxy-u\n",
-       "    creation_date:         2026-05-29T21:49:24Z\n",
+       "    creation_date:         2026-05-29T22:05:18Z\n",
        "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/f0c5758d-29d3-4a8f-a46e-d5eea41c28b4\n",
+       "    tracking_id:           hdl:21.14107/14d7900a-e918-4b68-8dbf-f5f235e56d00\n",
        "    variable_id:           tas\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        h2m\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e49f41b3-eb92-465a-b397-d1c5f1fb3cc3' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-e49f41b3-eb92-465a-b397-d1c5f1fb3cc3' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 3</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div></li><li class='xr-section-item'><input id='section-ff7a30ce-bbf9-4372-a580-c297b3b19b27' class='xr-section-summary-in' type='checkbox' checked /><label for='section-ff7a30ce-bbf9-4372-a580-c297b3b19b27' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0 75.0</div><input id='attrs-b8a3a247-297a-4a14-bd4a-94c648e7cbba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b8a3a247-297a-4a14-bd4a-94c648e7cbba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9557d36-1381-4fe2-b67c-928d84fc68e4' class='xr-var-data-in' type='checkbox'><label for='data-b9557d36-1381-4fe2-b67c-928d84fc68e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45., 75.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-ef8e1837-352f-4bfb-aecb-991e401d589e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef8e1837-352f-4bfb-aecb-991e401d589e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a568e57-0d0b-4a7a-b350-beec2077dcf6' class='xr-var-data-in' type='checkbox'><label for='data-9a568e57-0d0b-4a7a-b350-beec2077dcf6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
-       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-a556c1d0-ec32-4b67-b84f-d384ba42cd14' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a556c1d0-ec32-4b67-b84f-d384ba42cd14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-464dd17e-c8ba-44fa-9eff-55aa71ab03ed' class='xr-var-data-in' type='checkbox'><label for='data-464dd17e-c8ba-44fa-9eff-55aa71ab03ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-813ebcc3-bf95-47ed-a5a9-ef1dad448b25' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-813ebcc3-bf95-47ed-a5a9-ef1dad448b25' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 3</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div></li><li class='xr-section-item'><input id='section-5da04d0d-120f-4d86-acfd-192d817d0585' class='xr-section-summary-in' type='checkbox' checked /><label for='section-5da04d0d-120f-4d86-acfd-192d817d0585' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0 75.0</div><input id='attrs-0575d5cd-77bb-4039-8838-c08308bdf293' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0575d5cd-77bb-4039-8838-c08308bdf293' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f58d3542-96de-4efb-bca7-99b7b4e0f6ff' class='xr-var-data-in' type='checkbox'><label for='data-f58d3542-96de-4efb-bca7-99b7b4e0f6ff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45., 75.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-8f10766c-4c33-405a-b997-fee9c164dfb5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f10766c-4c33-405a-b997-fee9c164dfb5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-93773d90-bc6b-4460-a559-e5d682d178ee' class='xr-var-data-in' type='checkbox'><label for='data-93773d90-bc6b-4460-a559-e5d682d178ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
+       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-e533e988-9295-4956-adee-608913bf384c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e533e988-9295-4956-adee-608913bf384c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f565049-9751-4243-ab26-56ebfc71a5eb' class='xr-var-data-in' type='checkbox'><label for='data-9f565049-9751-4243-ab26-56ebfc71a5eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
        "       125., 135., 145., 155., 165., 175., 185., 195., 205., 215., 225., 235.,\n",
-       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-ae3e16ee-8f2d-4b67-b15c-2de9876a431b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae3e16ee-8f2d-4b67-b15c-2de9876a431b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a7335a5-db6d-4645-bc36-96e00feb4d1e' class='xr-var-data-in' type='checkbox'><label for='data-0a7335a5-db6d-4645-bc36-96e00feb4d1e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-549e1b4a-ea4a-4fba-bc15-8670906effe0' class='xr-section-summary-in' type='checkbox' checked /><label for='section-549e1b4a-ea4a-4fba-bc15-8670906effe0' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0 60.0 90.0</div><input id='attrs-509a097e-9e4f-44e3-8338-ace980b46b4b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-509a097e-9e4f-44e3-8338-ace980b46b4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cf70163-5884-4e0e-ac8f-8e13754d990e' class='xr-var-data-in' type='checkbox'><label for='data-5cf70163-5884-4e0e-ac8f-8e13754d990e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
+       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-b4b00228-eea2-4331-b87e-de60315ca6ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4b00228-eea2-4331-b87e-de60315ca6ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-515d0f35-7571-43d6-8346-cd568c68fac3' class='xr-var-data-in' type='checkbox'><label for='data-515d0f35-7571-43d6-8346-cd568c68fac3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ab8c65e0-b9b5-4f7e-9ebc-a4bec50c142d' class='xr-section-summary-in' type='checkbox' checked /><label for='section-ab8c65e0-b9b5-4f7e-9ebc-a4bec50c142d' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0 60.0 90.0</div><input id='attrs-ada93b3c-597b-41fa-b33f-e13499c5a174' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ada93b3c-597b-41fa-b33f-e13499c5a174' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6febf5a2-d442-4e99-b604-975511cfe776' class='xr-var-data-in' type='checkbox'><label for='data-6febf5a2-d442-4e99-b604-975511cfe776' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
        "       [30., 60.],\n",
-       "       [60., 90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-afaa4713-c9a1-407a-bcde-038507afb298' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-afaa4713-c9a1-407a-bcde-038507afb298' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65ddefe6-07ba-450b-b178-ba8c0b0ee515' class='xr-var-data-in' type='checkbox'><label for='data-65ddefe6-07ba-450b-b178-ba8c0b0ee515' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
+       "       [60., 90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-7d13525c-5af7-4aec-b433-251548c7a3c7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7d13525c-5af7-4aec-b433-251548c7a3c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42690fa7-f904-4804-bea6-8dc9092650fc' class='xr-var-data-in' type='checkbox'><label for='data-42690fa7-f904-4804-bea6-8dc9092650fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
        "       [-80., -70.],\n",
        "       [-70., -60.],\n",
        "       [-60., -50.],\n",
@@ -800,7 +792,7 @@
        "       [ 50.,  60.],\n",
        "       [ 60.,  70.],\n",
        "       [ 70.,  80.],\n",
-       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-b52c5394-f9a4-4417-a8e6-d990d00af345' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b52c5394-f9a4-4417-a8e6-d990d00af345' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4969ec0-9151-455e-b409-e654a58da619' class='xr-var-data-in' type='checkbox'><label for='data-b4969ec0-9151-455e-b409-e654a58da619' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
+       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-4d8d9c7e-9ba2-4c59-9a13-13e9bd8979d0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4d8d9c7e-9ba2-4c59-9a13-13e9bd8979d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f201b2d7-24c1-49ef-9a4d-265bf04ccc8d' class='xr-var-data-in' type='checkbox'><label for='data-f201b2d7-24c1-49ef-9a4d-265bf04ccc8d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
        "       [ 10.,  20.],\n",
        "       [ 20.,  30.],\n",
        "       [ 30.,  40.],\n",
@@ -835,7 +827,7 @@
        "       [320., 330.],\n",
        "       [330., 340.],\n",
        "       [340., 350.],\n",
-       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>240.3 240.3 240.2 ... 248.3 248.3</div><input id='attrs-a67edf4a-6da4-441c-948b-c90fc6c54273' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a67edf4a-6da4-441c-948b-c90fc6c54273' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e5ac321-5fd9-4eb0-9715-e759125ad374' class='xr-var-data-in' type='checkbox'><label for='data-4e5ac321-5fd9-4eb0-9715-e759125ad374' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>history :</span></dt><dd>2026-05-29T21:49:24Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;.</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[240.33421, 240.27368, 240.15443, ..., 240.15443, 240.27368,\n",
+       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>240.3 240.3 240.2 ... 248.3 248.3</div><input id='attrs-93c028ea-7d36-4f8e-9ed0-402a629b3f71' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93c028ea-7d36-4f8e-9ed0-402a629b3f71' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19ed5d48-df9d-47df-8887-59c2b4ffe2fb' class='xr-var-data-in' type='checkbox'><label for='data-19ed5d48-df9d-47df-8887-59c2b4ffe2fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>history :</span></dt><dd>2026-05-29T22:05:18Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;.</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[240.33421, 240.27368, 240.15443, ..., 240.15443, 240.27368,\n",
        "         240.33421],\n",
        "        [243.00682, 242.94627, 242.82704, ..., 242.82704, 242.94627,\n",
        "         243.00682],\n",
@@ -875,7 +867,7 @@
        "        [251.00682, 250.94627, 250.82704, ..., 250.82704, 250.94627,\n",
        "         251.00682],\n",
        "        [248.33421, 248.27368, 248.15443, ..., 248.15443, 248.27368,\n",
-       "         248.33421]]], shape=(3, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5cf9ebac-ca6a-4425-9d1d-0b8e24ecec33' class='xr-section-summary-in' type='checkbox' /><label for='section-5cf9ebac-ca6a-4425-9d1d-0b8e24ecec33' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>tas_tavg-h2m-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-h2m-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T21:49:24Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T21:49:24Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/f0c5758d-29d3-4a8f-a46e-d5eea41c28b4</dd><dt><span>variable_id :</span></dt><dd>tas</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>h2m</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+       "         248.33421]]], shape=(3, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-170e29df-7ae6-441c-a0e5-2b998169efd6' class='xr-section-summary-in' type='checkbox' /><label for='section-170e29df-7ae6-441c-a0e5-2b998169efd6' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>tas_tavg-h2m-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-h2m-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T22:05:18Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T22:05:18Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/14d7900a-e918-4b68-8dbf-f5f235e56d00</dd><dt><span>variable_id :</span></dt><dd>tas</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>h2m</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 9kB\n",
@@ -897,9 +889,9 @@
        "    area_label:            u\n",
        "    branded_variable:      tas_tavg-h2m-hxy-u\n",
        "    branding_suffix:       tavg-h2m-hxy-u\n",
-       "    creation_date:         2026-05-29T21:49:24Z\n",
+       "    creation_date:         2026-05-29T22:05:18Z\n",
        "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/f0c5758d-29d3-4a8f-a46e-d5eea41c28b4\n",
+       "    tracking_id:           hdl:21.14107/14d7900a-e918-4b68-8dbf-f5f235e56d00\n",
        "    variable_id:           tas\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        h2m\n",
@@ -924,10 +916,10 @@
    "id": "1daca239",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:49:24.775801Z",
-     "iopub.status.busy": "2026-05-29T21:49:24.775707Z",
-     "iopub.status.idle": "2026-05-29T21:49:24.910404Z",
-     "shell.execute_reply": "2026-05-29T21:49:24.910000Z"
+     "iopub.execute_input": "2026-05-29T22:05:18.234997Z",
+     "iopub.status.busy": "2026-05-29T22:05:18.234923Z",
+     "iopub.status.idle": "2026-05-29T22:05:18.370049Z",
+     "shell.execute_reply": "2026-05-29T22:05:18.369607Z"
     }
    },
    "outputs": [
diff --git a/notebooks/03_pressure_level_air_temperature.ipynb b/notebooks/03_pressure_level_air_temperature.ipynb
index 9a3d70ee..6213334e 100644
--- a/notebooks/03_pressure_level_air_temperature.ipynb
+++ b/notebooks/03_pressure_level_air_temperature.ipynb
@@ -16,10 +16,10 @@
    "id": "4c424c5c",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:49:25.838672Z",
-     "iopub.status.busy": "2026-05-29T21:49:25.838501Z",
-     "iopub.status.idle": "2026-05-29T21:49:26.350553Z",
-     "shell.execute_reply": "2026-05-29T21:49:26.350075Z"
+     "iopub.execute_input": "2026-05-29T22:05:19.270467Z",
+     "iopub.status.busy": "2026-05-29T22:05:19.270395Z",
+     "iopub.status.idle": "2026-05-29T22:05:19.743470Z",
+     "shell.execute_reply": "2026-05-29T22:05:19.743014Z"
     }
    },
    "outputs": [
@@ -27,7 +27,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Using CMIP7 tables from /Users/mauzey1/Desktop/github/cmor/cmip7-cmor-tables\n"
+      "Using CMIP7 tables from ../cmip7-cmor-tables/tables\n"
      ]
     }
    ],
@@ -42,22 +42,14 @@
     "import numpy as np\n",
     "import xarray as xr\n",
     "\n",
-    "start = Path.cwd().resolve()\n",
-    "for candidate in (start, *start.parents):\n",
-    "    if (candidate / \"notebooks\" / \"NOTEBOOKS.md\").exists() or (candidate / \".git\").exists():\n",
-    "        REPO_ROOT = candidate\n",
-    "        break\n",
-    "else:\n",
-    "    REPO_ROOT = start\n",
-    "\n",
-    "TABLES_REPO = REPO_ROOT / \"cmip7-cmor-tables\"\n",
-    "TABLES_DIR = TABLES_REPO / \"tables\"\n",
-    "if not TABLES_DIR.exists():\n",
+    "TABLES_DIR = \"../cmip7-cmor-tables/tables\"\n",
+    "CV_PATH = \"../cmip7-cmor-tables/tables-cvs/cmor-cvs.json\"\n",
+    "if not Path(TABLES_DIR).exists():\n",
     "    raise FileNotFoundError(f\"CMIP7 tables directory not found: {TABLES_DIR}\")\n",
+    "if not Path(CV_PATH).exists():\n",
+    "    raise FileNotFoundError(f\"CMIP7 CV file not found: {CV_PATH}\")\n",
     "\n",
-    "CV_FILE_FROM_TABLES_DIR = \"../tables-cvs/cmor-cvs.json\"\n",
-    "\n",
-    "print(f\"Using CMIP7 tables from {TABLES_REPO}\")\n"
+    "print(f\"Using CMIP7 tables from {TABLES_DIR}\")\n"
    ]
   },
   {
@@ -66,10 +58,10 @@
    "id": "1324ba6e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:49:26.352126Z",
-     "iopub.status.busy": "2026-05-29T21:49:26.351968Z",
-     "iopub.status.idle": "2026-05-29T21:49:26.361084Z",
-     "shell.execute_reply": "2026-05-29T21:49:26.360714Z"
+     "iopub.execute_input": "2026-05-29T22:05:19.744691Z",
+     "iopub.status.busy": "2026-05-29T22:05:19.744581Z",
+     "iopub.status.idle": "2026-05-29T22:05:19.752374Z",
+     "shell.execute_reply": "2026-05-29T22:05:19.751988Z"
     }
    },
    "outputs": [
@@ -85,7 +77,7 @@
     }
    ],
    "source": [
-    "run_dir = REPO_ROOT / \"notebooks\" / \"output\" / \"03_pressure_level_air_temperature\"\n",
+    "run_dir = Path(\"output\") / \"03_pressure_level_air_temperature\"\n",
     "if run_dir.exists():\n",
     "    shutil.rmtree(run_dir)\n",
     "output_dir = run_dir / \"cmor_output\"\n",
@@ -95,7 +87,7 @@
     "    \"_AXIS_ENTRY_FILE\": \"CMIP7_coordinate.json\",\n",
     "    \"_FORMULA_VAR_FILE\": \"CMIP7_formula_terms.json\",\n",
     "    \"_cmip7_option\": 1,\n",
-    "    \"_controlled_vocabulary_file\": CV_FILE_FROM_TABLES_DIR,\n",
+    "    \"_controlled_vocabulary_file\": CV_PATH,\n",
     "    \"activity_id\": \"CMIP\",\n",
     "    \"calendar\": \"360_day\",\n",
     "    \"drs_specs\": \"MIP-DRS7\",\n",
@@ -166,17 +158,17 @@
    "id": "c59fb308",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:49:26.362353Z",
-     "iopub.status.busy": "2026-05-29T21:49:26.362268Z",
-     "iopub.status.idle": "2026-05-29T21:49:26.435873Z",
-     "shell.execute_reply": "2026-05-29T21:49:26.435483Z"
+     "iopub.execute_input": "2026-05-29T22:05:19.753684Z",
+     "iopub.status.busy": "2026-05-29T22:05:19.753602Z",
+     "iopub.status.idle": "2026-05-29T22:05:19.826380Z",
+     "shell.execute_reply": "2026-05-29T22:05:19.825933Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "PosixPath('/Users/mauzey1/Desktop/github/cmor/notebooks/output/03_pressure_level_air_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/ta/tavg-p19-hxy-air/g999/v20260529/ta_tavg-p19-hxy-air_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201801-201802.nc')"
+       "PosixPath('output/03_pressure_level_air_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/ta/tavg-p19-hxy-air/g999/v20260529/ta_tavg-p19-hxy-air_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201801-201802.nc')"
       ]
      },
      "execution_count": 3,
@@ -186,7 +178,7 @@
    ],
    "source": [
     "cmor.setup(\n",
-    "    inpath=str(TABLES_DIR),\n",
+    "    inpath=TABLES_DIR,\n",
     "    netcdf_file_action=cmor.CMOR_REPLACE,\n",
     "    logfile=str(run_dir / \"cmor.log\"),\n",
     ")\n",
@@ -202,12 +194,12 @@
     "ta_id = cmor.variable(variable_name, \"K\", [time_id, plev_id, lat_id, lon_id])\n",
     "compound_name = \".\".join([\"atmos\"] + variable_name.split(\"_\") + [\"mon\", \"glb\"])\n",
     "\n",
-    "with open(TABLES_DIR / \"CMIP7_cell_measures.json\") as handle:\n",
+    "with open(Path(TABLES_DIR) / \"CMIP7_cell_measures.json\") as handle:\n",
     "    cell_measure = json.load(handle)[\"cell_measures\"].get(compound_name)\n",
     "if cell_measure:\n",
     "    cmor.set_variable_attribute(ta_id, \"cell_measures\", \"c\", cell_measure)\n",
     "\n",
-    "with open(TABLES_DIR / \"CMIP7_long_name_overrides.json\") as handle:\n",
+    "with open(Path(TABLES_DIR) / \"CMIP7_long_name_overrides.json\") as handle:\n",
     "    long_name = json.load(handle)[\"long_name_overrides\"].get(compound_name)\n",
     "if long_name:\n",
     "    cmor.set_variable_attribute(ta_id, \"long_name\", \"c\", long_name)\n",
@@ -216,7 +208,7 @@
     "netcdf_path = Path(cmor.close(ta_id, file_name=True))\n",
     "cmor.close()\n",
     "\n",
-    "netcdf_path\n"
+    "netcdf_path.resolve().relative_to(Path.cwd().resolve())\n"
    ]
   },
   {
@@ -225,10 +217,10 @@
    "id": "09d6a9fe",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:49:26.437033Z",
-     "iopub.status.busy": "2026-05-29T21:49:26.436956Z",
-     "iopub.status.idle": "2026-05-29T21:49:26.554065Z",
-     "shell.execute_reply": "2026-05-29T21:49:26.553614Z"
+     "iopub.execute_input": "2026-05-29T22:05:19.827532Z",
+     "iopub.status.busy": "2026-05-29T22:05:19.827434Z",
+     "iopub.status.idle": "2026-05-29T22:05:19.945157Z",
+     "shell.execute_reply": "2026-05-29T22:05:19.944805Z"
     }
    },
    "outputs": [
@@ -796,20 +788,20 @@
        "    area_label:            air\n",
        "    branded_variable:      ta_tavg-p19-hxy-air\n",
        "    branding_suffix:       tavg-p19-hxy-air\n",
-       "    creation_date:         2026-05-29T21:49:26Z\n",
+       "    creation_date:         2026-05-29T22:05:19Z\n",
        "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/84ed00cf-4777-4805-84ea-3f5e8529aaba\n",
+       "    tracking_id:           hdl:21.14107/873e19ad-42a8-494b-9c21-9e5c498d96cb\n",
        "    variable_id:           ta\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        p19\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-624a5a7b-5510-4565-be19-4abec7174d9f' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-624a5a7b-5510-4565-be19-4abec7174d9f' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li><li><span class='xr-has-index'>plev</span>: 19</li></ul></div></li><li class='xr-section-item'><input id='section-174256a8-c1db-4cf5-aa51-63c0cb6e95c4' class='xr-section-summary-in' type='checkbox' checked /><label for='section-174256a8-c1db-4cf5-aa51-63c0cb6e95c4' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0</div><input id='attrs-76c011c6-8d79-4111-bcb9-0008907ef354' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76c011c6-8d79-4111-bcb9-0008907ef354' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3a9489c-f628-4aaa-ab49-e6169cdc773e' class='xr-var-data-in' type='checkbox'><label for='data-b3a9489c-f628-4aaa-ab49-e6169cdc773e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-075a259e-843b-45b1-9f7c-4c3fcd6ae329' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-075a259e-843b-45b1-9f7c-4c3fcd6ae329' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44f2afbb-c5e0-49d7-826f-1bf1eb1b9ddc' class='xr-var-data-in' type='checkbox'><label for='data-44f2afbb-c5e0-49d7-826f-1bf1eb1b9ddc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
-       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-d946322f-c43c-4d48-806d-08e16ace5702' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d946322f-c43c-4d48-806d-08e16ace5702' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a11b345-27c9-4824-9fd3-eea9edf2c71d' class='xr-var-data-in' type='checkbox'><label for='data-7a11b345-27c9-4824-9fd3-eea9edf2c71d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f60afb03-61c7-4e6b-a0e2-e158c2054a10' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-f60afb03-61c7-4e6b-a0e2-e158c2054a10' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li><li><span class='xr-has-index'>plev</span>: 19</li></ul></div></li><li class='xr-section-item'><input id='section-0e9c2c24-6c7c-4ad7-9979-e00404fe9716' class='xr-section-summary-in' type='checkbox' checked /><label for='section-0e9c2c24-6c7c-4ad7-9979-e00404fe9716' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0</div><input id='attrs-1d8e82a1-4c31-4093-bb6d-13fe4c8feb40' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d8e82a1-4c31-4093-bb6d-13fe4c8feb40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7a16289-2016-423e-a5d5-d78a605fe50d' class='xr-var-data-in' type='checkbox'><label for='data-b7a16289-2016-423e-a5d5-d78a605fe50d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-a314046e-1f97-41c1-8275-5559b5c1b136' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a314046e-1f97-41c1-8275-5559b5c1b136' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45b7a240-1997-41fd-9372-bfb0de07f5a9' class='xr-var-data-in' type='checkbox'><label for='data-45b7a240-1997-41fd-9372-bfb0de07f5a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
+       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-e58b130b-ec80-4b9d-a99e-043ca165ddab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e58b130b-ec80-4b9d-a99e-043ca165ddab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fafb0b1d-462e-4fa4-b450-881b7a73689b' class='xr-var-data-in' type='checkbox'><label for='data-fafb0b1d-462e-4fa4-b450-881b7a73689b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
        "       125., 135., 145., 155., 165., 175., 185., 195., 205., 215., 225., 235.,\n",
-       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>plev</span></div><div class='xr-var-dims'>(plev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05 9.25e+04 ... 500.0 100.0</div><input id='attrs-8b20937f-a3a0-453c-a42e-574051171aa0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b20937f-a3a0-453c-a42e-574051171aa0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96b12996-53cf-4e46-85b5-18034224a5ac' class='xr-var-data-in' type='checkbox'><label for='data-96b12996-53cf-4e46-85b5-18034224a5ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>Pressure Levels (19)</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd></dl></div><div class='xr-var-data'><pre>array([100000.,  92500.,  85000.,  70000.,  60000.,  50000.,  40000.,  30000.,\n",
+       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>plev</span></div><div class='xr-var-dims'>(plev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05 9.25e+04 ... 500.0 100.0</div><input id='attrs-9b656c18-8196-496f-9ab6-93edfde995a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b656c18-8196-496f-9ab6-93edfde995a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7bcfd7f-87da-4315-a4a3-e1bce0939cd4' class='xr-var-data-in' type='checkbox'><label for='data-c7bcfd7f-87da-4315-a4a3-e1bce0939cd4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>Pressure Levels (19)</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd></dl></div><div class='xr-var-data'><pre>array([100000.,  92500.,  85000.,  70000.,  60000.,  50000.,  40000.,  30000.,\n",
        "        25000.,  20000.,  15000.,  10000.,   7000.,   5000.,   3000.,   2000.,\n",
-       "         1000.,    500.,    100.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d2b5df25-8be3-48f8-b4ea-d38e9bf3de5e' class='xr-section-summary-in' type='checkbox' checked /><label for='section-d2b5df25-8be3-48f8-b4ea-d38e9bf3de5e' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0</div><input id='attrs-42f20496-6b55-49ed-920f-e2b48a061a59' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-42f20496-6b55-49ed-920f-e2b48a061a59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1784c544-6c1c-4cb3-a0c1-b22149ab6825' class='xr-var-data-in' type='checkbox'><label for='data-1784c544-6c1c-4cb3-a0c1-b22149ab6825' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
-       "       [30., 60.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-2a94594c-a188-472e-9c9a-48545574015b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2a94594c-a188-472e-9c9a-48545574015b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-376f2006-e3b4-4c76-a409-123d8ab7c476' class='xr-var-data-in' type='checkbox'><label for='data-376f2006-e3b4-4c76-a409-123d8ab7c476' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
+       "         1000.,    500.,    100.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4f8c465f-3d27-486e-984c-7be4151b10b5' class='xr-section-summary-in' type='checkbox' checked /><label for='section-4f8c465f-3d27-486e-984c-7be4151b10b5' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0</div><input id='attrs-3444ae93-e513-41e7-bb0e-f13292c39aae' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3444ae93-e513-41e7-bb0e-f13292c39aae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-785a630f-ae3e-45ae-af06-a455ae23bb16' class='xr-var-data-in' type='checkbox'><label for='data-785a630f-ae3e-45ae-af06-a455ae23bb16' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
+       "       [30., 60.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-6b548d72-c0f4-4165-a06f-23502de7c359' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6b548d72-c0f4-4165-a06f-23502de7c359' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d847a4e9-29a8-4883-bb61-e5c708ea1b5c' class='xr-var-data-in' type='checkbox'><label for='data-d847a4e9-29a8-4883-bb61-e5c708ea1b5c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
        "       [-80., -70.],\n",
        "       [-70., -60.],\n",
        "       [-60., -50.],\n",
@@ -826,7 +818,7 @@
        "       [ 50.,  60.],\n",
        "       [ 60.,  70.],\n",
        "       [ 70.,  80.],\n",
-       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-a595d7c7-2715-4487-a29e-049d67d70ffd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a595d7c7-2715-4487-a29e-049d67d70ffd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-245000c0-18c3-4c97-ae3c-8b2b00aa5170' class='xr-var-data-in' type='checkbox'><label for='data-245000c0-18c3-4c97-ae3c-8b2b00aa5170' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
+       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-58539b62-be37-4eeb-8cd0-fa79def637ec' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-58539b62-be37-4eeb-8cd0-fa79def637ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0abe2ce4-24a4-4f5b-8d16-e87fcb96114c' class='xr-var-data-in' type='checkbox'><label for='data-0abe2ce4-24a4-4f5b-8d16-e87fcb96114c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
        "       [ 10.,  20.],\n",
        "       [ 20.,  30.],\n",
        "       [ 30.,  40.],\n",
@@ -861,7 +853,7 @@
        "       [320., 330.],\n",
        "       [330., 340.],\n",
        "       [340., 350.],\n",
-       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, plev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>251.3 251.2 251.2 ... 31.38 31.41</div><input id='attrs-db2d6e07-e961-4836-9269-d9e6b8bd24e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db2d6e07-e961-4836-9269-d9e6b8bd24e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67183bea-0843-4c4a-a34c-7a44c6a99c32' class='xr-var-data-in' type='checkbox'><label for='data-67183bea-0843-4c4a-a34c-7a44c6a99c32' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean where air</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[251.26205 , 251.2318  , 251.17216 , ..., 251.17216 ,\n",
+       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, plev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>251.3 251.2 251.2 ... 31.38 31.41</div><input id='attrs-19ae2fe0-a8f7-47c2-af17-74cf7ab6e011' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-19ae2fe0-a8f7-47c2-af17-74cf7ab6e011' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d756a963-04e1-404b-a1ad-d4a6ded51451' class='xr-var-data-in' type='checkbox'><label for='data-d756a963-04e1-404b-a1ad-d4a6ded51451' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean where air</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[251.26205 , 251.2318  , 251.17216 , ..., 251.17216 ,\n",
        "          251.2318  , 251.26205 ],\n",
        "         [253.34074 , 253.31049 , 253.25087 , ..., 253.25087 ,\n",
        "          253.31049 , 253.34074 ],\n",
@@ -901,7 +893,7 @@
        "         [ 33.49258 ,  33.46231 ,  33.402695, ...,  33.402695,\n",
        "           33.46231 ,  33.49258 ],\n",
        "         [ 31.41389 ,  31.383621,  31.324003, ...,  31.324003,\n",
-       "           31.383621,  31.41389 ]]]], shape=(2, 19, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1e772143-7b82-4e22-acfb-42a350305191' class='xr-section-summary-in' type='checkbox' /><label for='section-1e772143-7b82-4e22-acfb-42a350305191' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>air</dd><dt><span>branded_variable :</span></dt><dd>ta_tavg-p19-hxy-air</dd><dt><span>branding_suffix :</span></dt><dd>tavg-p19-hxy-air</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T21:49:26Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T21:49:26Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/84ed00cf-4777-4805-84ea-3f5e8529aaba</dd><dt><span>variable_id :</span></dt><dd>ta</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>p19</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+       "           31.383621,  31.41389 ]]]], shape=(2, 19, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dd80a5fd-a195-4323-ad29-7d8fa657e619' class='xr-section-summary-in' type='checkbox' /><label for='section-dd80a5fd-a195-4323-ad29-7d8fa657e619' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>air</dd><dt><span>branded_variable :</span></dt><dd>ta_tavg-p19-hxy-air</dd><dt><span>branding_suffix :</span></dt><dd>tavg-p19-hxy-air</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T22:05:19Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T22:05:19Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/873e19ad-42a8-494b-9c21-9e5c498d96cb</dd><dt><span>variable_id :</span></dt><dd>ta</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>p19</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 100kB\n",
@@ -923,9 +915,9 @@
        "    area_label:            air\n",
        "    branded_variable:      ta_tavg-p19-hxy-air\n",
        "    branding_suffix:       tavg-p19-hxy-air\n",
-       "    creation_date:         2026-05-29T21:49:26Z\n",
+       "    creation_date:         2026-05-29T22:05:19Z\n",
        "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/84ed00cf-4777-4805-84ea-3f5e8529aaba\n",
+       "    tracking_id:           hdl:21.14107/873e19ad-42a8-494b-9c21-9e5c498d96cb\n",
        "    variable_id:           ta\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        p19\n",
@@ -950,10 +942,10 @@
    "id": "917090d2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:49:26.555347Z",
-     "iopub.status.busy": "2026-05-29T21:49:26.555261Z",
-     "iopub.status.idle": "2026-05-29T21:49:26.689003Z",
-     "shell.execute_reply": "2026-05-29T21:49:26.688565Z"
+     "iopub.execute_input": "2026-05-29T22:05:19.946366Z",
+     "iopub.status.busy": "2026-05-29T22:05:19.946294Z",
+     "iopub.status.idle": "2026-05-29T22:05:20.076964Z",
+     "shell.execute_reply": "2026-05-29T22:05:20.076589Z"
     }
    },
    "outputs": [
diff --git a/notebooks/04_hybrid_sigma_zfactors.ipynb b/notebooks/04_hybrid_sigma_zfactors.ipynb
index 973b113e..fb2d5df8 100644
--- a/notebooks/04_hybrid_sigma_zfactors.ipynb
+++ b/notebooks/04_hybrid_sigma_zfactors.ipynb
@@ -16,10 +16,10 @@
    "id": "e502e550",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:49:27.623040Z",
-     "iopub.status.busy": "2026-05-29T21:49:27.622882Z",
-     "iopub.status.idle": "2026-05-29T21:49:28.134697Z",
-     "shell.execute_reply": "2026-05-29T21:49:28.134280Z"
+     "iopub.execute_input": "2026-05-29T22:05:20.975763Z",
+     "iopub.status.busy": "2026-05-29T22:05:20.975588Z",
+     "iopub.status.idle": "2026-05-29T22:05:21.495556Z",
+     "shell.execute_reply": "2026-05-29T22:05:21.495118Z"
     }
    },
    "outputs": [
@@ -27,7 +27,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Using CMIP7 tables from /Users/mauzey1/Desktop/github/cmor/cmip7-cmor-tables\n"
+      "Using CMIP7 tables from ../cmip7-cmor-tables/tables\n"
      ]
     }
    ],
@@ -42,22 +42,14 @@
     "import numpy as np\n",
     "import xarray as xr\n",
     "\n",
-    "start = Path.cwd().resolve()\n",
-    "for candidate in (start, *start.parents):\n",
-    "    if (candidate / \"notebooks\" / \"NOTEBOOKS.md\").exists() or (candidate / \".git\").exists():\n",
-    "        REPO_ROOT = candidate\n",
-    "        break\n",
-    "else:\n",
-    "    REPO_ROOT = start\n",
-    "\n",
-    "TABLES_REPO = REPO_ROOT / \"cmip7-cmor-tables\"\n",
-    "TABLES_DIR = TABLES_REPO / \"tables\"\n",
-    "if not TABLES_DIR.exists():\n",
+    "TABLES_DIR = \"../cmip7-cmor-tables/tables\"\n",
+    "CV_PATH = \"../cmip7-cmor-tables/tables-cvs/cmor-cvs.json\"\n",
+    "if not Path(TABLES_DIR).exists():\n",
     "    raise FileNotFoundError(f\"CMIP7 tables directory not found: {TABLES_DIR}\")\n",
+    "if not Path(CV_PATH).exists():\n",
+    "    raise FileNotFoundError(f\"CMIP7 CV file not found: {CV_PATH}\")\n",
     "\n",
-    "CV_FILE_FROM_TABLES_DIR = \"../tables-cvs/cmor-cvs.json\"\n",
-    "\n",
-    "print(f\"Using CMIP7 tables from {TABLES_REPO}\")\n"
+    "print(f\"Using CMIP7 tables from {TABLES_DIR}\")\n"
    ]
   },
   {
@@ -66,10 +58,10 @@
    "id": "795d90b2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:49:28.136102Z",
-     "iopub.status.busy": "2026-05-29T21:49:28.135980Z",
-     "iopub.status.idle": "2026-05-29T21:49:28.145396Z",
-     "shell.execute_reply": "2026-05-29T21:49:28.145004Z"
+     "iopub.execute_input": "2026-05-29T22:05:21.497510Z",
+     "iopub.status.busy": "2026-05-29T22:05:21.497334Z",
+     "iopub.status.idle": "2026-05-29T22:05:21.506791Z",
+     "shell.execute_reply": "2026-05-29T22:05:21.506302Z"
     }
    },
    "outputs": [
@@ -85,7 +77,7 @@
     }
    ],
    "source": [
-    "run_dir = REPO_ROOT / \"notebooks\" / \"output\" / \"04_hybrid_sigma_zfactors\"\n",
+    "run_dir = Path(\"output\") / \"04_hybrid_sigma_zfactors\"\n",
     "if run_dir.exists():\n",
     "    shutil.rmtree(run_dir)\n",
     "output_dir = run_dir / \"cmor_output\"\n",
@@ -95,7 +87,7 @@
     "    \"_AXIS_ENTRY_FILE\": \"CMIP7_coordinate.json\",\n",
     "    \"_FORMULA_VAR_FILE\": \"CMIP7_formula_terms.json\",\n",
     "    \"_cmip7_option\": 1,\n",
-    "    \"_controlled_vocabulary_file\": CV_FILE_FROM_TABLES_DIR,\n",
+    "    \"_controlled_vocabulary_file\": CV_PATH,\n",
     "    \"activity_id\": \"CMIP\",\n",
     "    \"calendar\": \"360_day\",\n",
     "    \"drs_specs\": \"MIP-DRS7\",\n",
@@ -157,17 +149,17 @@
    "id": "08d92b3e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:49:28.146543Z",
-     "iopub.status.busy": "2026-05-29T21:49:28.146465Z",
-     "iopub.status.idle": "2026-05-29T21:49:28.221503Z",
-     "shell.execute_reply": "2026-05-29T21:49:28.221116Z"
+     "iopub.execute_input": "2026-05-29T22:05:21.508252Z",
+     "iopub.status.busy": "2026-05-29T22:05:21.508133Z",
+     "iopub.status.idle": "2026-05-29T22:05:21.589773Z",
+     "shell.execute_reply": "2026-05-29T22:05:21.589332Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "PosixPath('/Users/mauzey1/Desktop/github/cmor/notebooks/output/04_hybrid_sigma_zfactors/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/ta/tavg-al-hxy-u/g999/v20260529/ta_tavg-al-hxy-u_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201801-201802.nc')"
+       "PosixPath('output/04_hybrid_sigma_zfactors/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/ta/tavg-al-hxy-u/g999/v20260529/ta_tavg-al-hxy-u_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201801-201802.nc')"
       ]
      },
      "execution_count": 3,
@@ -177,7 +169,7 @@
    ],
    "source": [
     "cmor.setup(\n",
-    "    inpath=str(TABLES_DIR),\n",
+    "    inpath=TABLES_DIR,\n",
     "    netcdf_file_action=cmor.CMOR_REPLACE,\n",
     "    logfile=str(run_dir / \"cmor.log\"),\n",
     ")\n",
@@ -198,12 +190,12 @@
     "ta_id = cmor.variable(variable_name, \"K\", [time_id, lev_id, lat_id, lon_id])\n",
     "compound_name = \".\".join([\"atmos\"] + variable_name.split(\"_\") + [\"mon\", \"glb\"])\n",
     "\n",
-    "with open(TABLES_DIR / \"CMIP7_cell_measures.json\") as handle:\n",
+    "with open(Path(TABLES_DIR) / \"CMIP7_cell_measures.json\") as handle:\n",
     "    cell_measure = json.load(handle)[\"cell_measures\"].get(compound_name)\n",
     "if cell_measure:\n",
     "    cmor.set_variable_attribute(ta_id, \"cell_measures\", \"c\", cell_measure)\n",
     "\n",
-    "with open(TABLES_DIR / \"CMIP7_long_name_overrides.json\") as handle:\n",
+    "with open(Path(TABLES_DIR) / \"CMIP7_long_name_overrides.json\") as handle:\n",
     "    long_name = json.load(handle)[\"long_name_overrides\"].get(compound_name)\n",
     "if long_name:\n",
     "    cmor.set_variable_attribute(ta_id, \"long_name\", \"c\", long_name)\n",
@@ -213,7 +205,7 @@
     "netcdf_path = Path(cmor.close(ta_id, file_name=True))\n",
     "cmor.close()\n",
     "\n",
-    "netcdf_path\n"
+    "netcdf_path.resolve().relative_to(Path.cwd().resolve())\n"
    ]
   },
   {
@@ -222,10 +214,10 @@
    "id": "85b00c73",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:49:28.222714Z",
-     "iopub.status.busy": "2026-05-29T21:49:28.222640Z",
-     "iopub.status.idle": "2026-05-29T21:49:28.343643Z",
-     "shell.execute_reply": "2026-05-29T21:49:28.343213Z"
+     "iopub.execute_input": "2026-05-29T22:05:21.590936Z",
+     "iopub.status.busy": "2026-05-29T22:05:21.590862Z",
+     "iopub.status.idle": "2026-05-29T22:05:21.715782Z",
+     "shell.execute_reply": "2026-05-29T22:05:21.715291Z"
     }
    },
    "outputs": [
@@ -800,22 +792,22 @@
        "    area_label:            u\n",
        "    branded_variable:      ta_tavg-al-hxy-u\n",
        "    branding_suffix:       tavg-al-hxy-u\n",
-       "    creation_date:         2026-05-29T21:49:28Z\n",
+       "    creation_date:         2026-05-29T22:05:21Z\n",
        "    ...                    ...\n",
        "    variable_id:           ta\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        al\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
        "    cmor_version:          3.15.1\n",
-       "    tracking_id:           hdl:21.14107/9192cf35-f059-41e0-81ac-9ef2a874af73</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3e97a383-c1ca-4828-a31a-f63900962d8e' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-3e97a383-c1ca-4828-a31a-f63900962d8e' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lev</span>: 5</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div></li><li class='xr-section-item'><input id='section-fab83571-be40-4740-898a-0ad58a19c279' class='xr-section-summary-in' type='checkbox' checked /><label for='section-fab83571-be40-4740-898a-0ad58a19c279' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0</div><input id='attrs-3f809514-ea68-4b21-9f9c-13d10c23c4b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f809514-ea68-4b21-9f9c-13d10c23c4b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd5ae7b4-07d0-41ff-995e-13daf85574d2' class='xr-var-data-in' type='checkbox'><label for='data-bd5ae7b4-07d0-41ff-995e-13daf85574d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.95 0.75 0.5 0.25 0.05</div><input id='attrs-fe39d5b4-108f-4573-a3e3-ed7e8f3c7262' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe39d5b4-108f-4573-a3e3-ed7e8f3c7262' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a35e6d85-0dab-4f1a-8e2e-c469ca92b3cb' class='xr-var-data-in' type='checkbox'><label for='data-a35e6d85-0dab-4f1a-8e2e-c469ca92b3cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lev_bnds</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>hybrid sigma pressure coordinate</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a b: b ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([0.95, 0.75, 0.5 , 0.25, 0.05])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-6ff1e964-f339-4479-a62c-19b6af41c44a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ff1e964-f339-4479-a62c-19b6af41c44a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c52debe-969a-4656-90d6-6ddf5f097576' class='xr-var-data-in' type='checkbox'><label for='data-4c52debe-969a-4656-90d6-6ddf5f097576' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
-       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-cdc94818-8991-4a06-9d42-faaeb5eaa481' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cdc94818-8991-4a06-9d42-faaeb5eaa481' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2bffeae8-daec-4ed1-be09-5fa81bac9ac6' class='xr-var-data-in' type='checkbox'><label for='data-2bffeae8-daec-4ed1-be09-5fa81bac9ac6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
+       "    tracking_id:           hdl:21.14107/c8ae6c2f-311d-40f4-8bc4-43384a8759ab</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3b1f2627-f774-485f-83a6-5f197ab25dd6' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-3b1f2627-f774-485f-83a6-5f197ab25dd6' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lev</span>: 5</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div></li><li class='xr-section-item'><input id='section-13515041-2270-4847-91ff-fcf2a75db077' class='xr-section-summary-in' type='checkbox' checked /><label for='section-13515041-2270-4847-91ff-fcf2a75db077' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0</div><input id='attrs-48ed6f6b-8f56-4048-b58c-3455c4bfcbde' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-48ed6f6b-8f56-4048-b58c-3455c4bfcbde' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-637c293d-e4b7-4db1-b02b-46c97c17f590' class='xr-var-data-in' type='checkbox'><label for='data-637c293d-e4b7-4db1-b02b-46c97c17f590' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.95 0.75 0.5 0.25 0.05</div><input id='attrs-ebb7afb4-7951-4a81-b4e1-c1b90806cfba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ebb7afb4-7951-4a81-b4e1-c1b90806cfba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f333457-2be7-4e3b-8ed1-11bff70c51ce' class='xr-var-data-in' type='checkbox'><label for='data-8f333457-2be7-4e3b-8ed1-11bff70c51ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lev_bnds</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>hybrid sigma pressure coordinate</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a b: b ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([0.95, 0.75, 0.5 , 0.25, 0.05])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-1d81bde1-f109-46ab-a8e4-b60dd152b34d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d81bde1-f109-46ab-a8e4-b60dd152b34d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-756220e6-8160-4779-945c-f8b83fd6fc14' class='xr-var-data-in' type='checkbox'><label for='data-756220e6-8160-4779-945c-f8b83fd6fc14' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
+       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-df04fe56-3799-4397-b66d-f1ded1443d1a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df04fe56-3799-4397-b66d-f1ded1443d1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96a9afb5-ec57-4c1e-8565-08cf9a38d40b' class='xr-var-data-in' type='checkbox'><label for='data-96a9afb5-ec57-4c1e-8565-08cf9a38d40b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
        "       125., 135., 145., 155., 165., 175., 185., 195., 205., 215., 225., 235.,\n",
-       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9296cc5d-b205-40dd-acc2-4c9f8b07d395' class='xr-section-summary-in' type='checkbox' checked /><label for='section-9296cc5d-b205-40dd-acc2-4c9f8b07d395' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0</div><input id='attrs-150f5fd8-abf7-4d2d-9226-67eec5f74a25' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-150f5fd8-abf7-4d2d-9226-67eec5f74a25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02825bbd-fd3d-42ed-a814-4852a143f505' class='xr-var-data-in' type='checkbox'><label for='data-02825bbd-fd3d-42ed-a814-4852a143f505' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
-       "       [30., 60.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lev_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.85 0.85 ... 0.125 0.125 0.0</div><input id='attrs-537d0e22-5e3a-45a9-9917-9d0aa8f05b15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-537d0e22-5e3a-45a9-9917-9d0aa8f05b15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f963cee-fcd8-421a-a230-6043b509c7d8' class='xr-var-data-in' type='checkbox'><label for='data-6f963cee-fcd8-421a-a230-6043b509c7d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a_bnds b: b_bnds ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([[1.   , 0.85 ],\n",
+       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bc5473d8-f488-450b-a06b-3589319d2405' class='xr-section-summary-in' type='checkbox' checked /><label for='section-bc5473d8-f488-450b-a06b-3589319d2405' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0</div><input id='attrs-178c75dc-e191-49af-880f-81cf5c02e31e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-178c75dc-e191-49af-880f-81cf5c02e31e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c01ec580-008d-41e8-853e-c4122e734966' class='xr-var-data-in' type='checkbox'><label for='data-c01ec580-008d-41e8-853e-c4122e734966' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
+       "       [30., 60.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lev_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.85 0.85 ... 0.125 0.125 0.0</div><input id='attrs-730a28c5-9413-42e3-91ae-a0911ae48ccd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-730a28c5-9413-42e3-91ae-a0911ae48ccd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3a4f707-5f09-4e1b-a129-45e1d23eefd4' class='xr-var-data-in' type='checkbox'><label for='data-d3a4f707-5f09-4e1b-a129-45e1d23eefd4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a_bnds b: b_bnds ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([[1.   , 0.85 ],\n",
        "       [0.85 , 0.625],\n",
        "       [0.625, 0.375],\n",
        "       [0.375, 0.125],\n",
-       "       [0.125, 0.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p0</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05</div><input id='attrs-c3ac6f52-c01c-43b5-bed6-d2b9649f67c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3ac6f52-c01c-43b5-bed6-d2b9649f67c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9b77c36-5208-4f7b-8193-e00d4d178d93' class='xr-var-data-in' type='checkbox'><label for='data-b9b77c36-5208-4f7b-8193-e00d4d178d93' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>reference_air_pressure_for_atmosphere_vertical_coordinate</dd><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: reference pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array(100000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.02 0.05 0.1 0.2 0.35</div><input id='attrs-2c1dd661-bd42-4d64-b448-530783a18286' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c1dd661-bd42-4d64-b448-530783a18286' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-272e45ba-80fa-4b0e-8174-6f7f52e5bff8' class='xr-var-data-in' type='checkbox'><label for='data-272e45ba-80fa-4b0e-8174-6f7f52e5bff8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a</dd></dl></div><div class='xr-var-data'><pre>array([0.02, 0.05, 0.1 , 0.2 , 0.35])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9 0.7 0.45 0.2 0.03</div><input id='attrs-78f2b04f-4cde-4e05-952f-fc8ec7afbba7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78f2b04f-4cde-4e05-952f-fc8ec7afbba7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80d44c28-d969-4f5d-b9f4-6647b7ef4688' class='xr-var-data-in' type='checkbox'><label for='data-80d44c28-d969-4f5d-b9f4-6647b7ef4688' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b</dd></dl></div><div class='xr-var-data'><pre>array([0.9 , 0.7 , 0.45, 0.2 , 0.03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ps</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>8.639e+04 8.638e+04 ... 8.654e+04</div><input id='attrs-d9680a80-5063-4a75-8efe-aee7c290d08b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9680a80-5063-4a75-8efe-aee7c290d08b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9da1568a-d610-4447-89d6-bbce56bbe8b2' class='xr-var-data-in' type='checkbox'><label for='data-9da1568a-d610-4447-89d6-bbce56bbe8b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>long_name :</span></dt><dd>Surface Air Pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array([[[86390.016, 86380.93 , 86363.05 , ..., 86363.05 , 86380.93 ,\n",
+       "       [0.125, 0.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p0</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05</div><input id='attrs-b444842f-c97d-455a-9a87-b12f09fbabe5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b444842f-c97d-455a-9a87-b12f09fbabe5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a977c4db-e11a-4307-805d-c8298ebe86e2' class='xr-var-data-in' type='checkbox'><label for='data-a977c4db-e11a-4307-805d-c8298ebe86e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>reference_air_pressure_for_atmosphere_vertical_coordinate</dd><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: reference pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array(100000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.02 0.05 0.1 0.2 0.35</div><input id='attrs-c8018da1-a273-4b07-85e5-00b5471afd60' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8018da1-a273-4b07-85e5-00b5471afd60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16e713b8-cf9b-4e0f-9705-5e294aea4add' class='xr-var-data-in' type='checkbox'><label for='data-16e713b8-cf9b-4e0f-9705-5e294aea4add' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a</dd></dl></div><div class='xr-var-data'><pre>array([0.02, 0.05, 0.1 , 0.2 , 0.35])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9 0.7 0.45 0.2 0.03</div><input id='attrs-fcd96aa1-1fdb-4733-b4c6-6943cb686c79' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fcd96aa1-1fdb-4733-b4c6-6943cb686c79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f240ee1b-5d58-44e8-955d-cee17fa7d6bc' class='xr-var-data-in' type='checkbox'><label for='data-f240ee1b-5d58-44e8-955d-cee17fa7d6bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b</dd></dl></div><div class='xr-var-data'><pre>array([0.9 , 0.7 , 0.45, 0.2 , 0.03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ps</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>8.639e+04 8.638e+04 ... 8.654e+04</div><input id='attrs-4e5b54a8-6815-4f7a-8301-f320dc9d8eb0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e5b54a8-6815-4f7a-8301-f320dc9d8eb0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eeab087a-c748-46e4-8e70-4f7258bbd14f' class='xr-var-data-in' type='checkbox'><label for='data-eeab087a-c748-46e4-8e70-4f7258bbd14f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>long_name :</span></dt><dd>Surface Air Pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array([[[86390.016, 86380.93 , 86363.05 , ..., 86363.05 , 86380.93 ,\n",
        "         86390.016],\n",
        "        [87102.7  , 87093.625, 87075.74 , ..., 87075.74 , 87093.625,\n",
        "         87102.7  ],\n",
@@ -841,15 +833,15 @@
        "        [87252.7  , 87243.625, 87225.74 , ..., 87225.74 , 87243.625,\n",
        "         87252.7  ],\n",
        "        [86540.016, 86530.93 , 86513.05 , ..., 86513.05 , 86530.93 ,\n",
-       "         86540.016]]], shape=(2, 18, 36), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.035 0.035 ... 0.275 0.45</div><input id='attrs-5397c4d7-52c9-4283-9970-759420ef43e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5397c4d7-52c9-4283-9970-759420ef43e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f45ff66c-27ab-4e5f-a170-9535fbb199c6' class='xr-var-data-in' type='checkbox'><label for='data-f45ff66c-27ab-4e5f-a170-9535fbb199c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[0.   , 0.035],\n",
+       "         86540.016]]], shape=(2, 18, 36), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.035 0.035 ... 0.275 0.45</div><input id='attrs-a706784f-23c1-4e59-ac10-6de1892a0b25' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a706784f-23c1-4e59-ac10-6de1892a0b25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b09edc2-f078-4106-b06d-dfd060adb918' class='xr-var-data-in' type='checkbox'><label for='data-4b09edc2-f078-4106-b06d-dfd060adb918' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[0.   , 0.035],\n",
        "       [0.035, 0.075],\n",
        "       [0.075, 0.15 ],\n",
        "       [0.15 , 0.275],\n",
-       "       [0.275, 0.45 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.8 0.8 ... 0.115 0.115 0.0</div><input id='attrs-d93981b0-6faa-4d2d-a845-5072caef643d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d93981b0-6faa-4d2d-a845-5072caef643d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-853cdb95-e862-43fe-bafc-54a68b8aa3e5' class='xr-var-data-in' type='checkbox'><label for='data-853cdb95-e862-43fe-bafc-54a68b8aa3e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[1.   , 0.8  ],\n",
+       "       [0.275, 0.45 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.8 0.8 ... 0.115 0.115 0.0</div><input id='attrs-0a06aacd-7e62-4e7f-9ae6-96b3d94d6737' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a06aacd-7e62-4e7f-9ae6-96b3d94d6737' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4501568e-0bf8-4484-ab78-5b950275d485' class='xr-var-data-in' type='checkbox'><label for='data-4501568e-0bf8-4484-ab78-5b950275d485' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[1.   , 0.8  ],\n",
        "       [0.8  , 0.575],\n",
        "       [0.575, 0.325],\n",
        "       [0.325, 0.115],\n",
-       "       [0.115, 0.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-d29e0f8c-b23f-43a1-a1ae-8cc355a079e8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d29e0f8c-b23f-43a1-a1ae-8cc355a079e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-126a4e9c-6c3a-4329-9df5-860651eaf55c' class='xr-var-data-in' type='checkbox'><label for='data-126a4e9c-6c3a-4329-9df5-860651eaf55c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
+       "       [0.115, 0.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-af61861b-c7f8-40f0-82ad-accd2503ee92' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-af61861b-c7f8-40f0-82ad-accd2503ee92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db59e760-5cee-4a33-aa33-7387610d8255' class='xr-var-data-in' type='checkbox'><label for='data-db59e760-5cee-4a33-aa33-7387610d8255' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
        "       [-80., -70.],\n",
        "       [-70., -60.],\n",
        "       [-60., -50.],\n",
@@ -866,7 +858,7 @@
        "       [ 50.,  60.],\n",
        "       [ 60.,  70.],\n",
        "       [ 70.,  80.],\n",
-       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-27741543-a8b0-4b87-930f-8cfe9613d7ae' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-27741543-a8b0-4b87-930f-8cfe9613d7ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-351e6ef8-ff73-47d4-8c3d-600703c287df' class='xr-var-data-in' type='checkbox'><label for='data-351e6ef8-ff73-47d4-8c3d-600703c287df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
+       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-e2bcd4fa-07aa-4eef-ade9-ef9e3328ff52' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e2bcd4fa-07aa-4eef-ade9-ef9e3328ff52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0170c2a-6cf7-47ea-8725-8b31b5f14550' class='xr-var-data-in' type='checkbox'><label for='data-b0170c2a-6cf7-47ea-8725-8b31b5f14550' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
        "       [ 10.,  20.],\n",
        "       [ 20.,  30.],\n",
        "       [ 30.,  40.],\n",
@@ -901,7 +893,7 @@
        "       [320., 330.],\n",
        "       [330., 340.],\n",
        "       [340., 350.],\n",
-       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>258.5 258.4 258.4 ... 209.9 210.0</div><input id='attrs-cb68b21b-45ed-4459-9b62-34fe85415cbb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb68b21b-45ed-4459-9b62-34fe85415cbb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-195eff23-ba3f-45bb-a6d4-35088bde46b3' class='xr-var-data-in' type='checkbox'><label for='data-195eff23-ba3f-45bb-a6d4-35088bde46b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[258.4741 , 258.44382, 258.3842 , ..., 258.3842 , 258.44382,\n",
+       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>258.5 258.4 258.4 ... 209.9 210.0</div><input id='attrs-11712163-3728-4392-bde0-e274be5c7ddd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11712163-3728-4392-bde0-e274be5c7ddd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81441697-a941-4571-83a6-46fbc061afb6' class='xr-var-data-in' type='checkbox'><label for='data-81441697-a941-4571-83a6-46fbc061afb6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[258.4741 , 258.44382, 258.3842 , ..., 258.3842 , 258.44382,\n",
        "          258.4741 ],\n",
        "         [260.25583, 260.22556, 260.16592, ..., 260.16592, 260.22556,\n",
        "          260.25583],\n",
@@ -941,7 +933,7 @@
        "         [211.75581, 211.72554, 211.66592, ..., 211.66592, 211.72554,\n",
        "          211.75581],\n",
        "         [209.97408, 209.94382, 209.88419, ..., 209.88419, 209.94382,\n",
-       "          209.97408]]]], shape=(2, 5, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-66a399fc-40ea-422e-92ee-e17138cb6bf8' class='xr-section-summary-in' type='checkbox' /><label for='section-66a399fc-40ea-422e-92ee-e17138cb6bf8' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>ta_tavg-al-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-al-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T21:49:28Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T21:49:28Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>variable_id :</span></dt><dd>ta</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>al</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/9192cf35-f059-41e0-81ac-9ef2a874af73</dd></dl></div></li></ul></div></div>"
+       "          209.97408]]]], shape=(2, 5, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6abea1dd-2893-4abf-8124-ed39182a0f4c' class='xr-section-summary-in' type='checkbox' /><label for='section-6abea1dd-2893-4abf-8124-ed39182a0f4c' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>ta_tavg-al-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-al-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T22:05:21Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T22:05:21Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>variable_id :</span></dt><dd>ta</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>al</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/c8ae6c2f-311d-40f4-8bc4-43384a8759ab</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 33kB\n",
@@ -970,14 +962,14 @@
        "    area_label:            u\n",
        "    branded_variable:      ta_tavg-al-hxy-u\n",
        "    branding_suffix:       tavg-al-hxy-u\n",
-       "    creation_date:         2026-05-29T21:49:28Z\n",
+       "    creation_date:         2026-05-29T22:05:21Z\n",
        "    ...                    ...\n",
        "    variable_id:           ta\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        al\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
        "    cmor_version:          3.15.1\n",
-       "    tracking_id:           hdl:21.14107/9192cf35-f059-41e0-81ac-9ef2a874af73"
+       "    tracking_id:           hdl:21.14107/c8ae6c2f-311d-40f4-8bc4-43384a8759ab"
       ]
      },
      "execution_count": 4,
@@ -997,10 +989,10 @@
    "id": "07c200fc",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:49:28.344929Z",
-     "iopub.status.busy": "2026-05-29T21:49:28.344836Z",
-     "iopub.status.idle": "2026-05-29T21:49:28.480518Z",
-     "shell.execute_reply": "2026-05-29T21:49:28.480004Z"
+     "iopub.execute_input": "2026-05-29T22:05:21.718076Z",
+     "iopub.status.busy": "2026-05-29T22:05:21.717925Z",
+     "iopub.status.idle": "2026-05-29T22:05:21.851799Z",
+     "shell.execute_reply": "2026-05-29T22:05:21.851292Z"
     }
    },
    "outputs": [
diff --git a/notebooks/05_curvilinear_ocean_grid.ipynb b/notebooks/05_curvilinear_ocean_grid.ipynb
index c06c7e91..3334efa2 100644
--- a/notebooks/05_curvilinear_ocean_grid.ipynb
+++ b/notebooks/05_curvilinear_ocean_grid.ipynb
@@ -16,10 +16,10 @@
    "id": "b1ff03ee",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:51:45.142833Z",
-     "iopub.status.busy": "2026-05-29T21:51:45.142654Z",
-     "iopub.status.idle": "2026-05-29T21:51:45.631848Z",
-     "shell.execute_reply": "2026-05-29T21:51:45.631358Z"
+     "iopub.execute_input": "2026-05-29T22:05:22.741003Z",
+     "iopub.status.busy": "2026-05-29T22:05:22.740880Z",
+     "iopub.status.idle": "2026-05-29T22:05:23.251870Z",
+     "shell.execute_reply": "2026-05-29T22:05:23.251374Z"
     }
    },
    "outputs": [
@@ -27,7 +27,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Using CMIP7 tables from /Users/mauzey1/Desktop/github/cmor/cmip7-cmor-tables\n"
+      "Using CMIP7 tables from ../cmip7-cmor-tables/tables\n"
      ]
     }
    ],
@@ -42,22 +42,14 @@
     "import numpy as np\n",
     "import xarray as xr\n",
     "\n",
-    "start = Path.cwd().resolve()\n",
-    "for candidate in (start, *start.parents):\n",
-    "    if (candidate / \"notebooks\" / \"NOTEBOOKS.md\").exists() or (candidate / \".git\").exists():\n",
-    "        REPO_ROOT = candidate\n",
-    "        break\n",
-    "else:\n",
-    "    REPO_ROOT = start\n",
-    "\n",
-    "TABLES_REPO = REPO_ROOT / \"cmip7-cmor-tables\"\n",
-    "TABLES_DIR = TABLES_REPO / \"tables\"\n",
-    "if not TABLES_DIR.exists():\n",
+    "TABLES_DIR = \"../cmip7-cmor-tables/tables\"\n",
+    "CV_PATH = \"../cmip7-cmor-tables/tables-cvs/cmor-cvs.json\"\n",
+    "if not Path(TABLES_DIR).exists():\n",
     "    raise FileNotFoundError(f\"CMIP7 tables directory not found: {TABLES_DIR}\")\n",
+    "if not Path(CV_PATH).exists():\n",
+    "    raise FileNotFoundError(f\"CMIP7 CV file not found: {CV_PATH}\")\n",
     "\n",
-    "CV_FILE_FROM_TABLES_DIR = \"../tables-cvs/cmor-cvs.json\"\n",
-    "\n",
-    "print(f\"Using CMIP7 tables from {TABLES_REPO}\")\n"
+    "print(f\"Using CMIP7 tables from {TABLES_DIR}\")\n"
    ]
   },
   {
@@ -66,10 +58,10 @@
    "id": "88d6766e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:51:45.633188Z",
-     "iopub.status.busy": "2026-05-29T21:51:45.633069Z",
-     "iopub.status.idle": "2026-05-29T21:51:45.652447Z",
-     "shell.execute_reply": "2026-05-29T21:51:45.652115Z"
+     "iopub.execute_input": "2026-05-29T22:05:23.253616Z",
+     "iopub.status.busy": "2026-05-29T22:05:23.253439Z",
+     "iopub.status.idle": "2026-05-29T22:05:23.274100Z",
+     "shell.execute_reply": "2026-05-29T22:05:23.273664Z"
     }
    },
    "outputs": [
@@ -85,7 +77,7 @@
     }
    ],
    "source": [
-    "run_dir = REPO_ROOT / \"notebooks\" / \"output\" / \"05_curvilinear_ocean_grid\"\n",
+    "run_dir = Path(\"output\") / \"05_curvilinear_ocean_grid\"\n",
     "if run_dir.exists():\n",
     "    shutil.rmtree(run_dir)\n",
     "output_dir = run_dir / \"cmor_output\"\n",
@@ -95,7 +87,7 @@
     "    \"_AXIS_ENTRY_FILE\": \"CMIP7_coordinate.json\",\n",
     "    \"_FORMULA_VAR_FILE\": \"CMIP7_formula_terms.json\",\n",
     "    \"_cmip7_option\": 1,\n",
-    "    \"_controlled_vocabulary_file\": CV_FILE_FROM_TABLES_DIR,\n",
+    "    \"_controlled_vocabulary_file\": CV_PATH,\n",
     "    \"activity_id\": \"CMIP\",\n",
     "    \"calendar\": \"360_day\",\n",
     "    \"drs_specs\": \"MIP-DRS7\",\n",
@@ -169,17 +161,17 @@
    "id": "ab381eda",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:51:45.653863Z",
-     "iopub.status.busy": "2026-05-29T21:51:45.653789Z",
-     "iopub.status.idle": "2026-05-29T21:51:45.727780Z",
-     "shell.execute_reply": "2026-05-29T21:51:45.727358Z"
+     "iopub.execute_input": "2026-05-29T22:05:23.275391Z",
+     "iopub.status.busy": "2026-05-29T22:05:23.275310Z",
+     "iopub.status.idle": "2026-05-29T22:05:23.348788Z",
+     "shell.execute_reply": "2026-05-29T22:05:23.348367Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "PosixPath('/Users/mauzey1/Desktop/github/cmor/notebooks/output/05_curvilinear_ocean_grid/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tos/tavg-u-hxy-sea/g999/v20260529/tos_tavg-u-hxy-sea_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201801-201802.nc')"
+       "PosixPath('output/05_curvilinear_ocean_grid/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tos/tavg-u-hxy-sea/g999/v20260529/tos_tavg-u-hxy-sea_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201801-201802.nc')"
       ]
      },
      "execution_count": 3,
@@ -189,7 +181,7 @@
    ],
    "source": [
     "cmor.setup(\n",
-    "    inpath=str(TABLES_DIR),\n",
+    "    inpath=TABLES_DIR,\n",
     "    netcdf_file_action=cmor.CMOR_REPLACE,\n",
     "    logfile=str(run_dir / \"cmor.log\"),\n",
     ")\n",
@@ -216,12 +208,12 @@
     "tos_id = cmor.variable(variable_name, \"degC\", [time_id, grid_id])\n",
     "compound_name = \".\".join([\"ocean\"] + variable_name.split(\"_\") + [\"mon\", \"glb\"])\n",
     "\n",
-    "with open(TABLES_DIR / \"CMIP7_cell_measures.json\") as handle:\n",
+    "with open(Path(TABLES_DIR) / \"CMIP7_cell_measures.json\") as handle:\n",
     "    cell_measure = json.load(handle)[\"cell_measures\"].get(compound_name)\n",
     "if cell_measure:\n",
     "    cmor.set_variable_attribute(tos_id, \"cell_measures\", \"c\", cell_measure)\n",
     "\n",
-    "with open(TABLES_DIR / \"CMIP7_long_name_overrides.json\") as handle:\n",
+    "with open(Path(TABLES_DIR) / \"CMIP7_long_name_overrides.json\") as handle:\n",
     "    long_name = json.load(handle)[\"long_name_overrides\"].get(compound_name)\n",
     "if long_name:\n",
     "    cmor.set_variable_attribute(tos_id, \"long_name\", \"c\", long_name)\n",
@@ -230,7 +222,7 @@
     "netcdf_path = Path(cmor.close(tos_id, file_name=True))\n",
     "cmor.close()\n",
     "\n",
-    "netcdf_path\n"
+    "netcdf_path.resolve().relative_to(Path.cwd().resolve())\n"
    ]
   },
   {
@@ -239,10 +231,10 @@
    "id": "98246667",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:51:45.728903Z",
-     "iopub.status.busy": "2026-05-29T21:51:45.728832Z",
-     "iopub.status.idle": "2026-05-29T21:51:45.851334Z",
-     "shell.execute_reply": "2026-05-29T21:51:45.850792Z"
+     "iopub.execute_input": "2026-05-29T22:05:23.350290Z",
+     "iopub.status.busy": "2026-05-29T22:05:23.350186Z",
+     "iopub.status.idle": "2026-05-29T22:05:23.469669Z",
+     "shell.execute_reply": "2026-05-29T22:05:23.469209Z"
     }
    },
    "outputs": [
@@ -811,17 +803,17 @@
        "    area_label:            sea\n",
        "    branded_variable:      tos_tavg-u-hxy-sea\n",
        "    branding_suffix:       tavg-u-hxy-sea\n",
-       "    creation_date:         2026-05-29T21:51:45Z\n",
+       "    creation_date:         2026-05-29T22:05:23Z\n",
        "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/26a6313a-7e7f-4542-9a9e-f6449f0b2fca\n",
+       "    tracking_id:           hdl:21.14107/12b4876d-52a9-44eb-b35c-251f776908a6\n",
        "    variable_id:           tos\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5fe395e4-813c-4ee6-b471-266137d05f92' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-5fe395e4-813c-4ee6-b471-266137d05f92' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>y</span>: 18</li><li><span class='xr-has-index'>x</span>: 36</li><li><span>vertices</span>: 4</li></ul></div></li><li class='xr-section-item'><input id='section-59911357-ec8e-4bc0-a2c9-74389d4ecfdf' class='xr-section-summary-in' type='checkbox' checked /><label for='section-59911357-ec8e-4bc0-a2c9-74389d4ecfdf' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0</div><input id='attrs-38385059-e59b-44b0-bf05-c358d400d80e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38385059-e59b-44b0-bf05-c358d400d80e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd6c44b5-33b7-48f7-af64-c1953d09b3d0' class='xr-var-data-in' type='checkbox'><label for='data-bd6c44b5-33b7-48f7-af64-c1953d09b3d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 15.0 16.0 17.0</div><input id='attrs-4340d5d4-16a0-44ac-8316-15e339640d4d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4340d5d4-16a0-44ac-8316-15e339640d4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be701264-5929-45bd-842d-3e2f86b75f6c' class='xr-var-data-in' type='checkbox'><label for='data-be701264-5929-45bd-842d-3e2f86b75f6c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
-       "       14., 15., 16., 17.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 33.0 34.0 35.0</div><input id='attrs-d263ddd3-0196-437e-84a8-b5bdfd4ae649' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d263ddd3-0196-437e-84a8-b5bdfd4ae649' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-137cddda-5131-464e-9912-9d289425964f' class='xr-var-data-in' type='checkbox'><label for='data-137cddda-5131-464e-9912-9d289425964f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-bf25991e-f638-4253-8e16-8fa84f80b098' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-bf25991e-f638-4253-8e16-8fa84f80b098' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>y</span>: 18</li><li><span class='xr-has-index'>x</span>: 36</li><li><span>vertices</span>: 4</li></ul></div></li><li class='xr-section-item'><input id='section-83077e08-73a6-45d5-87d4-a240d8139985' class='xr-section-summary-in' type='checkbox' checked /><label for='section-83077e08-73a6-45d5-87d4-a240d8139985' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0</div><input id='attrs-47043bee-01d7-4ac9-a67e-139234d41a1f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47043bee-01d7-4ac9-a67e-139234d41a1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a989780-c81f-4910-9024-aabacbb52a88' class='xr-var-data-in' type='checkbox'><label for='data-1a989780-c81f-4910-9024-aabacbb52a88' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 15.0 16.0 17.0</div><input id='attrs-bfec39bc-3a3b-41d5-802e-52df9c07c52c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bfec39bc-3a3b-41d5-802e-52df9c07c52c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0725da4c-26e4-4440-9dfb-060a98e880b6' class='xr-var-data-in' type='checkbox'><label for='data-0725da4c-26e4-4440-9dfb-060a98e880b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
+       "       14., 15., 16., 17.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 33.0 34.0 35.0</div><input id='attrs-4da84114-fea9-4430-bc8e-5f2a9adda3e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4da84114-fea9-4430-bc8e-5f2a9adda3e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a23e1cf-789c-4125-b28d-3d7fcae7a447' class='xr-var-data-in' type='checkbox'><label for='data-3a23e1cf-789c-4125-b28d-3d7fcae7a447' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
        "       14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27.,\n",
-       "       28., 29., 30., 31., 32., 33., 34., 35.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-84.99 -84.97 ... 84.97 84.99</div><input id='attrs-ece06456-c40c-43f3-a2f4-0d77b0321382' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ece06456-c40c-43f3-a2f4-0d77b0321382' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc30895d-8038-4e27-b476-a06739a1ca85' class='xr-var-data-in' type='checkbox'><label for='data-dc30895d-8038-4e27-b476-a06739a1ca85' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>bounds :</span></dt><dd>vertices_latitude</dd></dl></div><div class='xr-var-data'><pre>array([[-84.98860581, -84.96616365, -84.94474959, -84.92501428,\n",
+       "       28., 29., 30., 31., 32., 33., 34., 35.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-84.99 -84.97 ... 84.97 84.99</div><input id='attrs-5e75134b-9cde-4bda-baca-56ecf91bb503' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e75134b-9cde-4bda-baca-56ecf91bb503' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4995ccfe-59a5-44e4-9ea6-3f486d890e5d' class='xr-var-data-in' type='checkbox'><label for='data-4995ccfe-59a5-44e4-9ea6-3f486d890e5d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>bounds :</span></dt><dd>vertices_latitude</dd></dl></div><div class='xr-var-data'><pre>array([[-84.98860581, -84.96616365, -84.94474959, -84.92501428,\n",
        "        -84.90755737, -84.89290929, -84.88151511, -84.87372103,\n",
        "        -84.86976387, -84.86976387, -84.87372103, -84.88151511,\n",
        "        -84.89290929, -84.90755737, -84.92501428, -84.94474959,\n",
@@ -861,7 +853,7 @@
        "         84.94474959,  84.92501428,  84.90755737,  84.89290929,\n",
        "         84.88151511,  84.87372103,  84.86976387,  84.86976387,\n",
        "         84.87372103,  84.88151511,  84.89290929,  84.90755737,\n",
-       "         84.92501428,  84.94474959,  84.96616365,  84.98860581]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.506 13.51 23.51 ... 346.5 356.5</div><input id='attrs-5ca731e5-1719-4975-abd6-4ba6deaed695' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5ca731e5-1719-4975-abd6-4ba6deaed695' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-991a713c-2ff2-46b3-8472-06bdc5328c06' class='xr-var-data-in' type='checkbox'><label for='data-991a713c-2ff2-46b3-8472-06bdc5328c06' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>bounds :</span></dt><dd>vertices_longitude</dd></dl></div><div class='xr-var-data'><pre>array([[  3.50570795,  13.50570795,  23.50570795,  33.50570795,\n",
+       "         84.92501428,  84.94474959,  84.96616365,  84.98860581]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.506 13.51 23.51 ... 346.5 356.5</div><input id='attrs-2253ca22-7be1-4976-b1d6-f108a1bbd807' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2253ca22-7be1-4976-b1d6-f108a1bbd807' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f9075d1-0b17-4e18-bbcd-f449f0dfb373' class='xr-var-data-in' type='checkbox'><label for='data-8f9075d1-0b17-4e18-bbcd-f449f0dfb373' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>bounds :</span></dt><dd>vertices_longitude</dd></dl></div><div class='xr-var-data'><pre>array([[  3.50570795,  13.50570795,  23.50570795,  33.50570795,\n",
        "         43.50570795,  53.50570795,  63.50570795,  73.50570795,\n",
        "         83.50570795,  93.50570795, 103.50570795, 113.50570795,\n",
        "        123.50570795, 133.50570795, 143.50570795, 153.50570795,\n",
@@ -901,8 +893,8 @@
        "        206.49429205, 216.49429205, 226.49429205, 236.49429205,\n",
        "        246.49429205, 256.49429205, 266.49429205, 276.49429205,\n",
        "        286.49429205, 296.49429205, 306.49429205, 316.49429205,\n",
-       "        326.49429205, 336.49429205, 346.49429205, 356.49429205]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c45768a1-7788-4cd5-9ff5-ad7472bdba32' class='xr-section-summary-in' type='checkbox' checked /><label for='section-c45768a1-7788-4cd5-9ff5-ad7472bdba32' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0</div><input id='attrs-6499a0ee-9c5c-43bd-87b5-4fd6ed3cfdcf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6499a0ee-9c5c-43bd-87b5-4fd6ed3cfdcf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2897bd56-e849-479a-a3f7-57054ac3601d' class='xr-var-data-in' type='checkbox'><label for='data-2897bd56-e849-479a-a3f7-57054ac3601d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
-       "       [30., 60.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_latitude</span></div><div class='xr-var-dims'>(y, x, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -90.0 -79.95 ... 90.0 90.0</div><input id='attrs-3c048f23-dd52-4744-a510-0decceefcf83' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c048f23-dd52-4744-a510-0decceefcf83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-122cba35-11b4-4f9c-8cfb-b9cee4697da5' class='xr-var-data-in' type='checkbox'><label for='data-122cba35-11b4-4f9c-8cfb-b9cee4697da5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[[-90.        , -90.        , -79.95476947, -80.        ],\n",
+       "        326.49429205, 336.49429205, 346.49429205, 356.49429205]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-174fb2e3-a80b-4a59-a0c7-0444d5e2f9f0' class='xr-section-summary-in' type='checkbox' checked /><label for='section-174fb2e3-a80b-4a59-a0c7-0444d5e2f9f0' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0</div><input id='attrs-20f86a01-7a71-48cb-b229-e9a2aaed5dcb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-20f86a01-7a71-48cb-b229-e9a2aaed5dcb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e18fb944-99d2-4c33-8a76-9316fdfe9179' class='xr-var-data-in' type='checkbox'><label for='data-e18fb944-99d2-4c33-8a76-9316fdfe9179' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
+       "       [30., 60.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_latitude</span></div><div class='xr-var-dims'>(y, x, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -90.0 -79.95 ... 90.0 90.0</div><input id='attrs-d9bb1c4f-fd36-4a6d-8776-e5ec2518cda5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9bb1c4f-fd36-4a6d-8776-e5ec2518cda5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7281cc51-0b6a-491b-97ff-626f0ff81c20' class='xr-var-data-in' type='checkbox'><label for='data-7281cc51-0b6a-491b-97ff-626f0ff81c20' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[[-90.        , -90.        , -79.95476947, -80.        ],\n",
        "        [-90.        , -90.        , -79.91091324, -79.95476947],\n",
        "        [-90.        , -90.        , -79.86976387, -79.91091324],\n",
        "        ...,\n",
@@ -942,7 +934,7 @@
        "        [ 79.86976387,  79.91091324,  90.        ,  90.        ],\n",
        "        [ 79.91091324,  79.95476947,  90.        ,  90.        ],\n",
        "        [ 79.95476947,  80.        ,  90.        ,  90.        ]]],\n",
-       "      shape=(18, 36, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_longitude</span></div><div class='xr-var-dims'>(y, x, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>358.5 8.5 8.523 ... 1.477 1.5 351.5</div><input id='attrs-05894162-9791-4ef7-ae9e-58323607a763' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05894162-9791-4ef7-ae9e-58323607a763' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31ab2abd-0a08-42d0-bd6b-40d8f73a502f' class='xr-var-data-in' type='checkbox'><label for='data-31ab2abd-0a08-42d0-bd6b-40d8f73a502f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[[358.5       ,   8.5       ,   8.52278837, 358.52278837],\n",
+       "      shape=(18, 36, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_longitude</span></div><div class='xr-var-dims'>(y, x, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>358.5 8.5 8.523 ... 1.477 1.5 351.5</div><input id='attrs-e5d27a1e-d1de-4361-9522-3606deb09f79' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e5d27a1e-d1de-4361-9522-3606deb09f79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a6f9aed-386b-4ddc-9a70-23e13ec9fd55' class='xr-var-data-in' type='checkbox'><label for='data-6a6f9aed-386b-4ddc-9a70-23e13ec9fd55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[[358.5       ,   8.5       ,   8.52278837, 358.52278837],\n",
        "        [  8.5       ,  18.5       ,  18.52278837,   8.52278837],\n",
        "        [ 18.5       ,  28.5       ,  28.52278837,  18.52278837],\n",
        "        ...,\n",
@@ -982,7 +974,7 @@
        "        [331.47721163, 341.47721163, 341.5       , 331.5       ],\n",
        "        [341.47721163, 351.47721163, 351.5       , 341.5       ],\n",
        "        [351.47721163,   1.47721163,   1.5       , 351.5       ]]],\n",
-       "      shape=(18, 36, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-8.312 -8.349 ... -7.549 -7.512</div><input id='attrs-5569080f-6377-425d-8426-47bc894d2ce1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5569080f-6377-425d-8426-47bc894d2ce1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5074ddee-3e77-410d-884e-cfb1d78903eb' class='xr-var-data-in' type='checkbox'><label for='data-5074ddee-3e77-410d-884e-cfb1d78903eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd></dl></div><div class='xr-var-data'><pre>array([[[-8.312039 , -8.349005 , -8.430357 , ..., -8.471792 ,\n",
+       "      shape=(18, 36, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-8.312 -8.349 ... -7.549 -7.512</div><input id='attrs-0a12d8c3-4a8f-4912-b84e-e9fa656107f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a12d8c3-4a8f-4912-b84e-e9fa656107f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e75280b-be97-41da-b7f0-e64c9726c5e6' class='xr-var-data-in' type='checkbox'><label for='data-2e75280b-be97-41da-b7f0-e64c9726c5e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd></dl></div><div class='xr-var-data'><pre>array([[[-8.312039 , -8.349005 , -8.430357 , ..., -8.471792 ,\n",
        "         -8.37438  , -8.320584 ],\n",
        "        [-6.820808 , -6.8450875, -6.914289 , ..., -7.0179367,\n",
        "         -6.9085636, -6.842183 ],\n",
@@ -1008,7 +1000,7 @@
        "        [-6.0421834, -6.1085634, -6.217937 , ..., -6.1142893,\n",
        "         -6.0450873, -6.020808 ],\n",
        "        [-7.5205846, -7.57438  , -7.671792 , ..., -7.6303573,\n",
-       "         -7.5490046, -7.5120397]]], shape=(2, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-27c0d081-ba4a-412a-99af-f23374ee52e0' class='xr-section-summary-in' type='checkbox' /><label for='section-27c0d081-ba4a-412a-99af-f23374ee52e0' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>tos_tavg-u-hxy-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-sea</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T21:51:45Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacello</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T21:51:45Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/26a6313a-7e7f-4542-9a9e-f6449f0b2fca</dd><dt><span>variable_id :</span></dt><dd>tos</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+       "         -7.5490046, -7.5120397]]], shape=(2, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-32e869c0-fef4-4c40-aec8-12abb8a63eb8' class='xr-section-summary-in' type='checkbox' /><label for='section-32e869c0-fef4-4c40-aec8-12abb8a63eb8' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>tos_tavg-u-hxy-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-sea</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T22:05:23Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacello</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T22:05:23Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/12b4876d-52a9-44eb-b35c-251f776908a6</dd><dt><span>variable_id :</span></dt><dd>tos</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 58kB\n",
@@ -1031,9 +1023,9 @@
        "    area_label:            sea\n",
        "    branded_variable:      tos_tavg-u-hxy-sea\n",
        "    branding_suffix:       tavg-u-hxy-sea\n",
-       "    creation_date:         2026-05-29T21:51:45Z\n",
+       "    creation_date:         2026-05-29T22:05:23Z\n",
        "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/26a6313a-7e7f-4542-9a9e-f6449f0b2fca\n",
+       "    tracking_id:           hdl:21.14107/12b4876d-52a9-44eb-b35c-251f776908a6\n",
        "    variable_id:           tos\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
@@ -1058,10 +1050,10 @@
    "id": "9148e5df",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T21:51:45.852612Z",
-     "iopub.status.busy": "2026-05-29T21:51:45.852518Z",
-     "iopub.status.idle": "2026-05-29T21:51:45.987033Z",
-     "shell.execute_reply": "2026-05-29T21:51:45.986585Z"
+     "iopub.execute_input": "2026-05-29T22:05:23.470876Z",
+     "iopub.status.busy": "2026-05-29T22:05:23.470788Z",
+     "iopub.status.idle": "2026-05-29T22:05:23.602842Z",
+     "shell.execute_reply": "2026-05-29T22:05:23.602399Z"
     }
    },
    "outputs": [

From c7b8597352d2145e5e30c8d1f84770131dd804c6 Mon Sep 17 00:00:00 2001
From: Chris Mauzey <mauzey1@llnl.gov>
Date: Fri, 29 May 2026 15:39:01 -0700
Subject: [PATCH 06/25] Display dataset as text in notebooks

---
 .../01_basic_ocean_surface_temperature.ipynb  | 801 ++--------------
 .../02_atmos_surface_air_temperature.ipynb    | 811 ++--------------
 .../03_pressure_level_air_temperature.ipynb   | 805 ++--------------
 notebooks/04_hybrid_sigma_zfactors.ipynb      | 862 ++---------------
 notebooks/05_curvilinear_ocean_grid.ipynb     | 900 ++----------------
 5 files changed, 419 insertions(+), 3760 deletions(-)

diff --git a/notebooks/01_basic_ocean_surface_temperature.ipynb b/notebooks/01_basic_ocean_surface_temperature.ipynb
index d6cc6245..14de8a2c 100644
--- a/notebooks/01_basic_ocean_surface_temperature.ipynb
+++ b/notebooks/01_basic_ocean_surface_temperature.ipynb
@@ -16,10 +16,10 @@
    "id": "1ef49a65",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:05:15.818675Z",
-     "iopub.status.busy": "2026-05-29T22:05:15.818546Z",
-     "iopub.status.idle": "2026-05-29T22:05:16.318746Z",
-     "shell.execute_reply": "2026-05-29T22:05:16.318382Z"
+     "iopub.execute_input": "2026-05-29T22:37:07.772266Z",
+     "iopub.status.busy": "2026-05-29T22:37:07.772119Z",
+     "iopub.status.idle": "2026-05-29T22:37:08.274580Z",
+     "shell.execute_reply": "2026-05-29T22:37:08.274087Z"
     }
    },
    "outputs": [
@@ -58,10 +58,10 @@
    "id": "98a3af92",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:05:16.320231Z",
-     "iopub.status.busy": "2026-05-29T22:05:16.320102Z",
-     "iopub.status.idle": "2026-05-29T22:05:16.327572Z",
-     "shell.execute_reply": "2026-05-29T22:05:16.327149Z"
+     "iopub.execute_input": "2026-05-29T22:37:08.275975Z",
+     "iopub.status.busy": "2026-05-29T22:37:08.275841Z",
+     "iopub.status.idle": "2026-05-29T22:37:08.284069Z",
+     "shell.execute_reply": "2026-05-29T22:37:08.283635Z"
     }
    },
    "outputs": [
@@ -133,10 +133,10 @@
    "id": "33c84a99",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:05:16.328849Z",
-     "iopub.status.busy": "2026-05-29T22:05:16.328773Z",
-     "iopub.status.idle": "2026-05-29T22:05:16.394433Z",
-     "shell.execute_reply": "2026-05-29T22:05:16.394034Z"
+     "iopub.execute_input": "2026-05-29T22:37:08.285313Z",
+     "iopub.status.busy": "2026-05-29T22:37:08.285224Z",
+     "iopub.status.idle": "2026-05-29T22:37:08.351803Z",
+     "shell.execute_reply": "2026-05-29T22:37:08.351284Z"
     }
    },
    "outputs": [
@@ -191,720 +191,79 @@
    "id": "52566071",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:05:16.395617Z",
-     "iopub.status.busy": "2026-05-29T22:05:16.395543Z",
-     "iopub.status.idle": "2026-05-29T22:05:16.512643Z",
-     "shell.execute_reply": "2026-05-29T22:05:16.512211Z"
+     "iopub.execute_input": "2026-05-29T22:37:08.353003Z",
+     "iopub.status.busy": "2026-05-29T22:37:08.352930Z",
+     "iopub.status.idle": "2026-05-29T22:37:08.466804Z",
+     "shell.execute_reply": "2026-05-29T22:37:08.466424Z"
     }
    },
    "outputs": [
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-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  border-top: 2px dotted var(--xr-background-color);\n",
-       "  padding-bottom: 20px !important;\n",
-       "  padding-top: 10px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in + label,\n",
-       ".xr-var-data-in + label,\n",
-       ".xr-index-data-in + label {\n",
-       "  padding: 0 1px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > pre,\n",
-       ".xr-index-data > pre,\n",
-       ".xr-var-data > table > tbody > tr {\n",
-       "  background-color: transparent !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
-       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
-       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
-       "  color: var(--xr-font-color0);\n",
-       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
-       "  stroke-width: 0.8px;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 9kB\n",
-       "Dimensions:    (time: 3, bnds: 2, lat: 18, lon: 36)\n",
-       "Coordinates:\n",
-       "  * time       (time) float64 24B 15.0 45.0 75.0\n",
-       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
-       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
-       "Dimensions without coordinates: bnds\n",
-       "Data variables:\n",
-       "    time_bnds  (time, bnds) float64 48B 0.0 30.0 30.0 60.0 60.0 90.0\n",
-       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
-       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
-       "    tos        (time, lat, lon) float32 8kB -8.316 -8.361 ... -8.761 -8.716\n",
-       "Attributes: (12/40)\n",
-       "    Conventions:           CF-1.12\n",
-       "    activity_id:           CMIP\n",
-       "    area_label:            sea\n",
-       "    branded_variable:      tos_tavg-u-hxy-sea\n",
-       "    branding_suffix:       tavg-u-hxy-sea\n",
-       "    creation_date:         2026-05-29T22:05:16Z\n",
-       "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/e07dc433-5443-4331-bfbb-c4889d7b09de\n",
-       "    variable_id:           tos\n",
-       "    variant_label:         r9i1p1f3\n",
-       "    vertical_label:        u\n",
-       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d7098c69-1349-4b97-b8b4-c6f48afd2c28' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-d7098c69-1349-4b97-b8b4-c6f48afd2c28' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 3</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div></li><li class='xr-section-item'><input id='section-fb329363-3631-4081-ac47-38bdeb8776ae' class='xr-section-summary-in' type='checkbox' checked /><label for='section-fb329363-3631-4081-ac47-38bdeb8776ae' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0 75.0</div><input id='attrs-bc62a4d2-3a06-40b3-b0ea-c3158ec58223' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc62a4d2-3a06-40b3-b0ea-c3158ec58223' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32abfca9-f501-45bb-94d6-8283d672ee1a' class='xr-var-data-in' type='checkbox'><label for='data-32abfca9-f501-45bb-94d6-8283d672ee1a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45., 75.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-093e8267-7f66-4dee-9f7c-0a87e8ea28f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-093e8267-7f66-4dee-9f7c-0a87e8ea28f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79aaa949-c3c4-4e3b-a82f-1ad8f14750b7' class='xr-var-data-in' type='checkbox'><label for='data-79aaa949-c3c4-4e3b-a82f-1ad8f14750b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
-       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-72294639-8c1c-4d79-8dfb-57ef40612916' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72294639-8c1c-4d79-8dfb-57ef40612916' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8b653f2-28ce-4051-90b1-8773c4f4b254' class='xr-var-data-in' type='checkbox'><label for='data-b8b653f2-28ce-4051-90b1-8773c4f4b254' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
-       "       125., 135., 145., 155., 165., 175., 185., 195., 205., 215., 225., 235.,\n",
-       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ebed79d5-0af0-43ef-a904-7ef6ae7d9c4d' class='xr-section-summary-in' type='checkbox' checked /><label for='section-ebed79d5-0af0-43ef-a904-7ef6ae7d9c4d' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0 60.0 90.0</div><input id='attrs-948c6576-088c-4bc3-93ea-a6805c9f3f9a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-948c6576-088c-4bc3-93ea-a6805c9f3f9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00235404-4015-484e-8bba-fd526c1e6908' class='xr-var-data-in' type='checkbox'><label for='data-00235404-4015-484e-8bba-fd526c1e6908' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
-       "       [30., 60.],\n",
-       "       [60., 90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-a484470d-59a6-4647-b48c-17d111a83522' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a484470d-59a6-4647-b48c-17d111a83522' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2fe8ee3b-91b6-4580-a444-59220e25d076' class='xr-var-data-in' type='checkbox'><label for='data-2fe8ee3b-91b6-4580-a444-59220e25d076' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
-       "       [-80., -70.],\n",
-       "       [-70., -60.],\n",
-       "       [-60., -50.],\n",
-       "       [-50., -40.],\n",
-       "       [-40., -30.],\n",
-       "       [-30., -20.],\n",
-       "       [-20., -10.],\n",
-       "       [-10.,   0.],\n",
-       "       [  0.,  10.],\n",
-       "       [ 10.,  20.],\n",
-       "       [ 20.,  30.],\n",
-       "       [ 30.,  40.],\n",
-       "       [ 40.,  50.],\n",
-       "       [ 50.,  60.],\n",
-       "       [ 60.,  70.],\n",
-       "       [ 70.,  80.],\n",
-       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-6e7c97e1-3b88-4486-a28b-ca1cc35875fb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6e7c97e1-3b88-4486-a28b-ca1cc35875fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dff17b22-f319-4a3c-9052-15296d2f2227' class='xr-var-data-in' type='checkbox'><label for='data-dff17b22-f319-4a3c-9052-15296d2f2227' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
-       "       [ 10.,  20.],\n",
-       "       [ 20.,  30.],\n",
-       "       [ 30.,  40.],\n",
-       "       [ 40.,  50.],\n",
-       "       [ 50.,  60.],\n",
-       "       [ 60.,  70.],\n",
-       "       [ 70.,  80.],\n",
-       "       [ 80.,  90.],\n",
-       "       [ 90., 100.],\n",
-       "       [100., 110.],\n",
-       "       [110., 120.],\n",
-       "       [120., 130.],\n",
-       "       [130., 140.],\n",
-       "       [140., 150.],\n",
-       "       [150., 160.],\n",
-       "       [160., 170.],\n",
-       "       [170., 180.],\n",
-       "       [180., 190.],\n",
-       "       [190., 200.],\n",
-       "       [200., 210.],\n",
-       "       [210., 220.],\n",
-       "       [220., 230.],\n",
-       "       [230., 240.],\n",
-       "       [240., 250.],\n",
-       "       [250., 260.],\n",
-       "       [260., 270.],\n",
-       "       [270., 280.],\n",
-       "       [280., 290.],\n",
-       "       [290., 300.],\n",
-       "       [300., 310.],\n",
-       "       [310., 320.],\n",
-       "       [320., 330.],\n",
-       "       [330., 340.],\n",
-       "       [340., 350.],\n",
-       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-8.316 -8.361 ... -8.761 -8.716</div><input id='attrs-0142fee1-0912-4a8a-84d1-383b448cd93e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0142fee1-0912-4a8a-84d1-383b448cd93e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17db56ed-83d8-44f0-876c-5c8fdf206d54' class='xr-var-data-in' type='checkbox'><label for='data-17db56ed-83d8-44f0-876c-5c8fdf206d54' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd></dl></div><div class='xr-var-data'><pre>array([[[-8.3158045, -8.361208 , -8.450635 , ..., -8.450635 ,\n",
-       "         -8.361208 , -8.3158045],\n",
-       "        [-6.8310256, -6.8764286, -6.965856 , ..., -6.965856 ,\n",
-       "         -6.8764286, -6.8310256],\n",
-       "        [-4.040553 , -4.0859566, -4.1753836, ..., -4.1753836,\n",
-       "         -4.0859566, -4.040553 ],\n",
-       "        ...,\n",
-       "        [-4.040553 , -4.0859566, -4.1753836, ..., -4.1753836,\n",
-       "         -4.0859566, -4.040553 ],\n",
-       "        [-6.8310256, -6.8764286, -6.965856 , ..., -6.965856 ,\n",
-       "         -6.8764286, -6.8310256],\n",
-       "        [-8.3158045, -8.361208 , -8.450635 , ..., -8.450635 ,\n",
-       "         -8.361208 , -8.3158045]],\n",
-       "\n",
-       "       [[-7.515805 , -7.5612082, -7.6506352, ..., -7.6506352,\n",
-       "         -7.5612082, -7.515805 ],\n",
-       "        [-6.0310254, -6.076429 , -6.165856 , ..., -6.165856 ,\n",
-       "         -6.076429 , -6.0310254],\n",
-       "        [-3.2405531, -3.2859564, -3.3753834, ..., -3.3753834,\n",
-       "         -3.2859564, -3.2405531],\n",
-       "...\n",
-       "        [-3.2405531, -3.2859564, -3.3753834, ..., -3.3753834,\n",
-       "         -3.2859564, -3.2405531],\n",
-       "        [-6.0310254, -6.076429 , -6.165856 , ..., -6.165856 ,\n",
-       "         -6.076429 , -6.0310254],\n",
-       "        [-7.515805 , -7.5612082, -7.6506352, ..., -7.6506352,\n",
-       "         -7.5612082, -7.515805 ]],\n",
-       "\n",
-       "       [[-8.715805 , -8.761209 , -8.850636 , ..., -8.850636 ,\n",
-       "         -8.761209 , -8.715805 ],\n",
-       "        [-7.2310257, -7.2764287, -7.3658557, ..., -7.3658557,\n",
-       "         -7.2764287, -7.2310257],\n",
-       "        [-4.440553 , -4.485956 , -4.5753837, ..., -4.5753837,\n",
-       "         -4.485956 , -4.440553 ],\n",
-       "        ...,\n",
-       "        [-4.440553 , -4.485956 , -4.5753837, ..., -4.5753837,\n",
-       "         -4.485956 , -4.440553 ],\n",
-       "        [-7.2310257, -7.2764287, -7.3658557, ..., -7.3658557,\n",
-       "         -7.2764287, -7.2310257],\n",
-       "        [-8.715805 , -8.761209 , -8.850636 , ..., -8.850636 ,\n",
-       "         -8.761209 , -8.715805 ]]], shape=(3, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7724cfd3-eb0e-4298-9c29-219a4a395081' class='xr-section-summary-in' type='checkbox' /><label for='section-7724cfd3-eb0e-4298-9c29-219a4a395081' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>tos_tavg-u-hxy-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-sea</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T22:05:16Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacello</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T22:05:16Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/e07dc433-5443-4331-bfbb-c4889d7b09de</dd><dt><span>variable_id :</span></dt><dd>tos</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset> Size: 9kB\n",
-       "Dimensions:    (time: 3, bnds: 2, lat: 18, lon: 36)\n",
-       "Coordinates:\n",
-       "  * time       (time) float64 24B 15.0 45.0 75.0\n",
-       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
-       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
-       "Dimensions without coordinates: bnds\n",
-       "Data variables:\n",
-       "    time_bnds  (time, bnds) float64 48B 0.0 30.0 30.0 60.0 60.0 90.0\n",
-       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
-       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
-       "    tos        (time, lat, lon) float32 8kB -8.316 -8.361 ... -8.761 -8.716\n",
-       "Attributes: (12/40)\n",
-       "    Conventions:           CF-1.12\n",
-       "    activity_id:           CMIP\n",
-       "    area_label:            sea\n",
-       "    branded_variable:      tos_tavg-u-hxy-sea\n",
-       "    branding_suffix:       tavg-u-hxy-sea\n",
-       "    creation_date:         2026-05-29T22:05:16Z\n",
-       "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/e07dc433-5443-4331-bfbb-c4889d7b09de\n",
-       "    variable_id:           tos\n",
-       "    variant_label:         r9i1p1f3\n",
-       "    vertical_label:        u\n",
-       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<xarray.Dataset> Size: 9kB\n",
+      "Dimensions:    (time: 3, bnds: 2, lat: 18, lon: 36)\n",
+      "Coordinates:\n",
+      "  * time       (time) float64 24B 15.0 45.0 75.0\n",
+      "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
+      "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
+      "Dimensions without coordinates: bnds\n",
+      "Data variables:\n",
+      "    time_bnds  (time, bnds) float64 48B 0.0 30.0 30.0 60.0 60.0 90.0\n",
+      "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
+      "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
+      "    tos        (time, lat, lon) float32 8kB -8.316 -8.361 ... -8.761 -8.716\n",
+      "Attributes:\n",
+      "    Conventions:           CF-1.12\n",
+      "    activity_id:           CMIP\n",
+      "    area_label:            sea\n",
+      "    branded_variable:      tos_tavg-u-hxy-sea\n",
+      "    branding_suffix:       tavg-u-hxy-sea\n",
+      "    creation_date:         2026-05-29T22:37:08Z\n",
+      "    data_specs_version:    MIP-DS7.1.0.0\n",
+      "    description:           Simulation of the climate of the recent past with ...\n",
+      "    drs_specs:             MIP-DRS7\n",
+      "    experiment:            Simulation of the climate of the recent past with ...\n",
+      "    experiment_id:         amip\n",
+      "    external_variables:    areacello\n",
+      "    forcing_index:         f3\n",
+      "    frequency:             mon\n",
+      "    grid_label:            g999\n",
+      "    history:               2026-05-29T22:37:08Z ; CMOR rewrote data to be con...\n",
+      "    horizontal_label:      hxy\n",
+      "    host_collection:       CMIP7\n",
+      "    initialization_index:  i1\n",
+      "    institution:           Environment and Climate Change Canada\n",
+      "    institution_id:        CCCma\n",
+      "    license_id:            CC-BY-4.0\n",
+      "    mip_era:               CMIP7\n",
+      "    nominal_resolution:    100 km\n",
+      "    physics_index:         p1\n",
+      "    product:               model-output\n",
+      "    realization_index:     r9\n",
+      "    realm:                 ocean\n",
+      "    region:                glb\n",
+      "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
+      "    source_id:             DUMMY-MODEL\n",
+      "    table_info:            Name: CMIP7_ocean.json; Creation Date:(2026-04-21 ...\n",
+      "    temporal_label:        tavg\n",
+      "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
+      "    tracking_id:           hdl:21.14107/1f46997a-411f-420c-8c79-aa8c2490d05e\n",
+      "    variable_id:           tos\n",
+      "    variant_label:         r9i1p1f3\n",
+      "    vertical_label:        u\n",
+      "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+      "    cmor_version:          3.15.1\n"
+     ]
     }
    ],
    "source": [
     "with xr.open_dataset(netcdf_path, decode_times=False) as opened:\n",
     "    ds = opened.load()\n",
-    "ds\n"
+    "\n",
+    "with xr.set_options(display_expand_attrs=True, display_max_rows=80):\n",
+    "    print(ds)\n"
    ]
   },
   {
@@ -913,10 +272,10 @@
    "id": "1a291a66",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:05:16.513939Z",
-     "iopub.status.busy": "2026-05-29T22:05:16.513851Z",
-     "iopub.status.idle": "2026-05-29T22:05:16.648380Z",
-     "shell.execute_reply": "2026-05-29T22:05:16.647886Z"
+     "iopub.execute_input": "2026-05-29T22:37:08.468486Z",
+     "iopub.status.busy": "2026-05-29T22:37:08.468322Z",
+     "iopub.status.idle": "2026-05-29T22:37:08.603767Z",
+     "shell.execute_reply": "2026-05-29T22:37:08.603362Z"
     }
    },
    "outputs": [
diff --git a/notebooks/02_atmos_surface_air_temperature.ipynb b/notebooks/02_atmos_surface_air_temperature.ipynb
index c2320de0..2c14b167 100644
--- a/notebooks/02_atmos_surface_air_temperature.ipynb
+++ b/notebooks/02_atmos_surface_air_temperature.ipynb
@@ -16,10 +16,10 @@
    "id": "d1d1af98",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:05:17.531079Z",
-     "iopub.status.busy": "2026-05-29T22:05:17.530943Z",
-     "iopub.status.idle": "2026-05-29T22:05:18.029262Z",
-     "shell.execute_reply": "2026-05-29T22:05:18.028811Z"
+     "iopub.execute_input": "2026-05-29T22:37:09.474211Z",
+     "iopub.status.busy": "2026-05-29T22:37:09.474133Z",
+     "iopub.status.idle": "2026-05-29T22:37:09.958796Z",
+     "shell.execute_reply": "2026-05-29T22:37:09.958455Z"
     }
    },
    "outputs": [
@@ -58,10 +58,10 @@
    "id": "284b84c2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:05:18.030725Z",
-     "iopub.status.busy": "2026-05-29T22:05:18.030586Z",
-     "iopub.status.idle": "2026-05-29T22:05:18.039008Z",
-     "shell.execute_reply": "2026-05-29T22:05:18.038691Z"
+     "iopub.execute_input": "2026-05-29T22:37:09.960165Z",
+     "iopub.status.busy": "2026-05-29T22:37:09.960053Z",
+     "iopub.status.idle": "2026-05-29T22:37:09.967996Z",
+     "shell.execute_reply": "2026-05-29T22:37:09.967537Z"
     }
    },
    "outputs": [
@@ -133,10 +133,10 @@
    "id": "d2ded412",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:05:18.040689Z",
-     "iopub.status.busy": "2026-05-29T22:05:18.040572Z",
-     "iopub.status.idle": "2026-05-29T22:05:18.114620Z",
-     "shell.execute_reply": "2026-05-29T22:05:18.114184Z"
+     "iopub.execute_input": "2026-05-29T22:37:09.969293Z",
+     "iopub.status.busy": "2026-05-29T22:37:09.969205Z",
+     "iopub.status.idle": "2026-05-29T22:37:10.042259Z",
+     "shell.execute_reply": "2026-05-29T22:37:10.041787Z"
     }
    },
    "outputs": [
@@ -192,722 +192,87 @@
    "id": "5bf2f00d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:05:18.115693Z",
-     "iopub.status.busy": "2026-05-29T22:05:18.115609Z",
-     "iopub.status.idle": "2026-05-29T22:05:18.233828Z",
-     "shell.execute_reply": "2026-05-29T22:05:18.233316Z"
+     "iopub.execute_input": "2026-05-29T22:37:10.043431Z",
+     "iopub.status.busy": "2026-05-29T22:37:10.043362Z",
+     "iopub.status.idle": "2026-05-29T22:37:10.161793Z",
+     "shell.execute_reply": "2026-05-29T22:37:10.161211Z"
     }
    },
    "outputs": [
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-       "  display: grid;\n",
-       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
-       "  margin-block-start: 0;\n",
-       "  margin-block-end: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item > input,\n",
-       ".xr-group-box-contents > input,\n",
-       ".xr-array-wrap > input {\n",
-       "  display: block;\n",
-       "  opacity: 0;\n",
-       "  height: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item > input + label,\n",
-       ".xr-var-item > input + label {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item > input:enabled + label,\n",
-       ".xr-var-item > input:enabled + label,\n",
-       ".xr-array-wrap > input:enabled + label,\n",
-       ".xr-group-box-contents > input:enabled + label {\n",
-       "  cursor: pointer;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item > input:focus-visible + label,\n",
-       ".xr-var-item > input:focus-visible + label,\n",
-       ".xr-array-wrap > input:focus-visible + label,\n",
-       ".xr-group-box-contents > input:focus-visible + label {\n",
-       "  outline: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item > input:enabled + label:hover,\n",
-       ".xr-var-item > input:enabled + label:hover,\n",
-       ".xr-array-wrap > input:enabled + label:hover,\n",
-       ".xr-group-box-contents > input:enabled + label:hover {\n",
-       "  color: var(--xr-font-color0);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary {\n",
-       "  grid-column: 1;\n",
-       "  color: var(--xr-font-color2);\n",
-       "  font-weight: 500;\n",
-       "  white-space: nowrap;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary > em {\n",
-       "  font-weight: normal;\n",
-       "}\n",
-       "\n",
-       ".xr-span-grid {\n",
-       "  grid-column-end: -1;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary > span {\n",
-       "  display: inline-block;\n",
-       "  padding-left: 0.3em;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input:checked + label > span {\n",
-       "  display: inline-block;\n",
-       "  padding-left: 0.6em;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in + label:before {\n",
-       "  display: inline-block;\n",
-       "  content: \"►\";\n",
-       "  font-size: 11px;\n",
-       "  width: 15px;\n",
-       "  text-align: center;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label:before {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label:before {\n",
-       "  content: \"▼\";\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label > span {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary,\n",
-       ".xr-section-inline-details,\n",
-       ".xr-group-box-contents > label {\n",
-       "  padding-top: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-inline-details {\n",
-       "  grid-column: 2 / -1;\n",
-       "}\n",
-       "\n",
-       ".xr-section-details {\n",
-       "  grid-column: 1 / -1;\n",
-       "  margin-top: 4px;\n",
-       "  margin-bottom: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in ~ .xr-section-details {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-children {\n",
-       "  display: inline-grid;\n",
-       "  grid-template-columns: 100%;\n",
-       "  grid-column: 1 / -1;\n",
-       "  padding-top: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box {\n",
-       "  display: inline-grid;\n",
-       "  grid-template-columns: 0px 30px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-vline {\n",
-       "  grid-column-start: 1;\n",
-       "  border-right: 0.2em solid;\n",
-       "  border-color: var(--xr-border-color);\n",
-       "  width: 0px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-hline {\n",
-       "  grid-column-start: 2;\n",
-       "  grid-row-start: 1;\n",
-       "  height: 1em;\n",
-       "  width: 26px;\n",
-       "  border-bottom: 0.2em solid;\n",
-       "  border-color: var(--xr-border-color);\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents {\n",
-       "  grid-column-start: 3;\n",
-       "  padding-bottom: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > label::before {\n",
-       "  content: \"📂\";\n",
-       "  padding-right: 0.3em;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input:checked + label::before {\n",
-       "  content: \"📁\";\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input:checked + label {\n",
-       "  padding-bottom: 0px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input + label > span {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-ellipsis {\n",
-       "  font-size: 1.4em;\n",
-       "  font-weight: 900;\n",
-       "  color: var(--xr-font-color2);\n",
-       "  letter-spacing: 0.15em;\n",
-       "  cursor: default;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap {\n",
-       "  grid-column: 1 / -1;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 20px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap > label {\n",
-       "  grid-column: 1;\n",
-       "  vertical-align: top;\n",
-       "}\n",
-       "\n",
-       ".xr-preview {\n",
-       "  color: var(--xr-font-color3);\n",
-       "}\n",
-       "\n",
-       ".xr-array-preview,\n",
-       ".xr-array-data {\n",
-       "  padding: 0 5px !important;\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-array-data,\n",
-       ".xr-array-in:checked ~ .xr-array-preview {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-array-in:checked ~ .xr-array-data,\n",
-       ".xr-array-preview {\n",
-       "  display: inline-block;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list {\n",
-       "  display: inline-block !important;\n",
-       "  list-style: none;\n",
-       "  padding: 0 !important;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li {\n",
-       "  display: inline-block;\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:before {\n",
-       "  content: \"(\";\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:after {\n",
-       "  content: \")\";\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: \",\";\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-has-index {\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list,\n",
-       ".xr-var-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > div,\n",
-       ".xr-var-item label,\n",
-       ".xr-var-item > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-even);\n",
-       "  border-color: var(--xr-background-color-row-odd);\n",
-       "  margin-bottom: 0;\n",
-       "  padding-top: 2px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list > li:nth-child(odd) > div,\n",
-       ".xr-var-list > li:nth-child(odd) > label,\n",
-       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-odd);\n",
-       "  border-color: var(--xr-background-color-row-even);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name {\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dims {\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  border-top: 2px dotted var(--xr-background-color);\n",
-       "  padding-bottom: 20px !important;\n",
-       "  padding-top: 10px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in + label,\n",
-       ".xr-var-data-in + label,\n",
-       ".xr-index-data-in + label {\n",
-       "  padding: 0 1px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > pre,\n",
-       ".xr-index-data > pre,\n",
-       ".xr-var-data > table > tbody > tr {\n",
-       "  background-color: transparent !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
-       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
-       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
-       "  color: var(--xr-font-color0);\n",
-       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
-       "  stroke-width: 0.8px;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 9kB\n",
-       "Dimensions:    (time: 3, bnds: 2, lat: 18, lon: 36)\n",
-       "Coordinates:\n",
-       "  * time       (time) float64 24B 15.0 45.0 75.0\n",
-       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
-       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
-       "    height     float64 8B 2.0\n",
-       "Dimensions without coordinates: bnds\n",
-       "Data variables:\n",
-       "    time_bnds  (time, bnds) float64 48B 0.0 30.0 30.0 60.0 60.0 90.0\n",
-       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
-       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
-       "    tas        (time, lat, lon) float32 8kB 240.3 240.3 240.2 ... 248.3 248.3\n",
-       "Attributes: (12/40)\n",
-       "    Conventions:           CF-1.12\n",
-       "    activity_id:           CMIP\n",
-       "    area_label:            u\n",
-       "    branded_variable:      tas_tavg-h2m-hxy-u\n",
-       "    branding_suffix:       tavg-h2m-hxy-u\n",
-       "    creation_date:         2026-05-29T22:05:18Z\n",
-       "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/14d7900a-e918-4b68-8dbf-f5f235e56d00\n",
-       "    variable_id:           tas\n",
-       "    variant_label:         r9i1p1f3\n",
-       "    vertical_label:        h2m\n",
-       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-813ebcc3-bf95-47ed-a5a9-ef1dad448b25' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-813ebcc3-bf95-47ed-a5a9-ef1dad448b25' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 3</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div></li><li class='xr-section-item'><input id='section-5da04d0d-120f-4d86-acfd-192d817d0585' class='xr-section-summary-in' type='checkbox' checked /><label for='section-5da04d0d-120f-4d86-acfd-192d817d0585' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0 75.0</div><input id='attrs-0575d5cd-77bb-4039-8838-c08308bdf293' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0575d5cd-77bb-4039-8838-c08308bdf293' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f58d3542-96de-4efb-bca7-99b7b4e0f6ff' class='xr-var-data-in' type='checkbox'><label for='data-f58d3542-96de-4efb-bca7-99b7b4e0f6ff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45., 75.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-8f10766c-4c33-405a-b997-fee9c164dfb5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f10766c-4c33-405a-b997-fee9c164dfb5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-93773d90-bc6b-4460-a559-e5d682d178ee' class='xr-var-data-in' type='checkbox'><label for='data-93773d90-bc6b-4460-a559-e5d682d178ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
-       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-e533e988-9295-4956-adee-608913bf384c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e533e988-9295-4956-adee-608913bf384c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f565049-9751-4243-ab26-56ebfc71a5eb' class='xr-var-data-in' type='checkbox'><label for='data-9f565049-9751-4243-ab26-56ebfc71a5eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
-       "       125., 135., 145., 155., 165., 175., 185., 195., 205., 215., 225., 235.,\n",
-       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-b4b00228-eea2-4331-b87e-de60315ca6ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4b00228-eea2-4331-b87e-de60315ca6ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-515d0f35-7571-43d6-8346-cd568c68fac3' class='xr-var-data-in' type='checkbox'><label for='data-515d0f35-7571-43d6-8346-cd568c68fac3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ab8c65e0-b9b5-4f7e-9ebc-a4bec50c142d' class='xr-section-summary-in' type='checkbox' checked /><label for='section-ab8c65e0-b9b5-4f7e-9ebc-a4bec50c142d' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0 60.0 90.0</div><input id='attrs-ada93b3c-597b-41fa-b33f-e13499c5a174' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ada93b3c-597b-41fa-b33f-e13499c5a174' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6febf5a2-d442-4e99-b604-975511cfe776' class='xr-var-data-in' type='checkbox'><label for='data-6febf5a2-d442-4e99-b604-975511cfe776' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
-       "       [30., 60.],\n",
-       "       [60., 90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-7d13525c-5af7-4aec-b433-251548c7a3c7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7d13525c-5af7-4aec-b433-251548c7a3c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42690fa7-f904-4804-bea6-8dc9092650fc' class='xr-var-data-in' type='checkbox'><label for='data-42690fa7-f904-4804-bea6-8dc9092650fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
-       "       [-80., -70.],\n",
-       "       [-70., -60.],\n",
-       "       [-60., -50.],\n",
-       "       [-50., -40.],\n",
-       "       [-40., -30.],\n",
-       "       [-30., -20.],\n",
-       "       [-20., -10.],\n",
-       "       [-10.,   0.],\n",
-       "       [  0.,  10.],\n",
-       "       [ 10.,  20.],\n",
-       "       [ 20.,  30.],\n",
-       "       [ 30.,  40.],\n",
-       "       [ 40.,  50.],\n",
-       "       [ 50.,  60.],\n",
-       "       [ 60.,  70.],\n",
-       "       [ 70.,  80.],\n",
-       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-4d8d9c7e-9ba2-4c59-9a13-13e9bd8979d0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4d8d9c7e-9ba2-4c59-9a13-13e9bd8979d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f201b2d7-24c1-49ef-9a4d-265bf04ccc8d' class='xr-var-data-in' type='checkbox'><label for='data-f201b2d7-24c1-49ef-9a4d-265bf04ccc8d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
-       "       [ 10.,  20.],\n",
-       "       [ 20.,  30.],\n",
-       "       [ 30.,  40.],\n",
-       "       [ 40.,  50.],\n",
-       "       [ 50.,  60.],\n",
-       "       [ 60.,  70.],\n",
-       "       [ 70.,  80.],\n",
-       "       [ 80.,  90.],\n",
-       "       [ 90., 100.],\n",
-       "       [100., 110.],\n",
-       "       [110., 120.],\n",
-       "       [120., 130.],\n",
-       "       [130., 140.],\n",
-       "       [140., 150.],\n",
-       "       [150., 160.],\n",
-       "       [160., 170.],\n",
-       "       [170., 180.],\n",
-       "       [180., 190.],\n",
-       "       [190., 200.],\n",
-       "       [200., 210.],\n",
-       "       [210., 220.],\n",
-       "       [220., 230.],\n",
-       "       [230., 240.],\n",
-       "       [240., 250.],\n",
-       "       [250., 260.],\n",
-       "       [260., 270.],\n",
-       "       [270., 280.],\n",
-       "       [280., 290.],\n",
-       "       [290., 300.],\n",
-       "       [300., 310.],\n",
-       "       [310., 320.],\n",
-       "       [320., 330.],\n",
-       "       [330., 340.],\n",
-       "       [340., 350.],\n",
-       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>240.3 240.3 240.2 ... 248.3 248.3</div><input id='attrs-93c028ea-7d36-4f8e-9ed0-402a629b3f71' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93c028ea-7d36-4f8e-9ed0-402a629b3f71' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19ed5d48-df9d-47df-8887-59c2b4ffe2fb' class='xr-var-data-in' type='checkbox'><label for='data-19ed5d48-df9d-47df-8887-59c2b4ffe2fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>history :</span></dt><dd>2026-05-29T22:05:18Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;.</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[240.33421, 240.27368, 240.15443, ..., 240.15443, 240.27368,\n",
-       "         240.33421],\n",
-       "        [243.00682, 242.94627, 242.82704, ..., 242.82704, 242.94627,\n",
-       "         243.00682],\n",
-       "        [248.02966, 247.96913, 247.8499 , ..., 247.8499 , 247.96913,\n",
-       "         248.02966],\n",
-       "        ...,\n",
-       "        [248.02966, 247.96913, 247.8499 , ..., 247.8499 , 247.96913,\n",
-       "         248.02966],\n",
-       "        [243.00682, 242.94627, 242.82704, ..., 242.82704, 242.94627,\n",
-       "         243.00682],\n",
-       "        [240.33421, 240.27368, 240.15443, ..., 240.15443, 240.27368,\n",
-       "         240.33421]],\n",
-       "\n",
-       "       [[244.33421, 244.27368, 244.15443, ..., 244.15443, 244.27368,\n",
-       "         244.33421],\n",
-       "        [247.00682, 246.94627, 246.82704, ..., 246.82704, 246.94627,\n",
-       "         247.00682],\n",
-       "        [252.02966, 251.96913, 251.8499 , ..., 251.8499 , 251.96913,\n",
-       "         252.02966],\n",
-       "...\n",
-       "        [252.02966, 251.96913, 251.8499 , ..., 251.8499 , 251.96913,\n",
-       "         252.02966],\n",
-       "        [247.00682, 246.94627, 246.82704, ..., 246.82704, 246.94627,\n",
-       "         247.00682],\n",
-       "        [244.33421, 244.27368, 244.15443, ..., 244.15443, 244.27368,\n",
-       "         244.33421]],\n",
-       "\n",
-       "       [[248.33421, 248.27368, 248.15443, ..., 248.15443, 248.27368,\n",
-       "         248.33421],\n",
-       "        [251.00682, 250.94627, 250.82704, ..., 250.82704, 250.94627,\n",
-       "         251.00682],\n",
-       "        [256.02966, 255.96913, 255.8499 , ..., 255.8499 , 255.96913,\n",
-       "         256.02966],\n",
-       "        ...,\n",
-       "        [256.02966, 255.96913, 255.8499 , ..., 255.8499 , 255.96913,\n",
-       "         256.02966],\n",
-       "        [251.00682, 250.94627, 250.82704, ..., 250.82704, 250.94627,\n",
-       "         251.00682],\n",
-       "        [248.33421, 248.27368, 248.15443, ..., 248.15443, 248.27368,\n",
-       "         248.33421]]], shape=(3, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-170e29df-7ae6-441c-a0e5-2b998169efd6' class='xr-section-summary-in' type='checkbox' /><label for='section-170e29df-7ae6-441c-a0e5-2b998169efd6' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>tas_tavg-h2m-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-h2m-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T22:05:18Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T22:05:18Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/14d7900a-e918-4b68-8dbf-f5f235e56d00</dd><dt><span>variable_id :</span></dt><dd>tas</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>h2m</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset> Size: 9kB\n",
-       "Dimensions:    (time: 3, bnds: 2, lat: 18, lon: 36)\n",
-       "Coordinates:\n",
-       "  * time       (time) float64 24B 15.0 45.0 75.0\n",
-       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
-       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
-       "    height     float64 8B 2.0\n",
-       "Dimensions without coordinates: bnds\n",
-       "Data variables:\n",
-       "    time_bnds  (time, bnds) float64 48B 0.0 30.0 30.0 60.0 60.0 90.0\n",
-       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
-       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
-       "    tas        (time, lat, lon) float32 8kB 240.3 240.3 240.2 ... 248.3 248.3\n",
-       "Attributes: (12/40)\n",
-       "    Conventions:           CF-1.12\n",
-       "    activity_id:           CMIP\n",
-       "    area_label:            u\n",
-       "    branded_variable:      tas_tavg-h2m-hxy-u\n",
-       "    branding_suffix:       tavg-h2m-hxy-u\n",
-       "    creation_date:         2026-05-29T22:05:18Z\n",
-       "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/14d7900a-e918-4b68-8dbf-f5f235e56d00\n",
-       "    variable_id:           tas\n",
-       "    variant_label:         r9i1p1f3\n",
-       "    vertical_label:        h2m\n",
-       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<xarray.Dataset> Size: 9kB\n",
+      "Dimensions:    (time: 3, bnds: 2, lat: 18, lon: 36)\n",
+      "Coordinates:\n",
+      "  * time       (time) float64 24B 15.0 45.0 75.0\n",
+      "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
+      "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
+      "    height     float64 8B 2.0\n",
+      "Dimensions without coordinates: bnds\n",
+      "Data variables:\n",
+      "    time_bnds  (time, bnds) float64 48B 0.0 30.0 30.0 60.0 60.0 90.0\n",
+      "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
+      "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
+      "    tas        (time, lat, lon) float32 8kB 240.3 240.3 240.2 ... 248.3 248.3\n",
+      "Attributes:\n",
+      "    Conventions:           CF-1.12\n",
+      "    activity_id:           CMIP\n",
+      "    area_label:            u\n",
+      "    branded_variable:      tas_tavg-h2m-hxy-u\n",
+      "    branding_suffix:       tavg-h2m-hxy-u\n",
+      "    creation_date:         2026-05-29T22:37:10Z\n",
+      "    data_specs_version:    MIP-DS7.1.0.0\n",
+      "    description:           Simulation of the climate of the recent past with ...\n",
+      "    drs_specs:             MIP-DRS7\n",
+      "    experiment:            Simulation of the climate of the recent past with ...\n",
+      "    experiment_id:         amip\n",
+      "    external_variables:    areacella\n",
+      "    forcing_index:         f3\n",
+      "    frequency:             mon\n",
+      "    grid_label:            g999\n",
+      "    history:               2026-05-29T22:37:10Z ; CMOR rewrote data to be con...\n",
+      "    horizontal_label:      hxy\n",
+      "    host_collection:       CMIP7\n",
+      "    initialization_index:  i1\n",
+      "    institution:           Environment and Climate Change Canada\n",
+      "    institution_id:        CCCma\n",
+      "    license_id:            CC-BY-4.0\n",
+      "    mip_era:               CMIP7\n",
+      "    nominal_resolution:    100 km\n",
+      "    physics_index:         p1\n",
+      "    product:               model-output\n",
+      "    realization_index:     r9\n",
+      "    realm:                 atmos\n",
+      "    region:                glb\n",
+      "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
+      "    source_id:             DUMMY-MODEL\n",
+      "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
+      "    temporal_label:        tavg\n",
+      "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
+      "    tracking_id:           hdl:21.14107/6edd36c3-6288-41d1-b457-474379520d7e\n",
+      "    variable_id:           tas\n",
+      "    variant_label:         r9i1p1f3\n",
+      "    vertical_label:        h2m\n",
+      "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+      "    cmor_version:          3.15.1"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
     }
    ],
    "source": [
     "with xr.open_dataset(netcdf_path, decode_times=False) as opened:\n",
     "    ds = opened.load()\n",
-    "ds\n"
+    "\n",
+    "with xr.set_options(display_expand_attrs=True, display_max_rows=80):\n",
+    "    print(ds)\n"
    ]
   },
   {
@@ -916,10 +281,10 @@
    "id": "1daca239",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:05:18.234997Z",
-     "iopub.status.busy": "2026-05-29T22:05:18.234923Z",
-     "iopub.status.idle": "2026-05-29T22:05:18.370049Z",
-     "shell.execute_reply": "2026-05-29T22:05:18.369607Z"
+     "iopub.execute_input": "2026-05-29T22:37:10.163618Z",
+     "iopub.status.busy": "2026-05-29T22:37:10.163505Z",
+     "iopub.status.idle": "2026-05-29T22:37:10.293539Z",
+     "shell.execute_reply": "2026-05-29T22:37:10.293193Z"
     }
    },
    "outputs": [
diff --git a/notebooks/03_pressure_level_air_temperature.ipynb b/notebooks/03_pressure_level_air_temperature.ipynb
index 6213334e..3ce68e1e 100644
--- a/notebooks/03_pressure_level_air_temperature.ipynb
+++ b/notebooks/03_pressure_level_air_temperature.ipynb
@@ -16,10 +16,10 @@
    "id": "4c424c5c",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:05:19.270467Z",
-     "iopub.status.busy": "2026-05-29T22:05:19.270395Z",
-     "iopub.status.idle": "2026-05-29T22:05:19.743470Z",
-     "shell.execute_reply": "2026-05-29T22:05:19.743014Z"
+     "iopub.execute_input": "2026-05-29T22:37:11.166660Z",
+     "iopub.status.busy": "2026-05-29T22:37:11.166509Z",
+     "iopub.status.idle": "2026-05-29T22:37:11.666955Z",
+     "shell.execute_reply": "2026-05-29T22:37:11.666457Z"
     }
    },
    "outputs": [
@@ -58,10 +58,10 @@
    "id": "1324ba6e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:05:19.744691Z",
-     "iopub.status.busy": "2026-05-29T22:05:19.744581Z",
-     "iopub.status.idle": "2026-05-29T22:05:19.752374Z",
-     "shell.execute_reply": "2026-05-29T22:05:19.751988Z"
+     "iopub.execute_input": "2026-05-29T22:37:11.668394Z",
+     "iopub.status.busy": "2026-05-29T22:37:11.668213Z",
+     "iopub.status.idle": "2026-05-29T22:37:11.676831Z",
+     "shell.execute_reply": "2026-05-29T22:37:11.676409Z"
     }
    },
    "outputs": [
@@ -158,10 +158,10 @@
    "id": "c59fb308",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:05:19.753684Z",
-     "iopub.status.busy": "2026-05-29T22:05:19.753602Z",
-     "iopub.status.idle": "2026-05-29T22:05:19.826380Z",
-     "shell.execute_reply": "2026-05-29T22:05:19.825933Z"
+     "iopub.execute_input": "2026-05-29T22:37:11.678179Z",
+     "iopub.status.busy": "2026-05-29T22:37:11.678093Z",
+     "iopub.status.idle": "2026-05-29T22:37:11.750231Z",
+     "shell.execute_reply": "2026-05-29T22:37:11.749832Z"
     }
    },
    "outputs": [
@@ -217,723 +217,80 @@
    "id": "09d6a9fe",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:05:19.827532Z",
-     "iopub.status.busy": "2026-05-29T22:05:19.827434Z",
-     "iopub.status.idle": "2026-05-29T22:05:19.945157Z",
-     "shell.execute_reply": "2026-05-29T22:05:19.944805Z"
+     "iopub.execute_input": "2026-05-29T22:37:11.751310Z",
+     "iopub.status.busy": "2026-05-29T22:37:11.751236Z",
+     "iopub.status.idle": "2026-05-29T22:37:11.859784Z",
+     "shell.execute_reply": "2026-05-29T22:37:11.859353Z"
     }
    },
    "outputs": [
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-       ".xr-group-box-contents > label::before {\n",
-       "  content: \"📂\";\n",
-       "  padding-right: 0.3em;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input:checked + label::before {\n",
-       "  content: \"📁\";\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input:checked + label {\n",
-       "  padding-bottom: 0px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input + label > span {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-ellipsis {\n",
-       "  font-size: 1.4em;\n",
-       "  font-weight: 900;\n",
-       "  color: var(--xr-font-color2);\n",
-       "  letter-spacing: 0.15em;\n",
-       "  cursor: default;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap {\n",
-       "  grid-column: 1 / -1;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 20px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap > label {\n",
-       "  grid-column: 1;\n",
-       "  vertical-align: top;\n",
-       "}\n",
-       "\n",
-       ".xr-preview {\n",
-       "  color: var(--xr-font-color3);\n",
-       "}\n",
-       "\n",
-       ".xr-array-preview,\n",
-       ".xr-array-data {\n",
-       "  padding: 0 5px !important;\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-array-data,\n",
-       ".xr-array-in:checked ~ .xr-array-preview {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-array-in:checked ~ .xr-array-data,\n",
-       ".xr-array-preview {\n",
-       "  display: inline-block;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list {\n",
-       "  display: inline-block !important;\n",
-       "  list-style: none;\n",
-       "  padding: 0 !important;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li {\n",
-       "  display: inline-block;\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:before {\n",
-       "  content: \"(\";\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:after {\n",
-       "  content: \")\";\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: \",\";\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-has-index {\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list,\n",
-       ".xr-var-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > div,\n",
-       ".xr-var-item label,\n",
-       ".xr-var-item > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-even);\n",
-       "  border-color: var(--xr-background-color-row-odd);\n",
-       "  margin-bottom: 0;\n",
-       "  padding-top: 2px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list > li:nth-child(odd) > div,\n",
-       ".xr-var-list > li:nth-child(odd) > label,\n",
-       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-odd);\n",
-       "  border-color: var(--xr-background-color-row-even);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name {\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dims {\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  border-top: 2px dotted var(--xr-background-color);\n",
-       "  padding-bottom: 20px !important;\n",
-       "  padding-top: 10px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in + label,\n",
-       ".xr-var-data-in + label,\n",
-       ".xr-index-data-in + label {\n",
-       "  padding: 0 1px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > pre,\n",
-       ".xr-index-data > pre,\n",
-       ".xr-var-data > table > tbody > tr {\n",
-       "  background-color: transparent !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
-       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
-       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
-       "  color: var(--xr-font-color0);\n",
-       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
-       "  stroke-width: 0.8px;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 100kB\n",
-       "Dimensions:    (time: 2, bnds: 2, lat: 18, lon: 36, plev: 19)\n",
-       "Coordinates:\n",
-       "  * time       (time) float64 16B 15.0 45.0\n",
-       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
-       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
-       "  * plev       (plev) float64 152B 1e+05 9.25e+04 8.5e+04 ... 1e+03 500.0 100.0\n",
-       "Dimensions without coordinates: bnds\n",
-       "Data variables:\n",
-       "    time_bnds  (time, bnds) float64 32B 0.0 30.0 30.0 60.0\n",
-       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
-       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
-       "    ta         (time, plev, lat, lon) float32 98kB 251.3 251.2 ... 31.38 31.41\n",
-       "Attributes: (12/40)\n",
-       "    Conventions:           CF-1.12\n",
-       "    activity_id:           CMIP\n",
-       "    area_label:            air\n",
-       "    branded_variable:      ta_tavg-p19-hxy-air\n",
-       "    branding_suffix:       tavg-p19-hxy-air\n",
-       "    creation_date:         2026-05-29T22:05:19Z\n",
-       "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/873e19ad-42a8-494b-9c21-9e5c498d96cb\n",
-       "    variable_id:           ta\n",
-       "    variant_label:         r9i1p1f3\n",
-       "    vertical_label:        p19\n",
-       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f60afb03-61c7-4e6b-a0e2-e158c2054a10' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-f60afb03-61c7-4e6b-a0e2-e158c2054a10' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li><li><span class='xr-has-index'>plev</span>: 19</li></ul></div></li><li class='xr-section-item'><input id='section-0e9c2c24-6c7c-4ad7-9979-e00404fe9716' class='xr-section-summary-in' type='checkbox' checked /><label for='section-0e9c2c24-6c7c-4ad7-9979-e00404fe9716' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0</div><input id='attrs-1d8e82a1-4c31-4093-bb6d-13fe4c8feb40' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d8e82a1-4c31-4093-bb6d-13fe4c8feb40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7a16289-2016-423e-a5d5-d78a605fe50d' class='xr-var-data-in' type='checkbox'><label for='data-b7a16289-2016-423e-a5d5-d78a605fe50d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-a314046e-1f97-41c1-8275-5559b5c1b136' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a314046e-1f97-41c1-8275-5559b5c1b136' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45b7a240-1997-41fd-9372-bfb0de07f5a9' class='xr-var-data-in' type='checkbox'><label for='data-45b7a240-1997-41fd-9372-bfb0de07f5a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
-       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-e58b130b-ec80-4b9d-a99e-043ca165ddab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e58b130b-ec80-4b9d-a99e-043ca165ddab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fafb0b1d-462e-4fa4-b450-881b7a73689b' class='xr-var-data-in' type='checkbox'><label for='data-fafb0b1d-462e-4fa4-b450-881b7a73689b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
-       "       125., 135., 145., 155., 165., 175., 185., 195., 205., 215., 225., 235.,\n",
-       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>plev</span></div><div class='xr-var-dims'>(plev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05 9.25e+04 ... 500.0 100.0</div><input id='attrs-9b656c18-8196-496f-9ab6-93edfde995a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b656c18-8196-496f-9ab6-93edfde995a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7bcfd7f-87da-4315-a4a3-e1bce0939cd4' class='xr-var-data-in' type='checkbox'><label for='data-c7bcfd7f-87da-4315-a4a3-e1bce0939cd4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>Pressure Levels (19)</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd></dl></div><div class='xr-var-data'><pre>array([100000.,  92500.,  85000.,  70000.,  60000.,  50000.,  40000.,  30000.,\n",
-       "        25000.,  20000.,  15000.,  10000.,   7000.,   5000.,   3000.,   2000.,\n",
-       "         1000.,    500.,    100.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4f8c465f-3d27-486e-984c-7be4151b10b5' class='xr-section-summary-in' type='checkbox' checked /><label for='section-4f8c465f-3d27-486e-984c-7be4151b10b5' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0</div><input id='attrs-3444ae93-e513-41e7-bb0e-f13292c39aae' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3444ae93-e513-41e7-bb0e-f13292c39aae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-785a630f-ae3e-45ae-af06-a455ae23bb16' class='xr-var-data-in' type='checkbox'><label for='data-785a630f-ae3e-45ae-af06-a455ae23bb16' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
-       "       [30., 60.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-6b548d72-c0f4-4165-a06f-23502de7c359' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6b548d72-c0f4-4165-a06f-23502de7c359' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d847a4e9-29a8-4883-bb61-e5c708ea1b5c' class='xr-var-data-in' type='checkbox'><label for='data-d847a4e9-29a8-4883-bb61-e5c708ea1b5c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
-       "       [-80., -70.],\n",
-       "       [-70., -60.],\n",
-       "       [-60., -50.],\n",
-       "       [-50., -40.],\n",
-       "       [-40., -30.],\n",
-       "       [-30., -20.],\n",
-       "       [-20., -10.],\n",
-       "       [-10.,   0.],\n",
-       "       [  0.,  10.],\n",
-       "       [ 10.,  20.],\n",
-       "       [ 20.,  30.],\n",
-       "       [ 30.,  40.],\n",
-       "       [ 40.,  50.],\n",
-       "       [ 50.,  60.],\n",
-       "       [ 60.,  70.],\n",
-       "       [ 70.,  80.],\n",
-       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-58539b62-be37-4eeb-8cd0-fa79def637ec' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-58539b62-be37-4eeb-8cd0-fa79def637ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0abe2ce4-24a4-4f5b-8d16-e87fcb96114c' class='xr-var-data-in' type='checkbox'><label for='data-0abe2ce4-24a4-4f5b-8d16-e87fcb96114c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
-       "       [ 10.,  20.],\n",
-       "       [ 20.,  30.],\n",
-       "       [ 30.,  40.],\n",
-       "       [ 40.,  50.],\n",
-       "       [ 50.,  60.],\n",
-       "       [ 60.,  70.],\n",
-       "       [ 70.,  80.],\n",
-       "       [ 80.,  90.],\n",
-       "       [ 90., 100.],\n",
-       "       [100., 110.],\n",
-       "       [110., 120.],\n",
-       "       [120., 130.],\n",
-       "       [130., 140.],\n",
-       "       [140., 150.],\n",
-       "       [150., 160.],\n",
-       "       [160., 170.],\n",
-       "       [170., 180.],\n",
-       "       [180., 190.],\n",
-       "       [190., 200.],\n",
-       "       [200., 210.],\n",
-       "       [210., 220.],\n",
-       "       [220., 230.],\n",
-       "       [230., 240.],\n",
-       "       [240., 250.],\n",
-       "       [250., 260.],\n",
-       "       [260., 270.],\n",
-       "       [270., 280.],\n",
-       "       [280., 290.],\n",
-       "       [290., 300.],\n",
-       "       [300., 310.],\n",
-       "       [310., 320.],\n",
-       "       [320., 330.],\n",
-       "       [330., 340.],\n",
-       "       [340., 350.],\n",
-       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, plev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>251.3 251.2 251.2 ... 31.38 31.41</div><input id='attrs-19ae2fe0-a8f7-47c2-af17-74cf7ab6e011' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-19ae2fe0-a8f7-47c2-af17-74cf7ab6e011' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d756a963-04e1-404b-a1ad-d4a6ded51451' class='xr-var-data-in' type='checkbox'><label for='data-d756a963-04e1-404b-a1ad-d4a6ded51451' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean where air</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[251.26205 , 251.2318  , 251.17216 , ..., 251.17216 ,\n",
-       "          251.2318  , 251.26205 ],\n",
-       "         [253.34074 , 253.31049 , 253.25087 , ..., 253.25087 ,\n",
-       "          253.31049 , 253.34074 ],\n",
-       "         [257.2474  , 257.21713 , 257.15753 , ..., 257.15753 ,\n",
-       "          257.21713 , 257.2474  ],\n",
-       "         ...,\n",
-       "         [257.2474  , 257.21713 , 257.15753 , ..., 257.15753 ,\n",
-       "          257.21713 , 257.2474  ],\n",
-       "         [253.34074 , 253.31049 , 253.25087 , ..., 253.25087 ,\n",
-       "          253.31049 , 253.34074 ],\n",
-       "         [251.26205 , 251.2318  , 251.17216 , ..., 251.17216 ,\n",
-       "          251.2318  , 251.26205 ]],\n",
-       "\n",
-       "        [[248.76729 , 248.73701 , 248.6774  , ..., 248.6774  ,\n",
-       "          248.73701 , 248.76729 ],\n",
-       "         [250.84598 , 250.8157  , 250.75609 , ..., 250.75609 ,\n",
-       "          250.8157  , 250.84598 ],\n",
-       "         [254.75264 , 254.72237 , 254.66275 , ..., 254.66275 ,\n",
-       "          254.72237 , 254.75264 ],\n",
-       "...\n",
-       "         [ 88.90125 ,  88.87099 ,  88.81137 , ...,  88.81137 ,\n",
-       "           88.87099 ,  88.90125 ],\n",
-       "         [ 84.99459 ,  84.964325,  84.90471 , ...,  84.90471 ,\n",
-       "           84.964325,  84.99459 ],\n",
-       "         [ 82.9159  ,  82.885635,  82.82602 , ...,  82.82602 ,\n",
-       "           82.885635,  82.9159  ]],\n",
-       "\n",
-       "        [[ 31.41389 ,  31.383621,  31.324003, ...,  31.324003,\n",
-       "           31.383621,  31.41389 ],\n",
-       "         [ 33.49258 ,  33.46231 ,  33.402695, ...,  33.402695,\n",
-       "           33.46231 ,  33.49258 ],\n",
-       "         [ 37.399242,  37.368973,  37.309357, ...,  37.309357,\n",
-       "           37.368973,  37.399242],\n",
-       "         ...,\n",
-       "         [ 37.399242,  37.368973,  37.309357, ...,  37.309357,\n",
-       "           37.368973,  37.399242],\n",
-       "         [ 33.49258 ,  33.46231 ,  33.402695, ...,  33.402695,\n",
-       "           33.46231 ,  33.49258 ],\n",
-       "         [ 31.41389 ,  31.383621,  31.324003, ...,  31.324003,\n",
-       "           31.383621,  31.41389 ]]]], shape=(2, 19, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dd80a5fd-a195-4323-ad29-7d8fa657e619' class='xr-section-summary-in' type='checkbox' /><label for='section-dd80a5fd-a195-4323-ad29-7d8fa657e619' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>air</dd><dt><span>branded_variable :</span></dt><dd>ta_tavg-p19-hxy-air</dd><dt><span>branding_suffix :</span></dt><dd>tavg-p19-hxy-air</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T22:05:19Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T22:05:19Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/873e19ad-42a8-494b-9c21-9e5c498d96cb</dd><dt><span>variable_id :</span></dt><dd>ta</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>p19</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset> Size: 100kB\n",
-       "Dimensions:    (time: 2, bnds: 2, lat: 18, lon: 36, plev: 19)\n",
-       "Coordinates:\n",
-       "  * time       (time) float64 16B 15.0 45.0\n",
-       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
-       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
-       "  * plev       (plev) float64 152B 1e+05 9.25e+04 8.5e+04 ... 1e+03 500.0 100.0\n",
-       "Dimensions without coordinates: bnds\n",
-       "Data variables:\n",
-       "    time_bnds  (time, bnds) float64 32B 0.0 30.0 30.0 60.0\n",
-       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
-       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
-       "    ta         (time, plev, lat, lon) float32 98kB 251.3 251.2 ... 31.38 31.41\n",
-       "Attributes: (12/40)\n",
-       "    Conventions:           CF-1.12\n",
-       "    activity_id:           CMIP\n",
-       "    area_label:            air\n",
-       "    branded_variable:      ta_tavg-p19-hxy-air\n",
-       "    branding_suffix:       tavg-p19-hxy-air\n",
-       "    creation_date:         2026-05-29T22:05:19Z\n",
-       "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/873e19ad-42a8-494b-9c21-9e5c498d96cb\n",
-       "    variable_id:           ta\n",
-       "    variant_label:         r9i1p1f3\n",
-       "    vertical_label:        p19\n",
-       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<xarray.Dataset> Size: 100kB\n",
+      "Dimensions:    (time: 2, bnds: 2, lat: 18, lon: 36, plev: 19)\n",
+      "Coordinates:\n",
+      "  * time       (time) float64 16B 15.0 45.0\n",
+      "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
+      "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
+      "  * plev       (plev) float64 152B 1e+05 9.25e+04 8.5e+04 ... 1e+03 500.0 100.0\n",
+      "Dimensions without coordinates: bnds\n",
+      "Data variables:\n",
+      "    time_bnds  (time, bnds) float64 32B 0.0 30.0 30.0 60.0\n",
+      "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
+      "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
+      "    ta         (time, plev, lat, lon) float32 98kB 251.3 251.2 ... 31.38 31.41\n",
+      "Attributes:\n",
+      "    Conventions:           CF-1.12\n",
+      "    activity_id:           CMIP\n",
+      "    area_label:            air\n",
+      "    branded_variable:      ta_tavg-p19-hxy-air\n",
+      "    branding_suffix:       tavg-p19-hxy-air\n",
+      "    creation_date:         2026-05-29T22:37:11Z\n",
+      "    data_specs_version:    MIP-DS7.1.0.0\n",
+      "    description:           Simulation of the climate of the recent past with ...\n",
+      "    drs_specs:             MIP-DRS7\n",
+      "    experiment:            Simulation of the climate of the recent past with ...\n",
+      "    experiment_id:         amip\n",
+      "    external_variables:    areacella\n",
+      "    forcing_index:         f3\n",
+      "    frequency:             mon\n",
+      "    grid_label:            g999\n",
+      "    history:               2026-05-29T22:37:11Z ; CMOR rewrote data to be con...\n",
+      "    horizontal_label:      hxy\n",
+      "    host_collection:       CMIP7\n",
+      "    initialization_index:  i1\n",
+      "    institution:           Environment and Climate Change Canada\n",
+      "    institution_id:        CCCma\n",
+      "    license_id:            CC-BY-4.0\n",
+      "    mip_era:               CMIP7\n",
+      "    nominal_resolution:    100 km\n",
+      "    physics_index:         p1\n",
+      "    product:               model-output\n",
+      "    realization_index:     r9\n",
+      "    realm:                 atmos\n",
+      "    region:                glb\n",
+      "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
+      "    source_id:             DUMMY-MODEL\n",
+      "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
+      "    temporal_label:        tavg\n",
+      "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
+      "    tracking_id:           hdl:21.14107/2cf8e1dc-fff8-4efd-8b20-7d844310fab5\n",
+      "    variable_id:           ta\n",
+      "    variant_label:         r9i1p1f3\n",
+      "    vertical_label:        p19\n",
+      "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+      "    cmor_version:          3.15.1\n"
+     ]
     }
    ],
    "source": [
     "with xr.open_dataset(netcdf_path, decode_times=False) as opened:\n",
     "    ds = opened.load()\n",
-    "ds\n"
+    "\n",
+    "with xr.set_options(display_expand_attrs=True, display_max_rows=80):\n",
+    "    print(ds)\n"
    ]
   },
   {
@@ -942,10 +299,10 @@
    "id": "917090d2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:05:19.946366Z",
-     "iopub.status.busy": "2026-05-29T22:05:19.946294Z",
-     "iopub.status.idle": "2026-05-29T22:05:20.076964Z",
-     "shell.execute_reply": "2026-05-29T22:05:20.076589Z"
+     "iopub.execute_input": "2026-05-29T22:37:11.860962Z",
+     "iopub.status.busy": "2026-05-29T22:37:11.860883Z",
+     "iopub.status.idle": "2026-05-29T22:37:11.995989Z",
+     "shell.execute_reply": "2026-05-29T22:37:11.995596Z"
     }
    },
    "outputs": [
diff --git a/notebooks/04_hybrid_sigma_zfactors.ipynb b/notebooks/04_hybrid_sigma_zfactors.ipynb
index fb2d5df8..b49b6f05 100644
--- a/notebooks/04_hybrid_sigma_zfactors.ipynb
+++ b/notebooks/04_hybrid_sigma_zfactors.ipynb
@@ -16,10 +16,10 @@
    "id": "e502e550",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:05:20.975763Z",
-     "iopub.status.busy": "2026-05-29T22:05:20.975588Z",
-     "iopub.status.idle": "2026-05-29T22:05:21.495556Z",
-     "shell.execute_reply": "2026-05-29T22:05:21.495118Z"
+     "iopub.execute_input": "2026-05-29T22:37:12.868013Z",
+     "iopub.status.busy": "2026-05-29T22:37:12.867867Z",
+     "iopub.status.idle": "2026-05-29T22:37:13.340766Z",
+     "shell.execute_reply": "2026-05-29T22:37:13.340295Z"
     }
    },
    "outputs": [
@@ -58,10 +58,10 @@
    "id": "795d90b2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:05:21.497510Z",
-     "iopub.status.busy": "2026-05-29T22:05:21.497334Z",
-     "iopub.status.idle": "2026-05-29T22:05:21.506791Z",
-     "shell.execute_reply": "2026-05-29T22:05:21.506302Z"
+     "iopub.execute_input": "2026-05-29T22:37:13.341994Z",
+     "iopub.status.busy": "2026-05-29T22:37:13.341872Z",
+     "iopub.status.idle": "2026-05-29T22:37:13.350226Z",
+     "shell.execute_reply": "2026-05-29T22:37:13.349812Z"
     }
    },
    "outputs": [
@@ -149,10 +149,10 @@
    "id": "08d92b3e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:05:21.508252Z",
-     "iopub.status.busy": "2026-05-29T22:05:21.508133Z",
-     "iopub.status.idle": "2026-05-29T22:05:21.589773Z",
-     "shell.execute_reply": "2026-05-29T22:05:21.589332Z"
+     "iopub.execute_input": "2026-05-29T22:37:13.351521Z",
+     "iopub.status.busy": "2026-05-29T22:37:13.351447Z",
+     "iopub.status.idle": "2026-05-29T22:37:13.427697Z",
+     "shell.execute_reply": "2026-05-29T22:37:13.427250Z"
     }
    },
    "outputs": [
@@ -214,773 +214,87 @@
    "id": "85b00c73",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:05:21.590936Z",
-     "iopub.status.busy": "2026-05-29T22:05:21.590862Z",
-     "iopub.status.idle": "2026-05-29T22:05:21.715782Z",
-     "shell.execute_reply": "2026-05-29T22:05:21.715291Z"
+     "iopub.execute_input": "2026-05-29T22:37:13.428917Z",
+     "iopub.status.busy": "2026-05-29T22:37:13.428836Z",
+     "iopub.status.idle": "2026-05-29T22:37:13.545773Z",
+     "shell.execute_reply": "2026-05-29T22:37:13.545450Z"
     }
    },
    "outputs": [
     {
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-       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
-       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "</symbol>\n",
-       "</defs>\n",
-       "</svg>\n",
-       "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
-       "\n",
-       ":root {\n",
-       "  --xr-font-color0: var(\n",
-       "    --jp-content-font-color0,\n",
-       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
-       "  );\n",
-       "  --xr-font-color2: var(\n",
-       "    --jp-content-font-color2,\n",
-       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
-       "  );\n",
-       "  --xr-font-color3: var(\n",
-       "    --jp-content-font-color3,\n",
-       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
-       "  );\n",
-       "  --xr-border-color: var(\n",
-       "    --jp-border-color2,\n",
-       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
-       "  );\n",
-       "  --xr-disabled-color: var(\n",
-       "    --jp-layout-color3,\n",
-       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
-       "  );\n",
-       "  --xr-background-color: var(\n",
-       "    --jp-layout-color0,\n",
-       "    var(--pst-color-on-background, white)\n",
-       "  );\n",
-       "  --xr-background-color-row-even: var(\n",
-       "    --jp-layout-color1,\n",
-       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
-       "  );\n",
-       "  --xr-background-color-row-odd: var(\n",
-       "    --jp-layout-color2,\n",
-       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
-       "  );\n",
-       "}\n",
-       "\n",
-       "html[theme=\"dark\"],\n",
-       "html[data-theme=\"dark\"],\n",
-       "body[data-theme=\"dark\"],\n",
-       "body.vscode-dark {\n",
-       "  --xr-font-color0: var(\n",
-       "    --jp-content-font-color0,\n",
-       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
-       "  );\n",
-       "  --xr-font-color2: var(\n",
-       "    --jp-content-font-color2,\n",
-       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
-       "  );\n",
-       "  --xr-font-color3: var(\n",
-       "    --jp-content-font-color3,\n",
-       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
-       "  );\n",
-       "  --xr-border-color: var(\n",
-       "    --jp-border-color2,\n",
-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
-       "  );\n",
-       "  --xr-disabled-color: var(\n",
-       "    --jp-layout-color3,\n",
-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
-       "  );\n",
-       "  --xr-background-color: var(\n",
-       "    --jp-layout-color0,\n",
-       "    var(--pst-color-on-background, #111111)\n",
-       "  );\n",
-       "  --xr-background-color-row-even: var(\n",
-       "    --jp-layout-color1,\n",
-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
-       "  );\n",
-       "  --xr-background-color-row-odd: var(\n",
-       "    --jp-layout-color2,\n",
-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
-       "  );\n",
-       "}\n",
-       "\n",
-       ".xr-wrap {\n",
-       "  display: block !important;\n",
-       "  min-width: 300px;\n",
-       "  max-width: 700px;\n",
-       "  line-height: 1.6;\n",
-       "  padding-bottom: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-text-repr-fallback {\n",
-       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-header {\n",
-       "  padding-top: 6px;\n",
-       "  padding-bottom: 6px;\n",
-       "}\n",
-       "\n",
-       ".xr-header {\n",
-       "  border-bottom: solid 1px var(--xr-border-color);\n",
-       "  margin-bottom: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-header > div,\n",
-       ".xr-header > ul {\n",
-       "  display: inline;\n",
-       "  margin-top: 0;\n",
-       "  margin-bottom: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-obj-type,\n",
-       ".xr-obj-name {\n",
-       "  margin-left: 2px;\n",
-       "  margin-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-obj-type,\n",
-       ".xr-group-box-contents > label {\n",
-       "  color: var(--xr-font-color2);\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-sections {\n",
-       "  padding-left: 0 !important;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
-       "  margin-block-start: 0;\n",
-       "  margin-block-end: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item > input,\n",
-       ".xr-group-box-contents > input,\n",
-       ".xr-array-wrap > input {\n",
-       "  display: block;\n",
-       "  opacity: 0;\n",
-       "  height: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item > input + label,\n",
-       ".xr-var-item > input + label {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item > input:enabled + label,\n",
-       ".xr-var-item > input:enabled + label,\n",
-       ".xr-array-wrap > input:enabled + label,\n",
-       ".xr-group-box-contents > input:enabled + label {\n",
-       "  cursor: pointer;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item > input:focus-visible + label,\n",
-       ".xr-var-item > input:focus-visible + label,\n",
-       ".xr-array-wrap > input:focus-visible + label,\n",
-       ".xr-group-box-contents > input:focus-visible + label {\n",
-       "  outline: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item > input:enabled + label:hover,\n",
-       ".xr-var-item > input:enabled + label:hover,\n",
-       ".xr-array-wrap > input:enabled + label:hover,\n",
-       ".xr-group-box-contents > input:enabled + label:hover {\n",
-       "  color: var(--xr-font-color0);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary {\n",
-       "  grid-column: 1;\n",
-       "  color: var(--xr-font-color2);\n",
-       "  font-weight: 500;\n",
-       "  white-space: nowrap;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary > em {\n",
-       "  font-weight: normal;\n",
-       "}\n",
-       "\n",
-       ".xr-span-grid {\n",
-       "  grid-column-end: -1;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary > span {\n",
-       "  display: inline-block;\n",
-       "  padding-left: 0.3em;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input:checked + label > span {\n",
-       "  display: inline-block;\n",
-       "  padding-left: 0.6em;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in + label:before {\n",
-       "  display: inline-block;\n",
-       "  content: \"►\";\n",
-       "  font-size: 11px;\n",
-       "  width: 15px;\n",
-       "  text-align: center;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label:before {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label:before {\n",
-       "  content: \"▼\";\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label > span {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary,\n",
-       ".xr-section-inline-details,\n",
-       ".xr-group-box-contents > label {\n",
-       "  padding-top: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-inline-details {\n",
-       "  grid-column: 2 / -1;\n",
-       "}\n",
-       "\n",
-       ".xr-section-details {\n",
-       "  grid-column: 1 / -1;\n",
-       "  margin-top: 4px;\n",
-       "  margin-bottom: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in ~ .xr-section-details {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-children {\n",
-       "  display: inline-grid;\n",
-       "  grid-template-columns: 100%;\n",
-       "  grid-column: 1 / -1;\n",
-       "  padding-top: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box {\n",
-       "  display: inline-grid;\n",
-       "  grid-template-columns: 0px 30px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-vline {\n",
-       "  grid-column-start: 1;\n",
-       "  border-right: 0.2em solid;\n",
-       "  border-color: var(--xr-border-color);\n",
-       "  width: 0px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-hline {\n",
-       "  grid-column-start: 2;\n",
-       "  grid-row-start: 1;\n",
-       "  height: 1em;\n",
-       "  width: 26px;\n",
-       "  border-bottom: 0.2em solid;\n",
-       "  border-color: var(--xr-border-color);\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents {\n",
-       "  grid-column-start: 3;\n",
-       "  padding-bottom: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > label::before {\n",
-       "  content: \"📂\";\n",
-       "  padding-right: 0.3em;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input:checked + label::before {\n",
-       "  content: \"📁\";\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input:checked + label {\n",
-       "  padding-bottom: 0px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input + label > span {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-ellipsis {\n",
-       "  font-size: 1.4em;\n",
-       "  font-weight: 900;\n",
-       "  color: var(--xr-font-color2);\n",
-       "  letter-spacing: 0.15em;\n",
-       "  cursor: default;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap {\n",
-       "  grid-column: 1 / -1;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 20px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap > label {\n",
-       "  grid-column: 1;\n",
-       "  vertical-align: top;\n",
-       "}\n",
-       "\n",
-       ".xr-preview {\n",
-       "  color: var(--xr-font-color3);\n",
-       "}\n",
-       "\n",
-       ".xr-array-preview,\n",
-       ".xr-array-data {\n",
-       "  padding: 0 5px !important;\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-array-data,\n",
-       ".xr-array-in:checked ~ .xr-array-preview {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-array-in:checked ~ .xr-array-data,\n",
-       ".xr-array-preview {\n",
-       "  display: inline-block;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list {\n",
-       "  display: inline-block !important;\n",
-       "  list-style: none;\n",
-       "  padding: 0 !important;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li {\n",
-       "  display: inline-block;\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:before {\n",
-       "  content: \"(\";\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:after {\n",
-       "  content: \")\";\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: \",\";\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-has-index {\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list,\n",
-       ".xr-var-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > div,\n",
-       ".xr-var-item label,\n",
-       ".xr-var-item > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-even);\n",
-       "  border-color: var(--xr-background-color-row-odd);\n",
-       "  margin-bottom: 0;\n",
-       "  padding-top: 2px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list > li:nth-child(odd) > div,\n",
-       ".xr-var-list > li:nth-child(odd) > label,\n",
-       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-odd);\n",
-       "  border-color: var(--xr-background-color-row-even);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name {\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dims {\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  border-top: 2px dotted var(--xr-background-color);\n",
-       "  padding-bottom: 20px !important;\n",
-       "  padding-top: 10px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in + label,\n",
-       ".xr-var-data-in + label,\n",
-       ".xr-index-data-in + label {\n",
-       "  padding: 0 1px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > pre,\n",
-       ".xr-index-data > pre,\n",
-       ".xr-var-data > table > tbody > tr {\n",
-       "  background-color: transparent !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
-       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
-       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
-       "  color: var(--xr-font-color0);\n",
-       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
-       "  stroke-width: 0.8px;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 33kB\n",
-       "Dimensions:    (time: 2, bnds: 2, lev: 5, lat: 18, lon: 36)\n",
-       "Coordinates:\n",
-       "  * time       (time) float64 16B 15.0 45.0\n",
-       "  * lev        (lev) float64 40B 0.95 0.75 0.5 0.25 0.05\n",
-       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
-       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
-       "Dimensions without coordinates: bnds\n",
-       "Data variables:\n",
-       "    time_bnds  (time, bnds) float64 32B 0.0 30.0 30.0 60.0\n",
-       "    lev_bnds   (lev, bnds) float64 80B 1.0 0.85 0.85 0.625 ... 0.125 0.125 0.0\n",
-       "    p0         float64 8B 1e+05\n",
-       "    a          (lev) float64 40B 0.02 0.05 0.1 0.2 0.35\n",
-       "    b          (lev) float64 40B 0.9 0.7 0.45 0.2 0.03\n",
-       "    ps         (time, lat, lon) float32 5kB 8.639e+04 8.638e+04 ... 8.654e+04\n",
-       "    a_bnds     (lev, bnds) float64 80B 0.0 0.035 0.035 ... 0.275 0.275 0.45\n",
-       "    b_bnds     (lev, bnds) float64 80B 1.0 0.8 0.8 0.575 ... 0.115 0.115 0.0\n",
-       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
-       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
-       "    ta         (time, lev, lat, lon) float32 26kB 258.5 258.4 ... 209.9 210.0\n",
-       "Attributes: (12/40)\n",
-       "    Conventions:           CF-1.12\n",
-       "    activity_id:           CMIP\n",
-       "    area_label:            u\n",
-       "    branded_variable:      ta_tavg-al-hxy-u\n",
-       "    branding_suffix:       tavg-al-hxy-u\n",
-       "    creation_date:         2026-05-29T22:05:21Z\n",
-       "    ...                    ...\n",
-       "    variable_id:           ta\n",
-       "    variant_label:         r9i1p1f3\n",
-       "    vertical_label:        al\n",
-       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1\n",
-       "    tracking_id:           hdl:21.14107/c8ae6c2f-311d-40f4-8bc4-43384a8759ab</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3b1f2627-f774-485f-83a6-5f197ab25dd6' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-3b1f2627-f774-485f-83a6-5f197ab25dd6' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lev</span>: 5</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div></li><li class='xr-section-item'><input id='section-13515041-2270-4847-91ff-fcf2a75db077' class='xr-section-summary-in' type='checkbox' checked /><label for='section-13515041-2270-4847-91ff-fcf2a75db077' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0</div><input id='attrs-48ed6f6b-8f56-4048-b58c-3455c4bfcbde' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-48ed6f6b-8f56-4048-b58c-3455c4bfcbde' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-637c293d-e4b7-4db1-b02b-46c97c17f590' class='xr-var-data-in' type='checkbox'><label for='data-637c293d-e4b7-4db1-b02b-46c97c17f590' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.95 0.75 0.5 0.25 0.05</div><input id='attrs-ebb7afb4-7951-4a81-b4e1-c1b90806cfba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ebb7afb4-7951-4a81-b4e1-c1b90806cfba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f333457-2be7-4e3b-8ed1-11bff70c51ce' class='xr-var-data-in' type='checkbox'><label for='data-8f333457-2be7-4e3b-8ed1-11bff70c51ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lev_bnds</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>hybrid sigma pressure coordinate</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a b: b ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([0.95, 0.75, 0.5 , 0.25, 0.05])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-1d81bde1-f109-46ab-a8e4-b60dd152b34d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d81bde1-f109-46ab-a8e4-b60dd152b34d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-756220e6-8160-4779-945c-f8b83fd6fc14' class='xr-var-data-in' type='checkbox'><label for='data-756220e6-8160-4779-945c-f8b83fd6fc14' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
-       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-df04fe56-3799-4397-b66d-f1ded1443d1a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df04fe56-3799-4397-b66d-f1ded1443d1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96a9afb5-ec57-4c1e-8565-08cf9a38d40b' class='xr-var-data-in' type='checkbox'><label for='data-96a9afb5-ec57-4c1e-8565-08cf9a38d40b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
-       "       125., 135., 145., 155., 165., 175., 185., 195., 205., 215., 225., 235.,\n",
-       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bc5473d8-f488-450b-a06b-3589319d2405' class='xr-section-summary-in' type='checkbox' checked /><label for='section-bc5473d8-f488-450b-a06b-3589319d2405' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0</div><input id='attrs-178c75dc-e191-49af-880f-81cf5c02e31e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-178c75dc-e191-49af-880f-81cf5c02e31e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c01ec580-008d-41e8-853e-c4122e734966' class='xr-var-data-in' type='checkbox'><label for='data-c01ec580-008d-41e8-853e-c4122e734966' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
-       "       [30., 60.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lev_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.85 0.85 ... 0.125 0.125 0.0</div><input id='attrs-730a28c5-9413-42e3-91ae-a0911ae48ccd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-730a28c5-9413-42e3-91ae-a0911ae48ccd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3a4f707-5f09-4e1b-a129-45e1d23eefd4' class='xr-var-data-in' type='checkbox'><label for='data-d3a4f707-5f09-4e1b-a129-45e1d23eefd4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a_bnds b: b_bnds ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([[1.   , 0.85 ],\n",
-       "       [0.85 , 0.625],\n",
-       "       [0.625, 0.375],\n",
-       "       [0.375, 0.125],\n",
-       "       [0.125, 0.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p0</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05</div><input id='attrs-b444842f-c97d-455a-9a87-b12f09fbabe5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b444842f-c97d-455a-9a87-b12f09fbabe5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a977c4db-e11a-4307-805d-c8298ebe86e2' class='xr-var-data-in' type='checkbox'><label for='data-a977c4db-e11a-4307-805d-c8298ebe86e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>reference_air_pressure_for_atmosphere_vertical_coordinate</dd><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: reference pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array(100000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.02 0.05 0.1 0.2 0.35</div><input id='attrs-c8018da1-a273-4b07-85e5-00b5471afd60' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8018da1-a273-4b07-85e5-00b5471afd60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16e713b8-cf9b-4e0f-9705-5e294aea4add' class='xr-var-data-in' type='checkbox'><label for='data-16e713b8-cf9b-4e0f-9705-5e294aea4add' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a</dd></dl></div><div class='xr-var-data'><pre>array([0.02, 0.05, 0.1 , 0.2 , 0.35])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9 0.7 0.45 0.2 0.03</div><input id='attrs-fcd96aa1-1fdb-4733-b4c6-6943cb686c79' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fcd96aa1-1fdb-4733-b4c6-6943cb686c79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f240ee1b-5d58-44e8-955d-cee17fa7d6bc' class='xr-var-data-in' type='checkbox'><label for='data-f240ee1b-5d58-44e8-955d-cee17fa7d6bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b</dd></dl></div><div class='xr-var-data'><pre>array([0.9 , 0.7 , 0.45, 0.2 , 0.03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ps</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>8.639e+04 8.638e+04 ... 8.654e+04</div><input id='attrs-4e5b54a8-6815-4f7a-8301-f320dc9d8eb0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e5b54a8-6815-4f7a-8301-f320dc9d8eb0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eeab087a-c748-46e4-8e70-4f7258bbd14f' class='xr-var-data-in' type='checkbox'><label for='data-eeab087a-c748-46e4-8e70-4f7258bbd14f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>long_name :</span></dt><dd>Surface Air Pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array([[[86390.016, 86380.93 , 86363.05 , ..., 86363.05 , 86380.93 ,\n",
-       "         86390.016],\n",
-       "        [87102.7  , 87093.625, 87075.74 , ..., 87075.74 , 87093.625,\n",
-       "         87102.7  ],\n",
-       "        [88442.13 , 88433.055, 88415.164, ..., 88415.164, 88433.055,\n",
-       "         88442.13 ],\n",
-       "        ...,\n",
-       "        [88442.13 , 88433.055, 88415.164, ..., 88415.164, 88433.055,\n",
-       "         88442.13 ],\n",
-       "        [87102.7  , 87093.625, 87075.74 , ..., 87075.74 , 87093.625,\n",
-       "         87102.7  ],\n",
-       "        [86390.016, 86380.93 , 86363.05 , ..., 86363.05 , 86380.93 ,\n",
-       "         86390.016]],\n",
-       "\n",
-       "       [[86540.016, 86530.93 , 86513.05 , ..., 86513.05 , 86530.93 ,\n",
-       "         86540.016],\n",
-       "        [87252.7  , 87243.625, 87225.74 , ..., 87225.74 , 87243.625,\n",
-       "         87252.7  ],\n",
-       "        [88592.13 , 88583.055, 88565.164, ..., 88565.164, 88583.055,\n",
-       "         88592.13 ],\n",
-       "        ...,\n",
-       "        [88592.13 , 88583.055, 88565.164, ..., 88565.164, 88583.055,\n",
-       "         88592.13 ],\n",
-       "        [87252.7  , 87243.625, 87225.74 , ..., 87225.74 , 87243.625,\n",
-       "         87252.7  ],\n",
-       "        [86540.016, 86530.93 , 86513.05 , ..., 86513.05 , 86530.93 ,\n",
-       "         86540.016]]], shape=(2, 18, 36), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.035 0.035 ... 0.275 0.45</div><input id='attrs-a706784f-23c1-4e59-ac10-6de1892a0b25' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a706784f-23c1-4e59-ac10-6de1892a0b25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b09edc2-f078-4106-b06d-dfd060adb918' class='xr-var-data-in' type='checkbox'><label for='data-4b09edc2-f078-4106-b06d-dfd060adb918' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[0.   , 0.035],\n",
-       "       [0.035, 0.075],\n",
-       "       [0.075, 0.15 ],\n",
-       "       [0.15 , 0.275],\n",
-       "       [0.275, 0.45 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.8 0.8 ... 0.115 0.115 0.0</div><input id='attrs-0a06aacd-7e62-4e7f-9ae6-96b3d94d6737' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a06aacd-7e62-4e7f-9ae6-96b3d94d6737' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4501568e-0bf8-4484-ab78-5b950275d485' class='xr-var-data-in' type='checkbox'><label for='data-4501568e-0bf8-4484-ab78-5b950275d485' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[1.   , 0.8  ],\n",
-       "       [0.8  , 0.575],\n",
-       "       [0.575, 0.325],\n",
-       "       [0.325, 0.115],\n",
-       "       [0.115, 0.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-af61861b-c7f8-40f0-82ad-accd2503ee92' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-af61861b-c7f8-40f0-82ad-accd2503ee92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db59e760-5cee-4a33-aa33-7387610d8255' class='xr-var-data-in' type='checkbox'><label for='data-db59e760-5cee-4a33-aa33-7387610d8255' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
-       "       [-80., -70.],\n",
-       "       [-70., -60.],\n",
-       "       [-60., -50.],\n",
-       "       [-50., -40.],\n",
-       "       [-40., -30.],\n",
-       "       [-30., -20.],\n",
-       "       [-20., -10.],\n",
-       "       [-10.,   0.],\n",
-       "       [  0.,  10.],\n",
-       "       [ 10.,  20.],\n",
-       "       [ 20.,  30.],\n",
-       "       [ 30.,  40.],\n",
-       "       [ 40.,  50.],\n",
-       "       [ 50.,  60.],\n",
-       "       [ 60.,  70.],\n",
-       "       [ 70.,  80.],\n",
-       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-e2bcd4fa-07aa-4eef-ade9-ef9e3328ff52' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e2bcd4fa-07aa-4eef-ade9-ef9e3328ff52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0170c2a-6cf7-47ea-8725-8b31b5f14550' class='xr-var-data-in' type='checkbox'><label for='data-b0170c2a-6cf7-47ea-8725-8b31b5f14550' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
-       "       [ 10.,  20.],\n",
-       "       [ 20.,  30.],\n",
-       "       [ 30.,  40.],\n",
-       "       [ 40.,  50.],\n",
-       "       [ 50.,  60.],\n",
-       "       [ 60.,  70.],\n",
-       "       [ 70.,  80.],\n",
-       "       [ 80.,  90.],\n",
-       "       [ 90., 100.],\n",
-       "       [100., 110.],\n",
-       "       [110., 120.],\n",
-       "       [120., 130.],\n",
-       "       [130., 140.],\n",
-       "       [140., 150.],\n",
-       "       [150., 160.],\n",
-       "       [160., 170.],\n",
-       "       [170., 180.],\n",
-       "       [180., 190.],\n",
-       "       [190., 200.],\n",
-       "       [200., 210.],\n",
-       "       [210., 220.],\n",
-       "       [220., 230.],\n",
-       "       [230., 240.],\n",
-       "       [240., 250.],\n",
-       "       [250., 260.],\n",
-       "       [260., 270.],\n",
-       "       [270., 280.],\n",
-       "       [280., 290.],\n",
-       "       [290., 300.],\n",
-       "       [300., 310.],\n",
-       "       [310., 320.],\n",
-       "       [320., 330.],\n",
-       "       [330., 340.],\n",
-       "       [340., 350.],\n",
-       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>258.5 258.4 258.4 ... 209.9 210.0</div><input id='attrs-11712163-3728-4392-bde0-e274be5c7ddd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11712163-3728-4392-bde0-e274be5c7ddd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81441697-a941-4571-83a6-46fbc061afb6' class='xr-var-data-in' type='checkbox'><label for='data-81441697-a941-4571-83a6-46fbc061afb6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[258.4741 , 258.44382, 258.3842 , ..., 258.3842 , 258.44382,\n",
-       "          258.4741 ],\n",
-       "         [260.25583, 260.22556, 260.16592, ..., 260.16592, 260.22556,\n",
-       "          260.25583],\n",
-       "         [263.60437, 263.5741 , 263.5145 , ..., 263.5145 , 263.5741 ,\n",
-       "          263.60437],\n",
-       "         ...,\n",
-       "         [263.60437, 263.5741 , 263.5145 , ..., 263.5145 , 263.5741 ,\n",
-       "          263.60437],\n",
-       "         [260.25583, 260.22556, 260.16592, ..., 260.16592, 260.22556,\n",
-       "          260.25583],\n",
-       "         [258.4741 , 258.44382, 258.3842 , ..., 258.3842 , 258.44382,\n",
-       "          258.4741 ]],\n",
-       "\n",
-       "        [[247.47408, 247.44382, 247.38419, ..., 247.38419, 247.44382,\n",
-       "          247.47408],\n",
-       "         [249.25581, 249.22554, 249.16592, ..., 249.16592, 249.22554,\n",
-       "          249.25581],\n",
-       "         [252.60439, 252.57411, 252.5145 , ..., 252.5145 , 252.57411,\n",
-       "          252.60439],\n",
-       "...\n",
-       "         [226.10439, 226.07411, 226.0145 , ..., 226.0145 , 226.07411,\n",
-       "          226.10439],\n",
-       "         [222.75581, 222.72554, 222.66592, ..., 222.66592, 222.72554,\n",
-       "          222.75581],\n",
-       "         [220.97408, 220.94382, 220.88419, ..., 220.88419, 220.94382,\n",
-       "          220.97408]],\n",
-       "\n",
-       "        [[209.97408, 209.94382, 209.88419, ..., 209.88419, 209.94382,\n",
-       "          209.97408],\n",
-       "         [211.75581, 211.72554, 211.66592, ..., 211.66592, 211.72554,\n",
-       "          211.75581],\n",
-       "         [215.10439, 215.07411, 215.0145 , ..., 215.0145 , 215.07411,\n",
-       "          215.10439],\n",
-       "         ...,\n",
-       "         [215.10439, 215.07411, 215.0145 , ..., 215.0145 , 215.07411,\n",
-       "          215.10439],\n",
-       "         [211.75581, 211.72554, 211.66592, ..., 211.66592, 211.72554,\n",
-       "          211.75581],\n",
-       "         [209.97408, 209.94382, 209.88419, ..., 209.88419, 209.94382,\n",
-       "          209.97408]]]], shape=(2, 5, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6abea1dd-2893-4abf-8124-ed39182a0f4c' class='xr-section-summary-in' type='checkbox' /><label for='section-6abea1dd-2893-4abf-8124-ed39182a0f4c' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>ta_tavg-al-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-al-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T22:05:21Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T22:05:21Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>variable_id :</span></dt><dd>ta</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>al</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/c8ae6c2f-311d-40f4-8bc4-43384a8759ab</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset> Size: 33kB\n",
-       "Dimensions:    (time: 2, bnds: 2, lev: 5, lat: 18, lon: 36)\n",
-       "Coordinates:\n",
-       "  * time       (time) float64 16B 15.0 45.0\n",
-       "  * lev        (lev) float64 40B 0.95 0.75 0.5 0.25 0.05\n",
-       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
-       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
-       "Dimensions without coordinates: bnds\n",
-       "Data variables:\n",
-       "    time_bnds  (time, bnds) float64 32B 0.0 30.0 30.0 60.0\n",
-       "    lev_bnds   (lev, bnds) float64 80B 1.0 0.85 0.85 0.625 ... 0.125 0.125 0.0\n",
-       "    p0         float64 8B 1e+05\n",
-       "    a          (lev) float64 40B 0.02 0.05 0.1 0.2 0.35\n",
-       "    b          (lev) float64 40B 0.9 0.7 0.45 0.2 0.03\n",
-       "    ps         (time, lat, lon) float32 5kB 8.639e+04 8.638e+04 ... 8.654e+04\n",
-       "    a_bnds     (lev, bnds) float64 80B 0.0 0.035 0.035 ... 0.275 0.275 0.45\n",
-       "    b_bnds     (lev, bnds) float64 80B 1.0 0.8 0.8 0.575 ... 0.115 0.115 0.0\n",
-       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
-       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
-       "    ta         (time, lev, lat, lon) float32 26kB 258.5 258.4 ... 209.9 210.0\n",
-       "Attributes: (12/40)\n",
-       "    Conventions:           CF-1.12\n",
-       "    activity_id:           CMIP\n",
-       "    area_label:            u\n",
-       "    branded_variable:      ta_tavg-al-hxy-u\n",
-       "    branding_suffix:       tavg-al-hxy-u\n",
-       "    creation_date:         2026-05-29T22:05:21Z\n",
-       "    ...                    ...\n",
-       "    variable_id:           ta\n",
-       "    variant_label:         r9i1p1f3\n",
-       "    vertical_label:        al\n",
-       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1\n",
-       "    tracking_id:           hdl:21.14107/c8ae6c2f-311d-40f4-8bc4-43384a8759ab"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<xarray.Dataset> Size: 33kB\n",
+      "Dimensions:    (time: 2, bnds: 2, lev: 5, lat: 18, lon: 36)\n",
+      "Coordinates:\n",
+      "  * time       (time) float64 16B 15.0 45.0\n",
+      "  * lev        (lev) float64 40B 0.95 0.75 0.5 0.25 0.05\n",
+      "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
+      "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
+      "Dimensions without coordinates: bnds\n",
+      "Data variables:\n",
+      "    time_bnds  (time, bnds) float64 32B 0.0 30.0 30.0 60.0\n",
+      "    lev_bnds   (lev, bnds) float64 80B 1.0 0.85 0.85 0.625 ... 0.125 0.125 0.0\n",
+      "    p0         float64 8B 1e+05\n",
+      "    a          (lev) float64 40B 0.02 0.05 0.1 0.2 0.35\n",
+      "    b          (lev) float64 40B 0.9 0.7 0.45 0.2 0.03\n",
+      "    ps         (time, lat, lon) float32 5kB 8.639e+04 8.638e+04 ... 8.654e+04\n",
+      "    a_bnds     (lev, bnds) float64 80B 0.0 0.035 0.035 ... 0.275 0.275 0.45\n",
+      "    b_bnds     (lev, bnds) float64 80B 1.0 0.8 0.8 0.575 ... 0.115 0.115 0.0\n",
+      "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
+      "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
+      "    ta         (time, lev, lat, lon) float32 26kB 258.5 258.4 ... 209.9 210.0\n",
+      "Attributes:\n",
+      "    Conventions:           CF-1.12\n",
+      "    activity_id:           CMIP\n",
+      "    area_label:            u\n",
+      "    branded_variable:      ta_tavg-al-hxy-u\n",
+      "    branding_suffix:       tavg-al-hxy-u\n",
+      "    creation_date:         2026-05-29T22:37:13Z\n",
+      "    data_specs_version:    MIP-DS7.1.0.0\n",
+      "    description:           Simulation of the climate of the recent past with ...\n",
+      "    drs_specs:             MIP-DRS7\n",
+      "    experiment:            Simulation of the climate of the recent past with ...\n",
+      "    experiment_id:         amip\n",
+      "    external_variables:    areacella\n",
+      "    forcing_index:         f3\n",
+      "    frequency:             mon\n",
+      "    grid_label:            g999\n",
+      "    history:               2026-05-29T22:37:13Z ; CMOR rewrote data to be con...\n",
+      "    horizontal_label:      hxy\n",
+      "    host_collection:       CMIP7\n",
+      "    initialization_index:  i1\n",
+      "    institution:           Environment and Climate Change Canada\n",
+      "    institution_id:        CCCma\n",
+      "    license_id:            CC-BY-4.0\n",
+      "    mip_era:               CMIP7\n",
+      "    nominal_resolution:    100 km\n",
+      "    physics_index:         p1\n",
+      "    product:               model-output\n",
+      "    realization_index:     r9\n",
+      "    realm:                 atmos\n",
+      "    region:                glb\n",
+      "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
+      "    source_id:             DUMMY-MODEL\n",
+      "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
+      "    temporal_label:        tavg\n",
+      "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
+      "    variable_id:           ta\n",
+      "    variant_label:         r9i1p1f3\n",
+      "    vertical_label:        al\n",
+      "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+      "    cmor_version:          3.15.1\n",
+      "    tracking_id:           hdl:21.14107/1067be1c-f925-4b15-9bdd-da3def57f2b9\n"
+     ]
     }
    ],
    "source": [
     "with xr.open_dataset(netcdf_path, decode_times=False) as opened:\n",
     "    ds = opened.load()\n",
-    "ds\n"
+    "\n",
+    "with xr.set_options(display_expand_attrs=True, display_max_rows=80):\n",
+    "    print(ds)\n"
    ]
   },
   {
@@ -989,10 +303,10 @@
    "id": "07c200fc",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:05:21.718076Z",
-     "iopub.status.busy": "2026-05-29T22:05:21.717925Z",
-     "iopub.status.idle": "2026-05-29T22:05:21.851799Z",
-     "shell.execute_reply": "2026-05-29T22:05:21.851292Z"
+     "iopub.execute_input": "2026-05-29T22:37:13.547012Z",
+     "iopub.status.busy": "2026-05-29T22:37:13.546932Z",
+     "iopub.status.idle": "2026-05-29T22:37:13.678324Z",
+     "shell.execute_reply": "2026-05-29T22:37:13.677872Z"
     }
    },
    "outputs": [
diff --git a/notebooks/05_curvilinear_ocean_grid.ipynb b/notebooks/05_curvilinear_ocean_grid.ipynb
index 3334efa2..2fb69962 100644
--- a/notebooks/05_curvilinear_ocean_grid.ipynb
+++ b/notebooks/05_curvilinear_ocean_grid.ipynb
@@ -16,10 +16,10 @@
    "id": "b1ff03ee",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:05:22.741003Z",
-     "iopub.status.busy": "2026-05-29T22:05:22.740880Z",
-     "iopub.status.idle": "2026-05-29T22:05:23.251870Z",
-     "shell.execute_reply": "2026-05-29T22:05:23.251374Z"
+     "iopub.execute_input": "2026-05-29T22:37:14.550801Z",
+     "iopub.status.busy": "2026-05-29T22:37:14.550653Z",
+     "iopub.status.idle": "2026-05-29T22:37:15.048524Z",
+     "shell.execute_reply": "2026-05-29T22:37:15.048127Z"
     }
    },
    "outputs": [
@@ -58,10 +58,10 @@
    "id": "88d6766e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:05:23.253616Z",
-     "iopub.status.busy": "2026-05-29T22:05:23.253439Z",
-     "iopub.status.idle": "2026-05-29T22:05:23.274100Z",
-     "shell.execute_reply": "2026-05-29T22:05:23.273664Z"
+     "iopub.execute_input": "2026-05-29T22:37:15.049828Z",
+     "iopub.status.busy": "2026-05-29T22:37:15.049691Z",
+     "iopub.status.idle": "2026-05-29T22:37:15.069146Z",
+     "shell.execute_reply": "2026-05-29T22:37:15.068708Z"
     }
    },
    "outputs": [
@@ -161,10 +161,10 @@
    "id": "ab381eda",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:05:23.275391Z",
-     "iopub.status.busy": "2026-05-29T22:05:23.275310Z",
-     "iopub.status.idle": "2026-05-29T22:05:23.348788Z",
-     "shell.execute_reply": "2026-05-29T22:05:23.348367Z"
+     "iopub.execute_input": "2026-05-29T22:37:15.070360Z",
+     "iopub.status.busy": "2026-05-29T22:37:15.070280Z",
+     "iopub.status.idle": "2026-05-29T22:37:15.146840Z",
+     "shell.execute_reply": "2026-05-29T22:37:15.146460Z"
     }
    },
    "outputs": [
@@ -231,817 +231,81 @@
    "id": "98246667",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:05:23.350290Z",
-     "iopub.status.busy": "2026-05-29T22:05:23.350186Z",
-     "iopub.status.idle": "2026-05-29T22:05:23.469669Z",
-     "shell.execute_reply": "2026-05-29T22:05:23.469209Z"
+     "iopub.execute_input": "2026-05-29T22:37:15.148088Z",
+     "iopub.status.busy": "2026-05-29T22:37:15.148023Z",
+     "iopub.status.idle": "2026-05-29T22:37:15.263913Z",
+     "shell.execute_reply": "2026-05-29T22:37:15.263432Z"
     }
    },
    "outputs": [
     {
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-       "  );\n",
-       "  --xr-background-color-row-even: var(\n",
-       "    --jp-layout-color1,\n",
-       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
-       "  );\n",
-       "  --xr-background-color-row-odd: var(\n",
-       "    --jp-layout-color2,\n",
-       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
-       "  );\n",
-       "}\n",
-       "\n",
-       "html[theme=\"dark\"],\n",
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-       "body[data-theme=\"dark\"],\n",
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-       "  --xr-font-color0: var(\n",
-       "    --jp-content-font-color0,\n",
-       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
-       "  );\n",
-       "  --xr-font-color2: var(\n",
-       "    --jp-content-font-color2,\n",
-       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
-       "  );\n",
-       "  --xr-font-color3: var(\n",
-       "    --jp-content-font-color3,\n",
-       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
-       "  );\n",
-       "  --xr-border-color: var(\n",
-       "    --jp-border-color2,\n",
-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
-       "  );\n",
-       "  --xr-disabled-color: var(\n",
-       "    --jp-layout-color3,\n",
-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
-       "  );\n",
-       "  --xr-background-color: var(\n",
-       "    --jp-layout-color0,\n",
-       "    var(--pst-color-on-background, #111111)\n",
-       "  );\n",
-       "  --xr-background-color-row-even: var(\n",
-       "    --jp-layout-color1,\n",
-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
-       "  );\n",
-       "  --xr-background-color-row-odd: var(\n",
-       "    --jp-layout-color2,\n",
-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
-       "  );\n",
-       "}\n",
-       "\n",
-       ".xr-wrap {\n",
-       "  display: block !important;\n",
-       "  min-width: 300px;\n",
-       "  max-width: 700px;\n",
-       "  line-height: 1.6;\n",
-       "  padding-bottom: 4px;\n",
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-       "\n",
-       ".xr-text-repr-fallback {\n",
-       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
-       "  display: none;\n",
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-       "\n",
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-       "  padding-top: 6px;\n",
-       "  padding-bottom: 6px;\n",
-       "}\n",
-       "\n",
-       ".xr-header {\n",
-       "  border-bottom: solid 1px var(--xr-border-color);\n",
-       "  margin-bottom: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-header > div,\n",
-       ".xr-header > ul {\n",
-       "  display: inline;\n",
-       "  margin-top: 0;\n",
-       "  margin-bottom: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-obj-type,\n",
-       ".xr-obj-name {\n",
-       "  margin-left: 2px;\n",
-       "  margin-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-obj-type,\n",
-       ".xr-group-box-contents > label {\n",
-       "  color: var(--xr-font-color2);\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-sections {\n",
-       "  padding-left: 0 !important;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
-       "  margin-block-start: 0;\n",
-       "  margin-block-end: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item > input,\n",
-       ".xr-group-box-contents > input,\n",
-       ".xr-array-wrap > input {\n",
-       "  display: block;\n",
-       "  opacity: 0;\n",
-       "  height: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item > input + label,\n",
-       ".xr-var-item > input + label {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item > input:enabled + label,\n",
-       ".xr-var-item > input:enabled + label,\n",
-       ".xr-array-wrap > input:enabled + label,\n",
-       ".xr-group-box-contents > input:enabled + label {\n",
-       "  cursor: pointer;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item > input:focus-visible + label,\n",
-       ".xr-var-item > input:focus-visible + label,\n",
-       ".xr-array-wrap > input:focus-visible + label,\n",
-       ".xr-group-box-contents > input:focus-visible + label {\n",
-       "  outline: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item > input:enabled + label:hover,\n",
-       ".xr-var-item > input:enabled + label:hover,\n",
-       ".xr-array-wrap > input:enabled + label:hover,\n",
-       ".xr-group-box-contents > input:enabled + label:hover {\n",
-       "  color: var(--xr-font-color0);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary {\n",
-       "  grid-column: 1;\n",
-       "  color: var(--xr-font-color2);\n",
-       "  font-weight: 500;\n",
-       "  white-space: nowrap;\n",
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-       "\n",
-       ".xr-section-summary > em {\n",
-       "  font-weight: normal;\n",
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-       "\n",
-       ".xr-span-grid {\n",
-       "  grid-column-end: -1;\n",
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-       "  display: inline-block;\n",
-       "  padding-left: 0.3em;\n",
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-       "  display: inline-block;\n",
-       "  padding-left: 0.6em;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label {\n",
-       "  color: var(--xr-font-color2);\n",
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-       "\n",
-       ".xr-section-summary-in + label:before {\n",
-       "  display: inline-block;\n",
-       "  content: \"►\";\n",
-       "  font-size: 11px;\n",
-       "  width: 15px;\n",
-       "  text-align: center;\n",
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-       "\n",
-       ".xr-section-summary-in:disabled + label:before {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label:before {\n",
-       "  content: \"▼\";\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label > span {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary,\n",
-       ".xr-section-inline-details,\n",
-       ".xr-group-box-contents > label {\n",
-       "  padding-top: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-inline-details {\n",
-       "  grid-column: 2 / -1;\n",
-       "}\n",
-       "\n",
-       ".xr-section-details {\n",
-       "  grid-column: 1 / -1;\n",
-       "  margin-top: 4px;\n",
-       "  margin-bottom: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in ~ .xr-section-details {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-children {\n",
-       "  display: inline-grid;\n",
-       "  grid-template-columns: 100%;\n",
-       "  grid-column: 1 / -1;\n",
-       "  padding-top: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box {\n",
-       "  display: inline-grid;\n",
-       "  grid-template-columns: 0px 30px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-vline {\n",
-       "  grid-column-start: 1;\n",
-       "  border-right: 0.2em solid;\n",
-       "  border-color: var(--xr-border-color);\n",
-       "  width: 0px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-hline {\n",
-       "  grid-column-start: 2;\n",
-       "  grid-row-start: 1;\n",
-       "  height: 1em;\n",
-       "  width: 26px;\n",
-       "  border-bottom: 0.2em solid;\n",
-       "  border-color: var(--xr-border-color);\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents {\n",
-       "  grid-column-start: 3;\n",
-       "  padding-bottom: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > label::before {\n",
-       "  content: \"📂\";\n",
-       "  padding-right: 0.3em;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input:checked + label::before {\n",
-       "  content: \"📁\";\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input:checked + label {\n",
-       "  padding-bottom: 0px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input + label > span {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-ellipsis {\n",
-       "  font-size: 1.4em;\n",
-       "  font-weight: 900;\n",
-       "  color: var(--xr-font-color2);\n",
-       "  letter-spacing: 0.15em;\n",
-       "  cursor: default;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap {\n",
-       "  grid-column: 1 / -1;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 20px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap > label {\n",
-       "  grid-column: 1;\n",
-       "  vertical-align: top;\n",
-       "}\n",
-       "\n",
-       ".xr-preview {\n",
-       "  color: var(--xr-font-color3);\n",
-       "}\n",
-       "\n",
-       ".xr-array-preview,\n",
-       ".xr-array-data {\n",
-       "  padding: 0 5px !important;\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-array-data,\n",
-       ".xr-array-in:checked ~ .xr-array-preview {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-array-in:checked ~ .xr-array-data,\n",
-       ".xr-array-preview {\n",
-       "  display: inline-block;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list {\n",
-       "  display: inline-block !important;\n",
-       "  list-style: none;\n",
-       "  padding: 0 !important;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li {\n",
-       "  display: inline-block;\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:before {\n",
-       "  content: \"(\";\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:after {\n",
-       "  content: \")\";\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: \",\";\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-has-index {\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list,\n",
-       ".xr-var-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > div,\n",
-       ".xr-var-item label,\n",
-       ".xr-var-item > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-even);\n",
-       "  border-color: var(--xr-background-color-row-odd);\n",
-       "  margin-bottom: 0;\n",
-       "  padding-top: 2px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list > li:nth-child(odd) > div,\n",
-       ".xr-var-list > li:nth-child(odd) > label,\n",
-       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-odd);\n",
-       "  border-color: var(--xr-background-color-row-even);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name {\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dims {\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  border-top: 2px dotted var(--xr-background-color);\n",
-       "  padding-bottom: 20px !important;\n",
-       "  padding-top: 10px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in + label,\n",
-       ".xr-var-data-in + label,\n",
-       ".xr-index-data-in + label {\n",
-       "  padding: 0 1px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > pre,\n",
-       ".xr-index-data > pre,\n",
-       ".xr-var-data > table > tbody > tr {\n",
-       "  background-color: transparent !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
-       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
-       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
-       "  color: var(--xr-font-color0);\n",
-       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
-       "  stroke-width: 0.8px;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 58kB\n",
-       "Dimensions:             (time: 2, bnds: 2, y: 18, x: 36, vertices: 4)\n",
-       "Coordinates:\n",
-       "  * time                (time) float64 16B 15.0 45.0\n",
-       "  * y                   (y) float64 144B 0.0 1.0 2.0 3.0 ... 14.0 15.0 16.0 17.0\n",
-       "  * x                   (x) float64 288B 0.0 1.0 2.0 3.0 ... 32.0 33.0 34.0 35.0\n",
-       "    latitude            (y, x) float64 5kB -84.99 -84.97 -84.94 ... 84.97 84.99\n",
-       "    longitude           (y, x) float64 5kB 3.506 13.51 23.51 ... 346.5 356.5\n",
-       "Dimensions without coordinates: bnds, vertices\n",
-       "Data variables:\n",
-       "    time_bnds           (time, bnds) float64 32B 0.0 30.0 30.0 60.0\n",
-       "    vertices_latitude   (y, x, vertices) float64 21kB -90.0 -90.0 ... 90.0 90.0\n",
-       "    vertices_longitude  (y, x, vertices) float64 21kB 358.5 8.5 ... 1.5 351.5\n",
-       "    tos                 (time, y, x) float32 5kB -8.312 -8.349 ... -7.549 -7.512\n",
-       "Attributes: (12/40)\n",
-       "    Conventions:           CF-1.12\n",
-       "    activity_id:           CMIP\n",
-       "    area_label:            sea\n",
-       "    branded_variable:      tos_tavg-u-hxy-sea\n",
-       "    branding_suffix:       tavg-u-hxy-sea\n",
-       "    creation_date:         2026-05-29T22:05:23Z\n",
-       "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/12b4876d-52a9-44eb-b35c-251f776908a6\n",
-       "    variable_id:           tos\n",
-       "    variant_label:         r9i1p1f3\n",
-       "    vertical_label:        u\n",
-       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-bf25991e-f638-4253-8e16-8fa84f80b098' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-bf25991e-f638-4253-8e16-8fa84f80b098' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>y</span>: 18</li><li><span class='xr-has-index'>x</span>: 36</li><li><span>vertices</span>: 4</li></ul></div></li><li class='xr-section-item'><input id='section-83077e08-73a6-45d5-87d4-a240d8139985' class='xr-section-summary-in' type='checkbox' checked /><label for='section-83077e08-73a6-45d5-87d4-a240d8139985' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0</div><input id='attrs-47043bee-01d7-4ac9-a67e-139234d41a1f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47043bee-01d7-4ac9-a67e-139234d41a1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a989780-c81f-4910-9024-aabacbb52a88' class='xr-var-data-in' type='checkbox'><label for='data-1a989780-c81f-4910-9024-aabacbb52a88' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 15.0 16.0 17.0</div><input id='attrs-bfec39bc-3a3b-41d5-802e-52df9c07c52c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bfec39bc-3a3b-41d5-802e-52df9c07c52c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0725da4c-26e4-4440-9dfb-060a98e880b6' class='xr-var-data-in' type='checkbox'><label for='data-0725da4c-26e4-4440-9dfb-060a98e880b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
-       "       14., 15., 16., 17.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 33.0 34.0 35.0</div><input id='attrs-4da84114-fea9-4430-bc8e-5f2a9adda3e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4da84114-fea9-4430-bc8e-5f2a9adda3e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a23e1cf-789c-4125-b28d-3d7fcae7a447' class='xr-var-data-in' type='checkbox'><label for='data-3a23e1cf-789c-4125-b28d-3d7fcae7a447' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
-       "       14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27.,\n",
-       "       28., 29., 30., 31., 32., 33., 34., 35.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-84.99 -84.97 ... 84.97 84.99</div><input id='attrs-5e75134b-9cde-4bda-baca-56ecf91bb503' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e75134b-9cde-4bda-baca-56ecf91bb503' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4995ccfe-59a5-44e4-9ea6-3f486d890e5d' class='xr-var-data-in' type='checkbox'><label for='data-4995ccfe-59a5-44e4-9ea6-3f486d890e5d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>bounds :</span></dt><dd>vertices_latitude</dd></dl></div><div class='xr-var-data'><pre>array([[-84.98860581, -84.96616365, -84.94474959, -84.92501428,\n",
-       "        -84.90755737, -84.89290929, -84.88151511, -84.87372103,\n",
-       "        -84.86976387, -84.86976387, -84.87372103, -84.88151511,\n",
-       "        -84.89290929, -84.90755737, -84.92501428, -84.94474959,\n",
-       "        -84.96616365, -84.98860581, -85.01139419, -85.03383635,\n",
-       "        -85.05525041, -85.07498572, -85.09244263, -85.10709071,\n",
-       "        -85.11848489, -85.12627897, -85.13023613, -85.13023613,\n",
-       "        -85.12627897, -85.11848489, -85.10709071, -85.09244263,\n",
-       "        -85.07498572, -85.05525041, -85.03383635, -85.01139419],\n",
-       "       [-74.96616365, -74.89951905, -74.83592752, -74.77732124,\n",
-       "        -74.72548095, -74.68198178, -74.64814543, -74.625     ,\n",
-       "        -74.61324876, -74.61324876, -74.625     , -74.64814543,\n",
-       "        -74.68198178, -74.72548095, -74.77732124, -74.83592752,\n",
-       "        -74.89951905, -74.96616365, -75.03383635, -75.10048095,\n",
-       "        -75.16407248, -75.22267876, -75.27451905, -75.31801822,\n",
-       "        -75.35185457, -75.375     , -75.38675124, -75.38675124,\n",
-       "        -75.375     , -75.35185457, -75.31801822, -75.27451905,\n",
-       "        -75.22267876, -75.16407248, -75.10048095, -75.03383635],\n",
-       "       [-64.94474959, -64.83592752, -64.73209071, -64.63639419,\n",
-       "        -64.55174564, -64.48071708, -64.42546667, -64.38767316,\n",
-       "...\n",
-       "         64.38767316,  64.42546667,  64.48071708,  64.55174564,\n",
-       "         64.63639419,  64.73209071,  64.83592752,  64.94474959],\n",
-       "       [ 75.03383635,  75.10048095,  75.16407248,  75.22267876,\n",
-       "         75.27451905,  75.31801822,  75.35185457,  75.375     ,\n",
-       "         75.38675124,  75.38675124,  75.375     ,  75.35185457,\n",
-       "         75.31801822,  75.27451905,  75.22267876,  75.16407248,\n",
-       "         75.10048095,  75.03383635,  74.96616365,  74.89951905,\n",
-       "         74.83592752,  74.77732124,  74.72548095,  74.68198178,\n",
-       "         74.64814543,  74.625     ,  74.61324876,  74.61324876,\n",
-       "         74.625     ,  74.64814543,  74.68198178,  74.72548095,\n",
-       "         74.77732124,  74.83592752,  74.89951905,  74.96616365],\n",
-       "       [ 85.01139419,  85.03383635,  85.05525041,  85.07498572,\n",
-       "         85.09244263,  85.10709071,  85.11848489,  85.12627897,\n",
-       "         85.13023613,  85.13023613,  85.12627897,  85.11848489,\n",
-       "         85.10709071,  85.09244263,  85.07498572,  85.05525041,\n",
-       "         85.03383635,  85.01139419,  84.98860581,  84.96616365,\n",
-       "         84.94474959,  84.92501428,  84.90755737,  84.89290929,\n",
-       "         84.88151511,  84.87372103,  84.86976387,  84.86976387,\n",
-       "         84.87372103,  84.88151511,  84.89290929,  84.90755737,\n",
-       "         84.92501428,  84.94474959,  84.96616365,  84.98860581]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.506 13.51 23.51 ... 346.5 356.5</div><input id='attrs-2253ca22-7be1-4976-b1d6-f108a1bbd807' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2253ca22-7be1-4976-b1d6-f108a1bbd807' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f9075d1-0b17-4e18-bbcd-f449f0dfb373' class='xr-var-data-in' type='checkbox'><label for='data-8f9075d1-0b17-4e18-bbcd-f449f0dfb373' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>bounds :</span></dt><dd>vertices_longitude</dd></dl></div><div class='xr-var-data'><pre>array([[  3.50570795,  13.50570795,  23.50570795,  33.50570795,\n",
-       "         43.50570795,  53.50570795,  63.50570795,  73.50570795,\n",
-       "         83.50570795,  93.50570795, 103.50570795, 113.50570795,\n",
-       "        123.50570795, 133.50570795, 143.50570795, 153.50570795,\n",
-       "        163.50570795, 173.50570795, 183.50570795, 193.50570795,\n",
-       "        203.50570795, 213.50570795, 223.50570795, 233.50570795,\n",
-       "        243.50570795, 253.50570795, 263.50570795, 273.50570795,\n",
-       "        283.50570795, 293.50570795, 303.50570795, 313.50570795,\n",
-       "        323.50570795, 333.50570795, 343.50570795, 353.50570795],\n",
-       "       [  3.55111126,  13.55111126,  23.55111126,  33.55111126,\n",
-       "         43.55111126,  53.55111126,  63.55111126,  73.55111126,\n",
-       "         83.55111126,  93.55111126, 103.55111126, 113.55111126,\n",
-       "        123.55111126, 133.55111126, 143.55111126, 153.55111126,\n",
-       "        163.55111126, 173.55111126, 183.55111126, 193.55111126,\n",
-       "        203.55111126, 213.55111126, 223.55111126, 233.55111126,\n",
-       "        243.55111126, 253.55111126, 263.55111126, 273.55111126,\n",
-       "        283.55111126, 293.55111126, 303.55111126, 313.55111126,\n",
-       "        323.55111126, 333.55111126, 343.55111126, 353.55111126],\n",
-       "       [  3.64053832,  13.64053832,  23.64053832,  33.64053832,\n",
-       "         43.64053832,  53.64053832,  63.64053832,  73.64053832,\n",
-       "...\n",
-       "        286.35946168, 296.35946168, 306.35946168, 316.35946168,\n",
-       "        326.35946168, 336.35946168, 346.35946168, 356.35946168],\n",
-       "       [  6.44888874,  16.44888874,  26.44888874,  36.44888874,\n",
-       "         46.44888874,  56.44888874,  66.44888874,  76.44888874,\n",
-       "         86.44888874,  96.44888874, 106.44888874, 116.44888874,\n",
-       "        126.44888874, 136.44888874, 146.44888874, 156.44888874,\n",
-       "        166.44888874, 176.44888874, 186.44888874, 196.44888874,\n",
-       "        206.44888874, 216.44888874, 226.44888874, 236.44888874,\n",
-       "        246.44888874, 256.44888874, 266.44888874, 276.44888874,\n",
-       "        286.44888874, 296.44888874, 306.44888874, 316.44888874,\n",
-       "        326.44888874, 336.44888874, 346.44888874, 356.44888874],\n",
-       "       [  6.49429205,  16.49429205,  26.49429205,  36.49429205,\n",
-       "         46.49429205,  56.49429205,  66.49429205,  76.49429205,\n",
-       "         86.49429205,  96.49429205, 106.49429205, 116.49429205,\n",
-       "        126.49429205, 136.49429205, 146.49429205, 156.49429205,\n",
-       "        166.49429205, 176.49429205, 186.49429205, 196.49429205,\n",
-       "        206.49429205, 216.49429205, 226.49429205, 236.49429205,\n",
-       "        246.49429205, 256.49429205, 266.49429205, 276.49429205,\n",
-       "        286.49429205, 296.49429205, 306.49429205, 316.49429205,\n",
-       "        326.49429205, 336.49429205, 346.49429205, 356.49429205]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-174fb2e3-a80b-4a59-a0c7-0444d5e2f9f0' class='xr-section-summary-in' type='checkbox' checked /><label for='section-174fb2e3-a80b-4a59-a0c7-0444d5e2f9f0' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0</div><input id='attrs-20f86a01-7a71-48cb-b229-e9a2aaed5dcb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-20f86a01-7a71-48cb-b229-e9a2aaed5dcb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e18fb944-99d2-4c33-8a76-9316fdfe9179' class='xr-var-data-in' type='checkbox'><label for='data-e18fb944-99d2-4c33-8a76-9316fdfe9179' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
-       "       [30., 60.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_latitude</span></div><div class='xr-var-dims'>(y, x, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -90.0 -79.95 ... 90.0 90.0</div><input id='attrs-d9bb1c4f-fd36-4a6d-8776-e5ec2518cda5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9bb1c4f-fd36-4a6d-8776-e5ec2518cda5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7281cc51-0b6a-491b-97ff-626f0ff81c20' class='xr-var-data-in' type='checkbox'><label for='data-7281cc51-0b6a-491b-97ff-626f0ff81c20' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[[-90.        , -90.        , -79.95476947, -80.        ],\n",
-       "        [-90.        , -90.        , -79.91091324, -79.95476947],\n",
-       "        [-90.        , -90.        , -79.86976387, -79.91091324],\n",
-       "        ...,\n",
-       "        [-90.        , -90.        , -80.08908676, -80.13023613],\n",
-       "        [-90.        , -90.        , -80.04523053, -80.08908676],\n",
-       "        [-90.        , -90.        , -80.        , -80.04523053]],\n",
-       "\n",
-       "       [[-80.        , -79.95476947, -69.91091324, -70.        ],\n",
-       "        [-79.95476947, -79.91091324, -69.82453333, -69.91091324],\n",
-       "        [-79.91091324, -79.86976387, -69.74348489, -69.82453333],\n",
-       "        ...,\n",
-       "        [-80.13023613, -80.08908676, -70.17546667, -70.25651511],\n",
-       "        [-80.08908676, -80.04523053, -70.08908676, -70.17546667],\n",
-       "        [-80.04523053, -80.        , -70.        , -70.08908676]],\n",
-       "\n",
-       "       [[-70.        , -69.91091324, -59.86976387, -60.        ],\n",
-       "        [-69.91091324, -69.82453333, -59.74348489, -59.86976387],\n",
-       "        [-69.82453333, -69.74348489, -59.625     , -59.74348489],\n",
-       "        ...,\n",
-       "...\n",
-       "        [ 59.625     ,  59.74348489,  69.82453333,  69.74348489],\n",
-       "        [ 59.74348489,  59.86976387,  69.91091324,  69.82453333],\n",
-       "        [ 59.86976387,  60.        ,  70.        ,  69.91091324]],\n",
-       "\n",
-       "       [[ 70.        ,  70.08908676,  80.04523053,  80.        ],\n",
-       "        [ 70.08908676,  70.17546667,  80.08908676,  80.04523053],\n",
-       "        [ 70.17546667,  70.25651511,  80.13023613,  80.08908676],\n",
-       "        ...,\n",
-       "        [ 69.74348489,  69.82453333,  79.91091324,  79.86976387],\n",
-       "        [ 69.82453333,  69.91091324,  79.95476947,  79.91091324],\n",
-       "        [ 69.91091324,  70.        ,  80.        ,  79.95476947]],\n",
-       "\n",
-       "       [[ 80.        ,  80.04523053,  90.        ,  90.        ],\n",
-       "        [ 80.04523053,  80.08908676,  90.        ,  90.        ],\n",
-       "        [ 80.08908676,  80.13023613,  90.        ,  90.        ],\n",
-       "        ...,\n",
-       "        [ 79.86976387,  79.91091324,  90.        ,  90.        ],\n",
-       "        [ 79.91091324,  79.95476947,  90.        ,  90.        ],\n",
-       "        [ 79.95476947,  80.        ,  90.        ,  90.        ]]],\n",
-       "      shape=(18, 36, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_longitude</span></div><div class='xr-var-dims'>(y, x, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>358.5 8.5 8.523 ... 1.477 1.5 351.5</div><input id='attrs-e5d27a1e-d1de-4361-9522-3606deb09f79' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e5d27a1e-d1de-4361-9522-3606deb09f79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a6f9aed-386b-4ddc-9a70-23e13ec9fd55' class='xr-var-data-in' type='checkbox'><label for='data-6a6f9aed-386b-4ddc-9a70-23e13ec9fd55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[[358.5       ,   8.5       ,   8.52278837, 358.52278837],\n",
-       "        [  8.5       ,  18.5       ,  18.52278837,   8.52278837],\n",
-       "        [ 18.5       ,  28.5       ,  28.52278837,  18.52278837],\n",
-       "        ...,\n",
-       "        [328.5       , 338.5       , 338.52278837, 328.52278837],\n",
-       "        [338.5       , 348.5       , 348.52278837, 338.52278837],\n",
-       "        [348.5       , 358.5       , 358.52278837, 348.52278837]],\n",
-       "\n",
-       "       [[358.52278837,   8.52278837,   8.59046107, 358.59046107],\n",
-       "        [  8.52278837,  18.52278837,  18.59046107,   8.59046107],\n",
-       "        [ 18.52278837,  28.52278837,  28.59046107,  18.59046107],\n",
-       "        ...,\n",
-       "        [328.52278837, 338.52278837, 338.59046107, 328.59046107],\n",
-       "        [338.52278837, 348.52278837, 348.59046107, 338.59046107],\n",
-       "        [348.52278837, 358.52278837, 358.59046107, 348.59046107]],\n",
-       "\n",
-       "       [[358.59046107,   8.59046107,   8.70096189, 358.70096189],\n",
-       "        [  8.59046107,  18.59046107,  18.70096189,   8.70096189],\n",
-       "        [ 18.59046107,  28.59046107,  28.70096189,  18.70096189],\n",
-       "        ...,\n",
-       "...\n",
-       "        [331.29903811, 341.29903811, 341.40953893, 331.40953893],\n",
-       "        [341.29903811, 351.29903811, 351.40953893, 341.40953893],\n",
-       "        [351.29903811,   1.29903811,   1.40953893, 351.40953893]],\n",
-       "\n",
-       "       [[  1.40953893,  11.40953893,  11.47721163,   1.47721163],\n",
-       "        [ 11.40953893,  21.40953893,  21.47721163,  11.47721163],\n",
-       "        [ 21.40953893,  31.40953893,  31.47721163,  21.47721163],\n",
-       "        ...,\n",
-       "        [331.40953893, 341.40953893, 341.47721163, 331.47721163],\n",
-       "        [341.40953893, 351.40953893, 351.47721163, 341.47721163],\n",
-       "        [351.40953893,   1.40953893,   1.47721163, 351.47721163]],\n",
-       "\n",
-       "       [[  1.47721163,  11.47721163,  11.5       ,   1.5       ],\n",
-       "        [ 11.47721163,  21.47721163,  21.5       ,  11.5       ],\n",
-       "        [ 21.47721163,  31.47721163,  31.5       ,  21.5       ],\n",
-       "        ...,\n",
-       "        [331.47721163, 341.47721163, 341.5       , 331.5       ],\n",
-       "        [341.47721163, 351.47721163, 351.5       , 341.5       ],\n",
-       "        [351.47721163,   1.47721163,   1.5       , 351.5       ]]],\n",
-       "      shape=(18, 36, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-8.312 -8.349 ... -7.549 -7.512</div><input id='attrs-0a12d8c3-4a8f-4912-b84e-e9fa656107f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a12d8c3-4a8f-4912-b84e-e9fa656107f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e75280b-be97-41da-b7f0-e64c9726c5e6' class='xr-var-data-in' type='checkbox'><label for='data-2e75280b-be97-41da-b7f0-e64c9726c5e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd></dl></div><div class='xr-var-data'><pre>array([[[-8.312039 , -8.349005 , -8.430357 , ..., -8.471792 ,\n",
-       "         -8.37438  , -8.320584 ],\n",
-       "        [-6.820808 , -6.8450875, -6.914289 , ..., -7.0179367,\n",
-       "         -6.9085636, -6.842183 ],\n",
-       "        [-4.0193896, -4.022181 , -4.0708275, ..., -4.280002 ,\n",
-       "         -4.150284 , -4.0625277],\n",
-       "        ...,\n",
-       "        [-4.0625277, -4.150284 , -4.280002 , ..., -4.0708275,\n",
-       "         -4.022181 , -4.0193896],\n",
-       "        [-6.842183 , -6.9085636, -7.0179367, ..., -6.914289 ,\n",
-       "         -6.8450875, -6.820808 ],\n",
-       "        [-8.320584 , -8.37438  , -8.471792 , ..., -8.430357 ,\n",
-       "         -8.349005 , -8.312039 ]],\n",
-       "\n",
-       "       [[-7.5120397, -7.5490046, -7.6303573, ..., -7.671792 ,\n",
-       "         -7.57438  , -7.5205846],\n",
-       "        [-6.020808 , -6.0450873, -6.1142893, ..., -6.217937 ,\n",
-       "         -6.1085634, -6.0421834],\n",
-       "        [-3.2193897, -3.2221808, -3.2708275, ..., -3.480002 ,\n",
-       "         -3.350284 , -3.2625277],\n",
-       "        ...,\n",
-       "        [-3.2625277, -3.350284 , -3.480002 , ..., -3.2708275,\n",
-       "         -3.2221808, -3.2193897],\n",
-       "        [-6.0421834, -6.1085634, -6.217937 , ..., -6.1142893,\n",
-       "         -6.0450873, -6.020808 ],\n",
-       "        [-7.5205846, -7.57438  , -7.671792 , ..., -7.6303573,\n",
-       "         -7.5490046, -7.5120397]]], shape=(2, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-32e869c0-fef4-4c40-aec8-12abb8a63eb8' class='xr-section-summary-in' type='checkbox' /><label for='section-32e869c0-fef4-4c40-aec8-12abb8a63eb8' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>tos_tavg-u-hxy-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-sea</dd><dt><span>creation_date :</span></dt><dd>2026-05-29T22:05:23Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacello</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-29T22:05:23Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/12b4876d-52a9-44eb-b35c-251f776908a6</dd><dt><span>variable_id :</span></dt><dd>tos</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset> Size: 58kB\n",
-       "Dimensions:             (time: 2, bnds: 2, y: 18, x: 36, vertices: 4)\n",
-       "Coordinates:\n",
-       "  * time                (time) float64 16B 15.0 45.0\n",
-       "  * y                   (y) float64 144B 0.0 1.0 2.0 3.0 ... 14.0 15.0 16.0 17.0\n",
-       "  * x                   (x) float64 288B 0.0 1.0 2.0 3.0 ... 32.0 33.0 34.0 35.0\n",
-       "    latitude            (y, x) float64 5kB -84.99 -84.97 -84.94 ... 84.97 84.99\n",
-       "    longitude           (y, x) float64 5kB 3.506 13.51 23.51 ... 346.5 356.5\n",
-       "Dimensions without coordinates: bnds, vertices\n",
-       "Data variables:\n",
-       "    time_bnds           (time, bnds) float64 32B 0.0 30.0 30.0 60.0\n",
-       "    vertices_latitude   (y, x, vertices) float64 21kB -90.0 -90.0 ... 90.0 90.0\n",
-       "    vertices_longitude  (y, x, vertices) float64 21kB 358.5 8.5 ... 1.5 351.5\n",
-       "    tos                 (time, y, x) float32 5kB -8.312 -8.349 ... -7.549 -7.512\n",
-       "Attributes: (12/40)\n",
-       "    Conventions:           CF-1.12\n",
-       "    activity_id:           CMIP\n",
-       "    area_label:            sea\n",
-       "    branded_variable:      tos_tavg-u-hxy-sea\n",
-       "    branding_suffix:       tavg-u-hxy-sea\n",
-       "    creation_date:         2026-05-29T22:05:23Z\n",
-       "    ...                    ...\n",
-       "    tracking_id:           hdl:21.14107/12b4876d-52a9-44eb-b35c-251f776908a6\n",
-       "    variable_id:           tos\n",
-       "    variant_label:         r9i1p1f3\n",
-       "    vertical_label:        u\n",
-       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<xarray.Dataset> Size: 58kB\n",
+      "Dimensions:             (time: 2, bnds: 2, y: 18, x: 36, vertices: 4)\n",
+      "Coordinates:\n",
+      "  * time                (time) float64 16B 15.0 45.0\n",
+      "  * y                   (y) float64 144B 0.0 1.0 2.0 3.0 ... 14.0 15.0 16.0 17.0\n",
+      "  * x                   (x) float64 288B 0.0 1.0 2.0 3.0 ... 32.0 33.0 34.0 35.0\n",
+      "    latitude            (y, x) float64 5kB -84.99 -84.97 -84.94 ... 84.97 84.99\n",
+      "    longitude           (y, x) float64 5kB 3.506 13.51 23.51 ... 346.5 356.5\n",
+      "Dimensions without coordinates: bnds, vertices\n",
+      "Data variables:\n",
+      "    time_bnds           (time, bnds) float64 32B 0.0 30.0 30.0 60.0\n",
+      "    vertices_latitude   (y, x, vertices) float64 21kB -90.0 -90.0 ... 90.0 90.0\n",
+      "    vertices_longitude  (y, x, vertices) float64 21kB 358.5 8.5 ... 1.5 351.5\n",
+      "    tos                 (time, y, x) float32 5kB -8.312 -8.349 ... -7.549 -7.512\n",
+      "Attributes:\n",
+      "    Conventions:           CF-1.12\n",
+      "    activity_id:           CMIP\n",
+      "    area_label:            sea\n",
+      "    branded_variable:      tos_tavg-u-hxy-sea\n",
+      "    branding_suffix:       tavg-u-hxy-sea\n",
+      "    creation_date:         2026-05-29T22:37:15Z\n",
+      "    data_specs_version:    MIP-DS7.1.0.0\n",
+      "    description:           Simulation of the climate of the recent past with ...\n",
+      "    drs_specs:             MIP-DRS7\n",
+      "    experiment:            Simulation of the climate of the recent past with ...\n",
+      "    experiment_id:         amip\n",
+      "    external_variables:    areacello\n",
+      "    forcing_index:         f3\n",
+      "    frequency:             mon\n",
+      "    grid_label:            g999\n",
+      "    history:               2026-05-29T22:37:15Z ; CMOR rewrote data to be con...\n",
+      "    horizontal_label:      hxy\n",
+      "    host_collection:       CMIP7\n",
+      "    initialization_index:  i1\n",
+      "    institution:           Environment and Climate Change Canada\n",
+      "    institution_id:        CCCma\n",
+      "    license_id:            CC-BY-4.0\n",
+      "    mip_era:               CMIP7\n",
+      "    nominal_resolution:    100 km\n",
+      "    physics_index:         p1\n",
+      "    product:               model-output\n",
+      "    realization_index:     r9\n",
+      "    realm:                 ocean\n",
+      "    region:                glb\n",
+      "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
+      "    source_id:             DUMMY-MODEL\n",
+      "    table_info:            Name: CMIP7_ocean.json; Creation Date:(2026-04-21 ...\n",
+      "    temporal_label:        tavg\n",
+      "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
+      "    tracking_id:           hdl:21.14107/46431a87-4b4a-4326-bc98-707912a083a4\n",
+      "    variable_id:           tos\n",
+      "    variant_label:         r9i1p1f3\n",
+      "    vertical_label:        u\n",
+      "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+      "    cmor_version:          3.15.1\n"
+     ]
     }
    ],
    "source": [
     "with xr.open_dataset(netcdf_path, decode_times=False) as opened:\n",
     "    ds = opened.load()\n",
-    "ds\n"
+    "\n",
+    "with xr.set_options(display_expand_attrs=True, display_max_rows=80):\n",
+    "    print(ds)\n"
    ]
   },
   {
@@ -1050,10 +314,10 @@
    "id": "9148e5df",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:05:23.470876Z",
-     "iopub.status.busy": "2026-05-29T22:05:23.470788Z",
-     "iopub.status.idle": "2026-05-29T22:05:23.602842Z",
-     "shell.execute_reply": "2026-05-29T22:05:23.602399Z"
+     "iopub.execute_input": "2026-05-29T22:37:15.265147Z",
+     "iopub.status.busy": "2026-05-29T22:37:15.265077Z",
+     "iopub.status.idle": "2026-05-29T22:37:15.397855Z",
+     "shell.execute_reply": "2026-05-29T22:37:15.397310Z"
     }
    },
    "outputs": [

From bc6ffd2ea18fd900361e43bcfd124be7bbe7a2bf Mon Sep 17 00:00:00 2001
From: Chris Mauzey <mauzey1@llnl.gov>
Date: Fri, 29 May 2026 15:44:23 -0700
Subject: [PATCH 07/25] Turn visualization figures into PNG files to display in
 notebook

---
 .../01_basic_ocean_surface_temperature.ipynb  |  73 ++++++++--------
 .../02_atmos_surface_air_temperature.ipynb    |  73 ++++++++--------
 .../03_pressure_level_air_temperature.ipynb   |  73 ++++++++--------
 notebooks/04_hybrid_sigma_zfactors.ipynb      |  80 ++++++++++--------
 notebooks/05_curvilinear_ocean_grid.ipynb     |  73 ++++++++--------
 .../01_basic_ocean_surface_temperature.png    | Bin 0 -> 155384 bytes
 .../02_atmos_surface_air_temperature.png      | Bin 0 -> 151653 bytes
 .../03_pressure_level_air_temperature.png     | Bin 0 -> 150599 bytes
 .../figures/04_hybrid_sigma_zfactors.png      | Bin 0 -> 151649 bytes
 .../figures/05_curvilinear_ocean_grid.png     | Bin 0 -> 159840 bytes
 10 files changed, 192 insertions(+), 180 deletions(-)
 create mode 100644 notebooks/figures/01_basic_ocean_surface_temperature.png
 create mode 100644 notebooks/figures/02_atmos_surface_air_temperature.png
 create mode 100644 notebooks/figures/03_pressure_level_air_temperature.png
 create mode 100644 notebooks/figures/04_hybrid_sigma_zfactors.png
 create mode 100644 notebooks/figures/05_curvilinear_ocean_grid.png

diff --git a/notebooks/01_basic_ocean_surface_temperature.ipynb b/notebooks/01_basic_ocean_surface_temperature.ipynb
index 14de8a2c..4859187a 100644
--- a/notebooks/01_basic_ocean_surface_temperature.ipynb
+++ b/notebooks/01_basic_ocean_surface_temperature.ipynb
@@ -16,10 +16,10 @@
    "id": "1ef49a65",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:37:07.772266Z",
-     "iopub.status.busy": "2026-05-29T22:37:07.772119Z",
-     "iopub.status.idle": "2026-05-29T22:37:08.274580Z",
-     "shell.execute_reply": "2026-05-29T22:37:08.274087Z"
+     "iopub.execute_input": "2026-05-29T22:41:54.709213Z",
+     "iopub.status.busy": "2026-05-29T22:41:54.709000Z",
+     "iopub.status.idle": "2026-05-29T22:41:55.205442Z",
+     "shell.execute_reply": "2026-05-29T22:41:55.204958Z"
     }
    },
    "outputs": [
@@ -58,10 +58,10 @@
    "id": "98a3af92",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:37:08.275975Z",
-     "iopub.status.busy": "2026-05-29T22:37:08.275841Z",
-     "iopub.status.idle": "2026-05-29T22:37:08.284069Z",
-     "shell.execute_reply": "2026-05-29T22:37:08.283635Z"
+     "iopub.execute_input": "2026-05-29T22:41:55.206810Z",
+     "iopub.status.busy": "2026-05-29T22:41:55.206691Z",
+     "iopub.status.idle": "2026-05-29T22:41:55.214480Z",
+     "shell.execute_reply": "2026-05-29T22:41:55.213933Z"
     }
    },
    "outputs": [
@@ -133,10 +133,10 @@
    "id": "33c84a99",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:37:08.285313Z",
-     "iopub.status.busy": "2026-05-29T22:37:08.285224Z",
-     "iopub.status.idle": "2026-05-29T22:37:08.351803Z",
-     "shell.execute_reply": "2026-05-29T22:37:08.351284Z"
+     "iopub.execute_input": "2026-05-29T22:41:55.215816Z",
+     "iopub.status.busy": "2026-05-29T22:41:55.215715Z",
+     "iopub.status.idle": "2026-05-29T22:41:55.280389Z",
+     "shell.execute_reply": "2026-05-29T22:41:55.280055Z"
     }
    },
    "outputs": [
@@ -191,10 +191,10 @@
    "id": "52566071",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:37:08.353003Z",
-     "iopub.status.busy": "2026-05-29T22:37:08.352930Z",
-     "iopub.status.idle": "2026-05-29T22:37:08.466804Z",
-     "shell.execute_reply": "2026-05-29T22:37:08.466424Z"
+     "iopub.execute_input": "2026-05-29T22:41:55.281762Z",
+     "iopub.status.busy": "2026-05-29T22:41:55.281684Z",
+     "iopub.status.idle": "2026-05-29T22:41:55.392625Z",
+     "shell.execute_reply": "2026-05-29T22:41:55.392307Z"
     }
    },
    "outputs": [
@@ -220,7 +220,7 @@
       "    area_label:            sea\n",
       "    branded_variable:      tos_tavg-u-hxy-sea\n",
       "    branding_suffix:       tavg-u-hxy-sea\n",
-      "    creation_date:         2026-05-29T22:37:08Z\n",
+      "    creation_date:         2026-05-29T22:41:55Z\n",
       "    data_specs_version:    MIP-DS7.1.0.0\n",
       "    description:           Simulation of the climate of the recent past with ...\n",
       "    drs_specs:             MIP-DRS7\n",
@@ -230,7 +230,7 @@
       "    forcing_index:         f3\n",
       "    frequency:             mon\n",
       "    grid_label:            g999\n",
-      "    history:               2026-05-29T22:37:08Z ; CMOR rewrote data to be con...\n",
+      "    history:               2026-05-29T22:41:55Z ; CMOR rewrote data to be con...\n",
       "    horizontal_label:      hxy\n",
       "    host_collection:       CMIP7\n",
       "    initialization_index:  i1\n",
@@ -249,7 +249,7 @@
       "    table_info:            Name: CMIP7_ocean.json; Creation Date:(2026-04-21 ...\n",
       "    temporal_label:        tavg\n",
       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-      "    tracking_id:           hdl:21.14107/1f46997a-411f-420c-8c79-aa8c2490d05e\n",
+      "    tracking_id:           hdl:21.14107/7254f65a-77e5-49d1-be74-3271601b1c96\n",
       "    variable_id:           tos\n",
       "    variant_label:         r9i1p1f3\n",
       "    vertical_label:        u\n",
@@ -272,24 +272,13 @@
    "id": "1a291a66",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:37:08.468486Z",
-     "iopub.status.busy": "2026-05-29T22:37:08.468322Z",
-     "iopub.status.idle": "2026-05-29T22:37:08.603767Z",
-     "shell.execute_reply": "2026-05-29T22:37:08.603362Z"
+     "iopub.execute_input": "2026-05-29T22:41:55.393911Z",
+     "iopub.status.busy": "2026-05-29T22:41:55.393835Z",
+     "iopub.status.idle": "2026-05-29T22:41:55.528468Z",
+     "shell.execute_reply": "2026-05-29T22:41:55.527943Z"
     }
    },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1100x540 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "fig, ax = plt.subplots(figsize=(11, 5.4))\n",
     "map_plot = Basemap(\n",
@@ -314,7 +303,19 @@
     "colorbar = map_plot.colorbar(mesh, location=\"right\", pad=\"5%\")\n",
     "colorbar.set_label(\"degC\")\n",
     "ax.set_title(\"CMIP7 tos, first month\")\n",
-    "plt.show()\n"
+    "figures_dir = Path(\"figures\")\n",
+    "figures_dir.mkdir(exist_ok=True)\n",
+    "figure_path = figures_dir / \"01_basic_ocean_surface_temperature.png\"\n",
+    "fig.savefig(figure_path, dpi=120, bbox_inches=\"tight\")\n",
+    "plt.close(fig)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "34cde163",
+   "metadata": {},
+   "source": [
+    "![CMIP7 tos, first month](figures/01_basic_ocean_surface_temperature.png)"
    ]
   }
  ],
diff --git a/notebooks/02_atmos_surface_air_temperature.ipynb b/notebooks/02_atmos_surface_air_temperature.ipynb
index 2c14b167..b40b4605 100644
--- a/notebooks/02_atmos_surface_air_temperature.ipynb
+++ b/notebooks/02_atmos_surface_air_temperature.ipynb
@@ -16,10 +16,10 @@
    "id": "d1d1af98",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:37:09.474211Z",
-     "iopub.status.busy": "2026-05-29T22:37:09.474133Z",
-     "iopub.status.idle": "2026-05-29T22:37:09.958796Z",
-     "shell.execute_reply": "2026-05-29T22:37:09.958455Z"
+     "iopub.execute_input": "2026-05-29T22:41:56.431609Z",
+     "iopub.status.busy": "2026-05-29T22:41:56.431439Z",
+     "iopub.status.idle": "2026-05-29T22:41:56.939685Z",
+     "shell.execute_reply": "2026-05-29T22:41:56.939243Z"
     }
    },
    "outputs": [
@@ -58,10 +58,10 @@
    "id": "284b84c2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:37:09.960165Z",
-     "iopub.status.busy": "2026-05-29T22:37:09.960053Z",
-     "iopub.status.idle": "2026-05-29T22:37:09.967996Z",
-     "shell.execute_reply": "2026-05-29T22:37:09.967537Z"
+     "iopub.execute_input": "2026-05-29T22:41:56.940951Z",
+     "iopub.status.busy": "2026-05-29T22:41:56.940808Z",
+     "iopub.status.idle": "2026-05-29T22:41:56.949053Z",
+     "shell.execute_reply": "2026-05-29T22:41:56.948643Z"
     }
    },
    "outputs": [
@@ -133,10 +133,10 @@
    "id": "d2ded412",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:37:09.969293Z",
-     "iopub.status.busy": "2026-05-29T22:37:09.969205Z",
-     "iopub.status.idle": "2026-05-29T22:37:10.042259Z",
-     "shell.execute_reply": "2026-05-29T22:37:10.041787Z"
+     "iopub.execute_input": "2026-05-29T22:41:56.950177Z",
+     "iopub.status.busy": "2026-05-29T22:41:56.950103Z",
+     "iopub.status.idle": "2026-05-29T22:41:57.024931Z",
+     "shell.execute_reply": "2026-05-29T22:41:57.024540Z"
     }
    },
    "outputs": [
@@ -192,10 +192,10 @@
    "id": "5bf2f00d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:37:10.043431Z",
-     "iopub.status.busy": "2026-05-29T22:37:10.043362Z",
-     "iopub.status.idle": "2026-05-29T22:37:10.161793Z",
-     "shell.execute_reply": "2026-05-29T22:37:10.161211Z"
+     "iopub.execute_input": "2026-05-29T22:41:57.026492Z",
+     "iopub.status.busy": "2026-05-29T22:41:57.026370Z",
+     "iopub.status.idle": "2026-05-29T22:41:57.141466Z",
+     "shell.execute_reply": "2026-05-29T22:41:57.141019Z"
     }
    },
    "outputs": [
@@ -222,7 +222,7 @@
       "    area_label:            u\n",
       "    branded_variable:      tas_tavg-h2m-hxy-u\n",
       "    branding_suffix:       tavg-h2m-hxy-u\n",
-      "    creation_date:         2026-05-29T22:37:10Z\n",
+      "    creation_date:         2026-05-29T22:41:57Z\n",
       "    data_specs_version:    MIP-DS7.1.0.0\n",
       "    description:           Simulation of the climate of the recent past with ...\n",
       "    drs_specs:             MIP-DRS7\n",
@@ -232,7 +232,7 @@
       "    forcing_index:         f3\n",
       "    frequency:             mon\n",
       "    grid_label:            g999\n",
-      "    history:               2026-05-29T22:37:10Z ; CMOR rewrote data to be con...\n",
+      "    history:               2026-05-29T22:41:57Z ; CMOR rewrote data to be con...\n",
       "    horizontal_label:      hxy\n",
       "    host_collection:       CMIP7\n",
       "    initialization_index:  i1\n",
@@ -251,7 +251,7 @@
       "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
       "    temporal_label:        tavg\n",
       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-      "    tracking_id:           hdl:21.14107/6edd36c3-6288-41d1-b457-474379520d7e\n",
+      "    tracking_id:           hdl:21.14107/4a243f89-116a-4b32-abc1-0ba74dcd332d\n",
       "    variable_id:           tas\n",
       "    variant_label:         r9i1p1f3\n",
       "    vertical_label:        h2m\n",
@@ -281,24 +281,13 @@
    "id": "1daca239",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:37:10.163618Z",
-     "iopub.status.busy": "2026-05-29T22:37:10.163505Z",
-     "iopub.status.idle": "2026-05-29T22:37:10.293539Z",
-     "shell.execute_reply": "2026-05-29T22:37:10.293193Z"
+     "iopub.execute_input": "2026-05-29T22:41:57.142638Z",
+     "iopub.status.busy": "2026-05-29T22:41:57.142569Z",
+     "iopub.status.idle": "2026-05-29T22:41:57.284120Z",
+     "shell.execute_reply": "2026-05-29T22:41:57.283572Z"
     }
    },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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bRtRu5UHRYupbSvcNGTKEW4fUhnpGUh/O+q1KBAKBQCAQCAQCgUAgMKk+yjY2Nhg6dCj3bCSh6+bmht9++41FMEWVSSQTdHtt6H/DfYbU6/nz53PPTIooNwalZFNEmvo1jhw5stnbSD0dKYJN20op3AKBQCAQCAQCgaB7QhmvlL3q6ekJc3PTa/hD5amkiUwNCwuLBsHR7kaLhDJBtcm33nort8iQSCScQr1gwQIcPny4Reuh2mVamoKizDfddBNHlXfv3t3s9ZJI9vHxadG2CAQCgUAgEAgEgisX8kTy9vaGqYlkD4U1CqCDqeHu7s7Zwt1ZLLdYKAcFBWH79u1cZ1xUVMTu1vPmzUNgYCDvUCIzM5NvN0D/k8t1S3nppZcQGhpap775UlAkmejV71VIJN3zg22vSLqZTNL265S0/bYqFSpoIYNGK2vbFbfTLKSZtH3Way5r+/WatcM622NbZWYaWMi0KNNaoa0xk3aN3wGv17wLZdVI2vq7VQUb8wIUVzaetXRZ6CrRVaiqrGr7derafp28Xm3bDxRtpfkorLBv8/VWatr+O1DVDutsr20lqrTtsN7Ktl+ng00JcvOsus7vQKNrl4hqd8bWOh+7tr9m1AimBEWSSSR/ahYARcs9ltuNclTi/ox43j4hlFuBISKcn5+PTZs2scFXQEAAi+UtW7YYhTGJaXK/vueee1r8GhQZJmOvxYsXs0BviUgkkSyRKNAdaa/BcVcRCFIZrVOGSnQNodwegra91tsekyXtsa1S8wpIZVpIzYVQ7s5CWWauhrSy7b8DQii3k0Awb3uBIJOqIK1q++9AJdpBKLdTRKk9trXd1tsOQpnOBRJp248Hq8za6XdQpesSE2ZdCam0nC9NuSSTRLKVWfuMsVpF9/7KGGnxyIRE8caNGzkUT22ixo4di549e+KWW27hLyD1WH711VexZs0abh9F6dNUE0B9kFvDM888w+nUmzdvbtXzBQKBQCAQCATdE9OVRoIOo50mNdo6FmNqi6AVqdeFhYUsXlNSUuDo6IjZs2fjtddeg0ymj949+eSTnJZ95513oqCgACNGjGBh3dqwPb3GU089xVFlgaBZmP7xUCAQdAhiiNzdqRLfgW5PNw+mCjhKb/rnAhanJrSZ5vS70XX2VnQ+ZlVXWOECpXpT26k+/d8VqdfdtEbZylINnRnVKLd4HujiiNTrLpR6rYFMqoNKp+i2JQi8XlM663ZC6rXSvAillXZtvF6Ret2VapStJYUorrDtIjXK7ZR63ZVqn9sh9dpOWYr8AkX3rlHu5rMFSqt87Nr2HAf7bG3b/njQFrrlB1mQSaVel1XpsEgTa5L7rCNpYyUhEAgEAoFAIBAIBIIuHVEWCKEsEAgEAoFAIBAIBJ0FiWSTEsqdvQEmgtgPAoFAIBAIrky6QG2iQCBob8RxQNA6ROq1QCC4Ik+JZsLVrdsjvgMCsy7gditoX0y4I5Cgg+gKxwGRem2aCKEsuOIwN69CpRBJ3ZyqLnFiFLQv5u3UP1bQdTA3E7at3R1zc3Ec6O5IukDBrRDKpolIvRYIBAKBQCAQCAQCgaAWIqIsEAgEAoFAIBAIBJ2EiCibJkIoCwQCQTtQVaWDtiybmm3CXG4Pc6kVzC5SLKdTFaDg3EpUasqoATLMzMz5svZ1uqyqohSySsou5xRz/f/VS1Xty+r7a9+u3zBY2PvDLniafr0CgUBwBSNKlAXoAqVYdDo2JdfrLrDLOgQhlAVXHuLH3Ta7sVKHSl0ZqrSlqNSVolJbhqqqclRqS/W3acv4uv7/cr1jipmkWnyRqJPUEnr1rvP99L/+djNJ9fP4uWao1JRApy6ATp0HS8fesPa+ClWVFaiq1KBKp+FL+qClCleYy2wuKkA7iqpKLSqKElF4fiV06vwmH2duYQuplStkSndIrdwgkdvBTGKOgujlUHoPh9w+iFaGKloqK6DOvwB13jloStLabFtpXaUpe+AcdTekCkeYmcv0n4u51CT2ZdtxJb0XQWuoEt+Bbk+lGBN0e6qE+72glQihLLjiqKwyQ9UVNdhv+0inriIfOlU2dOpsvs1MqoS51Brm1ZcVJbEoTd+gv0+igFThpb/Povoxli58qX8eLQqOVJK4A3T6S15qrtPr8m2odb36djM22qhEYeyfDbZXlXsMFcUJMJNY6AUdLxY8BNaWZfLzZVYkOj0gU3pB7tCTB8eVVY1HSykCqxfcKlRqVbw+qaVDo49V5cegojAOErk9C1qJhT0kSsdGo8MVxcnIO/XtJfd/ZUURKmgpuMATAxZ2gTwxYBs0FQqXiDqPLYzdgNKUnXVEtkzpyu+f94dEVuu6/n/zWv+bS2vdx7fLWNBn7n2L15d/9k/eF5UVJdWfDX/gMCPBXL3YBk2GlVs/dEV0woaj29PUcUDQfaisFN+B7o5OZ9Y1+iib0FdVeODpEUJZILiCIBFUqS1EpaYIVVVF0GmKUKmh/wur79dBW57S4HkSuQskcmdUakuqI8QlNevUlaNSUwCFY3/IHXte9PVbeyoyl+nPDhY2/pwqbG4upxsbjW7Se9RV0Psq4kttWTrKc46joigOUqUXzOUO0JRdQGVpHMorzFkAVupUqNKq9Je6ChbH5lJLmEksOXLt1PsuXrc6/xyLSr0otmVBXFEYC215FixsA1hU6ioKUaVVw1xuWyOg+dIejhG3QVOcjOLEfxpst1TpASv3QaiiSLymDBXFSVC4RkHpMQhmksb3nF3QFF7qoylJR3n2SajzzkNTktrKvQ7oynON0WR9Jnf15IZOB9vAiZDbB0Jq5XLJ9dDkA22TtiwLZhI5zI3CXa4X7NWXZuaUTSAQCAQCgaBBjbIpCeXO3gATQQhlgaALQinRJEvNJQoWKfnn32j0cTKlP8wkVjCX2kJbnkohSSjdJkCrSoOmPB2VFXn8OHOZPWx9Ztd5Lkcaq4UzLeYWjo2+hq6iAOqCaCicolgMtYaK4kTkRzcejaX0ahLNOlUuR4EJiaWzXsjKbPlS4dwPZRn7ODJbFLccksoiWFhYoKKkRvAT1t5jofQYXmc7S9J2IvfUlxw9taRodJUOqtxTHPklIW6ItJIIdOx1K2Q27kaxTnXF+hTxAk671qmP83UzqQIu/R+BRKZEe5B9+BPjdXOZFczpdTjtvTqVnQSpIc3dvCb1XZV9quHKzMw42ixTOMJcbgNVzllY2PnDyj2K94m6IJ4FOU0ymEssYSaV8yQDLTCToqIwnp9jJrWEzNqD902VTo0qbQUq6VJXod+PlVpIFI5wG/z4FZbeLRAIBAKB4EpECGWBoAtA6cs6VToqSmOhKYtDZYW+Bpbqc6UKP1g6j4FERinB1ihO/tH4PE1pQoN1laoyGtxGgrkw8Q+ONlMEmbDxngW5XS9ILPRpySTIKZqqLU/Xp0MXxdRZB6U9y5Q+LX5vBbE/Q1Mc2+T9FM01YiaBhV0IpJZOUOefYQFmJglkYSa3D4F9yAJ+mNRcA5lUB6VWzhFeEtGqvNMoSdkKM6kVlO6DjatUug/lSLbM2qtRcysSewbRTKnPvBnmUkgtHXnpDDxHv96sx5nVcgYhAZu2/RQLZmufUbCw8WLhKlU4wVwqh05ViNyTP0LuEAxLpx7IP7uMRbJM6QFLp1BIla76qLxWBZ0qHxqtPjpvYesD58g7uda5Tmq7Vg1teQ5KU/ZCXVgBpcdAKL2GCJEs6FhEbaJAIOgCXgUiomyaCKEsEJgw7GhcpUFRym/QqWpSbJXu02Fh0ws6dRY05YnQliVCnbePI8OWDoNgbuGMssz1zX4dXUUuL7UpTlnJi7mFg1GYX4yC89/CufczzY4qa8rSoSmJg5mZFDIbinzLOepIUWGtKpdFK7lFU2owCWESqlJLF0jlDhwBNRhmSd2GcBRXahtY55RoRpXKVANs68dLU5DotbBpWuBT2rC5wgVSxaVTkE0Zep9eYxvPPKC06Zzj36Gyorg6pdwWVm5RcAiby5Hj/LPLoUrexcJYb6RWQ3nWCRReWFf3tSjiTPvNwpoFsn3YHE7H7mjoO9AVqChKrk7h10/EGOBSCVUeZM1Ifxc0jpmwbu32iAQWQVc4DlCmlSllW5nStnQmQigLrjjMzavILgpdHU15Sp3ocG0qimMgt+0NqaU7L3AYrI86qzOhKUuEpjgGZuaWHA0mIy6dpoBFqZXbOI4Yl+fsbrBOSmMmqPa3NiSSKVItsw5ksag38KJ0bv0lRWjNzOXNOqjmnHzLmD5dGzIMk8gdOCpt6dQblboKlCSth648CxIFOUR7QeEcaYyMUh2tc78nWGRzCnADSCR3/e9AR6FTF8Pae3h15Ni9wWepLc9Fpaa0eSszk8BjxBKTOMmaUxstE4AELzmNy2y8+f/Cc6v5kiYS6LtanLSDU+i5dZeNF2Q2XrCw8UZZxhGU556FtfcwTvOnz4EuzS1sOM3duNh4tFuaf1fH3EzX2ZvQ5aAyC723RQF7XlRVqiG3i4RWlcETbhK5O5dhdBXMhStRt0fChqECQcu5YoWyVYA9pDTwMHFqp0a22TqbMAa6bNrBZaA93r9CUgKdRA5ZlbxtVyxpH2sDg5FVfVS5eShObni7pUsYXAbc2sTanACE8zUzSRUqClOgyrkAM3MvqHItIbOj1OWekNqaQ5UVA01JNhSuPaH0GQCJpR20pdkoSdwHdX5inbUq3HvAKXI+pDLZJd+PPvVWyzWqieueNd4ud/BtVCR7jLgX1l51TcKqKitR6KKEKie+2gRKiipdMUqSj7KItvHtD9sAJ0gsGv+NSytVkJlVQCaxQ1sjlbb998C8nRw8zJt7LAioSUVvDOeAp5F9egvS9jd0JSdcIsbDc9AcXA7mbX0sqKqEZUUFLOX27eCgqkNJ+jloSvOgKS1AScZ5lKSdNd7vP/4elOcmo1JbwfumUqtD9PbPYeXsD9d+01CpTkd5blKtNZrBysmL16HKjeaFvvMOwYPhEXUfP9bCtifkNi6QWtmhKOkEcqO3oyj2KD9bammDXte/0+i2VurafoBYWdk+ExBabduv16qiApXSxl3tLwedpu23VadtH1Ff2ci2Vum0UOWcg7Y8jxcdXZbl83XyNJBaOUKicIDU2gHF8TuhLjkGC1tvziipyEiFRG4Np763QGpF55w2RNf2+9VSUgWlXdsfB6raq+9UO/y+qtrhOMDr7SK9t+Rmapg6IvXaNLlihbJA0Bno1EXIP/2H3mDJwoZTKWnRX9f/T0ZPzYm2WToFwWvi61zrSbWhWQe/hK48n5esfUu5VpQWQ92osb0P1bCOewEya1vIHfx4oWgzDXyK4nagoiBZnx5trv/5a8pykXP4J0iVLrD2HcSCmCJbuopSlKYcgTovHqUph+EQPh2Q6QcbqrwEVBRlIOfI783eN469Z+gdqDV6saxwDeXaWIO41pYX8H16Mygt5LYULXOhkT7Ks2NRlHwY1n4D4NjzKsisnVv82QguD+ewsSz0NOVFKIg7gJK0GNj5R8Gl1zhYOnh2q92rKStE4tavoKsoh3PYaO7tXZuMw2tgYeMEua0bYla+DIfAgdyay6nnKGQe/RvqwkxYe4ZBVZCOSo0aCkfvOkKbUDj78n2FSccglVujLDseOaf/Q3leCiztPaB0D4Vrn8lQugVBZtX2IkBwZUOCuCh2MzTF6XzMNZcpYOkaDtvg8ZA7+HO2g+E8ZRsyCeaSmklSOp9k7HwPVVXaOuUbBdGrYRs4gf0MKgriIbF0gIVdy30rBILuiBDKpokQygJBG6J3H5aiPPsMCzxKqyQoPZLQVRTrWwtZWLNwltn5wr7HpCbShykiKAOo962FEo4R13FbodxjPzfx2uR+bMWCt7KiFFVVNNAxhyonFlkHvoVt4EhY2HmjLP0kGzeRM7K5zBLaEr1ZFkWTC86u46U2nmOfhMzGrc5tads+bNb+cBt6B5QevRrcrqsogyqX3JQTOXqtzk9iIcERYurfKzH08dX39LWwcYXvpKchVbR9hFhwaWgioyTjHHJOb0FZbhKce46G99DrIVXYdMvdZ6F0QM85LyPz2DoUxB2CW9+pCJryCN+nKsyApjiXv8PFadGwD+jPwprEdEVJLkKmP8WRZomFgh9fUZqP4tQzfKwozbzA4trKLRAOQYNZiOtUJdCqSyGVWsC9/wxYOftxf2yB4HKQWbvCbdiDLHq1pTnQFKWhojgNpcn7kX9mJSorymrqFI1u+ubV7vrm3HudhDCJ7OKErShN2c/nsbyTP+v7w9v7Q1uSATOZFax9hkHh2puP5Z1D14h6CtoT8R0QtA6zKnYLunIoKiqCnZ0dhsz5WqRed9vU61JUSiyg6aTUa0oNVmWd4siyAanSjV2BKZWN+u2aSfXpxOr8OFQUJMCxzzxYOtaYUV0M+slWqotQnLgbxXFbjbdb+4+CpVMwD2KyD33Nt9n1nIyS+D1wiJiB8syzKMs8o49+kVGWRAZrnwEoit0Gma0nbPyHoaIwFSWJe/m5roNvh8ItrO4ukEoa1F7qVEUoOL8VRbE7Gmyr37TXIJEroVUVozT1uF4U51EbpRLIHXz0EW9HP1i5+nP6aFuhT73WQC2pa47UJuu+ElOvm4AG0fkX9nPaNaUHu/S6CvaB/etEl9qK9ki9llfkQC13bYfMyJrTpqogA2kHlkNTkgf7oIEoSYtGSTp5BEght3ODKr9hn+te178LqaU18uMOIuPI39CWFUBqactRaAsbZ8jt3OEScVWjLuwt3tZunnqt0GShVNL2ZmhdPfW6JccASgWuMvRYr74kwUwTQvmnfmfzPpuAcdCW5XDGE0WnaVKYMqzUeRfYpFHh3g+OEfquBB2dem0ryUOBSqRed+fUayuzDPzz66MoLCyErW3bjwvaQrds8g6Gklo7mgillTpMSrlgkvusIxERZcEVR1WVOVk5ddrrk7uvwj2SRTBFjg1GOzTzruXU6VxoC/OhU+lrwyh1Onv/UtgGXQW70MmXXD/N8FM9sV3oFFi590Z5dgxHhcnkh2b1qb5X7hRSPWgpgH3YVBbDJE7ptazce8HSOZTT5sqzYiB3DOA6ZanCnv83QLXNUqUzJAr7RoVR3qm1KE07zn14NcU1LZwkluSYHA6nvtcaI19UK12cuB8VRWm8f6w8ekFu7w0LOy9eSDQ0Bg3KSIy3VJhVmZmhqg1ERncn//w+JO/6kSP7VJOYd343yrLjYGnvCbuAKMgUpn3yrKJIWDtjae+OwIn3oyjlNEpSz7JI5teu1DYqkv3G3cXf96yT/3Kdsd/YO6Fw9NL3vha0OVUQ+/Vy4MkaiXmDM6qmNBvZB/T93KnNXEnCdu7DLrGw0bfPs3LlNn5Kr8FsTkcZVJ1FpfgOdHsqq0x/PCBSr00TIZQFVySVWjVKs05y5JUcPCndmdKWdZoS7n1LKdKUpmzlEcUn9raGxKxDeHPNjVTQFGfwYKOlr0H1X03VgBlMwkhoUm0yzfQTlHpNgphqlqkGuCwrmuuQDcgd/eEQMRMlifuRtvVtjsxRxECmdILUily07VnAqvMSOLVaH/Wq0pt4adWwsPNsMOi3cgvjhd1/izOhLkxFRUEqStNPcxSbU8BL85p8r97jHoLCJahF+0dw+ZjL5LDxCkd5Xiq05dRDuxClGef5vvy4A7D3j4Jz+Fgh8ihq5d2LF0qbTvzvywb7Uqqw5X1l59sHafuXozg9BsHTnoDMSpQTCLoeMqULPMa8rPe7qKqEpiQDFYWJvJAZHWUuyazdUJK8kz00pFYu/Bwrj/6wdK5r3igQCASmihDKgisKTUkqKvKPoDQnGmZKP0itnGEuVUBTng9L5zCO8FLP0uLErdy3VOHSC2iBUNa3aMmD3KF5adLNgQS73DFQLzSrqK2Rfu6+NPUwytKPV9eFUb2uObdDomlHmp23DZ5wydRMraoIqqyzsHQO5kivKiuaL91HPMADGXK9ltl5scC1co+AxMpBP+gpyoDSOwqqnPNssEX1aCRoaTFAkWYy+3IIu3QU3AAJaBLSqds/5ui2AUM9XFNI2jAtW9A8NGUFbDLlMXA2TzxRfa22vIhvp5pbcnumtGGFsx+s3UPEbq3Gzi8SwVc/iYK4gyiIP8z7jNKpvYYuYOOtpB3fQ1tejOCpjxrrlAWmBx2LqayETAsrCjNQUZQJ28AhsHT07exNMxnIjJFMH7P2vc9GlRZ2frB06gnboElcv5y25WnjY7Ul6bxQppXcMZQnR20CxkNioW9rRpOobE5ZUaY3p6z29miL8gOBoCsgIsqmiRDKgi5Pla4C5TknUZa+D5Wacjj7D4Fz5F2oNFeiNP0QSpK2sxgtTtoOS6ceKEs/AqXXEE6NLLywntOY5Y4hkNsHGV2Y61OefRqlqXuhKc2EmbkMVp79+STf0l6xVK9VmnaIZ9opikzmJ+ZyBb8upVBXqovhMvhuSGmbHAJQnnUG5RknoXCLgMzak3vZ0sCk6MJmlCTuhtwxmNt1aEoyjRFj26DxbIhVdH5jg9cngU1GQhl7lkLp0YfTrisrylGacghlaSegLcut83iKLFMdsxkNiFRF0JVlo6IonYV0acZpFsutwXfSc6goTGMhT+no+afrGoi5DV4Ia6/eFKeGRFZXTND26wev6VxrTSJaSil/lmSQZi2im20AmUdFr3iRJ0lkSgdOFaaBLRmumZPBmkTKkVCLgKg2rS1vezq+BIOOCUrXQF48B12H0qw4drTOOr4BZTkJLKQDJt4Pc4k4/XYEVEFJGTCa4mzo1KU8EUjHFb7ketuq6jpcHTSludWiWC+M6bhsYecOC1t3lKSdhLV3X3TniQN1XiyyD/yPS3fM5bZU28CTxySOHXpd1+A5HmNf0Xdt0Kl5so0ucw7/D+UZR/j+8qxT+v1PwtjMjDOXqD8znW/o86A6Z4VzOCxdIiC3D2j9sd3Ey2gNVkGm0Hv+ykXsW0HrEGZenYzoo9z6gxfNQGcdegeVFcU1+1OqgKNnL2rai4KkA5DZ+sDWfxzPTNNJuTz3DNT58ahUF9RZl9ypB6eMyZQesCTR7BjMdVWG2eyCmFUoyzgC+/A5LKpzj33Lrp7UCoPEbnHCNharFjaeXB8ss3ZvdJtVueeQe/SbBn2RqU6XtpHMT0qS9sJ18D0s+gh1QRIKz21kp2oauNFgoqIgkScICJcBt3Ptb+G59Q1ej1yurX0Hw9I1FMXxJKz9Oc3ayqO33nE6L45Tt639BqFKp4Mq9wL3xaS0ahbgxZlcq0zmLVxvTanXVo6cgm1h6wGld+Rln9xpkFoYswklKcd5oGrp5M/u1sWJh2r2kZM/74+K4izoygshs3WD3M6DxljQqYvZGZgv1SW8bQ7+/WDvFQ7YB7b54KO7mHlRG6jUvb+hMEHfq7c2ETdQBMnK9M28NHlQWzi3q5lXi56n03a4QO6OZl5kHqjKpRTgBFhWZCE9MYYnCdmlndyb6bjOl+ToTL89Mz6fkKIiPwSaEKKUYpqU1JbkQlOWx5FP38lPG/0SurqZF01Qpm973fg/Hd9pQpn2AXVAIONJK/c+PHmqX6g0psp43qEIsm3wFBZ5ls49ILFo3GeiPiS2uR2V3EY/USylCTh5jQiuZealVRWgPPMYihK2wFwih6VzOKzc+rU4o8tGUoBCla1JGVlxS8TSdKhyTvBEP+1bSyfyD+kNmZUX1AXnUBS/lr+HMoWrvua7+lJi6ci9rlv0et28j7IlsrD5t4dN2szrv8BgWJuQV0VJpQ7j4oSZlxDKnYwQypchlKt0KDi3HBbWPrCwD4JU4YRKnRqysrMoL8mG1Lm/UbBye5ukHSiKaxhltfYZyX0fKdqsLc2CKu881HnnoVMXwsI+gFO0yZykojgZFflxsLAPhH3YtSi6sIF7RZLQowEGieai+C08812/Ppn6S5am7GnyvXiMWQypwoGvF8X+h7L0YyyWyT30ohMF+z6Dte9QKL0HclQ476TeadsmYDTKMk6wsKYUaxa31voaMe5NbGbGolIvMos5km0QmnRJM/zmFlTHreABFQ0SZbYekNt5wjZwONcptyWS6npqTWkei2XaJlqKEg/CPmQULGzcoFUXc5somdJZn47e2D6pquJIdUXaMWhyY1BcUg4b30jY+EaxsG4LuotQzjmzFan7apzbDXW29L2jPtcRN77fptH79hDKlhXZUMnrtjbrTKHcGVzpQrlSp4E6P5VFcXluAgtkyoSwdPKDwskfLq6uUNv24GOZpiQHmtIc9kOg4ww5lWvpsjSPJwb1vg1OkPHx0ol9GWRKR0iVjg0yW0xVKHNXBA21FStkM0etqhDaUjKPJI+BAv3tKmpXpq7zPJdBd/NxnVOp937CE7iWTkFcvkSTpxIrJ54k0B9jk1kYm8vaoX93PddralmVfUhvGkbQhLLLgAdaNAFqJ8lDvgm5XmvLc5F/9kc+Dyuc+7I4puuqnFNQ5Z7iyX8SyHZBs7l0LOf4x/w8qdKTZj14bEKp7VKFGywd6XPqdelt7eZCWWmWgU0m7nq9LSgY1hITEso6HcbECqEscr8EXRaaUXXoMa/ObRJzKSwde0Lm0rdOe6iyjMMNRDLNzNLgqCzjKKd6labs5RMQpTcbUGWf4kvboKksxElAVhTEoej8Ok49U7j1MbZboigvtcGwC5naYFttAq/igQeLbhpsVGqRte9DjtQqvQexqNW34CCzqwyu2aXo8sWEMokUaiuVuedjHrwoXMPgM+Ud4/32YZNQHLeTBa9U6cQDQooUUN0xe8HSjD5FWawcIHHw0adla8ph4eDH1w0DEX3aYhYy936B8ozT3FPZxncA2gMalNJifA+ho1v0fNpmub0XlLZOkGIEiopLUJx4BKk7vuT9ToLZ1jcSFrZtL56uNErSzzW4TV9v6wJLBw+R4i7odPJjtiH72GrIrJ1h5d4D1p4RcO5zNQtcw/HLoiwJOQkHURi7iyd5ZDzZRscZJ8h9fKrFsBPMLay6XOqrwUCRyiKyD/7AZTEkgklkkeiVKOwgtbSHuYUt5I5BsLK051IjWprqJECiuPZ5pPFjrO9lt51q7vujiLNdyNUoPL+Wb3PotaDLfU71IQNRmbU3tOVZsLAL4rEMlQNYOkWw6NWV5XD/aSrzorGCY/gtyDvzHbSlaTCXWfO5TF/HXanvcS0QCNoNIZQFXQa92Uep3vBDq0KlthxVOpXxf0pHIjMRKBpG55QeA6BwiYBOlQ+timbXC/QOzfb+bM5VEL0ctefyqR6YUtE4/U5VgOKELTy4oNlshWsffX0W17lV1blU+gyrTl+rC82+S5xC69zmOeYllKYdRGVFASorSvWpVGbm3AuZBHBzWiJRrbPLoLtQFLsFhec28AmUUqllSldoilOhzk9goUwRcduQcZA7BXNdMp18qY0UqvSXnGJYlo+CmE38WEoF10cTHDmlnNK0KepM5J1a025CuS2hwZSlgzcvzn2nQ52XjKKkI0je9jlHhxx6jIVd4ODO3kyTxWfUImg2FUJbVshGXoSNVy92wrZQOqIw8Rjs/Pp19mYKuik0gSe399T3aS8vhH3QMP6/OOkoVDkJfDtdt1KnQSVzg9ugG7hne1cXWbWhyU/qTEDHaW1pDjzHPQmpwpE9BGrT3oK2LT9TbUkG1IUJnK2lLkjQG0Da+8O+x7WcrUUR7q4OR4tD5nDadeGFFdU30vfSrJZ5GZUFmMEMVCZgBpm1DzSlaTCTWMIx/GZILEwrKiq4As28ukayQLsjhLKgy1AUvw5l6ft5dpz6M5oZ6pukCu7NSylLRXFroXVwRJWlO6qsfPS9i0szq024LKBwDmP3a4lzuHG9JH4p0qvva6zvb0ytpOiETPfJlO6QKd1gZtG40VdrIVFrzcL60kdGdh2miLWxtq7mkoStfegU7h1N0XBNcTqnUFv7D4Vz/xs4Kk3toEoS9+lFvZlEHw0kUya+XuOq7Rw5Hwr3CFTkJ3Jtsio3liPIdqFXQWZzAyysHbvkQJNFs5MvNOUFyI/eAi2AjP0/w8anHwu/7mzaRd+hxtyXi5JOcgpr7TN3cepp4/Wy3EQhlAUdiq6iDGWZ55F58Hc+xhlwH3ITf1cTNrwBdUEaGwHSMVPp2QuuvsNhbXllOlVTJN19+L3IPvQj5A5+3Pe+K7lE69sFpkFdEM/CWJUTbWxHaGHjDWvvYbyQgKaJcYqOt/KVYIrnJIVLX14a0E6lDd0b0/sO1Ieqj9q6AulyaOm2vPHGG/jrr78QHR0NhUKBYcOG4a233kKPHj2Mj8nIyMATTzyBf//9F8XFxXzfs88+i9mzZxsfk5eXhwceeAB///03l6XRfR999BGsrZvng9DWCKEs6DLYBkzlep3StD2wDb4GMivXRlO15No0lJekoyQ3gcUoCV2KAlNasSrnDIriN0Niac9umkqvwRwBtnQM7rD3QfVdmpJ0FJxdwa9NQpdFq7lUH1Xm6xIW785RN/FzVNkxyD+zEha2XtVOrfqlqs6ljg1XyGzFIWIOrNxr6pYo3VDhFqYXvzkXeF+QgKbXpxQ95/43QldRwkZZZekn+JImC2hdFLUuit3O2yexsOI0P/1zabHk+mWFexhPVpgWDY/yMit72AYMhl3QUOSe2ojSjLMslrsTZTlJsLR3h7nUAim7f0Fhgt6B1jF0BPLO7WrweIrM2fr0Rml2PNcm95i1hI28JDJLmDo0eSS4Msg7uwXZx1dXZ+/UJWPfj8brCtcQeA6/1RhVNdNkoStBx2cyz6La6yptBR+Daan9fyXfpjHeRxPClD1E7fqoS4EpQ9temrIP6txz3KpRaukACddBO+vPa/S71aqgzr/AkdeMfeTtof/MXaLuqvYiqYCmKJkjz1pKU5ZYGN2y2fCSrpuZs+kXnUcvdRwgEV6cuIUjtnL7EFg69oBUSa2pxPHjSkGcC9qf7du347777sPAgQOh1WqxePFiTJw4EWfOnIFSqW8Dd9NNN6GgoABr1qyBs7Mzfv31V8ydOxeHDh1CZGQkP+aGG25Aeno6i2mNRoNbbrkFd955Jz+2MxBCWdBloF6+6vxzXMcjtaypY60NndjM5Y5QKN0gcx3UYPaa2z+ZSbhmmdKwybhLp86HY68bYGHrXW2EUgJzmdI4M08ilNtXVJob06opVbkkcQebbtB1MtiQO4VC4RrRZGoYiVNy1s499l2t28pg7TcCtoFjePuod3Jxwg4Wp9a+Q4yPIwdSSq9zGXh7o+umbSiMWc9RFfu+C6Bw7cUp6fln1kGVfY4HVZbOIbzYh03hGilywc6PXs8R6OQNz/J6LOx9WVTTRILMxh0WdhLkHv+TBTJtn3XYJP1AjXora8o5XZvEec7xv2DfYzxs/Yc2SPvrDKrMzFDVSGSFeqB6DLmRr1f4RnJqJrV86S4DoszjG5FxeFWj9xUmHYPczg3qwsw6t1NLnZL0GJ4YsQ+M5KyCrkKVqN+7IijNiIEqL7FRkUwiiY5PUit7WHtFwDG8bn/5KrRtDSeXrLQjeSdXsW+EVOkCc6nefZt9JlgMymAmtagWhvpLXqSG+0x38orOrYXRq1CaSplNeqgGl4QumXAaulfQuZfOPzb+43gyW1OWzbdXFCYh59g3fA4mMywqj5JX920mrxEqparUqbhGW1MSzUJbqnSHQ9gc6GzkfB6vH22n28qzjqI48V821LLxHQ91wXk2Ca3UlkFmTZ0vqieyqzOxSIRbe49qtMRKYLpUVpl+pkVXT73euLGuD9D3338PV1dXHD58GKNGjeLb9uzZg6VLl2LQIP34/LnnnsMHH3zAjyGhfPbsWV7PwYMHMWCAftLvk08+wdSpU/Huu+/C09MTHU3nj2gFgmagLohDwbllsPYZAyv3wc0WNjqNCmUZB1GedZKjuFTxQydHSqmWOwTBwtYHxYlbUZp+EMVJ21BRkMD1QHqnaGdOuaaTMD2fULhHwi50OjuGliTv4pMw1TITlDaWc+QrmEut4BR1O0dajdtRUYqcQ0t5IEMO29zz2FzCr8PRY0s7Nu8it2u6ja6T+zW1b7ILncwGKyRIKd0wffvr7HhJolafgm2G8qyzUHpGwn3k48Ze0MVxu9g52nXw7dUpeTX7LO/kSpQk7WfzsdrYBI6AtXf/OreRSVj24Z/ZCCz70M+wpvpkM3M2HKMaOUqHJFGee3wFCs/9B/cR5J7qwBFLU8bGuy8KLuxCwrpXYRc8HLYBgyCtbsl1pZJ/oWaQWp+w2S8bWz7Rb0SVl8bfW73xkX2zauYFgrZElZeMxE1vG/93ipjK/dKpJrkwdi/3dpfbucOp91RYU1vAdoZeN3nz+3wcJsHMx1RzCf82ZNaukNm6w8Z3ICydAvjxNKGYtuNjeI19VJ851AwUbj31Blah49GVoSg3tWQsit0ES6dQjiITCvcoWLn35fZS5nI7fVZV7fN5PddrmZWL8ZKiw7Rv6Px9Mcd9ijjT+Zn8RQpiVqJKUYmcrAxjZJrbUUkU1CAVUrkDHHvdzJlnhNw+EPCfxF4m2rKs6owtHfd1Jo8UVc5p5Jz4H5wiboW5zLbdJhUy979QvT2hPHlgXKSG69bV/1dnpQm6PKYqlIuKiurcLpfLebkU5DBOODrWTK5TOvYff/yBadOmwd7eHsuWLYNKpcKYMWP4/r179/LtBpFMjB8/nlOw9+/fj1mzZqGjEb8ugUlDJ4yytL0oSd0Jhx7zYWHnf8nn6CqKUZYdj+LMs1Dnx7Gos7D2hK3/BFg6hbDbde2TLAloSr2ycu0L+9AZHG1VU+T3+LdsiEUz9sbHFiUja98H7GwttXLhWX+KRBO07qrQq1EQ/RfKUvfDJmBcne2ivsyqvHNcJ23VYybPmtO2Wjrr3xMNHDxGPcEihQaAFFmm/sgERfNo4EHRXxLS1MaKUqatPCN5wGbjN4IjwAZIuBbF74L7iAfY0bU+ZZln4Nj7WuQeq2n/Yx82rYFI5tcmB2xzCW8T7Ut1fgo7c9eGhL7ctSdvb8q/b0DuFACPEfdwqqChH7SpQSnFZPBFZB9dye657oOuh9TKDkr3nrgS6THreWSd/BdFScf5N1KbU788CoeQYbB2D4bSjdIPvbpNpF1gmsd+dUGq8X8y6rIPGQGppQ0y9v8KK9cguPSdwe2cOmR7KnVI3/Mdt6tz6HkVt4fikpdKqp9VQ5Ubj8wD30HhWlOPx90QCtOQdfBnuA2+2XgztaYqit+DisJUXq+lgy+bLMrsvGHl0QdZ+79ivwyFa0/OAqISF1OHxCm1T6QWiZrCpDr3WTgEQWbrAyv3yMtyy29uiRRF2239a86/1pJCSIrNUZTwL8ozD/JEt6E9VqXMmjO76kMp4bTUJufY59CU6L+TqrxoWLnVzVq7HErTdqM4YUPd9yFVwsp9CHuPVGpL+FJblo3ybH25TGPIHWrOXTTWsbDxYyMwM7Pu68UhuDx8fHzq/P/CCy/gxRdfvGQLwYcffhjDhw9HRESE8XYSxvPmzYOTkxOkUimsrKywcuVKBAcHG2uYKQpdG3ociW26rzMQQllg0qjzY9jEi8RqYexqWHkMgZVb/yZnUMuyjqEy8z9IbKmvsjPUebGwC57M4tfSpVejRie2AQ1n7ukEaRd8NUdrqSaK3DarzMgIy5xdOfPPLtefsLJOGYUyQcLC2ncUco58CWu/UcbtpOiyY+8FfEIuyziGwnNrUVVZASvPgbCwdWaRTOSdWs4z7BSdKEs9Auf+NYMrqs/OPvQNR6TtekzlSG9Txi0liXt5kNWYSCZo/bVFsp7G82yK43dx+rZtyHg49BjHNXSZ+76t8xiKHlMUpSxdH3lX58YjYfWTfN05aj6UHr15/RR9pj7OpiDAyM3Z1n8gihIO8v/ug69Hzol1PCh1CB0NbVkBVPnJcBswDzJl3QFTV0NVkI6Yv14yflYeA6+FU4+RMJNIkLT9O3iPWAgrF3+UZSdwW6jknfqaT/ugQXDrO5Vrmrsmnf89E7Sc0rQzyDy0DOYWCrhEzoKtb39IFLbG4waVh5RlROuFagdY+JBozzm2ikW6fY8aAcbHX4k52Sii4NxmOPSYCGuvvqgozkRx/F6UJB+CpVMgHzNTt37AxxbyzdAUZ0JTkg0bv8GcoUNdBYoT93EvaMoIoglYVU5stQGjHjLrcuw3Fxa1JkQ7Eyq9KUk6gJLkPdCV59W5j8qQbAPHQ2ZLWU8m8Bus0qd024fM5IXQlKShOHEzjzHyTn0DjxGvXXwVhg4X1UjkDY3FKPuM0rh15TlQ+oyFhU2NwOBMMU0xm4pSF4ya52j1GVrc7kmPY8SdsLCuGVfUR24fjOLkLfrOH9q6Il/hGsVO2dRuqjzzAEpTd/BxUOE6ELZ+09B9MYHvYReNKCcnJ9fpPd2caDLVKp86dQq7dtX1PXn++ee5Rnnz5s1co7xq1SquUd65cyd696ZxoukhhLIJQjWgqvwzqChOgExJdTih1c7O3W9GUO7QA25DnuPaNK0qFyUpO1CSsh3WXiO5pkinyuX0KFo0tJSkwjvyJpjbeKI0L0UvsM//fdHX8Bz9aoNZbhKuSs+BdW4zPEZm4wGXgfehNHk3DxbqI1O6QGbjifLME7DyiKpzH4lgcrqmpaIoFWVpB5Gx831Y2PtwShmlXhNK74Gcci138Gfzr4LotZy27RwxG5qiFOSfWg5d4Biub25shr4keS8PyrIOfs8Cmw242CWcarTN+PUqCpK5LRW1upJZOcIu5KpG9w+Zwyi9+3MdoEQqgdKzDwKv/ZDrk3OOr4BTn5mQKZ154Gfp6MeX2Yf1pgtkrpJz5HeUuZ+EKi9B3xe6UsfphXYhY2Bh0479jBupZ6yNuigDWlWxvn+0VoXsY2vY7IucZMlV10DcmiUImfNOl4jqNIUqryYyV6mtQOremvdHFMYf4TRR57CxcAweYkzRLog9wEvfW79AV4QETHehUkv93M1gbgIeAZeLlHqpm5ujUqNmEy+awKLjj9+Up7g8wiF0JJsXJm3+AEr3MDj1mthkb3SzVkplMq4rz45FadopXqhO2GvsfY0Kv4KYLZyObRc8Gum7lnIU2SZgGLzGPsb1xiScOdPGwQ8VeQm8bkuXENiFjIWFrTsULiG8Hq1Gy0ZeJJwrClNQVRnCWTmlKYegzk9EzsEfuQVUZ5O84Yk6/1MnCTrXUTSZJpKV3kP1rRpNBDOa5K6H1MqNRTJBqddNQZPbBRdWwjHsBjj1uYtrmkuSt6Ms4wDMpdZcK01oyjJReG4Zm4BZOkeg8PyfnOJN4rmm/prONWUssuUOobCw9Ufh+eVcW81GnvwgKZeIXQx9v+UIVBQncSCBBLm1z3g+x9eG+i5ry3PYh4Wul2Xuh8zGF1KF2yXd0fWTUNSuyvQF5hXjem1uxoupYF6l3xYSybWF8qW4//77sXbtWuzYsQPe3jUTPrGxsfj0009ZQPfqpS+V6du3L4vkzz77DF988QXc3d2RlVXXgJGMwcgJm+7rDMyq9NNkVwyUS29nZ4chc76GtAuYLVQUneN2RGxGUamfcVQXxHC6jIVtEIoT1+ofaCaFhW0ALB30bY344KstZyGodB9WZ51mknb6obXDVJdZKw4KmtIMlCRvQ0VhHCQKZ3a/phQjOvHRYqMAdBI5NFX6iYW0HS/w5ANBUWaptRtk9FhrN/6fqdJx9Jf+pxn/RpE0//1TynfeiZ8hd+7B0WiL6v6PjZ50zHVQ5cRwLRQJaQt7P655o5S8vJN/oCztGOx7Xg1r/xHGkxvVK+efXc0z+Q7h13LaXm0obS/74JfcW5MENr1uldH7kfoz0tSlRF93VVHKadg2AcMv+b5IKNMMOA1gKXW5KbKPLmNzFRo4Zuz5igeNdkEjUZp6HDnH/jQ+jtLFSbzbBgyE3N4LckffNqmFlVaqIDOrgFpi16zHk0ik6DGJSN7vZzdDlVM3NTl03kfcQksqbfvfAdXftAfmEjP9+7mwDxlH1nAUvQYzKJy8oXD2h71/JLJPb4GuQgXf0bdAammN5J0/oDDhKLyGLoBz2Oh22b4629rWA4SqSlhWZEMlb/vJmMrKzjltFiadQNbxDfzbkylsYeUWhNL0c3Dvfw1i13/AEz/0eTv2GA6Fow+UbsGcPdLWg11Kq2sPtNqa9dJvUasq4p7ndIzIObkO6sJ07n9O0LGQ0n0LL+xGSdppdq937j21gWC2qshEibRhh4RLkXN8NUrTz3LWidIzgqPYtfcjpV4br6tLkHdqLbfho0nAsvRTfMwjg0PD8YzEdt7ptdCWF+jNIasnTh3Cp/Cxkdej1dXZBopCJm9cwucvj9GPIefIL/AcW1ekNoe27qNMYp4mDlDVDj4U9WqU2wI7SR7yVXUjwEVx6znd2XXAE1wG1Rj0W6K2kwUxy2DfYx4ULn1q1V8fQXHydsiUHpBZe6MsfS9s/KcY2z1x66vS9OruEDbGrhAkQGlCn4xJKwrOwcI+BNY+V1Ubkun9PqRyx8uuO9apC1AYuwoVRXH8v5XbUK611hQnQVdRyEZlMqU3HydJvFP9NV9q6HpZdWp6FUfAabKdTMwMl9SeU+lBGUkWqOqkY2FLUZplYNOvj3LdbEtEX0fqlkN9QmAtaVvzwcuhRKfDgBPnm73PSE5SWydKpd62bRtCQvQTgAZOnjyJPn36sAt2WFiY8fZJkybBz88PX375JZt5hYeHswt2//76UsB//vkHkydPRkpKSqeYeQmh3IFQhFhTkgytKgva8kzoyvWzJlbuw/WtgczJ4VLBUVSJzIYPqPlnv4WV+zBuWUCzn+qiC9XuizKUZe7l51s6R0Iid+D2CDQbye6X3CeX2g3ReqV1r/Pz9deN/zen92I7DOap7obej8FBMmPvyyziXKIerpOeRPCcTrWgvRhWkpI6QllTmoWCc6u5nzL3HqZ9w++ZLklIaNnUitshVWr5pMn1x1YusHQMgaVTjxYLZYIjA9X9IdX51FpHDQt7fzYLoUuKOrNLdxN9lGkQWHRhMzth2/gNg21Qw4hveeZp5Bz5nttgOPZdwHXLBnTqPGQf/A5SpRMUbr0gtbTlmjiKVJBIcuo3l0/iVC9HzzNEpktSDnMbKop01IfMzihaTJF0x/BpPBhs7iC8NP0UMvd+3eh9NAjVFOt/DySYvcY+wBGkjhLK6Xt/QlHCAf0/5hJYOviwERrtGwNUl+gaObNLCWWqabuw7l2oCzOMExvkYk04h4+FtUcPTrcmqDa7KPE4StKj9f8r7Ni8iH4jgZMego1n+9ZtC6FcA9WPV+p0UDh6GXtcZ5/+D9mnNsN7+A0oST2L7NObjY+X27vDxjMMOWe28v+ufciMqASlmRe4V7bSJQgufabAytmvywjlBq+pVSPz0J/QqYs5W0R/PqhOh6X/UQUrtx5wjpjcRkJ5DSSWNkZhXp/aQtlA9uHfIXfwgZVnb2Qf/o1LblwH3tjwvWhU0KoKWTTTeY6OeY0J5awD36I84zTkjoFw7HMtco/+Do/Rj3S6UG7X9XaQUKbvT1PnroLzK1GeeajObQ7hC2Hp2LNBFgcJ5oqieFj7TmiyG0eLuYzfV0nqDpQk1xwbFC6RsPGbUqdGmYIsmpIUaEpTeDzFhmAGkzCplf5/Gk+y4FfzxA5Fvau05XypLoiGtiwD9sHzYS5rbW/rjqUrCOXDkaEmJ5T7Hz3X7H127733cgun1atX1+mdTO+N+ipTqycSwR4eHuxgTXXKlHpNfZUpAk3O1sSUKVOQmZnJEWZDeygy9+qs9lBCKHcA1G6oOHk9tOVZkNuHQapw5UV/4CmDpWN469arU3HKMaXVkChigwp2MdbxZVWVXgAarvN9VdX38XW61P+vnzmkPrl23FJBZuUOqZU7z5bSwZNpwWC+sVYM+m1WQ1OUAHVBLCoKY6Ety4Rd8EzIbHxQURiP0tTd/H4IpecwKL1Gcho0bSe1bAAq4dBzQa31VUBbmsEzmyRsSfzWF8oGCs6tYeGqN/KgXpRqjq5SejClSFFqO19W/0+3kyu20mNAq4Ry/X1BTtblmce5Pplw7HszFC5hdYQyDaDKMk/C0jkU0mon7PTtb8K5/22chl0/zboobhuKYrfwiUzh3hfOkTWDMlovDS5poFWeHcORYws7L1jYeUOdl8D9kikqQBF0bjdCkWepHKXkhl0PqbULpApHjlDTBAAhd/DltGWldyTX07lEzbv0vqjUIffEShTF7eLaPQt7bxTFUg1VDRZ2npzWTW2b3AZd3yFCmagoyUFZ5jmUZcTwJQlLGkwZBDxB/VkdAhsanpmqUDYzq0Rx6lnE//tpo/fb+vaBlUsAf680ZQXQlBWiLCsemtKamsOgKY9wZPJyTHiaQ3cVyhQ5pRrywsRjsPHqhZK0s8g8to7vo2ORxFLJJQH0uIAJ93Ek+cT398HSwRMBE+5HQfwhWNp7QOkeiuLU0yhKPon88/rSCzqeEAonP3iPvJmd6imt3tLBC9aeYZDbunYZodxaSCjnq6VstkUlIjIbl2ZNwuWd3sTHbqeIKc0Wyum7voB96DgoXEORdfAnWDoHwTagbsbXxWgQUa7UcRSZaprJJIzeg0Ovq/lcTdFmiaUtZwxcCiGUGwrlpii8sJrTqpWew6H0HgGJRdMCod2iqZfx+8rYtwTmFnZwDL+ljnCv0rXttpZlH0Jp6lbY+M2E3K55Jmv1ofNrla6MTctqoylLQ2HsMo5gSywcOBBkWKgM0ZCBCeolXklZYFR2Yg6Z0gsSSxoHmndJoXykfw+TE8pRh2Oavc+amnj67rvvcPPN+vKG8+fP4+mnn+ba5ZKSEjbxevzxx7Fw4ULj4ynNmtK3//77bx4bzZ49Gx9//DGsrTvHGPaKFcrXv7sJFoqmU0M7YiBLuzbrzC4k7PoTHn3GwXvQ1R1SP9aadGb9AUuD8sJslGYloTQ7CSV8mcxffqWrL6wNi4svFA7unIZaG0rbzI09huyY/ciLP4nQibfw8ypKClCcHov8xNMoyU6GrUcQtOoyvk0iI2Eqg4W1PRx8w2Dv0wP2vj1Y8CYd3IC0Y9vhFjYYqsIc6DRqlOWmw2fQJBRnJKI4IwHq0gJYu3hDV6FGeUEWlM5ecPMOhNzZC0qPYL6P1k/kxZ/GydWfwykgAi6h/WHj5gtLexeYN1MAUNpxg/1WWYnCtFhknzsKa1dvuPUcBHOptM79m9+8DRKZBSpK9Wmv3lHjUJh6AUGjZ8M9fDCk1UK5orQI+79/HTKFEkUZibDzCIBrjyjkJp5FaXYayvIzYWXvyvvBwtoO/kMm4eTqr3n7Le2cUJyVzJEVhb0LRj3wDiypwTvNmjfx3U06vA1Hln0GG1cvPsnQ51eWX7c2xEDo2GvhEtwbmrIilOZmoCgzBQPm3odz21fj9KY/WJTQZ6l0dMXABQ/CwTuo6e9apQ5lBbn8WJqR/+vppgX29Oe/gpVD432pL0alqhQSnQoSW31rkZZCn1txdhp0Wv0k0ql/lqEwIwXj7n0R1q3YnkshlbZvXZJGrUJJTiaKczOhVavg4h8Ka2eqUzMz/v5zk2KRcGQX4g/vgtRCDv+oEQjoPwL2HnUdLyVdpGaNPsOK7GTI3UynVtJARXkponduREFmKs7t/qfOfT1GToa1kysOr/oRVz/1HhS2DijMTIFrQE/ILPXR5YryMlgoGhd7lTotYnZuwtG1v/DnSp91Xko8f6YVqjKoS2pafYxY+BBcg8Igkcr0x2GFFT/uUmi17TNsaI+U9rj//sTBjcvhETYAZQXZ/Ltm00VnT9i4GBYPvrR29jC+/3M71+Hcjr9h5+7Lx1j3npHwHziW9xWha2RbN7xxD0bd9RJ/ThvfvA9TFn8BmaUVH+e0mgq+frEMHG0j0VT6HufEnULioa382804ozcfrM3UJd/BQmnToRMQvN52iCjXnyxoC8wLU6C10UftL8aFbX8gcc/f6DnlVnhF1u1a0VHv/3J/BzvfW4SI2U/Awb/Gabi9RH1R+gXErPsc7n3GwjVsODJObkfm6R3QVZRDQr4oMjkkFpY8NqD/ebzH/1PKdiXyE05AU1aM4PE3wzWsZkLp2K8vQeHoAc/IiVAV5UBdmA1V9UIZMmRIyeui9VIPcZmcf2MlGXFQl+TBxi0ANh7BvFi7B0IqV6AqNxY/LFkkhHILaKlQvlK5YoXy3NdXwsqudYPklgpl2oVFqTHQlJew2KDevXRZkHSGI3rB429lAddRtEYoX4yK0gIWzCSeDQJaXZwHKydPWLv4Qenqw+L59OpPIJVbwn/4tbBQ2uPcpm8hkStgYWULpasfHPx7wc4zhAdkZ9Z8CgtrBzgFhMPeOxQyq8ZP8rRPkw5sZPOTwNFzEL3+G1go7WDt5gcbdz9YObobZw91ZHqSlQx1xgUUZachLy0epblpsHJwg427P2w9/CFT2CDzzH6oinKhLsmHpqwEcltHWDm6QenkCf9h10BubXdRoUwD0byEs8iKPojM6EOwUNrCwScU+UkxUJcUwCtyDItcOnDTNp1e+3UdY6m+cx6ER0TNSYGEsrq0CP++fjv8Bk1ExDW3oUqnQ2bMEaQc3Y68xGi49+wPn4HjkX5qL+J366NN/kOnoNe0m6EpL+XX3f7Ro3y7g18PDLzxKRxd9iGK0pPg1jMSvv3HwDmwYZ/RmC3LkZsQjaG3LGZBXVFajPM7VkOn0SD9zAGU52cjfPL1LJR5WxuJqtP3n77vquJCbHzzXr5tyMLH4Rkx6JITQ/TcuL2bUJKdivM79e+rPte+8Stkcr1AaC6V6lJItGpIbC9f1KacOoDtX9U4oi54789miQlTEsqNweI4ORYJh3ch4chuHrzoxfFw2Hv4Nvm8LiWUc1Igd236vXQW+5Z9hfz0JP4eJR6vcTae+fyncPBsG2FfO7W0slKHwvQU2Hl44/j6P6AuK8HZrXqTQ/qsdVryvNCwgLd394VbaATcQyLgFhTeqCDvDKGceeE0Tm9ezp/r6NsXN/kbpPeWee4EdJoK+A8YjYLzR7Fr+bdwDghD5Mxb+Xnq0mKU5KSzaK5Z0lGQqq/nJCY88g7vD3o9Wlf8gS0oTE9C3+mL4NN3aAOhTOeFVYuvx/SXfkBG9GEc+PUjfi2Nqq4rsdzGHoFDJsI1pA9cAsMvKZQbQ6su5+0vykzGkT8+wcAbH4dX7yFNP767C+WiNGitPS76mMR9a3Hhv98RPG4+/IZc3az1mqpQ7j33adj71NSAtqVQ1pQXczmI4dxOAYDodZ+jLDcFruEj4NFnLOQ2jvyb0Y+F1ZzZQhP8hrExXafJdXvfXlzac2r52yx8rT2CWOTSxH3akU08Vgyf9ThkiuZHEjkIkxGH4rQLKE6/gJLMeMhtneEV1AvrfvrYtCPKA3rCppGATGdRrNUh6lC0Se6zjuSKFco9wvvAxtUX9n4RsPfvDaUL9ZEzb3OhTIOL8/9+g9KcFFg5eelnziwUPHtmae8K155Dm4zodRWh3FhqJB3oSnNSUZqVyFHikqxEFKWe5/t6zXqEJwYSd69Ez2l3XXSdhmhqW2KmKoKZTA5Q6qFOi9KcNBRnxKMoIwHl+Vk1bR6q6ESnRllOKhwDIji1VFWQDbfwwTy40apKoVWVQaMug7a8lA/AGlUpi3eKVFs5uaNSo+HoMAlvA/R8ikDoZz0t+ERA+4sEOx34nQJ6wdYjoM4+oCjt7i+eZcMtmhSQ2zjAmiId7n7IjT2FwtRY+A4aj6KMJBSnJ0JbUY7IeQ/DM6JmcKQqysPeb16G38DxKExP4DT7XlMXIjP6CM7+8zsmPvUZz6waOPbX/5B0eDundI6851U4+evrr2j/pJ/ejwM/vcv/23sFYsyDb+u3tYn08/LCXKx75Q6+HjR8Ckqy01GYkQSPsP4ozctEz6vmwDW47gx3bY6t+hoXdq2vc5tbaF+O9ETOvK3FmRhVFeUwr6yApIVtnei9Z8dHI+HQdiQd280TGAbosxu+8FH4R13a9KwjhXJWXDR2/fQRpj76JixtaiZ58lMTYWXvBAsrJU9iFGWlojArDUWZ+su85LhakeOLi+OuKpQ1BZmwcPTo/G2pqsLOnz7GuT3/Gm+74e2fobCt5SnQgadiim6uf+dJjL/vBVjZ1fxGSDDnJF5A5vlTyDh/CtnxMbB19YBbCAnn3nALDofcyrpJoUz7/OeH9O13ek2YDWe/UP5eWTu7NytzhwQCHXsL0hORn5rAQtDeMwDR29bw8YSwsnfGxIffROzef/l98GSAmRkqtVpkx59lwesaFM5ZKwo7B+gKMpCdkQkLK2sMvv4huIXqDZka3f6qKsRsW40Ta3/iSV86ZvkPHAePsCioivKxdekS+PQZymK5vlCm9374z8+REX0EwSOmwW/gWCQe2obo//6CjbMHFHZO/Jj0s4cQPnEeC+/ImbfzhKLxc2lFfe6qp+agz4zbEDis8RRxXm93F8olmdBaNZ2innp0K6I3fMMT5UFj5jZ7vaYolAtTz8HWM7jBePdyhTKt9+Sy1xu9z2fwNby0NmOSfhdleekoyYzTi9yMOB5vufQYDO+B041Zga1ed24KKvOTsOKjp01S9Bl0y9HBYSYnlCP3nzXJfdaRXLFCef5b66AuSEdBwknkJ57i2juavbL36w1733DIrGzbRCgXJJ/F6ZXvwcYtEA4BfXjd1q5US9p5zdA6Qig3BtVzlednQm7tgKKMOJz4401ELXwJNu51HZk7UihfDErdPrHyUxaYCjtnBI+bxyndNOMptbSCzFLJlySgK8qK2SHaJaQfC+4TKz5pdJ2U9kyPJ6FLkyZc+03mZCGR8Ow7igdfTe2Dgz+9rY9QW1G7JmuOGqiL9fXagSOmczp2QcoF2Lj5wDmgF3z6j4OVY92TPw3m9n7zEuRKWwy/Y4leqNO6f3kfLiF94D9I3zM6M+YYTqz5BmMffJtPbrVPRDQTvO3jJ1FWkIOwifM45drOw1+/rRep06bnGV6PKMnJQEbMUS6BOLH2B0Reeye8IgY3+lyJuRkPUivKSpB0bBeOrPjSeJ9HeH949IxC0LBJyE+J40EnDXrbQyjnJcdiw7v6yHx9aB/NfZOi23KTEsrlRQX4/Sl9fU+PkVP4d0iz+LEHtvHnQamiEgs57Fw9YevmBTs3L9i6enFKta1Ly0WkEMrNg77PFAVd+97Tjd4///VvYV3r99uRQrm5kKEYZR1knCPhfJInZWibQ0dMQfDQCY2e5+IP78Cu7/WTbL79hqEgPYlFq42zOwvYgXPuNEa66feeHnOcH5OfGs/iWF1WzFFtey9/lOZlQ11SCFVJIUrzszkzx71HP5708Y4YxOs0DGFonU5+IXDyDYW5RAJthRoH//wCXoGh8Bg4scXO3/T81JP7EX/wPxSkJfBxvNekuQgaOonX1VjqNW0LHeuSDm3DhMc+QNqZgyhMS+Bjn4EtHz2JiCnXozgrFWf++QPTX/zeuB9bK5RDx85C+OQbmn4vQig3KZQzTu/F6dWfwSvqKvScfEuL9r0pCuWmaKlQphIpKqPLOX8IebFH9DeamaP/zW9yunNpbgpKMhNQkpUAn0HTYe3adiUu7eGBQEL5x+euN0nRJ4SyadNtapQrSvJRkHSaRXNh0hlY2rnAZ8gMOPg3Pbvc3NRrihYWpZ3nVGtaN9VU2Hn3gO/Qazs05bqzhXJtcuOO49SK97g+Jfya+7ndDEUzpXIlXxqEWWcKZRqA7Vn6GAtbzgKwoDoafe2LXuQCJdkpLFht3Pz4+5SXcAYO/uEsmFMO/8f1yf5Dp8FvyBQW2wSJlIIUiq7TT0sfTU4/uRs5cSfh5N9Lb4pWWcmChtMjya+1qpKjxrRNBoJHz0LsrjVwDoiARC7nDImgkdc0KrZrQ9tLgzq5VU30OPvCSZze8DPGPPAWtBUq/PfBo4iccy9cgiKaFL0UhU49vgf9Zt8Ntx79LimUL0ZheiJ2ff0qek1ewBGaxoRybWi/ULbG3p/eR+qphuZiEx55F44+QW0ulPf//hku7K1bM1qb4KETMfT6+2EKQpmFwIpvkXLqEKf4+/QZDCefIEhkMo4UKx1c4ODlzyluVBvZVgih3DyKczLwx3O317lt5uIP4ezbuPGNKQrl+lAKd27iBRxY8S0fY4YsuI8nXepTXpSP9e88hplL/oes2NPIjD2NuANbUZqXhRnPL+Xylgt7NuH0llV8zKPflVevAbD39GfvAm5nV1mJPxffyKUlBmjCrOeY6bC0trvo77826pxUSBwuL6uAJg3puGrrVlOvX18oUzT+6F9foiA1HsNufgoKO0ec2vgbZ9QMufEx4+OSjuzAgV8/NP4fMHgCIq+9gycsWyuUffqPQf+5TR+XhFBuXCiXZCVj/9fPwCmoL/rNa3nbrStJKGdF70X22T3s9aIqyKxzH2Vmhky8jYMgHUF3FcrHhoabXES5394zJrnPOpL2d5YyEageluonaGEDppSzOLfxS7iFj4CFjRPXEpOIo0gzLRZWdrCwcWzWLDSJKge/CF4ISs3NOXcAZ1a9B6/+U2Aus+BBBYlFSgG3bIO6SVPHzjsUvkOvQdLeNTi5XB9daAyfgZM41ckgTC8X2vcV2YlsKa90D+TIblPQYG30o1+wsOXaGa6pUVfX1KhZvCpdvGFp68TfA6pRJjOVrJhDOPGX3kWY1k/iOWD4Ncb1kuB2CqwrQF179OfIdUHyueoWVebGlEEpHRjNzWBp6whbN1+UF+Qg8eBm+A+eyKneqcd38ffH1t3/kiKZqJ1ebYDqk2nASZFlqsNzDe7LIpl+C5XkHFmlj8gYIsJ06dYzCumnD+DCzjVGodxa7Dz8MOiGR7B96RJYObheNA2bMGzLiFuf5kgSDVTTzx7G2c0r+P5/P3jc+Ng5by/jwSmZkl2OgR/VLTYlkic98jYcvAONRj6dDUXYtix9DbZunpjy6BtQOpLTZ9dIib7SobT2hKN7cHDl98bbhs67C73GTkdnk3HuJHKT42BL2QWunmwa1pLvNKVPuwT0wMQHX8f5Pf9g4wdPo9+06znCXBuNupwNrai+f8e3b8HOwxcD59wBZ/8eUNjY4/j6XzmtO2zMdJTm56DvtOv59toCQVVSxMes/rNuQ+jIqR1ihNkUlO59Mcqp7OWHd1jkj7nvNeQlnsPub1+HpY0D+s28rc5jfaNG8fEwds9GTr+O3/8vQkZeDVv3uqZ5LUFVWONSL2gITUc3RmluOl8q7Fvn/n4lkbxvNcrzM/g6mWMp7N1g4xEEv2HXsrdLl6cLnB7NJGa8mApmVaazLZ1JtxHKtSGRQmnYQeNuQsy6z2Bp5wqn0IHsqEcOfJSmTWZVUksl3HuPgXOPIc0egFMkjFz5bNwDETh2IZt8kfjKOKHvb0n0u/5FPhDR7BxFXK9EpBYKBIyYwwvtS6oRpvesjypbsUCL37EMyQc38RI8dj58h0xtVh05iWFygC7Py0BZXgane5dVLywo7exQkpcFtVoNvyHT2F06K+YwG3/ZeQbWWRenHSuk7DTdrPclt4RnnxGcfp2wZy2nRtNCpmFNmYAZICHs3quh4Ur9qLrC3hk9J8zn672vuR3hU25CfvI5Y8S6td95igxTLTQJYEqnpu/qhZ1/4/T6n1i8kzDtN+tOTuemaLK6uIDT+TybSJduLuWFeVyDnHpSb1pE670YJbmZSD9zGOYyGSwsrbiGj6KjLgFhsPfwx96f3qvz+OVP1tSU9Zm2EGFXXas3T2thhI7ev6WtA6evGyDHW6qN3PTBk/z/5Mffg4tfCDoDgzlTUXY6/v30JQQNGo2+U+eblEBmY8PsdE7zNgk6OEpbXlyIP5fUpNkSHj36mIRIJswkUiSdOICMcyf0/5ubcyo1iWbyAzAIaErJt3F2a1Scckp57Gmknj7EKc50zCVXdYq4kkM3oVWV87HeL3I4pjz2Lg6v+hYHln3B92lU5Xw55fF3Yefm3fS2Vn+te4yefnnf8aqWR6dI+O785g0W6oZJTXL6J3pNnMe+FSTwyZuBJjbJhTx8wlw+Vh345QNOq+5zzc1w7xnV6LaTUI6afRcvbUH2hRMoyU6D0tnDpI4HpoJZE98B154DoHB0R8rhfxEwYhYbc3ZXKKX6iqYLZOwITJMrViif/usdNjNy7z0WHn0bt/l3Cu4Px+D+yLtwmG3oa8+a0WCgOO08Mk5uQ9LelXAOGcCp2vVTTyjqWJabxoK4MCUGRann2MSJ6jtcwobCKWQAOxjbeoZwBJs49uuLfCmRW2HovZ/jSoccEGmpT8S1j3Cf4NOrP8eFrb/zctXinxtdB6UDnVr9OYrSYhsc8CjiS5HfPuMWQFWQhdSdf1QPFsyQG3cSace38+P8h01vIJRbS8+JN8Krz0js/uIp/t/BV2+E1R6QgHOuF6G+GIa0ZQn1gq41aKIIMkWWVz99nfE2G1dvHgyT6RmlFR5f9RW7svYcfx28+w6/rN65RVkpOLX+Z+TGR8Orz1B49xuO4swUyGsZTjWWTkx1zUdXfQO5tS0b+Zz65w9oykqhKimAg5f+87v6+S8hlclZNGee1w/6CUNEnCtKKltmCkPpypRNUBsSyZa0P8ZcA9egXnC8SNurtmTDB4tRkJ6M0GETEDVjIU5tXolDf33HNZkkSgbMuhkhQ69ql9dOPXME/3zyAl+PmDibnY/JxIkihMXZGXBw8+LvVdLJg5xuSvWn5IxM6d3ZCedxcvNf3MqIHIOpLdHEe5fAt0+NYVFHUqXVdNhrkflV7XrkBW98D2U7tBK7HNyCwjDlkde41njdO0/whGXE+FmwcfXgz7YoKw3p0cd5soMyOUj4kmg2iGf6fcXs3Mi1y5QCHTJ8EhKP7MKRNT+yoFTaO3EKNf1mZNXZL87+oZj40Bu8Pno+OdjT5SUFncGxW6dtNOpNdc3r3nyAr89/b3mTkXEyR2wJh1d8iQu7NzS4naLFfv1Hc300pVOTBwN5V1g5uLCPAhmPnduxBmFXzcaQmx7vsAh48MjpPOG5+d0H+f/+8x+ET+SoDnntLkNl498BmuSJmHEfDn73PBL2rEHohBs7fNMEHYNZVdubxLVHeWNLShzbG1Pals7kihXKVAPr6B+F8nx9ag0JV3L3NTOva1zUc9p93OeYBtZUw5wdvQ/OoQNhLpHh3KYv4TN4Bj8uN/YI3CJGsVCmdaUf/w8FyWfY6ZnMl2y9e8ApKAoBoxfwYzSqEsRt/RkJO/9ksUEz7w4BffnkSW2V/IbN7rR9Y0rIre0RdcNiRG/8DqlHtnCEWOFQ09/VALUHKMtJ47JfB79wbveUF3+KW1WR4zQt1GIqdMJCOLl6IPnEThRmp/OJ0M47GPkJZ2Dn2bYihxypJ7/4uz7qYCKz+GufrevY6eAbigBuRdKXo6U0MO47606uV3bwCYbSwZWdsal/cll+NvrPe4BbZdH39XKhVlPZF06x43XomBnN2kdknnNi3c/ci1pVXIAhNz6C7Lgz2P2dfrY7L/kCR3QoFZLSr8ncy0C/a25GcL0U0JZCUTUy9KoNiWOKnpHxELn4tgcluVkcaSPhSWKFUmSJE5v+RPTODZzJQPXGY+94mgUBpcy2NSRI/n7zUTYHM5CXFIuCtEQcXPENAvqPxNlta9mpmYQTiSnqLU2EDp8ITTm1wanCvFe+RlZ8DLZ8+QbfR67b3SHd2iCS7d19eIKDHMdbvb6MFKSfO8nZGLEHt7OwlMpkbKJDwnPArEWXJcQcvQMQMmwCf+/ObFvLkx3hY6dj0Jzb6tQjU9S0OCudv5PUco/KE/rPvAkl+Xk4uWkZ1woHDhqHAbNv56yr3KQL/FuJ3f8fHH1qJiW5b3E948FLYdaEUE45dRDbv3q1zmN/f2wOrv9w1WUfhymbhURy7ynXI3xCzYRiY1CNMk0GUZYOiWZyyO97zc2waKLVYXsRcfUiXmgMs++713H49495MUCZTkNvfxHWLh3vl9IVoA4UToF9kHxwIwJHXcsZbwJBZ0D+Qu3lMdQaTGlbOpMr1sxrwPg5cA8fivP/fM0z0/RHkV4SrYFX3cSitj7px7cgftsvdW6jdGH3PuPgO3i68QBKgjt268/cp60sL41vo9ZQfeY9axIHWVMw82ouhrTjnNjjOP7HO3Xus/cNg9+QqXAM7MO1ceRGTZ8HDYZSjmxB7PY/2WWa0rapxjlp/3pkRR9AyJCJyEmMhszeHY5+YdwTmCL/foMmX1abAUMf5bamLQ3NqJ8ytYYqSk9Edsxh7pFcHzuvQPSf+wAO/f4h12WT6CSTHUoT9O43gsV1UwPO+mZeJOx2fvkSTxbYuHjB2tUTUgtLvVNtcQHXDhdnpaD/dfewaU1TGMy8CjOSsfHtB2Ht7MHrHHc/1eF6c2344b++QvqZQ/CNGomQEVOx8e2H0HPsTB4g9plWNxJQqSqFRKeCxNblsvsm1x5wXvvyd5DK2mZ+sbw6BT079gz2/f4Z1xkbXKqDBo2pNuCqgmdYJLfkaW++u2f6RScQ6Lsy49mPuB4y88JZhA4bj7zUBI5AR05b0OA59LlQf+Z9y7+Be3A4hlx3R512SB3SRzk7GXK3tnNjbQxVaTF+fmyBccJg5A33t6rrgcHMi5yyj/z9C4tY+txH3vyI/vin1XDGxal//+K2SDRpYojaXg70Ge3/8ytcdfdzcParMRqjiRASv5bWddNRd3z/ATthD5l/H1wC2jaTpnaNMrWJWvZUw+8VQWndU5/8gB3wyTjsr+dvxuD597MTd31UGfGQujTvO7Dmpds5nXre+ysv+djGXK8vl9aYedWGItzrX7oFvabcCPewAUg89B8u7FjD91392jJ02/ZQhSnQ2nhddL/t/PAe9lbpfe0DzTatupLMvEyJdjHzyo3Fj0sWmaQxlUG3nBrT2+TMvCK2nTTJfdaRXLER5eAJN0OutINDUCTPvBtqX6nf77kNX6Ag4RTceo+G0tmHBzU0qKNIMbn7FafHou+CF7hJOYtsM0qHqBn4kOAOmXArX0/avwZJe/5iEwQSY/Wh2XCqkSKBnhW9D+V5aRytdg0fzs7btSFHbnpc/Ubx3QHnoL6cdk2D8exzh5C0fwMKks7yYqDPdY/CJSSK9zPVNWupVlmnxdl1X/FnTNFoojDtAhz9e8E9cgJHR7tbhN41pB8vPcfN4tu4L2lqHM5t/QvZ509wWh5FbCmdeewj7yFu93qOKtN9lHpNURJKu/buOwK2Hn4XjdLE/LcSltb23P6EauSoNo9ErdLRjfuJuob0wbBbnm6267Kduw9mvfoTt3+K3fsPNrz1AHpNmg+JVAr/AaPR9+qFuLB7I/779Dn+zHtPbbolSmuhtjMzXvgKq1/S94U2QOKfhLyTT9PtzlrCsbU/48Kef/izmHDfi/Ds2RedyS1L/8buXz7lPstkpESprQb6TpnLqbcUQVTa2MPJWx8tdA3owUtj0PcmoP8IbPnqTY6K0iTV6EUP40qB0o+/vU+fcWQgZPDYy24NSPWuZHR11d3Pwiu84YRunylzsenD53Bi45/oP0PfFuxysHP35kkFa8ea8xGlZv/zyRL+jVGqNHk+UIq2e48+8I4YgJTThyFXtm/klI4Z9Duk4wmdf82oHtpcwqZftdvQUXr49R+sbJOWjCSSPXsNRFclbs9GvgwZo+9lHTHtJoSOm431Ly7itoER02/jchtBXSgLIGT8DTi/+Rfs+vgB7nIROHoOnAL7dmqrT8HFoTF70r5VqGBPIWvO1izNToKmvBi2nqF8XKuq0kGrKoOkONXkd6cw8zJNrlihTGJU71Rcc0IlqNdb3wVLkHJwHWI3fwd1US5sPIP1LZ5S9NE3l7BhsGymC6Lv4Gsgt3FC3LZfcOjrxyEhsypqNSS34uhyUfp56NTlsLR3Y2fF/AR9SqXC0aOOUM6OOYCY9Z/DM2pStxTKBmgA5N5rGC8ETWCUZqfgxIoPceLP9zH2qe958Db0rrf5fooyq0sLYWnnjIyTu2DnHQJrKwXMyCRN1vnR/faA9klJdiqsnT2bPIlXlJdAU6nRTxDxRI8EJVlp6D39FgQOn8pRBo+IwRwxonpkwt4rkAdYBSmxHLnd9/0bCBg6CSFj9IK7vmCmiHH0luVw9OuBs/8u40EsvR5tk6o4n0UzLZQenZ98HsNve457oF4KQ4/kwMHjkU2mQacOcP0wpWT3nnojIibPZ8MuEq1Nwpva+gwIShP16TsUycf31rl9/dsPof+sWxE+Tj8QbS05idQ+TE/I0ImdLpINUHp1VuwZ5KbE86RVWWEenNm8zAxuwb2avR5K281PS8LZHes5IkkR8sGz67r/dgjtVBJB9dm7ftE73xNX3bUYAZH6Y9bl4hoYxr+h+qnbFL0/tvZX/u70n7kIIcP0PdEvFwdPP07D3vDBM/CLHMbivLwwn+uMyV+DRDKhLitBzI4NnIJN2R6rX7nHuI6oGYvQa3zblxM1N137YmKmOQaRtR2pqX0TDbC7okCK/vePBr4SdIwPGTsb57euwPaP9D3ilc6eGPtITYuqK55mfAd8B02Be8QIJO5bi6R963B8md400jGwN3pOue2yzDQF7QON21MPrmv0vtzzh6oNecfyJK1zr5HA322fVdGWGMZPpoKZWdfJQmhPuk0f5abQqkpRlHZO71ycncitoch4q35/5Yv1UTZABkrainLo1GXQqstYINMlzW4pXX1h6xGMjJPbkbhnBQLH3ACXHno34fQTWxG75Qe49ByKHlPu6pap182BHMmlCutL1qE1t49yV029Tju1D0d+e9/4v1vYAAQMmwZH3x4cnSQH1CO/f8B13ZzlUFnFt/eZcTu7XScf2YZT635Ev2vvhmfvIcb9SWI2ZssKZMYcQZ8ZtyE3/iyyzh3nlE9KOw4aMRWhI6YZD+QUUcu6cJJLEXjm1tAb2nCp08E1tC+yzp/gwdvJdT+i7zW3wM7TH9ZOHnXqoCn1uiw/h52uabKE6pvJPMcAtYbaUV2XOOC6exA0dOJF91Fr+yjXr1dc/XJdB2Ni9G1Pw7ff5Ymifz99Hhkxx/l6wIDRGHNbTbsrU4BOC2e3r8PJf1bw52Lv4QvfvoNZLHsEhbN5V/30YzKzyk44x9HQnKRYTiX37zsEvSfMuqy2Xa1+D5WV0BRkwsLx8nro1kZdWoJ9f36JzNiz3LM6/sguDJhxE/pOmnPZAxytTseR2n2/fwG/yKEshikNnyL7R9f9xlHePhPncHo39cpu631FdeVpZ44g9cxRFsPuIREsls/t/gejbnkMgQNGGh9fodZyi7L4g9twZLW+DdbCT/QpvqaWctqSPsp0rCMX/ciZtyF01NVdKvWaXMfXLlmIAQse5hKaOvdpK42fc/qpfTyRSu0Hu03qdUkmSnUy5CWcZm+TvIRTqCi5ePcFwtrVl31QDASPmw8Hv17sh2KhsEYl9AGZtkakXrfse2Uw1aWWViSKaSx+7Jcl3A+6z4IXOEDWFfoonxnfDzYyE0q91ugQvvmYSe6zjuSKjSg3F5pxcgyMbJN10Q/UgmpgrWw5JcQws1uWl47k/auRsGMZP4ZmjeiHTCQfWIvE3cs5khw4uvF6LIEeOjkJKPIbxC2jSnLSkHRwMzLPHuLFgIXSDoNvfpZNf+qz6um5xnYplGadn3IBHmEDELNlOTu5UvS49/Sbsfe71zmVmtplUA9lEs2JB7YgYMAYo1kNCd3mRIj9B44zplKeWPsDr5cYfutieIQPMD7u0IovuC2UAZfAcPgPGgefvsPgEdafXysr9jSSju26pFBuC6yd3DDr5W+xcom+zIIYNPeeyxbJaWePGEUy4XGZParbg0qtFgVpSQjsP5LFkqWNLUrzc3F6y2ps//Yd2Di5sxM2RZ0zL5zhemsyGPONGIh+U+ZxFLq+mO7KUOp4ypmjOL93c50aXkpX7jelroFea1pK0XrP7tzINckjFj0Mj9DeKMhIxvF1v/MERO+JszFy0SOQ1ko5NkD1wmtefxiTH3mdn9caSOSTIzYtkdNvYNOutOhjbCo38YGXGmQ80G/fys4RoSMms1B2DQrHlUDc3n/50sbFRNqbtSLtmiYnL/Y5e/Zpm8wHU4cm+za/pveucHJyQm5ubp37yRDUMSACjv4RnGpdlBGPvLiTLKSdQyIROEo/+cUt79JicfKvj3Dhv9+bPa4Mu/oeOAbUDbgI2gcaUyuda0oKaJwdtegN5MUdQ8zaT9F7/vNdQuyYXOp1pelsS2fS7SPKzaU5EWUDiXtXIXn/Gk61pjrn0uxkeA+cyhFlnbYCMktrKF18kLBzGVIOrYff8NnwGdR2fTav1IhybQpTL0BqaQWlk2erIspUt0uGMJeaDabPK+fCcWhKi9h5mKDe1249B7RZiszlmHlRVDd+73qOJqed3IP4Pevh1XcEIuc+CKm04Xqp/pgGuWS4Rde3f/IUvw+qY6Oa5NpRXorqFmfrW6GQUZe9dxBklxlVL8lJx8Y37+Pr/oOugqNvKBx9g+Hg4cevnXr6IHZ98zrfP2DuvciMOcbtnzx7DeIsWhKYXhED0f8S/UfbIqJsgF5zy+dLjP9HTJqLyKtb3kaEXLMpfXXVSzVR6umLP+VorVTadU5IZpWVyEuNR8aFMyzcqH2Uvbu3SaWMXW5EmRzI/1n6CqxsHZB4fB//zqgXsn/UMJzZupbNZqg2O2TIWK7bbgn0HTi1eRU///z+rUg9ewwBUcMQOnIyR6mpTdPRdb8iLfo41wX3HDWZf68XS3Nf9szN7FZOadOjbn4UlhdpwdYYBrd1SsNuDlptTTQ1+eQBbPtSn+3RZ8p89J40r9Wu+Z0ZUSZDw7Wv3sUlKJMeq9urvStElFOO7cKh3/Tp1MPvWAKX4D4NIsptjalHlJMObGRPGVcPL0hcQy47+kueM7mxx3Fi+Qf8f8iEm1FRWsDRaXVJPmcmVpTkcxahAeeQ/nANGwbHwL51ausv+jrCzAttRcqBtchPPInwcfPx05KFJh1Rjp4SZXIR5Z4bjpjkPutIhFBuY6FMAjnj9C6oC7PQ69rHuYejrVdoAzdsSvnet/Q+ePWfjIBR89GWdAehvOX1G+ESOgB95jzcKqF84PsX+aTmHNwPLiGRcPAPN9azUxpPfuJZRG/8HqXUkqoRRj7wAZROHp0ulFVFedj81t183c4rCL4DroJP1BhOtW5MKNdHW6Hi9M7m9kuu7XrNbdLOHkbysd2QK23ZndrGzYf7MRuMfqiOOe3UfnhGDObIpOF51J84P/kC8pIu8GVJbgbsPf3g6BMCe09/bgmVduYgeo6dBf8BY5B8fA/iD25l0T7rlR8vuZ1tKZQN/PfFS0g/e4TrkyOvofY8zT+hadTl+P3xecb/e4yahrAx17CbNNGVhLLERFqhtZdQPr7xT5ze+jfXZ9dm8gMvwbtX/8vervije9hlmupvgwePReDAUbCwtDK6Xm/75h3+jYy46eFmu1pTKvj6d580/k+txCgjwsU/FL2umsE1/o1BHQH2/fEFp1cbGH3rE7xNzRXKhnZWW798FcXV2SLE8Jse5bKCloiTzhTK9Bv965nrjf+PvuuFi2bMmJpQ5uery7H5nQfZI4KY9vJPbMbWXYWyAbOSLOisWt4BoSlOr/4cGaf3IOzqe+EaNqTB/ZQxGLv1V2Se2QNdRbnxdnu/Xug796luIZQzTu1AfvxxlOelG7vD9J67GHZeoW3uek3Hy9KcFBSnX0BZTgpkChsOUtFCGXanlr+FHiNnYeVnz5uk6BNC+QoTyqmpqXjqqaewYcMGlJWVITg4GN999x0GDNCnUNLqXnjhBXz11VcoKCjA8OHDsXTpUoSEkCGMnr179+Kee+7h+59//nncdluNyQudVOVyOWJiYuDnVzO7PXPmTNjb2+P77/X1UG1Vo9yWQpnSqKkPc+85T+LAV4/wj9eAtVsAgifcAqWTNwpTotlMjPo2977uGdh5N+4a21q6i1CujXNofwSNmgNrVx+YqQpgRiJZprioQDy/5TekHN7MEWKKhtn79OR2U1nRBznaXJpT1yXR2sUbQ257mSPZnb0PsmKOIm73WhSmxcE5uA98+o9lp+s6622GUG4ptYXy+R1/49SGXxA56w5uV1OcmYyizBQUZepNtqyd3VGcnc4p1DkJ0eg95Qb4DRzX6MC5SlvBraRyk85zr+S8pPMcfTZw1YNvwNm/J2cCNMdBu0pdphfK1o5t9t7zUuJw9r9VSDi8nf+PnH4TIibOafbzj637BSc3/sHXb/x4dZ39IIRyOwnl/AxYNJJ1Up/CzFT8+ULDLIVrn/+U3b7p+FC7l+/lsH/Ft1DY2KHPxLrmVwahTHXe275+G7Nf+qLZvZKpfnnXjx/y+zBAk1XkoD3vje/YGbqpaPQP9zU0ppv1wufcD7q5Qrk21Od46/9eqTMpNOi6uzpPKGcnQ+LY/B7CNGm34a0HjeVRQxc+Ct/ImvpsUxbKBugY/N8Hj2LsQ+/CzsOv2wtl8+IMaJVt1wFj16cPcXov+dn0nFK3O0JTbH/nJrj0HILw6fd2eaFMkXWKnKuLc/l34uDfsOTj1Ip3eGybuOcvWFg7sGdP+MxHmjXevZRQrigrQkl6LAvj4oxYztokA14b9yAoXXyhUZVAXZgDdXEO1EU5cAoeAO+eUfjx+RtNWijHTOtvchHlHusOm+Q+60halLafn5/Pwnfs2LEslF1cXHD+/Hk4ONSchN9++218/PHH+OGHHxAQEMBCeNKkSThz5gwsLfWz4ySMX3nlFXh4eOCmm27CxIkT4eNTc1KmAeSSJUt4HV2F1CObkB29FxFznmJDsGEPfo3UwxtRlBrDLalKMuNx7Oea9E3C3rcXrN3822wbKBJKLt6askLkJZyEc8gANqO4EqFWUuX5WUg7sR1px7Yh59xhjvAGu87n1FBcYv5HU17CKdUkiKlfc++Z9yI3/hRKMpPgHNQH2eePwityLAJGzDS6XbaXmVdrIJGcE3sSk5f8aEwJ72gCh07kiDK5WkdeW6+VUmkRO15TdJlcrCmCfPjPpUg4tBU2rl5wDgiDX/8xxsdTxMs5oCcvNesoRn5KLM7+9xdfJ5rbZorn/2pNVLUFjt6BiJp5i1EoH/37R47cN9cB2yCS9dtXCTMz0/k+XalUVYudS5GVcK7BbRHjZ3K6vD7jou0mncjsbMBF2jpRFJhSoM/v2YweIyc3a52q4kJOvQ4eehUu7N3Ct1HPZTIFIxEdvWMDbJzd0XfqPChruWmTG/6Y259kYU5toihtm2qiT2xYxgZercE7YiAbe9FERfSOdVxa0JlQVldLsHZyx3VvL+P+zJs/fBJ7f3qfl8hZtyN42KRqd3/Tzqqg4+7MN//s7M0wHSpb9h2oT3lhDgqSo1GQFMPjDepv7xV5FQLH1GQgXAxD0MSzn96vo6tAgjjr7G6OCquL81gY0xiTTGpJ/GpKC7mDi0EolxdkIvXQBqgKs7lNk71/BOS2Lhh42zuXvy1aDbJj9iH92GZ+XRuPIFh7BMFnyCweR0soi/AiVOXFwdShIYFp1Sh39hZ0QaH81ltvsaClCLIBEsO1B6cffvghnnvuOcyYoe8v+eOPP8LNzQ2rVq3C/Pn6FOPS0lJERUXB1dWVRXZxcU09B3H//ffj/fffxxNPPIGIiAh0BWjWioooY//7kVsWRVz7OLwHTAFoqT7gnP/nG9h6BsM5ZCCL6baEejDHrFsKrbq0Tk9dEoLR65Zyb+g+857l1HCHgD7wimp/M6T2RuHgiqDR1/FyKeJ2rULstroDB5fQ/ug5aRF0Og2KMxJQnp+JlKP/wSmwNwbe/CKsHJrXmqQjod9Y4v5N3B5q2B0vd5pINhhoUO0kRefrQ6nY8oCa77iduy/G3vcaUk7sRcbZw4jZuooHmw4+IexunX7qELxqOXDr12HDqY/NMQzrKCgyN+e1H7D82UX8/+GV36IoKxUDrr2dL6llVfyh7Ug9fQhTHn+PTa1IsPz2WM13dNStT7JAEZgOtXtGG6A6YlqufvwtuLegNdYlaxxT4uHsF3zRxzl4+aEkV9+WqTnQ48lzwCCSiauffA/bvnkbx7P+QK/xM1GYmYI1rz2EkOET2ByMjMMMLcHs3Lyx+rUH8febj2LQnNsRf3gXu24rHVrfEocmF8LGtJ33Rmf81qcv+YonS7b97yUcXfk1L63B3isA/oPGw4tKUGwdTF5od2doErM0O5UdsjNO7eKxQX16XXMP3COGNzv1nIIlhK2Hvv98V4CitOc2fcWCmII6Np4hkFs7Qm7rxKnNZbkpOPrT83DrNYINa/W1wKd4bEkdXHgdOcmw86mZ/G4NFD3OPLEVGae2ccSYOsbQtojfkMAkhfKaNWs4Onzddddh+/bt8PLywr333os77tBHk+Lj45GRkYHx42v6O1I6weDBgznd2iCUKVocFhYGrVbLKdjh4XUdMylqfe7cOTz99NNYu3YtugL0482NPYLodZ/zDPauD27m26l/8oBb3uIUurZo/VQfqsuIWfe5sQbEMSgSebFH+fqFzT/w7LdhNvP8P1+zGKReztryErj2Gg6phVW3cJMOGH4NXEP7oyD5HApSzqE4M4knNHZ+8iD3lJRbO0Dh6IYBC59t1CDMFCBDoVNrvuZ06+F3vQqFfef2dYzZvhpppw/A3jOgjsv7xQbOPv2GwzU4AklHdyIj+ijO/PsnyvKzebZ41ms/d0obodYMoA2tcDRqFf5+7T78eegm2Lp6Ii851vi47V+/AdfgXmywVBu/yLqtWwSdj1ZdM9lDbt4ufiE4tWU1wkZPY9OttiK/WpAf37QCfn0Hw9m3oWDmSdU9/2LsnYubbTxGGRdDr7+PnaqpnVfPkVPg6O2PniMn4+S/f3G9MvWypvdzfMMyrFhyJ4YuuBcB/fXfRYWt3j+AOLD8a0Rdc2OT6drdDcqImfjIO1zDfH7nOpxc/wvfHjhkIiRyS26DR58ZL1q61PCxmv7XVahRlJXCZSXHVn7FiwFrZw8Ej7waQcMmi0F/CynJTsHe/+lrfe28Q+ASEgWX0Cgonb2a3JcVpYWI+ecnZJ3dZ7zNXCLj0isKKNA5iAy56mPjHsDu2FaO7rBy8uDXkFk2/zxF600+sF7/etU+KKYMncupNDDt2BbuxOLcY3Cj+5T2nYXSHrH//QSpXAnvgdM4wl5ekMXp0BScofLCoLF1y+T0vxNNdRvIQmjKilBRpr+kMRmlp0vkSpTlpiLt6D/IizsK59DB6D3nGU6vvpKh8sb2KHFsLaa0LV2mRtmQOv3oo4+yWD548CAeeughfPHFF1i0aBH27NnDIjctLY3Tqg3MnTuXf2h//FGTekhR5YqKijpp27xBZmZYuXIlQkND0adPH2zduhUjR47sEjXKBkoyE3Ds1xfh0fcqTg+R2zixkKVebjbubTOjSE6LiXtWslkCHWzIFMx/5HUc5YMZjGK5MCWGU8AH3PYOu3Bnnd3Ls5t5scf4cZSCTJFvinRT83bqicuXmgq+TttPC30uqvx0PqnIbdqu7vNyjKyawrwsD7BQ0AjniuqjTP2Rozf9imF3vARJE+Y8HVmjTK2BKJq894d30GPMjDqtnpoD1SFTH2ZKkz/z7zJOd7wYFK3dtvQFVJQVY9ardHK+iBOwqhQSnQoS27YzcGnq5EGGSGTsRRMBOQnnsO/3z9gISl1S2OC5hihzfUSNcttDqb8V2cmQu/k1q0XTL0/cwNe9wiO5lzBxy6cr26w2maDfS9zh3SjJy8LZ7esRdfX1LGbp+GqoUaaB5P5lXyL+yG5OwaaU6v4zb+KoNkW+CzJS+LdQkJ7MLaQqykq5ntjOwxv27r7IOH8SxTkZ8I4YwI7ktB/2LfsSUdNvYEO94xv+YEE3eO6dcA9pXaT8YjXKl0N71GaqMuIhdWmem3dzoAyRFU/Px8D5D8BvwNgWPZcmNDLPHUPCgS3cX97ArDf/4O9ZW9Uo1+dKMfMij4rdnz3C4xbCwtq+QT/koDHX8cQ4jYVIUJ/++3+wqizjII4BSztn/i1S3WxtLxlqFeXRdxTsvIJhaet8yZKL5rz/5APrELf9D31J3n2fojl0Vo0yidNzm75mA6zgq27m/XsxaGIh8/ROeEVO5HElZU2Sca2NZxBHfykabZhEt/UIQubpXdzphSLSWlUJV8hRC0raNzIFZaBVIT/+BNz7jEPasX95XOsWMbqBGW6r3n9uLH5Yssgk620NuiX22oGwkZlOI6tijRZBfx00yX3WkbToE6ECezLtev11ffuWyMhInDp1yiiUW4JSqeSlKSjKTPXLFFXevXs3WsrQHhawkJvzIKE2Ell1vVlV3dYYbfq4IH+YxY9Ebnos1MXxkDu7wtXBGcl7d2L0g0/D0kppXJ8Z9bStNe7mPsv1Ds6VmurXNaOTdAXO7N+FhH27EDFwKMIWXYdl774CB/N82GbvQHC/gdj+50/ITYyHZ1AoLIoyMfvuhxAaVW1m0mNU9fugVFAzlBUX4vC/61EWvxUWFnLIZDJILSwgVch5ciD95GpUnJHwNqfFnYdOp0PUuMkYMGFqzfZpNWwKYwYzTg2mQZ95I/ul9uMMyCxIYJAAraojPBrfz817XHmRlD97C4X5JT43SZ1a5ks9zqAR9a9LJ1ezOo+j/VX7VNTcx0FXgSpd3e+B/nESfa1tNUfjcmA7KBJDvOg2VZOP4/ehq4SklqAzPq7e/qv/eVzqcYaJZWn1fikt1uGcwgzBthXo4VjO0RXjg2o9rvbnpqX9otNh9ZF1yD4fw7c52tthkJuuzveFDMIMn0dhXi5+W/4Rogb0R8yJo7DLOorwqIH8Xav9OOM2K7Wo1FTCxlFT53Up0mPWjO272OPMar+Pep+vNMoXUwa8i/TkJBzftwdJcRcwec48bFv3N6xtbXBVL3c6/UBqUfdzM+f3od/PddZHnwe5a9f6fFvyOK7TrvU+ZI18vob329zH0bYaX9fCosEkoqaigs8VtacTOuNxdL3QWgs3h4pLr89OjvTJU3H84H6oMpMwbPRYzL31dpLQMEN5g9fNz83BXz9+j1sffqz682jm9ikqETluIP+fMawffvz0Izjr8jD52utQWf3Z0fr63XojdIvmIyk2Fn///jOi//4e5yRSuHp4wM7eAfaVGji4OcB7SH94+/nDzsERShsb7Nv+HyrkgEqnRgZlbRzdCScXNzz6/BKs+eVHlEqkmDvvOvTo01dvFFZV0arvlY7rfmt/Dxoehxr9fVzicVWX8bts6nHZJRVwddbAjA7gTRxfatZncdHHqcrL8O/fy+Ds7AxveSkGuWkbHNcufvxTQOszAFVjIvlxJYWF+PbtV7Dz3ftw9wuvwdrO4bKOz009jozHDOeFS51nWvI4ygpsq/Og4XG6qobnX/p9bfzxK8SdPgEHGytMe+AReAYE1XkcjU3W//AVkk7+h6Mn/4NEIuHXUFRVIbz/IEwM74P9m9Zi+NWz4BXco03GG5BKLznOGeI/GebXX109rjO76HjIMG6iYWGdz6OR/df4+LTh4+JOHUN2ciIcPbx4sbV31P826o07C7KzsG7Flxg3bSp6Dh6OKq3WOO5senzqClX4ZBz7byNKz53BrFtug0dgCL9u6oUYbFv2I1x8/FCUk43CQ2q4+wWix/TpOL5jC4bNuQn+Ef0avI+clETsX/8Xpi24EUH9BrbZuD23HYIygu5Bi4QyRYnrp0lTCvWKFSv4urs7DQKBzMzMOhFl+r9fv5bXGb700kscWab65pZi4+EDK+vOSyme8fiLUJeVQlnrxLfxu8+xc91KzH5oMVRl+lpiK2u9aC7Oz+WTtKJ6m2kgIqnneKqpUOOje2+CX1hvXP/iu7B3cePHac2lOHVwHy+K1SvgERCMYdctxOAplzYZIlsXnz5NRwLpxBh/+jhiDu7F0b27+DZrV3fYefrwwZZOYOryMljILXlw8t1LT0KhtMHCZ/V9NS+FtB16r5bm5cBCoYC8ekKirZC1UxpKc/dBXl4eXH0C4B7UvFRQaTtsb+1VFuTm4Kvnn8SwiVMxZubcFq/rnlff5cuta/7Cup+/Q/TJExg19ZpGH3vwh6+REBeHoD5RePitj/DJkqfw75qVePSN9+Hp29AQT1VaAp1aBTvndogoN2O3uvn6o9/wmhY7A8dOuMQ62+e71R6+IO21rW0NDUKzUpLh3sj3ozHi42KRm5vL1/ds34on33q/wWOS42NRmF+APdu24tC+Pbhe/QACe7SsBk+tUuHQ7p1451l9O6e7Ro6Bh1+AUSjXJjC8N3r0i0L8uRgc2LkNsWfPIubMaQSE9oBvYDDS09Jw4sghZKWno7iwADZ29njslTdgY+8AG1tb/TmwuiSi37CLt3xqCY1ta9ust+3XaS6Tw7WZ34GLkZOZgadv06eRDrlqIqYtvB0S6eVHf175cTnunDQSrz6gL83yDemBkVOuQa+Bg+Hp3TZGaNp2ag2kbWEbn+agqbetuRlpeOVWfXeBmXc9hDHX1rTZq8+iF96CWlWO5Z++B4XSGtNuvhNyhRXyUxJh5+WHfuOnmfz7J+p/XAlnTiD+5DGUFRehrKQI5cXFfL28pJgXOi9eOH4IOq0WNg5OsHV0grWDI2QWcpw7cgBDr74WcdFnsXvDGmQk1Jha3bTkTfQcNBwVKhVOHtiL1KREpH67FNnZ2Zh+10OX3M6ks6ew/MPX4duTxqQfwFKp9z3IiL+ANd9+joXPvQWvkJ483i0rKoSjuyePE/tMmgVr+8ZLO2w9fRE4qKHL/OWi4Ukd04aMvEzLzMt0tqUzadFRntKqqW1TbaiW2NDGiYy9SCxv2bLFKIwppWD//v1ci9xSyDiMjL0WL16MoKCa2cOuAIleqV1NPQodwM7s3YG8jFRkJsYhLz2VZ+qjrpqCETPn4c/3X2XRGTZ4ONZ/rU/PeWXV1jonYo1ajdKiQqRciMaxrZswZu5NLKbpIBk+eAT6jZvEM3bSNjh5GyAxHBjRj5er5t+EI1s2Ytfq5di3YQ2GXX0t/MJ64b279Q6udJAcOGEadq76A6qyMlhatW3qc3eHZrijjx5CUX4uz+5b29ljxNQZkFl0fN0TieS3Hr4bY665FpOua57zZ2Mkx13Aj++/yddX/fAN0pMSETFwCMKjBvB3L+b4Ufy29CPEnjnFj5l50+2wsrFGVpq+Dc4jc6fj/T/WwMXDNOvKBW1PamICykpLOUpQWVXJx8DgsPDLrvO89+nn8cStNfV0huwYw/XVv/6ENb//DC9ffxa7w66awIK3OUK5Qq3Gjn828DYfO7Afu7f8wxHgubfcgT4DBl30uR4+vvhv3RouVXrmnQ/g7u3TaCmQVqvhtFV5dYmUgdoROkHreeS6q/nypx2H2lQkyeRyfLftAHIy0rHi66XYt3kjfjmvdwmmybYF9z8GZ/eW9QK/kqCo/OSFt2Hi9bc0qwRObqnADY8/hysBEpgbvluK84f3I3LcZNi7usEzMAQKG1tY2dhAYW3L5/99G1bjpufegIu3L4rycjnwUpyXi5KCfIy57ka9QK2e3HrumjHVmSPAjy8/zUEFSlMn4eoX3pszTZw8Lt5OjYI2W375Fse3b8b0ex5Fz4HDjfcV5ebg59eewYx7HmeRTFBGoiGTksa9TYnk7g6db9qrvWtrEIZpelqkqB555BEMGzaMU6+p7vjAgQP48ssveTHs1Icffhivvvoq9002tIfy9PTkGuPW8Mwzz3BPZjIKmzev6ZlEU6cwJ4tF8ph5i3gGj9JTyouKsPfvZfjkwVtgYalAUN/+OLFD71p619ufNZitlltZ4aoFN2P78l/gFVwzOJv1gD4y0d7QgW7Y9Nk8Oxl74ij2rv0LG77/goV67IkjHMWj90n89s5LHGmOO3EUb6/XR6IFl8e1d9yHz59/Aut//g4zbr0bB7f+wyesiXPrmmV0BLkZ6Tz4P7prBxycXRA1YgwPaFqKQmGFcTOv46gBpVL/9vmHWPvrD7hm4S0oLS7G8X27eQBJ/LB1vz4NFMA3/+7GbRP0J+dH512D7//b1ybRHYFpQ9+5hxfOQ3BYL64Vj42J5hTLz5et4vTjy4FSmCkiq7Cywl1PPGO8vaS4GEvffBW5WZl499uf4eiiN5Q5fewI3n32Kfz65ef8+p6+TdfBUgr+p6+9xNcpzXrx2x9wVNilmQKIxPSufzdhw4pl6Dd4KPoPa2gIJ5XKeBG0PelJeufjF5bWdPxoa0gM3/Hsy7h98Us4d+IotqxchsPb/8Ox3Tvg5u2DJz/8H+ydOtfAsTOwc3LB5BtvQ3cj5tA+rPzsXYQNGo6HPvuBI+NNMXlRjVEsBSxcfZo+Fj3940qknD8La3tHTvVX2ttz5Lm5pJyPxvIPXuPSvgc++Q6WypraVRrz/fTKkxg+Yx7ChrR9VFgg6AxaNLIcOHAgG22ReH355ZdZCFM7qBtu0JugEE8++SQbdd15550oKCjAiBEjsHHjRqMRWEtxdHTEU089xVHlrgzN6L26Zmed2yg1ZtLNd2P0dTdyGg095tzh/dj793L4hfcxzs4d3rweCaeOIfncWfiEhuH+j76BnXPnuf/RhEhw3yheCnOysX/jGp7ldPLw5IEszWrSe1u99AN+/POzJ+KF39e1SkgJaqD9d//r76MwNxsOLm6czvv2g3dg+JRroLTpWKOFoF698favK3Fi/x5sXb0CK75aitd+XNbibAZnD08sfPgJTj+nGk4SyvPufgBrfvoWIyZNw+vf/47iggKkJsQZRXJj/Ld6Ba6aOeeijxF0bfZt+w9njh+Fk6sbXv38K/z42UcozMvH4nc+MIrk2lFgpgVRZoVSif/99Te2bViPHz79EEvfeo1rUit1lRg79Wo8/OKrXLtN5GVnwdXdA6MmTeFIM6U+X0wok7AfOWESX864vukeyrUpLy1FXEw0PP380CtqAG685wHs/u9fHNm7u1GhbCoUFeRDVV4OV1PJ8miDAE1RQQH6DB6G4F76frHtCX1/e/SN4qW8rBTb/16JP7/4GI/NmYoBo6/CrU8tgVyhaPftuKLoIuUiBI0F//7qUySeOYG5jz3H2XxtCUVzew4c1uzHp8ddwNn9u5CflYH8zHTkpCRh+t2PoFd1KUftxIrNP3/FjyktKsCp3VtZLNcvIewsukR01MRSr9uldutKd73uChjc474/dKFTa5SbS+1MIorI7lmznNNZ7vvwK+xY8Rv2r1+JfmMmIiRqENcmU1T5kutspwNCSzNCqH76melj+PqA8VMx99HFHVKjXJKbzQMJeXW9zJVSo9wYv33yLiwVVph52z3ITktB8oVz8AoI4rrM9q5Rrs3rD9yBa2+9Gz0j+1/WPqCJFgu5nI1xLjWxQhFn+o7dd42+/nfBvQ9j6nx9dL28hGqUy7iOv61pj6+BqFG+NL99tRRb16/FDXffj5iTx7F++R9wdnPnMbCqrBzl5WUYMHwknn7zPX48pRdmJidx/W9LodMiiV9bOzsW0FQWExdzFgd37cTBXTv4+rULb8a82+7EDRNG4+b7H8bV8y5egrBl7Roc278Hj72iLzW4WN3vD598wDX4fkHByExLw0MvvILe/Qdi6ZuvsNieMOPaZr+X9ki9Nmwr/V4XjqsZdLt5eSMzNQWDx1yFR197uxXrRZuTGhcLN/+271/bHvWpTb1/+j7+/eM3WP29Pnvv03VboWiBB0dXrlFuC/KS42Hv3fLjQEe//9P7dmHV5++j76irMP6G22DRygBTW/kKFGRn4ovH7kb/CdPg5OkFexd3eAaFGGuReb21dkFpYT4Sz57E3198wCZ4d7/zPzh5esMUyDx/Bg9MH2uSDs4G3ZJwwzDYWpjGxAJRVKGF/y97THKfdSSm84l0Y8gdcP/6VTizbydCIgchsE8k3r/rBoREDsT9H33bLoZEHQHNJNLMZfTBPXDx8dU75nZAxI/aq1TVto28gtm26k++3LF2Jaxt7eAdFILlX3wMOycnjJh8NUedOyLa3GfIcJzYv7vVQtkAiWSiOdkHVONJPPDymzi4/T+s/eV7VKhVmLnodv78yRdAcGVQXFiI/NxcZKWnoc+AgYiI7I/x02fCUqFgLwT6rJ++42bMWFA3WktZCq2NPrh51kREP3jxWSReOI/Bo8Zi/u134ZNXX8TVcxdwPeT/VqzFS4/ch4K8PNxw932NRi5I6GzbsBbDxo2/5Gsf3bcH+7dvxVerNrBIP3PsCD544VnY2tmjuLgQs268GaYC1Ufe+thTSImP44mr00cOwcraGrNvuQOmAg3Yuzr0nbpm0e0YNmkqnlowE4tvnI0P/trY2ZvVZSDHalOmtLAAq7/4EGlxF7Bw8Svw7tG6tm1tCU1W//bmCxg15wYMu0ZvpnYpyLw2bPBIbP7pKy4zNBWRTIjxgKC1CKHciSfvY1v/wcFNqzmSPHjKDARHDsS2P36Ela0dbnrhLU5n7urc/MKbXGuzfcWvOLBpLUbNmof+V01p05nS7sz8Bx7n6LFfaE9jBgVFv2KOHcb+f9bhr2+WIjxqEIZNmsYuqu2VBkVpif979XnMvftBdDSfvrjY2CZiwKiW9TUVdA3WL/8d/6zSd1d4/t478ekff8HJ1ZWF81vPPI4LZ85g5g0LEda3bdMUDZw7dRKvLv0aLm7uOLBzOzSaCvz4+ce4+YFHeTuWfPApHpg/G/ZOTiyg67P571U88Jw0a84lB3NUD01p3iSSifB+UXjnu5+55ViP3n2bZWjUkQJu0rU1jvdfv/sGzp08gScXzcfjb76HgSP1GUVlpSU4unc3oo8f5TTyfoOHCbPHVmBIALztmRfb6iMUdCIUPDi2fTPWffs5G6FS1h0ZwbZTAkCLoOCNjYMjhk6f3eJjwrQ7H8Kape8hfOgofj+CZu47cxMz8zKhbelMhFDuQHLTUpCXmQalrT0STh/HrpW/YdodD3Drio3fLUVeehqm3HoPegwc1jXqKZoBDerCBg3jJSn6ND599C6s/Ow9jJu3EBMX3oGYowfRo//gzt7MLsvYmdQPu5F9HjUQvQcMQnlpCQ5t/w8bfvsR37/7GoaMn8yi2btWD8q2GLzt3rSO+zN2Bl9v2mk09npm0Ty89t1vcKo2XBJcGcy77S5e7r1uBlIS47Fg3Ajct3gJ3n3uKeNjyGSLnJ/b2tCK1lmQlwtHZxeehKJJTuplTBFkw2H69NEjcHRxwaiJk43P+/LdNzk6bOvggIyUZLy29JtLilzqAUqR2aCeddsw2js68WLqLHrwMW5T9fStN+Ldpx9r9DH//KXPgiGmzb8BC+9/5Io537U32WmpCOjZizsDCLoudBw5sXMrNv/6HawdHHDLi2/Du1ZvZ1Mg+sBujLx2QYt+m1nJCVj16dvcCoo6u8QeP4weA4a263ZeSZhLzHgxFUxpWzoTIZQ76KC47+/lWP/NJw3uW/XZu2yANHb+zRg4afoV7dz750f62rwhU2fizP497LLy3x8/4v2NdF3QHlAvyZFTr+GFBll7/lmHTxY/CqWtHYZPvhqDx03kNlOXI5J//+wDxEWfwaNvfYjOgNK1yQX7i9eWQFtRgWdvWcDmgW98+3OnbI+gbaDvVmZaKtw8vXiwRjXJaclJfJ+nry96RUbhkRdfg1arRV5ONnZsWs+mSwvuuLtNP4LsjAyuhSZ3bRK/F86ewQPPvYiIqJr+8wNHjMTX772F5Pg4dpClfsvHD+7Hkg8/Q2lxEfsIePtfukaSBDUZOFHf5J59+qKrQanYNGHx5d//sGBe9/svCI/sz0vtcgoyKvtl6cd8Py2frljbbAfw7kx4/0G8XIn88cm72LFmBW5/8S1EDB15xY4FT+7SC2QrW3vMuu9R7hpiapB7NZUEBvRuWYZOUU42X970wjtQWFP7KhPyCbqy7JgEHciVq8pMhPS48/js4Vv5OvW+JVMuotfwsZyWkp0UCze/wDrmCFcq1z/5ImwdnaC0s8fHD93OIpnIy0iHYxsOkvQzoGImrD4unl6YcfOdmH7T7Th/4hh2b1rL5jDUdoLcfGmAT4NZGuxSutSEOQvQd+iIRk/28WdP4+iendy6RGlri0ff/qhF5jLtIZYffPktY29l6h/5wt23sknGVTNm4+oFCzn11Tug7U19BG1fj0xpzamJ8Thz7CjfFhLeC3nZ2YgaOhznTp9kgUxp1zZ2diyUx0yZhgnXzMKji+azI3Rorwh+XlukKWekpsDByZmFO7lu02uTyVZtrJTWmL3oVvy89FP960rMWUx7ePs0us767tw6nQ77d2zD2888Xv2ayV1SKNeGWm3Nv+u+Ru+jtPLbH3+GI9CUrt2e9YMUpReYNoe3b8b5E0fhE9Ljom2QuvJ34NSe7fjnp29gaW2NGXc/gqC+USabSZF45iS8Q3q2qG0UQSV15ENDHVxMDVP4DlwKkXptmgih3M4YRPLI2TcguN9ABPSOrDN4M7SB6g541Er3LSnIM15Pi7/QpkLZXCLtEgfFpgbQGnJ+bscabvr+9egXxQv1YaZUT0onJeMjishqNBrsWr8GCTFnGgjlP7/8DLs2/A0HF1f0GzYSty9+EX4hPUzqhD91nr7d2sZlv/D/W1av4IXw8g/Akk++4nRYgelBPYsXTtLXtU6dM49dlUn49h86Aj989iEL45KiIjx28/UI6hmG6JMn4O7ljX6DhsDe0RF3P7EYH770HJ58/R34Bga2SUs6Srs+deQQPn7lBajLy3F49074BATyxAsJYkOqN/VHHj15Kovq+pAQTjh/jtdDCwlu/+BQ3PLQo9x+6snbakzIBo4czS2wugM0KXfP4hfa9TVEjaRpk5+VieWff4g7XngDny9+FP7h+kmutkTSyf3F6fy6aukHsHFwgn9YBI7v3MJjnuYKSpqcLi8u4iBDR2Dv6oaCnKxmP744Lwfnjx7Emb3bue7aFDHvAtmaZibWHsqUtqUzMf1vThenfu9kgZ4HP/oGL18/na+fObAbYQOHQlVWyinB3ZmUuPN49c6FePP3Ndwrub2hGWN7p4azxmePHGzULdbFw5PF/LTrb8LAMZd28O0MJsyeh/KSYk6N/fjl55CXlWm8LzUhnlNhhVA2LT548TlOn6b0ZrmlJQvRRfc/xK7SxP4dW1FcVMSZIu98+xN8A4NYoD6yaAHMYIaNf/2JaxbciEGjxiA3OwtvPPkIC9ZZNyxks7vLYfSkqdi/bSu2rv8bH/3yJ7754B38+tVSFsoUNaW65OiTx5GenAypTIrBo8dh/m138XvZ8c8GnDx8ENEnjnNqcURUf458P/D8Szi0awfeevoxTu028NY3P3H0XCDoDpCo+uHtlzFh7g3cys2vR3iLo5hdAZqsefTzH7F/w2pIZBY4e3Av9m9Yg7hTx3H9Uy/g31++ReyJo2xK6REYjGm33Q9nr5pslI8fuAUZCbF4bfW2DinPc/H2g7q0BEW5ObBtZOLPALUzPbjpb87gCu43AL2Gj0FolPCcEVxZCKEs6BSo6f2DH3+Djx+8jVOtnrha37z+yf/9AvdW9D3t6sSePoEvXnwatg56Q6zV3/4PNz+1xOTqecZMn8V9mn98/02TFcpESmws3n/mEZSUlBhvu/PpJdiw7Bc8ev21GDByNEZR+6zR4zp1OwV6yE16+8Z13AN5xvULOXXaIJJpYuadZ5/C8+9/gj4DBtXJXnjt8685Al1YkG+8bcrsuTi6fy8O7tyOZd9+xT19W8ORvbsRc+oE1CoVSkv136OHbrgO9z79PJZ8+Cm+eu8tnD99Gh4+vhg79Wr4h4RyBHz1rz9xCjj5AwT3DMP4a2biwedf5mh4bcZNu4YXSjVXq1Vc2ysQdBco6+eX99+AuqwMF04eQ3pCPG56qn2zCzoTKxtbjJ2rzxyJPrAH21b8yufZL556ADb2Drjz9Q8hk8txavd2fPHkfRg4cRrGzrsJEpkMfuG9WShnJsV3SDcUOsYG9umPuBNH0G/sxCYfd3TrJoxbcAvChowyKTf+ropIvTZNhFAWdBrk8vjAe1/g57dqTo5v33VDtzT3Wv/zt3D38cOo6dfyCeePz95HRnIi39ZpNJFOHdyrN5vxZKQkwd3bF6YEpagtGjMIFhYWvNz7/CsYMXGKUVwd3rUd+Tk5iBo+Gj9+8j5yMjMwZe71nb3Z3Rq1qhxr//yN03D3bt2CCTNmQVnLBIY+OzI8pDZJhs8xMfYCt4vKz8vl/1f88C0W3vOA8TnUZ5kiudJmtkMjMZ5w4RyLXzbvcnXD2RPH4OrhiWHjJuD86ZN46eOl+OPbL7Fz8yZMnHkt7nnquQbroSj3gjvuwZTZ8/Dv6r8wbe58rl++GCSgbWCHSmE20z6I7EGTI+70CXz/5ouIGDwcRfl5OL57B5798md4BgRB0x69kUyoNIiY9/jzuHDsEAvfqHGT4O4XaDx/Ue1ydmoKdq9ZjsP/beSvr4ObvjQtOyWpw9qG0nbENiKUSwrzUV5cDHVZKaoqdWxK1hVEsimVhzUJtWMypXRn0R6KEUJZ0KkE9OqDZ75ZxjNpW//8BTtX/8npSDqtBj4hYbCs7iXa4l6TXWzQee0d9+PlO26Ak5sHR5IpXXjtD1/h9ude7ZTtoWjYvi0bMfrqWbCvl3pFJ5z+o8bg8PatmHbDIpgSdMK+85kXER4ZBblMCvt66euPv/k+Xx7Y/h9yMtLZzVjQuVDk+ONf/uSo8fZN67k+v7ajNEGu0VQfTKZzFOl9+ZH7+XYy1pq5YCGc3et+jpSGTSnM7y5+ArdMm8B9jyMHD8WDS17hddTm/JnTeHvxE5zOTdHdVz//CoV5eUhOiOfbaD033H0fP6/voOa15aF66etuuf2y943g8qnS6XusCzofKlf4d9nPWPv9l3B0c8ehrf8ipE8k7n75bXj4t5/RIgk6U8LOyRn9r6ppJWdg3TefYefKP4z/2zu7ckT57rc/x5bfv0dWUkKHbWNgnyhsrTZcNZCXkYb377qeU7NpbEY117ZOLugKUFq7QNAahFAWdDoGw53SwgIU5+fh08fv4f+f+XZZq4RypU6LqqqudVCkmfShE6chPyeLa7X7DBmBzct/RWp8LKc6dzRjrrkWKlUZXr7rJtz40BOIGjm2zv2Rw0dj2Rcfm5xQJkZOuZrT+jRlNWnX9fng2Sf48v1nn8Bvuw534NYJ6kPRYUppNrB7yz+475nnjT2MyQSLJr/Ky8tgbWsLB2dnbrWUnZGO4PBe8PJtPOsiNKI3HnvlDXgHBrPBHxmAURR62nXzjY+hzIj3lzyDvgMH48DObeygTaZ29FxaDNQX14KuQ2NeC4KOJ/rIAXzy1EN8XWljizEz52LQ+Mmcdtze6DQadAWm3XYf9q5dyd/ZGfc8iv9+/x7u/vrzP0Wdj/y3qcO2xWA0RuLYcN3SSsk10g988p0xitxV9Gd7Ouu3FSL12jQRQllgMkSNnYikc9GIP30cNz/3Olw8vdFdoCjtTU88hx/ffRWPz57CtUqTF9yENd/9D/e8/HaHbw+1eJi6YBF69R+Mr15bguN7d+HGh5+CXG6BhHPR+PWTd9Gjr+n1f2wuL3/xPV687zb0qhe5FHQ86/783Xj941+XswCmFOcTBw9wP2EPHx+MnDgZtnb22LJ2Db589w0Eh4XjxY+Xcoo0pStuXb8Wzm5uLHhr/6asbWzZcOunzz+Go5Mzrrp6Rp3XptdJT0nGfYuX8GuEhkdw6yKBQHB5JMacRWLMGeRmpiPh7GmuQyZuWfwy+o8Z3zVSYTuY3LQU48ROjwFDsXXZT0iOOcNBBGojmpUU36HbE9g7kuuUSShnJSfg1zeex4CJV3eJVOsuicRcv5gKprQtnYgQygKTwSc0DAMnTGWh/P2ri3H36x8hNGogugt08ln0xPOYe+8j+PKlxVj1zVJ2BaXJA9/Qnp2yTX6hPfH8/37EK3cvwq4Na6CwssJXr7/I9738za/oCpDT9dljR7jNT2FeDtKSEtnsi/btyYP7UVxYwGJK0DlQvS9FeokHr5+DqCHDENY3EnMW3cqXlgq9qRdBadAUET62fx9uv2YyR5ep5py46b6H6ghlgta7dsWffH3ebXcZ10V10fPGDDM+7uzxYyJVWiBoQ75+ZTHyMmsc3d18/DB00tUYMHaC2M+1oIk+ihQve/+1Ovvl88fuQviQEbBQKLDtz58x5ZZ7OOOOFptq08/2JrBvFM4d2g+Z3BLrvvoEU2+/H/3GiM9P0L0QQllgMuSkpaCivNz4/xeL9WlaxI3/Z+88wKOoujD8zpb0XknovffeUZAiCCgCKoodu4IFsTfs2H4LNgR7B1FUEFB6773XACmk92yZ/7l3NiEJCaRskk2Yl2ceNpvJ7Ozs7Mz97jnnO48/z+Gd2xj74FRqMmKW3cvHV9Ypr/xrvqxTPn6w6oSyQLTr6T9iNBuXLSU1KYF7n3+FXz79iOrA2qX/8OV7M+ja7zICQ0IJDAnjwM4dhNWuTUpyYt7706k6mrRoxS+rNnDq+HGZUi3aKhWHqBkecvW1bN+4ntBatfJaK93x8FRp9nVg105ycrJlL/Cc7CxZ1iGMwERK9faN6zh57AjHDx0kIS5OvpZIxxPbGz1hYiW+Yx2dms9L38yTIjA++jQ+/oF6pkYhsjIy+Ont6exas0L+7OHtw8hJD1K7SXM51tm85C+uuush6Qr+5p3XMfyO++lx5WiZji3SsiuDRm07Mfe91zhz9CB3vPoeYXXL12qvSqkOvjXCPMuVDLRcaV+qEF0o67gMy+f9yOo/tMiSQPRUTk9Jlo+/eV2LYkYd3MeU97+44Ha0lK7q/QUPCAklNKK2rN/qdvmQqt4drrj2ernkXjcrqzWUEDgnDx/UDNryUVTanuinm0tOZgY71q5k/cplPP3ex9RpqBnFPDR2JMOvv5H23Xvx3D238cTbH+Lmrgvlqka4Rddv3OSi64l+yh+//grX3Xk3lw0bwTP3TyIpIYElv8+T7aVEv1Lhdm52LMFBQUx+bjptOnfl1cen0KR5S2686z7Ca9e5oCDXqTkoeppolWZJuUIJlaudA7vXreLLF6fJx92GXiUFspujHZ7g82ceZtKr78ue0narLe9a1f/aCbx11wT6jB5PcETtCt9P/5BQrp3yFC269ZJtPKszrnYO6FQfdKGs4zJcc+/Dsg7m4DbNXKl1j75ENmrC9pX/cvLgPqw5OfL/1yfdwLjJT9Cw1TmznfwI456acFFs2akrk559Bfd8qaeXEkIkv//s40SfPIG377l2QUVPDhd8wmg0EBpWixc/mZOXVi1crm02K5ePvJqbBmjuxT9/PpM7H38a/0pKZdMpO6uXLubNp6bi5u7OF+/OYM7/3qFxi5bM/Hl+Xs2cmFDJnUSx223ERp0kJLK2rG2Ojjop3bQjizH/0qmZiMkTnUsbo8l1zPj2rF+dJ5KH3XJXXm/l/ORkZeV1bMjOzMDNIVI9fXzpd811/PP1Z1w/VQseVDTt+1fOpHhFYzC5vtxRjGJRXGp/dGqwUB7UIAE/P9d3u1QU51sGGqgYG0KlArZb+P33/3IK6emZJCWm8uiUd2kYnMPP304lJiaeWye+gN2uEnPiGO8/fBf3PTiOSXdfc942Y92T8fE24Ovr3EihQakY10SDUowjp5iIby+uVNvLtF2lIpy/7RXkHFmofYfFYuOxaV8T6qXy9fwHMJlKd8VOTc0mIy2L8DDNQCbqVAJ//bqcnl0i+eLZ2/LWE32V6wamExzsQ89uTWnbph6+Ph5SaBdLRRzXinJprwhL0ipKYavfL4e+PzxIYIAXAX5euLnl3r40J9gVaw7w0OPf0apFJG1b1ZH/x8Xn8PLPK2jSKIw570+gVYsocTbgklSUuVFFTBoqFTQRWQHb9fNLoUnQKadvF0MFjCINFTMkUyvo87KrzhegdtX5x+CIJZb69Zz//VLV0h1XkYo+9crH5eMlyz4lJFRM4p4+b72nrTkMa3JWRpKPc5qf/N0Y0kArMxlwfx9GX/kT9TLW0LJVyVtq2amYc6C0x6Cq2J2eisujp167JDVWKOtUT8yi922Ar1y++u5FnnvqY4YMvI/adcKwWKw0alSbkGB/uvZoxY7tB6Wo9va+NCOuJSUmJol//tlKWJg/kZHB1K4dRGCgj0u6jp45k8hPv67lu+9XYldVrhzaiRFXv0Z2lgVfX0+5XDm0IxOu71vibR4+GsOVozXn8Pk/PYKnpxsvPz+O739ey5atR/ntj03yd7PmLJP/P/vkNUwY37uC3qFOWfHydKN5k4L9knMsVk6dTqJBvWC6dWqIn58nQwa2wW6zs3zVPnKsJt56eTzt29TVD7yOjk6VkZyUxksvfCofz/ryeYdILlpMi4BAbrq1GON4enmwft0O3np9DtHR8aSmpDPptudZua5gn2MdHR3nowtlHZfFy8uDN95+iK2b9zH7iz84euQUvn5e7NxxCLObibDwIK4aOpnf/34HH5/qXT9TEaSlZbF580Em3fWh/HnYsM6cPp3AqVPxNGoYzuzZk0sdqa0IbDY7q1bu5vuf1vDfsl15z/fu2ZyGDUK5aUI/KYBSUzKJi0/loYdnM2pkV3y8L54xsOTfnTz25HeYTUYuv6w1zZtF5E0Q3H/3YKJjkohPSKN1yzr8+MtaXnp1Hn/+vZXGDcPp0e3iNbM6lc/JqASef30+GRk57D8UjYe7iX69mlM7IoBAfy82bTnK/96YgM2uciIqlYb1/PSP6RImv3eBjk5lIkTvmtXbeerx90lOTpPPPf7krXTu0qrYv5n5wU907dY67+cMGQzw4NuvFjD++mEMHd6HbVv2cf/dL7N18146dm5ZKe+luuOCcYHzEWnXLpR67VL7UoXoQlnHpRGiplOXlrRt15QH7n2DFcu2YDKbOH78DB4ebsTHJ8vIcq/e7fP+RjN+qgYOhxV4c54/fx3vvvMb9euFyuc+/OBuBg3qkHd87rl3Jq+99gsDB7XH38+LVq3qVdn+Tpj4LslJ6cTGJRMY6M20R0cz+Ir2eHm58+u8dfz+x0ZCQ/1lNPnvhVtkym1CfNoFhbL49EVEev6CzWRkaiUYz0y7ukAUPSUlU55DQiQL5nyzAovVxuatR3nupZ9Z9McTlfDudUqLEMer1h6Uj7evegGr1cZnX66Qkz4Tr+9F65bnTG6EWNa5tLFVRPmBTrVCRGgrk6iTMTw17QO2b9uf99wDk69n5OgBhIYGFvt3fy1YxaKFa/nqu1fynsvIyMJmtbN39wHeePsRPDzc6d23IwuXfkJAYEHvDh3XOQfKghifKC7kNO2KWYdVgS6UdaoFIoI86ur+uLubefWNBzhxIprxYzRDjK1b9hcQymLgbLddml/wbduO8PL0H3D3MPPJx/fRsmXdIi9+r7wykZen/8jnn/8j/2be3Keo5xDVlZ0WvnXrEfn4lokDeODeYfj4nBPAz77wI1ZrwYHu8iUvUKtWwEVviqlp2fy3Yg+REYH4+3nKyHLzphE0aVyLrduP8etvG2jTui6DLmvDjl0nOHI0Nu/vj504y7HjcTSoX/nHROfCDOzfkk7t65OYlM5T0+fSoG4wTRqH0aNLY0JDCg4cc3J0kXSpk5NT0P9A59IjJ6eCvDUcTHvsPRb+tfq858eOv4I77x5DWNjFzSJ37jjI229+xedznsc/4Nx1LD09i717jtC0WT0pknMJrxXsxHdQ88nJKcYLRkfnIuhCWafacNnArrz+yhzOnk0i+szZvOcDA/XUypiYRN6aMZd16/bz5FPjGTKkE5npmcybt5YjR6J55JGrCxzLoEAf3nrrdvl46uOz2bL1cKUL5c9nLeHNt36Tj+f/MpUWLc5vd7F72zvy/7XrD/DIY18SEuIno84XGxQlJqbh6WHm3TcnEhUVT9cujUlNzWL/wdNs23GMZk1qERbqx67dJ+UiuGZUV+bO3ygfe3iYOX7irC6UXRAx0TPno9s4dDSW4yfi5aTGkmV7mPXVSn79+r4LG7HplLos4kRUPPsPnGHfgTPsPXCaDZuOyLT3fVvfKHPEQWR5iJrzwohsl0OHY9i+87jMIAkO8iEk2FdOdp0zb9PRcR1Edtva1QUNNz/+/Gl69GxX4m2I8cyjU97mpVfvp0HDyAL5cCL1euAV3dm96zALfl/OiJH9nbj3Oi6FuHe50v3LlfalCtHvPDrVBpEmO+rqAVw1bDL//PshY8cPomWrhowZO5BLmeXLdzL5oU/IdKQYC9OzadPmsPy/HXTv0Zzt24+y9N/t+Ph48uQTY+UM9ekziUSfSeDwkWiWLdspj+3oUVrLpIpmx45jPDr1S46fiGP8uN688Nx1F3Xo7tGtKYMGtmPFyj2s33iIfn2KrstKSEzj3vs/k7Ptjz40QkaLC27nXN3xilX7iI1LkXXL/5txM0NGviafb92qDt5e7vTr08Ip71fH+YjMktYtasslV2Ddet8XzP1jM2NHd9UPeSF27o7ir0Xb+OLrlXKS6JtZd8mSi8ITTKL04O9/drBtx3H2H4yWojW3dEHQr3dzsrIsDB/aocwiWZSGdOz5FC89cy3jxnSXn93S/3azbOVeVq7ZL832OnVoKK9nZ+NT5WJQFH78+sEC2SYlZd++02zfvl9Oln3y2WJGjuhC/37nakArCvG+Nm0+zGefL2b5it3yua5dmtC9W1PatWtAndrB1KoVyJkzCfw6dy133H4FwRdIy9VxPRYvWsdjD78tH18xpAfjrx9K5y4tS/XdyEjP4sH7Xue2O0bTs9f54lqkXsfGJNC8ZQOeeeJ9mjStS4uWJXe71qk+iLRrl0q9dqF9qUoUVSvorDGkpKTg7+9P1NkN+Pn54Oro7aFKlxq57L/NPHTfm3Tp2pJZXz5X5DqnouLx9zXhH+BVvdtDlZC4uGSios7SqFEtXn/tZykWB/Rvy7ChnQgI8Obw4TMyFXnDxgP8+ONKwsICiIwIwsfXg927T8godC7dujWjQf0w6jcIk/XN9euHyUizENJFtYc6dSpBRqOvGnFxcbJ27X5uuf19+Vjs1+KFz+GXO1gv1B6qOF565RdZW/zYIyMJC/Uv8DshvCfd8wlJSelkZdv57KO76da55G7HCQlpbNpyhNXrDnDbxAHUrxdS9Ip6eyhctXb55rs/JyI8gFeevYZmTSPYfyiJVs2qifiogHqwnXuiuPamDwnw96J923rSCVwQWSuAO27pLyO1A/q24MixOK685i35u8v6tWTggFZyAqlpo3Cee3ke8//cIp/74K2btJ7V5Ww3NP31+Xz9/Sp2b3qNX37bwDffr2bCdb3p06sFdesEn+ds3u+KF/nl28nUqV3yfucno+L57sfVrF5/ktYtQ5j72wb5/JxZ99GzezMqsj1UWlomD02ZxarV2vEWZkyq3V5g0qEw/y5+kdp1w6gILvX2ULt3naJF6wZO325aWjZWiw3/gLKNNcWkthDa4eHBPPG0luElUPO1cprx+hxp5HX9jVfy/Td/yee27v6l1K91qbeH2rJxLwN6jyE5ORk/Pz+X1C2xz16Jn4fr9PxOybIQ9uJfLnnMKhM9oqxTrTgblyj/b9ykeAEkZ3MvoYkwYXQlFsErr96S93xulLZx4wj5f9OmkaSnZREvIjRGA3PnrpVu0vm5797hRJ06y/Fjsfyx/agUnydOxMm/FYZgocEF056PH4+V0WGxfDLzbgb0LxjBFfNw/yzexoOTZ8mfRVrsor+epW7dYkToBRC9lcUg+tU3fuP3BZsYPqwTrVrW4ZR08k4g6lS8rCsWeHh48O4Hf/Pd7Ekl3n5QkA+DB7WTi071Q7SOWr3oSUZP+IB0hyCpiBbCxZGalsXqdQeJiUvh5uurvr3Ytp0nGH/LTPn49pv7M+nWAazfdJjNW4/JlOrf/9wq1/nj5ylcNVYrcRg1vBNvTB9fYDv162nC9dTpRE0kl5PklAxZS3792B489/Jclq3Yw3ez79MmpooQdIsW76Bdm3olFskiYv3G2wvYd+A0e/ZGcd34gUy4vhv//reLvxc8JctOKhIhksdd95acsKxXN4TnnxtP714tz6uXFNetkyfjZSlJ2zb1K3SfLnWMFeTeW57WlJmZ2VIki7rjx6adu28XxmQ0MnL0ZUx94jZZ6xwVFVPm17yUcca1q8LRXa9dEl0o61QrhMv1XfeM4d4Hxha7jnC/rRYXxUrm9z/W8+uva+jYsZGMKn8x60E+/WwRISH+JCSkytTL//7bwZQpo2QEWQymF/2zhWFDO/PFF4u58aa3mTPrfiIizkXoevVqweYNbzJy9Kvcdc/Hxb62iCD/9uu0An97MXbsPC6dr8XEx9zf1jP/j43ExaXI37VtU48//94ig3AinXFA/9a8/4E22y6Y8cZNtGwaWeZjpVM9ERMxZrORpKQM+bObueLbn2VnW7hrylfs3nuKbp0bsXXHcdmuavO2Y1w1tL1ME68K3vnwH/n/269eL1OlBd27NJYR9ytGan3Fr7u2B/XrBvPEIyN49a0FMnKclZXDoqW76N61MfXqBLFu42HWLn1GTiQ5g9ffXkBqaiZdOzeWE3U3Xd/7vOyNn+euZ8Wqvbi5m1jw11b53JFjsTRqcPGI6z9Ld0rn+ltv6kdExFB8A0TfeG/ZR/7JZ75n2mOjZNZMRSFqqT293PDKduf66/qeJ5K1dcw0bBAuF52Kx9Xq21OS02S6tUijfuLpOy7oq3AmOo7IyDBpUnrL7aMrdT9rmiGsy6MLZZekGpw5OjrnEL2U+1/WRT8kpUQ4Sz/11NdMn34To0Z2599/d3D1NVoLinVrZxAY6CNNvyZP+YyBO9rLFGwRDZ4y5XPeeus3Fi18AQ9PNybc9A7zfp2Gv/+5tHZR+/zvkhdlBOXYsVhZ9/z0M9/l/X7p4hdkPd7FEAMBsQiRLl775ts+kKmKtSODaNu2HuFh/nlCeeeuE/J/kbr996Kt7N17Su5Tj+5Neem56wgM9CUjLUs/Ty5BkpIzZHS5shATczt2R7Fk/qMEBXjz6tt/ct1tH8vB+dYdJ3j5mWuo7P7pT7zwi3R6f/DuQXkiOZfwMD/eef0GFi3ZSeuWkVLIi1rhXXtP8cdfW6VIFqzfeJgDB6OZ+e7NThPJQsCu23CIP399VNYiFxVtFr+f8d4Cpj87TrZ26turBfv2n8bft2TRu48+XcwTj47MS68+dDwFN7OJuT89xhNPf8vV177JulWvVNgEhhDBMz+8i3HjZ5RqYlDn0iAuLpF7J71M/wFduO/B8ResZxb3wzWrttGhYwvuvfMlXn1zMsEhF+74oKOj41x0oaxTrThy+DS33XG+O7LOhTlxMk4O2jZuPCCF8hNPfMnbb90uB4tCJAtEjbOoR05Ny8wTAM8/fwPPP/8dvXtPJTjEl9p1gvH0LDjAFKY7u3afYMPGg/zv/T/znv/z96do0kRL+y4J4254m917omjapBZms4k6dYJ56okxnDx5lvc++Is7bxvIJx9O4vEnv2XVGq32TwjwIYM70KpF7XP1ziINNjVbPyUuQc5EJ8nBZZ3agTirbabY3vy/thF1OoFBA1rRqnlkgcGtiAa1bhHJgUPRskXVjeN6Urd2ENeM7CwF88+/bWLs6Mqb3Nu55xT//LubG8b2YPSITuf9XnznrxzcHtWu8vo7f8qe1EIUd+nUkA/fnki/Ps2lsBRR36++X819D3/FkEFtufv2y+RkVXlYuHgHQ69oV6RIFhkt3fo+k/fzdz+tZvYnd2s/XFXy1xAGfaIkozCzv/qPtesO8PWcBys8yi/8Exb8/iSenufa+ejonDwRLUXyuOuHcNPNIy56QA4dPE6dOuG89+E0Zn8+jxvHT5NiuUOnFnnby8zMollz59df61Q+upmXa6ILZZ1qg6g9EzeG+g1KLr50NIQ4/vLLpYy8qnveIenfv20BF9nFi7fK1GvRWik7y8KVV3aRDtXPPD2eq67qJgVrk0ahxMQms327Vuco+iC/9c7vBQ7zrz9PpU3reiU69GIbP/y4kpkfLyLubAp333mFFL916gZLp2uZdj1vPVMfGUWf3i24466Z9OzRnIcnj5CDXdETWadmcvhYLHUiAkslajZtO0aXDg00Iauq5fLHElkN/67Yx9sfLqJWmD9tWtVm6rM/k5Vt4Z7bLuPaUefE79CBbZj23C/cd+dArh7RkRvH95TPf/DmBG64/VNatYjIc+iuaPbuP81tN/Xl8clXXnA9EWkWfcV37zvF809eTVChtmuiPdN9kwZx43W9mPPNKkZf9578G1HrLEo3ysLNE/oy7qb36d2jGc2a1iI05JxBjMGgcN9dV8i068cfuUoae5WFenWCWbZiL5ERAQQH+6Ionvz19xZ+/HkNv899XD5XGYhMGx2dXPbvOybTre9/8DquGlWyFk/bt+6nfYfmspTs9kljaN22KY89/BYhIQHUbxDJyuWbuWrUAKY9fYd+oCvfK9H56KnXLokulHWqDadPnyU42B939/OjEfnRjNxd05m3qti//xQpKRl06aK1RzKZjdhsBZ2mf5u/jpEje0ijrZkz/6J375b8u3Q7Ux+7Bn9/b7n8u3QrU6d9Rb16IXh6uMn00r59WtGoUTinTsVLd9eSimTBk09/w7r1BxgyuD3DhnSkS+fG563Trm09Xntjntz26FHduPeuwRdtvyE+fXvNMvS/ZCbDhDid9fVKTp3RjPsG9G6O0WTAaDDIGffc/0XLIGHSI84FEdUVP6/ZcIjhQ9rnbc92gbCySIue98dmklMz6d6lkYwGN6wfIre3edtxZry/kOwcK089MoJe3bXvzZR7B0t37VvvnUX3zo2oW0czmJowricd29Xn7Y/+Yfa3K5n94W0y+ipE24tPjeb+R79l6KA21IkMlFFe0X6sIhDXvg2bj3Dl4JIZ0jVpHC6XCyHaSD1072Am3tCb2V+vZNT4dxk1ojN33nqZ7HNcGoQh103X9+G2ez7jnjsHMvm+oXm/ExksD947VBpgiVZWI4adHw0vCQMva8P3P6+RfdT37T/D8OE92bZtv5wAzF8yonPpILo+VDQx0fGY3cwEBRV0B05NzeCvBSv57ONfeeb5SRctHRPf4S1b9sgMixXLNzPiqnOiWvRm/vOfj2QJ2pFDJ7FYLCz+Zy1XjR5A6zbnWh/qVM05oFMz0YWyTrXh6OFTNGxcu0SpknZbdZg+rDxEynXPHi3yTM6KMjf58IN78m7Uf/yxgcFDnmXChAF5qdni+Z9+WY2Hh5kzpxNl3aIQInabnZNRZxlyRQcmTOhX4n3atOkQm7cckS7YHm7Fmy7deEM/adZ15Ghssf2Ti7opWq2laz2mU7VIt+i7PycwwJs7Jvbjsr7NZduibTtPynNPZB+IyQ+RMizPO3vuY7t8LJa+PZvJ6G4uOTlFnwPzFmzh/U+WMPH63oQG+7B+81G+/G41GZkWKWZF714hioW4LWwMKOqf75zYn9fe/YsPZ9yY93yrFpF8/r9bpMif/MQPfPXJHZhNRi7v1xIvLzfZl/idjxbz4ht/cP+dl/PAXYOcevzEwFrUJqelZ3N5/1Y4G/G5PPzAUG6Z0IfPv1rBiDEzuGZUV26/ecB50egLccctA9i5+6Q06iuKYYPb89Z7f/LIE99web/W9O3d4jx3/gtx1+0D5SJYsXofm7ae4aEHrqRVizpSjOtceojvRkWSmZHFnbe9SGpKGmPGXsHEW0Zw9Ohpfv15Ccv/20Sffh354OMnaNGyYYlc02+f+CwtWzUiJDSArt0LdpLIzs6RkeSNG3axYd1O+dy+PUd1oXwRhNO8yyNc/13JiLaC2spVN3ShrFNtEDeIi0USdYqme/fmfPX1v1JwnDmTKHsNF5caOH/+epkG+e67d7J/XxQff/w3q1btYeOmg3nrtG/XgJ9+eLTMh1tMZrz48s888fg1Wo/mi/RRlunYJTAE06m+BPh5EhbqR6MGoVzer4X8rjdpFC4XZ/PV92t45bkxMoosyI1CR8ckc+BwDD26NpJ1usUxYXwPfpy3gRVrDtCvV8GevLfd2IftO08w438LeeLh4fI58TpiadwwjNvvn80Hn/3L4mV7uKxvCzkp4JuvBKKsBmbdL3+Jy/u35IsPb6tQl18xQTZ1ygjpKv35nGWMGvc2//z+eJF1x0UhXMk7tq8v+xwXhUi1n//TIyxbuYeFi7fz+DPf8/svj5bI8bow/Xq3ICgkjDatKs7lWufS5qH7Xic6Op6u3Vpz173X8vkncxky8B5q1wnjmmsH8shjE0vcZzkhPpkbxk2TjydMHMHpU7G89PwnMr1aRKJF5syTU9/Dx8eLW28fzbvvP46nV/muHTqugyIypCqolVlZcKV9qUp0oaxTbejVpz0vPvcZyUlpJb7x6GgIUy1FMXDw4GmW/rudMdf0KrIlhUjRfnzaHPn4llve5aabLpOplyJqJxDR5Bsn9GfSHYPLdWjjE1I5cyZBPl70z1aG6L2LL3mEQPr4nYmMGP+eTG9u0bTivAg6tqvHgUMxeUI5l1rh/nK5GEJEv/jkaB5+8kf692nOvXdcRm2Hw7EQ+K88O4YxEz+SEcymjcLkBEC7NnXp06Mp+ze9IlPM9+w/w6+/b2LcLTNlZLpRw7KLuWMnzsr/Y2KSybHYLiqUxYSZ6Pm8c3cUGRnZ0pDParNz3ZjutGhesrZqor5YuEtHnUpg8b+7GDm85KnSY0Z15fpbP5L1yGOvOeebkF+MXzOqm3S8P3QkhtVr9vPxZ0sYf21POne8eFROR6eiEX2Qv5r9J9u27pcp1b37dpTmbU8+cweTH74RT0drw1JtMyubs2eT5OOnp/2P4SP7MXRYb3756R/eePULAgJ8CQ7xZ/prD2A06tkROjqVgR5X16k2eHl50Ld/R/5ZtK6qd6XaIW7Yg6/owM23vMtPP63iuuv6Frne8y9obZ1CQ/149NGrqVUrkAULNsq019dfu4UNa9/gsUdGl6vWT4iEfgOeZtRV3bj3/k95cPIs6bCro+Pl6YbJaMDHu2KiJHv2nealN37n7yU7sZUzNV/0TF4492FqRwQw9uaPePH132X6uECY5H363s2YTAY2bDnKlCd/4I+/t+X9rUjnbtOyNs89Poqbr+/Fg1O/Lde+dGhbj32bXqFT+/o8NPVbLJaiMzREu7Xvf17HlWPe4r2P/pE+BSKlunGjcNlP+c4HZvPqjD9k+nZJiagVyI5dJ0u1v0IIz/roDj74ZDFL/tPaURWFt7c7x0+c5Yef19K6VR0eevRLNm05UqrX0u0qdCrCruLOW1/i2LHT/DT3TQYN7lHA4dzL26NM2W8RESGy40OTpprPh7eXJ0OH9+Hjz5/lszkvyNd56RVdJJeJ6lCibFBcb9HRI8o61YumTetx+FDUBdeRNyj9+30et912BZdd1o4OHRqeV3eZi2gZJaLKUVFniYqKx2Kx8tZbt9OmTX1tBXvpa7327DkpDbuOHouRfZaPHo2Vz8fGJXPd+D506tio2HrFsiI+fmHupFP9iE9IIzio5DWvF0Kc5iLN/8d5G/nlt02kZ2QzZmRnfvvuAcJDC5ruFIcQjStW72fpir3ShXvyvVfkDYJ9vN25947LpZnXF9+sZPQN7zN6eEfuvLmfFJ6izlnw2DM/8fWPawgM8GLw5a0LfP8iwgOIqFUyF2kRCY46nShbIIla6fyu9aKe+8oh7Xn+1d8YPHoGzZqEy9+LtmkitVuI5D8XbqNntya8+vxYOrRzfKfzcc2oLrz9/iKuvGYG3bs2pmmjcNmuTRh+ib7M4vVFLXiOxS6dpef9sYnklEy+/eJeSosw9vrk/du4497PCfD3okunRuet06ZVXZlynZ1jYeINfWUbuIce/YoP3rmFju1L1hLHUETmjM6lhTD9y9/H+PDBKLp0a1WumvVjR0/z2ezntdIhJyHdre+8mkUL18qf5/6yhA6dWjJseB/q149g0j1jnfZalxrFjXlcCt312iXRU691qhVLl2zg/ofGX3AdcfOrFhfFSkaYcuUacxVHRESQXJyBGFR//sUSvv5mOVeN6EL7dg1lmyqRYir2o8CM+0VqlEuLqLEW0Tyd6kV2tkUadglHdWdgNhl44fXfOX4ynicfGU6Xjo7WUaXgrQ8Wsnf/GcaO7sq3P68jONiHidf1KrCOEJFCFIvo8GdfrmD4uPcYd3VXbruxr/zdmy+NY92mw7z70WI+mb2cyfdcQb/ezeS+bNt1gg7t6hUr0pcs2y3F7ePP/sSuPaekqAwN8eXg4Rgiwv1p2iScmNgUTp9Jki2RxO+FcdjpaC2Fc9rDw+UxFYZY875/kFrhxYtyUWbxwlNXc+uNfdm1J4qDh6P5ae4Gmf6cnp4tW6zkuox37dyIB+4eTI9uTYos4ygJLZpF8s7rNzJ56jcyjfvyAW3Oq3Vu1CiMRYt3MPGOmXkTA8JnoaRC2c1Nvw5c6ohSBNFacuoj/yM2JkFmp42+ZgC3Txpd6m1lZGTx0/eL5WNn9+MWhlP/LFxLn36dOHjgOE2b12fxojVSKOuUD3MF+jbo1Gz0M0en2iCim/v2HqNV6/MjDzquh2jH8v4Hf7Hkn+cJC7143aeOTnxiOsEXmcwpDcLd+sChaObMvL3M4jssxI+gAG8ZiW7RrBaPPPXjeUI5l6BAH9m/+JYbevPx7GUMu/ZtbhzXUzpFt2oeKSPBp84kMWnyl9IJ+9tPJ0kDMfF3RfHF1yv45se1UpwKwy7Bfwsex9fXQ5ZDjLvlI/5ctCNPDIgez8IsS3BZv5a0aFqLm67vXerIWYP6IXKpDDdUIbhFy6iHp30rj8OyRU8XECDpaVk8/9QY3N1Nsi7z3TducrpA0anZ7N17nBlvfM19D46TAnne3P+Y/dnvpRLKGelZ/PD9Ir796m969GrLNz9Od7q56NYt+zCZTTww+QYenDKB9PRMhg26W7pq66ZdNR/R9lAsroIr7UtVUmOFss+RPwukpbksDpMkl99mRW23FNsUybmDu0by98wPuWloQafZ/Lgl2zEZ7Zg8nPslV20V02JCraDPS7U6N0orsV74GFhsdhZtjqZ3qxACvM34uitkr/wHe7BXubZbWuzZYM9RsXtXQGFSRRzXGvqdLS2LV5+hdZCCffGCcm/r9y1xrNmcxmc31MFdnINl3E7dpLP8tycBe6Mszu5PpK6H9aL7Fwo808nIbQ2b8/qfW3hp0w583Y30q+/Bfbd1YeWBJJ74+RDrv1/Awx1CuPmzjQTFn+DWfnUKbOe68Bx+sFt5bHhDpv14gPb1fMla+jfePm4iZUNGmN1MCv890Q1PNwMWm4rVpp3zQT5CTFpg2cIyv/dicXLGzpL5m5lyZUOu7BKBee3iAvvrmZ7I8y//qq33XC/Ma2NK9X7UJBP24xVwzppM1WObcrsVY/ykVEDmlsno3GPw47+H+erfM7x7X2c6N01h5Tef8NHH6/n8iQGcXfodn/++h0XrTxIe5Em9cF/qhfvQvH4AI3qfy1iYt/wIb323nT7tI/jmqT40iPCFlI2we7NT9zVm/SH27D7Mtp8+oVe7CERfii7NAtnww6cM7Xl+qUSpqKgsu2qSvedxOhWXR2TmuFKpiCvtSxVSY4WyTs3k1hEtmPzOam4Y3ARjNblAXwqkZ1l55ac9LNwSTUa2JiTvvbIJkUGehPg5t/5Yp2aSnm3js+VRzL6jtVO2t3h3PNd3r0egd/mij/WDPTgcl8nW4ynM2xJL47CSG9nVDvTg5WubMHTGFm7vV5tv10Zza99IRncKo1WkNw1CPHEzGeR7vvmz3dLI7MZewqFem+QL8XUjJdMqRfLe1wumX2bk2PEwG6TfygvzDvHeTS3lwLq6EZ+aw44TqXxxV3u8fc6/Vrx1SxvaPfyffLz+QCLX9PCsgS4+Os4iJjGTqNg0ktNyWLEjmi0HzvLMrX3o3MKPhJQsHnhrJVk5Nt7+fju7jsRz3aCmzHttKMnpOZyITmPxhpNSOOcKZVFC9M4PO/jg0b50aHqBLAsncO3ljZn1+x78xUSYg0a1/Th4Iqn8QvkSR4+N6pQVXWnoVCtaNwwiIsSL31ceK3YdcWOrCJdLneJFclxKNnPXnqJzkyDevqODfH7R1mg+vq8L7o5U0MpGPweqF28tPE5cqoWDMVqKcXkJ93fj182xZBXjAF0aobz3dDqv/XmMOoEe3Ny7dG2rfD1MXNUhVEaRrXaV9xefkM83q+UtRbIg1NeN2Xe24ZXfj9Bq2moS0y3y+TkrT8kocb3g87OjvN2NrHuuB0PbhdC6TvVslycyUG78cCszbmyJt0fR8/Zmo4HnxjZnbM9IvllROndtgV3Vh8iXEnfPWMkb3+/gt1XH8XI38d2zlxPkp31/UtItUiQLOjYLYeE7I3hgbFvCg7xoVjeAQV3rsP9EEm0bBxfYZo/W4Ux5dzW/LjsixxcVxbItpwgJ8KB1I+31Rau3P1Ye5ap+eku08iJ8GlweYz5DL5dYqvqAuAZ6RFmn2vHMrV24dfq/tG8aQqPI851rxbjYrk8BVRovfL+bPzaclo9X7o7jmfGtcDcb+OLBrgTmmxmvTET2qcUuBsjV4OaoIxnSJpjv10Uz5bsD9HshEC+3st+lo5Oz2XMqg0S7F5ky8lr2bfl4mNjzSs8S1yPmWO1S6CZmWElItxCbnMPfO88Sm2JhxvimDGlbdFQq3N+ddye04MXfDvPagiN0rO9HcoZWkiD+/2J5FON71MLb/dxt+9UFR5i7SXORH9utVrmj55WN4nhvPZpoPaiL47o+daTbdsfHlpX6NRy6SOcSIT3TSreWYbRpFEiftrXw8TSTk6CdBGmZFoZ0r8ur9/TAq4iJGZFive94klxemtRNriO+92/c35M9RxN4/KN1cnLrqj4lM5IrLXP+3MctI1rKx0dOJbNg1TFa1A+kQUTJHPp1iseizT26NOJcc6W6YGfX4FdXdKGsU+1oWtefxyZ0YMJzS0hMzebeMW14cGzbqt6tS5YRXSPzhLJg8LPLadfAn2A95VqnFHRr5MfoTqEs2hmPRzkdy3/ZGEPzCE/G9W1GoHf5698vNmDYFZXGI98fID7dIiNOAV5mgrxNUriuPZQsI8lXdw5leAdRvVw8Q9qF8M6iY7K+Wiy5JGdaefOvY6Rm2XhoyLkUzOa1zrXROn42s9oJZZFq3rtZICv3JTC6a62LOtlXZDRPp2bw4h1d2HrgLAtWn+CfDVG8P7m3fH7/8UQORyXz4Li2eBQzCZebqSayGJ78eB1De9STwlp8/1s1DGLGA72445X/6NkmnJAA5xU6pKTn8NqXm0lJy+HyLrXlc/e9vkymXT8yoZPTXkdHR6f06EJZp1oyql9DOjUP5YqH/uCjX3dx/5g2ciClU/n0axMqI8jZlnOGOa/f2h6j/nnolAIxGG0Y6ilreMV3WZxPp5OyybLYaRlZsr7Kqw8k8dG/JzkQncEXd7R26oy4za6y+1QaNjt0rO9b4He1/N1k9HhMlzCu615Lvg+BSCOfNHsPL49pIo24SkKvpoEMbmNk8pD6LNkTz0Nf75PPt63jc14K9vU9IxjTNZz2T62R771dXd9qdx0c1DaEGQuOkJZlZXjXiAtmoYj3Jj4H/dqiUxw9WoXJRUSPB07+k8Ubo/hlTTyHjkXRqXkIn87fw9mkLNo0DuKKrnW47oqmeX8768nLZHq1aCsnvkXCwCvE34MuLcPk75vXC2D8oCa8NHsz700pe8umJRtO8vB7q/jyuUGylvqFzzYwpGc9vp8+OM97xdPdxOQbOtK0bsl6rOvUAPQ+yi6JLpR1qi11w324vHNtfL3N1W5wWNPIL5IHdwynQVjJhI2OTn7i0ywyovzzxhhp7hUZ6E5qpo07+teWJle5CGfnHJs9rw5d1J8djM5g2s8HmT6mCR3q+8qU6f2JRadGn0zI4mhcJlGJ2UQGuNO6trf8f9uJNH5YH82pxGwah3nKxd1kYN3hZLnUDnSX+3hLn0iZJv7AFfUY3j5Emm79fH87ftsSx+1f7JY1x6M6hrLleKoUzr2alnywe9+guox6Z6usrRbp1wLxOhN6ReLvdf4tW6SCvjK2KU/+fJAPlpwgIsCdhY91zqt/Fu93xb4E/DxNdG3kX+TkQVKGRa4v0t3PJGXJx8GVVDYxuF0oQT5u/LYpmg9eXkvXJoGM7hZBv1bBMrInyMyxEZ2YJY3LrDY7RkPJU+n1GPSliUi57tk6jM//3M+I/m34cHIHeb1YtyuaucuOsv1QPEs2RRUQymIcMfbyxvLx0dMpnIxN481vt/Hj9MF560wa3Yprn1zE6h1n6N1Bi/6WhsSULO6fsUI+/vy3PRw5ncJbk/vIif/8uJmNpGdWg3zhakK1uA6IC5wrjWVLuS+vvvoqc+fOZd++fXh6etKrVy9ef/11mjdvLn9/7NgxGjYsut7+p59+YuzYsfLxiRMnuOeee/jvv//w8fHh5ptvlts2VVRXgIugC2Wdas1zt3fh+meXsHRTFAO71Mn7brvQpeaSYO/MYew8lsS419dyLNY5ZkzlQXz+hupxa9TJx219I6XwFKZZgd5afWBMcjYTP9st2yCN7RrO/K1xvL3wuJycyRV9IgjjZjTw6tgm9GkWmFenLiboRdryV6tOs+d0uhTHcak50o26YaiHfB3hZi3SmkVEWIjM67vXYny3cI7EZXI4NoP0bDuDWgXxzMhGsuXSqcQsxn24g4R0Ky0jzjlgCwfryYPr8eCgumw8msJvW2JZcyiJJ0aUrp5RCNSpwxuy6kAiD3+3Xz53Ij6rSJGcS918kWbhOn/1u1t5ZnRjejQJ4Ie1Z/h1QzQmoyKvjQ8MaUDf5oF5x279oSQe/XYvFrtKw1Avtp9I4dErG3LbgLqVcm6K/ejaOEAuT10LS3bE8u2KKJ7/cR/Bvm5EJ2XJiZFagR70ah5c6miyOAd0Lk3efVDrd773tI3Tcelc/9xiGtf2Z3C3ujKi3NURKS4KEXkWRIYUnPR1MxkZ0r0e2w7Gl0koz1t+VJqGeXuaCQv05K3JvfFwK/jd3nkonpiEdD2a7ET0JikVz/Lly7nvvvvo2rUrVquVJ598ksGDB7Nnzx68vb2pW7cuZ86cKfA3n376KW+++SbDhg2TP9tsNoYPH06tWrVYs2aNXH/ixImYzWZeeeUVqgJdKOtUa4Rb5czH+nLHq8vk4zaNgrQBoUEXSZVJbHKWFMmCA6eqvl+hGEtXUOtQnQpEGFqJpfBzon3SjR/vZNbyUzJ6++mtrWgRceGshdRMK2sOpDJ76T5pFHZ9Dy0lWkSOixJbIvVXOEnnCshODYo20BEie3j7UHmdaVREqygRlere2F8uZWVkpzC5NI/wlunW/p4XvlV3aejPrld7572vlfsTeW7uIRmRjUnJ5tPb29Chvh/L9yXw3sJjfLj4OJGBHhyKTpcTCf+7uRUNQr3YcyqNx7/fx8A2FdsGpzi83I2M7BohFyGQxWcYEeghswPKSjk84XRqCL+vOsrs37cwql8DXr+3Z4n+ZuqNHaWoFW2jCiN6La/cVnDAXxJEjf1PSw4y46HetHE4WxfFwrXHuLJ3AymmdZyD2eT6M2aKUZGLq1DafVm4cGGBn+fMmUNYWBibN2+mX79+GI1GKYDzM2/ePMaNGycjx4J//vlHCuslS5YQHh5Ohw4deOmll3j88cd5/vnncXOrfINYXSjrVHua1w9k+l3dZX/E714YhMFcHbuJVm8++ftwgZ8zsq2yNYeOjjMQA8z0HBtGReHyVj40C/eSLsixqTmcScqmdW0fmS4s0pU/WhrFj+ujMZoMtG8cwee3tZKtmC5GacTYFW2CmPrjQRkBF8K9ori9v5YlUxLyi38RMf59SidOxGcSGuAhzcUEA1oG079FkBTSok1O4yvqUy/EIy/FWfRlFgK6fkjVX0NrBXhQSy/P1CknR8+k8u+WU9x+VQsmjSp5j/ZAX3c58d60zvkTXhv2xNIw0rdYY67P5++RvZwtVrssFRCLzabK+6KPl7lYkSz6Os/8ZRdtm4bw4+IDPHZT51K8U50aEfZ2pdC3Y19SUlIKPO3u7i6Xi5GcnCz/DwoKKvL3QkBv27aNDz/8MO+5tWvX0rZtWymScxkyZIhMxd69ezcdO3akstFHsjo1gv4dI7ljZEvueXMFM6cN1vu/VTLfLdd6w/p7m5n1QFddJOs4lc+WnWJir0hu7hPB/V/vY9Cbm0lKtxLgbcJkUKgf7CnrjBfujKdDPV/+eqQjAd5unEg10dCv/K7Xhena0J++zQJ546/jvDH+XI2jKyEM9pqKCYJCAy8RMe/XouiBi9moVI9+ozo6JWDn4QTufWcVk67uwk1DSldKIGqZM7KsPDKhvTQGO3AiiaTUbOatOMrW/WdlD+b8iIm7ecuO8O6P2xncvS7DetWXWSfC2V0sRsfjhpF+/LP+hHTRrhOmRdEWrTvBNwv3ExWTxpn4DFlK9tG0AfpnrOMS1K1b8Lvz3HPPyejuhbDb7UyePJnevXvTpk2bIteZNWsWLVu2lLXMuURHRxcQyYLcn8XvqgJdKOvUGCYMaSZdKo9Hp9CqjrgBuU4KS00mMe1catrMezrTun7ZU051dAojnK8X747n70c6yajvZ7e1kmZbIoVaRJFF6vCf2+LItNh5/urG9HCkPIsa5Ypi3uZYVuxP5MOJLWrUB9a6ji9RCVnS3Cs3Cl390YX/pco3iw/SvnEwzeuV/p4k3NWF0dbjH6zj73XaRLCoyrjjqpaMu7yxjAznsuPQWaZ/sQl3NyOfP3UZzesFyj7IPyw+yI5D8TLbQ5iLffBYfym4H3xrpfy7Hm3Cad0oiFm/75U/z3r6cm6f/i8L3rmKJrrbtVOpFqNBF40onzx5Ej+/c6VIJYkmi1rlXbt2sWrVqiJ/n5mZyXfffcczzzyDq6MLZZ0axYShTXn9620kpWTQobE/3VqGSmfs8MCqTyWsaUSdzWDO0mP8tek01/erxy2DGlAv1HXcrvXAWM3g0/+iZH2xcG0WiDRhYZyVi6jfvaHnOUfs/NgrQCP9tCGaWStO89WkNue1a6ruJGdYZHq7MM8qL//siGNQm5Aq70hgV8Xr62L5UuTe0a34+p+DvDBnK33b+DLtppL3JM418ToUlYy/txsv3dVNmn8F+LgVcI7/a80x3vh6K1Nv6oiftztjHv+b+rV8iUnIJMdqIyLYm8s615ZRYhFhzi+wRdmYMAf7YfoQbHY7nVuEse+nCa4llmoI1SJTxkWFshDJ+YXyxbj//vtZsGABK1asoE6dosuHfvnlFzIyMqRRV35EDfOGDRsKPBcTE5P3u6pAF8o6NYpHru/AuME2LJmZ7DsWx7rdsXw4bw/TJnRgRK96Vb17NYL0LCvTf9zDqj1xjO9bjwXP9iXI9+IzjJWJGOdb7PoAubpHkl//8yiHYzP59u62ZdpGjs35Ii3HqhLgZSIx3VLjhPLMJScY3SW83HXX4hrx0Je7aV/fjx8eLLk4qQhybFX68jpViBCsT0/sxMbD2dz/xt88NK6d7E9cEkSK9PrPx+DnbS6ypZoQtut3xfD1X/uJScjg5S82SSd+0Qf58KkUurUK44VJ3WWa9e8rj+HlYWLJxihemb2JCUOb8fANHfD2qClZG66PRe+0VSleIg888IA06Fq2bFmxraBy065HjhxJaGjBtmg9e/bk5ZdfJjY2VhqBCRYvXiyFeqtWragKdKGsUyMJ8vPgyh715HLj4GQem7mONbuiefnOrkXe9HRKxsm4DO77eDM9mgfzz0sD8NQtZXWcjOj7O3vlab5ec0b2K35zfLO8nsCugIhui1ZVj/90kFA/N27vF0m/ZoFVHjktL8fPZrJwexwLHutS7m15e5hoEenN9uMFTWB0dKoCTw8THZuHsHzraYb2KPmEuX8xvcRFSvaVD/8pH/dsW4vbR7Zi4drjxKeky+d+fmUok179j9teWiqNvN58sDe7jyTw4qyNvHZfT3q3KzoDRucSp5r3Ub7vvvtkOvX8+fPx9fXNqyn29/eXfZVzOXTokIw2//XXX+dtQ7STEoL4pptu4o033pDbePrpp+W2S5LyXRHoQlmnxtOsrj8/PT+I8c8vZfWuGPq0rZr0jerO+n1neezzLTx4VVOu7V05PVZ1Li2EG/PLfxylZaQ3v9zfjlqFWkW5AqLecFy3WozpEs7SPQnM/DeKGX8fl/uammUl0MtMn2YB9G0WUGr3aDEjv/5wMrOWR8m+zu3r+dG+ni+XtwzC9yItosrLu38f5fYBdfF3Um3yHZfX49Fv9tLykWW8d3NrujcJkOnz+kSlTmUhTLi09k4eDOtRj7/XniiVUC6OEP9zmST7jiUy+5mBNK8XwHOfbiDA1427XvtPimPhOC+KY0XNco82mqDW0SkWxcVSr8X+lIKZM2fK/wcMKGhEN3v2bG655Za8n7/44guZki1EcWFECymRti1crkV0WfRfvvnmm3nxxRepKgylPQjt2rXLy1cXb+Lvv//O+31WVpZU/cHBwbIn1pgxY/Jyy3P5/fffadasGc2bN5cHI5djx47JG6gItaemFuzDKvpoXcxhTUfnQgiTjXuvbsWHc3fLwahOyTkRm07LO/9g6qytvHNHB10k61QI/+5J4MX5R3hudCPeuaG5U0SyWsGCeXCbYH64py2vjW3KpAG1eXZUI8Z1C+dQbAa3zdrDkBlb+G9vQoknCa77cDuvLTjC6M7hvDimKU3DvaRR2TO/HiQuNUc661YE20+ksPNkKjf0jnTaNod3DGfJU93xcjPINOwez6ym1aPL+W1j5TqX6lf7S5ODUck8O2sTAyf/SY7FzsAudaQL9qw/9pZ7DODn7UbLBgF4e5pITM2Wz4lNdmoRymv39+L76UPo0z5C1iALkaxT9ejXgUo4xqpa5JJfJAteeeUVTpw4gaGYSYH69evLaLOoYY6Li2PGjBmYTFUX1y3VK4sZgNdee42mTZvKN//ll18yatQotm7dSuvWrZkyZQp//vknP//8swy1i4Lua665htWrV8u/z87OlkJazC6Iv7/tttvkjEL+BtJCJIuD8sILLzj/3epcEohskaISRgZ1rs0Hc3ezdncsvdpodvN/rTtBeqaVod3r4OtV+Y3MqwOrdsfJ/7+b1pva/tXjGInP36DfGqsN4n7wwdKTUiT3bOK85rnGSshiExO8baTLvkbr2nB5qyD5njYeTWHaTwelE/fFyhQe+novb09oQf8WgXlRV9EfemSnMB78ei/j3t9GYrqVYF8zd11Wl3HdS5cZI/anqGiueP7NBUeYPKyh01Pcawd5svnVfqRmWknJtPDw13uYtewEo7tWXlZPZZwDOq6FmFC6atqivJ8//m0XKzYdlI/f/HYbh08lM31S93KVS8x7bRjT52yRJlE5Fhufzd/NM7d3pVurgq1tdFwDVwrUVjczr0udUgnlq666qsDPouBaRJnXrVsnRbQozhb56Zdffrn8vRDEokeW+H2PHj2kUBZhdREhli9uMsnn8gtlUQj+9ttvS0GdW8ito1Oqk9qoYDCcP38oboq5UeWercPkoHHD3jhW74xmxg876N02nFF9GtCvfS09PdDBnxtO8cWiQ/z7+iAigjzB6vyetBWBGP+YLqxLdFyI1QeTZD/k3k2dJ5IFbsaqiyOI60u3Rv50aejHM3MPc1WHUNrX8ymy7ZJoRSOCxQNant/f2NvdyKw7tD6Uwo36YEw6t3y6kx/WncHLzSgXIZ7FsevTPLDA9oXh2PytcfyyPpqTCZnyGN/QK5LLWweTlmWTrbUOnEkny2LnyvYFTVWciUgbF4sw9hLvtTLRbRQuPV76cov8f/dX10pzrZV7UqkfovD1wgPy+awcm1yEwVZ50rp//e8Qmdk22fLJy8MsXbF1XBOzqRrMmOlC2SUp81XCZrPJyHF6erpMwd68eTMWi4VBgwblrdOiRQvq1avH2rVrpVAW6dq33norERERchAxffp0WfCdn+uvv146nIl89A8++KB8705HpxCDu9Thw7l7WL83jh6twmjbKBCL1c4TEzqwaGMUr327jZSMVlzVq36NOnYiPUyki4l00dIwa+EhnruxnSaSdXQqiIR0K43DPGvkBNUTIxry/bpovl17hsd/SiPIx0zH+r7c1CuCFhFaC5rkDCvuZqVEk4AtI334+9EuxKflkJFjJyPHxpnEbJbuTmD6/CM0reVF3+aBHIjOYNWBRK5oE8Ir45vRpo4vMSnZXPPOFuZviaVtHV/8vUyybviV8c0rxYxMfL7iPejoVFQk+ZqnF7NP9Coe01qKZEFkiBdP3dKZx2/qyNQP17LvWFK52wV5uBm5ZXhLZs7dxfHoVD59YkCNvH7p6FzqlFoo79y5UwpjUY8s6pCFDbhwKNu2bZuMDAcEFIwIhIeH5zmfCZ577jkmT54sc9MLi2SBuNCI9G4RvRap3I0bNy7re9PRKTqqPFqLKmtCOZgvFx6UvQ3H9G8ozTdm/ranWgtl4bKZlmklMyOHzGwrmTk2rp2+UopkEc1pWdePvSdTeHtSZ/q1DZMOtcXRr204mw/G07eNPlOuU3GINks/bciqkYc40NvMvQPr5g3kj53NZM2hZO6es1emWTcM9WTWilOM7VbydGQhtsWSn2u6hkvH8M3HUli1P1FGs1+4pjHenucytiICPGhdx4eMbDsf3toaV2DDoUTa1PXDy11PAdEp2aRvz3vmy8efTe1H33ba9yYqNo1BD2suunOe6E+P1udSoMV977cVR3nru23EJWVx35g2UuiWB5PRwEPXtefO0a3ltqq7672Oq7heu1C6s35Ol00oCxMuIYqTk5Nlw2jhRrZ8+fJSbUPUL1+IIUOG0KdPH5555hmZyl0WYpOt0oG08Kyh2aicZ+QmskmrbD27vdB62mRBgfVsWlpeidfLt035uoWu30VvrwTrqSpmw/lGeFYb52+vpOsp9vK/30LrJaSppBtFpEUp8nVbN4kk4++jLNl6ltYNA0jKUNhzMhN/H3ca1A4jw3qIlbuTaBDhV+B9qKI5b9721BIcvxKuZy3ifYjXLbyeXXsfCSnZ0qike6uwvPUS07IJ9NHMj655fjk2xyngbjZSP8xbTkqJWsRagR74+Ljh42Pn25XRrNibSrfmwSzeGi3TMq/tW4fmdc59P/u0r8sL3+5izABVeyFr/s+jqPd7/udRovVUpdj3W9Ljkp8cK2Rbi3jdQtXrZoOo2yzlelZDuffvvPXU3PVKsH+lWc9WkvWUIvbvAuvle20RBC3ydQs+ddH1LEYvEi3uRKcbnbI9gfyuZBrwKpSDX9btOWs9s5cv/dv50r1FJL9tjmZ3dA7vTmxPnRAvYjLK8HkUWM9Ao8gguQjSbJCUZihwvjSrH8afW2KIyTCU/bwq5ANalvP+vb+OkGmxseZgMiG+7lL4NwjzYtLghmX7XhazXlw6eJude32R65mdeP3LXS/fqerU64tRde728s4Du/Pug471FKP9IuMIM8/c1puPftvDo59sF1Z0DOoSyaL1J2Xw5teXrsDD3cipRHve+/hl5SnmL9uH3W6mUV0fth1OZdOBZBpG+pdvvGFSUQwKqdl254yHctdT1PKP1wqv5yhHK+/46rz17HbXH2erKvHJ1aChup56XTOEsogaN2nSRD7u3LkzGzdu5L333mP8+PHk5OSQlJRUIKosXK9r1Sq9cYeIKovI9WOPPUZZMC/fgZu7uURGT0WUs1baeoWzf4QB0XnryXG0UuXrqRZbkespKOfZJpV4PbvdudsT69ndUKwWDIp2YTQVsd6EUBMzZq3j+U6hTKjrwSOvL+WVrrWI8DYx2E/lz5+3MLlNkDwGeX/tuGsU/br51rvg/p2/nhhxlOTzeH1XIitjM/N+bu5nJsTNQI5dZUtCFpfX8uKB5gE828KHV3YlkmKxM6muH8MiTBhqBxfcXp0QEix2blp/glMHzjA8whuLReW5TzcyrWUAHQM00S0aabinZ3Dg16208nNDFaMjiXreexPv9/w5+pKtZ7OcfxM7/8wAWxEGXUWupxixYMBiOxelVBVx5Avd5OUXsOA2L7aealXzXlct4t0W3puSrCcmYeR6hf5YDhyL2l5J1yt0gbEVtV4R6YKVuZ7Yx89OptPL3Ujmgv3n2ZMWtT2rWOki64kzNdPdh4ysVKdsL/96+aNHZT0u4uY7Nne9NSfJqqDjrBoMBc6XhikWUtOyWPnNDrr5nYs2/xafzYhg9wID4eLOq8IOWaU971Osdv7clcjQEA8ejTQTaIJMew4fbE+ib0oqrbxNpf5eFreezeyLzVrwHMh7H2W9vqBiFKrGSde/3PUM+czUjCjntSU5/wiUbD3FbJDnW0nuM6VZr7ARRHnug3nr5ftuFbWeuJ8PBAb2C2XL2Uye3BTHglVHuKa+L/e2CoTlu/LWy/3LgXhx++AI+T4+3pXAz3vOUDcrnfvbBpdvvCGEbUnWK+W4SRGK1MXGf8WuV8R1yNXG2QJjmp6xolM2yu23LSKiwpBLiGaz2czSpUtlWyjB/v37pQW4ELylpVu3btIxe9q0aWXaL2+DDT+jC6UwFINaycYm5UE1VMCMXAW0akpRVDwVOz4OoVwUwyLcMNt9eGR1FFPaBHFbY28eWnmc93rWYkwdd0YvjmVyc29886dn5ZvldSYqFz+uJ9MtLD6RKB8/0jKAvmGepFlV4rKsZFhVprf24529idy0/CQxWee298WBHEaHmfEooi5QZG7+1SMI73yDsybuPjy6PYbpbYLoFqz1irwiyMh/p5Lo6ReIXS0cO3MOtgrYrk1R8FHzhZVL+vFdZL3CWSCufB1w9etLll3lrah0UnPs3FrLB5PN4rRti0/prKribXfeNnMxFOmr75qIAXl+2ppteNhyeOdINp80DyDC3ciWVAszj6UwPiAIUwnqLMtbi7kxOVtOrAfYjQz0EWJdO09zapn4+FA8n7cNPH8AXsbvrxm14HXASRhV548vDKXr2FlilIrabkXcE0txbl0WaqaZl8qOhGySMszF3vPNqoq/op0D3+7Vujj0Cil+/apOTS1l+9oqRUTUqwPm6nBQ9Yhy9RfKTzzxBMOGDZMGXaKNk0iLXrZsGYsWLZLp1LfffjsPP/wwQUFB0rhLOFgLkSyMvMqCcNUWbaeqsn+WTs1lUG0fGvu58cj6GLqGePJUhxAeWBPNq13DGNvQTz7+sFetgmK5EjmaZmHMijPysb/ZwNRWgVzXoFBdf752Tc+2C2Z7YjYNvE3k2OGXYyk08CpaJOeSXyQL2gW4M61lIB8cSuYrh1AeWsuL69fF8FjzgCIiITo6ZeNkto2nj6XRxsvEjEa+5Z+11SkRIWYDtdwMhJmNPHMslY+a+vPY4RT5u5KIZGcwINCdT1oYePVYGpNqe+UJ78uD3Pk1OpO/47IYHqYbCOpcnBndw3lkXYwju6BkXFbbm74RXvrh1XHBGmUXmnhwpX2pQko1xRIbG8vEiRNlnfLAgQNl2rUQyVdccYX8/TvvvMOIESNkRLlfv34y5Xru3Lll3rlmzZrJXsvCOExHpyJo6OvGnH6RzD+eSutAd17pGsaLW+O4p2UgXUI9uWv1Gc5kWM9LYa1oRCr1lE3azLfg9wGR54vkImgf6I6/m5FQDyN3N/ZnaBkGA8k5diI8TXnvWWyrqa+ZtfH691CnfBzKtPJDbCZPHE3lnoMpjA/14LG63rjrN+RKQ4jSVxv5sT/DipuiMONkOtkqdPM1czJfNkpF09rbJD/3zamWAvs2uYEPn5xMJz2vzMN12JdmocfqaA6kOT9LQadshHqY+GpAbV7vemHDyS1xmdy34jTeJoVOIR66Q7WOjk6JKNUkvuiTfCE8PDz48MMP5VJaGjRoUKQY+eSTT+Sio1MRfLYvkTUxGWTbVdKtKl1CPEi12DmcauGBVoHypnrTslPU9jbxZd/ISvsQfj6eJoXx+Po+lX5Dj822siQmkz31LbR2RKyH1fLirzMZ9HHULuvolJZd6RaeOpbGwAA3hgW580Rdb/wKZTToVF5U+dVGvkw5nEK8xY6bgowyP3w4hdkt/PGphLIlcV27NsyD76Mz6eRrzku1buZtZkiIB1dviaejn5lhoR4McGS3VBVpVjuD1sfm/Rzspp+3rsbF7pMHkrJZHZ3B7Mtr01K/j+m4InrqtUuiX+11ahxFGZ4UR6tAd46lWfAxG2SKsjDGerJDCPetPsOhFAu3Nw/ki36RnM6wynrgyuClnfEsOpPBZeFV01f2yghvfE0KjXzOzaNdFubJ+vgsOWCsLiiVnAWgUzzCFOp/pzOYXNubB2t708/frVJEsjCf0Smapl4mOWHR3c/Mb20CmVrPR34ub59Mr7RDNijIHYsKjx5MkeaCudxX34dfOgUzNNRDGr1NP5RCRq6Vfz5Euu3qxGwWn82q0HMgVyR/3SGYdb1rEVxF5Tg6ZcOAnSVR6TzXJYyOIZ546BN0lxyG6iSUXWnRqR7njo5OaTChlnhw1Dvcix8vr0MLfzemrIuh/4LjxGbaeLx9CPeuOcP+pGzqepu4rpEfNyw7zb+nK34QeV19X0wKMsJdFdT1MtE/1JM+/55mZ1K2fM7XbKBLkAerq0n6tfj8Tec17dGpKv5MyMasKAzwP78TQUVirgDjtZrEuFAP/k3KyStFmxTpxeFMG4sTtO99ReNmUHinmR/tfMzctieJbSk5eb8TEymXBXswq22QXO/WHYn8GZvJoXSrXN4/lsbVm+P59nQGbx1NLSC0C7xGOY0CczPdZrYJoql35Z6/OuXn5W1xfLInnkybnVENL16+pFMzcVP0e4FO2dCFss4lT5iniY/7RHBzU3/m9I/k12MpnEyzSHOvKetjpOQWkeX/9Qjng72JzNgZX6HHrKmfG1fW9s4TqVXB860Dua2hL2vjz+1DUo6NID2SolMKhHh56lgq38Vm8Ug+0yYd1yDUzUhvPzd+O6t9z0XN8HMNfHj/VDrROZVTr2xUFG6J9GJ8uAfzY861v8tFZPpMbeTL/fV92JJi4YVDKTx5IBkvo8LHbQIJdzNQz9PEvOjz/9YZ5J6zM4+f32KqurAtIZtlokn3JcgvR1OlK/YzncOKbGWko+MqKIrB5RYdXSjr6OQN1gbX8aFFgDuf9YlgzsEkWgW4E+BmYJsjiirqmkbX9yWxEgaQDbzNHK5CwxgxOOwW5C7rkrclZcu67UNpFjrkc9nW0bkYv57Nwteo8FVzfxp56r7WrsgN4Z78EpcpfRoE4nO6MdyT6cfTZF/myiLZqkrh/kdsJtdsOctHx9MK/L5vkDvPNPHj6/ZB/NQxmJvreDE7Kp2FZ7MZH+HJvJhM/jmbJaPNlnK2RRPRx9R8ZSY31fZmRz7TseqCiIZfufIMt62LYcmZjEuy5ENkZ4mMsBaBur+GjoujuECqdf5FF8oSfeSio1OIYA8T4Z4mKQ6vrOvD31FpdArRWpVk2+ysi8vk/T0J8uYrHDedzYazWfxvfxLvdwmt0s+mS6A7kxr78ei2eLoHu9Mx0B2z7k6sUwrWplp4rI63ft64MPU9jLTyMrMoIZuRIZpp1rWhHqxNsfB9bJYUzZXBiBAP7t6fJGuna3sYibnAhKQQ9c8dTJGeCSLm0T/QHZF5vTYxm29OZXAqy0YtdwONvUzUCXOjFVnycS13o4wqitrm2Gwbp7Nsct3T2TbOOP4XP2fbVELcDPzUWbsGDwrx4OtT6VjtKqZqdA08nmElJsvG5z3C6BRUtYZolU26xc7n+xMRFUzCjDO3wfa+xGxUVFoGXlrHQ0dHp2zoQlmnxqGWys6raLxMBplqPLi2D9f9G8XUdiGI6rQ7mwdyVT1fvj+Swth/T/HTZbVl6rYzeWCTZhzTI7Rqb+QiqnxlhBerz2ayMDqTUZHVq++kvZzngE75OGuxy6W5Z9UZH9n1VMsSMSHcg5eOpzE82F1m1wgx+VR9H27cm8R1YR6V0l+5joeRa8I9mRWVQe9ANylsiyLdZufxfcky+jy9ZQD37klie6pFGn+JRSAErWh1dTjDyj7gj5hM+TjJYpdGhYkWu/z7SA8jke7a//2C3Yl010S6n0lh5KY4fjmTISPZt2zXym1cXSSLCGqff08xq2sYLf3c5GSv4FITyQLhMSJSrm9s4k9dH5EJlc2xlBzuX3laZkq81SuCTqF6r+5LhWoxHnA1Ay1X2pcqRBfKOjUOK0q5bZxEJHnaxlimtgumqb8bc4+lMKaerxwo1fI0MaV1ENEZVmYdSJLriMGlsxAmNt/2qeXUbZaHl9sG82BTq1afbFOrzU3RpqcNVRmZNpU3o9JlK6iqrAu06OdAiWjtbSbUbGDe2SyudYgH0UIqUpSepFnp4ls5JlY3RnoTl2MnNsdOA8cEpDiXjIpm/JVssTNlbxJtfc081MBHnlv9At1kunYnP3NePbG4Tjf0MsmlnrsPzYO0jgXCOTvVqkWLL3Z9fbSRnzQPW5OQJWOR77YKxNURxyPbDjeuj5U+E5eiO/dPR1J4dftZ+fi5jiGMbuDHXruJhKx0Hlh1hgfbBfPO9nhq68ZslxQ5qmuMp3SqH/p0gY5OEVzb0I//9azFJ3sTOZVu5ZejKQz95yQ7E865Pj/bIYSoDCtTN8aSVUTrkrIiWlQJl2lXItzDpKfP6pSIAxlWBu9KJNxs4P5qloVwKfNEPR/ejcpg5qlzzv431/LkpWOpvBuVXqBmt6IQxl1PNPajlY+JN4+k8tSBZEZsPsuwjWfpvy6WUVvO0jvQnckOkSy4OtxTpku/cjhV1hGLaHJxeBkNhLsbSzQJ2T/Yg8cb+7ExWXPi3pKczbrEqjNYLClL+0fQOdCN53cnMudYCpcSm+Iy2eG4R/85pK4UyQKL3c5Dq84wqoEvnkaDbAsZXkzGgo5OlSEyVlxt0dGFso5OcQjzru8uqyNNvlJy7Iyq58MXB5Pzfu9tNvBu93D8zAYmrY4mIds5Jl8iaGusDmlCOjpF8JZDaE2p7eUyWRE6F0ekILspojfxuef6B7jzdcsAGdV99UTl9Ve+s64PH7UOoIOvmfmdglnaPZT/uoeysEsot9f1LuCe7m0y8G7LABkl/t+xVK7cdJZH9yVJ8VxeRER2fKQXzbxNfHUqgxfyXf9dlQA3I592CePzLqFcU9uHv/tGUF0QHiBTN8QwfNEJOs07wh8nSuY0fjglhwfXRHPnqjMsOZXO71fUJdLrXBbEnyfSaeTnxu0tA5l/LIWRepsoHVdEilODCy36/VugT6np6FwAN6PCg62DZIR3cVQah1Jz5M3c3ahFfIW5lYgsf34giVtWnuaDHrWo51O+NEUREKmK65NwSI3PsXMkzcKhdAtH0qzSeftUppX6XibaBrjT0ddMzyB3vc2GTpEIA6bTOXbmtgrQW0FVQ0YEu8t2S4VLQR6p6811e5I4mGGVZluVQV1Pk1xyERFkj2IyiYVYvqueD3eBNPj6PTaLqfuS+LRt+dOl72/gJ1203z6SwqbkHDYnZyPmRM9Y7Fwe6kGIu2umNwvzxepGhlVlcb6Mhmc3x8lF4GM2MKKuj7wfi8yDNKvKmQwLjf3cWB2TwcqYDL67rLac4C7M8bQcJjX042yWjd0JWbzVq1alvi8dHZ3qiy6UdWoc5bfyOp9xDf04lW6RNU+5Ijnv9RRFmnwFuRt5fFMs3/aPLJeQtKNWulA+k2nl1o2xcvAhoke5NPY28X2PcI6mW9iZnMOs46l8ciyVhxr70bmIAYkroVRiaxsdjY9OZzIuxEPWu7oCBofTrU7JGBzkzlNHUuVRGxvqkXcdE/XBwv16TnQmLzfydenD6WMycEOkFzHZNl46lMrtbYPKvU0xIfp4E3/+iMng4T2Jsg5Y0DHALU8oi4lGgav1Ck+32uVk5/WromWrpGGR3rzQPhhXJNDdyNarGxWIFJ/JsJJisfHUpjh+OJIihbQQyqcyrPL9eJoMcnL63R7hRYpkQYcgd/634xR9Iry4oo7vefdwnZpPtfjEdTMvl6RanDs6OqXBJISmkwfIIs366fYhNPcvXhxeU99XumX/HVW+FMVITxPH0jTzmcpAiOA39iXJSLavycB1dX34pVe4/N3hdCu/RqWTYlEZGObJZx1DuK2eD6/sT+KRnQkcS3fN3qLi8zeV29JNpzRsTbNwINPK+Cp2a8+P2a6fA6WhjbeZz5r7syo5h0cPpxaYNBPR5rUpObK1UnXggfo+Mv16V7Lz6opXO2qUh4d58lqrQJrmyx4SE4jdlp/hf4erNj37se3xLDyTwTfHU/k1Ko1+/52WIlnweY9wNsZncSBFq7t2BTKtdnKKMYkU0eIOwR6yXVcuEV4mKZLf7h7O0ivrM29QHb4ZUJv+Ed7FvsbgSE9CPY18uCuBUXra9SWJm1IN7gVVnmpdxKKjR5R1dJyFiCQ83DqIxzbGMijSq8yz1kMivfnqaArPtwt2SjRhc2I2e1JyqO9lpo2/G3U8jXlRDzEAuXZNjHwsWqS83i6YVv6ilQasuCyS9fHZHEqzsDA6Q/5/NttGPZGG7edGuIeRu7fHc1mIB3c28NVcsXUuWWZFZ3JPpJeMPupUX8LcjLzbxI9njqbxd0I21zgmPsTn6mFQyLEjW+W5OvvTtXZQTWQPXeeI5Ycb+vFoVqI8Dv0dPadzWRqnmUgFVFE2hWgF9ceZdP6NzZRLfryMCuPq+9LCz43bGvvx8cFk3nb0iK4qhDheEZPBnINJ7E3K4aHWQexKzGZahxAC3RzVwlkAAMP1SURBVAwyDfvBtdFsideOq/ACmdM/kgY+ZjkFWhr/A7HmC13D6RORJo28dHR0dEqKnnqto+NEWgS4yR6NUelWORteFiY29GXMijPsSc7JE62l4XSmlQVR6ayLy5Titr2/uxTIq89m8f7BZOp4mfi0izZIcjcqbL6iTrF1f5eHe8oll4wsG0czLPwZncn+VAs/dw1jzok0xm+Mo5mPifqeJnoFe9An2HWiijqVw/Z0Kw9E6jPQNQEhQvoHuMneyleHuOdNrAmBmGFXKT525xqINlAvHEphWmNf/E0G0TPQKYS5G/m4bRDP7k/mkV0JvNwqUIrQDYnZxDnMHCuj53RRInn4yjNcFubJB51CSM6xU9vTKK/hjXzMqCatN7ZgVF0f5hxJYU9SNq0qqXzmdIaF4YujWDq0HhlWO7FZNn49lsLpDCttAt3pEerJ8ugMmWY98K/jeTXJ7YPc+XZAbcI9jQR7nBuuGsuYFTa6oeaCraPjkrhaFNeV9qUK0YWyjo4TWXYmQw4EGpWj76ioubqveQAz9iQyq0dYqWve3tidSJCbgXsa+9EuwL1AhO/hbWfpGlT2wZGoDWvp60ZTbzOTtp3lhX1JNPA28VabILLtKusSsnn3UIocUDb1NrlcvZ5OxZCbjvvksTS+bu4vxYNO9SZAFIAWoo+/mWeOpvJqEz8CXaQOPT+iTnhrioW/4rLo5u8mW0mdcPJriBZTr7cM4IMTady65axs5xfsZuDJ5gFyYvJEZuWVzeTibVIQl9qHmvkXmdmT3zND1Fvf0cSfmQeTmdwiQArpir5OhzlE7sCF5z6NYXW8+bhXrbzMq+Qcm2zBKO6dIo367haB0kzTKeiXI53qgC6UXRLXu9PpFOCPw8nsPFswjUrnwqgVYudVMuYeT5WGWFnF1FyVlGGRXrIf6JLo0n324m+2JWYzpWUgXYI8Cojk9fFZHEu3cm0dH8qLyaDwdpsgrgjzYFtSDr9HZ9A10J1b6/vQO9idZ/YkMmxtDC/vT7pgX9OKxK6PjioNEUVb0jaQXn5m3j+dgatg1ydqykwddyN13Q0FRNSUOt509zMzaV8SR6tAEF6MH85k8uSBZPamWbi/vk+FXQdExP3hJv5MbuwnJwm/6BTK4DBPfEwK7lVQejDzcApNfMzSY6IkjKjtzYl0K2NXRnPGCW20SnK/2DKyQd7PL3YM4ZXOYQXKk/zdjDT2NUvTzH7hnk41tLSrulK+1NHHAzplpcZGlONWR5Flcl7NpFpO4VNW5sZmsSvbzo1+Zsb5mUpUl6NWkDCxV8B27RbnGyzEevvhmZVFao7zTFwEduvF97Wnxc5xA+xcfpLIEt7pbcUcgxttKm9tO0vDvcKIomTbOmBXCbNC4qpTxOUbx4p08EetcLcRolacpqxYC42pzqgq21U4k5LDDWcyZIajsPfKcFxcPKMz2H0mg5+BDSIiLSJV+RcFRBJ4N9ESy4kD2gwPD9JM7iQnOd9YpyL8oSrKc6qy9zXApLLdBHtP5LiESI6LcCPzdBLVgYrKcivrdq2oxLjDvrXxBb6bvUS9sknlvl1J3GuF5k4UIeU9BssMKnep0CrLxsk1Z+Vz0bUNqDGaD4MzEfua22TosOP/f+0qoxQ4XMbJotIMWeyqyg4V/rZDnAovmoq/tpuKGOk9YFf5SIHr/jvNVSYYby7952gsRVZBtF0lUIEBJuhwKIGow4l5vzthU3kn006MqvXxvmvlGa5wN3Cvt3PGcNFBYXgla22mnImhgrIqDBUw2aJUI+8IpQIyks66+1M9+ii70OfkSvtShdRYoVxT8FIUunoY+SLZQm2zQr9K6mGpUzYGmA3YVTtPpNuZ6mmgdRHpiyWlhVGhhU3ldytcW8JM7vU2aFvE2EIIWFHtHO3kuY72wDOKdiERu2hyLLmCWKT8RaMSpYLwAr/fsa6Qr0K+JKkwX0wICbGMyrV6FLhas9oMw6peI+s4ARMKvqjyu1q4G3E3u4KvqvKJCaZbVLxc6HsrpIszJ91Kg7juVcbpf1JVedMK3goMNUBPpeSTqbk0Myi86wEzclS+t0JXo0qjChwYr7Go9DUr3OZRUFzG2lWezbBzi4dCF5Mi66p/zbJzvIqCEzo6VYbiYjXKYn909NRrVydAmC1l2Xg51J2+nrqrcHXgcjcDj3oaeCPTzrJyRsxvMsEfVlhnUzlSRERfRIrP2FUZXVhlVVlpgxFFzKWsUkFUJrdx8jjIT1ForSg0VxQaKQr1FIVIRSFI0cxjYlXRpgkeV7RBpBDrYt1uisJgRWGcQWGKAlEOsbwRFYve+7ba4meHdNfRTDrlJESFg8WMlVqqCp3t8LML3Ja2KCqzDSqHFTBXob5qosChCn79ZFXldSuMM8KrJoX+BqXUIjk/YkJT8FcFZ9Jvt6q0KSJSmGgHTwX6mxR8xMSqHeZn2bnVywVOLB0dnUsePTzp4jwU5MaDgRVvtqHjXNqaFF72MvBipp1jNjv9zQr1DKVraSEINShMNKv8a4XDKowyqVxuhK022GTX/ndXhGAWtdnwkjsEF3qNTXaVmbZzAzlnsUJVOaFqERQxxhqkIMVyLqtUlZkqiCZXqaJfJvCsCjNRCVAUtqoq61UtWjUBOAJ8LNpjAeOct5s6lUgHG2wzQnfXK1/VKQNXW+BTN4iyqYy0alHm/Fxjg6fNWslHsyqqAz2IytcGuMoOg+1Qu3A0uRJ3q7HwFanA7WeKSLINBhigj5Oiv7eatcj0NieVKotJ23ezVHZbVa5xVxjups20dDYp/JZjp5vJUOA+2MyoTaL+nqPiqah8m61yi5eRECdHt3/JsPFXpo0gg0KQUSHCALd4n2uVqFOzqRZl6rqZl0uiC+VqgH4hL+XxcjjwVjV1jApvehn4Llvl7Uw7cXZoaoTr3EuXkj3QpDDQBAmqysvZ8IMF2hlEqpw2yBGiU6SvKQ5hXZgIx1MDZPmL8+4WscCfQH0gHliuwp2oDHC8RiOgrkMgK/nSsZ9UYRgqf6swRoE04SmgarXNLYAra9h5cCnRxgrfu4MlW8XsAum4+jlQPoT4fT5bZbYZPjHDfeJLmg9PFCZaVWab4EVL5X7mexQV0UholQHG26FHMSNhpRLNBBs7JvyEWHTmtVawz67ygQ26GGCMEzMihWgdZ1JlRDlFVWWWUHmIssN/Fu2Yf5wlMorsDHEzcJWbwlabyg/ZKhM8lALjmzs8DPyaY5cTvi/5mmhQjpKlojCoKoeFcPcy0sSkcNCq8kO6jZuFUHbqK+m4KuIccHl0oeyS6EJZp8Zhsttd5qLob1C4R+SVAemqyjYrMiX7WjHTbj7X27IkiHTmN91VxMS/udDfhV1g9j3MIVLvd/Lg41pFoQ4q+1XwV4SrJETm+71IwZ6OKgV1kNgHxz6vd0SaX1CgvuM5Z49lFbsdo1JBDlk6xeKNgqeqkiRM2lzgK2gs7D6nU2p8ULjHovKYO8QpKqGFBGl7VWGtXWWBEa6upMN9CpWZIqqqalFkYQZYHCZb5Z0D3oqCvyiHQUS2nYNFVfnFDsvsmhljxwqoIxZiuaVBZbcdeubLeF5gVWlm0OqZS0o9o8IfftpGPsm080GWSiOjSlOjwmQPA5PT7bQzqTLrKhcxcdza4WRmcPJ9KvccSLar1DcaaGE2YMBOgKF091+d6o3Zrt8LdMqGLpR1dCpxENXbLKLKBt7NtDMvW5Up2f0UlXolHIiIG3tpgwnCNMuPiqGHotBDuXDboPziWdBdUeiMKn+nU7NIVFSZhi9qWysTOypbRD2/GaINWprdxCxoWbm7UWMRKde9bCqrhBguIq3+Bhs8YxYmXyq1KyjHUUUlATikwBIDDLfDUBfMp2zscMF2hlAWHhTP2CAEmGEC3wq8ZiarYjJWeywi4qJnxOcWbZD4i2fZtnmXp4EFFhv/5Kg09VTkxPFkT4N0uH7b2yDFamWRbNcmrgVNTYpMYz9utVO/hC21dHQqHPH9diUDLX2MJtGFso5OJSOiv694GzllU1lmUXk5B7xQ6W+EfiYtcuxM5tqhswtdewW6SK6ZbDZCsgHuki1sz6nluzOhk835g+J0VF73hOh8UbDOFkgwwNeecLVJZajTX/XSpI8N3nKDUVb1PFdpPxSG21T+NsAdTgzc5KCyVBhkORbxqk1U6GqHy1wgY+FChl79ynm6n1JVttqRLZNeNVVsCZbF4TfRyPESO+zwvLwvaa3+PsxRuc0sTLfKtg/5T4n2JkWmYT+UbmeCu8KgUmZWlRYh+k/bVJJUFX/HfTBNtKFyeGvo6LgMQiS7lFB2oX2pQnShrKNTRdQ2KkwwKow32Nhvh+U2mJIFDQyaaBYpcGJgooobvYpc54AdhCa4sYSDlm12VQ56RDQiFzGTLqLMiSqITpbCDbujUnqjMR2dotpDCfpawE/VlmUm+NgTOlhV7skSYsc555lwR5/iA+4qPJ8BkfaC2/3HDP8GwkBco166uhOhKoSoKrsM0KGI33tWwIBihQJbDFp69QS7KOEo/eeoVLKLfhPRz7mc21hiV/nJpk1wPmCseJ8ScV8RXhL3Z4v7jsoSq0i5hxfcNZH7Rg7EqqJUpvTb7mmCxRaVxkZ7nrHX1e4GOplUPsmys8Si8pKXAfcKeo9bLSofZdhItYuIPPJ++n6qlcvdDTTWo8k6OjoXQRfKOjUOezUTfGIQ1MIo+ibDbY4owjIbzLZAPYPKCccNvrlBW8TPD2fDI24qTS6SunZM1Rynn7NCFqoUxmKoIpymAxTtf5HOOFuF4QaVywxljxq4FGKCQRdHlUqKopKqwKvpEJwvJfYyC/xtVpnnDn+ZYXghQ6iyIirQ78mEjsVEqi+3wn+Kwi5R16mXpzmFvlb42wQRVpXwQt8vYconEwmclEp/EFhq0ARym3KkWNsrOSrSQGY6iC4FKo1LeS3dYdfqkUV09yUT1K2ka3FuyrWIXv9mhYfNIrvp3GsHy7Z9ZeNJLyOvZdiksddAs5rnVVHfqHWGEA7ZX2Wr3JnP4MuZpKrQ2mzgzmCzjFwvybLJFlSPOeqodS4N1OowrtHNvFwSXSjr1DhsBkO1E8u5CJOubkbkIsy/jtihvkHrV5yfDTbNAVu0ixppKt7NerRRkQL4pDRa0lyni5q5P6Kq/G6DX60w3aQSUU2PX/6bos2opw1Vpkh+ywMGWQqK5FyGWRTSFJX57jDYSe7IwjCs5QUEsEgPnmwx8YIHPJ2hEumC9azVjS52mGWAx93gkxwV93yfY6YCbmr5apAPCbM/A2xQtGtVfzu0KmdA2GqsXEEkMnNGoTJXhcdKecr9aofeihZFDq3Ea3CEQeE3T7Cq4lM43yxSaGZrOT6HSDmhq7IwR2W06GeYb5J4kgc8kGaXIrpREX2Wy0sHs8KvGORks+C7dBtT/UznvUedmo1FMVaTGmUXOi9daV+qEH0kqaPjwuZfbY1Kke06uhkVZnhovZRfykHWXxWHGBCI/sbhilJsepv4/WSTQncD7NTNonVKyfse0M4GQy3F31jH5ii8mY5TRLLIjnjGG06W4A42JAf+daSE65QPIYwfzYG+Ni3q+IlR5bQjtbmRHfYZylaH/ItR5VEzzDFq6fpP2uAFmyLNugrXQ1cH+oNsXXWslN0XklSt9V9liuTC3hFFCUhPR8ZAWRnupm1zVrZa5H2ul1lhZ3mU+AUQhmGiheKEeAvvpVpl66kzog+Vjo6OTgnQhbKOTjUlWFF4wQ1aGeCRLGSPyvJS3zHA09EpDf0ssN4ERwwXPgf9yxnVFfGuP80q073g5XRoWqguuSgut8AGs5bOWxlkV3JNbGXTyq5wu03hNQs0UuENM0QpKm1UOKlASinefyIqb5ngLPCoBabbFK5SlfPSuqsbQnBepSCjyqWhjgInXfD0ESU/onVUWQk2KHS/QP5iEyMcqsAJ2hEeBlJU+C/LTl93A99l2HgiycKTSRa25dhJrcRe2zo6FzXzcqVFR0+91tGpzog0v7FmaGtQeccCXhaVjrLXpuYOW9r0smggvML2Vqem0teqEKyqfCjSnDNVfMS550SxI9pOvesJZxz37dbWkreg8kXhf6JotBL4wU3lPzO8kKFSq4aneovjeoUw2FJVaRb4mBU62GGTAS4vQvSIiYooBQ46HKwPGkQ0WUuvFv2XKyxyXEUfw2XAfITwVUtcayyEcpQK3XAt2hpgWg60MKh0L5QeLVpYlcQIspVRYb1VJd6uSuGcn6YGhR9sFaeUw4wKt3obWZ5l56BV5ZQN2XVCsC1Z875+1s9ED3ddGNRUqsXl2NXEqSvtSxWi1yjr1DiUUqa71QRaGBVmGlSOqLDFBt9ZNdOveorKXhU6KFpaX18DjLpAHdgBFW6qIdfGS/E8qEoC7JAq6ldFMTzwVpoqxVR52GRU+TRfD9ex2VoddEmdsyv7HKhv1wZkz3qLfVXpaBU1285z+nZFOos3bNXE8kgrrDMWFMoiwjzbBPsV7ViICby2KlxtgVAq/tgoVRQtdFMURqAyT4UHS/gW6wqXbxcsfWniuCcstkJ3oyaO/2eBQ9maMdaXPoa8HsXFIcy7RE7IKbuIMBf8XYQBkuyQoapOM4TLj0FVGeihvWiMTWWar5F3Um2yV3QuNfcbqpN7DujolAVdKOvUOEx2+yV5URSGXqKHpxjUjAOSLSqbVdhrg24KfKpCjl0I5ZL10qzOKHY7RsUFR5w1GNG7WDAyG66waPWs5WGfUWWPCXzt8Gim1p6otBitlWt33d0Kf9nBpMLP7toi6rL9a/jlSIhl1aryrUmknsM6gypdycXjJQboosKdVtGXt/IvLiZb1VmeDwT+AE6rKpEliLqK62+I4pqp5D97qEzKgli7SqACq23wnrdB9kPebwM3u0r7C7SyEl0WBG2LuP+IX3krcNgG7c0Vcw4EGRTGep178RCjIqPKv2XYOWpTeSHFytdBJunK7X0R0a9T/TDbq0HrA9312iXRhbKOTg1FmKT0U6Cf4VxkZ569+FRAEY0WEQ0RCakoslWVH1RwE9FBRRuAJagqAfp8frUn0XHa/O6utYQS/bnLypNeKmcN8EkaTKxG54ZIH56YpfKOJ/S0aEZi5a3Lri50cYhlET3eaAAvVTsHhtuhVwlqyWsiwjxxGCq/qXDvRQ6BXVVZocIzLjoqE2U83ooq0+XFYwMihRraGeEfi504RxvDez0NDpdrZJr1LWl2fvM1sNqizRZlOczB8nPMrvVprkzPvVZmA63McIWHkeNWO/ckWrkpwYqnArd4G7nKsxq4JOvULPTUa5fERS/JOjo6zuZao0IdReVFKzxqVGleaNZcpF03r8DxrBDo74mIiYgWimifKur4VB4Qg0NUWlYjQaRzPt2ssMcCm80wReZPqtyUpdUvl4b/eWgi+cmMik3LtaKSoQiXZee+hjAYey/dOS2wqhu+omYVuM0q2tGV7v2LGubNCqxQoC5wtd25de5VxWDgIdmjWJWdB4pjryPqWttFW7LkqCrRqhb5FZObYhJETHi+4K0JSpGO/UeOyqsZdt73MRbozzw6VcvuqaWARxHbFunYom9zi3y9myuSPzNt1DMqtHXTZpHrmwz8HGzm8WQr7cwKX6bbGOph0FtI6ejo6EJZR+dSoodBwQeVN21wLyqd8onl/Sr0cXJ98m5VJUG0PQEWqDBGge9VGA4MUOBlR0rqS8BNqDQHGjgiczrVC5FqfVc2rLGpzHGMhn1LmXK80KyyywQPZEIDZ0QhL1CCIUy3RGr0J2mq0wV5TRB4pWWOUWWZIwhnuci66aikAqkK8v+zCvxrBH9gkB0+NcAweRzLj1LFLuQilXcoKvNVmHSB02KPCp1c2B9CfBZtDPCnVft8rzAVNIuU/aPd4G+LyhGb1hNZpGFrlcnwkIfCIIcwLcxhmyrrlCuC37NsdC50IVqYZSfBpiJaOotb4OdBbjLd+glfE3cmWmhsUjhqVWlmvvS+xzpViB5Rdklc+LKso1M27C46I+8qtDEoTDHCKzZRE6cWSC8RNXLlxaqqfGlXediu8o4Ku1TNyfVFBa4AAsWgEHhKhc7CbVSkugFxwEfCObgUESjRiicVlThUGSHMQxHDY/08qAp6WRUZSRZ85Cn6r5bspBKf31x3eCoD2tqc89mpouarGK6wKHyUVrONtiqTsTZ4JwfGW2G6GU4pat73dI+ickhROaaovGNSmWqG903wqxHWGCFagdut8JRNoamqRabLawSXi90FnFuHABtF+csFJm5EpDa/uZSrITIFROuqLgb4zwoji8hHFML4crPCixl2/pepRZFf9tKOf67T9RaryksZWr3oSVEbnGFjrVWlbwWI0l0WO59k2IkrdC75KXCfr0mmkafb4YSjh3MtI3RzUzhsVTlSQX2ddaoGtTqMC8U+utqio0eUdWoeNoNBF8sXoZ7j+ndaPff4VqPW4qW9cn5admn4UdXaTE1RxCAZ6he62Hqrqkwz/EARxjXa71o4xiTxqDzh+D9F1lWL6JPWLuUqKbIVfhI1f0W87p2Oliy5N0WbseoHyJcqfayQkw2bTEhDLpGWfTFMKHyY5tyUZZvJeNHX1HEOItVaGJ4Ps4vWXSpvmERtsirrlYWZmZBG6QoMt8ED9mKOvQK7RWqvInorq4Q44fOxGqu+1tRLUWivqmwRmTTF1CeLq5XoTOCqHLBrNeeb7NDbKNLEi/5shpgVztphoUUlxm7jVhG2FROiGXbqGsT9AHbb4MNMu2wXNd5dkX8j/CqczQ8OsX4cAx3zPS/OxekpVrq7KazPUfkxw8ZjfiYZFX/e30ysTZUTFzo1B4tS9dcBneqJXqOso3MJ4qso9FRUZogRg01lpglCFYV7jCrv2+ANRZWDu9ISJwxpRGsgBXyK+PuzqkqMI6p8SDiPFvp9MAr3o5IpZv3RUjFFyt9SYBqinYya1+v5Dkff528QaeTCUVcMgFSMuvipckSUdqBFpF6rzHMTBj4qPayipvHC59SlmLJcE+mqKgRaVbYY4CEr1C1FHbhwyRZUA4/aUtFZgTWqVnJSmE9E5g1I88WS9iWubEQUVkys/mKFV0RxcjEEGBTu9oABZoXTdpWXMlV6m2C1FU4KM0nHekEGmOljkKaTFcFPmTa2WlVCDcg08Pzc7G3krE1lrkNIi3rk/PgZtJR5HZ3KRURxXWmCX/8O1GihHH8ig2wnziTbq1GnmYra14rYrrUEkabSkhhoxS3DRmqm1eX3VWCzVUwY4WL7W0fUkYocR+DxbLgtRaWhFZp5w/sGuDG14H6JzS30gHgThFmhSwYEFjonEg1gDIbkOEguIuV2jRfUc4eeGfCbD9SNd6Rn5ttOcL71xW9FelxftPq9WBPUy4Hcb3aASJcLgZlmCLWC8I0am6gS5qaS6a6SGadest8DV7hu1QZGecAX9WB7Clwj3IAqCaHNUtxUrGJ0f6H1xPFXwOzC0bzycIHs8zJjKsHIQTgb93Y8PlXC9Huxr2oY3J0E1pyS/92FSPJUUU6pVX5cQxXYFQbHzoisiXPEGGFrMDwUBy/VgnlWeCdOizBX5ud1MeQRDIR6VjidCv5WFaOx+AtMgGO52wCzPOGuLPjE0WP90XRokiK8K1S5FNzX8l+0NhhVvnSHIRa41gLRCXaio89VzouJ2p/EF1709lbAK8ZKtEMUxCoqz7rBGCsMtF3YL8MZx7WyvrMVsc2KoiL2NTWoKBs5F0NvD+WSVKOvjo6OjjPpkwVTE+CJBJiYCl/4wVZ3GJkOUSZ4NwDe90c6EK9zh0dCYbEvJBvguBneC4EvAiHNcRWJM8LXYiB1ASefTplwwgwLfSCwlCEjbzs0zCeScwm3QpYBHoiDbunwjwhF67gMdbNgVDTs8YFUo+tNiCea4ZWm8EIzWBHkEAQ6VUKKEeLMEGyteVERT9F+zwKH8vVNO+QG3wdo7zv/Xs53CEpXIt4AITaoa4OPfeCLEu7jcSM0sYGwHXBXYUi2+LniPpP9BpVP3aGNDcZaRG6LiNKdv951FohTtNIeh6UCMYrKPsf9bIVRa3OmUzPQr+s6ZUW/DOjUOJQLGKboFKS2DWrZoKlFRJBhjh/sdIdbU7RIbqwRZgRqzzXNOXfDOWWGmxO1KO7ngbDSCz4Mhu4ZcKOwuC4GDxUmJMGQNLjhAuuVFBF7ENFtwefBEGLVos7/+EKCQT8PXIUOKRCaA3+FV/KAxX7xVwuywCOHISIL/guBF5vBkcKNXnUqhYX+0CMVfJyYCaFUdVpFPkQWznw/bVJRnJnfBkD3THguBiwG7Vr2+lnY7warXCwAdsQEDawwPgOmJ8Nek2bAdzGiDVrLuIXu8Fg6XJ1dcSJ5k1HlTQ8tO+SBfM5oShHXAX8U7syBZnbYaIQjisrnZlhlhB420TYOclxjjkXHCRiqwbhQUQwut+jU4NRrnUsXg83uUoOj6kIdh+D80g/8bRBsh66ZcFkm7DXDt35wVzw0y4Hd7vBBCHTOgAYW+M0fJiZC+9yp+QvQxCG4S4O4xYlP1Oh4vNcDvguE7HzXcSHa61igRzrYPezMDbDTOAcGJWnRHJ2qJdpDqymvzDRno6VkaQs+Nph0Qju3/gmBr+vCswdcJRZ5aXDSDY56wOgzzt2u0eo61c6ds7SSADGpKLJjRFaNKEMRfBOgZeeIycRJyfBmIHTJ1n52BXabYbMbtLNAZwvUssNRIzS9yOEdkw1X5Git4iraP+JjRyRZiOT8r2Uq4hzYYlD51gzdbSIN+5wJ4QgbhKkKaw0qv5ihr+ucPjo15DpQLHp7KJdEF8o6OjoSbxXei4P/PKGuFYwqzPKHJV4wKk0TEcGOe03rbE1Md87UIs273CG9AiYfxTZfrCVavBT9++HJmjDOP5i8LA1ybNqAbiUwsxbcFaOlbutUHdMOwu+14JcIuP60a34S4jQbfBbWBWmR5cJMPQSe+nnkdMQhXRAMw5LAzUWEYUXRJVOb1BPlKz0cIllw0E2bRBIE2bUsn51u0NVFekaNyoTe2TDbGyJSoaVFc7S/mFAWNb4BlfSZfp5RMiF+VFH5wA3q2TWhvNAEN1ngsnwp4T3s8L2j57dwdNfR0bk00YWyjo5OAUQEOZc7k2GtB6z30ETEMVE/6BgYXZMMv/jDQ2fhadEE2ckcdoOPQ7XH4xI1YT7fH7pmQL+0i9eNiHq4kYmw2B9+DYKJZ52/jzolR3weg87CzPqw1Q/apoLJBUVR7pC4ZSp0SgYPO3jYwMumi+SKYru3di60zSccazL1LdqSH1GK8p/DXFHQJQtWe7qOUBYZRmIZmwGf+Wj//+YFvXNUQkrhal5RiDRwcU+4kPlWLisdXgnhKsxwg9Y2mGeCNnaVUFVhmVGlvl2Lgp9RoIkLXqd0aiB6RNkl0YWyjo5OsdS3gm8GbHeHq9KhTr7U6jbZcDoTvgqEuxLON9kqb4QpVyQ/d+ZczeJjsaXfVrgF/vXXTHSauMig81IlUNTCR8HqIPgvGC6Lh46iWXYVkGGAFBPUKqYU4PKzEHIBYzod5yBKVv8JhJtiKyjVvZqIHJGK/ZWs+9UGZqKjwGkXbP0q0q6Pm2C5uJ7a4C1vkQWgMjIbOueGxCuZeEXlcYevwMNZKq3OS0EqeBKI24mXCndZQHzFxWF+2F3LTBKu19+bRN9daGuDetXk/NG5GNXggxQtyVypLZkr7UsVogtlnZqHq11sqjkiDTA3ylzYjHZQGuwLhv3u0MqJInSXw8jmwdiyGvsoqI5zYKPDnfXnYBiSBJ0ukaiVq1IvC+qdhlg3mFcLTnrClbEVE13OPQcyDXDUC6LdIcZd+z/FUZfYKhV6Jp6bBBIO6oJgXSRXCsv8oXkmRIoJiwoo31AN1eNeIFoT17bCYbN2zfvBB0YJS2YXRKRhz/CFy7Lhuiw4ZoDPvCArW6W3UJiVzPeO7/JVFq1OeXqmil++aRd7oX5DN1thglWLPgsTctHKUJx+aYp2j/MRbvhioli9eO93neqBqhtT6ZQRXSjr1DhsRgNGXShXCmL4IWqZnV23WT8HRiRr7VTKOjhWjdrgaHy8VvcoWrDMCYWDntr+il0WgQfxvyhNE8OhDunQNEs3caoMwnLgtpOwIBxm14Vxp0VvVue+RoKXkWVhsNcXGmRARDZ0SYbwbE08p5sg2QTf1IZsI9x1DNIcd0V9eFzxiJ7sm33hoVMV9xo2swuGZYuhfQ58FKAJZjHx2NlFM2DEEW1tgWNGkbas0NAOD6ervCfEsqIysBLtorcbVGIN8HGG1qnhDzM87AWTslW6OPog24wFzwHRMip/L2vRUXCcFd5wg2THrk+wQPtq4P+kUzJspmpwHdD7KLskulDW0dEpF0KA+jtZKIvt9U9zzrZyI9KiddTdMbDbS7QQ00S+XByPxdhuUQAsUWFgMjTTBXOFI9yvR0fDRn+YVQ+uPgMN89XIF5eqm2TWBK1oOeVXSFyLse1+H9gQCIZgaBwHDxw9fzJHttt2pF2LOuSfIuGTBjC0DOn9OmXj7yDon6wb7eXSPxP6ZDq3jKU0nDXAK35a2neocH92/N/cqj3OTz0brMvXE1rUKT+SoYllUS88pBLE8rdmlf/MMDVLDGYVDKjcng0rTPCfCRaY4c5s9aIDXSGcL7eJtlAq643wown627Rt6uhUGnqNskuiC2UdHZ0yI7JlUwzgW01m3oVo7n4BAd45HfZ6wj8BsFSFG8+CXzV5b9UVMRTtlgy1suHXCOiSBN3zuR+nGmF9IBzx0gSyeDrAorV0EinUbnaon6lFjMXvN/trArpHIoSbIFDkUF6ElmlQJ1PbVudkaJ6mpWALAX3SA7KMUDsTvHTHa6dxyAPOmuD6KqpRd1WMVVxmI753wqhLZFDHGSDKBH95wr1pUDfftVB0RvjJq+DfB6gKUzJUXvCGPjkV5xadhMoRIyw3wRCL6IWsvY6IHve0QaKissQMDW1aSntJv7ZeKFxmgwE2VYpnHR0dHV0o6+jolBkR3RMXkfxpbNUZMTRqlQktM+E/P/g6RBPWndIrpHxSp1Dt8h0nYGEYvNsImqSD2Q77fKB9CoyM0czA3PONeoVoTjDDMS845A2eNrgpSjPhEka8KWElP8TjT8On9WCnr9bGStAuRfs519T36QNVK2Rq0nVjQRBcmVgZx1MXPCVFXOO65cBiD7glHdo6JqvammCmDzyWAoGO50TLJ5HMkaqo+OZzvfZTFdpbVTaaYYCT6/yzUHnDQ9QUQyM7jLHAwEIZJZmo7JQp4XC7I6otnKtLgy6Sax7VwMpLjyi7KLpQ1qlxKGq1uCTWCIRmEUd7pRf0dTWTrHKcB2JcNSAFVvnCr8FalKWdq72/GojITBh7Rqsf3uOrRXXvP1Z8DbziMN0KTtYiwedhL/k5ICLU10TDukDt5zqOKHXbFC09f00QfFIfGmRq5mM6ZUNEKr8JgyZZ0OwiafbOQLHraQClYXQmLPKA1/zgxnRoaYU2Vs0RepsbDMjWvndiaW6DzabzBXGIHdIrYH5irhkaiMkwS9FidolJ5Wexjv2coBcopbgO6NRMDNVhXKinXrskulDWqXEYbHZ9cFRJiBYbV6XAehcTymJwLM6D8kZXpp2GtT5w2F0XypWJEMZFCt9SYrSULm9eiGCxFIV/LHzQEOLcdaFcVkTw77tQCLTClQlUCkarXjtR2uveMDGJYYE53jAmEzpYYEI6/OIF281wTaZWozw0Gz4UvZQtKub8LtMVYGB+0KCyzQgvZBUtkmMUldUm7bXvyEH2Q87FpJ8Dlzz6dUCnrOjZhDo6OuVKoVziA8NTa+ZBFJFkkYZ91NGuSufSRUSupxwBLyuk6/nXpUbI1Z9Ctbrv0fH64MPVaWyDO9LhZy+Rzqz9/JhopZYDn/rAQg+oY1dkhHd1odobUTLsjMGlHZVDBpV5ZpVP3ODGHPAsJpXe3xEwvMJaUCTr6FQbRCu7XOdrl1j075H8WKr6vNDR0al+CLPgTZ7wRSA0z4bGDvfgmkioVUsFFqZlOpc2HjZNBIiWaOUl7RIS2yLKNzdEa8N27Vl94FFdqG/TWlb94an9LC6B3XPgCZFF5AbrzCojsuFPd1hjVhH/BCJNWzhol4fDBpWHPeFHs/a692dDO4dpV1F4oPBANmw0wm5RK6GjU93ITb12pUWn6oXyhx9+SIMGDfDw8KB79+5s2LAh73f79++nd+/e1KlTh+nTp1fpfuro6Jxjtwcs9YGumTCqhrvWiqFZwyzY6l1y91SdmslBb6iXqUVFy4Po3fxW44LPnXGHHb6wOlDr6/xCM205VMhZuLqRaIJZtbTJpuviqsAMTddM5eKqTNhhhvke5+qOvVW4Jw3mucOPHjAgB5a5wWeekI5KnxzYYYLoUghW8Xe7TOfW326EQRZ4KlthlEWhQQmixEGqQh0V/pevbZWzToJvTap029apruifnU41FMo//vgjDz/8MM899xxbtmyhffv2DBkyhNhYzSnl/vvv58Ybb2T+/PlyWbNmTVXurk51QVG0RadCiDfCRk+obYEuma7qeK2gOvEcEMZe+zzhvQitb7RO9cCZ54BAGIy1ckKZwR6fc4+PemqC+NP6MC8CloTCYW/N8Vss39aBT+pVv0kaMSzd4g0fR0CbdLgpVuubXen7oacPlgsRTBYp16LM5iU/OOBwthF9le/MhFMGWOUGV2RDqB1e9oGTRq0104veJU+xnuUFH3vC7yZVRpOPGTRTrtISaYfmwkwsnzCyizTSEpCNyh9GtcDfCg4rKktNcNygPdapfqjVITqaO3Z1pUWnas283n77be68805uvfVW+fPHH3/Mn3/+yRdffMG0adNITEykc+fOtGvXjsjISJKSkvSPTOei2IwGjPoXvMI4YdZ6215fSWY8ZR0cq0bn3RgjLTAxDl6sC46OIzrVALvZebMaVkWLKPdOcI7gFrzY9FzrqSvitH7Q4dmQL7AmI8pCLL/UDO44DrWzcXkyDPBbMCSY4PZoCHNym6DSYHPiOXCpIup/x2VChA02uUEzR0umJjaFN9JUYgzwnhfcmgmtrPClJ4iPXGRKi57GgReJBovUbbHGtHTYIqLUZogywJ1lEMqDrPC1G0z3gLtyVBrYFaxGAymovOumTezWtkNtFSJV7bEfihTAnztmfYcW8n9b4Bgpv+emrf9SDS41qqnYTNXgOuBq6c6utC+XolDOyclh8+bNPPHEE3nPGQwGBg0axNq1a+XPL774ovw5MzOTESNGyGizjo5O1bDBHRYHQoYC3TPBt7qFuMqBeKtL/bXH3pfQ+9Y5hwgkNc6Arf4QWc72UFGOmk+hH+48DpEXEL9NMrT+zSJV+/P6MDgWejppzljocWfP+xwXQicUOqTBuDi9tUZNorEVlhUyNjSiyCjuXZmqjAh3sMLtGRCsagK7JD2Jd5vg+kyHOZjlXJTZUIazc48BdhjBXYX5ZngoG9aY4B936GGHAVYtCn5KgS0GOG3WXktoX7E8kSPEdMHXFWngubTWr/86OtWWtLQ0fHzypXS5slA+e/YsNpuN8PDwAs+Ln/ft2ycfX3nllcTFxZGSkkJoaGgV7amOjo4gzggtsmBkqvMH166MCC6IXspJRnjuJLjpA6VLkhQz7HPcX4fGOqfWdljshUVyLuK1ph6Gfd7QsJy9h+PNsM0XjntCtgHapUJvJwnveBN8H6oZdok+yTo1i1p2SJVR4oJ9igWNbAoPZqhM94EVbtDaCveXsGWgKGVOFsGrfNfWsohkkTq9xAxX50BnG4Sr4vqtstWoRbc3G2Cfm6MPtHqus0Fu7fUQGzQpIvrd0gZ7HV/4f0wwyqoW676to1Nm9IhyuXjnnXeYMmVKsb9PTU1l6NChrF69umb1UXZ3dy+TSI4NDCLZwx17oRRc0U/PoIqr8bnnrSbjRdcT/eqtRqNW75TvBmGyaeup+bdXxevJ3XZgFOvZi36/+d9xSdYTx0AeF7u9QO2fzWjEXqgOrKTrKdnO3Z5YL93bE5OnFffsnLz3Ufj4Ffd+L7SezVZovUKvqxS3vYusl2MwoMoaKrVAzz+DPddD1PF+5fZKvp7NduH17OLzLcH2xHoZRgMnvVVaZUJ8EBgusD0l37MlXU/JEcdFhh/Oex+xJpVjbo7tWWwY7aoUDuEWqG0t+rjYjUZyTCZsZlOBFEy18P5ZHK+b//gVWm+NDxjtNppmq8wLAS+71ufXUzFS22LAr9BxVmxqXjqt3BfH9lCLX0+cWyVZr6Tby13PrhRcr6j3K7dnrHnriWORFewr13XG9qLdISTAhtmqklgP3O1l256qquTOD5sMNlJ9Sv5+a4vrRaAW+Srp66ru586Xs26wMhDqptoIVlSZHbE/DE5ZoZHVSOOskp1XBvP56+WoKr8HwxVpEBoMiWU4n3NLSUvyvSzpemlhAbKfdnHXlwLXv1KsZ8zzeC7/9S93PYOxbNfni61nNJb+/lHceoPNMDsYRucY8S1U3mK0WrncpFLHBhvcID5TbM900ftgf6PK315GwrIN5N9kae/TB40QbBTO3IpcL9qg8ItJJSAggPZ26J6tfb5qvj8X4wjxfsW7ExURp1HOG280NKrEuxnpZzcQp6ictmltqtzVgutZUIkzGgkyGApMpJV23KQYyj9eK7xebhZtVY9PS7IeRueM2/Ovd9armrsi6lyUJ598kuDgYCZOnHje79LT06VIjo+Pp7RUmVAOCQnBaDQSExNT4Hnxc61atcq9/bDEBHzEF85JyGtNNaGi9rUitmt11Do5k6QAP8yZOXhmZrn8vgryC1pX3d9/PSHNHXqdpVLPLfH060IdFBdFU+C+aGhQqGYs29uDTDc3fM6Wz5JbRJG31YIJZ+HbEBgfBWmKVqO93hfqZ0EtC5x0h77JEJFTNofEijq3qtN1y9mIQWmK1Y5vVOlvjIURInlNGLSMgcvLubktfhBjhPoZ0CGq4h018/sYbQuCRjEwIPHcc8810f6POAuBJYwsmwqNHMRUxFfhUOc4dC5HdLqEnkulQgjawFPOv3BVxL4WPq6uuN1BohWTG8z2gAczRZS5oFgZB7zvqdLIDkHZJYsMxxhVjnpDVAb0KEekNltRWSgmtLLObSPbXZV10pefiqWhXSETlSMG7ZzNXZo56pSLo7ei8pc7/ALMyjqXTp57XGNRWWyANQoEiMwKoIEKrVUYJgIMpXxPFXFuVcQ2K4qK2NfswECqg+GYK5mOlXZfXn31VebOnSuzgj09PenVqxevv/46zZs3L7CeKK996qmnWL9+vdSBHTp0YNGiRfJvBAkJCTzwwAP88ccfsiR3zJgxvPfeexdNmf7666+56aab5MTYyJEjC4hkUborMpSXL19OtRHKbm5u0qhr6dKljB49Wj5nt9vlz8LtWkenrBhsdsdstY4zOGyCpV5wRQnT6JyJuEy/earo3yUa4dVw+NCRcDI1Rut5LBCfvzgPyssyP20fvgyBbCM0FnMvds3Qa5k/7PMCJQNizfBdGCSZoFYO3BgLgRUkfnVKjoj8OYN0o1ZXPCq6fNvZ7w1/1IJ6GTCxEkRyYU67Q9fkcz+LoyOctZ84Ur5U8j+DtO1c4YJ+myIaquNcRPsnUQM80xOeTRcZPgWFYBsrrHOD5WbhjK3SQjTQvgAtHB/R515QK0sz4CptyvUvZs2VOiLfZT9eUdknosw2G3+aoHWOKg25xNa9VK2eWfCQBfwucLuIUBVezVZ5wh3OKhCab27bisprRuitwks2CEKR+3NQga8N2ntrWqp3o3OpXgdUVWQcuZBQLuW+LF++nPvuu4+uXbtitVplhHfw4MHs2bMHb2/vPJEsIrvCn+r999/HZDKxfft2KYhzmTBhAmfOnGHx4sVYLBZp+Dxp0iS+++67C77+tddeK02fr7/+emkMPWDAgLxIsgjCiv2LiIgo9XGo0tRr0Rrq5ptvpkuXLnTr1o13331XvqlcF2wdHZ2q57QJOmfBgEwxKHAdAm3wxmmIFj1pw+GNcBiTCD3KKeiFAP8sXOv/KgjLgSA7nFbgrFFzPt7qA5kOZTEkUTP4sijwbSgc9IIZdTTBPDwBGum1mtWeRhlaBPi0B4SU0cH5mCf8UBsis+CWqMqv81cdQjl/TbTYJx9b+UTyWl844Q53Rldxv0mdSqWrBTaJTAsz9C30nbjMonCZBf52U2U7qWC7yiazdg4OlVk3Bc9+8fONmarsybzeWPq2UN+6wTYjXG2B/vluUqLFVBcrjMmChXaYIiaK7DDCCnPMyKj3LVYIK0GP5nBV4YsiruX7FS2CvEHcHwxwlx3cUWijQkNVJV6BpkUkjR1zRKHFvFV3FbqoWjq3jk51ZeHChQV+njNnDmFhYdK4uV+/fvI5UUP84IMPys5GueSPOO/du1duZ+PGjVIbCoSgFp5VM2bMkB2QLsQdd9whI9KjRo2SbYWfffZZTp8+LUXyxf7WJYXy+PHjZShcvJHo6GgZfhcHqLDBl46OTtUhbt2qYxFpx4VKKqucWlYt6vx9IPwaCBEWuNicYZoB3o3QIoWCbqnQLxW+CIWEfI2hQ3Mg1lEfLQ7AO+I66xjLNM/QapU9HIM60SP2llgtSvdLiLbtvwPhvjMV8KZ1KhXxkQ88C/NqQevU0gvLGDf4si6EZcMdJ6rGDE+cj2kmrfWU+Apv9IO/Q2FsGaPkhzxgdi3wt8JdZ7QIo86lxehs+NALultU3Io4q0PsyJRlYYQlyg1yjbFEj+XC9LEoBNlV/i3kqn0xRM/jjUa4P1s4UhfcB3G/EpM3IlV6ohXGCoMxD1hjhIkW6Gcrm2lYflqp8D+biGrDW0bYqqh4qiKaDdsUqFPoeyHaVAlx/b4RbrBBB2C9At8ZRKq2Sk8VOsrBuS6aLzVEbobmwOIa5O5LSkrKed5RYrkYycla+lJQUJD8PzY2VqZbi4ixSMs+fPgwLVq04OWXX6ZPnz55EWeROp0rkgWi+5GIOIu/vfrqqy/6ulOnTpVieeDAgTRo0IBly5ZRp04dykqVm3mJNGs91VpHx3WRhj+e8KMCaz3hjTPOcfy9EMK8KzelOpcAMciJA/9iog3jE2GLF3wQBpNTkMYs+VnqB0tEAVkRbPDVFsHNsZq796dhcDTfoO2mOGiYrfVS7pwK1xRTqyqOjXD9fbaB9vM+T1gaoAmKvilQL/vScg2vKdTN0rILVgTDZaWsU57vsN24+3jVffZGFbyt8FYDYSB47nnh31VaxETTJl/Nrfje0+DjypUuuoCvMEQ7p2ZWlX/dtEhxYTpZYZbXOXdpUbLykzsMz1FpIxqTFyLCkblTGrxRGGVRWStTq889n4TK76I9lIwCq6QDJw1wvQX+MEEnJ4hkHCLc0TmQ0XaVbw0Qm2+z/8l0cJXOqpaS/bIRaqkw0g5DHO2zuqrChkNlkwJLFfhCgS6o9FJBxNqcsZ86rn8hcNXU67p16xZ4/rnnnuP555+/4N+KUtrJkyfTu3dv2rRpI587cuSI/F/8rYgOi+DoV199JQXtrl27aNq0qQyaiih0fkR6thDb4ncX4pprrinws9lsln5YDz30UIHnRR11tRLKOjpORzghFnJD1Ck7HXI0B+FFjgGPCAaURShnKlrUSaQ2B1+gXEi0CckVyY2ywdcGGQY46AHTI+CZM0XXk4lL+tRoeKMWzAxVGJahEJGuRdAWBsBBT2iVobWwEft/VwyccoNPw2FAMjTP0kRs7m1qRCK8HwEvn4AzZgixwjbHMbj6IkJJbF+kXgtBMS8Yhidqg0TxWIwPjY7btngb4tiGZsMV8RBexGBTp+zkd5l1BlfFwFd1NLHbP77kojd3vaq8KonsBzHZ1C0ZFoZopQPXnYGWQkGUAnHOzqoFzTPhmROaAHJlCjsu6ziXq7LhdW/om6NK0ZofUbt8faZKOyv8I2qW3eCoCbbYtTrmwgQIwajAe+4qCQqkKPBwljZQ/c+kpUp3KyRwYxWVX9y0iHJ+/jNDNyvUUxW2GhW+cdfuXUIoD7HCu24wNUfFo4TfyhhF5VOziGBr7aTCVBC5j1fbRQaTQioqM43nei0LP7HDCsSJ92OED60qvxi0NOw7iqjBFmnXfVXkkmxQWQ98r2ip2T0cormeQ5jrlB5XMsmqbpw8eRI/P7+8n0sSTRa1ykL8rlq1qoB4Ftx11115JbYdO3aU3lRffPGFNAMrD/7+uVNWGqJW2RnoQlmnxmEzGjDqQtlpiNtyh2w4boLaOZCbiVwaTprg3XwR4naZcHM+459tnvCtlp2TxxunCgqLE2Z4PwxeioDbz0ILx8AotxmEWKIdadOKovBfkIHkfIr+xjhoXcg9e4vmL8GQfAZHuURa4FqHGKrtqMGzOu61JRmqBFvAbITxwk3YMSjslKYZfglENC53v/e4w9eR0DQdLk/QJgd0yo9oPeRMvG1w80n4po424SHSsUtyLoyM1vowV2aa9fIguDKu4PN3OAzEAi2acBYR8tKy20c7DkPzOWe7MqJdlE7FEaIq9LCofOoFd2ec31+4vzBvENGebJW1bjAmQ3OZLgohAu/LVqWgFX2aV5jgC3dNMA8QkWCztgSrKuOFd4Sq/SxoU+iaGWaHDSbYbVCJNhulwBbmXSIVursdlhthnwE6lDAbQhh5CRrbwV+FIwocd0zsTrOL1lIKr1hVZhs1Ab3O8XefWeF7A0wxaiL5wRK8XiAKQ0U9twpnUFkr6jQdE6y9RHq2eH+6YC4Vou2ZqyPaZKku5PSQ27bLz8+vgFC+GCJLeMGCBaxYsaJAynOukVarVq0KrN+yZUtOnDghH4uuRyJFOz/CGEykUl+sI9Ls2bOpCHShrKOjc0GSDPCNryYIri/j4FhEgAemQadMOG6GnwLgEa0TAC2zYK8jxblplpbqLdKoCwuQehYYngx/+sOsEO05IXx3O7aTH2HqJS7PvnFw1qSlhortFqZ+thZlK47OhaJtXqUQsKPjtV67+W/P4hYYVMTrdUmBtqmwKhA+rqtF+uoWipDouAaij7ZwrP62NiwKhSFxFxfLIlOgMrMF9vnAxkAtRdwxFyTJHYKJtmZlQXyFlgVp57aOTi5XZ8M8d5jhDfdnqAQWYY5lcJw/va0XTiVukS/a2tcqIr4w2AJeKLS1qZwyaAJ4uQl2GKG9DT7KOL+mt7UNdhvhXXe4SYVTDrfqH03IemURFfYrRTbEUKsmksXXWFTpeKuwwQxLFNipQDtV3HMUJthUPjRChmN3vjBoUeXnbdrvS4uIVouE0qtVlaNoLaheFJO3qNylai7bZSELFaH99Qi162BXDXJxFUq7L6qqyrZO8+bNk3XBDRs2LPB7US8sDLX2799f4PkDBw4wbNgw+bhnz57SuVoYgInOSIJ///1XRqO7d+9OVaALZR0dnWIR6WMzAuHyDM31uqxdt0Rd8ZWp58y32mVpbtX73GGJozZ4bCJ0u4hj9YA0bTllhnfDNJHcO00z1IoS0YokzQ072xsy3TWRGn4BIdyllGmnHTKgiTbxWSJBVRpEWvrABGiYCT9EaCZLDXTHbJdEnG83RsF3teHvMLiy4AR4lbPA4Yd5XJQbFNeDvAzs9AE/q1arr6OTixC+Y7I1d+s3veHeDFXWL+dHmFsF2ktXb1tbVfKyeQQNVIUGNmHSpbLJCBNyoG0xraQCUJiUA1s8VUT31UQFHsuBWWZYaYTONnjfDV7M1qLBF2NcETXVTe0wGBVHRY5EVFfWVWGsyNhQYakBDilwQBERcLFu2YStELSN/t/eWYBHca19/D+r2djGnYTgbqVQoEgpLVSpe0uNGm1v5dbd5bt1v3W9dVdoKVDBC8WKW4i7rs98z3s2CUkIsEl2srO774/nMLszJ7NnZ86eOe95DUAvBTgHCuaSr6cEXK0o6NeBc5KAfB25QgGgOMSXdKo1DNO+uTWlcKJo0zExMc0+xWQSTTmSydLvpptuEj7Ow4cPFz7Kb7/9tsi7/OmnnzZrlymd0+zZs/Hyyy+L9FCkoT7rrLM6HbW6q7CgzDDMfqFIzqREHWPfqxHwBxQVNNflLckeIMnp1Rj7CplFH1UDjKkH4roxkBBNR9rTTPuTXjbgzCLgozSv33K6w2vqStps7aw1BwkquvPRwsa5+cCLPYExxs6njVKD0wuATzKAHZH+FZTJ4uGENubc2od9OruLKS4JcYqCZyOBi2wKBrbIn1yqA5L9NHZOd0vCz/hgyI2GrNGKBDKGIiE9VlGwQO8VYif6YUxNbtO/oiHhuhbfk/yqp8kKvtUBn+hI0KXAXsAoxSvMdwZdo2l2Fl1rCbhQUTD6AOdSoIjvTybd5saJPxllJSJ80HgoBU1HvfaVl156SWwpf3Fbk+gLL7xQvKYAX3a7XaSJInNqEpgpX3Lv3r2b67///vtCOKYgXxTt+tRTT8Wzzz6LQMGCMhNySEowDInBAQ2T/Z3ARhMwWiUt0uhOaKppSnB0o4Z6vwRxP8i2A+cUAr8mAEus3rQ+FAzsjGKgTxfzRIcVsrp9gAJZDakF1sUCUzRkjkzySbrdKyiLJK9+oNTo9cum6N/BNHOQOmsGw3SKEW4JVpuCly3AKXZF5DEmM+R8vf8EZV9xNj7DomQZVZJXYDza7fVtHipT9OnuWUTJhYRrhNm2gvUSsFICPqeFAygYI3t9kTtjAj2EIn4rijD9pjzMLaHvSmt3VCgw2BsA/kORwMkihnKqAzgK4YMuCOYDWo163RHTa1+gHMot8yi3hSJck2ZaKwTR445hfEPnkXly5EfSPMA2o3qCslqTY+oHwUymAzivRQ7mPWavSfaNO1lH5it6l/pR0UhQ/jADGFKjHa0yCcppDmBzFFCr909wuH+igf71wdf39G6OjNfd5Hok3Fiv4O4YoGV4nclOYLdOQZpMQSHV70meRmH5Nb0H7sbXpFU9KkBdgr7zSMqTLCy1FGGO/YgeMHiAozopx1GMzM8ao3+PVSitlFer/ZAEbJS81ltNPEOWMOQWRGbsfrQQCwZ4HGA6CwvKDMMckA0mr48x+SvzgBE4shxAhAcoNnlTTzHaINUB1BqAF3KBuzdrQ5CkiOoFEV6BmdKj+YMCM9DTj2bcTGiToki4tU7BNxHACBdQpAP+MAE79UCxjsyhFbEI28sDTHd6U0m1NJkmgyFrF39NlK7qOZuCYoc3BZ9ZE79OL/R9Bypes2wSaDsrKI+g76goWEOaYwn4X2Pgr2sVgLLFLqcAapTeChDBwCjBAyXNmcj5mTUHOQpoK+q1dtoSSHjeyzDMAbmqGvgmCngsHji3EuipEa1ZOEJm11sjWVDWEk05lauM2hCSiUF1wMJEwK4H5lEe79LO5T5vyREVwDsZ3mBzmeGkimI6TU9ZwjUNFKVawS9m4FAXMMvm9QsmU+hCHbDABLxmAaY7FBFJmgJvvW8C1uopr7IioleP8ACD9hO0yxctLqWs6mwQLbWZLgO364FlkoIxnTQFN0ICxQduUBRQNq6vJTLnlnChQubVClaQ36gEUObaeI50rVlk6ETRClpqSyDhq8AwzAGJoAiedcAZtcA78d60GkzgBOVtLUOsMppgTJXXzLkpR3agIS3yrD1eC4QN0V5huatQeqtp5cC3LfKhBwXad00MeegWJMgQqZ1ujfYuKCUoEgZ7JFxh8x77OAJ4PhK4y+I1DX7GBsxxUJ5m4B0TsFqvhGQnSIUkhNvn9cDmDrSTfJDbspBSXgG4ssWhTPJjFoK0JFJJhW86KO32AUbbaOSxzjB+RJK8hfErA13ewFufW4Hzq7R+cSUoIdgHKC9zO1lKmP3QXX2A0kUdWgX8lgCcoJFUUZTG6cRi4OckYF0McHR511fGS03eCPXBhKLjH0ygGeuWMLYOqJYU3B8FPBQF9HUr6CEDNZLXV/YIJzDEDcQY9t6vDAXIcAN9ZAUvmWiPIqLNk98tpYryFVmnTZ0QCbtv6SioGFAkAb6EATmP/CoaOVdWRPTrJuF3jAL8LgHTVWxzsKJI2uwDoRTMK1Thq8CEHB69LiSFJC1AkaaLDcAqCpup8cmxog+94a3aCMT5kBaF8SIbuy/VxtgqYFO0drTKRJ96oEHvTS9GOZW7yh/xXhPzYMLTjX2AOTBWRcL/1QEX2Lya4q16bzT/ZAVYaQTuiAGeNStYpFewVaegUlKEv3IvWcIJLuAPPfCTEfhPBFAqta8hXK9T8JOBfJz3HnfrddgjKXC32EdC6s96BRUB1DQukIBtEtCfmqAAK3TAczoF29u0cwkULAalgmrd1nkScK0EvCQpKIeCaeQGokAE8lrIGtRWeAz6oEkPpaXCsEaZYZgOQDLAmdXAO3HA8Mbcykz3sc0SfBq9cIG0yv3qgbUxwERKWqqRPOiUh7vaAKyN9voXd4XBtcDAen+1jglHKAdwtgxktxnHpoI0qgo2moE1emCJBJRLQC2ZEyuKSOmUSOnYPEAlpZui9Eotolcv1Cv42kRaa+/7T0ykyVZwuhNYYASWmrx++qM9ioj8/EPjglZv2ZsuqkkoXa0D8iWgokXpKwPnq2DK82ajHEI5nfs2+mdnKsBTOuBORRFm2aRtX9yYUqrpN/2CQubp3h0kIJPA/aQE3K0AR0LCYEXB/RIwVlEQEbam1gzjHzS09s0wTDDQwwXEe4D1ZmBoEKWMCnY2Rnm1gjPyAt0Spj0adF4/5UsqtHV9TigFllm9qXL8kbIsPwIYSbmUGcbPUFTqQzwQpQnSKFc1Cs0ktG7WUZAvr8DYkuWUa77Fe3JpJuOHUgoa1igrkpn3/Baz3uucQG6jCTdplt80AjaJAocBeTpguwRM8gAnqmTF87rbu9jcMuI3Eako+D8JuEJRQGtulCN5hAK8rgOuayEkE4mQcIrivUavSsAciiYOCUOh4L+krYeCMxXvAgWjbRRF0pS5M7WHYUGZYZhOMLEe+D2KBeXuoloPfJMMnFsI4aPH+Eg3PufdjfObaI2Zxie6gGPK2j9GXWmpFRhVA5h86Fe9GoAvUilkMYIInuwFMyTgkca3Ses7dj8rPlc7gEUGb0T2XNkrJH9hBP5nppAlEi5xAYNliLRTpsZcw038qVPwsRGY4QZyFOAjA0QE7ntdQA8VhQWKVt0ekyChTlHwpkTBvgBKNLEJwL9kYHg7f0M+yrMUBQ9LwLe0OAbgDAX4ja6BRMI0MAaKCOYVrgTDY5PTQ2kT1igzIYekBMOQGNwMdgBfxwKFBiBdY4JBMyHSD8j07vNUYEIVkMEa/A5ePKVbg2dRnuG/Y4HRlKw0CKgwAj8kezXh5xccXKSkyNeUM5oWbqz+UFF3A5LMuazCATIxPrrFs4j8keskb5CsQ9wy3jICJ7mBKZRcvAWkSf7ICFzkAn7XeyNHn+EGRsh7g2QFgmMh4dgWwxeZhR+oPQZI+Jei4G6JFhUUDAEwk9JBKcCrOvJZBu6A0mqBIJzQhch8gOl+QlZQTsyORIwfnfcVT/D8yBSVJoeyCueVXf6fxJgjdDA5dYh0+bd7y251JlweFa4B4VZBgHW3mBwfoyj4Kxm4zA9RZf09l7WZFNj0CmJN/p8UqDHvPtA5v9EriNYBp+sAXbSk6bZqCVmSYLHKSMzovonhiToFrycDJ0R13NRRrcC8BzpvemMU4doIQOkBZPugPTtOVvBaFnCJGxjsZ22bGtcgIk5GahvhSKttVSvekEGlmZ7e6P+LoDP475x3AMj3KPjYIIu0hg2xOqRFt74Y6+weOGs9eNMMnB2pxz0WHYw+BgPVqfD9xXk7+UxNAXCfU8aLVS587JZRpwDJeglGtyLMzy9TgJsTjDiqzTXQGpLe/7/XCqO2vzMhKzpRtIKW2hJItN9zGIbRJEcAuB7A2YqCGI4yrgpbJQULDMDdDvYxCwZyZQlWRRHBiEYEgcaVtFAZFPBHgQhilONDm4/xSOgDBY8bgEdcClLCVEPFBAeZeglnWPS4ONGIuHYE0LEmHTLjJPQ2SDBp8DlmkxX8p9Ip2n5NvMiRdUD6mXR4OoXClQFORUGZR8F6h4w3atw4JkqPI6I4krF20VqkaS21JXDwcgHDMJ0iWpIwFsBcvn6q0EDBWBpNAq0sjAQNlAt2exDNL3rJQByA1R1oM/lMZpO2Ss2GMYwfaU9IJmJ0EgYadV0Wkv+weTCjwI4HK5yo8qMF4lqHjBK3gt9sHpR00KqNvlOGQYejogz4MNOCWXEmGDS4GMAwWoYFZYZhOs3JEjBXAfLY/8evkD/a20ZgtAwMkXli0/kL2f0uM8U6ID1IzNMJCpJEgi9FFfYV+noxjUGEuoqIaqxiqB0pKML4MGqidh+QFQU9jRLGmnX43S7jrGIHnq9y4YlKlxCaCxoF3EK3jEqPgnUO3wcIm6Ig06jDsVEGfFan1YAgjD+giNdaKwybXjMhCPkmMt1DoiThfCh4XgEegqKd1WqJpkYaaUsnoKAyJRIwmyQYptMoajn+7gcKILRDBxzhCp4FGUqXM9LjTYnjK70Ub+qcgwUYOhhOKLjF6M2L+5ZK+cFliSd74Y5afUBRFCy2y3iiyoX+Jh0iJSBNL2GUWYcUvYQ1ThmzShyIkIB4nYSdbq/ATu/vjjdiVMSBzTg8ioJfGjwYYPIKyrOL7TgnRoFVBR/eUEfRytzkAHDUa23CPspMyOHR6VhY7kYmAFgB4BMFOFvSzkPRow++CfL7BgUU2Jp8XG9zen1Imc7jUSs60n40o2+ZgTQF6BFEGmWautsAJHdA6RbZOHkobQwg1FnWSl4vOMqLSyl6Dlehv7v1QWQHz6iCS6U+8G2DBy9UuxGrAyZF6GDVSTg9WkKOQUKETsKJsiJyO5NhywqHLDTL3zR4ROoqCrR1MFbaZSyxyzg12oA4vYQpFj2+qnPjAiudgekILonHAaZzsKDMMEyXEDkqSTOkAKMUBf2DYOVWq/xioDQWwI0uIFXF/J2MfyHN6vtmiMi6V9mDJ/AaaYNHeBRUS8A/HWhynuRNJUW+zV0hulFAv9ANPGoEsj0KsoPk2jHhDWmT/3bIOD5Sj9OjDUg17NtvSViOaHx9ZKQe210StrsVZOglTLIcXHAbYtYhhoLsNUbXnhFlwP9VOllQDlG0Zu6spbYEEhaUGYbpMhT1+mgoWKQA/Xme22koVc+zDsDIwkJQQYGwduuAf9uC795RvthvDECxBNT5mGeVtOb2LgQ5IZPrl2lRiMYOBUiFhENlBRskb5AwhtGCIEyGIcucCoYZJUS1CAZGPsm3V7tRKgMPJbYvJLcHBeQqdCs4x8f0TPMbPBht1gttMpFllMTfU9togZoJLWToRdEKWmpLIOHlAoZh/EKxAiTxs7vTeOCdmAWboMUAKw3AFBdgDsJ7N0AGCiQgSgE2+DgjoO+ZrgA7O/l1GwD8pQMSFeCyxpRUfRRKhwb/E3y3hAkwm1wyjitz4YQyFx6oceOSCheWtQjA9ZtDBgW2fiPFJKJK+0qeW8ExkXr0Nfn2N6SxHmvZW9csSSJK9282Gb80uIXAzPgGG2gxnYUFZSbkkPjhERBOkIAfFaBUI9c/2PoB+YlaAt2IEKM7+oALCtYbgOFBGpCW/OApaBxFsS7tgFDZTwG2SJ3z5X7e4PVLnunZ64ffW1ZHUJbk4BoHGP+j68A4sNDuwfVV3h/zOJOEF+MNeMhqwHN1biywe1ApK1jr8voe7+lAGqgtThmbXbLIZewrWQYJRY0BwJoYaNLh8zo3Pq9149kqlwj4xfi3DwQKRZECHuW6deFVRoJNr5mQwyDLQTEohhoZkoQzoOBBBbgTCpIDaBomyTL0khxcgrIEWLjb+hW9u1FdqSIb9ORbS/62wTupGCZLGNbBqNPUV8ukjltNvGAAtuqAR50UFGzvCRJFEh8F5VDEa39h8KjfBxht42sfII3v6/UeHGHWYbRJwhEtolIfF6HH47UeWCQPbAoQLXlzHPfwUaP8Vb0bh5j1HcrXnGOUsNjW+jl2R6JJbO2ygvvKnXivxo1ZHNzroBhl7Y8DHPVam7BGmWEYv3GkJOFECbhXAX4jHy9esOiQOSpFE2aCi78MwKgg1SZ3lgoo+EUPzPBx7kkCcBEUXGb0mlwf6QHSWgjDBVDwnEERWu3OmnMzTFco8Ci4vNKFMhkgl+OWQjLxToO3s98Xa0C8BBwToRNm1L5yTowBm5wynq5ywenjc3GjUxZ+ye1BgcJOiDZgd2OOZoZh1IE1ygzD+F1Y7gEFHyvAlwBOh4IxtCrHwUcOqlGOZI1y0LFOD5ysUg5grfKBATjKAyQfQPPrgIJ1pHXTeUt5Y9VT3MBRbeb2eyRgpQ6IUIC+/BtguhHy86VUTauc3k45yazDOe0IwGSCXSUDg40S3k/yanU7ElCLfJmfTDLhuWoXri9z4uxoA8ZF6KDfzzlIY0w5lF9KbYqbvS8mCXDy7yVk4KjX2oQFZYZh/E4/ScKdErBe8QrMXwDCLHtUBycX4QT7KKtAN1g0eILcZJ58hglfUlq5oWC+HsiXgCsOosh6XQ/USsBoGTjWBVgB7JLIt3nfz8mkQIAKcJUHiPWzCTsZdDPhzf76wJcNHuFr/G69RwRSJMwSkNoYZbolPTsQtGt/kBb433FGkRv5q3oPXqlx4ZhIg9BMx7f5zIU2D4aadUhqpy3N55OAco8i/JT3J3AzwQNHvdYmLCgzIYfMDwzNMFiScC8UrAGEwPx5o8A8TG2BWaKpkRR8ptc8p/crik597yKDQgIkRYIOTj4yAPMMwGiPgqtc0n61w4v0wE8GIFsGrnHtDcLVHjVQRATtJ9pEAqcAYO1BOrMaCugF/yNL7GEW7rTXB360efBRgwfVjX0yVQdk6SXMiFC3v9Bzb5xFL8pul4xvGzy4otSBQ8w6XG01IrIxDdW3dW5cfBDf434mHRL1Eu4vd+K+pGAdgboHheeFTCdhQZkJOTw6HQvLGoImBsMpYBAUrCSzTQX4BsD1UBCl0sOLHooefXBNkBtIMxnoRoQYHoP6eSDpE9zUjYN0keMsN5CgAB8ZgQWygimkIm+kAQp+1QM/G4D+MvAvJ9BDkXCw9Yc/dcAhsu/pst40AMd7SPPn//HAredcoOGOq00fKPYoeKveg6fijbi0guLWA6NNOsyJ6d4pcbZRh6usOlwYY8AbNW48UOHCbKsBVQpQrwAjzAf+oVFgsHsTTTi9wI56WWmV6zmcsckK3qly4fBIPQY3+pq7JO2PA2x6rU2CaybJMExQC8yjJQmPSEAvAA8pQB0H+2pmlw6IDVJhK5whnU8wx/Ii4XS6R8I4D/COkVwAvJ3we72C28xAiQTc6gSucElCSPaFIgnI6UBfJm0yCdYM0x1QxGrqbik64JYYPbL1EmZHB06QIi3yVVYDeholPFXlwjOVLhH8yxerKzK5poBfe9qkkQpXtjg8uCLfhgKXjHtLHGgIovRwTVGvtVQY1igzDNPNUFCvs6HgEwXNqaRapokJR37XK8J/81ztZ7Bg2pAqe1NETQxmaRnAbJeEKihwANgtKfhND9zjABI68dvs1cEcyxTI7sBGpgzjP6iPk6BcowCTIvSiaOG5eHmjqbWug5phSlGV55LR38SCzQ6njBpZQYlbQaVHEUHRmszZGaYzsOk1wzDdDq2UnyEBxbKCPwAcFeb3gExVz3GT6TU/0IONU53AUxGUIkpBVJDfv5tckgjY9ZwROJVMsjv5ffrIwA805/dh4Se/UYOdDJUI7lvC+BnSMN5b7RaRreNDRIDKMkjY7goezamaHB1jxJhIg1g4GGTeG1XcR2OYgCJrLKWmltoSSHj5iQk5JP5xBw29JKBMpbE4mPpBjeT1E2WCrw9kyBIOdQNfezPGBDV7JAUPmoAUpWum0GmN5tR1PjhuL9MDY2R1/JMJKYhMLxl10DWOA25FwSM1bgwySjjZEjrT3wkWPf60e3BPmUMECAt34vQShkboW0UCb+oDWoaGKq0VhgVlJgQxyHJQDIoMkAigXIULIcky9HJwTBgoonClxP7JaqB3d48t+/FOYJUB2KMLznHnD52CdwwKnjAB093AZa6uCa6UaorMr7cf5BQKFCzVeQVltTB42J8hXHEqCja6ZSy3OfFEjRtXVLpESqXZUfqQSlNIQcFeSzXjkAg9bi514OlKp0gbxezFKPM4wHQONr1mGCbkBOVg4lM9cKiHza6DGfKxP8mp4H9m4N82SkwWXJNwSvtEOY/v6qRPcntQbunig0QDz2v8qGye0zN+pEJW8KVdxjyHjHSdhL6RwAiThNMjjcjSe/2BQw2DJOHEaAOOjNTjk1o3rii2Y2a0Aef6GBRMDWplBa9UOnFJnGmfPNHMvigaM72m9jAhLCgnT8hCbIT2w4MoQWTboLhUWJFTYdXTIJtgcbsQLfm5vSrdK1Wuqziv/9U0sp/Pqa93wbOhEr1GJPn1vHWSATbokOSxaPoarK51Ye2OWrw9wIooFdJZBdP4Ivu5rXSXCszRyHL4/3fQXrCd/oqCFVtrkZ9rxlHx2slpKvnghzlsVx2GRRtwWGKEb+c8yKR3QaUDhXsa8OCgA/frn/fU4xgJ6JcZJd7rjP7/DZhNVuS4/T/V0avQVjW+PyGpdl4VgmB1wm94S7UTL/9Tgb5WEyodMubm1+HE7Bh82teK5AgDdsiR6GWO839bVRL+unpdbwFwUYMLl/y0G8eMSMMgH3/X/h5fkhUF1XPzcHWlA49OysTotEgEipJaPfAtNI3WzJ211JZAEjpOGgzDBB0WvQ4NYWoiZvcoeGRnLW7OiVZFSGa6F9JSXZcZiZcLbUHXp4+MN+HjEjs8ftAgFDg8eHJ3HR7oHXPAfk3aivkVDhyZoJ1FBSa4qHfJeHJtOa76sxBjUyJR71aQYNbjy6N64PqhiUJIFoShMjMl0oiT+sThm23VAR0TH56YAbesYPZPu/DamjJNaUwZxhd4dsaEHGT4SIXRPgYd4FRp2VLWeB94r6gBI2KMGGsNgShQGkXuZpPD/pEGjIs14u1iG4KJMTFGJBh1+LGCEud0jdfyG3B2qgV9Iw+sxd3Y4EaEXkKuRV3DNq2PA0zHoUWWefl1OO2XPNg8Mj49Mgtn9IrFjUMTcfnAeFhNrTWycjCEPFaB43rF4qedNXAFUDWYFGkQ2mRaO3z2r1Kc/91OVNq7P5deMIwDTVGvtVQYFpSZEMQNSZhdMtpnXY0TA6KNqjwUPZJ21wFphX2bzYPeKgsJ4Y4rAH1gdpoFP1Y6sNsePMFjyIfxqoxIvF5oE3lHuyLALK9xYpoPWuKfKxyY1g0m6k4NjwNMx7l1eTEeXF2GVzdW4fExqbhjRPI+gnFbnGGqE0qLMqJXnBm/7anDxgp7wNpxWEYUfji1N07vF4e1ZXZM/nALft5FcfG7D2cQLJYEWihmQbl9wnP0YBhGEyyucOCwMDG9rPd4l2/W1blw3voqYeY6OZ61yaGG1aDDhakWPFvQgGCiX6QB6SYd/qnvvLan2CmLlCzJBxFcaEL2a6WTza6ZDlHp8OCnPfX4Ymct/m9MCoYmqOd7Gyqc0CsW1y/Ix5nf7sTwdzaiIgDaXCIzxoS7xqdj/hl9MSDBjBt+zedgUUxQwOoMhmECxpIKB87Kig7JO0Dmbh8U2US8l1qPgveKbLg43YI/qp04JSUCZ6T6P9AYow1OTDTjpcIG0QeMnQhOFCiorxq60NwUk04sAJU6PQcUltfVuRFnkJAVoUIwKCZk+bvCjnEpFpzd24qcGF5k9IWjcmLx8+5aWAw6/LSzFoV1LiQ0+W4HyBT74xN7ibExlFJ0+QOyQdJSeIvgsYlSFxaUGYYJCHtsbhFVMceih+zW0NPBD9S5ZdyxrRaRegk9I/So8yi4JitK5PWcHGfGUWGiRQ9XSKuaZNSh1CUjwxw8wqBL8aaZ6UrwnnFWE/6sdmFm8v6/9y+VDhypocjgTHCwutyOMckWTAxg9ORgI9Kow3NTe4jXTs8e5Ne5MDgp8Iu0wbSA2F1ozS9YS20JJCwoMyEHh/IKDortHmRZ9I2ryv4fkKVuHuRJi/ZpiR3lLlmYV0+MM+PKrMiQzNkZLOhU6Fe+kmrUoTjIBGW3onRJo0yMjzPh+zIHZia3bxbraTS7fmWAFaHeBxj/sqrcjuuHJHb477gPeDm+lxUPLS3CsqIGXDUiKaCa5e6G/UyZzsJ9hwk5DFD4wRgEJJp0qFAh13PTxMjQTSHdKIDR16V2XLyhSgyoY2KNuCM3BnN6RLGQHGCMcuDC+qWadMJnN1gE5P8V21DgkEX0665waKwRa+pccOwnKBjlDk8z6ZDeTQsIJiU47gFzYOweGdtqnBgU13FLBBOH9xRMy4nBVyf1gkkv4V/z9wQ0GnZ3Y5K0Pw405VHWUmFYo8wwTIBIMutRHiSCxIFMk+7dXosSp4znB1iRE0Yr9MyBSTXqhUZZ66yrd+H/dtcLwf61/lYkdlFQptzJA6MMWFHjwoQ40z6LSnM5dzLTCcjQwazXodzhQfpBUo8x+yfWpMdNo1Pw74UFeO6vUtwwOoUvl0Zg02ttwqMNwzABIUovwe5RxKp2sJm2kAbum1I78h0yqtwKnu9vhYF9rpg2ga3WdyGCtNrUuGW8XNCAZbUuXJsZhYlWo9+C65yQFIFHdtbi1BQLhkUbRM7kNXVu4ZJAgvhlmVF++RwmfCAh+YTsaHy8vRr/6oT5NbMX+p3fMz4NZ3+7E6PTIjEpRANqMow/YEGZYZiAUOdWYAo2CbkRUhT+Z3e9eP3d8AQWkpl2fZTna1CjTFrdnyqdeCm/HkcnmPHOgDgRdM6fTE0wC63yu4U2vFbQgCFRRhyfZMZtOdGI66LGmglf3t5SLbaXDYgXUZx9hsNEtKtZfmxSBq77NR/vH5uD1CijH+8U0xm0Zu6spbYEEhaUmZBD4XBeQZND+ZA4s4h+6VEhJ4Ks4uyI/C8TjRKe7mflib+GkQMYSM3ro6y9BBt7HDIe3FWHbLMOc1TU7JIP8s09A6+pUnMcYLqPr3fVNr9+7O8y3HuI7ybDssJ9oD2GJFlwVE4Mvt5WjdnDkhDK8DjAdBYWlJmQww2JQ3cEAYvK7ZiY2H5kXH88FD2SeporSvtj1knI5TywmsalYh84GGlGHewysKHBjUEa8qnsEaFHP4se8R3RyAUxzgD2AcZ/1LWwzjgstWPpoZxB59zTfTg8CpIs2hmf1MIZBIslZO2jpZRM1B6Go14zDBMA3LKCJRUOHJ6ofi5V8oH+rcIhytpaF/JsbuGf2ZUHUh+LHjF6HVbVuvzaViZ0IEuJORmReGJPvUiJpCXiDDqckaLOIhXDqMHZvWMxOikCcwbFYwb71PqNwnoXMqLZ7FpLwby0VJhOCsovvfQShg0bhtjYWFHGjRuHH374ofm43W7HnDlzkJiYiOjoaJx66qkoLi5udY6vv/4a/fr1Q//+/fHtt9+2OvbFF1/gsMMOg9VqRUxMDAYPHozrrruO7xfDhAh/VzuRE6lHvEndFDH1HhmTlpbi5k3Voly2rhJnrK7A9OVlmLCkFD+X2TsdDCXBKAmNIcPsjylWI6x6CV+XOzQViI603EOiQl+LxIQONObeMjwJH22vQa0Gff+DFYpBWe3QnosIw2iFTj0ps7Ky8Oijj6Jv375CNf/2229j5syZWLVqlRBqr7/+enz33Xf45JNPhLB79dVX45RTTsEff/wh/t7hcAhB+s033xR/f/HFF+Poo4+GyWTCL7/8gjPPPBMPPfQQTjzxRDE4btiwAfPmzfP3d2cYJgTNrlvy/K46sf1iVKJYFTRIkpgYUOwieh/RySBGNG79U+/GwJ4sbDD7h55f12dF4eqtNZhsNXU5R7E/2G7zIN2kE2mcGCaY6BNrwpEZUXh1YyVuGMqRr/3Bmf3j8d81ZcJX2V9R75nOwcG8tEmnZnknnHBCq/ck1JKWecmSJUKIfv311/HBBx9g6tSp4jgJxAMHDhTHSVNMgrJer8eIESO8jTAYxD4SlL/55htMmDABN910U/P5SfN80kknde2bMmGDJMJ5MVqFhMzfyu34z5AEVT9HUhR8WWzH8Bgj0sz+1VxvsXlEpOB4DQg+zP7RIfCmYz3MepyQYMZLhQ24Izvwwa2W1DgxLIwi3GqhDzD+44oB8Tjtlz04tWcMcmJa5+neH9wH9s/hmVF4+q8SrCqxYVQHfb+DiWB4UmvN3FlLbQnqvuPxePDhhx+ivr5emGCvXLkSLpcL06ZNa64zYMAAZGdnY/HixeI9mWtfdNFFSE9PR0ZGBq688kphYk2kpaVh/fr1WLduXVebxoQpBlBeXv6Ba5V8u0ekV8pVMcAR3f9qpzeH7T19Y/167uU1Tvx7SzVmZ4TupCJUMMraMNE8P9WCNfVurK5zBXSB6p2iBmEGfnKy+rEBtIJJ0UYfYPxDnFmPS/vH4Ym1FT7/jYnDe+4XnSRhZEoktlZpxz1EDUwSjwNMNwvKa9euFf7HZrMZV1xxhfArHjRoEIqKioRmOC4urlX91NRUcayJe+65B2VlZSgvL8fNN9/cvP+aa67BoYceiqFDh6Jnz54466yz8MYbbwiNM8MwwQ/lUa1zy1AhI1QrHthW05ymxl+sqHbioR11eLh3LI7uBtNxJjSgCOnXZkbiyfwG4SMcCM3AA7vqsKTGhf/2s6JnBLsMMMHLabmxWFNhR40G068FI3+X2DA82RLoZoQ9TabXWipMF9JDURCu1atXo7q6Gp9++ilmzZqFhQsXdugc5L/clqioKOHfvG3bNvz666/CXPvGG2/EM888IzTSkZG+aXHqZT0Uz74TZPJPbGuW296EvbvqtZ0zkSasbT1aB2u7NxD1FFnaTz0ydvble7RTT5H9ez4oaFD0kFtoEdqv5zXRPvj5WtRrvFl+O18jnnaMxf1x35QWq+j+um9K46psexr79vIUtlvPKCE7Lgp/2yT0bYy2qUiezp+vnXo2SY8KWY+cmAjUSd5hTpHauc7inrY+Z9t62xtciNVLSDDo8HR+LW7sHY/cWBNqu9hPpbZpIahemz+m9rV7Pp/rKfuYo+9Trx2/tEDUk6VGSxDl4OfzpR71VJvOgHqd0S/na1lPRwN6B7/vsHgTsmqBD6sUzEwyd9t1VnQ6fF9hR7nOhAf7R8Ogk1DXxX4lHmgt6/lpfNHpdD7/Ln2tVy8ZmseAfb5HO+3ztZ6+Tdqprp7Pu9X57TnYsh49udWYH0DR++052FyvRSfcbz0J6JkQjc0NEvoaDQf93HroUa0Y/D9/kfed1/njvkmyvtvmdXUODyrcOqTFRqJOljp+vnbSLmltnk3UKdo3vmbT6xATlElr3KdPH/H6kEMOwfLly4UwS4G4nE4nqqqqWmmVKeo1mVX7Su/evUW59NJLcccddwg/5Y8++kiYbPuCa/IwOM0R+9jYG/US2qZVdLsRuHptTAONem8AmFb1POS3AN/rtTin+Nw2I0f75/OhnqKAXDL3+R6efVeefK4nyV3/vm3qyXUKZL0M2Sx1vX0t6ikeT4t6ig/Xz8d6IlVRO5/btp6MjtXztOgH3plEKzz7Od8B61GnpQeSuB+t6yntXL/26m0vqEfD5gakHDsYnkbNllHx+PR9Kf6QT/XcgHHTalgTjDAeP8hbj9rX5ssZdEr7961Fvc+/2oIlm8qRlRiBXr2TcNhJfff7uZ2+b4rcWK/1Hxvba19H6rWZTbRfT2qnfQeo12IRykgTk/Y+t/WugNSjtkY06BEZ49FM+66oceK2T7diysSeSIw2tq7XKHx2+H4cpN6uCie++nQLHj5/KCJiI/zTr9oYo/llvCIMep9/l77Wk2p10Mft7/t2cnyhevSw6cT4d6B6it7QtfF5P/UUvc6/41VzP5D89xxsrCe1uAYHek5nlgGFfVPRc0jqQZ/n7goZzmSDf+ZXLesZdP6dDzXVa1G50/O1tvUaF6Ha1luzoQTDBjmhTBsFd2euixiHND7PVhS48+pbH2AYH/Gb/RUJfGQeTUKz0WgU0aspLRSxadMm7N69W/gwdwYywSZNMvlB+0qK1YDY6CAwL1PDh04tvzxV2rrvamTXoUBLOsRa/HtupYXgue+65f6QAnQN6AmhzXM+v2w7zh6fhIFpLX6fbv/a+FQ0yLDZbEhOjUBqVKvVHh/P4K1X0+DC1t0lqK1twD+1tXjugvFIjQr332xw+HrRGgFN4lIjtWOemRmtx8lDo/D2/C146pz+rQ82TmT9CU12r/1yPWYfnoZDMkmz7qdroZZyxnCwsbBjv1/C7tEhLUYFG0I1pheGQF3XTuJzn/X9eSn5GI19VK8o/PbXdpwxKf2gdW1OBT0SVUhFqMJvVrXz7uecH+8qxMh+VqTG6bV1DfxMebX228kaZW3SqWH5tttuwzHHHCMCdNXW1ooI1wsWLMBPP/0kzKkvueQS3HDDDUhISBCBu8jvmIRkinh9MO699140NDTg2GOPRU5OjtBMP/vssyJA2FFHHdWZ5jJhhotWarU/JoZ18JAYi3qLWB5ZwZH3/CHiJzx+/uBOn8ftkXH9W+uwo6RBvL/i6J7ITLR4VQFMUOD0qCQgdIGLJ2Zg5jOr8cfmKkzo1zqWhz+RZQVP/rATCdFGnHqo79ZcoQa7sYYmZ0zthXfnbsHSDSUYOyglIH2AXGYqahwoKK1Hv+w4mE0qCOMqYne48eOfO/H0v6cg1HEFLo6iz2jNL1hLbQkknZqtlpSU4IILLkBhYaEQjIcNGyaE5CZB9qmnnhK+RqRRJi3z9OnT8eKLL/p07smTJ+OFF14Q5ydz7fj4eIwcORJz584VftEMwwQ3ZqMOdhVnr2Nu/pXsIvHfK0YgsguBvJ78Zhv+3OSNrHrx1Gxcc0wvP7aSCVdMBh3uPLEXHv1uB77pN1KVz6isd+GWjzbD5Zbx5PmDOD8qE3KYDHrccvZwPPr+anz6wDToVdRsemQZBaUN2JZfje0FNdieX+PdFtQK8+vUBAv2lNRj8sgMzBiXjQnD0mFqY5qvRV76dA1GDUzF4N6ck5ph/CooU57kAxERESGEXSod5YgjjhCFYZjQxGzUw0EObiqt8Dc4PHh01jDER1OOTbnT2rg3f90tXj9w1kCcNi7Dzy1lwpnxfawoqnKi3uFBlJ9zfK/aWYN/f7gJJ41KwVXTsqFv9PtlmFDjiFEZePT9v7GzsA69M/2XBnBnYS2+/3MXtu6pxrb8GuSV1CE5ziI+o1dGLEb1T8ZpU3ujV1YcYqO8uZwrax34eVke3v1hE257cQmmjMrEMeOyMW5YmhDq28Pp8nj9nNsJzKc2JRUN+OCHjZj74ind/tnM/jW4Hg3lLmaNspcgcOJlGCaUiDDq4HCqIyg3TThWbqvEqD5JnT7PpoI65KZE4r1/HYIEIXAzwYh2phyt+X1zldjW2d1+E5Rpkejt3wrw5m/5ePj0vpjQL94v5w12tNoHGP9QWecQGt2udgJaHP3t70K89+NmbNpdhZmTeuLosT3QO9OKnLTo9jXELbTY8TFmnH5kH1EqauyYuzQP//feKkwbk4XrzhrR7mcOP+9DzDltKK4+fRi6m19X7BHbYDMXD+VxgE2vtQkLykzI0V6KAEY7mIw62FQ0vab0N7+sLcXl071R+emzTn58KX68c7zP5/hyWSEOH5jIQnKQo9foQPDBkiJcOTULqVZvmqiuUt3gxh2fbEZlgxsfXz3cb+cNBbTaB5iuk1/WIFwZoi2tU8C15WDxwWwON2bdPx96vYTzZvTDUWOy9qsF9oWE2AicdVRfVNc58MFPm5GVEo3TpnqfR02UV9tFxsl5y/K6VVAmLfajby3H8nXF+OTx4xEZceBrFyoEScwxRoOwoMyEHAa9BJ0uGNYPwxMyNauqUy+yxi/3H47Cak9Tphnkldmwq9Tm89+//ssuLN5cgbevHqVaG5nuwaTX5jhw/PAkfL+mDBdPyuySBvmfgnos+KcCn68oxoxhSXhqeg6MPkYNDhfCRGEWdrz81Qa8+cNmnHdUawG0PUyGA/+O7nt9BfrnxOGBy8b4tY2XnzwE0w7tgQvv/xmHDEhBbobXPHzTrkpc9fhCEQAsLSES3clNT/8mth8+eiyiDrLAEEoY1Yr87kc46rU2YUGZYZhuZeHaUpw5sYdq50+xRsASATQ4vUJSdYNXKF+zqxrDcqwH/Nv3FuXhsyUFeOeaUY0+zgzjf44cnIAHv9mBp+fuxuT+cRiZ09q/sqTGgblryzFvXTmcbhnJsSakxJqQHGNCfJQR6/bUYtHGShE9fsrABDx57gAM6xHDt4oJG6rqnLjqpEGYNaPfAbWnr3+3CV8tLUNFRXmrY1Kj3ZkCBdmpMXj/3mmqtLN3lhWXnTxEmGG/ePNk4cd876vLcPkpQ/Dql+sxvE+iyLBg6IYFrq15VVizpUz4JdOCNaMtWFDWJiwoMwzTbWzOr8Xu0gZMG5HabZ9J6aKIM59cgfMmZWF8/0SM6ROHqAhDsyC9p9yGPzdW4NNGITkplk1XGfWIMOpxwYR0FFc78e8Pt2B8XytmTczC0m1V+HFNGXaU2jB1UAIuOyILsRYDSmudKKlxorTGiQ35deifHoXLj+iBzIQIvk1MWDKsdwL+8+EaRJj0OOnwnvv42i5eV4z73/4LA3PicO/Fh2B4r72a27bxkswmnapRsyeNzMBDb67ArS8sxvINxXjtjqnYUVCDpLgIfDJ/GzJTonHFKUOgNm9/uwHnzOgflELy3MU7ce1jv+K9h47B6MHhm+6O6X5YUGYYptt4e/5OnDslu1tWz5sY2zdeRK6+68N/8N3KYmwvbsCt761HstWM0mqHMNXPSrQgJykSb8wZidQ4Fj4Y9blyqteqosHpwYu/5GH26+tweL94XDG1B8b0trIJtd/Qpvk90zWOPSwbGUlReP27jXj+8/U4fnw2kqwRwl952T+lWLejAnfNGoXDh6ZhW4kHFnPgprskzBNfLtyOe2ePQYPDjeuf/l3smzgiHW9880+3CMpfzN+KN+49GsHI6EFe4fi8O37AdeeOwvGTeiEr1XcrGu0bXnMwL63CgjITcpDPkYYi7DONlNc48OuaYtxy6uRuuSZNfYAiYVN6p0mDEnHj2+twSO84vHTZcOG7nBZnbtYsM6FHMKS3iDTp8e9jeuLfx3GebjWQFZoiB0FHYDrMiD6JeO5fE7CzqBY/r8hHTb0LBWUNQov88OxDm7XMHnWSLPhMakIkNn58LjbtrkRKnAXv/7RZ7D/ikEw4nB4R7OvrRTtw/OE9oaNopCowd8ku8Sy0NqazCjYSrBF46t9TcP1/FuCHP3bg6ff/wppPLvA5XzWZNWsdGYqm2kntYVhQZkIQlweQg8+yKOT58LfdOG50BmIj1Q8g4lEAl9x6gpxiNSMp1iQEE4qU2jstSvV2MIHF6QkGPQKjJioG2Gc0Qs+0GFx6/ADN94H+2d6UbRTluinS9RPvrxIa5o9/2YqPft6CV2+fishI/wqz5AN967O/4/P/HI++jW0IRo45PBd//l2AP1YXiPc78qvRv2eCT3/rUi9+KBPisDjBMIzqUFCVj37Lw3lH5AT0ah83Kg3vLNgtgnYxDMMwTCC58dyRuOviQ/HOPdOwcmMpLn7wF79/RnmVHfGxEUEtJDdx68VjUFBaJ17PvO4rbN9ThV2FNQgFZFl7hWFBmWGYbuC7FYUYmmNFTkpgtbjThiXjztP6489NFQFtB8MwDMM0QSbXFx4/AEeN8X9GiNIqG5LiLCFxsSml1dsPzGh+f/8rSzD9ys+Ey12wI8uK5grDgjLDMCrz9Feb8fhnG3Hp9MD7YJIJGuVJntDfN3MtJrjhxzzDfYAJlk7QJ8uKRasKhAWWv6BzbdxZgZT40BCUibFD0zGg0eR6ydpCsV2xobj5OAnNxeX1rYTnIOkCjAZh02sm5KBYGOyZqB3+3lGFh84fipG9us/si+6/rp1H4ytzd4rcs+dMzOq2tjCBQ88DQdjDfYDpxiQLXeKkyb2QaI3A9U8uOqiwTObG85bu3mf/hu0VGHDauzj7jh9x1JwvcNhFH+Pt7zZi8iGh9cz75D8noFeWFW/eNx33XD4Otz37G17+5G8sX1+EKx76GSf+60tMnf0JGuxe52QVs3/5PY+ylkpHeOSRR3DooYciJiYGKSkpOOmkk7Bp06ZWdaZMmSKCyrUsV1xxRas6u3fvxnHHHYfIyEhxnptuuglutxuBgsO9MiEHpfvR6Xj9UCsc0iceG/JqMHV4arculhhaBMPcVlSPN+bvwuLNlfj034eKwZkJfUx6HgfCnTbpdZkwxBQkM11Km/j4NeNx13+XYeLsTzF6YAoOH5EhSo8WqZC+/X0H/t2YXmrmpF547NoJsDvc3vRT/10q9p89vR8OGZiC9MQobyTtYJAUOzjP0+skRFqMOGtGfwzITRC5lh96dSlOObIPZp88FPe9srg5LZjRoP1nPpk6ezRk7txR0+uFCxdizpw5Qlgmwfb222/H0UcfjQ0bNiAqaq/b3ezZs3H//fc3vyeBuAmPxyOE5LS0NPz5558oLCzEBRdcAKPRiIcffhiBIEiGD4ZhgpVRvePx2tztqp1/V2kDfl1bigGZMeibEY3yWgfW7WnA1iI7tueXY3NBndAtnzupB249uZ/QKDMMwzCMFoXlR+aMR3WdA4vXFokIz//9Yp1Ig0QCc73NhfXbynHhCQOxbms5vlq0HWlJkXjl83WYflg2Pn7kGAzrm4RQZ9m6IiFU0nelhe+RA1JEaeKuF/7AadP68aJ4N/Ljjz+2ev/WW28JjfDKlSsxadKkVoIxCcLtMXfuXCFY//zzz0hNTcWIESPwwAMP4JZbbsG9994Lk6n705vxjJFhGFUZnhuHdbuqhX8wTQL8zY7iejz2xWaRH3lXSQMSY0zolxWHnNRYYWLdLyMaqVYzPzAZhmGYoMAabcaMcTmikK/t9vwa/L66QAjQ98we26wp3bSrEjc+9RtOmtILj149AaGOyy3j/lcWY+HKPbjvyvGtnuu0iPDkuyuRX1KHVRuLcf15pyKY0FoAraa21NS0jipuNptFORjV1dVim5DQOibM+++/j/fee08IyyeccALuuuuuZq3y4sWLMXToUCEkNzF9+nRceeWVWL9+PUaOHInuhgVlhmFUxShM4SVU1rmQbD344NpRiqscYvvEhUORGhchXtc6gAangtQo7Tx0GIYJBDwGMMENCYO9s6yitKV/Tjy+ffpEhAu04F5aaYPJqENFjb3VAvzbX69HUVk9zj1uIO64dCwSrN75AKF9w+u9PspaoaktPXq0jsR+zz33CO3uAf9WlnHddddhwoQJGDJkSPP+c845Bzk5OcjIyMCaNWuEppj8mD///HNxvKioqJWQTDS9p2OBgAVlJuSg1VcNjTVhz5dL8jG6T7wqQjLR4HDj0mk9m4XkJrgPMBpanGcChKzQFJk7Qjjj4XywIQNp0l++cxrWbC7FQ68vFdrja88eicoaO97//h8R5CsjOXqfv9OSABps5OXlITY2tvm9L9pk8lVet24dfv/d60vfxGWXXdb8mjTH6enpOPLII7Ft2zb07t0bWiRkBeW6XsdBF7vvj0VrSJL/R3Ad1HkqSCqcV43v37CnHMYYA9xxewME+AOdpE7UPZ3kjcrobyRFhX4gd+wauFwevPrQ/XjmqUugG5x9gPMePB2GxyNj1d87MGJYTxhaROqybfwRkZIE3RHTm/cp1XZ4qhugy9w7uPsNNa6rGuckZDXaGhwTDkVW4NpaBV2/7ou23iXUCjCnRhAfSaXAQCqc17WpArpBe30X/YZOhShhOnWmZIpK90tWjH4/p0fx/zWwr8+HY1BPv59XUdS5rooPCWlWLF8Po9GAocP6QtfmN15RUQ2TyYjo6L1zIFmlJDdqXYOWOBxOvPriR3jr9c/w51+fiO/Wqw9w2K4YyDoJdX1m4sX/vIWjTzwKsePORV0756ip+gdaR6um17Gxsa0E5YNx9dVX49tvv8WiRYuQlXXgaOtjx44V261btwpBmcyxly1b1qpOcbE39df+/JrVJmQFZYZhAs+CheuQkmLFkAMJyT6yaXMBLrz4BcTFR+G4Y0YhPi4KGzcVYMXKbbjqir1CMsMwDMOEMq+98hl27siHx+3BxMmHYOKUQ1BWWomff1qMVX9txOlnTsdNt12EYIeiIF958V1Y87c3zdCWTTvx5qufYsH8pRg3YSSmHzsRxUVl+PbrX/Hxl88imNGqoNwRa85rrrkGX3zxBRYsWIDc3NyD/s3q1avFljTLxLhx4/DQQw+hpKREBAIj5s2bJwT1QYMGIRCwoMwwjGoMG5aDv/7ajvNnPS3eL1u+FWtWPQWzueOaCLvdhZEjcvHIQ+fg2+9WwmZ3YfrRw/Gva45FTnboR/lkGIZhGCIpKQ6TJh+CqdPGYtGCFfjs43lISLDivAtPxOwrTsPzz/wvJC7UF5/OQ4TFjOVrv8Ab//0Ud936FHbvKhDHli35G3HxsXjuyXdwyWWnIz5hXx9upvuYM2cOPvjgA3z11Vcil3KTT7HVaoXFYhHm1XT82GOPRWJiovBRvv7660VE7GHDhom6lE6KBOLzzz8fjz/+uDjHnXfeKc7ti8m3GrCgzDCMaqQkex9cDocbf6/Zidzc1E4JyeIcTpfwM8rMSMD4cf2RkBCNrMxEP7eYYZiQQjsKGiZABIm3SIcgYfi8s25F3345OOPsGaI0UVxUjr9XbxLaWL0+eBOJl5dV4dUXP8Qrbz0kAppdcvnporz39lf4/utf8fhTt2DeT3/g8qvOQla2VyO5X4KgDwS7Rvmll14S2ylTprTa/+abb+LCCy8UqZ0o7dPTTz+N+vp6ESTs1FNPFYJwE9RfyWybolyTdpnyL8+aNatV3uXuhgVlJuQQ6QKCIcRhmNyLTRueFxEQBw65Fjt2eH1NOsOA/pnCzHrA0OtgNOqF+fVjD5/X/ucK32/uBOGOGu65THChUyElHRNc6PWh9yzI6ZmButoGXHbxvVj+90et4nZs2LBNbO12J6KiLAhWnv6/N3Hy6UejZ25ms2nvi8++j98WLMfz/70HSckJuGj2aT6dq60ftxbRatRrX6H7cyBIMF64cOFBz0NRsb///ntoBe33HIbpIPTACIZBMZzYsrVQbKdMHtzpc0RFmVsFCTvQPaZ0VAYD94Fwx2QMXm0K4x9MJh4Hwh2TKTR1Qnfff6Uwwa6q9Oa5/e6bRTj9pBsw94c/ceElJwW1kExm1WvXbMKFl3pzIZN2/JH7X8bK5evw37ceEkJyRzCGaB9g1Id7DsMwqrNw4XpcNGsqbr3llE6fo7q6AVMmDUJBYSVuv+VkjDusv1/byDAMwzDBwsmnHonamjrMOPJy3HrnpfjmqwUisNfcH//AlKmHIhhpaLDhrdc+xxefzsXD/3ejWAQwGA34e9U/2LxpB1567X5YIlunggwVPIoCj4ZMr6k9DAvKDMN0A/Hx0fj40z9x3b+OR0SEqVPnuOCi53HcsaPw/DOXCtNrhmEYhglnLrhoJvoNyMW3Xy+Ay+nGVdechWuvP/egZrBaIm93IfbkFYnt2699hnGHj8L/Pn8a0VGRmDnjcpSXV7VKfZUZooJysPsohyqsUWYYRlXogf36m7+Irdt98HzJ7dHQ4EBJaTXmXDHd64POMD7AXYWROGAFE+IcNm6YKC0JlufkZx//hP+++CEGDekDqzUaTzx/BwYM7CWOvfD0u0hNT0Zicjz6D8iF1RqD6Ji9uaE7QpBcDkaDsKDMhBzelVReCdMK9MC+4boTcM2/XsNPc1fj1FPGdfgc69bnISc72eeHP919LQXFYAKDlszYmMDgkWW+9GEOa8a0h8vlwn8eeR1r/96IN99/FBmZqfvUWbhgOR549Dr0H+AVnEO9Dyga0yhTexgWlJkQhLSWsoeXD7XCot82CCF58qTBHRKSKQDYK6/Ow1+rdsDt8eCyS6b5/Lf0sHG7eYIc7jid3AfCHaezc1YsTOjgdLoD3QSmzRxtyrhzMXRYf7z+7qPt+hzv2V2I+roG9Ouf65dr53S6NH8Pgj3qdajCGmWGYfzOhg15qKisE/7I3/+wUuxbuGg9PB4Zeh/StRQVVeGyK1/BRbOOwPX/Oh4Z6fFBY0rGMAzDMEz7bPpnOxx2J6YcOXa/gbkWzF+KSUeM4ec+E3BYUGYYxu9c/a/XkJ9f3mrfX8uf8ElIJu598BPMmD4SF5w3me8OwzAMw4QIu3cVILtnhti++tJHOOa4ScjKTm/WJL/z5pdYOH8pnn7xToQTHMxLm7CgzDCMX5l58iOthGTKZ3zvPWe1yoN8MC68YAr+fcs7OOO0ccjtmcJ3iGGYzsHWg2EPW5Bqi+EjB+CU06fDYonAnrxCzL7wDvTITofZbMK2rbtxwklT8fn3L/k3D3QQjAMUTkFLPsoc3sELC8pMyCFMdNlKN2CB1DZuyhevD58wAJs2FeCO208T2uGOcNiYvrjl3zNx/kXPYeKEgRgyuAdOO+UwmM1Gn/6ebr+OTbXDHp1vBgxMCKPz0YqFCV30ep4QaAkK3HXerJnN7+f863wsXbwaNpsDU44YI/Im+xsdPwyYTsKCMhNyGAx6HhQDuEixacPzQmAeOORasb3uhjewZtVTPgu5TZxw3GgMGpCFv9fuwtPPfYfhw3oKgdkXdDpJaLKZ8MbE+bbDHpOJx4Fwx2Tiqa7W52wTJh6i6mcYg6APeBRFFK2gpbYEEu33HIZhgg6Xy92YpsvLsJHXY93fz8DYQcGld+80NNiccLk8iI3xoxkWwzAMwzCMpkyvoRm01JZAwkutDMP4HZPJiNNPG98lDW9dnR0PPvIZ5vzrNdx9x2nIzk7iO8UwDMMwDMN0CywoMwyjChfNmiq2zzx1Cf5Z91yH0jz8/sdGHH/SIyKwxXdf3oZjOujjzDAEu6kzEgesYJiwJxieBU1Rr7VUGDa9ZkIQr8kv/8ADTX5BhdiuXberQ8G8ZFnGnff8D48+fJ4I6tUZ6O7L7F8T9nj4QR/2eNh+MOzhCT8TDH1Aa8KpltoSSFijzIQcbrcHsod/4IEmIz1ebN95dwGqqxsOWr+yqh79h/wL7//vdyQlxXZaSG4a4N1udrAJd5xO7gPhjtPpCXQTmADjdLoD3QQmwDidrkA3gQlSQjaY1887ExAZHQOto0bEerXS4uhUOK1BhQtQU2JERG0UImpi/XpeoxoXQKVr4D2v/9vr6ylJq3/xiWObJynzt/VGalaPA14Dl9MpXpNf8r8ffwbLKiZ0up0NtTVwNdShtDYT/kaNbqDWb1aNrCjBknZLlj3Y49kKyd0fwYBaFhBqrBmq1VY1FBi7av9BQ8UAv5/XrYKmWi0FjlulE6txDVwqtLW01IM9u7OD4vsTcjD9ZoNkLbKg2L/zQTVQoGjKEo7aw7BGmWEYFSB/5Aff+rD5/cv333HA+nU11XjsxqsxbtoMvPHznxh+WOeFZIZhGIZhmGAi0P7I7KPcPmx6zTCMKmTk5Da/dtjteOPxB/db99PXXoaiyLjyrgdgNJn4jjAMwzAM4x80pKllggsWlJmQwxtdOTjMQ0P9Plz3yJPideHunfjt+6/x7ftvtVv3ly8/weY1q/HDR+/77/NVMmlnggcd94Gwh8cBhvsAEwx9gIJPaq0wLCgzIYhObwiKQTEcGDza66fcREVJ8T51aiorcOolVyCnb3989vpL2LHpH78ISHp9yIZgYHzEYDTytQpzDEa2UAl39AYeB8IdnYHnA0zn4J7DMIyqgoolKhq2+jrxfv2KZbjzorOFD3J23/749r23UJK/G3GJySJ0RGJqGqorvWmlGIZhGIZhwgFOD6VNWFBmGEZVJh9/En786D3EJ6fggutvFibWX7/zOowmM6KtVkw8bib6DhqC5PRMfPXO69i6bg1GcDAvhmEYhmHCBIp4raWo11pqSyBhQZlhGFU588prceRJp6GmqhIPXHlR8/7h4ybAYbPht+++wqJvv8Kcex7CFXfej7tnX4Deg4Zg5PiJfGeYrhEkqawYFeEuwPA4EPZ4Y9cwTMdhQZkJOSiHL0c41BZJ6Rmi/Oejr/Hu049jx8YNMFssmHbKGaivrYHJbBbm2GSqfc39j+LJW68XGuZREyZh1OGTRATtjjzovF0gSBI8MqqhBEuST0Y1FA/3gXBHkT2BbgITYILhWcCm19qEBWUm5JA9bhaSNEpcYpIQiimA1x8/fidKExcdOQ7PfPY9eg0YhGc+/Q5b1q3BX38swlO33SgS3x8yYbLQTKdm9Tjo55CQ7HG7Vf42jNZxOZ2BbgITYNwu7gPhjsflCnQTmAATDPMBFpS1CQvKDMN0Gx6PG3nbtiDCEgm7rWGf4/dcdgGsCQmIirEiKjYW1eVliIiMRGHeLmzfuAFDC/J9EpQZhmEYhmEYpiuwoMwwTLdhMkfgkXc/3Xcg0ungdrlQV1MtTLHrqqvF64jIKFgiI5Hdpx+n+mEYhmEYJiRhjbI2YUGZYRhNQP7JZJpNhWEYhmEYxi8EQQRn2aOIohW01JZAogvopzOMCniDPnGEw3BH0vHwFu7ouA+EPTwOMNwHGO4DTGdhjTITcuj0Bh4UwxwSkPR6Ht7CHbJSYMIbg9EU6CYwAUZv4HEg3NEZgmA+IMvais6tpbYEkCDoOQzDMAzDMAzDMKGJrCjCT1lL7WG6YHqdn5+P8847D4mJibBYLBg6dChWrFjRKpft3XffjfT0dHF82rRp2LJlS6tzLF68GCNGjEDPnj3x+uuvtzq2cOFCTJ06FQkJCYiMjETfvn0xa9YsODndB8MwDMMwDMMwDKM1QbmyshITJkyA0WjEDz/8gA0bNuCJJ55AfHx8c53HH38czz77LF5++WUsXboUUVFRmD59Oux2e3OdSy65BHfddRc++OADPPLII8jLyxP76XwzZszA6NGjsWjRIqxduxbPPfccTCYTPB5OHM8wDMP4gIhXwIQ13AUYHgfCHm/smuCIeq2lwnTS9Pqxxx5Djx498Oabbzbvy83NbaVNfvrpp3HnnXdi5syZYt8777yD1NRUfPnllzjrrLPEvvr6eowaNQopKSlCyK6trRX7586di7S0NCFsN9G7d28hPDPMwaD+FwwRDhn18HYB9q8JdzTl78UEBMXDfSDcUWRWsIQ7wfAs0JpwqqW2BJ1G+euvvxba3tNPP10IuSNHjsSrr77afHzHjh0oKioS5tZNWK1WjB07VphbN0Gm2QMHDhTHDjvsMAwaNEjsJyG5sLBQaJMZpqPIHjcLSWEOCcketzvQzWACjItddcIet8sZ9tcg3PG4XIFuAhNgeD7AdKtGefv27XjppZdwww034Pbbb8fy5ctx7bXXCtNo8iMmIZkgDXJL6H3TsSbTa9Iuk99xS7NtEsB/+uknTJ48WQjNJEQfeeSRuOCCCxAbG9vpL8swDMMwDMMwDKMlyPBBS7mL2RCjC4KyLMtCo/zwww+L96RRXrdunfBHJkG5I5DvMpWW6PV6Ydb94IMPYv78+cLHmT6LTL6XLVsmAoQdjNrCPDjM5n3MLfRGozd1UIu+6HG7AlZPIvPQFq4TOkNjvRbIrsbz+VivpS/G/ttHpkgdq6eTAF079WS3C7LsgdTifL7WM5pMkHR60gHu/VzX/q6fb/Vs1VVwRETAZqls8T32c74WJtoHq6enC9D8ufteP0pJ1HKI87UeSAPuaX1/vfX0XjPylu3rQL2m9raq1+b6tb0fB6vX1LUM7dwPN31fiiHQov/5Ws9sMkPSt+4vpAlqez8o1Ysv9ajNHpezlTaJPlf2eFr9PvbXvgPVk1p+jzb312Da9374Uk8nSd7PbVuP7oe+dT/tSD3xpGvxPYzt3N+m7+trPWrr3u9h2idXMWlx6RnR0iMsEPXodVV5mRhjtNi+tvWaIox29H4crJ7T6f9+5fG4/dLv29ZTuvC73F+98sJ8n8eNjtSTxfn9M/411WsZZbYz4/P+6nlkpcPPD1/quYXVjn+eg031WsoJnXlOt1evurgAZEXakXmEL/VgMPh1PtRUr6XXUGfna23ryY2VOzqfPFg9tzNw8+eO1KsvLYTWYdPrEBKUSVBtMpNugkyoP/vsM/GatMBEcXFxK6GW3lOUa1/JzMzE+eefL8oDDzyAfv36CWH8vvvuO+jfLt7khMnSXu48X01wWtfbO+lpa61OA1N7/i+Bqye1EJD2X0/v4/n21tOJ89LA1NbXQ2qnK/lWz2CkEc3dzndt+319r6dr8AAm2Vuav0Pb74t2vu+B6+kNTceoX/mSl9G3egfO89nyXnasnsGgO0g9s4/n21vPQJPILg8n+9ZrKdTvxeLj+fatJ9vrofd4oJdbXn9fc2keuJ73d0D4mp/14PUMBqn9ejYfz+drPXS9nr5lUBR/t8+P9Why5KyvRn6lSZPta1vP0zzJV+e+7e9zO1PP7VZUad+BfeI69/u115uxu8zo1/GlSfj01/jXhLuVP3XHx+f91XO76bz+f864Xb585449Lz1uT5ee0+3V01Xr4XZSW/0733C7/Dsfaqq37++g4/O1tvWUVufU9jx2X3fizs3bW6KUa0dTy4SBjzJFvN60aVOrfZs3b0ZOTk5zYC8Sln/55Zfm4zU1NUIzPG7cuE41lEyzSeimAGAMcyAUmshrP8Ahoybi/nMnCHuCINIpoy6S1OksmEyowH2ACYI+QIsZWitMJzXK119/PcaPHy/Moc844wxhDv3f//5XFIJMnq677jphOk35j0lwpjRQGRkZOOmkkw56/ldeeQWrV6/GySefLKJdU0opipq9fv16kSaKYQ6IRKuq2h8UGZUnx2QyyoQ1ksFXLSQTsug7Nc1hQglhRs2EM4qYF2obcs2hohW01JZA0qknyKGHHoovvvgCt912G+6//34hCFM6qHPPPbe5zs033yy0v5dddhmqqqpw+OGH48cff0RERMRBzz9mzBj8/vvvuOKKK1BQUIDo6GgMHjxYpJaiAF8MwzAMwzAMwzAMoxadXmo9/vjjRdkfpFUmIZpKR6HgYO+++25nm8YwDMMwDMMwDBMUcDAvbcI2SQzDMAzDMExIsjdXARO2SEEiKGspPRT7KAtYUGZCEPKr0M5gwwQAiiCsKCKdSU1JPsp2bETpzo0o37kZqX2HYOSJF0J/wGjjTEjQIl0ME6a0zLXDhCUiDScT3vCzgOkkLCgzIYdEAQh4UAxL3E4HyndtQuXOf1BftBN5m9fDHG1FTfGe5jq1ZYVI7jUYOSMnBLStjPoobl/TijChiiJyPjNhjcx9INyRlPbSVWkLijKtJS0uR732woIywzBBj+xxY/uSn7Fh3ieISclAUlYuzJEx6DNhBqLjU7Bx4deYdMntsMTGwWC2iBgKDMMwDMMwWoB9lLUJC8oMwwQtZFqd9/efWPvD+4hNycLE2Xdi+9Kfsfuv35DWewAkyYD1KxdhwgU3IjYlI9DNZRiGCQrcTjv0RjMvKjIME9awoMwwTNCx6ss3sGftEuFnbIqMRkJWbzRUlePnp28W2mVKQ1e6/R/kTDgOM+/25ndnGIZhDkzVnq3YOO9DVO7ahOjkDPSZfDLSBo2BpNO1u1BZX1aAyIRU6BrzVW/+5UPIbheyRk1FdHImX25GGwSBOx6ZOmvJ3FlLbQkkLCgzIYciSWDL2tDEVl2Bwk2rULRpNXqPm47UfsMQl56DP9/5Dyp2b0Hu2GnoMWwcDHoJZZtWITajZ6CbzAQSHghCJvYAxRYgAcwSm4CImDjo9Hqf/laS9hXwmP2T//fviEnJwqHn3YzynRuwdcEX2PTzR8gYOh5S4zVvcl0p+mcl7NVl8LhcSO47HHE9+iF/9UIhJC9/5yHkjJ2BXoef2OnLrcgyHHWV4jNsVWWISspAbHpux0/EfYAJgj7AptfahAVlJvSQ6GGu/UGR8Z3ty37B5oXfwFFXjdT+IzBw2qnIGjIWBnOEOD7xktuFRnnXygVY/smL6DN2KgZOnQl9VDxf5jBGMhgD3QSmA9jralC+a7OIVF9bWoja0nzUlBTAaatHTFKasCCx1VTCXlsFY0Qk4rN6IXvYOGQNHSOE53Zp1HSGInQdGiqKYYlLQkRsQpfNpN0OOxy1VYjNyBXXOqXvCFHKd/6D8m3roHg8UFpklMgdfzxS+o+Gs6EWpZv/QsmmFeg79UxkjZwiju9a8j1qinbCmp6L2IxeQsil+3YwSjYux+Zf/gdHbSVMUbGwWJMRYU3E1gUfIy6rH/pMPRMWa5LvX0zn26JKEyJbQsE2uB02xGcPgK6dccTjcmL3kh9QW7wTstspLJloIUfxuCC73ZA9e/eRtj0iLsX7PeJSEGFNhkVsU2CMjGHz9m5AEfNChuk4ofsEYRgm6Kkq2Ik9a5Yg7+8/0GfCMegzfka7JoBEZFwiBh55KnqOPgK/PnszcoeNRRQLygyjaUgb6XY5YI6MxpofPkDhP3+hx/BxiM/KFZHpKTifpY0QSIKMEM62/4O8NUuw+tt3kdJ7MCZdcitCGWdDHVZ//ooQ4KoLd4osiFFJaULb6rI1IDo5XZg7x6RkerfJmdAZDKguzkd9WSHqy6kUwVlXDUNEJIwRUd6tJRJuewOKN/6FpD5DkTFkXKvPTew5UJS2uF3etEuUWSBr1BGiNNFn8qnIGHY4agp2oLpwO7Yt/FwIzSZLtBDEY9N7wSq2uTBERKGhogiVuzaiYuc/KN26CkNmXoWE3MHQtRByhXC67Acsff1ORManICq5B2JSeiA6uQeiU7JgirIe+PrVV6N8x1pUbFsDU3QckvqOQkN5IepK81Bflo8IaxJMlhgU/7NUBH00WqKx7qsXkJg7FMn9RyOx93Dht12ycRm2zv8QsZl9kTp4AnR6oxCmRWl6rTc0v/a4nbBXlcJeXQpbVQkqd65FQeN7j8MmBOcIWuywpsASlwxzLC0MpMAcm9QqjSFp2En4brmP3lftWifqRyZyHI5ghnIoayqPsobaEkhYUGYYRnOUbFuPoo2rhMakunAXMoeMRcag0fsVkltisSYgNrUHyndtQVRnzPQYhlFNY2yO8mrQXA47Fvz3IZRs3wC9wYDIuCRYYuPhsjdgyNFnwGSJ2u956O/NUbHIGjpWlL+/ex87Vy7EjuULEJfZE9bUrGaf2WCFFgPqSgvQUEnCVSkaqspQtWcbSjavRnx2Pxzxr/+00qJT8C2qT6W2JB8Fa/5EbckeyB4PohLTEJWYjtjUbKQPHgtTtBUehx0uWz1cdioNYmwddOwsmCJj/NJ+Oh99JpX0oeObv5OtshjVBTtQU7gd23/7CjWFO8R+I8WayBmIuOz+yD38JOH33BYSEHMnzET2mBmoK92DupI8sS3dskpsKWd2ZHya0HqTJrdJo2uNtqC8vEL4qSbkDkFir6Gi/rYFHyM6OQtRyVlI7jca9aV74HbUY8SZNwkzb8JFCzJbV6Fo3R/Y+MPrMEV5MycMOWkOolJ6+XQtDIiCOToe1qx++xwj4d9eQ0JzGexVJY2C9AbYqkvgqC6D3hwhhGDZ44KtvFC4k1iz+iOx90g0VBSg5J/FkF1ODDntpi7fMyawyLQQQulNNYKW2hJIgvtJwjBMSELmeZsWfIWI2Hhkjzwcw447z+e/Ld2+AfVVpUgfOFLVNjIMc3BICCK3iG1Lfsb6nz+HpJMQnZiGmOR0VBflCUGm99ipGDD5BJRs+0ccI8HtQIJyW3qOnizqU/yCDfO/QF15EaISUmE0R8AaE4N6p0doVknQIg2fvlH7p2/xep/9Rq92UGyb99PfG0QbJcNerZ4a1+zvL19FyabViEnNQmRcMizxScg+ZAr6Tz1VxF4wmi2t/sZgikBcZi9R2uJ2a2PCSwsckQlpoqQ3aq3pu5I229h4vz3ug+e7Ja2uNaO3KC0hKwMSxMkfle6Tju6X3gCTqwaeyFQhdB7IZz2h56B99pFpdMawSaLQYgQJ02RGTudp0qh3BeqTUYmZojTRlEuXro3LVisEaEmnb9YYV+5Yg/Jtq+CoLYeroQb9j70csRl9utyWkIYzQjKdhAVlJgShhxebjAQz8Zm5GH7CLGFyPfSYc33+OzJNW/XVmxh81Jk+B/thQpggiHQaSpB2rKooD5X5OxrLTuE+oTeZxW/62JueRFRCMmrLioTWM6X3ICRm90FSTj8h0JAlSJ/xR3f4c0mDTKW5HW4X6sqL4XE64K4qhssYJfxIPeQ76nYJU1jyI6X2ivcetxDWHKSFpP3iONVz7d26qJ5LCPEkpE668gEhUHf5mrldqCnOQ01RHqoKd6OWXhfnCc371BueFAJwKEPCc5OQ3FVIG96eRlxX64bkg2/0waB7Yc3s063XxhQZK0pLkvodKgoFOiv4ax52/fE58pZ+i6T+Y5DcbwybYAfps4CDeWkTFpSZkEMic5EgGBSZA9N34nHYtPBrVORtQVLPAT5drl1/LYLBaELGgJGA7OBLHOYoblegm6BZyCy1trwEMYmU2qfjwY4oqBYJwSQQV+R7t/UVpYhNyUR8Zk8hGFOgLTKFJv/jlsRn5IiiFiTANgnOdqMOhmT/fRZ996UfPINVn72CwTPObhSmmwRwF6zpOTCYzD6dq76iBL+/+gD0JhNi07KFn23PsdMQk9pDaJF9cTVhfEB2h+RlInPu3ElnoOfE01FXvBNlm5dh3edPQJHdkHSGVgJ305SItPlpQ6fAWV8FW2WR0MDTljTTif0ORcbIoxCdnI1QQ1IObqkQaGRFabYm0Ep7GBaUGYbpRhz1Nfhn3seoF3533gA0/abMRN/x0/eZFJZuWy9W8BOz9/Xr2l/E1rXfv48JF93KaYEYpgUUNbpiz05U5G1DxZ4dKN+zHTUlhbDExoljmQNHosfQMcgcNArmqNZCbVv+WfAdVn33PxFkqUkgzho8GkOPPl0IyaFuyUFCx+jTr8Tvbz6KX5+/o9Fcm8x8jeIYjW29xh6F3hOO2W8kbhqryndtxMqPX8SAaaej12FHefd7tGEizQQX1O9i0nJF6TnxDLjqq/dGJ28UdppkHgokVrRukQhcZolPR3zucFjiyCzdgpINf+Cfr5+DOTYB8TlDEBGbDLOVIqonwRhp5ejcTFjCGmWGYbolD+qOJXMh6Q3Y+scPOOy8G0VkVuGL99Ub2LP6d/SdeDwK/1kBe101HLXVqCsrwugzrvRZq7Lljx+Q3GcIEnr0hmyvV/07MdqG/Akdtgb4ptvzfyTngs1rhLlu9rAxrfow9XlyEVBDoGzyB67Ysx3leTuaBWNHfS0SsnKRkNULqX2HYNDUE2FNyxJCnq2mCnvWr8Su1X9i8YcvISGzJ3oMG4MeQw5FfWUZfnr2Lgw9+lSMPvlC5K1djrXzPsMxN/6fSNcUrpDGeOLsu/erJd6y6Bv88MhVGHXq5egxfDyqCnehMm+rKBV5W0Vgrrj0nhhx0qXIGDKm29vPhC7CXDt63wUapVFTmTZkkijtkTlqOjJGHIWKHX+jrniH2DpqykWwMbe9HubYRK/wHEsRupMQk94H1kzfFrKZg8Om19qEBWWGYfxGfXkxtvz+nZgQkp94r3EzkDV8PNZ8/aYIsEO+aDHJGYhOShcmisSkK+7DrmU/48+3HxfvDzv3esSm9RDaGIqC6ytUv3DDCiEsMOG5GFOyfSMKN68VQmpl/i6kZ2ahz9RTRHoc8o2NSUhGdGKKSCXWMu0MCa51FSWoJi1rjFXUIXNhEnjz/1klzkc+tBQcivxTjREWkcNbvG7cUlCe0p2bsXvtMhRuWoPEHr2E7+vyr95BTFIq7DVVsNVSqRGfmZjVExkDRiDSmoC89StEG6MTU4UAKkpy4zYpDSbLvv6VFM2Y8g2X521HBZVGTTEJcSQQJ2blovfYI3DoaZcgOiFlv9og0ir3HXekKGQ6XLxlvRCI5714v8hl3BStevvyRVj26auYNueesBaSD0ZUQoqIMu1x2rHyk5ew6vNXRJqm+B59kJQ7EH0nnYDY1CwRnIlhtAYt6lFEbSotIdcCCh5mrykT0bhJeN467w1EpeSg16Sz2xXONUUQzAsUjyKKVtBSWwKJpITYrLKmpgZWqxWHnfYaDMauB29QG4oA6vdz6lUK76eCv5Qa39+ir4esN8Gl+FmXpFfHX0xnDJ7z6g0Hntw5a4tRse5b2Io3QiGfIEUWvlKGyARkTr0ROkP790Rv1MFtq8bO7+5H+uGzEZXmm09ySxRFxp5fnoG1z+FIyB4Ko+SCQ986CIo/MBj8f111Kvki6tQaC1RAp5OgyB44asugeNziNfUfuq8kyO7zXvGIffaKfNQWboKtfA8ik7IRnd4f0en9EJWUg9q/P0FpSRkiU3Lhqq+Es64czroKuBqqYbTEwhSdCNlDOU5pEScWpthkeOx1oh59BkVKjUzMQUzWYCFoelx2yC5H81Z202vvlt5HJGQitscwxGYOgt4c6dXwlu6A7LLDEBEDgyVGbAnaX1uwCa6GKsRmDUZEfIZom7O2rLk4akvFljDFJMEckwyd0QxbxR44qothik6AJaEHLIk9EJGQBUtCFgwR0X7Lhem214p2UrGV70Ji/8mIzR6uWtoQNaIzW1wlqNcn+/28ngNEPKY+5W6oFKF2jZEJwpLGp3P6EPG5M8h+iM7cbedVwfw8Vl+BKrv/BbkmLa3fUeH3pYbQQ77Q9YW/w1ayDCZrX0j6CEh6M3R6s9hKusZt077m9yZIUvcuFEVKRZj7wQ2orq5GbKz/5wX+kFuOuvFTGM3+CWznD1yOesx74jRNXrPuhDXKTMihKDoonAug+687RY61VcEYlQhnRHTjRFFIa4jucch+heQmDBYr+pz2RKc/n9J1pBxyOgp+ewWx6f1gMPPwpnXc9jrUl2xHA5XS7Wgo2w1jZJxI60KaDZpMCbNlSdf8nhbs6F437Y+wpiF91Ikipyn5iTajyEgedgyspsR9PpeEYJetGs7acqEpJiGVPrMlJAyTFkJvap2Gh/A14AoJ1/vLtRqV2keUlphjU9qt63E0wFFXBmdNqRDIEwdMQkQctbnrUZcPBAn1QvDvMQzBioLu19zq9CaYYvbNA8wEBjkAfSAcoEXwqPTJiEgYCmfdbigeBxQPRYxvgOKohCzeNxbZu23apzNEwmztB1Ncf5hiclsFH1MDWdF+YDxF9v3Z0l3tYVhQZhjGT+z46t+t3hujk2GMTYerpgjV2xYhfuB01a+1OT4LUVnDUbXxF6QNV//zmI5Tm/8PKrcuQX3pdnicNkQl5yIypRfSRh6PyOQc6I3qp8MhIdsUFS/K/uiOdvgKaacjzdmITAy9aLQMwwQ3enMCLOaEDv2Nx1EJR9UmNBT/iZodn8EU0wtmEpqtfeFuKILORNY3/rcE0TLso6xNWOXCMAGATEY9zhp47NVQXDVw2yvhsdeIaM2keRWmSrQ1RMAYRQJnpuYjTvY65WmxddaWoC5vBWylW2Av3QxzfE/EDfBGde0OEocci8L5/4Gj5whI8QeO4Mt0LzV565D3x7tIHzUTqSOOhSl2r+8smV4zDMMwoY/eHI/I1MNEkd02OGu2CMG5Nu9HKB6bqGPtfRbMcR13w2IYf8KCMsOojK14DZzVu+GxV8HtqBZbxWWDzhwDvTkOhsg46CPiYIhKEvUV4e9og8fmNV2q3TZfbCPThsGSNgwma4+DCs1qhh4gvyRb8SbRfmNUAnSmqFbtcVblwV66Fe66UuGjJ7vtsJVsgcdWjZieh0FvVld41ZsikTDwaJSv/xGJE67S/AJDqCB7XML311VfJfxu3Q3ebdN7KmQ2nHv0NcKXuHvgex/uaMeQkQkY3Ak0jc5gQUTCMFFsZX+hdtfX0Bmi4XFUhNWzwBuLQzv2zlpqSyBhQZkJQbT1VKzdMR/mxP6wpI0QArHebG0ULnU+B91y1ZXAVrQWles+hcdZ5z2H0dKiREJniBCvnbWFsBWuEb6cpth0mGIzYIzNgMmaIcyhu+oLVL1lAWrzVojPczdUiEBGBku8CNhFgjNtY3tPEludMQKyqwGu2hI0FK2Ha10pkg85G2oTlTEEtZvnwVGVj4j4LNU/L5ygRZjqnX8JE+omAZiK4nbBEGkVPsbGqLjGbYIwqxavRbF2a7RfCfygD3ckjT0PmO5HkrgPBAMeZzXq8n9GXL+LYIwmhYA//Yq13wc46rU2YUGZ0SRuW7lYZSQBsKPoJBmKhgZFEo5JODDGZAqBsjMYo1Ng7HMkYvscKUy0SVgmrTOZLNFWcTWIrcteDUNkIlIPvx56owHOmgK4agphL92Emm0L4K4vhyEqsYUAnS4EaL3ZG4m3PaGIzKerN/0kzMUtyX1QvXWBOOYVgu0ioFLSiFPFcRKc3fUVqK/a433dQpDWm6NQX7AW8QNnwBDZuevgC9TmyjVfIjq1L8xxmap9TjhSV7QFhcs+Ey4CCf0PFz6+TUKwzmTRnPZeosjrTFij4z4Q9uh4wSwoaCheDEvSKJhivKkj/Yle4kVTpnOwoMxojoai5ajdNc+b905nhDEqDcbodBii0mGMSofeFOv17yUzZmc1JPpH2lRKTWCwQI6QIRslKDqTJibuMblTUbr8BdTu+KV5X9Loq2CO69zDQB8RK8rBIE21JaI/LCn9W5lNu+pK4awmAboAtm2b4Kzx5kptq30mE/CqjT/A46hD3MBjoDfHwlm5Q5yP/I9JSJYMZqE5pr8jQXh/JrkUAVsIzrYqofVWk8oNc4XZb/r4c+DUwP0PBexVhShc8YVIo5Q++iRYc0Zq4rfFMAzDBBeOavJH3tgqGjYVmtclDp6DcIXSjamWcqwTaKktgYQFZUZT1BcuRX3+70gcfqXw35WdNXDVF8JdXwR72VrU7pwL2VUHnSlWmB+T0EzIHjsUt134w8pRBtgbatHQUAtJZ/SaJBu8QvTe17S1iPrO6p1wN5QJc2g6HwmEVLyf4S2GyCToLdZOfSeTNRvxQ85G3e7f4arJ87bX1YBAQGbXXoE4HcAhzfs99tp9tM+K7IK17zREZY1qNoGKTM5FXL+pHfpMnd4IU0yKKGpTu/sv1Oxcitwj56iebiIUsFcWoHzz7968vTVlcNaVwWCJ9aYuSuktcvNWbP4DNXlrkTriGPScenm3mk4zDMMwwY3HWQVb2arm97bSFYjOOAKSIbJVzmWdMUqkjQprQVmFfNedhQVlLzyTZPyC7KqHq6EI7oYSKG6bELJIe9lyi+b3Tfvc9Iet3hssiUgceokQkgkhDJutQILvkQ8j9XXw6M1wyiaR00/xNArQbhKmbS1e22GIiENk6kwYolKF8EpaatlR26ixroGrrtArrNcVwZzUHzE5U2CM3jc/puxxiu9HAnh7fjWRaSPE+WttFeJakbCvJfQRMfton4MNe/lOlK76HFlHXA29ibTbzkA3SfPYq4tRvWs1ssadDVNsMkxRiXA1VKK+eJsoZRsXwZo9FANOu09T6ZIYhmF8RzvCRzhBQUhdtTvgtpejoXAhDJGZIoq1NfcUmGJ7d3NruA8wnYMFZaZDkFDrbigVee5cDcVC0+tuKPZ2pshUUURgKWO0V6OnMwqtLr32Fu97NL7WGfYeh2Twizmn0hjdkM5FpsEwmL3C9kHQ6U1CcG4P8rOtL1qOslWvwRTbAzE9j4CkN8Betgn28k1w1RaI70ACOK2Qeq9BlHdr8r6mOk3YStYhKuPQLn9XZi/Fy/4nImrXF/4DfVIPGOKSAFZ+HpDYrCHY8+f7MMelwxzjjbpujk0RJaHvuKDvXk1jARO+KOwiEPbwONC90PzQVrYC9or13qBcOhPM8YNhsKQiKn1iQPpjMPSBYDe9fuSRR/D5559j48aNsFgsGD9+PB577DH079+/3Vgyxx57LH788Ud88cUXOOmkk5qP7d69G1deeSV+/fVXREdHY9asWeLcBkNgRFYWlMNEuBX+vPYKuB2Ur7dCJHsnDW5bIbZJgG3eJxkhuxuEpthlK4bsqIbekgxjFAnFaTDH9RPCsd7UuZQ/kgq5UxVF5/dBkXIax+RMQnSP8WgoWInK9R+KIFYRif2F0GyOy4WkN4ofvzABF8G1Ghq1x96tpOshNOZ6SwKisyf4tX0MkDnlKthKt8FetgOlhWtQZq+Cy2RFRGIuLMm5sCTmCrPicMZZV4Hagn9gK88TxV6ZLyJRu221zYJyKKFIvFIS7ii8Whb2yNwHug1XXR4qN73e/N5Zvbn5taNyvTCzjkwZ2+19Ulb8GUFbJTyyt2iFDrZl4cKFmDNnDg499FC43W7cfvvtOProo7FhwwZERbWOYfP000+3qxjzeDw47rjjkJaWhj///BOFhYW44IILYDQa8fDDDyMQsKAcoiiKB/bydagv+EMIxmTKrI+gyMNUEmCy5opVvr3m0I1bZa+ZNAl3QpjWRyAicTCio6dBH5Hg55D9wQUtHkRljRWl3eOkxW5M2QQkdnv7whmDxYqY7FGi6BUH9B4baqorYCvdgZody1C87CPojGZEJPaEJSlXFHNcRlj53JZvXIiSNT8hIqEHMseeDktSNptUMwzDMH7BWbcLxuieMEZlemPHCNc3m9gqHht0enWDeTKB48cff2z1/q233kJKSgpWrlyJSZMmNe9fvXo1nnjiCaxYsQLp6RQvZy9z584VgvXPP/+M1NRUjBgxAg888ABuueUW3HvvvTCZTOhuWFAOMUjItZWuRn3hH0Kojck5BqbYnv6JUKsLXwGZCT7IrD8yubcoBGn7XfXlQnC2l+9A9bbFcNWXISK+ByIaBWcq+4veHYy4bDVwVBXCVlkgAneRBplcBjyOeugjolhIZhiGYfyGx16GiKQRsCSO4KsaIqbXNTU1rfabzWZRDkZ1dbXYJiQkNO9raGjAOeecgxdeeEFojduyePFiDB06VAjJTUyfPl2YYq9fvx4jR45Ed8OCsoYQwa0o4EAnfHVp5c5WsgINxUtgjOmBuL5nwhidoVpbGSbYoN+UKTpJFGuu1z9cdjlgK98pAoFVbf0NRUveE4JyRFJPGCPjhWUA+ZjrTV4rAUtST1JdQ2t4nA0ihRMJw46qAtgbC1l/RMRnICIuA5FJOcLvOCKOUqxp7zuog/b90hh10c60kwkY3Am6Dbe9DJakvRk1tIP2nwUU8VpTUa8b29KjR49W+++55x6h3T0Qsizjuuuuw4QJEzBkyJDm/ddff73wXZ45c2a7f1dUVNRKSCaa3tOxQMCCskag6Mxl617wRoxWGn2HRch8U2P4fJMIny+2jfvpNR3zuOpgL/0Lpri+iO8/C8Zo9dPwaBvtDDRMAKE83AeBTLGj0vqL4v0TBa7aEtjKdsJtp8jn9SJlkuykiOh1cFQXIqHfRCQMmAyDuXN++f7AUVOCym1LYCvfBUdloQg2R2bkJASTYBybM1IIx6aoGIQzEjTk78UEBImfB2GPJPGcoLswRmWheseniEqfhIjEEZDaiRPhrN2B2l3fNM9jvdu989rmuW7jfl3T/vbq+ByHgvtAZ8nLy0Ns7N74Lr5ok8lXed26dfj999+b93399deYP38+Vq3amyosGAhZQdlevgamqDQYLMnQGbRrSqnIHngc5Ee5AqaYHFh7nQJFkb3+wpTaSCRjdza/pjREe5O0O0WQLvKbTRh0WXNKpXBHJ8lQeFAMayRFgSTJndM6x6aK0h4kNFdt+hVbv3oAMVlDRXAwyhMtGUyNW6OInk6l6XXzPgM94I2NW7Ia0XV4rKjZ/TcqNv8mtMfxfQ5D0sAjhWBM/tl+ca8IMSTFE+gmMAFGx30g7NHxglm3EdNjBiISh6M+/xc0FP2JqIwjYI4fJI6Rj7IIDmsvAyQ9YnNPgSI3zmk9TshNr8XWCdlV2zj3bb2/af5L9WlBfK9QbYKujZDdtN8YF7iF7WA3vY6NjW0lKB+Mq6++Gt9++y0WLVqErKys5v0kJG/btg1xca1llVNPPRUTJ07EggULhDn2smXLWh0vLvZm1mnPVLs7CFlB2VWfD1fNJrhtJeI9CcyGiGQRyEpEd5b03okqbSmYj3jfZiv26/bdT1sRAEjn8+SUghmQ7wYNEC23NBB4A20lIyZ7uqhL7aIfOKggvDVCDKMlyGw7Y+yZSBl2LGryVkN22SF7XJDtdXDRA9ztEotZtE9xt97KbnrIe49TPaKl8NzqdSsB2yjq1uStFUJxQv9JiO0xLKyCkDEMwzDBgTEyHXF9z4Ozdhfq839G7a6vhQJIZ7BAZ4iEZIiEKbYPDJauWz96FUutBej23jPqoygKrrnmGpHuiYTe3NzcVsdvvfVWXHrppa32kT/yU089hRNOOEG8HzduHB566CGUlJSIQGDEvHnzhKA+aJB3waW7CVlBOSb7GBiMkeK17K6H21YqhGbZWSUiQkP2iK143VjEe3nvayjyPvv3HqOtV2PVLHC3ErCb3usgO2tEXUNEEvQRSWJrSRrlfW2J74DpCMMwWsBgiREm2F1BkeVGC5HGKPNtheuWArbsQdLgo2GOTfbbd2AYhmEYtSArSWP/i4WgKjS7Klg9eRVLEQCVA7VFCox/a4eQZW/RCh1sy5w5c/DBBx/gq6++QkxMTLNPsdVqFXmVSSPcnlY4Ozu7WaimdFIkEJ9//vl4/PHHxTnuvPNOcW5fTL7VIGQF5ZaQ6bUphkpPVVZQQGY9jYJ3a0HaK5DrjDFiBa29QYLNJRkmPJF0Ouh1EYAxAjqOKM8wDKMS2jFnDTdEykxhHRlolOAwvdZSMK8OmoG/9NJLYjtlypRW+998801ceOGFPp1Dr9cLs22Kck3aZcq/PGvWLNx///0IFGEhKKuJV9DV090Ngph64YHCd4IR8C8y3OGxgFHYdz/s4XGA4T7QDc9bRfHL3+Tk5OD777+HVmBBmQk5FEXHg2KYQ5NjpYPBspjQQ2G3lrBHoYVsJqyRuQ+EPbKi/fmAVoN5hTshKyg37KiCXu9AOCLp1NGkSUb/Tzgkvf/bqkQ44JGMcLn93L1VMo/VGYPnvGr0ATXaatC5YDR4YCf/Xz8jGYLjd6DmWKAKen/3VwVRujrUyyr0WY+G/MgCMNlRyzxQcfs/SrlHX4tap/9/B7LL/31AcakTpV2Ntqp2XhV8NA1R9aivcgfP70CFfhD2Qk9kHYIij7JOO8KplszAA4n2l1gYhmEYhmEYhmEYphsJWY0ywzAMwzBhjhJEVhUMw6iE9scBNr3WJiwoMwwTko9EKQiiXDLqwn2AkSQeB8IdjufGBMU4QKbOOg259bDptYBNr5mQQ6dTgmNQZFSE+wBDDzgNTTqYgKCT1PH7ZYIHnZaEDyYg6DXk+8sEF6xRZhiGYRiGYRiGCRBseq1NWFBmGIZhGIZhGIYJEBz1Wpuw6TXDMAzDMAwTkmg/jBOjOuyOx3QS1igzoQe7ojAMI+ApcrijcB8Ie1RIJc4EGUoQRL9n02ttwoIyE3LIigSFw1wi3CfHssIGM+GOh42mwh4eBxhZ5mdBuOPxSEGxokPm15qBV5gEPHowDMMwDMMwDMMwTAtYo8wwDMMwDMMwDBMoZNlbtIKW2hJAWFBmGIZhGCY0CQLfRIZh1EYKjqjXGgo6pikz8ADCptcMw4TkI1HiqG5hD/cBRtLQxJMJDByyhOFxgOksrFFmQg6dToHMQlKYo/CDkYEObDoW7ugkT6CbwAQYnY7HgXBHr9P+ghlHvQ4xjXJtbS2uu+465OTkwGKxYPz48Vi+fHnzcUVRcPfddyM9PV0cnzZtGrZs2dLqHIsXL8aIESPQs2dPvP76662OLVy4EFOnTkVCQgIiIyPRt29fzJo1C06ns7NNZhiGYRiGYRiG0Z7ptcYK0wVB+dJLL8W8efPw7rvvYu3atTj66KOFMJyfny+OP/7443j22Wfx8ssvY+nSpYiKisL06dNht9ubz3HJJZfgrrvuwgcffIBHHnkEeXl5Yv+GDRswY8YMjB49GosWLRLnf+6552AymeDx8OowwzAMwzAMwzAMozHTa5vNhs8++wxfffUVJk2aJPbde++9+Oabb/DSSy/hgQcewNNPP40777wTM2fOFMffeecdpKam4ssvv8RZZ50l9tXX12PUqFFISUlBfHy80FITc+fORVpamhC2m+jdu7cQnhmGYRiGYRgmNMI4MaoTDLEKOOp16GiU3W630OxGRES02k8m1r///jt27NiBoqIioWFuwmq1YuzYscLcugkyzR44cKA4dthhh2HQoEFiPwnJhYWFQpvMMB2GxsMgGBMZhlEbniKHOwr3gbBH5vlA2KMEQfT7QJtZs+m1HwXlmJgYjBs3TmiOCwoKhND83nvvCSGYBFwSkgnSILeE3jcdazK9Li8vR2lpqTCtbuL000/H2WefjcmTJwsf55NPPhnPP/88ampqOtNcJsyQFYp1q/1BkVEPuv+ywkH9wx0PJ3YIe3gcYGSZnwXhjsfDc0Kmm6Nek2/yxRdfjMzMTOj1emFCTcLtypUrO3Qe8l2m0hI635tvvokHH3wQ8+fPFz7ODz/8MB577DEsW7ZMCM/7g4KIEbLHFrapQSRZnQFBkvT+P6kKq3xutwMeGOHx+Dmou06dh62s0mRep8J5pWBpq+SGJHvg9vg/2qkk+/93IOlV+s3qgmhyoPd331Lg0jXALauQ3EGFfqVmJFW/n1OlIC+K2/8xSFx6G9wu//9mZZf/+4CiwjnVaiuhuGV1zE/9jNtlg8etQp8Not9B09w4XPG47Zq/Dm63TVPt83j2xpQKZySli3eF/IxJ00vC65lnnom6ujqhHSaf4lWrVomo1k2QhpjeP/PMMx3+nMrKSvTr1w9XXXUV7rvvvv3W27NnD3r06NHp78MwDMMwDMMwTGhBQYOzsrKgJSjIcW5ubiuLW62QlpYm3GnbutqGE11eam/SCJMg+9NPP4kAXHTD6eL+8ssvzYIyCdOkGb7yyis79TkU7IuEcRLMD0RGRob4IZB5uMRZ5hmGYRiGYRgmbCGdIAUMJhlBa5AQSsKoFtPfmkymsBaSuyQok1BMHa9///7YunUrbrrpJgwYMAAXXXSREFApxzKZTlP+YxKcKQ0UddCTTjrpoOd+5ZVXsHr1auGbTJppWm2hqNnr169v5cvcHjqdTnOrRQzDMAzDMAzDBAYKHKxVSBgNd4E05ATl6upq3HbbbcLUOSEhAaeeeioeeughGI1Gcfzmm28W2t/LLrsMVVVVOPzww/Hjjz/61BHGjBkjomdfccUVIlhYdHQ0Bg8eLFJLkfk2wzAMwzAMwzAMw2jWR5lhGIZhGIZhGIZhQgmOmc8wDMMwDMMwDMMwLWBBmWEYhmEYhmEYhmFawIIywzAMwzAMwzAMw7SABWWGYRiGYRiGYRiGaQELygzDMAzDMAzDMAwTDIIy5UtOTU2FXq8XeZkpFVVLioqKMGzYsObjZrMZ55xzTqs6lJZq6NChIrcy1cnMzMS6deta1bnjjjtEQm0qd999d7d8N2YvixYtwgknnCBybNM9ohRgTbhcLtxyyy3iHkZFRYk6F1xwgUgZ1pKKigqce+65iI2NRVxcHC655BLU1dW1qvPqq68iJycHI0eOxNKlS8U+qkPpzD788MNWdc866yzRlp07d7ba37NnT5EPnFGf/Px8nHfeeUhMTITFYhF9YMWKFc3HKVg//V7T09PF8WnTpmHLli2tzrF48WKMGDFC3LfXX3+9ef9hhx0mUs+15OWXXxb3/K233mq1/8ILL8TEiRNV+56Mf3nhhRfE/aY0hGPHjsWyZcuaj23atAkTJkxAVlYWHnzwQb70QYaaYwJBv//2StvnAxMe8wNiwYIF++0XNAdluheWC5iAoGiU++67T5kwYYJy8803U/oq5dZbb211fMCAAYrBYFCeeuop5bffflPOPfdcUe/2229vrjNo0CBFr9cr//nPf5R3331XiY6OVmJiYpqPV1dXi+OPPfaY8sgjj4jXtbW13fo9w53vv/9eueOOO5TPP/9c3L8vvvii+VhVVZUybdo05aOPPlI2btyoLF68WBkzZoxyyCGHtDrHjBkzlOHDhytLliwRfaFPnz7K2Wef3Xx8165dYt+ff/6pfPLJJ8rAgQObjx122GHK5Zdf3up8qampSo8ePZQ333yzed/27dtF++bPn6/SlWCaqKioUHJycpQLL7xQWbp0qbj2P/30k7J169bmOo8++qhitVqVL7/8Uvn777+VE088UcnNzVVsNltzHbrPn376qfLHH38ovXv3Vnbv3i3201jSv3//Vhf8jDPOEPd81qxZrfZTO+6++26+OUHAhx9+qJhMJuWNN95Q1q9fr8yePVuJi4tTiouLxXEaS1588UVlxYoVyujRo0W/YIIDtccEgsZ3GvMLCwtblZZ/z4TX/ODXX38Vn7tp06Z9+oXH4+mmq8A0wXIBEwg0Kyi3pD1B2Ww2K1OnTm21z2KxCOG6afCjv7vhhhuaj3/33Xdi36uvvire5+XlCeGYBlkqJHjn5+d3y3di9qXtg7A9li1bJurR/SU2bNgg3i9fvry5zg8//KBIktR8L9euXSsmxnV1dWKC1bNnz+a6t912Wyuhic5Hk62HH364ldBEk2/qczxpUp9bbrlFOfzww/d7XJZlJS0tTfm///u/VpMmuj//+9//mvdlZ2eL+033ne4/CU8ETbCpz9Bkp+XiyAsvvCAm420XR2iyxGgfmiTPmTOn+T1NZDMyMsQiKEETaBKynE6nEKLoecAEB2qPCb4+f5jwmh80CcqVlZWqfS+mc7BcwHQXmjW9Phi5ublYsmSJML2SZRlPPvkkbDYbzjzzTHH8k08+Edtrr722+W+OPfZYYar97bffivdkgkdmlQMGDBDlqKOOEuY7jHaprq4WZk9kQtVkSkevR48e3VyHTO7I3L7JhGrIkCHCTN9qtWLw4MGtzC6POOIIYZJZWFgo3v/66684/PDDMXXqVGF21QTtHzdunDDpZNTl66+/Fvfz9NNPR0pKijCHI9O4Jnbs2CHM3ug+N0H3lkxtqT80QWaYAwcOFMfI3HrQoEFiP5nfksk93VNiw4YNYuwgk7zy8nJx/qZ7Tveb7jujbZxOJ1auXNmqT9AYQO+b+sT9998v3kdGRopj06dPD2CLGS2NCUxo4O/5ARNcsFzAqIEBQQoNcvSwPPTQQ5v3zZ49G9dcc414vX37drElv5OW0MS3SShqmgzv3r0bBoOBhWSNY7fbhU/S2WefLfyNCJoc0cSpJXQvExISWvkQkT/a448/LibJ5L/WBAlN5J9OQjGdl7aTJ0/GIYccgrKyMjEBo8F34cKFQpBi1Id+uy+99BJuuOEG3H777Vi+fLlY8KL7NGvWrOb7SjEMWkLvW95zul/kb05CVHx8fPN+8mcbM2ZMq3tOiyMU52D8+PHiPd1z2pKQTPsZbUO/VY/H026f2LhxY/NCaWlpKWpqapCcnBygljJaHBOaoPGAFtNbQgtp2dnZfOPCcH7QBClVWkLzyvXr16v2XZjOwXIBowZBKyhT4K68vDzceeedGD58OD766COxwtynTx/cfPPNHToXPwS1DwXuOOOMM0TAFpowdQYKAtMWejDSYkuT0EQC8U033SQepk1CE30mLaaQ9plRH7IQIQ3Aww8/LN7TghgF4aOAWzQp7ggkFFNpy5QpU5qtTuge03uCFkno/UUXXSS2tPjGhA606MFCcvDRHWMC8dRTT7XSShNsZRa+84MmfvvtN8TExDS/J4skRnuwXMCoQVCaXlMUw++++06sLD/wwAM47bTTxKS3X79+YlWQ6NWrl9ju2rVrn1VHiorJBN9DkO7lvHnzmleLibS0NJSUlLSq73a7RR+hY75AAjBZFtAKMZngjho1qlloov1USKAmMz5Gfej32dYkkswlabGCaLqvxcXFrerQ+47c882bN4tIuk1WBC0F5W3btomFODLBZ7RPUlKS0AR2pU8w4T0mNJ2HFttbFlo0ZcJ3fkCQhVHLPtHWUpEJPCwXMGoRlIJyQ0OD2JKfSUvovdfHH8KXiXj++eebj//www/CPO/444/v1vYyXX8IUpqPn3/+eZ9VXzKNpTRg5J/YxPz584UGwlfBloQmOv8HH3wgTHCbTO8mTZokNMwkODWZaDPqQ9ea/MZbQkJt0+SEJi00yfnll1+aj5M5LZld+epPTNYCdD9ffPFFsXhGpvYEWReQee4bb7zRbKLNaB+6l3QPW/YJGgPoPfuYBz/dMSYwwUd3zA+Y4IDlAkY1FI1CEWkp3QcVaubMmTPFawrhT1BkYopoSemhFi5cqFxyySWi3llnnbVPeqgnnniiOT0UFUY7UDquVatWiUL378knnxSvKWplU3TarKwsZfXq1a1SMzgcjlbpH0aOHCki2v7+++9K3759W6V/OBgUyZr6EqUOoxQjTdjtdiUiIkLspyjYTPdAkUspAv1DDz2kbNmyRXn//feVyMhI5b333muuQ/eJUv989dVXypo1a8T40DYVzMGYNGmSuLfUf1pyxBFHiP1HH320X78Xoy70fKDf8VtvvSWi3V522WWijxQVFfGlD3K6Y0zYX3ooiobMhOf84EDpoejzme6F5QImEGhWUCYBmAaotoVyHxKUJ5Fy3+l0OrGf8mfSoNkytx2F9B8yZIhIBUB10tPTxd8x2qHpQdS2UGqmHTt2tHusbcqe8vJy8eCjRZDY2Fjloosu6nA+7MmTJ4vzUq7FlkyZMkXspxyNTPfxzTffiN8uCT6UM/2///3vPulg7rrrLpHWieoceeSRYjLTEe655x5xb1sujhD33nuv2N+UVogJHp577jmRAoieB5Ququ3vmQle1B4T9ves4XEgfOcH+/t8nhMEBpYLmEAg0X/q6asZhmEYhmEYhmEYJrgISh9lhmEYhmEYhmEYhlELFpQZhmEYhmEYhmEYpgUsKDMMwzAMwzAMwzBMC1hQZhiGYRiGYRiGYZgWsKDMMAzDMAzDMAzDMC1gQZlhGIZhGIZhGIZhWsCCMsMwDMMwDMMwDMO0gAVlhmEYhmEYhmEYhmkBC8oMwzAMwzAMwzAM0wIWlBmGYRiGYRiGYRimBSwoMwzDMAzDMAzDMAz28v+qwhtwx7ejYwAAAABJRU5ErkJggg==",
-      "text/plain": [
-       "<Figure size 1100x540 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "fig, ax = plt.subplots(figsize=(11, 5.4))\n",
     "map_plot = Basemap(\n",
@@ -323,7 +312,19 @@
     "colorbar = map_plot.colorbar(mesh, location=\"right\", pad=\"5%\")\n",
     "colorbar.set_label(\"K\")\n",
     "ax.set_title(\"CMIP7 tas at 2 m, first month\")\n",
-    "plt.show()\n"
+    "figures_dir = Path(\"figures\")\n",
+    "figures_dir.mkdir(exist_ok=True)\n",
+    "figure_path = figures_dir / \"02_atmos_surface_air_temperature.png\"\n",
+    "fig.savefig(figure_path, dpi=120, bbox_inches=\"tight\")\n",
+    "plt.close(fig)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9319c9c5",
+   "metadata": {},
+   "source": [
+    "![CMIP7 tas at 2 m, first month](figures/02_atmos_surface_air_temperature.png)"
    ]
   }
  ],
diff --git a/notebooks/03_pressure_level_air_temperature.ipynb b/notebooks/03_pressure_level_air_temperature.ipynb
index 3ce68e1e..35e9acc5 100644
--- a/notebooks/03_pressure_level_air_temperature.ipynb
+++ b/notebooks/03_pressure_level_air_temperature.ipynb
@@ -16,10 +16,10 @@
    "id": "4c424c5c",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:37:11.166660Z",
-     "iopub.status.busy": "2026-05-29T22:37:11.166509Z",
-     "iopub.status.idle": "2026-05-29T22:37:11.666955Z",
-     "shell.execute_reply": "2026-05-29T22:37:11.666457Z"
+     "iopub.execute_input": "2026-05-29T22:41:58.190850Z",
+     "iopub.status.busy": "2026-05-29T22:41:58.190653Z",
+     "iopub.status.idle": "2026-05-29T22:41:58.683300Z",
+     "shell.execute_reply": "2026-05-29T22:41:58.682858Z"
     }
    },
    "outputs": [
@@ -58,10 +58,10 @@
    "id": "1324ba6e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:37:11.668394Z",
-     "iopub.status.busy": "2026-05-29T22:37:11.668213Z",
-     "iopub.status.idle": "2026-05-29T22:37:11.676831Z",
-     "shell.execute_reply": "2026-05-29T22:37:11.676409Z"
+     "iopub.execute_input": "2026-05-29T22:41:58.684929Z",
+     "iopub.status.busy": "2026-05-29T22:41:58.684761Z",
+     "iopub.status.idle": "2026-05-29T22:41:58.692942Z",
+     "shell.execute_reply": "2026-05-29T22:41:58.692568Z"
     }
    },
    "outputs": [
@@ -158,10 +158,10 @@
    "id": "c59fb308",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:37:11.678179Z",
-     "iopub.status.busy": "2026-05-29T22:37:11.678093Z",
-     "iopub.status.idle": "2026-05-29T22:37:11.750231Z",
-     "shell.execute_reply": "2026-05-29T22:37:11.749832Z"
+     "iopub.execute_input": "2026-05-29T22:41:58.694088Z",
+     "iopub.status.busy": "2026-05-29T22:41:58.694017Z",
+     "iopub.status.idle": "2026-05-29T22:41:58.770234Z",
+     "shell.execute_reply": "2026-05-29T22:41:58.769814Z"
     }
    },
    "outputs": [
@@ -217,10 +217,10 @@
    "id": "09d6a9fe",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:37:11.751310Z",
-     "iopub.status.busy": "2026-05-29T22:37:11.751236Z",
-     "iopub.status.idle": "2026-05-29T22:37:11.859784Z",
-     "shell.execute_reply": "2026-05-29T22:37:11.859353Z"
+     "iopub.execute_input": "2026-05-29T22:41:58.771414Z",
+     "iopub.status.busy": "2026-05-29T22:41:58.771339Z",
+     "iopub.status.idle": "2026-05-29T22:41:58.883804Z",
+     "shell.execute_reply": "2026-05-29T22:41:58.883257Z"
     }
    },
    "outputs": [
@@ -247,7 +247,7 @@
       "    area_label:            air\n",
       "    branded_variable:      ta_tavg-p19-hxy-air\n",
       "    branding_suffix:       tavg-p19-hxy-air\n",
-      "    creation_date:         2026-05-29T22:37:11Z\n",
+      "    creation_date:         2026-05-29T22:41:58Z\n",
       "    data_specs_version:    MIP-DS7.1.0.0\n",
       "    description:           Simulation of the climate of the recent past with ...\n",
       "    drs_specs:             MIP-DRS7\n",
@@ -257,7 +257,7 @@
       "    forcing_index:         f3\n",
       "    frequency:             mon\n",
       "    grid_label:            g999\n",
-      "    history:               2026-05-29T22:37:11Z ; CMOR rewrote data to be con...\n",
+      "    history:               2026-05-29T22:41:58Z ; CMOR rewrote data to be con...\n",
       "    horizontal_label:      hxy\n",
       "    host_collection:       CMIP7\n",
       "    initialization_index:  i1\n",
@@ -276,7 +276,7 @@
       "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
       "    temporal_label:        tavg\n",
       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-      "    tracking_id:           hdl:21.14107/2cf8e1dc-fff8-4efd-8b20-7d844310fab5\n",
+      "    tracking_id:           hdl:21.14107/83903b95-15da-421b-8713-f572516d3e93\n",
       "    variable_id:           ta\n",
       "    variant_label:         r9i1p1f3\n",
       "    vertical_label:        p19\n",
@@ -299,24 +299,13 @@
    "id": "917090d2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:37:11.860962Z",
-     "iopub.status.busy": "2026-05-29T22:37:11.860883Z",
-     "iopub.status.idle": "2026-05-29T22:37:11.995989Z",
-     "shell.execute_reply": "2026-05-29T22:37:11.995596Z"
+     "iopub.execute_input": "2026-05-29T22:41:58.885268Z",
+     "iopub.status.busy": "2026-05-29T22:41:58.885173Z",
+     "iopub.status.idle": "2026-05-29T22:41:59.024073Z",
+     "shell.execute_reply": "2026-05-29T22:41:59.023581Z"
     }
    },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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XMC175cqVeOKJJ867TFoHElHPPPMM9+IlAXvXXXdxajTVPDfn/RuDTKRIsC1ZsoT7RZMYp6jib7/9xv2ea0MijWqiyXTqo48+YhE1ePBgLF68uME2InFKkWcS0FQjbDIeo3XraChDgdadBiUo5Zp6ApNwI+FZH/p+aHChIyDxSwMVFK2lKDINAtGgBW1fE3PnzuXtR/sifUcUGW9PoUy13qtXr+asDfquqEc57T/U07gxQ7LmQAKZ0u1p36V9htLghVAWCAQCQVthRT2i2mxpAoFAIBAI6kBRckobJ8dsai8lEAgEAoHA8hE1ygKBQCAQtCNkjEYpx0IkCwQCgUDQdRARZYFAIBAIBAKBQCAQCC4kokx1adQzkmqeqH8jGcfs3bvX/DxlclP9Eblc0vNUl3TmzJk6yyDDE6pVI3OT+u1MyLnUxsaG6+BqM3v27HMa8QgEAoFAIBAIBAKBQNApQpmcRdeuXctOn+SsSs6jJIZNbUjI5IXMWD7//HPugUntG8jYhIxOTJDj5bPPPsvGM6+//jpSU1MbiOXOMGYRCAQCgUAgEAgEAoGgRUKZXCX//PNPFsNjxoxhB09q60C35C5L0eQPPviAHSgvu+wydpr9/vvvkZGRgb///ruO+ye5svbr1w+urq4cpa4NtbAgF05q+yEQCAQCgUAgEAgEAoHFCmW9Xs99LSk1ujaUYr1t2zYkJiYiKyuLI8wmqEcitWugdGsTFC2mfpf0HPXOpBYitaEWG9QCpDmtTQQCgUAgEAgEAoFAIOi0PsqOjo7s3Pnyyy+z0PX29sbPP//MIpiiyiSSCXq8NvS36TlT6jX1a9RqtRxRbgxKyaaI9NatWzF69OgW9SilCDatK6VwCwQCgUAgEAgEgosTynil7FU/Pz/IZJbX8IfKU0kTWRrW1tYNgqMXGy0SygTVJt98883w9/eHXC7nFOqrr74a+/fvb9FyqHaZpqagKPOCBQs4qrx9+/ZmL5dEcmBgYIvWRSAQCAQCgUAgEHRfyBMpICAAliaSfW0dUAQDLA0fHx/OFr6YxXKLhXJ4eDg2b97MdcYlJSXsbn3VVVchLCyMNyiRnZ3Nj5ugv8nluqW8+OKLiIyMrFPffD4okkz06v8K5PKL84ttr0i6lbxrROgd7DXQGpXQ6ZRtulwrWRfbru0xatpe26CNl2ut0EGlMqBca4cuQTvtA+21z3YNjHBWlaJY44SLGWOVse0XamiHZbYTzqoiFJY5dY3t2h7L5OVWtctije2wH7THdnVzKkN+vi26Cu2yXY1d5zfbHjg5FGLb5lfNGsGSoEgyieSPrUJh23KP5XZDjSrcm5XI6yeEciswRYQLCwuxZs0aNvgKDQ1lsbx+/XqzMCYxTe7Xd911V4vfgyLDZOz11FNPsUBviUgkkSyXd50D40Ut6NoYhcIKVUZrVBmFUO4q+0Bb77MKhQIKpQEKYxc5Bsjb5+R4sQtlpbUeiqouMljSTrSLoJO1j/BqD5RKDRRK2y6xXdtDILWrULbqGkJZodRDrugi54IutF27EgqFmm8tuSSTRLKdlRwWw8W9y5hp8dUZieLVq1dzKJ7aRI0fPx49e/bETTfdxDsg9Vh+5ZVXsGzZMm4fRenTVBNAfZBbw5NPPsnp1OvWrWvV6wUCgUAgEFysiKs9geCipx0GH9ojCdDSJkErUq+Li4tZvKalpcHNzQ2XX345Xn31VSiVUvTuscce47Ts22+/HUVFRRg1ahQL69aG7ek9Hn/8cY4qCwTNwWi03BFDQcdh+adFQXsj9gGBOB8IxD4g6Ar7AItTC1pNGZ1ADZ29Fp2PlbGbFS5Qqje1neo78B2Ren2Rpl7b2Wiht1JCp2/xOFD3Smm/iFOvlXIdrFVGqHVdxKdApF63A0Y4WpejVOuAi5n2qVHuOqnXDooSlKjbfh8Qqdddp0bZ2aECRYUqdBW6ynbtStjbFWLbpmc42Ofk5GSRuuU7ZbhFpV5XGA24QRdvkdusI2lbJSEQCAQCgUAgEAgEgq4dURYIoSwQCAQCgUAgEAgEnQWJZIsSyp29AhaC2A4CgUAgEAgEAoGgm2JBClTQpRCp14Juh1UXcDcUdARiP7jYEccCgQV3gxF0EOI4IOgK+4BIvbZMhFAWdDtkMiO51HX2agg6+eJY1gVOjIL2RWbVdUynBO2DvAv1fBa0D2IfEMi7QMGtEMqWiUi9FggEAoFAIBAIBAKBoBYioiwQCAQCgUAgEAgEnYSIKFsmQigLBAJBO2A0VsGgyaUGlpApnWAlt4PVOQomDdpilKUth9GgpsbSUsKPlQxW9e7TcqX6ayO9SU0tdvV9+ifd5wdrbs3zGqG0D4K9/9TqZQsE3RnLT7kUCATtTBcoxaLTsSW5XneBTdYhCKEs6HYYjRZ0pOnCGI0GGA0VqDJU8K2xqhzGKjWqDOXS3/xc9f2qSslVslrUWVnJa90nkSevfl5eT/jR4zJY0VAqTK+xglFfBoO+CFXaQlg79YKd+zgYjVoYq/R8C7qFEQprT1gpHBoVoB19jKd101WkoixjBap0xU3OJ1M4Qq7ygMLGG3KVZ7WIlqM09R/YegyF0iEUQBULYmOVDrqyBGhL42FQZ7bZuurVWVDn7YFLxM2QW7vSSsHKSlH9/XSf3484zwvE+UAg9gGB2AcErUUIZUG3o6rKCsZudLHfHgK4SlcIgy4PVdo8fsxKbg+Z3J5vadKrE6HOXyM9J7OFXOUHGUVEFdXzWXtItwo76VZmI0UzOdpZBRgNHEk18n1pMkJ6rObxmnmsSBiiCuWZfzdYX23JUegrUmAlUwJWSr61kllzhLRCm8OfR67yhkLlA4WNL5QOkRw8NRobj5Ya+UkdqgyVMBo0sJIpJLHYCNrSM9CWJ0GudGZBa7ptLDqsV6ejJPnH827/Kn0pT7ryRB4kUNqH8ICDvd8UqJyj68xbnrkW6tyddUW2jad5G/A2qXW/wa3cuu5jciUL+oITH/DySpP/hpG2ha6sRlayWJabxbO93yTYuPZBV6SqigZiBBczhiqRNXGxI/YBgcFg1TX6KFvQ4Ur4IEoIoSwQdCOMRj2q9CXSVFVafb8YRn1J9fMGGDTpDV4nU3pArnSvjhCX8615mRRF1hdD5RQLa8eIc75/a09FVtX5RkrbYBZsVjIVYKVoPFJcpTeLTZoMmixoWEwnQW7jC5nCBZX6JFRqE1GhsZLEuEGDqipJGBurNNXC0QZWchtU6YrgEnYLv6+29CwLShLDkiC25YhupSYXSvtg6b11tG0rIVdI88iUzpKAtnaCU8h10FekoyJnY4P1ltv4wMY1llOrqwxq6CvSoHLpC1u3gWTL2uh2sfedzFNjEWFN8QnoSuOhv4BIs0FbwEKbI/61BjloP3HwnQClQwjkNh7nXQ4NPtA6GTR51cLcupZIr/U3ZxAIBAKBQCBoUKNsSUK5s1fAQhBCWSDogpDQImRyWxYpxSlvNzqfwiZYin4qnGDQZMDKSgkbtwksLg2aTFTpC6XlKJxh7z2nzmsp7be2cJYpGo+6GnTF0JXHQeXUX4r0tgJdRQpK05Y0+pzc2pNFc5WugEUur6/STRKpCkeerJ36QlO4F0Z9Ocqy/4ECpbC2toaujCKlNdh5joGtx3ApEltNRd4OFCV8yyLO2ilKiriXnJQEsa5Ein6TOK3MhXPoAihUHmaxTp+d0qyrtCXQlaeiSnec/yaB7drjTsgU9mgPis58ab5P369MYVeT1l6d6m5FpzlZ7VR3ObTFJxpdnpVcxVF1mdIR2uI4KB2CoHLrz9tEV5bMqd9GQyUPLNAghkyu4vu0TF15MrTFp/lvha0P7zfGKkqT18JokG6rdKWAUQ+ZtSvcou/rVundAoFAIBAIuidCKAsEXcUYSpsFnTqB06JNAtdK7gSFTSBsnMdApnSFTOGAsqya9F99ZXKDZRkKshs8VqUvQlnW7yymKYJM2HnOgrVDDKB0qV4HIwtHvSYL2tIj0JWfqbMMhcoPCtuAFn+20vRf+DM1hUGbW/OHlRxK+3DIlW7Qlp3i9VHah3KkmB539J/HsynlOlirjFBprTlyqy7YC23JSVTkbmERa+s+2LxIW7ehUNoFQWHr16i5VRVFoyl6rSvhKDKvRnW6dlMp2+2NR9/nWhSpJ4xVBuQdIaEsg63XCCjtfCG3doNM5crC16AtQUniL1A6hkHl1AOlyUtZBFMttbVTOGQqT3NU3qAtqo7O66Cw84dLjxshV7nWpLZXi2W9Jh+VeXugLdPC1n04bDwGC5EsEAgEgg7G8gdnRUTZMhFCWdDtsOpGVn2metqy7N9g0GaYH7dznwmlfTQM2hzoNanQV6bAULqHI8Mqx0GcSq0uWN3s96nS5fNUm4rcZTxRKjMJ6fNRmv4DXMIeaXZUmQQ3pUuT6FTYBnGkklLHKSps0BXwiU1OIt2K6molsSqzphRxF44IU8o0IbcewlFcMsiqi5GFLzk809QUVjI5lHZNC3wSkTShwfK7FvQ5Pfs/3+hzlDZdHP8jqvRlHFXWKx1h49YXjsGzIZPboCTlH2hzd7EwJhFcG03RMZRnrKn7Xhx5tuaBGxv3WDgGza4Txe8ousqxQFeRXl0D79iIc3oBFM1Ifxc0jkheEHSV44Dg4t4HKNPKkrKtLGldOhMhlAXdDpnMCCtze5yui16TXic6XBtdxWlYO/SSDKxUPoDT4OqoczaLZnqeU2QVrpCr/FnoUtTWxm0sp9BqimsMokxQdJowGqR6ZhP0Wiu5AxS2IZx2zKnclO5LtzJbvoVM1ayDalHC+9UO2fXeW2YDmdIFChs/KBx7cTSyIvc/jibLrckh2hdyVV9pZhLTxiq4hN3PKdkk5Bosj0wxusCJ0VIgMy9bz6GwdoqA3MarwXdZpSmAUV/RvIVZyeDe+zGLOMnKrKS0+c6G9ld9RSYUdn78d1naSr6VKR0kU7qc7VL6vNHI8yjsfDnDQVN4GJri07D1HIIqbTGLZmojRoMZClvv6smHJ369oAFy4UjTYihzhHwpTBOqtLB26MfnFzL5U1j7SD4SXQSxDwjkMnE9IGgd3VYo24W6QKG0/AuH2qmRlo6VvB3WtR2cC2zkZVDAGkqjyvI//zn2AU1hIcqyGj5u494T7n1vaGJp7gBipLtycoxOh6YwHlYyuui2gbWjAkrHKCgL5KjMPw19eS5sPKJg5zcQcpUz9BV5KE/bDW1x3ZRtW69IuPa+EjLF+c2YpNRbPaoMWmSsf8H8uLVzYKMi2XPw7bz8usuogirFAZrCpGrjLQW3p6rIPAyjXgs7v1g49PCArInfuBIaKGVawEoS/22J1MqqbZF1+nGgJhW9MRzDHkbx2U3IP9LQlZxwiRgPj36zYVEYq2BfZYRR7tb2izZWQZ17FvqKQujVxXxfnRNnft53xK3QFKWhSq+DS+Q4GA06JP/7NVSuwXCNngqjIQeaotRaS7SCytWPl6EtOc0T1Zc7Bg2Ga+/boC1MhcIhCkp7d8htnFGReQwlCdtRnnGEXy1TOSBk5ivoKKqq2uei01jV9gMbNgY9HNAO+0A7bAOjoZ22q87Q8LEqPSoLzsBQWQC9uhCGSmnSVxayN4HcxhUKmhxcUZa6HVr1EVg7+sOo06EiPx1ya0e49V4Aha27xW8DG6UR9q7tUCbTDvtre+4H7UF7/A7aA5WV5G9iyYjUa8uk2wplgaAzMGhKUHjqdxZwdCEhs6aeuU41960dYaWwbVa0TeUaBr8xL3GNLNWD5h1aZL6QyT3wJUeGq/RSzSjdSq7FEj4jn4bC3hkqlyCe6MJeYeuGsuSt0JakVTsSSz9/fUU+Co78CIWdB+z86cL8Cn68SkvC9CA0RUmoyDwA58iZkFXX6GoKk6Ery0bhsd+bvW2ce17CETOjXqqBVrlHQqawNotrQyVFLyqpKJgv4pQO3rxOJLo1hYkoSz0Ee79YOIWPh8KubS/OBOfHKXwMC70qbSlKU/ZDnXMaDgH94dxjLFTOvhfVJjSoS5C1azGqdGo4h4/i/bU2+cdXQWnnBqWjF1L+ewOOQQN5wMc5fAQKT6yCtjQHtt5R0BZn8YCSylkSybWh322VXoOKjKOQWdtDU5CMkrOboSnOgLWjN2w9w+HScxJs3EKhsHXu4C0g6OrQeaQ0aQN05Vl8jKXzko1HTziGTIC1czBnO5jOU06hk7i1nAk6n+Ts+ZB9D0zoyrJQfHYZHEMmQWHnCW1xEvsWWDu13LdCILgYEULZMhFCWSBoQ+iClgRoZd5JqU9wdW9ahb0kJMgdmZyAZdYOLJytHQPhFDYZMkXj0W+6OJFT71ujPVyi5rLILDj+U+PvrSR3a1so7TxRpSuH0ejINbqagnjkHfoODkGjoHQKgDr7KAt6qlm1UthAXyGZZVE0ueTMvzzVxnvEIyxaa5Oz6+NmbQ+PgTfB1qs6wl0LEhjawkRoilOgLUqFtjiFPyt/Blov6uFLQp7cm2UKKB084TP6YShshCDoDGggozL3LIpJqBWlwTl8JLwGXAm5ygGWTftEOxR2Lgie9gwKTqxGWdpBuPacAv8x9/Bz2tJs6MsLYCVXoCL7NBwDB8BQWcL13bryAgRMeJjFsVxpy/PrK4pQkX2KB5Eq8xOgcPBk8esQPAhGrRoGbTlPNKjk2msmVK6BkMlb5y4vEJig84TXoHuqywLyoCvL5Kk8Yy+KTi9Dla661ILrJiU3fW7vVn1r0JVBbuPCg0RlKZtRnkkeGTYopPOTlRWsnUOgK8+GTGELe//hsPXsbR6cFQg6nq4R+RZYHlZGzpPsPpSUlMDZ2RnD5n0tUq8v0tRrO3k59LCGzmjdKZ+fLoIr846j6FRNtFVh5wW5jRsUtlQz7Fwd0VVCU5TAac6u0fOgcglt1vLZfVpbirK0HXyBYsIhcBRULuG8TfMPf8uPOfWYirLUHXCJmoXK3JNQ556SDJmsZJDJlZxyXZa0GUpHX9gHDoeuJAPlabv4te6xN8PWs+c5twFFFEh0lyZuQVnytgbr6jfxBcit7WHQlKIi6ygLYm1RCqq0ZSzaKWpmTVFv1yDIVXWNjC4EBade61Bp1XbL7N6p141DF9FlKfs47ZrSgyl67ETRUXkXuOCl1GtjAcpl7WuEpS3JRt6Rv6GvKIBD4ECOtKtzz3DqNEV+tcU1JnwmQi99lQcZSlMPoOD4Kk7fpv1fYe8GpZ07lE7evK0bc2G3BLpS6rWDIQ+lXJLStnT11Otmv5YylagXvemWosh030rGKdtFp37j9nKOQeOhV+dzKjcN2JLvAZ0bNEXxHLG29eoH1+irOmUbOCsKUaSVuje0KSL1usukXttZZeG/nx5GcXExnJzaviSrLXTLmoAesJedv7ytoyivMmBq2lmL3GYdSRe42hEIWkYVZJ06dkjRHluv/tAWJUKmtIfSwZdvaeRdSp0uqKkHUxdwCnXewS/hGDweTmFTzrt8SoejdG6nsKk8Sl9ZcBr6ihxOXS7P3Mt9gFWuPaBX58GgLoRzj+koTdrC4pTey9YzBir3CL7gqcyLg7VLCKfcyVUuqNSeNr+PpuAspzgrbFzqpN2ZKIr7l6PTJKD05Tk1n1/lxALbJeYyc+RLywJ8L3SlmTxIYOsVzSl5Sic/WDuRUVfj/Yb54qzK0Oj7n2crwUi9gwUXRFnyXuQe+Jkj+/QdlSbv5rR7+s4cAvpBYWPZJ88qKtRvZ6ydvOE36g6UZ52EOvuUJJL5zQ2NimSf4TezSC48vQHF8dvgM+wmTr0W+2vX3Qe6M+Zocr3HKQqdd+ATvk+DwGWpW6rLixx4EFhh68mP2/kOhdLRjx/vzGsCwcVNldHy9wGRem2ZCKEs6JZwbV/eMU51rqnjreC6WzIpIeFKab62XgPa5QROYpZSpZsDiVeqE1PYuLX4PUhsNlUDZqWULhBJEJelbGVhTqhzjrGRl9yWolceUOfHQVuUZH4dCWeXnrNQnrYH2Tve5egBpWhTjbPclpypXVjAaouSObXaikWpNDRh1Gs4Ok3p07Wx9YziidZFV57DkWsSz+rcE3zfSqFiUd8UXsPvho1bWIu2j+DCoe/F1qsnf1eUPkxTZV48P0eRZqlGeUyD7/tixN4nmicb91Bk7ZIyOmojt3GCc/ho2Pv2Rt7hpajIPYOAcQ+Y64u7SmRGICDIP8Jn1PPV7QCruEZZV5ICbUkKKgvieGCYMqnK07axz4bC1oNrl+28B8DGPUpsRIFA0CUQQlnQrdCVZUBXfABluadgZR/E/UepRkqnKYSNWzQblGhLU1GWtglya2fYuPei5LxmL9+gKeb0MpVL24k2mdKW064ppZomk4FKRdYBVOQc4XowFiJ0SzViMjmLe8eQiedNzaTUN4oaq1zDIbN2giY/jiO+XkPuZideigoonah9lAa2Xr0kEQwjR37tfGOhKTjDz1E0WleawZMJdt/NOAjniPNHwU3Q57B29EXOrk9hJOMuE6Z6uCZoy7RsQfOgdGBrZz+495nF+wA5PNP+RGJZX1kMg7qYTauoZtbWs4fYrNXY+/eD//gHUZZ6AGVph3h7Kezd4Rl7BWzdQ5G9dwkMmjIEjL0fMmXD1mYCy4BLXDSlbFqoK83mW4egobB2FuZUJqi/vEFXjty9H3KWk9IpCCq3KDiGTOYB6cwtT5vn1Zdn8USZViq3CK5ndgieALlSyiaiQdQqMqjUqHnw2OTtYanlBwJBWyMiypaJEMqCLg+ZY6nzjqIiazebXXkED4VH39tgkNmjIms/ytK3cI/RsrQtULlGQp1zAHa+w1goliSu4pphlUsErJ3DmjTVoprj8qxd0Jdnc+owjYrTSb6lvWKpVROtk8LeG/pySkOm/sHUi1jFKdQGbSk8Y2/jdSIzFHXeSVTmHoeNZy9YO3izwQoZdZFbaVnaThbAkuCl1GspIusYPIF7XZYm/tfg/Sk1jrZX7t4vYOvdByrXUF5mRcYByeRLnV9nfueoWbD3GyhFfEkkVeRIkYOybKhzTrCZS2vwHfM4i3FJeBWj+HRdAzH3flfD1qcX+2/UFxNV9HnLsqGlNG4rORujUSorDR5IZmoiunmhkHlU6trXOEOAsgh42ypVksmaXDJao4ESiihb9iBGx9d+0zGBBDFNHv3moDI/kU29Ck/+h6zCFNj79+VUbWFs1HGwYVV5HmcUcTkHHVh4YFKqu5XuG7jOvEYY57CBGhkZKh29oc4+DjvfPriYBw60RQnIO/Q1C125NZVdWMGgKYLKPQquUZc3eI3PqBc4m4uOI3Teochy/uGvoM4+yM+rc4/zdyENmlpx5hKdC+mWItLkxWHjHgMbj958PuSB4taseyccB1qCySrIEnrPd1/EthW0DmHm1cmIPsqtHy2mEejcA+/wydS8PRW2cPONgVHpiqK0vbB2DIBD0AQo7X2gzjsGTf5JaEqSUKUpqrMslWsUtCXJPJ+1aw8WzkoHP/NodvHZf6DOOcjp1PR8wdHFsHYK4agujYyXpmxmsUr1yCrXCCjt67pEm6C+lQVHv23QF5lquOi9DdoSlKfvhkfs7eaUcDLAKklcy9FsMk2h96P0NrrwINz73cSisyRhdYP3I8Mse//BsHGPRFnKdk6rpjRrW6/evFxNYYI0T8AQqQ1TQTzktu7QFCWz6RcJ0sqCeFgZDSxC2YzM1pVvlQ4+sPXtd8End7pYLTm7Fuqso3yhas3GXhStPmCex9olmMUwXbySuFbae0Hp6MOXQBSdo4i36ZbWzzmgL5z8omFwoIurtj1BXixmXobKUuQd+gPlGYcbPBc663XIrS28T72xCnbGIlTI2r6Hbmuhi/+mBHJ7GWRdjGZedCzQFJJxYDLsDXnISomrbtXnWO3abMW3ZkdnKh+hLgWU0SNXSpNMyYOIdEwyqAu4XMd3zCNmv4SubuZF7aGyd75l/puyrWjQlrYB+VtQRNjWsw9nUJlMuqR1lM47lKFEPhk0v8otstklTDRYTNuaa5lpoFhhwwOxJhFcexuQCFfnHEZpygb2u1C5x7D/h8q5ecaXJhwVxSjRtoOfwgXsrySO9RWZqMw7CnX+MT6X2bjFwMa9NxS2AdAWn0ZJ8kpObVfYenHNt8LW21z73dpBg7amq5SM2CAH635+0KLNvDaE9YCDBQ30l1UZMCFBmHkJodzJCKF8AULZaEDxmT+hdAiAtXM4FLbuPHqtUJ+EujQPcrdYFp/SvEaUp29FadKaBsux9x/FJx+VW08Wu5qiM9AUnmUxTVFmSimjCK2ulNoYJcLaORQukXNYmFKvSBJ6VO9Mork0eQOfxOvXJxefWYbyDMlNujG8hz8GhY0r3y9N3oSK7MPwjL1dunA550DB57D3HwZ734Eoz9yPolN/8HMOgaOhzj0qjcwbtLxtFPZUIyZNdHFo0JZxaiFFsWuEJv1dxnXdlBJnpbTl2mESyTQIYO3kA/ug4W3epsn0O6CLUjI443XRlKE8fT8cQ0Zxyxz6m27JYKypdDz6nmnQQJ97BFVFZ1BSpoa9Xz/Y+feHNQvrtljXi0MoF8dvRf7hP+s8Rr8Fo1HP+17YrNctO3pvrIJDVQHK5O3ret1WCKHcOqFsNOihLUlnkzkWx4UpXCpAJQHWrsHw9vRChW1EdSu8fJ7omMbHmurjDd1yTS0NAtpRdwI3yOmW79PAoFuDzBZLFcpcwqNXc6YOl0hoimEwl00USbeaYj5X1saj/22cIUQZS7n7P+UBXGuXMMnQkc4fJM64VSEdY9N44ID6JLf3NqByqrxDkmmYKR3bo/89LRoAdVEWoFDjajFCWV+Zj8JTS3iAxtajL4tjGripzCf/kGPsGE4C2SlsLmRyW+QfW8ivU9j58QB2lZZc8mm/9ILKNYYFdmfRVYSyvVUW1li46/Wm8B5wkFvOObXMYMC4eCGUReq1oMtCI6oukVfWfUymgI1NTyhcqT1UTRo1pVvXF8lkNEJpyxQpppHt8sxdqNIUs+mXCTppEY4h081CnMRycTylbDvBxqsPL4OEG7V5Iqdbp7BpDdaV0rRV7tH8GkrdppNd7r6F3GvZzncwG2xJLTgMXMdF60AC9lxCmUSKa/QVyN1PFxFGNkjxH/+6+XmniKls4kUXNHSxI10k5rGbNUUBZCpyKHXkyIG1c6CUlq1Xw9o5iO+bLkSktMUc5O77ktPAFfaeUPgPRHvAF6Z2NRFAx9BRrTA484O9kzsUspFQlZSiPP0Qcnd/wxd5dn79uYZU6eDVDmvfvTC7N9dCiuZ78ICJRYtkwUVBScIWFJ5YwaaENp6RsPOOgUvP6XwMMR2/lNp0lKfsQ2nKTj4+8/GrWgBTKjUdGykLhXu4d7HUVxbFBg1HZfMP/2AuZ6FzDGXlUHkEiV+50pF9NfgxlVN1i8ImOgnYutU5jzR+jA3sEJHEnh0KGziFzURJwkp+zDXqqi73PdWHvg+lgz/0Fbk8GE/XLXSeJc8UEr00cEPeKpDRwIQerlE3oTDuW+grMiBTSK7iVM/NJpqihlsgaFeEUBZ0GdjsQ1/BYo5PEvpKVOkl4w+OgNq4cTo0bBueRO28B/JJiFK5uDWTpoiXoXIK5XZNFJmujcJeamdBo7oGTSHKUjdIZiX2vrDx7F1dn1Vd51Z9S3/b+w/nC6760LLkbhF1HvMd+RwqsvZJ66Irl1KprGTc2sm15xXNaolEKcge/W7hKHRJ/BquH7V2DGR3UV15BqdQc4qslQJOYeOhcguDyiWkOipItXkGabtqy7knZkn8Wj5pUyq4yjWMIynkUk0pjBR1JoriVsG+nYRyW0J7gbWzP08u0TOgLU5DRfohZO/8kgcgnMLGwCFocGevpsXiNfAaZFY7XdOFG2Hr3RNyJTmgu6As/Qgc/Pt29moKLlJIWNCgGPVpp8ipQ/BQbltGpQLawmTOgqnIOAStIQtaKy+4972Ke7Z3dZFVG/KUyNr+Lot+Ggj1HvkIH7Prp/dfSB/ljv5O+XxTksTZWtqSRFhZKbg+2bnHHL4l9+yuDg1kOIdfjsr8oyiOX2p6VCoF4DOXdF+6pdZcVlDaB0JXQR0ibOAadUP1NYigO2FxZl5dI1mg3RFCWdBlKE1axYZdVBtFophGXM01TnIVNPnHUZq4EgZXN1RZe8NoG8jpdPqKbI6IkvBUuVH7lp6wcY82L1dh78Mj7FSDRXVbdEsCXG7jzqnb9LzSzhsya6kncFtB60PCujnp95RKSHXJpp6WUp1d9a1cCafwqZKxiq6c64opGm0fMAxufa5mUUjtoMrTdkuCXlbjni0tQ3LVpsfcel3J7tea4mRoChKkGmZ7LziFTYDCwRsKO5cueaFJ66xyCWSn5pL4TZx6mX/oF9j59W3SwO1iMe1iQ7RG3Jcrso7zflc7YkF9gk3YFKZ1AaEszvTdiSqdGpV5Z5F/+Hce3DPhHnsND5ZmbHoHupJMNgI06rWw9Y6Ga8BIKBX+6I5QGY3n4DtRcHgJDwKYymq6CpRBRVFwFsXFiajMj+NWU3ReVzoGwN5vBOx9h7OApgHy1ppHWiJs+ufRl6eOqlW/uLH8bUqXgpZUhWVJ69KZCKEs6DJQ+jONplZk7IRz2CxOnW4sVUtlyIC6JANlBUksIhV23nwyomh0Zf5JlKWs4/oeEst2PkM4AqxyCQdAU/ujLUnlvsnFp5eyGzfVP5uEam0RS+Ldvfe1/BpNwWkUnV7GkV4pRdvk1lpzn25J5FNNMtVI23rV1C0p7L1g4xHNaddk2EUDATTQQCKaLj7c+lzDUW2qYVPnHOUIDRnZcH2zgzdKk7fyOrJDNzmTKm0lh1KarO1h49kTsmZEwDsKKb7f8Cgvt3WGfeBgOAQNQfHptajMiWOxfDGhKUxlF19y9M07+DunphOOIcNRmrSzwfz0/dr59EJlQRJnHwRNeYKzFLrCAIOxCw7qCBqn+OxGFJ1Y2egFb/7Bn8z3Ve7h8By0wBxVtTLkdalNWllwlgfyJJdoLZf2GGvfVmmrn6v1eJWes34qMg9ylwJLhj5TRcYeaArP8LmQSn+orEnOkeKTPA9liWmLznKKcXnGDumFRiPc+97O89Iy2DOkJJmNx8joi8S1ZHap4vucneUcyudRo/HcxwE6H1LWmK4snY08ydxTak0ljh/dBUt3Pu8OvP766/jrr79w6tQp2NraYsSIEXjzzTcRFVW3b/rOnTvx9NNPY/fu3ZDL5ejfvz/WrFnDryEKCgpw3333Yfny5ZDJZLj88svx4YcfwsGh+a1c2xIhlAVdBjK4oJMrpVBTRLkx6MQmU7nBxtMLCo8hdZ6ji3w+gcrkUGcf4JTqysIzbNrl0vNqdsjm3pm68up6NWlkXhrNroRVlcxcM0wisix1i2R8pSvnmmNyu7b16MWj+o2uv17NTtMFx76r9VgF7ANGwDFoLF/sVGQdRFnaNo5g2/vVrD/Xmdm6wqPfTY0umyLJlHqt0VfCOfpK2HjEcISl+My/0OSfZsMblVsPnpwipnEqeFnKDhSfXc3tnjI2PsfLUToFcv0uXVxQWxQrmT8Kj/8JGaVvU/11j0nSRZpeSn3XVRZxWm7RiX/gGD4eDgFDOf2787GCEQ0jKxRVVsXO5/s6v36cpmnr2+eiuSAqjFuLwuNSrV99yjOO8HdPzuK1ocgd1StT1Jnru+3awRSnnaiCqKPuDtD+py1KbVQk02AoHa+pjRnVKDtFUNs+WbvtA1J7KX5ntAfFp5ZJ4tHeg1N0aaLPJ4lBpfkx83Omx2RKHry0VOjcWnzmH1Rk7jE/RutsUOdxnbWpe4VkEuYMh8AJPJhNQphEsrY0FQXHvuVtQS7c1JXC2ikINm49+fxLLaionIqMynTlcSy0FXY+cImcC72jir+3+tF2eow8SmjwnFpQOQRN4tcVn/2Tz81Ke3/z4LVpAFsmp+PgmEZLrASWS5XR8jMtunrq9ebNm3HPPfdg8ODB0Ov1eOqppzBlyhScOHEC9vb2ZpE8bdo0PPnkk1i4cCEUCgUOHz7MgtjEtddei8zMTKxduxY6nQ433XQTbr/9dvz0U82AaEciXK87GeF63byjgqY4AcVnfoeD/zjY+gw5p7CxkathgAJ6ozUMukqoc/ZzCwZdWaZU92OsgtLOF9auYbB2CEBZ2mY+6ZL4pdooFllVOq6FYsOvKj2/nqDWFE49ZrJYzNnzPkduTW0xKG2M+i2TU7RH31vqnEhJyOYf/MLsQs09j63k/D4OASPh3GM6DBpqx/MVu7BSGxMaDFA5B8MpbAqvW/bu9+E15AFu6cEGXGSoUt3ipDLvJOy8+1e3q5IifaWpm9gN1jlienVKXs02Kzr1D8rT9vD718atz3zY+Q6o8xitV/6RH9kIrEpTAju/AXzRYNBVwEAOsjo1i2a62CFB7zn4Nr5opQu7zvodKKCFQqaHxko6ODeVdpyz80vu7ekYPBz2AQO5BVV3dr2m3si60rpC2ETwJa+ZWz7RBaS2OJP3O4WdKxQ2LuYBEEt06G4UYxVsjcVQy7qGsBeu1w1dr8lXIHPz++a/naOmck0y1c2Xpuxm135rl0A4R06FnU9NOU1t7AyFKEfbpOxSpk329oXs18C9b7m9lFzKXLL35MFF8m9QuYZI36muEjm7P4X3iPub1TebUm6LTq/iY7hT2MQ2Wef2rFE+l5mXdN48zq0NaRC5InM3P27rHQtbz77s+SGjSVHXRO1caccaijJTWjZFe89hJkjn2LL07ez/oS/PhLNtFfJys8wDLRR5tpLToLeRz6VOoZeYO2SYoHO0Xp0rtQ2rMvCtlJV2nL9/t143Q65snwhXlb4KOfte4PvWzpE8eCBT2Ddxa9epPdm7iut1V2gPtSvG8lyvh504i9TU1DrbTKVS8XQ+cnNz4eXlxQJ6zJgx/NiwYcMwefJkvPzyy42+5uTJk4iJicHevXsxaNAgfmz16tWYMWMG0tLS4Ofnh47GEkI/AkGT0MVIReZOlGdsg0vkVZJZ13mgKG9FYQLKck6xwCYxqbT3g0PwJNi49OA05No9CHUVWVz7ZuPZF07hs1j4UkpXwfHFnIpFo/UmtKVpyN33ETtbm1otUSSaIBMup/AZKD7zN8oz9sAxeFyd9aK0aeqjTKPkzhGzIFe58Cg61ZYRJI69hz7MIoUuAEtTt0rivro/NBlwUfSX+xtX5PCou51Pf46UOwSMqNO7mWpLqW+y15B767hIm1DnnoRz9GwUHf/d/JhTxPQGIpmQsamZnEUyIIO2JA36elFHuuCx8YiEtjQTWVvfhrVrCDwH384XLHRha4nQetGFOFF4fBm757r3u5LTs209I9EdCZj4OIrObEBFxjFup1Ob5BVPwSF4CGw9wmHjEQ5rZ+oj3kVEsaBbHvu1xRnmv5VOvnAMGcGDWfmHfoWNexhcYy5p9PjWLutTZUD+gR+4XZ1T+DgWCBxdrqriwTZtYRLyDv4AG49apo0yGdfg5h/+BR6x15kfpiycstRd0JVksKCkc4DKJRhKxyDYefdG3oFvuAyGOhmo3HtwiYulQ+nQ2qJEbpFIadG1oTZT1k4BPNB8IW75KpcezZqPztmOQePr9FGWlctRmrIW6ux9PKhrao9F/aNrd7owQQKaptrkH/mMrwkITeFJ2Hm1nRlkeeYOlCavrvs5FPaw8x7KWWtV+nK+1atzUJl3sMnlqFx6mu9T+yilYzC30KRIuEDQGgIDJZd7E88//zxeeEEayDkXNChBuLlJx+icnBxOt6aIMaVlx8fHo2fPnnj11VcxatQoc8TZxcXFLJKJSZMmccSZXjtnzpwO/xKFUBZYNJrC02ziRe7TJfHLYOc7DLZeA5ocQVXnHkJ5zkbIHMIgt3UHiuLhFDqV2x3ZuMc0anTiGNRw5J5qmJ1CZ0r3bd251gkyinbIuH1T0emlHGGtzDthFsoECQuHgFHIO7wIDoGjzOtJPYldo+dzhE6dcxjF8Su5tszOZ6DUnkTlyPMVxlHdsi0baKmzD8Gtz/XmZXMLkCOL2dHaKXwam5I1ZdxSnr4LNh49m7yIpGXUFskMO3c3sqzUHdDkn4Fj6AQ4hY9FZUEC8g/UpI9L66biKIo65zj/TReN6f89xfdde18BW+9efF+KUNaNbncWFB2iKHJ52n7+273/VSg6tZo/iz5sNAzqIhbSbn0vZ1fZroy2JAtp694wX0S69Z4Fp9ARnEqYu28JPAbMh41rMCoLk6HOPYvc/T/zvA6BA+HScwqsHWsGYboWnb+fCVqOOucUCo78yaUurr1mcR90bq1Xfdyg6G1l7ulaadDtL9qLTq7glnqOYWPNj/PxV06uxEaUJGyEU4+JsPPpy+ULZam7UZFxACrXUPaFyN6xUDLNkyl4oJHOH/YBg2HnN5Dri8vS9kBb9Af/PukYSa9hA8ZqrJ2D4dprHketLQEaXC7P3I/y9B1ShlQtVK6RcAyZAKVjoEUc66k+laKvzuGzeTL1Zy5LXQ9NYRwKj38DnxGvnHsZ1OGi1jmSBrobzFOlQ2nKOhgq82DvP447UNR+jkw2uXVXrUg0DZTQYD6VM5lwi76NxW1TqJwjUJa+Xur6UU/k23rSYDddF1ShImcvyjO3SP2avQbDKVi6prk46fz9sKumXqc2ElE+H1VVVXjwwQcxcuRI9O7dmx9LSEjgWxLZ77zzDtcmf//995g4cSKOHTuGiIgIZGVlcRS6NpSeTWKbnusMhFC2QCgKV1l4AtrSJI6EqpwjOaIok1u+eU5bQydcryFPs4ijNk7l6Vs4VdrefxRs3PtITtVquuigKZtbIgX0vx6w9UV5kRQNLklYcc738Bn5Up0IM0EXZXY+NSNahGkepYMvPGLvRHn6ThZ+jYlQmkedexR23rF1nqN0bHK6pklbms7toXL2fsgOnyTQ1DlHeD4730Gcck2p1xTBpb7NlHLm3mcOdKXpKDq1FA5BYziS3NgIfXnGLhbceYe+l0y7yBmczbekfYj6JutK0qR6bJUTC0Fytm4MijLb+cZKddtyK4542E1/G3p1EQpPLIVrNBmruUNXngcvlyDoy/NQcPRXaZvJVSg89jvU2cegLUrhC0WKzNh4RsExZEw79zM+d0oYpSBTWjlFzCm6UHRiBaeM02cpOFwziJC+9hUEzni1S0R1mkJbImUmmI4v+Yf/qPM8GXpR+rxT+Bg4Bg1GWcpefrwsdT9PYXM/QFfECh0jpCwBMnciUdKZaZhtBQ9MsXjQoIRMvGgAS2kL37EPc0TZMXQkp9ZnbfsYtp5RcI6c2OSxhERsayABQ87/6uyTUOec4Pf3Gnpno8KvNGEDp+M6Bo9Gzp4vOYrsEDScU67ps5Bw5kwb5yDoyrJ52Sq3cDiGjGVjPRv3cHPKrUFdwG396PhMx0r6vVZk7oe2OJl7JfuM/B86m/SNT9b5W+XWE3Y+sShN3sgDyfZ+1KpLypSyBBrbB8jkk0Qy4Rp9Q5OvpXN8cfzfcO15Ddz73C4NxqdtQkXWXk5/pms0QleRg+Kzv0Nh5wsb995c50znPxLIVbrSWtFrNYtsMg2zdgxGcfxfLJLN53ErxXlFnY0b9VvuBW1ZKkqTV0LpEAiHgIkNosa68kwW7eTHoi/PQEX2bs5aUNh6n9cdXRqEotICyxeYzcPyU8SprMmSSptk1SZ4Tk5OLU5Xp1plEr/btm2rI56JO+64g+uOidjYWKxfvx7ffPMNm4FZIl3/jNrF0RTFSU7FZEZBI466Un6MDqDWTuEoTV6BUqzkg6e1UyhsXCUnYz746tUsBO19RqC7whd+CslAy1ppB+ue17BjNJ2oylM3sVMmCVM66bFTpZ03yG9LDyNHgWmqyNzFFxsEzU9GWVR7TPOSg6a+PJvrj8hYRGHj3qz+xXSSodripnAIHI3CEz9BU3iWez+y+6ate52TjrWjP0/oMROVBad5MIAMvOgCg9aBLpIKTvwKdfZhOPeYwaZf9L427pGw9e6P4rPLkZN1AC6Rl3Fv5Np4xN6BvENfQ5dzrNrgxarWycKqpi2U0k6qOw5tXCQTJgMzE3SRRxew1EvXc2CNuZjS3gOw9+DIMl3okbmKY+ho5O77BtbOAXDrexXUWUdQePwvlKfu5okctWkAiCK7SicaFApo1vZvnpXXuUWSrWcETwRdqGiL0qtdZQ3sOls7NTl11dMIuvTtLtV6pW7/caofpxZoUiqUhBX3mFa5BrJJV/HZzShLPwyvQdch5NI3OKpMZmce/eehqyLroIhjR1GeeQxFcWs5OqawcYTKPZTbJbnGzEDmlk944IeOZU4hw/m7tfEIYwHZ1S52STz6jvsf1yLT4BoN8JFYppZujmFU62YFlVsIPJz9UZq8Exkb32b3epeoqQ0Eswytq88tiluNytw4rjn2HHwLR7Gb2o4OQSN5XbO2vcuDgCSUCZN/Ba2Tx4AbUXT632qfDANHjHN2fwKniKlwDJbOJbR8GqijCX4DOOsoY6OU4ug1/CEUHJUyPTob72GP8j5ImV61sfXsA0tEbtVwHyhNXsO3ngP/12h02HTs1BSdgabgBNR5R7h7hp33INh69mcTsMK4X7i2maK/FVm74Bg8zdzuyca9L3QVmVxDTALZ5NnBvaLL0nm5FNG29RoIh4AJ1YZkaklIW7s363NZOwTCvdedjT5H9dm6smQWyQSJaX1lHtS5B2DQFkPp4A+lfQAPOFHqOad2062O7ldUp6Yb+TuuacUp3dJ1kr3v6DplaZaO3Kp7nQssmXvvvRcrVqzAli1bEBBQkxnh6+vLt1SDXJvo6GikpKTwfR8fH07Rrg0Zg5ETNj3XGQih3IFQhFhXlgp9ZQ706mwY1NLOYOczkqMAdNBRWgfwyKBc6cgH1Mq8w7DzGcGjjzT6qSk5K5mHyJSoyJZauVBElVKFeTSRlmNF7YakSeqRKz1W85y8znw8TycJAE5F4j6ukolQ9u6XOZLg0f8B80WGCU57Mhr4xOQSJTkXN05Znb/c+92FkvjlPNJNB386SZHYNo3g8qi9US9Fh6v0fNLk+mNbL1i7hMPGra61fXNQuYTBI/Zu7g1JPSLJIZuEI6XPWbOAD4HCQWo/QcLQ1lNKTa77eQ1chyxFPHV1viOKUrj3WQB13gnkHfyCl+kWcxWLIX6eTLUG3oK8g9/xZ7H1jOa0QV1pBnQl6Xyx5hozj0Uw1cuZXkdUZB7gemqlQ8ODEkVY8o/8ytFH58hpsA8c1ujFo1vvy833/Sc+z7fq7BMskmtDPZ8JujjQl+fyfRLM3sPuaiDQ25OCI0tRnrZP+sNKDmsXf05bp21jglrTuPa6FF0Jg6YcGVs+5Og5tXmiydR/1il8FNdiawpTUJkXz2ZIVLucukYy2ZDbSCPIeYf+5At9W6/uWbdtiVQWJLOBkLWzr/l3QAMZxWc2wWPAlVBnx6H47CaUJu82t/yy8+2Fkvgt5lIITUEyis9sZNM9G7dQuPacDJWr5UT5zge5OcvsawSDc+RkFBxditL4LTDSgB+3xZMawancw2CoLEV5+mG4RE1uk/en4xqlRjuxMD83FOV263MFCo7+DmsnfzhHTOH7Bcf+gHu/q3keKj8xl6DoK1lYUx0yHd+bgkwUSUBZu4TyUGf9zKfOQmHr1qWMnJpqN+kUOqPR54rPLmUT0NpYyWoy+ui6yc5nMGw9+kGde5BNQN163QZFrZpmur4gs9D60HmcUrI5LTuwZoCaRSelZVM7qwvoo1yeuRVlaevMf9t49Idj0PQ60WY63+rK0qArT5OuO1UuXA9tMgdjg7Dq+Y1VGj7fk6M4C3lDJTRFp1BwahFcesyHTNl9elt3NpSxR5OlYNXCdHWj0chtnZYuXYpNmzYhNDS0zvMhISFsxhUXJ2VymDh9+jSmT5/O94cPH46ioiLs378fAwdKre42bNjA0eihQ4eiMxCu1x3U1qg0dRULWpVLNAswmqQDD13ExLRuuYZKTjmmEUODhvrnajjaR6KPBB8JLa5/Meqlx/m+ofF5aOTQSsEHaYWtD7dVoElp58MHT6IlP+DGWjFI66yBriQZmuJ4aIvjeZs4hV/Go510sqnI2G4eAbXzHcEp1nJrJxazxWf/4Auj2iKZDET0FSR6qa6LRvzlsJOXQQ9r6Ix1U9WL41ewcDUZeVRVaflAIDlgqqpbbVTfV6j4PtVY2XlLP9bWHsBM28KgKeF07JJ4qT2PW+8FUp1xrVQbuoBS5x6DjVsEfxcUIcre9Tbc+97IIrt+mnVpyhZOd6MTma1XH7j1usb8nJVSjiq9FpW5x1GZf5oFktJJimJripOhzj5anU5tajNizZ+7Il1Ku60NbVtqT0V1dZQaaErfpos8O99+0BQmwq33+SOP9D0WnVzGramsXUP5orIsuSY1h1A6+kKvLoSdb1+4972yFVscUEIDpUwLtVXz04V05fmozDuDytwzHKXjlliU8l8t4AmPQQvgEFA3nb4taK90K9re6pw4ZO34stHn7Xx7Q+Uq7VdUs21QF7PAou1vwnf0PWycZNr3LCk17JwYq+BQVYAyeePt2izKBKk4C2XpR2DnHY2KnDgUnZKiXfR7JCdycpOnY5bP8Nsht3FE4t+PsLmV74jbUZZ2ENZOPmzAVpF9ChWZx1GWsodfS4NzprZonoOv47rS0uQ9sHbyg513FJQOnq1b5w5yvW4LHA25KKiQcZYLRWqV9p7NGoQrPrOO9yHnyClNrGvDbZC79ys4ho5jQ6/8Qz9B5RYGh6BhzV7X+gKJs4qO/szp2jYeUdAUJsElcgYPdJOAJm8L8rOwRNfrVi/zAkRiU7goC1CoaZ7PRHH8Mqiz98DOd2T19YfkH9Io7bC/Xug2yN77PGTWznCNuhGKJtpotgUVuftQnr4RjsGzoXJunslao3XfhgpOYa+NriIDxfG/cQRbbu3KgSDTxMam1RmY4B7ilAWmqzZt9YfcxrPRa097qyys+elhi3a9PjAwyuJcrwfsj2v2Nrv77ru5hdM///xTp3cyfTZTj+QPPviAzcAWLVrENcrfffcd1ytTmnZ4uFSCQqI5Ozsbn3/+ubk9FJl7ifZQbbzDXf/BOljbdq7bLh0Eso9vRdLWP+DbbzwCh14KWQf0mG3Nhax0wNJBXZSLspxklOem8m1ZTqpkUOUVBAdvmoL5vp2rT4M2OXptJfLPHkTOqT0oSDiCqGk3wcErGNryIpRkxKMg6RjKc1Lh5BcOvUaNkoyzkCtVkCmUsHZwgUtgT56cA6N42al7VyPz8CZ49RyGyuJcGHQaVBRkIXDwVJRmJ6MsKwma8iLYewTAoK3keezc/eAdGAYbjwDY+/aAgyfV/kqpvAWJx3H0n0/hHtobnpED4egdBBsXT8ia6cLZ2HYlEVycnoDcMwfh4BUA756D63zHdOG3/q3bIFcqoS0n12jAP3Y8ijPiET5mLnyih5i3Iz2/b8kbUNraozQrGY6+IfCKHIDC5JMoy8uEujAbti6eMOi0sLZ3QvCQqTi+chELGBsnd5TlprKws3H2wMi73oK1nST0mmpnlHZwM4789SnsPf0lIa/TQF3YeOug8DFz4B7eG7ryYlQUZKM0Jw395t6FhG3LEbf+N34f+i7tXL3Qf949cPYPa3pfq6qCujgfdq6eqNLrser5GnFfn8mPfwZbl5YLHaOmHHKDBjLH1okkWkfa5lT3SUGruPV/8GceeetzsHVu+4uP9hKf8url6jWVKCvIRnlBDv9W3IIiYO9GdWpW5t9/YVoCUg9vR+qhHZBbWyOw30gE9R8BJ++6jpftRVtvA/oODQVpUHi0fRT1QoWiVl2OhJ3/oSQ3A4m7a6I/RPjwKbB388KRlUsw6cG3YOvoipKcNLiHREGpki42dJUVUNo03se1yqBH/M7/cGz1z1xp4RoUgeKMRMitVdBVqs3HIWLQlffAPTSaj1lyhRJKWzv+Hbf35+9I0rb8if3//QXvngOgLspDeZ7UJtDewxcOPPnB3t0H9tW3Cmvp8yfs+BcJ21fC0TsAMpkCnpH9EDRgnPl80tg22PDufRh283NQqGyx8b37MeF/H/P3RMc5Or4qbOq2QqpPY8uk/Tg/8TjSDmzic2zOqerMl1pMevJrWNs1Leiq2kF8mtatrWmPfUtWnAZtdS3xuYjf/BtSdi7naxe//k2XI7U3F/J9bX57Afpc8RjcQnq3+3ala7hTKz6BT78J8I4Ziawjm5B1bAsMWjXkShs+5lDpBB1T5NbVt1RKoaS+1gYUJh6FrqIEEZNvhFdMTSnboR9fhK2bL/wHTkVlcR5f21UW5/CtvrIcMgUZotGyVZArqM+4iq9fSzLjoS0tgINPGJz8esDJLwKOvuH8e6zKO4tvn75eCOUW0FKhbNXEse3bb7/FjTfeaP77jTfewCeffMLp1P369cNbb71ldr0m6HFK316+fDm7XV9++eX46KOP4ODQPu3YLtqI8tVvLoOdS+tGy1sKbcLitDjoK8v4IpQOEnRblHKCT44RU25mMddRtPUFp7asCGW5KSjPI/GcgrLsZGhKC1iUOlYLZ3uvIBxf+hHk1rYIHT0X1vYuiFu9iP8mUUcCmw7czv4RfKFx/O+PYe3oWi2OI6G0bfwkr1OXIXXvGj4Iho6Zh7h/F8Ha3pmX5+gdAlu+2JeEoEGvRXluGrTZZ1Gam4GCjESU52fAztUbjj4hcPIN4ffJPrEblSX50JQVQldRBpWTG+zcvGHv7oeQEbOgcnA+53alC1ESr9mn9iEnbj9/PpeACBSlxkFTVgz//mPh5BuKKr2O1+nEykV1HKX7Xn4ffHsNN/9NQpYuXje8fTsCB01GzMybYTQYkHvmANIPb0Vh8il4RQ1EwMAJyDq+C8m7VvHrgodOQ89pN0CnLufvaNunksmLS2AUBlz9KI78+RFKspPhFRnL6+Qe2jBz4eymP1GYchqDrntcWo+KUha/FInOPrmPB04iJ81Hj7FzzjFYYIRBq4GmrIgvDokB8x+CT0zdQYPGoNcm71mL8rx0JO74t9F5ZrzwPZ/oWoJRUwFFlQZWDs2r9ToXmSf2YudiyTGauOzVn5olJixJKDcGi+P0BKQe2o7UwzsgV0riOLDfCDj7dIw4bnehXJgBhXvbH3sv9KLz4N/foDgrhUVZ+rE95senPfYhnH3aRtjT90sXLgZqY1RlQEl2Gpy8A3Bi7e98zDi7TcpsoYEQOqYZ9Dp+nObxCOsFz/Be8AiNblSQd4ZQzks4jriNS/l7HXbD42ZBWx9tRRly44/ygGJg7BiUJRzCrqWL4RbSE70vuZF/u3ScK8/LQlleBgtnvs3P4gEFE2PueQO6ynJpP9Jpkbp/I0qyUhAz43r49R7WYBvQNlz94gJMeXoRcuIO4uDvC1ko6CvrGj7S+SVo8GR49OgD95DoVm1XGvgqz8/kgezDf36C2PkPw7dX02mJF71QLsmA1u7c9Y0pu1cifuMvCB8/H0FDO9cd+kKFcr+rnoRLUOv2rfOhqyiFXGVrPrdry4txcsUnqMhLg3ev0RwUUjm68W/GoKPr4Uq+DqbbKrrlxzQcZHAJ6sXHqKO/v8m/FUefcDj6StlLafv+ZUHcZ95jUNo2XyCRkC7NSkBJ+hkW8qXZibBx8oB/j15Y8d2Hli2UB/WEo8JyIsqlegMG7DtlkdusI+m2QjmqV184egXBNbQv3EL6sJBrjzpcEkOn1yxiEWnv7i+NmvHImQ1sXLzgFU2uxB1b/9teF92yWqnHdOAjcUOimcVzTgqK007zc30ufwj2ngFI3PoXYi5t3GiiPbHSlPB3AKUNX7yU52WgNCsRJVlJHDGVdnmqcQP0FKXOS4dbaG8+OFcW5cI7ZihHbOiASxc5Ok0F9Opy6DUVfOFE4t3B0x92bj4cKShOP8vC24Q3RYmrIzR0oOeLVZ0Wtq5e/JhbSC8W7eb1lcn4Im3XomdZUNNFrbWDK0c8nLyDOJpQnJGAwIGTOJJemp0Cg0aNfvPuh0+vmrS+ypIC7P3uFQQMnIjSrCQese059Vrknj6I0+t+xbiHP4ZCVVOndHTZV0g/uJn34WG3vgi34J41mRAn9uDAL+/x305+YRh11+vn3LfUxQVY/5b0XYcMm8YXnyXZKfCOGoCKwhz0GDeXL76b4viKb5C4s24PSbqQpGgPXdy2NBPDqFVDYdTByq5l9VP02QuS45BycAvSj+ysE32jAZ7BVz8A/z41gxyW8JvNT47Dvl8/xri7X6kzyFOcmQwHVw/OUKABHBo8qj0VpSeZI8edJY7bWyhXFedA7tr2BiAtveik/Wrvr58gcc9682OXvfgtbBzbv76PhHKDx3RabPz4KYy65WnYONWkpNKxoCAtHnnxx5GbcBwFyac56uoR3gueYb3gERbDmVpNfX7a5kufuILvR46fA9fACBbiDu7eze6fS1HvkqxkFGcmoTQnHc6+wTi7dQVKsqXevJRhMvbuV5G0Zx1/Do5iWFnxsTg/+RQfe2hQkLJWbBxdYSzJRm52FqztHBB7xX3w7NHnnN9T/NblOLF6CQ/O0TErcMA4eEfForK0CDu+fhG+vYei1/TrG2wD+uxHln6OnNOHEDpiOgJixyHt0Gac3bSUo9W0nWmenLgDiJxwBVL2b0DvS27mAcULETOrnr0KMTNv4uNuU1z0QrksG1qbpgMnGYc2Im71NwgePgthY6X9tzO5kO+LrsOc/Hs0uN69UKFMyz3y66uNPhc47DIEDZvV6oxJ+l1UFNB1WgJPZZkJfL3lGT0cQUNnmbM4Wrvs8rw0GAqS8Mf7j1uk6DPploNDoy1OKMfuPmmR26wj6bZC+dp3V6OyMINTOwqTjvKol2tIL7iG9IVLcC9Y27XNl16UehLH/nwHjj5hcAuVlu3gFdLh4rijhXJj0AghpQeTyCvNTMChn1/HoBtfgqNP3YL+jhTK54LE5JGlH7PAtHX2QI8JV3HKM418Uoqc0oacZe34Ao8iEDDo4RHRjy/ijv71caPLpNRoml/l4MIjpJLJtBU8I2Lh1280FLRe9de3el858PPbUoTajto12cOgqeSoNxEy/BIWycXp8XDwCuQLQUrhplTn2lSWFmLv4pdhbe+IITc+w1FC4uCvH8AjvA8CB0k9o3PPHMLxlYsx6q43+OQmU9Sc4Ojic/tnT0BdnIfIiVfBPaw3nHyCz7tv0etM70eQ+Kf3odHgE//+gD6zboFPzJBGX0vLpUMRDUKkH96Bo8u+Nj9HYtsrKhYhQyejKD0R9h4+sD7PCHNrhTKlH2/86NHG11GhxKUvfl/nM1rCb5Yu4Fe8eDPfDxs+1RwBSzmwmdeV1ptuHT394OjpD0cvuvWDs3cAiyBLobsJZdqf8xJPYsPHTzf6/CXPfgl7V89OEcrNpcpgQBGVllQL5/ykOF7n0OFTETJ4YqPnudRD27D3p/f5vl+fYSjNToW6KJ/TminNu99lt5hT9CgFPffMERbBJIyLM5L4WOvkEwRn3xBUFOZCU17MAz0VRXk8kOgV0Q+luenwjRkMB3cf88AnCQPXwB4szmVyOQ/mHvzrS/iFRsJzwKQWO3/rtRpkndiD1P2bUJyVzK+PmngFgodM5vuNpkkbjTi5+gekHdyCMfe9w1k5NEDbZ9at5nm2fvokek65GmW56Ti9/ndMeepr83ZsrVAOHzMbUZMl07DGEEK5aaGcfWInTiz7FH6xExE1tSY9tDNpj++rxYN7VQbkxu1G3um9yD97QHrQSoZBN78BuULF4rMsOwllOUkIHHIpZ/lZMoaCZCx+cr5Fij4hlC2bi6ZGmQRHUdIxFCQdRVHyca5NDR4xB26h/S74PemETGkeRSnHOd2aaiqcA3vy8jsy5bqzhXJt8uMP4cjv77Jg7TX7PhZLNEKvUNnxdCEjhG0llOnia8dnj7CwpRRxErYkKKQ6Gimtryw3jeupKcWcInMFSSfgFhwNj4j+SDuwASUZCQgZNhNBQ6fB1tndvD8UpZ2V0q05mqxB5rEdyE84CreQGL6g4x6FHD2mGi+jlL6fHs8DOibCRs9G4vblcAvtxQKbBHLoiEvrRIUbg9aX3kNpWzNfXsIxxP33I0be+TrXuW39+FH0nXMn3EMbj/KS0Dq9/jde7z6X3Q7PiP4XtG9RyuKe719H1KSrOEJTn/rLpe1B0a39v3yArBMNzcXG3PsGXPwl44e2FMoH/viMI1VNETJkEgbMuwttTWu2K+1XR5Z/h8yT+zlt1q/XYLj4hXE9vFQv7gE3vxDelkqbjnMQby3dTSiX5Wdj5at1M2omP/wO3AKa3m8tTSjXh82lUuNxZMV3fIyJvfxOHnRpbPBm40ePYcrjnyA/8QTyEk4g5cAWzi6Z/OhCqOyd+Hd2ZvM/0JSX8O/Kp+cAOPuF8OAfCVH6/la8cANn95jwjuyP8NGXQGXvDNeApn0QaqMryICV84XtAxSd5vOAV0CT+wD9Bo8tW4SSzEQMuvZR2Di54dTaXziLacD8B83zpR/ehoO/fWT+O2jQRPSedQsPWLZWKPvHjkW/uXc3OY8Qyo0LZUpd3/vNU3AL64t+VzY+QHqxCOWckzuRc2I71EU5qCySulGYcA3pg4ipt0Dl0DxDNEukKwjlQ8NjLC6i3H/nCYvcZh3JRdMein7g3r1H80QnYIoEx638DN69x0Dl5M61EwobeyjtnDiip7R34TqL5oxC00Wpa0hvngiKitFI3PG/3oX/oOmS6LKygtLGgVPAqV6iu+McEIXgEZchecc/OPLb203OFzBoKqc6tVXNJ217bV4yDHo97H3CoHJs+sBOaapjH/6c62W4boZraqiWRsP7A4lZSiEnoyzaD+hCns1U4vbj6NJPpGU4uqIg+ThCRl5iXi59lvoClEy5KNpblHpaagnFEQSpn7GVnHoay2Dj6AZH70A2nEndv57r2Cj1O+PINp6fxPr5RDLRWD2ve0gMdOoKjixTGjdFl2kdWUwY9GZRb4qW0q1XZH9kn9yLxO0rzUK5tVCEKPbK+7Hz6xc46n6uNGyCthGtw5DrH0NFUS5HpChl8cympfz8lo+fMM878+WfUJKRBAdPPx7MaC0UyWpKJI+793W4+IW26wBPSyBxsePb1zk1fexdL7MxWmPHqnPVKF8UdMLHL83NRNrRXTiy4nvzY7FzbkXk6M6teyQoMkwRYjax8vTj6HBL9mkaVHQPjsSYO15C4p512PLp04ieMp8zGWpDopKOQ1kn9mH3knc4/brvrJvhFhwJGwdnnPjvVxSkxCF81Ez+bUdPnc+P19/HSST3vfQmhI2Y1iFGmE1hGgRtisqSQuz/+V0urxlx20soTD2DPT+8CRsHF/S6pKbXPOHfbxQbSSbvXsPp1yn71iN05Mw6IrylUFaUoGmMTRwIKgqkfte2Lt4X/eZL2fkP1IXS9iBzLNomjn7hCBlxOZTnMIrrMnSBXvIW1x7KaDnr0plcNEK5NiQ6XIN7ocfkG3Fy2UKuJfaMGgp1cQ4bFZCzr6Y0HwobB/j0Hcd1xs01E6LoDdW2kiFB+MQFKE49BYNeg6zDG83zxF73Ih+ISLxz5LMbQtsrbMw8nsj4qyQzgQWkKaJMIjR+069I27eGp7BxVyFo6Ixm1ZGTGKYU74rCLKgLsqEuymY3bBq5p1ZLTk4uKCvMgUajQfCwmQgfezmLW6opdvarG4XgtGNbRbMFFkV2/fqM5LTtpJ0roSkt5KkiL5OjHOeC6uV8YhoartRPX6QaPEp5JsjYK2rKdShKO8OCvbXQe/S57DZ2rPaMjGWhTPtq4o4VOLXmR7NI7n3pbbB19cSZ9b9xxJ3S+ZpKl27JRdyxFd8g67hkWkSmX+eivCAbOacOQKa0ZiMh7+hBbMznHtITTr7B2P/zB3XmX/lsjWt29LRrETF2tvRHC5NlqJ5c5egCTWnN+tEFPqWFbvr4Sf57/P1vwbWDI4L1zZnK8rKwbdErCIodg+jJV7Q4pbS915HWz9HTMlK6OzphqrKsGKterxvZ8+rR2yJEMmEllyPj+F7kxh+T/pbJeJCFhbM7iWeTE7QvO283Jk6llPITyDq5n70YaBk0gEjimI5xtYWyf9/hGHfvGzi68jsc+vtLsxEVMf7eN+Do5X+OlZX2axLTF7SPU/ZOCyHhu+f7N9mTgmurrSj6mM7PUfo1CXiKMtNUWZzP81HdsXf0YBz47UOU5WYgZsYCNlJsbN1p4JCOxzS1BfnxR9mQzN7d16KOB5aCVRP7gGfUINi6+iD9wFqEjJrdZiV5XRFKqb4Y9wGB4KIVykd/f4PyV+DbfyL8+kt1mfXxiBgE94hByD+zD/4DptYZNaOLAUqnzjyyAcnb/4JH5CAEDZ/dIPWEBF9Ffga7XtNUkhbHF/jkWuwVMwIekYM5Xc3ZPxJxq77g1xxc8jzfkmAcfu9n6O5QZN7TsWFLnb7zHmbRRPVBCZt+5Wn8Ez80ugxKBzqx7DO2/68vgCgjwN7DHz0mXMPzZW77tfpiwYrTnTMOb+b5QkZc2kAot5aoydfCr+9o7PhCimy6BNX0jGtrSMA2lSLdGKa0ZeotXfuiiWqNKY373+dq+lCTKRmn/Bn0cPQKxPEVi7hVV8T4y3lA4EJq7akG7+San1CYEgffXsPg12cE1xY25SpuqgvMPXMYR1d8y+mZZHoWt55cestYuDv7SfXukx7/lAdeSDTnxR81v55aRUgboYp/dy25ZCQXXcoqqA2JZKo37zH6EjYycjlH26u2ZPNnz/F7hwyZiN7Tr8Xpzf/g6IrvYe/uzUKjz8wFCBk8vl3eO/PUQWz58iW+33P8HHiERcMzLIazGcgpmCKRtF9lnNjH+5m6uBAKG1se1ChIPYO4jf9w1JHERFFGEkbf8hSnhXcKBl2HvVVuwok69ciXPvc17Fwu3HW9LfEI6Ymxd73EBnAbFz7JGSWRYy+Dg4cPyvKyWWzlnDnCgx1UE0xmY5Jw9uHsBUrrp7ZW9NsiARs6bArSD2/H8X+X8CCnjbM7fKIHcnTYlP1CrcjG3PkyO+jTALFSZWM2OTwXpmeNBj2sGol6UznHuvce4vuzX/ul6ch4lb5F2+jIP18jaZfUx7o2NKDg338MH8MqCnJ4QI8G1ilDxjtqILePo44BZFw48OqHOywCHjryEiRuX4EtH0rbot+8e+Hfb3SHvHeXoYl9gPbZXpfdjX2Ln0PyjmWImHRdh6+aoIOoap9e4m0JZS22V+lka7CkdelMuq1QphOxW2gfFrEEndipVQ/1zKXnTMTMug+JW36lKlEUJh9Hzskd8IwaAplcycKWxDEZMpGZgQ+laTuQc6UBGYfWozjlJIrTT3N7IKeAKLiHxyJs7HwWhnRhH79hCRK3/sbvSaPSbmH9+dbOwx8hIy/vxK1jOZAIib3mKcStWYyMg+s5MmzrWtPf1QS1deLv0gi4BMdwa6jCpGPstq2hVk8l+Twa3GPSdXD38kX60a0ozs3kE6FzQA8UJp2As1/bRgIpfW7qcz9JUQcLGcVf/UKNCCZcAiOqW5H0lRxgq6rQe9atOPXfT1zjS6mCUVOv44tYdWEu+l5+D7fTIjOcC0VbXsqO3RHj5iJs1KXN2kZknnNy9U/sDk7CeOD8B5CfeBJ7l0jp+0Vp8YiceAWbr235+PE67Vx6zVjAJkMXAkXVitLj6zzm4h/K0TP6TbsFRrRLChf1N6YoHA1YlOVmmiN+cRv+YmFCIp7cf4cteJQvwCna19bQe699/1FUltbUyVP7qOLsFBxa9i2C+o/Cma0rWTxRXWppXia7EhOhQydxmQAdR2c+/Tnyk09jx3dv8XMXkg7fVaB0a5NIpvZKoUMmXlC/7ZKcdOScPcqRzeT9WyRTNvJPINf8oAj0u+T6CxJiLn4hPAhDZllnt62CuqQAPUbNQL9ZNWnCdJ6rKMrnfuKmiVov9Z5xLQ+OnFr/h9TqaOA49J11E5sfFqbFI+vUfiTv28S/GxP0269vPHheqrOLaL+sLYIzT+zDzsWSC7+Jv5+ajzlv/nHBx2ESvySSe06Zj8jxl5+35pPaadFr6LxFDvkx0xewu3ZHEj3tep5ogHTfD2/g8B8f82SC2ikOufE5HhQVNITMRqlGmTLbQkdf3uJWhAJBW0EZkTRZCpa0Lp1JtzXzGjzlCvj0GoHT/37JF7ZcY0qj2DI5eky6ER4RAxu8NuPgWha3taE2T779JyBwKJkoSf0kqccszVeSccYsxO3c/dHv6mfM83QmlmDm1VLy4w/jyO/v1HmM+gAGDpkBt7A+PNhAbtQUkaDvMv3gBiRs/p1H88PHXQWZtQqpu1chN24vIoZORl5KHJQuPmy8ZdDpOPIfPGTaBdWYttd2bUuHdIrQkys3uXdTH2bqwVwfJ79Q9Jt7Dw79/hEb0FD9HYlkz6hYjiKTuG7qgrP+NqDX7/72FY4eSpEnP8hVNixyKYW5JDOJI8t9Z9+BoMGNZ3bUXi455G784GF2yKUBiJG3v8zpmZTaeXTZImSf2s81fqHDp2PjBw+hx5jLOMMgempN+jVh1JRDbtBA5uhxwX2TTVCEe/ozX7fJIIIpTZeggYCDf37O5lt0jCIxFDRgDEdo6fDsHdW/jjFhS2hJjfKvD0u9shuD3IXpu576yHuoKM5HXtIphA6ewC2osuIOodeUKxu8htY97chOHPrnW47Gx1520znbIbVLH+WCNCg82qYvcVPGOJryUvz97ALzgMHgK+66oN80RaaP/fszygtzYW1nj6HXPMDnLclDQYu4jX/z7YgbHm2WZ8H5zLzoOzr8zyKMuOnJOmUFFFWmQQ6Vfd36xL0/f8QDKGTk5R7cfpk01CZq+XONR/hIzEx48B3eL8n7YdXLt7LJHpmCNVhObhKs3Jq3D/z3+h1cKjLr9d/PO2979JK+0GXSQMa6129B1JRrOMqdemATG0IS0174BW2NZEbZtrTHdpUVp0Fr39B0rrY/xfaP7oZzQCSbj9IA/sXuet3dMOSdxeKnr7dIYyqTbjk2ro/FmXn13nTUIrdZR9JtI8qRU27ig517+ABufWOqfSU7+1MrP+WWUb59x8HeM4gvauiijg765O5H6b2x170AGydPs8iuDV3MRkyR2rGk7PqHU7PVhVmNnjQko6QqvtAhV0HqFUfRau9eo2DjXNeFkdaJar5cAus2ir8YcA/vx2nXdAGYd2Y/Uvf8i6KUkzyZoP7MHhEDWPTS6K++sgwVBXqcWvU1rBQKqAuyeL7ijHjuVewTOxl2bheXSQft8549aOqHHmMv48dIxJITa/zmv5EXf4TT8mjAgITo6HveRtKuf+E19Tp+7vjyRfy4b58RnCrt6BN8zihN/JZ/OKpE7U8obZN6VlNqMEWlc08f4lroQdc91mzXZTIzm/bct9z+KWnPWmx8/0FETbySf8MBVJM79Vok7f4P2798jiNq0VOabonSWqjtzLQnP8Pq1+9qYC5UmpPKbWvaghOrf2LzMPoco259Fl4RTfd37Qiuem8p9v72KfdYps9akiX1rSViJl/B6bcqByeeXKujhZRiTVNj0H5D/Zl3fPc2Ox7T5xx69X3oLlDrpN8fnVfnsZCBYy944It+rxSRH3nzE/DtGdvgednkedj02fM4uf5P9JlxLS4UGoiic5edS82gErWB2vrVS/ydkRinyDOlaHv26A2f6AHIOnUA1u1s8EPHDPod0vGEzp9UXy2TyaTWe7VatFGmzJw3fm96u7dAH5BI9o5uOIjeVUjeLfWiDx8tHfujp12HHmPnYO1rN2PP4pcRM+MmOFyAaVh3hfZlKt06u+En7Pj4Pm51FDp6HtzD+nZqq0/BuaGsl+QdS82eQhSwKs9JgU5dAif/KKrb4GMb+QZZlaRZ/OYUZl6WSbcVyqYaqPo9Tx28Q9D/uheRuns5Tq9ZxD8wJ78Idj0m4y3CK2Zks10Qg4ZdBpWjOxI2/oi9Xz0CObdAktogyVV2KMk4C4OmAjYu3rB18WIxTNi5+dURyuSSfWrFp/AfOPWiFMom6PvyjhnOE0EDGOW5aTi29EMc/fN9jH30W+mC+7Y3+XmKMlNLJZWzB7KPbuMRYQc7G8hImCk7P7rfHvA2MRm3NHESpzRhY5XOPNBDF5pleemInnEDQoZN5ygDmXRRxChivHSxT/W/dIFVnJ6A7FP7sG/JWwgaMpl7dBL1BTNFr89u+gsuQZE4vZHSHmW8PnRL0WSKJNNELtvULmvIgifhGXH+dmymHsnBgyZytDXr5F5u3UX1zhQ57jnpSjbsItHaNA0HuFoCpYlSD9iMo7vqPL7+/UfQ55IbEDFmFi6EgtSz5vshQyd1ukg2QenV1Pu3MCORB60o9dctsAcXjFKdcnOpqjKw0D67YzVH4ilC3n9WJ/QobYY5YGug+ux9v39u/nvkjY8hoK90zGqLOmI22apX31yUkYzja37hfafvzOs4vbstcPYJ4kgs1cX79xnGGQz0vdMAGKdfF+byfFp1GRJ2rpFSsCsrsPbtmkGP3jOuR+S4ahO9NqS56drnFDMt2AcoW4XaN9HFdVcUSGc20IBB3YgUHePDx8xF/Ja/sO3T//Fj9u5+GH3fe7hoaMY+EDhkOrx7j0LK7hWcnXb0j3f5cSrhi5p2M2ycu3+3kq4GdSmha/nGoP7P1MnGt98E9jjw7j0WWPYbLBnTNZSlYGV1cWchXHR9lJuComdkwEV9linaTPU8Tv4RreqvTMY2eq2aa/UM2gquOdRrKqBXl3Lk2smvB7KObELS9j8RPv46ePaUHJAzD2/E2XWL2V07asYduBhTr5uDTl3Ko4bnNYFpZh/lrpp6nXV8Fw79XuP87BU1CMHDpsM1MIojrxQZPvz7h9y7mqLvNFEWA7UpcQ/rg/RDW3By9Q/cH9mn11Dz9iQxS8I398xBdtsuSDrJy6JSA5W9C0KGT0fo8Gnm9aWIWn7CMU7JpQtL7g1dfct/Vxm4NprMtug1J1f/iF4zbmDnanIgr53CTNuW2mJRpJsGSyiFkMxzTGTHHcTuxa/x/X5z7kBwIymWbdFHuTZUe7jmjYa9SYde/ygLigth21cvsmkSERg7BkOvremz2pa0tj0UnRbObvsXJzf+xe17nHwC4d97CDxDY+AR2pPTwmtD6ceUMlyQcgb5KadRmBovmR/1HoKocZc161jcFfoo0365f+ki5CWe4qh66uEdHNWNnjD3gi9waH0zTx3A/j+/REDfYeg783pOwy/OSsXx/37ldHd6n7Bhk/nxtuyjTO9N31t23CH+rZEY9gzvzWI5cfc6DLnmAQT2H2WeX6/T8wAlZQocWyUZMM59609YIi3po0zn8BXPXoPel9yEsJEzulTqNUXe/3vlBvS/4n749R3ZaCovfc9ZJ3bxQGrQ4CkXT+p1WTZKdQr2oSlIPMa32vN0XyDsPQNRnlszIBs+fj5cg2PYM4XOr6ZSsLZGpF63DJOpLgWjKEhG1ywHvn+Gu6NQlxkKkHWFPsonJvWHo9KCUq91BsSsO2SR26wj6bYR5eZCBiTuPQa0ybLoIt+aJjsnyXG3emSXevVRjzoyDSPBQhdUVdVurDQalrTtD44kh42rW2cpqPdd2XaDXn5tgLN/OKKmXI/y/Ayk7V+PnLh9PJmgwZ5B1z8F16AeDV67ihyvq8fGji//GsXpZ+HVcxDObvqTW0dR9Dh6xgLs++FNjlqTUR31UC5IOoXU/Rs4/dlkVkNCtzkR4sAB4/hWqbLDidU/oDxP6tU4+Pon4N2z5rd35O+vkB13wPy3e2g0AgeM58iud1Qsv1d+4gmkH9l+XqHcFti7eWP601/h31drWrj0n3vHBYtkEiImkUxYSjS5fskImXhRhJkcjEkwUW3y6S3LsXPJe7xtPEOj2SCRItCVpUVsMOYbPRAxk+ZxFLq+mO7KJO3fwrXYiXs2mB8jMUmDAfR5L7RWPWnPBsTvWssDCkOvvp9bSpVkp+H4f79x7+OeE+bw4/UzpIjCtAT8994jGH/3y/y61kDnJIpk09Rr6nyu2cw+fYRN5Ubd9iy8I/rWmZ9++zZObggdNpWFMv1WuwPJ1X3UyW+hq6Zde/Tod87v2bf3CFwM0GDfulelGnd3d3fk5+fXeZ7Ek1tob7iG9IKjdzCXJxUmHkNB0jF49IhlYy9TWR6V4x1f+hHiNzavzpsimTGz7ubUbUHHRGLtPWpKCkgsD7r5LeTHH8SJZQvR/9rnYTnyswulXldZzrp0Jhd9RLk9SN7xN9cu0+gWpVeX5aYgcPBMOPr14JEuEucUYU7c8hvS9q5E8Kh5CBp6aZu9f3eNKNemOOMslCp72Ln7tiqiTHWAlCJ/vtFgFgJnD0NXTsu0NvdSJnHZnJ7PzeFCIlEU1U3e/S9HkzOP70Dyrn/h22cU+l1+b6PfF7m0Uq0ffQa6v/3zp/j9qY7Nt8/IOlFeulgmsUwC2t7DjwW6XH5hn7k8Pwsb37uf7wcOHM/GYa4BPbivKL131sl93L+U6Df3Tm4VlXv2KHxiBnE6Nf3tEzMYfS+7td0jyiZI1FIE2ETUhMvRa1rLB7W06nKO5NSOUk965APu1dxev9nWRpTPt88VZSYhL+EkCzeP0Gg4eflfcETVkiLKOo0aW75+DbaOLkg7tofb/UWOmYnAvsNxeutKVFVVcW12yMBxXLPd0v0gbhO10IpC8v5NyDp9mJcbPnwqXAPCUJafhWNrfkX26cPoOe4yhI+Yxq7n50pzX/7irTxY4RMVi6HXPsCDGy2JKFMklVzMKQ27pVG/2uZ3VBbRc+K8NjO868iIckVhDta9dQ+XoIy9T3Js70oR5Ywj29mgkRhy4zPsD9Ge5lBdIaKcsmc1iyYvX39YefS44OgvDSAWJBzhMjAicuqN0JJxZVkhT9rSQmhKCzn7zQS1FvWOGcE+LI0NdDX+Ppa1b3VlUnYvR2HiEfSadDW+e/pai44on5o+wOIiyj3/PWCR26wjEUK5jUnZtQzZx7eisigHvS//H19UUt1sfTdsMhfY+cnd8B84DWHj2taQ6GIQyhvfuJ5PQH3mPtAqobxn8Qt8QvPo0R+eEbFwDYkx9+ClNJ7C5JM4tXoxC8XGGHXPu1wj3BZciMAg85lN70nCi9pfBQwYD//+4zgFuznfF7lJ0+du7jrU3rfoIokiwHSBRpFnR68ANoqhW5PRD7lfU8snErcmJ1F6XWl2Crd6onRvasdEYpzEsguJZt9gTvumlkzkak1R7Mxju5C6fxNfzE579pvzrmdbCmUT2xe9wtFgqk/uNf26FokBKsNY9myNg2/YiOncm5lce4muJJTbi3YRyiU5kLu0TCifWPcni2F1cUGdx8fd8Tx8o2Mv+KKTXKYP/vMt7F09ETxwLIJiR9cxu9v5w7ssfofOv79ZrtYEpYKvX/ik+W8ynLN382QxT/sZ9RxvDCqbOLT0K06vNjH02ocRGFuTZt0Y9T8/9RAmsUxRdhOD5j+AwNjRnd46r7lCmX6jq16Q3MuJYTc/A69zZMxYmlA2pV9v/vBBPrcRU55ZzAPCF6tQNmFVlgOdTdvVGJ9Y/hmyj+/gqLHJT6X+wNPZDT8i6/gOGDRq8+MUve4//4mLQihnHd2CgsTDUBdkmLvD9L3qab4ebmsog5NS5MkTqDwvlbMPbZw8oHL25Ay7I7++juixl+PPhU9bpOgTQrmbCeX09HQ8/vjj+Pfff1FRUYEePXrg22+/xaBBg8zpLs8//zy++uorFBUVYeTIkfjss88QERFhXsbOnTtx11138fPPPvssbrnllpoVsrKCSqVCXFwcgoODzY/Pnj0bLi4uWLx4cZvWKLclqbtXIOfUTvS54nHs+eJB/vGacPAOZadsSg8pTjvF8xalHEffq56Cc0Dbtti4WIRybcgNm1wqHbwCIasshowuMJW25xSIZ9b/jLT961hUk1B0CezJ7aZyTu3li4vyPKlHrAkHzwAMvfmFNm8B1hqhTHXESTtXoSQjAe7hfeAfO56drtv7+6q9byVsX4lTa39Gn0tvYVMNulguy0nnW4JaPNFAg1toDLep6jnlGgQMGNfohTNlWlArqcLUs5J4TjvL0WcTo+58BW7BUZwJ0JyUXhbKVVpY2bu22WcvykjEmc3LkHpwC//da/q1iBo/t9mvP7HmZ+49S9Tv+SqEcju1hyrOhsL1/ANa5PS94tWG9ejTH/+QBzPoN1q7LvhCLjoPL/+ODc4onboxyPF65w/vYcaTHze7VzLVL+/55WNzX2vC2t4ROnUFZj77VZNtuegc9edjVzR4fMpjH8HpHO7I5/r8mSf3Y+e3kp+AaVCo/+xzZ4C0J7r8NFi5NN0aqDFvgo3vP8Rihxg4/0H496tb82upQtkEHYO3fvw/jLr7LR6AvNiFsqw0C1rbtus9v+PTB7mMzjkgAtEzb2/2NYtX9DD0uuyeLi+UKbKuLStEZUk+jAYdd4upz9E/3oJzQE8kb/8T1g6uPGDQa+7DbXK9q60oQWnGWRbGJZln2emaMjgpa9PBM4i9hyqLc6EpyUNlcR4HVQKjB2HxU1dbtFCOmznQ4iLKUSv3W+Q2s9ga5cLCQha+48ePZ6Hs6emJM2fOwNW15mL0rbfewkcffYTvvvsOoaGhLISnTp2KEydOwMZGGh0nYfzyyy/D19cXCxYswJQpUxAYGGheBl1APvfcc7yMrkL6/tXIObkDfa58gmuURz64COn7/kVxWhzKcpJRlp2Igz88W+c1LkG9uE6mraBIqKYkH7qKYhQkHoFn5GA4eLV9D1FLgFpJqYtykHlkCzIPb0LemQOwc/eDg9dV3BLAVIfbFJQCSynVJIipX3Of2XcjP/EYyrJT4BHel4Uoic/QUbNhW+122V5ipjWQSM5POIpJT1LEoG1Ny5pL8JDJyIk7gKL0BPSZVTPYRWjLS7hdFEWYycWa+iMf+fsL7uvp4OkPt+CeHCk2QamlJIRpMi+johRFaQk4u+Vvvk80u+6VDcUMZNbcZrj4haLPJQvMQvn4vz+ykGmuA7ZJJJvWD1aWc0LstlR7QZyPvOTTDR6LGjeLzbvk3pKvRFtBQvhcbZ0oCuzsG8T10OHDm2e4pCkr4dTrkMETkLRXqqM2aDQI6DsU+clxSNixBvbu3oieNI/7ppsgH42h1z2C3Uve5TZRg69+AHnxx3Fq3Z9s4NUaqE6djL1IRMXv+JdLCzqVKn2LZqf6+0te/on7M2/95Ens/+UDnnpfejNChk6WWlV1cpT8fFBWz4yX2r5vcpelhftAfUhsFaXG8fVcxqFN3HPML3YCIiZe17y3rw6a0Gu6EiSIc05s54iwprSAu8TQRIa1KkdXTju3dfc1C2Uyz0rbtwqVRbkoz03hx6n8cPCt71z4uui1yDm5CxkH10JbXgQn3x4sjINHzIWjT2iTWTPm1+fFw9KhSwLLqlHu7DXogkL5zTffZEFLEWQTJIZNUDT5gw8+wDPPPIPLLpP6+H3//ffw9vbG33//jfnz5/Nj5eXlGDBgALy8vFhkl5bW1HMQ9957L9577z08+uij6N27deYkHQ2NrFErnvj133MKV595jyJg8AyeTAec02u+5lZUHpGDWUy3JdR26tTKzzil24TKwZWF4Inln6I0Mx79r34aybuWc7uDgIFT0dWhEcSwMfN4Oh8J2/5G/Kbf6zzmGTkQPafeAINBh9KsJOkgf3ADO0MPvvGFZrcm6UjoN5ay9z9uuzT0phc6TSQTVKNNbZuoRVd9KBXbzd6pTn/kEbe9hMzju1hcx2/9h38vLgHhvJ2zThyAb68hdS5AKX3bK7IfT5YC9Wyd8ewirHpZGhg4uuI7jkb2m3UT35ZmpyH14FZkndqPcfe9yaZWFG3/5+mamuYh1z3SoIWLoHOp3TPaRNymZTxNuv+1FrXGOhd0HijKSIJrQPg55yOhXF6Q0+zlOvsGs+eASSQTkx58k9O4S3N/R+TYS1Gak4F17z3C7ciixs8xZ1wF9h/JInndew9jw4eP8b6ceng7es+4tk5v5ZbC3gejZqKrQr/1yU98zm2xdi16BceWf8NTa3DyDUXQoPHcko8EhqUL7YsZCjiU56ajMPkEso5t424o9Ym+9E749GqYZdAUZdnJfOvkd+7fvSVBQjfu36+gcnSDS3Av7gZDrVBVTu6c2lyRl8bO0t69RrNhLRnTFiYfg/+AqfCKltLRqbUnRZUvNHqceWg9d4xx9A1H+ITr4OQfKX5DAssUysuWLePo8BVXXIHNmzfD398fd999N267TXKFTUxMRFZWFiZNqnGkpXSCoUOHcrq1SShTtDg6Ohp6vZ5TsGNi6l6EUNT69OnTeOKJJ7BixQp0BcLHX4v8swdwcsWnnIqy9d0b+HHqnzz4lrc48tRzxp1t/r7leWk4teITcw2Ie/gA5MdLzsFn1i7mC3JTCnjc6q9ZDJKxgV5dDu9eIzmNWFldT9qdCR05C16RA1GUehpFaae5RpYE3taF97NRFQ0q2Lp5Y9D1T3OPSUuE6t1PrFzE7pzDbnkJthdwEdsWxG9bhuyT++DkG9KsvqP0vF+fEXAP6829SnNPH8SZjX9wWyhKc5z+/GI2urN0KI3V1AqHUvjXvvMAVr64FQ6efhxdN7H7+7fgERoD755SXauJgL4Xh+tsV0Kv1Zjve4ZFwy0wAnGblyFi1HSO8LYV1OqJOLXhL/j1HgK3RgQzienE3esx8sbHm208RhkXA+fdiZzTR1BRnMfGYC5+IXx7auNS2Ll5I2jAWISPnI6T637H6tfvxoDL70BAP2lfrJ2afXjZt2xWR0JRIPV1H3PvGzwAnrDjX5z672feLEGDJ/FAJR2XjQY9f2+miczf6Nag1aAsN42P2ceWJ9YR2nbuPggbMQPBQ6eKi/4WQtt05xfS74PSnz0jBsAzcgDsPfyb3JbUzuzMuh+Qc3K3+TFKn6bSKznVcet1nE5cH4pWUm2xnZsvtzW08/Bv0XmKlpuyeyXfN/mgWDJ0vZi6ZyUyDq1D2Nir4dlzWKPb1EquhLW9CweHyOU7YPBMhI2/lv15SjMpJToeRcknWNjWhn8jep3UBrK8GNqKYjZL1VWUcHtVr57D+ZqUrm3T969h52qvnsPQd/5TsHXxRneGshYtKXPRktaly9Qom1KnH374YRbLe/fuxQMPPIDPP/8cN9xwA3bs2MEiNyMjg9OqTVx55ZX8Q/v111/Nj1FUWavV1knb5hWyssLSpUsRGRmJvn37YuPGjRg9enSXqFE2UZqdiENLXoBv/4lw8g2HysmDhSylQdOIWFtAqSfJ2/9CQcJhPtgEDJqOkDFXSA3LrcAHF0o/plShtH2rMeS2dzgCm31iB6eC58cf4rRUSkEOGDydRwurdBqOflXptNKtXsu9n2md6XtRF2WyWzKNMFoyMnUBZFRHbG3XrfooU0/j0+t+wdCbnudI7vlo7xplA+0n2krs+/k9hI+aVafVU3OgemTqw0xpbKc3/MHpjueC0rd3LHoJuooyTHvuW94Xm8KoKYfcoIHMsf0HE8gQSUbpmDIZ9xE++OfnbLKmKS9pMK8pylwfUaPcTjXKBWlQeAQ1q0XT0mekwU2fqP7cCoq48p3fG+1Z3Np6PxLkFK2tKMjF2R1r0GvqVZxeXftClC4kDyxdhLTDO9iFurKsCH1nXseDLiXZqdw2qiQnDSVZ0i1FkinV1sk7AM7eAchJOI6yvCz4xQzidk8GgwGH/lmEXlOv5jZfJ9f9wcKu3+xbWh0p70oOurqcJFi5t10JEn2Hq56/Dv3n3YOA2LEtei0NaJBzf+r+jdxf3sT0F3/k/ay9tmt3qVEmj4rtnzzE1y2EtYNLg37I4eOu4IFxuhYiQX18+Rewq6rgII4JMnqiQU6DVl3HS4YEsW+fMXDy78HztEXJBYlkaiultHPCqPs/adZrOqtGuTw/Haf//YoNsCIm38Tb91yQ03f2sS0cRabrSsqapOCLo28Pjp5b27vCWKWHlUzBf2cd24q0vatYCOurv0PaLtZ2zvwYyREK5PjGTkLG/jWckenTZywL8Qv+/Hln8e3T11tkva1Jt8TPHQxHpeV07S3V6RH+116L3GYdSYu+EWqJQaZdr70mGXXExsbi2LFjZqHcEuzt7XlqCooyU/0yRZW3b9+OljI8QgHSEtJBsOYiRK6srjcz1r3QPd98dB1Do2BUa2JVaz5ZI8ur6hEKWeJo5KXHo7IkETYeXvBx80Tyzi2Y8OATsKnuQ9vs5dWaT6fV4sTurUjcuQ29Bw9HzA1X4pe3X4KbrBBO2VsQGTsIG39bgrzkBPiHR0JZkoMr7noQUQOro6RRY2DQ0ee9kj9uRUkJ9qxdCXXCRlhbW0OhlCaljTVkchnSD/+NymNy2NrZIz3hDF90DZw4DUOm1KTUScsznTBpxa2qtx+llxqbmK/2dm7b+dQlStjYyGFtK681n0H6Ek3zKZSwktfbD84zn+lh83z19hcZ9VystS7Nnc/I329VnXpaGm2tf5I+lJIPl6GxGMked5om5yMBS8uTWdV/XzmfiOrs9waqlUWz5zMtUsHbxRrlJZVIspMh2k2PSG/pfWsvT5pPXqdmnLYLzbf839UoPBPHj7m5OGOkP23m+vNJ+31xQT5+/+djDBg0EKePHIJn4RFExw7iFao9nwm9vgpGvREOLlUNtkttUWL+PursB62ZT6qBk/uE4pJhbyMrLRVHd+9AakI8Js+9EttWL4e9oxOm9venSq4Gy6PvSq/TNtif6bdYfz9tyXxcC11vvob7afX31s3mo21UojfA01N//uW526JgynQc278HurxUDB0zDnNvuIUs9M2/tdrvW1SQj+U/LsZ19z7Mv4+WrN+QyUP575zRsfj5s4XwsSrGxNmX15pPh0G3XgeDfj7SEuKx6rcfEb/mByTJ5fDw8YOTiwusZTq4+7oiYPhA+AWHwNnVDXaOjtizeQOqMqygM2qRd3QbT+6eXrj/6efw7y8/QC+X44r5VyCiTz/Jtb3W/tGS/YrOA+3zO2r7+fK0enj4GqTjWhPHl7rLa3o+tbocG/77HR4eHgixU2NoQMPj2rmPfw4whA5B1SQ6dgHlxcVY/PYr2LvwAdz+7Kuwd3a5oONzU/MZYVWzXWpmO+f5oznz0X7QVudB03xGNDz/0vqs+u4rJBw/AldHO1xy30PwD+tRZz5DlQErF3+J5KMbcPDoBsjlcn4PW6MRvQYOwZSYvti9ZgVGXjIH/j2iOuy6ZFjQNMiuvpTXpfZGPdfyKP27wXy1v19zpwrjeeeLP3YQOanJ8PINgLuvPxxd3fg8Xv+6syg3G8t+/wITL5mJmKEjpSyJ816fekETMx0HNqxG9qnjmHfzLXzdSfOlnYnDhl++h1dQMIpyc1C8VwPfkHBEz5qFg5vXYfQVCxDaJ7bB9W5uahJ2rvgLM6+5HhGxg6u3i7xV1+2158trO5sJwUVGi4QyRYnrp0lTCvWff0ppiD4+UguG7OzsOhFl+rt///4tXrkXX3yRI8tU39xSnHwD+cKhrWhpsGPeYy+isqIcDs41EfOViz7FluV/48qHn+LnCBs7abCgtCCff+R2jtKojcGgh7ye46lOq8G7d16PkJg+WPDSu3Dx9Ob5DDIFjuzZydPGf/6AX1gPjLpyAYbPmN2sdQ3qJzmWNwadaBOOHcapvTtxYOc2fszRyw8ufkF8IUInMI26AtYqGz5pLnr+Udg6OODGZ2pcTzua8oI82NrZQlU9INFWtFcWSm1Bey7yCwvhFRgK7/CoNl1ua7dBUX4eFj37OIZPmYHRlzV0zj0ft7/0Nt9uXv4XVv24GKeOHcGo6Y33E9/3wyIkJSYgpE8s7nn9A3z2whNYv2wp7nv1XfgENjTEqywvQ5W2Ek7unugMPAND0Gf4aPPfA8bVlKN01HclLRcXLXRsUqWnwiuwpnvCuUhKjEd+fj7fz9+yCfe/2tCAJi0xAeVFRdi9eSMO7NqJy2/TICSyZTV4Wk0lDu7Yho+ek9rE3DhyDLyDGjd1DI7ujfB+A5B8Jg77t25GQtwJnD5xHCGRUQgIDUdmZgaOHNyPvMwMlJUUw8HJGfe9+DocnV1g7+QEewdHSi3hZdXeHy+UqpY1y+hUrJTW/Hu8UPKzs/DMbVK3hSETpmDa9bc0OEe3hue/+x13TxuD1x64g/8O7BGFkdMvRcygofAJDbLo76s9lls/8En79os3SQNJc+98AOPnSiV8jXHTC29Bo1bjt4/fgZ2DAy658Q6obO1QkJYMR78g9J/UNWrm62/XxONHkHD0ICpKS1FRWoKKshK+VZeVQl1ayseIs4f2cTmjk5s7nFzd4ejmDqW1CnH7d2PEpXMRf+oEtq5ahqykGlOrG59/k0WxtrISR3bvQHpKMtIXfYq83BxcdueD513P5JPH8Ot7r0rXpK98AFt76ZorM/Es/v76U15+YGRPvt6tKCmGm48flyoMmDEHDi6Nl3a4+AchfGiN0WdboeNBHcuGjLwsy8zLctalM2nRUZ7SqqltU22oltjUxomMvUgsr1+/3iyMKaVg9+7dXIvcUsg4jIy9nnrqKYSHdx0TBNNIvINzTT2KQa/HsR2bkZ+ZjsykeBRkpUMmU2DgpGkYPWc+fn33Zb6wixk6Ciu+WsiveX3ZJsgVNV+RTqPhgw2N1B3YsAYTrlrAJ2o6SMYMG4WBE6bBJyQMilqvuVBIDIf36c/T5Pk3YN/61dj6z2/YuepvjLz0coRE98Zbd0gOrjb2Dhg6ZSY2L/2VD4ymQQBB20Aj0nEH96KkIJ/v04lm5PRZUFp3fN0TieR3HroLYy+di8lXtL4PeFrCWSx5/02+v/yHRchKTUavQUPRM3YQ73unjxzE758vRMJJStEGLl1wC18A5WZIbXAev/oyvPnz3xxpE1wcZKQkQV1eDmOVkSMvFBkN6xlzwXWetzz6NJ67/YY6g4SmZdL9Vb/+iH9//RG+QcHQVFZi6PhJOLhzW7OEslajwY51q3mdj+7bjd0b1sLOwRFzbrgFvQZKUZOm8AkIxJZVy6DVavDI6+/BOyBQik7Vgy6SKW2bBi1r04WypC2ax+ZL7vaLNu5pU5FIYuarDbuRn5WJvxZ9jj3rV+OXhdJ1Vr8RY3DVvQ/D3fv8Lc66K0prJaZffyumXXtTo/t9fVS2trj+0bodRroqleXlWPnNp4g7sAcDJ0yFi5c3/MIj+NhBQRVbR0fef+h67Mbn3oBnQBAHXUoK8/m2tLAA46+8Du4kUKv31ycuGWt24V784uOwtrWFzEq6niDBK1MoOPJ8Lihos3bJIhzctA5z7nmExbaJ4vw8LH7xCcy9938skgm6FjRdD9LxuimRfLFD5xsrCxrdFqaDEi1SVA899BBGjBjBqddUd7xnzx58+eWXPJk26oMPPohXXnmF+yab2kP5+flxjXFrePLJJ7knMxmFXXXVVeiqUFoLieSJV9/IBxU62FHa87a/f8MH997IB/ce/Qbh8OZ1PP/db39aRyQTKjs7TLrmJmz8fQkCImouzubd3zzTlwvFxt4eo2ZdjpGXzsXZIwewffmfWPXtZ+hBo5mHD3AUrygvl+f98c0XUamuQPyRA3hv9Y4OWb/uzuxb78Fnzz2Kf3/8FrNuugP7NvzHgyeTr2y61Ux7kZ+dySfLQzu2wMXTE7Ejx0KhbFjLeT5s7Oww/rJ5yMvKRPSAQfjtsw/x78/fY+a1N6K8tJTTl+m9iK/W7ZTSRQF8vmYr7pwqRcgev3o2vly3o02iOwLLhgTnUzddUy2MZUg6fYr3iXd/+gtO9fwuWgqlMDs4O3OZyY0P1xxTaT9c9M5rKMjJxstffQ9XDylL4dThg1j43BP44+vP+f19ApuO/qUlxuOrN17m+5Nmz8PDr7+L4IgoeHhLWVjng1JHd6z7D2uX/o6+Q4ah//BRDebhAdI2HCQV1JCVIrkWP/XJonbbLO4+vrjlqRdx85Mv4MzRQ9i49Dcc2LIBh3dsgZd/IP73/udwdu9cA8fOwNndEzOur9t+8GLg1L5d+HPh23y9+Min33FkvClm3FhjFEtR3XNl0Tyz5G+knj4JBxc3OLi4sGglsd1cUk+fwm/vvQL/8Cg89MlicxYkQdmF377wGEbPuQq92jCDRSDoTFp0Vh08eDAbbZF4femll1gIUzuoa6+tuVB/7LHH2Kjr9ttvR1FREUaNGoXVq1ebjcBaipubGx5//HGOKndlaITurVVS6rIJqhWZftOdGHfldVCXlnBaCqXJbF/2B0J69TWPzu1buxKJxw4j9fQJBEbG4IGF38DFo/NaF9GASES/gTyRMN717z/wD4uAu28ApxV6BQTBwdUNSz99j+d/cu4kvPzrv60SUoIaaPvd8+p7vE+4enph0PjJeOeB2zFi+qVc/9qRhMf0wWs//oWju3Zw6vTSrz/DS4t/bXE2A0WCr3ngUU49pvp7Esrzbr8XK3/8llO6X/zmJ5QVFyEjKcEskhtj07K/MH7W5eecR9C12btlI+KOHIKbpxee+egL/Pz5QpQUFXCU1SSSa0eBWzoiTgL5/V//wfb//sXPn36Ib95+DZVqNUdfRk+7BHc/85L5GFaYlwsPH1+MmDIdq35ZgtysjHMKZRL2wydO4dsZ85vXe1VdUY6kuFMcwY6OHYj5d96LXRvW4vCuHY0KZUuhtKiIB0k9fS0jy6N2jWVrKS0uRJ+hI/i4197QPhvZN5YnyszasmIp/vxiIR67ciYGjp2IGx59lgfWBS3ZqF1na1FK9d9ffoSkE0cx/3/PcjZfW0LCOHpI8zsvZCScwYld21GYk4nC7CzkpCVj9l0PofeIhkZ2q7/7EgVZGSgvKcaRbRtZLFvKAHZbHAfaHQtLvab1EbTQ9borYHKPW3IgvlNrlFuDurwM2//5A4c2r8X9H36NTX/8hJ0rl2LA+KmIHDAYwTF9OQJ3/nVtr3rHli2X6qcfnSnVmgyePANXP/IMOoKy/FzY2dlBVV0v011qlBvj14XvQGVnj8tuvhO5GWlIPXsa/qHh8AkKafca5dq8+cDtmH3THYjqP7CVy5UWTFFqGt3W63TnHVipKCvlkoYH50g9wa+86wFMrY6uU3aDoVINZ0/L64XdGKJG+fz8segLbFuzElfcdjfOHDuMtX/9DncvbzZ0o7pEEmexI0bhwVek2ncqZclNS2my/vdc0GmRshxMEWZaFkWvD+7YigPbt/L9S6+9AXNuvA23zxiPq+9+ANPmNV07SWxetRxH9+zEvS+c37/hp08+xMYVSxEY1gM5mRm465mX0GvAIHz91qsstifMmtPsz9IeqdemNE6K8N82pUa0e/n7Iyc9HYPGTsB9L0klFZ1NRmI8vILDumR9bu39ceUPi7D8u6/47w+Xb2hRaVNXrlFuC/JTEuEUcOF16u3NsZ1b8dcn76Lf2ImYet2tsG5lgKmtvivKhPz44TswePJMuPsFwJVTvyPNtcj1KSsuRNLxo/j7s/eg12px7/tfwsMvoBXrijYn6/QJ3D1znEU6OJt0S9K1I+BkbRkDC0SJVo+QH3dY5DbrSCznG7mISTtzCrtW/YNjO7cgcsAQhPeNxdu3XYOIAYPx4MJv4Vyd6tfVoJHEmCEjcGLPDk4FIhOHjoj4cR/Lem6/3ZVN//zBt1tXLGUjn4DwCPz1xUI29Bgx7RIMGjepQ6LNFG2hNOnWCmUTphSw5mQfUJ0WcdcLr2P/lo1Y9dN3nNFw6fW3SK2BDJITtaDrQ0ZVxQV5yM3MYMEY3X8Axs28DDa2dpySSN/1C3fdjOn1yhDImbe1Ub3aEdFPX34WqfFnMHD0OFx+8+344vUXMXXefKhsbDgK/eb/7mPvABLxjUWxSeiQyB96HlM34sjundi3dSM++nMli3RK8f7kpWfg6OyMspISFuiWAvkjLHjwMaQnJfDA1YmD+9lD4LIbboWlQG7AXR3apy5ZcCuGTZmBp6+dg2euvxzv/Lm6s1ery0DOx5YMZU0t/ex9jt7e8MyrCIxqXdu2toQGq5e8/hzGzbsWo5pp1knmtRRFXvP9l5h4642tEsntBQ2qCwStQQjlToJabBzY8B92rfqbo1/DZszGnNiHseHX72Hv5MLujVTH3NW5+YW32DF74x8/Yffq5Rg7dz4GT5rRpiOlFzNX3fsIR4+DInuahSNFv04f2o/da1fhn0WfoefAIZzGTC6q7ZUGRUL5q1eew7w77kNH8/lLT5vbbAwYNa7D31/Q/vz352/YsGwp33/1gTvx9pI/OAU7NysTHz77GBJOHseM+dcjqm/bpimaOHv8GJ5d+AXcvX1wYPsW6LU6/PL5Qlxzz4O8Ho+9/REeu/5KOLu5s4Cuz+aV//CF54TL5p73Yu7rt17B3c+9wiKZ6NkvFq989T23HIvo3bdZhkYdKeAmzqm5iP7uvTdw9vhRPHvzNXjg1XcwYNRYc7YUpYyTOR+1deszZHizsqME9aiOtFEds6DrQ8GDA5vWYsWiT7nl5tUPPw2FtbVFuMrvWrmUywNHzprX4mPCrDsfxNKP30HvEWPY2FbQzG0nszAzLwtal85ECOUOJC8jjes3qFdi4tFD2Pznz7j09vvgHRyKlYs+YyfsGTffzfUj3cVtji7qyIyCpuRTx/Hhg7fhz4/fwaT5CzBtwe04c3AvogZKfUUFLWfc7Csa3eY9BwxGzMAhfIFKhjBrfvkBP7z7GoZMnIrhU2ZyenZbQdGyHWtWXbCZUmv57N/NZmOv526+Gi98/SP3jhV0H+bedBtPj1w9FxnJSbhl6ljc9vgzWPj8k+Z53Dw92fm5LV3/CVomuciSiRcNQlEtvaOLK4oLCsx1bxT1dfXwwIhJ08yvW/z+mziyZxecXFyRnZaKZz/+6rwil3qAlpeVIaxndJ3HSYDTZOlcc+/DKC0uwgu3X48Pn/5fo/Os/1vKgiGmXXkN5t/9YLc537U3VF4T0rMXYgYN6+xVEVwAdBw5vHUD/vvxGzbVuvXFtxEQ0by2jx3FiT3bMfbya1r028xOScKfH73JNcpkXnvm0H5EDx7eruvZnZDJrXiyFCxpXToTIZQ76KBIBl3Lv/yowXN/ffwO5AolJl59A4ZOm9XA6bo78ev7Um3eiJlzcHzXdrZXWPfLd8IVux2hWiJqIUUTtVTatXYVPnnmEdg7OWPE1EswePwUrsO8EJH826cfIPHUCTzwxvvoDChdm1ywv3rteY7avXDrtWweSA7Fgq4L7Vu5menw9PXni7X//voNWWkp/JxvYBBHWu9+9mUWsmQquH3tahZpl998R61loE3657p5eXPZyHfvv8X9SO948jk22DJBtdHff/A20pISYG1tzf2Wj+3bg8ffWYjy0hJOESdX7fNBgpoMnJJOxyGyTz90NSgVmyLsHy1dw+mkq3/7CT37D0TP/gPqlFOQUdlvny/k52l699dlbI7WHhhNYdhuQPTAITx1R8hvY8uyP3H7i2+1ac9vxgIitKZrQTK5WrPkG9g7O+Pye/7HXUMsDXKvTj8bh7AWGokVV3c9ufnFt6X2VdVZbpaBZewDgq5H91VlFkJG/Bl8cN9NfF8mkyOyOnrad/R4TkvJSoyHd0hYk+YI3YnrnniJa2cdnF3w/n03s0gmCrIy4daGF0nSCKgYCauPp58/Lr3hNsy8/hacPXoIO9aswPLFX3KNJ13EkuBUWCuhVFpz+teky+ejz7BRjZ7sE08dx+EdW3miGugH3/ygU/tm07rf/cIbfP+x+ZehvLgQL99zK5tkjJ81F9Ovug56vQ7+IW1v6iNo+3rkXz7/mPslxx0+yI+FRcegMDcP/YaOwNkTx1ggU9o1DfJQuvLoqTMw7tLZePrma9F/2EiEx/Tm17VFmnJ2ehpc3D1YuJ86cgh3P/sSm2zVxs7eAbOuuxG/fflJ9fvKcceTz8Pbv/Eavfru3JSCuX/7Fnzw9KPm9+yKQrk2dJyfd9vdjT5HaeU3PPwER6ApXdtgkPq6tgf0XQgsm/2b1+HMkYMIjIg6Zxuk1mJlAfvAke2bsfqHr2Br74i5dz+EHv0GWmwmBTluB/To2aK2UQSV1NGA4vn6MHcG1E7Q0hGp15aJEMrtjEkkj7viWkTGDkFY39g6F2+mNlAXA3610n1LiwrN9zMSz7apUJbJFV22toIuoKk3cnvWcNP+F9lvAE/kMl1RWgqdTssulXyr02H7qmVIijvZQCj/9dUn2L56BVw8PNFvxBjc/MTzCIqIsqgT/tSrruV2a2t//4n/3rjsL54Iv+BQPPnRF5wOK7A8qGfxHTMn8v0pc6/k30K/YSNZ/P782UcsjClC+8yt1yEkKhpnjh2Bt58/eg8aCmdXN9z0yBP47JXncP/LbyEgNAzyNmhJV1yQj5MH9+OL116EplKNQzu38YAL/U7ootCU6j1x9jyMnDKdRXV9SAgnnz2Dkwf34eSh/Th1+BCCe0Tg2nsf4ueeu+NG87wDRo3hCPbFAEWgb33iuXZ9j7bYBwTtR2FONv749APc9vzr+PSphxFaPcjVnfYBOrf+9em7cHLzQEhMbxzcvJ7bgbr7NK+FGg1O0zmNyvY6AhdPbxTl5TR7/pKCPJw+sBdHt2/i45klIlNavtyxsrD2UJa0Lp2J5e85XZz6vZMFEg8tXITn519iroWhOhZKOaSU4IuZ9ISzePWO6/Haz8u4V3J7QyPGzu4NR41PHdjLQqA+Hr5+LOanX30DBo2TBI2lMXHOlVCXlaJX7EB2Ky7IrTnhZyQncp9KIZQtC/qeivLyWHiSkzQJ0fl33c/3iX1bN6GstJg6QeGlL79DQGg4C9SnbrmW64Sp7nX6Vddi4KixKMzNxXtPPgIXd3fMuvo6dty/EEj80vtvXb0Cb3z3C3746D1uVUW/DxLuVJdMgp3SwhUKJQaNGc/11HK5HDvWrsaJg/tw+ugReHj7cLr2uEtm4/Ynn8fBHdvw/tOPcmq3Cfps4dG9Lnh7CgRdARJV3731EiZfeS2yU1MQHBXT4ihmV4AytB79fAmbt5K51ck9O7Bz1T9IOHYI1z/xItYsWYSzhw9wtw6/0Ahcctu98PQPNL/+/XtuRGZSPN5cvrlDyvPomFlZXo7i/Dw4NzLwZ2LbP79jz5oVKCsqQETsYPQdNR5Rg4TnjKB7IYSyoFNwdHHDwwu/xXv33cSpVo9eIvVbfuyLH+ETHHrRfSvxx4/gyxefhJOrG/+97NvPccNj7RtpaU1J15hL5sAvJBxLPnjTYoUykZ4Yj4VPPYKysjLzY7c89izW/P4THr9uHrvxjpw6k0WNoPMhEbn9v3/x4KtvY8b869AjprdZJNPADJl2PfrWh+g1cHCd7IVnF37JEeiSoiLzY5PmzMORPTvZnfrv777GgDETWrVOh3fvwJljR6GtrIS6ej964ob5uOXRp/HYOx/huw/eQsKJ4/AJCMToaTMR1COS25Ot+uVHTgG3tbdHaFQ0xs68DHc89QK3b6vNmOmX8ESp5prKSqkntEBwkUADlj++9zo0FRVcCpSZlIgFjz+P7gqVKE28aoE5OLDxjx/5RPvJo/fAwdUNd73xEQ8SUIr2p4/ejSFTLsGE+Qu4LCokpg8L5eyURPiFtX83FDrGhvcbgPgjBzBg/JQm5zuwYQ0mX3MTeo0YY1Fu/F0VkXptmQihLOg0yOXxvnc/x5I3a06Ob91x7UVp7vXvj9/CJzAYoy+Zw1G13z55D1mpyfxYp9FEOnV4rz482pydlgLvgCBYEpSidtvEYWyoRNPtT7+IEZOnm8XVge2bUZifh9gRY/DzJ++jICcLU+Zd3dmrfVFDInHNH79yGu7eTRsw/tLZ3IvXBH13FEUh8y7T95iacJbbRVFaNLFsybe46o57zK+hPssnDuzjMozmQGI8Jf4Mvvvgbcm8y9MLp48e5l7KQ8ZNxNmTx/Dk+5/gr8VfY9f6/zBh1hzc8r+nGixHoXDAvFvuwOS5V2Dj8qWYcvlVXL98LkhA1xfRgrbD5EwusBwSjh/B4jdeQO+hI1FSWIDD27fg6S+XcHlWVXt4LlnYLnDNo8/hzMF9yEpJxKAJ0+BT7Z1B5y8y98pJT+Fo7b71Uq9sN28fvs1JTe4QoUxQDXX84f0NhHJZcSGXa2kqynl9KR28K4jkLnEcoJJBS0p37qIljG2NEMqCTiW0V188ueg3Hknb+PuP2PrP70g4dhgGvQ6BEdGwsW+5QRRd9HY1g8M5t96DV26/jk+IFEkmAbfy+69xy9Mvd8r6UDRsz/o1GDNzdoPUKxIrsaPH4cCWjZh+zQ2wJOiEffPjz7HLro1SCed66esPvvYu3+7bsgF5ZCLnJV2ACDoPihy/8f2vWPjcE9i+9l+uz6/tKE2QazTVB1N0hSK9b/3vfn6cTL1mXHUd9zeuDaVhUwrzx889jnsumwqdToe+Q4bhzqdfrOO+TMSfPI6PnnsCASFhKCsuxtMffo6SwkKkJydynTMt58rb7ubXUS10c6B66dkLbrngbSO4cKqqLLNm8mKEyhXW/rYEKxZ/yee6fRvXIqJvLO586S34tqPRotFQBUvC2d0TgyZNb/D48q8/xua/fqmZz9ObBwnveeczrPt5Mbdf6ihIsK+vNlw1QS2f3r79GngFBPO1GZmzOnt4oitgrLKsfUDQdRBCWdDpmC5cy4uLUFpYgI//dxf//eQ3v7VKKFcZ9Fzr05WgkfRhU2agMDeHa7XJRGv9Hz9zCnFb9jxuLmMvnQuNWo1X77oBV9//KGJHjavzfP+RY/DH5wstTigTI6ddwsYnOnV5k/MsfPbx6tvH8N3mvR24doL6UHSYUppN7N64Frc+9jTfp9ZPKWdP8+BXZUUFpy+SWRaZsuVnZyKsZwx8g4KbzHy49/lX4Rvag7M0yABsw7K/OMpbu03RJy89g94Dh2D/ts0wGPR8Md+jV2+eTNQX14Kug6ERrwVBx3PqwB4sfPwBvk+/43Gzr8SQSdO4J3l7QwPvXYFLb70X25f/Bb1Oi9l3PYz1vyzm4xfhExyG/RukCHNHQGZjREFWhvm+jb0DC/cHP1ncJaLItaHuCJaOSL22TIRQFlgMlOKTcvoUEo8fxo3PvAZPv8Zbq3RHKEp7/f+ewZJ3X8Vj82ZAqVJh6vwF3L7pzhff7PD1IWEx7eoFiBk4BItefx5Hd27D1Q88BpXKGsmnT+GXhe+ya3ZX5dlPv8Gr992G6NhBnb0qFz3//fmreRu8+f2vyMvOwtLFX+P4/j1IOhMHn4AgjJg0FY4uLti8ajm+e/9NhEbF4In3Pua6Xkr/27p6Jd/vPWhInd+Ug5MTG279+sXHLLDHzJhVZ3sv/fZr7l1822PPYPikqQiP6cWtiwQCwYWRHHcSyXEneEAr6eRxrkMmbnrqJQwcN8miOiVYCnkZaSySieghw7Hxtx+QEnecgwiUnp2VnNih6xPeN5ZNxob4+HE0e8lrz2DI1Eu7nEjuMshl0mQpWNK6dCJCKAsshsDIaAyePIOF8uJXnsKdr32IyAGDcbFAJx8Sy/PuehBfvfQU/vnmM3YFTTlzCkERPTtlnYIie+Lpz77Da3fdgB2rl8PG1hbfvPEiP/f81z+iK5CRlIi4IwdRVJCP4vx8ZKUmIS0hnrft8X27UVZcxD1fBZ3DhFlzud6YeHzBVeg7dASi+vbDrOtuQmTf/rzPmQiPjuGI8NE9u3D/5TNZ/Bbl5/Fz8++8r45QJtb/8xdWL/2D75MTtWlZVBd98+Sa1mdxRw+JVGmBoA35+uWnUFDL0d07MBjDp16CQeMni+1cCxro279+NX5+95U62+Xjh+9Ar2GjYW1riw2/LcHMm+/ijDuaHKtNPzuiTvnUvl08cL/8q4Uc8Y49h7mXQNAdEUJZYFGjqVq12vz3509JaVrEdY+/gPijh3DF/Y+hO0Oj7HYOjlynvG3VP1ynTFH2zhLKBNWMjrpkNvZtWsf9r+947jX89fWn6Ars3vAfflz4LgaOHs+9n109PXH2+BF4+vmjtFhySm7PntWC80PO0N9t3IXMlCT4B4dyNkNTUFsoEtbH9u3humRTa6UFD/wPUf1icfb4Me4NTjXJOm0llEolpwpS2t2xfbuRnpTIpl2FeXmcvk2p1hNnzcXMq68XX1U3xdjVDCu6CS8vWcoiMD8rAw7Orux7YXFtHDoRKrH6+Z1XcHTHZnNa8+w7HkBARE+cPXIA+9atwmV3PsAlJ2/echUuve1ejJg5G2t//hZz736kQ9YxvO8A/P7B68hMOIM7Xv8I3kEh6LpY3j7QqHmWJRloWdK6dCJCKAsshs1Lf8X25X+a/6aeyuUlxXx/yZsv8G3amVN4aOE351yOlNLVtX/gJOpIzDm4uGLwhKmdvTqYdPnVPJmOmx3VGopqVNPizzRykmv4/dZO5aMBl+O7t2HPlk14/P3PuC8v8b/5l2H6Vdehz9DheOWeW/C/dz6GtUoI5c6GeiIHhkm1eOeC+hl/+87ruPyWOzBq6ky89uBd7Hy9acU/2PbfKiiV1uyerai+dXd3w13PvISYAYPw/lP/Q2hUTzbm8vLzP6cgF3QfZDLxPXfetpdZRAmVlYXtA8d2bsU3L0o+GcOmz8JldzwAlU1N5syXTz+IO99cyO2iaJDPdKwaf8V1eOv2azBm9lXw6IDtSkZdVz78NGKGjuQ2nl0ZKyuRRixoHUIoCyyGuXc/jJzUJJw5tJ//prQjv7AeOLx1A1LPnIJeq+XbN2+/Blc++CRCY/o0uhxqCUOmCF2dnrGDcduzr0JVK/X0YoJE8mcvPME1pPYOjueMErHTeS3kchk8vXzw3GffmNOqKfpoMBgw9tI5uGXicH7sr0Wf4+ZHnzb3rxZYLrs3rmN3arp4XLLwPfz4yYcsfN/9eam5Zo72A9OACUWz8tJT4ebrjy2rlvF+FN1/EHwCLaulmaB9kQsjtoseS9oHju/ebhbJM2+609xbuTbUu93VU3Ly16grzCLV1sERY+dejTU/fI1rH5eCB+1N7LjukSovU1q+3LGS02RlUesj6MZCeXJIOpyczt2/srtihfZphyGzan8n6Qnf34vyMjUKi8rw8IMLEeauxl8/PYSs7ALceP0rqKoysqnEwofvwH33X4477prdYBk5NiWwt5fB0dGmS2xXq6a2ayDZS9NP9Ejrltsezt/t5SZeb7k6nQGPPv4dvO2N+HH5g1AoWnbELi3VoKJcA2+vE/x3Wno+1v29CSMGB2DJS7ea5zu4fQvWu6vh7u6I4cMi0ad3EBwdbFlodyjt1bqii7m/n4uYyVWYFPM/uLrYw8XZDtbWptPXVv5/y/ZTeOCR7xATHYA+vQIRE+OP3DwN3vt1E3qEeeO7z29ETDT1XZZSHS8a2iOS0oXMfM6WFKOHd07X2K7tFPUyttdyjW2/XCPa/uo8XpeL0ODOd76mwbuHpz3K9zdtWQgPTxrEjW8w3xP6/7N3HtBRlF0YfnY3vfdC7733DgIioAhWUOyKDXvvXazY/bEh9i6IgiAoioL0XqT3HkjvW+Y/95tNSEIgbZPsJvOcMydbJrOzu7Mz3/vde9+by/CmB9V1aI92mMhQL4Y11FtDDbytG6NGfEO9jD9p06ZxtX6unsTGNN3Lwq0xUq/dkhorlA08E29vL8LCg9Xy5ddP8PijHzJ0yF3UqxuN1WqjSdO6REaF0rNna9at20lGRhaBgbUz4lpajh5NZt68NcTEhFKnTiR160YQHh7klq6jhw8n8d0Pi/nqq79xaBojR3TlvNGTyMnOJTgkgOAgP0aO6ML4yweWeps7dx1l5PmT1O2ZPzyAf4APzz9zGV9/t5jVq3fx0896e6ip0xaov088djHjx/WvpHdoUF4CAnxp2Ty+0GO5VhsHDybRqGEUPbo2JSTEn3OGdlAD0oV//0durpnJL4ynY4fiW0gZGBgYVAUpyek8/ZReNvbJZ486RfKpyLlLlrzJ2syMbAIC/Fi6ZCOvvPQFR46cIC01kwnXTmLxsg+NL8/AbXjhhReYPn06W7Zswd/fnz59+vDSSy/RsmXL/HUGDRrEwoWFJ6tvuukm3nvvvfz7xY1Nv/76a8aNO9lGsioxhLKB2yIXh1dfu43Vq7bx8dRZ7Np1iODgANav24mPtxcxseGMHH4/s+e8QlCQIZaLkp6ezapV27nxpnfV/REjunLoUCIHD56gSeNYpk0re6S2MrDbHSz6ZxNff/cPf/65Mf/xvn1a0bhRDFeOH0hIaABpqVkkHE/lzrunMnp0T4ICS84Y+P2P9dz/0Od4e1kYPLg9LVvWyT8J33bLcI4cSeZEYhpt29Tn2+//5dnnf2D2r6tp2iSOXj2aV+r7Nigf+w+c4KnnfyQzM4et2w/j5+vNgH6tqFsnQkWbV67exVuTr1bH1b79qTRuZDia12bccD7QoIqprkNABO/iRRt46IH3SElJV489/OiVdOt+enPOd9+eTo+ebfLv68EAP774bA6XXT6MEef2Zs3qbdx608usXrWVLl1PihADD0fSrt0o9bqs+7Jw4UImTpxI9+7dVencI488wrBhw9i8eTOBBcz8JkyYwDPPPJN/PyDg1Pr3adOmMXz48Pz7YWHVdx03hLKBWyOipmu3lnTo0JSJt0xm4cI1eHt5sWfvEfz8fDhxPIV163bQt+/JemWJRHqCwWFlXpxnzlzKG6//RMMG0eqxd9+5maFDO+XXcd5y6xRefPEHhgztSGhIAG3aVF/d5vgrXyMlJYNjx1JUpPuhBy5g2NmdVATxx+lL+PmXFURHh6iI8pw5q1TKbeKJtDMKZfn6JU1/5i8ryMzS+1I+/shFhWYqU1Mz8fP3ViJZ+OSzv7Da7KxavYsnn/6W32Y/VgXv3qCsbN12iEX/blW31y17EZvNzofTFqhJn6vG98//PgW7oxafCAwUdrtxDNR2qvoY2L//GA8/+B5r14gRpc6dd1/CmDEDiI45/YB/9qx/mTtnGV98rbdgFDIzs7HZHWzetINXX79TjXv69e/IvAVvER5e2LvD4PSocaGbI+MTd/LXKWvW4dy5cwvd/+STT4iJiWHVqlUMGDCgkDCOi9Nr8E+HCOOS1qkqDKFs4BF4+3gx5sIB+Pr58NLLt7Bv31EuvlAXMmtWbSsklG1WO3aH+5xsqpK1a3fx/HPf4OvnzfvvTaR165OioeDJb9Kkq3j+uW/56KN56n9mTH+UBk5RXdVp4WvW7FK3r7n6LG6fOLJQdsATT32NzVa4znbhgmeJiws/43Yddo209Gz+XLiJOvHhhIYGqMhyyxZ1aNY0jjVrd/PjjGW0a1ufoYM7sH7jXnbtPpr//3v2JrBn7zEaNYxx+Xs2qBhDzmpHl06NSErO4NGnv6VRg2j1nfbq0YzoqJBC6+Zaa06NtkH5yM2tHG8JA88hN9dWqdt/4L7/8evsJac8funYwdx86xhiYs58vRLWr9vBKy99xbTPHiU07KS/TkZGNv9t2k3zFg2USM4jLi7She+g5mM1zgPlJjU1tdB9X19ftZRESoretSYiorBZ6pdffskXX3yhhPCoUaN4/PHHT4kqS2T6hhtuoEmTJtx8881ce+211VYuaAhlA49h8JCuvPD85xw/nsLhw2LKoxMeYcyqHj2axORXp7N06VYeeXQs55zThayMLGbMWMKuXUe4994LCn2WEeFBTJ58vbr9wIPTWL1mZ5UL5Y+mzueVV2eo2zOnP0SrVqe2u9i0/i31d8nSrdx7/ydERYWoqPOZyM21KjM4fz8f3ph8LQcOHKd7t2ZKOG/depC16/bQonm8qtneuGm/WoQLx/Rk+k/L1G0/P2/27k0whLIbIhfLTz64mR27jqrvaM++4/z+50amfvInP359d9UbsdVg9PT14yqKv2XbIf7bepDlK3aqtPctG94o98BF/l8yRooi2S47dh5h3fq9yoxRTPaiIoOpEx9RwLzNwMB92LvniEqvLsiHUx+kd592pd6GjGfuvuttJr14E40bx1MwEUZqlIee3YONG3fyy8//MOp8wz+jxiLXLne6fjn3pX79wgGXJ598kqeeeqrEzMa77rqLvn370q7dyd/C5ZdfTsOGDalTpw7r16/nwQcfZOvWraq2OQ9Jyx48eLASz/PmzePWW28lPT2dO+64g+rAuPIYeAwymzrmgv6MHH4fv//5ppqtbdOmERdfeha1mYULN3DXne+T5UwxFtOzhx76hIV/rqdnr5asW7ebPxasU5HaRx6+RM1QHzqcxJHDiezcdYS//tqgf7aje1XJ/q5fv4f77p/G3n0JjB3bj6efvAxTCbnyvXq2YOiQDvz992aWLd/OgP4na7gKkpiUzq0T3yc2NpL77h7N0MGFW4gVrDv++5//VLq3RJnfev1azjn3efW4pO4GBvqe9jUMqh9fX2/atq6nljyBde1N7zN95nIuubBqjmNPYsOmffw6Zw0ff/YXLZrF88Unt6mSi6JRNyk9mPPbWjWZJOJYRGte6YIwoF9rsrNzOXdEl3KLZBlAde7xAM8+NZZLL+6jvrs/Fmzgr78388+i/5TZXpdOjdX57PiJNI4fT8NsNvHtl3cTFFT2TgZbthxg3br/6N69Oe9/8Bvnn9eDgQPbUtnI+1q5cgcffjSPhX9vUo/JhF3Pni3o0KEx9epGqMwYMTD8cfq/3HD9MGVUaeA5zPttuerOIZwzvAfjLhuq6o/L8tsQIXzbra8xYcIo+hTIjMt/PjObY8cSadW6EY8+9B7NmtWndZtGLn0fBu6BpF27Veq1c1/2799PSMjJbK3SRJMlIrxx40YWLVpU6PEbb7wx/3b79u2Jj49nyJAh7Ny5k6ZNm6rHJcKcR+fOncnIyOCVV16pNqFs0oo2IK0BKQKhoaEcTfzbaA/lge2hSuKvP1dz262vq4uROEcWx4H9iYSEeBEWdqpBgEe1hyolCQkpKmrapEkcL734vRKLgwa2Z8TwLoSFBbJz52FVr7t8xTa+/fYfYmLCVIQmKNiPTZv2qSh0Hj16tFBR1IaNYlR9c8OGMSrSnJ/yVaTdkBiDrV6zi1HndS9xP5cs2cI11+kRYtmv+b89TUjeYL2UbYyefe47UtOyuP++McREFx5USnTxxpv/R3JyBtk5Dj5871Z6dCu923FiYjorV+1k8ZKtXHfNWfn13VWC0R6qwoix19UTphAfG8akp8eqrIGt2xNp0yqK2sqGTfu5+PI3VDstcf5e+M9/6nEpR7jh2sHq76ABbdi15xgjR7+onjtrQBuGiPFdizo0bxrHk89+z8xZK1XK+zuvX6v3rK5ge6jnXviRz7/8m01rX+OH6Uv54qu/GX9Zf/r1bU39epGnOJsPGPwEP3xzL/Xqlj7ddP/+43z1zSIWL91L29bR+dkin3x8O717ucAA6Qwtl9LTs7jzro9YtFj/vMWMSYZaEkk/HQt+f5a69SrnnFPb20Nt2niI1m1d78MhRltS6lUwVbosyKT2vXe/TWxsBI8+fnX+444Cn6s4XX/+6Rwuv+IcvvriN/XY+s1flvm1ant7qJUrttG/9ziVDlxQ9LmTbjn2xEhC/Nyn53dqtpWYZ34t82d22223MXPmTP7++28aNz5zCzMRwUFBQaq++Zxzzil2ndmzZ3PeeeeRnZ1dKpHuaoyIsoFHkZCQrP42a1b3tOtI9MEdWx9VFtHRoWoRJr1wzSl9lJs21VvqNG9eh4z0bE6cSMNsMTN9+hLVTqcgE289lwMHj7N3zzF+WbdbRX337UtQ/yuGYNFRwaeIU4kOy/L+lFsYNKjwjLgMDufNX8sdd+ptLCQt9rc5T1G/ftnFi/RWlv974aXpyuDr3JFdadO6PgcPneDgwUTVK1lqiwU/Pz/eeHs2X316a6m3HxERxLCzO6rFwPOQ1lGL/3iKMWNfI8MpSORcUFWkpWWxeOk2jh5L4erxJ41Lqou16/cy9kp9Yur6awdz43VDWLZiB6vW7MJuc/DzrJVqnV9+fIBRF72s1ht9XjdenjS+0HYaNtTF28FDibpIriApKZmqlvyyS/vy5DPf8dfCTXz1+Z2nnZj6bd5aOrRrWGqRLBHrlyfPZMvWQ2zefIBxY4cwfnxPFvy5gTm/PqHKTioTEcmXjntFTbzJJONTT4yjb9/Wp5SHyDlr/4HjqpSkfTujfVllYq4kJ+GKtKbMyspR0Wh/fx8efPiK064n18zRYwbw0CNXqU4fB/dXQk/wWoArzl2Vjoe7Xmuaxu23386MGTP466+/ShTJwtq1a9VfiSyfaZ3w8PBqEcmCIZQNPIoTx1OVOcZtt1902nXE/bYqB8iews+/LOPHH/+lc+cmKqr88dQ7+ODD34iKCiUxMU2lXv7553ruvnu0iiBLfeJv81YzYnhXPv54Pldc+ZqKxsTHnzRm6NOnFatWTOb80c9z0y1TTvvaEkH+afrDhf63NCnaUsco6T/TZyxl5s/LSUjQTSXat2/I7F9XqdYv3bs1Z9DAdrz9zuz8/331latp3fL0kykGNRMZVHp7W0hOyVT3fXwqP4qSk2PlptunsmnzAXp0a8qadXsY0Le1EqSjRnZRaeLVwetv/6r+vvbSlSpVWujZvRnxcWGc7SwzGHdJHxo2iOLh+0fzwiszVeRYUqt/+329WrdB/SiWLt/Okr+eVRNJruClV39SkwqShiwZJVeOH3CKSP7+xyX8/c9mfHy9mTV7lXpMzPakrV1JzPt9PatW7+baqwYRf1s4waHSNiyImNgwHnnsCx66/0IaNao8kz6ppRbxI+euy8b1P0Uk6+t407hxrFoMKh93q2+XLg+Sbt2seT0ee/zqM/oqHDl8gjp1o5W7/3XXj6rS/axJ+Hh7QETdw4XyxIkT+eqrr1Q0OTg4mCNHjqjHJVoufZUlvVqeHzlyJJGRkapG+e6771aO2B06dFDr/vLLLxw9epRevXqpgMf8+fOZNGkS9913H9WFe509DAxKQHopDzqrs/E5lRFxln700c957rkrGX1+TxYsWM8FF05Szy1d8qqKaojp1113f8iQ9R1VCrbMDt5990dMnvwTv819Gj9/H8Zf8Rozpj+iXKTzkNrnBX88p1K+9+w5ys6dR3js8ZOpYX/8/mypokEyEJBFRLq89tXXvqXqI6U/rgjj2NiwfKG8YcNe9VcG2nPmrua//w6ofZJa5mefvozw8BAyM06f5mhQc0lOzlTR5apCJubWb9zH77MfUdFKEZzjrn5L9XoX0fz8U2Op6v7pDz/xjfo93HHr8HyRnEdsTCivv3IVv81fp2q8RchfelFvNm4+wC+zVymRLEj0eduOw0x56waXiWRpvSbCe/ZPDysxWVy0eenybbz6+i8899RY1d6rf9/WbNl64JSa6tPxv/d+4+EHxuSnV+/YnaKE0vTvH+ThR7/ggoteZOm/L1XaBIaI4Cnv3sKl414u08SgQe0g4VgyN054mbPO6sztd158xuw3uR4uXrSeTp1bcNOEF3n5lduMOnYDt2XKFD1YMmjQoFN6Il9zzTX4+Pjw+++/88Ybb6iUazEJu+iii3jssZOtOL29vXn33XeVgJZxYLNmzXjtNanhn0B1YQhlA48TytdPOK+6d8Pj2Lc/gfj4cFas2KaE8sMPf8prk69Xg8U8F2mpcZZUwbT0rHwB8NRTl/PUU1/Rt+8DREYFU7deJP7+hQeYYrqzceNelq/Yzltvz8p/fPYvj9OsWekFy6XjXmXT5v00bxavooL16kfx6MMXq/TEN9+axYQbzub9/93Mgw9/xqLFW9T/iAA/Z1hn2rSud7LeWaXBGiK5NnL4SJIaXIpRktTluwLZ3sxZqzhwMJGhg9vRplXdQoNbiQaJ4Ny2/YhqUXXFZf1Une2Fo7sz7uq3+X76Mi65sCdVWZc8748NXD62D2NGdT3lefnNjzynM5pD46XJP7NoyVZlkNeta1PefeM6BvRvrUS+RH0/++ofJt45lXPO7sjNNwxVk1UVYe68tQwf1qlYkSwZLT36Ppx/X+qLp3000XmvZA+EPI4lpKiSjKJM+3SB8kn4/LO7Kj3KL476s35+DH//6kkVNHBPpK3lTRNe5rLLhnLVNSNKXH/7tv3UrRfD2/+7l6kf/sJllz7OS69OpHMXfRJo/76jKoW7RUvX118bVD3uauZVWkqyvBJhvHDhwjOuM3z4cLW4E4ZQNvAYpPZs396jNGrkHk3IPQkRx59++gfnjzo5YB84sH0hF9n589eo1OukpHRysq2MHNlNpT8//thYRo3qocxxmjWNVTWY4qQtqdnSB3nyazMLvdaPPzxIu7alq7mTbXzzzT9MeW8OCZJWf+Mw6tWLol69SBUdFkEiadcP3HcB/fq15oYJ79K7d0vuuXs0vj5eZRLiBp7Fzt1HqVcnokyiZuXq3XTr0tgpZDUqMuSQi/6ChZt47c1fiYsNpV27BjzwyFdk51i5ZcJQLr7g5G9p+NkdeOjxr5l40zAuOL+bEsvCO69dw+XXvEOb1nXzHborm/+2HOS6qwfx4D1nTtOUSLMYdm367wBPPXbxKbW7wcH+6v3Ie/nk84WMuXQy547ozI3XD1G1kuXh6isHcullr9G3d0tatKhTqO+1lMtMvPkcvp++lAfvG02/vq3K9RqSLv7X33r/dGkvZTL58eucVXz73SJ+/ukR9VhVULAfvEH14g7SY8uWvUy85TXuuPMSRo/Rzw8lsW7tNjp1bq7qayfcNJr27Zty391vERkVRqPG8fz91xrOH9OfRx476U1i4MF4eOp1TcUQygYew6FDx4mMCsHX99RoREEcMqtVo7zcK470D05NzaRbt2bqvpe3Bbu9sIv3TzOXcv75vZRh1pQpv6raugV/rOOB+y8kNDRQLQsWrOWBBz9VkWfpUywpjf37t6FJ4zjlgC1tlUorkoVHHv2cpcu2cs6wTsqlO2//CtKhfUNefHk6ge/4MmZMT269eXiJZm3y9bsqomhQtZNhCxZuVj2RDx5KUo8N6t8ai5cZi9msZrjz/ppNJhXN1R8zKaH179LtSszlIam7p0PSomfMXEFKWpaqx5VocOOG0erYWrVmN6++MYucXBuPPjiGPr1aqP+5+7YRyl372hvfU/+T59A8flw/OndsxGtvz2Ha5wuZ9t5NxMaGKtH2zOOXcNvdnygxLZHuMed3J7CYHsKuQMT98pU7GTm8U6nWb9Y0Ti1nQlKe75w4gqvGD2Dap38x+uJXGX1+NyZcN7TMolMyQK4cP5DrbpzCLTcN467bz81/TjJY7rhtpPrMfp27hvNGnhoNLw1DzmrP198uxt/PW/V+PvfcPqxdu5WkpIxCJSMGtQe7vfKvBUeOJKrrYUREYXfgtLRMZv/yL+9N+YmnnrmOQWcVLoUo7je8auUWrLk2Fv61hvPOPymqe/Vpx5z5b7B71yF27DiANdfKvN+WKbOvtu2aVNp7qwmocaGBQTkwhLKBx7Br5yGaNKlT4nrSrsHuMGbCCiIp1717tcp3fizO3OTdd27Jv1D/8styhp3zBOPHD8pPzZbHv/t+MX5+3hw+lEhERDB2hwOH3aGizZICPX78wFJ/n9JjdNXqncoF28/39KeiK8YPZNCgduzadbTUvY0ddg2brfrbmRmUHuUWPWEK4WGB3HDtWapN0a7dx5Qzsxx7MtiVwY7mcBS4renHoENTIrt/31YMH6qbggi51uKPgRk/r+DtKb8p8RcdGcyylTv59POFqiZexKz07xVRPHxYx1PcUqX+ecK1g3nx1Z95941r8x+X9P+P/jeBqZ/+yV0PfMZnH92qSggGD2qrjJ22bj/E6+/M4ZkXZnDbzcO4/ZbiW2GUF0ldfvjJb0jPyFav6Wrke7nnznO55sqBfPTpn5x3wYtcOKanctQui5P0DdcNUX2d5TMpjhHDOzP5zVnc++BnDB7Yjv79WhUqqyiJmyacrRbh70X/sXLVQe68/VyVji1i3KD2Ib+NykR6HV9/zQukpmZwyaVncfW1I5WY/eH7P/lzwRr6D+jIlPfvK1X/Y3FNv/aqZ9W60dFh9OzZ9hTzQBHQK5ZvZtlSvT/3f5v3GEK5BKy5ldPe06VIGzd3cueupLZynoYhlA08BrlA1Ka2T66kZ8+WfPb5AiU4Dh9OUr2GT5caOHPmMhWde+ONCWzdcoD33pvDokWbWbFye/46HTs04rtvH6hQ3eczz33Lww9drPdoLqGPskSiytJD1cDzkF6/0hu7SeMYBg9sq37rpYl4lofPvvyHSU+PU1FkIS8KfeRoMtt26LXGUqd7OsZf1pdvxZl58RYGFEkRvu6qQaxbv09FpMVNWpDtydK0cSzX3/IB77w3j/kLNnDWwLbccPUgleZcEcTlu+eAx5VA/vi9myrV5VeMvR64dzTXXn0WH338B6Mvepl5s6Ue98yZPnnI5EHnTo3V5FpxSKr9zB8eUOnTc+et4cFHv+Dn6Q+WyvG6KAP6tSYiMoZ2bSvP5dqgdiPu1RJN7tGzNbdMvIAP3pvJ0MF3Uq9uNBddMoj7H7i81H2WT5xIYewlT6rbV141gkOHEnj6qamcP7q/ikRLBs1D979LULA/190wijffuYeAgJPlUwaejcliUou74E77Up0YQtnAY+jbrz1PPfExKcnppb7wGOhILa/JZGb79kP8sWAdF13Yp9iWFJKi/eBDn6jb11zzBldeeZZKvZSonSDR5CvGD+LGCRWLhp1ITOPw4UR1+7d5a5RZkEHtRgTSe29dx3kXvarSm1u1KDl7pLxImvS27YfzhXIecbFhaikJEdGSUn3Pg58zsH9rbr3xbOXOLojAn/T0WC66/A0VwWzeLI6Y6BA6tG9Avz4t2bpusop+b95ykB9/Ws6lV76lItNNKtCyKK9/+NGjKeRabSUKZZkwW7xkKxs27iczK0cZ8kkGxrhLetOqlG3VpL744Qcu4MCBE8z/Yz3nn9et1Pt70ZieXHbVm3z/wxIuubh3sWJcotXyme7YeZTF/27lvQ/mM/aSPnTtYqSYGlQ/YqL16bQ5rFm9XaVU9+vfQZm3PfbENdxz7zj8pbVhGSf2pTXb8YRkdfuRh6aotOvhI3rx/bd/8NKkzwgLDyYyMoRJL956xpZSBgYGrsP4pRl4DDJzOmBgR377bXl174rHIRfsYWd34upr3uC77xYxblz/Ytd76umv1N/o6BDuu+8C4uLCmTVrhTLdeunFa1i+9FXuv++CCtX6iUgYMPARZTB268T3uOPOD5XDroGBpON6eZkJCnRRlKRIXdrm/w7w7AvTmTNvnTqmK4L0TJ7780NKzF0y/k2emTRdpY8LYpL3wTs3KC8AqRm++8HP+WX26vz/lXTudm3q8+QjF3H1+AHccc+nFdqXTh0asmXtq3Tp1Ig77/0Uq7X4NMPMzBy+/m4xI8e8yJvvzFE+BZJS3bRJrOqnPGHih7zwyk8qfbu0iJv+eme7ttIiQnjq+zfzzpS5/L5gw2nXCwz0Y+++BL75bjFt29TjznumsXL1zjK9lmFYYVAZSKr17j2H+fGn5zl7WPdCDucBgX7lyn6Lj4/EW0wqm9fLP/5HntuHD6Y+zNRPHuPsYT14/oVbDJFcDjRPMK4Rl2l3WwyMiLKBZ9G8RX1lYnEmJG3YSNE+leuuO5uzzupAp06NT6m7zENaRklU+cCB4ypSZLXamDz5etq1cxp0lZAiXRybN+9Xhl27dx9lz55j6q9w7FgK48b2p0uXJqetVywvMkZxp1Ifg9JzIjGdSBf17ZVzgaT5f/vjUn6YvoyMzBwuGtODn767R/UTLg0iGv/+5z/+WLhJuXDfdduI/POLCHqJJo8f15ePPxNn6NdUSyapYRbhKXXOwv2P2Pn860WEhwcybEj7Qr+/+Lgw4uNL13ZJIsHSpupYQqqqlS7oWi/13GLi9dTzPzJs1Au0aBZHULAfIcEBBAf5q8jx7Dlr6N2zOS88cxmdOp5aL3nhmB689uZsRo5+kZ49mtG8aZxq1ybp75JZIoNNqQfPtTn4a+EmZsxcrnoff/nZHZQVKaV4/383csNN76m0e2lPVZR2beurVPycHBtXXTFQ1YHfefc03nnzepW+XRpOd64zqD2YC6SQSh9jGUN079G6QjXru3cf5uNPH9FLh1yEcre+8Xzm/rpU3f/x+z9VKygRyw0bxXHTLRe47LVqGx5xHjBcr90SI/XawKP4Y/5K7rjr4jOuIxc/GSAbFEZMufKMuU5HfHyEWlyBDOo/mjqfz7/4i1Hndadjx8aMHt1T1RrKfhSazCiHAD8T8v0bxj2e6UMgQqy09a4l4e1t5ulJ09m77ziPPDCabl2alHkSbfKbs1XLpUsu7MWX3y4mMiKYq8YXzsgQESmi+OrL+/PhtAWce+ErXHpxL667aqB67pVJl7N0+Q7eeOdX3v/oDyW2B/RrpfZFzMo6dWh0WpH++4KNStw++NjXbNy8n7DQQKKjgtm+8wjxsWEqtfvosVQOHU5SLZHk+a3bDqv7wkP3jVafaUiIPzO+vZe4uNOLctnXpx+/hGuvGsTGTfvZvuMw3/24lB07j5CRka32N895vHu3ptx+63DVxq28aaCS5v36q1dz172fqDTuwWe1O+W7l/7uv81by1XXvqOEvyA+C6UVyj4+hoFXbUdKEaSH8X33vMuxo4kqO+2CiwYoUVoe465vvv5D3XZ1P+7cXCtz5yyl/4BObNu2X/VHnjd3mRLKBhXDx9s4DxiUD0MoG3gMEt3877+9tGlbugGSQfUi/Zjffmc2v897hphSRu8MajeujCbnuVtLLfInH9xcbvEtBmPi6iyR6FYt63DvQ1+cIpQLphQ/eO/5XHPFQN6b+jsjRr+k+hBfc8UA2rSqqyLB0vbqxts+UlkUX358K0eOJKv/K46PP/2LL75epMRpcnKmeuzPOY8p8y9JHZf65tlz1+aLgexsqzLLEs4a2EbVeV95ef8yTxo1ahitltPiwuhM927NuHL8AO554FP1Ofw1/6lCAiQjPZunHr9EPSaC/I1Xr3G5QDGo2WzZvI+XX/6C2++8mAsuHMD0Hxcy9cNZZRLKmRnZfP3V73z+2Vx692nH198+5fLMtdWrtuHt7cUdd4/lznvGkZGRxbAhdyhxbph21XzkPC+Lu+BO+1Kd1Fih7Lt+Nr5BldOr0u1xGi95zHbLcLAO6xrHrLemcOWwU/vt5mFJdWCy2DH5mTzi/UuLm8rZbiXsbwnbtNod/LbqCH3bRBEW6E2wr4mcf+biiCyhptnF++rIAUe2HUegB9QlVepv1kPev+BwMH/RQdpGmnHMm1nhzf288ij/rkjlw6sa4fvPHMr7CddPOsafm0/gaJrN8S2J1Pez4/j9lzP+j0jMx3v4cF2ztrz080qeXbGWYD8vBjTyZ+KNrflnayIPf72FZV//zD1dYrl6yjIiTuzj2kH1C21nXHwu3zhs3H9uUx76egsdG4aQ/fuvBAaLU7ymor4+Xib+fLw3/j4W9fuzOXvGRgTJxIANFs4u93s/LS5OY/z9pxXcfV5TRnaJxXtR4e/KP/0ETz37vb7ek33wXnS4TO9HS/HGsa8SfgeVkcpZWemhlbZd1w+kTS7e1+/+2sNnfx3ljRs70bVBMv98/AHvfLSSj+7vz9E5X/HRrK38tuIgseH+NIgNpEFMEC0bhHJe7wb525jxzx4mf7eBfu3j+OKBXjSKC4bjy6F44/Zyc+ifXWzauJtVn39In3axyC+4W9Mwln72EcN7FD43lBlPSD2uRLz26BONbo1k5riTSZs77Us1UmOFskHN5NoRLbjrnaVcPrQpFmO2y23IyLYx6bvNzF19hMwc3Ujo1pHNqBPhT1RILZ2wMijzMfThn/uZduPJPsgVYf7G41zWuyHhgRWLPjaM8mfnsSzW7ElhxsqjNI0pvZFd3Qh/nh/biuEvLuP6QfX5cvFBJYbHdIujTd0gGkUH4ONlZtrNHbn6f2vxspi4ol/d/EhVVLAPqVk2JZL/mzyo0LYzc+34eZuVVnn6x228eXU7/PG89MITabms35vKx7d2JtDv1CHJ5Gva0eGeP9XtZduSuLBXGVtpGUGRWsWxpCz2J2SSkpHL3xuOsmZ7Io9f3YuuLUNITM3h9reWkJ1r57XvNrBxdxLjBjdhxrNDScnMZd/RdOavPMhvKw7kC2UpIXr9h428c2cfOjWr3BaFFw9szNRftxEaeDL7pUmdYLbvT6m4UK7lGKcBg/JiTBcYeBRtG4UTHxnAz4v3ltbo1qAKBE5Cag7Tlxyka7MIXruhk3r8tzVHeG9iN3yrqTbIOA48i8m/7iYhNZftRzJcsr3YMF9+XHGU7NM4QJdFKP93MJ0Xf9lFvQg/rh5QuvZJeQT7ezGqS6yKIku09+25u9XjLeKDlEgWokN8mXZLJyb9tIM29y0kKT1XPf7Jwv1Y7RoNok4Vh4G+Xix9ti/DO8bQtl4wnohEwK94axWvXt22WJEseFvMPHlJSy7pXYcv/t7vaYlQBlXMzW8s5ZXvNjLz3/3qN/LVI/2JCNF/P6mZuUokC52bRzL35eHcfmFbYiP8aVEvlKFd67J1fwrtmxT26ejVOoa731nKj3/vUcK5svhr7WGiQn1p2zhc3c+12fnl332M6us00zSo2clVlgKGXm6xVPcH4h4YEWUDj+PxKztx7Ut/07FZJE3iTx0gyrjYbkwBVRlPf72JX5YfUrf/2ZTA42Pb4Ott5uM7uhOu0j+rHsk+tTpkDtkTro4Gwjkdovl6yWHu/uI/BrSOIKACJkxHknPYfCCdJHsAWbkO/CowWRPk58Xml/uXuh5RHKGTMqxqSUzP5VhKDnPWHeNYSi6vjm/NOR2Lr/2NDfXljava8Mz07bz48046NwohJdOmnkvJsPLxn/sY27tOIUH5wsydTF9xRN2+pGd8tf3eyovJ+d56NT+zgeC4fvWUIVnn+/8q82s4dZFBLZq47dEqjnaNwujbLoZAf29yk/TrQHqWjXO61+WFG7sT4Hvq8FdSrLfsS1HLs9d3VevI7/7lm3uweU8SD36wQk1ujepzMi3blXzy23auGd5C3d51KJVZS/bRqkGonuptUCGsNvcfC+SZJboLRvcYHUMoG3gczeuFcv+4Dox/7k+S0nK5dUxr7riwbXXvVq3lvO518oWyMOyJhXRoFEqkkXJtUAZ6NA1lTNdYflufgJ8z0lpeflh+mJZ1Arl0QCvCAyuulEoaMGzcn8q9n2/mRLpVRZykPl9qhCXte8m2JGwOjQu6x3Ful9gzbuecjjG8/utufl51VC15pGTZeGXWLtKy7dw54qSZobzHPPaeyPI4oexlMdO3VQT//HeCMT3iS3Syr8xonkHN4JlrOrF6eyK/LD3AbysP8fbtPdXjW/cls/NQqhornG7i7OfF+9Rfb4uJRz5cyfAe9ZSwlt9/m0bhvHpLT254+R96t40hKtRFvd4l0p2Ry4tfrVd/B3epox6b+PpilXZ971jXlKIYGBiUD0MoG3gko/s2pEvzSM6+by7/++k/bhvTxmgJVU0MaBetIsg51pM5ji9d29GoITcoEzIYbRzjz7UD66nfshxPh5KyybY6aF23dE7Yi7cm8r/f97HtSAYf39jBpTPidofGpgNp2B3QuUnhFktxYX4kZli5qGc843rXobGzjlnSyG/8cD3PX9qSjo1CSvU6fVqEM6xDNHeNaMzvG49z56eb1OPt6wfTILLw4PyyPnW5qEc8HR/8m8VbkuhQP8TjzoNDO0Tz6s87SM+2qYmEM4l9eW/yPRj+FAano2fraLVkZFkZcv885q86xA9Lk9m55wBdWkTxwS9bOJ6STbvGEZzdrQ7jBp/s3z31gf4qvdrby4ycOsTAS1Khu7XUs0Ba1g9l7OAmPPvZGt68vXe5v4TfVx3knv8t49OHBqpa6qc/Wc05Perx9eNn5R/bYs531yXtVWDAoJZg9FF2SwyhbOCx1I8JYnDneIIDfDxucFjTKCiSh3WOpVHMyUiXgUFpkYisRJS/X36EjBw7dcJ8Scu2ccOg+srkKg+p9c21O/Q6dE1T9WciSh/6ZivPXdqSTg2DCfL3Zmti8anR+09kszshkwOJ2dQJ96Nt3SDqhPuydm8a3yw5xMGkbGXa1TQ2EF8vE0t3JKulboSfMp+6ZlB9vl58iNuHN+LczrHKdOv7u7ry08ojXP/BOqKDfRjdLY7Vu1OUcO7TsvS9yScOa8ToV1eo2urOjfRBsrzO+L51CQ041ZhMUkEnjW3JI99u5Z15e4gP92XuQz3z65/l/f793wlC/L3o3jSs2MmD5AyrWj/A18LhpGx1O1KctauAYR1jVPT9p+WHeWfOLro3C1fR5QFtIlV9spCVa+dIUrYyLrPZHVjMpU+lN2LQtRNJue7dJpqpc7ZzXv+2/G9iO3W+WLr5GNP/3sO6XYn8vupQIaEs44hLBukZG7sPp7H/WAavfLOBb58cnL/OjaNacfGTf7B441H6tjtzhkhxJKXlcNubS9Ttj2ZvZdfhNCZP7EmX5lGn9P+WNHID1+AR5wE5wbnTWNad9qUaMYSygUfz5DVduOzZP/lj1SGGdK2T/9t2cXtDgxL4b8oINuxJ5tKXlrDnWPW3YZCv3+wZl0aDAlw3sB7ndopWplmStiyi7mhKDle9t06Jt0t6xjFz1TFem7NbTc6on7kaW5hUm6QXxrWkn1OUSp26TNCnZFr57J+DbD6Yzu6ELGU8J4K3cXSAep01e1JVWrNEhONDfbmsTzxje8WzKyGTnUczlWAf2i6Kxy9opgSdiOhL31pDYrqV1nVORrrFwfquEU2445zGrNiVzE8rjvDvtiQeHn36VnbFIQL1gfObsmhrEvd8vlk9tu94VrEiOY/6Bcy+MrPtXDB5JY9f2JxezcP5ZvFBflx2WDlqy+d0+4jG9G8VkS+Yl21P4r7PNytjLYmEr9ubyn2jmnLdWZVTh1kU2Q8Rx7I8mmPn9/XH+PLvAzz17Rb1WRxJzlYTI3HhfvRpGVnmaLIcAwa1k9dv7aH+/ndY49DxTDVWaFo3hGHd6tKuSTjdnZHi4vhg1hb1t06R1oZyHpJ07LU7TpRLKM9YtJehXXWvgZgwfybf2hO/In4MG3YlcjQxi+b1SpeFYlAyhuYzKC+GUDbwaKT34ZS7+nDDK4uUc2W7xuF4WYyTYlVzLCVbiWRh28E03OGiKMeBgWchhlayFH1MWkZd8b91TP1rv4refnB9O1oVEKnFkZZl499tyUybv4Vz2kdxWZ86NI72VxHk4sSWpP4G+lryBWSXxsWnPNYN9+PczjF4mU00iT01c0KiUj2bhaulvJzfNU4tLeMDleN1qP+ZL9XdmoSx8ZWB+e/rny0nePKHbarWUiYaPrixI50ahbBw8wne/HUX7/62R30OO45kqImEt65tR6NofzWZ8OAXmxnSrnB0q6qQiPb53ePVIgJZvsP4cD9lqFZeKuAJZ1BD+PnfPXwya50q2Xrppu6l+p8HxnVgxj97Vduookiv5X/W6yZ6ZUFq7L/7c5eqdZaxyumYu2w/I3vVJ9CvYq3tDE7i7eX+M2Ymi0kt7oI77Ut1YghlA4+nZYMwnruhK7e/+S9fPX4WZm/XmWwYlI735+wsdD8zx1asq6iBQXmQ3ACJ7Eom7uC2kbSIC1QuyMdSczmcnK3aI0mkR9KV/zd/H98uPYzFYqZjs3g+mtBerV8SZRFjZ7eP5oEv/1NRVxHulcX1ZYjqFhT//VtF8vN9Yew7kU10qK8yFxMGtY1iYJtI/tmSqNrkNI1rpIR4Xoqz9GWuE+FHw+jS94quLKTuO65wKbiBQZnZfSSdP9ce4fqRLVTadGkJD/ZVYrZ53VOjusv/S6BxMR03BDHk+ujXrRw4lqFau0mpgCx2u6aui1IScjqRLH2dp8z8j/ZNI/h2wS7uv6xjGd6pgcdjNuuLu+BO+1KNGCNZgxrBwI7x3HBeS255fTFT7hti9H+rYr5aqLuFhgZ6M/X24ltvGBiUlw8X7OeqfnVVD+PbPtnE0BeWq7paEYAS2ZVex23rBTF3/XFVn/zrA90IC/RhX6qFxqGu7w8ktb79W0fw8i87efny1rgj0r+8uUwQFImeS8R8QOvIYv9HBLPRd9igprBhVxIT317GhNGduWpI2fqfSy1zZrZNuU6nZ1nZdiCF5LRclTq9Zvtx1YO5IDJxJ+2l3vhxk0rtHtGzvip3EGd3+Wtx/m0cF8y8FQdp0yiMetH6BN5vKw7wxfwdSlwfTszij9WH+N89/Vz6WRgYGJQPYzRrUGMYP7QZk7/dwN6jabSuKzV7RtpIVZCUfjI1bcotXWnb0HDpNHAd4nw9f8Nx5jzYXUV9P5zQnoOJOcp8S6LIkjo8e22CMnx66qJm9HKmPEuNcmUxY/lhZZD17nXtqUm0rR/MgcSs/EmIGoFxGai1fPnHLjo0Cadl/bLX+oq7uhhtPfjecuYsP6Aek6qMG0a25NJBjVVkOI/1OxN57vM1+PpY+Oj+/sodW/ogf7NgF+t3JapsD1n/nTv7KMF9x9t6mVKvNtG0bRTO1F+35btuX//yP8x66Rya1TWuo7XuNGBElN0SQygb1CjGn92Ml77aQHJqBh2bhNCjVRRDOscRE37S7MbANRw4nsknf+zh15WHuGxAA64Z2ogGzhlyd8BouVoz+GDBfmWwJa7NeVFPqafNQ0yuLu+jG/kVRdywXc13Sw8zdeEBPru1s0pbrknIpIMM6qXvc0WZt/aYav1U3R0JjAh57eWW81vyxe+7eObz9fRvHcRDl5c+lTnPxGvHwVSVKfXsdd3o3iqKsCCfQs7xvy7dz8vfrFc1zSGB3lz0xO80jA3iaFKWcpyPjwjgrM7xKkosEeWCArtl/TA12ffNE2ep1OyuLaPY8tnFRsprJVAZ1wKXYwhlt8QQygY1insvbc+liQ5yszPZsuc4y/47zv9mbuGhy9pzbq961b17NQJpWfHct5tZtDmBsf0bMOuJ/kQEFzZgqm4kmmh1yGDGE66OBqeLJL/0yy7lPP3lxPLV6uXaXS/SZPAbFuBFUoa1xgnlKfP2MKZ7XIXrruUccee0Dap39Dd3l848qbLIdX3mvYGHIIL10fEdWLE7l9snz+fOi9riX8qyIKlBXjblfEICdPf94iLOyzYf4/N5O5Qofv7zteTYxEfBxM5DafRoFc3T13Zh3sqD/Lx4nypHknZUk75Yy/ihTbnn0vbK+dqgarDajLGAQfkwfqUGNRIRbiN71lPL+KFNeOCDlfy76RjPXde52IueQenYn5DJxPdW0atlJPOeHYS/YSlrUAlCdNrCA3y+6CDXDKjHK5e3yu8J7A6Ie7aPt4UHv/qP6BAfZbg1oFVEtUdOK8rehEzmrk1g1kN6S52KIAKgVd0g1u1Jdcm+GRhUhABfbzo3j2LhuiMM71H6CfPQwOInjCQle+SDv6nbvdvEKKOwucsPcCIhRz32/VODuXHyIq576W/V2uyVW3qwaXcSz3y2hhdv7F6utlIGtQCjj7JbYghlgxpPi3ohfPv4QMY9u5B/NyXQt11Mde+SR7Js63Hun7qWO0Y15+K+9at7dwxqIOLG/PzMnbSuG8QPd3YhLsy9MhUEiRhd2rsOF/WM54+Nx5kyfw+vztpJXKgvadk21f9ZejmL2VfDqIAyt49ZtiOZqX/uU32dOzYIoWPDEAa3jSK4hBZRFeWN2bu4fnD9M/ZrLgs3DG3IfZ9uovWdf/Dmte3p2SJcpc8bE5UGVUVGllXV24M/I3rWY86y/WUSyqcjKuTkeWnL/mSmPTRApVE/OW0VYUG+3DR5Ma/c3IPoUD9V2Cw1y71EUJ/bssKvbVCDMbmZ67XsjwFl+hSmTJlChw4dCAkJUUvv3r2ZM2dO/vPZ2dlMnDiRyMhIgoKCuOiiizh69Gihbfz888+0aNGCli1bMmvWrPzH9+zZoy6gMTExpKUV7sPaqVMnnnrqKePrMqiQA+wt57fi3Zlb1GDUoPTsS8ig9U2zeeDjtbx+QydDJBtUCgs2neCZGTt48sJmvH5Fa5eIZK2SBfOwDtF8c0cXXrysFTcOacATF7Xg0l512HE0k+veW8c5Lyzjz03HS7U96X087q3VvDhzB2O6xfHMJS1pHh/I7DXHePy7rSSk5ihn3cpg3d4UNuxP4/J+ritPObdLHL8/0YcAH4tKw+718N+0uWsBPy0/TFVinO1rJ9sPpvLEp2sZev88laUypEsdNuxOYuqvWys8BggJ9KF1gzCVOZGUpptZyja7tIjixZu68/UTZ9GvfZxqXSki2aD6Mc4DBuWlTFPU9erV48UXX6R58+bqpPDpp58yevRo1qxZQ9u2bbn77ruZPXs233//PaGhodx2221ceOGFLF68WP1/Tk6OEtLTpk1T/3/dddcxbNgwfHxOpreISH711Vd5+umny/2mDGo3kr1SXHb10C7xSigv2ZxAn7Z6VPnXZQdUPd3w7nUJdlEkpaaxaFOC+vvVA32oG+4ZParl6zcbl0aPQa4H78zfq0Ry7+bF9xgtD5YqyIaWCd52BVx1pafz4HZR6j2t2JnMQ19voVfz8BLLFO78dBOvXdmWga0j8qOusq3zu8ZyxyebuPSN1aouOjLYm5uGNFRR7bIg+1NcNFcef2XmTu4a2cTlKe51I/1Z9cog0rJspGZauefTjUz9Yy9jesRTVVTFMWDgXsiE0vmPLci/P+Xn//hn1Q51+5VvNrDzYBrPXd+1QuUSM54bynOfr8WhaeRa7Xw4ayuPX91Z1SYbuB8eURljmHl5vlAeNWpUofvPP/+8ijIvXbpUieipU6fy1VdfMXjwYPW8COLWrVur53v16qWEssViURFi9eJeXuqxgkL59ttv57XXXlOCWqLLBgZlPqgtxZ8U5aJ46/kt+d/MrfRuE60Gjcu3HuffjceY/P0mJZ5H96nPgA6xRnqgk9krDvHxvF0seGEw8RH+HmMhK9+/HAcGnsHirUmqH3LfFq4TyYKPpfriCHJ+6dEsnG5NQlVEeFTXWJVGHVbMhJwYA8lPa1CbU/sbB/p6MfUm3czMZnew/UgG10xZxzdLDqlobYCvhcggb/q2jKBfq4hC2xdhPXPVUX5Yeoj9J7LVZ3x5vzoMbhdNeraNlEwb2w6nk211MLJz5V1vJW1clm/u7qbea1Vi2CjUPp79Yr36u3HqaJX58c+WDBpFooy3hGyrXS1isFVepLfyjwt3q7Z02/anEODnRfeWUS57DwauxdvLA5SyIZTdknKfJex2u4ocZ2RkqBTsVatWYbVaGTp0aP46rVq1okGDBixZskQJZUnXvvbaa4mPj1eDiOeee47g4OBC273sssuYP38+zzzzDO+8807F3p2BQRHO7lqHd2duZfmW4/RsHU37RuFYbQ4evqw981Ye4qVvNpKWaeW83vVrXK9jce+UQUNZmPrbTp68vJ0ukg0MKonEjFyaxgTUyAmqh0c34+slh/hy0UFlABYR6E3nxqFc2b8ereoE5bdl8vUuOZrrZTHTum4wcx7qwYl0K5k5drUcTs5W9dLPTd+u0rX7t4pg2+EMFm1N5OwO0Uy6rDXt6gdzNCWHC19dwcyVR2nfIITQAC9VNzzp8lZVYkYm36+0yDEwqKxI8kVP/cmW/ancfkGr/OudtHp69IpOPHhZBx54fwVb9iZXuIzBz8fCNcObM+XnLew9ms4H9/arkecvA4PaTpmF8oYNG5QwlnpkqUOeMWMGbdq0Ye3atSoyHBYWVmj92NhYjhw5kn//ySef5K677sJsNp8ikgU50Uh6t0SvJZW7adOm5X1vBganIINB6a0oKdhKKDcJ57P5O1Vvwwv7NyQq1I/3ftnq0UJZok4SLcrKsqrZ7qwcOxdPWqQGDRLNaV0/hP/2p/LahM4MaBdzxhYV8vyqHYn0NwzQDCoRabP03ZJDNfIzDg/y4dazG6nbMjjfk5DJv9uSuPmj9QxsHUnjmACm/rmfS3qVPh05IshHLQW5sEe8qsVctStFCeQeTcN4+uIWBBaIMMeH+9G2frAS1+9e3x53YPn2JNo1CFGRcQODkkhKy6HPHbo3zof39KZfe91B+kBCBmc/MF/dnnZ/X3q1OZkCLb+7nxbtZfK3G0hIyWbimNZK6FYEmbS68+J2TBjVCj9vi8e73hu4i+u1GxloGcd0+YSymHCJKE5JSeGHH37g6quvZuHChWXahtQvn4lzzjmHfv368fjjj6tU7vJwLNVBWq79lCbj3hbTKfWrYt9fo9YrYFQhQYqixnU2+6nN10u1nsOBt+XU+t9it1eN6yVmaPiaNTJ1jw1sjsLrtW0aT8Zv+/l9XSJtG4WRnGXivwNZhAT50ahuNJn23fzzXyqN4oL1zyXvdZ2fq8vfh+0030fR9ZzvIzE1m+0H05TQz1tPBg/hzl7GFz67CLvjpIlZw+gANSkltYhx4X4EBfkQFOTgy0XH+HtLOj1aRjF/9WF14b+4bz1a1js5gdWvQz2e/nozFw3U9BdyVNL3ZpLjufCDNofpNJ9Lyevl2iAn13Tq66rq5YLb04rfv6pez2Gq0Ps97XrSUPqU9YrsX5HfR3WsZzUHkJTrw5EM82nWK8XnXGQ99VvJNhPgrblke4XWK3CyLOv79fYPZmDHYHq2rstPKw6z6XA2b1zXhXqRARzNqOjnbKZJ3Ui1COl2SE4rfLy0aBjL7FWHOZphKv9xVeRiUZ7j/s1ZO8my2vl3a7JyEY4I8qZRdAA3Dmvs0t9bQoYJ6fLjyvOLWq+IznLJdcFUSb83cyX9fov4QLjkumDWSnhdHx67phdTft7KfVM3A5sZ2iWW31YcUsGbH54cpETwweST46YfFh9m5t/bcDi8aVIviLW701m5I031Sq7492YmLUcNvMr3fotbz+yC8VrR9UxuMj6tpvVOpHpA2ZiRel0zhLJEjZs1a6Zud+3alRUrVvDmm28yduxYcnNzSU5OLhRVFtfruLi4Mu+YRJUlcn3//fdTHix/rcfb1+cUOx8x+Ck672fCVOJ6ml3Dq9j1OOXRal+vwNnDpa/r0Ir9/OQgKvpoda4HvpisVszYTvt+x4fB5GkreLJdBOPjfLjn1X+Y1DGKeH8vzva38+t3a7mzZVih19Wcn6sF0yl28aZi9q+065kdp9rPqz0ustMvbU3hnxPZ+fdbBnkR6WPG6tBYnZTD4JgAbmsazBNNApm0NZlUm4MJdYMZEWvBHFek9jMugkSrg6tX7ufAliOcGxeANVfjiQ9X8FCLUDqF6dEq8cD1Tc9k6w9raBPsky+8ig6Q1OejfkmFKe169mJqn4sOitV6xWyv2PVMFqwOM1b7yc9LXqHop28t5vuojvXk2JL3UfTdacVur/TrFU0vFOOZYrdX5MEqXU/T+HBfOn19vcj5ZYvLXlc+9xzvIHJy09zr/RY4f12at96iPeRU0utqlsK2dk1ScklLz2bR5+voEXoyKj0jIZtRUX6F0kdPd1wVjTSU9bhPtTqYvSGREVF+3F/XhzAvE1malXfWHqJfUiptgrzKtL0zrWf3C8FuK3wM5L+P8p5f5BWKfAYVOf/lrWcukJYua50a85RvpDClWU++U7MspbjOlGm9Ip9BRa6DeesV/FyLv+6bGAIM6R7O6sQcHt1wgln/7uXCegHc0iwMft+Uv17eLg82BXJd/2i1vfe2JvHDf0epn5HBxFbhbjd+UY8U+AxcNk50brPax6elWK+oA195x+0F1zNlGd1wDcpHhY8ch8OhDLlENHt7e/PHH3+otlDC1q1b2bdvnxK8ZaVHjx7KMfuhhx4q134FmuyEmHSh5Aq0IrPMbk2l7asHzMjJIAxv/LET5BTKxTEi2hsfewD3rTjMXS3DuK6BH3ctO8gbXaK4KNabCxad4M7GfgQXSM86dYjiGkrTquJApo35B5PV7Xuah9Iv0o8Mm4NjOXay7BrPNA/ijR0pXLXkEEdz7Pn/9/H2XEZHeuFXTF1gkBfM6hpGYAGn26begdy/8RjPtgmnR7geoR4abuavQyn0ahGmBuKVQWW07LJpEOiQHpruT94kjMu3WySi7G5kOzRe3Z+hsn+urxuClwu/LzlbnfDWPOYYqCyK1k2297XjZ8/ltZ0n+KB1OPG+Flal5jJldyrjIiLxKkWd5alSr2ysSMlRE+uhmhdDVCaMfpzmxnrx/u5EPmwTpoSYK/BGI0hz3VggD1PRWQoXYK6EbeYfA6U9FZRhvYoeB8VRlm2eFWGmhZ+D9cm5JGdaTnvN98FBKPp54Kvtiepv7/DTr18j+9d6UP10ZdR6+xQzneR2GBFlzxfKDz/8MCNGjFAGXdLGSdKi//rrL3777TeVTn399ddzzz33EBERoYy7xMFaRLIYeZUHcdWWtlPijm1g4GqGxAXQJMib+9Yep1uEH4+0CeeOVQlM6hjJJfWDuGP1cd7pGk1wKUx2KoM9GVYuXnZM3Q71MnF/i1DG1tPNf/JoXeD2463DWZeSQ6MAbxVl/uFAOo0CihfJeRQUyUKHUB8VUf7frlR6dNVrvM6J8Wf8ygTubaZ5wqXGwEPYn23nsd1ptA30YnLTkFIJNIOKE+VtJs7HQqyPmcd2pjGlVSj370hVz1XVdzAowpf3W4fx4p40bqp30sTtrHAffjyaxdzjOYyM9oxWdAbVyyudorhvzXFsZZhsPCvWn/4xhkGlgTvWKLvRddCd9qUaKZMCPXbsGFdddRWHDx9WwrhDhw5KJJ999tnq+ddff12ZdElEWaLMUmv8v//9r9w716JFC9Vr+YMPPij3NgwMzkTjIG+m9YzlnL8OcWPTEJ7vEMmzm5L4qV8cNk3jppXHmNwpiji/qpWIa5JzePa/pPz7P/WOK5Vg7xiqR4GFmxqf7O1aFlKsDuL9LPl9V6N9LTQL9GJJYg79nFFmA4PysCPLxopUK+syrGzMsHFrnQBGRhqCqCpRhpnNQrhpS7ISy6/sTSfHAT1DvNXkRf0qOte1C/LC12RiVaqVbs4UcNm3OxsEcf+2FAZG+BBocSNjG2BLupVr1p3gs46RtAwpbKZmUD3I9enTXrElZiWtPpHNxztSCPQy0TmycImBgYGBgUuEsvRJPhN+fn68++67aikrjRo1KvZE9/7776vFwKAy+GhnCv8ezybHoalU5m4RvqRZHexMt3Jb81ACvMxctfQodQO8mNa96vp6f38gg7H1g7i0bmCVX9Alnfv3hGyuSLPS1jkYHB4bwJyjmYZQNig3GzOsPLIrjaHhvoyUDI4GXoQUyWhwNe6deF59RPmYlVi+a1sKx60OfEyoKPPd21L4pE0YQZX8vQhyXrs41p+vj2TRJcQ7P9W6RaAXw6J8uXBtIp2CvVUds0Sgq5N0m4OhzuweQbwhDNyLM10npXJ1W2ouixOymdYnllYFavMNDNwGI/XaLTHO9gY1juIMHU5H6xAf9mTYCPIy4W8xk+tApWDftuo4O9KtXN8khKk9YjiUZSOhQO1vZfL8liTmHctiUJR/tcx6j4gNINjLRJPAk/Nog6P9WJ6UowaMnsKpVh8G1YXUtr95IJO76gVyR71ABoT5VLpIFsyVVFNfE2ge4MWISD96hfgws2MEDzQKYkC4D5P3ZVTZPgyN9CVX07h3W4oyF8xjYv0gvu8YwfAoPz46mMHzu9LILKbeXrJ+FifnML+AyWFRCluZlXM/nSL5806RLO0bR2QFWwsZVC1mHPxxJJMnOkTQKcIPPzfLVDCofMye4DOUJ5TdaTEwhLJBzcML3Z27NPSN9ucbmWEO9uHuNQkMWnCQo9l2HmgdxsRVCWxNzaV+gBfjGgRzxdKjLDiWVen7L3XIUlackdfjqYqR9zsg0o8B/xxhQ4reY0siTF3DfFmcmOfN697I9++leY6or+nMPpGDtwnOcrqpVxXeWtVMbnkqY2P9+CMpJ38gcFPdQHZm2Zh/omp+5z5mE2+0DKVDkDfXbkxibZqzpx+oiZSzInyZ2jYcCeBetymJXxOy2ZlpU8s7+9JV1Pmrw1m8tje9kNAu9BoVPA/kZbpNaRdB88CTPakNPINJmxP5YHsSWTaN0fULe3wY1B7E1M/AoDwY0wUGtZ4YPy+mdI/mqsYhTOsZw/QD6ezPtPFomwjuWXNcnV6vaxLCG52jeHdHCpO36u7TlUWzIG9GxgWw0SlSq4MnW4VxbYMgliadHDAnWx1GyqFBmRDxIunWXx7L4r76VV9GYHBmon0s9Avz4acEPSLrazbxVJNg3tqfzpEqyqCxmExcWzeQsXH+zDx2amRY9un+RsHcVj+Q1Wm5PL0zlUe2p+JvMTGldRgxPmYa+FmYUUmTmHnH7JS9p7aY8hTWJufwV0LlT/K6Iz/sz1Cu2I93iHSZk7qBQWUgPbndbTEwhLKBQf5gbVhcAK1CfPigewyf7k6jTYgPYT5m1ibn5qdpj64TSJLkZ1cy4la9M6P6WlfI4FDaQ0ldsjhpq7rtDCsdDQMbgzLwQ0I2wRYTn7cKo4m/0b3AHbk81p/vj+k+DYJ8T1fGB/Dc7jTsVZi6Ln3fRfTOSsjiorUnmLI/vdDzYiT4WJMQPmsfwbcdI7i6TgCfHMrktxM5jI0L4Kdj2cw7oUecxfW/ImTZHaQVKDO5sm4g69M8r82YRMPPW3KUG1Yf548qyIZyx5IPLxOMaxBES6Mu2cDdMblBqnXBxRDKCmPkYmBQhEhfC7F+FjVwGxEfyNzDGXRxuj3nOjSWJWbzzvYUxjYIUo6brmZFYg5v70zlzY6R1frddA3zYUKjYO7fmKREc6dQX7yNdgEGZWBpai731w+qtuPGiB+VTEN/L9oEeinBeb6zJdPFMX78m5KrjLauiA+gKjgv2p+bNifRLMCLun4Wjp5hQlJE/VM7U0mzSZkNquY91xHIkuRcvjycycFsB3G+ZiX668f60oZsmgZ4EedrUVFFqW0W08JD2XYOZts5lGPnsPOv3M+xa8rw7Dtni7yhUX58fjBDtSDy8qBz4N4sO0dz7HzYJYrOYbWrY4GYc07dlYpNgzr+cp3WMyS2pOSiodG6QIcIg5qP4VliUF4MoWxQ45DhVUXjIOJ2nZxr55y4AMYtOcL9rTT1Y7mhSQjn1Qngm33pjF1ylG97xRLt4nYqd6w7rv72qmanV4kqi7HX4hM5/HYsi/PjqmbA7CpKb+lmUBmIm3KC1UHLgOozPnIYqZal4oo4f57dnca5Ub4qu0bE5KONgrhyUzLj4vyrpL9yPT8LF8T48/GhTPqG+Zw2A0G8Gx7ankq0t5lnW4YwcUsy69KtyvhLFkEE7f4cO7sybWwBfjmapSLNUj4iRoVJVodKO6/jZ6GOr/53QKQvdXx1kR7iZeL8lQn8cDiT/hG+qiWU4O4iWSKoA/45zIedo2gd7KMygYTaJpIF8RiRlOsrGgZRP1C8EbLYk27l9uXH1ETJ5K7RdDFa09UaHJ4wHnA3Ay132pdqxPgUDGocNuVxWbGT4oj4AB5ef4J1yTmqZljqlmXwJcT5eXFXizB6iNHM7lSXpyeGeJv5tW+cGrC6A8+1CWdWr1gebhGKpyDfv81IG6o2suwaL+9LZ0i4b7XWBVpNhjtxaWgb5E2Uj4XpBWqElZD0NbO2ClOOr6wTwKhoP3VObaSigPqxJJk8eT3e79iSokT0Y02ClXAdEO7LLwnZhdpLyuON/b0YEunHsNggXm4dzo9do/mlezTvt49kQa9YfugazVttI3ioWShX1QtiaJQ/bYK9CfWW2jwT9zUJYXlyDi/tSFETr2+0Ccfdkd+a9MS+atVxZh3JJL2aDCGrk+/3pdPlt/1KJD/RNpx7WoXjZbGQmGPnjuXHuL1VmBod1Asw4kS1iVzNkDuVzQsvvED37t0JDg4mJiaGMWPGsHXr1kLrDBo0SJ1fCy4333xzoXX27dvHueeeS0BAgNrO/fffj81WfaWIxpFjYFAMF9cP4s0u0by/M0W1hvpxfwYj/znMhpST5laPtwnnQJaNh9Ynkl1M65LyIoNCiWi4E5KK7u7RFAP3YFumjbPXJxLrY+b2up6VhVCbeaRREG/sz2DKgZPtoa6OD+CZ3Wm8sS+9UM1uZSHGXQ83DqZNoDev7knnsR2pjFpzgpGrTzBoRQJj1p2gT5gPdzUIzJ+AGRPjp9KlX9idzoY0a/6EZnEEWMzE+lpKNQk5MNKPB5uGsMJpqrg6JaeQuaG7Mr9vHF1CfXh6SzKf7itc513TWZmYzXrnNXrWgHjG1AvKv6beteKYcr0WE7jWoT7EGJ4JBu6GjLHcbSkDCxcuZOLEiSxdupT58+djtVoZNmwYGRmFWw5OmDCBw4cP5y8vv/xy/nN2u12J5NzcXP79918+/fRTPvnkE5544gmqC2NKzcDgNIh515e943h/RwqzD2Vyfp1Apu1O47VOehpboJeZ1ztF8cJ/Sdy8KoHXO0US7oL+mqK5DXdOA0/l1f36RfGeeobLtSchKcg+Jr03cR4Dw33pHOzNuwcymLQnnReahVTJvtxQL1ClUS9NyeWhRkGqPZ2kFVs1XUwXJNBi5o1WoXx5OIu39qWzL9tOh2Bv7moQpNKoK4L0Sx5bJ4Dlybl8djCTX45lM6dHDO5MmLeZ9ztHsSY5R9VhP9Pa/SPheUht+JPrT7ApNZfDWXaebhfBeXUDS/y/nelW3tyWzKKEbHV8zOwfT50CQvjXw5k0CfbmumYh3LEiwWgTZeCeKHHqRvHLMgrluXPnFrovAlciwqtWrWLAgAH5j0ukOC4urthtzJs3j82bN/P7778TGxtLp06dePbZZ3nwwQd56qmn8PGp2haTgiGUDQxK6PN5e4swgr3MzDuSqS7IcjH3lUbH0pvPbFKR5am707h2eQJvd4lSfYgrLJSr4VuR1MUTuQ5V1ycO17sy9L8Hs+w0DPCifYgPnUO86VXN6bQG7svRXDuHcu3MaBvmFq2gjM6ZZeO8KD9ii0z2ST/jexsEMW5jEtszbTSvopRVqVm+2M8//76cc3xPc0iJWL6xXqBa0m0Ofk7I5oHtKXzQJqzC+3FboxDlov3arlRWpuSyKiUH6Zwlx/ngKD8lpt0RT6xLzrQ7mH/0pDv3ExsT1SIEeZk4r04gtzcPxc9iIt2mcTjbRtMgb/49nqVE8pe9Y9UEd1H2ZtiYUC+I4zl2Nibn8KrTpM3AwKBkUlNTC9339fVVS0mkpKSovxEREYUe//LLL/niiy+UWB41ahSPP/64Es/CkiVLaN++vRLJeZxzzjnccsstbNq0ic6dO1f5V2YIZYMah7kSbJwuaRDEwUwbT7YNzxfJeYggEJOvCB8zD64/wRc9YyokJMWRs6qznI9k27hu9XE1+MgqkLrYJMCLr7pHsyfDxobUXD7el84He9O5o3EwXdx8IGa4XFY97x7MZGy0v6pvdQfMVdjeqCZwTqQvj+xMRU4Bl8b65Z/HZMJQDL+mHcpkUhVFlcuLRJ8vjw9QrtnP7Urj+g4V7x4gE6IPNgvll6OZ3LM5SdUBC51CffKFcl6NtDtMEBV1fz6YY2f8igTk0jUyNoAn3bTeWjKyVp9TP/++TEwfybKp2vTHNiQqE835RzKVUJYJXKlQklTqBgHevC4GZqdpX9gpzJu3tyTQL8afYfEBp1zDDWo+ZpMHXAvc1Myrfv2Tv0nhySefVNHdM+FwOLjrrrvo27cv7dq1y3/88ssvp2HDhtSpU4f169erSLHUMU+fPl09f+TIkUIiWci7L89VB4ZQNqhxeInQdHEsSdKsHylhcHFB3UDmHM5k7pFMRsaXnC52OuL9vNiTaaNJoHe5t1EW9mRYeWuXmJKhHGHPjw7g4joBXLIiQUWXpx/KpGmgF4Oj/RlfN5BFJ3J4YUeKaitzW+MQ1fPZ3ZDv30urfUY21cnqNCvbsmw81lCvC3QHvDW9JYxB6WgX5M1HrcN4Znc6y1Nzeb5piBIiedHmt/dnqNRsbw9wkL29fiDXbUpiY0oOLcp/Oi7EYmeN8rkx/vSN8KV5gXO0TCB+vD+dK+oFcnvj6ptMeGBjIkOi/Tie61Df3Qvb9KiO8FGXaB7amMi2NCstgqvm+lKantVSMy6TMUWRaLH4Y/x+JDP/sXh/Lzam5PJa5yjVtlGi/dLS8UycHe3LzsMW3t2azBf9ik/5NKjZeHtCfpGbCuX9+/cTEnLynFaaaLLUKm/cuJFFixYVevzGG2/Mvy2R4/j4eIYMGcLOnTtp2rQp7oj7jXANDDwUiSSIG7ZElYfElH/W+pxYfz7fl86TLqgtk2jCquRc/kvLVenTbYN9qOdvyY96SBq5CGJBWqS80CacNs5Z+b/6xbEsKYedGTZ+O5rFuxmpavAlArl9sA8xvhZuXX+CQVF+3NAgiAg3iSIaVA8fH8nkljoBxQ54DTyHGB8Lb7YI4bGdacw5kc2FMXr6s3yvfmZxVdbwtniGqVyyTaNZoAxzXGPCdU/jEO7LTlKfw0BnK6o8FhzXU4bDvKpnoCutoGYdzeTP49lqKUiAxcQldQNpGezNtY2CeX93KpNdEGmvCGKw9U9CFp/uSeO/VKtKqZba5IfbhKs660y7xp2rj7PaOTkhJQDTesbQKNBLtYAsS1cIud491TFSRZTbhFZ9jaOBgScTEhJSSCiXxG233casWbP4+++/qVev3hnX7dmzp/q7Y8cOJZQlHXv58uWF1jl69Kj6e7q65srGEMoGBi6kVYi3isyKG7bMhpeHKxsEcfHSY/yXmnvaVLIzcTjLplqDLEvMYUe6lQ6hPrQL8VH9kN/elUp9fy/e6xSl1hUxv2JQndNG0SWKPLhAOVdmroPdmTZ+PZbJ1nQr33aL5rP96Vy26ihpkvYAAMFHSURBVDgtgrxo4O9F7whf+kUUHkQa1HzWptu4ra4HKCiDEhERMijcR0WWL4j2y59YkwilCJhyntqqDNnHp3em8WDjIEJFuLqos4hMDr7XPoIntqZw36YknmsVpkSomH0l5OoZLNXRHUBE8qilR9Wk5dsdIlSqch0/LwK9TCozSVMGtvp+jY4P4LO9aWxOzc2fFK1spHPEqEVH+H1gPBk2jYQcOz8eyOBQto22oT70jPRTovlwtp0hfx7Kr0nuGObLF71iVVS5YNS4PGcZuZ6J67WBgdviphHl0iLlJ7fffjszZszgr7/+onHjxiX+z9q1a9VfiSwLvXv35vnnn+fYsWPKCEwQB20R6m3atKE6MISygYELWXgsmwy7gyYqilE+/C1mJjYNYfL2FD7sElXmmreXt6cQ4W3m5kbBtA/1KRThu3dDIt3Dyz84ktqw1sHeNA8K4eZ1J3hmWzKN/L14tW24ijRJ+xRJ45aoVPNAL7er1zOoHPKckh/ZlcYXrXXx4A64x154JsVFRvuG+vDErjReaB5KuLcbDegKDNTWpFn59Xg2PUK96Rvmy34Xv4a0mHqpdRhv70nn+rXHVb1ypI+Zh5uHsiPDyv6squ/3KYJYjvU7mopXxqkysqBnhtRbX98omPd2p3Jn01B1rars87RMMAhDFx7Of2x4nD9TukTnZ16JuB/x92G1PwNj/LmpWajLslMMvwoDjzgGPFwoT5w4ka+++oqZM2eqXsp5NcWhoaH4+/ur9Gp5fuTIkURGRqoa5bvvvls5Ynfo0EGtK+2kRBBfeeWVqm2UbOOxxx5T2y5Nyndl4EbfiEFx/LIvjY2JhdOoDM6MzOtX1ylxxsF0NWOefYZenqVheKw/Vk3jj4SyfffSQ3Rdcg53NQula7hvoYGGRJj3Ztq4uE7FC/a8TCZebRvB0Ch/1qbmKpObbmG+XFM/iL4Rfjy5NZlzlx1j0vbkM/Y1rUxcb+lmcKbj4Y+OEfQJ9ebtg4V7JlYnDmOiptzU9bVQ3/dkmYZwT4NAeob4MGFzErurQRCWxLdHs3h0RypbMmzc1kCPHjoq4TwgEfe7m4ZwR5MQJrcNZ2qnKM6O9ifIYq6W0oP3dqfRLMhbpSeXhnPjAtifaWPs8mMcya78On6Jsq8cWjf//tNtw3m+fWSh8qRQbzPNgryUaWb/aD+XDk7txrWg1lMZ5wGDwkyZMkU5XQ8aNEhFiPOWb7/9Vj0vrZ2k7ZOI4VatWnHvvfdy0UUX8csvv+Rvw2KxqLRt+SvR5SuuuIKrrrqKZ555huqixkaUD/21n1SL+6cBaiWIiOkZdjbbYZyviQt9TGWqy3E1muQUuxhHJYiohOBQ/LJzCMxx7QSDoxTeUN0dGnuANX8fIr6U39XptnuZpjF5YyL1zOBTym3t0DSiHZDw7xEOFxj/ONB4QPqTArv/Lr9zYNF9PYTGejMcSbFyxeEsrCLWpTbaeXLxO5TFhkNZ/GiCFXJfIlXOJVT+aiBJ4N0dMmvnumM708+PLB9fkpJPGtlU5XHgDtusLM60r2FeGuu8YPPeXNxBJCfEe5F+SG8v4+64UyBBsKFx1B82/X280G9TKsosXhq3rk/i5lxoKXm9bvIZ/OWlMcEObTLt7P33hHrscF0L1sN6jZsrkX2VxED5OWx3PrbApDFKg+37M8u9zdIi5/SNwG/AceDxM5zbvYoZCt2iabwPjFtylHNNcHE5BH5Z9veopqnz/gATtNmaxO5tyfnP7dc03rZDgqZfP25ensBgM9zo7Zpj60B0LN4nKuMYqJzxmMlNMnJKg8lDPCkOB7un0/upfZTd6PMs475oJXSZEPfshQsXlrgdccX+9ddfcRdqrFCuKfiboIsXfJajUcdsoq+b14bVdvqbTdjReNIGd1s0WlfgpNfCZKKlSWO2BheUcjPLNWhbzLoy+JBDx9VDBUmWecShn0hk+155AtkphGWAfRSNgyJegVs1/XmRrzJMSjGBzCX+ZIHumsaFDje6SBiUmcXeMKL6NbKBC/DCRJCmqd9oeJHxTw+HiRCrxgc+8GyORoCbRGtkN0W7uXLSrSzIea8qDv8DaLwuKdfi6OycvPAp43tuZjLxigXecGh8p0E3TaNRJU7EL3VAXzNcVUQEJmgaz9rgCgt0MUGgGX6yi3iutF0xMHBPTG6Wei37Y2CkXrs7YSYTa2zwpL+ZPsa0hkcwyGziTgu8Zod/Khgxv9yEEsrLNY09xczW2TWNI5qGQ9P416GxWIORxYx1FotxF9AW1xKCiTaYaIGJxpioj4l4TIRjUoPVY9KmCbhP0weRUh0t63bHxNmYuFgzcYcGB03wkxlWmjSsnlBLZFAsIQ7IcA/NZOACoiQ6epqxUiuHia52+MENrktrTBqfWDR2mfRzTHXRVIOdlXz8p6IxGbgIeAYT/TGVWSQXRKK8wtxKPu1uOM0kbpIG4qve3wRBJhNHNZhlhyvc4LgyMDAwME5Fbs6t/mZu8dMMUyQPo63ZxFMmjRdsKIHb3wzSsr2sqfNRJhPjTRp/OWC31JaZNM4ywVoNVgHrnAI0r1rwCTNEFHmNVWh86LzdBNfxDxr7TXoERV5/iIYSy3ksRuMDE0QA6dIv0wRPA+9oGqGYWIfGMolWSZq5HXab4AMzDNPgYg9KRTY4SSc7rLVAT/crXzUoB2Os8JEPHDRrjLLqUeaCXGCDJ3xhm12jhQtTsMvCdpPGF15wrh3OtkLdaoxuy/l1diVuP8sZSR4A9HHR+7zKBAHOa4krkEnbd+ywRYPzzTDcGUHubIKfHdDVpBW6DjY3gZ9MCDskg07jGztc6aVf+1zJDKvGXLtcHyHcBPEmXYwbhpO1BE+YwPVwM6+aiiGUPQDjRF7Gz8tNIpJ1TSYmeWl864C3bCAVc01NGpeYKVNK9llmE2cBiZrGyw74QYN2QDcTXGXWsw4kfU22WNzgQjfd1wdXrkxJlO7Lc4AG6O/tHxNcp2kMdL6GNAaQDnrSXVQe8dP06MVjJjhH05hnggs0XUQnmFD1za00GO4CkSyvZyqhXsbA9bSzwde+YM3R8HaDkYlxDFSMFg4TT2RrfOqDSrO+tUhesT8mrrRqfOoNT+VW7Xe+2aSx1wSLzXCJHXqdpmzDXIVmgiKUdznrh12d/r0NjSlAF5nAcOF2xRH7IjQVUU7TNIIrKFClzOZv50f+kZTlmDSGmk2MNMM6yUBwwFhL4fHN1WaNmQ7JkIInvKGhi+s0zZrGLg1Ge0EzM+xwwHdWGC9C2aWvZOCueMS1wBDKbokhlA1qHF52B2bNPUKSISYTE2RQYIEMTWO9Bq/bYYymMVwmD8swKJFI8SSzpsxjxGW4INFn2E60M+36ZhcPCS7ERF1NY7sJQjTd1KZgR+Y6mHha05Sglqixn/P1lzsjzY9r0ND5mKvNrEyaA7MnOWTVEAIx4a9pJJsg2g3GJRZb5Tv61nSCMHFTrsaD/jKhpRFdJHLcwWFiiaYx2wvGVFEmgZgIvucF/RwwzCE106df12K3V+nxH4qGWGoV352+fKZq00V8AhOAjpXk4t0Kjc3Oeuc85jg0FfGVeubSUt9k4genl8pUu8Z7dmiERjOziYkWjQds0M6kqayrPNqYTbQxV14Qy8tuJ1WDBiZoYZZWWhphBXpLG9R8vKvwPGBQszCEsoFBFRFoMtFbDTr01LSfbWL+pdHPObgoDXJhL+s4QkyzQqgcemKi5xkEkaRq5kW08+iBiS6a1C4bg5SaRpJJU2n4UttalUgEb7UX/OINR8wgWu6qbGhdtbtRY5Hfam+bxmIRw5L6UYTLrPCkL3S3a9StpBRsDQ3xL99pht/Neqr1OW5o/tdU9tFFQlmMIaVcJRJ4AQiuxHOmGCyGF0ifluSBaWK+qMFX5Wwgcr3FpMT2Hxo0E4NHk4nbLLrD9UsmTd2vKlI0eX39djOTnum0z6HRwJ1chg1qN/J7cCcDLWMiSWEIZQODKkaiv097wSFN4x8HKp3aH02ZmfSVml4Xn5x+lvow3AtDJNdMVlkgxQw3qRa2J9XyzVnQxe76AWkGGi/5w5ECA/muVkg0w+f+cIGXxnCXv2rtpJ8NXvOF862nphWLqd9Im8ZcC1zvwqhyLhoLJFVWFokAishx6O3kBrlpwogYeompWP8KThYdlNZ7zk4F0kFU4qCVhVXTOOAslxGk7dRz6rqkC8r3HBpXm6SGuHz7UDD7vb2kYWsa99lgnEX33KjMyK6I/sPi3l5AKEu5jxymhpWCgVshItmthLIb7Us1YghlA4Nqoo7JpGq1LkZTfTilrusBh6Qj66K5p3NgIr3pDkuNmjjQ6lncXFbKQct6NDYALxZ4LBuNJGekOdmZlt2pGluqGNSs9lBCf6ueji/LX17wnj90smncku26Ab+4o98dBL4aPJUJdYpEF+d5w4JwGIJ71Et7OnGaiUhNY5NZ0n9PRUwFXd298G8zrDbD2XYYr0nE0+T2tYlSp1xyp9Az8ycaPzonOG+tZJEsbHcK4nscct3RI8DSeupxs0S14TWH7iMhfhRlRa5jsr3Gdi3f2Ot8i4nOZo2P7PJe4XGLhm8liWUxKfvABmmqjEDv9TolFwZZoIkRTTYwMCgBQygb1DgcIi49aGAsZiYtVN9kuEbTWOsUzZ85xClbn+kPcj7fHNgPPOiAO80aTUsYXOx1zp5LRCIHTQljkzPFLsy5iGj+DBiBGHGdrCX2bExoRtpQlZJq0kgzwQsZEFkg/fYsK8zx1pjhC796w7nFpO6WBwko3pIFnU8TqR5sgz9NJjZaZB3XvGZtp79NvkuIs2nEFkmxznD29XVVKr14H/xphsvt0LYC6dyOKnZubeT8LHai0bSM59INaMxwnuOfVGaIVXMuls4EOKPXP2twhwn6FRCREeglFeXhfi8Tr9o0Zew1yKzh5zwvS7nRUxa9DOkrB1xbzvTukkjTdPPMa/30yPUCm7RUhLuN0W+twiPGA4aZl1tinCoMahx2s9kzTorFICZd3ZyO1pmaplpCySx+USfSlU4H7PNMGueeIXVtFCaGoyknUn+nQC6u5+ZuNNXWRAZpT6ER5+FiWSZLqnqAXNtF8mQ/GGotLJLzGGE1kW7SmOkLw6yuifCKYVjrMwhgyZC4y+rF037wWKZGnWpqX1STkL7JH/vCwxaYkq3hW+B7lPZvPlrFapAlvXq5GVaIm78GAxzQuoIBYZtXJSmw02DBxPmaxkwT3FPGfZ8J9HZGkaOq8BwcZzLxnQVsmnwL4F3keiKZAhWZ35JWTLLh+Q4YVcTx+jqLxr02XUQ3roTrdgczzDRbCHbe/9YG9/qc+h4NajZWc9WeB8pfo+xGx6U77Us1YowkDQzclACTibYmU7HtOrqZTLwgaYkavOCA5DOkF4ooaYSJWEzFimRB+h/fhonuwCaXvguD2sDbftDBDsOtp7+wXpJr4pUM/XisKFI+8Hgg7C/FFeycXFjg6pzgWooI43uz9Xrl+3zhQ2+NQyb93NPEAVvM5Uuh/9FL4wFf+Myip+s/LOZgNpMy6/LEkpD+zmyevWVsVSgZP+2qWCQXnagtTkD6OaPk5UU6PAifOoo3uexlhk2VVHMu7ROlNvnabHg3V6OhCQ67aX27gYGB+2EIZQMDD0VMv6SGrLUJHnLAWhfU4kn0ep9L9s6gNjHACsu8YJf5zMdgaAWjuhLvmu2t8VwAPJ8BzUvhejzYCsu99XTeqkBKHGoyrR0mrrOZmJQDjRzwqg8ckHY/Dn3iIrUM7z8Jjdd84IREX3PhGZuJ8xwmYjxQHBc1KzxPg5/K+DbqOvsQuxtS9rO5Aod1pGRKneGzaGqCnZX4sxlpkeMSFtqhr0WPKj+eo/FEjsZ6u0a6J/TYNag9Zl7utBgYqdcGBp6MpFxfaJIaPo13nO7ZHU3QyaS3KSmru/QxIKbS9tagptLfphs9vStpzlkaQZprIscF20694Q+HndfttrbSt6CSljpvVSQcVga+8dH40xueztSU+VVNRj5XMdmS713E7r250MmuO5+fVUxKvExUHDA5HaydLta5JhggfeVtTjPBGvSRDXR2HDiAVupa4zyhLOU37kQ7EzzmgJaaRvciEWe7pqk+zCUhE7orNUjUtFM6O4hQ/l6r3E4TV3nB33bY6ZCOE/oirJc+WMAjPho9nGZjBjUQT/hq3U2cutO+VCNGjbJBjUOsvGobLU0m3jTrNc1rNfjWoUeGG6CxReq0nH0y+zjrls/kfno5no+pGtxuazthDkgzw4NOR6fJ6VqF+76utGh8IMX1Ti7J0eugS+sCXNXHQEOH3sP5iUDZV43ONhGSle9aXJ10cZjQrLpYHuXMLCgolCXC/Kk3bDVDhPTTdUB7EccaRFfBZ2Mu2JuoCpEyl3OdtcoTS7kL9eT8jfshTt7CH9Kay6KL4/9psNOuG4B96KURUoJYbuB8WgRqRJFV45zXJ/HlCKqE48GsaZzlHO0e0+A+b3jLKu3HDGoLxnjAoLwYQtmgxuFld2DWHLUyutzUOTt/kQxQ7RqrQQllqT2eqvqSilA+fa3gfqdrq6dj0hyYHbXvGKhOpHexcH4OnG3V61krwhaLxmYvCHbAfVkQX44IrcVWtXbXPW3wqwO8NPjeV1+kLju0hs/ZdJUUeKvGl976OWapWTeFypHWQBZ5Hq7PgYBqmDCw2KvP8vwsYBZwGI34Urx3Of9G4n5I7fKXZo3bpE2UpqluCUs0eMUL7rfprQt9NI32youo+PeZ18O4bTFPy0MBwC5Nn9R1+f7b7YRL9lUBr4Iok8ZBDX6xwR4NJuXCVF9x5dbrpg1qFt7VeB4oNYbrtVtiCGUDgxqKDEr7gVryIjtnSgXc7Uz9O53hl6vqN7836S6qF2l6angiMvAyBiaeTpLzK/zZV28JJf25y8sjARrHzfB+OlzlQceGpA9fla3xuj/0tupGYhWty/YksSyR5U+89fRrf00/BkbaoHcpaslrIjJZNFzT+NkEN5UwWSKp6Yul9R/uiZh8BaCpiRC5bUZTbaUkLVsizcc1CDLBjRaNeKfQPKFp3GSDb71giXPeMtvZgaEgYnyWUAl9uM9EK4uJVsAQL9jn0LgjR5/MkX270ltjpFftPGYNqhEj9dotMYSygUEt4QJM1EVjEnAXGi2KCBBJu5Z+zpXFfjTeNekRk60S6THBIE3jLjM84tBo5UGCyOBUethgsxVWecPd0vgbjSuz9frlsvCWny6SH8ms3LRcGxqZJnFZdu1riMHYmxmuaYHlaQRrIHGba6zSU7ls71+E4moT/G2B+hqMsbu2zr26GArcq/wftDOalEnmT6iarHTP95yraRxx9sqWOmOZBPEBHnMKSknHlmyKV20w2btwf+axzibMsU4H7aJIOnY/E7Qs0Lu5Mplr06hngnbOmuQGZhNf+mk8lgPtzPCFFc62aEYLKQMDA0MoGxjUJnpgIhCNN4Ab0ehUYFC23VnD7Eo2o5HobHsyxwQXaPCNCUaI2Y20tnK+/CQvuNyu0ULTU789sSVMbUeiZzflwL92jU/8TgqnsjDXW2OjF9yeJY7KLjgGzlCjLKZbkhr9frrmckFeEwReWfnUS2Ohc+q9pJ67mWikmiANSDfBcRP8Ka2hRFg64AMLjFBC2fNrE/0wMcwZVb7hDLvyn5gw4r54O1tXzdH073ewZAYVSFEWQ6/zzBrzHLBb03siSxq2eIbI277VAoNPI4R3axBbST+Z2XaNLkWOgXk2Efvga9KQ7rr/8zOpdOv7fTRuzYEmJj0du3nt+xkbVCdGRNktMSzNDGocDpNcmo0r3Oloi4nbgZedUd48vJw1cq6I1H1u0njApPGWCTaZ4KAJntRgCBAug0LgCRN0BR51wFV2fbD8vgW+M5c+AiWp3GloHEdTr3sSE5pRZ1Yt9LGZVCRZ+J8/pJfSXE++v+m+8GimmD255verSc3XaTjbauJ/6TXbaKsquVgiidlwqRUm+chvXsv/nW42a+w0aewxabzprfGgL7zrDTMkJdcCR6TPrRUesZmU2ZcIZleZOjnOcAxUFWcDq5zlL6cjUJPSFPdFMgUOiHmbCRZqcG5xtcYmEwPN8IINptj09/qkKNECtddrHRovOp87oGlMsmksc0DfSviaNjk0ptrk2lJ4Z4NNcLOPRMkhXYP9TsM3EevdzHqt9B7D4qJG4RHjAdlHd1sMjIiyQc3DbjZ7xkmxGhF3VeEwUN95+0oRrUD7YtKyy8IPJt0J9XZNBsnQsMi2JKK9xQRvOCDK+VxLGadocAKNxy1iDKWpvpcSdZLOPt01OM+BqmX+wazxczGDquvsksp9crLEHQbItZV+NsjNgZVeKEMuScsuCalXfzfdtSnLdi9Lia9p4Bok1VrScofbpXWXpvor97ZrrDTrKcVyCMhv+Vw7TLSe5rOXiTUzJEqUGS3//FARbCUcA1XlFyHnVXG0HlDM8zKZYHY6P7srO5yp1qs16G2CsNNcY882y3kc5jvgqE3jSudp+Fk71LNr1DfBfxq8b9dY4YCLzTDUohuGuZofnOedfWYLHQs8LtelF3Ohuxm1D7Le3T56VPwxX0hwaAQYp4YahdVc/ecBA8/EqFE2MKiFSNuens4UbFGob4kLKCYmoDEFeB6tXA61Mrj9W6LVYuxSzP/L89KrOVxai6jXLEwkJm5xaGQhtaP6AFtOUn+a4VGLrK8pER6jwXUyEAO+NMMtqoe0RD0klc4Y4VQ3EqUdYpXUa40ZPmLgo9HLVrJRXG1MWa6JdHOYCMvVWGOBO6xQrwx14AucwsoDPGrLRBcNlkrf6GKCyh+apExFN17URbP7/Q6CnROrMzR45gxzkKEmEzeYNQaY4BDwkl0X1uKSLRHpA9rJ+uU3vSrPYXq6TWOdpl9jGhV5ifFeuvnYz04hPayIhgoxSVq2+30HBjUdieK60wS/8Ruo0UL54H47ge50vFUhWiXVZHlKt52USA1LmoZfpuYR77+6tltHwj/S50MMWexwZaJGo1xoHgpTzDAuqfDnJ2OK34Mg0QuibNA1A8KLjGaTLGCJgZTDEh059fNfEgj1/aBnBvwcAvWkqaXsa4FV8wxg1OPOllZ9gU5mSPCC+rmoujJBhHRcLLzv3CfxjbowUSPGWyPLVyPduX13x9OOrdIiLuqj/eDjBrAuFS48UnXfh2izVB8NmzgFnWk9Obal3tIzDpUyUxmJFaXZpn8Bz4ODZeht74iHCYl6RkLB0pDykir22yUcA+WhrL5TURItj4c9hyRr4iTHvGBtDNx2BF6oCzNFXB7UI8wu21cXbEydSuL18++BNAjM1c643SCnOeQ1XvB5KFybBtOk7kayjRKhiRXlXyFdD1y9r6t94YsQGJwJ52dAgj8cLHAMiOj/IVA/R0SYwecYHHSOm8RI8LkQGJ2lMTCnpPpEzWN+s6dr21VbOBHrAQNYoz2UW1JjhbKBgcGZ6ZMBjXJ00Zlmhs8j4PwUGJkCb8XAu1H6IOGSJNjtC985BzlNsiHLDEuCoEEOXJQEQdJf0wu+i9AfOx2dM+GPUEgRYVuS408RAh0yODv18Vgr7POFWw/Cv0Hweyhcnml8++5C/WwYfQRmxYiTLARXZaiwFGPDJG94u7F++6zj0D/RmEevLlItcNwHIst4bjgT7uJXIXq9nhV2+kErZw3/Tl/4NQzSLIUF2axQ/VzsTiRaINIGda0wNQLaZ8PVUh9TAvu9oWkuiO2AjwP6Z+kiubLY4Q2fhkDrXBgtuf6KU4+BCzPhlRDIMuktq6SP8zEz7HCOiv/11Xu4d6vEfTWoQtzjNGDggdTSmKtBTaa6XU49iTo2iLVBs1wYmwRfRMAmf4kuQ65JF79vxsBGP2jqFMDy6R70gSuPQ7QNpkXD4iB4Lwa6Z8BlEiY4DX4aXHYCzk6BsWdYr7TIHHG0cyAj+yFR5eNe8HuIRLeN48Bd6JQK0bnwa2xlxWBOQ8FUhdMQYYV7d0J8NvwZBc+0gF1FG70aVAnzI6BHij4p5ipM1Z1WUQDJwpkVpp+j5Mj8JgK6p8OjByHXrJ/Lnj0E233hX8n4cSP2+EADK1yYCk8cg62+epZRSRyzwFo/+D0Q7kyC89Irbx/X+MDbYXp2yIQCEw3mYo6BUA2uTodmVljtA3ss8FkgLPGF7rn65K/VEFc1BlMprgXVjclkdrvFwIgoG9RAzHaHWw2OPIV6zmjtlxEQYtejB13TYEAGbPGFb8NhwjFolgOb/WBKLHTOgIY58HM4jD8OHaS4uATyBHdZkEucfKMW5+0t/vBNpD64zENEct1c6JEODn8HP0U4aJILg5PA3zgcqp0jfqg+rFWZ5myxli58HWSHG/fpx9a8KPi8PjyxzQhCVCX7fWGPH4w6Xj3HQFUgGTVyKpJJRcnmCbNDL2fU8+swSLfok4nXnYDXY6BLpn7fHfjPF9b6Q7ts6JStT7DulWhxCRHX89PhrExdeFa2ndInoXokWURywdcy2049BtZ5w3cB0C0XZkg4GeiVAyOyIcoBy31gpj/0LiaLycDz8CrmGHA7jPZQbomRem1gYKAI0OCVg7AwSBfNMtD4NAIWBMN5ztn5CGcIoU02hNqgS4YunCUKnVEJk4+yzUl1xcW6+OdHJOnCuOBgcmAa5NqgnfT0BT6oAzcccm2UyqDsPLQdfo6DH+LhMnH5cUPkMBt2HJZG6JHlojyww5h0qQzkp/lrJAxLBB83EYaVRddMfVJvn4/u1ZDHDr+TEVrxflDnVT/oWorJx6rg3DTolQlfhkGcDVrmwFafkoWyXBZCq+jc+2ZC6dbba4EP5Dpn04Xy734wNgMGFBDFElX+wR8yTfq10cDAoHZiCGUDA4NCDCyQGnftCVgeCCudaYB7fSHCWf87OglmRMBtR+FhsUN1Mbt84cNY/fZFJyDUDrPCoWs69EsruW7EzwHnJsEf4fBTNIwXi2yDasNXg6HHYUpDWBMC7dPAyw0HoHlzMq3ToEuKfhz52SHAbojkymJdEEilRLsCwrEm0zBXXwoy9gQslAbSTiSaLOaH7iKUI+z6MiYVPgmHMSkwKwR6ZUGEG0xCyiSDXBNKM18r9cdCjAPeCoLWVpjlD21sejT5H0kzt4trPxwxQxMPCEYa1ACMiLJbYghlAwOD0yI1acFpsMEPRuZCvQJp022z4XAGfBEJNyS4Nq1Oxl15IvnRA3rannB3OQR5TC78FQ47/aGpmww6ayvhVrjiACyOgD8j4awT0LkUhkCVQaYZUr0g7jSplYOPl91wzqDs5Jjg9wgYf6R2p7pLx4EvfXTBJwMzScs+XNAe202QtOt93rA4UI8mvx2hZwGMSIdO5SircQWJZng6Ur99azK0LPK7LXpcyeVEynGuzQCr8/N+OFTPTBLX6x8D9PrkNtLazBDJNQQ3nJUtijiTu5M7uTvtSzViCGWDGodmMtX6VgiuRNIApU5ZKBo4GJwKW2Ngmx+0djq5ugJJ5RZuPXJSJJcJkwnN2b9llfQCAX6M1lM7O1WimYxByTTIhgaH4JgPzIiD/f4w8ljlRJflXCCIS/vuADjiC0d99b+pThHSJg16J0E95/Gb7QxJudJ52eD0LAyDFplQp5JqQfPOA+6OiM14q55JIzXzP4SdLHlxNyQN++1I6JcFF6bBPi/4NAyyTdDLhdeB0jJdelEBwzPgkxB4JFGPBufhKHIMSFeES53RZwkup5p0YZxu0t25AzVINkED1fvdoCagGcZUBuXEEMoGNQ6HRdz6PGNw5OnIQENSJl1tliVpiSOT9J6d5RVIchwIlxzTzaOkBctn8bDDX0+nlbpn2e28v0JHcUHNqt2RrapCIv3X7YdZsTCtPlx6SK97dyWJARb+ioH/gqFRJsTnQLcUiM3RxXOGl96q7Iu6kGOBm/ZAuvOqaBwDlc8JL1gdDLcfqLzXcHhXtoWU6xAzxA+jID4XWudAZzfNgJFPtJX0ufbWzbMa2uC2RJgSrmcIDKzC/d7oAwkWeC1Bf+25gfBYlN66SiLcchWwexU+BuS3XTBYL6L6gix4MxhSnRNll2RCe2OyrMZgK3IMuCVGH2W3xBDKBgYGFUIEqLhkuxLZXv8012wrz8RLXLxvPAibAvWBkqpn05wLekRB2tMs0HSnbEMwVz4ygTHmCKwIhakN4ILD0LiEQbYMhpO9dUErLadCiohrORS3BsHycDBHQtMEuH33qZM5qhzUOREjEyff1YH3G8HwY659jwanZ24kDEg2jPby6JcBvTMq3x36dJywwOQoPe07ShYbRDuNxeRvQaQn9AqnW7Qgdcq3JeliWZzth1RBL/sfguAff7gjWf/MJHX6ilRY4geL/OC3ALgqtbAoLg65HgzIge45sMIHpgdA/5zq+x4MailGjbJbYghlAwODciPZbakWCPaQOi4RzT3OIMA7p8OWgJOC+bKjrp8EMDh1kCq9c+Ny4Md46JYMPZNPuh/LRMyycNgVoAtkeTjMqqenSgq1jwMaZukRY3l+VaguoHslQawXhCeV/Im3Tod6Wfq2uqZAy3Q9BVsE9H4/yLZA3SwIcAPTopqCZHYc94ZxhsleISzVXGYjvzsx7BKxm+AFB73gtyC4IVF3iS4olGcUUaDibj0xEV6K0k2+JIW5Mkgxwx4vWOwHgzNPOm/LhKeI3WQzLAyAhlb9/ZR2N6TiR5yv++caGSUGBgY6hlA2MDAoNxLdk9pSN/ScKbdoa50JrTL12smvYqGHpPCll85N1aBitcs37IO5MfBGE2iWAd4O2BIEHVPh/KO6GZhvAbEqA+BEb9gTADsCwd8OVx7QTbg0E6TGlP71xx6CDxrAhmC9jZXQIVW/L9sSHttmRJlcdd6QdlAjT1T+56kZSfSlRs5xXbLgzyC4PBnaOM255O/UCLjzOIQ5Topi0c1S1xukFU5jbpsDa/z0GmZXIrvzVpieHt3IBqOkpVOR15A66c2+0CoXrnBOih4r4zFglF3UQDzhSzUiym6JIZQNahwmzQPcDWsIUt8rImJxEPRNrznHgUrFS4Z/Q2FGjJ4i3L6WtK6pTiQz4ZLDev3w5mA9qnvbntPXwJucpluRKXok+BQcpT8GJEJ94RFYGq7fr+eMUrdP1dPz/42A9xtCoyzdfMygfEiJw5dxugN98yqoZTU5jDSAsnBeGvwRBK9HwVhxkM7VhbKkNUv3g36Z+u9OluZWWFuMII60Q0YlzCzOCtQNti5NL173LPSHmYFQ36anj+dhNo6BWo+pDNeCasMQym6JIZQNahxmu8MYHFURkop6brLea9mdhLIMjs22ig2QZZx33z5YGgK7/Q2hXJWIMC5W+JYRi7VsefMigmUpjtBj8E5jSPA1hHJ5kQjk17EQYYURJ6gSynoM1HbkvHe2mBrmwJdhMDoV2ufApcnwU4guls9P1dOwh2TAR2F6mnXBwaSceV2dKbDTCzb4wkNJxYvkY1Ki4au/9pWpej/k/PdkM46B2o6XcQwYlBMjm9DAwKBCKZR/hMAIN21jUlGkvk3SsHf7VfeeGFQ3Erm+excE2CDDcPkpMyJVvo/R677PP24MPtydxla4KhlmhOrpzHL/zhPQIwumRcDvgVDXBg2ssNTZzi8Pid2ZXBDAE6272wtmB8CnIXBJuh7ZLo5QOcBMMCirsEg2MPAYpI1ZnvO1WyyekK9e+RhC2cDAoMzkmmCVDF6ioGU2NHHWstVEoq16CrCYShnUbvzsermBtESrKOm16HgS3TIjWv/sLjpmDDw8BRHB7bJhTvDJAWO3LLg3AVYGwAo/OCcDfguEZX4nTbNEzIqDdkUQgfxYJMwI0l93Qiq0PUO7QOmHPCEF1vjClppimmFQu8hLvXanxaD6hfK7775Lo0aN8PPzo2fPnixfvjz/ua1bt9K3b1/q1avHc889V637aWBgcJLNfvBnCHTNgPNK4SrsycicaqNsWBN0st+yQe1ku9RIZulR0YogvZsnNy382GFfWB8Mi8P1vs5Pt9CXHQVa8HgiSV7wcbw+2XTpMcMMzdMYkQabfGF2MGQ6A0wBmu6CPSsIZgRD/0xYJBOnoZBh0lOx5X+OlkEsy7b/8zl5f5OPHh2+JxlGZOp1xyUR7oA6NvggtPDjroiLfecPKUaAzYPxgBplA7ekWoXyt99+yz333MOTTz7J6tWr6dixI+eccw7HjulOKbfddhtXXHEFM2fOVMu///5bnbtr4CFoJhPIYlApJFpglaTd5ULXTDd1vDaZ0FyYNiTGXtsC4J16ejssAw86F7gQMRhr44L+3puDTt6W+ncRxB80hBnx8Hs07AzUHb9l+bIevN/A8yZpZFgqk0sf1IF2GTD+qG6KV+X7YaQPVgh/De44oWcRvRQNO5xiVvosX50Ch7xgSQCclaE/NjkSDnjprZlejizda8ix/XkofBwGcwL0aPI+b6jvbPtUFuKk77P1pKhX2y/lMSAB67l+hf9X2G2BhX6w36LfNvA8NE+IjuaNXd1pMaheM6/XXnuNCRMmcO2116r77733HrNnz+bjjz/moYceIikpia5du9KhQwfq1KlDcnKy8ZUZlIjDYsZk/MArjf0+etro2ET3FkhyHLiK+Fx9oD+pEeTKZg1vGI/A4e26Ua30lZWIct9E1whu4ZnmJ1tPnZ2g94OOzdFbruUhEWURy8+2gBv2Ql0PKHPINMPMKEjyhmsPQ0w5BI87HgO1lRAHXJAKsTZY4w/NnCnQTazwTAIkWGBKOFyRAq1y4KtQkK9cUu2lp3FeS6nTMS9Q/3t3or59SbcWAX5VKaLIRRmYBd8GwavhcE2q7pJt97KQZoL/BemTNfEOiLdDHbv+V1paiQD+zLkfQ7ILb1PEszAlWP+fR1PLvl8G1YvNywPOA+6W7uxO+1IbhXJubi6rVq3i4Ycfzn/MbDYzdOhQlixZou4/88wz6n5WVhbnnXeeijYbGBhUDyv9YYGk35mhRwYEeVqIqwLIW/3T2TYo0BDJtRIxJ2qaCWtCoU4F20MdcJofiUiesBfqnEH8NsvU+zdLqvZHDWHYMejtojljZbqEa9nnC9/GQqc0uOSY0VqjJtEkV0+xLojFGcW9NgU+DtUdsq9IhkiHLrBLc3z95wsXpepp0/UyTp5zyzNM3+qt91GWfusSnb4pFZb7wh+h0D0X+uXAYQscssB6b/22vJZEzEXc35N2apbUxgIp4a2qcdLHwMCgYqSnpxMUVCCly52F8vHjx7Hb7cTGxhZ6XO5v2bJF3R45ciQJCQmkpqYSHR1dTXtqYGAgHPfSjbvOS3b94NqdsTuNiKSu9NHdp3ddNajZpHrDFuf1dbiLam1HHDuzSM5DXuuBnbAlEBpXsPfwCW9YGwx7/SHHDB3SoK+LhPcJL/gmFi5K0PskG9QsYmy6qWFxUeJGVrg5GV6JhH8D9MjyjaU8rqRPeWoRVVwekZzj7KV8bgZ0yoFou37+Xi9to0yw1ge2eeuTXqYCnQ2krloYnANNipkIbWHV/09Y4Acjs6CI0beBQcUxIsoV4vXXX+fuu+8+7fNpaWkMHz6cxYsX16w+yr6+vuUSyYnREaT7+p5SnyS91KTHasGhvqRk1Kj1tJMjeYtar8BVQQb+XhYcJjMmyraePC3rmR1aIVsEWU8TK/ki26uu9TKDAjD7W/HJ1vPDHPI+SrG9ktbL+1jzX7cUn3Np1rOZ9dct+H2Yz7B/pV1PK/i61jPsHyWvl2UxczBEo3UWJIadfB+FXtf79O+3pPVMea9bALtzvWNemopSac73a7FrSjjEWqFO7sn1Cn4udouFXC8vHN5ep75uwc+vmNctut6SEPBy2Gmeo/FzlN47Wvr8Bpgs1LGZCbGVbXvFrSc3T/v52bX89Nwzfs7FrCe/34LrnXb/LDVvPfkssiOD1bqu2N4RX4gKs+Nt00hqoEesyrM9+V3mzQ97me2kBZX+/daVyFe4XktZ2tfVfE8eL8d94J9wqJ9mJ9KkEeiArTFw0AZNbBaaZpfuuDKpsobCr5uracyKgiHpEB0ByeX8vbl6vczYsGLXK+68UZb1LJrrzn956xXMdCzL+bmk9aQSqazXj9OtN8QPvmoJ52ZaCCryPmRcMtBPU5HhVaGQ5K9vr6TrYD9vWFDHQmy6lE2V/zq9yxsifaBbhr5egtnMz4EaYWFhtLeKp4bY1uuvqxVznQ4KhqPFvG5jX0j2t9DXaibBpHE0SBfKRdeTTPHjPhbCMWOpwDin6HFQnvFa0fVMzpWrfXxaTeslh3i4K6IH8MILLzB9+nQV7PT396dPnz689NJLtGzZ8pR15ToowdC5c+cyY8YMxowZk/9ccaWTX3/9NePGjTvj6z/yyCNERkZy1VVXnfJcRkaGEsknTpwo8/uqNqEcFRWFxWLh6FE5LZ1E7sfFxVV4+xEJiQSaPaAmoRIoKJBciTr/eACpESGY03PxyyxSaOSm798TtvtXkKSsQK/CP1eXUWRsevJx4NUGzlBBcXjBzYehYZG2ITmBfmT7+BCYULFishRJz6sH447A13FwyT499TzNC5YFQ/1siLfCfl/ol6zXMptr6DHgaUideqrNQfCBsl8YiyIi+d8YaH0UBldwc6tDdDfghpnQ6UDlO2qqsbiTtRHQ5CgMKuBU/2Qz/W/8cQgvbQSwyE7LVMTncVB3L3R1Mxd8i0kj7MBxl2+3MjzCin6u7rjdQRLA8IfPg+CmZIgtEoGV4e4HYdDwBIRllO74DvKB3TlwIBm6ViC1uY4F5odARIFjMDsUUswa/fYdU+2uZFQgZmGy23aZQJDyBptep3w6eprht1CYAbyTdGpG1XEz/OULK3wgNBMSzdDADi1tMDS77NknlXEc1HbfluwYZ+2UmxuOuZPpWFn3ZeHChUycOJHu3btjs9mUcB02bBibN28mMNBpAODkjTfeOOMxOW3aNCVs85DJrpL4/PPPufLKK9W6559/fiGRLKW7kqEs++gxQtnHx0cZdf3xxx/5MwkOh0PdF7drA4PyYrY7nLOKBq5gtw8sDILBLnD7LStymn5hX/HPJVvg5TrwnnNe7Z5DEO00f5Hv32yr+DHwd5iepvdFHORYoEmWvk9Sz7YwTHfCtmTCMR/4OhZSvCEuBy4/CuHlMKIxcC0SWXMFGRa9rnj0kYptZ2sg/BIHDTLhqioQyUU55AvdU07el09HnLUf3lWxVPJfI/UU1qFuJpJdeQwYnKR3FvhqMDUMHjxx6rEjader/PUU7KuToXkJ4re5c6LzszCITtINuMqCzKP+HAT7vXTDsTxEsG73gUi7nXl+0MoG7wWebHEl/ZZlqH5LOgSf4TVjHfBkCjwdCifMEFXg0iL/9mYQ9MyFh1MhTNP3R8T4dwH6ey8undugapFos7ujaZJx5EZCuYz7Mnfu3EL3P/nkE2JiYpQf1YABA/IfX7t2LZMnT2blypXEx8cXuy0Ru2UNml588cXK9Pmyyy5TxtCDBg3KjyRLEFZE8ulez21Tr6U11NVXX023bt3o0aOHmmGQN5Xngm1gYFD9HPKGTlnQX9LZcB/C7DBpPxzxhjfj4bU6cMEJ3WjMFX1fk501adE5EGGHw356DeZOf73GM8s5Ojw7EZXCajXpYnl7ALzWQHcvHnkCmrg2scGgGmiSqUeAD/lBVDkjXnv84Zu6UCcbrjlQ9XX+mlMoF6yJln0KsldMJC8NgX1+cMOhau43aVCldMmG1QGwzB/6FKlHH5ClL/MDdKEq/Y3X+OoZsUOKiTLL/bGpMD0YVvmWXSj/EKwbbo3MgL4Fzrf7vKBTNoxOht/t8EgodMmFc7LhywBobIPxmYWF7+mIccC7xUwE7fCCJDOs9tGF+VWZIG9VRLm8D3msOKG8T1pO+eq12V1zoWOuUfds4J6kpqaeUhIrS0mkpOizshEREfmPZWZmcvnll/Puu++eUQhLZPqGG26gSZMm3HzzzUoXliYrQv4nMTGR0aNHq7bCTzzxBIcOHVIiWbonlYdqFcpjx45VoXB5I0eOHKFTp05qRqKowZeBgUH1IUYrqkZbImtmXRS6E3FWPer8XSTMiNTvlzQPmW6Gt+tDplMhdEuF/snwaTwkFrA8jcqFhLzrgQZv1T9Z/tQiQ69V9nN+HtJ25KojepTuxxg9Rfu3SLjlYCW8aYMqRb7yIcdhRhy0TSu7sDzqA5/Wh5gcuGFf9ZjhSVQ83UtvPSW/5RUhMCcaLilnlFwmjD6JhxAb3HhQjzAa1C7OS4cPw6BbFhQwhs4n0g7zgmCbDyQ4R5stcqBhMUK4VxaE22Fh4QzNEpGexyLCb5DWVEUmseR6lSfKL8uEMVlwfxgs84VxIqrLWSpTEEmvnpSiZxlJ+6kN3rrho4jnjd56O6mCSJuqnV7wYRBclImqnV7pAz/66+K6Wy60t3uAgZCByxH3Fd2BxT3I25f69WXgc5Inn3ySp5566oz/KxnCd911F3379qVdu3b5j4vZltQui5A9HdLxaPDgwQQEBDBv3jxuvfVW5VZ9xx13lGq/H3jgASWWhwwZQqNGjfjrr7+oV68e5aXaf4uSZm2kWhsYuC9iXrXdF34Ig+WBehS3sk/le31OplTnEWqDW45C6GkyqC4+AWsCYUoc3JYEIUWe/zMMFpyc2CzEyhB9Ea44DC2zYGq8HnHL4/Ij0Dgbnm8MXVLhgtOUPcpnc9ExeKqJfn9rACwI1/df3IUb5NQu1/CagtSjx+TC35FwVhnrlGc6j+Wb91bfd2/RINAGk/N6gTsR/66yIhNNK4P1SbRbDtSuVnEGJxHTrqbymwiAoZmnfjIdc+BzZ2mhj0M/7mYEwzkZ0LqIr4QgadNHynhxkRTqERmwwq+wUE4xw1xpD5UCpkDd2VpaQl2cCXP8oJPVNRkQ8nsOcc4kixv2D/5wvMB7WOSrp253tOomfK8HQ4wdhmfBWc5rgeyLBOXFlftvX/jKAp1sejurZnYjU8M1uP9MnrumXu/fv5+QkJMjqtJEkyUivHHjRhYtWpT/2M8//8yCBQtYs2bNGf/38ccfz7/duXNnlWn8yiuvlCiUL7zwwkL3vb29lR/WnXfeWehxMRzzKKFsYFAZJj613bjClXTI1h2Efw/W74sBigy6y0qWSY86JVn0SMOZDLTyRLIIU0kNzTLDDn94sS48cgCCixmYyyn93kMwuQ58GGdiWLqJ+Ex9X+dHwA5pWZKhR4wlqnb9IT0VdWodGJAELTKhfs7JQYmkTf+vHjy9Cw776Cm365ztgcaU4A2kXLlz9CjeT1Ew4gRYzTAzGmwmZ5Te6bwqS3QunH0CYosZPBpU7FzgSkYdhc/q6YPbgSdKL3rz1qvOs5JkP4TZoEcKzI3SSwfGHYbWZSxVkJ/etDr67+XRPXptsjtT1BnXwLWMSIc3IvS65UDt1PPgxanQNgcWBMDiAH0SdJ29eKEc6oBsE7wfol8n0sxwa7I+UP3HX29B1aXAOTrPSEvqkyWiXJBFfvq69ewS2TXxbYh+7F6UBUNy9OjvnWngV8r3ecwMnwTqEWwR3dEOfRFxLEI43QTTnNcHEew5Jr1O+YQFPgiCl5LhF39xl4criplUkDnZ3rn6Ii24VnnDdD89NbubFXrkQt1S9qU2OBV3MsnyNEJCQgoJ5ZKQ4OesWbP4+++/C0VyRSTv3LnzFGOuiy66iP79+6vIb3H07NmTZ599lpycnDOK9NDQ0EL3pVbZFRhC2aDG4bBIiwnjcuIq5JPskAX7JY0st3wD4wPe8HaBCHH7TLiiQFRufQB8HVX4fyYVSVHd56NHiyfVg2uO6T2dhbxmELJIvbLaZ5OJv6PMylwrj8uOQJsiA5Q1zoHN2cXUnomD9QXH9O3WzT05SZD3mZREpFX/rC45dtLYq3MaJHs599fZ3UOWLeIiWweaZ8DgRAh2f98Rj0Ba8biSQDtcvR++qKdPeEg6dmmOhfOP6H2YqwqZoFkYASMTCj9+g9NALNyqC2eJkJeVTUH653BOIrXyGDAoTKQDumfDp6FwbQr4F7k+9HXWL5+fDsv94fzU05t7yW/p+lS9fEX6NP/rB1+G6OnKUnssEeLfAvSa5zHpEOGAuc5U7TZFjmXpobzKTzfsOuZroWsybPWGunY9vXmxD2z31lOfS4MYeQlS1xzi0EXwfgukmuCOdJAub4+mwNeBes2zCF3htSSY4Q+PhUJTG9yQXvJrhWowOFdfjpphhTd8KMaRQHerHmmOcvMJKndD2kS5O5pq7mV2q/0pa8ed22+/XbV7EtHbuHHjQs8/9NBDqoa4IO3bt1f9j0eNGnXa7Yr5V3h4eImRbHHKrgwMoWxgYHBGJIXtm3B9EDO2nK1xJAJ8Vip0ykD1RP4xAh50tjVslaULRaGZRCUcehp10VN0g1wYkQRzwuGTGP0xEb6bi2mPOOYE1NMg6Bic8Naj0pJCXpSG2XqU7XR0KTKoEXFRWkYf13vtFrw8yyUwopjXkxrp9mmwKBzeq69H+iS6beB+yHEkjtVf1oXfouGchJLFsmQKVGW2wJYgWBGup4gXLPk0Fzjuy4Mc/n9F6Me2gUHBWuVZQfB2ONyYrIvcoshvRLJoemWfOZW4oIiWdaXed1CWnmLdNhcOS7TVD5b4wSZfPVr9SsKp5UAtrfCflPCEwjgNDpr0TKbp/jAuU48MF5eZdDqkzZOI5Fzn/8n+SDsoMeT6zwva2KCOXLsyYWqgngUlfBWgR5UfSNWfLysSrT4vB87N0Q3AlnvDq0EQ54BrMnWX7fKQg6bqyvP6KxtUPw7NrBZ3oaz7MnHiRL766itlohUcHKy8p/IivdJXWcy7ijPwatCgQb6o/uWXX5RDda9evfDz82P+/PlMmjSJ++67j+rCEMoGBganRdLg3oiBQenQX0RjOWsRpa54uDM1Ls6mR5SPesNWP1jgnKm/8AR0LyENdECavogT99vxukjuLelzDjjoAxck6m7YOTJQ8dUHTzHW0gvhkuiYDs2LSZsrjuKE+ZmQtPQhidA4C76J102WGhmO2W6JHG9XHICv6sKcGBh5DLdiltMPc68/tCniSFwRNgTp5l3GcWlQELMzYhzhD29FwA3Jev1yQRIt+rm5LENvMcKqU+B8W9+mL1Ijv9YXLk4/NZJcMI376jRY56tPvsqEr0R+PwuAf330mmFJiX4kVY8Gl8QFxfyOGjrrjAtG0SWaLFHr0Vn6bak5luizGHiFV8DZWuRsQ7u+XJQNf/rAy0FwfSY0tZdNID8WpF/be1vhcuMaY+AipkyZov5KW6aikd5rrrmmVNuQumJxxBbTL4lQN2vWjNdee40JEyZU2/dkCGUDA4PTIk7ODhN0y9QHOK7y7JGBRaNcfZHexxFWPWJcWuKtMCRZF9anM/eqDGSwUtmu39KreewR+DZOr1uOz9FTXQMMU5eyU4nBEpnYGH8Q/tcIeniXv21UZXDJIfi+DuwOcK1QloyHUUXSud2dsqYPGpSfflm6QH0vDManQssC5/QTJXhTlIXBWfpSEnKqlsnSQM1EstMBW4y3FvvqIrZ3kXrn8qaeF0TqtG8qMOF7ZSYMzEH1cf7ZXxe60gqqg1VPsS4Pss9DpGbZrqdkj8vSzb9Oh7xMikkjTDOpKLJ8JpK2Xlzkv8biAacBd3W9Li0ibMtK0f+RnseyuBOGUDaocZjK8WM1KB45TTbPhq2+0MWFA+6CdMmUFJ+yX/OGptbc46BBNlx+GP6MgKWhelsfSfm79Cg0K2VE20DljlXqxyA16O3SYGMIDCpnWUJlILX08dm6UMZF+5Xgrddli/u3G5XRlYjJUZvUQPXTPgdC7DAtDEal632MxcjxkBdEVbH3gjXf7d2hIspyNhicrdc4t7Hqac1VQQM73JChu15LnfQ6b5jtr4v1zlKLXM5OCK3sMCJHT/0uKpTlvdqcn4HUS0sK+FPpGr/56Ons4i4+qIxGfp6MqZKvBTXZ9bq2YwhlgxqH2e4wBkcuRFp27K5EoVxZg2OzzbMHyHVz9FZVeRzw1VOy793jEZPjboHFWvkjcxHK39SBdqnuE1UWoRyXA9sCdQddV5jD/RcELTM879irimPAoDDSJ3liEkyKgi8KGNH2zYQDXhBjK77vcmX8DmSC8fMAO7ZsXTRKTa+kS1cH8p7FPEwWOSolHfvNYH1CelBO+SPav/hCghm6WnXBLFHt1wNhu5cuivP4wF/PhJGMLhHvki3mAV2TXIKXzTgPGJQPQygbGBickS1+eoRAapqqYnBjUDz1csDPDkd9IM5oI+U2SBuwNC94tzE8sc09hKS0HzvkpwsFaYXmCqSVWiMPmiwzqF7EdfruEzAnCDrk6O7NywJgn7hQW/QSlli73vJpSEZhMy6Z4pR2S6o/cQUQw60Xj+uGjpEp7nX9kvfbwgYDs3VBW16h3M4GL6TBZq+TLaXE+GtCJszyhbXe0MOqC2kxAxMH8QtyoJfqI+0OZyuDPMTx2r1cr91nX6oTQygbGBickQnH4dcQeC0GLjsBDQ2RVm1I2rX0gzaEsvuQ11M52ds9RLLQJh0WRkK2BeZHwrnFuAKXlbMS4bM6utlc/BnqIQ0M8mhgg5uSdZfqhUF6VtJlqXrmvqRCH/GCRQHwWagulkXYSrXA90G6Y7W0YZJ+y+1ydRfr8iDiWKKosm13RKLbz4fAam/oUs73KJ2oOtr0FHcpj5jrq7eWuiwbBuXqYrmPFcZJlwfVltBdzlQGBXFgVou74E77Up0Yn4KBgcEZkdStC1PgwmT4IhIyjLNGtQrlncW0wzKoXnok62nO0iPbHZAo8tUH9AyEzUG6WK4o0t5q6AmYFe2KPTSobYTb9W4FT0XrE0rhThF8XbL+3Ixg+DAMJkXoqcGTTsANqbrp1DfBsKEC4WB3loXRDrCaYGoQ7CzDbFZxul/cvIMccG2BzI94h17H3NFmIlwTiezOn0Zl4qYzJQZuj5tc1g0MXIdmMmEy1daLQeXRKge6ZsJP4TDejYyLisVkQjPXvGNA+jJLxMCg9OeCqmoX1T0Z/omAUW7SKkraOJ1/FH6Pgo3BMOxExWfGE3wgysMySmriecDT6JqtL6lmeCkSXo2Aplaoa4U0s14r2z9Tb/UUUODrirNDXBY0tsLHIWBK1w30REhLm6jS4nDTY0Ck2zcBEGPX09FzSrGbtxSo+b5Y3L9zT04EdLbCMm/9MYMin7XJ/Wf4DTMv98T9jxwDgzLisJirbIBc2xiaAglesK68zSCrCPn+5TioaaR4Q5iR9lpqHN5V12qjZzJsDXKfqLLQLAMypR7UrvdUriiLw/UUc0+iKo8BgzMjqdTPJujp19IqarePbrYVZYO1fvBMFLwfAv/66b2HpaWT1Cs3ssHwTFjmBwsC4O1QOH6a0/sWb1jgr9c452H3snDQrLtAFxSpf/lCUjUOFSQCvNsCzWTHND1F+qNA2GspvJ8rvWGFt94KqiALfeDhYJjmD4kmGJgLfa26kde/HvY7rWxsXhaPaQ/lTouBEVE2MDAoA6IBLk6EL6KgfZYx01bV7JSWIka0wC2RqHKLDNgQDP2TcJs+6NKHO8ULNgTp9cUVoW0atK5FLWUMXI/o23o2fSnIgCwQP6ttfrDJB1aKiBXzKTMEOyDCrqdrt8rVBbTUNxc8F4q4nhMAqc6x/cwgPYo9Oh0W+cHKYP21pR2TLzDfT1+vsU1P/c4TpRu84ZAFksyQbNL/NrHpvYpdzVeBJ9Ov5TWC5Pdqg/cC4J4M/XGHUyhLS6m8soqXUyFv3ksE8mIfeC8Q7kuH/lLPbYNXA/WaZ+fbNDAwKCduNPdtYGDgCdSzQrgN/vOHtoYLbpWxRSIN/jB8f9W9pkHpyTTrdcrXJ7rXpzYqAZaH6u1oXNGy7KAfdDR6eRtUAiJgO+bqSx4iFCVlO9GsC+cd3hDqONXNfbWvHp0u6Pwu6xy36KJaENH9dwHleGsaNHT+MCSy/GWgbojVygoHLbDHAn1yYaT0Dq8E3kjSxXvRuJ0Ejt8JgKuzIMUEnazQzgpfBsBNmSdFshChwXk5+mf0uT9clwUxUv9tk7ZYevuoMdkVN/MzqHw0zeRWvYtlfwwMoWxgYFAO+qbD4iBDKFcVKRb4JRrGH9YdXA1KSRVe523O8U2Qm6XGR1phxPHin5NDaVkodEnVaz9LokkmzIjFo9BqrXlRzUB+VmEOfZHc6a6naaM0IQX+9dcjsuK2LdkUswNhehCYTSauzNQFsKRkS3BWord5LPOBGf4wNBvq22G6v96L+OE0qFuJ7XdPlx3d2woZJvjGX2+zJWZfO7zgpgy9HVRR5AgfmwVvBMI8HzgnF0Znw1If+NVXN0TrZNOUmVetxQPeutEeyj0xIsoGNQ6TZiiJyqZNFswKg8PeEF/OlhaVTU05DmR8OD0W+iZDnXL22qy1OLQqNc+SPsPrQv7f3nmAt1Flbfgbdffee3rvPSEJIST0ToClJHRYyg/sAktdagIsdemwdJbOQkJogRBCGmkkpDvNae5xt2WrzfzPubIc2XHiJlkj6bzPMx5p5no0mrm6c797zj0HGFUFv6BcD3yf4LSEX17Qdl+SIl9Tzmhyb6Xc6v6AJNMviAkGa/SJbh5OVD0pQ0OJjoJcycIae3q90zXZHbIkkzC+zAysMgArjMC59cBgm2+11XSKMu92rtSSSW105q8zA0+GAzEK0M/ujHZNAwxkWV5Bea3rFIT5g2L0AlI3PguYwCJghXJahhbhWvU7myh+9ONVHJ4/V9kL3z8sVIE+XEGIux+WB/BWf8tbx7U7vHuup0DBxiRglAdGqT19DRqMChp0CiKNkl/cr+Mdc6FOQbgWOJ+sK+4hYX2Ev+gOWZIQEiUjLrX7rtlZGgVvJQBnhpElrGOfq/GBx10SFOGhUG0CHGlAVjt+y6c6FLyVCVxpAwZSuGIP4o1rcDhKRqIX6oA3ztVbdcBbcYzUfg3+AaBAVvA/rUNMjbBEAWn65nUh167ARm7N4cCFeuBULaAPb1990Xgpmrak7fxxH3AoeEMvY74M1ClAvAbQy86o2n+LBG43AdMMnrvIkkojirekQa2JtN2QFY1Y1IKazsWXBKxQZhjGu0wF8Ddy+YKCiCAdpfY2uzUKluqA+xs6LryY7idHlhClKNikBYb5gcVVBwmpsiIC/vypBbLa4TZ+ql1CL0XB0wbgcauCxGB252RUT6pGwvk6CVeYgOhWsmGM0QI0jtJDAxhUmC2jQVHwfL2MKEnCjSFtC5deWglPhTlHRmyKgsMKsN2u4D2Lghl6CZNbDBQwakJtkabVdC6+g4cLGIbpFOTCNQbAz3z9vIIZCv5jAGZbgSgWyX4DzSHc60f9ixwZiKLUNB0YNqdc3hkKkKB+Iw3DCFoTyUS4JKGfVuqySF5lV3BWnYwnGmRUeXDazxY7UCoDK+0KSjrogaeXJKRoJGFBfi9Ci0tNGuhUOBjAMGqGhTLDMJ3mbAX4WQIOihlUjKdQoOB9AzDSAQzysHtrUOGDeerFGiDFT9zTCZrPaG9MM9NeyFgeodCcSQ9Mu4CCSi+2H4ESq4DpPJKXn0+yoiBLA4zWAisdwOVmBa9aZLxgcYpmcv8mimQFFYqCbR2YxlYPBalaCTP1EuZbuS4HMhTxWm0Lw67XTABCcxM50mn3EAcJf1EUvCoBjyiKcOVUBxIUPx45X6EFSiXgGs6Z3CWUbp74a4eCPA1wokoD3LU2ILNEB4xwAAM64CreQwb+o3f+f1fEshUK7qF8uRLwtpdS8Mi+mPzNqApZ8k4dUBQFqx3ACxYFvTUAhZBIkoDhWiBRkrBZVnC1WRHpnKIlBfsbdS5NdbjHROWO/9txKAp+tSnoo5Vwil7CX+tkzDIoiPKTecFqwh/6Axz1Wp3wHGUm4HBoNH7RKAYKEwCsB/ClBFykqGewxB87yB/pFVgkYLMWuLvBOYeU6TwOb0UxOoZl9F0jkKwAGX5kUSbMEhDfgd8u5XmlK0uDOYld+M1v0QBaBYgm11WNgoleqO/2bqwDjDqxeSmw6/d24DUrxegAJukkRErA+RKQqQGMkoQzFMCVqGC9AyiUFXxrI5doZ6CttthgB9bYgXMMkhDHk3USFloVXGri50JHsWm4HWA6BwtlhmG6BFmUrlQU3Ecj6VDQh8Vdp/lFD2gU4HYLkMRBkvwGsqz+1+jMffpXPwq8Rr/doQ4F1RKwowPjSgelxvy2XRwYo1y1JNBn24CnDECGXUEm13vGDyBr8iYHcKoOOF8vIbEVKy+JZUpbRZyoA/IcQJ6sIFXjFNZtMUAHRDQKb+Jkg4Tn6mVc6ukvw6gCtbk7q+lcfAkLZYZhugxFvZ6uKFgmAX1UYlX2RyhVz/P1gN5PhBbjZKMWOKAB/u6H946icy/UO+dW10JBeDvOn6zm5Cmt6YLL9et6p1U6ktJUKRJGORRsJ1HA7QejEiFMjiHrZGCQBghz81KjOckPWiEiSj9kal0kt8YKh4IiGbionZGnl9oU4Z7tcrVO0wDFsvPcJPaaCzhkaMWiFtR0Lr6EhwsYhvEIxR1032Sa44CzY+ZvQosB1uuAqTbA6If3rq8MFJAQoDQy7ewX0fdMUYD9nfy69eRWqgViFeCaxvncPWVgt/9dPiYA2SkrOLcBOL8BmGcFbmgA1rkF4KKAXTSl//UQSaSfai+HZIigXJTCqT1stgOj9c0t1JTieYUd+NUmC8HMtBNuW5hOwkKZCTi8HeGSaR2aj7VIAg6r4PpLfhjtlsQDBX1hPEd31AEbFGzVAUPbkYNYjdA8+GsszijWNOe4vfSWgV2azs3lfsngTEl1lv3IPPxeMrDHCz0STQdT6jCBh6YD7cAyu4K7GicWj9UALxiBh43AK1bgN7uCSkXBFplyFAP5Hahaux0KdpFQ7oAfZ2qjBdkdSmU13ypjvkXBKw2KCPjFtI0/9AcURfJ5lOvmC48uEOx6zQQcOocMjeJn0XQCgBRIuEBRMFcC7lUUxPtwCFdSZGhk/6oD9RIQov5nuV+htXcglHMn2aYFMh1ol8uyWhksSxjsijrUTqiuHpY67jXxit4piOdaKCjYkQPEiiFOBWVQRDR9T6F1eL8OMOpG1846cEhW8K4dmKIFRmiAKW7ziE/VKXjWBphszmkHYRSMzgGkt3NwZ6FdwQitM7dxe8nSAr+3iKB/V6jzAxvoWWuW8bEFuIyDe7WJ3g/aAY56rU7YoswwjMc4ERLOVIBHJWC5cCVm5dcRi3IoXy6/4w9Kr+Sn1uTOUg4Fv+iAme3se5IALpIU3GB0ulyfZKd5zkcEQ4Gk4GW9Iqza+/x3vIHxYygi9c0WoExxWpDcRTLx38bf+AMGZ5T2U6j+d8DURPOSd8rASxYZ1nZaN3NJiB9jOoRJknCaQSPEPcMw3oMtygzDeFwspysKvpCABQDOVxSMFqNy3ANuK0UPu177H1u0wLlBlu/6Ez0w3Q4kHMc1zwJFpH8SixYoayx6rg2Y3kJg50vAei1gUoDe3O9nuhGa51tHAfkaHZAmaYFZrfSMyQW7UgEGaIB3Q5yVuSMBtVI0Ep4ykQu3grsaFMzSA2O1gPYYx2hozKH8Qtix7VkG6Uj6Kcb/4ajX6oSFMsMwHqc3JNyjANvgFMzzAeGWPbwxJQ1zNOx67QW6YV6aw89d5l1eH+0ZyLJDwRKdU9he14Y1+R09UA1glAycanXOSabgX31aEdeplCZKBm5wUBRsKejmJjK+iVuywK6IucYf2el34ITSOSW1EqArSyMhq4vnQcG4bjMAqynSvE3Bf6xOq/QMPRDTQjAvtykYoAXijhMsjM61QoaYp3wswc34Dxz1Wp2wUGYCDlmixyI/NNTAAEh4QFGwGWgmmAd5XTBLUPys42Am12tfn0SAoWi8P7tIp5CAdHZa/ZHP9MDPemCkXcGNVumY1uFlOmCRDsiUgZtsR4JwtUY1FGzTAP+yNI8EfqzUcTTQQLmce3pB08rdUAcYdSNLR9eBn+wKvrQBVY3vEyUgTQJO9nJGHLJCj9MB43QSDsoKvrMpuMUMjNDS1AQJoY3Pre+sCmabjl93e1PkeA0wr17G/aGcyud4+Ft/gFEPLJSZgMOh0XCjqCJIEA+hgEGKgj8AfCxR3mXgVkVBmJfEMg2W+FsHmS3Knseh837nkT7BTtXYTw2XF9mcaZo+MwBLZQVTxJdxYoaCX3XAYj3Q1wHcYgEyFAlt/bRWUTAkR/vTZb2rB063e2fwzN4NdYBRNzZt8zpQIiv4wAY8ZQRutDh/uiM1wPXky9yNZGgkXG+UcLlBwXtWBfMaFFxlcLp408DpkDaqrkGScF+IBpfWyDArSpPIDnbqFQUfN8gYr9egf+Ncc5tG/e0Au16rE//qSTIM47dQJ3gkJDymADkAnpCAWn9VF15gv8aZoofxLyjNqd3Pf5cz7BLG24EPDBRUzlkJv9cpuC8EKNEAdzUA11klIZLbm1M9qwN1mazJI/wrSD3jx4RJzjzICRLwNz2QIQFXuuUr7m5I4JJIz9IAL1oVvFwvY5ZBatccaHK5poBflKOZAXbbFdxa40CBDDxe5xADCP6CK+q1mhaGLcoMw3QzNBfyIkXBlxIwTwLuoZHwIHeVX6FVcEADXBpkQaECgSTZmSLqBH9WywCutkqokBQRHOigRsFyHfBAA1mbO/7bzFGAXRIF9mt/xHcf6hQmyKBmluRTDQXv0kmYpALfSo0k4RpjY5Awbcd+c2kaCfkOBX06+H+ByH5ZQQ3lhJcp5zVgUWggwtdnxfgzKmgeGIYJNsiKdYEClEgKVgE4CcHNKh1wsRUwBfmAgT9yvhV4zkQporw3laC7+LtFEgG7XtYD5wmX7M59n54y8EM7lW++RMmjKIK2aBgYxutuuY9anJGtowPEVZlyOe+V2z8wFcicZNBglE4SFvZ+7lHF/eBWy4oiFrWgpnPxJWxXZ4ImwiWjPrKVI2ljPInkZ9FuyfWU5okynqU76kCqLGG0HVhggN9DonWuySlaaY5xZ0luDM7VnqkVa7XAGNl7wf00nGc26NE0tgN2RcG/rM4UT2cHkJmIAoOttit4zOzAQQc/SKI0EgbqpGaRwP2hP0BNldoWhoUyE4DoHDI0Ck/Y8QfiARz2wnElRYZG9o86QBGFKyQgkh9KHkdr74La6wBnWIENOuCQxj9v4kqtgg/0Cp41ATNswLXWrglXml6RIwN5bQzFky15jQYY48XbpHV0Tx1g1IdVUbBTVrDeZscLVkUEo6Po9DQfuSM5kNVOhlbCK2EaDNdJuN8s46V6GeWscpqh53aA6SQBNKbGMIy/EQugHMHNlzpglAMI8QffMKZVaI79OVYFHxuBv9dTcjr/upc/6sn6C9zXyTnJrRHaGNRr8HHKHJScc0Uz/HN8gVEpFYqCbxzAYgeQLAG9ZWCIBjhP50wBRfOBAw2dJOF0g4QT9Qr+Z1Fwa52MMwwSLmpnUDBvUCsr+E+DjDkmDaKPkw+acaKozPWazocJYKGcOjUDkUbPhQdR/MmdxVsjiQ7/sNCFwgiTzYZwD8eiVbx0Xb1Vt7xxvrKHz1VvtkPeXoE+w8m27DlqJR3MDgnxDhPUzMYaK7bsqcH7A6MRpvX8TBi/arc8DLVW+YYIZHRTgLR+ioJ1u6qR38OEGbHqyarcnsBAQ/NqMCRcj4kJ7fu9SG10en8tt6DoUB0eb6NeLzlYi9MlCf3Tw+AtQkKikWX3fFenrWvQGTReCsbkjXMVx/XC+XbmXHfVWPHa7mr0jtCjwirjpyIzzswIwxfZEUgwapEnhaOHLhx+QxefBf8AcFW9HdeuKMRpIxIxINpIowPobkj01awowu01VswbnYCR8SE+q1eV9XrgV6gatbk7q+lcfAnPUWYYxmeEaCWYg7Q1bnAomLu3FndlR3hFJDPdG7+FrFS3p4fhtQIzzH42QDE91ojPSurh8IAFocDiwDP7a/For8jj1muyViwut+CkOPUMKjD+RZ1dxnO5lbhpfSnGxZlgtsuINWjw1aRk3N43WojkYI1bkhiiw9mZEVh4kHxFfAO1iY+NSgA1h9cvL8RbuRU+s5gGYx1gPAP3zpiAtCRxk+gf6CTA6i1LvcrdXz8sNGNYhB7jogMgCpRKkbvZ5bBvqA7jI/V4t8gMf2JMpB6xOg1+KKPkUF3jzUN1uCQ5BL1Dj2/F3V5nh0kjISfEu45tssrbAabj0CDLz0VmXLiiCPUOGZ9PSMaFmeG4o18Mru8VhSiDUyC7cARpHTgtIxyL8utg8+FgdLxJh8cbxfJL2yowZ2kBKizdHzfAH9oBV9RrNS0MC2UmALFD4xeNIgNsqbGhb7jnM6jS/bdL6h0HtMsK9tTb0TO0eYeO8Sw2qfuv73Wpofix3IIDDf4TRIrmMN6UEYa3CszC06ErAmZttRUnt8NK/HO5BdO7wZpsVXE7wHSce/4sw2PbKvDmnmo8OTQO9w6IPUoYt8QWpDah5BAdekTosbzYjNzKrg+CdZZxiaH4dkYGzs+OwOYKC6Z9tx+L8+u69RysivrrgK9FMQvl1lF/zWEYJmBZXWHBOJo/FQTUNc7x31xjw2VbKmBXgKkxwfHdg4konQZzkkPxwqHu7Qh2lT6hOiQbNNhu7nxsh2KrDC0kJLQhXKhDtoSEcqy6Ywgw6qLC6sCPRWZ8fagOTw2Lw+AgeXZ0hTMywnHHmhJcvCQfw7/ai3IfWHOJ1DA97h+egJ9OzUS/KAP+vqaYg0UxfkHABvNiGEb9/F5hwUWp3gvk40vI3e2/RWYhHGocMj4srMdVqaFYUWnFuYkmXJRMcYGZQOSseCNeKXC6POr9KNor5R2l6RCdJdGggQMKSq2O44rlLbV2ROs0SDexRwXTfjZVWsVc5EuywpEV5nlPpEBkemoYFhfUwaTTCDfsQrMdsY1zt33liv3xtHTRNgZSii5PQEMYagpv4T8+Ud6FhTLDMD7hUL1dRFXMDNEG3KTyWruMe3dXI1QrIdukQ51DwS0ZYbApwJRYA06OY0tad6D4UHDG6zUotclI9WGntKPYFaVLQpmC94yPMorBoHMSQ47rds1BvJiOsqHCgjFxRpyQ0L7oyf4Sr8KbhOo0eGFcsoh6bf29CAVmGwaqwJPJnwYQuwu1zQtW07n4EhbKTMChCerHov9QbHEgPUQrRpW9ka+vu6NckhXti+J6lNlkbK6xY3KMATdmhAVkzk5/QePDB32SQStckf1JKNtkZz7WrjAx2oDvDjccUyhTZG1KH/X6gGh01/OACQw2Vlpwe5+O1xst1wHBGRkRmPvnYawprceN/WN9alnubjQStwNM5+A5ykzAoYPCnSM/IM6gRblV9lrnWKd0T95vEvkLSupx5dYKSJAwJtKA+3tE4KbMcBbJPkav+M55LEmvQZGX6rc3gst9XGRGgdWBWH3XugWjo/T4s8YGyzEi7W6ssSHJoEFKN3XSDd3UDjDepcEhY0+NDf2jOp4lQC9yYTAnpYXh6+npMGgk3LaqyKfRsLsbvR8MlrjyKKtpYVgoMwzjI+INGpT5iZA4nmvSg3tq8O3hBrzcLxo3ZIRhRrwJgyN4/lywQ2Kw2Kb+WV5bam24enslNtTY8Fb/aMR1UShT7uT+YTqsq7K2Oqj04+HuiXbNBBY0CGnUSijzUTCqQCHCoMXfB8eJPMsvbS339ekwbvh71Ot58+Zh9OjRiIiIQGJiIs455xzk5ua2WpaeBaeeeqrwKPz666+b7Ttw4ABOP/10hIaGiuPceeedsNs7H2Syq7DrNcMwPiFMK6FBVsSotr81RDSXc0FJA/ItDlTaZSGSdTznimkhlLfU+e7h3hbVdhmvHTJjdbUV/5cRhhOiDR4LrnNWYgjm5tXgArMdQyL02FFnF1ZmEuUkxK9PD8wAfoz3IJF8RmoYPjtQi//r2z1u+4EK/c7/OTwef/k1H6MSQnACB5ZkPMDSpUtx0003CbFMwvbee+/FjBkzsG3bNoSFNW/zn3/++VafNw6HQ4jk5ORkrFy5EoWFhbjiiiug1+sxd+5cn9wnf+ufMgwTINQ6FBj8dPIHzeV8en+teP3d8DgWySrFl7PDaY7y4oqjraq+Rlh1yy145ZAZM2KN+GBgjAg650mmxRqFVfn9AjP+c6gOg8L1ODPBhHtzIhDdRYs1E7y8v69GrK/rGYkQnUa18Sr8xbL8xOhE3PZ7MT6cmoakkMCWA/5QB9Tm7tzRc/nhhx+avX/33XeFRXj9+vWYPHly0/aNGzfimWeewbp165CSktLsfxYtWiSE9c8//4ykpCQMGzYMjz76KO6++2489NBDMBg6PvWiq/ATiwk4yJlXRW0NcwxWlVswIsroteiX3gzpRvMvyTL24aAY7virGNmHgdRojjIF81IbhywyHs2rFR4dN2eEeVwku6A5yHfnRODVATFivv4JMUaf/FZkDu0YECzIP5KX/MkdlR36XwfXgVYZGGPCyWlh+OaAcwAikOF2oPNUV1c3WywWS7v+r6qqSqxjY2ObtpnNZvzlL3/Byy+/LKzGLVm1ahUGDx4sRLKLmTNnis/dunUrfAELZSbgsEPDjaIfsLy8ASd4aa4iPRTtkveaN0r7Y9QAOZTailEtNsl39yfZoBFTC7bV2aAmMkxa9A3VItVf3Tk6iNWL7QDTvSn3XIzvYHo9G3d1j4nVoSA+CKJfWxX1twOKCuYkuy+ubCQZGRmIiopqWmguclvIsozbbrsNEydOxKBBg5q233777ZgwYQLOPvvsVv+vqKiomUgmXO9pny8IbF8LhmFUG2X39woLbu8R6fXPojnQqxsDC0XpNIjWS2IdrpU6HZW6V4gWkVqNCIA0IrL7XYEY9UOeEjenheLpg3V4s2+UyK2sFqj+z0rqWC5ahvEll2SG49fieoyJM2FmSijfDA9RaLZjRno4X08VoNY8ygcPHkRk5JG+mtHYtoGD5ipv2bIFy5cvb9q2YMEC/PLLL9iwYQP8iU4Nsbz66qsYMmSIuHC0jB8/Ht9//33T/oaGBnGR4uLiEB4ejvPPPx/FxcXNjkEXrE+fPujbty8WLlzYbN9XX32FcePGiZELip42cOBAMTLBMExg8Ge1FVmhOsQYvDuSXeeQMWXdYdy1q1os12+vxEWbKnDKH2WYtPYwFpc1dOq4FIQiRq9BvZomFDGqY2q0AdE6DeYfbp+rWncFottWZ8egcB4nZ/wHanPv6h+Nzw7WoIaCRDAeuq5AlZUjiTPHJrJR67mWtoTyzTffLHTdkiVLkJ6e3rSdRPKePXsQHR0NnU4nFoI04tSpU8VrcsduqRdd71tz1e4OOvWkpC/+xBNPoHfv3sI0/9577wkzOo0SkKgl0/q3336Lzz//XIhdumjnnXceVqxYIf6f/NtJSL/zzjvi/6+66ioRGY0maS9evBgXXXQRHn/8cZx11lmicaSJ3T/99JOnvzvDMD5iebkFk2I75j7XGV4+4JzX9r+hsaCpmGTVo9FBek1To02dnB9N7db2OhsGhEV4+IwZT+LrYQx6ft2eHoabdlUJ0dzVHMWeYG+9AykGjUjjxDD+RK8IA6YlhuI/e6txewciX3szXoW/c1GPKLy5owLTU8M8FvWeCc5gXoqi4JZbbhHGzl9//RU5OTnN9v/jH//ANddc02wbzUd+7rnncOaZZ4r3ZHgl/VdSUiICgRGk/0igDxgwAH4jlF1fyAV9KbIy//7770JEv/XWW/joo48wbdo0sZ8Ecf/+/cV+shSTUNZqtSKamTgJnU5sI6H8zTffCJ92ypvlgizPlI+LYdqDhh+LqoYa09/KGvCvATFej3L5dWkDhobrkOzhOVi7zA4RBImsyox60ajAjY3mBJ8ZZ8IrBWbcn+V7F8dVVVaRsimYngdM4HBDr0hcuKII56WHISusffVYy3XgmExMCsELW8qwoawBI+IDdzqGRlJ/O6BW1+v2QgZQ0n7z588X3sCuOcVkMA0JCREW4daswpmZmU2imoymJIgvv/xyPPXUU+IY999/vzh2e1y+vUGXe3mU8+qTTz5BXV2dGAmgMOA2mw3Tp09vKtOvXz9xISiaGUEjA1deeaUIC56amoobb7xRXFSCLiJFNiPfdobpDDoo3DlSMQUNDtgVICdU59XOcbXVmcP2wZ6enQe9tsqKv+2swnVpnAtW7egVdbgUXpEcgk21Nmys9V1gL+H9VWjGgtIGnJfgfW8OtWBQ2E03kIg2aHF1j0g8k9v+yNd6kQuDaQ2K0zEszoTd1eoKOuhp9DxY4nVeffVVEema3KhJ37mWTz/9tN3HICMquW3TmjTlZZddJvIoP/LII/AVne6pbt68WXwJmo9M85DJ1E6jAJQfiyzD5IPeMmqZe8Syf/7zn2LesUajaRLJBJntly1bJszxWVlZwgJNIwyXXnqpz0YTGIbxHFF6jYhgShLGm7MkH91b05SmxlOsq7bisb01mNsrEoODyCrHdA2jRsL/pYfhmYN1eKdfFHTd7OJIlgFKCVVkdeDN/tGqcAFnmM5yQUY4Xt9TjWqbjEiuy11mU7kFF3ZDYE0m8F2vO0pr/0Pa77vvvoNa6HQ/lYJwkSim0YMvvvgCs2fPxtKlSzt0DDLHtyQsLEzMb6YJ3zQRnNy1//a3v+GFF14QFunQ0PZFO6xTtIBCtsW23XIplUxb5UTY9lbLHZ3I3Ofl3CqeZz9XOcb1O3oOkC/LmaGFw20EuT33tz3llMa9njqeC4d0DHdBpe2csMcrp7i5GrXmfthaXsG2ysmNx+zS8fQSMqPC8Ge9Br3DnE2QJMkeOT8X9ZIW5YoWmREm1Gn0XapXe812RGohxMULBbX4W69Y9IgyoMaD9ZnqlqfrFZWTW5QkV+RWj9diYyCUo+ter9E13X9fn9+QGAPSaxR8XKHg7ARjt32uotHg27IGlEl6PN4vFjqNhNou1isxwb/Ncup4LtRJOtRKOo+2L+JzW7THXT2eWLsd0xPHcyFRW9DB50f7yrXnfnSsXaNzbbOcBsiODsPOBgm99fo2P7cOWlRBr+p62qyc2w/bY/3ExmO2LFdrk1Hu0CI5IgS13vjcTpRr2bB5ol4JTaBy/N31OlDptFAmq3GvXr3E65EjR2Lt2rVCzFIgLqvVisrKymZWZYpa1pGIZT179hQLTfy+7777xDxlMt+Ty3Z7cEwdApvJcNSIiF4riSh/7tgdSmCVc6vcNNjaMo2k3XH0SFG7ysky9FpnlMQ2j+fDcnKdAlnjgGx0/gOlX2z1+7Y8XlvlGl34HMf43JYtdHvLyfb2nZ8sd7AcvWhE00o5pZXjtVmu8ZiaVu4HebkedbxWyu0tqIN5Tz2SzxgIxeRsgnQSdTyb/7Ndlo46HsUfalc5O6DP/QPRsXrozxpwpL60uPh6DX1u8/9tWe6r+bvwe24Z0uNM6NErHuMu6Nul47VaTpZb/R76dn7fY5ZzKF2v991VTlFav36iXDuuc4tydGxDvQbGCIdHjtesnFtj2ZHve0OVBfd8sgNTp/REXLihW67z/nIL5n+6A3NnD4MxyuiZetXiYdHpet8N5aRaHbQxHm5fqBxFBOxE+3fccm7XtVPt87HKaTQdf360pxw89xxsKkcn3456n1a7DYX945E9ILHN34ejQoEtTucX/RdRzu0adLq/1rJc44uW/cktuYcxpMQB6ZQRze6nz/uxHi7nyK9vvoNh2onHPB8puTQF5CLRrNfrRfRqCvlN5Obm4sCBA8JVuzNkZ2cLSzLNg24viZEaRIarfwTJK7gJJM8eF36CjFCdhAiT5OHDevh4TcdV/Od+eeCYL63Zi0smxKN/sq6Na9De63J0uXKzjPr6eiQkmZAUpnT6mNVmG3YfKEFNjRnba2rw4hUTunS8Y+Ic4fLMsdzLqcmPq5vbLRojoM5yUqgXfgid9FxOi9Dj3GGReO/nXDx3xUB4G7tDxq3/24RrJ6diZAZZ1mXP1Kt2f3/F5+UaZAXJEZ5tXwSdjJh/XLzlEe+140o+O+aI7BAs+2MfZk1MarNsgw3IiPWj6QZuQtnbx/xsfxGG94xAUpQfXZ9OUFat/u/HFuUAEsr33HMPTj31VBGgq6amRkQ5o1DgP/74o3Cnvvrqq3HHHXcgNjZWBO6iecckkmm+cVs89NBDMJvNOO2004SfOlmm//3vf4sAYSeffHJnTpcJMmwOwKH+NjFoIffCiBDvzU52yApOemCZiGnw1OUDuyQybn93C/JKzOL9DTOykRYXuFFBAxFra/MafMxVUzNw9tNrsSK3HBP7xnrtc2RZwbPf7kVsuAHnj01BsMIpYgOTC6dm44Of92DNjlKM6Zdw3LKNcR09Dk3JK6+xoOCwGX3So2A0+JdxpsFqxw+rD+D5/5uIQMdGEURVjr/PUQ5UOtVbpfxWFIWssLBQCOMhQ4YIkewSspQTi4J0kUWZrMwzZ87EK6+80q5jT5kyBS+//LI4Prlrx8TEYPjw4Vi0aJGYF80wjH9j1GvQ4MXe65i/LwYkPd64YRhCuxDI69lv9mBlbrl4fdW0TNxyag8PniUTrBh0Gtx/bm88sWA3vrlzjFc+o6LOhrs/2g6bXcazswdyflQmIH9Hd100CE98vAWf/3MqtN6wbrsNvhYcrsOeghrsLazB3oJq7G18rddpkBQTgkOldZgyNBmnjEnHxEFJMAj/cnXz6lfbMKJvAgbmeG/AjmGCUihTnuTjYTKZhNilpaOceOKJYmEYJjAx6rWwkE+sl0b4zRYHnpgzFDHhhk77ipM17p0lB8TrRy/ujwvGp3r4TJlgZkKfGBRVWlBnsSPM6Fnvig15Vfj7f7fhnFHJ+OuMbGh17F7DBCYnDkvGk59swb6iWvRMPZI9pavsK6rBd78fxO78aiGOD5bWISHKJD6jR2oERvSJxwVTctAjJQKRYfScASpqLPh5fQE++Gk37nlzHaYOS8GpY9MxfmCSEPWtYbU5hNBuGRiuOyipqMdHP+3ComfP6PbPZlpHzKVWUQAttig78WZ2FoZhmKMw6TWwWL0jlF0djvV7KjCiZ1ynj5NbUIucxFB8+H8jhesq45+op8vRnOWNngq1DQ6PCWWRJ/m3Q3jn14OYe3E/r7p1+xNqrQOMZyCBmhxj6nIdoMHRZZuL8OFPu5F7sApnT8zCjNHpQhxnJYW3aSGOiTDiwqk5YimvtmDRunz865PNmD6yDLddMKjV/xl6zVe46ZwBuPlcZ8DJ7mTJH/li7W/u4oHcDrDrtTphocwEHOSB5YMBWqadGPQa1HvR9ZrS3yzeVILrZ/QU7+mzzn1qNX64f0K7j/H1mkJM6h/HItnPaRGYWDV8tKIAN07PQlJjFOquUmW24b5PdgiX689uG+mx4wYCaq0DTNcpKDMLARsWou9SHai32DF73lJotRpcdnIvnDwq7ZhW4PYQG2nExdN6oKrOio9+3oP0hDBhgXanrLpBJCj5aV1+twplq92BJz7YiLXbS/D5ozMQ2ph5ItDxomc+E+AExy+ECSp0Wm4U1Qy5mlXW2rx2/MWPTkZhlUPUA+Lg4XrsL21/aoi3Fu/Hqp3leO/mEV47R6Z7MGjVaUc4Y3givttYgqtO7JoFeXt+LX7dXob/rSnCKUMT8NypOdBT7iKmiSAxmAUdr32Ti3d/3I3LprcdO8KgO/7v6OH3NqBvRjQevXqkR8/x+jP7YfqIVMx54jeM7BOPnBSne3jugUr89fmV6JMRheTY7g0QeedLv4v1J49MR5jp+AMMgYRep36lzFGv1QkLZYZhupWlm0tx0QkZXjt+YrQJISGAucHRZG0jNu2vwpCsqOP+74e/HcSXvxfg/VtGNM5xZhjPc9LgeDz21S48//1eTOkXh+E5zetlSZUFizaV4qfNh2G1y0iINCAx0ijWMWF6bDlUg9+2l4no8VP7x+HZywdgSGYk3yomaCBr7Y1n9cXsGb2OWYbmAL/1/W4sWFeO8jLndAcXLq8zsupmJoXjv/dN9cp59kyLxHVn9sO/PtmEV26fiJ/X5+Ohd//A9Wf2x5vf7sDQHrEiw4KuGwa4dh+qwqY9ZVj03BliwJpRFyyU1QkLZYZhuo2d+TU4UGrG9GFt5770ZMRS4qJn1+GyyemY0DcOY3pFI6zR5YyE9KGyeqzcUY4vGkVyfCS7rjLew6TX4orJ6SiusojAWxP6xGL25HSs3l2JH/4sESnJpg2Kx3UnZSIyRIfSaitKqi1ivS2/Bn1TwnH9SZlI62ZrFMOohcE5MXjm860IMehw9sQMESTSnVXbSvHoB3+iX2YUHrpiGIZmH/mttPQzof/1ZtTsyUOT8fiHG/GPN9Zi7Y5S/OfOE5BXWIP4SBM+X5qHtIRQ3HBWf3ib977PxV9O7u2XInnRmoO49fkV+PDBaRjVL9HXp8MEESyUGYbpNt77ZR8unZrZLaPnLsb2jhGRqx/4ZDu+XV+MvcVm/OPDrUiIMqK0ygKdVkJ6XAiy4kPx9k3DkRR9/MAwDOMJbjw5W6wpSvsrP+3DtW9swqR+sbhhepYYyGEXag+hfo9LphOcNjYdqdRmf78LL83fgTPGpiM+yojwED3W7DiMLfsq8MBlQzFxUCL2lCoI8XB0+Y5gavT//3r5fjw0ZwTMFjtuf3m12HbCkCS8/d3ObhHKX/2Wh7fv9c+sMqMac2Vf9sgvuG3WYJwxIQvpieEB1QxwMC91wkKZCThUFF2fcaOs2oIlm4px9/lTurUeUCRsSu80eUAc/vbeFozsGY1Xrxsq5i4nRxubLMtM4OEP6S0o1/ffz+gpFsbzyN4JsM+ogGE9Y/Hvm8eK9FA//1GIarNNBPgiK/LjVw9vsjL7uh2gPMs73r9ARNOmqUH//XmP2H7i8BRYrA6kJ4ZhwYr9OGN8JjResmyTRVaChKjGdFb+RmykCc/dOgG3/3slvv/9IJ7/bDM2vX8hDK5gJG3g6zrQHmQowv1aTefDsFBmAhCbA3D4n2dRwPPJsgM4fVQqIkO9H0DEoQA2mTocRxr6xCgj4iMNCDVoRUTTnslhXj8PxrdYHf5gR2C8iRcD7DMqITs5HNec1vuY+612qIK+Gc5YBBTl2hXp+plPNwsL82e/5uHTJXvx5p0nIDTEs2KW5kD/47XV+N+8meidfvw4HWrm1HGZWLm5CCs2F4n3eQU16JsZ3a7/tdlZ9DGdg+UEwzBeh4KqfLrsIC47McunV/v0Ecl4/9cDImgXwzAMw/iSv100GA9cMRzv3zMF63eW4aonf/P4Z5RVNYg8z/4skl384/LhKDhsFq/P/scP2Jtfjf1FNQgEyPtFbQvDQplhmG7g23WFGJwVhaxE31pxpw9JwP0X9MXK3OYRUBmGYRjGV5DL9ZxTeuPkkWkeP3ZpVQPiowIj9galtHrv/iPzrB95dx1m3vGtSPPl78iyorqFYaHMMIyXeX7+Tjz15Q5cM7PtfJfehlzQKE/yxL6xvj4VphvgxzzDdYDxlzrQKy0Sv20qgtXu8Kg31479lUiMCZwI+WMHJKFfltPl+vetJWK9bkdp034SzcXl5mbi2V/qAKM+OIoNE3BQLAxXjkTG9/yZV4nHLx+M4T1iuu0z6fZrWnk0vr5on8g9+5cT0rvtXBjfoeV2IOjhOsD4Sx04Z1IWVm4twe0vrsJzN4+HoUXKK3fI3XjnwSqcPLr5s2zbvgqcd/9PGN47DoerGlBWZUFaQhhmn9oHgcTnj84QrtcPzBmBfYU1uOe11bjgxB4Y2TcB/1m4Axt3HkaoSYdv/3WaWHsx+5fH4DzK6oSFMhNwUBBEf2gUg4WRvWKw7WA1pg3tvtzJdP/dg2HuKarD27/sx6qdFfji76NFJGwm8DFo2Y4Q7DRm5mGCGIOf9HQpbeJT14/GA2//gRNu/gaj+sVj0uBkTBqSjAy3VEgLVx7A31/5Xbw+e1IWnrxhLBqsdny9bD8eeme92H7JSb0wsl88UmJDnZG0NYEVkojSOmq1EkJNelw8vRf6ZcVg0dqDePz9P3De5Bxce2Y/PPzOeoQYnQ2AXqf+Zz65OjtU5O7MrtdO/KT5YBjGXxnRMwb/WbTXa8ffX1KHJVtK0S8tAr1Tw1FWbcWWQ3XYXViPvfll2FlQK2zLl07OwD/O7SMsygzDMAyjRrE87/oxqKqzYtXWYqzYVIQ3vtkBg14jRHNdgx1b88ox59Q+2LK3HPOX70dybCheX7AdM8ek47OHT8KQnnEIdNZsL4HDoWBIz1gx8D28T7xYXDzw5hpcMLUHD4ozXYZ7jAzDeJWhOdHYsr9KzA+mToCnySsx48kvczGyZ4wQzXGRBvRJj0FWYoRwse6TGo6kKCM/MBmGYRi/gPIdnzImQyw013ZvQQ2Wby5CVa0V/5wzAiFGZ/c992Al/vbS7zjnhGw8cf0YBDo2u4xH3lmHpRsL8fDVo5o91+sabHj2k03IL63Dhp2HcftFQ+BPqC2AlprOxZewUGYYxqvotZJw/aqotSEhyujx4xdXNIj1M1cNQVK0M7JnjQUwNziQFMYNPcMENer3uGSY40JisGdapFha0jcjGgufPCVoriANuJdWNsCg06C82tJsAP6973JRVGbGpTN6474rRiA20uRXzQDPUVYnLJSZgCMAsgQEFF//no9RvWK8IpIJs8WBa07OaRLJLrgeMDwgznAuUIbbgcCBLOmv3TkZm3aXifnI+YfrcOsFg1FRY8F/F+3C54/NQGr80WkouQ4wnSVghbJlyOmwRB4JfhBMSPBcagF3NJJ/ZB9vOFgOQ6QOSnSoX1xXyUvXVVK8cNwOHtNmc+DNxx/CC89fC83AzC4d1+GQsWFjHoYNzYbOLVJX/fbvEUqxSk489cjhKhvgqK6HJv3oEXhV4q3evDfqgJ+gOGTYdldA0zfw5+sdF8kLQXz8KDCQbXsZNAMT/eO6euOY9Fvw1nEVzx9Xgeejr1m2FMB+vOePypDbcV3Xrd0OvV6HwUN6QtPi91heXg2DQYfw8FCvXtfuwmKx4rWXv8Tb/5mPtRs/gMGgR99hwISSaEgaCZZh5+C1f32IU8+Zhrjpl8LSyjHMtl1QO+x6rU4CVigzDON7fv11MxITozHIA52U3Nx8zLny34iOCcPpp41ETHQ4duTmY9263fjrX4+IZIZhGIYJZN547Wvk5RXAYZcxeeowTJkyHKWllVj04xps+CMXsy6ejrvvuRz+Dg2QX3vlo/hzo1Po7sw9gP+88TWWLF6LCZOG4tTTJqC4qAwL5v+G/y14Gv4MC2V1wkKZYRivMWRoNv74Yw8uv+I58X7N2l3YtPEFGI36Dh+rwWLD8OE5mDf3cixcuA71DVbMnDEM/3fr6cjKTPDC2TMMwzCM+oiPj8LkqcMxffpo/PrrH/j8s18QGxeJ2XNOw/U3noMXX/gMgcCXny+GyWTExq0f4z+vf4177noRB/YXiX2rV21GTEwEnn/mI1x7/bmIjfUTDzLGr2ChzDCM10hMiBJri8WGPzftQ05OUqdEsusYNOKalhqLCeP7IjYuAulpQe5WyxwfnqjOiORwDBNYXHfjubj0ogfRp08GLr7kZLG4KCoqw8YNu4Q1VuuFTBPdRdnhSrz28hd4+/1/ioBm195wrljef/dbLJz/G5554XYs+uF33HjTBcjITD7usRQ/aAfYoqxOWCgzAQdFWHZPGcD4DroPudtfgSzL6D/wZuTlFXf6WP36pWHd+j3oN/AWMTfr9NNG4Ml5Vxzjc/1qGiXjxbaACW5azt9kgg+NNvDagezsFNTUmHHNlXPxx6b3m8Xt2L41T6wbGiwICwuBv/L0Ux/i/FknITsnVbynNFkvvfAplv76B1598x4kJMTg6uvOCZh2gKNeqxP11xyG6SD0wOAOsrrYtbtQrKdOGdTpY4SFHolqbbPZj/vgo/vv3nFgghODgetAsMN1gKHAVoHIQ49ei/j4aFRW1Ij3Cxcsx3ln340ffvgdV11zpl+LZHKr3vznLlx9rVMIk3X8sYffwrq12/D2ew8KkdwRDHp+FjCdIzBbD4ZhVMXSpVtw5ZyT8I+7z+/0MaqqzJg6ZSAKCitw793nY/z4vh49R4ZhGIbxF847fyqqq+pw8rRbcO/9c7Bg/jIR1IuE8onTRsIfMdc1iOjWX3y+GE8+fSsqK6qh0+mwcUMucnfswxtv349Qt0HzQMKhKHCoKI8VnQ/DQplhmG6AIlR/9vkK3PZ/Z8JkMnTqGFdc+QJOP20UXvr3ddDz6DDDMAwT5My56nT065eFBQuWwWq14aZbL8T/3XGxcFP2Fyg418GDxTh4oEiI5ImThuGLr55CWHgITp9xK8rKqpqlvgpUocxzlNUJW5QZhvEq9MB+652fxdpu71wuarPZgpKSKtx04yk8/5xpN4E3M5HpKByuggn0dmDchEFiccdf4rR8/unPImDXwME9ERUVhhdeuhP9B+SIff9+7mMkp8YjPiEGfftlITo6HBFuuaEZpjtgocwEHBQQwQ8CHAYN9MC+47azcMv/vYkfF23E+eeN7/Axtmw9gKyshHY//JXG0VkmuFGTGxvjGxwOrgPBDtcB9WGz2vHkvHexaeMuvP/xI0hLSzyqzK9L1mPukzejX/9sz/QLVY4iK6rqt9D5MCyUmQDEbnPAIfvHaGow8NuyrUIkT5k8sEMiedeuQrz+5iKRh9nukHHdNUfSX7SF7CDrtdzJM2YCBauN60CwY7V2zouFCRysVruvT4FxgzzLJo27CoOH9sa7/324VVdqcsOuq60XlmRPYPODdoCjXqsTtigzDONxtm07iPKKGjEf+bvv1ottS3/b2u68jkVFFbjuhldEALDb/+9MpKbG+I0rGcMwDMMwrbNj+z40NFgx7aTRx5xv/MvidZgybSQ/9xmfw0KZYRiPc/OtbyA/v6zZtj/WPdsukUw89OinOOWUEbji8ql8dxiGYRgmQNi/rxBZ2Sli/dorX+L0MyYiIzO5yZL87tsLsWTxWrz02t0IJjiYlzphocwwjEc5+9y5zUSyTqfBQ/+8BGFh7Y9UOeeKafj7Xe9i1oUTkJOdxHeI6Rx+MC+N8TZcBxhGTQwb0QcXzJqOkBAjDh0sxpVXPIzMzGQYTQbs3nUQZ587Bd/88LxH80ArftAOyLK6YqvQ+TAslJkARKOR2F3HR1Bk6x07DonXkyb2R25uPu67bxZOmTm8Q8cZN7YP7r7zXFw++wWcMGkABg3MwAXnT4DRqG/X/5OXtqZ9xmsmwNsCJrjRcEMQ9Gi03A6oCQrcdcWc05ve33Lbxfh95SbU11swddoo6PWet+FxO8B0FrYoMwGHTqflDrKPoHnEudtfEYK5/8Cbxfq22/+DTRtfaLfIdXHmGaMxoH8G/ty0D8//eyGGDs3BoIGZ7RZIVA+Y4MZg4DoQ7HAdYAwG7uqqGXpWT5rcscH0jmLQq/9Z4FAUsagFNZ2LL+HWg2EYj2Oz2YVIdjFk2P9hy6YXoe/gw6pnz2SY6y3ieJERnnPDYhiGYRiGUZfrNVSDms7Fl7BzIsMwHsdg0OPCCya2sPB2rLmpra3HY3O/wE23vIkH75+FzMwEvlMMwzAMwzBMt8BCmWEYr3DlnGli/cLz12D71pc7NG98+YrtOOOsuZBlGd8uuA+nnjKC7xLTYXhmIsNZ5RhuBxh/inqtpoVhocwEIJS03Q8CHAY8+QXlYr158/4O/R+J4/sf+AhPzLtcWJIjOuFyTbefG3nGwQ/6oMfh4IdBsMN1gBH9QpXj70J53rx5GD16NCIiIpCYmIhzzjkHubm5zcpcf/316NmzJ0JCQpCQkICzzz4bO3bsaFaGjCotl08++QS+gi3KTMBhtzng4MkVPic1JVas3/9gCaqqzG2Wr6isRd8BN+O/H/2G+IRIEfm6s8gOBXY7T7AJdqw2rgPBjtXq8PUpMD7GarX7+hQYH2PjdsDrLF26FDfddBN+//13/PTTT7DZbJgxYwbq6uqayowcORLvvPMOtm/fjh9//FHEsqEyDkfzdprKFBYWNi0kun1FwAbz+mlfGkIjIjx2PH/KMqLxkq+Zt47raapLQhFWGw5TdaRHj+utOuBP96u914Aav+vOHNfUSflpVzYS0zKOc1wJNqtVvKZ5ybc98TyWF4/p9HnW11TDVl+H/JBU+APeqwMIWsgzoci8G+bqzg+4BALeMKr7g3XGxcHKHags7usX18BbDhDeul/+cg1KDmtwcH9P+Aveua7+85v1Rh3IL3F6uKkZyvWspvvU0dzTP/zwQ7P37777rrAsr1+/HpMnTxbbrrvuuqb92dnZeOyxxzB06FDs27dPWJpdREdHIzk5GWqALcoMw3gccpV5+O2Pm96/8ej9xy1fW12FZ++8BWNPmonXflyOwWMn8F1hGIZhGCYoUKvrdXV1dbPFYrG06/tUVVWJdWys07uwJWRpJstxTk4OMjKaG1LIMh0fH48xY8bg7bffbpZFpbthocwwjFdIycppem1paMB7Tz9+zLJfv/06FEXGtfc9Ar3BwHeE8QgqGpxn/MQqwgQg3BAw3A50moyMDERFRTUtNBe5PR5dt912GyZOnIhBgwY12/fKK68gPDxcLN9//71w0za49fseeeQRfPbZZ2L7+eefj7/+9a948cUXfVaHA9b1mglenNGVg9jnVEX34Za5z+DFe/+GogP7xJKQmobT/jLnqLJL5n8h1os+/wgzZ13qsc9nghuNhseCgx2NpmO525nAQ+I6EPRIksYvgk+qKQCl61wOHjyIyMgjUxmNRmOb/0sW4S1btmD58uVH7bv00ktx8skni7nHTz/9NGbNmoUVK1bAZDKJ/Q888EBT2eHDhwvL87/+9S/ceuut8AXqrzkM00E0Wh2kYJ6cqSIGjBzb7H1FSclRZaorynHOldcjs3dffP32a9iXu73LnytpNNDqeBww2NHq9b4+BcbHcB1guA4wGj33BzpLZGRks6UtoXzzzTdj4cKFWLJkCdLT04/aT1bp3r17i3nLX3zxhYh6/dVXXx3zeGPHjsWhQ4fa7fLtabjmMAzjvQZGr0dIWDjq62rF+23rV+Ohq/+CwWMnIrN3H3z33/dQkn8AUXHxwjMqNjFZCGeGYRiGYZhgQW25izt6Loqi4JZbbhGi99dffxVzj9vzP7QcTwRv3LgRMTEx7bJkewMWygzDeJUTTj8biz77L2ISEnHp/92FXZs3YuEHb0NvMCI8KgoTTzsLPfsPQkJKGr754C3s2bYZQ8ZN5LvCMAzDMExQQBGv1RT1uqPnctNNN+Gjjz7C/PnzRS7loqKiJgsy5U3eu3cvPv30U5EOinIok5X4iSeeEPtOO+00Ufabb75BcXExxo0bJ1yxaZ7y3Llz8fe//x2+goUywzBe5cIbbsWJ51yAmooKzL3pqqbtJIYtDfVY8d0CLP92Aa5/4DFce+/DePSG2ejRfyCGjj+B7wzTJXieOiNxvAqGZ2IFPdwOeJ9XX31VrKdOndpsO0W2njNnjhC+y5Ytw/PPP4+KigokJSUJ9+uVK1eKNFKEXq/Hyy+/jNtvv11Ymnv16oVnn30W1157rc/qMAtlJuAQYeTVMyjHAIhPThXLEx/Px0cv/Av7crfBGBKCaefOQl11NQxGo0gJRa7aNz40Dy/cc4cI/DVswmQMm3CCiKDdUdGjqMiFifENFHmTCW5k2eHrU2B8jOLgdiDYUfzgWRAIrtfHIzU1Fd99991xy5xyyiliURMslJmAQ3bYRaohRn1Ex8dDbzSKecgrf/xWLC6unzERT3+2ENl9B+Dpzxdi95ZN2LhyGV68/06R3mPYxMmYevb5SEprnm/vWA9Fh8Pu5W/DqB2HzerrU2B8jMNm8/UpMD7GYec6EOw47OrvD/i7UA5UWCgzDNOtD6tDe3bBGBIKS735qP2P3jgHkTGxCIuIRFhkJKrKymAKDUXRwf3Iy92GgQXj2iWUGYZhGIZhGKYrsFBmGKbbMBhNeOz9z4/arpEk2G021NVUCVfs2mrnmkSyKTQMGT17C7dshmEYhmGYQIMtyuqEhTLDMKqAhHBUbLxYGMYTqCiAKOMjFA5YwXBDwPhBOyA7FLGoBTWdiy/R+PTTGcYLOIM+cZjLYIcjHjMaDT/igh2NRuvrU2B8jMR1IOiRJH4WMJ2DLcpMwKHR6iBpWCgHM5JGA62Om7dgR8vu+kEP1wGG6wCj0ftBf0CW1RWdW03n4kP8oOYwDMMwDMMwDMMEJrKisqjXPGVB0GlfhPz8fFx22WWIi4tDSEgIBg8ejHXr1jXLp/Xggw8iJSVF7J8+fTp27drV7BirVq3CsGHDkJ2djbfeeqvZvqVLl2LatGmIjY1FaGgoevfujdmzZ8Nq5XQfDMMwDMMwDMMwjMqEckVFBSZOnAi9Xo/vv/8e27ZtwzPPPIOYmJimMk899RT+/e9/47XXXsPq1asRFhaGmTNnoqGhoanM1VdfjQceeAAfffQR5s2bh4MHD4rtdDxKOD1q1Cj89ttv2Lx5M1588UUYDAY4HA5PfG+GYRgmwOF56ozE8SoYnokV9PhDO+CKeq2mhemk6/WTTz6JjIwMvPPOO03bcnJymlmTn3/+edx///04++yzxbb3338fSUlJ+Prrr3HxxReLbXV1dRgxYgQSExOFyK6pqRHbFy1ahOTkZCG2XfTs2VOIZ4ZpC6p/fhDgkPEyCjfyQY/Mc6yCHlnmwfVgR3HwXMtgR1Vzf4+B2sSpms7F7yzKCxYsENbeCy+8UIjc4cOH480332zan5eXh6KiIuFu7SIqKgpjx44V7tYuyDW7f//+Yt+4ceMwYMAAsZ1EcmFhobAmM0xHkR12KIr6G0XGuw9Fh8POlzjIcdh4qk6w47DZfH0KjI9x2LkOBDsOO/cHmG60KO/duxevvvoq7rjjDtx7771Yu3Ytbr31VuEaTfOISSQTZEF2h9679rlcr8m6TPOO3d22SYD/+OOPmDJlihDNJKJPOukkXHHFFYiMjOzkV2UYhmEYhmEYhlEX5PyiptzF7IzTBaFM7mxkUZ47d654TxblLVu2iPnIJJQ7As1dpsUdrVYr3Lofe+wx/PLLL2KOM30WuXyvWbNGBAhri+rCg2goN0IRd1pqliaAUse4u+bSaGNb5Sg1r2y3CTcu97kOmlaO5+tyGsnte+gMznJuBWmEXbihuE3ZaE85+nznddG2Xs4NX5arr6qErSYEhpAKt3IO501s+r56SNoW9aCNcq7NTeVa1BfK2erexLW3nCLum9xsBo1W77of7sezdqhcs3ogPlfrdEt3r/eOFvWgjXKuQ+rEddGSn3uz7ytcXd2O195yer3B+bkt7m/Let90fm2Us9O1t1tgdwv+13T9jrouGvfT80k5uld2m/Wo+qyj+9uinnakHJSjyx1dT53nF2jl6BpVlx0WZdV4ft1Vzmb1fL2iWCFq/B21Vq68ML/d7UZHykE8fz3T/rnKubs6dqZ9PlY5pRPPj/aUc8aM8cxz0FVOQdee062VqyoqgF1W/KL/QuXcPeI6219rWc5VtXzdP21PudbqVWf67e7laksKoHbY9TqAhDIJVZebtAtyof7yyy/Fa7ICE8XFxc1ELb2nKNftJS0tDZdffrlYHn30UfTp00eI8YcffrjN/121yw5DiJF+Oi320A+rtTlLgVNO0yyHcGvlpHYer3k5jZbeUwMut+N4viunqbdDY3QABtf30bQyy0B0HVpsO365I9dV28rnus7RnfaVkzT6Vsq4PtudjpVz3i/PHU8c86j81O7vDcc4XtvljhzXM8dTLA5oHRpoGtzvpwnto/vLOb+/5z9X26584iHtPJ53yx1dtzr6mNId7X5fU4m8Up1HjnfsuVvquH7HwiF7vl61b+6aOn5vtmo9dhdqPdq+EM5r4LnjOY/p/s5zzwWnlcrzzxlF9txz0FWued3q+HO6tXKaKg2sDVq/6L/Q0tyq2Ln+Wstyza+r+vuxni4nH1Z/MC8mgOYoU8Tr3NzcZtt27tyJrKyspsBeJJYXL17ctL+6ulpYhsePH9+pEyXXbBLdFACMYY4PmT75GgU3Ekc8ZmgUiq9CsMN1gOE6wPhBHaAApGpbmE5alG+//XZMmDBBuEPPmjVLuEO/8cYbYiHI5em2224TrtOU/5iEM6WBSk1NxTnnnNPm8V9//XVs3LgR5557roh2TSmlKGr21q1bRZoohjkeinBxUn+jyHgRcssT9YAJZiRNpx5xTCCh5ToQ9PCzIOhRJPX3B2jKg5oyNajpXHxJp54go0ePxldffYV77rkHjzzyiBDClA7q0ksvbSpz1113Cevvddddh8rKSkyaNAk//PADTKa23afGjBmD5cuX44YbbkBBQQHCw8MxcOBAkVqKAnwxDMMwDMMwDMMwjLfo9FDrGWecIZZjQVZlEtG0dBQKDvbBBx909tQYhmEYhmEYhmH8Ag7mpU7YJ4lhGIYJTDhWAcMEPe6RtJkgxS1KuqqFsprSQ/EcZQELZSbgkERKDPU0NoyPUBSRHqW2NB9l+3eifH8uyg/sRELPQRh02uUi5QkT2Lin0WGClBYp0pjgQ+I6EPRwHWA6CwtlJvBQHM3yVjLBg8NmEWK4Zv8OmEv249CubTCGR6KmJL+pTO3hIsTl9Ef6kAk+PVemG3DY+DIHO7Ld12fA+BquA4zIuaxuKMq0mqy4HPXaCQtlhmH8Htlhx/61i7FryZcIj09FbFoODKERyBk3A6ExCdi9fCHGX3E3jBEx0BlNnDqKYRiGYRjVwHOU1QkLZYZh/Nq1tmDzKuxY9AnCE1MxdvY9OLDuFxT8uRyJOX1FE5e7cRnGXHI7whNSfX26DMMwfoHd2gCt3siDigzDBDUslBmG8Tu2LHwXhVtXi46cPiQM0Wk9UF9dhmWv3Cusy5SGrmzfDqSOPRWn/ONVX58uwzC+Qj2ejH5BVf4e7Fz8CSoP7kRYfCp6nHAOkvqNhqTRtDpQWVdWgNCYJGga81Xv+uVTyHY70oZPRXhCmg++AcP4Z0NArs5qcndW07n4EhbKTAAicbTbAKWhuhwlO/9E6a4/kT12BuJ7DkZkcibWffwsKg/uRuaoaUgZNA56rYSK3RsRlpLl61NmfIl0dOee8c/YAxRbQLbbYIqMgTE8Ghqttn3/zHWgQxRsXo7wxHSMuOROlO/fjr2/fYVdv3yGlEHjIWm0zSIIl+b+gYbqw3DYrIjvNQzRGb2R/+dvSB9+ItZ9OA9ZY2YiZ+KZ6CyKLMNSW4GGqsOorzwshHtkSk7HD8R1gPGDOsCu1+qEhTITcCjiYa7+RpFpPwfWLcGeFQthra1CQu+h6D31PCQPHA2dwST2j73iH6ivKsOhDb/hz69eR86oqegz+SxIodF8mYMYScOPOH/CUleN8gO7UFtagNqyQuf6cCFs9XUIi0uGVqdHQ00FLLVV0BlDEZ2Wg9RBY5EycAxM4VGtH7TR0hmIWGorYS4vQUh0vIi/IHUxBY7d0gBLTaUQo5QVIKHXULGQYC7P2wpFdjSLJJ894XQk9h0Jq7kGpTs3oCR3PXqfOAtpw6aI/ftWf4/qon3ieK5Fbwpt8zxKdqzFzsUfw1JTAUNYJEKiEmCKisPuXz9DdHof9Jp2EUKi4tv/xVwCv53Qd6wu3AOHpR7RGf2g0emPKkODA4fW/YCaon1iAEd22Jxr8drebBv9v/gO0YkIiU5ASHRi02t9aCS7t3cDitSxOsAwLgL3CcIwjN9TVbhfuFgXbF6JnHGnCCtyay6AREhUHHpPPRcZI6Zg5av3ImPQGISyUGYYVeOw2+CwWmAIDcf2RZ+iKPcPpA0ah+iUbBGZnoLzkRXZXQSSkLGaa8X0ioItv2PrDx8hPqc/xl1xFwIZW30tNs9/E3ZLPWqK9kOBgrDYZDFIaG+oQ1h8CsLi08Q1C0twrjU6HWpLClFXVghzeZFYW+uqoTOFCtFKAw46UxjsFjNKd/6BuB6DkDxwXLPPjc3qL5bWLL6EMSwK6cOnisVFzynnIWXwRFQX5oll77KvhGjWh0Qgyk04R6Zki8+nc6s4kIuK/TtQunsDBp39V8TmDITGTeSSOD2w5nusfut+hMYkIiwhAxGJGQhPyBBWcEPYMQZLGrHWVaE8bwvK8zaJsvG9RsBcXoi60kOoO5wvxDidX8mO1U3XZev8VxDbYzAS+oxEbI+hYrpPae4a7FnyCaLS+yJ50CQhhDVafeNaB43OAEmsndtkmxX1VaVoqCxBfWUJyvM2i3V9ZSkc1nqYohIahbRTRBsjna9NkQnN0hjS9SYR7r6N3lfs2yL+LzSO43D4M5RDWVV5lFV0Lr6EhTLDMKqjLG8bSnZuFBaT6qIDSBkwBkn9RhxTJLtjioxFRGI6Kg/tQmhydrecL8Mw7bMYUzR6Er0ULGrVu08IsUvigga6SBDbG+rR76QLROyBY0H/bwyLQOrA0WLZ+uPHOLjhNxz4YymiUrIRkZjWNGfWXxHzfw8XCDFFbsf1VYdRXZCH0l0bhYvzpJueFC7oLuh61h0uFP9DueOLtqwSaxJSobEpwiIfnpiBpP6jYQiLht1aL8S1rcEs1uRW3W/m5eL+eAJJ0iAsjj43BSmDJjR9p/qKEiGcq0g8r5iP6sJ9Ip2jPjQcMZn9EJ3ZFzmTzkFobNJRxySBmDPxbGSOOQW1pYdQW3JQrEt3bRBrypkdGpMsBhDcLbtR4SEoKysT01RjcgYhNmewEMd7f/scYfHpCEtIR3yfkWIbDRgMmXUnwhpFp62+Bod3bUDxlpXI/f5tGMKjoTWYMOCsmxCV1qt9F8MUJiz+SO9z1C4S/w0koqvoPtNSgvJ9W9FQ6dymNYYIIa047DCXFQi396iMvkLkk7gv2b5KCPHBF97Z1VvG+BiZBkIaB5/UgJrOxZf495OEYZiAhKwde5Z9IzoXaUMnoP/Mv7T7f8v2bRedysQ+w716jowf0DVPVMYDCHFUVS7St+1cOl+I3LDYJITHp6Cm+JAQMpkjp6LXpNOFaKZ9Nkv9cYVySzKHnwCDKUzEL9i1dD7qyooRGpsopmZERUag1mIXbtsuC5/7a3dr4JHtOmh1BrHWuNZaPbR6Z9mwuCRI2iNWPW9cs63fvCVEMYnbkOg4YXFMGzYZPaeci8jkLOiMIc3+R3zX1ByxqNUyRPeeBDAtLqs1fVcSp3qT8363J48sWXWjUnuKxR1yAa+vKBZzkpvunVYHg60aNlMitCI14LEHW2OyBhy1jSzMKUMmi0UMRpQeQmRqj+MepyOQ+CcvAFpa3i+6Njb6TpXFYk5+aFyaEPtkES/bQ/PDy2EzV6Pf6TcgKq23R84nYOnitAQmeGGhzAQckphDpY6OAdM5yCo04NTLhct1v5Mvaff/kWva1oXvoc+0C6Btb7AfJmBxn0/JeB+yjlUXH0JV4T6xVBfuF9MntAYjolKyMO3WJ0Ve89qyYjH/OC6nH2LSeyEmo5cQNJFJGcgZe3KHP5c8SGhxQeK7rrwYdqsVSnUJrLpQ4eLtmjfqsDXOH3Wt7XYh1qx1ztey3QpH49pllXT9P7k9kygdd81DQlh3+ZrZbagtOYSakoOoLjooXtOiD4vACbc83RSHIVAh8ewSyV2FrOGtWcQ1NXYo7Zgb3RZiMKK9VmQPXRuao02LOwl9R4uFAp3lr1+Efcu/xIHV3yCh71gk9h3DLtitXUtF/dZRDualTlgoM4GH4hCuXIx/kzPhVOxZvhCVh3YjNotyIrfNoY3LoDUYkNRnGBTZygbFYMdh8/UZqBYSgHXlJcKC2+4I0m4DEA01lcJtloRwVYFTGJsrSkVKoKjULDHYlTpwrBDINP/YnajkTLF4C7IKu4SzrVQDKdZzn0XffcNnL2LL/DfRZ/rFbkGc7OJ1ZFKmGBhoD3S9Vr/7uLCQRiTRXNt0ZIw+Scy7pWBV7ZlqwrQD2R6Ql8kYHoMeUy5CzuRZqC3OQ2nuWmz+8mnIDkeL3/QRa2pITDKSh5wIa10l6iuKmhZbXTXi+4xG6ogZCE/03m/TZ8gOqB1ZUdrlUdGd58OwUGYYphuhIDI7l3yB+orDTQFoepxwlrAitewU0jxlncGImIz2uZSRW9yORR9j9OV3spsVw7hBUaMrC/ejMj8PVQV5qCzIE9GkTRExsNbXIanPUKQOGI2kvsOOErUt2b3iexF0i+a0RqVmCyGc3H8k+p50vjN4VIB7cpCVb+h512PNB//CyjcfaBbEidowmoObOXo6ssedAuMxInFTW1VxYCc2ffUaek09D1mjp4vtauokM/5VJyOSe4iFRDMFLWvyqmsUO666RYG/ircsFQHDQmOTEZszRIhnrSEEJduWY/uCf8MYEYfo7EEwRcaL+dGmqHjoQ6M4OjcTlLBFmWEYr0NRbfev/Vl0ovf9/iNGXHSbsDzRw3zrwndRsGkFekw8DcU7/hApoCx1VagrK8LQc69vt1Ulb9WPiOsxENFpPaFY6rz+nRh1Y7dZYKs3++QhR+60Jbs2CwsjCVD3OkwWSZoi4A1B6ZwPXCYEcUXBPlQe2ouKgjwRIZosvNFp2YjvMRC9TjgdkYnpQuCRZbhoxwYc2rwKf/zvDSF8UweMQsqAUTBXHsayNx5G3xPPxeDTL0fhtnXYueQrTL3lCWGJDlbIAjx2zn2t7jNXlGDvim/xyzM3Y/DZ1yJ10ARUF9EgxR5UHdot1hSci6I9Dzz9SiQPGN3t588ELiLQnVuQNxcuoZw8eLJYWiNt5ClIHT4D5Xl/oqYoDxV5m0SebAoqRoPaxsg4p3BuFNARKb0Q1UqAMqZzsOu1OmGhzDCMx6CcnnmrvhOdQRrQzhp7MlIGjcfW796DubxYBOgRqUviUhDZ6Ho57uoHcWj9L1j332fE+xEX3SrcJo0R0cLi1V5MEdEo3rGe56UGKXarBYf35aJk9xaU7N6MqsIDSE5NQ+bkc1Bdki/mxobREpuIkKjYZmlnSLjWVZSihqysYZGiDFlWSfAW5W5E8a7NwmKoM5rEPEWdIcT52vXeGCKC8lAO4IKta8U5RKfnCHfcTd/+F2FxibDUVKGBBoFqydoDRKdmI6n3EJiiYlG4fT1qSgsQHpskAkXROjw+2RmpOC6p1dyz5F5J/1ORv1cI40oSxvl5wu2Xjh2TloOskVMw+Mw54rsfK8cu/W6yR58oFnIhLt27DYXb12H5W4+LwSpXtOqDG5Zj44K3Menq+/xLJHezkVakLYpNEoODm756HZvn/0cMCtIAXmx2f+RMOgMRCensVs2oEhrUi+s5XCzuUNtgqSlzRuhuFM+7Fr2F8MQs9Jj6FxENXN2o31tDcShiUQtqOhdfIikBFu2kuroaUVFRGHfBf6DTdz14g7eRNP4TiU/SeuFcvTAHK1RbBzsMsCkG9X9/L9YBSe95i1Vb18BWW4Kqnd+hoTQXCgXPoEWjgy4kBkkTbhNRSFs9rkaCvaEKhUueQPyoKxGS0PFRavq84lWvICJzPKLSB0GvsaFB8kyqk+bn6vk6q/GjdsCb56rIDtjqyqDQnEJZbqpDiuJw5mwVr93WsgOWqgLUl+6GtTIfxph0hCT0RkhCLxhjMuHY9TVKSkthis2Gvb4SdjNFia2Ao6EaWmMEdKGxUBw22GqKoTWFQx+WAIe1Fra6cmfdhSSOGZrcHxIkyHZL06JQoKem1xbIDgsMUakISxmE0KR+0BpCnXN5y/dBsVnE8ekztUana3ND+X7Ul+yEvb5KHF8fkQy7uUJ8f3tdGWzmMthrD4s1nYc+LA66sDhotEZYqwtgrSkW52+MSoMhOs25jkqD1uiZwEiEw1Irzt9Svh+WigOI7DEJYamDveYi7MrL60nCHYdRgziPH1c5zjUQAcPqK8QUEJ0pRuTU9WXHVLF5Z37m8a5Bp4/phWsQpatApdULQs5L6XP8RaBQO11XuBz1JWtgiOoNSWuCpDWKNorWkqZx7drW9N4ASereKRqhUhEWfXQHqqqqEBnZPDiaWnTLyX/7AnoPtt9dxWapw0/PXKDKa9adsEWZCThkaPxg7DDwoDyPjoZKaEPioDFGODuKwhVMi9DU4ccUyS50pihknDqv059P6TpiB56L0nVvIyKpNxQjN29qRwixsn1oKMtzCrKKQ9CGRIl5n5C0zkEJSeNMxUJr8V7rtI42rvURSYgdcCpMcdnO/3OhyAjrezL0/Y/2SiCR7aivhs1cDkmjgyEy+aj6KQSwIkOrb56GpyPQ+YXEHZ2uhwiJ7yGWps+TFejDE9DapzmsZqfIrzssRHdkj4nQ0zm7f18vQKKehD8t/oqM7p8zLeYthyd2++cyx+4TMJ6H2s6wlCkwxQ6GtfYAFIcFioMGEM1QLBVi8NC5zQJFdq5d2zS6UBij+sAQ3ReGiBxxLG8iK+qvA2LsV0VxCvwgUHi3wD1JhmE8wqFF9zRvXELjhZXMVluM2n3LEdWr42lfOgpZ1EKSB6N676+I7+8MkMOoC3NxLmr2r0VDeR4c1nohcMniG9P/FJhiM6HRtS9icFcg4a0LjRbLseiO82gvZJ2mxRh9JAUSwzCMGtAaYxFijO3Q/zgsFbBU5sJcvBLVeV/CENEDRhLNUb1hNxdBY4iAzpSAYILnKKsTFsoM4wPIldRhqYHDUgXZWiUssQ5rtXCxpA56k6uSzghdaAL04amqjziZceq/xNpWVwpz/h9oKN+NhrLdMEZnIrTnSd12HtF9ZqJs1fOwZQwBIlq35jG+oa5wG0rWf4K4Qachpv8MYUFVe71mGIZhPIvWGIPQpHFike31sFbvEsK55uAPUBz1okxUz4thjO7Hl57xKSyUGcbL1JduhrX6IByWSjgaqoQ4Vuz1YsRUa4yC1hQFrTEaupB4EXBCuC7Z6uFocLou2fb/KraFJAwSiz4yo01xQXMjJS/OS2o4vAsaQ7iYe6wxhDU7H2vVIVjK98Bed1gIf3JhJcFM80LDMsZAa/DuHByNPgSRvaajaudPCB9xLQuxbnS9p3nmYi5wfRUc9fS6qnGbczvN5U2ZdANMMRnddFYswhkm2PHe05DxBBpdCEyxQ8RSf/gP1OxfAI0uHA5LuQcvsPrrAMVo8Eachs6ipnPxJSyUmYBDUtkM5Zr9v8IU2xshiUOdwtgYBY2exKWm3cG8bHUlaCjdisqdX4tgQ1pjpHi40CLpnWuNziTWttpC1JduEYFk9BGp0Icni7UhIgW6sIQuzwWqyfsNdQV/iM+z11cI8aMNIaEfIxZtSCzCsyaKtUZvEqLfXleC+pLtsOeWInbwLHibkKQBqN+3GLbqQhFgifEcNAhTl/8nzMU7GgVwowh22KALiRILzTPWmci1OUa4Vov3YluUyL/bXUjgB32wo7bnAdP9cB3wDxzWKtTm/4zoPldCH04GAU/OK1Z/O8BRr9UJC2VGldjry5zirxORy6lzrKYHI1mMKfAQuU9TBNTOoA9LFEtE9olwWKoh2+qEACWXJbHY6oWV2mapEsG0EkffAkmvF6LZVlMIS9lO1O5fCru5DLrQOOjDU6CPaFzCU5si8bYmiizlu1C9+ycoih3G2J6o3feb2CfpTFDsDSLIUsyAcyn6kRDOtNRX5ze9dglprT4M9cVbENlrBnQh3kslQedctf0bhMb3hj4yxWufE4zUH96D8s0LxCBMVM64xoERpwgmS77a3Kg1HI0k6NHAOxGfGf9BK3Ed8AfMxasQEj8Chogsjx9bK/GgKdM5WCgzqsNcvA61+38iJ2Rh/dSHkSU0BfrQZLHWGiLFfF4afZQtVaLTTmkJyMIpaUMghyiQNeFQJIMqOu4RmSfi8IZXUXtgSdO2+GE3wBDlzCPcUciaTEt70kNROhpTXJ9mbtP2ulJYa0hAF6ChbJdYEy2tz7LDiurdPwoLdlSvmeIzLZV7YYrvI1ypSSTTXGoSSxS061gu1WRptNMcbHO5cMOl++RNqncvhtJQhahBF6FBBfc/ELBWF6F860KRRilu0BkISxuqit8WwzAM419Yqmg+8o5m0bBpoX5d3MCbEKxQujVvpFzrLGo6F1/CQplRFeai1ajLX47YITeIebuytQa2ukLYzYVoKNsC24GfINtqoTFECsFMbsyEbG+A4mhwrkO1qK+vRX1dDSRK00G5/XQuId24Jmu11iT+x1q9H/b6w8Idmo4p5g6LtVOQiuiLIQnQhXQuJ68hMgMx/S9C7aEVsNUcajxfM3yBGHhotCQDI5q2U2CxltZnmnMa0WMaQlOGN7lAGWMzgR5TO/aZWr3IT0uLt6kr2Ii6Q2uRPvGGbnXx9WcBXL1vlTNvb91h2OvKoTXR4EoPmOJyhNt6zb7VMBdtRXTfGUgaeyW0On5sMAzDMO3DYa1E/eENTe/rS9chPPVESLrQZjmXqQ9GaaOCWig7/Fcoz5s3D//73/+wY8cOhISEYMKECXjyySfRt2/fpjLXX389fv75ZxQUFCA8PLypTL9+R4K2HThwADfeeCOWLFkiysyePVscW+ejvgf3eBiPQK7ANnMx7OYSEbFQkW3CeulcnK8h1q7tjWvFtd1ZVmeKQ+ygq4VIbmY9jT3yQ2uLUG0twmGAVTZAka3C8tlMSNN7h3Ot0UUjsudQ6EITodjMjZbqaiHQaW2vK4TDWiPSFRhj+yA8YzL0YUlHf3+Hlf6IKNWtzauh+cmyzYyahnKxpuulJsjy3NL67G9YKvajYtt8JI29QaTSAay+PiXVQxZic8EmxA+7ELqwOOhCY+Gor3TmNS7LQ/XeFQhNGYiMk+8V8839D/V0OhiGYYIJEYy0Jg/2hjKYC5dCF5omolhH5ZwHQ2TPbj4bfhZ4m6VLl+Kmm27C6NGjYbfbce+992LGjBnYtm0bwsKcHocjR47EpZdeiszMTJSXl+Ohhx4SZfLy8qDVauFwOHD66acjOTkZK1euRGFhIa644gro9XrMnTsXvoCFMtMhSODa60thNxc3CmPnIipTaCJ0IUliXrEzWJWeQhALK6bUtHa+btpOwrJxOySdh9w56RiSOBaNVEJrbLI8HxetAVpT63NnKXJzfclalG16B4aIdIRnThHfo6F8JyzlucIaSxZMKqfRGZpGRp3XIlSMnJLodkVepGBbockjPfBdGRflmz6D1hCO+sO50Mrp0EXH+UOgS58SkjwA8obPoI9Igj4sTmzThFM6sgREZI2Bv6Owe3jQwxGPGUXhB0F3QoaF+sPr0FC+1RmUS2OAMWag6B+GpZzgkwrpD+2Av7te//DDD83ev/vuu0hMTMT69esxefJkse26665r2p+dnY3HHnsMQ4cOxb59+9CzZ08sWrRICGuyOiclJWHYsGF49NFHcffddwtRbTAY0N2wUA4ScUspiSjBO4Xbd64rhAX3iHBtFLGSU8A63ztfU7AoIYjriyFbq6ENiYc+NAm60CQYo3uLtVbfejCoNtF4MqqhExkaj48dUm7j8IwTEJY2HuaiP1Cx43MhxI2xfRGeORXG6GxxvSiQlLBcC6tx42J3rulaak2x0IXEIixtgofPkEkYex0s5XmwVuxHZelmVFmrYNVGwRiTBWNsNowx2cKtOJixmytgLsmFtTIflqpDsFYVQmeKFK73LqEcSMhg9/tgh+sAQ30Cpnuw1R5ERe5bTe+tVTubXlsqtgrjRWji2G6/HbLiB3XAITsXtdB4LtXV1c02G41GsbRFVVWVWMfGxra6v66uDu+88w5ycnKQkeFMGblq1SoMHjxYiGQXM2fOFK7YW7duxfDhw9HdsFAOUBTFIUbzzIUrhDjWGKNFgnedMUasDZE5TmHn7h6t2ETkYtd74R6s2EXDZoodCH34SULoeTZkv39BYjcsdYxYWt1PVuzGtE0ICTzhoWYo9ZAudRjCUodBBys0aEBNZRks5ftQe3Adyv78Qgx4OIWzUzzTXO1gmstcvXc5KncuhiEqDXFDzoUxJkNcE4ZhGIbpKtba/dCHZ0Mfluac4iamvNWLNU3L02hD+CL7GRmNItbFP//5T2HdPR6yLOO2227DxIkTMWjQoGb7XnnlFdx1111CKNP85Z9++qnJUlxUVNRMJBOu97TPF7BQDjBI4FLQBHPRSmiNsYjIPAX6iGyPuDRLWvW7rjCMC41G1xiUqod4T9Z+u7lcCGdLxT7U7F8t3hui092szlnHjN7tjzgaamCtKYK1ulBYjyl4l/ASsZrF92SRzDAMw3jumXMYpvhhCIkbxhc1QFyvDx48iMjII5lW2mNNprnKW7ZswfLly4/aR3OUTz75ZDH/+Omnn8asWbOwYsUKmEzqjIPCQllFiIBX5DTcibm6NHJXX7IO5uLfxZyQqJ6zoA9L9dq5Moy/Qb8pci+mJTzDOT+c5pRbKg4Id+3avJUo2/AxNIYwIZgp1zN5Bkh6yuftXIwxmdAa1Dci7rCaYSNBTGJYCGOnOJaggSGKUn4li3OPyB4LQ0Synwbm6gw8uMcwwY4/zE8NFOwNhxESr8b4K+qvAxTxWlVRrxvPJTIysplQboubb74ZCxcuxG+//Yb09PSj9kdFRYmld+/eGDduHGJiYvDVV1/hkksuEUG81qxZ06x8cbEzDhLt8wUslFWC4rDi8JaXoZCLCrk70/xgETLf0Bg+3yDC54t143Z6Tfsctlo0lP4BQ3RvxPSdLVIZBTMSRzdkBG0/cMiiGpLQWyxNVue6UljK94t5uw5rHeS6w8J1TLbUwlpTjMicCYjocYJPLc+22lLU7F8LS+UBIYoVuxWGyGToI5NhiExBWOpQ8V5r7GTsgABBgormezE+gZ8HDNeB7kMflo6qvC8QljIZprhhkKSjpzZZa/JQs/+bpn6sc32kX9vU123crnFtb61MK8dvHfUI0EBFURTccsstQvT++uuvYu5xe/6HFovFIt6PHz8ejz/+OEpKSkQgMIJcs0moDxgwAL4gYIVyQ9kmGMKShWjU6NTrSqnIDjGHmPLKGSKyENXjPCiK7Jwz7LA2JmO3Nr2mNERHkrRbRZAucqWMHXBdU0qlYIc6x/xgDG7o/ms6IZKE1Tk8USytYasrQ83epcj/eR5CkweJ4GCUJ9r5EKfgd3podM61pKOHuXOfRpTRu5XVdXiuP7UVdYWbUZO3EtbqYkRkjkZUr6lCGGtNkR6KGB9YaBQWysGOBg5fnwLjY7QS14HuIiLjFJjihqIuf7GYAhiWeiKMMU6BQ3OUKbgpWZ0haRGZc54zhSf1aR1WyK7XYm2FbKtp7Ps23+7q/1J5KIqbqDZA00Jku7bro9U/aKxW1+v2Qu7WH330EebPn4+IiIimOcVkPaa8ynv37sWnn34q0kElJCTg0KFDeOKJJ8S+0047TZSlfSSIL7/8cjz11FPiGPfff784dntcvr1BwAplW10+bNW5sNeXiPckmHWmBDFvV0R5lrTOjiqtKZiPeN9iLbZrjt5OaxEASNPuzilZpGjuBjUQ7mtqCEjgak0JiMicKcrSebnSGgHBHaWXYdQEuW3HDb0A0f1mwlywuTE/t01Ym52DWDa3xQrZ9ZoGvuz0gHe+p+2ExiWwtfpGMe163yiuG0U3YS7aKkRxZM5EhKYMCqogZAzDMIx/oA9NQXTvy2Ct2Y+6/J9Rs3+BMADRVCZKm0npMg2RvaALaX1AuiM4DUvNBXRr7xnv8+qrr4r11KlTm22nyNZz5swRc5CXLVuG559/HhUVFSJIF6WNonzJLusx5VImt22Kck3WZcq/PHv2bDzyyCM+u4UBK5QjMk+FTh8qXsv2Omfu3/oSyNZKEREaskOsxevGRbyXj7wGWSNabD+yj9ZOa0WT4G4msF3vNSKlEpXVmeKhNcWLdUj8COfrkJgOuI4wDKMGtMYIRORM6PoDvlFIQ2kU1I1iWghsOwlsa+Pajug+J0EfHu+x78AwDMMw3oK8JPV9rxLPMWHZ9YLXk9OwZAJoOd65SL6JmNwhZNm5qIUOnouiHN8CnZqaiu+++67N42RlZbWrXHcRsELZHXK9NkTQku3xYzsrBlVudwHttpYd0OgjxAhaa40Eu0syTHAiHvCUmklHc7DYbdo7qMeNjWEYJtgQKTOFd6SvUfzD9VpNwbxU5AbuS4JCKHsTp9DVkr+AH8TUCxboTvDdCGaoeedIp4zC87aDHm4HGEXh/kCww+0A01lYKDMBhwyNH4wdMt0RzosJbmQaxGSCGq4DDPUJmOBGVtRfB/w9mFegErBC2ZxXCa3WGW482JC85MYpaf1jVFYxWWGX9LDZdcF9XTUavzlXT19bvdYGg1FBvc1PgnhovfMQ91ad9Q8UyIY61FiD+2Hvlc6OQ0Xz6NpA0lWjtl72i+vqNbdLL8179Mb5euO66sLNqKtwBlD0B/zluvoVobXwizzKGvXcJzW5gfsS9Q+xMAzDMAzDMAzDMEw3ErAWZYZhGIZhGIZhgh31e1ex67U6YaHMBBySxO4iDMH1INjhtoDheG4MtwOMX9QBcnXWqGhaC7teC9j1mgk4NBrFPxpFxqudYw3XgaBHI6mo08H4BK2aOp6MT+A6wGhVNPeX8S/YoswwDMMwDMMwDOMj2PVanbBQZhiGYRiGYRiG8REc9VqdsOs1wzAMwzABCrtcMkzQw1OxmE7CFmUm4FAU9Uc3ZLwPd48ZrgMMPw8YrgOMP9QBdr1WJyyUmYBDliUoHOo0qFEUWthhJtiRZa2vT4HxMQ6Z24Fgh+sA43CoXyhDVoT7tWqQVXQuPoSfIAzDMAzDMAzDMAzjBluUGYZhGIZhGIZhfIUsOxe1oKZz8SEslBmGYRiGYRiGCVAk/4h6raKgY6pyA/ch7HrNBBySihoaxpdwPQh2uC1gOFwFw+0Aw3WA6SxsUWYCDo1GgUTRnJig7hxreMAk6NFI7DoW7Gg1XAeCHa4DjFaj/j4hR70OMItyTU0NbrvtNmRlZSEkJAQTJkzA2rVrm/YrioIHH3wQKSkpYv/06dOxa9euZsdYtWoVhg0bhuzsbLz11lvN9i1duhTTpk1DbGwsQkND0bt3b8yePRtWq7Wzp8wwDMMwDMMwDKM+12uVLUwXhPI111yDn376CR988AE2b96MGTNmCDGcn58v9j/11FP497//jddeew2rV69GWFgYZs6ciYaGhqZjXH311XjggQfw0UcfYd68eTh48KDYvm3bNpxyyikYNWoUfvvtN3H8F198EQaDAQ6Hg+8bwzAMwzAMwzAMoy7X6/r6enz55ZeYP38+Jk+eLLY99NBD+Oabb/Dqq6/i0UcfxfPPP4/7778fZ599ttj//vvvIykpCV9//TUuvvhisa2urg4jRoxAYmIiYmJihJWaWLRoEZKTk4XYdtGzZ08hnhmGYRiGYdoHW0UYJujxh6lYHPU6cCzKdrtdWHZNJlOz7eRivXz5cuTl5aGoqEhYmF1ERUVh7Nixwt3aBblm9+/fX+wbN24cBgwYILaTSC4sLBTWZIbpKIqi/uiGjPfxg8ci42W4DjD8PGC4DjD+UAd87WbNrtceFMoREREYP368sBwXFBQI0fzhhx8KEUwCl0QyQRZkd+i9a5/L9bqsrAylpaXCtdrFhRdeiEsuuQRTpkwRc5zPPfdcvPTSS6iuru7M6TJBhixLftEoMt6DYrkpCgf1D3ZkWevrU2B8jEPmdiDY4TrAOBzcJ2S6Oeo1zU2+6qqrkJaWBq1WK1yoSdyuX7++Q8ehucu0uEPHe+edd/DYY4/hl19+EXOc586diyeffBJr1qwR4vlYUBAxQnbUQwpSe4Ike6dBkPxEfDrsNtglGxx2zwZ1lzR+dl01XuggeqtuefjaSrIdGo0Mu81PIt56qTMvBblGsMMMu80/2i1voXjjJ+CQ/acOKFQHNF6JUOtxvHFMcVzv3C9vBPvxxnW12+oh2/0nvo1XrmuQZwJx2BtUfx3s9npVnZ/DcSSmVDAjKV28KzTPmCy9JF4vuugi1NbWCuswzSnesGGDiGrtgizE9P6FF17o8OdUVFSgT58++Otf/4qHH374mOUOHTqEjIyMTn8fhmEYhmEYhmECCwoanJ6eDjVBQY5zcnKaedyqheTkZDGdtuVU22CiyyY3l0WYhOyPP/4oAnDRDaeLu3jx4iahTGKaLMM33nhjpz6Hgn2RGCdhfjxSU1PFD4HcwyVKpsowDMMwDMMwTFBCNkEKGEwaQW2QCCUxqsb0twaDIahFcpeEMoliqnh9+/bF7t27ceedd6Jfv3648sorhUClHMvkOk35j0k4UxooqqDnnHNOm8d+/fXXsXHjRjE3mSzTNNpCUbO3bt3abC5za2g0GtWNFjEMwzAMwzAM4xsocLBaITEa7II04IRyVVUV7rnnHuHqHBsbi/PPPx+PP/449Hq92H/XXXcJ6+91112HyspKTJo0CT/88EO7KsKYMWNE9OwbbrhBBAsLDw/HwIEDRWopct9mGIZhGIZhGIZhGNXOUWYYhmEYhmEYhmGYQCLIY6IyDMMwDMMwDMMwTHNYKDMMwzAMwzAMwzCMGyyUGYZhGIZhGIZhGMYNFsoMwzAMwzAMwzAM4wYLZYZhGIZhGIZhGIbxB6FM+ZKTkpKg1WpFXmZKReVOUVERhgwZ0rTfaDTiL3/5S7MylJZq8ODBIrcylUlLS8OWLVualbnvvvtEQm1aHnzwwW75bswRfvvtN5x55pkixzbdI0oB5sJms+Huu+8W9zAsLEyUueKKK0TKMHfKy8tx6aWXIjIyEtHR0bj66qtRW1vbrMybb76JrKwsDB8+HKtXrxbbqAylM/vkk0+alb344ovFuezbt6/Z9uzsbJEPnPE++fn5uOyyyxAXF4eQkBBRB9atW9e0n4L10+81JSVF7J8+fTp27drV7BirVq3CsGHDxH176623mraPGzdOpJ5z57XXXhP3/N133222fc6cOTjhhBO89j0Zz/Lyyy+L+01pCMeOHYs1a9Y07cvNzcXEiRORnp6Oxx57jC+9n+HNNoGg339rS8vnAxMc/QPi119/PWa9oD4o072wLmB8gqJSHn74YWXixInKXXfdRemrlH/84x/N9vfr10/R6XTKc889pyxbtky59NJLRbl77723qcyAAQMUrVarPP3008oHH3yghIeHKxEREU37q6qqxP4nn3xSmTdvnnhdU1PTrd8z2Pnuu++U++67T/nf//4n7t9XX33VtK+yslKZPn268umnnyo7duxQVq1apYwZM0YZOXJks2OccsopytChQ5Xff/9d1IVevXopl1xySdP+/fv3i20rV65UPv/8c6V///5N+8aNG6dcf/31zY6XlJSkZGRkKO+8807Ttr1794rz++WXX7x0JRgX5eXlSlZWljJnzhxl9erV4tr/+OOPyu7du5vKPPHEE0pUVJTy9ddfK3/++ady1llnKTk5OUp9fX1TGbrPX3zxhbJixQqlZ8+eyoEDB8R2akv69u3b7ILPmjVL3PPZs2c3207n8eCDD/LN8QM++eQTxWAwKG+//baydetW5dprr1Wio6OV4uJisZ/akldeeUVZt26dMmrUKFEvGP/A220CQe07tfmFhYXNFvf/Z4Krf7BkyRLxubm5uUfVC4fD0U1XgXHBuoDxBaoVyu60JpSNRqMybdq0ZttCQkKEuHY1fvR/d9xxR9P+b7/9Vmx78803xfuDBw8KcUyNLC0kvPPz87vlOzFH0/JB2Bpr1qwR5ej+Etu2bRPv165d21Tm+++/VyRJarqXmzdvFh3j2tpa0cHKzs5uKnvPPfc0E010POpszZ07t5loos431TnuNHmfu+++W5k0adIx98uyrCQnJyv/+te/mnWa6P58/PHHTdsyMzPF/ab7TvefxBNBHWyqM9TZcR8cefnll0VnvOXgCHWWGPVDneSbbrqp6T11ZFNTU8UgKEEdaBJZVqtViCh6HjD+gbfbhPY+f5jg6h+4hHJFRYXXvhfTOVgXMN2Fal2v2yInJwe///67cL2SZRnPPvss6uvrcdFFF4n9n3/+uVjfeuutTf9z2mmnCVfthQsXivfkgkdulf369RPLySefLNx3GPVSVVUl3J7IhcrlSkevR40a1VSGXO7I3d7lQjVo0CDhph8VFYWBAwc2c7s88cQThUtmYWGheL9kyRJMmjQJ06ZNE25XLmj7+PHjhUsn410WLFgg7ueFF16IxMRE4Q5HrnEu8vLyhNsb3WcXdG/J1Zbqgwtyw+zfv7/YR+7WAwYMENvJ/ZZc7umeEtu2bRNtB7nklZWVieO77jndb7rvjLqxWq1Yv359szpBbQC9d9WJRx55RLwPDQ0V+2bOnOnDM2bU1CYwgYGn+weMf8G6gPEGOvgp1MjRw3L06NFN26699lrccsst4vXevXvFmuaduEMdX5cocnWGDxw4AJ1OxyJZ5TQ0NIg5SZdccomYb0RQ54g6Tu7QvYyNjW02h4jmoz311FOik0zz11yQaKL56SSK6bi0njJlCkaOHInDhw+LDhg1vkuXLhVCivE+9Nt99dVXcccdd+Dee+/F2rVrxYAX3afZs2c33VeKYeAOvXe/53S/aL45iaiYmJim7TSfbcyYMc3uOQ2OUJyDCRMmiPd0z2lNIpm2M+qGfqsOh6PVOrFjx46mgdLS0lJUV1cjISHBR2fKqLFNcEHtAQ2mu0MDaZmZmXzjgrB/4IKMKu5Qv3Lr1q1e+y5M52BdwHgDvxXKFLjr4MGDuP/++zF06FB8+umnYoS5V69euOuuuzp0LH4Iqh8K3DFr1iwRsIU6TJ2BgsC0hB6MNNjiEk0kiO+8807xMHWJJvpMGkwh6zPjfchDhCwAc+fOFe9pQIyC8FHALeoUdwQSxbS0ZOrUqU1eJ3SP6T1BgyT0/sorrxRrGnxjAgca9GCR7H90R5tAPPfcc82s0gR7mQVv/8DFsmXLEBER0fSePJIY9cG6gPEGful6TVEMv/32WzGy/Oijj+KCCy4Qnd4+ffqIUUGiR48eYr1///6jRh0pKibjfw9Bupc//fRT02gxkZycjJKSkmbl7Xa7qCO0rz2QACbPAhohJhfcESNGNIkm2k4LCWpy42O8D/0+W7pEkrskDVYQrvtaXFzcrAy978g937lzp4ik6/IicBfKe/bsEQNx5ILPqJ/4+HhhCexKnWCCu01wHYcG290XGjRlgrd/QJCHkXudaOmpyPge1gWMt/BLoWw2m8Wa5pm4Q++dc/wh5jIRL730UtP+77//XrjnnXHGGd16vkzXH4KU5uPnn38+atSXXGMpDRjNT3Txyy+/CAtEe4UtiSY6/kcffSRccF2ud5MnTxYWZhJOLhdtxvvQtaZ54+6QqHV1TqjTQp2cxYsXN+0nd1pyu2rvfGLyFqD7+corr4jBM3K1J8i7gNxz33777SYXbUb90L2ke+heJ6gNoPc8x9z/6Y42gfE/uqN/wPgHrAsYr6GoFIpIS+k+aKHTPPvss8VrCuFPUGRiimhJ6aGWLl2qXH311aLcxRdffFR6qGeeeaYpPRQtjHqgdFwbNmwQC92/Z599VrymqJWu6LTp6enKxo0bm6VmsFgszdI/DB8+XES0Xb58udK7d+9m6R/agiJZU12i1GGUYsRFQ0ODYjKZxHaKgs10DxS5lCLQP/7448quXbuU//73v0poaKjy4YcfNpWh+0Spf+bPn69s2rRJtA8tU8G0xeTJk8W9pfrjzoknnii2z5gxw6Pfi/Eu9Hyg3/G7774rot1ed911oo4UFRXxpfdzuqNNOFZ6KIqGzARn/+B46aHo85nuhXUB4wtUK5RJAFMD1XKh3IcE5Umk3HcajUZsp/yZ1Gi657ajkP6DBg0SqQCoTEpKivg/Rj24HkQtF0rNlJeX1+q+lil7ysrKxIOPBkEiIyOVK6+8ssP5sKdMmSKOS7kW3Zk6darYTjkame7jm2++Eb9dEj6UM/2NN944Kh3MAw88INI6UZmTTjpJdGY6wj//+U9xb90HR4iHHnpIbHelFWL8hxdffFGkAKLnAaWLavl7ZvwXb7cJx3rWcDsQvP2DY30+9wl8A+sCxhdI9Md79mqGYRiGYRiGYRiG8S/8co4ywzAMwzAMwzAMw3gLFsoMwzAMwzAMwzAM4wYLZYZhGIZhGIZhGIZxg4UywzAMwzAMwzAMw7jBQplhGIZhGIZhGIZh3GChzDAMwzAMwzAMwzBusFBmGIZhGIZhGIZhGDdYKDMMwzAMwzAMwzCMGyyUGYZhGIZhGIZhGMYNFsoMwzAMwzAMwzAM4wYLZYZhGIZhGIZhGIbBEf4f0u9qigSJoVIAAAAASUVORK5CYII=",
-      "text/plain": [
-       "<Figure size 1100x540 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "fig, ax = plt.subplots(figsize=(11, 5.4))\n",
     "map_plot = Basemap(\n",
@@ -341,7 +330,19 @@
     "colorbar = map_plot.colorbar(mesh, location=\"right\", pad=\"5%\")\n",
     "colorbar.set_label(\"K\")\n",
     "ax.set_title(\"CMIP7 ta at 500 hPa, first month\")\n",
-    "plt.show()\n"
+    "figures_dir = Path(\"figures\")\n",
+    "figures_dir.mkdir(exist_ok=True)\n",
+    "figure_path = figures_dir / \"03_pressure_level_air_temperature.png\"\n",
+    "fig.savefig(figure_path, dpi=120, bbox_inches=\"tight\")\n",
+    "plt.close(fig)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "38328f27",
+   "metadata": {},
+   "source": [
+    "![CMIP7 ta at 500 hPa, first month](figures/03_pressure_level_air_temperature.png)"
    ]
   }
  ],
diff --git a/notebooks/04_hybrid_sigma_zfactors.ipynb b/notebooks/04_hybrid_sigma_zfactors.ipynb
index b49b6f05..5a2abab3 100644
--- a/notebooks/04_hybrid_sigma_zfactors.ipynb
+++ b/notebooks/04_hybrid_sigma_zfactors.ipynb
@@ -16,10 +16,10 @@
    "id": "e502e550",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:37:12.868013Z",
-     "iopub.status.busy": "2026-05-29T22:37:12.867867Z",
-     "iopub.status.idle": "2026-05-29T22:37:13.340766Z",
-     "shell.execute_reply": "2026-05-29T22:37:13.340295Z"
+     "iopub.execute_input": "2026-05-29T22:41:59.925432Z",
+     "iopub.status.busy": "2026-05-29T22:41:59.925154Z",
+     "iopub.status.idle": "2026-05-29T22:42:00.420533Z",
+     "shell.execute_reply": "2026-05-29T22:42:00.420101Z"
     }
    },
    "outputs": [
@@ -58,10 +58,10 @@
    "id": "795d90b2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:37:13.341994Z",
-     "iopub.status.busy": "2026-05-29T22:37:13.341872Z",
-     "iopub.status.idle": "2026-05-29T22:37:13.350226Z",
-     "shell.execute_reply": "2026-05-29T22:37:13.349812Z"
+     "iopub.execute_input": "2026-05-29T22:42:00.421993Z",
+     "iopub.status.busy": "2026-05-29T22:42:00.421838Z",
+     "iopub.status.idle": "2026-05-29T22:42:00.431368Z",
+     "shell.execute_reply": "2026-05-29T22:42:00.430950Z"
     }
    },
    "outputs": [
@@ -149,10 +149,10 @@
    "id": "08d92b3e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:37:13.351521Z",
-     "iopub.status.busy": "2026-05-29T22:37:13.351447Z",
-     "iopub.status.idle": "2026-05-29T22:37:13.427697Z",
-     "shell.execute_reply": "2026-05-29T22:37:13.427250Z"
+     "iopub.execute_input": "2026-05-29T22:42:00.432637Z",
+     "iopub.status.busy": "2026-05-29T22:42:00.432543Z",
+     "iopub.status.idle": "2026-05-29T22:42:00.507662Z",
+     "shell.execute_reply": "2026-05-29T22:42:00.507310Z"
     }
    },
    "outputs": [
@@ -214,10 +214,10 @@
    "id": "85b00c73",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:37:13.428917Z",
-     "iopub.status.busy": "2026-05-29T22:37:13.428836Z",
-     "iopub.status.idle": "2026-05-29T22:37:13.545773Z",
-     "shell.execute_reply": "2026-05-29T22:37:13.545450Z"
+     "iopub.execute_input": "2026-05-29T22:42:00.508861Z",
+     "iopub.status.busy": "2026-05-29T22:42:00.508782Z",
+     "iopub.status.idle": "2026-05-29T22:42:00.621768Z",
+     "shell.execute_reply": "2026-05-29T22:42:00.621409Z"
     }
    },
    "outputs": [
@@ -251,7 +251,7 @@
       "    area_label:            u\n",
       "    branded_variable:      ta_tavg-al-hxy-u\n",
       "    branding_suffix:       tavg-al-hxy-u\n",
-      "    creation_date:         2026-05-29T22:37:13Z\n",
+      "    creation_date:         2026-05-29T22:42:00Z\n",
       "    data_specs_version:    MIP-DS7.1.0.0\n",
       "    description:           Simulation of the climate of the recent past with ...\n",
       "    drs_specs:             MIP-DRS7\n",
@@ -261,7 +261,7 @@
       "    forcing_index:         f3\n",
       "    frequency:             mon\n",
       "    grid_label:            g999\n",
-      "    history:               2026-05-29T22:37:13Z ; CMOR rewrote data to be con...\n",
+      "    history:               2026-05-29T22:42:00Z ; CMOR rewrote data to be con...\n",
       "    horizontal_label:      hxy\n",
       "    host_collection:       CMIP7\n",
       "    initialization_index:  i1\n",
@@ -285,7 +285,14 @@
       "    vertical_label:        al\n",
       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
       "    cmor_version:          3.15.1\n",
-      "    tracking_id:           hdl:21.14107/1067be1c-f925-4b15-9bdd-da3def57f2b9\n"
+      "    tracking_id:           hdl:21.14107/d8444885-4eba-40c4-a0aa-5dcb894b2710"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
      ]
     }
    ],
@@ -303,24 +310,13 @@
    "id": "07c200fc",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:37:13.547012Z",
-     "iopub.status.busy": "2026-05-29T22:37:13.546932Z",
-     "iopub.status.idle": "2026-05-29T22:37:13.678324Z",
-     "shell.execute_reply": "2026-05-29T22:37:13.677872Z"
+     "iopub.execute_input": "2026-05-29T22:42:00.623121Z",
+     "iopub.status.busy": "2026-05-29T22:42:00.623040Z",
+     "iopub.status.idle": "2026-05-29T22:42:00.759381Z",
+     "shell.execute_reply": "2026-05-29T22:42:00.758913Z"
     }
    },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1100x540 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "fig, ax = plt.subplots(figsize=(11, 5.4))\n",
     "map_plot = Basemap(\n",
@@ -345,7 +341,19 @@
     "colorbar = map_plot.colorbar(mesh, location=\"right\", pad=\"5%\")\n",
     "colorbar.set_label(\"K\")\n",
     "ax.set_title(\"CMIP7 ta on hybrid level 3, first month\")\n",
-    "plt.show()\n"
+    "figures_dir = Path(\"figures\")\n",
+    "figures_dir.mkdir(exist_ok=True)\n",
+    "figure_path = figures_dir / \"04_hybrid_sigma_zfactors.png\"\n",
+    "fig.savefig(figure_path, dpi=120, bbox_inches=\"tight\")\n",
+    "plt.close(fig)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3946413d",
+   "metadata": {},
+   "source": [
+    "![CMIP7 ta on hybrid level 3, first month](figures/04_hybrid_sigma_zfactors.png)"
    ]
   }
  ],
diff --git a/notebooks/05_curvilinear_ocean_grid.ipynb b/notebooks/05_curvilinear_ocean_grid.ipynb
index 2fb69962..cd994291 100644
--- a/notebooks/05_curvilinear_ocean_grid.ipynb
+++ b/notebooks/05_curvilinear_ocean_grid.ipynb
@@ -16,10 +16,10 @@
    "id": "b1ff03ee",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:37:14.550801Z",
-     "iopub.status.busy": "2026-05-29T22:37:14.550653Z",
-     "iopub.status.idle": "2026-05-29T22:37:15.048524Z",
-     "shell.execute_reply": "2026-05-29T22:37:15.048127Z"
+     "iopub.execute_input": "2026-05-29T22:42:01.628494Z",
+     "iopub.status.busy": "2026-05-29T22:42:01.628363Z",
+     "iopub.status.idle": "2026-05-29T22:42:02.118734Z",
+     "shell.execute_reply": "2026-05-29T22:42:02.118165Z"
     }
    },
    "outputs": [
@@ -58,10 +58,10 @@
    "id": "88d6766e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:37:15.049828Z",
-     "iopub.status.busy": "2026-05-29T22:37:15.049691Z",
-     "iopub.status.idle": "2026-05-29T22:37:15.069146Z",
-     "shell.execute_reply": "2026-05-29T22:37:15.068708Z"
+     "iopub.execute_input": "2026-05-29T22:42:02.120262Z",
+     "iopub.status.busy": "2026-05-29T22:42:02.120097Z",
+     "iopub.status.idle": "2026-05-29T22:42:02.142112Z",
+     "shell.execute_reply": "2026-05-29T22:42:02.141366Z"
     }
    },
    "outputs": [
@@ -161,10 +161,10 @@
    "id": "ab381eda",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:37:15.070360Z",
-     "iopub.status.busy": "2026-05-29T22:37:15.070280Z",
-     "iopub.status.idle": "2026-05-29T22:37:15.146840Z",
-     "shell.execute_reply": "2026-05-29T22:37:15.146460Z"
+     "iopub.execute_input": "2026-05-29T22:42:02.144092Z",
+     "iopub.status.busy": "2026-05-29T22:42:02.143932Z",
+     "iopub.status.idle": "2026-05-29T22:42:02.220059Z",
+     "shell.execute_reply": "2026-05-29T22:42:02.219575Z"
     }
    },
    "outputs": [
@@ -231,10 +231,10 @@
    "id": "98246667",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:37:15.148088Z",
-     "iopub.status.busy": "2026-05-29T22:37:15.148023Z",
-     "iopub.status.idle": "2026-05-29T22:37:15.263913Z",
-     "shell.execute_reply": "2026-05-29T22:37:15.263432Z"
+     "iopub.execute_input": "2026-05-29T22:42:02.221340Z",
+     "iopub.status.busy": "2026-05-29T22:42:02.221265Z",
+     "iopub.status.idle": "2026-05-29T22:42:02.333895Z",
+     "shell.execute_reply": "2026-05-29T22:42:02.333447Z"
     }
    },
    "outputs": [
@@ -262,7 +262,7 @@
       "    area_label:            sea\n",
       "    branded_variable:      tos_tavg-u-hxy-sea\n",
       "    branding_suffix:       tavg-u-hxy-sea\n",
-      "    creation_date:         2026-05-29T22:37:15Z\n",
+      "    creation_date:         2026-05-29T22:42:02Z\n",
       "    data_specs_version:    MIP-DS7.1.0.0\n",
       "    description:           Simulation of the climate of the recent past with ...\n",
       "    drs_specs:             MIP-DRS7\n",
@@ -272,7 +272,7 @@
       "    forcing_index:         f3\n",
       "    frequency:             mon\n",
       "    grid_label:            g999\n",
-      "    history:               2026-05-29T22:37:15Z ; CMOR rewrote data to be con...\n",
+      "    history:               2026-05-29T22:42:02Z ; CMOR rewrote data to be con...\n",
       "    horizontal_label:      hxy\n",
       "    host_collection:       CMIP7\n",
       "    initialization_index:  i1\n",
@@ -291,7 +291,7 @@
       "    table_info:            Name: CMIP7_ocean.json; Creation Date:(2026-04-21 ...\n",
       "    temporal_label:        tavg\n",
       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-      "    tracking_id:           hdl:21.14107/46431a87-4b4a-4326-bc98-707912a083a4\n",
+      "    tracking_id:           hdl:21.14107/9e86fa2f-a7b2-4da6-85e1-b39216bac7e9\n",
       "    variable_id:           tos\n",
       "    variant_label:         r9i1p1f3\n",
       "    vertical_label:        u\n",
@@ -314,24 +314,13 @@
    "id": "9148e5df",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T22:37:15.265147Z",
-     "iopub.status.busy": "2026-05-29T22:37:15.265077Z",
-     "iopub.status.idle": "2026-05-29T22:37:15.397855Z",
-     "shell.execute_reply": "2026-05-29T22:37:15.397310Z"
+     "iopub.execute_input": "2026-05-29T22:42:02.335047Z",
+     "iopub.status.busy": "2026-05-29T22:42:02.334977Z",
+     "iopub.status.idle": "2026-05-29T22:42:02.470580Z",
+     "shell.execute_reply": "2026-05-29T22:42:02.470177Z"
     }
    },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1100x540 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "fig, ax = plt.subplots(figsize=(11, 5.4))\n",
     "map_plot = Basemap(\n",
@@ -355,7 +344,19 @@
     "colorbar = map_plot.colorbar(mesh, location=\"right\", pad=\"5%\")\n",
     "colorbar.set_label(\"degC\")\n",
     "ax.set_title(\"CMIP7 tos on a curvilinear grid, first month\")\n",
-    "plt.show()\n"
+    "figures_dir = Path(\"figures\")\n",
+    "figures_dir.mkdir(exist_ok=True)\n",
+    "figure_path = figures_dir / \"05_curvilinear_ocean_grid.png\"\n",
+    "fig.savefig(figure_path, dpi=120, bbox_inches=\"tight\")\n",
+    "plt.close(fig)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b0e0e200",
+   "metadata": {},
+   "source": [
+    "![CMIP7 tos on a curvilinear grid, first month](figures/05_curvilinear_ocean_grid.png)"
    ]
   }
  ],
diff --git a/notebooks/figures/01_basic_ocean_surface_temperature.png b/notebooks/figures/01_basic_ocean_surface_temperature.png
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L*q~I;F7iJBG`dsS

literal 0
HcmV?d00001


From 5aab8ebd1d99a2d65350e86a4de0166b6a9e514e Mon Sep 17 00:00:00 2001
From: Chris Mauzey <mauzey1@llnl.gov>
Date: Fri, 29 May 2026 15:58:52 -0700
Subject: [PATCH 08/25] Simplify notebook outputs for GitHub rendering

---
 .../01_basic_ocean_surface_temperature.ipynb  | 100 +++++-----------
 .../02_atmos_surface_air_temperature.ipynb    | 109 +++++-------------
 .../03_pressure_level_air_temperature.ipynb   | 100 +++++-----------
 notebooks/04_hybrid_sigma_zfactors.ipynb      | 107 +++++------------
 notebooks/05_curvilinear_ocean_grid.ipynb     | 100 +++++-----------
 5 files changed, 131 insertions(+), 385 deletions(-)

diff --git a/notebooks/01_basic_ocean_surface_temperature.ipynb b/notebooks/01_basic_ocean_surface_temperature.ipynb
index 4859187a..416b07fb 100644
--- a/notebooks/01_basic_ocean_surface_temperature.ipynb
+++ b/notebooks/01_basic_ocean_surface_temperature.ipynb
@@ -2,7 +2,6 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "8c2d69d8",
    "metadata": {},
    "source": [
     "# Basic Ocean Surface Temperature\n",
@@ -12,16 +11,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "id": "1ef49a65",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-29T22:41:54.709213Z",
-     "iopub.status.busy": "2026-05-29T22:41:54.709000Z",
-     "iopub.status.idle": "2026-05-29T22:41:55.205442Z",
-     "shell.execute_reply": "2026-05-29T22:41:55.204958Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -54,26 +45,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "id": "98a3af92",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-29T22:41:55.206810Z",
-     "iopub.status.busy": "2026-05-29T22:41:55.206691Z",
-     "iopub.status.idle": "2026-05-29T22:41:55.214480Z",
-     "shell.execute_reply": "2026-05-29T22:41:55.213933Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "(3, 18, 36)"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(3, 18, 36)\n"
+     ]
     }
    ],
    "source": [
@@ -124,31 +104,20 @@
     "lon_term = np.cos(np.deg2rad(lon))[None, None, :]\n",
     "tos = (15.0 - 25.0 * lat_term + 1.5 * lon_term + seasonal_cycle).astype(\"f4\")\n",
     "\n",
-    "tos.shape\n"
+    "print(tos.shape)\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "id": "33c84a99",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-29T22:41:55.215816Z",
-     "iopub.status.busy": "2026-05-29T22:41:55.215715Z",
-     "iopub.status.idle": "2026-05-29T22:41:55.280389Z",
-     "shell.execute_reply": "2026-05-29T22:41:55.280055Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "PosixPath('output/01_basic_ocean_surface_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tos/tavg-u-hxy-sea/g999/v20260529/tos_tavg-u-hxy-sea_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201801-201803.nc')"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "output/01_basic_ocean_surface_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tos/tavg-u-hxy-sea/g999/v20260529/tos_tavg-u-hxy-sea_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201801-201803.nc\n"
+     ]
     }
    ],
    "source": [
@@ -182,21 +151,13 @@
     "netcdf_path = Path(cmor.close(tos_id, file_name=True))\n",
     "cmor.close()\n",
     "\n",
-    "netcdf_path.resolve().relative_to(Path.cwd().resolve())\n"
+    "print(netcdf_path.resolve().relative_to(Path.cwd().resolve()))\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "id": "52566071",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-29T22:41:55.281762Z",
-     "iopub.status.busy": "2026-05-29T22:41:55.281684Z",
-     "iopub.status.idle": "2026-05-29T22:41:55.392625Z",
-     "shell.execute_reply": "2026-05-29T22:41:55.392307Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -220,7 +181,7 @@
       "    area_label:            sea\n",
       "    branded_variable:      tos_tavg-u-hxy-sea\n",
       "    branding_suffix:       tavg-u-hxy-sea\n",
-      "    creation_date:         2026-05-29T22:41:55Z\n",
+      "    creation_date:         2026-05-29T22:57:35Z\n",
       "    data_specs_version:    MIP-DS7.1.0.0\n",
       "    description:           Simulation of the climate of the recent past with ...\n",
       "    drs_specs:             MIP-DRS7\n",
@@ -230,7 +191,7 @@
       "    forcing_index:         f3\n",
       "    frequency:             mon\n",
       "    grid_label:            g999\n",
-      "    history:               2026-05-29T22:41:55Z ; CMOR rewrote data to be con...\n",
+      "    history:               2026-05-29T22:57:35Z ; CMOR rewrote data to be con...\n",
       "    horizontal_label:      hxy\n",
       "    host_collection:       CMIP7\n",
       "    initialization_index:  i1\n",
@@ -249,7 +210,7 @@
       "    table_info:            Name: CMIP7_ocean.json; Creation Date:(2026-04-21 ...\n",
       "    temporal_label:        tavg\n",
       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-      "    tracking_id:           hdl:21.14107/7254f65a-77e5-49d1-be74-3271601b1c96\n",
+      "    tracking_id:           hdl:21.14107/def8d3d8-5c77-401d-ad2f-d7aac30782db\n",
       "    variable_id:           tos\n",
       "    variant_label:         r9i1p1f3\n",
       "    vertical_label:        u\n",
@@ -268,16 +229,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "id": "1a291a66",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-29T22:41:55.393911Z",
-     "iopub.status.busy": "2026-05-29T22:41:55.393835Z",
-     "iopub.status.idle": "2026-05-29T22:41:55.528468Z",
-     "shell.execute_reply": "2026-05-29T22:41:55.527943Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "fig, ax = plt.subplots(figsize=(11, 5.4))\n",
@@ -312,7 +265,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "34cde163",
    "metadata": {},
    "source": [
     "![CMIP7 tos, first month](figures/01_basic_ocean_surface_temperature.png)"
@@ -339,5 +291,5 @@
   }
  },
  "nbformat": 4,
- "nbformat_minor": 5
+ "nbformat_minor": 4
 }
diff --git a/notebooks/02_atmos_surface_air_temperature.ipynb b/notebooks/02_atmos_surface_air_temperature.ipynb
index b40b4605..0effcd10 100644
--- a/notebooks/02_atmos_surface_air_temperature.ipynb
+++ b/notebooks/02_atmos_surface_air_temperature.ipynb
@@ -2,7 +2,6 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "8f0fce82",
    "metadata": {},
    "source": [
     "# Atmospheric Surface Air Temperature\n",
@@ -12,16 +11,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "id": "d1d1af98",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-29T22:41:56.431609Z",
-     "iopub.status.busy": "2026-05-29T22:41:56.431439Z",
-     "iopub.status.idle": "2026-05-29T22:41:56.939685Z",
-     "shell.execute_reply": "2026-05-29T22:41:56.939243Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -54,26 +45,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "id": "284b84c2",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-29T22:41:56.940951Z",
-     "iopub.status.busy": "2026-05-29T22:41:56.940808Z",
-     "iopub.status.idle": "2026-05-29T22:41:56.949053Z",
-     "shell.execute_reply": "2026-05-29T22:41:56.948643Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "(3, 1, 18, 36)"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(3, 1, 18, 36)\n"
+     ]
     }
    ],
    "source": [
@@ -124,31 +104,20 @@
     "lon_term = np.cos(np.deg2rad(lon))[None, None, None, :]\n",
     "tas = (288.0 - 45.0 * lat_term + 2.0 * lon_term + seasonal_cycle).astype(\"f4\")\n",
     "\n",
-    "tas.shape\n"
+    "print(tas.shape)\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "id": "d2ded412",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-29T22:41:56.950177Z",
-     "iopub.status.busy": "2026-05-29T22:41:56.950103Z",
-     "iopub.status.idle": "2026-05-29T22:41:57.024931Z",
-     "shell.execute_reply": "2026-05-29T22:41:57.024540Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "PosixPath('output/02_atmos_surface_air_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tas/tavg-h2m-hxy-u/g999/v20260529/tas_tavg-h2m-hxy-u_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201801-201803.nc')"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "output/02_atmos_surface_air_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tas/tavg-h2m-hxy-u/g999/v20260529/tas_tavg-h2m-hxy-u_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201801-201803.nc\n"
+     ]
     }
    ],
    "source": [
@@ -183,21 +152,13 @@
     "netcdf_path = Path(cmor.close(tas_id, file_name=True))\n",
     "cmor.close()\n",
     "\n",
-    "netcdf_path.resolve().relative_to(Path.cwd().resolve())\n"
+    "print(netcdf_path.resolve().relative_to(Path.cwd().resolve()))\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "id": "5bf2f00d",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-29T22:41:57.026492Z",
-     "iopub.status.busy": "2026-05-29T22:41:57.026370Z",
-     "iopub.status.idle": "2026-05-29T22:41:57.141466Z",
-     "shell.execute_reply": "2026-05-29T22:41:57.141019Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -222,7 +183,7 @@
       "    area_label:            u\n",
       "    branded_variable:      tas_tavg-h2m-hxy-u\n",
       "    branding_suffix:       tavg-h2m-hxy-u\n",
-      "    creation_date:         2026-05-29T22:41:57Z\n",
+      "    creation_date:         2026-05-29T22:57:37Z\n",
       "    data_specs_version:    MIP-DS7.1.0.0\n",
       "    description:           Simulation of the climate of the recent past with ...\n",
       "    drs_specs:             MIP-DRS7\n",
@@ -232,7 +193,7 @@
       "    forcing_index:         f3\n",
       "    frequency:             mon\n",
       "    grid_label:            g999\n",
-      "    history:               2026-05-29T22:41:57Z ; CMOR rewrote data to be con...\n",
+      "    history:               2026-05-29T22:57:37Z ; CMOR rewrote data to be con...\n",
       "    horizontal_label:      hxy\n",
       "    host_collection:       CMIP7\n",
       "    initialization_index:  i1\n",
@@ -251,19 +212,12 @@
       "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
       "    temporal_label:        tavg\n",
       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-      "    tracking_id:           hdl:21.14107/4a243f89-116a-4b32-abc1-0ba74dcd332d\n",
+      "    tracking_id:           hdl:21.14107/da15486a-631d-4dc6-b356-4d45ce57bcf7\n",
       "    variable_id:           tas\n",
       "    variant_label:         r9i1p1f3\n",
       "    vertical_label:        h2m\n",
       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-      "    cmor_version:          3.15.1"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n"
+      "    cmor_version:          3.15.1\n"
      ]
     }
    ],
@@ -277,16 +231,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "id": "1daca239",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-29T22:41:57.142638Z",
-     "iopub.status.busy": "2026-05-29T22:41:57.142569Z",
-     "iopub.status.idle": "2026-05-29T22:41:57.284120Z",
-     "shell.execute_reply": "2026-05-29T22:41:57.283572Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "fig, ax = plt.subplots(figsize=(11, 5.4))\n",
@@ -321,7 +267,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9319c9c5",
    "metadata": {},
    "source": [
     "![CMIP7 tas at 2 m, first month](figures/02_atmos_surface_air_temperature.png)"
@@ -348,5 +293,5 @@
   }
  },
  "nbformat": 4,
- "nbformat_minor": 5
+ "nbformat_minor": 4
 }
diff --git a/notebooks/03_pressure_level_air_temperature.ipynb b/notebooks/03_pressure_level_air_temperature.ipynb
index 35e9acc5..d871318b 100644
--- a/notebooks/03_pressure_level_air_temperature.ipynb
+++ b/notebooks/03_pressure_level_air_temperature.ipynb
@@ -2,7 +2,6 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "8ba27efb",
    "metadata": {},
    "source": [
     "# Atmospheric Temperature On Pressure Levels\n",
@@ -12,16 +11,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "id": "4c424c5c",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-29T22:41:58.190850Z",
-     "iopub.status.busy": "2026-05-29T22:41:58.190653Z",
-     "iopub.status.idle": "2026-05-29T22:41:58.683300Z",
-     "shell.execute_reply": "2026-05-29T22:41:58.682858Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -54,26 +45,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "id": "1324ba6e",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-29T22:41:58.684929Z",
-     "iopub.status.busy": "2026-05-29T22:41:58.684761Z",
-     "iopub.status.idle": "2026-05-29T22:41:58.692942Z",
-     "shell.execute_reply": "2026-05-29T22:41:58.692568Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "(2, 19, 18, 36)"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(2, 19, 18, 36)\n"
+     ]
     }
    ],
    "source": [
@@ -149,31 +129,20 @@
     "lon_term = np.cos(np.deg2rad(lon))[None, None, None, :]\n",
     "ta = (285.0 + 32.0 * pressure_term - 35.0 * lat_term + lon_term + seasonal_cycle).astype(\"f4\")\n",
     "\n",
-    "ta.shape\n"
+    "print(ta.shape)\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "id": "c59fb308",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-29T22:41:58.694088Z",
-     "iopub.status.busy": "2026-05-29T22:41:58.694017Z",
-     "iopub.status.idle": "2026-05-29T22:41:58.770234Z",
-     "shell.execute_reply": "2026-05-29T22:41:58.769814Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "PosixPath('output/03_pressure_level_air_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/ta/tavg-p19-hxy-air/g999/v20260529/ta_tavg-p19-hxy-air_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201801-201802.nc')"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "output/03_pressure_level_air_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/ta/tavg-p19-hxy-air/g999/v20260529/ta_tavg-p19-hxy-air_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201801-201802.nc\n"
+     ]
     }
    ],
    "source": [
@@ -208,21 +177,13 @@
     "netcdf_path = Path(cmor.close(ta_id, file_name=True))\n",
     "cmor.close()\n",
     "\n",
-    "netcdf_path.resolve().relative_to(Path.cwd().resolve())\n"
+    "print(netcdf_path.resolve().relative_to(Path.cwd().resolve()))\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "id": "09d6a9fe",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-29T22:41:58.771414Z",
-     "iopub.status.busy": "2026-05-29T22:41:58.771339Z",
-     "iopub.status.idle": "2026-05-29T22:41:58.883804Z",
-     "shell.execute_reply": "2026-05-29T22:41:58.883257Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -247,7 +208,7 @@
       "    area_label:            air\n",
       "    branded_variable:      ta_tavg-p19-hxy-air\n",
       "    branding_suffix:       tavg-p19-hxy-air\n",
-      "    creation_date:         2026-05-29T22:41:58Z\n",
+      "    creation_date:         2026-05-29T22:57:39Z\n",
       "    data_specs_version:    MIP-DS7.1.0.0\n",
       "    description:           Simulation of the climate of the recent past with ...\n",
       "    drs_specs:             MIP-DRS7\n",
@@ -257,7 +218,7 @@
       "    forcing_index:         f3\n",
       "    frequency:             mon\n",
       "    grid_label:            g999\n",
-      "    history:               2026-05-29T22:41:58Z ; CMOR rewrote data to be con...\n",
+      "    history:               2026-05-29T22:57:39Z ; CMOR rewrote data to be con...\n",
       "    horizontal_label:      hxy\n",
       "    host_collection:       CMIP7\n",
       "    initialization_index:  i1\n",
@@ -276,7 +237,7 @@
       "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
       "    temporal_label:        tavg\n",
       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-      "    tracking_id:           hdl:21.14107/83903b95-15da-421b-8713-f572516d3e93\n",
+      "    tracking_id:           hdl:21.14107/74c4165a-b91e-4625-8a2c-bd95a7856a22\n",
       "    variable_id:           ta\n",
       "    variant_label:         r9i1p1f3\n",
       "    vertical_label:        p19\n",
@@ -295,16 +256,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "id": "917090d2",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-29T22:41:58.885268Z",
-     "iopub.status.busy": "2026-05-29T22:41:58.885173Z",
-     "iopub.status.idle": "2026-05-29T22:41:59.024073Z",
-     "shell.execute_reply": "2026-05-29T22:41:59.023581Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "fig, ax = plt.subplots(figsize=(11, 5.4))\n",
@@ -339,7 +292,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "38328f27",
    "metadata": {},
    "source": [
     "![CMIP7 ta at 500 hPa, first month](figures/03_pressure_level_air_temperature.png)"
@@ -366,5 +318,5 @@
   }
  },
  "nbformat": 4,
- "nbformat_minor": 5
+ "nbformat_minor": 4
 }
diff --git a/notebooks/04_hybrid_sigma_zfactors.ipynb b/notebooks/04_hybrid_sigma_zfactors.ipynb
index 5a2abab3..ce6712d7 100644
--- a/notebooks/04_hybrid_sigma_zfactors.ipynb
+++ b/notebooks/04_hybrid_sigma_zfactors.ipynb
@@ -2,7 +2,6 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "f3b725d8",
    "metadata": {},
    "source": [
     "# Hybrid Sigma Coordinate With Z-Factors\n",
@@ -12,16 +11,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "id": "e502e550",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-29T22:41:59.925432Z",
-     "iopub.status.busy": "2026-05-29T22:41:59.925154Z",
-     "iopub.status.idle": "2026-05-29T22:42:00.420533Z",
-     "shell.execute_reply": "2026-05-29T22:42:00.420101Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -54,26 +45,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "id": "795d90b2",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-29T22:42:00.421993Z",
-     "iopub.status.busy": "2026-05-29T22:42:00.421838Z",
-     "iopub.status.idle": "2026-05-29T22:42:00.431368Z",
-     "shell.execute_reply": "2026-05-29T22:42:00.430950Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "((2, 5, 18, 36), (2, 18, 36))"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(2, 5, 18, 36) (2, 18, 36)\n"
+     ]
     }
    ],
    "source": [
@@ -140,31 +120,20 @@
     "    + np.array([0.0, 150.0], dtype=\"f4\")[:, None, None]\n",
     ").astype(\"f4\")\n",
     "\n",
-    "ta.shape, ps.shape\n"
+    "print(ta.shape, ps.shape)\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "id": "08d92b3e",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-29T22:42:00.432637Z",
-     "iopub.status.busy": "2026-05-29T22:42:00.432543Z",
-     "iopub.status.idle": "2026-05-29T22:42:00.507662Z",
-     "shell.execute_reply": "2026-05-29T22:42:00.507310Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "PosixPath('output/04_hybrid_sigma_zfactors/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/ta/tavg-al-hxy-u/g999/v20260529/ta_tavg-al-hxy-u_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201801-201802.nc')"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "output/04_hybrid_sigma_zfactors/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/ta/tavg-al-hxy-u/g999/v20260529/ta_tavg-al-hxy-u_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201801-201802.nc\n"
+     ]
     }
    ],
    "source": [
@@ -205,21 +174,13 @@
     "netcdf_path = Path(cmor.close(ta_id, file_name=True))\n",
     "cmor.close()\n",
     "\n",
-    "netcdf_path.resolve().relative_to(Path.cwd().resolve())\n"
+    "print(netcdf_path.resolve().relative_to(Path.cwd().resolve()))\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "id": "85b00c73",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-29T22:42:00.508861Z",
-     "iopub.status.busy": "2026-05-29T22:42:00.508782Z",
-     "iopub.status.idle": "2026-05-29T22:42:00.621768Z",
-     "shell.execute_reply": "2026-05-29T22:42:00.621409Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -251,7 +212,7 @@
       "    area_label:            u\n",
       "    branded_variable:      ta_tavg-al-hxy-u\n",
       "    branding_suffix:       tavg-al-hxy-u\n",
-      "    creation_date:         2026-05-29T22:42:00Z\n",
+      "    creation_date:         2026-05-29T22:57:40Z\n",
       "    data_specs_version:    MIP-DS7.1.0.0\n",
       "    description:           Simulation of the climate of the recent past with ...\n",
       "    drs_specs:             MIP-DRS7\n",
@@ -261,7 +222,7 @@
       "    forcing_index:         f3\n",
       "    frequency:             mon\n",
       "    grid_label:            g999\n",
-      "    history:               2026-05-29T22:42:00Z ; CMOR rewrote data to be con...\n",
+      "    history:               2026-05-29T22:57:40Z ; CMOR rewrote data to be con...\n",
       "    horizontal_label:      hxy\n",
       "    host_collection:       CMIP7\n",
       "    initialization_index:  i1\n",
@@ -285,14 +246,7 @@
       "    vertical_label:        al\n",
       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
       "    cmor_version:          3.15.1\n",
-      "    tracking_id:           hdl:21.14107/d8444885-4eba-40c4-a0aa-5dcb894b2710"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n"
+      "    tracking_id:           hdl:21.14107/72f80a26-e8d8-456d-81ea-0cbb27c512d0\n"
      ]
     }
    ],
@@ -306,16 +260,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "id": "07c200fc",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-29T22:42:00.623121Z",
-     "iopub.status.busy": "2026-05-29T22:42:00.623040Z",
-     "iopub.status.idle": "2026-05-29T22:42:00.759381Z",
-     "shell.execute_reply": "2026-05-29T22:42:00.758913Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "fig, ax = plt.subplots(figsize=(11, 5.4))\n",
@@ -350,7 +296,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3946413d",
    "metadata": {},
    "source": [
     "![CMIP7 ta on hybrid level 3, first month](figures/04_hybrid_sigma_zfactors.png)"
@@ -377,5 +322,5 @@
   }
  },
  "nbformat": 4,
- "nbformat_minor": 5
+ "nbformat_minor": 4
 }
diff --git a/notebooks/05_curvilinear_ocean_grid.ipynb b/notebooks/05_curvilinear_ocean_grid.ipynb
index cd994291..769bc536 100644
--- a/notebooks/05_curvilinear_ocean_grid.ipynb
+++ b/notebooks/05_curvilinear_ocean_grid.ipynb
@@ -2,7 +2,6 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "7bbd1cab",
    "metadata": {},
    "source": [
     "# Ocean Surface Temperature On A Curvilinear Grid\n",
@@ -12,16 +11,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "id": "b1ff03ee",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-29T22:42:01.628494Z",
-     "iopub.status.busy": "2026-05-29T22:42:01.628363Z",
-     "iopub.status.idle": "2026-05-29T22:42:02.118734Z",
-     "shell.execute_reply": "2026-05-29T22:42:02.118165Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -54,26 +45,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "id": "88d6766e",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-29T22:42:02.120262Z",
-     "iopub.status.busy": "2026-05-29T22:42:02.120097Z",
-     "iopub.status.idle": "2026-05-29T22:42:02.142112Z",
-     "shell.execute_reply": "2026-05-29T22:42:02.141366Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "(2, 18, 36)"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(2, 18, 36)\n"
+     ]
     }
    ],
    "source": [
@@ -152,31 +132,20 @@
     "    + seasonal_cycle\n",
     ").astype(\"f4\")\n",
     "\n",
-    "tos.shape\n"
+    "print(tos.shape)\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "id": "ab381eda",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-29T22:42:02.144092Z",
-     "iopub.status.busy": "2026-05-29T22:42:02.143932Z",
-     "iopub.status.idle": "2026-05-29T22:42:02.220059Z",
-     "shell.execute_reply": "2026-05-29T22:42:02.219575Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "PosixPath('output/05_curvilinear_ocean_grid/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tos/tavg-u-hxy-sea/g999/v20260529/tos_tavg-u-hxy-sea_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201801-201802.nc')"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "output/05_curvilinear_ocean_grid/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tos/tavg-u-hxy-sea/g999/v20260529/tos_tavg-u-hxy-sea_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201801-201802.nc\n"
+     ]
     }
    ],
    "source": [
@@ -222,21 +191,13 @@
     "netcdf_path = Path(cmor.close(tos_id, file_name=True))\n",
     "cmor.close()\n",
     "\n",
-    "netcdf_path.resolve().relative_to(Path.cwd().resolve())\n"
+    "print(netcdf_path.resolve().relative_to(Path.cwd().resolve()))\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "id": "98246667",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-29T22:42:02.221340Z",
-     "iopub.status.busy": "2026-05-29T22:42:02.221265Z",
-     "iopub.status.idle": "2026-05-29T22:42:02.333895Z",
-     "shell.execute_reply": "2026-05-29T22:42:02.333447Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -262,7 +223,7 @@
       "    area_label:            sea\n",
       "    branded_variable:      tos_tavg-u-hxy-sea\n",
       "    branding_suffix:       tavg-u-hxy-sea\n",
-      "    creation_date:         2026-05-29T22:42:02Z\n",
+      "    creation_date:         2026-05-29T22:57:42Z\n",
       "    data_specs_version:    MIP-DS7.1.0.0\n",
       "    description:           Simulation of the climate of the recent past with ...\n",
       "    drs_specs:             MIP-DRS7\n",
@@ -272,7 +233,7 @@
       "    forcing_index:         f3\n",
       "    frequency:             mon\n",
       "    grid_label:            g999\n",
-      "    history:               2026-05-29T22:42:02Z ; CMOR rewrote data to be con...\n",
+      "    history:               2026-05-29T22:57:42Z ; CMOR rewrote data to be con...\n",
       "    horizontal_label:      hxy\n",
       "    host_collection:       CMIP7\n",
       "    initialization_index:  i1\n",
@@ -291,7 +252,7 @@
       "    table_info:            Name: CMIP7_ocean.json; Creation Date:(2026-04-21 ...\n",
       "    temporal_label:        tavg\n",
       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-      "    tracking_id:           hdl:21.14107/9e86fa2f-a7b2-4da6-85e1-b39216bac7e9\n",
+      "    tracking_id:           hdl:21.14107/5f42a4bc-b72f-4b0e-b9f8-b9e85bd8b9e4\n",
       "    variable_id:           tos\n",
       "    variant_label:         r9i1p1f3\n",
       "    vertical_label:        u\n",
@@ -310,16 +271,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "id": "9148e5df",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-29T22:42:02.335047Z",
-     "iopub.status.busy": "2026-05-29T22:42:02.334977Z",
-     "iopub.status.idle": "2026-05-29T22:42:02.470580Z",
-     "shell.execute_reply": "2026-05-29T22:42:02.470177Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "fig, ax = plt.subplots(figsize=(11, 5.4))\n",
@@ -353,7 +306,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b0e0e200",
    "metadata": {},
    "source": [
     "![CMIP7 tos on a curvilinear grid, first month](figures/05_curvilinear_ocean_grid.png)"
@@ -380,5 +332,5 @@
   }
  },
  "nbformat": 4,
- "nbformat_minor": 5
+ "nbformat_minor": 4
 }

From d67186c38937a5792d311472a23cb09a2dda91ea Mon Sep 17 00:00:00 2001
From: Chris Mauzey <mauzey1@llnl.gov>
Date: Fri, 29 May 2026 16:18:52 -0700
Subject: [PATCH 09/25] Restore inline notebook plot outputs

---
 .../01_basic_ocean_surface_temperature.ipynb  |  87 +++++++++++-----
 .../02_atmos_surface_air_temperature.ipynb    |  87 +++++++++++-----
 .../03_pressure_level_air_temperature.ipynb   |  96 +++++++++++++-----
 notebooks/04_hybrid_sigma_zfactors.ipynb      |  87 +++++++++++-----
 notebooks/05_curvilinear_ocean_grid.ipynb     |  87 +++++++++++-----
 .../01_basic_ocean_surface_temperature.png    | Bin 155384 -> 0 bytes
 .../02_atmos_surface_air_temperature.png      | Bin 151653 -> 0 bytes
 .../03_pressure_level_air_temperature.png     | Bin 150599 -> 0 bytes
 .../figures/04_hybrid_sigma_zfactors.png      | Bin 151649 -> 0 bytes
 .../figures/05_curvilinear_ocean_grid.png     | Bin 159840 -> 0 bytes
 10 files changed, 313 insertions(+), 131 deletions(-)
 delete mode 100644 notebooks/figures/01_basic_ocean_surface_temperature.png
 delete mode 100644 notebooks/figures/02_atmos_surface_air_temperature.png
 delete mode 100644 notebooks/figures/03_pressure_level_air_temperature.png
 delete mode 100644 notebooks/figures/04_hybrid_sigma_zfactors.png
 delete mode 100644 notebooks/figures/05_curvilinear_ocean_grid.png

diff --git a/notebooks/01_basic_ocean_surface_temperature.ipynb b/notebooks/01_basic_ocean_surface_temperature.ipynb
index 416b07fb..0e355ef0 100644
--- a/notebooks/01_basic_ocean_surface_temperature.ipynb
+++ b/notebooks/01_basic_ocean_surface_temperature.ipynb
@@ -11,8 +11,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 1,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T23:16:04.016564Z",
+     "iopub.status.busy": "2026-05-29T23:16:04.016380Z",
+     "iopub.status.idle": "2026-05-29T23:16:04.511636Z",
+     "shell.execute_reply": "2026-05-29T23:16:04.511083Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -45,8 +52,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 2,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T23:16:04.526031Z",
+     "iopub.status.busy": "2026-05-29T23:16:04.525866Z",
+     "iopub.status.idle": "2026-05-29T23:16:04.531617Z",
+     "shell.execute_reply": "2026-05-29T23:16:04.531141Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -109,8 +123,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 3,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T23:16:04.532783Z",
+     "iopub.status.busy": "2026-05-29T23:16:04.532700Z",
+     "iopub.status.idle": "2026-05-29T23:16:04.601336Z",
+     "shell.execute_reply": "2026-05-29T23:16:04.600931Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -156,8 +177,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 4,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T23:16:04.602489Z",
+     "iopub.status.busy": "2026-05-29T23:16:04.602414Z",
+     "iopub.status.idle": "2026-05-29T23:16:04.714298Z",
+     "shell.execute_reply": "2026-05-29T23:16:04.713918Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -181,7 +209,7 @@
       "    area_label:            sea\n",
       "    branded_variable:      tos_tavg-u-hxy-sea\n",
       "    branding_suffix:       tavg-u-hxy-sea\n",
-      "    creation_date:         2026-05-29T22:57:35Z\n",
+      "    creation_date:         2026-05-29T23:16:04Z\n",
       "    data_specs_version:    MIP-DS7.1.0.0\n",
       "    description:           Simulation of the climate of the recent past with ...\n",
       "    drs_specs:             MIP-DRS7\n",
@@ -191,7 +219,7 @@
       "    forcing_index:         f3\n",
       "    frequency:             mon\n",
       "    grid_label:            g999\n",
-      "    history:               2026-05-29T22:57:35Z ; CMOR rewrote data to be con...\n",
+      "    history:               2026-05-29T23:16:04Z ; CMOR rewrote data to be con...\n",
       "    horizontal_label:      hxy\n",
       "    host_collection:       CMIP7\n",
       "    initialization_index:  i1\n",
@@ -210,7 +238,7 @@
       "    table_info:            Name: CMIP7_ocean.json; Creation Date:(2026-04-21 ...\n",
       "    temporal_label:        tavg\n",
       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-      "    tracking_id:           hdl:21.14107/def8d3d8-5c77-401d-ad2f-d7aac30782db\n",
+      "    tracking_id:           hdl:21.14107/19e11db6-e3cd-4bbe-8fe0-ee49e40bdf81\n",
       "    variable_id:           tos\n",
       "    variant_label:         r9i1p1f3\n",
       "    vertical_label:        u\n",
@@ -229,9 +257,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 5,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T23:16:04.715656Z",
+     "iopub.status.busy": "2026-05-29T23:16:04.715588Z",
+     "iopub.status.idle": "2026-05-29T23:16:04.850135Z",
+     "shell.execute_reply": "2026-05-29T23:16:04.849701Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x540 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "fig, ax = plt.subplots(figsize=(11, 5.4))\n",
     "map_plot = Basemap(\n",
@@ -256,18 +302,7 @@
     "colorbar = map_plot.colorbar(mesh, location=\"right\", pad=\"5%\")\n",
     "colorbar.set_label(\"degC\")\n",
     "ax.set_title(\"CMIP7 tos, first month\")\n",
-    "figures_dir = Path(\"figures\")\n",
-    "figures_dir.mkdir(exist_ok=True)\n",
-    "figure_path = figures_dir / \"01_basic_ocean_surface_temperature.png\"\n",
-    "fig.savefig(figure_path, dpi=120, bbox_inches=\"tight\")\n",
-    "plt.close(fig)\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![CMIP7 tos, first month](figures/01_basic_ocean_surface_temperature.png)"
+    "plt.show()\n"
    ]
   }
  ],
diff --git a/notebooks/02_atmos_surface_air_temperature.ipynb b/notebooks/02_atmos_surface_air_temperature.ipynb
index 0effcd10..94bbb8e5 100644
--- a/notebooks/02_atmos_surface_air_temperature.ipynb
+++ b/notebooks/02_atmos_surface_air_temperature.ipynb
@@ -11,8 +11,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 1,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T23:16:05.718971Z",
+     "iopub.status.busy": "2026-05-29T23:16:05.718821Z",
+     "iopub.status.idle": "2026-05-29T23:16:06.220313Z",
+     "shell.execute_reply": "2026-05-29T23:16:06.219854Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -45,8 +52,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 2,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T23:16:06.221578Z",
+     "iopub.status.busy": "2026-05-29T23:16:06.221455Z",
+     "iopub.status.idle": "2026-05-29T23:16:06.226458Z",
+     "shell.execute_reply": "2026-05-29T23:16:06.226089Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -109,8 +123,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 3,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T23:16:06.227669Z",
+     "iopub.status.busy": "2026-05-29T23:16:06.227594Z",
+     "iopub.status.idle": "2026-05-29T23:16:06.298832Z",
+     "shell.execute_reply": "2026-05-29T23:16:06.298419Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -157,8 +178,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 4,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T23:16:06.299924Z",
+     "iopub.status.busy": "2026-05-29T23:16:06.299849Z",
+     "iopub.status.idle": "2026-05-29T23:16:06.422994Z",
+     "shell.execute_reply": "2026-05-29T23:16:06.422527Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -183,7 +211,7 @@
       "    area_label:            u\n",
       "    branded_variable:      tas_tavg-h2m-hxy-u\n",
       "    branding_suffix:       tavg-h2m-hxy-u\n",
-      "    creation_date:         2026-05-29T22:57:37Z\n",
+      "    creation_date:         2026-05-29T23:16:06Z\n",
       "    data_specs_version:    MIP-DS7.1.0.0\n",
       "    description:           Simulation of the climate of the recent past with ...\n",
       "    drs_specs:             MIP-DRS7\n",
@@ -193,7 +221,7 @@
       "    forcing_index:         f3\n",
       "    frequency:             mon\n",
       "    grid_label:            g999\n",
-      "    history:               2026-05-29T22:57:37Z ; CMOR rewrote data to be con...\n",
+      "    history:               2026-05-29T23:16:06Z ; CMOR rewrote data to be con...\n",
       "    horizontal_label:      hxy\n",
       "    host_collection:       CMIP7\n",
       "    initialization_index:  i1\n",
@@ -212,7 +240,7 @@
       "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
       "    temporal_label:        tavg\n",
       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-      "    tracking_id:           hdl:21.14107/da15486a-631d-4dc6-b356-4d45ce57bcf7\n",
+      "    tracking_id:           hdl:21.14107/430caf1c-3c65-41c1-bc46-98bc26ff0a8e\n",
       "    variable_id:           tas\n",
       "    variant_label:         r9i1p1f3\n",
       "    vertical_label:        h2m\n",
@@ -231,9 +259,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 5,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T23:16:06.424103Z",
+     "iopub.status.busy": "2026-05-29T23:16:06.424018Z",
+     "iopub.status.idle": "2026-05-29T23:16:06.558798Z",
+     "shell.execute_reply": "2026-05-29T23:16:06.558288Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x540 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "fig, ax = plt.subplots(figsize=(11, 5.4))\n",
     "map_plot = Basemap(\n",
@@ -258,18 +304,7 @@
     "colorbar = map_plot.colorbar(mesh, location=\"right\", pad=\"5%\")\n",
     "colorbar.set_label(\"K\")\n",
     "ax.set_title(\"CMIP7 tas at 2 m, first month\")\n",
-    "figures_dir = Path(\"figures\")\n",
-    "figures_dir.mkdir(exist_ok=True)\n",
-    "figure_path = figures_dir / \"02_atmos_surface_air_temperature.png\"\n",
-    "fig.savefig(figure_path, dpi=120, bbox_inches=\"tight\")\n",
-    "plt.close(fig)\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![CMIP7 tas at 2 m, first month](figures/02_atmos_surface_air_temperature.png)"
+    "plt.show()\n"
    ]
   }
  ],
diff --git a/notebooks/03_pressure_level_air_temperature.ipynb b/notebooks/03_pressure_level_air_temperature.ipynb
index d871318b..26d26388 100644
--- a/notebooks/03_pressure_level_air_temperature.ipynb
+++ b/notebooks/03_pressure_level_air_temperature.ipynb
@@ -11,8 +11,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 1,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T23:16:07.497441Z",
+     "iopub.status.busy": "2026-05-29T23:16:07.497261Z",
+     "iopub.status.idle": "2026-05-29T23:16:07.995169Z",
+     "shell.execute_reply": "2026-05-29T23:16:07.994757Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -45,8 +52,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 2,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T23:16:07.996559Z",
+     "iopub.status.busy": "2026-05-29T23:16:07.996407Z",
+     "iopub.status.idle": "2026-05-29T23:16:08.003242Z",
+     "shell.execute_reply": "2026-05-29T23:16:08.002863Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -134,8 +148,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 3,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T23:16:08.004409Z",
+     "iopub.status.busy": "2026-05-29T23:16:08.004329Z",
+     "iopub.status.idle": "2026-05-29T23:16:08.080462Z",
+     "shell.execute_reply": "2026-05-29T23:16:08.080025Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -182,8 +203,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 4,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T23:16:08.081856Z",
+     "iopub.status.busy": "2026-05-29T23:16:08.081778Z",
+     "iopub.status.idle": "2026-05-29T23:16:08.195902Z",
+     "shell.execute_reply": "2026-05-29T23:16:08.195564Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -208,7 +236,7 @@
       "    area_label:            air\n",
       "    branded_variable:      ta_tavg-p19-hxy-air\n",
       "    branding_suffix:       tavg-p19-hxy-air\n",
-      "    creation_date:         2026-05-29T22:57:39Z\n",
+      "    creation_date:         2026-05-29T23:16:08Z\n",
       "    data_specs_version:    MIP-DS7.1.0.0\n",
       "    description:           Simulation of the climate of the recent past with ...\n",
       "    drs_specs:             MIP-DRS7\n",
@@ -218,7 +246,7 @@
       "    forcing_index:         f3\n",
       "    frequency:             mon\n",
       "    grid_label:            g999\n",
-      "    history:               2026-05-29T22:57:39Z ; CMOR rewrote data to be con...\n",
+      "    history:               2026-05-29T23:16:08Z ; CMOR rewrote data to be con...\n",
       "    horizontal_label:      hxy\n",
       "    host_collection:       CMIP7\n",
       "    initialization_index:  i1\n",
@@ -237,12 +265,19 @@
       "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
       "    temporal_label:        tavg\n",
       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-      "    tracking_id:           hdl:21.14107/74c4165a-b91e-4625-8a2c-bd95a7856a22\n",
+      "    tracking_id:           hdl:21.14107/674a0662-c1d9-4c71-9b4f-8da5a389a083\n",
       "    variable_id:           ta\n",
       "    variant_label:         r9i1p1f3\n",
       "    vertical_label:        p19\n",
       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-      "    cmor_version:          3.15.1\n"
+      "    cmor_version:          3.15.1"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
      ]
     }
    ],
@@ -256,9 +291,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 5,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T23:16:08.197228Z",
+     "iopub.status.busy": "2026-05-29T23:16:08.197150Z",
+     "iopub.status.idle": "2026-05-29T23:16:08.331612Z",
+     "shell.execute_reply": "2026-05-29T23:16:08.331164Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x540 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "fig, ax = plt.subplots(figsize=(11, 5.4))\n",
     "map_plot = Basemap(\n",
@@ -283,18 +336,7 @@
     "colorbar = map_plot.colorbar(mesh, location=\"right\", pad=\"5%\")\n",
     "colorbar.set_label(\"K\")\n",
     "ax.set_title(\"CMIP7 ta at 500 hPa, first month\")\n",
-    "figures_dir = Path(\"figures\")\n",
-    "figures_dir.mkdir(exist_ok=True)\n",
-    "figure_path = figures_dir / \"03_pressure_level_air_temperature.png\"\n",
-    "fig.savefig(figure_path, dpi=120, bbox_inches=\"tight\")\n",
-    "plt.close(fig)\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![CMIP7 ta at 500 hPa, first month](figures/03_pressure_level_air_temperature.png)"
+    "plt.show()\n"
    ]
   }
  ],
diff --git a/notebooks/04_hybrid_sigma_zfactors.ipynb b/notebooks/04_hybrid_sigma_zfactors.ipynb
index ce6712d7..044ab50b 100644
--- a/notebooks/04_hybrid_sigma_zfactors.ipynb
+++ b/notebooks/04_hybrid_sigma_zfactors.ipynb
@@ -11,8 +11,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 1,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T23:16:09.207112Z",
+     "iopub.status.busy": "2026-05-29T23:16:09.207029Z",
+     "iopub.status.idle": "2026-05-29T23:16:09.692070Z",
+     "shell.execute_reply": "2026-05-29T23:16:09.691728Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -45,8 +52,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 2,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T23:16:09.693509Z",
+     "iopub.status.busy": "2026-05-29T23:16:09.693387Z",
+     "iopub.status.idle": "2026-05-29T23:16:09.700698Z",
+     "shell.execute_reply": "2026-05-29T23:16:09.700301Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -125,8 +139,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 3,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T23:16:09.701871Z",
+     "iopub.status.busy": "2026-05-29T23:16:09.701799Z",
+     "iopub.status.idle": "2026-05-29T23:16:09.774369Z",
+     "shell.execute_reply": "2026-05-29T23:16:09.773921Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -179,8 +200,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 4,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T23:16:09.775542Z",
+     "iopub.status.busy": "2026-05-29T23:16:09.775470Z",
+     "iopub.status.idle": "2026-05-29T23:16:09.886503Z",
+     "shell.execute_reply": "2026-05-29T23:16:09.886135Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -212,7 +240,7 @@
       "    area_label:            u\n",
       "    branded_variable:      ta_tavg-al-hxy-u\n",
       "    branding_suffix:       tavg-al-hxy-u\n",
-      "    creation_date:         2026-05-29T22:57:40Z\n",
+      "    creation_date:         2026-05-29T23:16:09Z\n",
       "    data_specs_version:    MIP-DS7.1.0.0\n",
       "    description:           Simulation of the climate of the recent past with ...\n",
       "    drs_specs:             MIP-DRS7\n",
@@ -222,7 +250,7 @@
       "    forcing_index:         f3\n",
       "    frequency:             mon\n",
       "    grid_label:            g999\n",
-      "    history:               2026-05-29T22:57:40Z ; CMOR rewrote data to be con...\n",
+      "    history:               2026-05-29T23:16:09Z ; CMOR rewrote data to be con...\n",
       "    horizontal_label:      hxy\n",
       "    host_collection:       CMIP7\n",
       "    initialization_index:  i1\n",
@@ -246,7 +274,7 @@
       "    vertical_label:        al\n",
       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
       "    cmor_version:          3.15.1\n",
-      "    tracking_id:           hdl:21.14107/72f80a26-e8d8-456d-81ea-0cbb27c512d0\n"
+      "    tracking_id:           hdl:21.14107/a1e33c51-f8f3-45f6-9fff-eb0cbcd86322\n"
      ]
     }
    ],
@@ -260,9 +288,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 5,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T23:16:09.887780Z",
+     "iopub.status.busy": "2026-05-29T23:16:09.887697Z",
+     "iopub.status.idle": "2026-05-29T23:16:10.024011Z",
+     "shell.execute_reply": "2026-05-29T23:16:10.023659Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x540 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "fig, ax = plt.subplots(figsize=(11, 5.4))\n",
     "map_plot = Basemap(\n",
@@ -287,18 +333,7 @@
     "colorbar = map_plot.colorbar(mesh, location=\"right\", pad=\"5%\")\n",
     "colorbar.set_label(\"K\")\n",
     "ax.set_title(\"CMIP7 ta on hybrid level 3, first month\")\n",
-    "figures_dir = Path(\"figures\")\n",
-    "figures_dir.mkdir(exist_ok=True)\n",
-    "figure_path = figures_dir / \"04_hybrid_sigma_zfactors.png\"\n",
-    "fig.savefig(figure_path, dpi=120, bbox_inches=\"tight\")\n",
-    "plt.close(fig)\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![CMIP7 ta on hybrid level 3, first month](figures/04_hybrid_sigma_zfactors.png)"
+    "plt.show()\n"
    ]
   }
  ],
diff --git a/notebooks/05_curvilinear_ocean_grid.ipynb b/notebooks/05_curvilinear_ocean_grid.ipynb
index 769bc536..ed2c0b53 100644
--- a/notebooks/05_curvilinear_ocean_grid.ipynb
+++ b/notebooks/05_curvilinear_ocean_grid.ipynb
@@ -11,8 +11,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 1,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T23:16:10.937210Z",
+     "iopub.status.busy": "2026-05-29T23:16:10.937031Z",
+     "iopub.status.idle": "2026-05-29T23:16:11.450867Z",
+     "shell.execute_reply": "2026-05-29T23:16:11.450405Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -45,8 +52,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 2,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T23:16:11.452520Z",
+     "iopub.status.busy": "2026-05-29T23:16:11.452357Z",
+     "iopub.status.idle": "2026-05-29T23:16:11.471219Z",
+     "shell.execute_reply": "2026-05-29T23:16:11.470811Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -137,8 +151,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 3,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T23:16:11.472535Z",
+     "iopub.status.busy": "2026-05-29T23:16:11.472455Z",
+     "iopub.status.idle": "2026-05-29T23:16:11.546782Z",
+     "shell.execute_reply": "2026-05-29T23:16:11.546334Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -196,8 +217,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 4,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T23:16:11.548013Z",
+     "iopub.status.busy": "2026-05-29T23:16:11.547941Z",
+     "iopub.status.idle": "2026-05-29T23:16:11.661665Z",
+     "shell.execute_reply": "2026-05-29T23:16:11.661168Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -223,7 +251,7 @@
       "    area_label:            sea\n",
       "    branded_variable:      tos_tavg-u-hxy-sea\n",
       "    branding_suffix:       tavg-u-hxy-sea\n",
-      "    creation_date:         2026-05-29T22:57:42Z\n",
+      "    creation_date:         2026-05-29T23:16:11Z\n",
       "    data_specs_version:    MIP-DS7.1.0.0\n",
       "    description:           Simulation of the climate of the recent past with ...\n",
       "    drs_specs:             MIP-DRS7\n",
@@ -233,7 +261,7 @@
       "    forcing_index:         f3\n",
       "    frequency:             mon\n",
       "    grid_label:            g999\n",
-      "    history:               2026-05-29T22:57:42Z ; CMOR rewrote data to be con...\n",
+      "    history:               2026-05-29T23:16:11Z ; CMOR rewrote data to be con...\n",
       "    horizontal_label:      hxy\n",
       "    host_collection:       CMIP7\n",
       "    initialization_index:  i1\n",
@@ -252,7 +280,7 @@
       "    table_info:            Name: CMIP7_ocean.json; Creation Date:(2026-04-21 ...\n",
       "    temporal_label:        tavg\n",
       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-      "    tracking_id:           hdl:21.14107/5f42a4bc-b72f-4b0e-b9f8-b9e85bd8b9e4\n",
+      "    tracking_id:           hdl:21.14107/1855e6cc-3076-40fa-95b0-8891ab8f2c20\n",
       "    variable_id:           tos\n",
       "    variant_label:         r9i1p1f3\n",
       "    vertical_label:        u\n",
@@ -271,9 +299,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 5,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T23:16:11.662966Z",
+     "iopub.status.busy": "2026-05-29T23:16:11.662887Z",
+     "iopub.status.idle": "2026-05-29T23:16:11.799907Z",
+     "shell.execute_reply": "2026-05-29T23:16:11.799439Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x540 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "fig, ax = plt.subplots(figsize=(11, 5.4))\n",
     "map_plot = Basemap(\n",
@@ -297,18 +343,7 @@
     "colorbar = map_plot.colorbar(mesh, location=\"right\", pad=\"5%\")\n",
     "colorbar.set_label(\"degC\")\n",
     "ax.set_title(\"CMIP7 tos on a curvilinear grid, first month\")\n",
-    "figures_dir = Path(\"figures\")\n",
-    "figures_dir.mkdir(exist_ok=True)\n",
-    "figure_path = figures_dir / \"05_curvilinear_ocean_grid.png\"\n",
-    "fig.savefig(figure_path, dpi=120, bbox_inches=\"tight\")\n",
-    "plt.close(fig)\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![CMIP7 tos on a curvilinear grid, first month](figures/05_curvilinear_ocean_grid.png)"
+    "plt.show()\n"
    ]
   }
  ],
diff --git a/notebooks/figures/01_basic_ocean_surface_temperature.png b/notebooks/figures/01_basic_ocean_surface_temperature.png
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From 561bcc4c20e6b7d20093da5bc37bbdba864f4c9c Mon Sep 17 00:00:00 2001
From: Chris Mauzey <mauzey1@llnl.gov>
Date: Fri, 29 May 2026 17:02:39 -0700
Subject: [PATCH 10/25] Add non lat-lon grid example notebook

---
 ...06_non_lat_lon_sea_ice_concentration.ipynb | 397 ++++++++++++++++++
 notebooks/README.md                           |   5 +-
 2 files changed, 400 insertions(+), 2 deletions(-)
 create mode 100644 notebooks/06_non_lat_lon_sea_ice_concentration.ipynb

diff --git a/notebooks/06_non_lat_lon_sea_ice_concentration.ipynb b/notebooks/06_non_lat_lon_sea_ice_concentration.ipynb
new file mode 100644
index 00000000..345db76d
--- /dev/null
+++ b/notebooks/06_non_lat_lon_sea_ice_concentration.ipynb
@@ -0,0 +1,397 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "ec48bf48",
+   "metadata": {},
+   "source": [
+    "# Sea Ice Concentration On A Projected Grid\n",
+    "\n",
+    "Create a CMIP7 monthly sea-ice area percentage file (`siconc_tavg-u-hxy-u`) using the Northern Hemisphere EASE2 Lambert azimuthal equal-area grid from `data/ice_conc_nh_ease2-250_cdr-v3p1_202002.nc`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "afaab710",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T23:55:25.148767Z",
+     "iopub.status.busy": "2026-05-29T23:55:25.148644Z",
+     "iopub.status.idle": "2026-05-29T23:55:25.653262Z",
+     "shell.execute_reply": "2026-05-29T23:55:25.652848Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Using CMIP7 tables from ../cmip7-cmor-tables/tables\n"
+     ]
+    }
+   ],
+   "source": [
+    "from pathlib import Path\n",
+    "import json\n",
+    "import os\n",
+    "import shutil\n",
+    "\n",
+    "os.environ.setdefault(\"MPLCONFIGDIR\", str((Path(\"output\") / \".matplotlib\").resolve()))\n",
+    "os.environ.setdefault(\"XDG_CACHE_HOME\", str((Path(\"output\") / \".cache\").resolve()))\n",
+    "Path(os.environ[\"MPLCONFIGDIR\"]).mkdir(parents=True, exist_ok=True)\n",
+    "Path(os.environ[\"XDG_CACHE_HOME\"]).mkdir(parents=True, exist_ok=True)\n",
+    "\n",
+    "import cmor\n",
+    "import matplotlib.pyplot as plt\n",
+    "from mpl_toolkits.basemap import Basemap\n",
+    "import numpy as np\n",
+    "import pyproj\n",
+    "import xarray as xr\n",
+    "\n",
+    "TABLES_DIR = \"../cmip7-cmor-tables/tables\"\n",
+    "CV_PATH = \"../cmip7-cmor-tables/tables-cvs/cmor-cvs.json\"\n",
+    "DATA_PATH = Path(\"data\") / \"ice_conc_nh_ease2-250_cdr-v3p1_202002.nc\"\n",
+    "if not Path(TABLES_DIR).exists():\n",
+    "    raise FileNotFoundError(f\"CMIP7 tables directory not found: {TABLES_DIR}\")\n",
+    "if not Path(CV_PATH).exists():\n",
+    "    raise FileNotFoundError(f\"CMIP7 CV file not found: {CV_PATH}\")\n",
+    "if not DATA_PATH.exists():\n",
+    "    raise FileNotFoundError(f\"Source data file not found: {DATA_PATH}\")\n",
+    "\n",
+    "print(f\"Using CMIP7 tables from {TABLES_DIR}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "5edce0e9",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T23:55:25.654753Z",
+     "iopub.status.busy": "2026-05-29T23:55:25.654592Z",
+     "iopub.status.idle": "2026-05-29T23:55:25.784593Z",
+     "shell.execute_reply": "2026-05-29T23:55:25.784159Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(1, 432, 432) (432, 432) (432, 432, 4)\n"
+     ]
+    }
+   ],
+   "source": [
+    "run_dir = Path(\"output\") / \"06_non_lat_lon_sea_ice_concentration\"\n",
+    "if run_dir.exists():\n",
+    "    shutil.rmtree(run_dir)\n",
+    "output_dir = run_dir / \"cmor_output\"\n",
+    "output_dir.mkdir(parents=True)\n",
+    "\n",
+    "DATASET_INFO = {\n",
+    "    \"_AXIS_ENTRY_FILE\": \"CMIP7_coordinate.json\",\n",
+    "    \"_FORMULA_VAR_FILE\": \"CMIP7_formula_terms.json\",\n",
+    "    \"_cmip7_option\": 1,\n",
+    "    \"_controlled_vocabulary_file\": CV_PATH,\n",
+    "    \"activity_id\": \"CMIP\",\n",
+    "    \"calendar\": \"standard\",\n",
+    "    \"drs_specs\": \"MIP-DRS7\",\n",
+    "    \"experiment_id\": \"amip\",\n",
+    "    \"forcing_index\": \"f3\",\n",
+    "    \"frequency\": \"mon\",\n",
+    "    \"grid_label\": \"g999\",\n",
+    "    \"host_collection\": \"CMIP7\",\n",
+    "    \"initialization_index\": \"i1\",\n",
+    "    \"institution_id\": \"CCCma\",\n",
+    "    \"license_id\": \"CC-BY-4.0\",\n",
+    "    \"mip_era\": \"CMIP7\",\n",
+    "    \"nominal_resolution\": \"25 km\",\n",
+    "    \"outpath\": str(output_dir),\n",
+    "    \"physics_index\": \"p1\",\n",
+    "    \"realization_index\": \"r9\",\n",
+    "    \"region\": \"nh\",\n",
+    "    \"source_id\": \"DUMMY-MODEL\",\n",
+    "    \"tracking_prefix\": \"hdl:21.14107\",\n",
+    "}\n",
+    "input_json = run_dir / \"input.json\"\n",
+    "input_json.write_text(json.dumps(DATASET_INFO, indent=2, sort_keys=True))\n",
+    "\n",
+    "with xr.open_dataset(DATA_PATH, decode_times=False) as opened:\n",
+    "    source = opened.load()\n",
+    "\n",
+    "x = (source[\"xc\"].values * 1000.0).astype(\"f8\")\n",
+    "y = (source[\"yc\"].values[::-1] * 1000.0).astype(\"f8\")\n",
+    "latitude = source[\"lat\"].values[::-1, :].T.astype(\"f8\")\n",
+    "longitude = (source[\"lon\"].values[::-1, :].T % 360.0).astype(\"f8\")\n",
+    "\n",
+    "missing_value = np.float32(1.0e20)\n",
+    "ice_conc = source[\"ice_conc\"].isel(time=0).values[::-1, :].T.astype(\"f4\")\n",
+    "siconc = np.where(np.isfinite(ice_conc), ice_conc, missing_value).astype(\"f4\")[None, :, :]\n",
+    "\n",
+    "time = source[\"time\"].values.astype(\"f8\")\n",
+    "time_bnds = source[\"time_bnds\"].values.astype(\"f8\").reshape(2)\n",
+    "time_units = source[\"time\"].attrs[\"units\"]\n",
+    "\n",
+    "x_edges = np.concatenate(\n",
+    "    ([x[0] - 0.5 * (x[1] - x[0])], 0.5 * (x[:-1] + x[1:]), [x[-1] + 0.5 * (x[-1] - x[-2])])\n",
+    ")\n",
+    "y_edges = np.concatenate(\n",
+    "    ([y[0] - 0.5 * (y[1] - y[0])], 0.5 * (y[:-1] + y[1:]), [y[-1] + 0.5 * (y[-1] - y[-2])])\n",
+    ")\n",
+    "\n",
+    "mapping_attrs = source[\"Lambert_Azimuthal_Grid\"].attrs\n",
+    "crs = pyproj.CRS.from_proj4(mapping_attrs[\"proj4_string\"])\n",
+    "transformer = pyproj.Transformer.from_crs(crs, crs.geodetic_crs, always_xy=True)\n",
+    "latitude_vertices = np.empty((*latitude.shape, 4), dtype=\"f8\")\n",
+    "longitude_vertices = np.empty((*longitude.shape, 4), dtype=\"f8\")\n",
+    "for vertex, (x_vertex, y_vertex) in enumerate(\n",
+    "    [\n",
+    "        (x_edges[:-1][:, None], y_edges[:-1][None, :]),\n",
+    "        (x_edges[1:][:, None], y_edges[:-1][None, :]),\n",
+    "        (x_edges[1:][:, None], y_edges[1:][None, :]),\n",
+    "        (x_edges[:-1][:, None], y_edges[1:][None, :]),\n",
+    "    ]\n",
+    "):\n",
+    "    lon_vertex, lat_vertex = transformer.transform(x_vertex, y_vertex)\n",
+    "    latitude_vertices[:, :, vertex] = lat_vertex\n",
+    "    longitude_vertices[:, :, vertex] = lon_vertex % 360.0\n",
+    "\n",
+    "GRID_MAPPING_PARAMS = {\n",
+    "    \"latitude_of_projection_origin\": [float(mapping_attrs[\"latitude_of_projection_origin\"]), \"degrees_north\"],\n",
+    "    \"longitude_of_projection_origin\": [float(mapping_attrs[\"longitude_of_projection_origin\"]), \"degrees_east\"],\n",
+    "    \"false_easting\": [float(mapping_attrs[\"false_easting\"]), \"m\"],\n",
+    "    \"false_northing\": [float(mapping_attrs[\"false_northing\"]), \"m\"],\n",
+    "    \"semi_major_axis\": [float(mapping_attrs[\"semi_major_axis\"]), \"m\"],\n",
+    "    \"inverse_flattening\": [float(mapping_attrs[\"inverse_flattening\"]), \"\"],\n",
+    "}\n",
+    "\n",
+    "print(siconc.shape, latitude.shape, latitude_vertices.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "b7ca0a5a",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T23:55:25.785875Z",
+     "iopub.status.busy": "2026-05-29T23:55:25.785799Z",
+     "iopub.status.idle": "2026-05-29T23:55:25.921526Z",
+     "shell.execute_reply": "2026-05-29T23:55:25.921091Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "output/06_non_lat_lon_sea_ice_concentration/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/nh/mon/siconc/tavg-u-hxy-u/g999/v20260529/siconc_tavg-u-hxy-u_mon_nh_g999_DUMMY-MODEL_amip_r9i1p1f3_202002-202002.nc\n"
+     ]
+    }
+   ],
+   "source": [
+    "cmor.setup(\n",
+    "    inpath=TABLES_DIR,\n",
+    "    netcdf_file_action=cmor.CMOR_REPLACE,\n",
+    "    logfile=str(run_dir / \"cmor.log\"),\n",
+    ")\n",
+    "cmor.dataset_json(str(input_json))\n",
+    "\n",
+    "grid_table = cmor.load_table(\"CMIP7_grids.json\")\n",
+    "seaice_table = cmor.load_table(\"CMIP7_seaIce.json\")\n",
+    "\n",
+    "cmor.set_table(grid_table)\n",
+    "x_id = cmor.axis(\"x\", coord_vals=x, units=\"m\")\n",
+    "y_id = cmor.axis(\"y\", coord_vals=y, units=\"m\")\n",
+    "grid_id = cmor.grid(\n",
+    "    axis_ids=[x_id, y_id],\n",
+    "    latitude=latitude,\n",
+    "    longitude=longitude,\n",
+    "    latitude_vertices=latitude_vertices,\n",
+    "    longitude_vertices=longitude_vertices,\n",
+    ")\n",
+    "cmor.set_grid_mapping(grid_id, \"lambert_azimuthal_equal_area\", GRID_MAPPING_PARAMS)\n",
+    "\n",
+    "cmor.set_table(seaice_table)\n",
+    "time_id = cmor.axis(\"time\", coord_vals=time, cell_bounds=time_bnds, units=time_units)\n",
+    "\n",
+    "variable_name = \"siconc_tavg-u-hxy-u\"\n",
+    "siconc_id = cmor.variable(variable_name, \"%\", [time_id, grid_id], missing_value=missing_value)\n",
+    "compound_name = \".\".join([\"seaIce\"] + variable_name.split(\"_\") + [\"mon\", \"nh\"])\n",
+    "\n",
+    "with open(Path(TABLES_DIR) / \"CMIP7_cell_measures.json\") as handle:\n",
+    "    cell_measure = json.load(handle)[\"cell_measures\"].get(compound_name)\n",
+    "if cell_measure:\n",
+    "    cmor.set_variable_attribute(siconc_id, \"cell_measures\", \"c\", cell_measure)\n",
+    "\n",
+    "with open(Path(TABLES_DIR) / \"CMIP7_long_name_overrides.json\") as handle:\n",
+    "    long_name = json.load(handle)[\"long_name_overrides\"].get(compound_name)\n",
+    "if long_name:\n",
+    "    cmor.set_variable_attribute(siconc_id, \"long_name\", \"c\", long_name)\n",
+    "\n",
+    "cmor.write(siconc_id, siconc)\n",
+    "netcdf_path = Path(cmor.close(siconc_id, file_name=True))\n",
+    "cmor.close()\n",
+    "\n",
+    "print(netcdf_path.resolve().relative_to(Path.cwd().resolve()))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "c016fff2",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T23:55:25.922674Z",
+     "iopub.status.busy": "2026-05-29T23:55:25.922595Z",
+     "iopub.status.idle": "2026-05-29T23:55:25.953285Z",
+     "shell.execute_reply": "2026-05-29T23:55:25.952847Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<xarray.Dataset> Size: 16MB\n",
+      "Dimensions:                       (time: 1, bnds: 2, x: 432, y: 432, vertices: 4)\n",
+      "Coordinates:\n",
+      "  * time                          (time) float64 8B 1.539e+04\n",
+      "  * x                             (x) float64 3kB -5.388e+06 ... 5.388e+06\n",
+      "  * y                             (y) float64 3kB -5.388e+06 ... 5.388e+06\n",
+      "    latitude                      (x, y) float64 1MB 16.62 16.82 ... 16.82 16.62\n",
+      "    longitude                     (x, y) float64 1MB 315.0 314.9 ... 134.9 135.0\n",
+      "Dimensions without coordinates: bnds, vertices\n",
+      "Data variables:\n",
+      "    time_bnds                     (time, bnds) float64 16B 1.537e+04 1.54e+04\n",
+      "    lambert_azimuthal_equal_area  int32 4B -2147483647\n",
+      "    vertices_latitude             (x, y, vertices) float64 6MB 16.42 ... 16.62\n",
+      "    vertices_longitude            (x, y, vertices) float64 6MB 315.0 ... 135.1\n",
+      "    siconc                        (time, x, y) float32 746kB 0.0 0.0 ... 0.0 0.0\n",
+      "Attributes:\n",
+      "    Conventions:           CF-1.12\n",
+      "    activity_id:           CMIP\n",
+      "    area_label:            u\n",
+      "    branded_variable:      siconc_tavg-u-hxy-u\n",
+      "    branding_suffix:       tavg-u-hxy-u\n",
+      "    creation_date:         2026-05-29T23:55:25Z\n",
+      "    data_specs_version:    MIP-DS7.1.0.0\n",
+      "    description:           Simulation of the climate of the recent past with ...\n",
+      "    drs_specs:             MIP-DRS7\n",
+      "    experiment:            Simulation of the climate of the recent past with ...\n",
+      "    experiment_id:         amip\n",
+      "    forcing_index:         f3\n",
+      "    frequency:             mon\n",
+      "    grid_label:            g999\n",
+      "    history:               2026-05-29T23:55:25Z ; CMOR rewrote data to be con...\n",
+      "    horizontal_label:      hxy\n",
+      "    host_collection:       CMIP7\n",
+      "    initialization_index:  i1\n",
+      "    institution:           Environment and Climate Change Canada\n",
+      "    institution_id:        CCCma\n",
+      "    license_id:            CC-BY-4.0\n",
+      "    mip_era:               CMIP7\n",
+      "    nominal_resolution:    25 km\n",
+      "    physics_index:         p1\n",
+      "    product:               model-output\n",
+      "    realization_index:     r9\n",
+      "    realm:                 seaIce\n",
+      "    region:                nh\n",
+      "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
+      "    source_id:             DUMMY-MODEL\n",
+      "    table_info:            Name: CMIP7_seaIce.json; Creation Date:(2026-04-21...\n",
+      "    temporal_label:        tavg\n",
+      "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
+      "    tracking_id:           hdl:21.14107/0c8b9467-4dc5-4a5b-9e60-ac237f3c9076\n",
+      "    variable_id:           siconc\n",
+      "    variant_label:         r9i1p1f3\n",
+      "    vertical_label:        u\n",
+      "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+      "    cmor_version:          3.15.1\n"
+     ]
+    }
+   ],
+   "source": [
+    "with xr.open_dataset(netcdf_path, decode_times=False) as opened:\n",
+    "    ds = opened.load()\n",
+    "\n",
+    "with xr.set_options(display_expand_attrs=True, display_max_rows=90):\n",
+    "    print(ds)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "8cf16c62",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-29T23:55:25.954388Z",
+     "iopub.status.busy": "2026-05-29T23:55:25.954314Z",
+     "iopub.status.idle": "2026-05-29T23:55:26.451037Z",
+     "shell.execute_reply": "2026-05-29T23:55:26.450633Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x800 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(8, 8))\n",
+    "map_plot = Basemap(\n",
+    "    projection=\"laea\",\n",
+    "    lat_0=90,\n",
+    "    lon_0=0,\n",
+    "    width=10_800_000,\n",
+    "    height=10_800_000,\n",
+    "    resolution=\"l\",\n",
+    "    ax=ax,\n",
+    ")\n",
+    "map_plot.drawmapboundary(fill_color=\"#f7fbff\", linewidth=0.8)\n",
+    "map_plot.fillcontinents(color=\"0.82\", lake_color=\"#f7fbff\", zorder=0)\n",
+    "longitude_plot = ds[\"longitude\"].values.T\n",
+    "latitude_plot = ds[\"latitude\"].values.T\n",
+    "field = ds[\"siconc\"].isel(time=0).values.T\n",
+    "x_plot, y_plot = map_plot(longitude_plot, latitude_plot)\n",
+    "mesh = map_plot.pcolormesh(x_plot, y_plot, field, shading=\"auto\", cmap=\"Blues\", vmin=0, vmax=100)\n",
+    "map_plot.drawcoastlines(linewidth=0.7, color=\"0.15\")\n",
+    "map_plot.drawparallels(np.arange(40, 91, 10), labels=[1, 0, 0, 0], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
+    "map_plot.drawmeridians(np.arange(-180, 181, 45), labels=[0, 0, 0, 1], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
+    "colorbar = map_plot.colorbar(mesh, location=\"right\", pad=\"5%\")\n",
+    "colorbar.set_label(\"%\")\n",
+    "ax.set_title(\"CMIP7 siconc on the NH EASE2 projected grid, February 2020\")\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/README.md b/notebooks/README.md
index 2f99012a..43ec46aa 100644
--- a/notebooks/README.md
+++ b/notebooks/README.md
@@ -7,10 +7,10 @@ These notebooks demonstrate how to use CMOR to create CMIP7 dataset files from s
 Create the notebook environment from the repository root:
 
 ```bash
-python-m venv venv
+python -m venv venv
 source venv/bin/activate
 pip install cmor --extra-index-url https://pcmdi.github.io/cmor
-pip install jupyterlab xarray matplotlib netCDF4 basemap
+pip install jupyterlab xarray matplotlib netCDF4 basemap pyproj
 ```
 
 Start JupyterLab:
@@ -28,3 +28,4 @@ The notebooks write generated NetCDF files under `notebooks/output/`.
 3. `03_pressure_level_air_temperature.ipynb`: writes air temperature (`ta_tavg-p19-hxy-air`) on the CMIP7 19 pressure levels.
 4. `04_hybrid_sigma_zfactors.ipynb`: writes air temperature (`ta_tavg-al-hxy-u`) on a hybrid sigma pressure coordinate with CMOR zfactors.
 5. `05_curvilinear_ocean_grid.ipynb`: writes sea surface temperature (`tos_tavg-u-hxy-sea`) using `cmor.grid` with two-dimensional latitude and longitude coordinates.
+6. `06_non_lat_lon_sea_ice_concentration.ipynb`: writes sea-ice area percentage (`siconc_tavg-u-hxy-u`) using the projected Northern Hemisphere EASE2 grid from `notebooks/data/ice_conc_nh_ease2-250_cdr-v3p1_202002.nc`.

From 757b9cf1681412a15fcb3f604f459116199ac4cb Mon Sep 17 00:00:00 2001
From: Chris Mauzey <mauzey1@llnl.gov>
Date: Fri, 29 May 2026 17:12:30 -0700
Subject: [PATCH 11/25] Display full dataset info of example 6

---
 ...06_non_lat_lon_sea_ice_concentration.ipynb | 887 ++++++++++++++++--
 1 file changed, 804 insertions(+), 83 deletions(-)

diff --git a/notebooks/06_non_lat_lon_sea_ice_concentration.ipynb b/notebooks/06_non_lat_lon_sea_ice_concentration.ipynb
index 345db76d..c6c4b4c0 100644
--- a/notebooks/06_non_lat_lon_sea_ice_concentration.ipynb
+++ b/notebooks/06_non_lat_lon_sea_ice_concentration.ipynb
@@ -16,10 +16,10 @@
    "id": "afaab710",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T23:55:25.148767Z",
-     "iopub.status.busy": "2026-05-29T23:55:25.148644Z",
-     "iopub.status.idle": "2026-05-29T23:55:25.653262Z",
-     "shell.execute_reply": "2026-05-29T23:55:25.652848Z"
+     "iopub.execute_input": "2026-05-30T00:10:03.810664Z",
+     "iopub.status.busy": "2026-05-30T00:10:03.810475Z",
+     "iopub.status.idle": "2026-05-30T00:10:04.304314Z",
+     "shell.execute_reply": "2026-05-30T00:10:04.303814Z"
     }
    },
    "outputs": [
@@ -43,6 +43,7 @@
     "Path(os.environ[\"XDG_CACHE_HOME\"]).mkdir(parents=True, exist_ok=True)\n",
     "\n",
     "import cmor\n",
+    "from IPython.display import display\n",
     "import matplotlib.pyplot as plt\n",
     "from mpl_toolkits.basemap import Basemap\n",
     "import numpy as np\n",
@@ -68,10 +69,10 @@
    "id": "5edce0e9",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T23:55:25.654753Z",
-     "iopub.status.busy": "2026-05-29T23:55:25.654592Z",
-     "iopub.status.idle": "2026-05-29T23:55:25.784593Z",
-     "shell.execute_reply": "2026-05-29T23:55:25.784159Z"
+     "iopub.execute_input": "2026-05-30T00:10:04.305653Z",
+     "iopub.status.busy": "2026-05-30T00:10:04.305521Z",
+     "iopub.status.idle": "2026-05-30T00:10:04.439282Z",
+     "shell.execute_reply": "2026-05-30T00:10:04.438735Z"
     }
    },
    "outputs": [
@@ -158,7 +159,7 @@
     "    latitude_vertices[:, :, vertex] = lat_vertex\n",
     "    longitude_vertices[:, :, vertex] = lon_vertex % 360.0\n",
     "\n",
-    "GRID_MAPPING_PARAMS = {\n",
+    "CRS_PARAMS = {\n",
     "    \"latitude_of_projection_origin\": [float(mapping_attrs[\"latitude_of_projection_origin\"]), \"degrees_north\"],\n",
     "    \"longitude_of_projection_origin\": [float(mapping_attrs[\"longitude_of_projection_origin\"]), \"degrees_east\"],\n",
     "    \"false_easting\": [float(mapping_attrs[\"false_easting\"]), \"m\"],\n",
@@ -176,10 +177,10 @@
    "id": "b7ca0a5a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T23:55:25.785875Z",
-     "iopub.status.busy": "2026-05-29T23:55:25.785799Z",
-     "iopub.status.idle": "2026-05-29T23:55:25.921526Z",
-     "shell.execute_reply": "2026-05-29T23:55:25.921091Z"
+     "iopub.execute_input": "2026-05-30T00:10:04.440691Z",
+     "iopub.status.busy": "2026-05-30T00:10:04.440587Z",
+     "iopub.status.idle": "2026-05-30T00:10:04.573723Z",
+     "shell.execute_reply": "2026-05-30T00:10:04.573260Z"
     }
    },
    "outputs": [
@@ -212,7 +213,7 @@
     "    latitude_vertices=latitude_vertices,\n",
     "    longitude_vertices=longitude_vertices,\n",
     ")\n",
-    "cmor.set_grid_mapping(grid_id, \"lambert_azimuthal_equal_area\", GRID_MAPPING_PARAMS)\n",
+    "cmor.set_crs(grid_id, \"lambert_azimuthal_equal_area\", CRS_PARAMS)\n",
     "\n",
     "cmor.set_table(seaice_table)\n",
     "time_id = cmor.axis(\"time\", coord_vals=time, cell_bounds=time_bnds, units=time_units)\n",
@@ -244,81 +245,801 @@
    "id": "c016fff2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T23:55:25.922674Z",
-     "iopub.status.busy": "2026-05-29T23:55:25.922595Z",
-     "iopub.status.idle": "2026-05-29T23:55:25.953285Z",
-     "shell.execute_reply": "2026-05-29T23:55:25.952847Z"
+     "iopub.execute_input": "2026-05-30T00:10:04.574969Z",
+     "iopub.status.busy": "2026-05-30T00:10:04.574885Z",
+     "iopub.status.idle": "2026-05-30T00:10:04.610947Z",
+     "shell.execute_reply": "2026-05-30T00:10:04.610519Z"
     }
    },
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<xarray.Dataset> Size: 16MB\n",
-      "Dimensions:                       (time: 1, bnds: 2, x: 432, y: 432, vertices: 4)\n",
-      "Coordinates:\n",
-      "  * time                          (time) float64 8B 1.539e+04\n",
-      "  * x                             (x) float64 3kB -5.388e+06 ... 5.388e+06\n",
-      "  * y                             (y) float64 3kB -5.388e+06 ... 5.388e+06\n",
-      "    latitude                      (x, y) float64 1MB 16.62 16.82 ... 16.82 16.62\n",
-      "    longitude                     (x, y) float64 1MB 315.0 314.9 ... 134.9 135.0\n",
-      "Dimensions without coordinates: bnds, vertices\n",
-      "Data variables:\n",
-      "    time_bnds                     (time, bnds) float64 16B 1.537e+04 1.54e+04\n",
-      "    lambert_azimuthal_equal_area  int32 4B -2147483647\n",
-      "    vertices_latitude             (x, y, vertices) float64 6MB 16.42 ... 16.62\n",
-      "    vertices_longitude            (x, y, vertices) float64 6MB 315.0 ... 135.1\n",
-      "    siconc                        (time, x, y) float32 746kB 0.0 0.0 ... 0.0 0.0\n",
-      "Attributes:\n",
-      "    Conventions:           CF-1.12\n",
-      "    activity_id:           CMIP\n",
-      "    area_label:            u\n",
-      "    branded_variable:      siconc_tavg-u-hxy-u\n",
-      "    branding_suffix:       tavg-u-hxy-u\n",
-      "    creation_date:         2026-05-29T23:55:25Z\n",
-      "    data_specs_version:    MIP-DS7.1.0.0\n",
-      "    description:           Simulation of the climate of the recent past with ...\n",
-      "    drs_specs:             MIP-DRS7\n",
-      "    experiment:            Simulation of the climate of the recent past with ...\n",
-      "    experiment_id:         amip\n",
-      "    forcing_index:         f3\n",
-      "    frequency:             mon\n",
-      "    grid_label:            g999\n",
-      "    history:               2026-05-29T23:55:25Z ; CMOR rewrote data to be con...\n",
-      "    horizontal_label:      hxy\n",
-      "    host_collection:       CMIP7\n",
-      "    initialization_index:  i1\n",
-      "    institution:           Environment and Climate Change Canada\n",
-      "    institution_id:        CCCma\n",
-      "    license_id:            CC-BY-4.0\n",
-      "    mip_era:               CMIP7\n",
-      "    nominal_resolution:    25 km\n",
-      "    physics_index:         p1\n",
-      "    product:               model-output\n",
-      "    realization_index:     r9\n",
-      "    realm:                 seaIce\n",
-      "    region:                nh\n",
-      "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
-      "    source_id:             DUMMY-MODEL\n",
-      "    table_info:            Name: CMIP7_seaIce.json; Creation Date:(2026-04-21...\n",
-      "    temporal_label:        tavg\n",
-      "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-      "    tracking_id:           hdl:21.14107/0c8b9467-4dc5-4a5b-9e60-ac237f3c9076\n",
-      "    variable_id:           siconc\n",
-      "    variant_label:         r9i1p1f3\n",
-      "    vertical_label:        u\n",
-      "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-      "    cmor_version:          3.15.1\n"
-     ]
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+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-top: 4px;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in ~ .xr-section-details {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-children {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 100%;\n",
+       "  grid-column: 1 / -1;\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 0px 30px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-vline {\n",
+       "  grid-column-start: 1;\n",
+       "  border-right: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "  width: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-hline {\n",
+       "  grid-column-start: 2;\n",
+       "  grid-row-start: 1;\n",
+       "  height: 1em;\n",
+       "  width: 26px;\n",
+       "  border-bottom: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents {\n",
+       "  grid-column-start: 3;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > label::before {\n",
+       "  content: \"📂\";\n",
+       "  padding-right: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label::before {\n",
+       "  content: \"📁\";\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label {\n",
+       "  padding-bottom: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-ellipsis {\n",
+       "  font-size: 1.4em;\n",
+       "  font-weight: 900;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  letter-spacing: 0.15em;\n",
+       "  cursor: default;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 16MB\n",
+       "Dimensions:             (time: 1, bnds: 2, x: 432, y: 432, vertices: 4)\n",
+       "Coordinates:\n",
+       "  * time                (time) float64 8B 1.539e+04\n",
+       "  * x                   (x) float64 3kB -5.388e+06 -5.362e+06 ... 5.388e+06\n",
+       "  * y                   (y) float64 3kB -5.388e+06 -5.362e+06 ... 5.388e+06\n",
+       "    latitude            (x, y) float64 1MB 16.62 16.82 17.02 ... 16.82 16.62\n",
+       "    longitude           (x, y) float64 1MB 315.0 314.9 314.7 ... 134.9 135.0\n",
+       "Dimensions without coordinates: bnds, vertices\n",
+       "Data variables:\n",
+       "    time_bnds           (time, bnds) float64 16B 1.537e+04 1.54e+04\n",
+       "    crs                 int32 4B -2147483647\n",
+       "    vertices_latitude   (x, y, vertices) float64 6MB 16.42 16.62 ... 16.42 16.62\n",
+       "    vertices_longitude  (x, y, vertices) float64 6MB 315.0 315.1 ... 135.0 135.1\n",
+       "    siconc              (time, x, y) float32 746kB 0.0 0.0 0.0 ... 0.0 0.0 0.0\n",
+       "Attributes:\n",
+       "    Conventions:           CF-1.12\n",
+       "    activity_id:           CMIP\n",
+       "    area_label:            u\n",
+       "    branded_variable:      siconc_tavg-u-hxy-u\n",
+       "    branding_suffix:       tavg-u-hxy-u\n",
+       "    creation_date:         2026-05-30T00:10:04Z\n",
+       "    data_specs_version:    MIP-DS7.1.0.0\n",
+       "    description:           Simulation of the climate of the recent past with ...\n",
+       "    drs_specs:             MIP-DRS7\n",
+       "    experiment:            Simulation of the climate of the recent past with ...\n",
+       "    experiment_id:         amip\n",
+       "    forcing_index:         f3\n",
+       "    frequency:             mon\n",
+       "    grid_label:            g999\n",
+       "    history:               2026-05-30T00:10:04Z ; CMOR rewrote data to be con...\n",
+       "    horizontal_label:      hxy\n",
+       "    host_collection:       CMIP7\n",
+       "    initialization_index:  i1\n",
+       "    institution:           Environment and Climate Change Canada\n",
+       "    institution_id:        CCCma\n",
+       "    license_id:            CC-BY-4.0\n",
+       "    mip_era:               CMIP7\n",
+       "    nominal_resolution:    25 km\n",
+       "    physics_index:         p1\n",
+       "    product:               model-output\n",
+       "    realization_index:     r9\n",
+       "    realm:                 seaIce\n",
+       "    region:                nh\n",
+       "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
+       "    source_id:             DUMMY-MODEL\n",
+       "    table_info:            Name: CMIP7_seaIce.json; Creation Date:(2026-04-21...\n",
+       "    temporal_label:        tavg\n",
+       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
+       "    tracking_id:           hdl:21.14107/8895eb06-4048-4a24-ae1e-a0b9b178a824\n",
+       "    variable_id:           siconc\n",
+       "    variant_label:         r9i1p1f3\n",
+       "    vertical_label:        u\n",
+       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0ba8daaf-bb3d-402d-a886-a08bd8307581' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-0ba8daaf-bb3d-402d-a886-a08bd8307581' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>x</span>: 432</li><li><span class='xr-has-index'>y</span>: 432</li><li><span>vertices</span>: 4</li></ul></div></li><li class='xr-section-item'><input id='section-a79d6fe2-bec9-4241-a70c-9213043858c1' class='xr-section-summary-in' type='checkbox' checked /><label for='section-a79d6fe2-bec9-4241-a70c-9213043858c1' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.539e+04</div><input id='attrs-eb66d806-463d-4511-a9e5-257d9c4ccd92' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb66d806-463d-4511-a9e5-257d9c4ccd92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-488e57af-8aed-449c-9df4-f2257ae73525' class='xr-var-data-in' type='checkbox'><label for='data-488e57af-8aed-449c-9df4-f2257ae73525' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1978-01-01</dd><dt><span>calendar :</span></dt><dd>standard</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15385.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.388e+06 -5.362e+06 ... 5.388e+06</div><input id='attrs-f9ca58de-ab4c-4142-86a9-72528574526e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9ca58de-ab4c-4142-86a9-72528574526e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ec81502-9252-4e26-b7cb-80fd65ad91a2' class='xr-var-data-in' type='checkbox'><label for='data-9ec81502-9252-4e26-b7cb-80fd65ad91a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-5387500., -5362500., -5337500., ...,  5337500.,  5362500.,  5387500.],\n",
+       "      shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.388e+06 -5.362e+06 ... 5.388e+06</div><input id='attrs-a29cc1be-1cfd-4407-8fb3-ee6952d4223e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a29cc1be-1cfd-4407-8fb3-ee6952d4223e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03dd34bb-0413-457a-bce4-da983514c64e' class='xr-var-data-in' type='checkbox'><label for='data-03dd34bb-0413-457a-bce4-da983514c64e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-5387500., -5362500., -5337500., ...,  5337500.,  5362500.,  5387500.],\n",
+       "      shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.62 16.82 17.02 ... 16.82 16.62</div><input id='attrs-70039b11-2045-48a2-8230-ea9e9ef39381' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70039b11-2045-48a2-8230-ea9e9ef39381' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f64a3bc-a7e5-4fae-bc64-2e918029aeac' class='xr-var-data-in' type='checkbox'><label for='data-5f64a3bc-a7e5-4fae-bc64-2e918029aeac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>bounds :</span></dt><dd>vertices_latitude</dd></dl></div><div class='xr-var-data'><pre>array([[16.62392616, 16.82265472, 17.02065849, ..., 17.02065849,\n",
+       "        16.82265472, 16.62392616],\n",
+       "       [16.82265472, 17.02158356, 17.21979523, ..., 17.21979523,\n",
+       "        17.02158356, 16.82265472],\n",
+       "       [17.02065849, 17.21979523, 17.41821289, ..., 17.41821289,\n",
+       "        17.21979523, 17.02065849],\n",
+       "       ...,\n",
+       "       [17.02065849, 17.21979523, 17.41821289, ..., 17.41821289,\n",
+       "        17.21979523, 17.02065849],\n",
+       "       [16.82265472, 17.02158356, 17.21979523, ..., 17.21979523,\n",
+       "        17.02158356, 16.82265472],\n",
+       "       [16.62392616, 16.82265472, 17.02065849, ..., 17.02065849,\n",
+       "        16.82265472, 16.62392616]], shape=(432, 432))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>315.0 314.9 314.7 ... 134.9 135.0</div><input id='attrs-4a619d76-76c7-4a55-a61a-3dcecdbb212e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a619d76-76c7-4a55-a61a-3dcecdbb212e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0fe6e2b-71d9-4915-9f6a-8929f936bc71' class='xr-var-data-in' type='checkbox'><label for='data-b0fe6e2b-71d9-4915-9f6a-8929f936bc71' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>bounds :</span></dt><dd>vertices_longitude</dd></dl></div><div class='xr-var-data'><pre>array([[315.        , 314.86676025, 314.73287964, ..., 225.2671051 ,\n",
+       "        225.13323975, 225.        ],\n",
+       "       [315.13323975, 315.        , 314.86611938, ..., 225.13386536,\n",
+       "        225.        , 224.86676025],\n",
+       "       [315.26712036, 315.13388062, 315.        , ..., 225.        ,\n",
+       "        224.86613464, 224.7328949 ],\n",
+       "       ...,\n",
+       "       [ 44.73288727,  44.86613083,  45.        , ..., 135.        ,\n",
+       "        135.13386536, 135.2671051 ],\n",
+       "       [ 44.86675262,  45.        ,  45.13386917, ..., 134.86613464,\n",
+       "        135.        , 135.13323975],\n",
+       "       [ 45.        ,  45.13324738,  45.26711273, ..., 134.7328949 ,\n",
+       "        134.86676025, 135.        ]], shape=(432, 432))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dca4a46c-75a0-4cc5-99a3-8027e7a6f5c3' class='xr-section-summary-in' type='checkbox' checked /><label for='section-dca4a46c-75a0-4cc5-99a3-8027e7a6f5c3' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.537e+04 1.54e+04</div><input id='attrs-18c1938d-5d1f-4920-99a9-27382301fb3f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-18c1938d-5d1f-4920-99a9-27382301fb3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-feac0c1d-bb6b-495b-838e-05cbfe5092f3' class='xr-var-data-in' type='checkbox'><label for='data-feac0c1d-bb6b-495b-838e-05cbfe5092f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[15371., 15400.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>-2147483647</div><input id='attrs-785fb374-55c3-4685-83e7-573faebf4ba3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-785fb374-55c3-4685-83e7-573faebf4ba3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3ff6e6f-acd4-4176-b68d-479710419118' class='xr-var-data-in' type='checkbox'><label for='data-a3ff6e6f-acd4-4176-b68d-479710419118' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping_name :</span></dt><dd>lambert_azimuthal_equal_area</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>90.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_latitude</span></div><div class='xr-var-dims'>(x, y, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.42 16.62 16.82 ... 16.42 16.62</div><input id='attrs-97cd5ff0-8c39-4399-bd44-533f3f01aac2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97cd5ff0-8c39-4399-bd44-533f3f01aac2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a725217-887f-4387-9d07-427a45328c97' class='xr-var-data-in' type='checkbox'><label for='data-7a725217-887f-4387-9d07-427a45328c97' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[[16.42470792, 16.62369573, 16.822885  , 16.62369573],\n",
+       "        [16.822885  , 17.02135298, 17.22002648, 17.02135298],\n",
+       "        [17.22002648, 17.41798082, 17.61614471, 17.41798082],\n",
+       "        ...,\n",
+       "        [17.61614471, 17.41798082, 17.22002648, 17.41798082],\n",
+       "        [17.22002648, 17.02135298, 16.822885  , 17.02135298],\n",
+       "        [16.822885  , 16.62369573, 16.42470792, 16.62369573]],\n",
+       "\n",
+       "       [[16.42470792, 16.62369573, 16.822885  , 16.62369573],\n",
+       "        [16.822885  , 17.02135298, 17.22002648, 17.02135298],\n",
+       "        [17.22002648, 17.41798082, 17.61614471, 17.41798082],\n",
+       "        ...,\n",
+       "        [17.61614471, 17.41798082, 17.22002648, 17.41798082],\n",
+       "        [17.22002648, 17.02135298, 16.822885  , 17.02135298],\n",
+       "        [16.822885  , 16.62369573, 16.42470792, 16.62369573]],\n",
+       "\n",
+       "       [[16.42470792, 16.62369573, 16.822885  , 16.62369573],\n",
+       "        [16.822885  , 17.02135298, 17.22002648, 17.02135298],\n",
+       "        [17.22002648, 17.41798082, 17.61614471, 17.41798082],\n",
+       "        ...,\n",
+       "...\n",
+       "        [17.61614471, 17.41798082, 17.22002648, 17.41798082],\n",
+       "        [17.22002648, 17.02135298, 16.822885  , 17.02135298],\n",
+       "        [16.822885  , 16.62369573, 16.42470792, 16.62369573]],\n",
+       "\n",
+       "       [[16.42470792, 16.62369573, 16.822885  , 16.62369573],\n",
+       "        [16.822885  , 17.02135298, 17.22002648, 17.02135298],\n",
+       "        [17.22002648, 17.41798082, 17.61614471, 17.41798082],\n",
+       "        ...,\n",
+       "        [17.61614471, 17.41798082, 17.22002648, 17.41798082],\n",
+       "        [17.22002648, 17.02135298, 16.822885  , 17.02135298],\n",
+       "        [16.822885  , 16.62369573, 16.42470792, 16.62369573]],\n",
+       "\n",
+       "       [[16.42470792, 16.62369573, 16.822885  , 16.62369573],\n",
+       "        [16.822885  , 17.02135298, 17.22002648, 17.02135298],\n",
+       "        [17.22002648, 17.41798082, 17.61614471, 17.41798082],\n",
+       "        ...,\n",
+       "        [17.61614471, 17.41798082, 17.22002648, 17.41798082],\n",
+       "        [17.22002648, 17.02135298, 16.822885  , 17.02135298],\n",
+       "        [16.822885  , 16.62369573, 16.42470792, 16.62369573]]],\n",
+       "      shape=(432, 432, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_longitude</span></div><div class='xr-var-dims'>(x, y, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>315.0 315.1 315.0 ... 135.0 135.1</div><input id='attrs-999adf75-96da-4724-968e-6b6d6d8ef74b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-999adf75-96da-4724-968e-6b6d6d8ef74b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab6be3a9-8f63-4cc2-8d19-dfa15111fbe7' class='xr-var-data-in' type='checkbox'><label for='data-ab6be3a9-8f63-4cc2-8d19-dfa15111fbe7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[[315.        , 315.1329366 , 315.        , 314.8670634 ],\n",
+       "        [315.        , 315.1329366 , 315.        , 314.8670634 ],\n",
+       "        [315.        , 315.1329366 , 315.        , 314.8670634 ],\n",
+       "        ...,\n",
+       "        [315.        , 315.1329366 , 315.        , 314.8670634 ],\n",
+       "        [315.        , 315.1329366 , 315.        , 314.8670634 ],\n",
+       "        [315.        , 315.1329366 , 315.        , 314.8670634 ]],\n",
+       "\n",
+       "       [[315.        , 315.13355635, 315.        , 314.86644365],\n",
+       "        [315.        , 315.13355635, 315.        , 314.86644365],\n",
+       "        [315.        , 315.13355635, 315.        , 314.86644365],\n",
+       "        ...,\n",
+       "        [315.        , 315.13355635, 315.        , 314.86644365],\n",
+       "        [315.        , 315.13355635, 315.        , 314.86644365],\n",
+       "        [315.        , 315.13355635, 315.        , 314.86644365]],\n",
+       "\n",
+       "       [[315.        , 315.13418191, 315.        , 314.86581809],\n",
+       "        [315.        , 315.13418191, 315.        , 314.86581809],\n",
+       "        [315.        , 315.13418191, 315.        , 314.86581809],\n",
+       "        ...,\n",
+       "...\n",
+       "        [135.        , 134.86581809, 135.        , 135.13418191],\n",
+       "        [135.        , 134.86581809, 135.        , 135.13418191],\n",
+       "        [135.        , 134.86581809, 135.        , 135.13418191]],\n",
+       "\n",
+       "       [[135.        , 134.86644365, 135.        , 135.13355635],\n",
+       "        [135.        , 134.86644365, 135.        , 135.13355635],\n",
+       "        [135.        , 134.86644365, 135.        , 135.13355635],\n",
+       "        ...,\n",
+       "        [135.        , 134.86644365, 135.        , 135.13355635],\n",
+       "        [135.        , 134.86644365, 135.        , 135.13355635],\n",
+       "        [135.        , 134.86644365, 135.        , 135.13355635]],\n",
+       "\n",
+       "       [[135.        , 134.8670634 , 135.        , 135.1329366 ],\n",
+       "        [135.        , 134.8670634 , 135.        , 135.1329366 ],\n",
+       "        [135.        , 134.8670634 , 135.        , 135.1329366 ],\n",
+       "        ...,\n",
+       "        [135.        , 134.8670634 , 135.        , 135.1329366 ],\n",
+       "        [135.        , 134.8670634 , 135.        , 135.1329366 ],\n",
+       "        [135.        , 134.8670634 , 135.        , 135.1329366 ]]],\n",
+       "      shape=(432, 432, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>siconc</span></div><div class='xr-var-dims'>(time, x, y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-daafe48d-54e9-4f8f-aa82-344b7021cf2d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-daafe48d-54e9-4f8f-aa82-344b7021cf2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c7ec8b5-fb4b-421a-829b-78fc5ae145a7' class='xr-var-data-in' type='checkbox'><label for='data-3c7ec8b5-fb4b-421a-829b-78fc5ae145a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction</dd><dt><span>long_name :</span></dt><dd>Sea-Ice Area Percentage (Ocean Grid)</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "        ...,\n",
+       "        [nan, nan, nan, ...,  0.,  0.,  0.],\n",
+       "        [nan, nan, nan, ...,  0.,  0.,  0.],\n",
+       "        [nan, nan, nan, ...,  0.,  0.,  0.]]],\n",
+       "      shape=(1, 432, 432), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9db4397a-bd7b-4f6d-8013-07cf9ca161c7' class='xr-section-summary-in' type='checkbox' checked /><label for='section-9db4397a-bd7b-4f6d-8013-07cf9ca161c7' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(39)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>siconc_tavg-u-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-30T00:10:04Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-30T00:10:04Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>25 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>seaIce</dd><dt><span>region :</span></dt><dd>nh</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_seaIce.json; Creation Date:(2026-04-21 15:01:29) MD5:ac55986d4e9ece44a638ff080fdd9ada</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/8895eb06-4048-4a24-ae1e-a0b9b178a824</dd><dt><span>variable_id :</span></dt><dd>siconc</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 16MB\n",
+       "Dimensions:             (time: 1, bnds: 2, x: 432, y: 432, vertices: 4)\n",
+       "Coordinates:\n",
+       "  * time                (time) float64 8B 1.539e+04\n",
+       "  * x                   (x) float64 3kB -5.388e+06 -5.362e+06 ... 5.388e+06\n",
+       "  * y                   (y) float64 3kB -5.388e+06 -5.362e+06 ... 5.388e+06\n",
+       "    latitude            (x, y) float64 1MB 16.62 16.82 17.02 ... 16.82 16.62\n",
+       "    longitude           (x, y) float64 1MB 315.0 314.9 314.7 ... 134.9 135.0\n",
+       "Dimensions without coordinates: bnds, vertices\n",
+       "Data variables:\n",
+       "    time_bnds           (time, bnds) float64 16B 1.537e+04 1.54e+04\n",
+       "    crs                 int32 4B -2147483647\n",
+       "    vertices_latitude   (x, y, vertices) float64 6MB 16.42 16.62 ... 16.42 16.62\n",
+       "    vertices_longitude  (x, y, vertices) float64 6MB 315.0 315.1 ... 135.0 135.1\n",
+       "    siconc              (time, x, y) float32 746kB 0.0 0.0 0.0 ... 0.0 0.0 0.0\n",
+       "Attributes:\n",
+       "    Conventions:           CF-1.12\n",
+       "    activity_id:           CMIP\n",
+       "    area_label:            u\n",
+       "    branded_variable:      siconc_tavg-u-hxy-u\n",
+       "    branding_suffix:       tavg-u-hxy-u\n",
+       "    creation_date:         2026-05-30T00:10:04Z\n",
+       "    data_specs_version:    MIP-DS7.1.0.0\n",
+       "    description:           Simulation of the climate of the recent past with ...\n",
+       "    drs_specs:             MIP-DRS7\n",
+       "    experiment:            Simulation of the climate of the recent past with ...\n",
+       "    experiment_id:         amip\n",
+       "    forcing_index:         f3\n",
+       "    frequency:             mon\n",
+       "    grid_label:            g999\n",
+       "    history:               2026-05-30T00:10:04Z ; CMOR rewrote data to be con...\n",
+       "    horizontal_label:      hxy\n",
+       "    host_collection:       CMIP7\n",
+       "    initialization_index:  i1\n",
+       "    institution:           Environment and Climate Change Canada\n",
+       "    institution_id:        CCCma\n",
+       "    license_id:            CC-BY-4.0\n",
+       "    mip_era:               CMIP7\n",
+       "    nominal_resolution:    25 km\n",
+       "    physics_index:         p1\n",
+       "    product:               model-output\n",
+       "    realization_index:     r9\n",
+       "    realm:                 seaIce\n",
+       "    region:                nh\n",
+       "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
+       "    source_id:             DUMMY-MODEL\n",
+       "    table_info:            Name: CMIP7_seaIce.json; Creation Date:(2026-04-21...\n",
+       "    temporal_label:        tavg\n",
+       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
+       "    tracking_id:           hdl:21.14107/8895eb06-4048-4a24-ae1e-a0b9b178a824\n",
+       "    variable_id:           siconc\n",
+       "    variant_label:         r9i1p1f3\n",
+       "    vertical_label:        u\n",
+       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+       "    cmor_version:          3.15.1"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
     "with xr.open_dataset(netcdf_path, decode_times=False) as opened:\n",
     "    ds = opened.load()\n",
     "\n",
-    "with xr.set_options(display_expand_attrs=True, display_max_rows=90):\n",
-    "    print(ds)"
+    "with xr.set_options(\n",
+    "    display_style=\"html\",\n",
+    "    display_expand_attrs=True,\n",
+    "    display_expand_coords=True,\n",
+    "    display_expand_data_vars=True,\n",
+    "    display_max_rows=90,\n",
+    "):\n",
+    "    display(ds)"
    ]
   },
   {
@@ -327,10 +1048,10 @@
    "id": "8cf16c62",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T23:55:25.954388Z",
-     "iopub.status.busy": "2026-05-29T23:55:25.954314Z",
-     "iopub.status.idle": "2026-05-29T23:55:26.451037Z",
-     "shell.execute_reply": "2026-05-29T23:55:26.450633Z"
+     "iopub.execute_input": "2026-05-30T00:10:04.612025Z",
+     "iopub.status.busy": "2026-05-30T00:10:04.611936Z",
+     "iopub.status.idle": "2026-05-30T00:10:05.108024Z",
+     "shell.execute_reply": "2026-05-30T00:10:05.107712Z"
     }
    },
    "outputs": [

From ce78c41f85e25343e5e823251544360baade6f0d Mon Sep 17 00:00:00 2001
From: Chris Mauzey <mauzey1@llnl.gov>
Date: Fri, 29 May 2026 17:15:53 -0700
Subject: [PATCH 12/25] Display full dataset info in example notebooks

---
 .../01_basic_ocean_surface_temperature.ipynb  | 861 ++++++++++++++--
 .../02_atmos_surface_air_temperature.ipynb    | 864 ++++++++++++++--
 .../03_pressure_level_air_temperature.ipynb   | 872 ++++++++++++++--
 notebooks/04_hybrid_sigma_zfactors.ipynb      | 922 +++++++++++++++--
 notebooks/05_curvilinear_ocean_grid.ipynb     | 960 ++++++++++++++++--
 5 files changed, 4065 insertions(+), 414 deletions(-)

diff --git a/notebooks/01_basic_ocean_surface_temperature.ipynb b/notebooks/01_basic_ocean_surface_temperature.ipynb
index 0e355ef0..141eadd4 100644
--- a/notebooks/01_basic_ocean_surface_temperature.ipynb
+++ b/notebooks/01_basic_ocean_surface_temperature.ipynb
@@ -14,10 +14,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T23:16:04.016564Z",
-     "iopub.status.busy": "2026-05-29T23:16:04.016380Z",
-     "iopub.status.idle": "2026-05-29T23:16:04.511636Z",
-     "shell.execute_reply": "2026-05-29T23:16:04.511083Z"
+     "iopub.execute_input": "2026-05-30T00:14:05.904315Z",
+     "iopub.status.busy": "2026-05-30T00:14:05.904211Z",
+     "iopub.status.idle": "2026-05-30T00:14:06.400726Z",
+     "shell.execute_reply": "2026-05-30T00:14:06.400288Z"
     }
    },
    "outputs": [
@@ -35,6 +35,7 @@
     "import shutil\n",
     "\n",
     "import cmor\n",
+    "from IPython.display import display\n",
     "import matplotlib.pyplot as plt\n",
     "from mpl_toolkits.basemap import Basemap\n",
     "import numpy as np\n",
@@ -55,10 +56,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T23:16:04.526031Z",
-     "iopub.status.busy": "2026-05-29T23:16:04.525866Z",
-     "iopub.status.idle": "2026-05-29T23:16:04.531617Z",
-     "shell.execute_reply": "2026-05-29T23:16:04.531141Z"
+     "iopub.execute_input": "2026-05-30T00:14:06.415901Z",
+     "iopub.status.busy": "2026-05-30T00:14:06.415717Z",
+     "iopub.status.idle": "2026-05-30T00:14:06.421133Z",
+     "shell.execute_reply": "2026-05-30T00:14:06.420825Z"
     }
    },
    "outputs": [
@@ -126,10 +127,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T23:16:04.532783Z",
-     "iopub.status.busy": "2026-05-29T23:16:04.532700Z",
-     "iopub.status.idle": "2026-05-29T23:16:04.601336Z",
-     "shell.execute_reply": "2026-05-29T23:16:04.600931Z"
+     "iopub.execute_input": "2026-05-30T00:14:06.422500Z",
+     "iopub.status.busy": "2026-05-30T00:14:06.422423Z",
+     "iopub.status.idle": "2026-05-30T00:14:06.489085Z",
+     "shell.execute_reply": "2026-05-30T00:14:06.488638Z"
     }
    },
    "outputs": [
@@ -180,79 +181,781 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T23:16:04.602489Z",
-     "iopub.status.busy": "2026-05-29T23:16:04.602414Z",
-     "iopub.status.idle": "2026-05-29T23:16:04.714298Z",
-     "shell.execute_reply": "2026-05-29T23:16:04.713918Z"
+     "iopub.execute_input": "2026-05-30T00:14:06.490233Z",
+     "iopub.status.busy": "2026-05-30T00:14:06.490150Z",
+     "iopub.status.idle": "2026-05-30T00:14:06.607376Z",
+     "shell.execute_reply": "2026-05-30T00:14:06.606950Z"
     }
    },
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<xarray.Dataset> Size: 9kB\n",
-      "Dimensions:    (time: 3, bnds: 2, lat: 18, lon: 36)\n",
-      "Coordinates:\n",
-      "  * time       (time) float64 24B 15.0 45.0 75.0\n",
-      "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
-      "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
-      "Dimensions without coordinates: bnds\n",
-      "Data variables:\n",
-      "    time_bnds  (time, bnds) float64 48B 0.0 30.0 30.0 60.0 60.0 90.0\n",
-      "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
-      "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
-      "    tos        (time, lat, lon) float32 8kB -8.316 -8.361 ... -8.761 -8.716\n",
-      "Attributes:\n",
-      "    Conventions:           CF-1.12\n",
-      "    activity_id:           CMIP\n",
-      "    area_label:            sea\n",
-      "    branded_variable:      tos_tavg-u-hxy-sea\n",
-      "    branding_suffix:       tavg-u-hxy-sea\n",
-      "    creation_date:         2026-05-29T23:16:04Z\n",
-      "    data_specs_version:    MIP-DS7.1.0.0\n",
-      "    description:           Simulation of the climate of the recent past with ...\n",
-      "    drs_specs:             MIP-DRS7\n",
-      "    experiment:            Simulation of the climate of the recent past with ...\n",
-      "    experiment_id:         amip\n",
-      "    external_variables:    areacello\n",
-      "    forcing_index:         f3\n",
-      "    frequency:             mon\n",
-      "    grid_label:            g999\n",
-      "    history:               2026-05-29T23:16:04Z ; CMOR rewrote data to be con...\n",
-      "    horizontal_label:      hxy\n",
-      "    host_collection:       CMIP7\n",
-      "    initialization_index:  i1\n",
-      "    institution:           Environment and Climate Change Canada\n",
-      "    institution_id:        CCCma\n",
-      "    license_id:            CC-BY-4.0\n",
-      "    mip_era:               CMIP7\n",
-      "    nominal_resolution:    100 km\n",
-      "    physics_index:         p1\n",
-      "    product:               model-output\n",
-      "    realization_index:     r9\n",
-      "    realm:                 ocean\n",
-      "    region:                glb\n",
-      "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
-      "    source_id:             DUMMY-MODEL\n",
-      "    table_info:            Name: CMIP7_ocean.json; Creation Date:(2026-04-21 ...\n",
-      "    temporal_label:        tavg\n",
-      "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-      "    tracking_id:           hdl:21.14107/19e11db6-e3cd-4bbe-8fe0-ee49e40bdf81\n",
-      "    variable_id:           tos\n",
-      "    variant_label:         r9i1p1f3\n",
-      "    vertical_label:        u\n",
-      "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-      "    cmor_version:          3.15.1\n"
-     ]
+     "data": {
+      "text/html": [
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+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
+       "\n",
+       ":root {\n",
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+       "  );\n",
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+       "    --jp-layout-color3,\n",
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+       "  );\n",
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+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, white)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+       "  );\n",
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+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
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+       "body[data-theme=\"dark\"],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
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+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
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+       "\n",
+       ".xr-text-repr-fallback {\n",
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+       "  display: none;\n",
+       "}\n",
+       "\n",
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+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "  margin-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-obj-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-group-box-contents > label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "  margin-block-start: 0;\n",
+       "  margin-block-end: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input,\n",
+       ".xr-group-box-contents > input,\n",
+       ".xr-array-wrap > input {\n",
+       "  display: block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input + label,\n",
+       ".xr-var-item > input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label,\n",
+       ".xr-var-item > input:enabled + label,\n",
+       ".xr-array-wrap > input:enabled + label,\n",
+       ".xr-group-box-contents > input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:focus-visible + label,\n",
+       ".xr-var-item > input:focus-visible + label,\n",
+       ".xr-array-wrap > input:focus-visible + label,\n",
+       ".xr-group-box-contents > input:focus-visible + label {\n",
+       "  outline: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label:hover,\n",
+       ".xr-var-item > input:enabled + label:hover,\n",
+       ".xr-array-wrap > input:enabled + label:hover,\n",
+       ".xr-group-box-contents > input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "  white-space: nowrap;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > em {\n",
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+       "  padding-left: 0.6em;\n",
+       "}\n",
+       "\n",
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+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details,\n",
+       ".xr-group-box-contents > label {\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-top: 4px;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in ~ .xr-section-details {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-children {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 100%;\n",
+       "  grid-column: 1 / -1;\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 0px 30px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-vline {\n",
+       "  grid-column-start: 1;\n",
+       "  border-right: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "  width: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-hline {\n",
+       "  grid-column-start: 2;\n",
+       "  grid-row-start: 1;\n",
+       "  height: 1em;\n",
+       "  width: 26px;\n",
+       "  border-bottom: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents {\n",
+       "  grid-column-start: 3;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > label::before {\n",
+       "  content: \"📂\";\n",
+       "  padding-right: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label::before {\n",
+       "  content: \"📁\";\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label {\n",
+       "  padding-bottom: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-ellipsis {\n",
+       "  font-size: 1.4em;\n",
+       "  font-weight: 900;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  letter-spacing: 0.15em;\n",
+       "  cursor: default;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 9kB\n",
+       "Dimensions:    (time: 3, bnds: 2, lat: 18, lon: 36)\n",
+       "Coordinates:\n",
+       "  * time       (time) float64 24B 15.0 45.0 75.0\n",
+       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
+       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) float64 48B 0.0 30.0 30.0 60.0 60.0 90.0\n",
+       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
+       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
+       "    tos        (time, lat, lon) float32 8kB -8.316 -8.361 ... -8.761 -8.716\n",
+       "Attributes:\n",
+       "    Conventions:           CF-1.12\n",
+       "    activity_id:           CMIP\n",
+       "    area_label:            sea\n",
+       "    branded_variable:      tos_tavg-u-hxy-sea\n",
+       "    branding_suffix:       tavg-u-hxy-sea\n",
+       "    creation_date:         2026-05-30T00:14:06Z\n",
+       "    data_specs_version:    MIP-DS7.1.0.0\n",
+       "    description:           Simulation of the climate of the recent past with ...\n",
+       "    drs_specs:             MIP-DRS7\n",
+       "    experiment:            Simulation of the climate of the recent past with ...\n",
+       "    experiment_id:         amip\n",
+       "    external_variables:    areacello\n",
+       "    forcing_index:         f3\n",
+       "    frequency:             mon\n",
+       "    grid_label:            g999\n",
+       "    history:               2026-05-30T00:14:06Z ; CMOR rewrote data to be con...\n",
+       "    horizontal_label:      hxy\n",
+       "    host_collection:       CMIP7\n",
+       "    initialization_index:  i1\n",
+       "    institution:           Environment and Climate Change Canada\n",
+       "    institution_id:        CCCma\n",
+       "    license_id:            CC-BY-4.0\n",
+       "    mip_era:               CMIP7\n",
+       "    nominal_resolution:    100 km\n",
+       "    physics_index:         p1\n",
+       "    product:               model-output\n",
+       "    realization_index:     r9\n",
+       "    realm:                 ocean\n",
+       "    region:                glb\n",
+       "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
+       "    source_id:             DUMMY-MODEL\n",
+       "    table_info:            Name: CMIP7_ocean.json; Creation Date:(2026-04-21 ...\n",
+       "    temporal_label:        tavg\n",
+       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
+       "    tracking_id:           hdl:21.14107/8d75b4c6-17c8-4cc2-b1d3-7b62ab3ef63e\n",
+       "    variable_id:           tos\n",
+       "    variant_label:         r9i1p1f3\n",
+       "    vertical_label:        u\n",
+       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8e6bc231-7253-4a9d-b67e-0c15f9fb661e' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-8e6bc231-7253-4a9d-b67e-0c15f9fb661e' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 3</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div></li><li class='xr-section-item'><input id='section-57fd0fb4-800e-445a-9a0a-aa5f1cf8757e' class='xr-section-summary-in' type='checkbox' checked /><label for='section-57fd0fb4-800e-445a-9a0a-aa5f1cf8757e' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0 75.0</div><input id='attrs-75b248e2-5f96-41ac-bae7-ec1b54506bb8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-75b248e2-5f96-41ac-bae7-ec1b54506bb8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a712188-5cdb-4180-a04a-a0643dc33cf9' class='xr-var-data-in' type='checkbox'><label for='data-7a712188-5cdb-4180-a04a-a0643dc33cf9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45., 75.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-357570cd-9010-4fbc-aaea-26533bd0348c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-357570cd-9010-4fbc-aaea-26533bd0348c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4fe8e7a6-55d3-47f4-9c7a-e522af941b8d' class='xr-var-data-in' type='checkbox'><label for='data-4fe8e7a6-55d3-47f4-9c7a-e522af941b8d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
+       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-3fefcd3b-9c98-4ff8-b81b-7cfa7624b31d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fefcd3b-9c98-4ff8-b81b-7cfa7624b31d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-910b8651-7bd4-449a-89bb-38ff122766a4' class='xr-var-data-in' type='checkbox'><label for='data-910b8651-7bd4-449a-89bb-38ff122766a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
+       "       125., 135., 145., 155., 165., 175., 185., 195., 205., 215., 225., 235.,\n",
+       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a3b99e4f-7fce-42a3-afe9-34889f25c5b0' class='xr-section-summary-in' type='checkbox' checked /><label for='section-a3b99e4f-7fce-42a3-afe9-34889f25c5b0' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0 60.0 90.0</div><input id='attrs-9bd31ce0-dcb3-486e-9a9f-0eb10e517c55' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9bd31ce0-dcb3-486e-9a9f-0eb10e517c55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-652b64ff-263e-463f-9842-9f4925f3a074' class='xr-var-data-in' type='checkbox'><label for='data-652b64ff-263e-463f-9842-9f4925f3a074' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
+       "       [30., 60.],\n",
+       "       [60., 90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-a4fbbb37-d065-4147-85a5-0e9093647c12' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a4fbbb37-d065-4147-85a5-0e9093647c12' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86f1df0d-591d-4049-b978-1eec75cd382e' class='xr-var-data-in' type='checkbox'><label for='data-86f1df0d-591d-4049-b978-1eec75cd382e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
+       "       [-80., -70.],\n",
+       "       [-70., -60.],\n",
+       "       [-60., -50.],\n",
+       "       [-50., -40.],\n",
+       "       [-40., -30.],\n",
+       "       [-30., -20.],\n",
+       "       [-20., -10.],\n",
+       "       [-10.,   0.],\n",
+       "       [  0.,  10.],\n",
+       "       [ 10.,  20.],\n",
+       "       [ 20.,  30.],\n",
+       "       [ 30.,  40.],\n",
+       "       [ 40.,  50.],\n",
+       "       [ 50.,  60.],\n",
+       "       [ 60.,  70.],\n",
+       "       [ 70.,  80.],\n",
+       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-1af4a50c-84bc-46d3-a8f6-c6714b0e7780' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1af4a50c-84bc-46d3-a8f6-c6714b0e7780' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7dc886d4-4521-4ff4-9ab0-7be1b55103f9' class='xr-var-data-in' type='checkbox'><label for='data-7dc886d4-4521-4ff4-9ab0-7be1b55103f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
+       "       [ 10.,  20.],\n",
+       "       [ 20.,  30.],\n",
+       "       [ 30.,  40.],\n",
+       "       [ 40.,  50.],\n",
+       "       [ 50.,  60.],\n",
+       "       [ 60.,  70.],\n",
+       "       [ 70.,  80.],\n",
+       "       [ 80.,  90.],\n",
+       "       [ 90., 100.],\n",
+       "       [100., 110.],\n",
+       "       [110., 120.],\n",
+       "       [120., 130.],\n",
+       "       [130., 140.],\n",
+       "       [140., 150.],\n",
+       "       [150., 160.],\n",
+       "       [160., 170.],\n",
+       "       [170., 180.],\n",
+       "       [180., 190.],\n",
+       "       [190., 200.],\n",
+       "       [200., 210.],\n",
+       "       [210., 220.],\n",
+       "       [220., 230.],\n",
+       "       [230., 240.],\n",
+       "       [240., 250.],\n",
+       "       [250., 260.],\n",
+       "       [260., 270.],\n",
+       "       [270., 280.],\n",
+       "       [280., 290.],\n",
+       "       [290., 300.],\n",
+       "       [300., 310.],\n",
+       "       [310., 320.],\n",
+       "       [320., 330.],\n",
+       "       [330., 340.],\n",
+       "       [340., 350.],\n",
+       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-8.316 -8.361 ... -8.761 -8.716</div><input id='attrs-c705929b-c5ad-4ca7-a6a1-1c5042812869' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c705929b-c5ad-4ca7-a6a1-1c5042812869' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f68e55e7-81b5-46f2-ba4c-754f76f92a5a' class='xr-var-data-in' type='checkbox'><label for='data-f68e55e7-81b5-46f2-ba4c-754f76f92a5a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd></dl></div><div class='xr-var-data'><pre>array([[[-8.3158045, -8.361208 , -8.450635 , ..., -8.450635 ,\n",
+       "         -8.361208 , -8.3158045],\n",
+       "        [-6.8310256, -6.8764286, -6.965856 , ..., -6.965856 ,\n",
+       "         -6.8764286, -6.8310256],\n",
+       "        [-4.040553 , -4.0859566, -4.1753836, ..., -4.1753836,\n",
+       "         -4.0859566, -4.040553 ],\n",
+       "        ...,\n",
+       "        [-4.040553 , -4.0859566, -4.1753836, ..., -4.1753836,\n",
+       "         -4.0859566, -4.040553 ],\n",
+       "        [-6.8310256, -6.8764286, -6.965856 , ..., -6.965856 ,\n",
+       "         -6.8764286, -6.8310256],\n",
+       "        [-8.3158045, -8.361208 , -8.450635 , ..., -8.450635 ,\n",
+       "         -8.361208 , -8.3158045]],\n",
+       "\n",
+       "       [[-7.515805 , -7.5612082, -7.6506352, ..., -7.6506352,\n",
+       "         -7.5612082, -7.515805 ],\n",
+       "        [-6.0310254, -6.076429 , -6.165856 , ..., -6.165856 ,\n",
+       "         -6.076429 , -6.0310254],\n",
+       "        [-3.2405531, -3.2859564, -3.3753834, ..., -3.3753834,\n",
+       "         -3.2859564, -3.2405531],\n",
+       "...\n",
+       "        [-3.2405531, -3.2859564, -3.3753834, ..., -3.3753834,\n",
+       "         -3.2859564, -3.2405531],\n",
+       "        [-6.0310254, -6.076429 , -6.165856 , ..., -6.165856 ,\n",
+       "         -6.076429 , -6.0310254],\n",
+       "        [-7.515805 , -7.5612082, -7.6506352, ..., -7.6506352,\n",
+       "         -7.5612082, -7.515805 ]],\n",
+       "\n",
+       "       [[-8.715805 , -8.761209 , -8.850636 , ..., -8.850636 ,\n",
+       "         -8.761209 , -8.715805 ],\n",
+       "        [-7.2310257, -7.2764287, -7.3658557, ..., -7.3658557,\n",
+       "         -7.2764287, -7.2310257],\n",
+       "        [-4.440553 , -4.485956 , -4.5753837, ..., -4.5753837,\n",
+       "         -4.485956 , -4.440553 ],\n",
+       "        ...,\n",
+       "        [-4.440553 , -4.485956 , -4.5753837, ..., -4.5753837,\n",
+       "         -4.485956 , -4.440553 ],\n",
+       "        [-7.2310257, -7.2764287, -7.3658557, ..., -7.3658557,\n",
+       "         -7.2764287, -7.2310257],\n",
+       "        [-8.715805 , -8.761209 , -8.850636 , ..., -8.850636 ,\n",
+       "         -8.761209 , -8.715805 ]]], shape=(3, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7b05e00f-91cd-40c4-9df3-e3eed9910b56' class='xr-section-summary-in' type='checkbox' checked /><label for='section-7b05e00f-91cd-40c4-9df3-e3eed9910b56' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>tos_tavg-u-hxy-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-sea</dd><dt><span>creation_date :</span></dt><dd>2026-05-30T00:14:06Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacello</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-30T00:14:06Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/8d75b4c6-17c8-4cc2-b1d3-7b62ab3ef63e</dd><dt><span>variable_id :</span></dt><dd>tos</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 9kB\n",
+       "Dimensions:    (time: 3, bnds: 2, lat: 18, lon: 36)\n",
+       "Coordinates:\n",
+       "  * time       (time) float64 24B 15.0 45.0 75.0\n",
+       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
+       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) float64 48B 0.0 30.0 30.0 60.0 60.0 90.0\n",
+       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
+       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
+       "    tos        (time, lat, lon) float32 8kB -8.316 -8.361 ... -8.761 -8.716\n",
+       "Attributes:\n",
+       "    Conventions:           CF-1.12\n",
+       "    activity_id:           CMIP\n",
+       "    area_label:            sea\n",
+       "    branded_variable:      tos_tavg-u-hxy-sea\n",
+       "    branding_suffix:       tavg-u-hxy-sea\n",
+       "    creation_date:         2026-05-30T00:14:06Z\n",
+       "    data_specs_version:    MIP-DS7.1.0.0\n",
+       "    description:           Simulation of the climate of the recent past with ...\n",
+       "    drs_specs:             MIP-DRS7\n",
+       "    experiment:            Simulation of the climate of the recent past with ...\n",
+       "    experiment_id:         amip\n",
+       "    external_variables:    areacello\n",
+       "    forcing_index:         f3\n",
+       "    frequency:             mon\n",
+       "    grid_label:            g999\n",
+       "    history:               2026-05-30T00:14:06Z ; CMOR rewrote data to be con...\n",
+       "    horizontal_label:      hxy\n",
+       "    host_collection:       CMIP7\n",
+       "    initialization_index:  i1\n",
+       "    institution:           Environment and Climate Change Canada\n",
+       "    institution_id:        CCCma\n",
+       "    license_id:            CC-BY-4.0\n",
+       "    mip_era:               CMIP7\n",
+       "    nominal_resolution:    100 km\n",
+       "    physics_index:         p1\n",
+       "    product:               model-output\n",
+       "    realization_index:     r9\n",
+       "    realm:                 ocean\n",
+       "    region:                glb\n",
+       "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
+       "    source_id:             DUMMY-MODEL\n",
+       "    table_info:            Name: CMIP7_ocean.json; Creation Date:(2026-04-21 ...\n",
+       "    temporal_label:        tavg\n",
+       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
+       "    tracking_id:           hdl:21.14107/8d75b4c6-17c8-4cc2-b1d3-7b62ab3ef63e\n",
+       "    variable_id:           tos\n",
+       "    variant_label:         r9i1p1f3\n",
+       "    vertical_label:        u\n",
+       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+       "    cmor_version:          3.15.1"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
     "with xr.open_dataset(netcdf_path, decode_times=False) as opened:\n",
     "    ds = opened.load()\n",
     "\n",
-    "with xr.set_options(display_expand_attrs=True, display_max_rows=80):\n",
-    "    print(ds)\n"
+    "with xr.set_options(\n",
+    "    display_style=\"html\",\n",
+    "    display_expand_attrs=True,\n",
+    "    display_expand_coords=True,\n",
+    "    display_expand_data_vars=True,\n",
+    "    display_max_rows=80,\n",
+    "):\n",
+    "    display(ds)"
    ]
   },
   {
@@ -260,10 +963,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T23:16:04.715656Z",
-     "iopub.status.busy": "2026-05-29T23:16:04.715588Z",
-     "iopub.status.idle": "2026-05-29T23:16:04.850135Z",
-     "shell.execute_reply": "2026-05-29T23:16:04.849701Z"
+     "iopub.execute_input": "2026-05-30T00:14:06.608632Z",
+     "iopub.status.busy": "2026-05-30T00:14:06.608545Z",
+     "iopub.status.idle": "2026-05-30T00:14:06.745604Z",
+     "shell.execute_reply": "2026-05-30T00:14:06.745200Z"
     }
    },
    "outputs": [
diff --git a/notebooks/02_atmos_surface_air_temperature.ipynb b/notebooks/02_atmos_surface_air_temperature.ipynb
index 94bbb8e5..5319adde 100644
--- a/notebooks/02_atmos_surface_air_temperature.ipynb
+++ b/notebooks/02_atmos_surface_air_temperature.ipynb
@@ -14,10 +14,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T23:16:05.718971Z",
-     "iopub.status.busy": "2026-05-29T23:16:05.718821Z",
-     "iopub.status.idle": "2026-05-29T23:16:06.220313Z",
-     "shell.execute_reply": "2026-05-29T23:16:06.219854Z"
+     "iopub.execute_input": "2026-05-30T00:14:07.608494Z",
+     "iopub.status.busy": "2026-05-30T00:14:07.608413Z",
+     "iopub.status.idle": "2026-05-30T00:14:08.075501Z",
+     "shell.execute_reply": "2026-05-30T00:14:08.075125Z"
     }
    },
    "outputs": [
@@ -35,6 +35,7 @@
     "import shutil\n",
     "\n",
     "import cmor\n",
+    "from IPython.display import display\n",
     "import matplotlib.pyplot as plt\n",
     "from mpl_toolkits.basemap import Basemap\n",
     "import numpy as np\n",
@@ -55,10 +56,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T23:16:06.221578Z",
-     "iopub.status.busy": "2026-05-29T23:16:06.221455Z",
-     "iopub.status.idle": "2026-05-29T23:16:06.226458Z",
-     "shell.execute_reply": "2026-05-29T23:16:06.226089Z"
+     "iopub.execute_input": "2026-05-30T00:14:08.076842Z",
+     "iopub.status.busy": "2026-05-30T00:14:08.076726Z",
+     "iopub.status.idle": "2026-05-30T00:14:08.081631Z",
+     "shell.execute_reply": "2026-05-30T00:14:08.081251Z"
     }
    },
    "outputs": [
@@ -126,10 +127,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T23:16:06.227669Z",
-     "iopub.status.busy": "2026-05-29T23:16:06.227594Z",
-     "iopub.status.idle": "2026-05-29T23:16:06.298832Z",
-     "shell.execute_reply": "2026-05-29T23:16:06.298419Z"
+     "iopub.execute_input": "2026-05-30T00:14:08.082730Z",
+     "iopub.status.busy": "2026-05-30T00:14:08.082655Z",
+     "iopub.status.idle": "2026-05-30T00:14:08.155924Z",
+     "shell.execute_reply": "2026-05-30T00:14:08.155552Z"
     }
    },
    "outputs": [
@@ -181,80 +182,783 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T23:16:06.299924Z",
-     "iopub.status.busy": "2026-05-29T23:16:06.299849Z",
-     "iopub.status.idle": "2026-05-29T23:16:06.422994Z",
-     "shell.execute_reply": "2026-05-29T23:16:06.422527Z"
+     "iopub.execute_input": "2026-05-30T00:14:08.157165Z",
+     "iopub.status.busy": "2026-05-30T00:14:08.157094Z",
+     "iopub.status.idle": "2026-05-30T00:14:08.280673Z",
+     "shell.execute_reply": "2026-05-30T00:14:08.280128Z"
     }
    },
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<xarray.Dataset> Size: 9kB\n",
-      "Dimensions:    (time: 3, bnds: 2, lat: 18, lon: 36)\n",
-      "Coordinates:\n",
-      "  * time       (time) float64 24B 15.0 45.0 75.0\n",
-      "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
-      "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
-      "    height     float64 8B 2.0\n",
-      "Dimensions without coordinates: bnds\n",
-      "Data variables:\n",
-      "    time_bnds  (time, bnds) float64 48B 0.0 30.0 30.0 60.0 60.0 90.0\n",
-      "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
-      "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
-      "    tas        (time, lat, lon) float32 8kB 240.3 240.3 240.2 ... 248.3 248.3\n",
-      "Attributes:\n",
-      "    Conventions:           CF-1.12\n",
-      "    activity_id:           CMIP\n",
-      "    area_label:            u\n",
-      "    branded_variable:      tas_tavg-h2m-hxy-u\n",
-      "    branding_suffix:       tavg-h2m-hxy-u\n",
-      "    creation_date:         2026-05-29T23:16:06Z\n",
-      "    data_specs_version:    MIP-DS7.1.0.0\n",
-      "    description:           Simulation of the climate of the recent past with ...\n",
-      "    drs_specs:             MIP-DRS7\n",
-      "    experiment:            Simulation of the climate of the recent past with ...\n",
-      "    experiment_id:         amip\n",
-      "    external_variables:    areacella\n",
-      "    forcing_index:         f3\n",
-      "    frequency:             mon\n",
-      "    grid_label:            g999\n",
-      "    history:               2026-05-29T23:16:06Z ; CMOR rewrote data to be con...\n",
-      "    horizontal_label:      hxy\n",
-      "    host_collection:       CMIP7\n",
-      "    initialization_index:  i1\n",
-      "    institution:           Environment and Climate Change Canada\n",
-      "    institution_id:        CCCma\n",
-      "    license_id:            CC-BY-4.0\n",
-      "    mip_era:               CMIP7\n",
-      "    nominal_resolution:    100 km\n",
-      "    physics_index:         p1\n",
-      "    product:               model-output\n",
-      "    realization_index:     r9\n",
-      "    realm:                 atmos\n",
-      "    region:                glb\n",
-      "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
-      "    source_id:             DUMMY-MODEL\n",
-      "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
-      "    temporal_label:        tavg\n",
-      "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-      "    tracking_id:           hdl:21.14107/430caf1c-3c65-41c1-bc46-98bc26ff0a8e\n",
-      "    variable_id:           tas\n",
-      "    variant_label:         r9i1p1f3\n",
-      "    vertical_label:        h2m\n",
-      "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-      "    cmor_version:          3.15.1\n"
-     ]
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+       "\n",
+       ".xr-text-repr-fallback {\n",
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+       "  display: none;\n",
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+       "\n",
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+       "\n",
+       ".xr-header {\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "  margin-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-obj-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-group-box-contents > label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "  display: block;\n",
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+       "\n",
+       ".xr-sections {\n",
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+       "\n",
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+       "  display: contents;\n",
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+       "\n",
+       ".xr-section-item > input,\n",
+       ".xr-group-box-contents > input,\n",
+       ".xr-array-wrap > input {\n",
+       "  display: block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input + label,\n",
+       ".xr-var-item > input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label,\n",
+       ".xr-var-item > input:enabled + label,\n",
+       ".xr-array-wrap > input:enabled + label,\n",
+       ".xr-group-box-contents > input:enabled + label {\n",
+       "  cursor: pointer;\n",
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+       "}\n",
+       "\n",
+       ".xr-section-item > input:focus-visible + label,\n",
+       ".xr-var-item > input:focus-visible + label,\n",
+       ".xr-array-wrap > input:focus-visible + label,\n",
+       ".xr-group-box-contents > input:focus-visible + label {\n",
+       "  outline: auto;\n",
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+       "\n",
+       ".xr-section-item > input:enabled + label:hover,\n",
+       ".xr-var-item > input:enabled + label:hover,\n",
+       ".xr-array-wrap > input:enabled + label:hover,\n",
+       ".xr-group-box-contents > input:enabled + label:hover {\n",
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+       "\n",
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+       "  display: none;\n",
+       "}\n",
+       "\n",
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+       ".xr-section-inline-details,\n",
+       ".xr-group-box-contents > label {\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
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+       "  grid-column: 2 / -1;\n",
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+       "\n",
+       ".xr-section-details {\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-top: 4px;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in ~ .xr-section-details {\n",
+       "  display: none;\n",
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+       "\n",
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+       "\n",
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+       "  grid-column: 1 / -1;\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 0px 30px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-vline {\n",
+       "  grid-column-start: 1;\n",
+       "  border-right: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "  width: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-hline {\n",
+       "  grid-column-start: 2;\n",
+       "  grid-row-start: 1;\n",
+       "  height: 1em;\n",
+       "  width: 26px;\n",
+       "  border-bottom: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents {\n",
+       "  grid-column-start: 3;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > label::before {\n",
+       "  content: \"📂\";\n",
+       "  padding-right: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label::before {\n",
+       "  content: \"📁\";\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label {\n",
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+       "\n",
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+       "  font-size: 1.4em;\n",
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+       "  color: var(--xr-font-color2);\n",
+       "  letter-spacing: 0.15em;\n",
+       "  cursor: default;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
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+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
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+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
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+       "\n",
+       ".xr-dim-list li {\n",
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+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
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+       ".xr-dim-list li:not(:last-child):after {\n",
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+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
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+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
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+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 9kB\n",
+       "Dimensions:    (time: 3, bnds: 2, lat: 18, lon: 36)\n",
+       "Coordinates:\n",
+       "  * time       (time) float64 24B 15.0 45.0 75.0\n",
+       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
+       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
+       "    height     float64 8B 2.0\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) float64 48B 0.0 30.0 30.0 60.0 60.0 90.0\n",
+       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
+       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
+       "    tas        (time, lat, lon) float32 8kB 240.3 240.3 240.2 ... 248.3 248.3\n",
+       "Attributes:\n",
+       "    Conventions:           CF-1.12\n",
+       "    activity_id:           CMIP\n",
+       "    area_label:            u\n",
+       "    branded_variable:      tas_tavg-h2m-hxy-u\n",
+       "    branding_suffix:       tavg-h2m-hxy-u\n",
+       "    creation_date:         2026-05-30T00:14:08Z\n",
+       "    data_specs_version:    MIP-DS7.1.0.0\n",
+       "    description:           Simulation of the climate of the recent past with ...\n",
+       "    drs_specs:             MIP-DRS7\n",
+       "    experiment:            Simulation of the climate of the recent past with ...\n",
+       "    experiment_id:         amip\n",
+       "    external_variables:    areacella\n",
+       "    forcing_index:         f3\n",
+       "    frequency:             mon\n",
+       "    grid_label:            g999\n",
+       "    history:               2026-05-30T00:14:08Z ; CMOR rewrote data to be con...\n",
+       "    horizontal_label:      hxy\n",
+       "    host_collection:       CMIP7\n",
+       "    initialization_index:  i1\n",
+       "    institution:           Environment and Climate Change Canada\n",
+       "    institution_id:        CCCma\n",
+       "    license_id:            CC-BY-4.0\n",
+       "    mip_era:               CMIP7\n",
+       "    nominal_resolution:    100 km\n",
+       "    physics_index:         p1\n",
+       "    product:               model-output\n",
+       "    realization_index:     r9\n",
+       "    realm:                 atmos\n",
+       "    region:                glb\n",
+       "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
+       "    source_id:             DUMMY-MODEL\n",
+       "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
+       "    temporal_label:        tavg\n",
+       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
+       "    tracking_id:           hdl:21.14107/ce506b60-0ff6-4aee-aa8b-6e9a4130f68f\n",
+       "    variable_id:           tas\n",
+       "    variant_label:         r9i1p1f3\n",
+       "    vertical_label:        h2m\n",
+       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-942fb64b-d991-443a-a6ab-a7ac79cfc38c' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-942fb64b-d991-443a-a6ab-a7ac79cfc38c' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 3</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div></li><li class='xr-section-item'><input id='section-a11df87d-68e7-44ae-bda2-dcca4de6bf32' class='xr-section-summary-in' type='checkbox' checked /><label for='section-a11df87d-68e7-44ae-bda2-dcca4de6bf32' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0 75.0</div><input id='attrs-e7597908-9ea3-434e-9e2c-3576761ef3e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7597908-9ea3-434e-9e2c-3576761ef3e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89653f16-af45-410c-b618-ab3a98c6de6c' class='xr-var-data-in' type='checkbox'><label for='data-89653f16-af45-410c-b618-ab3a98c6de6c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45., 75.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-2d0de015-51c3-4a85-a1f5-8fbb51c78ab0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d0de015-51c3-4a85-a1f5-8fbb51c78ab0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-250a60ab-4b06-472f-b7ea-b33e4ba20883' class='xr-var-data-in' type='checkbox'><label for='data-250a60ab-4b06-472f-b7ea-b33e4ba20883' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
+       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-6ceabbb1-c2be-4f9b-bae3-76d476089443' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ceabbb1-c2be-4f9b-bae3-76d476089443' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fcdc214-24f1-4c05-95d1-74214d904578' class='xr-var-data-in' type='checkbox'><label for='data-7fcdc214-24f1-4c05-95d1-74214d904578' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
+       "       125., 135., 145., 155., 165., 175., 185., 195., 205., 215., 225., 235.,\n",
+       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-fe385673-a0d5-4af6-9d9b-0319e775ae82' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe385673-a0d5-4af6-9d9b-0319e775ae82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb91ba58-00c7-4c00-b581-a0cd8de5676e' class='xr-var-data-in' type='checkbox'><label for='data-bb91ba58-00c7-4c00-b581-a0cd8de5676e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5f20c401-b7b2-42eb-b08f-2acc30996119' class='xr-section-summary-in' type='checkbox' checked /><label for='section-5f20c401-b7b2-42eb-b08f-2acc30996119' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0 60.0 90.0</div><input id='attrs-a2d01217-15fd-4d4f-9aa6-ec34ab04c8a1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a2d01217-15fd-4d4f-9aa6-ec34ab04c8a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3609cda5-f54d-463a-add9-4e72cdbbab1d' class='xr-var-data-in' type='checkbox'><label for='data-3609cda5-f54d-463a-add9-4e72cdbbab1d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
+       "       [30., 60.],\n",
+       "       [60., 90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-7bc09b3d-ca53-40a0-bb33-f26bb5f4575e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7bc09b3d-ca53-40a0-bb33-f26bb5f4575e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddd6f95e-b963-464a-81d7-481b55f8c478' class='xr-var-data-in' type='checkbox'><label for='data-ddd6f95e-b963-464a-81d7-481b55f8c478' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
+       "       [-80., -70.],\n",
+       "       [-70., -60.],\n",
+       "       [-60., -50.],\n",
+       "       [-50., -40.],\n",
+       "       [-40., -30.],\n",
+       "       [-30., -20.],\n",
+       "       [-20., -10.],\n",
+       "       [-10.,   0.],\n",
+       "       [  0.,  10.],\n",
+       "       [ 10.,  20.],\n",
+       "       [ 20.,  30.],\n",
+       "       [ 30.,  40.],\n",
+       "       [ 40.,  50.],\n",
+       "       [ 50.,  60.],\n",
+       "       [ 60.,  70.],\n",
+       "       [ 70.,  80.],\n",
+       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-4bbf0ceb-ccc9-4e0c-a504-e805e09ccb7f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4bbf0ceb-ccc9-4e0c-a504-e805e09ccb7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-824d46a8-15c0-4f03-a278-f738fa0b7016' class='xr-var-data-in' type='checkbox'><label for='data-824d46a8-15c0-4f03-a278-f738fa0b7016' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
+       "       [ 10.,  20.],\n",
+       "       [ 20.,  30.],\n",
+       "       [ 30.,  40.],\n",
+       "       [ 40.,  50.],\n",
+       "       [ 50.,  60.],\n",
+       "       [ 60.,  70.],\n",
+       "       [ 70.,  80.],\n",
+       "       [ 80.,  90.],\n",
+       "       [ 90., 100.],\n",
+       "       [100., 110.],\n",
+       "       [110., 120.],\n",
+       "       [120., 130.],\n",
+       "       [130., 140.],\n",
+       "       [140., 150.],\n",
+       "       [150., 160.],\n",
+       "       [160., 170.],\n",
+       "       [170., 180.],\n",
+       "       [180., 190.],\n",
+       "       [190., 200.],\n",
+       "       [200., 210.],\n",
+       "       [210., 220.],\n",
+       "       [220., 230.],\n",
+       "       [230., 240.],\n",
+       "       [240., 250.],\n",
+       "       [250., 260.],\n",
+       "       [260., 270.],\n",
+       "       [270., 280.],\n",
+       "       [280., 290.],\n",
+       "       [290., 300.],\n",
+       "       [300., 310.],\n",
+       "       [310., 320.],\n",
+       "       [320., 330.],\n",
+       "       [330., 340.],\n",
+       "       [340., 350.],\n",
+       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>240.3 240.3 240.2 ... 248.3 248.3</div><input id='attrs-64d50f7d-9404-4aec-9d71-f1a5d83a38e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64d50f7d-9404-4aec-9d71-f1a5d83a38e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-434f6ba6-348d-400f-bc19-b15fa5219102' class='xr-var-data-in' type='checkbox'><label for='data-434f6ba6-348d-400f-bc19-b15fa5219102' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>history :</span></dt><dd>2026-05-30T00:14:08Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;.</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[240.33421, 240.27368, 240.15443, ..., 240.15443, 240.27368,\n",
+       "         240.33421],\n",
+       "        [243.00682, 242.94627, 242.82704, ..., 242.82704, 242.94627,\n",
+       "         243.00682],\n",
+       "        [248.02966, 247.96913, 247.8499 , ..., 247.8499 , 247.96913,\n",
+       "         248.02966],\n",
+       "        ...,\n",
+       "        [248.02966, 247.96913, 247.8499 , ..., 247.8499 , 247.96913,\n",
+       "         248.02966],\n",
+       "        [243.00682, 242.94627, 242.82704, ..., 242.82704, 242.94627,\n",
+       "         243.00682],\n",
+       "        [240.33421, 240.27368, 240.15443, ..., 240.15443, 240.27368,\n",
+       "         240.33421]],\n",
+       "\n",
+       "       [[244.33421, 244.27368, 244.15443, ..., 244.15443, 244.27368,\n",
+       "         244.33421],\n",
+       "        [247.00682, 246.94627, 246.82704, ..., 246.82704, 246.94627,\n",
+       "         247.00682],\n",
+       "        [252.02966, 251.96913, 251.8499 , ..., 251.8499 , 251.96913,\n",
+       "         252.02966],\n",
+       "...\n",
+       "        [252.02966, 251.96913, 251.8499 , ..., 251.8499 , 251.96913,\n",
+       "         252.02966],\n",
+       "        [247.00682, 246.94627, 246.82704, ..., 246.82704, 246.94627,\n",
+       "         247.00682],\n",
+       "        [244.33421, 244.27368, 244.15443, ..., 244.15443, 244.27368,\n",
+       "         244.33421]],\n",
+       "\n",
+       "       [[248.33421, 248.27368, 248.15443, ..., 248.15443, 248.27368,\n",
+       "         248.33421],\n",
+       "        [251.00682, 250.94627, 250.82704, ..., 250.82704, 250.94627,\n",
+       "         251.00682],\n",
+       "        [256.02966, 255.96913, 255.8499 , ..., 255.8499 , 255.96913,\n",
+       "         256.02966],\n",
+       "        ...,\n",
+       "        [256.02966, 255.96913, 255.8499 , ..., 255.8499 , 255.96913,\n",
+       "         256.02966],\n",
+       "        [251.00682, 250.94627, 250.82704, ..., 250.82704, 250.94627,\n",
+       "         251.00682],\n",
+       "        [248.33421, 248.27368, 248.15443, ..., 248.15443, 248.27368,\n",
+       "         248.33421]]], shape=(3, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4f330a6f-ae6d-4a42-8369-ae5606428d0d' class='xr-section-summary-in' type='checkbox' checked /><label for='section-4f330a6f-ae6d-4a42-8369-ae5606428d0d' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>tas_tavg-h2m-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-h2m-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-30T00:14:08Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-30T00:14:08Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/ce506b60-0ff6-4aee-aa8b-6e9a4130f68f</dd><dt><span>variable_id :</span></dt><dd>tas</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>h2m</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 9kB\n",
+       "Dimensions:    (time: 3, bnds: 2, lat: 18, lon: 36)\n",
+       "Coordinates:\n",
+       "  * time       (time) float64 24B 15.0 45.0 75.0\n",
+       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
+       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
+       "    height     float64 8B 2.0\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) float64 48B 0.0 30.0 30.0 60.0 60.0 90.0\n",
+       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
+       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
+       "    tas        (time, lat, lon) float32 8kB 240.3 240.3 240.2 ... 248.3 248.3\n",
+       "Attributes:\n",
+       "    Conventions:           CF-1.12\n",
+       "    activity_id:           CMIP\n",
+       "    area_label:            u\n",
+       "    branded_variable:      tas_tavg-h2m-hxy-u\n",
+       "    branding_suffix:       tavg-h2m-hxy-u\n",
+       "    creation_date:         2026-05-30T00:14:08Z\n",
+       "    data_specs_version:    MIP-DS7.1.0.0\n",
+       "    description:           Simulation of the climate of the recent past with ...\n",
+       "    drs_specs:             MIP-DRS7\n",
+       "    experiment:            Simulation of the climate of the recent past with ...\n",
+       "    experiment_id:         amip\n",
+       "    external_variables:    areacella\n",
+       "    forcing_index:         f3\n",
+       "    frequency:             mon\n",
+       "    grid_label:            g999\n",
+       "    history:               2026-05-30T00:14:08Z ; CMOR rewrote data to be con...\n",
+       "    horizontal_label:      hxy\n",
+       "    host_collection:       CMIP7\n",
+       "    initialization_index:  i1\n",
+       "    institution:           Environment and Climate Change Canada\n",
+       "    institution_id:        CCCma\n",
+       "    license_id:            CC-BY-4.0\n",
+       "    mip_era:               CMIP7\n",
+       "    nominal_resolution:    100 km\n",
+       "    physics_index:         p1\n",
+       "    product:               model-output\n",
+       "    realization_index:     r9\n",
+       "    realm:                 atmos\n",
+       "    region:                glb\n",
+       "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
+       "    source_id:             DUMMY-MODEL\n",
+       "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
+       "    temporal_label:        tavg\n",
+       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
+       "    tracking_id:           hdl:21.14107/ce506b60-0ff6-4aee-aa8b-6e9a4130f68f\n",
+       "    variable_id:           tas\n",
+       "    variant_label:         r9i1p1f3\n",
+       "    vertical_label:        h2m\n",
+       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+       "    cmor_version:          3.15.1"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
     "with xr.open_dataset(netcdf_path, decode_times=False) as opened:\n",
     "    ds = opened.load()\n",
     "\n",
-    "with xr.set_options(display_expand_attrs=True, display_max_rows=80):\n",
-    "    print(ds)\n"
+    "with xr.set_options(\n",
+    "    display_style=\"html\",\n",
+    "    display_expand_attrs=True,\n",
+    "    display_expand_coords=True,\n",
+    "    display_expand_data_vars=True,\n",
+    "    display_max_rows=80,\n",
+    "):\n",
+    "    display(ds)"
    ]
   },
   {
@@ -262,10 +966,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T23:16:06.424103Z",
-     "iopub.status.busy": "2026-05-29T23:16:06.424018Z",
-     "iopub.status.idle": "2026-05-29T23:16:06.558798Z",
-     "shell.execute_reply": "2026-05-29T23:16:06.558288Z"
+     "iopub.execute_input": "2026-05-30T00:14:08.282396Z",
+     "iopub.status.busy": "2026-05-30T00:14:08.282265Z",
+     "iopub.status.idle": "2026-05-30T00:14:08.415301Z",
+     "shell.execute_reply": "2026-05-30T00:14:08.414813Z"
     }
    },
    "outputs": [
diff --git a/notebooks/03_pressure_level_air_temperature.ipynb b/notebooks/03_pressure_level_air_temperature.ipynb
index 26d26388..963b6b1a 100644
--- a/notebooks/03_pressure_level_air_temperature.ipynb
+++ b/notebooks/03_pressure_level_air_temperature.ipynb
@@ -14,10 +14,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T23:16:07.497441Z",
-     "iopub.status.busy": "2026-05-29T23:16:07.497261Z",
-     "iopub.status.idle": "2026-05-29T23:16:07.995169Z",
-     "shell.execute_reply": "2026-05-29T23:16:07.994757Z"
+     "iopub.execute_input": "2026-05-30T00:14:09.326076Z",
+     "iopub.status.busy": "2026-05-30T00:14:09.325995Z",
+     "iopub.status.idle": "2026-05-30T00:14:09.817766Z",
+     "shell.execute_reply": "2026-05-30T00:14:09.817252Z"
     }
    },
    "outputs": [
@@ -35,6 +35,7 @@
     "import shutil\n",
     "\n",
     "import cmor\n",
+    "from IPython.display import display\n",
     "import matplotlib.pyplot as plt\n",
     "from mpl_toolkits.basemap import Basemap\n",
     "import numpy as np\n",
@@ -55,10 +56,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T23:16:07.996559Z",
-     "iopub.status.busy": "2026-05-29T23:16:07.996407Z",
-     "iopub.status.idle": "2026-05-29T23:16:08.003242Z",
-     "shell.execute_reply": "2026-05-29T23:16:08.002863Z"
+     "iopub.execute_input": "2026-05-30T00:14:09.819308Z",
+     "iopub.status.busy": "2026-05-30T00:14:09.819122Z",
+     "iopub.status.idle": "2026-05-30T00:14:09.827489Z",
+     "shell.execute_reply": "2026-05-30T00:14:09.827091Z"
     }
    },
    "outputs": [
@@ -151,10 +152,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T23:16:08.004409Z",
-     "iopub.status.busy": "2026-05-29T23:16:08.004329Z",
-     "iopub.status.idle": "2026-05-29T23:16:08.080462Z",
-     "shell.execute_reply": "2026-05-29T23:16:08.080025Z"
+     "iopub.execute_input": "2026-05-30T00:14:09.828670Z",
+     "iopub.status.busy": "2026-05-30T00:14:09.828593Z",
+     "iopub.status.idle": "2026-05-30T00:14:09.900421Z",
+     "shell.execute_reply": "2026-05-30T00:14:09.900013Z"
     }
    },
    "outputs": [
@@ -206,87 +207,784 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T23:16:08.081856Z",
-     "iopub.status.busy": "2026-05-29T23:16:08.081778Z",
-     "iopub.status.idle": "2026-05-29T23:16:08.195902Z",
-     "shell.execute_reply": "2026-05-29T23:16:08.195564Z"
+     "iopub.execute_input": "2026-05-30T00:14:09.901518Z",
+     "iopub.status.busy": "2026-05-30T00:14:09.901451Z",
+     "iopub.status.idle": "2026-05-30T00:14:10.018111Z",
+     "shell.execute_reply": "2026-05-30T00:14:10.017654Z"
     }
    },
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<xarray.Dataset> Size: 100kB\n",
-      "Dimensions:    (time: 2, bnds: 2, lat: 18, lon: 36, plev: 19)\n",
-      "Coordinates:\n",
-      "  * time       (time) float64 16B 15.0 45.0\n",
-      "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
-      "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
-      "  * plev       (plev) float64 152B 1e+05 9.25e+04 8.5e+04 ... 1e+03 500.0 100.0\n",
-      "Dimensions without coordinates: bnds\n",
-      "Data variables:\n",
-      "    time_bnds  (time, bnds) float64 32B 0.0 30.0 30.0 60.0\n",
-      "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
-      "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
-      "    ta         (time, plev, lat, lon) float32 98kB 251.3 251.2 ... 31.38 31.41\n",
-      "Attributes:\n",
-      "    Conventions:           CF-1.12\n",
-      "    activity_id:           CMIP\n",
-      "    area_label:            air\n",
-      "    branded_variable:      ta_tavg-p19-hxy-air\n",
-      "    branding_suffix:       tavg-p19-hxy-air\n",
-      "    creation_date:         2026-05-29T23:16:08Z\n",
-      "    data_specs_version:    MIP-DS7.1.0.0\n",
-      "    description:           Simulation of the climate of the recent past with ...\n",
-      "    drs_specs:             MIP-DRS7\n",
-      "    experiment:            Simulation of the climate of the recent past with ...\n",
-      "    experiment_id:         amip\n",
-      "    external_variables:    areacella\n",
-      "    forcing_index:         f3\n",
-      "    frequency:             mon\n",
-      "    grid_label:            g999\n",
-      "    history:               2026-05-29T23:16:08Z ; CMOR rewrote data to be con...\n",
-      "    horizontal_label:      hxy\n",
-      "    host_collection:       CMIP7\n",
-      "    initialization_index:  i1\n",
-      "    institution:           Environment and Climate Change Canada\n",
-      "    institution_id:        CCCma\n",
-      "    license_id:            CC-BY-4.0\n",
-      "    mip_era:               CMIP7\n",
-      "    nominal_resolution:    100 km\n",
-      "    physics_index:         p1\n",
-      "    product:               model-output\n",
-      "    realization_index:     r9\n",
-      "    realm:                 atmos\n",
-      "    region:                glb\n",
-      "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
-      "    source_id:             DUMMY-MODEL\n",
-      "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
-      "    temporal_label:        tavg\n",
-      "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-      "    tracking_id:           hdl:21.14107/674a0662-c1d9-4c71-9b4f-8da5a389a083\n",
-      "    variable_id:           ta\n",
-      "    variant_label:         r9i1p1f3\n",
-      "    vertical_label:        p19\n",
-      "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-      "    cmor_version:          3.15.1"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n"
-     ]
+     "data": {
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+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "  line-height: 1.6;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "  margin-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-obj-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-group-box-contents > label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "  margin-block-start: 0;\n",
+       "  margin-block-end: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input,\n",
+       ".xr-group-box-contents > input,\n",
+       ".xr-array-wrap > input {\n",
+       "  display: block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input + label,\n",
+       ".xr-var-item > input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label,\n",
+       ".xr-var-item > input:enabled + label,\n",
+       ".xr-array-wrap > input:enabled + label,\n",
+       ".xr-group-box-contents > input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:focus-visible + label,\n",
+       ".xr-var-item > input:focus-visible + label,\n",
+       ".xr-array-wrap > input:focus-visible + label,\n",
+       ".xr-group-box-contents > input:focus-visible + label {\n",
+       "  outline: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label:hover,\n",
+       ".xr-var-item > input:enabled + label:hover,\n",
+       ".xr-array-wrap > input:enabled + label:hover,\n",
+       ".xr-group-box-contents > input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "  white-space: nowrap;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > em {\n",
+       "  font-weight: normal;\n",
+       "}\n",
+       "\n",
+       ".xr-span-grid {\n",
+       "  grid-column-end: -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.6em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details,\n",
+       ".xr-group-box-contents > label {\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-top: 4px;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in ~ .xr-section-details {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-children {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 100%;\n",
+       "  grid-column: 1 / -1;\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 0px 30px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-vline {\n",
+       "  grid-column-start: 1;\n",
+       "  border-right: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "  width: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-hline {\n",
+       "  grid-column-start: 2;\n",
+       "  grid-row-start: 1;\n",
+       "  height: 1em;\n",
+       "  width: 26px;\n",
+       "  border-bottom: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents {\n",
+       "  grid-column-start: 3;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > label::before {\n",
+       "  content: \"📂\";\n",
+       "  padding-right: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label::before {\n",
+       "  content: \"📁\";\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label {\n",
+       "  padding-bottom: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-ellipsis {\n",
+       "  font-size: 1.4em;\n",
+       "  font-weight: 900;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  letter-spacing: 0.15em;\n",
+       "  cursor: default;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 100kB\n",
+       "Dimensions:    (time: 2, bnds: 2, lat: 18, lon: 36, plev: 19)\n",
+       "Coordinates:\n",
+       "  * time       (time) float64 16B 15.0 45.0\n",
+       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
+       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
+       "  * plev       (plev) float64 152B 1e+05 9.25e+04 8.5e+04 ... 1e+03 500.0 100.0\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) float64 32B 0.0 30.0 30.0 60.0\n",
+       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
+       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
+       "    ta         (time, plev, lat, lon) float32 98kB 251.3 251.2 ... 31.38 31.41\n",
+       "Attributes:\n",
+       "    Conventions:           CF-1.12\n",
+       "    activity_id:           CMIP\n",
+       "    area_label:            air\n",
+       "    branded_variable:      ta_tavg-p19-hxy-air\n",
+       "    branding_suffix:       tavg-p19-hxy-air\n",
+       "    creation_date:         2026-05-30T00:14:09Z\n",
+       "    data_specs_version:    MIP-DS7.1.0.0\n",
+       "    description:           Simulation of the climate of the recent past with ...\n",
+       "    drs_specs:             MIP-DRS7\n",
+       "    experiment:            Simulation of the climate of the recent past with ...\n",
+       "    experiment_id:         amip\n",
+       "    external_variables:    areacella\n",
+       "    forcing_index:         f3\n",
+       "    frequency:             mon\n",
+       "    grid_label:            g999\n",
+       "    history:               2026-05-30T00:14:09Z ; CMOR rewrote data to be con...\n",
+       "    horizontal_label:      hxy\n",
+       "    host_collection:       CMIP7\n",
+       "    initialization_index:  i1\n",
+       "    institution:           Environment and Climate Change Canada\n",
+       "    institution_id:        CCCma\n",
+       "    license_id:            CC-BY-4.0\n",
+       "    mip_era:               CMIP7\n",
+       "    nominal_resolution:    100 km\n",
+       "    physics_index:         p1\n",
+       "    product:               model-output\n",
+       "    realization_index:     r9\n",
+       "    realm:                 atmos\n",
+       "    region:                glb\n",
+       "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
+       "    source_id:             DUMMY-MODEL\n",
+       "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
+       "    temporal_label:        tavg\n",
+       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
+       "    tracking_id:           hdl:21.14107/49026c7a-d26a-47c4-bace-86d6671f07e1\n",
+       "    variable_id:           ta\n",
+       "    variant_label:         r9i1p1f3\n",
+       "    vertical_label:        p19\n",
+       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a244e686-ffb1-4d9a-81dd-4b9e1989b1e2' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-a244e686-ffb1-4d9a-81dd-4b9e1989b1e2' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li><li><span class='xr-has-index'>plev</span>: 19</li></ul></div></li><li class='xr-section-item'><input id='section-f3ba58c3-57dc-46e3-8d57-9e9b98aecb56' class='xr-section-summary-in' type='checkbox' checked /><label for='section-f3ba58c3-57dc-46e3-8d57-9e9b98aecb56' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0</div><input id='attrs-2f0385ab-2e32-47fa-a704-434cb7a6f6f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f0385ab-2e32-47fa-a704-434cb7a6f6f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f79d92c-7ec0-4353-981c-d5424ff70ceb' class='xr-var-data-in' type='checkbox'><label for='data-8f79d92c-7ec0-4353-981c-d5424ff70ceb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-742ef131-cf4a-4bc2-914f-2694d155728a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-742ef131-cf4a-4bc2-914f-2694d155728a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1968e203-6cd2-40da-b68c-b62523e4915c' class='xr-var-data-in' type='checkbox'><label for='data-1968e203-6cd2-40da-b68c-b62523e4915c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
+       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-6191a356-223e-450c-93d0-cf11743038cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6191a356-223e-450c-93d0-cf11743038cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c54f6925-a074-49b1-9ffc-40ec0bc5ebb7' class='xr-var-data-in' type='checkbox'><label for='data-c54f6925-a074-49b1-9ffc-40ec0bc5ebb7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
+       "       125., 135., 145., 155., 165., 175., 185., 195., 205., 215., 225., 235.,\n",
+       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>plev</span></div><div class='xr-var-dims'>(plev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05 9.25e+04 ... 500.0 100.0</div><input id='attrs-7c8268bd-d082-4929-b61d-efeb6af9bc04' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c8268bd-d082-4929-b61d-efeb6af9bc04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0821a0b3-cc05-422a-8573-3459eaaed303' class='xr-var-data-in' type='checkbox'><label for='data-0821a0b3-cc05-422a-8573-3459eaaed303' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>Pressure Levels (19)</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd></dl></div><div class='xr-var-data'><pre>array([100000.,  92500.,  85000.,  70000.,  60000.,  50000.,  40000.,  30000.,\n",
+       "        25000.,  20000.,  15000.,  10000.,   7000.,   5000.,   3000.,   2000.,\n",
+       "         1000.,    500.,    100.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5db1715c-0687-43f1-bdd2-ef3e5febf086' class='xr-section-summary-in' type='checkbox' checked /><label for='section-5db1715c-0687-43f1-bdd2-ef3e5febf086' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0</div><input id='attrs-f0c7ff93-52a1-45ac-a235-536e7ac42e80' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f0c7ff93-52a1-45ac-a235-536e7ac42e80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e877b719-e493-4bdc-97c6-3a8bb9f244e3' class='xr-var-data-in' type='checkbox'><label for='data-e877b719-e493-4bdc-97c6-3a8bb9f244e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
+       "       [30., 60.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-80b273a4-5128-4185-a37b-edac3e00db1b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-80b273a4-5128-4185-a37b-edac3e00db1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-781a2624-f893-4fba-b452-76f8af7bb2a6' class='xr-var-data-in' type='checkbox'><label for='data-781a2624-f893-4fba-b452-76f8af7bb2a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
+       "       [-80., -70.],\n",
+       "       [-70., -60.],\n",
+       "       [-60., -50.],\n",
+       "       [-50., -40.],\n",
+       "       [-40., -30.],\n",
+       "       [-30., -20.],\n",
+       "       [-20., -10.],\n",
+       "       [-10.,   0.],\n",
+       "       [  0.,  10.],\n",
+       "       [ 10.,  20.],\n",
+       "       [ 20.,  30.],\n",
+       "       [ 30.,  40.],\n",
+       "       [ 40.,  50.],\n",
+       "       [ 50.,  60.],\n",
+       "       [ 60.,  70.],\n",
+       "       [ 70.,  80.],\n",
+       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-b9712a45-fcde-4672-b24a-8019df8bc6ea' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b9712a45-fcde-4672-b24a-8019df8bc6ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2160250d-c4df-4b17-86a8-36ad0847321c' class='xr-var-data-in' type='checkbox'><label for='data-2160250d-c4df-4b17-86a8-36ad0847321c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
+       "       [ 10.,  20.],\n",
+       "       [ 20.,  30.],\n",
+       "       [ 30.,  40.],\n",
+       "       [ 40.,  50.],\n",
+       "       [ 50.,  60.],\n",
+       "       [ 60.,  70.],\n",
+       "       [ 70.,  80.],\n",
+       "       [ 80.,  90.],\n",
+       "       [ 90., 100.],\n",
+       "       [100., 110.],\n",
+       "       [110., 120.],\n",
+       "       [120., 130.],\n",
+       "       [130., 140.],\n",
+       "       [140., 150.],\n",
+       "       [150., 160.],\n",
+       "       [160., 170.],\n",
+       "       [170., 180.],\n",
+       "       [180., 190.],\n",
+       "       [190., 200.],\n",
+       "       [200., 210.],\n",
+       "       [210., 220.],\n",
+       "       [220., 230.],\n",
+       "       [230., 240.],\n",
+       "       [240., 250.],\n",
+       "       [250., 260.],\n",
+       "       [260., 270.],\n",
+       "       [270., 280.],\n",
+       "       [280., 290.],\n",
+       "       [290., 300.],\n",
+       "       [300., 310.],\n",
+       "       [310., 320.],\n",
+       "       [320., 330.],\n",
+       "       [330., 340.],\n",
+       "       [340., 350.],\n",
+       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, plev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>251.3 251.2 251.2 ... 31.38 31.41</div><input id='attrs-bf79519c-0715-4932-b628-0e28053a91ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf79519c-0715-4932-b628-0e28053a91ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fbe55981-4354-4ff1-86ba-cfc6ae3b2611' class='xr-var-data-in' type='checkbox'><label for='data-fbe55981-4354-4ff1-86ba-cfc6ae3b2611' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean where air</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[251.26205 , 251.2318  , 251.17216 , ..., 251.17216 ,\n",
+       "          251.2318  , 251.26205 ],\n",
+       "         [253.34074 , 253.31049 , 253.25087 , ..., 253.25087 ,\n",
+       "          253.31049 , 253.34074 ],\n",
+       "         [257.2474  , 257.21713 , 257.15753 , ..., 257.15753 ,\n",
+       "          257.21713 , 257.2474  ],\n",
+       "         ...,\n",
+       "         [257.2474  , 257.21713 , 257.15753 , ..., 257.15753 ,\n",
+       "          257.21713 , 257.2474  ],\n",
+       "         [253.34074 , 253.31049 , 253.25087 , ..., 253.25087 ,\n",
+       "          253.31049 , 253.34074 ],\n",
+       "         [251.26205 , 251.2318  , 251.17216 , ..., 251.17216 ,\n",
+       "          251.2318  , 251.26205 ]],\n",
+       "\n",
+       "        [[248.76729 , 248.73701 , 248.6774  , ..., 248.6774  ,\n",
+       "          248.73701 , 248.76729 ],\n",
+       "         [250.84598 , 250.8157  , 250.75609 , ..., 250.75609 ,\n",
+       "          250.8157  , 250.84598 ],\n",
+       "         [254.75264 , 254.72237 , 254.66275 , ..., 254.66275 ,\n",
+       "          254.72237 , 254.75264 ],\n",
+       "...\n",
+       "         [ 88.90125 ,  88.87099 ,  88.81137 , ...,  88.81137 ,\n",
+       "           88.87099 ,  88.90125 ],\n",
+       "         [ 84.99459 ,  84.964325,  84.90471 , ...,  84.90471 ,\n",
+       "           84.964325,  84.99459 ],\n",
+       "         [ 82.9159  ,  82.885635,  82.82602 , ...,  82.82602 ,\n",
+       "           82.885635,  82.9159  ]],\n",
+       "\n",
+       "        [[ 31.41389 ,  31.383621,  31.324003, ...,  31.324003,\n",
+       "           31.383621,  31.41389 ],\n",
+       "         [ 33.49258 ,  33.46231 ,  33.402695, ...,  33.402695,\n",
+       "           33.46231 ,  33.49258 ],\n",
+       "         [ 37.399242,  37.368973,  37.309357, ...,  37.309357,\n",
+       "           37.368973,  37.399242],\n",
+       "         ...,\n",
+       "         [ 37.399242,  37.368973,  37.309357, ...,  37.309357,\n",
+       "           37.368973,  37.399242],\n",
+       "         [ 33.49258 ,  33.46231 ,  33.402695, ...,  33.402695,\n",
+       "           33.46231 ,  33.49258 ],\n",
+       "         [ 31.41389 ,  31.383621,  31.324003, ...,  31.324003,\n",
+       "           31.383621,  31.41389 ]]]], shape=(2, 19, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c026b567-cb4d-409e-a3c3-9588d4283ab9' class='xr-section-summary-in' type='checkbox' checked /><label for='section-c026b567-cb4d-409e-a3c3-9588d4283ab9' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>air</dd><dt><span>branded_variable :</span></dt><dd>ta_tavg-p19-hxy-air</dd><dt><span>branding_suffix :</span></dt><dd>tavg-p19-hxy-air</dd><dt><span>creation_date :</span></dt><dd>2026-05-30T00:14:09Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-30T00:14:09Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/49026c7a-d26a-47c4-bace-86d6671f07e1</dd><dt><span>variable_id :</span></dt><dd>ta</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>p19</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 100kB\n",
+       "Dimensions:    (time: 2, bnds: 2, lat: 18, lon: 36, plev: 19)\n",
+       "Coordinates:\n",
+       "  * time       (time) float64 16B 15.0 45.0\n",
+       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
+       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
+       "  * plev       (plev) float64 152B 1e+05 9.25e+04 8.5e+04 ... 1e+03 500.0 100.0\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) float64 32B 0.0 30.0 30.0 60.0\n",
+       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
+       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
+       "    ta         (time, plev, lat, lon) float32 98kB 251.3 251.2 ... 31.38 31.41\n",
+       "Attributes:\n",
+       "    Conventions:           CF-1.12\n",
+       "    activity_id:           CMIP\n",
+       "    area_label:            air\n",
+       "    branded_variable:      ta_tavg-p19-hxy-air\n",
+       "    branding_suffix:       tavg-p19-hxy-air\n",
+       "    creation_date:         2026-05-30T00:14:09Z\n",
+       "    data_specs_version:    MIP-DS7.1.0.0\n",
+       "    description:           Simulation of the climate of the recent past with ...\n",
+       "    drs_specs:             MIP-DRS7\n",
+       "    experiment:            Simulation of the climate of the recent past with ...\n",
+       "    experiment_id:         amip\n",
+       "    external_variables:    areacella\n",
+       "    forcing_index:         f3\n",
+       "    frequency:             mon\n",
+       "    grid_label:            g999\n",
+       "    history:               2026-05-30T00:14:09Z ; CMOR rewrote data to be con...\n",
+       "    horizontal_label:      hxy\n",
+       "    host_collection:       CMIP7\n",
+       "    initialization_index:  i1\n",
+       "    institution:           Environment and Climate Change Canada\n",
+       "    institution_id:        CCCma\n",
+       "    license_id:            CC-BY-4.0\n",
+       "    mip_era:               CMIP7\n",
+       "    nominal_resolution:    100 km\n",
+       "    physics_index:         p1\n",
+       "    product:               model-output\n",
+       "    realization_index:     r9\n",
+       "    realm:                 atmos\n",
+       "    region:                glb\n",
+       "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
+       "    source_id:             DUMMY-MODEL\n",
+       "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
+       "    temporal_label:        tavg\n",
+       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
+       "    tracking_id:           hdl:21.14107/49026c7a-d26a-47c4-bace-86d6671f07e1\n",
+       "    variable_id:           ta\n",
+       "    variant_label:         r9i1p1f3\n",
+       "    vertical_label:        p19\n",
+       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+       "    cmor_version:          3.15.1"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
     "with xr.open_dataset(netcdf_path, decode_times=False) as opened:\n",
     "    ds = opened.load()\n",
     "\n",
-    "with xr.set_options(display_expand_attrs=True, display_max_rows=80):\n",
-    "    print(ds)\n"
+    "with xr.set_options(\n",
+    "    display_style=\"html\",\n",
+    "    display_expand_attrs=True,\n",
+    "    display_expand_coords=True,\n",
+    "    display_expand_data_vars=True,\n",
+    "    display_max_rows=80,\n",
+    "):\n",
+    "    display(ds)"
    ]
   },
   {
@@ -294,10 +992,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T23:16:08.197228Z",
-     "iopub.status.busy": "2026-05-29T23:16:08.197150Z",
-     "iopub.status.idle": "2026-05-29T23:16:08.331612Z",
-     "shell.execute_reply": "2026-05-29T23:16:08.331164Z"
+     "iopub.execute_input": "2026-05-30T00:14:10.019539Z",
+     "iopub.status.busy": "2026-05-30T00:14:10.019443Z",
+     "iopub.status.idle": "2026-05-30T00:14:10.154761Z",
+     "shell.execute_reply": "2026-05-30T00:14:10.154218Z"
     }
    },
    "outputs": [
diff --git a/notebooks/04_hybrid_sigma_zfactors.ipynb b/notebooks/04_hybrid_sigma_zfactors.ipynb
index 044ab50b..82e0788b 100644
--- a/notebooks/04_hybrid_sigma_zfactors.ipynb
+++ b/notebooks/04_hybrid_sigma_zfactors.ipynb
@@ -14,10 +14,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T23:16:09.207112Z",
-     "iopub.status.busy": "2026-05-29T23:16:09.207029Z",
-     "iopub.status.idle": "2026-05-29T23:16:09.692070Z",
-     "shell.execute_reply": "2026-05-29T23:16:09.691728Z"
+     "iopub.execute_input": "2026-05-30T00:14:11.016089Z",
+     "iopub.status.busy": "2026-05-30T00:14:11.015958Z",
+     "iopub.status.idle": "2026-05-30T00:14:11.505497Z",
+     "shell.execute_reply": "2026-05-30T00:14:11.505035Z"
     }
    },
    "outputs": [
@@ -35,6 +35,7 @@
     "import shutil\n",
     "\n",
     "import cmor\n",
+    "from IPython.display import display\n",
     "import matplotlib.pyplot as plt\n",
     "from mpl_toolkits.basemap import Basemap\n",
     "import numpy as np\n",
@@ -55,10 +56,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T23:16:09.693509Z",
-     "iopub.status.busy": "2026-05-29T23:16:09.693387Z",
-     "iopub.status.idle": "2026-05-29T23:16:09.700698Z",
-     "shell.execute_reply": "2026-05-29T23:16:09.700301Z"
+     "iopub.execute_input": "2026-05-30T00:14:11.506884Z",
+     "iopub.status.busy": "2026-05-30T00:14:11.506733Z",
+     "iopub.status.idle": "2026-05-30T00:14:11.514287Z",
+     "shell.execute_reply": "2026-05-30T00:14:11.513937Z"
     }
    },
    "outputs": [
@@ -142,10 +143,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T23:16:09.701871Z",
-     "iopub.status.busy": "2026-05-29T23:16:09.701799Z",
-     "iopub.status.idle": "2026-05-29T23:16:09.774369Z",
-     "shell.execute_reply": "2026-05-29T23:16:09.773921Z"
+     "iopub.execute_input": "2026-05-30T00:14:11.515713Z",
+     "iopub.status.busy": "2026-05-30T00:14:11.515630Z",
+     "iopub.status.idle": "2026-05-30T00:14:11.589635Z",
+     "shell.execute_reply": "2026-05-30T00:14:11.589108Z"
     }
    },
    "outputs": [
@@ -203,87 +204,834 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T23:16:09.775542Z",
-     "iopub.status.busy": "2026-05-29T23:16:09.775470Z",
-     "iopub.status.idle": "2026-05-29T23:16:09.886503Z",
-     "shell.execute_reply": "2026-05-29T23:16:09.886135Z"
+     "iopub.execute_input": "2026-05-30T00:14:11.590730Z",
+     "iopub.status.busy": "2026-05-30T00:14:11.590656Z",
+     "iopub.status.idle": "2026-05-30T00:14:11.708053Z",
+     "shell.execute_reply": "2026-05-30T00:14:11.707503Z"
     }
    },
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<xarray.Dataset> Size: 33kB\n",
-      "Dimensions:    (time: 2, bnds: 2, lev: 5, lat: 18, lon: 36)\n",
-      "Coordinates:\n",
-      "  * time       (time) float64 16B 15.0 45.0\n",
-      "  * lev        (lev) float64 40B 0.95 0.75 0.5 0.25 0.05\n",
-      "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
-      "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
-      "Dimensions without coordinates: bnds\n",
-      "Data variables:\n",
-      "    time_bnds  (time, bnds) float64 32B 0.0 30.0 30.0 60.0\n",
-      "    lev_bnds   (lev, bnds) float64 80B 1.0 0.85 0.85 0.625 ... 0.125 0.125 0.0\n",
-      "    p0         float64 8B 1e+05\n",
-      "    a          (lev) float64 40B 0.02 0.05 0.1 0.2 0.35\n",
-      "    b          (lev) float64 40B 0.9 0.7 0.45 0.2 0.03\n",
-      "    ps         (time, lat, lon) float32 5kB 8.639e+04 8.638e+04 ... 8.654e+04\n",
-      "    a_bnds     (lev, bnds) float64 80B 0.0 0.035 0.035 ... 0.275 0.275 0.45\n",
-      "    b_bnds     (lev, bnds) float64 80B 1.0 0.8 0.8 0.575 ... 0.115 0.115 0.0\n",
-      "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
-      "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
-      "    ta         (time, lev, lat, lon) float32 26kB 258.5 258.4 ... 209.9 210.0\n",
-      "Attributes:\n",
-      "    Conventions:           CF-1.12\n",
-      "    activity_id:           CMIP\n",
-      "    area_label:            u\n",
-      "    branded_variable:      ta_tavg-al-hxy-u\n",
-      "    branding_suffix:       tavg-al-hxy-u\n",
-      "    creation_date:         2026-05-29T23:16:09Z\n",
-      "    data_specs_version:    MIP-DS7.1.0.0\n",
-      "    description:           Simulation of the climate of the recent past with ...\n",
-      "    drs_specs:             MIP-DRS7\n",
-      "    experiment:            Simulation of the climate of the recent past with ...\n",
-      "    experiment_id:         amip\n",
-      "    external_variables:    areacella\n",
-      "    forcing_index:         f3\n",
-      "    frequency:             mon\n",
-      "    grid_label:            g999\n",
-      "    history:               2026-05-29T23:16:09Z ; CMOR rewrote data to be con...\n",
-      "    horizontal_label:      hxy\n",
-      "    host_collection:       CMIP7\n",
-      "    initialization_index:  i1\n",
-      "    institution:           Environment and Climate Change Canada\n",
-      "    institution_id:        CCCma\n",
-      "    license_id:            CC-BY-4.0\n",
-      "    mip_era:               CMIP7\n",
-      "    nominal_resolution:    100 km\n",
-      "    physics_index:         p1\n",
-      "    product:               model-output\n",
-      "    realization_index:     r9\n",
-      "    realm:                 atmos\n",
-      "    region:                glb\n",
-      "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
-      "    source_id:             DUMMY-MODEL\n",
-      "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
-      "    temporal_label:        tavg\n",
-      "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-      "    variable_id:           ta\n",
-      "    variant_label:         r9i1p1f3\n",
-      "    vertical_label:        al\n",
-      "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-      "    cmor_version:          3.15.1\n",
-      "    tracking_id:           hdl:21.14107/a1e33c51-f8f3-45f6-9fff-eb0cbcd86322\n"
-     ]
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+       ".xr-header > ul {\n",
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+       "  opacity: 0;\n",
+       "  height: 0;\n",
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+       "}\n",
+       "\n",
+       ".xr-section-item > input + label,\n",
+       ".xr-var-item > input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label,\n",
+       ".xr-var-item > input:enabled + label,\n",
+       ".xr-array-wrap > input:enabled + label,\n",
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+       "\n",
+       ".xr-section-item > input:focus-visible + label,\n",
+       ".xr-var-item > input:focus-visible + label,\n",
+       ".xr-array-wrap > input:focus-visible + label,\n",
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+       ".xr-array-wrap > input:enabled + label:hover,\n",
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+       "  display: inline-block;\n",
+       "  padding-left: 0.6em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details,\n",
+       ".xr-group-box-contents > label {\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-top: 4px;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in ~ .xr-section-details {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-children {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 100%;\n",
+       "  grid-column: 1 / -1;\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 0px 30px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-vline {\n",
+       "  grid-column-start: 1;\n",
+       "  border-right: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "  width: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-hline {\n",
+       "  grid-column-start: 2;\n",
+       "  grid-row-start: 1;\n",
+       "  height: 1em;\n",
+       "  width: 26px;\n",
+       "  border-bottom: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents {\n",
+       "  grid-column-start: 3;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > label::before {\n",
+       "  content: \"📂\";\n",
+       "  padding-right: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label::before {\n",
+       "  content: \"📁\";\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label {\n",
+       "  padding-bottom: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-ellipsis {\n",
+       "  font-size: 1.4em;\n",
+       "  font-weight: 900;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  letter-spacing: 0.15em;\n",
+       "  cursor: default;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 33kB\n",
+       "Dimensions:    (time: 2, bnds: 2, lev: 5, lat: 18, lon: 36)\n",
+       "Coordinates:\n",
+       "  * time       (time) float64 16B 15.0 45.0\n",
+       "  * lev        (lev) float64 40B 0.95 0.75 0.5 0.25 0.05\n",
+       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
+       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) float64 32B 0.0 30.0 30.0 60.0\n",
+       "    lev_bnds   (lev, bnds) float64 80B 1.0 0.85 0.85 0.625 ... 0.125 0.125 0.0\n",
+       "    p0         float64 8B 1e+05\n",
+       "    a          (lev) float64 40B 0.02 0.05 0.1 0.2 0.35\n",
+       "    b          (lev) float64 40B 0.9 0.7 0.45 0.2 0.03\n",
+       "    ps         (time, lat, lon) float32 5kB 8.639e+04 8.638e+04 ... 8.654e+04\n",
+       "    a_bnds     (lev, bnds) float64 80B 0.0 0.035 0.035 ... 0.275 0.275 0.45\n",
+       "    b_bnds     (lev, bnds) float64 80B 1.0 0.8 0.8 0.575 ... 0.115 0.115 0.0\n",
+       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
+       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
+       "    ta         (time, lev, lat, lon) float32 26kB 258.5 258.4 ... 209.9 210.0\n",
+       "Attributes:\n",
+       "    Conventions:           CF-1.12\n",
+       "    activity_id:           CMIP\n",
+       "    area_label:            u\n",
+       "    branded_variable:      ta_tavg-al-hxy-u\n",
+       "    branding_suffix:       tavg-al-hxy-u\n",
+       "    creation_date:         2026-05-30T00:14:11Z\n",
+       "    data_specs_version:    MIP-DS7.1.0.0\n",
+       "    description:           Simulation of the climate of the recent past with ...\n",
+       "    drs_specs:             MIP-DRS7\n",
+       "    experiment:            Simulation of the climate of the recent past with ...\n",
+       "    experiment_id:         amip\n",
+       "    external_variables:    areacella\n",
+       "    forcing_index:         f3\n",
+       "    frequency:             mon\n",
+       "    grid_label:            g999\n",
+       "    history:               2026-05-30T00:14:11Z ; CMOR rewrote data to be con...\n",
+       "    horizontal_label:      hxy\n",
+       "    host_collection:       CMIP7\n",
+       "    initialization_index:  i1\n",
+       "    institution:           Environment and Climate Change Canada\n",
+       "    institution_id:        CCCma\n",
+       "    license_id:            CC-BY-4.0\n",
+       "    mip_era:               CMIP7\n",
+       "    nominal_resolution:    100 km\n",
+       "    physics_index:         p1\n",
+       "    product:               model-output\n",
+       "    realization_index:     r9\n",
+       "    realm:                 atmos\n",
+       "    region:                glb\n",
+       "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
+       "    source_id:             DUMMY-MODEL\n",
+       "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
+       "    temporal_label:        tavg\n",
+       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
+       "    variable_id:           ta\n",
+       "    variant_label:         r9i1p1f3\n",
+       "    vertical_label:        al\n",
+       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+       "    cmor_version:          3.15.1\n",
+       "    tracking_id:           hdl:21.14107/66568989-9516-41a0-85b6-3182301a089e</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b7b34417-80f1-452f-af2f-bb67a5fca7e6' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-b7b34417-80f1-452f-af2f-bb67a5fca7e6' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lev</span>: 5</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div></li><li class='xr-section-item'><input id='section-7c0b069b-f3b0-453b-bcc8-9992e4835360' class='xr-section-summary-in' type='checkbox' checked /><label for='section-7c0b069b-f3b0-453b-bcc8-9992e4835360' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0</div><input id='attrs-f32616b6-10c4-42ec-b782-7b1347bc801f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f32616b6-10c4-42ec-b782-7b1347bc801f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-713f0590-e90e-48fb-8c82-95f963158acd' class='xr-var-data-in' type='checkbox'><label for='data-713f0590-e90e-48fb-8c82-95f963158acd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.95 0.75 0.5 0.25 0.05</div><input id='attrs-faded940-ebb5-4a40-9cdf-abdbe25c10c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-faded940-ebb5-4a40-9cdf-abdbe25c10c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c017461-6f6b-4045-811d-99823c8f4ada' class='xr-var-data-in' type='checkbox'><label for='data-1c017461-6f6b-4045-811d-99823c8f4ada' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lev_bnds</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>hybrid sigma pressure coordinate</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a b: b ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([0.95, 0.75, 0.5 , 0.25, 0.05])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-b73aec39-0c8c-4d13-9ea1-4191a86574ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b73aec39-0c8c-4d13-9ea1-4191a86574ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4dd4eb3c-423f-4309-a1d6-0fa164304606' class='xr-var-data-in' type='checkbox'><label for='data-4dd4eb3c-423f-4309-a1d6-0fa164304606' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
+       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-c30756f6-52d9-4436-be64-67d10ad43ba8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c30756f6-52d9-4436-be64-67d10ad43ba8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0c742a2-704a-46dd-9521-03e937d3d1e5' class='xr-var-data-in' type='checkbox'><label for='data-b0c742a2-704a-46dd-9521-03e937d3d1e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
+       "       125., 135., 145., 155., 165., 175., 185., 195., 205., 215., 225., 235.,\n",
+       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f1402bf8-ce2f-4508-8e0a-19817f56d511' class='xr-section-summary-in' type='checkbox' checked /><label for='section-f1402bf8-ce2f-4508-8e0a-19817f56d511' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0</div><input id='attrs-5dceece5-83fb-4f94-9682-0cf98caa794b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5dceece5-83fb-4f94-9682-0cf98caa794b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ea16ae4-630b-48f4-85a4-a58961f2301f' class='xr-var-data-in' type='checkbox'><label for='data-9ea16ae4-630b-48f4-85a4-a58961f2301f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
+       "       [30., 60.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lev_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.85 0.85 ... 0.125 0.125 0.0</div><input id='attrs-2be87b80-5e9f-43d3-98c6-683165175132' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2be87b80-5e9f-43d3-98c6-683165175132' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c1e7939-4425-486a-af39-d84790675bd1' class='xr-var-data-in' type='checkbox'><label for='data-5c1e7939-4425-486a-af39-d84790675bd1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a_bnds b: b_bnds ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([[1.   , 0.85 ],\n",
+       "       [0.85 , 0.625],\n",
+       "       [0.625, 0.375],\n",
+       "       [0.375, 0.125],\n",
+       "       [0.125, 0.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p0</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05</div><input id='attrs-4f0fc2bb-95d5-416f-90af-23638076795f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f0fc2bb-95d5-416f-90af-23638076795f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd9ad8e9-0bd5-4045-b7ef-9241cfdef73e' class='xr-var-data-in' type='checkbox'><label for='data-dd9ad8e9-0bd5-4045-b7ef-9241cfdef73e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>reference_air_pressure_for_atmosphere_vertical_coordinate</dd><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: reference pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array(100000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.02 0.05 0.1 0.2 0.35</div><input id='attrs-58eecc19-50c9-4a19-a354-c013d5d84bda' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58eecc19-50c9-4a19-a354-c013d5d84bda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15768b0f-1a3d-43d7-9243-f6f5e31a7e7f' class='xr-var-data-in' type='checkbox'><label for='data-15768b0f-1a3d-43d7-9243-f6f5e31a7e7f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a</dd></dl></div><div class='xr-var-data'><pre>array([0.02, 0.05, 0.1 , 0.2 , 0.35])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9 0.7 0.45 0.2 0.03</div><input id='attrs-61cd98ff-a5e1-4a29-a3ac-70a6fa1046b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61cd98ff-a5e1-4a29-a3ac-70a6fa1046b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30a9b6ff-1355-4692-8b69-356142e91f07' class='xr-var-data-in' type='checkbox'><label for='data-30a9b6ff-1355-4692-8b69-356142e91f07' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b</dd></dl></div><div class='xr-var-data'><pre>array([0.9 , 0.7 , 0.45, 0.2 , 0.03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ps</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>8.639e+04 8.638e+04 ... 8.654e+04</div><input id='attrs-e0d234ec-67a9-4f3c-9bab-4961eb8d51e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0d234ec-67a9-4f3c-9bab-4961eb8d51e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7cecb0ac-bcd7-4235-bfa1-f9b865de8e74' class='xr-var-data-in' type='checkbox'><label for='data-7cecb0ac-bcd7-4235-bfa1-f9b865de8e74' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>long_name :</span></dt><dd>Surface Air Pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array([[[86390.016, 86380.93 , 86363.05 , ..., 86363.05 , 86380.93 ,\n",
+       "         86390.016],\n",
+       "        [87102.7  , 87093.625, 87075.74 , ..., 87075.74 , 87093.625,\n",
+       "         87102.7  ],\n",
+       "        [88442.13 , 88433.055, 88415.164, ..., 88415.164, 88433.055,\n",
+       "         88442.13 ],\n",
+       "        ...,\n",
+       "        [88442.13 , 88433.055, 88415.164, ..., 88415.164, 88433.055,\n",
+       "         88442.13 ],\n",
+       "        [87102.7  , 87093.625, 87075.74 , ..., 87075.74 , 87093.625,\n",
+       "         87102.7  ],\n",
+       "        [86390.016, 86380.93 , 86363.05 , ..., 86363.05 , 86380.93 ,\n",
+       "         86390.016]],\n",
+       "\n",
+       "       [[86540.016, 86530.93 , 86513.05 , ..., 86513.05 , 86530.93 ,\n",
+       "         86540.016],\n",
+       "        [87252.7  , 87243.625, 87225.74 , ..., 87225.74 , 87243.625,\n",
+       "         87252.7  ],\n",
+       "        [88592.13 , 88583.055, 88565.164, ..., 88565.164, 88583.055,\n",
+       "         88592.13 ],\n",
+       "        ...,\n",
+       "        [88592.13 , 88583.055, 88565.164, ..., 88565.164, 88583.055,\n",
+       "         88592.13 ],\n",
+       "        [87252.7  , 87243.625, 87225.74 , ..., 87225.74 , 87243.625,\n",
+       "         87252.7  ],\n",
+       "        [86540.016, 86530.93 , 86513.05 , ..., 86513.05 , 86530.93 ,\n",
+       "         86540.016]]], shape=(2, 18, 36), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.035 0.035 ... 0.275 0.45</div><input id='attrs-40c208b6-a76e-408c-889d-955e291a25db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40c208b6-a76e-408c-889d-955e291a25db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae56b31e-f478-4d29-9b7b-cf38ed540d01' class='xr-var-data-in' type='checkbox'><label for='data-ae56b31e-f478-4d29-9b7b-cf38ed540d01' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[0.   , 0.035],\n",
+       "       [0.035, 0.075],\n",
+       "       [0.075, 0.15 ],\n",
+       "       [0.15 , 0.275],\n",
+       "       [0.275, 0.45 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.8 0.8 ... 0.115 0.115 0.0</div><input id='attrs-d85f5dc5-1d71-4dbc-a5bc-df6791249d2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d85f5dc5-1d71-4dbc-a5bc-df6791249d2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06fac33c-ecc3-44d5-b20a-d546f1696632' class='xr-var-data-in' type='checkbox'><label for='data-06fac33c-ecc3-44d5-b20a-d546f1696632' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[1.   , 0.8  ],\n",
+       "       [0.8  , 0.575],\n",
+       "       [0.575, 0.325],\n",
+       "       [0.325, 0.115],\n",
+       "       [0.115, 0.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-20adef13-4aab-4f0b-8882-81d7b1aef132' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-20adef13-4aab-4f0b-8882-81d7b1aef132' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-403d46c9-7488-4a7e-a033-ba222fdd3803' class='xr-var-data-in' type='checkbox'><label for='data-403d46c9-7488-4a7e-a033-ba222fdd3803' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
+       "       [-80., -70.],\n",
+       "       [-70., -60.],\n",
+       "       [-60., -50.],\n",
+       "       [-50., -40.],\n",
+       "       [-40., -30.],\n",
+       "       [-30., -20.],\n",
+       "       [-20., -10.],\n",
+       "       [-10.,   0.],\n",
+       "       [  0.,  10.],\n",
+       "       [ 10.,  20.],\n",
+       "       [ 20.,  30.],\n",
+       "       [ 30.,  40.],\n",
+       "       [ 40.,  50.],\n",
+       "       [ 50.,  60.],\n",
+       "       [ 60.,  70.],\n",
+       "       [ 70.,  80.],\n",
+       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-922a82b0-f001-4cf2-ab26-2aac354aa408' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-922a82b0-f001-4cf2-ab26-2aac354aa408' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-111f15f4-d434-47dc-933d-ec2f7253d40c' class='xr-var-data-in' type='checkbox'><label for='data-111f15f4-d434-47dc-933d-ec2f7253d40c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
+       "       [ 10.,  20.],\n",
+       "       [ 20.,  30.],\n",
+       "       [ 30.,  40.],\n",
+       "       [ 40.,  50.],\n",
+       "       [ 50.,  60.],\n",
+       "       [ 60.,  70.],\n",
+       "       [ 70.,  80.],\n",
+       "       [ 80.,  90.],\n",
+       "       [ 90., 100.],\n",
+       "       [100., 110.],\n",
+       "       [110., 120.],\n",
+       "       [120., 130.],\n",
+       "       [130., 140.],\n",
+       "       [140., 150.],\n",
+       "       [150., 160.],\n",
+       "       [160., 170.],\n",
+       "       [170., 180.],\n",
+       "       [180., 190.],\n",
+       "       [190., 200.],\n",
+       "       [200., 210.],\n",
+       "       [210., 220.],\n",
+       "       [220., 230.],\n",
+       "       [230., 240.],\n",
+       "       [240., 250.],\n",
+       "       [250., 260.],\n",
+       "       [260., 270.],\n",
+       "       [270., 280.],\n",
+       "       [280., 290.],\n",
+       "       [290., 300.],\n",
+       "       [300., 310.],\n",
+       "       [310., 320.],\n",
+       "       [320., 330.],\n",
+       "       [330., 340.],\n",
+       "       [340., 350.],\n",
+       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>258.5 258.4 258.4 ... 209.9 210.0</div><input id='attrs-009a3672-d997-4f21-86d6-e8a9cd7dff48' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-009a3672-d997-4f21-86d6-e8a9cd7dff48' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12912ac3-2d98-4d2e-bdc0-6b7405191c64' class='xr-var-data-in' type='checkbox'><label for='data-12912ac3-2d98-4d2e-bdc0-6b7405191c64' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[258.4741 , 258.44382, 258.3842 , ..., 258.3842 , 258.44382,\n",
+       "          258.4741 ],\n",
+       "         [260.25583, 260.22556, 260.16592, ..., 260.16592, 260.22556,\n",
+       "          260.25583],\n",
+       "         [263.60437, 263.5741 , 263.5145 , ..., 263.5145 , 263.5741 ,\n",
+       "          263.60437],\n",
+       "         ...,\n",
+       "         [263.60437, 263.5741 , 263.5145 , ..., 263.5145 , 263.5741 ,\n",
+       "          263.60437],\n",
+       "         [260.25583, 260.22556, 260.16592, ..., 260.16592, 260.22556,\n",
+       "          260.25583],\n",
+       "         [258.4741 , 258.44382, 258.3842 , ..., 258.3842 , 258.44382,\n",
+       "          258.4741 ]],\n",
+       "\n",
+       "        [[247.47408, 247.44382, 247.38419, ..., 247.38419, 247.44382,\n",
+       "          247.47408],\n",
+       "         [249.25581, 249.22554, 249.16592, ..., 249.16592, 249.22554,\n",
+       "          249.25581],\n",
+       "         [252.60439, 252.57411, 252.5145 , ..., 252.5145 , 252.57411,\n",
+       "          252.60439],\n",
+       "...\n",
+       "         [226.10439, 226.07411, 226.0145 , ..., 226.0145 , 226.07411,\n",
+       "          226.10439],\n",
+       "         [222.75581, 222.72554, 222.66592, ..., 222.66592, 222.72554,\n",
+       "          222.75581],\n",
+       "         [220.97408, 220.94382, 220.88419, ..., 220.88419, 220.94382,\n",
+       "          220.97408]],\n",
+       "\n",
+       "        [[209.97408, 209.94382, 209.88419, ..., 209.88419, 209.94382,\n",
+       "          209.97408],\n",
+       "         [211.75581, 211.72554, 211.66592, ..., 211.66592, 211.72554,\n",
+       "          211.75581],\n",
+       "         [215.10439, 215.07411, 215.0145 , ..., 215.0145 , 215.07411,\n",
+       "          215.10439],\n",
+       "         ...,\n",
+       "         [215.10439, 215.07411, 215.0145 , ..., 215.0145 , 215.07411,\n",
+       "          215.10439],\n",
+       "         [211.75581, 211.72554, 211.66592, ..., 211.66592, 211.72554,\n",
+       "          211.75581],\n",
+       "         [209.97408, 209.94382, 209.88419, ..., 209.88419, 209.94382,\n",
+       "          209.97408]]]], shape=(2, 5, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ba43d316-e720-4c5d-9bb2-85eec0486013' class='xr-section-summary-in' type='checkbox' checked /><label for='section-ba43d316-e720-4c5d-9bb2-85eec0486013' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>ta_tavg-al-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-al-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-30T00:14:11Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-30T00:14:11Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>variable_id :</span></dt><dd>ta</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>al</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/66568989-9516-41a0-85b6-3182301a089e</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 33kB\n",
+       "Dimensions:    (time: 2, bnds: 2, lev: 5, lat: 18, lon: 36)\n",
+       "Coordinates:\n",
+       "  * time       (time) float64 16B 15.0 45.0\n",
+       "  * lev        (lev) float64 40B 0.95 0.75 0.5 0.25 0.05\n",
+       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
+       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) float64 32B 0.0 30.0 30.0 60.0\n",
+       "    lev_bnds   (lev, bnds) float64 80B 1.0 0.85 0.85 0.625 ... 0.125 0.125 0.0\n",
+       "    p0         float64 8B 1e+05\n",
+       "    a          (lev) float64 40B 0.02 0.05 0.1 0.2 0.35\n",
+       "    b          (lev) float64 40B 0.9 0.7 0.45 0.2 0.03\n",
+       "    ps         (time, lat, lon) float32 5kB 8.639e+04 8.638e+04 ... 8.654e+04\n",
+       "    a_bnds     (lev, bnds) float64 80B 0.0 0.035 0.035 ... 0.275 0.275 0.45\n",
+       "    b_bnds     (lev, bnds) float64 80B 1.0 0.8 0.8 0.575 ... 0.115 0.115 0.0\n",
+       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
+       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
+       "    ta         (time, lev, lat, lon) float32 26kB 258.5 258.4 ... 209.9 210.0\n",
+       "Attributes:\n",
+       "    Conventions:           CF-1.12\n",
+       "    activity_id:           CMIP\n",
+       "    area_label:            u\n",
+       "    branded_variable:      ta_tavg-al-hxy-u\n",
+       "    branding_suffix:       tavg-al-hxy-u\n",
+       "    creation_date:         2026-05-30T00:14:11Z\n",
+       "    data_specs_version:    MIP-DS7.1.0.0\n",
+       "    description:           Simulation of the climate of the recent past with ...\n",
+       "    drs_specs:             MIP-DRS7\n",
+       "    experiment:            Simulation of the climate of the recent past with ...\n",
+       "    experiment_id:         amip\n",
+       "    external_variables:    areacella\n",
+       "    forcing_index:         f3\n",
+       "    frequency:             mon\n",
+       "    grid_label:            g999\n",
+       "    history:               2026-05-30T00:14:11Z ; CMOR rewrote data to be con...\n",
+       "    horizontal_label:      hxy\n",
+       "    host_collection:       CMIP7\n",
+       "    initialization_index:  i1\n",
+       "    institution:           Environment and Climate Change Canada\n",
+       "    institution_id:        CCCma\n",
+       "    license_id:            CC-BY-4.0\n",
+       "    mip_era:               CMIP7\n",
+       "    nominal_resolution:    100 km\n",
+       "    physics_index:         p1\n",
+       "    product:               model-output\n",
+       "    realization_index:     r9\n",
+       "    realm:                 atmos\n",
+       "    region:                glb\n",
+       "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
+       "    source_id:             DUMMY-MODEL\n",
+       "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
+       "    temporal_label:        tavg\n",
+       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
+       "    variable_id:           ta\n",
+       "    variant_label:         r9i1p1f3\n",
+       "    vertical_label:        al\n",
+       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+       "    cmor_version:          3.15.1\n",
+       "    tracking_id:           hdl:21.14107/66568989-9516-41a0-85b6-3182301a089e"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
     "with xr.open_dataset(netcdf_path, decode_times=False) as opened:\n",
     "    ds = opened.load()\n",
     "\n",
-    "with xr.set_options(display_expand_attrs=True, display_max_rows=80):\n",
-    "    print(ds)\n"
+    "with xr.set_options(\n",
+    "    display_style=\"html\",\n",
+    "    display_expand_attrs=True,\n",
+    "    display_expand_coords=True,\n",
+    "    display_expand_data_vars=True,\n",
+    "    display_max_rows=80,\n",
+    "):\n",
+    "    display(ds)"
    ]
   },
   {
@@ -291,10 +1039,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T23:16:09.887780Z",
-     "iopub.status.busy": "2026-05-29T23:16:09.887697Z",
-     "iopub.status.idle": "2026-05-29T23:16:10.024011Z",
-     "shell.execute_reply": "2026-05-29T23:16:10.023659Z"
+     "iopub.execute_input": "2026-05-30T00:14:11.709442Z",
+     "iopub.status.busy": "2026-05-30T00:14:11.709355Z",
+     "iopub.status.idle": "2026-05-30T00:14:11.846575Z",
+     "shell.execute_reply": "2026-05-30T00:14:11.846073Z"
     }
    },
    "outputs": [
diff --git a/notebooks/05_curvilinear_ocean_grid.ipynb b/notebooks/05_curvilinear_ocean_grid.ipynb
index ed2c0b53..e1f219af 100644
--- a/notebooks/05_curvilinear_ocean_grid.ipynb
+++ b/notebooks/05_curvilinear_ocean_grid.ipynb
@@ -14,10 +14,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T23:16:10.937210Z",
-     "iopub.status.busy": "2026-05-29T23:16:10.937031Z",
-     "iopub.status.idle": "2026-05-29T23:16:11.450867Z",
-     "shell.execute_reply": "2026-05-29T23:16:11.450405Z"
+     "iopub.execute_input": "2026-05-30T00:14:12.709151Z",
+     "iopub.status.busy": "2026-05-30T00:14:12.709028Z",
+     "iopub.status.idle": "2026-05-30T00:14:13.195503Z",
+     "shell.execute_reply": "2026-05-30T00:14:13.195034Z"
     }
    },
    "outputs": [
@@ -35,6 +35,7 @@
     "import shutil\n",
     "\n",
     "import cmor\n",
+    "from IPython.display import display\n",
     "import matplotlib.pyplot as plt\n",
     "from mpl_toolkits.basemap import Basemap\n",
     "import numpy as np\n",
@@ -55,10 +56,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T23:16:11.452520Z",
-     "iopub.status.busy": "2026-05-29T23:16:11.452357Z",
-     "iopub.status.idle": "2026-05-29T23:16:11.471219Z",
-     "shell.execute_reply": "2026-05-29T23:16:11.470811Z"
+     "iopub.execute_input": "2026-05-30T00:14:13.197014Z",
+     "iopub.status.busy": "2026-05-30T00:14:13.196874Z",
+     "iopub.status.idle": "2026-05-30T00:14:13.215944Z",
+     "shell.execute_reply": "2026-05-30T00:14:13.215512Z"
     }
    },
    "outputs": [
@@ -154,10 +155,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T23:16:11.472535Z",
-     "iopub.status.busy": "2026-05-29T23:16:11.472455Z",
-     "iopub.status.idle": "2026-05-29T23:16:11.546782Z",
-     "shell.execute_reply": "2026-05-29T23:16:11.546334Z"
+     "iopub.execute_input": "2026-05-30T00:14:13.217262Z",
+     "iopub.status.busy": "2026-05-30T00:14:13.217169Z",
+     "iopub.status.idle": "2026-05-30T00:14:13.289051Z",
+     "shell.execute_reply": "2026-05-30T00:14:13.288605Z"
     }
    },
    "outputs": [
@@ -220,81 +221,878 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T23:16:11.548013Z",
-     "iopub.status.busy": "2026-05-29T23:16:11.547941Z",
-     "iopub.status.idle": "2026-05-29T23:16:11.661665Z",
-     "shell.execute_reply": "2026-05-29T23:16:11.661168Z"
+     "iopub.execute_input": "2026-05-30T00:14:13.290229Z",
+     "iopub.status.busy": "2026-05-30T00:14:13.290155Z",
+     "iopub.status.idle": "2026-05-30T00:14:13.416285Z",
+     "shell.execute_reply": "2026-05-30T00:14:13.415901Z"
     }
    },
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<xarray.Dataset> Size: 58kB\n",
-      "Dimensions:             (time: 2, bnds: 2, y: 18, x: 36, vertices: 4)\n",
-      "Coordinates:\n",
-      "  * time                (time) float64 16B 15.0 45.0\n",
-      "  * y                   (y) float64 144B 0.0 1.0 2.0 3.0 ... 14.0 15.0 16.0 17.0\n",
-      "  * x                   (x) float64 288B 0.0 1.0 2.0 3.0 ... 32.0 33.0 34.0 35.0\n",
-      "    latitude            (y, x) float64 5kB -84.99 -84.97 -84.94 ... 84.97 84.99\n",
-      "    longitude           (y, x) float64 5kB 3.506 13.51 23.51 ... 346.5 356.5\n",
-      "Dimensions without coordinates: bnds, vertices\n",
-      "Data variables:\n",
-      "    time_bnds           (time, bnds) float64 32B 0.0 30.0 30.0 60.0\n",
-      "    vertices_latitude   (y, x, vertices) float64 21kB -90.0 -90.0 ... 90.0 90.0\n",
-      "    vertices_longitude  (y, x, vertices) float64 21kB 358.5 8.5 ... 1.5 351.5\n",
-      "    tos                 (time, y, x) float32 5kB -8.312 -8.349 ... -7.549 -7.512\n",
-      "Attributes:\n",
-      "    Conventions:           CF-1.12\n",
-      "    activity_id:           CMIP\n",
-      "    area_label:            sea\n",
-      "    branded_variable:      tos_tavg-u-hxy-sea\n",
-      "    branding_suffix:       tavg-u-hxy-sea\n",
-      "    creation_date:         2026-05-29T23:16:11Z\n",
-      "    data_specs_version:    MIP-DS7.1.0.0\n",
-      "    description:           Simulation of the climate of the recent past with ...\n",
-      "    drs_specs:             MIP-DRS7\n",
-      "    experiment:            Simulation of the climate of the recent past with ...\n",
-      "    experiment_id:         amip\n",
-      "    external_variables:    areacello\n",
-      "    forcing_index:         f3\n",
-      "    frequency:             mon\n",
-      "    grid_label:            g999\n",
-      "    history:               2026-05-29T23:16:11Z ; CMOR rewrote data to be con...\n",
-      "    horizontal_label:      hxy\n",
-      "    host_collection:       CMIP7\n",
-      "    initialization_index:  i1\n",
-      "    institution:           Environment and Climate Change Canada\n",
-      "    institution_id:        CCCma\n",
-      "    license_id:            CC-BY-4.0\n",
-      "    mip_era:               CMIP7\n",
-      "    nominal_resolution:    100 km\n",
-      "    physics_index:         p1\n",
-      "    product:               model-output\n",
-      "    realization_index:     r9\n",
-      "    realm:                 ocean\n",
-      "    region:                glb\n",
-      "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
-      "    source_id:             DUMMY-MODEL\n",
-      "    table_info:            Name: CMIP7_ocean.json; Creation Date:(2026-04-21 ...\n",
-      "    temporal_label:        tavg\n",
-      "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-      "    tracking_id:           hdl:21.14107/1855e6cc-3076-40fa-95b0-8891ab8f2c20\n",
-      "    variable_id:           tos\n",
-      "    variant_label:         r9i1p1f3\n",
-      "    vertical_label:        u\n",
-      "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-      "    cmor_version:          3.15.1\n"
-     ]
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+       "\n",
+       ".xr-header {\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "  margin-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-obj-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-group-box-contents > label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "  display: block;\n",
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+       ".xr-sections {\n",
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+       "\n",
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+       "  display: contents;\n",
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+       "\n",
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+       ".xr-group-box-contents > input,\n",
+       ".xr-array-wrap > input {\n",
+       "  display: block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input + label,\n",
+       ".xr-var-item > input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label,\n",
+       ".xr-var-item > input:enabled + label,\n",
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+       ".xr-group-box-contents > input:enabled + label {\n",
+       "  cursor: pointer;\n",
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+       "}\n",
+       "\n",
+       ".xr-section-item > input:focus-visible + label,\n",
+       ".xr-var-item > input:focus-visible + label,\n",
+       ".xr-array-wrap > input:focus-visible + label,\n",
+       ".xr-group-box-contents > input:focus-visible + label {\n",
+       "  outline: auto;\n",
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+       "\n",
+       ".xr-section-item > input:enabled + label:hover,\n",
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+       ".xr-array-wrap > input:enabled + label:hover,\n",
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+       "\n",
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+       "  grid-column: 1 / -1;\n",
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+       "\n",
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+       "\n",
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+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 0px 30px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-vline {\n",
+       "  grid-column-start: 1;\n",
+       "  border-right: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "  width: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-hline {\n",
+       "  grid-column-start: 2;\n",
+       "  grid-row-start: 1;\n",
+       "  height: 1em;\n",
+       "  width: 26px;\n",
+       "  border-bottom: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents {\n",
+       "  grid-column-start: 3;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > label::before {\n",
+       "  content: \"📂\";\n",
+       "  padding-right: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label::before {\n",
+       "  content: \"📁\";\n",
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+       "\n",
+       ".xr-group-box-contents > input:checked + label {\n",
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+       "  color: var(--xr-font-color2);\n",
+       "  letter-spacing: 0.15em;\n",
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+       "\n",
+       ".xr-array-wrap {\n",
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+       "\n",
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+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
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+       "\n",
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+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
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+       "\n",
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+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
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+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
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+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
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+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
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+       "  padding-left: 25px !important;\n",
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+       "\n",
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+       "\n",
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+       "\n",
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+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 58kB\n",
+       "Dimensions:             (time: 2, bnds: 2, y: 18, x: 36, vertices: 4)\n",
+       "Coordinates:\n",
+       "  * time                (time) float64 16B 15.0 45.0\n",
+       "  * y                   (y) float64 144B 0.0 1.0 2.0 3.0 ... 14.0 15.0 16.0 17.0\n",
+       "  * x                   (x) float64 288B 0.0 1.0 2.0 3.0 ... 32.0 33.0 34.0 35.0\n",
+       "    latitude            (y, x) float64 5kB -84.99 -84.97 -84.94 ... 84.97 84.99\n",
+       "    longitude           (y, x) float64 5kB 3.506 13.51 23.51 ... 346.5 356.5\n",
+       "Dimensions without coordinates: bnds, vertices\n",
+       "Data variables:\n",
+       "    time_bnds           (time, bnds) float64 32B 0.0 30.0 30.0 60.0\n",
+       "    vertices_latitude   (y, x, vertices) float64 21kB -90.0 -90.0 ... 90.0 90.0\n",
+       "    vertices_longitude  (y, x, vertices) float64 21kB 358.5 8.5 ... 1.5 351.5\n",
+       "    tos                 (time, y, x) float32 5kB -8.312 -8.349 ... -7.549 -7.512\n",
+       "Attributes:\n",
+       "    Conventions:           CF-1.12\n",
+       "    activity_id:           CMIP\n",
+       "    area_label:            sea\n",
+       "    branded_variable:      tos_tavg-u-hxy-sea\n",
+       "    branding_suffix:       tavg-u-hxy-sea\n",
+       "    creation_date:         2026-05-30T00:14:13Z\n",
+       "    data_specs_version:    MIP-DS7.1.0.0\n",
+       "    description:           Simulation of the climate of the recent past with ...\n",
+       "    drs_specs:             MIP-DRS7\n",
+       "    experiment:            Simulation of the climate of the recent past with ...\n",
+       "    experiment_id:         amip\n",
+       "    external_variables:    areacello\n",
+       "    forcing_index:         f3\n",
+       "    frequency:             mon\n",
+       "    grid_label:            g999\n",
+       "    history:               2026-05-30T00:14:13Z ; CMOR rewrote data to be con...\n",
+       "    horizontal_label:      hxy\n",
+       "    host_collection:       CMIP7\n",
+       "    initialization_index:  i1\n",
+       "    institution:           Environment and Climate Change Canada\n",
+       "    institution_id:        CCCma\n",
+       "    license_id:            CC-BY-4.0\n",
+       "    mip_era:               CMIP7\n",
+       "    nominal_resolution:    100 km\n",
+       "    physics_index:         p1\n",
+       "    product:               model-output\n",
+       "    realization_index:     r9\n",
+       "    realm:                 ocean\n",
+       "    region:                glb\n",
+       "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
+       "    source_id:             DUMMY-MODEL\n",
+       "    table_info:            Name: CMIP7_ocean.json; Creation Date:(2026-04-21 ...\n",
+       "    temporal_label:        tavg\n",
+       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
+       "    tracking_id:           hdl:21.14107/4503abaf-ec95-4eca-90bc-32947b98344e\n",
+       "    variable_id:           tos\n",
+       "    variant_label:         r9i1p1f3\n",
+       "    vertical_label:        u\n",
+       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0bc38d21-c78a-4da8-98e2-4a208d2816c6' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-0bc38d21-c78a-4da8-98e2-4a208d2816c6' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>y</span>: 18</li><li><span class='xr-has-index'>x</span>: 36</li><li><span>vertices</span>: 4</li></ul></div></li><li class='xr-section-item'><input id='section-90982b87-bfd5-41db-bb7c-e9b783ee9888' class='xr-section-summary-in' type='checkbox' checked /><label for='section-90982b87-bfd5-41db-bb7c-e9b783ee9888' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0</div><input id='attrs-9baa5680-8441-4928-934e-f1a51e07c7b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9baa5680-8441-4928-934e-f1a51e07c7b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-244a8939-aeaf-4726-ab48-189910cc489b' class='xr-var-data-in' type='checkbox'><label for='data-244a8939-aeaf-4726-ab48-189910cc489b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 15.0 16.0 17.0</div><input id='attrs-49e04825-b9a3-49c4-bc35-d246487a5a62' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49e04825-b9a3-49c4-bc35-d246487a5a62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9b663b7-857a-46cf-9c53-30c615ea74be' class='xr-var-data-in' type='checkbox'><label for='data-e9b663b7-857a-46cf-9c53-30c615ea74be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
+       "       14., 15., 16., 17.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 33.0 34.0 35.0</div><input id='attrs-8ee2e9be-fd70-4f60-89c6-e6ffb1914594' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ee2e9be-fd70-4f60-89c6-e6ffb1914594' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81307e84-29aa-49c6-a3e8-c244f8acb05a' class='xr-var-data-in' type='checkbox'><label for='data-81307e84-29aa-49c6-a3e8-c244f8acb05a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
+       "       14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27.,\n",
+       "       28., 29., 30., 31., 32., 33., 34., 35.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-84.99 -84.97 ... 84.97 84.99</div><input id='attrs-efb89973-dc58-40d0-99ac-50b9db8a15be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-efb89973-dc58-40d0-99ac-50b9db8a15be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cc2fcf1-d344-4010-b5f0-de33308bf9d4' class='xr-var-data-in' type='checkbox'><label for='data-5cc2fcf1-d344-4010-b5f0-de33308bf9d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>bounds :</span></dt><dd>vertices_latitude</dd></dl></div><div class='xr-var-data'><pre>array([[-84.98860581, -84.96616365, -84.94474959, -84.92501428,\n",
+       "        -84.90755737, -84.89290929, -84.88151511, -84.87372103,\n",
+       "        -84.86976387, -84.86976387, -84.87372103, -84.88151511,\n",
+       "        -84.89290929, -84.90755737, -84.92501428, -84.94474959,\n",
+       "        -84.96616365, -84.98860581, -85.01139419, -85.03383635,\n",
+       "        -85.05525041, -85.07498572, -85.09244263, -85.10709071,\n",
+       "        -85.11848489, -85.12627897, -85.13023613, -85.13023613,\n",
+       "        -85.12627897, -85.11848489, -85.10709071, -85.09244263,\n",
+       "        -85.07498572, -85.05525041, -85.03383635, -85.01139419],\n",
+       "       [-74.96616365, -74.89951905, -74.83592752, -74.77732124,\n",
+       "        -74.72548095, -74.68198178, -74.64814543, -74.625     ,\n",
+       "        -74.61324876, -74.61324876, -74.625     , -74.64814543,\n",
+       "        -74.68198178, -74.72548095, -74.77732124, -74.83592752,\n",
+       "        -74.89951905, -74.96616365, -75.03383635, -75.10048095,\n",
+       "        -75.16407248, -75.22267876, -75.27451905, -75.31801822,\n",
+       "        -75.35185457, -75.375     , -75.38675124, -75.38675124,\n",
+       "        -75.375     , -75.35185457, -75.31801822, -75.27451905,\n",
+       "        -75.22267876, -75.16407248, -75.10048095, -75.03383635],\n",
+       "       [-64.94474959, -64.83592752, -64.73209071, -64.63639419,\n",
+       "        -64.55174564, -64.48071708, -64.42546667, -64.38767316,\n",
+       "...\n",
+       "         64.38767316,  64.42546667,  64.48071708,  64.55174564,\n",
+       "         64.63639419,  64.73209071,  64.83592752,  64.94474959],\n",
+       "       [ 75.03383635,  75.10048095,  75.16407248,  75.22267876,\n",
+       "         75.27451905,  75.31801822,  75.35185457,  75.375     ,\n",
+       "         75.38675124,  75.38675124,  75.375     ,  75.35185457,\n",
+       "         75.31801822,  75.27451905,  75.22267876,  75.16407248,\n",
+       "         75.10048095,  75.03383635,  74.96616365,  74.89951905,\n",
+       "         74.83592752,  74.77732124,  74.72548095,  74.68198178,\n",
+       "         74.64814543,  74.625     ,  74.61324876,  74.61324876,\n",
+       "         74.625     ,  74.64814543,  74.68198178,  74.72548095,\n",
+       "         74.77732124,  74.83592752,  74.89951905,  74.96616365],\n",
+       "       [ 85.01139419,  85.03383635,  85.05525041,  85.07498572,\n",
+       "         85.09244263,  85.10709071,  85.11848489,  85.12627897,\n",
+       "         85.13023613,  85.13023613,  85.12627897,  85.11848489,\n",
+       "         85.10709071,  85.09244263,  85.07498572,  85.05525041,\n",
+       "         85.03383635,  85.01139419,  84.98860581,  84.96616365,\n",
+       "         84.94474959,  84.92501428,  84.90755737,  84.89290929,\n",
+       "         84.88151511,  84.87372103,  84.86976387,  84.86976387,\n",
+       "         84.87372103,  84.88151511,  84.89290929,  84.90755737,\n",
+       "         84.92501428,  84.94474959,  84.96616365,  84.98860581]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.506 13.51 23.51 ... 346.5 356.5</div><input id='attrs-db590971-845a-40e3-83aa-8302b3835859' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db590971-845a-40e3-83aa-8302b3835859' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2bd8b46-b90b-4747-8578-f05f4da73f09' class='xr-var-data-in' type='checkbox'><label for='data-a2bd8b46-b90b-4747-8578-f05f4da73f09' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>bounds :</span></dt><dd>vertices_longitude</dd></dl></div><div class='xr-var-data'><pre>array([[  3.50570795,  13.50570795,  23.50570795,  33.50570795,\n",
+       "         43.50570795,  53.50570795,  63.50570795,  73.50570795,\n",
+       "         83.50570795,  93.50570795, 103.50570795, 113.50570795,\n",
+       "        123.50570795, 133.50570795, 143.50570795, 153.50570795,\n",
+       "        163.50570795, 173.50570795, 183.50570795, 193.50570795,\n",
+       "        203.50570795, 213.50570795, 223.50570795, 233.50570795,\n",
+       "        243.50570795, 253.50570795, 263.50570795, 273.50570795,\n",
+       "        283.50570795, 293.50570795, 303.50570795, 313.50570795,\n",
+       "        323.50570795, 333.50570795, 343.50570795, 353.50570795],\n",
+       "       [  3.55111126,  13.55111126,  23.55111126,  33.55111126,\n",
+       "         43.55111126,  53.55111126,  63.55111126,  73.55111126,\n",
+       "         83.55111126,  93.55111126, 103.55111126, 113.55111126,\n",
+       "        123.55111126, 133.55111126, 143.55111126, 153.55111126,\n",
+       "        163.55111126, 173.55111126, 183.55111126, 193.55111126,\n",
+       "        203.55111126, 213.55111126, 223.55111126, 233.55111126,\n",
+       "        243.55111126, 253.55111126, 263.55111126, 273.55111126,\n",
+       "        283.55111126, 293.55111126, 303.55111126, 313.55111126,\n",
+       "        323.55111126, 333.55111126, 343.55111126, 353.55111126],\n",
+       "       [  3.64053832,  13.64053832,  23.64053832,  33.64053832,\n",
+       "         43.64053832,  53.64053832,  63.64053832,  73.64053832,\n",
+       "...\n",
+       "        286.35946168, 296.35946168, 306.35946168, 316.35946168,\n",
+       "        326.35946168, 336.35946168, 346.35946168, 356.35946168],\n",
+       "       [  6.44888874,  16.44888874,  26.44888874,  36.44888874,\n",
+       "         46.44888874,  56.44888874,  66.44888874,  76.44888874,\n",
+       "         86.44888874,  96.44888874, 106.44888874, 116.44888874,\n",
+       "        126.44888874, 136.44888874, 146.44888874, 156.44888874,\n",
+       "        166.44888874, 176.44888874, 186.44888874, 196.44888874,\n",
+       "        206.44888874, 216.44888874, 226.44888874, 236.44888874,\n",
+       "        246.44888874, 256.44888874, 266.44888874, 276.44888874,\n",
+       "        286.44888874, 296.44888874, 306.44888874, 316.44888874,\n",
+       "        326.44888874, 336.44888874, 346.44888874, 356.44888874],\n",
+       "       [  6.49429205,  16.49429205,  26.49429205,  36.49429205,\n",
+       "         46.49429205,  56.49429205,  66.49429205,  76.49429205,\n",
+       "         86.49429205,  96.49429205, 106.49429205, 116.49429205,\n",
+       "        126.49429205, 136.49429205, 146.49429205, 156.49429205,\n",
+       "        166.49429205, 176.49429205, 186.49429205, 196.49429205,\n",
+       "        206.49429205, 216.49429205, 226.49429205, 236.49429205,\n",
+       "        246.49429205, 256.49429205, 266.49429205, 276.49429205,\n",
+       "        286.49429205, 296.49429205, 306.49429205, 316.49429205,\n",
+       "        326.49429205, 336.49429205, 346.49429205, 356.49429205]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-33ac48b7-8f79-4793-8c75-e5012071796f' class='xr-section-summary-in' type='checkbox' checked /><label for='section-33ac48b7-8f79-4793-8c75-e5012071796f' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0</div><input id='attrs-8fc87222-1cb9-4e13-8b18-d9cc49abe917' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8fc87222-1cb9-4e13-8b18-d9cc49abe917' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-93e0509d-752c-4fcf-a8d9-ca1b2285c3bc' class='xr-var-data-in' type='checkbox'><label for='data-93e0509d-752c-4fcf-a8d9-ca1b2285c3bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
+       "       [30., 60.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_latitude</span></div><div class='xr-var-dims'>(y, x, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -90.0 -79.95 ... 90.0 90.0</div><input id='attrs-8863f7ce-0800-490c-8b41-6751511a7b96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8863f7ce-0800-490c-8b41-6751511a7b96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c59c2cf5-c467-432a-9dab-e52b249c581c' class='xr-var-data-in' type='checkbox'><label for='data-c59c2cf5-c467-432a-9dab-e52b249c581c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[[-90.        , -90.        , -79.95476947, -80.        ],\n",
+       "        [-90.        , -90.        , -79.91091324, -79.95476947],\n",
+       "        [-90.        , -90.        , -79.86976387, -79.91091324],\n",
+       "        ...,\n",
+       "        [-90.        , -90.        , -80.08908676, -80.13023613],\n",
+       "        [-90.        , -90.        , -80.04523053, -80.08908676],\n",
+       "        [-90.        , -90.        , -80.        , -80.04523053]],\n",
+       "\n",
+       "       [[-80.        , -79.95476947, -69.91091324, -70.        ],\n",
+       "        [-79.95476947, -79.91091324, -69.82453333, -69.91091324],\n",
+       "        [-79.91091324, -79.86976387, -69.74348489, -69.82453333],\n",
+       "        ...,\n",
+       "        [-80.13023613, -80.08908676, -70.17546667, -70.25651511],\n",
+       "        [-80.08908676, -80.04523053, -70.08908676, -70.17546667],\n",
+       "        [-80.04523053, -80.        , -70.        , -70.08908676]],\n",
+       "\n",
+       "       [[-70.        , -69.91091324, -59.86976387, -60.        ],\n",
+       "        [-69.91091324, -69.82453333, -59.74348489, -59.86976387],\n",
+       "        [-69.82453333, -69.74348489, -59.625     , -59.74348489],\n",
+       "        ...,\n",
+       "...\n",
+       "        [ 59.625     ,  59.74348489,  69.82453333,  69.74348489],\n",
+       "        [ 59.74348489,  59.86976387,  69.91091324,  69.82453333],\n",
+       "        [ 59.86976387,  60.        ,  70.        ,  69.91091324]],\n",
+       "\n",
+       "       [[ 70.        ,  70.08908676,  80.04523053,  80.        ],\n",
+       "        [ 70.08908676,  70.17546667,  80.08908676,  80.04523053],\n",
+       "        [ 70.17546667,  70.25651511,  80.13023613,  80.08908676],\n",
+       "        ...,\n",
+       "        [ 69.74348489,  69.82453333,  79.91091324,  79.86976387],\n",
+       "        [ 69.82453333,  69.91091324,  79.95476947,  79.91091324],\n",
+       "        [ 69.91091324,  70.        ,  80.        ,  79.95476947]],\n",
+       "\n",
+       "       [[ 80.        ,  80.04523053,  90.        ,  90.        ],\n",
+       "        [ 80.04523053,  80.08908676,  90.        ,  90.        ],\n",
+       "        [ 80.08908676,  80.13023613,  90.        ,  90.        ],\n",
+       "        ...,\n",
+       "        [ 79.86976387,  79.91091324,  90.        ,  90.        ],\n",
+       "        [ 79.91091324,  79.95476947,  90.        ,  90.        ],\n",
+       "        [ 79.95476947,  80.        ,  90.        ,  90.        ]]],\n",
+       "      shape=(18, 36, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_longitude</span></div><div class='xr-var-dims'>(y, x, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>358.5 8.5 8.523 ... 1.477 1.5 351.5</div><input id='attrs-2bb646d8-8b1b-4065-a2d8-57eccfb0c763' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2bb646d8-8b1b-4065-a2d8-57eccfb0c763' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-578053c5-582b-4d16-87e0-d8f87f31f125' class='xr-var-data-in' type='checkbox'><label for='data-578053c5-582b-4d16-87e0-d8f87f31f125' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[[358.5       ,   8.5       ,   8.52278837, 358.52278837],\n",
+       "        [  8.5       ,  18.5       ,  18.52278837,   8.52278837],\n",
+       "        [ 18.5       ,  28.5       ,  28.52278837,  18.52278837],\n",
+       "        ...,\n",
+       "        [328.5       , 338.5       , 338.52278837, 328.52278837],\n",
+       "        [338.5       , 348.5       , 348.52278837, 338.52278837],\n",
+       "        [348.5       , 358.5       , 358.52278837, 348.52278837]],\n",
+       "\n",
+       "       [[358.52278837,   8.52278837,   8.59046107, 358.59046107],\n",
+       "        [  8.52278837,  18.52278837,  18.59046107,   8.59046107],\n",
+       "        [ 18.52278837,  28.52278837,  28.59046107,  18.59046107],\n",
+       "        ...,\n",
+       "        [328.52278837, 338.52278837, 338.59046107, 328.59046107],\n",
+       "        [338.52278837, 348.52278837, 348.59046107, 338.59046107],\n",
+       "        [348.52278837, 358.52278837, 358.59046107, 348.59046107]],\n",
+       "\n",
+       "       [[358.59046107,   8.59046107,   8.70096189, 358.70096189],\n",
+       "        [  8.59046107,  18.59046107,  18.70096189,   8.70096189],\n",
+       "        [ 18.59046107,  28.59046107,  28.70096189,  18.70096189],\n",
+       "        ...,\n",
+       "...\n",
+       "        [331.29903811, 341.29903811, 341.40953893, 331.40953893],\n",
+       "        [341.29903811, 351.29903811, 351.40953893, 341.40953893],\n",
+       "        [351.29903811,   1.29903811,   1.40953893, 351.40953893]],\n",
+       "\n",
+       "       [[  1.40953893,  11.40953893,  11.47721163,   1.47721163],\n",
+       "        [ 11.40953893,  21.40953893,  21.47721163,  11.47721163],\n",
+       "        [ 21.40953893,  31.40953893,  31.47721163,  21.47721163],\n",
+       "        ...,\n",
+       "        [331.40953893, 341.40953893, 341.47721163, 331.47721163],\n",
+       "        [341.40953893, 351.40953893, 351.47721163, 341.47721163],\n",
+       "        [351.40953893,   1.40953893,   1.47721163, 351.47721163]],\n",
+       "\n",
+       "       [[  1.47721163,  11.47721163,  11.5       ,   1.5       ],\n",
+       "        [ 11.47721163,  21.47721163,  21.5       ,  11.5       ],\n",
+       "        [ 21.47721163,  31.47721163,  31.5       ,  21.5       ],\n",
+       "        ...,\n",
+       "        [331.47721163, 341.47721163, 341.5       , 331.5       ],\n",
+       "        [341.47721163, 351.47721163, 351.5       , 341.5       ],\n",
+       "        [351.47721163,   1.47721163,   1.5       , 351.5       ]]],\n",
+       "      shape=(18, 36, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-8.312 -8.349 ... -7.549 -7.512</div><input id='attrs-60e1f85c-0d99-4d94-bc3b-83e485e28176' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60e1f85c-0d99-4d94-bc3b-83e485e28176' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad47af87-b8eb-4396-8dae-31bb3f959a12' class='xr-var-data-in' type='checkbox'><label for='data-ad47af87-b8eb-4396-8dae-31bb3f959a12' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd></dl></div><div class='xr-var-data'><pre>array([[[-8.312039 , -8.349005 , -8.430357 , ..., -8.471792 ,\n",
+       "         -8.37438  , -8.320584 ],\n",
+       "        [-6.820808 , -6.8450875, -6.914289 , ..., -7.0179367,\n",
+       "         -6.9085636, -6.842183 ],\n",
+       "        [-4.0193896, -4.022181 , -4.0708275, ..., -4.280002 ,\n",
+       "         -4.150284 , -4.0625277],\n",
+       "        ...,\n",
+       "        [-4.0625277, -4.150284 , -4.280002 , ..., -4.0708275,\n",
+       "         -4.022181 , -4.0193896],\n",
+       "        [-6.842183 , -6.9085636, -7.0179367, ..., -6.914289 ,\n",
+       "         -6.8450875, -6.820808 ],\n",
+       "        [-8.320584 , -8.37438  , -8.471792 , ..., -8.430357 ,\n",
+       "         -8.349005 , -8.312039 ]],\n",
+       "\n",
+       "       [[-7.5120397, -7.5490046, -7.6303573, ..., -7.671792 ,\n",
+       "         -7.57438  , -7.5205846],\n",
+       "        [-6.020808 , -6.0450873, -6.1142893, ..., -6.217937 ,\n",
+       "         -6.1085634, -6.0421834],\n",
+       "        [-3.2193897, -3.2221808, -3.2708275, ..., -3.480002 ,\n",
+       "         -3.350284 , -3.2625277],\n",
+       "        ...,\n",
+       "        [-3.2625277, -3.350284 , -3.480002 , ..., -3.2708275,\n",
+       "         -3.2221808, -3.2193897],\n",
+       "        [-6.0421834, -6.1085634, -6.217937 , ..., -6.1142893,\n",
+       "         -6.0450873, -6.020808 ],\n",
+       "        [-7.5205846, -7.57438  , -7.671792 , ..., -7.6303573,\n",
+       "         -7.5490046, -7.5120397]]], shape=(2, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ef5e22f7-3272-4c7e-9d81-4235fc7c07ec' class='xr-section-summary-in' type='checkbox' checked /><label for='section-ef5e22f7-3272-4c7e-9d81-4235fc7c07ec' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>tos_tavg-u-hxy-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-sea</dd><dt><span>creation_date :</span></dt><dd>2026-05-30T00:14:13Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacello</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-30T00:14:13Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/4503abaf-ec95-4eca-90bc-32947b98344e</dd><dt><span>variable_id :</span></dt><dd>tos</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 58kB\n",
+       "Dimensions:             (time: 2, bnds: 2, y: 18, x: 36, vertices: 4)\n",
+       "Coordinates:\n",
+       "  * time                (time) float64 16B 15.0 45.0\n",
+       "  * y                   (y) float64 144B 0.0 1.0 2.0 3.0 ... 14.0 15.0 16.0 17.0\n",
+       "  * x                   (x) float64 288B 0.0 1.0 2.0 3.0 ... 32.0 33.0 34.0 35.0\n",
+       "    latitude            (y, x) float64 5kB -84.99 -84.97 -84.94 ... 84.97 84.99\n",
+       "    longitude           (y, x) float64 5kB 3.506 13.51 23.51 ... 346.5 356.5\n",
+       "Dimensions without coordinates: bnds, vertices\n",
+       "Data variables:\n",
+       "    time_bnds           (time, bnds) float64 32B 0.0 30.0 30.0 60.0\n",
+       "    vertices_latitude   (y, x, vertices) float64 21kB -90.0 -90.0 ... 90.0 90.0\n",
+       "    vertices_longitude  (y, x, vertices) float64 21kB 358.5 8.5 ... 1.5 351.5\n",
+       "    tos                 (time, y, x) float32 5kB -8.312 -8.349 ... -7.549 -7.512\n",
+       "Attributes:\n",
+       "    Conventions:           CF-1.12\n",
+       "    activity_id:           CMIP\n",
+       "    area_label:            sea\n",
+       "    branded_variable:      tos_tavg-u-hxy-sea\n",
+       "    branding_suffix:       tavg-u-hxy-sea\n",
+       "    creation_date:         2026-05-30T00:14:13Z\n",
+       "    data_specs_version:    MIP-DS7.1.0.0\n",
+       "    description:           Simulation of the climate of the recent past with ...\n",
+       "    drs_specs:             MIP-DRS7\n",
+       "    experiment:            Simulation of the climate of the recent past with ...\n",
+       "    experiment_id:         amip\n",
+       "    external_variables:    areacello\n",
+       "    forcing_index:         f3\n",
+       "    frequency:             mon\n",
+       "    grid_label:            g999\n",
+       "    history:               2026-05-30T00:14:13Z ; CMOR rewrote data to be con...\n",
+       "    horizontal_label:      hxy\n",
+       "    host_collection:       CMIP7\n",
+       "    initialization_index:  i1\n",
+       "    institution:           Environment and Climate Change Canada\n",
+       "    institution_id:        CCCma\n",
+       "    license_id:            CC-BY-4.0\n",
+       "    mip_era:               CMIP7\n",
+       "    nominal_resolution:    100 km\n",
+       "    physics_index:         p1\n",
+       "    product:               model-output\n",
+       "    realization_index:     r9\n",
+       "    realm:                 ocean\n",
+       "    region:                glb\n",
+       "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
+       "    source_id:             DUMMY-MODEL\n",
+       "    table_info:            Name: CMIP7_ocean.json; Creation Date:(2026-04-21 ...\n",
+       "    temporal_label:        tavg\n",
+       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
+       "    tracking_id:           hdl:21.14107/4503abaf-ec95-4eca-90bc-32947b98344e\n",
+       "    variable_id:           tos\n",
+       "    variant_label:         r9i1p1f3\n",
+       "    vertical_label:        u\n",
+       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+       "    cmor_version:          3.15.1"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
     "with xr.open_dataset(netcdf_path, decode_times=False) as opened:\n",
     "    ds = opened.load()\n",
     "\n",
-    "with xr.set_options(display_expand_attrs=True, display_max_rows=80):\n",
-    "    print(ds)\n"
+    "with xr.set_options(\n",
+    "    display_style=\"html\",\n",
+    "    display_expand_attrs=True,\n",
+    "    display_expand_coords=True,\n",
+    "    display_expand_data_vars=True,\n",
+    "    display_max_rows=80,\n",
+    "):\n",
+    "    display(ds)"
    ]
   },
   {
@@ -302,10 +1100,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-29T23:16:11.662966Z",
-     "iopub.status.busy": "2026-05-29T23:16:11.662887Z",
-     "iopub.status.idle": "2026-05-29T23:16:11.799907Z",
-     "shell.execute_reply": "2026-05-29T23:16:11.799439Z"
+     "iopub.execute_input": "2026-05-30T00:14:13.417657Z",
+     "iopub.status.busy": "2026-05-30T00:14:13.417559Z",
+     "iopub.status.idle": "2026-05-30T00:14:13.552079Z",
+     "shell.execute_reply": "2026-05-30T00:14:13.551561Z"
     }
    },
    "outputs": [

From 752b4765d16118638998095c0c084268c48e5468 Mon Sep 17 00:00:00 2001
From: Chris Mauzey <mauzey1@llnl.gov>
Date: Fri, 29 May 2026 17:20:01 -0700
Subject: [PATCH 13/25] Add NetCDF file for example 6 data

---
 .../ice_conc_nh_ease2-250_cdr-v3p1_202002.nc   | Bin 0 -> 938044 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 notebooks/data/ice_conc_nh_ease2-250_cdr-v3p1_202002.nc

diff --git a/notebooks/data/ice_conc_nh_ease2-250_cdr-v3p1_202002.nc b/notebooks/data/ice_conc_nh_ease2-250_cdr-v3p1_202002.nc
new file mode 100644
index 0000000000000000000000000000000000000000..322cb34e5c76d87995f6c223cc599717df87ba6e
GIT binary patch
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literal 0
HcmV?d00001


From cedd614bfea472f3919524ca7c5301ebf4438bf0 Mon Sep 17 00:00:00 2001
From: Chris Mauzey <mauzey1@llnl.gov>
Date: Fri, 29 May 2026 17:22:21 -0700
Subject: [PATCH 14/25] Do not ignore NetCDF files used as example data

---
 .gitignore | 1 +
 1 file changed, 1 insertion(+)

diff --git a/.gitignore b/.gitignore
index ef42177f..3037e45f 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,6 +1,7 @@
 *.[oa]
 *~
 *.nc
+!notebooks/data/*.nc
 *.pyc
 *.gcno
 *.gcda

From aaedd9cb587017e2ee245a8624249684d08c7aff Mon Sep 17 00:00:00 2001
From: Chris Mauzey <mauzey1@llnl.gov>
Date: Fri, 29 May 2026 17:37:05 -0700
Subject: [PATCH 15/25] Add southern hemisphere data to example 6

---
 ...06_non_lat_lon_sea_ice_concentration.ipynb | 344 ++++++++++--------
 notebooks/README.md                           |   2 +-
 .../ice_conc_sh_ease2-250_cdr-v3p1_202002.nc  | Bin 0 -> 903425 bytes
 3 files changed, 195 insertions(+), 151 deletions(-)
 create mode 100644 notebooks/data/ice_conc_sh_ease2-250_cdr-v3p1_202002.nc

diff --git a/notebooks/06_non_lat_lon_sea_ice_concentration.ipynb b/notebooks/06_non_lat_lon_sea_ice_concentration.ipynb
index c6c4b4c0..f5415b1f 100644
--- a/notebooks/06_non_lat_lon_sea_ice_concentration.ipynb
+++ b/notebooks/06_non_lat_lon_sea_ice_concentration.ipynb
@@ -5,9 +5,9 @@
    "id": "ec48bf48",
    "metadata": {},
    "source": [
-    "# Sea Ice Concentration On A Projected Grid\n",
+    "# Sea Ice Concentration On Projected Grids\n",
     "\n",
-    "Create a CMIP7 monthly sea-ice area percentage file (`siconc_tavg-u-hxy-u`) using the Northern Hemisphere EASE2 Lambert azimuthal equal-area grid from `data/ice_conc_nh_ease2-250_cdr-v3p1_202002.nc`."
+    "Create CMIP7 monthly sea-ice area percentage files (`siconc_tavg-u-hxy-u`) using the Northern and Southern Hemisphere EASE2 Lambert azimuthal equal-area grids from the NetCDF files in `data/`."
    ]
   },
   {
@@ -16,10 +16,10 @@
    "id": "afaab710",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T00:10:03.810664Z",
-     "iopub.status.busy": "2026-05-30T00:10:03.810475Z",
-     "iopub.status.idle": "2026-05-30T00:10:04.304314Z",
-     "shell.execute_reply": "2026-05-30T00:10:04.303814Z"
+     "iopub.execute_input": "2026-05-30T00:32:14.616341Z",
+     "iopub.status.busy": "2026-05-30T00:32:14.616165Z",
+     "iopub.status.idle": "2026-05-30T00:32:15.116147Z",
+     "shell.execute_reply": "2026-05-30T00:32:15.115761Z"
     }
    },
    "outputs": [
@@ -52,13 +52,17 @@
     "\n",
     "TABLES_DIR = \"../cmip7-cmor-tables/tables\"\n",
     "CV_PATH = \"../cmip7-cmor-tables/tables-cvs/cmor-cvs.json\"\n",
-    "DATA_PATH = Path(\"data\") / \"ice_conc_nh_ease2-250_cdr-v3p1_202002.nc\"\n",
+    "DATA_PATHS = {\n",
+    "    \"nh\": Path(\"data\") / \"ice_conc_nh_ease2-250_cdr-v3p1_202002.nc\",\n",
+    "    \"sh\": Path(\"data\") / \"ice_conc_sh_ease2-250_cdr-v3p1_202002.nc\",\n",
+    "}\n",
     "if not Path(TABLES_DIR).exists():\n",
     "    raise FileNotFoundError(f\"CMIP7 tables directory not found: {TABLES_DIR}\")\n",
     "if not Path(CV_PATH).exists():\n",
     "    raise FileNotFoundError(f\"CMIP7 CV file not found: {CV_PATH}\")\n",
-    "if not DATA_PATH.exists():\n",
-    "    raise FileNotFoundError(f\"Source data file not found: {DATA_PATH}\")\n",
+    "for data_path in DATA_PATHS.values():\n",
+    "    if not data_path.exists():\n",
+    "        raise FileNotFoundError(f\"Source data file not found: {data_path}\")\n",
     "\n",
     "print(f\"Using CMIP7 tables from {TABLES_DIR}\")"
    ]
@@ -69,10 +73,10 @@
    "id": "5edce0e9",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T00:10:04.305653Z",
-     "iopub.status.busy": "2026-05-30T00:10:04.305521Z",
-     "iopub.status.idle": "2026-05-30T00:10:04.439282Z",
-     "shell.execute_reply": "2026-05-30T00:10:04.438735Z"
+     "iopub.execute_input": "2026-05-30T00:32:15.117463Z",
+     "iopub.status.busy": "2026-05-30T00:32:15.117350Z",
+     "iopub.status.idle": "2026-05-30T00:32:15.267249Z",
+     "shell.execute_reply": "2026-05-30T00:32:15.266831Z"
     }
    },
    "outputs": [
@@ -80,7 +84,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "(1, 432, 432) (432, 432) (432, 432, 4)\n"
+      "nh (1, 432, 432) (432, 432) (432, 432, 4)\n",
+      "sh (1, 432, 432) (432, 432) (432, 432, 4)\n"
      ]
     }
    ],
@@ -91,7 +96,7 @@
     "output_dir = run_dir / \"cmor_output\"\n",
     "output_dir.mkdir(parents=True)\n",
     "\n",
-    "DATASET_INFO = {\n",
+    "DATASET_INFO_BASE = {\n",
     "    \"_AXIS_ENTRY_FILE\": \"CMIP7_coordinate.json\",\n",
     "    \"_FORMULA_VAR_FILE\": \"CMIP7_formula_terms.json\",\n",
     "    \"_cmip7_option\": 1,\n",
@@ -109,66 +114,79 @@
     "    \"license_id\": \"CC-BY-4.0\",\n",
     "    \"mip_era\": \"CMIP7\",\n",
     "    \"nominal_resolution\": \"25 km\",\n",
-    "    \"outpath\": str(output_dir),\n",
     "    \"physics_index\": \"p1\",\n",
     "    \"realization_index\": \"r9\",\n",
-    "    \"region\": \"nh\",\n",
     "    \"source_id\": \"DUMMY-MODEL\",\n",
     "    \"tracking_prefix\": \"hdl:21.14107\",\n",
     "}\n",
-    "input_json = run_dir / \"input.json\"\n",
-    "input_json.write_text(json.dumps(DATASET_INFO, indent=2, sort_keys=True))\n",
     "\n",
-    "with xr.open_dataset(DATA_PATH, decode_times=False) as opened:\n",
-    "    source = opened.load()\n",
     "\n",
-    "x = (source[\"xc\"].values * 1000.0).astype(\"f8\")\n",
-    "y = (source[\"yc\"].values[::-1] * 1000.0).astype(\"f8\")\n",
-    "latitude = source[\"lat\"].values[::-1, :].T.astype(\"f8\")\n",
-    "longitude = (source[\"lon\"].values[::-1, :].T % 360.0).astype(\"f8\")\n",
+    "def cell_edges(values):\n",
+    "    return np.concatenate(\n",
+    "        ([values[0] - 0.5 * (values[1] - values[0])], 0.5 * (values[:-1] + values[1:]), [values[-1] + 0.5 * (values[-1] - values[-2])])\n",
+    "    )\n",
     "\n",
-    "missing_value = np.float32(1.0e20)\n",
-    "ice_conc = source[\"ice_conc\"].isel(time=0).values[::-1, :].T.astype(\"f4\")\n",
-    "siconc = np.where(np.isfinite(ice_conc), ice_conc, missing_value).astype(\"f4\")[None, :, :]\n",
     "\n",
-    "time = source[\"time\"].values.astype(\"f8\")\n",
-    "time_bnds = source[\"time_bnds\"].values.astype(\"f8\").reshape(2)\n",
-    "time_units = source[\"time\"].attrs[\"units\"]\n",
+    "def prepare_ease2_source(data_path):\n",
+    "    with xr.open_dataset(data_path, decode_times=False) as opened:\n",
+    "        source = opened.load()\n",
     "\n",
-    "x_edges = np.concatenate(\n",
-    "    ([x[0] - 0.5 * (x[1] - x[0])], 0.5 * (x[:-1] + x[1:]), [x[-1] + 0.5 * (x[-1] - x[-2])])\n",
-    ")\n",
-    "y_edges = np.concatenate(\n",
-    "    ([y[0] - 0.5 * (y[1] - y[0])], 0.5 * (y[:-1] + y[1:]), [y[-1] + 0.5 * (y[-1] - y[-2])])\n",
-    ")\n",
+    "    x = (source[\"xc\"].values * 1000.0).astype(\"f8\")\n",
+    "    y = (source[\"yc\"].values[::-1] * 1000.0).astype(\"f8\")\n",
+    "    latitude = source[\"lat\"].values[::-1, :].T.astype(\"f8\")\n",
+    "    longitude = (source[\"lon\"].values[::-1, :].T % 360.0).astype(\"f8\")\n",
     "\n",
-    "mapping_attrs = source[\"Lambert_Azimuthal_Grid\"].attrs\n",
-    "crs = pyproj.CRS.from_proj4(mapping_attrs[\"proj4_string\"])\n",
-    "transformer = pyproj.Transformer.from_crs(crs, crs.geodetic_crs, always_xy=True)\n",
-    "latitude_vertices = np.empty((*latitude.shape, 4), dtype=\"f8\")\n",
-    "longitude_vertices = np.empty((*longitude.shape, 4), dtype=\"f8\")\n",
-    "for vertex, (x_vertex, y_vertex) in enumerate(\n",
-    "    [\n",
-    "        (x_edges[:-1][:, None], y_edges[:-1][None, :]),\n",
-    "        (x_edges[1:][:, None], y_edges[:-1][None, :]),\n",
-    "        (x_edges[1:][:, None], y_edges[1:][None, :]),\n",
-    "        (x_edges[:-1][:, None], y_edges[1:][None, :]),\n",
-    "    ]\n",
-    "):\n",
-    "    lon_vertex, lat_vertex = transformer.transform(x_vertex, y_vertex)\n",
-    "    latitude_vertices[:, :, vertex] = lat_vertex\n",
-    "    longitude_vertices[:, :, vertex] = lon_vertex % 360.0\n",
+    "    missing_value = np.float32(1.0e20)\n",
+    "    ice_conc = source[\"ice_conc\"].isel(time=0).values[::-1, :].T.astype(\"f4\")\n",
+    "    siconc = np.where(np.isfinite(ice_conc), ice_conc, missing_value).astype(\"f4\")[None, :, :]\n",
     "\n",
-    "CRS_PARAMS = {\n",
-    "    \"latitude_of_projection_origin\": [float(mapping_attrs[\"latitude_of_projection_origin\"]), \"degrees_north\"],\n",
-    "    \"longitude_of_projection_origin\": [float(mapping_attrs[\"longitude_of_projection_origin\"]), \"degrees_east\"],\n",
-    "    \"false_easting\": [float(mapping_attrs[\"false_easting\"]), \"m\"],\n",
-    "    \"false_northing\": [float(mapping_attrs[\"false_northing\"]), \"m\"],\n",
-    "    \"semi_major_axis\": [float(mapping_attrs[\"semi_major_axis\"]), \"m\"],\n",
-    "    \"inverse_flattening\": [float(mapping_attrs[\"inverse_flattening\"]), \"\"],\n",
-    "}\n",
+    "    x_edges = cell_edges(x)\n",
+    "    y_edges = cell_edges(y)\n",
+    "    mapping_attrs = source[\"Lambert_Azimuthal_Grid\"].attrs\n",
+    "    source_crs = pyproj.CRS.from_proj4(mapping_attrs[\"proj4_string\"])\n",
+    "    transformer = pyproj.Transformer.from_crs(source_crs, source_crs.geodetic_crs, always_xy=True)\n",
+    "    latitude_vertices = np.empty((*latitude.shape, 4), dtype=\"f8\")\n",
+    "    longitude_vertices = np.empty((*longitude.shape, 4), dtype=\"f8\")\n",
+    "    for vertex, (x_vertex, y_vertex) in enumerate(\n",
+    "        [\n",
+    "            (x_edges[:-1][:, None], y_edges[:-1][None, :]),\n",
+    "            (x_edges[1:][:, None], y_edges[:-1][None, :]),\n",
+    "            (x_edges[1:][:, None], y_edges[1:][None, :]),\n",
+    "            (x_edges[:-1][:, None], y_edges[1:][None, :]),\n",
+    "        ]\n",
+    "    ):\n",
+    "        lon_vertex, lat_vertex = transformer.transform(x_vertex, y_vertex)\n",
+    "        latitude_vertices[:, :, vertex] = lat_vertex\n",
+    "        longitude_vertices[:, :, vertex] = lon_vertex % 360.0\n",
+    "\n",
+    "    crs_params = {\n",
+    "        \"latitude_of_projection_origin\": [float(mapping_attrs[\"latitude_of_projection_origin\"]), \"degrees_north\"],\n",
+    "        \"longitude_of_projection_origin\": [float(mapping_attrs[\"longitude_of_projection_origin\"]), \"degrees_east\"],\n",
+    "        \"false_easting\": [float(mapping_attrs[\"false_easting\"]), \"m\"],\n",
+    "        \"false_northing\": [float(mapping_attrs[\"false_northing\"]), \"m\"],\n",
+    "        \"semi_major_axis\": [float(mapping_attrs[\"semi_major_axis\"]), \"m\"],\n",
+    "        \"inverse_flattening\": [float(mapping_attrs[\"inverse_flattening\"]), \"\"],\n",
+    "    }\n",
     "\n",
-    "print(siconc.shape, latitude.shape, latitude_vertices.shape)"
+    "    return {\n",
+    "        \"x\": x,\n",
+    "        \"y\": y,\n",
+    "        \"latitude\": latitude,\n",
+    "        \"longitude\": longitude,\n",
+    "        \"latitude_vertices\": latitude_vertices,\n",
+    "        \"longitude_vertices\": longitude_vertices,\n",
+    "        \"siconc\": siconc,\n",
+    "        \"missing_value\": missing_value,\n",
+    "        \"time\": source[\"time\"].values.astype(\"f8\"),\n",
+    "        \"time_bnds\": source[\"time_bnds\"].values.astype(\"f8\").reshape(2),\n",
+    "        \"time_units\": source[\"time\"].attrs[\"units\"],\n",
+    "        \"crs_params\": crs_params,\n",
+    "    }\n",
+    "\n",
+    "\n",
+    "prepared_sources = {region: prepare_ease2_source(data_path) for region, data_path in DATA_PATHS.items()}\n",
+    "for region, prepared in prepared_sources.items():\n",
+    "    print(region, prepared[\"siconc\"].shape, prepared[\"latitude\"].shape, prepared[\"latitude_vertices\"].shape)"
    ]
   },
   {
@@ -177,10 +195,10 @@
    "id": "b7ca0a5a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T00:10:04.440691Z",
-     "iopub.status.busy": "2026-05-30T00:10:04.440587Z",
-     "iopub.status.idle": "2026-05-30T00:10:04.573723Z",
-     "shell.execute_reply": "2026-05-30T00:10:04.573260Z"
+     "iopub.execute_input": "2026-05-30T00:32:15.268537Z",
+     "iopub.status.busy": "2026-05-30T00:32:15.268441Z",
+     "iopub.status.idle": "2026-05-30T00:32:15.515326Z",
+     "shell.execute_reply": "2026-05-30T00:32:15.514950Z"
     }
    },
    "outputs": [
@@ -188,55 +206,69 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "output/06_non_lat_lon_sea_ice_concentration/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/nh/mon/siconc/tavg-u-hxy-u/g999/v20260529/siconc_tavg-u-hxy-u_mon_nh_g999_DUMMY-MODEL_amip_r9i1p1f3_202002-202002.nc\n"
+      "nh output/06_non_lat_lon_sea_ice_concentration/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/nh/mon/siconc/tavg-u-hxy-u/g999/v20260529/siconc_tavg-u-hxy-u_mon_nh_g999_DUMMY-MODEL_amip_r9i1p1f3_202002-202002.nc\n",
+      "sh output/06_non_lat_lon_sea_ice_concentration/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/sh/mon/siconc/tavg-u-hxy-u/g999/v20260529/siconc_tavg-u-hxy-u_mon_sh_g999_DUMMY-MODEL_amip_r9i1p1f3_202002-202002.nc\n"
      ]
     }
    ],
    "source": [
-    "cmor.setup(\n",
-    "    inpath=TABLES_DIR,\n",
-    "    netcdf_file_action=cmor.CMOR_REPLACE,\n",
-    "    logfile=str(run_dir / \"cmor.log\"),\n",
-    ")\n",
-    "cmor.dataset_json(str(input_json))\n",
+    "def table_lookup(table_name, section_name, compound_name):\n",
+    "    with open(Path(TABLES_DIR) / table_name) as handle:\n",
+    "        return json.load(handle)[section_name].get(compound_name)\n",
+    "\n",
     "\n",
-    "grid_table = cmor.load_table(\"CMIP7_grids.json\")\n",
-    "seaice_table = cmor.load_table(\"CMIP7_seaIce.json\")\n",
+    "def write_cmor_siconc(region, prepared):\n",
+    "    dataset_info = dict(DATASET_INFO_BASE)\n",
+    "    dataset_info.update({\"outpath\": str(output_dir), \"region\": region})\n",
+    "    input_json = run_dir / f\"input_{region}.json\"\n",
+    "    input_json.write_text(json.dumps(dataset_info, indent=2, sort_keys=True))\n",
     "\n",
-    "cmor.set_table(grid_table)\n",
-    "x_id = cmor.axis(\"x\", coord_vals=x, units=\"m\")\n",
-    "y_id = cmor.axis(\"y\", coord_vals=y, units=\"m\")\n",
-    "grid_id = cmor.grid(\n",
-    "    axis_ids=[x_id, y_id],\n",
-    "    latitude=latitude,\n",
-    "    longitude=longitude,\n",
-    "    latitude_vertices=latitude_vertices,\n",
-    "    longitude_vertices=longitude_vertices,\n",
-    ")\n",
-    "cmor.set_crs(grid_id, \"lambert_azimuthal_equal_area\", CRS_PARAMS)\n",
+    "    cmor.setup(\n",
+    "        inpath=TABLES_DIR,\n",
+    "        netcdf_file_action=cmor.CMOR_REPLACE,\n",
+    "        logfile=str(run_dir / f\"cmor_{region}.log\"),\n",
+    "    )\n",
+    "    cmor.dataset_json(str(input_json))\n",
     "\n",
-    "cmor.set_table(seaice_table)\n",
-    "time_id = cmor.axis(\"time\", coord_vals=time, cell_bounds=time_bnds, units=time_units)\n",
+    "    grid_table = cmor.load_table(\"CMIP7_grids.json\")\n",
+    "    seaice_table = cmor.load_table(\"CMIP7_seaIce.json\")\n",
     "\n",
-    "variable_name = \"siconc_tavg-u-hxy-u\"\n",
-    "siconc_id = cmor.variable(variable_name, \"%\", [time_id, grid_id], missing_value=missing_value)\n",
-    "compound_name = \".\".join([\"seaIce\"] + variable_name.split(\"_\") + [\"mon\", \"nh\"])\n",
+    "    cmor.set_table(grid_table)\n",
+    "    x_id = cmor.axis(\"x\", coord_vals=prepared[\"x\"], units=\"m\")\n",
+    "    y_id = cmor.axis(\"y\", coord_vals=prepared[\"y\"], units=\"m\")\n",
+    "    grid_id = cmor.grid(\n",
+    "        axis_ids=[x_id, y_id],\n",
+    "        latitude=prepared[\"latitude\"],\n",
+    "        longitude=prepared[\"longitude\"],\n",
+    "        latitude_vertices=prepared[\"latitude_vertices\"],\n",
+    "        longitude_vertices=prepared[\"longitude_vertices\"],\n",
+    "    )\n",
+    "    cmor.set_crs(grid_id, \"lambert_azimuthal_equal_area\", prepared[\"crs_params\"])\n",
     "\n",
-    "with open(Path(TABLES_DIR) / \"CMIP7_cell_measures.json\") as handle:\n",
-    "    cell_measure = json.load(handle)[\"cell_measures\"].get(compound_name)\n",
-    "if cell_measure:\n",
-    "    cmor.set_variable_attribute(siconc_id, \"cell_measures\", \"c\", cell_measure)\n",
+    "    cmor.set_table(seaice_table)\n",
+    "    time_id = cmor.axis(\"time\", coord_vals=prepared[\"time\"], cell_bounds=prepared[\"time_bnds\"], units=prepared[\"time_units\"])\n",
     "\n",
-    "with open(Path(TABLES_DIR) / \"CMIP7_long_name_overrides.json\") as handle:\n",
-    "    long_name = json.load(handle)[\"long_name_overrides\"].get(compound_name)\n",
-    "if long_name:\n",
-    "    cmor.set_variable_attribute(siconc_id, \"long_name\", \"c\", long_name)\n",
+    "    variable_name = \"siconc_tavg-u-hxy-u\"\n",
+    "    siconc_id = cmor.variable(variable_name, \"%\", [time_id, grid_id], missing_value=prepared[\"missing_value\"])\n",
+    "    compound_name = \".\".join([\"seaIce\"] + variable_name.split(\"_\") + [\"mon\", region])\n",
     "\n",
-    "cmor.write(siconc_id, siconc)\n",
-    "netcdf_path = Path(cmor.close(siconc_id, file_name=True))\n",
-    "cmor.close()\n",
+    "    cell_measure = table_lookup(\"CMIP7_cell_measures.json\", \"cell_measures\", compound_name)\n",
+    "    if cell_measure:\n",
+    "        cmor.set_variable_attribute(siconc_id, \"cell_measures\", \"c\", cell_measure)\n",
     "\n",
-    "print(netcdf_path.resolve().relative_to(Path.cwd().resolve()))"
+    "    long_name = table_lookup(\"CMIP7_long_name_overrides.json\", \"long_name_overrides\", compound_name)\n",
+    "    if long_name:\n",
+    "        cmor.set_variable_attribute(siconc_id, \"long_name\", \"c\", long_name)\n",
+    "\n",
+    "    cmor.write(siconc_id, prepared[\"siconc\"])\n",
+    "    netcdf_path = Path(cmor.close(siconc_id, file_name=True))\n",
+    "    cmor.close()\n",
+    "    return netcdf_path\n",
+    "\n",
+    "\n",
+    "netcdf_paths = {region: write_cmor_siconc(region, prepared) for region, prepared in prepared_sources.items()}\n",
+    "for region, netcdf_path in netcdf_paths.items():\n",
+    "    print(region, netcdf_path.resolve().relative_to(Path.cwd().resolve()))"
    ]
   },
   {
@@ -245,10 +277,10 @@
    "id": "c016fff2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T00:10:04.574969Z",
-     "iopub.status.busy": "2026-05-30T00:10:04.574885Z",
-     "iopub.status.idle": "2026-05-30T00:10:04.610947Z",
-     "shell.execute_reply": "2026-05-30T00:10:04.610519Z"
+     "iopub.execute_input": "2026-05-30T00:32:15.516639Z",
+     "iopub.status.busy": "2026-05-30T00:32:15.516548Z",
+     "iopub.status.idle": "2026-05-30T00:32:15.556935Z",
+     "shell.execute_reply": "2026-05-30T00:32:15.556577Z"
     }
    },
    "outputs": [
@@ -818,7 +850,7 @@
        "    area_label:            u\n",
        "    branded_variable:      siconc_tavg-u-hxy-u\n",
        "    branding_suffix:       tavg-u-hxy-u\n",
-       "    creation_date:         2026-05-30T00:10:04Z\n",
+       "    creation_date:         2026-05-30T00:32:15Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -827,7 +859,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-30T00:10:04Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-05-30T00:32:15Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -846,14 +878,14 @@
        "    table_info:            Name: CMIP7_seaIce.json; Creation Date:(2026-04-21...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/8895eb06-4048-4a24-ae1e-a0b9b178a824\n",
+       "    tracking_id:           hdl:21.14107/32ecfc05-e324-455b-ad3d-9beae5c9a02f\n",
        "    variable_id:           siconc\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0ba8daaf-bb3d-402d-a886-a08bd8307581' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-0ba8daaf-bb3d-402d-a886-a08bd8307581' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>x</span>: 432</li><li><span class='xr-has-index'>y</span>: 432</li><li><span>vertices</span>: 4</li></ul></div></li><li class='xr-section-item'><input id='section-a79d6fe2-bec9-4241-a70c-9213043858c1' class='xr-section-summary-in' type='checkbox' checked /><label for='section-a79d6fe2-bec9-4241-a70c-9213043858c1' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.539e+04</div><input id='attrs-eb66d806-463d-4511-a9e5-257d9c4ccd92' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb66d806-463d-4511-a9e5-257d9c4ccd92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-488e57af-8aed-449c-9df4-f2257ae73525' class='xr-var-data-in' type='checkbox'><label for='data-488e57af-8aed-449c-9df4-f2257ae73525' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1978-01-01</dd><dt><span>calendar :</span></dt><dd>standard</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15385.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.388e+06 -5.362e+06 ... 5.388e+06</div><input id='attrs-f9ca58de-ab4c-4142-86a9-72528574526e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9ca58de-ab4c-4142-86a9-72528574526e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ec81502-9252-4e26-b7cb-80fd65ad91a2' class='xr-var-data-in' type='checkbox'><label for='data-9ec81502-9252-4e26-b7cb-80fd65ad91a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-5387500., -5362500., -5337500., ...,  5337500.,  5362500.,  5387500.],\n",
-       "      shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.388e+06 -5.362e+06 ... 5.388e+06</div><input id='attrs-a29cc1be-1cfd-4407-8fb3-ee6952d4223e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a29cc1be-1cfd-4407-8fb3-ee6952d4223e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03dd34bb-0413-457a-bce4-da983514c64e' class='xr-var-data-in' type='checkbox'><label for='data-03dd34bb-0413-457a-bce4-da983514c64e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-5387500., -5362500., -5337500., ...,  5337500.,  5362500.,  5387500.],\n",
-       "      shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.62 16.82 17.02 ... 16.82 16.62</div><input id='attrs-70039b11-2045-48a2-8230-ea9e9ef39381' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70039b11-2045-48a2-8230-ea9e9ef39381' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f64a3bc-a7e5-4fae-bc64-2e918029aeac' class='xr-var-data-in' type='checkbox'><label for='data-5f64a3bc-a7e5-4fae-bc64-2e918029aeac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>bounds :</span></dt><dd>vertices_latitude</dd></dl></div><div class='xr-var-data'><pre>array([[16.62392616, 16.82265472, 17.02065849, ..., 17.02065849,\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-624ee4d9-2dc3-4551-8baf-1ab6032a820c' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-624ee4d9-2dc3-4551-8baf-1ab6032a820c' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>x</span>: 432</li><li><span class='xr-has-index'>y</span>: 432</li><li><span>vertices</span>: 4</li></ul></div></li><li class='xr-section-item'><input id='section-d0be81ac-353b-4e36-baed-22681df47983' class='xr-section-summary-in' type='checkbox' checked /><label for='section-d0be81ac-353b-4e36-baed-22681df47983' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.539e+04</div><input id='attrs-353685a1-0b0b-416d-b143-1a90e20e8a90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-353685a1-0b0b-416d-b143-1a90e20e8a90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a82b9d6d-1bff-42be-8a23-0193c7726144' class='xr-var-data-in' type='checkbox'><label for='data-a82b9d6d-1bff-42be-8a23-0193c7726144' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1978-01-01</dd><dt><span>calendar :</span></dt><dd>standard</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15385.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.388e+06 -5.362e+06 ... 5.388e+06</div><input id='attrs-54d533d2-2248-416e-a498-85b2f9f2ff79' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54d533d2-2248-416e-a498-85b2f9f2ff79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1370e352-3a16-43de-8a64-6ce96c4fb116' class='xr-var-data-in' type='checkbox'><label for='data-1370e352-3a16-43de-8a64-6ce96c4fb116' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-5387500., -5362500., -5337500., ...,  5337500.,  5362500.,  5387500.],\n",
+       "      shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.388e+06 -5.362e+06 ... 5.388e+06</div><input id='attrs-4072e1a3-44be-4adc-814a-8641575c43ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4072e1a3-44be-4adc-814a-8641575c43ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4265b11-d3a9-4ecf-aa9f-2fd7e024bede' class='xr-var-data-in' type='checkbox'><label for='data-b4265b11-d3a9-4ecf-aa9f-2fd7e024bede' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-5387500., -5362500., -5337500., ...,  5337500.,  5362500.,  5387500.],\n",
+       "      shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.62 16.82 17.02 ... 16.82 16.62</div><input id='attrs-66e62e66-a89d-45b3-9f84-43700a4a4cc0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66e62e66-a89d-45b3-9f84-43700a4a4cc0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1878492f-bf76-4b6e-9b97-e10c5ea0cb97' class='xr-var-data-in' type='checkbox'><label for='data-1878492f-bf76-4b6e-9b97-e10c5ea0cb97' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>bounds :</span></dt><dd>vertices_latitude</dd></dl></div><div class='xr-var-data'><pre>array([[16.62392616, 16.82265472, 17.02065849, ..., 17.02065849,\n",
        "        16.82265472, 16.62392616],\n",
        "       [16.82265472, 17.02158356, 17.21979523, ..., 17.21979523,\n",
        "        17.02158356, 16.82265472],\n",
@@ -865,7 +897,7 @@
        "       [16.82265472, 17.02158356, 17.21979523, ..., 17.21979523,\n",
        "        17.02158356, 16.82265472],\n",
        "       [16.62392616, 16.82265472, 17.02065849, ..., 17.02065849,\n",
-       "        16.82265472, 16.62392616]], shape=(432, 432))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>315.0 314.9 314.7 ... 134.9 135.0</div><input id='attrs-4a619d76-76c7-4a55-a61a-3dcecdbb212e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a619d76-76c7-4a55-a61a-3dcecdbb212e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0fe6e2b-71d9-4915-9f6a-8929f936bc71' class='xr-var-data-in' type='checkbox'><label for='data-b0fe6e2b-71d9-4915-9f6a-8929f936bc71' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>bounds :</span></dt><dd>vertices_longitude</dd></dl></div><div class='xr-var-data'><pre>array([[315.        , 314.86676025, 314.73287964, ..., 225.2671051 ,\n",
+       "        16.82265472, 16.62392616]], shape=(432, 432))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>315.0 314.9 314.7 ... 134.9 135.0</div><input id='attrs-55ef42cc-c2bf-46f0-9473-37a69dceb6d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-55ef42cc-c2bf-46f0-9473-37a69dceb6d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c22efd4-1c4c-4508-bc5d-3570b4ca8bac' class='xr-var-data-in' type='checkbox'><label for='data-2c22efd4-1c4c-4508-bc5d-3570b4ca8bac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>bounds :</span></dt><dd>vertices_longitude</dd></dl></div><div class='xr-var-data'><pre>array([[315.        , 314.86676025, 314.73287964, ..., 225.2671051 ,\n",
        "        225.13323975, 225.        ],\n",
        "       [315.13323975, 315.        , 314.86611938, ..., 225.13386536,\n",
        "        225.        , 224.86676025],\n",
@@ -877,7 +909,7 @@
        "       [ 44.86675262,  45.        ,  45.13386917, ..., 134.86613464,\n",
        "        135.        , 135.13323975],\n",
        "       [ 45.        ,  45.13324738,  45.26711273, ..., 134.7328949 ,\n",
-       "        134.86676025, 135.        ]], shape=(432, 432))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dca4a46c-75a0-4cc5-99a3-8027e7a6f5c3' class='xr-section-summary-in' type='checkbox' checked /><label for='section-dca4a46c-75a0-4cc5-99a3-8027e7a6f5c3' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.537e+04 1.54e+04</div><input id='attrs-18c1938d-5d1f-4920-99a9-27382301fb3f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-18c1938d-5d1f-4920-99a9-27382301fb3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-feac0c1d-bb6b-495b-838e-05cbfe5092f3' class='xr-var-data-in' type='checkbox'><label for='data-feac0c1d-bb6b-495b-838e-05cbfe5092f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[15371., 15400.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>-2147483647</div><input id='attrs-785fb374-55c3-4685-83e7-573faebf4ba3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-785fb374-55c3-4685-83e7-573faebf4ba3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3ff6e6f-acd4-4176-b68d-479710419118' class='xr-var-data-in' type='checkbox'><label for='data-a3ff6e6f-acd4-4176-b68d-479710419118' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping_name :</span></dt><dd>lambert_azimuthal_equal_area</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>90.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_latitude</span></div><div class='xr-var-dims'>(x, y, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.42 16.62 16.82 ... 16.42 16.62</div><input id='attrs-97cd5ff0-8c39-4399-bd44-533f3f01aac2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97cd5ff0-8c39-4399-bd44-533f3f01aac2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a725217-887f-4387-9d07-427a45328c97' class='xr-var-data-in' type='checkbox'><label for='data-7a725217-887f-4387-9d07-427a45328c97' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[[16.42470792, 16.62369573, 16.822885  , 16.62369573],\n",
+       "        134.86676025, 135.        ]], shape=(432, 432))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ad21ef67-477a-4bfd-a7af-5ee64343e533' class='xr-section-summary-in' type='checkbox' checked /><label for='section-ad21ef67-477a-4bfd-a7af-5ee64343e533' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.537e+04 1.54e+04</div><input id='attrs-012d1250-d3b6-494f-966a-a67f2f545f93' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-012d1250-d3b6-494f-966a-a67f2f545f93' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81cfdee4-44c8-4a93-8138-873643ecc071' class='xr-var-data-in' type='checkbox'><label for='data-81cfdee4-44c8-4a93-8138-873643ecc071' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[15371., 15400.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>-2147483647</div><input id='attrs-4e164f59-9670-4014-9d5b-72bd43d74216' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e164f59-9670-4014-9d5b-72bd43d74216' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34df9503-7e14-4e77-a3d8-f92e908fbe47' class='xr-var-data-in' type='checkbox'><label for='data-34df9503-7e14-4e77-a3d8-f92e908fbe47' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping_name :</span></dt><dd>lambert_azimuthal_equal_area</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>90.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_latitude</span></div><div class='xr-var-dims'>(x, y, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.42 16.62 16.82 ... 16.42 16.62</div><input id='attrs-058cf9c1-3558-4eb1-ad53-5d5b1ab8f4f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-058cf9c1-3558-4eb1-ad53-5d5b1ab8f4f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8fce8e22-9857-4cb1-bc4e-3597de0b313c' class='xr-var-data-in' type='checkbox'><label for='data-8fce8e22-9857-4cb1-bc4e-3597de0b313c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[[16.42470792, 16.62369573, 16.822885  , 16.62369573],\n",
        "        [16.822885  , 17.02135298, 17.22002648, 17.02135298],\n",
        "        [17.22002648, 17.41798082, 17.61614471, 17.41798082],\n",
        "        ...,\n",
@@ -917,7 +949,7 @@
        "        [17.61614471, 17.41798082, 17.22002648, 17.41798082],\n",
        "        [17.22002648, 17.02135298, 16.822885  , 17.02135298],\n",
        "        [16.822885  , 16.62369573, 16.42470792, 16.62369573]]],\n",
-       "      shape=(432, 432, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_longitude</span></div><div class='xr-var-dims'>(x, y, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>315.0 315.1 315.0 ... 135.0 135.1</div><input id='attrs-999adf75-96da-4724-968e-6b6d6d8ef74b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-999adf75-96da-4724-968e-6b6d6d8ef74b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab6be3a9-8f63-4cc2-8d19-dfa15111fbe7' class='xr-var-data-in' type='checkbox'><label for='data-ab6be3a9-8f63-4cc2-8d19-dfa15111fbe7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[[315.        , 315.1329366 , 315.        , 314.8670634 ],\n",
+       "      shape=(432, 432, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_longitude</span></div><div class='xr-var-dims'>(x, y, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>315.0 315.1 315.0 ... 135.0 135.1</div><input id='attrs-dcc4be5b-62c0-4707-95f5-493ec87c5e22' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dcc4be5b-62c0-4707-95f5-493ec87c5e22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5ee069b-2790-45d2-8fde-4a0d36910a3e' class='xr-var-data-in' type='checkbox'><label for='data-d5ee069b-2790-45d2-8fde-4a0d36910a3e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[[315.        , 315.1329366 , 315.        , 314.8670634 ],\n",
        "        [315.        , 315.1329366 , 315.        , 314.8670634 ],\n",
        "        [315.        , 315.1329366 , 315.        , 314.8670634 ],\n",
        "        ...,\n",
@@ -957,14 +989,14 @@
        "        [135.        , 134.8670634 , 135.        , 135.1329366 ],\n",
        "        [135.        , 134.8670634 , 135.        , 135.1329366 ],\n",
        "        [135.        , 134.8670634 , 135.        , 135.1329366 ]]],\n",
-       "      shape=(432, 432, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>siconc</span></div><div class='xr-var-dims'>(time, x, y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-daafe48d-54e9-4f8f-aa82-344b7021cf2d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-daafe48d-54e9-4f8f-aa82-344b7021cf2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c7ec8b5-fb4b-421a-829b-78fc5ae145a7' class='xr-var-data-in' type='checkbox'><label for='data-3c7ec8b5-fb4b-421a-829b-78fc5ae145a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction</dd><dt><span>long_name :</span></dt><dd>Sea-Ice Area Percentage (Ocean Grid)</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "      shape=(432, 432, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>siconc</span></div><div class='xr-var-dims'>(time, x, y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-7c0128e6-5a7d-47d1-97d9-d791a157f987' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c0128e6-5a7d-47d1-97d9-d791a157f987' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3cb29057-04f3-4444-a60f-c81fdea921db' class='xr-var-data-in' type='checkbox'><label for='data-3cb29057-04f3-4444-a60f-c81fdea921db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction</dd><dt><span>long_name :</span></dt><dd>Sea-Ice Area Percentage (Ocean Grid)</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "        ...,\n",
        "        [nan, nan, nan, ...,  0.,  0.,  0.],\n",
        "        [nan, nan, nan, ...,  0.,  0.,  0.],\n",
        "        [nan, nan, nan, ...,  0.,  0.,  0.]]],\n",
-       "      shape=(1, 432, 432), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9db4397a-bd7b-4f6d-8013-07cf9ca161c7' class='xr-section-summary-in' type='checkbox' checked /><label for='section-9db4397a-bd7b-4f6d-8013-07cf9ca161c7' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(39)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>siconc_tavg-u-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-30T00:10:04Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-30T00:10:04Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>25 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>seaIce</dd><dt><span>region :</span></dt><dd>nh</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_seaIce.json; Creation Date:(2026-04-21 15:01:29) MD5:ac55986d4e9ece44a638ff080fdd9ada</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/8895eb06-4048-4a24-ae1e-a0b9b178a824</dd><dt><span>variable_id :</span></dt><dd>siconc</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+       "      shape=(1, 432, 432), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-76a31a28-7213-4531-8724-140d55b13d57' class='xr-section-summary-in' type='checkbox' checked /><label for='section-76a31a28-7213-4531-8724-140d55b13d57' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(39)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>siconc_tavg-u-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-30T00:32:15Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-30T00:32:15Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>25 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>seaIce</dd><dt><span>region :</span></dt><dd>nh</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_seaIce.json; Creation Date:(2026-04-21 15:01:29) MD5:ac55986d4e9ece44a638ff080fdd9ada</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/32ecfc05-e324-455b-ad3d-9beae5c9a02f</dd><dt><span>variable_id :</span></dt><dd>siconc</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 16MB\n",
@@ -988,7 +1020,7 @@
        "    area_label:            u\n",
        "    branded_variable:      siconc_tavg-u-hxy-u\n",
        "    branding_suffix:       tavg-u-hxy-u\n",
-       "    creation_date:         2026-05-30T00:10:04Z\n",
+       "    creation_date:         2026-05-30T00:32:15Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -997,7 +1029,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-30T00:10:04Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-05-30T00:32:15Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1016,7 +1048,7 @@
        "    table_info:            Name: CMIP7_seaIce.json; Creation Date:(2026-04-21...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/8895eb06-4048-4a24-ae1e-a0b9b178a824\n",
+       "    tracking_id:           hdl:21.14107/32ecfc05-e324-455b-ad3d-9beae5c9a02f\n",
        "    variable_id:           siconc\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
@@ -1029,7 +1061,7 @@
     }
    ],
    "source": [
-    "with xr.open_dataset(netcdf_path, decode_times=False) as opened:\n",
+    "with xr.open_dataset(netcdf_paths[\"nh\"], decode_times=False) as opened:\n",
     "    ds = opened.load()\n",
     "\n",
     "with xr.set_options(\n",
@@ -1048,18 +1080,18 @@
    "id": "8cf16c62",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T00:10:04.612025Z",
-     "iopub.status.busy": "2026-05-30T00:10:04.611936Z",
-     "iopub.status.idle": "2026-05-30T00:10:05.108024Z",
-     "shell.execute_reply": "2026-05-30T00:10:05.107712Z"
+     "iopub.execute_input": "2026-05-30T00:32:15.558148Z",
+     "iopub.status.busy": "2026-05-30T00:32:15.558069Z",
+     "iopub.status.idle": "2026-05-30T00:32:16.316783Z",
+     "shell.execute_reply": "2026-05-30T00:32:16.316406Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
-       "<Figure size 800x800 with 2 Axes>"
+       "<Figure size 1300x650 with 3 Axes>"
       ]
      },
      "metadata": {},
@@ -1067,29 +1099,41 @@
     }
    ],
    "source": [
-    "fig, ax = plt.subplots(figsize=(8, 8))\n",
-    "map_plot = Basemap(\n",
-    "    projection=\"laea\",\n",
-    "    lat_0=90,\n",
-    "    lon_0=0,\n",
-    "    width=10_800_000,\n",
-    "    height=10_800_000,\n",
-    "    resolution=\"l\",\n",
-    "    ax=ax,\n",
-    ")\n",
-    "map_plot.drawmapboundary(fill_color=\"#f7fbff\", linewidth=0.8)\n",
-    "map_plot.fillcontinents(color=\"0.82\", lake_color=\"#f7fbff\", zorder=0)\n",
-    "longitude_plot = ds[\"longitude\"].values.T\n",
-    "latitude_plot = ds[\"latitude\"].values.T\n",
-    "field = ds[\"siconc\"].isel(time=0).values.T\n",
-    "x_plot, y_plot = map_plot(longitude_plot, latitude_plot)\n",
-    "mesh = map_plot.pcolormesh(x_plot, y_plot, field, shading=\"auto\", cmap=\"Blues\", vmin=0, vmax=100)\n",
-    "map_plot.drawcoastlines(linewidth=0.7, color=\"0.15\")\n",
-    "map_plot.drawparallels(np.arange(40, 91, 10), labels=[1, 0, 0, 0], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
-    "map_plot.drawmeridians(np.arange(-180, 181, 45), labels=[0, 0, 0, 1], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
-    "colorbar = map_plot.colorbar(mesh, location=\"right\", pad=\"5%\")\n",
+    "with xr.open_dataset(netcdf_paths[\"sh\"], decode_times=False) as opened:\n",
+    "    south_ds = opened.load()\n",
+    "\n",
+    "\n",
+    "def plot_polar_siconc(ax, dataset, hemisphere):\n",
+    "    is_north = hemisphere == \"nh\"\n",
+    "    map_plot = Basemap(\n",
+    "        projection=\"laea\",\n",
+    "        lat_0=90 if is_north else -90,\n",
+    "        lon_0=0,\n",
+    "        width=10_800_000,\n",
+    "        height=10_800_000,\n",
+    "        resolution=\"l\",\n",
+    "        ax=ax,\n",
+    "    )\n",
+    "    map_plot.drawmapboundary(fill_color=\"#f7fbff\", linewidth=0.8)\n",
+    "    map_plot.fillcontinents(color=\"0.82\", lake_color=\"#f7fbff\", zorder=0)\n",
+    "    longitude_plot = dataset[\"longitude\"].values.T\n",
+    "    latitude_plot = dataset[\"latitude\"].values.T\n",
+    "    field = dataset[\"siconc\"].isel(time=0).values.T\n",
+    "    x_plot, y_plot = map_plot(longitude_plot, latitude_plot)\n",
+    "    mesh = map_plot.pcolormesh(x_plot, y_plot, field, shading=\"auto\", cmap=\"Blues\", vmin=0, vmax=100)\n",
+    "    map_plot.drawcoastlines(linewidth=0.7, color=\"0.15\")\n",
+    "    parallels = np.arange(40, 91, 10) if is_north else np.arange(-80, -39, 10)\n",
+    "    map_plot.drawparallels(parallels, labels=[1, 0, 0, 0], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
+    "    map_plot.drawmeridians(np.arange(-180, 181, 45), labels=[0, 0, 0, 1], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
+    "    ax.set_title(f\"CMIP7 siconc on the {hemisphere.upper()} EASE2 projected grid, February 2020\")\n",
+    "    return mesh\n",
+    "\n",
+    "\n",
+    "fig, axes = plt.subplots(1, 2, figsize=(13, 6.5), constrained_layout=True)\n",
+    "mesh = plot_polar_siconc(axes[0], ds, \"nh\")\n",
+    "plot_polar_siconc(axes[1], south_ds, \"sh\")\n",
+    "colorbar = fig.colorbar(mesh, ax=axes, location=\"right\", shrink=0.82, pad=0.03)\n",
     "colorbar.set_label(\"%\")\n",
-    "ax.set_title(\"CMIP7 siconc on the NH EASE2 projected grid, February 2020\")\n",
     "plt.show()"
    ]
   }
diff --git a/notebooks/README.md b/notebooks/README.md
index 43ec46aa..19cf9908 100644
--- a/notebooks/README.md
+++ b/notebooks/README.md
@@ -28,4 +28,4 @@ The notebooks write generated NetCDF files under `notebooks/output/`.
 3. `03_pressure_level_air_temperature.ipynb`: writes air temperature (`ta_tavg-p19-hxy-air`) on the CMIP7 19 pressure levels.
 4. `04_hybrid_sigma_zfactors.ipynb`: writes air temperature (`ta_tavg-al-hxy-u`) on a hybrid sigma pressure coordinate with CMOR zfactors.
 5. `05_curvilinear_ocean_grid.ipynb`: writes sea surface temperature (`tos_tavg-u-hxy-sea`) using `cmor.grid` with two-dimensional latitude and longitude coordinates.
-6. `06_non_lat_lon_sea_ice_concentration.ipynb`: writes sea-ice area percentage (`siconc_tavg-u-hxy-u`) using the projected Northern Hemisphere EASE2 grid from `notebooks/data/ice_conc_nh_ease2-250_cdr-v3p1_202002.nc`.
+6. `06_non_lat_lon_sea_ice_concentration.ipynb`: writes sea-ice area percentage (`siconc_tavg-u-hxy-u`) using the projected Northern and Southern Hemisphere EASE2 grids from the NetCDF files in `notebooks/data/`.
diff --git a/notebooks/data/ice_conc_sh_ease2-250_cdr-v3p1_202002.nc b/notebooks/data/ice_conc_sh_ease2-250_cdr-v3p1_202002.nc
new file mode 100644
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literal 0
HcmV?d00001


From ae327803f8c675d605cf54978429f6515d1d62a5 Mon Sep 17 00:00:00 2001
From: Chris Mauzey <mauzey1@llnl.gov>
Date: Fri, 29 May 2026 17:57:49 -0700
Subject: [PATCH 16/25] Display dataset info of source data in example 6

---
 ...06_non_lat_lon_sea_ice_concentration.ipynb | 825 +++++++++++++++++-
 1 file changed, 788 insertions(+), 37 deletions(-)

diff --git a/notebooks/06_non_lat_lon_sea_ice_concentration.ipynb b/notebooks/06_non_lat_lon_sea_ice_concentration.ipynb
index f5415b1f..eee558b8 100644
--- a/notebooks/06_non_lat_lon_sea_ice_concentration.ipynb
+++ b/notebooks/06_non_lat_lon_sea_ice_concentration.ipynb
@@ -16,10 +16,10 @@
    "id": "afaab710",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T00:32:14.616341Z",
-     "iopub.status.busy": "2026-05-30T00:32:14.616165Z",
-     "iopub.status.idle": "2026-05-30T00:32:15.116147Z",
-     "shell.execute_reply": "2026-05-30T00:32:15.115761Z"
+     "iopub.execute_input": "2026-05-30T00:55:38.533356Z",
+     "iopub.status.busy": "2026-05-30T00:55:38.533183Z",
+     "iopub.status.idle": "2026-05-30T00:55:39.027635Z",
+     "shell.execute_reply": "2026-05-30T00:55:39.027251Z"
     }
    },
    "outputs": [
@@ -70,13 +70,764 @@
   {
    "cell_type": "code",
    "execution_count": 2,
+   "id": "2a3d3a10",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-30T00:55:39.028998Z",
+     "iopub.status.busy": "2026-05-30T00:55:39.028885Z",
+     "iopub.status.idle": "2026-05-30T00:55:39.159428Z",
+     "shell.execute_reply": "2026-05-30T00:55:39.159057Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
+       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, white)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
+       "body[data-theme=\"dark\"],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "  line-height: 1.6;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "  margin-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-obj-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-group-box-contents > label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "  margin-block-start: 0;\n",
+       "  margin-block-end: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input,\n",
+       ".xr-group-box-contents > input,\n",
+       ".xr-array-wrap > input {\n",
+       "  display: block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input + label,\n",
+       ".xr-var-item > input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label,\n",
+       ".xr-var-item > input:enabled + label,\n",
+       ".xr-array-wrap > input:enabled + label,\n",
+       ".xr-group-box-contents > input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:focus-visible + label,\n",
+       ".xr-var-item > input:focus-visible + label,\n",
+       ".xr-array-wrap > input:focus-visible + label,\n",
+       ".xr-group-box-contents > input:focus-visible + label {\n",
+       "  outline: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label:hover,\n",
+       ".xr-var-item > input:enabled + label:hover,\n",
+       ".xr-array-wrap > input:enabled + label:hover,\n",
+       ".xr-group-box-contents > input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "  white-space: nowrap;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > em {\n",
+       "  font-weight: normal;\n",
+       "}\n",
+       "\n",
+       ".xr-span-grid {\n",
+       "  grid-column-end: -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.6em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details,\n",
+       ".xr-group-box-contents > label {\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-top: 4px;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in ~ .xr-section-details {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-children {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 100%;\n",
+       "  grid-column: 1 / -1;\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 0px 30px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-vline {\n",
+       "  grid-column-start: 1;\n",
+       "  border-right: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "  width: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-hline {\n",
+       "  grid-column-start: 2;\n",
+       "  grid-row-start: 1;\n",
+       "  height: 1em;\n",
+       "  width: 26px;\n",
+       "  border-bottom: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents {\n",
+       "  grid-column-start: 3;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > label::before {\n",
+       "  content: \"📂\";\n",
+       "  padding-right: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label::before {\n",
+       "  content: \"📁\";\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label {\n",
+       "  padding-bottom: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-ellipsis {\n",
+       "  font-size: 1.4em;\n",
+       "  font-weight: 900;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  letter-spacing: 0.15em;\n",
+       "  cursor: default;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 5MB\n",
+       "Dimensions:                 (time: 1, yc: 432, xc: 432, nv: 2)\n",
+       "Coordinates:\n",
+       "  * time                    (time) float64 8B 1.329e+09\n",
+       "  * yc                      (yc) float64 3kB 5.388e+03 5.362e+03 ... -5.388e+03\n",
+       "  * xc                      (xc) float64 3kB -5.388e+03 -5.362e+03 ... 5.388e+03\n",
+       "    lat                     (yc, xc) float32 746kB 16.62 16.82 ... 16.82 16.62\n",
+       "    lon                     (yc, xc) float32 746kB -135.0 -135.1 ... 44.87 45.0\n",
+       "Dimensions without coordinates: nv\n",
+       "Data variables:\n",
+       "    Lambert_Azimuthal_Grid  int32 4B -2147483647\n",
+       "    ice_conc                (time, yc, xc) float64 1MB 0.0 0.0 0.0 ... nan nan\n",
+       "    raw_ice_conc_values     (time, yc, xc) float64 1MB nan nan nan ... nan nan\n",
+       "    status_flag             (time, yc, xc) float32 746kB 128.0 128.0 ... 1.0 1.0\n",
+       "    time_bnds               (time, nv) float64 16B 1.328e+09 1.331e+09\n",
+       "Attributes:\n",
+       "    title:                     Monthly Sea Ice Concentration Climate Data Rec...\n",
+       "    summary:                   This climate data record of sea ice concentrat...\n",
+       "    topiccategory:             Oceans ClimatologyMeteorologyAtmosphere\n",
+       "    geospatial_lat_min:        16.62393\n",
+       "    geospatial_lat_max:        90.0\n",
+       "    geospatial_lon_min:        -180.0\n",
+       "    geospatial_lon_max:        180.0\n",
+       "    geospatial_vertical_min:   0.0\n",
+       "    geospatial_vertical_max:   0.0\n",
+       "    sensor:                    SMMR,SSM/I,SSMIS\n",
+       "    platform:                  Nimbus-7,DMSP-F&lt;08,10,11,13,14,15&gt;,DMSP-F&lt;16,1...\n",
+       "    time_coverage_start:       2020-02-01T00:00:00Z\n",
+       "    time_coverage_end:         2020-03-01T00:00:00Z\n",
+       "    time_coverage_duration:    P1M\n",
+       "    time_coverage_resolution:  P1M\n",
+       "    project:                   OSI SAF - EUMETSAT\n",
+       "    institution:               OSISAF - EUMETSAT\n",
+       "    creator_name:              OSISAF - EUMETSAT\n",
+       "    creator_type:              institution\n",
+       "    creator_url:               https://osi-saf.eumetsat.int/\n",
+       "    creator_email:             osi-saf.helpdesk@meteo.fr\n",
+       "    date_created:              2023-03-20\n",
+       "    cdm_data_type:             Grid\n",
+       "    spatial_resolution:        25.0 km grid spacing\n",
+       "    geospatial_bounds_crs:     EPSG:6931\n",
+       "    tracking_id:               537df889-640b-44f8-bb9f-f49d9b281ca1\n",
+       "    naming_authority:          int.eumetsat\n",
+       "    standard_name_vocabulary:  CF Standard Name Table (Version 78, 21 Septemb...\n",
+       "    product_name:              osi_saf_sea_ice_conc_climate_data_record_smmrs...\n",
+       "    keywords:                  GCMDSK:Earth Science &gt; Cryosphere &gt; Sea Ice &gt; ...\n",
+       "    keywords_vocabulary:       GCMDSK:GCMD Science Keywords:https://gcmd.eart...\n",
+       "    Conventions:               CF-1.7,ACDD-1.3\n",
+       "    algorithm:                 SICCI3LF (19V, 37V, 37H)\n",
+       "    contributor_name:          Thomas Lavergne,Atle Soerensen,Rasmus Tonboe,C...\n",
+       "    contributor_role:          PrincipalInvestigator,author,author,author,aut...\n",
+       "    source:                    FCDR of SMMR / SSMI / SSMIS Brightness Tempera...\n",
+       "    product_status:            released\n",
+       "    history:                   2023-03-20T13:57:20Z creation\\n2025-02-17T11:0...\n",
+       "    product_version:           3.1\n",
+       "    product_id:                osi-450-a1\n",
+       "    doi:                       10.15770/EUM_SAF_OSI_0023\n",
+       "    references:                Product User Manual (2025),Algorithm Theoretic...\n",
+       "    license:                   http://creativecommons.org/licenses/by/4.0/</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e0f61af3-73b7-443e-a119-092f046d9296' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-e0f61af3-73b7-443e-a119-092f046d9296' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>yc</span>: 432</li><li><span class='xr-has-index'>xc</span>: 432</li><li><span>nv</span>: 2</li></ul></div></li><li class='xr-section-item'><input id='section-f3ff2db7-ca19-4805-803b-9384852928b0' class='xr-section-summary-in' type='checkbox' checked /><label for='section-f3ff2db7-ca19-4805-803b-9384852928b0' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.329e+09</div><input id='attrs-349b8873-bf1c-4b21-8c90-f75f458dfc76' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-349b8873-bf1c-4b21-8c90-f75f458dfc76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-542e088c-e026-4b6c-8970-ffd277c90267' class='xr-var-data-in' type='checkbox'><label for='data-542e088c-e026-4b6c-8970-ffd277c90267' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>reference time of product</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>seconds since 1978-01-01</dd><dt><span>calendar :</span></dt><dd>standard</dd></dl></div><div class='xr-var-data'><pre>array([1.329394e+09])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yc</span></div><div class='xr-var-dims'>(yc)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.388e+03 5.362e+03 ... -5.388e+03</div><input id='attrs-066138c2-29eb-484b-8487-4c40912df1ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-066138c2-29eb-484b-8487-4c40912df1ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3b8eafe-d6d7-4405-863b-68348f466b19' class='xr-var-data-in' type='checkbox'><label for='data-f3b8eafe-d6d7-4405-863b-68348f466b19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>km</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection (northings)</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 5387.5,  5362.5,  5337.5, ..., -5337.5, -5362.5, -5387.5], shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xc</span></div><div class='xr-var-dims'>(xc)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.388e+03 -5.362e+03 ... 5.388e+03</div><input id='attrs-5e82739d-957b-4513-a1ac-ceb152774117' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e82739d-957b-4513-a1ac-ceb152774117' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d472061-1bec-4633-a7cc-8ab453ed87ed' class='xr-var-data-in' type='checkbox'><label for='data-4d472061-1bec-4633-a7cc-8ab453ed87ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>km</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection (eastings)</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-5387.5, -5362.5, -5337.5, ...,  5337.5,  5362.5,  5387.5], shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(yc, xc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>16.62 16.82 17.02 ... 16.82 16.62</div><input id='attrs-3fd7e811-dda4-4683-b613-d558822ec9ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fd7e811-dda4-4683-b613-d558822ec9ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e37d41bf-cf6a-4c37-a22c-3d67286e1d43' class='xr-var-data-in' type='checkbox'><label for='data-e37d41bf-cf6a-4c37-a22c-3d67286e1d43' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude coordinate</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([[16.623926, 16.822655, 17.020658, ..., 17.020658, 16.822655,\n",
+       "        16.623926],\n",
+       "       [16.822655, 17.021584, 17.219795, ..., 17.219795, 17.021584,\n",
+       "        16.822655],\n",
+       "       [17.020658, 17.219795, 17.418213, ..., 17.418213, 17.219795,\n",
+       "        17.020658],\n",
+       "       ...,\n",
+       "       [17.020658, 17.219795, 17.418213, ..., 17.418213, 17.219795,\n",
+       "        17.020658],\n",
+       "       [16.822655, 17.021584, 17.219795, ..., 17.219795, 17.021584,\n",
+       "        16.822655],\n",
+       "       [16.623926, 16.822655, 17.020658, ..., 17.020658, 16.822655,\n",
+       "        16.623926]], shape=(432, 432), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(yc, xc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-135.0 -135.1 -135.3 ... 44.87 45.0</div><input id='attrs-437f2de8-cd51-43b1-89fa-0f8f5e46c50b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-437f2de8-cd51-43b1-89fa-0f8f5e46c50b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d4976ae-a706-4195-a103-90553d3f9d4a' class='xr-var-data-in' type='checkbox'><label for='data-0d4976ae-a706-4195-a103-90553d3f9d4a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude coordinate</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([[-135.      , -135.13324 , -135.2671  , ...,  135.2671  ,\n",
+       "         135.13324 ,  135.      ],\n",
+       "       [-134.86676 , -135.      , -135.13387 , ...,  135.13387 ,\n",
+       "         135.      ,  134.86676 ],\n",
+       "       [-134.7329  , -134.86613 , -135.      , ...,  135.      ,\n",
+       "         134.86613 ,  134.7329  ],\n",
+       "       ...,\n",
+       "       [ -45.267113,  -45.13387 ,  -45.      , ...,   45.      ,\n",
+       "          45.13387 ,   45.267113],\n",
+       "       [ -45.133247,  -45.      ,  -44.86613 , ...,   44.86613 ,\n",
+       "          45.      ,   45.133247],\n",
+       "       [ -45.      ,  -44.866753,  -44.732887, ...,   44.732887,\n",
+       "          44.866753,   45.      ]], shape=(432, 432), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-87dad619-e459-494d-816a-fe87da58c103' class='xr-section-summary-in' type='checkbox' checked /><label for='section-87dad619-e459-494d-816a-fe87da58c103' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Lambert_Azimuthal_Grid</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>-2147483647</div><input id='attrs-848d365c-4d56-4ed5-9b62-a40132c90dd3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-848d365c-4d56-4ed5-9b62-a40132c90dd3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed459652-9108-49a2-9bf1-dcab6f4900a7' class='xr-var-data-in' type='checkbox'><label for='data-ed459652-9108-49a2-9bf1-dcab6f4900a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping_name :</span></dt><dd>lambert_azimuthal_equal_area</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>90.0</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>proj4_string :</span></dt><dd>+proj=laea +lon_0=0 +datum=WGS84 +ellps=WGS84 +lat_0=90.0</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ice_conc</span></div><div class='xr-var-dims'>(time, yc, xc)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-6f4dadde-462d-4c44-97b8-c8dd564aaa29' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f4dadde-462d-4c44-97b8-c8dd564aaa29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-988663c0-7f69-4b8a-9de2-72c34d340646' class='xr-var-data-in' type='checkbox'><label for='data-988663c0-7f69-4b8a-9de2-72c34d340646' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>fully filtered concentration of sea ice using atmospheric correction of brightness temperatures and open water filters</dd><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>grid_mapping :</span></dt><dd>Lambert_Azimuthal_Grid</dd><dt><span>ancillary_variables :</span></dt><dd>total_standard_uncertainty status_flag</dd><dt><span>comment :</span></dt><dd>this field is the primary sea ice concentration estimate for this climate data record</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "        ...,\n",
+       "        [ 0.,  0.,  0., ..., nan, nan, nan],\n",
+       "        [ 0.,  0.,  0., ..., nan, nan, nan],\n",
+       "        [ 0.,  0.,  0., ..., nan, nan, nan]]], shape=(1, 432, 432))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>raw_ice_conc_values</span></div><div class='xr-var-dims'>(time, yc, xc)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-26512b02-d34e-4e84-88ea-a3fcdb9b4b00' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-26512b02-d34e-4e84-88ea-a3fcdb9b4b00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84394585-1127-45c3-a625-1ffebff80e37' class='xr-var-data-in' type='checkbox'><label for='data-84394585-1127-45c3-a625-1ffebff80e37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea ice concentration estimates as retrieved by the algorithm, and that were edited away by the various filters</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>grid_mapping :</span></dt><dd>Lambert_Azimuthal_Grid</dd><dt><span>comment :</span></dt><dd>this field can be used in combination with &#x27;ice_conc&#x27; to access un-bounded normal distribution of sea ice concentration estimates corresponding to the uncertainty estimate in &#x27;total_standard_uncertainty&#x27;. It does also feature some amount of un-physical data (below 0% and above 100%).</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
+       "        [nan, nan, nan, ..., nan, nan, nan],\n",
+       "        [nan, nan, nan, ..., nan, nan, nan],\n",
+       "        ...,\n",
+       "        [nan, nan, nan, ..., nan, nan, nan],\n",
+       "        [nan, nan, nan, ..., nan, nan, nan],\n",
+       "        [nan, nan, nan, ..., nan, nan, nan]]], shape=(1, 432, 432))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>status_flag</span></div><div class='xr-var-dims'>(time, yc, xc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>128.0 128.0 128.0 ... 1.0 1.0 1.0</div><input id='attrs-0cecd669-3082-4cc4-8491-8c14e28d86c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0cecd669-3082-4cc4-8491-8c14e28d86c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05e6e62f-2204-4ad2-81ea-d7f6152d73ac' class='xr-var-data-in' type='checkbox'><label for='data-05e6e62f-2204-4ad2-81ea-d7f6152d73ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>status flag bit array for sea ice concentration retrievals</dd><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction status_flag</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>32767</dd><dt><span>grid_mapping :</span></dt><dd>Lambert_Azimuthal_Grid</dd><dt><span>flag_masks :</span></dt><dd>[  1   2   4   8  16  32  64 128]</dd><dt><span>flag_meanings :</span></dt><dd>land lake open_water_filtered land_spill_over high_t2m spatial_interp temporal_interp max_ice_climo</dd><dt><span>flag_descriptions :</span></dt><dd>\n",
+       "all bits to 0 (flag 0): Nominal retrieval by the SIC algorithm\n",
+       "bit 1 (flag 1): Position is over land\n",
+       "bit 2 (flag 2): Position is lake\n",
+       "bit 3 (flag 4): SIC is set to zero by the open water filter\n",
+       "bit 4 (flag 8): SIC value is changed for correcting land spill-over effects\n",
+       "bit 5 (flag 16): Handle with caution, the 2m air temperature is high at this position, and this might be false ice\n",
+       "bit 6 (flag 32): Value is the result of spatial interpolation\n",
+       "bit 7 (flag 64): Value is the result of temporal interpolation\n",
+       "bit 8 (flag 128): SIC is set to zero since position is outside maximum sea ice climatology.</dd><dt><span>comment :</span></dt><dd>Flag values found in the map might be combinations of those listed above. For example flag value 80 (= 2^4 + 2^6 = 16 + 64) indicates high_t2m AND temporal_interp</dd></dl></div><div class='xr-var-data'><pre>array([[[128., 128., 128., ..., 128., 128., 128.],\n",
+       "        [128., 128., 128., ..., 128., 128., 128.],\n",
+       "        [128., 128., 128., ..., 128., 128., 128.],\n",
+       "        ...,\n",
+       "        [128., 128., 128., ...,   1.,   1.,   1.],\n",
+       "        [128., 128., 128., ...,   1.,   1.,   1.],\n",
+       "        [128., 128., 128., ...,   1.,   1.,   1.]]],\n",
+       "      shape=(1, 432, 432), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nv)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.328e+09 1.331e+09</div><input id='attrs-ef933b09-8eb2-4166-a089-7c4181c576b7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ef933b09-8eb2-4166-a089-7c4181c576b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f760137-9d51-44f6-a627-8685c2571ff1' class='xr-var-data-in' type='checkbox'><label for='data-9f760137-9d51-44f6-a627-8685c2571ff1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.3280544e+09, 1.3305600e+09]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0cf6b284-4ccf-4146-bdec-60ce8a9ea69b' class='xr-section-summary-in' type='checkbox' checked /><label for='section-0cf6b284-4ccf-4146-bdec-60ce8a9ea69b' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(43)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>Monthly Sea Ice Concentration Climate Data Record Version 3 (SMMR, SSM/I, and SSMIS) from the EUMETSAT OSI SAF</dd><dt><span>summary :</span></dt><dd>This climate data record of sea ice concentration is obtained from coarse resolution passive microwave satellite data (SMMR, SSM/I, and SSMIS) over the polar regions (Arctic and Antarctic). The processing chain features: 1) dynamic tuning of tie-points and algorithms,  2) correction of atmospheric noise using a Radiative Transfer Model,  3) computation of per-pixel uncertainties, and 4) an optimal hybrid sea ice concentration algorithm. This dataset was generated by the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF). The ESA CCI Programme contributed with Research and Development on the algorithms.</dd><dt><span>topiccategory :</span></dt><dd>Oceans ClimatologyMeteorologyAtmosphere</dd><dt><span>geospatial_lat_min :</span></dt><dd>16.62393</dd><dt><span>geospatial_lat_max :</span></dt><dd>90.0</dd><dt><span>geospatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>180.0</dd><dt><span>geospatial_vertical_min :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_max :</span></dt><dd>0.0</dd><dt><span>sensor :</span></dt><dd>SMMR,SSM/I,SSMIS</dd><dt><span>platform :</span></dt><dd>Nimbus-7,DMSP-F&lt;08,10,11,13,14,15&gt;,DMSP-F&lt;16,17,18&gt;</dd><dt><span>time_coverage_start :</span></dt><dd>2020-02-01T00:00:00Z</dd><dt><span>time_coverage_end :</span></dt><dd>2020-03-01T00:00:00Z</dd><dt><span>time_coverage_duration :</span></dt><dd>P1M</dd><dt><span>time_coverage_resolution :</span></dt><dd>P1M</dd><dt><span>project :</span></dt><dd>OSI SAF - EUMETSAT</dd><dt><span>institution :</span></dt><dd>OSISAF - EUMETSAT</dd><dt><span>creator_name :</span></dt><dd>OSISAF - EUMETSAT</dd><dt><span>creator_type :</span></dt><dd>institution</dd><dt><span>creator_url :</span></dt><dd>https://osi-saf.eumetsat.int/</dd><dt><span>creator_email :</span></dt><dd>osi-saf.helpdesk@meteo.fr</dd><dt><span>date_created :</span></dt><dd>2023-03-20</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>spatial_resolution :</span></dt><dd>25.0 km grid spacing</dd><dt><span>geospatial_bounds_crs :</span></dt><dd>EPSG:6931</dd><dt><span>tracking_id :</span></dt><dd>537df889-640b-44f8-bb9f-f49d9b281ca1</dd><dt><span>naming_authority :</span></dt><dd>int.eumetsat</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (Version 78, 21 September 2021)</dd><dt><span>product_name :</span></dt><dd>osi_saf_sea_ice_conc_climate_data_record_smmrssmissmis</dd><dt><span>keywords :</span></dt><dd>GCMDSK:Earth Science &gt; Cryosphere &gt; Sea Ice &gt; Sea Ice Concentration, GCMDSK:Earth Science &gt; Oceans &gt; Sea Ice &gt; Sea Ice Concentration, GCMDSK:Earth Science &gt; Climate Indicators &gt; Cryospheric Indicators &gt; Sea Ice Concentration, GCMDLOC:Geographic Region &gt; Northern Hemisphere, GCMDLOC:Vertical Location &gt; Sea Surface, GCMDPROV: Government Agencies-non-US &gt; Norway &gt; NO/MET &gt; Norwegian Meteorological Institute</dd><dt><span>keywords_vocabulary :</span></dt><dd>GCMDSK:GCMD Science Keywords:https://gcmd.earthdata.nasa.gov/kms/concepts/concept_scheme/sciencekeywords, GCMDPROV:GCMD Providers:https://gcmd.earthdata.nasa.gov/kms/concepts/concept_scheme/providers, GCMDLOC:GCMD Locations:https://gcmd.earthdata.nasa.gov/kms/concepts/concept_scheme/locations</dd><dt><span>Conventions :</span></dt><dd>CF-1.7,ACDD-1.3</dd><dt><span>algorithm :</span></dt><dd>SICCI3LF (19V, 37V, 37H)</dd><dt><span>contributor_name :</span></dt><dd>Thomas Lavergne,Atle Soerensen,Rasmus Tonboe,Courtenay Strong,Matilde Kreiner,Roberto Saldo,Anton Birkedal,Fabrizio Baordo,Trygve Aspenes,Steinar Eastwood</dd><dt><span>contributor_role :</span></dt><dd>PrincipalInvestigator,author,author,author,author,author,author,author,author,author</dd><dt><span>source :</span></dt><dd>FCDR of SMMR / SSMI / SSMIS Brightness Temperatures R4 from EUMETSAT Climate Monitoring SAF (doi:10.5676/EUM_SAF_CM/FCDR_MWI/V004), ERA5</dd><dt><span>product_status :</span></dt><dd>released</dd><dt><span>history :</span></dt><dd>2023-03-20T13:57:20Z creation\n",
+       "2025-02-17T11:05:00Z assign new DOI and version number 3.1</dd><dt><span>product_version :</span></dt><dd>3.1</dd><dt><span>product_id :</span></dt><dd>osi-450-a1</dd><dt><span>doi :</span></dt><dd>10.15770/EUM_SAF_OSI_0023</dd><dt><span>references :</span></dt><dd>Product User Manual (2025),Algorithm Theoretical Basis Document (2025),Validation Report (2025),https://osi-saf.eumetsat.int/products/osi-450-a1</dd><dt><span>license :</span></dt><dd>http://creativecommons.org/licenses/by/4.0/</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 5MB\n",
+       "Dimensions:                 (time: 1, yc: 432, xc: 432, nv: 2)\n",
+       "Coordinates:\n",
+       "  * time                    (time) float64 8B 1.329e+09\n",
+       "  * yc                      (yc) float64 3kB 5.388e+03 5.362e+03 ... -5.388e+03\n",
+       "  * xc                      (xc) float64 3kB -5.388e+03 -5.362e+03 ... 5.388e+03\n",
+       "    lat                     (yc, xc) float32 746kB 16.62 16.82 ... 16.82 16.62\n",
+       "    lon                     (yc, xc) float32 746kB -135.0 -135.1 ... 44.87 45.0\n",
+       "Dimensions without coordinates: nv\n",
+       "Data variables:\n",
+       "    Lambert_Azimuthal_Grid  int32 4B -2147483647\n",
+       "    ice_conc                (time, yc, xc) float64 1MB 0.0 0.0 0.0 ... nan nan\n",
+       "    raw_ice_conc_values     (time, yc, xc) float64 1MB nan nan nan ... nan nan\n",
+       "    status_flag             (time, yc, xc) float32 746kB 128.0 128.0 ... 1.0 1.0\n",
+       "    time_bnds               (time, nv) float64 16B 1.328e+09 1.331e+09\n",
+       "Attributes:\n",
+       "    title:                     Monthly Sea Ice Concentration Climate Data Rec...\n",
+       "    summary:                   This climate data record of sea ice concentrat...\n",
+       "    topiccategory:             Oceans ClimatologyMeteorologyAtmosphere\n",
+       "    geospatial_lat_min:        16.62393\n",
+       "    geospatial_lat_max:        90.0\n",
+       "    geospatial_lon_min:        -180.0\n",
+       "    geospatial_lon_max:        180.0\n",
+       "    geospatial_vertical_min:   0.0\n",
+       "    geospatial_vertical_max:   0.0\n",
+       "    sensor:                    SMMR,SSM/I,SSMIS\n",
+       "    platform:                  Nimbus-7,DMSP-F<08,10,11,13,14,15>,DMSP-F<16,1...\n",
+       "    time_coverage_start:       2020-02-01T00:00:00Z\n",
+       "    time_coverage_end:         2020-03-01T00:00:00Z\n",
+       "    time_coverage_duration:    P1M\n",
+       "    time_coverage_resolution:  P1M\n",
+       "    project:                   OSI SAF - EUMETSAT\n",
+       "    institution:               OSISAF - EUMETSAT\n",
+       "    creator_name:              OSISAF - EUMETSAT\n",
+       "    creator_type:              institution\n",
+       "    creator_url:               https://osi-saf.eumetsat.int/\n",
+       "    creator_email:             osi-saf.helpdesk@meteo.fr\n",
+       "    date_created:              2023-03-20\n",
+       "    cdm_data_type:             Grid\n",
+       "    spatial_resolution:        25.0 km grid spacing\n",
+       "    geospatial_bounds_crs:     EPSG:6931\n",
+       "    tracking_id:               537df889-640b-44f8-bb9f-f49d9b281ca1\n",
+       "    naming_authority:          int.eumetsat\n",
+       "    standard_name_vocabulary:  CF Standard Name Table (Version 78, 21 Septemb...\n",
+       "    product_name:              osi_saf_sea_ice_conc_climate_data_record_smmrs...\n",
+       "    keywords:                  GCMDSK:Earth Science > Cryosphere > Sea Ice > ...\n",
+       "    keywords_vocabulary:       GCMDSK:GCMD Science Keywords:https://gcmd.eart...\n",
+       "    Conventions:               CF-1.7,ACDD-1.3\n",
+       "    algorithm:                 SICCI3LF (19V, 37V, 37H)\n",
+       "    contributor_name:          Thomas Lavergne,Atle Soerensen,Rasmus Tonboe,C...\n",
+       "    contributor_role:          PrincipalInvestigator,author,author,author,aut...\n",
+       "    source:                    FCDR of SMMR / SSMI / SSMIS Brightness Tempera...\n",
+       "    product_status:            released\n",
+       "    history:                   2023-03-20T13:57:20Z creation\\n2025-02-17T11:0...\n",
+       "    product_version:           3.1\n",
+       "    product_id:                osi-450-a1\n",
+       "    doi:                       10.15770/EUM_SAF_OSI_0023\n",
+       "    references:                Product User Manual (2025),Algorithm Theoretic...\n",
+       "    license:                   http://creativecommons.org/licenses/by/4.0/"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "with xr.open_dataset(DATA_PATHS[\"nh\"], decode_times=False) as opened:\n",
+    "    north_source = opened.load()\n",
+    "\n",
+    "with xr.set_options(\n",
+    "    display_style=\"html\",\n",
+    "    display_expand_attrs=True,\n",
+    "    display_expand_coords=True,\n",
+    "    display_expand_data_vars=True,\n",
+    "    display_max_rows=90,\n",
+    "):\n",
+    "    display(north_source)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
    "id": "5edce0e9",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T00:32:15.117463Z",
-     "iopub.status.busy": "2026-05-30T00:32:15.117350Z",
-     "iopub.status.idle": "2026-05-30T00:32:15.267249Z",
-     "shell.execute_reply": "2026-05-30T00:32:15.266831Z"
+     "iopub.execute_input": "2026-05-30T00:55:39.160668Z",
+     "iopub.status.busy": "2026-05-30T00:55:39.160578Z",
+     "iopub.status.idle": "2026-05-30T00:55:39.201664Z",
+     "shell.execute_reply": "2026-05-30T00:55:39.201192Z"
     }
    },
    "outputs": [
@@ -191,14 +942,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "id": "b7ca0a5a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T00:32:15.268537Z",
-     "iopub.status.busy": "2026-05-30T00:32:15.268441Z",
-     "iopub.status.idle": "2026-05-30T00:32:15.515326Z",
-     "shell.execute_reply": "2026-05-30T00:32:15.514950Z"
+     "iopub.execute_input": "2026-05-30T00:55:39.202900Z",
+     "iopub.status.busy": "2026-05-30T00:55:39.202817Z",
+     "iopub.status.idle": "2026-05-30T00:55:39.431113Z",
+     "shell.execute_reply": "2026-05-30T00:55:39.430721Z"
     }
    },
    "outputs": [
@@ -273,14 +1024,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "id": "c016fff2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T00:32:15.516639Z",
-     "iopub.status.busy": "2026-05-30T00:32:15.516548Z",
-     "iopub.status.idle": "2026-05-30T00:32:15.556935Z",
-     "shell.execute_reply": "2026-05-30T00:32:15.556577Z"
+     "iopub.execute_input": "2026-05-30T00:55:39.432457Z",
+     "iopub.status.busy": "2026-05-30T00:55:39.432366Z",
+     "iopub.status.idle": "2026-05-30T00:55:39.465812Z",
+     "shell.execute_reply": "2026-05-30T00:55:39.465498Z"
     }
    },
    "outputs": [
@@ -850,7 +1601,7 @@
        "    area_label:            u\n",
        "    branded_variable:      siconc_tavg-u-hxy-u\n",
        "    branding_suffix:       tavg-u-hxy-u\n",
-       "    creation_date:         2026-05-30T00:32:15Z\n",
+       "    creation_date:         2026-05-30T00:55:39Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -859,7 +1610,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-30T00:32:15Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-05-30T00:55:39Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -878,14 +1629,14 @@
        "    table_info:            Name: CMIP7_seaIce.json; Creation Date:(2026-04-21...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/32ecfc05-e324-455b-ad3d-9beae5c9a02f\n",
+       "    tracking_id:           hdl:21.14107/11788684-de67-4100-96fa-552d30a9cdc2\n",
        "    variable_id:           siconc\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-624ee4d9-2dc3-4551-8baf-1ab6032a820c' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-624ee4d9-2dc3-4551-8baf-1ab6032a820c' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>x</span>: 432</li><li><span class='xr-has-index'>y</span>: 432</li><li><span>vertices</span>: 4</li></ul></div></li><li class='xr-section-item'><input id='section-d0be81ac-353b-4e36-baed-22681df47983' class='xr-section-summary-in' type='checkbox' checked /><label for='section-d0be81ac-353b-4e36-baed-22681df47983' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.539e+04</div><input id='attrs-353685a1-0b0b-416d-b143-1a90e20e8a90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-353685a1-0b0b-416d-b143-1a90e20e8a90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a82b9d6d-1bff-42be-8a23-0193c7726144' class='xr-var-data-in' type='checkbox'><label for='data-a82b9d6d-1bff-42be-8a23-0193c7726144' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1978-01-01</dd><dt><span>calendar :</span></dt><dd>standard</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15385.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.388e+06 -5.362e+06 ... 5.388e+06</div><input id='attrs-54d533d2-2248-416e-a498-85b2f9f2ff79' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54d533d2-2248-416e-a498-85b2f9f2ff79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1370e352-3a16-43de-8a64-6ce96c4fb116' class='xr-var-data-in' type='checkbox'><label for='data-1370e352-3a16-43de-8a64-6ce96c4fb116' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-5387500., -5362500., -5337500., ...,  5337500.,  5362500.,  5387500.],\n",
-       "      shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.388e+06 -5.362e+06 ... 5.388e+06</div><input id='attrs-4072e1a3-44be-4adc-814a-8641575c43ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4072e1a3-44be-4adc-814a-8641575c43ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4265b11-d3a9-4ecf-aa9f-2fd7e024bede' class='xr-var-data-in' type='checkbox'><label for='data-b4265b11-d3a9-4ecf-aa9f-2fd7e024bede' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-5387500., -5362500., -5337500., ...,  5337500.,  5362500.,  5387500.],\n",
-       "      shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.62 16.82 17.02 ... 16.82 16.62</div><input id='attrs-66e62e66-a89d-45b3-9f84-43700a4a4cc0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66e62e66-a89d-45b3-9f84-43700a4a4cc0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1878492f-bf76-4b6e-9b97-e10c5ea0cb97' class='xr-var-data-in' type='checkbox'><label for='data-1878492f-bf76-4b6e-9b97-e10c5ea0cb97' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>bounds :</span></dt><dd>vertices_latitude</dd></dl></div><div class='xr-var-data'><pre>array([[16.62392616, 16.82265472, 17.02065849, ..., 17.02065849,\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0f5f5a54-b419-4fca-ae49-de6ddb0c818e' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-0f5f5a54-b419-4fca-ae49-de6ddb0c818e' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>x</span>: 432</li><li><span class='xr-has-index'>y</span>: 432</li><li><span>vertices</span>: 4</li></ul></div></li><li class='xr-section-item'><input id='section-88d8a019-282d-4fa5-a8c3-9428838fcc9e' class='xr-section-summary-in' type='checkbox' checked /><label for='section-88d8a019-282d-4fa5-a8c3-9428838fcc9e' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.539e+04</div><input id='attrs-b6a4b50d-bfab-4aa0-91c7-40122530b28a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b6a4b50d-bfab-4aa0-91c7-40122530b28a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2fa832ec-00c7-4607-b766-f3496d2b5754' class='xr-var-data-in' type='checkbox'><label for='data-2fa832ec-00c7-4607-b766-f3496d2b5754' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1978-01-01</dd><dt><span>calendar :</span></dt><dd>standard</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15385.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.388e+06 -5.362e+06 ... 5.388e+06</div><input id='attrs-6bbecaf8-d8e7-4c8f-aa4b-393824769258' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6bbecaf8-d8e7-4c8f-aa4b-393824769258' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f63b3ebd-d0d2-4443-b0af-2d61bc121211' class='xr-var-data-in' type='checkbox'><label for='data-f63b3ebd-d0d2-4443-b0af-2d61bc121211' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-5387500., -5362500., -5337500., ...,  5337500.,  5362500.,  5387500.],\n",
+       "      shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.388e+06 -5.362e+06 ... 5.388e+06</div><input id='attrs-b1950794-9c7c-482b-8d98-d358f58e188c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1950794-9c7c-482b-8d98-d358f58e188c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa230afb-44e6-4dbe-8364-25988023240c' class='xr-var-data-in' type='checkbox'><label for='data-aa230afb-44e6-4dbe-8364-25988023240c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-5387500., -5362500., -5337500., ...,  5337500.,  5362500.,  5387500.],\n",
+       "      shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.62 16.82 17.02 ... 16.82 16.62</div><input id='attrs-f9fe5c08-5eeb-43e6-878a-1817bcde9a89' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9fe5c08-5eeb-43e6-878a-1817bcde9a89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fbf5e0a-9de7-4f07-ba1a-8e717bf553b9' class='xr-var-data-in' type='checkbox'><label for='data-1fbf5e0a-9de7-4f07-ba1a-8e717bf553b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>bounds :</span></dt><dd>vertices_latitude</dd></dl></div><div class='xr-var-data'><pre>array([[16.62392616, 16.82265472, 17.02065849, ..., 17.02065849,\n",
        "        16.82265472, 16.62392616],\n",
        "       [16.82265472, 17.02158356, 17.21979523, ..., 17.21979523,\n",
        "        17.02158356, 16.82265472],\n",
@@ -897,7 +1648,7 @@
        "       [16.82265472, 17.02158356, 17.21979523, ..., 17.21979523,\n",
        "        17.02158356, 16.82265472],\n",
        "       [16.62392616, 16.82265472, 17.02065849, ..., 17.02065849,\n",
-       "        16.82265472, 16.62392616]], shape=(432, 432))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>315.0 314.9 314.7 ... 134.9 135.0</div><input id='attrs-55ef42cc-c2bf-46f0-9473-37a69dceb6d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-55ef42cc-c2bf-46f0-9473-37a69dceb6d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c22efd4-1c4c-4508-bc5d-3570b4ca8bac' class='xr-var-data-in' type='checkbox'><label for='data-2c22efd4-1c4c-4508-bc5d-3570b4ca8bac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>bounds :</span></dt><dd>vertices_longitude</dd></dl></div><div class='xr-var-data'><pre>array([[315.        , 314.86676025, 314.73287964, ..., 225.2671051 ,\n",
+       "        16.82265472, 16.62392616]], shape=(432, 432))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>315.0 314.9 314.7 ... 134.9 135.0</div><input id='attrs-bc190b76-53d9-4a84-852b-771e9fc080d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc190b76-53d9-4a84-852b-771e9fc080d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e583347d-afed-42db-9da3-fb2f64ad4c94' class='xr-var-data-in' type='checkbox'><label for='data-e583347d-afed-42db-9da3-fb2f64ad4c94' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>bounds :</span></dt><dd>vertices_longitude</dd></dl></div><div class='xr-var-data'><pre>array([[315.        , 314.86676025, 314.73287964, ..., 225.2671051 ,\n",
        "        225.13323975, 225.        ],\n",
        "       [315.13323975, 315.        , 314.86611938, ..., 225.13386536,\n",
        "        225.        , 224.86676025],\n",
@@ -909,7 +1660,7 @@
        "       [ 44.86675262,  45.        ,  45.13386917, ..., 134.86613464,\n",
        "        135.        , 135.13323975],\n",
        "       [ 45.        ,  45.13324738,  45.26711273, ..., 134.7328949 ,\n",
-       "        134.86676025, 135.        ]], shape=(432, 432))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ad21ef67-477a-4bfd-a7af-5ee64343e533' class='xr-section-summary-in' type='checkbox' checked /><label for='section-ad21ef67-477a-4bfd-a7af-5ee64343e533' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.537e+04 1.54e+04</div><input id='attrs-012d1250-d3b6-494f-966a-a67f2f545f93' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-012d1250-d3b6-494f-966a-a67f2f545f93' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81cfdee4-44c8-4a93-8138-873643ecc071' class='xr-var-data-in' type='checkbox'><label for='data-81cfdee4-44c8-4a93-8138-873643ecc071' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[15371., 15400.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>-2147483647</div><input id='attrs-4e164f59-9670-4014-9d5b-72bd43d74216' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e164f59-9670-4014-9d5b-72bd43d74216' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34df9503-7e14-4e77-a3d8-f92e908fbe47' class='xr-var-data-in' type='checkbox'><label for='data-34df9503-7e14-4e77-a3d8-f92e908fbe47' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping_name :</span></dt><dd>lambert_azimuthal_equal_area</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>90.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_latitude</span></div><div class='xr-var-dims'>(x, y, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.42 16.62 16.82 ... 16.42 16.62</div><input id='attrs-058cf9c1-3558-4eb1-ad53-5d5b1ab8f4f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-058cf9c1-3558-4eb1-ad53-5d5b1ab8f4f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8fce8e22-9857-4cb1-bc4e-3597de0b313c' class='xr-var-data-in' type='checkbox'><label for='data-8fce8e22-9857-4cb1-bc4e-3597de0b313c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[[16.42470792, 16.62369573, 16.822885  , 16.62369573],\n",
+       "        134.86676025, 135.        ]], shape=(432, 432))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c0c9ceee-bd5b-49c6-b68d-3297c5983307' class='xr-section-summary-in' type='checkbox' checked /><label for='section-c0c9ceee-bd5b-49c6-b68d-3297c5983307' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.537e+04 1.54e+04</div><input id='attrs-72c7a212-ac17-4744-9c37-d78320a06b97' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-72c7a212-ac17-4744-9c37-d78320a06b97' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15338de9-5174-4530-b4d1-f4da16543003' class='xr-var-data-in' type='checkbox'><label for='data-15338de9-5174-4530-b4d1-f4da16543003' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[15371., 15400.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>-2147483647</div><input id='attrs-4af990c8-feaf-4d57-9ae6-1e50919d4a16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4af990c8-feaf-4d57-9ae6-1e50919d4a16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1ade03c-548f-43d5-98a8-501b6aa03947' class='xr-var-data-in' type='checkbox'><label for='data-a1ade03c-548f-43d5-98a8-501b6aa03947' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping_name :</span></dt><dd>lambert_azimuthal_equal_area</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>90.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_latitude</span></div><div class='xr-var-dims'>(x, y, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.42 16.62 16.82 ... 16.42 16.62</div><input id='attrs-8df919bb-8051-46d3-983d-0e2fe8491076' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8df919bb-8051-46d3-983d-0e2fe8491076' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6a72ea1-295d-4d4b-afce-175ca99deea4' class='xr-var-data-in' type='checkbox'><label for='data-a6a72ea1-295d-4d4b-afce-175ca99deea4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[[16.42470792, 16.62369573, 16.822885  , 16.62369573],\n",
        "        [16.822885  , 17.02135298, 17.22002648, 17.02135298],\n",
        "        [17.22002648, 17.41798082, 17.61614471, 17.41798082],\n",
        "        ...,\n",
@@ -949,7 +1700,7 @@
        "        [17.61614471, 17.41798082, 17.22002648, 17.41798082],\n",
        "        [17.22002648, 17.02135298, 16.822885  , 17.02135298],\n",
        "        [16.822885  , 16.62369573, 16.42470792, 16.62369573]]],\n",
-       "      shape=(432, 432, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_longitude</span></div><div class='xr-var-dims'>(x, y, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>315.0 315.1 315.0 ... 135.0 135.1</div><input id='attrs-dcc4be5b-62c0-4707-95f5-493ec87c5e22' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dcc4be5b-62c0-4707-95f5-493ec87c5e22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5ee069b-2790-45d2-8fde-4a0d36910a3e' class='xr-var-data-in' type='checkbox'><label for='data-d5ee069b-2790-45d2-8fde-4a0d36910a3e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[[315.        , 315.1329366 , 315.        , 314.8670634 ],\n",
+       "      shape=(432, 432, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_longitude</span></div><div class='xr-var-dims'>(x, y, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>315.0 315.1 315.0 ... 135.0 135.1</div><input id='attrs-b042dd10-4bd9-498a-bcde-966d1a55d757' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b042dd10-4bd9-498a-bcde-966d1a55d757' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19674f50-56d0-4b60-b318-c3ae8f278ec0' class='xr-var-data-in' type='checkbox'><label for='data-19674f50-56d0-4b60-b318-c3ae8f278ec0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[[315.        , 315.1329366 , 315.        , 314.8670634 ],\n",
        "        [315.        , 315.1329366 , 315.        , 314.8670634 ],\n",
        "        [315.        , 315.1329366 , 315.        , 314.8670634 ],\n",
        "        ...,\n",
@@ -989,14 +1740,14 @@
        "        [135.        , 134.8670634 , 135.        , 135.1329366 ],\n",
        "        [135.        , 134.8670634 , 135.        , 135.1329366 ],\n",
        "        [135.        , 134.8670634 , 135.        , 135.1329366 ]]],\n",
-       "      shape=(432, 432, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>siconc</span></div><div class='xr-var-dims'>(time, x, y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-7c0128e6-5a7d-47d1-97d9-d791a157f987' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c0128e6-5a7d-47d1-97d9-d791a157f987' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3cb29057-04f3-4444-a60f-c81fdea921db' class='xr-var-data-in' type='checkbox'><label for='data-3cb29057-04f3-4444-a60f-c81fdea921db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction</dd><dt><span>long_name :</span></dt><dd>Sea-Ice Area Percentage (Ocean Grid)</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "      shape=(432, 432, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>siconc</span></div><div class='xr-var-dims'>(time, x, y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-19bd2509-6887-4602-bbc6-dac2a46c924c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-19bd2509-6887-4602-bbc6-dac2a46c924c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c1ca4dc-f483-4deb-ba6d-4a202a9c90ba' class='xr-var-data-in' type='checkbox'><label for='data-3c1ca4dc-f483-4deb-ba6d-4a202a9c90ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction</dd><dt><span>long_name :</span></dt><dd>Sea-Ice Area Percentage (Ocean Grid)</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "        ...,\n",
        "        [nan, nan, nan, ...,  0.,  0.,  0.],\n",
        "        [nan, nan, nan, ...,  0.,  0.,  0.],\n",
        "        [nan, nan, nan, ...,  0.,  0.,  0.]]],\n",
-       "      shape=(1, 432, 432), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-76a31a28-7213-4531-8724-140d55b13d57' class='xr-section-summary-in' type='checkbox' checked /><label for='section-76a31a28-7213-4531-8724-140d55b13d57' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(39)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>siconc_tavg-u-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-30T00:32:15Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-30T00:32:15Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>25 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>seaIce</dd><dt><span>region :</span></dt><dd>nh</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_seaIce.json; Creation Date:(2026-04-21 15:01:29) MD5:ac55986d4e9ece44a638ff080fdd9ada</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/32ecfc05-e324-455b-ad3d-9beae5c9a02f</dd><dt><span>variable_id :</span></dt><dd>siconc</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+       "      shape=(1, 432, 432), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-db6563d4-498a-4074-b23e-9e63e1c5ee3d' class='xr-section-summary-in' type='checkbox' checked /><label for='section-db6563d4-498a-4074-b23e-9e63e1c5ee3d' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(39)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>siconc_tavg-u-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-30T00:55:39Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-30T00:55:39Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>25 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>seaIce</dd><dt><span>region :</span></dt><dd>nh</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_seaIce.json; Creation Date:(2026-04-21 15:01:29) MD5:ac55986d4e9ece44a638ff080fdd9ada</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/11788684-de67-4100-96fa-552d30a9cdc2</dd><dt><span>variable_id :</span></dt><dd>siconc</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 16MB\n",
@@ -1020,7 +1771,7 @@
        "    area_label:            u\n",
        "    branded_variable:      siconc_tavg-u-hxy-u\n",
        "    branding_suffix:       tavg-u-hxy-u\n",
-       "    creation_date:         2026-05-30T00:32:15Z\n",
+       "    creation_date:         2026-05-30T00:55:39Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -1029,7 +1780,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-30T00:32:15Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-05-30T00:55:39Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1048,7 +1799,7 @@
        "    table_info:            Name: CMIP7_seaIce.json; Creation Date:(2026-04-21...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/32ecfc05-e324-455b-ad3d-9beae5c9a02f\n",
+       "    tracking_id:           hdl:21.14107/11788684-de67-4100-96fa-552d30a9cdc2\n",
        "    variable_id:           siconc\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
@@ -1076,14 +1827,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "id": "8cf16c62",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T00:32:15.558148Z",
-     "iopub.status.busy": "2026-05-30T00:32:15.558069Z",
-     "iopub.status.idle": "2026-05-30T00:32:16.316783Z",
-     "shell.execute_reply": "2026-05-30T00:32:16.316406Z"
+     "iopub.execute_input": "2026-05-30T00:55:39.467396Z",
+     "iopub.status.busy": "2026-05-30T00:55:39.467302Z",
+     "iopub.status.idle": "2026-05-30T00:55:40.228079Z",
+     "shell.execute_reply": "2026-05-30T00:55:40.227583Z"
     }
    },
    "outputs": [

From 4f58e97383e4f6ce2c2f7f2d54968daa6d9920ae Mon Sep 17 00:00:00 2001
From: Chris Mauzey <mauzey1@llnl.gov>
Date: Sat, 30 May 2026 09:26:42 -0700
Subject: [PATCH 17/25] Remove unnecessary user parameters

---
 notebooks/01_basic_ocean_surface_temperature.ipynb   | 3 ---
 notebooks/02_atmos_surface_air_temperature.ipynb     | 3 ---
 notebooks/03_pressure_level_air_temperature.ipynb    | 3 ---
 notebooks/04_hybrid_sigma_zfactors.ipynb             | 3 ---
 notebooks/05_curvilinear_ocean_grid.ipynb            | 3 ---
 notebooks/06_non_lat_lon_sea_ice_concentration.ipynb | 3 ---
 6 files changed, 18 deletions(-)

diff --git a/notebooks/01_basic_ocean_surface_temperature.ipynb b/notebooks/01_basic_ocean_surface_temperature.ipynb
index 141eadd4..756d4215 100644
--- a/notebooks/01_basic_ocean_surface_temperature.ipynb
+++ b/notebooks/01_basic_ocean_surface_temperature.ipynb
@@ -85,7 +85,6 @@
     "    \"_controlled_vocabulary_file\": CV_PATH,\n",
     "    \"activity_id\": \"CMIP\",\n",
     "    \"calendar\": \"360_day\",\n",
-    "    \"drs_specs\": \"MIP-DRS7\",\n",
     "    \"experiment_id\": \"amip\",\n",
     "    \"forcing_index\": \"f3\",\n",
     "    \"frequency\": \"mon\",\n",
@@ -94,14 +93,12 @@
     "    \"initialization_index\": \"i1\",\n",
     "    \"institution_id\": \"CCCma\",\n",
     "    \"license_id\": \"CC-BY-4.0\",\n",
-    "    \"mip_era\": \"CMIP7\",\n",
     "    \"nominal_resolution\": \"100 km\",\n",
     "    \"outpath\": str(output_dir),\n",
     "    \"physics_index\": \"p1\",\n",
     "    \"realization_index\": \"r9\",\n",
     "    \"region\": \"glb\",\n",
     "    \"source_id\": \"DUMMY-MODEL\",\n",
-    "    \"tracking_prefix\": \"hdl:21.14107\",\n",
     "}\n",
     "input_json = run_dir / \"input.json\"\n",
     "input_json.write_text(json.dumps(DATASET_INFO, indent=2, sort_keys=True))\n",
diff --git a/notebooks/02_atmos_surface_air_temperature.ipynb b/notebooks/02_atmos_surface_air_temperature.ipynb
index 5319adde..c8a4277a 100644
--- a/notebooks/02_atmos_surface_air_temperature.ipynb
+++ b/notebooks/02_atmos_surface_air_temperature.ipynb
@@ -85,7 +85,6 @@
     "    \"_controlled_vocabulary_file\": CV_PATH,\n",
     "    \"activity_id\": \"CMIP\",\n",
     "    \"calendar\": \"360_day\",\n",
-    "    \"drs_specs\": \"MIP-DRS7\",\n",
     "    \"experiment_id\": \"amip\",\n",
     "    \"forcing_index\": \"f3\",\n",
     "    \"frequency\": \"mon\",\n",
@@ -94,14 +93,12 @@
     "    \"initialization_index\": \"i1\",\n",
     "    \"institution_id\": \"CCCma\",\n",
     "    \"license_id\": \"CC-BY-4.0\",\n",
-    "    \"mip_era\": \"CMIP7\",\n",
     "    \"nominal_resolution\": \"100 km\",\n",
     "    \"outpath\": str(output_dir),\n",
     "    \"physics_index\": \"p1\",\n",
     "    \"realization_index\": \"r9\",\n",
     "    \"region\": \"glb\",\n",
     "    \"source_id\": \"DUMMY-MODEL\",\n",
-    "    \"tracking_prefix\": \"hdl:21.14107\",\n",
     "}\n",
     "input_json = run_dir / \"input.json\"\n",
     "input_json.write_text(json.dumps(DATASET_INFO, indent=2, sort_keys=True))\n",
diff --git a/notebooks/03_pressure_level_air_temperature.ipynb b/notebooks/03_pressure_level_air_temperature.ipynb
index 963b6b1a..1d6a7721 100644
--- a/notebooks/03_pressure_level_air_temperature.ipynb
+++ b/notebooks/03_pressure_level_air_temperature.ipynb
@@ -85,7 +85,6 @@
     "    \"_controlled_vocabulary_file\": CV_PATH,\n",
     "    \"activity_id\": \"CMIP\",\n",
     "    \"calendar\": \"360_day\",\n",
-    "    \"drs_specs\": \"MIP-DRS7\",\n",
     "    \"experiment_id\": \"amip\",\n",
     "    \"forcing_index\": \"f3\",\n",
     "    \"frequency\": \"mon\",\n",
@@ -94,14 +93,12 @@
     "    \"initialization_index\": \"i1\",\n",
     "    \"institution_id\": \"CCCma\",\n",
     "    \"license_id\": \"CC-BY-4.0\",\n",
-    "    \"mip_era\": \"CMIP7\",\n",
     "    \"nominal_resolution\": \"100 km\",\n",
     "    \"outpath\": str(output_dir),\n",
     "    \"physics_index\": \"p1\",\n",
     "    \"realization_index\": \"r9\",\n",
     "    \"region\": \"glb\",\n",
     "    \"source_id\": \"DUMMY-MODEL\",\n",
-    "    \"tracking_prefix\": \"hdl:21.14107\",\n",
     "}\n",
     "input_json = run_dir / \"input.json\"\n",
     "input_json.write_text(json.dumps(DATASET_INFO, indent=2, sort_keys=True))\n",
diff --git a/notebooks/04_hybrid_sigma_zfactors.ipynb b/notebooks/04_hybrid_sigma_zfactors.ipynb
index 82e0788b..a29a4b49 100644
--- a/notebooks/04_hybrid_sigma_zfactors.ipynb
+++ b/notebooks/04_hybrid_sigma_zfactors.ipynb
@@ -85,7 +85,6 @@
     "    \"_controlled_vocabulary_file\": CV_PATH,\n",
     "    \"activity_id\": \"CMIP\",\n",
     "    \"calendar\": \"360_day\",\n",
-    "    \"drs_specs\": \"MIP-DRS7\",\n",
     "    \"experiment_id\": \"amip\",\n",
     "    \"forcing_index\": \"f3\",\n",
     "    \"frequency\": \"mon\",\n",
@@ -94,14 +93,12 @@
     "    \"initialization_index\": \"i1\",\n",
     "    \"institution_id\": \"CCCma\",\n",
     "    \"license_id\": \"CC-BY-4.0\",\n",
-    "    \"mip_era\": \"CMIP7\",\n",
     "    \"nominal_resolution\": \"100 km\",\n",
     "    \"outpath\": str(output_dir),\n",
     "    \"physics_index\": \"p1\",\n",
     "    \"realization_index\": \"r9\",\n",
     "    \"region\": \"glb\",\n",
     "    \"source_id\": \"DUMMY-MODEL\",\n",
-    "    \"tracking_prefix\": \"hdl:21.14107\",\n",
     "}\n",
     "input_json = run_dir / \"input.json\"\n",
     "input_json.write_text(json.dumps(DATASET_INFO, indent=2, sort_keys=True))\n",
diff --git a/notebooks/05_curvilinear_ocean_grid.ipynb b/notebooks/05_curvilinear_ocean_grid.ipynb
index e1f219af..680ef255 100644
--- a/notebooks/05_curvilinear_ocean_grid.ipynb
+++ b/notebooks/05_curvilinear_ocean_grid.ipynb
@@ -85,7 +85,6 @@
     "    \"_controlled_vocabulary_file\": CV_PATH,\n",
     "    \"activity_id\": \"CMIP\",\n",
     "    \"calendar\": \"360_day\",\n",
-    "    \"drs_specs\": \"MIP-DRS7\",\n",
     "    \"experiment_id\": \"amip\",\n",
     "    \"forcing_index\": \"f3\",\n",
     "    \"frequency\": \"mon\",\n",
@@ -94,14 +93,12 @@
     "    \"initialization_index\": \"i1\",\n",
     "    \"institution_id\": \"CCCma\",\n",
     "    \"license_id\": \"CC-BY-4.0\",\n",
-    "    \"mip_era\": \"CMIP7\",\n",
     "    \"nominal_resolution\": \"100 km\",\n",
     "    \"outpath\": str(output_dir),\n",
     "    \"physics_index\": \"p1\",\n",
     "    \"realization_index\": \"r9\",\n",
     "    \"region\": \"glb\",\n",
     "    \"source_id\": \"DUMMY-MODEL\",\n",
-    "    \"tracking_prefix\": \"hdl:21.14107\",\n",
     "}\n",
     "input_json = run_dir / \"input.json\"\n",
     "input_json.write_text(json.dumps(DATASET_INFO, indent=2, sort_keys=True))\n",
diff --git a/notebooks/06_non_lat_lon_sea_ice_concentration.ipynb b/notebooks/06_non_lat_lon_sea_ice_concentration.ipynb
index eee558b8..da73bfa5 100644
--- a/notebooks/06_non_lat_lon_sea_ice_concentration.ipynb
+++ b/notebooks/06_non_lat_lon_sea_ice_concentration.ipynb
@@ -854,7 +854,6 @@
     "    \"_controlled_vocabulary_file\": CV_PATH,\n",
     "    \"activity_id\": \"CMIP\",\n",
     "    \"calendar\": \"standard\",\n",
-    "    \"drs_specs\": \"MIP-DRS7\",\n",
     "    \"experiment_id\": \"amip\",\n",
     "    \"forcing_index\": \"f3\",\n",
     "    \"frequency\": \"mon\",\n",
@@ -863,12 +862,10 @@
     "    \"initialization_index\": \"i1\",\n",
     "    \"institution_id\": \"CCCma\",\n",
     "    \"license_id\": \"CC-BY-4.0\",\n",
-    "    \"mip_era\": \"CMIP7\",\n",
     "    \"nominal_resolution\": \"25 km\",\n",
     "    \"physics_index\": \"p1\",\n",
     "    \"realization_index\": \"r9\",\n",
     "    \"source_id\": \"DUMMY-MODEL\",\n",
-    "    \"tracking_prefix\": \"hdl:21.14107\",\n",
     "}\n",
     "\n",
     "\n",

From 9a9cb282ac739bd9e195d648a3544b9c2db5b0d7 Mon Sep 17 00:00:00 2001
From: Chris Mauzey <mauzey1@llnl.gov>
Date: Sat, 30 May 2026 09:56:15 -0700
Subject: [PATCH 18/25] Use real model data for example 1

---
 .../01_basic_ocean_surface_temperature.ipynb  | 1202 ++++++++++++++---
 ...CanCM4_decadal1982_r5i1p1_198301-198310.nc |  Bin 0 -> 2012949 bytes
 2 files changed, 1047 insertions(+), 155 deletions(-)
 create mode 100644 notebooks/data/tos_Omon_CanCM4_decadal1982_r5i1p1_198301-198310.nc

diff --git a/notebooks/01_basic_ocean_surface_temperature.ipynb b/notebooks/01_basic_ocean_surface_temperature.ipynb
index 756d4215..e27f0ca9 100644
--- a/notebooks/01_basic_ocean_surface_temperature.ipynb
+++ b/notebooks/01_basic_ocean_surface_temperature.ipynb
@@ -14,10 +14,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T00:14:05.904315Z",
-     "iopub.status.busy": "2026-05-30T00:14:05.904211Z",
-     "iopub.status.idle": "2026-05-30T00:14:06.400726Z",
-     "shell.execute_reply": "2026-05-30T00:14:06.400288Z"
+     "iopub.execute_input": "2026-05-30T16:52:01.092716Z",
+     "iopub.status.busy": "2026-05-30T16:52:01.092609Z",
+     "iopub.status.idle": "2026-05-30T16:52:01.998204Z",
+     "shell.execute_reply": "2026-05-30T16:52:01.997758Z"
     }
    },
    "outputs": [
@@ -43,10 +43,13 @@
     "\n",
     "TABLES_DIR = \"../cmip7-cmor-tables/tables\"\n",
     "CV_PATH = \"../cmip7-cmor-tables/tables-cvs/cmor-cvs.json\"\n",
+    "DATA_PATH = Path(\"data\") / \"tos_Omon_CanCM4_decadal1982_r5i1p1_198301-198310.nc\"\n",
     "if not Path(TABLES_DIR).exists():\n",
     "    raise FileNotFoundError(f\"CMIP7 tables directory not found: {TABLES_DIR}\")\n",
     "if not Path(CV_PATH).exists():\n",
     "    raise FileNotFoundError(f\"CMIP7 CV file not found: {CV_PATH}\")\n",
+    "if not DATA_PATH.exists():\n",
+    "    raise FileNotFoundError(f\"Source data file not found: {DATA_PATH}\")\n",
     "\n",
     "print(f\"Using CMIP7 tables from {TABLES_DIR}\")\n"
    ]
@@ -56,22 +59,847 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T00:14:06.415901Z",
-     "iopub.status.busy": "2026-05-30T00:14:06.415717Z",
-     "iopub.status.idle": "2026-05-30T00:14:06.421133Z",
-     "shell.execute_reply": "2026-05-30T00:14:06.420825Z"
+     "iopub.execute_input": "2026-05-30T16:52:02.014761Z",
+     "iopub.status.busy": "2026-05-30T16:52:02.014597Z",
+     "iopub.status.idle": "2026-05-30T16:52:02.175113Z",
+     "shell.execute_reply": "2026-05-30T16:52:02.174321Z"
     }
    },
    "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
+       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, white)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
+       "body[data-theme=\"dark\"],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "  line-height: 1.6;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "  margin-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-obj-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-group-box-contents > label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "  margin-block-start: 0;\n",
+       "  margin-block-end: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input,\n",
+       ".xr-group-box-contents > input,\n",
+       ".xr-array-wrap > input {\n",
+       "  display: block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input + label,\n",
+       ".xr-var-item > input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label,\n",
+       ".xr-var-item > input:enabled + label,\n",
+       ".xr-array-wrap > input:enabled + label,\n",
+       ".xr-group-box-contents > input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:focus-visible + label,\n",
+       ".xr-var-item > input:focus-visible + label,\n",
+       ".xr-array-wrap > input:focus-visible + label,\n",
+       ".xr-group-box-contents > input:focus-visible + label {\n",
+       "  outline: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label:hover,\n",
+       ".xr-var-item > input:enabled + label:hover,\n",
+       ".xr-array-wrap > input:enabled + label:hover,\n",
+       ".xr-group-box-contents > input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "  white-space: nowrap;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > em {\n",
+       "  font-weight: normal;\n",
+       "}\n",
+       "\n",
+       ".xr-span-grid {\n",
+       "  grid-column-end: -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.6em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details,\n",
+       ".xr-group-box-contents > label {\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-top: 4px;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in ~ .xr-section-details {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-children {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 100%;\n",
+       "  grid-column: 1 / -1;\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 0px 30px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-vline {\n",
+       "  grid-column-start: 1;\n",
+       "  border-right: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "  width: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-hline {\n",
+       "  grid-column-start: 2;\n",
+       "  grid-row-start: 1;\n",
+       "  height: 1em;\n",
+       "  width: 26px;\n",
+       "  border-bottom: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents {\n",
+       "  grid-column-start: 3;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > label::before {\n",
+       "  content: \"📂\";\n",
+       "  padding-right: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label::before {\n",
+       "  content: \"📁\";\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label {\n",
+       "  padding-bottom: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-ellipsis {\n",
+       "  font-size: 1.4em;\n",
+       "  font-weight: 900;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  letter-spacing: 0.15em;\n",
+       "  cursor: default;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 2MB\n",
+       "Dimensions:    (time: 10, bnds: 2, lat: 192, lon: 256)\n",
+       "Coordinates:\n",
+       "  * time       (time) float64 80B 4.856e+04 4.859e+04 ... 4.88e+04 4.883e+04\n",
+       "  * lat        (lat) float64 2kB -89.43 -88.29 -87.15 ... 87.15 88.29 89.43\n",
+       "  * lon        (lon) float64 2kB 0.7031 2.109 3.516 4.922 ... 356.5 357.9 359.3\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) float64 160B 4.854e+04 4.858e+04 ... 4.885e+04\n",
+       "    lat_bnds   (lat, bnds) float64 3kB -90.0 -88.86 -88.86 ... 88.86 88.86 90.0\n",
+       "    lon_bnds   (lon, bnds) float64 4kB 0.0 1.406 1.406 ... 358.6 358.6 360.0\n",
+       "    tos        (time, lat, lon) float32 2MB nan nan nan ... 271.2 271.2 271.2\n",
+       "Attributes:\n",
+       "    institution:            CCCma (Canadian Centre for Climate Modelling and ...\n",
+       "    institute_id:           CCCma\n",
+       "    experiment_id:          decadal1982\n",
+       "    source:                 CanCM4 2010 atmosphere: CanAM4 (AGCM15i, T63L35) ...\n",
+       "    model_id:               CanCM4\n",
+       "    forcing:                GHG,Oz,SA,BC,OC,LU,Sl,Vl (GHG includes CO2,CH4,N2...\n",
+       "    parent_experiment_id:   N/A\n",
+       "    parent_experiment_rip:  N/A\n",
+       "    branch_time:            0.0\n",
+       "    contact:                cccma_info@ec.gc.ca\n",
+       "    references:             http://www.cccma.ec.gc.ca/models\n",
+       "    initialization_method:  1\n",
+       "    physics_version:        1\n",
+       "    tracking_id:            5152f593-3451-453f-9c5f-b45e46a2efc0\n",
+       "    branch_time_YMDH:       1983:01:01:00\n",
+       "    CCCma_runid:            DHFP1B_E005_I1983_M01\n",
+       "    CCCma_parent_runid:     DHFP1_E005\n",
+       "    CCCma_data_licence:     1) GRANT OF LICENCE - The Government of Canada (E...\n",
+       "    product:                output\n",
+       "    experiment:             10- or 30-year run initialized in year 1982\n",
+       "    frequency:              mon\n",
+       "    creation_date:          2011-07-13T02:25:29Z\n",
+       "    history:                2011-07-13T02:25:29Z CMOR rewrote data to comply ...\n",
+       "    Conventions:            CF-1.4\n",
+       "    project_id:             CMIP5\n",
+       "    table_id:               Table Omon (28 March 2011) d71862c6fdafa47720d8a4...\n",
+       "    title:                  CanCM4 model output prepared for CMIP5 10- or 30-...\n",
+       "    parent_experiment:      N/A\n",
+       "    modeling_realm:         ocean\n",
+       "    realization:            5\n",
+       "    cmor_version:           2.5.4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-31be5fe4-33bc-44c1-84c8-88fa80d1cd81' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-31be5fe4-33bc-44c1-84c8-88fa80d1cd81' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 192</li><li><span class='xr-has-index'>lon</span>: 256</li></ul></div></li><li class='xr-section-item'><input id='section-9321857a-6723-407e-8b75-fcdd66452736' class='xr-section-summary-in' type='checkbox' checked /><label for='section-9321857a-6723-407e-8b75-fcdd66452736' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.856e+04 4.859e+04 ... 4.883e+04</div><input id='attrs-e4c68c57-3f20-4006-9599-f35ca92ca903' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4c68c57-3f20-4006-9599-f35ca92ca903' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e9b51eb-50f4-4d2f-8027-6cf5547d1fe9' class='xr-var-data-in' type='checkbox'><label for='data-9e9b51eb-50f4-4d2f-8027-6cf5547d1fe9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-1-1</dd><dt><span>calendar :</span></dt><dd>365_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([48560.5, 48590. , 48619.5, 48650. , 48680.5, 48711. , 48741.5, 48772.5,\n",
+       "       48803. , 48833.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.43 -88.29 ... 88.29 89.43</div><input id='attrs-0f228f3f-c338-45c8-aa62-d48d2dc0a391' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f228f3f-c338-45c8-aa62-d48d2dc0a391' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3a237c0-9df7-456c-8898-26a6c946ccbd' class='xr-var-data-in' type='checkbox'><label for='data-b3a237c0-9df7-456c-8898-26a6c946ccbd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.429619, -88.288872, -87.148125, -86.107635, -85.167389, -84.22715 ,\n",
+       "       -83.290031, -82.356026, -81.42202 , -80.488907, -79.556686, -78.624458,\n",
+       "       -77.692612, -76.761139, -75.829674, -74.898399, -73.967316, -73.03624 ,\n",
+       "       -72.10527 , -71.174423, -70.243568, -69.31279 , -68.382088, -67.451378,\n",
+       "       -66.520721, -65.590111, -64.6595  , -63.728931, -62.798389, -61.867851,\n",
+       "       -60.937336, -60.006847, -59.076359, -58.145885, -57.215435, -56.284985,\n",
+       "       -55.354546, -54.424126, -53.493702, -52.563293, -51.632893, -50.702496,\n",
+       "       -49.772106, -48.841724, -47.911343, -46.980972, -46.050606, -45.120239,\n",
+       "       -44.18988 , -43.259525, -42.329174, -41.398827, -40.468483, -39.538139,\n",
+       "       -38.6078  , -37.677464, -36.747131, -35.816799, -34.886471, -33.956142,\n",
+       "       -33.025818, -32.095497, -31.165176, -30.234856, -29.304539, -28.374222,\n",
+       "       -27.443909, -26.513596, -25.583282, -24.652971, -23.722664, -22.792355,\n",
+       "       -21.862047, -20.931742, -20.001434, -19.071131, -18.140827, -17.210524,\n",
+       "       -16.28022 , -15.34992 , -14.419619, -13.489318, -12.559018, -11.628718,\n",
+       "       -10.698419,  -9.768121,  -8.837822,  -7.907524,  -6.977227,  -6.046929,\n",
+       "        -5.116632,  -4.186335,  -3.256038,  -2.325742,  -1.395445,  -0.465148,\n",
+       "         0.465148,   1.395445,   2.325742,   3.256038,   4.186335,   5.116632,\n",
+       "         6.046929,   6.977227,   7.907525,   8.837822,   9.768121,  10.69842 ,\n",
+       "        11.628718,  12.559018,  13.489318,  14.419619,  15.34992 ,  16.28022 ,\n",
+       "        17.210524,  18.140827,  19.071131,  20.001434,  20.931742,  21.862047,\n",
+       "        22.792355,  23.722664,  24.652973,  25.583282,  26.513596,  27.443909,\n",
+       "        28.374224,  29.304539,  30.234856,  31.165176,  32.095497,  33.025818,\n",
+       "        33.956142,  34.886471,  35.816799,  36.747131,  37.677464,  38.6078  ,\n",
+       "        39.538139,  40.468483,  41.398827,  42.329174,  43.259525,  44.18988 ,\n",
+       "        45.120239,  46.050606,  46.980972,  47.911343,  48.841724,  49.772106,\n",
+       "        50.702496,  51.632893,  52.563293,  53.493702,  54.424126,  55.354546,\n",
+       "        56.284985,  57.215435,  58.145885,  59.076359,  60.006847,  60.937336,\n",
+       "        61.867851,  62.798389,  63.728931,  64.6595  ,  65.590111,  66.520721,\n",
+       "        67.451378,  68.382088,  69.31279 ,  70.243568,  71.174423,  72.10527 ,\n",
+       "        73.03624 ,  73.967316,  74.898399,  75.829674,  76.761139,  77.692612,\n",
+       "        78.624458,  79.556686,  80.488907,  81.42202 ,  82.356026,  83.290031,\n",
+       "        84.22715 ,  85.167389,  86.107635,  87.148125,  88.288872,  89.429619])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.7031 2.109 3.516 ... 357.9 359.3</div><input id='attrs-f9e71f5c-dc73-4c41-b155-515764c3b96a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9e71f5c-dc73-4c41-b155-515764c3b96a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6fc3c42-2ef0-4789-8a55-3187341faca4' class='xr-var-data-in' type='checkbox'><label for='data-a6fc3c42-2ef0-4789-8a55-3187341faca4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.703125,   2.109375,   3.515625, ..., 356.484375, 357.890625,\n",
+       "       359.296875], shape=(256,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2f7f0f09-f927-4354-ad2e-289851931d48' class='xr-section-summary-in' type='checkbox' checked /><label for='section-2f7f0f09-f927-4354-ad2e-289851931d48' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.854e+04 4.858e+04 ... 4.885e+04</div><input id='attrs-bd50d194-7cde-4d11-810d-755b812d4774' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bd50d194-7cde-4d11-810d-755b812d4774' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b1329d9-d3d5-46c1-ad5f-6ad0ff8c3a84' class='xr-var-data-in' type='checkbox'><label for='data-9b1329d9-d3d5-46c1-ad5f-6ad0ff8c3a84' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[48545., 48576.],\n",
+       "       [48576., 48604.],\n",
+       "       [48604., 48635.],\n",
+       "       [48635., 48665.],\n",
+       "       [48665., 48696.],\n",
+       "       [48696., 48726.],\n",
+       "       [48726., 48757.],\n",
+       "       [48757., 48788.],\n",
+       "       [48788., 48818.],\n",
+       "       [48818., 48849.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.86 -88.86 ... 88.86 90.0</div><input id='attrs-2cb52ce5-9bcd-4106-88d9-0fa03c213bc4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2cb52ce5-9bcd-4106-88d9-0fa03c213bc4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a9b44df-ac2a-4b90-be8f-8af979a03fc1' class='xr-var-data-in' type='checkbox'><label for='data-7a9b44df-ac2a-4b90-be8f-8af979a03fc1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-9.00000000e+01, -8.88592453e+01],\n",
+       "       [-8.88592453e+01, -8.77184982e+01],\n",
+       "       [-8.77184982e+01, -8.65777512e+01],\n",
+       "       [-8.65777512e+01, -8.56375122e+01],\n",
+       "       [-8.56375122e+01, -8.46972733e+01],\n",
+       "       [-8.46972733e+01, -8.37570343e+01],\n",
+       "       [-8.37570343e+01, -8.28230286e+01],\n",
+       "       [-8.28230286e+01, -8.18890228e+01],\n",
+       "       [-8.18890228e+01, -8.09550171e+01],\n",
+       "       [-8.09550171e+01, -8.00227966e+01],\n",
+       "       [-8.00227966e+01, -7.90905685e+01],\n",
+       "       [-7.90905685e+01, -7.81583481e+01],\n",
+       "       [-7.81583481e+01, -7.72268753e+01],\n",
+       "       [-7.72268753e+01, -7.62954102e+01],\n",
+       "       [-7.62954102e+01, -7.53639374e+01],\n",
+       "       [-7.53639374e+01, -7.44328613e+01],\n",
+       "       [-7.44328613e+01, -7.35017776e+01],\n",
+       "       [-7.35017776e+01, -7.25707016e+01],\n",
+       "       [-7.25707016e+01, -7.16398468e+01],\n",
+       "       [-7.16398468e+01, -7.07089920e+01],\n",
+       "...\n",
+       "       [ 7.07089920e+01,  7.16398468e+01],\n",
+       "       [ 7.16398468e+01,  7.25707016e+01],\n",
+       "       [ 7.25707016e+01,  7.35017776e+01],\n",
+       "       [ 7.35017776e+01,  7.44328613e+01],\n",
+       "       [ 7.44328613e+01,  7.53639374e+01],\n",
+       "       [ 7.53639374e+01,  7.62954102e+01],\n",
+       "       [ 7.62954102e+01,  7.72268753e+01],\n",
+       "       [ 7.72268753e+01,  7.81583481e+01],\n",
+       "       [ 7.81583481e+01,  7.90905685e+01],\n",
+       "       [ 7.90905685e+01,  8.00227966e+01],\n",
+       "       [ 8.00227966e+01,  8.09550171e+01],\n",
+       "       [ 8.09550171e+01,  8.18890228e+01],\n",
+       "       [ 8.18890228e+01,  8.28230286e+01],\n",
+       "       [ 8.28230286e+01,  8.37570343e+01],\n",
+       "       [ 8.37570343e+01,  8.46972733e+01],\n",
+       "       [ 8.46972733e+01,  8.56375122e+01],\n",
+       "       [ 8.56375122e+01,  8.65777512e+01],\n",
+       "       [ 8.65777512e+01,  8.77184982e+01],\n",
+       "       [ 8.77184982e+01,  8.88592453e+01],\n",
+       "       [ 8.88592453e+01,  9.00000000e+01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.406 1.406 ... 358.6 360.0</div><input id='attrs-ac089902-c06b-451c-8203-708c2df431c1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ac089902-c06b-451c-8203-708c2df431c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-868db26f-a56f-4438-bdd2-4acce33aa33a' class='xr-var-data-in' type='checkbox'><label for='data-868db26f-a56f-4438-bdd2-4acce33aa33a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.     ,   1.40625],\n",
+       "       [  1.40625,   2.8125 ],\n",
+       "       [  2.8125 ,   4.21875],\n",
+       "       [  4.21875,   5.625  ],\n",
+       "       [  5.625  ,   7.03125],\n",
+       "       [  7.03125,   8.4375 ],\n",
+       "       [  8.4375 ,   9.84375],\n",
+       "       [  9.84375,  11.25   ],\n",
+       "       [ 11.25   ,  12.65625],\n",
+       "       [ 12.65625,  14.0625 ],\n",
+       "       [ 14.0625 ,  15.46875],\n",
+       "       [ 15.46875,  16.875  ],\n",
+       "       [ 16.875  ,  18.28125],\n",
+       "       [ 18.28125,  19.6875 ],\n",
+       "       [ 19.6875 ,  21.09375],\n",
+       "       [ 21.09375,  22.5    ],\n",
+       "       [ 22.5    ,  23.90625],\n",
+       "       [ 23.90625,  25.3125 ],\n",
+       "       [ 25.3125 ,  26.71875],\n",
+       "       [ 26.71875,  28.125  ],\n",
+       "...\n",
+       "       [331.875  , 333.28125],\n",
+       "       [333.28125, 334.6875 ],\n",
+       "       [334.6875 , 336.09375],\n",
+       "       [336.09375, 337.5    ],\n",
+       "       [337.5    , 338.90625],\n",
+       "       [338.90625, 340.3125 ],\n",
+       "       [340.3125 , 341.71875],\n",
+       "       [341.71875, 343.125  ],\n",
+       "       [343.125  , 344.53125],\n",
+       "       [344.53125, 345.9375 ],\n",
+       "       [345.9375 , 347.34375],\n",
+       "       [347.34375, 348.75   ],\n",
+       "       [348.75   , 350.15625],\n",
+       "       [350.15625, 351.5625 ],\n",
+       "       [351.5625 , 352.96875],\n",
+       "       [352.96875, 354.375  ],\n",
+       "       [354.375  , 355.78125],\n",
+       "       [355.78125, 357.1875 ],\n",
+       "       [357.1875 , 358.59375],\n",
+       "       [358.59375, 360.     ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 271.2 271.2 271.2</div><input id='attrs-d0276628-86a3-4afa-a77d-237867cc45c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0276628-86a3-4afa-a77d-237867cc45c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7b5de15-7f3f-4aa8-8d32-d303afae79cf' class='xr-var-data-in' type='checkbox'><label for='data-d7b5de15-7f3f-4aa8-8d32-d303afae79cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;this may differ from &quot;&quot;surface temperature&quot;&quot; in regions of sea ice.&quot;</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>SST</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 20 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd><dt><span>history :</span></dt><dd>2011-07-13T02:25:29Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_ocean_fx_CanCM4_decadal1982_r0i0p0.nc areacello: areacello_fx_CanCM4_decadal1982_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[[      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "               nan],\n",
+       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "               nan],\n",
+       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "               nan],\n",
+       "        ...,\n",
+       "        [271.21222, 271.21143, 271.2109 , ..., 271.21558, 271.21442,\n",
+       "         271.21326],\n",
+       "        [271.2112 , 271.21014, 271.20923, ..., 271.21497, 271.21368,\n",
+       "         271.2124 ],\n",
+       "        [271.20383, 271.20383, 271.20383, ..., 271.20383, 271.20383,\n",
+       "         271.20383]],\n",
+       "\n",
+       "       [[      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "               nan],\n",
+       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "               nan],\n",
+       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "               nan],\n",
+       "...\n",
+       "        [271.20197, 271.20206, 271.20227, ..., 271.20255, 271.2022 ,\n",
+       "         271.202  ],\n",
+       "        [271.2042 , 271.2042 , 271.20416, ..., 271.20383, 271.204  ,\n",
+       "         271.20413],\n",
+       "        [271.1999 , 271.1999 , 271.1999 , ..., 271.1999 , 271.1999 ,\n",
+       "         271.1999 ]],\n",
+       "\n",
+       "       [[      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "               nan],\n",
+       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "               nan],\n",
+       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "               nan],\n",
+       "        ...,\n",
+       "        [271.20337, 271.20377, 271.20435, ..., 271.20395, 271.2034 ,\n",
+       "         271.20322],\n",
+       "        [271.20563, 271.20618, 271.2068 , ..., 271.2043 , 271.20468,\n",
+       "         271.2051 ],\n",
+       "        [271.1999 , 271.1999 , 271.1999 , ..., 271.1999 , 271.1999 ,\n",
+       "         271.1999 ]]], shape=(10, 192, 256), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-49bc1d3b-485b-4815-a9b6-0d0438b11649' class='xr-section-summary-in' type='checkbox' checked /><label for='section-49bc1d3b-485b-4815-a9b6-0d0438b11649' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(31)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CCCma (Canadian Centre for Climate Modelling and Analysis, Victoria, BC, Canada)</dd><dt><span>institute_id :</span></dt><dd>CCCma</dd><dt><span>experiment_id :</span></dt><dd>decadal1982</dd><dt><span>source :</span></dt><dd>CanCM4 2010 atmosphere: CanAM4 (AGCM15i, T63L35) ocean: CanOM4 (OGCM4.0, 256x192L40) sea ice: CanSIM1 (Cavitating Fluid, T63 Gaussian Grid) land: CLASS2.7</dd><dt><span>model_id :</span></dt><dd>CanCM4</dd><dt><span>forcing :</span></dt><dd>GHG,Oz,SA,BC,OC,LU,Sl,Vl (GHG includes CO2,CH4,N2O,CFC11,effective CFC12)</dd><dt><span>parent_experiment_id :</span></dt><dd>N/A</dd><dt><span>parent_experiment_rip :</span></dt><dd>N/A</dd><dt><span>branch_time :</span></dt><dd>0.0</dd><dt><span>contact :</span></dt><dd>cccma_info@ec.gc.ca</dd><dt><span>references :</span></dt><dd>http://www.cccma.ec.gc.ca/models</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>5152f593-3451-453f-9c5f-b45e46a2efc0</dd><dt><span>branch_time_YMDH :</span></dt><dd>1983:01:01:00</dd><dt><span>CCCma_runid :</span></dt><dd>DHFP1B_E005_I1983_M01</dd><dt><span>CCCma_parent_runid :</span></dt><dd>DHFP1_E005</dd><dt><span>CCCma_data_licence :</span></dt><dd>1) GRANT OF LICENCE - The Government of Canada (Environment Canada) is the \n",
+       "owner of all intellectual property rights (including copyright) that may exist in this Data \n",
+       "product. You (as &quot;The Licensee&quot;) are hereby granted a non-exclusive, non-assignable, \n",
+       "non-transferable unrestricted licence to use this data product for any purpose including \n",
+       "the right to share these data with others and to make value-added and derivative \n",
+       "products from it. This licence is not a sale of any or all of the owner&#x27;s rights.\n",
+       "2) NO WARRANTY - This Data product is provided &quot;as-is&quot;; it has not been designed or \n",
+       "prepared to meet the Licensee&#x27;s particular requirements. Environment Canada makes no \n",
+       "warranty, either express or implied, including but not limited to, warranties of \n",
+       "merchantability and fitness for a particular purpose. In no event will Environment Canada \n",
+       "be liable for any indirect, special, consequential or other damages attributed to the \n",
+       "Licensee&#x27;s use of the Data product.</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>10- or 30-year run initialized in year 1982</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2011-07-13T02:25:29Z</dd><dt><span>history :</span></dt><dd>2011-07-13T02:25:29Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Omon (28 March 2011) d71862c6fdafa47720d8a402f39c8864</dd><dt><span>title :</span></dt><dd>CanCM4 model output prepared for CMIP5 10- or 30-year run initialized in year 1982</dd><dt><span>parent_experiment :</span></dt><dd>N/A</dd><dt><span>modeling_realm :</span></dt><dd>ocean</dd><dt><span>realization :</span></dt><dd>5</dd><dt><span>cmor_version :</span></dt><dd>2.5.4</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 2MB\n",
+       "Dimensions:    (time: 10, bnds: 2, lat: 192, lon: 256)\n",
+       "Coordinates:\n",
+       "  * time       (time) float64 80B 4.856e+04 4.859e+04 ... 4.88e+04 4.883e+04\n",
+       "  * lat        (lat) float64 2kB -89.43 -88.29 -87.15 ... 87.15 88.29 89.43\n",
+       "  * lon        (lon) float64 2kB 0.7031 2.109 3.516 4.922 ... 356.5 357.9 359.3\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) float64 160B 4.854e+04 4.858e+04 ... 4.885e+04\n",
+       "    lat_bnds   (lat, bnds) float64 3kB -90.0 -88.86 -88.86 ... 88.86 88.86 90.0\n",
+       "    lon_bnds   (lon, bnds) float64 4kB 0.0 1.406 1.406 ... 358.6 358.6 360.0\n",
+       "    tos        (time, lat, lon) float32 2MB nan nan nan ... 271.2 271.2 271.2\n",
+       "Attributes:\n",
+       "    institution:            CCCma (Canadian Centre for Climate Modelling and ...\n",
+       "    institute_id:           CCCma\n",
+       "    experiment_id:          decadal1982\n",
+       "    source:                 CanCM4 2010 atmosphere: CanAM4 (AGCM15i, T63L35) ...\n",
+       "    model_id:               CanCM4\n",
+       "    forcing:                GHG,Oz,SA,BC,OC,LU,Sl,Vl (GHG includes CO2,CH4,N2...\n",
+       "    parent_experiment_id:   N/A\n",
+       "    parent_experiment_rip:  N/A\n",
+       "    branch_time:            0.0\n",
+       "    contact:                cccma_info@ec.gc.ca\n",
+       "    references:             http://www.cccma.ec.gc.ca/models\n",
+       "    initialization_method:  1\n",
+       "    physics_version:        1\n",
+       "    tracking_id:            5152f593-3451-453f-9c5f-b45e46a2efc0\n",
+       "    branch_time_YMDH:       1983:01:01:00\n",
+       "    CCCma_runid:            DHFP1B_E005_I1983_M01\n",
+       "    CCCma_parent_runid:     DHFP1_E005\n",
+       "    CCCma_data_licence:     1) GRANT OF LICENCE - The Government of Canada (E...\n",
+       "    product:                output\n",
+       "    experiment:             10- or 30-year run initialized in year 1982\n",
+       "    frequency:              mon\n",
+       "    creation_date:          2011-07-13T02:25:29Z\n",
+       "    history:                2011-07-13T02:25:29Z CMOR rewrote data to comply ...\n",
+       "    Conventions:            CF-1.4\n",
+       "    project_id:             CMIP5\n",
+       "    table_id:               Table Omon (28 March 2011) d71862c6fdafa47720d8a4...\n",
+       "    title:                  CanCM4 model output prepared for CMIP5 10- or 30-...\n",
+       "    parent_experiment:      N/A\n",
+       "    modeling_realm:         ocean\n",
+       "    realization:            5\n",
+       "    cmor_version:           2.5.4"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "(3, 18, 36)\n"
+      "(10, 192, 256)\n"
      ]
     }
    ],
    "source": [
+    "with xr.open_dataset(DATA_PATH, decode_times=False) as opened:\n",
+    "    source = opened.load()\n",
+    "\n",
+    "with xr.set_options(\n",
+    "    display_style=\"html\",\n",
+    "    display_expand_attrs=True,\n",
+    "    display_expand_coords=True,\n",
+    "    display_expand_data_vars=True,\n",
+    "    display_max_rows=80,\n",
+    "):\n",
+    "    display(source)\n",
+    "\n",
     "run_dir = Path(\"output\") / \"01_basic_ocean_surface_temperature\"\n",
     "if run_dir.exists():\n",
     "    shutil.rmtree(run_dir)\n",
@@ -84,7 +912,7 @@
     "    \"_cmip7_option\": 1,\n",
     "    \"_controlled_vocabulary_file\": CV_PATH,\n",
     "    \"activity_id\": \"CMIP\",\n",
-    "    \"calendar\": \"360_day\",\n",
+    "    \"calendar\": source[\"time\"].attrs.get(\"calendar\", \"standard\"),\n",
     "    \"experiment_id\": \"amip\",\n",
     "    \"forcing_index\": \"f3\",\n",
     "    \"frequency\": \"mon\",\n",
@@ -103,18 +931,17 @@
     "input_json = run_dir / \"input.json\"\n",
     "input_json.write_text(json.dumps(DATASET_INFO, indent=2, sort_keys=True))\n",
     "\n",
-    "lat = np.arange(-85.0, 90.0, 10.0)\n",
-    "lat_bnds = np.arange(-90.0, 91.0, 10.0)\n",
-    "lon = np.arange(5.0, 360.0, 10.0)\n",
-    "lon_bnds = np.arange(0.0, 361.0, 10.0)\n",
-    "time = 15.0 + 30.0 * np.arange(3, dtype=\"f8\")\n",
-    "time_bnds = 30.0 * np.arange(4, dtype=\"f8\")\n",
-    "time_units = \"days since 2018-01-01\"\n",
+    "lat = source[\"lat\"].values.astype(\"f8\")\n",
+    "lat_bnds = source[\"lat_bnds\"].values.astype(\"f8\")\n",
+    "lon = source[\"lon\"].values.astype(\"f8\")\n",
+    "lon_bnds = source[\"lon_bnds\"].values.astype(\"f8\")\n",
+    "time = source[\"time\"].values.astype(\"f8\")\n",
+    "time_bnds = source[\"time_bnds\"].values.astype(\"f8\")\n",
+    "time_units = source[\"time\"].attrs[\"units\"]\n",
     "\n",
-    "seasonal_cycle = np.array([0.0, 0.8, -0.4], dtype=\"f4\")[:, None, None]\n",
-    "lat_term = np.sin(np.deg2rad(lat))[None, :, None] ** 2\n",
-    "lon_term = np.cos(np.deg2rad(lon))[None, None, :]\n",
-    "tos = (15.0 - 25.0 * lat_term + 1.5 * lon_term + seasonal_cycle).astype(\"f4\")\n",
+    "missing_value = np.float32(1.0e20)\n",
+    "tos_kelvin = source[\"tos\"].values.astype(\"f4\")\n",
+    "tos = np.where(np.isfinite(tos_kelvin), tos_kelvin - np.float32(273.15), missing_value).astype(\"f4\")\n",
     "\n",
     "print(tos.shape)\n"
    ]
@@ -124,10 +951,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T00:14:06.422500Z",
-     "iopub.status.busy": "2026-05-30T00:14:06.422423Z",
-     "iopub.status.idle": "2026-05-30T00:14:06.489085Z",
-     "shell.execute_reply": "2026-05-30T00:14:06.488638Z"
+     "iopub.execute_input": "2026-05-30T16:52:02.176617Z",
+     "iopub.status.busy": "2026-05-30T16:52:02.176484Z",
+     "iopub.status.idle": "2026-05-30T16:52:02.276357Z",
+     "shell.execute_reply": "2026-05-30T16:52:02.275776Z"
     }
    },
    "outputs": [
@@ -135,7 +962,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "output/01_basic_ocean_surface_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tos/tavg-u-hxy-sea/g999/v20260529/tos_tavg-u-hxy-sea_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201801-201803.nc\n"
+      "output/01_basic_ocean_surface_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tos/tavg-u-hxy-sea/g999/v20260530/tos_tavg-u-hxy-sea_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_198301-198310.nc\n"
      ]
     }
    ],
@@ -153,7 +980,7 @@
     "time_id = cmor.axis(\"time\", coord_vals=time, cell_bounds=time_bnds, units=time_units)\n",
     "\n",
     "variable_name = \"tos_tavg-u-hxy-sea\"\n",
-    "tos_id = cmor.variable(variable_name, \"degC\", [time_id, lat_id, lon_id])\n",
+    "tos_id = cmor.variable(variable_name, \"degC\", [time_id, lat_id, lon_id], missing_value=missing_value)\n",
     "compound_name = \".\".join([\"ocean\"] + variable_name.split(\"_\") + [\"mon\", \"glb\"])\n",
     "\n",
     "with open(Path(TABLES_DIR) / \"CMIP7_cell_measures.json\") as handle:\n",
@@ -178,10 +1005,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T00:14:06.490233Z",
-     "iopub.status.busy": "2026-05-30T00:14:06.490150Z",
-     "iopub.status.idle": "2026-05-30T00:14:06.607376Z",
-     "shell.execute_reply": "2026-05-30T00:14:06.606950Z"
+     "iopub.execute_input": "2026-05-30T16:52:02.277671Z",
+     "iopub.status.busy": "2026-05-30T16:52:02.277585Z",
+     "iopub.status.idle": "2026-05-30T16:52:02.299198Z",
+     "shell.execute_reply": "2026-05-30T16:52:02.298701Z"
     }
    },
    "outputs": [
@@ -730,25 +1557,25 @@
        "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
        "  stroke-width: 0.8px;\n",
        "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 9kB\n",
-       "Dimensions:    (time: 3, bnds: 2, lat: 18, lon: 36)\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 2MB\n",
+       "Dimensions:    (time: 10, bnds: 2, lat: 192, lon: 256)\n",
        "Coordinates:\n",
-       "  * time       (time) float64 24B 15.0 45.0 75.0\n",
-       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
-       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
+       "  * time       (time) float64 80B 4.856e+04 4.859e+04 ... 4.88e+04 4.883e+04\n",
+       "  * lat        (lat) float64 2kB -89.43 -88.29 -87.15 ... 87.15 88.29 89.43\n",
+       "  * lon        (lon) float64 2kB 0.7031 2.109 3.516 4.922 ... 356.5 357.9 359.3\n",
        "Dimensions without coordinates: bnds\n",
        "Data variables:\n",
-       "    time_bnds  (time, bnds) float64 48B 0.0 30.0 30.0 60.0 60.0 90.0\n",
-       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
-       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
-       "    tos        (time, lat, lon) float32 8kB -8.316 -8.361 ... -8.761 -8.716\n",
+       "    time_bnds  (time, bnds) float64 160B 4.854e+04 4.858e+04 ... 4.885e+04\n",
+       "    lat_bnds   (lat, bnds) float64 3kB -90.0 -88.86 -88.86 ... 88.86 88.86 90.0\n",
+       "    lon_bnds   (lon, bnds) float64 4kB 0.0 1.406 1.406 ... 358.6 358.6 360.0\n",
+       "    tos        (time, lat, lon) float32 2MB nan nan nan ... -1.95 -1.95 -1.95\n",
        "Attributes:\n",
        "    Conventions:           CF-1.12\n",
        "    activity_id:           CMIP\n",
        "    area_label:            sea\n",
        "    branded_variable:      tos_tavg-u-hxy-sea\n",
        "    branding_suffix:       tavg-u-hxy-sea\n",
-       "    creation_date:         2026-05-30T00:14:06Z\n",
+       "    creation_date:         2026-05-30T16:52:02Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -758,7 +1585,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-30T00:14:06Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-05-30T16:52:02Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -777,130 +1604,195 @@
        "    table_info:            Name: CMIP7_ocean.json; Creation Date:(2026-04-21 ...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/8d75b4c6-17c8-4cc2-b1d3-7b62ab3ef63e\n",
+       "    tracking_id:           hdl:21.14107/fd561794-c0b5-4b13-90b0-c6ec5894e16d\n",
        "    variable_id:           tos\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8e6bc231-7253-4a9d-b67e-0c15f9fb661e' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-8e6bc231-7253-4a9d-b67e-0c15f9fb661e' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 3</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div></li><li class='xr-section-item'><input id='section-57fd0fb4-800e-445a-9a0a-aa5f1cf8757e' class='xr-section-summary-in' type='checkbox' checked /><label for='section-57fd0fb4-800e-445a-9a0a-aa5f1cf8757e' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0 75.0</div><input id='attrs-75b248e2-5f96-41ac-bae7-ec1b54506bb8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-75b248e2-5f96-41ac-bae7-ec1b54506bb8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a712188-5cdb-4180-a04a-a0643dc33cf9' class='xr-var-data-in' type='checkbox'><label for='data-7a712188-5cdb-4180-a04a-a0643dc33cf9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45., 75.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-357570cd-9010-4fbc-aaea-26533bd0348c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-357570cd-9010-4fbc-aaea-26533bd0348c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4fe8e7a6-55d3-47f4-9c7a-e522af941b8d' class='xr-var-data-in' type='checkbox'><label for='data-4fe8e7a6-55d3-47f4-9c7a-e522af941b8d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
-       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-3fefcd3b-9c98-4ff8-b81b-7cfa7624b31d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fefcd3b-9c98-4ff8-b81b-7cfa7624b31d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-910b8651-7bd4-449a-89bb-38ff122766a4' class='xr-var-data-in' type='checkbox'><label for='data-910b8651-7bd4-449a-89bb-38ff122766a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
-       "       125., 135., 145., 155., 165., 175., 185., 195., 205., 215., 225., 235.,\n",
-       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a3b99e4f-7fce-42a3-afe9-34889f25c5b0' class='xr-section-summary-in' type='checkbox' checked /><label for='section-a3b99e4f-7fce-42a3-afe9-34889f25c5b0' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0 60.0 90.0</div><input id='attrs-9bd31ce0-dcb3-486e-9a9f-0eb10e517c55' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9bd31ce0-dcb3-486e-9a9f-0eb10e517c55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-652b64ff-263e-463f-9842-9f4925f3a074' class='xr-var-data-in' type='checkbox'><label for='data-652b64ff-263e-463f-9842-9f4925f3a074' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
-       "       [30., 60.],\n",
-       "       [60., 90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-a4fbbb37-d065-4147-85a5-0e9093647c12' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a4fbbb37-d065-4147-85a5-0e9093647c12' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86f1df0d-591d-4049-b978-1eec75cd382e' class='xr-var-data-in' type='checkbox'><label for='data-86f1df0d-591d-4049-b978-1eec75cd382e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
-       "       [-80., -70.],\n",
-       "       [-70., -60.],\n",
-       "       [-60., -50.],\n",
-       "       [-50., -40.],\n",
-       "       [-40., -30.],\n",
-       "       [-30., -20.],\n",
-       "       [-20., -10.],\n",
-       "       [-10.,   0.],\n",
-       "       [  0.,  10.],\n",
-       "       [ 10.,  20.],\n",
-       "       [ 20.,  30.],\n",
-       "       [ 30.,  40.],\n",
-       "       [ 40.,  50.],\n",
-       "       [ 50.,  60.],\n",
-       "       [ 60.,  70.],\n",
-       "       [ 70.,  80.],\n",
-       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-1af4a50c-84bc-46d3-a8f6-c6714b0e7780' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1af4a50c-84bc-46d3-a8f6-c6714b0e7780' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7dc886d4-4521-4ff4-9ab0-7be1b55103f9' class='xr-var-data-in' type='checkbox'><label for='data-7dc886d4-4521-4ff4-9ab0-7be1b55103f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
-       "       [ 10.,  20.],\n",
-       "       [ 20.,  30.],\n",
-       "       [ 30.,  40.],\n",
-       "       [ 40.,  50.],\n",
-       "       [ 50.,  60.],\n",
-       "       [ 60.,  70.],\n",
-       "       [ 70.,  80.],\n",
-       "       [ 80.,  90.],\n",
-       "       [ 90., 100.],\n",
-       "       [100., 110.],\n",
-       "       [110., 120.],\n",
-       "       [120., 130.],\n",
-       "       [130., 140.],\n",
-       "       [140., 150.],\n",
-       "       [150., 160.],\n",
-       "       [160., 170.],\n",
-       "       [170., 180.],\n",
-       "       [180., 190.],\n",
-       "       [190., 200.],\n",
-       "       [200., 210.],\n",
-       "       [210., 220.],\n",
-       "       [220., 230.],\n",
-       "       [230., 240.],\n",
-       "       [240., 250.],\n",
-       "       [250., 260.],\n",
-       "       [260., 270.],\n",
-       "       [270., 280.],\n",
-       "       [280., 290.],\n",
-       "       [290., 300.],\n",
-       "       [300., 310.],\n",
-       "       [310., 320.],\n",
-       "       [320., 330.],\n",
-       "       [330., 340.],\n",
-       "       [340., 350.],\n",
-       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-8.316 -8.361 ... -8.761 -8.716</div><input id='attrs-c705929b-c5ad-4ca7-a6a1-1c5042812869' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c705929b-c5ad-4ca7-a6a1-1c5042812869' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f68e55e7-81b5-46f2-ba4c-754f76f92a5a' class='xr-var-data-in' type='checkbox'><label for='data-f68e55e7-81b5-46f2-ba4c-754f76f92a5a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd></dl></div><div class='xr-var-data'><pre>array([[[-8.3158045, -8.361208 , -8.450635 , ..., -8.450635 ,\n",
-       "         -8.361208 , -8.3158045],\n",
-       "        [-6.8310256, -6.8764286, -6.965856 , ..., -6.965856 ,\n",
-       "         -6.8764286, -6.8310256],\n",
-       "        [-4.040553 , -4.0859566, -4.1753836, ..., -4.1753836,\n",
-       "         -4.0859566, -4.040553 ],\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1b91174f-7745-4928-bc5c-3360236f4470' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-1b91174f-7745-4928-bc5c-3360236f4470' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 192</li><li><span class='xr-has-index'>lon</span>: 256</li></ul></div></li><li class='xr-section-item'><input id='section-e10676ee-7f09-4ba0-aae2-6c97b89031c6' class='xr-section-summary-in' type='checkbox' checked /><label for='section-e10676ee-7f09-4ba0-aae2-6c97b89031c6' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.856e+04 4.859e+04 ... 4.883e+04</div><input id='attrs-d6d43307-8ee8-44fd-8adb-e26b15226056' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d6d43307-8ee8-44fd-8adb-e26b15226056' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2df9c250-4503-40fb-bfc3-a99fc92734fc' class='xr-var-data-in' type='checkbox'><label for='data-2df9c250-4503-40fb-bfc3-a99fc92734fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-1-1</dd><dt><span>calendar :</span></dt><dd>365_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([48560.5, 48590. , 48619.5, 48650. , 48680.5, 48711. , 48741.5, 48772.5,\n",
+       "       48803. , 48833.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.43 -88.29 ... 88.29 89.43</div><input id='attrs-8729ae4a-3fe6-4dbd-a527-3cc5e9effe8e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8729ae4a-3fe6-4dbd-a527-3cc5e9effe8e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1307e93c-5ac8-4c6f-8c15-61c91e322adc' class='xr-var-data-in' type='checkbox'><label for='data-1307e93c-5ac8-4c6f-8c15-61c91e322adc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.429619, -88.288872, -87.148125, -86.107635, -85.167389, -84.22715 ,\n",
+       "       -83.290031, -82.356026, -81.42202 , -80.488907, -79.556686, -78.624458,\n",
+       "       -77.692612, -76.761139, -75.829674, -74.898399, -73.967316, -73.03624 ,\n",
+       "       -72.10527 , -71.174423, -70.243568, -69.31279 , -68.382088, -67.451378,\n",
+       "       -66.520721, -65.590111, -64.6595  , -63.728931, -62.798389, -61.867851,\n",
+       "       -60.937336, -60.006847, -59.076359, -58.145885, -57.215435, -56.284985,\n",
+       "       -55.354546, -54.424126, -53.493702, -52.563293, -51.632893, -50.702496,\n",
+       "       -49.772106, -48.841724, -47.911343, -46.980972, -46.050606, -45.120239,\n",
+       "       -44.18988 , -43.259525, -42.329174, -41.398827, -40.468483, -39.538139,\n",
+       "       -38.6078  , -37.677464, -36.747131, -35.816799, -34.886471, -33.956142,\n",
+       "       -33.025818, -32.095497, -31.165176, -30.234856, -29.304539, -28.374222,\n",
+       "       -27.443909, -26.513596, -25.583282, -24.652971, -23.722664, -22.792355,\n",
+       "       -21.862047, -20.931742, -20.001434, -19.071131, -18.140827, -17.210524,\n",
+       "       -16.28022 , -15.34992 , -14.419619, -13.489318, -12.559018, -11.628718,\n",
+       "       -10.698419,  -9.768121,  -8.837822,  -7.907524,  -6.977227,  -6.046929,\n",
+       "        -5.116632,  -4.186335,  -3.256038,  -2.325742,  -1.395445,  -0.465148,\n",
+       "         0.465148,   1.395445,   2.325742,   3.256038,   4.186335,   5.116632,\n",
+       "         6.046929,   6.977227,   7.907525,   8.837822,   9.768121,  10.69842 ,\n",
+       "        11.628718,  12.559018,  13.489318,  14.419619,  15.34992 ,  16.28022 ,\n",
+       "        17.210524,  18.140827,  19.071131,  20.001434,  20.931742,  21.862047,\n",
+       "        22.792355,  23.722664,  24.652973,  25.583282,  26.513596,  27.443909,\n",
+       "        28.374224,  29.304539,  30.234856,  31.165176,  32.095497,  33.025818,\n",
+       "        33.956142,  34.886471,  35.816799,  36.747131,  37.677464,  38.6078  ,\n",
+       "        39.538139,  40.468483,  41.398827,  42.329174,  43.259525,  44.18988 ,\n",
+       "        45.120239,  46.050606,  46.980972,  47.911343,  48.841724,  49.772106,\n",
+       "        50.702496,  51.632893,  52.563293,  53.493702,  54.424126,  55.354546,\n",
+       "        56.284985,  57.215435,  58.145885,  59.076359,  60.006847,  60.937336,\n",
+       "        61.867851,  62.798389,  63.728931,  64.6595  ,  65.590111,  66.520721,\n",
+       "        67.451378,  68.382088,  69.31279 ,  70.243568,  71.174423,  72.10527 ,\n",
+       "        73.03624 ,  73.967316,  74.898399,  75.829674,  76.761139,  77.692612,\n",
+       "        78.624458,  79.556686,  80.488907,  81.42202 ,  82.356026,  83.290031,\n",
+       "        84.22715 ,  85.167389,  86.107635,  87.148125,  88.288872,  89.429619])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.7031 2.109 3.516 ... 357.9 359.3</div><input id='attrs-2575cbba-38bb-4c1f-ad7c-6c5e4572643b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2575cbba-38bb-4c1f-ad7c-6c5e4572643b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01e5d710-7c72-4107-a315-91becdbf7ce1' class='xr-var-data-in' type='checkbox'><label for='data-01e5d710-7c72-4107-a315-91becdbf7ce1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.703125,   2.109375,   3.515625, ..., 356.484375, 357.890625,\n",
+       "       359.296875], shape=(256,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1f53ba52-e169-4d97-bb5b-291b75a86e03' class='xr-section-summary-in' type='checkbox' checked /><label for='section-1f53ba52-e169-4d97-bb5b-291b75a86e03' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.854e+04 4.858e+04 ... 4.885e+04</div><input id='attrs-15811c4b-7719-408f-b2ed-963fbc5ad4ab' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-15811c4b-7719-408f-b2ed-963fbc5ad4ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2c5af9c-28c7-4193-a8f1-0c4c117b305b' class='xr-var-data-in' type='checkbox'><label for='data-f2c5af9c-28c7-4193-a8f1-0c4c117b305b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[48545., 48576.],\n",
+       "       [48576., 48604.],\n",
+       "       [48604., 48635.],\n",
+       "       [48635., 48665.],\n",
+       "       [48665., 48696.],\n",
+       "       [48696., 48726.],\n",
+       "       [48726., 48757.],\n",
+       "       [48757., 48788.],\n",
+       "       [48788., 48818.],\n",
+       "       [48818., 48849.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.86 -88.86 ... 88.86 90.0</div><input id='attrs-069e6c9e-609a-4225-bbec-e0a07bd55d82' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-069e6c9e-609a-4225-bbec-e0a07bd55d82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05e17bdf-7828-40c1-9ab8-60cca39d6ef5' class='xr-var-data-in' type='checkbox'><label for='data-05e17bdf-7828-40c1-9ab8-60cca39d6ef5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-9.00000000e+01, -8.88592453e+01],\n",
+       "       [-8.88592453e+01, -8.77184982e+01],\n",
+       "       [-8.77184982e+01, -8.65777512e+01],\n",
+       "       [-8.65777512e+01, -8.56375122e+01],\n",
+       "       [-8.56375122e+01, -8.46972733e+01],\n",
+       "       [-8.46972733e+01, -8.37570343e+01],\n",
+       "       [-8.37570343e+01, -8.28230286e+01],\n",
+       "       [-8.28230286e+01, -8.18890228e+01],\n",
+       "       [-8.18890228e+01, -8.09550171e+01],\n",
+       "       [-8.09550171e+01, -8.00227966e+01],\n",
+       "       [-8.00227966e+01, -7.90905685e+01],\n",
+       "       [-7.90905685e+01, -7.81583481e+01],\n",
+       "       [-7.81583481e+01, -7.72268753e+01],\n",
+       "       [-7.72268753e+01, -7.62954102e+01],\n",
+       "       [-7.62954102e+01, -7.53639374e+01],\n",
+       "       [-7.53639374e+01, -7.44328613e+01],\n",
+       "       [-7.44328613e+01, -7.35017776e+01],\n",
+       "       [-7.35017776e+01, -7.25707016e+01],\n",
+       "       [-7.25707016e+01, -7.16398468e+01],\n",
+       "       [-7.16398468e+01, -7.07089920e+01],\n",
+       "...\n",
+       "       [ 7.07089920e+01,  7.16398468e+01],\n",
+       "       [ 7.16398468e+01,  7.25707016e+01],\n",
+       "       [ 7.25707016e+01,  7.35017776e+01],\n",
+       "       [ 7.35017776e+01,  7.44328613e+01],\n",
+       "       [ 7.44328613e+01,  7.53639374e+01],\n",
+       "       [ 7.53639374e+01,  7.62954102e+01],\n",
+       "       [ 7.62954102e+01,  7.72268753e+01],\n",
+       "       [ 7.72268753e+01,  7.81583481e+01],\n",
+       "       [ 7.81583481e+01,  7.90905685e+01],\n",
+       "       [ 7.90905685e+01,  8.00227966e+01],\n",
+       "       [ 8.00227966e+01,  8.09550171e+01],\n",
+       "       [ 8.09550171e+01,  8.18890228e+01],\n",
+       "       [ 8.18890228e+01,  8.28230286e+01],\n",
+       "       [ 8.28230286e+01,  8.37570343e+01],\n",
+       "       [ 8.37570343e+01,  8.46972733e+01],\n",
+       "       [ 8.46972733e+01,  8.56375122e+01],\n",
+       "       [ 8.56375122e+01,  8.65777512e+01],\n",
+       "       [ 8.65777512e+01,  8.77184982e+01],\n",
+       "       [ 8.77184982e+01,  8.88592453e+01],\n",
+       "       [ 8.88592453e+01,  9.00000000e+01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.406 1.406 ... 358.6 360.0</div><input id='attrs-344b7580-f377-4e9a-aed9-43df7d0d5c1d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-344b7580-f377-4e9a-aed9-43df7d0d5c1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0726ea3f-4c33-4893-894f-2bcee26b1728' class='xr-var-data-in' type='checkbox'><label for='data-0726ea3f-4c33-4893-894f-2bcee26b1728' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.     ,   1.40625],\n",
+       "       [  1.40625,   2.8125 ],\n",
+       "       [  2.8125 ,   4.21875],\n",
+       "       [  4.21875,   5.625  ],\n",
+       "       [  5.625  ,   7.03125],\n",
+       "       [  7.03125,   8.4375 ],\n",
+       "       [  8.4375 ,   9.84375],\n",
+       "       [  9.84375,  11.25   ],\n",
+       "       [ 11.25   ,  12.65625],\n",
+       "       [ 12.65625,  14.0625 ],\n",
+       "       [ 14.0625 ,  15.46875],\n",
+       "       [ 15.46875,  16.875  ],\n",
+       "       [ 16.875  ,  18.28125],\n",
+       "       [ 18.28125,  19.6875 ],\n",
+       "       [ 19.6875 ,  21.09375],\n",
+       "       [ 21.09375,  22.5    ],\n",
+       "       [ 22.5    ,  23.90625],\n",
+       "       [ 23.90625,  25.3125 ],\n",
+       "       [ 25.3125 ,  26.71875],\n",
+       "       [ 26.71875,  28.125  ],\n",
+       "...\n",
+       "       [331.875  , 333.28125],\n",
+       "       [333.28125, 334.6875 ],\n",
+       "       [334.6875 , 336.09375],\n",
+       "       [336.09375, 337.5    ],\n",
+       "       [337.5    , 338.90625],\n",
+       "       [338.90625, 340.3125 ],\n",
+       "       [340.3125 , 341.71875],\n",
+       "       [341.71875, 343.125  ],\n",
+       "       [343.125  , 344.53125],\n",
+       "       [344.53125, 345.9375 ],\n",
+       "       [345.9375 , 347.34375],\n",
+       "       [347.34375, 348.75   ],\n",
+       "       [348.75   , 350.15625],\n",
+       "       [350.15625, 351.5625 ],\n",
+       "       [351.5625 , 352.96875],\n",
+       "       [352.96875, 354.375  ],\n",
+       "       [354.375  , 355.78125],\n",
+       "       [355.78125, 357.1875 ],\n",
+       "       [357.1875 , 358.59375],\n",
+       "       [358.59375, 360.     ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... -1.95 -1.95 -1.95</div><input id='attrs-e0ef2739-64e4-4b99-8243-8ac17c32ce4e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0ef2739-64e4-4b99-8243-8ac17c32ce4e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe23dbd1-d0a0-490e-96ac-9f45c5aaed8c' class='xr-var-data-in' type='checkbox'><label for='data-fe23dbd1-d0a0-490e-96ac-9f45c5aaed8c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd></dl></div><div class='xr-var-data'><pre>array([[[       nan,        nan,        nan, ...,        nan,\n",
+       "                nan,        nan],\n",
+       "        [       nan,        nan,        nan, ...,        nan,\n",
+       "                nan,        nan],\n",
+       "        [       nan,        nan,        nan, ...,        nan,\n",
+       "                nan,        nan],\n",
        "        ...,\n",
-       "        [-4.040553 , -4.0859566, -4.1753836, ..., -4.1753836,\n",
-       "         -4.0859566, -4.040553 ],\n",
-       "        [-6.8310256, -6.8764286, -6.965856 , ..., -6.965856 ,\n",
-       "         -6.8764286, -6.8310256],\n",
-       "        [-8.3158045, -8.361208 , -8.450635 , ..., -8.450635 ,\n",
-       "         -8.361208 , -8.3158045]],\n",
-       "\n",
-       "       [[-7.515805 , -7.5612082, -7.6506352, ..., -7.6506352,\n",
-       "         -7.5612082, -7.515805 ],\n",
-       "        [-6.0310254, -6.076429 , -6.165856 , ..., -6.165856 ,\n",
-       "         -6.076429 , -6.0310254],\n",
-       "        [-3.2405531, -3.2859564, -3.3753834, ..., -3.3753834,\n",
-       "         -3.2859564, -3.2405531],\n",
+       "        [-1.9377747, -1.9385681, -1.9390869, ..., -1.9344177,\n",
+       "         -1.9355774, -1.9367371],\n",
+       "        [-1.9387817, -1.9398499, -1.9407654, ..., -1.9350281,\n",
+       "         -1.9363098, -1.9375916],\n",
+       "        [-1.946167 , -1.946167 , -1.946167 , ..., -1.946167 ,\n",
+       "         -1.946167 , -1.946167 ]],\n",
+       "\n",
+       "       [[       nan,        nan,        nan, ...,        nan,\n",
+       "                nan,        nan],\n",
+       "        [       nan,        nan,        nan, ...,        nan,\n",
+       "                nan,        nan],\n",
+       "        [       nan,        nan,        nan, ...,        nan,\n",
+       "                nan,        nan],\n",
        "...\n",
-       "        [-3.2405531, -3.2859564, -3.3753834, ..., -3.3753834,\n",
-       "         -3.2859564, -3.2405531],\n",
-       "        [-6.0310254, -6.076429 , -6.165856 , ..., -6.165856 ,\n",
-       "         -6.076429 , -6.0310254],\n",
-       "        [-7.515805 , -7.5612082, -7.6506352, ..., -7.6506352,\n",
-       "         -7.5612082, -7.515805 ]],\n",
-       "\n",
-       "       [[-8.715805 , -8.761209 , -8.850636 , ..., -8.850636 ,\n",
-       "         -8.761209 , -8.715805 ],\n",
-       "        [-7.2310257, -7.2764287, -7.3658557, ..., -7.3658557,\n",
-       "         -7.2764287, -7.2310257],\n",
-       "        [-4.440553 , -4.485956 , -4.5753837, ..., -4.5753837,\n",
-       "         -4.485956 , -4.440553 ],\n",
+       "        [-1.9480286, -1.947937 , -1.9477234, ..., -1.9474487,\n",
+       "         -1.9477844, -1.947998 ],\n",
+       "        [-1.9458008, -1.9458008, -1.9458313, ..., -1.946167 ,\n",
+       "         -1.9459839, -1.9458618],\n",
+       "        [-1.9501038, -1.9501038, -1.9501038, ..., -1.9501038,\n",
+       "         -1.9501038, -1.9501038]],\n",
+       "\n",
+       "       [[       nan,        nan,        nan, ...,        nan,\n",
+       "                nan,        nan],\n",
+       "        [       nan,        nan,        nan, ...,        nan,\n",
+       "                nan,        nan],\n",
+       "        [       nan,        nan,        nan, ...,        nan,\n",
+       "                nan,        nan],\n",
        "        ...,\n",
-       "        [-4.440553 , -4.485956 , -4.5753837, ..., -4.5753837,\n",
-       "         -4.485956 , -4.440553 ],\n",
-       "        [-7.2310257, -7.2764287, -7.3658557, ..., -7.3658557,\n",
-       "         -7.2764287, -7.2310257],\n",
-       "        [-8.715805 , -8.761209 , -8.850636 , ..., -8.850636 ,\n",
-       "         -8.761209 , -8.715805 ]]], shape=(3, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7b05e00f-91cd-40c4-9df3-e3eed9910b56' class='xr-section-summary-in' type='checkbox' checked /><label for='section-7b05e00f-91cd-40c4-9df3-e3eed9910b56' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>tos_tavg-u-hxy-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-sea</dd><dt><span>creation_date :</span></dt><dd>2026-05-30T00:14:06Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacello</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-30T00:14:06Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/8d75b4c6-17c8-4cc2-b1d3-7b62ab3ef63e</dd><dt><span>variable_id :</span></dt><dd>tos</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+       "        [-1.9466248, -1.946228 , -1.9456482, ..., -1.9460449,\n",
+       "         -1.9465942, -1.9467773],\n",
+       "        [-1.9443665, -1.9438171, -1.9432068, ..., -1.9456787,\n",
+       "         -1.9453125, -1.9448853],\n",
+       "        [-1.9501038, -1.9501038, -1.9501038, ..., -1.9501038,\n",
+       "         -1.9501038, -1.9501038]]], shape=(10, 192, 256), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-00764aaa-0600-4277-928d-74d3e2fe71c7' class='xr-section-summary-in' type='checkbox' checked /><label for='section-00764aaa-0600-4277-928d-74d3e2fe71c7' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>tos_tavg-u-hxy-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-sea</dd><dt><span>creation_date :</span></dt><dd>2026-05-30T16:52:02Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacello</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-30T16:52:02Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/fd561794-c0b5-4b13-90b0-c6ec5894e16d</dd><dt><span>variable_id :</span></dt><dd>tos</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
-       "<xarray.Dataset> Size: 9kB\n",
-       "Dimensions:    (time: 3, bnds: 2, lat: 18, lon: 36)\n",
+       "<xarray.Dataset> Size: 2MB\n",
+       "Dimensions:    (time: 10, bnds: 2, lat: 192, lon: 256)\n",
        "Coordinates:\n",
-       "  * time       (time) float64 24B 15.0 45.0 75.0\n",
-       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
-       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
+       "  * time       (time) float64 80B 4.856e+04 4.859e+04 ... 4.88e+04 4.883e+04\n",
+       "  * lat        (lat) float64 2kB -89.43 -88.29 -87.15 ... 87.15 88.29 89.43\n",
+       "  * lon        (lon) float64 2kB 0.7031 2.109 3.516 4.922 ... 356.5 357.9 359.3\n",
        "Dimensions without coordinates: bnds\n",
        "Data variables:\n",
-       "    time_bnds  (time, bnds) float64 48B 0.0 30.0 30.0 60.0 60.0 90.0\n",
-       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
-       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
-       "    tos        (time, lat, lon) float32 8kB -8.316 -8.361 ... -8.761 -8.716\n",
+       "    time_bnds  (time, bnds) float64 160B 4.854e+04 4.858e+04 ... 4.885e+04\n",
+       "    lat_bnds   (lat, bnds) float64 3kB -90.0 -88.86 -88.86 ... 88.86 88.86 90.0\n",
+       "    lon_bnds   (lon, bnds) float64 4kB 0.0 1.406 1.406 ... 358.6 358.6 360.0\n",
+       "    tos        (time, lat, lon) float32 2MB nan nan nan ... -1.95 -1.95 -1.95\n",
        "Attributes:\n",
        "    Conventions:           CF-1.12\n",
        "    activity_id:           CMIP\n",
        "    area_label:            sea\n",
        "    branded_variable:      tos_tavg-u-hxy-sea\n",
        "    branding_suffix:       tavg-u-hxy-sea\n",
-       "    creation_date:         2026-05-30T00:14:06Z\n",
+       "    creation_date:         2026-05-30T16:52:02Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -910,7 +1802,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-30T00:14:06Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-05-30T16:52:02Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -929,7 +1821,7 @@
        "    table_info:            Name: CMIP7_ocean.json; Creation Date:(2026-04-21 ...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/8d75b4c6-17c8-4cc2-b1d3-7b62ab3ef63e\n",
+       "    tracking_id:           hdl:21.14107/fd561794-c0b5-4b13-90b0-c6ec5894e16d\n",
        "    variable_id:           tos\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
@@ -960,16 +1852,16 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T00:14:06.608632Z",
-     "iopub.status.busy": "2026-05-30T00:14:06.608545Z",
-     "iopub.status.idle": "2026-05-30T00:14:06.745604Z",
-     "shell.execute_reply": "2026-05-30T00:14:06.745200Z"
+     "iopub.execute_input": "2026-05-30T16:52:02.300737Z",
+     "iopub.status.busy": "2026-05-30T16:52:02.300633Z",
+     "iopub.status.idle": "2026-05-30T16:52:02.486040Z",
+     "shell.execute_reply": "2026-05-30T16:52:02.485553Z"
     }
    },
    "outputs": [
     {
      "data": {
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",
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       "text/plain": [
        "<Figure size 1100x540 with 2 Axes>"
       ]
diff --git a/notebooks/data/tos_Omon_CanCM4_decadal1982_r5i1p1_198301-198310.nc b/notebooks/data/tos_Omon_CanCM4_decadal1982_r5i1p1_198301-198310.nc
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HcmV?d00001


From 4b45184be666ebd2739d25595f935d9a3fd34245 Mon Sep 17 00:00:00 2001
From: Chris Mauzey <mauzey1@llnl.gov>
Date: Sat, 30 May 2026 10:22:25 -0700
Subject: [PATCH 19/25] Use real model data for example 2

---
 .../01_basic_ocean_surface_temperature.ipynb  |  123 +-
 .../02_atmos_surface_air_temperature.ipynb    | 1188 ++++++++++++++---
 ...SS-E2-H_historical_r1i1p2_195101-195110.nc |  Bin 0 -> 557807 bytes
 3 files changed, 1098 insertions(+), 213 deletions(-)
 create mode 100644 notebooks/data/tas_Amon_GISS-E2-H_historical_r1i1p2_195101-195110.nc

diff --git a/notebooks/01_basic_ocean_surface_temperature.ipynb b/notebooks/01_basic_ocean_surface_temperature.ipynb
index e27f0ca9..3e85ed91 100644
--- a/notebooks/01_basic_ocean_surface_temperature.ipynb
+++ b/notebooks/01_basic_ocean_surface_temperature.ipynb
@@ -14,10 +14,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T16:52:01.092716Z",
-     "iopub.status.busy": "2026-05-30T16:52:01.092609Z",
-     "iopub.status.idle": "2026-05-30T16:52:01.998204Z",
-     "shell.execute_reply": "2026-05-30T16:52:01.997758Z"
+     "iopub.execute_input": "2026-05-30T17:10:15.500783Z",
+     "iopub.status.busy": "2026-05-30T17:10:15.500698Z",
+     "iopub.status.idle": "2026-05-30T17:10:16.758430Z",
+     "shell.execute_reply": "2026-05-30T17:10:16.758052Z"
     }
    },
    "outputs": [
@@ -59,10 +59,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T16:52:02.014761Z",
-     "iopub.status.busy": "2026-05-30T16:52:02.014597Z",
-     "iopub.status.idle": "2026-05-30T16:52:02.175113Z",
-     "shell.execute_reply": "2026-05-30T16:52:02.174321Z"
+     "iopub.execute_input": "2026-05-30T17:10:16.775175Z",
+     "iopub.status.busy": "2026-05-30T17:10:16.774999Z",
+     "iopub.status.idle": "2026-05-30T17:10:17.107037Z",
+     "shell.execute_reply": "2026-05-30T17:10:17.106691Z"
     }
    },
    "outputs": [
@@ -654,8 +654,8 @@
        "    parent_experiment:      N/A\n",
        "    modeling_realm:         ocean\n",
        "    realization:            5\n",
-       "    cmor_version:           2.5.4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-31be5fe4-33bc-44c1-84c8-88fa80d1cd81' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-31be5fe4-33bc-44c1-84c8-88fa80d1cd81' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 192</li><li><span class='xr-has-index'>lon</span>: 256</li></ul></div></li><li class='xr-section-item'><input id='section-9321857a-6723-407e-8b75-fcdd66452736' class='xr-section-summary-in' type='checkbox' checked /><label for='section-9321857a-6723-407e-8b75-fcdd66452736' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.856e+04 4.859e+04 ... 4.883e+04</div><input id='attrs-e4c68c57-3f20-4006-9599-f35ca92ca903' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4c68c57-3f20-4006-9599-f35ca92ca903' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e9b51eb-50f4-4d2f-8027-6cf5547d1fe9' class='xr-var-data-in' type='checkbox'><label for='data-9e9b51eb-50f4-4d2f-8027-6cf5547d1fe9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-1-1</dd><dt><span>calendar :</span></dt><dd>365_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([48560.5, 48590. , 48619.5, 48650. , 48680.5, 48711. , 48741.5, 48772.5,\n",
-       "       48803. , 48833.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.43 -88.29 ... 88.29 89.43</div><input id='attrs-0f228f3f-c338-45c8-aa62-d48d2dc0a391' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f228f3f-c338-45c8-aa62-d48d2dc0a391' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3a237c0-9df7-456c-8898-26a6c946ccbd' class='xr-var-data-in' type='checkbox'><label for='data-b3a237c0-9df7-456c-8898-26a6c946ccbd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.429619, -88.288872, -87.148125, -86.107635, -85.167389, -84.22715 ,\n",
+       "    cmor_version:           2.5.4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-883229e0-238b-4237-95f8-e265fa94fd81' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-883229e0-238b-4237-95f8-e265fa94fd81' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 192</li><li><span class='xr-has-index'>lon</span>: 256</li></ul></div></li><li class='xr-section-item'><input id='section-61bb6139-279f-43d7-92a7-cab4ab660057' class='xr-section-summary-in' type='checkbox' checked /><label for='section-61bb6139-279f-43d7-92a7-cab4ab660057' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.856e+04 4.859e+04 ... 4.883e+04</div><input id='attrs-dd7e2c95-7ac0-4194-a96b-378f0727fa65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd7e2c95-7ac0-4194-a96b-378f0727fa65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39887b91-d9ae-471f-b586-0ca513deff94' class='xr-var-data-in' type='checkbox'><label for='data-39887b91-d9ae-471f-b586-0ca513deff94' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-1-1</dd><dt><span>calendar :</span></dt><dd>365_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([48560.5, 48590. , 48619.5, 48650. , 48680.5, 48711. , 48741.5, 48772.5,\n",
+       "       48803. , 48833.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.43 -88.29 ... 88.29 89.43</div><input id='attrs-52eff3d0-0dd4-4563-9875-141b15289980' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-52eff3d0-0dd4-4563-9875-141b15289980' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-beecece0-1883-4a2c-9b5e-77270b762bf1' class='xr-var-data-in' type='checkbox'><label for='data-beecece0-1883-4a2c-9b5e-77270b762bf1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.429619, -88.288872, -87.148125, -86.107635, -85.167389, -84.22715 ,\n",
        "       -83.290031, -82.356026, -81.42202 , -80.488907, -79.556686, -78.624458,\n",
        "       -77.692612, -76.761139, -75.829674, -74.898399, -73.967316, -73.03624 ,\n",
        "       -72.10527 , -71.174423, -70.243568, -69.31279 , -68.382088, -67.451378,\n",
@@ -686,8 +686,8 @@
        "        67.451378,  68.382088,  69.31279 ,  70.243568,  71.174423,  72.10527 ,\n",
        "        73.03624 ,  73.967316,  74.898399,  75.829674,  76.761139,  77.692612,\n",
        "        78.624458,  79.556686,  80.488907,  81.42202 ,  82.356026,  83.290031,\n",
-       "        84.22715 ,  85.167389,  86.107635,  87.148125,  88.288872,  89.429619])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.7031 2.109 3.516 ... 357.9 359.3</div><input id='attrs-f9e71f5c-dc73-4c41-b155-515764c3b96a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9e71f5c-dc73-4c41-b155-515764c3b96a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6fc3c42-2ef0-4789-8a55-3187341faca4' class='xr-var-data-in' type='checkbox'><label for='data-a6fc3c42-2ef0-4789-8a55-3187341faca4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.703125,   2.109375,   3.515625, ..., 356.484375, 357.890625,\n",
-       "       359.296875], shape=(256,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2f7f0f09-f927-4354-ad2e-289851931d48' class='xr-section-summary-in' type='checkbox' checked /><label for='section-2f7f0f09-f927-4354-ad2e-289851931d48' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.854e+04 4.858e+04 ... 4.885e+04</div><input id='attrs-bd50d194-7cde-4d11-810d-755b812d4774' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bd50d194-7cde-4d11-810d-755b812d4774' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b1329d9-d3d5-46c1-ad5f-6ad0ff8c3a84' class='xr-var-data-in' type='checkbox'><label for='data-9b1329d9-d3d5-46c1-ad5f-6ad0ff8c3a84' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[48545., 48576.],\n",
+       "        84.22715 ,  85.167389,  86.107635,  87.148125,  88.288872,  89.429619])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.7031 2.109 3.516 ... 357.9 359.3</div><input id='attrs-73587563-275b-4f9a-a017-f7fc808bef9a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73587563-275b-4f9a-a017-f7fc808bef9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01f4e568-a9c1-464c-ab2c-5c66541918dc' class='xr-var-data-in' type='checkbox'><label for='data-01f4e568-a9c1-464c-ab2c-5c66541918dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.703125,   2.109375,   3.515625, ..., 356.484375, 357.890625,\n",
+       "       359.296875], shape=(256,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4fa47b43-123e-4cb9-8312-59512bde18e4' class='xr-section-summary-in' type='checkbox' checked /><label for='section-4fa47b43-123e-4cb9-8312-59512bde18e4' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.854e+04 4.858e+04 ... 4.885e+04</div><input id='attrs-2c23055d-652c-40eb-a0be-c49ca328b7ed' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2c23055d-652c-40eb-a0be-c49ca328b7ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-928f38b3-56e1-40f5-b09e-39000ca50bf7' class='xr-var-data-in' type='checkbox'><label for='data-928f38b3-56e1-40f5-b09e-39000ca50bf7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[48545., 48576.],\n",
        "       [48576., 48604.],\n",
        "       [48604., 48635.],\n",
        "       [48635., 48665.],\n",
@@ -696,7 +696,7 @@
        "       [48726., 48757.],\n",
        "       [48757., 48788.],\n",
        "       [48788., 48818.],\n",
-       "       [48818., 48849.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.86 -88.86 ... 88.86 90.0</div><input id='attrs-2cb52ce5-9bcd-4106-88d9-0fa03c213bc4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2cb52ce5-9bcd-4106-88d9-0fa03c213bc4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a9b44df-ac2a-4b90-be8f-8af979a03fc1' class='xr-var-data-in' type='checkbox'><label for='data-7a9b44df-ac2a-4b90-be8f-8af979a03fc1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-9.00000000e+01, -8.88592453e+01],\n",
+       "       [48818., 48849.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.86 -88.86 ... 88.86 90.0</div><input id='attrs-da8b4a7d-3791-4d73-ad46-a5a3b4a52fe4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-da8b4a7d-3791-4d73-ad46-a5a3b4a52fe4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76099e94-3e5f-4649-a202-64fbcf7b2cea' class='xr-var-data-in' type='checkbox'><label for='data-76099e94-3e5f-4649-a202-64fbcf7b2cea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-9.00000000e+01, -8.88592453e+01],\n",
        "       [-8.88592453e+01, -8.77184982e+01],\n",
        "       [-8.77184982e+01, -8.65777512e+01],\n",
        "       [-8.65777512e+01, -8.56375122e+01],\n",
@@ -736,7 +736,7 @@
        "       [ 8.56375122e+01,  8.65777512e+01],\n",
        "       [ 8.65777512e+01,  8.77184982e+01],\n",
        "       [ 8.77184982e+01,  8.88592453e+01],\n",
-       "       [ 8.88592453e+01,  9.00000000e+01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.406 1.406 ... 358.6 360.0</div><input id='attrs-ac089902-c06b-451c-8203-708c2df431c1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ac089902-c06b-451c-8203-708c2df431c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-868db26f-a56f-4438-bdd2-4acce33aa33a' class='xr-var-data-in' type='checkbox'><label for='data-868db26f-a56f-4438-bdd2-4acce33aa33a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.     ,   1.40625],\n",
+       "       [ 8.88592453e+01,  9.00000000e+01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.406 1.406 ... 358.6 360.0</div><input id='attrs-d6b46120-830d-48c3-8d4e-b83cbaf2233f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d6b46120-830d-48c3-8d4e-b83cbaf2233f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e369d73-4936-418b-9829-20f7f9853a17' class='xr-var-data-in' type='checkbox'><label for='data-2e369d73-4936-418b-9829-20f7f9853a17' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.     ,   1.40625],\n",
        "       [  1.40625,   2.8125 ],\n",
        "       [  2.8125 ,   4.21875],\n",
        "       [  4.21875,   5.625  ],\n",
@@ -776,7 +776,7 @@
        "       [354.375  , 355.78125],\n",
        "       [355.78125, 357.1875 ],\n",
        "       [357.1875 , 358.59375],\n",
-       "       [358.59375, 360.     ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 271.2 271.2 271.2</div><input id='attrs-d0276628-86a3-4afa-a77d-237867cc45c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0276628-86a3-4afa-a77d-237867cc45c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7b5de15-7f3f-4aa8-8d32-d303afae79cf' class='xr-var-data-in' type='checkbox'><label for='data-d7b5de15-7f3f-4aa8-8d32-d303afae79cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;this may differ from &quot;&quot;surface temperature&quot;&quot; in regions of sea ice.&quot;</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>SST</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 20 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd><dt><span>history :</span></dt><dd>2011-07-13T02:25:29Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_ocean_fx_CanCM4_decadal1982_r0i0p0.nc areacello: areacello_fx_CanCM4_decadal1982_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[[      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "       [358.59375, 360.     ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 271.2 271.2 271.2</div><input id='attrs-ea72a49b-f86e-4c8b-b325-0d66a11f3eb4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea72a49b-f86e-4c8b-b325-0d66a11f3eb4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-012758cf-6f24-4106-8872-9e4ba092aa8e' class='xr-var-data-in' type='checkbox'><label for='data-012758cf-6f24-4106-8872-9e4ba092aa8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;this may differ from &quot;&quot;surface temperature&quot;&quot; in regions of sea ice.&quot;</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>SST</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 20 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd><dt><span>history :</span></dt><dd>2011-07-13T02:25:29Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_ocean_fx_CanCM4_decadal1982_r0i0p0.nc areacello: areacello_fx_CanCM4_decadal1982_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[[      nan,       nan,       nan, ...,       nan,       nan,\n",
        "               nan],\n",
        "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
        "               nan],\n",
@@ -816,7 +816,7 @@
        "        [271.20563, 271.20618, 271.2068 , ..., 271.2043 , 271.20468,\n",
        "         271.2051 ],\n",
        "        [271.1999 , 271.1999 , 271.1999 , ..., 271.1999 , 271.1999 ,\n",
-       "         271.1999 ]]], shape=(10, 192, 256), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-49bc1d3b-485b-4815-a9b6-0d0438b11649' class='xr-section-summary-in' type='checkbox' checked /><label for='section-49bc1d3b-485b-4815-a9b6-0d0438b11649' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(31)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CCCma (Canadian Centre for Climate Modelling and Analysis, Victoria, BC, Canada)</dd><dt><span>institute_id :</span></dt><dd>CCCma</dd><dt><span>experiment_id :</span></dt><dd>decadal1982</dd><dt><span>source :</span></dt><dd>CanCM4 2010 atmosphere: CanAM4 (AGCM15i, T63L35) ocean: CanOM4 (OGCM4.0, 256x192L40) sea ice: CanSIM1 (Cavitating Fluid, T63 Gaussian Grid) land: CLASS2.7</dd><dt><span>model_id :</span></dt><dd>CanCM4</dd><dt><span>forcing :</span></dt><dd>GHG,Oz,SA,BC,OC,LU,Sl,Vl (GHG includes CO2,CH4,N2O,CFC11,effective CFC12)</dd><dt><span>parent_experiment_id :</span></dt><dd>N/A</dd><dt><span>parent_experiment_rip :</span></dt><dd>N/A</dd><dt><span>branch_time :</span></dt><dd>0.0</dd><dt><span>contact :</span></dt><dd>cccma_info@ec.gc.ca</dd><dt><span>references :</span></dt><dd>http://www.cccma.ec.gc.ca/models</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>5152f593-3451-453f-9c5f-b45e46a2efc0</dd><dt><span>branch_time_YMDH :</span></dt><dd>1983:01:01:00</dd><dt><span>CCCma_runid :</span></dt><dd>DHFP1B_E005_I1983_M01</dd><dt><span>CCCma_parent_runid :</span></dt><dd>DHFP1_E005</dd><dt><span>CCCma_data_licence :</span></dt><dd>1) GRANT OF LICENCE - The Government of Canada (Environment Canada) is the \n",
+       "         271.1999 ]]], shape=(10, 192, 256), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9819304c-5f9a-44e1-97b2-7a44f777b9a9' class='xr-section-summary-in' type='checkbox' checked /><label for='section-9819304c-5f9a-44e1-97b2-7a44f777b9a9' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(31)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CCCma (Canadian Centre for Climate Modelling and Analysis, Victoria, BC, Canada)</dd><dt><span>institute_id :</span></dt><dd>CCCma</dd><dt><span>experiment_id :</span></dt><dd>decadal1982</dd><dt><span>source :</span></dt><dd>CanCM4 2010 atmosphere: CanAM4 (AGCM15i, T63L35) ocean: CanOM4 (OGCM4.0, 256x192L40) sea ice: CanSIM1 (Cavitating Fluid, T63 Gaussian Grid) land: CLASS2.7</dd><dt><span>model_id :</span></dt><dd>CanCM4</dd><dt><span>forcing :</span></dt><dd>GHG,Oz,SA,BC,OC,LU,Sl,Vl (GHG includes CO2,CH4,N2O,CFC11,effective CFC12)</dd><dt><span>parent_experiment_id :</span></dt><dd>N/A</dd><dt><span>parent_experiment_rip :</span></dt><dd>N/A</dd><dt><span>branch_time :</span></dt><dd>0.0</dd><dt><span>contact :</span></dt><dd>cccma_info@ec.gc.ca</dd><dt><span>references :</span></dt><dd>http://www.cccma.ec.gc.ca/models</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>5152f593-3451-453f-9c5f-b45e46a2efc0</dd><dt><span>branch_time_YMDH :</span></dt><dd>1983:01:01:00</dd><dt><span>CCCma_runid :</span></dt><dd>DHFP1B_E005_I1983_M01</dd><dt><span>CCCma_parent_runid :</span></dt><dd>DHFP1_E005</dd><dt><span>CCCma_data_licence :</span></dt><dd>1) GRANT OF LICENCE - The Government of Canada (Environment Canada) is the \n",
        "owner of all intellectual property rights (including copyright) that may exist in this Data \n",
        "product. You (as &quot;The Licensee&quot;) are hereby granted a non-exclusive, non-assignable, \n",
        "non-transferable unrestricted licence to use this data product for any purpose including \n",
@@ -878,13 +878,6 @@
      },
      "metadata": {},
      "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(10, 192, 256)\n"
-     ]
     }
    ],
    "source": [
@@ -898,8 +891,30 @@
     "    display_expand_data_vars=True,\n",
     "    display_max_rows=80,\n",
     "):\n",
-    "    display(source)\n",
-    "\n",
+    "    display(source)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-30T17:10:17.108459Z",
+     "iopub.status.busy": "2026-05-30T17:10:17.108373Z",
+     "iopub.status.idle": "2026-05-30T17:10:17.115745Z",
+     "shell.execute_reply": "2026-05-30T17:10:17.115298Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(10, 192, 256)\n"
+     ]
+    }
+   ],
+   "source": [
     "run_dir = Path(\"output\") / \"01_basic_ocean_surface_temperature\"\n",
     "if run_dir.exists():\n",
     "    shutil.rmtree(run_dir)\n",
@@ -948,13 +963,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T16:52:02.176617Z",
-     "iopub.status.busy": "2026-05-30T16:52:02.176484Z",
-     "iopub.status.idle": "2026-05-30T16:52:02.276357Z",
-     "shell.execute_reply": "2026-05-30T16:52:02.275776Z"
+     "iopub.execute_input": "2026-05-30T17:10:17.116984Z",
+     "iopub.status.busy": "2026-05-30T17:10:17.116919Z",
+     "iopub.status.idle": "2026-05-30T17:10:17.220424Z",
+     "shell.execute_reply": "2026-05-30T17:10:17.220077Z"
     }
    },
    "outputs": [
@@ -1002,13 +1017,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T16:52:02.277671Z",
-     "iopub.status.busy": "2026-05-30T16:52:02.277585Z",
-     "iopub.status.idle": "2026-05-30T16:52:02.299198Z",
-     "shell.execute_reply": "2026-05-30T16:52:02.298701Z"
+     "iopub.execute_input": "2026-05-30T17:10:17.221712Z",
+     "iopub.status.busy": "2026-05-30T17:10:17.221628Z",
+     "iopub.status.idle": "2026-05-30T17:10:17.242501Z",
+     "shell.execute_reply": "2026-05-30T17:10:17.242010Z"
     }
    },
    "outputs": [
@@ -1575,7 +1590,7 @@
        "    area_label:            sea\n",
        "    branded_variable:      tos_tavg-u-hxy-sea\n",
        "    branding_suffix:       tavg-u-hxy-sea\n",
-       "    creation_date:         2026-05-30T16:52:02Z\n",
+       "    creation_date:         2026-05-30T17:10:17Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -1585,7 +1600,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-30T16:52:02Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-05-30T17:10:17Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1604,13 +1619,13 @@
        "    table_info:            Name: CMIP7_ocean.json; Creation Date:(2026-04-21 ...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/fd561794-c0b5-4b13-90b0-c6ec5894e16d\n",
+       "    tracking_id:           hdl:21.14107/b23c7bdd-5939-4a99-9bab-4e92493b1123\n",
        "    variable_id:           tos\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1b91174f-7745-4928-bc5c-3360236f4470' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-1b91174f-7745-4928-bc5c-3360236f4470' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 192</li><li><span class='xr-has-index'>lon</span>: 256</li></ul></div></li><li class='xr-section-item'><input id='section-e10676ee-7f09-4ba0-aae2-6c97b89031c6' class='xr-section-summary-in' type='checkbox' checked /><label for='section-e10676ee-7f09-4ba0-aae2-6c97b89031c6' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.856e+04 4.859e+04 ... 4.883e+04</div><input id='attrs-d6d43307-8ee8-44fd-8adb-e26b15226056' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d6d43307-8ee8-44fd-8adb-e26b15226056' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2df9c250-4503-40fb-bfc3-a99fc92734fc' class='xr-var-data-in' type='checkbox'><label for='data-2df9c250-4503-40fb-bfc3-a99fc92734fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-1-1</dd><dt><span>calendar :</span></dt><dd>365_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([48560.5, 48590. , 48619.5, 48650. , 48680.5, 48711. , 48741.5, 48772.5,\n",
-       "       48803. , 48833.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.43 -88.29 ... 88.29 89.43</div><input id='attrs-8729ae4a-3fe6-4dbd-a527-3cc5e9effe8e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8729ae4a-3fe6-4dbd-a527-3cc5e9effe8e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1307e93c-5ac8-4c6f-8c15-61c91e322adc' class='xr-var-data-in' type='checkbox'><label for='data-1307e93c-5ac8-4c6f-8c15-61c91e322adc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.429619, -88.288872, -87.148125, -86.107635, -85.167389, -84.22715 ,\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-97df02f8-0b10-4272-8176-974695461e78' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-97df02f8-0b10-4272-8176-974695461e78' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 192</li><li><span class='xr-has-index'>lon</span>: 256</li></ul></div></li><li class='xr-section-item'><input id='section-04a3954d-9321-4b64-a036-e00060f664f3' class='xr-section-summary-in' type='checkbox' checked /><label for='section-04a3954d-9321-4b64-a036-e00060f664f3' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.856e+04 4.859e+04 ... 4.883e+04</div><input id='attrs-112f04c1-82f6-42e9-9cdd-83b0971f2178' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-112f04c1-82f6-42e9-9cdd-83b0971f2178' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a2f75e1-4f99-4484-a072-db8b4cafbc59' class='xr-var-data-in' type='checkbox'><label for='data-9a2f75e1-4f99-4484-a072-db8b4cafbc59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-1-1</dd><dt><span>calendar :</span></dt><dd>365_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([48560.5, 48590. , 48619.5, 48650. , 48680.5, 48711. , 48741.5, 48772.5,\n",
+       "       48803. , 48833.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.43 -88.29 ... 88.29 89.43</div><input id='attrs-1da811ae-6c3e-442e-bb1b-5db0e9d22d27' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1da811ae-6c3e-442e-bb1b-5db0e9d22d27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc0ea0f0-ed88-4eb6-b021-b86aced9beab' class='xr-var-data-in' type='checkbox'><label for='data-bc0ea0f0-ed88-4eb6-b021-b86aced9beab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.429619, -88.288872, -87.148125, -86.107635, -85.167389, -84.22715 ,\n",
        "       -83.290031, -82.356026, -81.42202 , -80.488907, -79.556686, -78.624458,\n",
        "       -77.692612, -76.761139, -75.829674, -74.898399, -73.967316, -73.03624 ,\n",
        "       -72.10527 , -71.174423, -70.243568, -69.31279 , -68.382088, -67.451378,\n",
@@ -1641,8 +1656,8 @@
        "        67.451378,  68.382088,  69.31279 ,  70.243568,  71.174423,  72.10527 ,\n",
        "        73.03624 ,  73.967316,  74.898399,  75.829674,  76.761139,  77.692612,\n",
        "        78.624458,  79.556686,  80.488907,  81.42202 ,  82.356026,  83.290031,\n",
-       "        84.22715 ,  85.167389,  86.107635,  87.148125,  88.288872,  89.429619])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.7031 2.109 3.516 ... 357.9 359.3</div><input id='attrs-2575cbba-38bb-4c1f-ad7c-6c5e4572643b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2575cbba-38bb-4c1f-ad7c-6c5e4572643b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01e5d710-7c72-4107-a315-91becdbf7ce1' class='xr-var-data-in' type='checkbox'><label for='data-01e5d710-7c72-4107-a315-91becdbf7ce1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.703125,   2.109375,   3.515625, ..., 356.484375, 357.890625,\n",
-       "       359.296875], shape=(256,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1f53ba52-e169-4d97-bb5b-291b75a86e03' class='xr-section-summary-in' type='checkbox' checked /><label for='section-1f53ba52-e169-4d97-bb5b-291b75a86e03' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.854e+04 4.858e+04 ... 4.885e+04</div><input id='attrs-15811c4b-7719-408f-b2ed-963fbc5ad4ab' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-15811c4b-7719-408f-b2ed-963fbc5ad4ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2c5af9c-28c7-4193-a8f1-0c4c117b305b' class='xr-var-data-in' type='checkbox'><label for='data-f2c5af9c-28c7-4193-a8f1-0c4c117b305b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[48545., 48576.],\n",
+       "        84.22715 ,  85.167389,  86.107635,  87.148125,  88.288872,  89.429619])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.7031 2.109 3.516 ... 357.9 359.3</div><input id='attrs-0a82fd06-d9b2-474c-a486-dff364faf961' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a82fd06-d9b2-474c-a486-dff364faf961' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f78509d-f0de-4c3a-9276-5639e85b5873' class='xr-var-data-in' type='checkbox'><label for='data-0f78509d-f0de-4c3a-9276-5639e85b5873' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.703125,   2.109375,   3.515625, ..., 356.484375, 357.890625,\n",
+       "       359.296875], shape=(256,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f3d1f73d-4707-4325-b223-2a530992e696' class='xr-section-summary-in' type='checkbox' checked /><label for='section-f3d1f73d-4707-4325-b223-2a530992e696' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.854e+04 4.858e+04 ... 4.885e+04</div><input id='attrs-fc68c477-a87a-4aef-8f96-a300a426c172' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fc68c477-a87a-4aef-8f96-a300a426c172' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90da4d5a-f4e2-47c3-af36-5c29a813679a' class='xr-var-data-in' type='checkbox'><label for='data-90da4d5a-f4e2-47c3-af36-5c29a813679a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[48545., 48576.],\n",
        "       [48576., 48604.],\n",
        "       [48604., 48635.],\n",
        "       [48635., 48665.],\n",
@@ -1651,7 +1666,7 @@
        "       [48726., 48757.],\n",
        "       [48757., 48788.],\n",
        "       [48788., 48818.],\n",
-       "       [48818., 48849.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.86 -88.86 ... 88.86 90.0</div><input id='attrs-069e6c9e-609a-4225-bbec-e0a07bd55d82' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-069e6c9e-609a-4225-bbec-e0a07bd55d82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05e17bdf-7828-40c1-9ab8-60cca39d6ef5' class='xr-var-data-in' type='checkbox'><label for='data-05e17bdf-7828-40c1-9ab8-60cca39d6ef5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-9.00000000e+01, -8.88592453e+01],\n",
+       "       [48818., 48849.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.86 -88.86 ... 88.86 90.0</div><input id='attrs-a311df9e-f851-4666-99f8-8505963dba65' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a311df9e-f851-4666-99f8-8505963dba65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d05e9a62-10df-45b9-80ed-eb5d76aa3d97' class='xr-var-data-in' type='checkbox'><label for='data-d05e9a62-10df-45b9-80ed-eb5d76aa3d97' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-9.00000000e+01, -8.88592453e+01],\n",
        "       [-8.88592453e+01, -8.77184982e+01],\n",
        "       [-8.77184982e+01, -8.65777512e+01],\n",
        "       [-8.65777512e+01, -8.56375122e+01],\n",
@@ -1691,7 +1706,7 @@
        "       [ 8.56375122e+01,  8.65777512e+01],\n",
        "       [ 8.65777512e+01,  8.77184982e+01],\n",
        "       [ 8.77184982e+01,  8.88592453e+01],\n",
-       "       [ 8.88592453e+01,  9.00000000e+01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.406 1.406 ... 358.6 360.0</div><input id='attrs-344b7580-f377-4e9a-aed9-43df7d0d5c1d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-344b7580-f377-4e9a-aed9-43df7d0d5c1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0726ea3f-4c33-4893-894f-2bcee26b1728' class='xr-var-data-in' type='checkbox'><label for='data-0726ea3f-4c33-4893-894f-2bcee26b1728' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.     ,   1.40625],\n",
+       "       [ 8.88592453e+01,  9.00000000e+01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.406 1.406 ... 358.6 360.0</div><input id='attrs-af1c1714-baed-480a-8c87-0ed0a269a7b1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-af1c1714-baed-480a-8c87-0ed0a269a7b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a3b6480-d992-4a08-bcc9-a7375c92dcc6' class='xr-var-data-in' type='checkbox'><label for='data-3a3b6480-d992-4a08-bcc9-a7375c92dcc6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.     ,   1.40625],\n",
        "       [  1.40625,   2.8125 ],\n",
        "       [  2.8125 ,   4.21875],\n",
        "       [  4.21875,   5.625  ],\n",
@@ -1731,7 +1746,7 @@
        "       [354.375  , 355.78125],\n",
        "       [355.78125, 357.1875 ],\n",
        "       [357.1875 , 358.59375],\n",
-       "       [358.59375, 360.     ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... -1.95 -1.95 -1.95</div><input id='attrs-e0ef2739-64e4-4b99-8243-8ac17c32ce4e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0ef2739-64e4-4b99-8243-8ac17c32ce4e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe23dbd1-d0a0-490e-96ac-9f45c5aaed8c' class='xr-var-data-in' type='checkbox'><label for='data-fe23dbd1-d0a0-490e-96ac-9f45c5aaed8c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd></dl></div><div class='xr-var-data'><pre>array([[[       nan,        nan,        nan, ...,        nan,\n",
+       "       [358.59375, 360.     ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... -1.95 -1.95 -1.95</div><input id='attrs-330272b3-c0db-46e9-9d64-7388b96b51c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-330272b3-c0db-46e9-9d64-7388b96b51c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-955a0a9d-9300-4cd2-b999-73f02de702d7' class='xr-var-data-in' type='checkbox'><label for='data-955a0a9d-9300-4cd2-b999-73f02de702d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd></dl></div><div class='xr-var-data'><pre>array([[[       nan,        nan,        nan, ...,        nan,\n",
        "                nan,        nan],\n",
        "        [       nan,        nan,        nan, ...,        nan,\n",
        "                nan,        nan],\n",
@@ -1771,7 +1786,7 @@
        "        [-1.9443665, -1.9438171, -1.9432068, ..., -1.9456787,\n",
        "         -1.9453125, -1.9448853],\n",
        "        [-1.9501038, -1.9501038, -1.9501038, ..., -1.9501038,\n",
-       "         -1.9501038, -1.9501038]]], shape=(10, 192, 256), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-00764aaa-0600-4277-928d-74d3e2fe71c7' class='xr-section-summary-in' type='checkbox' checked /><label for='section-00764aaa-0600-4277-928d-74d3e2fe71c7' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>tos_tavg-u-hxy-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-sea</dd><dt><span>creation_date :</span></dt><dd>2026-05-30T16:52:02Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacello</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-30T16:52:02Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/fd561794-c0b5-4b13-90b0-c6ec5894e16d</dd><dt><span>variable_id :</span></dt><dd>tos</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+       "         -1.9501038, -1.9501038]]], shape=(10, 192, 256), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-77485c7a-8cf6-4c5c-9d69-8ced19728cdd' class='xr-section-summary-in' type='checkbox' checked /><label for='section-77485c7a-8cf6-4c5c-9d69-8ced19728cdd' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>tos_tavg-u-hxy-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-sea</dd><dt><span>creation_date :</span></dt><dd>2026-05-30T17:10:17Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacello</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-30T17:10:17Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/b23c7bdd-5939-4a99-9bab-4e92493b1123</dd><dt><span>variable_id :</span></dt><dd>tos</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 2MB\n",
@@ -1792,7 +1807,7 @@
        "    area_label:            sea\n",
        "    branded_variable:      tos_tavg-u-hxy-sea\n",
        "    branding_suffix:       tavg-u-hxy-sea\n",
-       "    creation_date:         2026-05-30T16:52:02Z\n",
+       "    creation_date:         2026-05-30T17:10:17Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -1802,7 +1817,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-30T16:52:02Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-05-30T17:10:17Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1821,7 +1836,7 @@
        "    table_info:            Name: CMIP7_ocean.json; Creation Date:(2026-04-21 ...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/fd561794-c0b5-4b13-90b0-c6ec5894e16d\n",
+       "    tracking_id:           hdl:21.14107/b23c7bdd-5939-4a99-9bab-4e92493b1123\n",
        "    variable_id:           tos\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
@@ -1849,13 +1864,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T16:52:02.300737Z",
-     "iopub.status.busy": "2026-05-30T16:52:02.300633Z",
-     "iopub.status.idle": "2026-05-30T16:52:02.486040Z",
-     "shell.execute_reply": "2026-05-30T16:52:02.485553Z"
+     "iopub.execute_input": "2026-05-30T17:10:17.244004Z",
+     "iopub.status.busy": "2026-05-30T17:10:17.243911Z",
+     "iopub.status.idle": "2026-05-30T17:10:17.427240Z",
+     "shell.execute_reply": "2026-05-30T17:10:17.426672Z"
     }
    },
    "outputs": [
diff --git a/notebooks/02_atmos_surface_air_temperature.ipynb b/notebooks/02_atmos_surface_air_temperature.ipynb
index c8a4277a..adf2f441 100644
--- a/notebooks/02_atmos_surface_air_temperature.ipynb
+++ b/notebooks/02_atmos_surface_air_temperature.ipynb
@@ -14,10 +14,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T00:14:07.608494Z",
-     "iopub.status.busy": "2026-05-30T00:14:07.608413Z",
-     "iopub.status.idle": "2026-05-30T00:14:08.075501Z",
-     "shell.execute_reply": "2026-05-30T00:14:08.075125Z"
+     "iopub.execute_input": "2026-05-30T17:19:53.376803Z",
+     "iopub.status.busy": "2026-05-30T17:19:53.376699Z",
+     "iopub.status.idle": "2026-05-30T17:19:54.292086Z",
+     "shell.execute_reply": "2026-05-30T17:19:54.291601Z"
     }
    },
    "outputs": [
@@ -43,10 +43,13 @@
     "\n",
     "TABLES_DIR = \"../cmip7-cmor-tables/tables\"\n",
     "CV_PATH = \"../cmip7-cmor-tables/tables-cvs/cmor-cvs.json\"\n",
+    "DATA_PATH = Path(\"data\") / \"tas_Amon_GISS-E2-H_historical_r1i1p2_195101-195110.nc\"\n",
     "if not Path(TABLES_DIR).exists():\n",
     "    raise FileNotFoundError(f\"CMIP7 tables directory not found: {TABLES_DIR}\")\n",
     "if not Path(CV_PATH).exists():\n",
     "    raise FileNotFoundError(f\"CMIP7 CV file not found: {CV_PATH}\")\n",
+    "if not DATA_PATH.exists():\n",
+    "    raise FileNotFoundError(f\"Source data file not found: {DATA_PATH}\")\n",
     "\n",
     "print(f\"Using CMIP7 tables from {TABLES_DIR}\")\n"
    ]
@@ -56,10 +59,822 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T00:14:08.076842Z",
-     "iopub.status.busy": "2026-05-30T00:14:08.076726Z",
-     "iopub.status.idle": "2026-05-30T00:14:08.081631Z",
-     "shell.execute_reply": "2026-05-30T00:14:08.081251Z"
+     "iopub.execute_input": "2026-05-30T17:19:54.310063Z",
+     "iopub.status.busy": "2026-05-30T17:19:54.309841Z",
+     "iopub.status.idle": "2026-05-30T17:19:54.454797Z",
+     "shell.execute_reply": "2026-05-30T17:19:54.454270Z"
+    }
+   },
+   "outputs": [
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+       ".xr-array-wrap > input:enabled + label,\n",
+       ".xr-group-box-contents > input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:focus-visible + label,\n",
+       ".xr-var-item > input:focus-visible + label,\n",
+       ".xr-array-wrap > input:focus-visible + label,\n",
+       ".xr-group-box-contents > input:focus-visible + label {\n",
+       "  outline: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label:hover,\n",
+       ".xr-var-item > input:enabled + label:hover,\n",
+       ".xr-array-wrap > input:enabled + label:hover,\n",
+       ".xr-group-box-contents > input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "  white-space: nowrap;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > em {\n",
+       "  font-weight: normal;\n",
+       "}\n",
+       "\n",
+       ".xr-span-grid {\n",
+       "  grid-column-end: -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.6em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details,\n",
+       ".xr-group-box-contents > label {\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-top: 4px;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in ~ .xr-section-details {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-children {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 100%;\n",
+       "  grid-column: 1 / -1;\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 0px 30px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-vline {\n",
+       "  grid-column-start: 1;\n",
+       "  border-right: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "  width: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-hline {\n",
+       "  grid-column-start: 2;\n",
+       "  grid-row-start: 1;\n",
+       "  height: 1em;\n",
+       "  width: 26px;\n",
+       "  border-bottom: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents {\n",
+       "  grid-column-start: 3;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > label::before {\n",
+       "  content: \"📂\";\n",
+       "  padding-right: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label::before {\n",
+       "  content: \"📁\";\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label {\n",
+       "  padding-bottom: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-ellipsis {\n",
+       "  font-size: 1.4em;\n",
+       "  font-weight: 900;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  letter-spacing: 0.15em;\n",
+       "  cursor: default;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 524kB\n",
+       "Dimensions:    (time: 10, bnds: 2, lat: 90, lon: 144)\n",
+       "Coordinates:\n",
+       "  * time       (time) float64 80B 15.5 45.0 74.5 105.0 ... 227.5 258.0 288.5\n",
+       "  * lat        (lat) float64 720B -89.0 -87.0 -85.0 -83.0 ... 85.0 87.0 89.0\n",
+       "  * lon        (lon) float64 1kB 1.25 3.75 6.25 8.75 ... 351.2 353.8 356.2 358.8\n",
+       "    height     float64 8B 2.0\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) float64 160B 0.0 31.0 31.0 ... 273.0 273.0 304.0\n",
+       "    lat_bnds   (lat, bnds) float64 1kB -90.0 -88.0 -88.0 ... 88.0 88.0 90.0\n",
+       "    lon_bnds   (lon, bnds) float64 2kB 0.0 2.5 2.5 5.0 ... 357.5 357.5 360.0\n",
+       "    tas        (time, lat, lon) float32 518kB 246.9 246.9 246.9 ... 259.4 259.4\n",
+       "Attributes:\n",
+       "    institution:            NASA/GISS (Goddard Institute for Space Studies) N...\n",
+       "    institute_id:           NASA-GISS\n",
+       "    experiment_id:          historical\n",
+       "    source:                 GISS-E2-H-Eh137Tcadf9a Atmosphere: GISS-E2; Ocean: H\n",
+       "    model_id:               GISS-E2-H\n",
+       "    forcing:                GHG, LU, Sl, Vl, BC, OC, SA, Oz (also includes or...\n",
+       "    parent_experiment_id:   piControl\n",
+       "    parent_experiment_rip:  r1i1p2\n",
+       "    branch_time:            2490.0\n",
+       "    contact:                Kenneth Lo (cdkkl@giss.nasa.gov)\n",
+       "    references:             http://data.giss.nasa.gov/modelE/ar5\n",
+       "    initialization_method:  1\n",
+       "    physics_version:        2\n",
+       "    tracking_id:            d43050cd-5c43-4dc5-914a-f724463bc109\n",
+       "    product:                output\n",
+       "    experiment:             historical\n",
+       "    frequency:              mon\n",
+       "    creation_date:          2011-10-18T13:06:09Z\n",
+       "    history:                2011-10-18T13:06:09Z CMOR rewrote data to comply ...\n",
+       "    Conventions:            CF-1.4\n",
+       "    project_id:             CMIP5\n",
+       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
+       "    title:                  GISS-E2-H model output prepared for CMIP5 historical\n",
+       "    parent_experiment:      pre-industrial control\n",
+       "    modeling_realm:         atmos\n",
+       "    realization:            1\n",
+       "    cmor_version:           2.5.7</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a080c182-b619-42bb-820a-4cd509d7b6f3' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-a080c182-b619-42bb-820a-4cd509d7b6f3' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 90</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div></li><li class='xr-section-item'><input id='section-c25d87f7-3141-4920-a485-4bd178285ccf' class='xr-section-summary-in' type='checkbox' checked /><label for='section-c25d87f7-3141-4920-a485-4bd178285ccf' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.5 45.0 74.5 ... 258.0 288.5</div><input id='attrs-318cdf6d-6d87-4866-8ab2-8d51cd3eb6d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-318cdf6d-6d87-4866-8ab2-8d51cd3eb6d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fda6ae90-3b11-4e07-b520-250a92d089dd' class='xr-var-data-in' type='checkbox'><label for='data-fda6ae90-3b11-4e07-b520-250a92d089dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1951-1-1</dd><dt><span>calendar :</span></dt><dd>365_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([ 15.5,  45. ,  74.5, 105. , 135.5, 166. , 196.5, 227.5, 258. , 288.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.0 -87.0 -85.0 ... 87.0 89.0</div><input id='attrs-f6749aee-dc64-408e-aa40-ad884f664fed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6749aee-dc64-408e-aa40-ad884f664fed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b04d8aa-0bab-4cdf-9501-c53d1d05a8d6' class='xr-var-data-in' type='checkbox'><label for='data-3b04d8aa-0bab-4cdf-9501-c53d1d05a8d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89., -87., -85., -83., -81., -79., -77., -75., -73., -71., -69., -67.,\n",
+       "       -65., -63., -61., -59., -57., -55., -53., -51., -49., -47., -45., -43.,\n",
+       "       -41., -39., -37., -35., -33., -31., -29., -27., -25., -23., -21., -19.,\n",
+       "       -17., -15., -13., -11.,  -9.,  -7.,  -5.,  -3.,  -1.,   1.,   3.,   5.,\n",
+       "         7.,   9.,  11.,  13.,  15.,  17.,  19.,  21.,  23.,  25.,  27.,  29.,\n",
+       "        31.,  33.,  35.,  37.,  39.,  41.,  43.,  45.,  47.,  49.,  51.,  53.,\n",
+       "        55.,  57.,  59.,  61.,  63.,  65.,  67.,  69.,  71.,  73.,  75.,  77.,\n",
+       "        79.,  81.,  83.,  85.,  87.,  89.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.25 3.75 6.25 ... 356.2 358.8</div><input id='attrs-66288549-a400-4512-a417-a8e64ba6ed42' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66288549-a400-4512-a417-a8e64ba6ed42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-482f6730-9bbb-447b-803a-30c2ee693939' class='xr-var-data-in' type='checkbox'><label for='data-482f6730-9bbb-447b-803a-30c2ee693939' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  1.25,   3.75,   6.25,   8.75,  11.25,  13.75,  16.25,  18.75,  21.25,\n",
+       "        23.75,  26.25,  28.75,  31.25,  33.75,  36.25,  38.75,  41.25,  43.75,\n",
+       "        46.25,  48.75,  51.25,  53.75,  56.25,  58.75,  61.25,  63.75,  66.25,\n",
+       "        68.75,  71.25,  73.75,  76.25,  78.75,  81.25,  83.75,  86.25,  88.75,\n",
+       "        91.25,  93.75,  96.25,  98.75, 101.25, 103.75, 106.25, 108.75, 111.25,\n",
+       "       113.75, 116.25, 118.75, 121.25, 123.75, 126.25, 128.75, 131.25, 133.75,\n",
+       "       136.25, 138.75, 141.25, 143.75, 146.25, 148.75, 151.25, 153.75, 156.25,\n",
+       "       158.75, 161.25, 163.75, 166.25, 168.75, 171.25, 173.75, 176.25, 178.75,\n",
+       "       181.25, 183.75, 186.25, 188.75, 191.25, 193.75, 196.25, 198.75, 201.25,\n",
+       "       203.75, 206.25, 208.75, 211.25, 213.75, 216.25, 218.75, 221.25, 223.75,\n",
+       "       226.25, 228.75, 231.25, 233.75, 236.25, 238.75, 241.25, 243.75, 246.25,\n",
+       "       248.75, 251.25, 253.75, 256.25, 258.75, 261.25, 263.75, 266.25, 268.75,\n",
+       "       271.25, 273.75, 276.25, 278.75, 281.25, 283.75, 286.25, 288.75, 291.25,\n",
+       "       293.75, 296.25, 298.75, 301.25, 303.75, 306.25, 308.75, 311.25, 313.75,\n",
+       "       316.25, 318.75, 321.25, 323.75, 326.25, 328.75, 331.25, 333.75, 336.25,\n",
+       "       338.75, 341.25, 343.75, 346.25, 348.75, 351.25, 353.75, 356.25, 358.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-486092c2-78f1-47f2-9270-3c0a6fdd1be1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-486092c2-78f1-47f2-9270-3c0a6fdd1be1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88e1eb63-a4c4-42c2-940b-fcc72c2674ef' class='xr-var-data-in' type='checkbox'><label for='data-88e1eb63-a4c4-42c2-940b-fcc72c2674ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a13592d4-d8d7-428b-8e88-ad8c8e995bcb' class='xr-section-summary-in' type='checkbox' checked /><label for='section-a13592d4-d8d7-428b-8e88-ad8c8e995bcb' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 31.0 31.0 ... 273.0 273.0 304.0</div><input id='attrs-7fce7044-58e9-41dd-9f3d-a6b751e1658e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7fce7044-58e9-41dd-9f3d-a6b751e1658e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15929ccb-384f-4a8d-996d-f291ee039ead' class='xr-var-data-in' type='checkbox'><label for='data-15929ccb-384f-4a8d-996d-f291ee039ead' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  31.],\n",
+       "       [ 31.,  59.],\n",
+       "       [ 59.,  90.],\n",
+       "       [ 90., 120.],\n",
+       "       [120., 151.],\n",
+       "       [151., 181.],\n",
+       "       [181., 212.],\n",
+       "       [212., 243.],\n",
+       "       [243., 273.],\n",
+       "       [273., 304.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.0 -88.0 ... 88.0 90.0</div><input id='attrs-ba2f1635-b641-4c73-b130-f51a3c456594' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ba2f1635-b641-4c73-b130-f51a3c456594' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3804cf2-3bcb-4b7a-96bd-70f5516e2f60' class='xr-var-data-in' type='checkbox'><label for='data-d3804cf2-3bcb-4b7a-96bd-70f5516e2f60' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -88.],\n",
+       "       [-88., -86.],\n",
+       "       [-86., -84.],\n",
+       "       [-84., -82.],\n",
+       "       [-82., -80.],\n",
+       "       [-80., -78.],\n",
+       "       [-78., -76.],\n",
+       "       [-76., -74.],\n",
+       "       [-74., -72.],\n",
+       "       [-72., -70.],\n",
+       "       [-70., -68.],\n",
+       "       [-68., -66.],\n",
+       "       [-66., -64.],\n",
+       "       [-64., -62.],\n",
+       "       [-62., -60.],\n",
+       "       [-60., -58.],\n",
+       "       [-58., -56.],\n",
+       "       [-56., -54.],\n",
+       "       [-54., -52.],\n",
+       "       [-52., -50.],\n",
+       "...\n",
+       "       [ 50.,  52.],\n",
+       "       [ 52.,  54.],\n",
+       "       [ 54.,  56.],\n",
+       "       [ 56.,  58.],\n",
+       "       [ 58.,  60.],\n",
+       "       [ 60.,  62.],\n",
+       "       [ 62.,  64.],\n",
+       "       [ 64.,  66.],\n",
+       "       [ 66.,  68.],\n",
+       "       [ 68.,  70.],\n",
+       "       [ 70.,  72.],\n",
+       "       [ 72.,  74.],\n",
+       "       [ 74.,  76.],\n",
+       "       [ 76.,  78.],\n",
+       "       [ 78.,  80.],\n",
+       "       [ 80.,  82.],\n",
+       "       [ 82.,  84.],\n",
+       "       [ 84.,  86.],\n",
+       "       [ 86.,  88.],\n",
+       "       [ 88.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.5 2.5 ... 357.5 357.5 360.0</div><input id='attrs-a21b5243-03b5-44f0-be5c-13a3eca996e8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a21b5243-03b5-44f0-be5c-13a3eca996e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-260033c1-041e-42dd-b9f9-adffa3948a44' class='xr-var-data-in' type='checkbox'><label for='data-260033c1-041e-42dd-b9f9-adffa3948a44' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0. ,   2.5],\n",
+       "       [  2.5,   5. ],\n",
+       "       [  5. ,   7.5],\n",
+       "       [  7.5,  10. ],\n",
+       "       [ 10. ,  12.5],\n",
+       "       [ 12.5,  15. ],\n",
+       "       [ 15. ,  17.5],\n",
+       "       [ 17.5,  20. ],\n",
+       "       [ 20. ,  22.5],\n",
+       "       [ 22.5,  25. ],\n",
+       "       [ 25. ,  27.5],\n",
+       "       [ 27.5,  30. ],\n",
+       "       [ 30. ,  32.5],\n",
+       "       [ 32.5,  35. ],\n",
+       "       [ 35. ,  37.5],\n",
+       "       [ 37.5,  40. ],\n",
+       "       [ 40. ,  42.5],\n",
+       "       [ 42.5,  45. ],\n",
+       "       [ 45. ,  47.5],\n",
+       "       [ 47.5,  50. ],\n",
+       "...\n",
+       "       [310. , 312.5],\n",
+       "       [312.5, 315. ],\n",
+       "       [315. , 317.5],\n",
+       "       [317.5, 320. ],\n",
+       "       [320. , 322.5],\n",
+       "       [322.5, 325. ],\n",
+       "       [325. , 327.5],\n",
+       "       [327.5, 330. ],\n",
+       "       [330. , 332.5],\n",
+       "       [332.5, 335. ],\n",
+       "       [335. , 337.5],\n",
+       "       [337.5, 340. ],\n",
+       "       [340. , 342.5],\n",
+       "       [342.5, 345. ],\n",
+       "       [345. , 347.5],\n",
+       "       [347.5, 350. ],\n",
+       "       [350. , 352.5],\n",
+       "       [352.5, 355. ],\n",
+       "       [355. , 357.5],\n",
+       "       [357.5, 360. ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>246.9 246.9 246.9 ... 259.4 259.4</div><input id='attrs-726d2176-1491-4b9b-8b61-c6aab7e6a422' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-726d2176-1491-4b9b-8b61-c6aab7e6a422' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57cc5d26-d6aa-4c59-bfdd-1f0f6fadb74d' class='xr-var-data-in' type='checkbox'><label for='data-57cc5d26-d6aa-4c59-bfdd-1f0f6fadb74d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>dummy</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-10-18T13:06:08Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2011-10-18T13:06:08Z altered by CMOR: replaced missing value flag (-1e+30) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_GISS-E2-H_historical_r0i0p0.nc areacella: areacella_fx_GISS-E2-H_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[[246.86728, 246.86728, 246.86728, ..., 246.86728, 246.86728,\n",
+       "         246.86728],\n",
+       "        [248.9035 , 248.54457, 248.41835, ..., 249.81686, 249.28986,\n",
+       "         249.04837],\n",
+       "        [249.00377, 247.89893, 247.59648, ..., 250.52367, 250.40804,\n",
+       "         249.95767],\n",
+       "        ...,\n",
+       "        [244.49625, 244.8527 , 244.9202 , ..., 244.34276, 244.54477,\n",
+       "         244.54547],\n",
+       "        [243.83018, 243.76509, 243.94258, ..., 243.30023, 243.545  ,\n",
+       "         243.58965],\n",
+       "        [240.78905, 240.78905, 240.78905, ..., 240.78905, 240.78905,\n",
+       "         240.78905]],\n",
+       "\n",
+       "       [[237.30267, 237.30267, 237.30267, ..., 237.30267, 237.30267,\n",
+       "         237.30267],\n",
+       "        [242.50592, 242.29816, 242.0082 , ..., 243.48294, 243.1406 ,\n",
+       "         242.75697],\n",
+       "        [244.73744, 244.23917, 243.90952, ..., 245.81609, 245.63405,\n",
+       "         245.1311 ],\n",
+       "...\n",
+       "        [265.2184 , 265.34525, 265.6025 , ..., 264.83234, 265.33496,\n",
+       "         265.30453],\n",
+       "        [265.6052 , 265.6468 , 265.736  , ..., 265.61053, 265.53055,\n",
+       "         265.7236 ],\n",
+       "        [265.90643, 265.90643, 265.90643, ..., 265.90643, 265.90643,\n",
+       "         265.90643]],\n",
+       "\n",
+       "       [[212.96765, 212.96765, 212.96765, ..., 212.96765, 212.96765,\n",
+       "         212.96765],\n",
+       "        [227.39067, 227.45868, 225.59088, ..., 228.0285 , 227.92722,\n",
+       "         227.8851 ],\n",
+       "        [228.12408, 227.8222 , 227.45256, ..., 229.52286, 229.08876,\n",
+       "         228.57202],\n",
+       "        ...,\n",
+       "        [263.1174 , 262.69617, 263.16614, ..., 262.4634 , 262.9137 ,\n",
+       "         262.76703],\n",
+       "        [260.8171 , 261.04578, 261.01935, ..., 261.011  , 260.5789 ,\n",
+       "         260.7901 ],\n",
+       "        [259.38904, 259.38904, 259.38904, ..., 259.38904, 259.38904,\n",
+       "         259.38904]]], shape=(10, 90, 144), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0beba8d6-05a9-4b77-aca4-43f6c1a0852e' class='xr-section-summary-in' type='checkbox' checked /><label for='section-0beba8d6-05a9-4b77-aca4-43f6c1a0852e' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(27)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>NASA/GISS (Goddard Institute for Space Studies) New York, NY</dd><dt><span>institute_id :</span></dt><dd>NASA-GISS</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>GISS-E2-H-Eh137Tcadf9a Atmosphere: GISS-E2; Ocean: H</dd><dt><span>model_id :</span></dt><dd>GISS-E2-H</dd><dt><span>forcing :</span></dt><dd>GHG, LU, Sl, Vl, BC, OC, SA, Oz (also includes orbital change - BC on snow - Nitrate aerosols)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p2</dd><dt><span>branch_time :</span></dt><dd>2490.0</dd><dt><span>contact :</span></dt><dd>Kenneth Lo (cdkkl@giss.nasa.gov)</dd><dt><span>references :</span></dt><dd>http://data.giss.nasa.gov/modelE/ar5</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>2</dd><dt><span>tracking_id :</span></dt><dd>d43050cd-5c43-4dc5-914a-f724463bc109</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2011-10-18T13:06:09Z</dd><dt><span>history :</span></dt><dd>2011-10-18T13:06:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (31 January 2011) 53b766a395ac41696af40aab76a49ae5</dd><dt><span>title :</span></dt><dd>GISS-E2-H model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.5.7</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 524kB\n",
+       "Dimensions:    (time: 10, bnds: 2, lat: 90, lon: 144)\n",
+       "Coordinates:\n",
+       "  * time       (time) float64 80B 15.5 45.0 74.5 105.0 ... 227.5 258.0 288.5\n",
+       "  * lat        (lat) float64 720B -89.0 -87.0 -85.0 -83.0 ... 85.0 87.0 89.0\n",
+       "  * lon        (lon) float64 1kB 1.25 3.75 6.25 8.75 ... 351.2 353.8 356.2 358.8\n",
+       "    height     float64 8B 2.0\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) float64 160B 0.0 31.0 31.0 ... 273.0 273.0 304.0\n",
+       "    lat_bnds   (lat, bnds) float64 1kB -90.0 -88.0 -88.0 ... 88.0 88.0 90.0\n",
+       "    lon_bnds   (lon, bnds) float64 2kB 0.0 2.5 2.5 5.0 ... 357.5 357.5 360.0\n",
+       "    tas        (time, lat, lon) float32 518kB 246.9 246.9 246.9 ... 259.4 259.4\n",
+       "Attributes:\n",
+       "    institution:            NASA/GISS (Goddard Institute for Space Studies) N...\n",
+       "    institute_id:           NASA-GISS\n",
+       "    experiment_id:          historical\n",
+       "    source:                 GISS-E2-H-Eh137Tcadf9a Atmosphere: GISS-E2; Ocean: H\n",
+       "    model_id:               GISS-E2-H\n",
+       "    forcing:                GHG, LU, Sl, Vl, BC, OC, SA, Oz (also includes or...\n",
+       "    parent_experiment_id:   piControl\n",
+       "    parent_experiment_rip:  r1i1p2\n",
+       "    branch_time:            2490.0\n",
+       "    contact:                Kenneth Lo (cdkkl@giss.nasa.gov)\n",
+       "    references:             http://data.giss.nasa.gov/modelE/ar5\n",
+       "    initialization_method:  1\n",
+       "    physics_version:        2\n",
+       "    tracking_id:            d43050cd-5c43-4dc5-914a-f724463bc109\n",
+       "    product:                output\n",
+       "    experiment:             historical\n",
+       "    frequency:              mon\n",
+       "    creation_date:          2011-10-18T13:06:09Z\n",
+       "    history:                2011-10-18T13:06:09Z CMOR rewrote data to comply ...\n",
+       "    Conventions:            CF-1.4\n",
+       "    project_id:             CMIP5\n",
+       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
+       "    title:                  GISS-E2-H model output prepared for CMIP5 historical\n",
+       "    parent_experiment:      pre-industrial control\n",
+       "    modeling_realm:         atmos\n",
+       "    realization:            1\n",
+       "    cmor_version:           2.5.7"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "with xr.open_dataset(DATA_PATH, decode_times=False) as opened:\n",
+    "    source = opened.load()\n",
+    "\n",
+    "with xr.set_options(\n",
+    "    display_style=\"html\",\n",
+    "    display_expand_attrs=True,\n",
+    "    display_expand_coords=True,\n",
+    "    display_expand_data_vars=True,\n",
+    "    display_max_rows=80,\n",
+    "):\n",
+    "    display(source)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-30T17:19:54.456439Z",
+     "iopub.status.busy": "2026-05-30T17:19:54.456334Z",
+     "iopub.status.idle": "2026-05-30T17:19:54.464384Z",
+     "shell.execute_reply": "2026-05-30T17:19:54.463804Z"
     }
    },
    "outputs": [
@@ -67,7 +882,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "(3, 1, 18, 36)\n"
+      "(10, 1, 90, 144)\n"
      ]
     }
    ],
@@ -84,7 +899,7 @@
     "    \"_cmip7_option\": 1,\n",
     "    \"_controlled_vocabulary_file\": CV_PATH,\n",
     "    \"activity_id\": \"CMIP\",\n",
-    "    \"calendar\": \"360_day\",\n",
+    "    \"calendar\": source[\"time\"].attrs.get(\"calendar\", \"standard\"),\n",
     "    \"experiment_id\": \"amip\",\n",
     "    \"forcing_index\": \"f3\",\n",
     "    \"frequency\": \"mon\",\n",
@@ -103,31 +918,32 @@
     "input_json = run_dir / \"input.json\"\n",
     "input_json.write_text(json.dumps(DATASET_INFO, indent=2, sort_keys=True))\n",
     "\n",
-    "lat = np.arange(-85.0, 90.0, 10.0)\n",
-    "lat_bnds = np.arange(-90.0, 91.0, 10.0)\n",
-    "lon = np.arange(5.0, 360.0, 10.0)\n",
-    "lon_bnds = np.arange(0.0, 361.0, 10.0)\n",
-    "time = 15.0 + 30.0 * np.arange(3, dtype=\"f8\")\n",
-    "time_bnds = 30.0 * np.arange(4, dtype=\"f8\")\n",
-    "time_units = \"days since 2018-01-01\"\n",
+    "lat = source[\"lat\"].values.astype(\"f8\")\n",
+    "lat_bnds = source[\"lat_bnds\"].values.astype(\"f8\")\n",
+    "lon = source[\"lon\"].values.astype(\"f8\")\n",
+    "lon_bnds = source[\"lon_bnds\"].values.astype(\"f8\")\n",
+    "time = source[\"time\"].values.astype(\"f8\")\n",
+    "time_bnds = source[\"time_bnds\"].values.astype(\"f8\")\n",
+    "time_units = source[\"time\"].attrs[\"units\"]\n",
+    "height = np.array([float(source[\"height\"].values)], dtype=\"f8\")\n",
+    "height_units = source[\"height\"].attrs.get(\"units\", \"m\")\n",
     "\n",
-    "seasonal_cycle = np.array([-5.0, -1.0, 3.0], dtype=\"f4\")[:, None, None, None]\n",
-    "lat_term = np.sin(np.deg2rad(lat))[None, None, :, None] ** 2\n",
-    "lon_term = np.cos(np.deg2rad(lon))[None, None, None, :]\n",
-    "tas = (288.0 - 45.0 * lat_term + 2.0 * lon_term + seasonal_cycle).astype(\"f4\")\n",
+    "missing_value = np.float32(1.0e20)\n",
+    "tas_source = source[\"tas\"].values.astype(\"f4\")\n",
+    "tas = np.where(np.isfinite(tas_source), tas_source, missing_value).astype(\"f4\")[:, None, :, :]\n",
     "\n",
     "print(tas.shape)\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T00:14:08.082730Z",
-     "iopub.status.busy": "2026-05-30T00:14:08.082655Z",
-     "iopub.status.idle": "2026-05-30T00:14:08.155924Z",
-     "shell.execute_reply": "2026-05-30T00:14:08.155552Z"
+     "iopub.execute_input": "2026-05-30T17:19:54.465882Z",
+     "iopub.status.busy": "2026-05-30T17:19:54.465748Z",
+     "iopub.status.idle": "2026-05-30T17:19:54.561348Z",
+     "shell.execute_reply": "2026-05-30T17:19:54.560647Z"
     }
    },
    "outputs": [
@@ -135,7 +951,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "output/02_atmos_surface_air_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tas/tavg-h2m-hxy-u/g999/v20260529/tas_tavg-h2m-hxy-u_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201801-201803.nc\n"
+      "output/02_atmos_surface_air_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tas/tavg-h2m-hxy-u/g999/v20260530/tas_tavg-h2m-hxy-u_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_195101-195110.nc\n"
      ]
     }
    ],
@@ -149,12 +965,12 @@
     "cmor.load_table(\"CMIP7_atmos.json\")\n",
     "\n",
     "time_id = cmor.axis(\"time\", coord_vals=time, cell_bounds=time_bnds, units=time_units)\n",
-    "height_id = cmor.axis(\"height2m\", coord_vals=np.array([2.0]), units=\"m\")\n",
+    "height_id = cmor.axis(\"height2m\", coord_vals=height, units=height_units)\n",
     "lat_id = cmor.axis(\"latitude\", coord_vals=lat, cell_bounds=lat_bnds, units=\"degrees_north\")\n",
     "lon_id = cmor.axis(\"longitude\", coord_vals=lon, cell_bounds=lon_bnds, units=\"degrees_east\")\n",
     "\n",
     "variable_name = \"tas_tavg-h2m-hxy-u\"\n",
-    "tas_id = cmor.variable(variable_name, \"K\", [time_id, height_id, lat_id, lon_id])\n",
+    "tas_id = cmor.variable(variable_name, \"K\", [time_id, height_id, lat_id, lon_id], missing_value=missing_value)\n",
     "compound_name = \".\".join([\"atmos\"] + variable_name.split(\"_\") + [\"mon\", \"glb\"])\n",
     "\n",
     "with open(Path(TABLES_DIR) / \"CMIP7_cell_measures.json\") as handle:\n",
@@ -176,13 +992,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T00:14:08.157165Z",
-     "iopub.status.busy": "2026-05-30T00:14:08.157094Z",
-     "iopub.status.idle": "2026-05-30T00:14:08.280673Z",
-     "shell.execute_reply": "2026-05-30T00:14:08.280128Z"
+     "iopub.execute_input": "2026-05-30T17:19:54.562919Z",
+     "iopub.status.busy": "2026-05-30T17:19:54.562810Z",
+     "iopub.status.idle": "2026-05-30T17:19:54.579039Z",
+     "shell.execute_reply": "2026-05-30T17:19:54.578529Z"
     }
    },
    "outputs": [
@@ -731,26 +1547,26 @@
        "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
        "  stroke-width: 0.8px;\n",
        "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 9kB\n",
-       "Dimensions:    (time: 3, bnds: 2, lat: 18, lon: 36)\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 524kB\n",
+       "Dimensions:    (time: 10, bnds: 2, lat: 90, lon: 144)\n",
        "Coordinates:\n",
-       "  * time       (time) float64 24B 15.0 45.0 75.0\n",
-       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
-       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
+       "  * time       (time) float64 80B 15.5 45.0 74.5 105.0 ... 227.5 258.0 288.5\n",
+       "  * lat        (lat) float64 720B -89.0 -87.0 -85.0 -83.0 ... 85.0 87.0 89.0\n",
+       "  * lon        (lon) float64 1kB 1.25 3.75 6.25 8.75 ... 351.2 353.8 356.2 358.8\n",
        "    height     float64 8B 2.0\n",
        "Dimensions without coordinates: bnds\n",
        "Data variables:\n",
-       "    time_bnds  (time, bnds) float64 48B 0.0 30.0 30.0 60.0 60.0 90.0\n",
-       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
-       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
-       "    tas        (time, lat, lon) float32 8kB 240.3 240.3 240.2 ... 248.3 248.3\n",
+       "    time_bnds  (time, bnds) float64 160B 0.0 31.0 31.0 ... 273.0 273.0 304.0\n",
+       "    lat_bnds   (lat, bnds) float64 1kB -90.0 -88.0 -88.0 ... 88.0 88.0 90.0\n",
+       "    lon_bnds   (lon, bnds) float64 2kB 0.0 2.5 2.5 5.0 ... 357.5 357.5 360.0\n",
+       "    tas        (time, lat, lon) float32 518kB 246.9 246.9 246.9 ... 259.4 259.4\n",
        "Attributes:\n",
        "    Conventions:           CF-1.12\n",
        "    activity_id:           CMIP\n",
        "    area_label:            u\n",
        "    branded_variable:      tas_tavg-h2m-hxy-u\n",
        "    branding_suffix:       tavg-h2m-hxy-u\n",
-       "    creation_date:         2026-05-30T00:14:08Z\n",
+       "    creation_date:         2026-05-30T17:19:54Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -760,7 +1576,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-30T00:14:08Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-05-30T17:19:54Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -779,131 +1595,185 @@
        "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/ce506b60-0ff6-4aee-aa8b-6e9a4130f68f\n",
+       "    tracking_id:           hdl:21.14107/5be8cd5e-35d7-4868-bcd3-e2a00208407b\n",
        "    variable_id:           tas\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        h2m\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-942fb64b-d991-443a-a6ab-a7ac79cfc38c' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-942fb64b-d991-443a-a6ab-a7ac79cfc38c' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 3</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div></li><li class='xr-section-item'><input id='section-a11df87d-68e7-44ae-bda2-dcca4de6bf32' class='xr-section-summary-in' type='checkbox' checked /><label for='section-a11df87d-68e7-44ae-bda2-dcca4de6bf32' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0 75.0</div><input id='attrs-e7597908-9ea3-434e-9e2c-3576761ef3e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7597908-9ea3-434e-9e2c-3576761ef3e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89653f16-af45-410c-b618-ab3a98c6de6c' class='xr-var-data-in' type='checkbox'><label for='data-89653f16-af45-410c-b618-ab3a98c6de6c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45., 75.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-2d0de015-51c3-4a85-a1f5-8fbb51c78ab0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d0de015-51c3-4a85-a1f5-8fbb51c78ab0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-250a60ab-4b06-472f-b7ea-b33e4ba20883' class='xr-var-data-in' type='checkbox'><label for='data-250a60ab-4b06-472f-b7ea-b33e4ba20883' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
-       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-6ceabbb1-c2be-4f9b-bae3-76d476089443' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ceabbb1-c2be-4f9b-bae3-76d476089443' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fcdc214-24f1-4c05-95d1-74214d904578' class='xr-var-data-in' type='checkbox'><label for='data-7fcdc214-24f1-4c05-95d1-74214d904578' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
-       "       125., 135., 145., 155., 165., 175., 185., 195., 205., 215., 225., 235.,\n",
-       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-fe385673-a0d5-4af6-9d9b-0319e775ae82' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe385673-a0d5-4af6-9d9b-0319e775ae82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb91ba58-00c7-4c00-b581-a0cd8de5676e' class='xr-var-data-in' type='checkbox'><label for='data-bb91ba58-00c7-4c00-b581-a0cd8de5676e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5f20c401-b7b2-42eb-b08f-2acc30996119' class='xr-section-summary-in' type='checkbox' checked /><label for='section-5f20c401-b7b2-42eb-b08f-2acc30996119' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0 60.0 90.0</div><input id='attrs-a2d01217-15fd-4d4f-9aa6-ec34ab04c8a1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a2d01217-15fd-4d4f-9aa6-ec34ab04c8a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3609cda5-f54d-463a-add9-4e72cdbbab1d' class='xr-var-data-in' type='checkbox'><label for='data-3609cda5-f54d-463a-add9-4e72cdbbab1d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
-       "       [30., 60.],\n",
-       "       [60., 90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-7bc09b3d-ca53-40a0-bb33-f26bb5f4575e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7bc09b3d-ca53-40a0-bb33-f26bb5f4575e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddd6f95e-b963-464a-81d7-481b55f8c478' class='xr-var-data-in' type='checkbox'><label for='data-ddd6f95e-b963-464a-81d7-481b55f8c478' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
-       "       [-80., -70.],\n",
-       "       [-70., -60.],\n",
-       "       [-60., -50.],\n",
-       "       [-50., -40.],\n",
-       "       [-40., -30.],\n",
-       "       [-30., -20.],\n",
-       "       [-20., -10.],\n",
-       "       [-10.,   0.],\n",
-       "       [  0.,  10.],\n",
-       "       [ 10.,  20.],\n",
-       "       [ 20.,  30.],\n",
-       "       [ 30.,  40.],\n",
-       "       [ 40.,  50.],\n",
-       "       [ 50.,  60.],\n",
-       "       [ 60.,  70.],\n",
-       "       [ 70.,  80.],\n",
-       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-4bbf0ceb-ccc9-4e0c-a504-e805e09ccb7f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4bbf0ceb-ccc9-4e0c-a504-e805e09ccb7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-824d46a8-15c0-4f03-a278-f738fa0b7016' class='xr-var-data-in' type='checkbox'><label for='data-824d46a8-15c0-4f03-a278-f738fa0b7016' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
-       "       [ 10.,  20.],\n",
-       "       [ 20.,  30.],\n",
-       "       [ 30.,  40.],\n",
-       "       [ 40.,  50.],\n",
-       "       [ 50.,  60.],\n",
-       "       [ 60.,  70.],\n",
-       "       [ 70.,  80.],\n",
-       "       [ 80.,  90.],\n",
-       "       [ 90., 100.],\n",
-       "       [100., 110.],\n",
-       "       [110., 120.],\n",
-       "       [120., 130.],\n",
-       "       [130., 140.],\n",
-       "       [140., 150.],\n",
-       "       [150., 160.],\n",
-       "       [160., 170.],\n",
-       "       [170., 180.],\n",
-       "       [180., 190.],\n",
-       "       [190., 200.],\n",
-       "       [200., 210.],\n",
-       "       [210., 220.],\n",
-       "       [220., 230.],\n",
-       "       [230., 240.],\n",
-       "       [240., 250.],\n",
-       "       [250., 260.],\n",
-       "       [260., 270.],\n",
-       "       [270., 280.],\n",
-       "       [280., 290.],\n",
-       "       [290., 300.],\n",
-       "       [300., 310.],\n",
-       "       [310., 320.],\n",
-       "       [320., 330.],\n",
-       "       [330., 340.],\n",
-       "       [340., 350.],\n",
-       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>240.3 240.3 240.2 ... 248.3 248.3</div><input id='attrs-64d50f7d-9404-4aec-9d71-f1a5d83a38e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64d50f7d-9404-4aec-9d71-f1a5d83a38e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-434f6ba6-348d-400f-bc19-b15fa5219102' class='xr-var-data-in' type='checkbox'><label for='data-434f6ba6-348d-400f-bc19-b15fa5219102' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>history :</span></dt><dd>2026-05-30T00:14:08Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;.</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[240.33421, 240.27368, 240.15443, ..., 240.15443, 240.27368,\n",
-       "         240.33421],\n",
-       "        [243.00682, 242.94627, 242.82704, ..., 242.82704, 242.94627,\n",
-       "         243.00682],\n",
-       "        [248.02966, 247.96913, 247.8499 , ..., 247.8499 , 247.96913,\n",
-       "         248.02966],\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-55a178e5-512d-4fea-b53f-75bed6838751' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-55a178e5-512d-4fea-b53f-75bed6838751' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 90</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div></li><li class='xr-section-item'><input id='section-d334d8d0-3617-4972-a4dd-e880187eb374' class='xr-section-summary-in' type='checkbox' checked /><label for='section-d334d8d0-3617-4972-a4dd-e880187eb374' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.5 45.0 74.5 ... 258.0 288.5</div><input id='attrs-82098cc9-5427-4d88-8faf-1754f2b62539' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82098cc9-5427-4d88-8faf-1754f2b62539' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-235baebc-2328-4960-890f-946ebbf1cdef' class='xr-var-data-in' type='checkbox'><label for='data-235baebc-2328-4960-890f-946ebbf1cdef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1951-1-1</dd><dt><span>calendar :</span></dt><dd>365_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([ 15.5,  45. ,  74.5, 105. , 135.5, 166. , 196.5, 227.5, 258. , 288.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.0 -87.0 -85.0 ... 87.0 89.0</div><input id='attrs-3b211a6b-2991-4f7b-b7e8-cf45da1a31da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b211a6b-2991-4f7b-b7e8-cf45da1a31da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44586e26-b6a2-46a6-b1cc-a49c15baaa7c' class='xr-var-data-in' type='checkbox'><label for='data-44586e26-b6a2-46a6-b1cc-a49c15baaa7c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89., -87., -85., -83., -81., -79., -77., -75., -73., -71., -69., -67.,\n",
+       "       -65., -63., -61., -59., -57., -55., -53., -51., -49., -47., -45., -43.,\n",
+       "       -41., -39., -37., -35., -33., -31., -29., -27., -25., -23., -21., -19.,\n",
+       "       -17., -15., -13., -11.,  -9.,  -7.,  -5.,  -3.,  -1.,   1.,   3.,   5.,\n",
+       "         7.,   9.,  11.,  13.,  15.,  17.,  19.,  21.,  23.,  25.,  27.,  29.,\n",
+       "        31.,  33.,  35.,  37.,  39.,  41.,  43.,  45.,  47.,  49.,  51.,  53.,\n",
+       "        55.,  57.,  59.,  61.,  63.,  65.,  67.,  69.,  71.,  73.,  75.,  77.,\n",
+       "        79.,  81.,  83.,  85.,  87.,  89.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.25 3.75 6.25 ... 356.2 358.8</div><input id='attrs-b404ea0e-298d-475c-86f8-aa8ab9eb89c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b404ea0e-298d-475c-86f8-aa8ab9eb89c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17da28d6-a9d8-4ee0-86a5-328aadc3ac7f' class='xr-var-data-in' type='checkbox'><label for='data-17da28d6-a9d8-4ee0-86a5-328aadc3ac7f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  1.25,   3.75,   6.25,   8.75,  11.25,  13.75,  16.25,  18.75,  21.25,\n",
+       "        23.75,  26.25,  28.75,  31.25,  33.75,  36.25,  38.75,  41.25,  43.75,\n",
+       "        46.25,  48.75,  51.25,  53.75,  56.25,  58.75,  61.25,  63.75,  66.25,\n",
+       "        68.75,  71.25,  73.75,  76.25,  78.75,  81.25,  83.75,  86.25,  88.75,\n",
+       "        91.25,  93.75,  96.25,  98.75, 101.25, 103.75, 106.25, 108.75, 111.25,\n",
+       "       113.75, 116.25, 118.75, 121.25, 123.75, 126.25, 128.75, 131.25, 133.75,\n",
+       "       136.25, 138.75, 141.25, 143.75, 146.25, 148.75, 151.25, 153.75, 156.25,\n",
+       "       158.75, 161.25, 163.75, 166.25, 168.75, 171.25, 173.75, 176.25, 178.75,\n",
+       "       181.25, 183.75, 186.25, 188.75, 191.25, 193.75, 196.25, 198.75, 201.25,\n",
+       "       203.75, 206.25, 208.75, 211.25, 213.75, 216.25, 218.75, 221.25, 223.75,\n",
+       "       226.25, 228.75, 231.25, 233.75, 236.25, 238.75, 241.25, 243.75, 246.25,\n",
+       "       248.75, 251.25, 253.75, 256.25, 258.75, 261.25, 263.75, 266.25, 268.75,\n",
+       "       271.25, 273.75, 276.25, 278.75, 281.25, 283.75, 286.25, 288.75, 291.25,\n",
+       "       293.75, 296.25, 298.75, 301.25, 303.75, 306.25, 308.75, 311.25, 313.75,\n",
+       "       316.25, 318.75, 321.25, 323.75, 326.25, 328.75, 331.25, 333.75, 336.25,\n",
+       "       338.75, 341.25, 343.75, 346.25, 348.75, 351.25, 353.75, 356.25, 358.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-fe9f5ecf-4633-4f08-aa81-8898eb69381b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe9f5ecf-4633-4f08-aa81-8898eb69381b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e61bf5ae-5694-4f8b-9142-7346aee2dc3a' class='xr-var-data-in' type='checkbox'><label for='data-e61bf5ae-5694-4f8b-9142-7346aee2dc3a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-66cd1a5d-2eda-4d9f-b5bc-8981624817cd' class='xr-section-summary-in' type='checkbox' checked /><label for='section-66cd1a5d-2eda-4d9f-b5bc-8981624817cd' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 31.0 31.0 ... 273.0 273.0 304.0</div><input id='attrs-963a2032-ba37-43eb-a3f2-cd0fbd0bb128' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-963a2032-ba37-43eb-a3f2-cd0fbd0bb128' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3be0717e-2ec2-45c0-ae43-b375bafab812' class='xr-var-data-in' type='checkbox'><label for='data-3be0717e-2ec2-45c0-ae43-b375bafab812' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  31.],\n",
+       "       [ 31.,  59.],\n",
+       "       [ 59.,  90.],\n",
+       "       [ 90., 120.],\n",
+       "       [120., 151.],\n",
+       "       [151., 181.],\n",
+       "       [181., 212.],\n",
+       "       [212., 243.],\n",
+       "       [243., 273.],\n",
+       "       [273., 304.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.0 -88.0 ... 88.0 90.0</div><input id='attrs-66595dff-bd9f-41bb-89d3-82ae3c4419db' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-66595dff-bd9f-41bb-89d3-82ae3c4419db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3aa8ba4-2384-4ea3-b28e-2f8235c9b219' class='xr-var-data-in' type='checkbox'><label for='data-b3aa8ba4-2384-4ea3-b28e-2f8235c9b219' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -88.],\n",
+       "       [-88., -86.],\n",
+       "       [-86., -84.],\n",
+       "       [-84., -82.],\n",
+       "       [-82., -80.],\n",
+       "       [-80., -78.],\n",
+       "       [-78., -76.],\n",
+       "       [-76., -74.],\n",
+       "       [-74., -72.],\n",
+       "       [-72., -70.],\n",
+       "       [-70., -68.],\n",
+       "       [-68., -66.],\n",
+       "       [-66., -64.],\n",
+       "       [-64., -62.],\n",
+       "       [-62., -60.],\n",
+       "       [-60., -58.],\n",
+       "       [-58., -56.],\n",
+       "       [-56., -54.],\n",
+       "       [-54., -52.],\n",
+       "       [-52., -50.],\n",
+       "...\n",
+       "       [ 50.,  52.],\n",
+       "       [ 52.,  54.],\n",
+       "       [ 54.,  56.],\n",
+       "       [ 56.,  58.],\n",
+       "       [ 58.,  60.],\n",
+       "       [ 60.,  62.],\n",
+       "       [ 62.,  64.],\n",
+       "       [ 64.,  66.],\n",
+       "       [ 66.,  68.],\n",
+       "       [ 68.,  70.],\n",
+       "       [ 70.,  72.],\n",
+       "       [ 72.,  74.],\n",
+       "       [ 74.,  76.],\n",
+       "       [ 76.,  78.],\n",
+       "       [ 78.,  80.],\n",
+       "       [ 80.,  82.],\n",
+       "       [ 82.,  84.],\n",
+       "       [ 84.,  86.],\n",
+       "       [ 86.,  88.],\n",
+       "       [ 88.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.5 2.5 ... 357.5 357.5 360.0</div><input id='attrs-b1853392-b477-471b-9da2-c39ca3e8d43e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b1853392-b477-471b-9da2-c39ca3e8d43e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-372ad869-e96e-4e70-b389-459f5062ccf0' class='xr-var-data-in' type='checkbox'><label for='data-372ad869-e96e-4e70-b389-459f5062ccf0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0. ,   2.5],\n",
+       "       [  2.5,   5. ],\n",
+       "       [  5. ,   7.5],\n",
+       "       [  7.5,  10. ],\n",
+       "       [ 10. ,  12.5],\n",
+       "       [ 12.5,  15. ],\n",
+       "       [ 15. ,  17.5],\n",
+       "       [ 17.5,  20. ],\n",
+       "       [ 20. ,  22.5],\n",
+       "       [ 22.5,  25. ],\n",
+       "       [ 25. ,  27.5],\n",
+       "       [ 27.5,  30. ],\n",
+       "       [ 30. ,  32.5],\n",
+       "       [ 32.5,  35. ],\n",
+       "       [ 35. ,  37.5],\n",
+       "       [ 37.5,  40. ],\n",
+       "       [ 40. ,  42.5],\n",
+       "       [ 42.5,  45. ],\n",
+       "       [ 45. ,  47.5],\n",
+       "       [ 47.5,  50. ],\n",
+       "...\n",
+       "       [310. , 312.5],\n",
+       "       [312.5, 315. ],\n",
+       "       [315. , 317.5],\n",
+       "       [317.5, 320. ],\n",
+       "       [320. , 322.5],\n",
+       "       [322.5, 325. ],\n",
+       "       [325. , 327.5],\n",
+       "       [327.5, 330. ],\n",
+       "       [330. , 332.5],\n",
+       "       [332.5, 335. ],\n",
+       "       [335. , 337.5],\n",
+       "       [337.5, 340. ],\n",
+       "       [340. , 342.5],\n",
+       "       [342.5, 345. ],\n",
+       "       [345. , 347.5],\n",
+       "       [347.5, 350. ],\n",
+       "       [350. , 352.5],\n",
+       "       [352.5, 355. ],\n",
+       "       [355. , 357.5],\n",
+       "       [357.5, 360. ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>246.9 246.9 246.9 ... 259.4 259.4</div><input id='attrs-9edbc9c1-be8e-4b1f-ae54-a17c0fa46c68' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9edbc9c1-be8e-4b1f-ae54-a17c0fa46c68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec7011e1-4fff-4031-949d-d1af58fa3bbe' class='xr-var-data-in' type='checkbox'><label for='data-ec7011e1-4fff-4031-949d-d1af58fa3bbe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>history :</span></dt><dd>2026-05-30T17:19:54Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;.</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[246.86728, 246.86728, 246.86728, ..., 246.86728, 246.86728,\n",
+       "         246.86728],\n",
+       "        [248.9035 , 248.54457, 248.41835, ..., 249.81686, 249.28986,\n",
+       "         249.04837],\n",
+       "        [249.00377, 247.89893, 247.59648, ..., 250.52367, 250.40804,\n",
+       "         249.95767],\n",
        "        ...,\n",
-       "        [248.02966, 247.96913, 247.8499 , ..., 247.8499 , 247.96913,\n",
-       "         248.02966],\n",
-       "        [243.00682, 242.94627, 242.82704, ..., 242.82704, 242.94627,\n",
-       "         243.00682],\n",
-       "        [240.33421, 240.27368, 240.15443, ..., 240.15443, 240.27368,\n",
-       "         240.33421]],\n",
-       "\n",
-       "       [[244.33421, 244.27368, 244.15443, ..., 244.15443, 244.27368,\n",
-       "         244.33421],\n",
-       "        [247.00682, 246.94627, 246.82704, ..., 246.82704, 246.94627,\n",
-       "         247.00682],\n",
-       "        [252.02966, 251.96913, 251.8499 , ..., 251.8499 , 251.96913,\n",
-       "         252.02966],\n",
+       "        [244.49625, 244.8527 , 244.9202 , ..., 244.34276, 244.54477,\n",
+       "         244.54547],\n",
+       "        [243.83018, 243.76509, 243.94258, ..., 243.30023, 243.545  ,\n",
+       "         243.58965],\n",
+       "        [240.78905, 240.78905, 240.78905, ..., 240.78905, 240.78905,\n",
+       "         240.78905]],\n",
+       "\n",
+       "       [[237.30267, 237.30267, 237.30267, ..., 237.30267, 237.30267,\n",
+       "         237.30267],\n",
+       "        [242.50592, 242.29816, 242.0082 , ..., 243.48294, 243.1406 ,\n",
+       "         242.75697],\n",
+       "        [244.73744, 244.23917, 243.90952, ..., 245.81609, 245.63405,\n",
+       "         245.1311 ],\n",
        "...\n",
-       "        [252.02966, 251.96913, 251.8499 , ..., 251.8499 , 251.96913,\n",
-       "         252.02966],\n",
-       "        [247.00682, 246.94627, 246.82704, ..., 246.82704, 246.94627,\n",
-       "         247.00682],\n",
-       "        [244.33421, 244.27368, 244.15443, ..., 244.15443, 244.27368,\n",
-       "         244.33421]],\n",
-       "\n",
-       "       [[248.33421, 248.27368, 248.15443, ..., 248.15443, 248.27368,\n",
-       "         248.33421],\n",
-       "        [251.00682, 250.94627, 250.82704, ..., 250.82704, 250.94627,\n",
-       "         251.00682],\n",
-       "        [256.02966, 255.96913, 255.8499 , ..., 255.8499 , 255.96913,\n",
-       "         256.02966],\n",
+       "        [265.2184 , 265.34525, 265.6025 , ..., 264.83234, 265.33496,\n",
+       "         265.30453],\n",
+       "        [265.6052 , 265.6468 , 265.736  , ..., 265.61053, 265.53055,\n",
+       "         265.7236 ],\n",
+       "        [265.90643, 265.90643, 265.90643, ..., 265.90643, 265.90643,\n",
+       "         265.90643]],\n",
+       "\n",
+       "       [[212.96765, 212.96765, 212.96765, ..., 212.96765, 212.96765,\n",
+       "         212.96765],\n",
+       "        [227.39067, 227.45868, 225.59088, ..., 228.0285 , 227.92722,\n",
+       "         227.8851 ],\n",
+       "        [228.12408, 227.8222 , 227.45256, ..., 229.52286, 229.08876,\n",
+       "         228.57202],\n",
        "        ...,\n",
-       "        [256.02966, 255.96913, 255.8499 , ..., 255.8499 , 255.96913,\n",
-       "         256.02966],\n",
-       "        [251.00682, 250.94627, 250.82704, ..., 250.82704, 250.94627,\n",
-       "         251.00682],\n",
-       "        [248.33421, 248.27368, 248.15443, ..., 248.15443, 248.27368,\n",
-       "         248.33421]]], shape=(3, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4f330a6f-ae6d-4a42-8369-ae5606428d0d' class='xr-section-summary-in' type='checkbox' checked /><label for='section-4f330a6f-ae6d-4a42-8369-ae5606428d0d' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>tas_tavg-h2m-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-h2m-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-30T00:14:08Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-30T00:14:08Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/ce506b60-0ff6-4aee-aa8b-6e9a4130f68f</dd><dt><span>variable_id :</span></dt><dd>tas</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>h2m</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+       "        [263.1174 , 262.69617, 263.16614, ..., 262.4634 , 262.9137 ,\n",
+       "         262.76703],\n",
+       "        [260.8171 , 261.04578, 261.01935, ..., 261.011  , 260.5789 ,\n",
+       "         260.7901 ],\n",
+       "        [259.38904, 259.38904, 259.38904, ..., 259.38904, 259.38904,\n",
+       "         259.38904]]], shape=(10, 90, 144), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-694bd666-68b7-43c6-adb2-12ee7d5065c1' class='xr-section-summary-in' type='checkbox' checked /><label for='section-694bd666-68b7-43c6-adb2-12ee7d5065c1' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>tas_tavg-h2m-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-h2m-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-30T17:19:54Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-30T17:19:54Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/5be8cd5e-35d7-4868-bcd3-e2a00208407b</dd><dt><span>variable_id :</span></dt><dd>tas</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>h2m</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
-       "<xarray.Dataset> Size: 9kB\n",
-       "Dimensions:    (time: 3, bnds: 2, lat: 18, lon: 36)\n",
+       "<xarray.Dataset> Size: 524kB\n",
+       "Dimensions:    (time: 10, bnds: 2, lat: 90, lon: 144)\n",
        "Coordinates:\n",
-       "  * time       (time) float64 24B 15.0 45.0 75.0\n",
-       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
-       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
+       "  * time       (time) float64 80B 15.5 45.0 74.5 105.0 ... 227.5 258.0 288.5\n",
+       "  * lat        (lat) float64 720B -89.0 -87.0 -85.0 -83.0 ... 85.0 87.0 89.0\n",
+       "  * lon        (lon) float64 1kB 1.25 3.75 6.25 8.75 ... 351.2 353.8 356.2 358.8\n",
        "    height     float64 8B 2.0\n",
        "Dimensions without coordinates: bnds\n",
        "Data variables:\n",
-       "    time_bnds  (time, bnds) float64 48B 0.0 30.0 30.0 60.0 60.0 90.0\n",
-       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
-       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
-       "    tas        (time, lat, lon) float32 8kB 240.3 240.3 240.2 ... 248.3 248.3\n",
+       "    time_bnds  (time, bnds) float64 160B 0.0 31.0 31.0 ... 273.0 273.0 304.0\n",
+       "    lat_bnds   (lat, bnds) float64 1kB -90.0 -88.0 -88.0 ... 88.0 88.0 90.0\n",
+       "    lon_bnds   (lon, bnds) float64 2kB 0.0 2.5 2.5 5.0 ... 357.5 357.5 360.0\n",
+       "    tas        (time, lat, lon) float32 518kB 246.9 246.9 246.9 ... 259.4 259.4\n",
        "Attributes:\n",
        "    Conventions:           CF-1.12\n",
        "    activity_id:           CMIP\n",
        "    area_label:            u\n",
        "    branded_variable:      tas_tavg-h2m-hxy-u\n",
        "    branding_suffix:       tavg-h2m-hxy-u\n",
-       "    creation_date:         2026-05-30T00:14:08Z\n",
+       "    creation_date:         2026-05-30T17:19:54Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -913,7 +1783,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-30T00:14:08Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-05-30T17:19:54Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -932,7 +1802,7 @@
        "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/ce506b60-0ff6-4aee-aa8b-6e9a4130f68f\n",
+       "    tracking_id:           hdl:21.14107/5be8cd5e-35d7-4868-bcd3-e2a00208407b\n",
        "    variable_id:           tas\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        h2m\n",
@@ -960,19 +1830,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T00:14:08.282396Z",
-     "iopub.status.busy": "2026-05-30T00:14:08.282265Z",
-     "iopub.status.idle": "2026-05-30T00:14:08.415301Z",
-     "shell.execute_reply": "2026-05-30T00:14:08.414813Z"
+     "iopub.execute_input": "2026-05-30T17:19:54.580763Z",
+     "iopub.status.busy": "2026-05-30T17:19:54.580641Z",
+     "iopub.status.idle": "2026-05-30T17:19:54.753016Z",
+     "shell.execute_reply": "2026-05-30T17:19:54.752584Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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       "text/plain": [
        "<Figure size 1100x540 with 2 Axes>"
       ]
diff --git a/notebooks/data/tas_Amon_GISS-E2-H_historical_r1i1p2_195101-195110.nc b/notebooks/data/tas_Amon_GISS-E2-H_historical_r1i1p2_195101-195110.nc
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HcmV?d00001


From 30b2d8dff06528c1eb9119ce19d00c64db4107d5 Mon Sep 17 00:00:00 2001
From: Chris Mauzey <mauzey1@llnl.gov>
Date: Sat, 30 May 2026 12:02:08 -0700
Subject: [PATCH 20/25] Use real model data for example 3

---
 .../03_pressure_level_air_temperature.ipynb   | 1247 ++++++++++++++---
 ...-0_historical_r1i1p1f1_gr_187001-187002.nc |  Bin 0 -> 6630718 bytes
 2 files changed, 1063 insertions(+), 184 deletions(-)
 create mode 100644 notebooks/data/ta_Amon_E3SM-3-0_historical_r1i1p1f1_gr_187001-187002.nc

diff --git a/notebooks/03_pressure_level_air_temperature.ipynb b/notebooks/03_pressure_level_air_temperature.ipynb
index 1d6a7721..a3a717be 100644
--- a/notebooks/03_pressure_level_air_temperature.ipynb
+++ b/notebooks/03_pressure_level_air_temperature.ipynb
@@ -14,10 +14,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T00:14:09.326076Z",
-     "iopub.status.busy": "2026-05-30T00:14:09.325995Z",
-     "iopub.status.idle": "2026-05-30T00:14:09.817766Z",
-     "shell.execute_reply": "2026-05-30T00:14:09.817252Z"
+     "iopub.execute_input": "2026-05-30T19:00:06.115780Z",
+     "iopub.status.busy": "2026-05-30T19:00:06.115608Z",
+     "iopub.status.idle": "2026-05-30T19:00:07.032842Z",
+     "shell.execute_reply": "2026-05-30T19:00:07.032434Z"
     }
    },
    "outputs": [
@@ -43,10 +43,13 @@
     "\n",
     "TABLES_DIR = \"../cmip7-cmor-tables/tables\"\n",
     "CV_PATH = \"../cmip7-cmor-tables/tables-cvs/cmor-cvs.json\"\n",
+    "DATA_PATH = Path(\"data\") / \"ta_Amon_E3SM-3-0_historical_r1i1p1f1_gr_187001-187002.nc\"\n",
     "if not Path(TABLES_DIR).exists():\n",
     "    raise FileNotFoundError(f\"CMIP7 tables directory not found: {TABLES_DIR}\")\n",
     "if not Path(CV_PATH).exists():\n",
     "    raise FileNotFoundError(f\"CMIP7 CV file not found: {CV_PATH}\")\n",
+    "if not DATA_PATH.exists():\n",
+    "    raise FileNotFoundError(f\"Source data file not found: {DATA_PATH}\")\n",
     "\n",
     "print(f\"Using CMIP7 tables from {TABLES_DIR}\")\n"
    ]
@@ -56,10 +59,868 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T00:14:09.819308Z",
-     "iopub.status.busy": "2026-05-30T00:14:09.819122Z",
-     "iopub.status.idle": "2026-05-30T00:14:09.827489Z",
-     "shell.execute_reply": "2026-05-30T00:14:09.827091Z"
+     "iopub.execute_input": "2026-05-30T19:00:07.048983Z",
+     "iopub.status.busy": "2026-05-30T19:00:07.048797Z",
+     "iopub.status.idle": "2026-05-30T19:00:07.213550Z",
+     "shell.execute_reply": "2026-05-30T19:00:07.213140Z"
+    }
+   },
+   "outputs": [
+    {
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+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "  line-height: 1.6;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "  margin-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-obj-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-group-box-contents > label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "  margin-block-start: 0;\n",
+       "  margin-block-end: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input,\n",
+       ".xr-group-box-contents > input,\n",
+       ".xr-array-wrap > input {\n",
+       "  display: block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input + label,\n",
+       ".xr-var-item > input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label,\n",
+       ".xr-var-item > input:enabled + label,\n",
+       ".xr-array-wrap > input:enabled + label,\n",
+       ".xr-group-box-contents > input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:focus-visible + label,\n",
+       ".xr-var-item > input:focus-visible + label,\n",
+       ".xr-array-wrap > input:focus-visible + label,\n",
+       ".xr-group-box-contents > input:focus-visible + label {\n",
+       "  outline: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label:hover,\n",
+       ".xr-var-item > input:enabled + label:hover,\n",
+       ".xr-array-wrap > input:enabled + label:hover,\n",
+       ".xr-group-box-contents > input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "  white-space: nowrap;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > em {\n",
+       "  font-weight: normal;\n",
+       "}\n",
+       "\n",
+       ".xr-span-grid {\n",
+       "  grid-column-end: -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.6em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details,\n",
+       ".xr-group-box-contents > label {\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-top: 4px;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in ~ .xr-section-details {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-children {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 100%;\n",
+       "  grid-column: 1 / -1;\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 0px 30px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-vline {\n",
+       "  grid-column-start: 1;\n",
+       "  border-right: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "  width: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-hline {\n",
+       "  grid-column-start: 2;\n",
+       "  grid-row-start: 1;\n",
+       "  height: 1em;\n",
+       "  width: 26px;\n",
+       "  border-bottom: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents {\n",
+       "  grid-column-start: 3;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > label::before {\n",
+       "  content: \"📂\";\n",
+       "  padding-right: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label::before {\n",
+       "  content: \"📁\";\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label {\n",
+       "  padding-bottom: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-ellipsis {\n",
+       "  font-size: 1.4em;\n",
+       "  font-weight: 900;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  letter-spacing: 0.15em;\n",
+       "  cursor: default;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 10MB\n",
+       "Dimensions:    (time: 2, bnds: 2, lat: 180, lon: 360, plev: 19)\n",
+       "Coordinates:\n",
+       "  * time       (time) float64 16B 7.316e+03 7.345e+03\n",
+       "  * lat        (lat) float64 1kB -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
+       "  * lon        (lon) float64 3kB 0.5 1.5 2.5 3.5 4.5 ... 356.5 357.5 358.5 359.5\n",
+       "  * plev       (plev) float64 152B 1e+05 9.25e+04 8.5e+04 ... 1e+03 500.0 100.0\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) float64 32B 7.3e+03 7.331e+03 7.331e+03 7.359e+03\n",
+       "    lat_bnds   (lat, bnds) float64 3kB -90.0 -89.0 -89.0 ... 89.0 89.0 90.0\n",
+       "    lon_bnds   (lon, bnds) float64 6kB 0.0 1.0 1.0 2.0 ... 359.0 359.0 360.0\n",
+       "    ta         (time, plev, lat, lon) float32 10MB nan nan nan ... 269.4 269.4\n",
+       "Attributes:\n",
+       "    Conventions:            CF-1.7 CMIP-6.2\n",
+       "    activity_id:            CMIP\n",
+       "    branch_method:          standard\n",
+       "    branch_time_in_child:   0.0\n",
+       "    branch_time_in_parent:  18250.0\n",
+       "    creation_date:          2025-08-10T17:00:06Z\n",
+       "    data contact:           E3SM-DATA-SUPPORT@LLNL.GOV\n",
+       "    data_specs_version:     01.00.33\n",
+       "    experiment:             all-forcing simulation of the recent past\n",
+       "    experiment_id:          historical\n",
+       "    external_variables:     areacella\n",
+       "    forcing_index:          1\n",
+       "    frequency:              mon\n",
+       "    further_info_url:       https://furtherinfo.es-doc.org/CMIP6.E3SM-Project...\n",
+       "    grid:                   data regridded to a CMIP6 standard 1x1 degree lon...\n",
+       "    grid_label:             gr\n",
+       "    history:                2025-08-10T17:00:06Z ;rewrote data to be consiste...\n",
+       "    initialization_index:   1\n",
+       "    institution:            LLNL (Lawrence Livermore National Laboratory, Liv...\n",
+       "    institution_id:         E3SM-Project\n",
+       "    label:                  E3SM 3.0\n",
+       "    label_extended:         E3SM 3.0 (Energy Exascale Earth System Model)\n",
+       "    mip_era:                CMIP6\n",
+       "    nominal_resolution:     100 km\n",
+       "    parent_activity_id:     CMIP\n",
+       "    parent_experiment_id:   piControl\n",
+       "    parent_mip_era:         CMIP6\n",
+       "    parent_source_id:       E3SM-3-0\n",
+       "    parent_time_units:      days since 0001-01-01\n",
+       "    parent_variant_label:   r1i1p1f1\n",
+       "    physics_index:          1\n",
+       "    product:                model-output\n",
+       "    project PI:             Dr. Peter Caldwell (caldwell19@llnl.gov), Dr. Dav...\n",
+       "    realization_index:      1\n",
+       "    realm:                  atmos\n",
+       "    references:             Xie, S., and co-authors, 2025: The Energy Exascal...\n",
+       "    release_year:           2024\n",
+       "    source:                 E3SM 3.0 (2025): \\naerosol: MAM5 w/ prognostic st...\n",
+       "    source_id:              E3SM-3-0\n",
+       "    source_type:            AOGCM AER\n",
+       "    sub_experiment:         none\n",
+       "    sub_experiment_id:      none\n",
+       "    table_id:               Amon\n",
+       "    table_info:             Creation Date:(18 November 2020) MD5:4945869d85ef...\n",
+       "    title:                  E3SM-3-0 output prepared for CMIP6\n",
+       "    tracking_id:            hdl:21.14100/e908eefe-4329-4f97-9de6-8b2dd3a78be0\n",
+       "    variable_id:            ta\n",
+       "    variant_label:          r1i1p1f1\n",
+       "    version:                v20250810\n",
+       "    license:                CMIP6 model data produced by E3SM-Project is lice...\n",
+       "    cmor_version:           3.11.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-acf25fc1-76b7-4ca7-80ef-fb9586e1e759' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-acf25fc1-76b7-4ca7-80ef-fb9586e1e759' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 180</li><li><span class='xr-has-index'>lon</span>: 360</li><li><span class='xr-has-index'>plev</span>: 19</li></ul></div></li><li class='xr-section-item'><input id='section-766ea4a1-d0dc-4bb6-8251-65980ab43ec5' class='xr-section-summary-in' type='checkbox' checked /><label for='section-766ea4a1-d0dc-4bb6-8251-65980ab43ec5' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.316e+03 7.345e+03</div><input id='attrs-b35eaee1-c300-4858-b997-e4df07909ab1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b35eaee1-c300-4858-b997-e4df07909ab1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5894a83-09ca-492f-a019-b33366106416' class='xr-var-data-in' type='checkbox'><label for='data-a5894a83-09ca-492f-a019-b33366106416' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-01-01 00:00:00</dd><dt><span>calendar :</span></dt><dd>noleap</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([7315.5, 7345. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.5 -88.5 -87.5 ... 88.5 89.5</div><input id='attrs-88daab48-919f-431a-98fa-866b15c8dcfc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88daab48-919f-431a-98fa-866b15c8dcfc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a37f156d-56a5-448b-8215-9487f3d584c1' class='xr-var-data-in' type='checkbox'><label for='data-a37f156d-56a5-448b-8215-9487f3d584c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
+       "       -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,\n",
+       "       -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5,\n",
+       "       -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5,\n",
+       "       -49.5, -48.5, -47.5, -46.5, -45.5, -44.5, -43.5, -42.5, -41.5, -40.5,\n",
+       "       -39.5, -38.5, -37.5, -36.5, -35.5, -34.5, -33.5, -32.5, -31.5, -30.5,\n",
+       "       -29.5, -28.5, -27.5, -26.5, -25.5, -24.5, -23.5, -22.5, -21.5, -20.5,\n",
+       "       -19.5, -18.5, -17.5, -16.5, -15.5, -14.5, -13.5, -12.5, -11.5, -10.5,\n",
+       "        -9.5,  -8.5,  -7.5,  -6.5,  -5.5,  -4.5,  -3.5,  -2.5,  -1.5,  -0.5,\n",
+       "         0.5,   1.5,   2.5,   3.5,   4.5,   5.5,   6.5,   7.5,   8.5,   9.5,\n",
+       "        10.5,  11.5,  12.5,  13.5,  14.5,  15.5,  16.5,  17.5,  18.5,  19.5,\n",
+       "        20.5,  21.5,  22.5,  23.5,  24.5,  25.5,  26.5,  27.5,  28.5,  29.5,\n",
+       "        30.5,  31.5,  32.5,  33.5,  34.5,  35.5,  36.5,  37.5,  38.5,  39.5,\n",
+       "        40.5,  41.5,  42.5,  43.5,  44.5,  45.5,  46.5,  47.5,  48.5,  49.5,\n",
+       "        50.5,  51.5,  52.5,  53.5,  54.5,  55.5,  56.5,  57.5,  58.5,  59.5,\n",
+       "        60.5,  61.5,  62.5,  63.5,  64.5,  65.5,  66.5,  67.5,  68.5,  69.5,\n",
+       "        70.5,  71.5,  72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,\n",
+       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5 1.5 2.5 ... 357.5 358.5 359.5</div><input id='attrs-23aa82c5-0a6f-4bdd-803a-5d2fa8ebfe72' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23aa82c5-0a6f-4bdd-803a-5d2fa8ebfe72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-195b6bb7-71a8-4a4c-a516-ed456b4a6f6b' class='xr-var-data-in' type='checkbox'><label for='data-195b6bb7-71a8-4a4c-a516-ed456b4a6f6b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.5,   1.5,   2.5, ..., 357.5, 358.5, 359.5], shape=(360,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>plev</span></div><div class='xr-var-dims'>(plev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05 9.25e+04 ... 500.0 100.0</div><input id='attrs-b9722f16-583f-4428-95a7-3f60999851e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9722f16-583f-4428-95a7-3f60999851e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d96c1fa1-99e4-41bc-b873-312a37cecbda' class='xr-var-data-in' type='checkbox'><label for='data-d96c1fa1-99e4-41bc-b873-312a37cecbda' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>pressure</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd></dl></div><div class='xr-var-data'><pre>array([100000.,  92500.,  85000.,  70000.,  60000.,  50000.,  40000.,  30000.,\n",
+       "        25000.,  20000.,  15000.,  10000.,   7000.,   5000.,   3000.,   2000.,\n",
+       "         1000.,    500.,    100.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bec07e4c-8fec-41db-a0b0-a9ff636c3b35' class='xr-section-summary-in' type='checkbox' checked /><label for='section-bec07e4c-8fec-41db-a0b0-a9ff636c3b35' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.3e+03 7.331e+03 ... 7.359e+03</div><input id='attrs-20bec393-9fc6-49af-bee2-06579ad72ed7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-20bec393-9fc6-49af-bee2-06579ad72ed7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-111879e1-b6c0-4801-946e-112eccc1f9a0' class='xr-var-data-in' type='checkbox'><label for='data-111879e1-b6c0-4801-946e-112eccc1f9a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[7300., 7331.],\n",
+       "       [7331., 7359.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -89.0 -89.0 ... 89.0 90.0</div><input id='attrs-873ad06a-1833-4f6e-aa9f-7224c77736c1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-873ad06a-1833-4f6e-aa9f-7224c77736c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73371df3-7daf-483f-a1c1-b275f9b69afe' class='xr-var-data-in' type='checkbox'><label for='data-73371df3-7daf-483f-a1c1-b275f9b69afe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -89.],\n",
+       "       [-89., -88.],\n",
+       "       [-88., -87.],\n",
+       "       [-87., -86.],\n",
+       "       [-86., -85.],\n",
+       "       [-85., -84.],\n",
+       "       [-84., -83.],\n",
+       "       [-83., -82.],\n",
+       "       [-82., -81.],\n",
+       "       [-81., -80.],\n",
+       "       [-80., -79.],\n",
+       "       [-79., -78.],\n",
+       "       [-78., -77.],\n",
+       "       [-77., -76.],\n",
+       "       [-76., -75.],\n",
+       "       [-75., -74.],\n",
+       "       [-74., -73.],\n",
+       "       [-73., -72.],\n",
+       "       [-72., -71.],\n",
+       "       [-71., -70.],\n",
+       "...\n",
+       "       [ 70.,  71.],\n",
+       "       [ 71.,  72.],\n",
+       "       [ 72.,  73.],\n",
+       "       [ 73.,  74.],\n",
+       "       [ 74.,  75.],\n",
+       "       [ 75.,  76.],\n",
+       "       [ 76.,  77.],\n",
+       "       [ 77.,  78.],\n",
+       "       [ 78.,  79.],\n",
+       "       [ 79.,  80.],\n",
+       "       [ 80.,  81.],\n",
+       "       [ 81.,  82.],\n",
+       "       [ 82.,  83.],\n",
+       "       [ 83.,  84.],\n",
+       "       [ 84.,  85.],\n",
+       "       [ 85.,  86.],\n",
+       "       [ 86.,  87.],\n",
+       "       [ 87.,  88.],\n",
+       "       [ 88.,  89.],\n",
+       "       [ 89.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 1.0 ... 359.0 359.0 360.0</div><input id='attrs-9965966f-64f5-434e-9cfb-45c00519e697' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9965966f-64f5-434e-9cfb-45c00519e697' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b974106b-7057-438f-9768-b042ff93f9d4' class='xr-var-data-in' type='checkbox'><label for='data-b974106b-7057-438f-9768-b042ff93f9d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,   1.],\n",
+       "       [  1.,   2.],\n",
+       "       [  2.,   3.],\n",
+       "       [  3.,   4.],\n",
+       "       [  4.,   5.],\n",
+       "       [  5.,   6.],\n",
+       "       [  6.,   7.],\n",
+       "       [  7.,   8.],\n",
+       "       [  8.,   9.],\n",
+       "       [  9.,  10.],\n",
+       "       [ 10.,  11.],\n",
+       "       [ 11.,  12.],\n",
+       "       [ 12.,  13.],\n",
+       "       [ 13.,  14.],\n",
+       "       [ 14.,  15.],\n",
+       "       [ 15.,  16.],\n",
+       "       [ 16.,  17.],\n",
+       "       [ 17.,  18.],\n",
+       "       [ 18.,  19.],\n",
+       "       [ 19.,  20.],\n",
+       "...\n",
+       "       [340., 341.],\n",
+       "       [341., 342.],\n",
+       "       [342., 343.],\n",
+       "       [343., 344.],\n",
+       "       [344., 345.],\n",
+       "       [345., 346.],\n",
+       "       [346., 347.],\n",
+       "       [347., 348.],\n",
+       "       [348., 349.],\n",
+       "       [349., 350.],\n",
+       "       [350., 351.],\n",
+       "       [351., 352.],\n",
+       "       [352., 353.],\n",
+       "       [353., 354.],\n",
+       "       [354., 355.],\n",
+       "       [355., 356.],\n",
+       "       [356., 357.],\n",
+       "       [357., 358.],\n",
+       "       [358., 359.],\n",
+       "       [359., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, plev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 269.4 269.4 269.4</div><input id='attrs-b57e34ce-d9dd-46b3-a4b0-9f0ebd12aaab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b57e34ce-d9dd-46b3-a4b0-9f0ebd12aaab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ffbb9e2-0d60-472b-a09e-35f60636a8a5' class='xr-var-data-in' type='checkbox'><label for='data-2ffbb9e2-0d60-472b-a09e-35f60636a8a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Air Temperature</dd><dt><span>comment :</span></dt><dd>Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         ...,\n",
+       "         [248.62799, 248.62799, 248.62799, ..., 247.47401, 247.47401,\n",
+       "          247.47401],\n",
+       "         [248.55006, 248.54996, 248.54979, ..., 247.536  , 247.53587,\n",
+       "          247.53581],\n",
+       "         [248.4412 , 248.4412 , 248.4412 , ..., 247.61282, 247.61282,\n",
+       "          247.61282]],\n",
+       "\n",
+       "        [[      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "...\n",
+       "         [230.53004, 230.53004, 230.53004, ..., 230.00777, 230.00777,\n",
+       "          230.00777],\n",
+       "         [230.58401, 230.58408, 230.58418, ..., 230.0691 , 230.06897,\n",
+       "          230.06891],\n",
+       "         [230.65952, 230.65952, 230.65952, ..., 230.15445, 230.15445,\n",
+       "          230.15445]],\n",
+       "\n",
+       "        [[269.41315, 269.41315, 269.41315, ..., 269.38086, 269.38086,\n",
+       "          269.38086],\n",
+       "         [269.2813 , 269.2814 , 269.28162, ..., 269.21027, 269.21   ,\n",
+       "          269.20984],\n",
+       "         [269.18707, 269.18707, 269.18707, ..., 269.08765, 269.08765,\n",
+       "          269.08765],\n",
+       "         ...,\n",
+       "         [271.54065, 271.54065, 271.54065, ..., 270.91687, 270.91687,\n",
+       "          270.91687],\n",
+       "         [270.9006 , 270.89993, 270.89853, ..., 270.28284, 270.2842 ,\n",
+       "          270.2849 ],\n",
+       "         [270.00507, 270.00507, 270.00507, ..., 269.40063, 269.40063,\n",
+       "          269.40063]]]], shape=(2, 19, 180, 360), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6cb5b60c-1ccb-4633-811f-44d1b284eaad' class='xr-section-summary-in' type='checkbox' checked /><label for='section-6cb5b60c-1ccb-4633-811f-44d1b284eaad' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(51)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>branch_method :</span></dt><dd>standard</dd><dt><span>branch_time_in_child :</span></dt><dd>0.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>18250.0</dd><dt><span>creation_date :</span></dt><dd>2025-08-10T17:00:06Z</dd><dt><span>data contact :</span></dt><dd>E3SM-DATA-SUPPORT@LLNL.GOV</dd><dt><span>data_specs_version :</span></dt><dd>01.00.33</dd><dt><span>experiment :</span></dt><dd>all-forcing simulation of the recent past</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.E3SM-Project.E3SM-3-0.historical.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>data regridded to a CMIP6 standard 1x1 degree lonxlat grid from the native grid using an area-average preserving method.</dd><dt><span>grid_label :</span></dt><dd>gr</dd><dt><span>history :</span></dt><dd>2025-08-10T17:00:06Z ;rewrote data to be consistent with CMIP for variable ta found in table Amon.;\n",
+       "v3.LR.historical_0051</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>LLNL (Lawrence Livermore National Laboratory, Livermore, CA 94550, USA); ANL (Argonne National Laboratory, Argonne, IL 60439, USA); BNL (Brookhaven National Laboratory, Upton, NY 11973, USA); LANL (Los Alamos National Laboratory, Los Alamos, NM 87545, USA); LBNL (Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA); ORNL (Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA); PNNL (Pacific Northwest National Laboratory, Richland, WA 99352, USA); SNL (Sandia National Laboratories, Albuquerque, NM 87185, USA). Mailing address: LLNL Climate Program, c/o David C. Bader, Principal Investigator, L-103, 7000 East Avenue, Livermore, CA 94550, USA</dd><dt><span>institution_id :</span></dt><dd>E3SM-Project</dd><dt><span>label :</span></dt><dd>E3SM 3.0</dd><dt><span>label_extended :</span></dt><dd>E3SM 3.0 (Energy Exascale Earth System Model)</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>parent_activity_id :</span></dt><dd>CMIP</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_source_id :</span></dt><dd>E3SM-3-0</dd><dt><span>parent_time_units :</span></dt><dd>days since 0001-01-01</dd><dt><span>parent_variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>project PI :</span></dt><dd>Dr. Peter Caldwell (caldwell19@llnl.gov), Dr. Dave Bader (PI until Feb 2025)</dd><dt><span>realization_index :</span></dt><dd>1</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>references :</span></dt><dd>Xie, S., and co-authors, 2025: The Energy Exascale Earth System Model Version 3. Part I: Overview of the Atmospheric Component. ESS Open Archive. April 13, 2025. in review with JAMES; Golaz, J.-C. and co-authors, 2025: The Energy Exascale Earth System Model version 3. Part II: Overview of the coupled system. JAMES, in review concurrent to data publication</dd><dt><span>release_year :</span></dt><dd>2024</dd><dt><span>source :</span></dt><dd>E3SM 3.0 (2025): \n",
+       "aerosol: MAM5 w/ prognostic stratospheric aerosols (atmos physics grid)\n",
+       "atmos: EAM (E3SMv3.0, cubed sphere spectral-element; 5400 els., 30x30 per cube face. Dynamics: degree 3 (p=3) polynomials within each spectral els., 112 km ave. resolution. Physics: 2x2 finite volume cells within each spectral els., 1.5 degree (168 km) average grid spacing; 80 vertical layers w/ top at 60 km)\n",
+       "atmosChem: Troposphere UC Irvine interactive chemistry module. Stratosphere linearized interactive ozone (LINOZ v3) (atmos physics grid)\n",
+       "land: ELM (E3SMv3.0, 0.5 deg lat/lon grid, dynamic vegetation growth model), MOSART (E3SMv3.0, 0.5 deg lat/lon grid)\n",
+       "landIce: none\n",
+       "ocean: MPAS-Ocean (E3SMv3.0, new IcoswISC30E3r5 mesh, nearly uniform 30 km mesh w/ Ice-Shelf Cavities (wISC) around Antarctica and has 64 vertical layers.)\n",
+       "ocnBgchem: none\n",
+       "seaIce: MPAS-Seaice (E3SMv3.0, MPAS-Ocean grid; the CICE Consortium&#x27;s Icepack as the default sea ice column physics)</dd><dt><span>source_id :</span></dt><dd>E3SM-3-0</dd><dt><span>source_type :</span></dt><dd>AOGCM AER</dd><dt><span>sub_experiment :</span></dt><dd>none</dd><dt><span>sub_experiment_id :</span></dt><dd>none</dd><dt><span>table_id :</span></dt><dd>Amon</dd><dt><span>table_info :</span></dt><dd>Creation Date:(18 November 2020) MD5:4945869d85ef80414f20dc7dc0e4c705</dd><dt><span>title :</span></dt><dd>E3SM-3-0 output prepared for CMIP6</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14100/e908eefe-4329-4f97-9de6-8b2dd3a78be0</dd><dt><span>variable_id :</span></dt><dd>ta</dd><dt><span>variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>version :</span></dt><dd>v20250810</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by E3SM-Project is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file) and at https://pcmdi.llnl.gov/. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.11.0</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 10MB\n",
+       "Dimensions:    (time: 2, bnds: 2, lat: 180, lon: 360, plev: 19)\n",
+       "Coordinates:\n",
+       "  * time       (time) float64 16B 7.316e+03 7.345e+03\n",
+       "  * lat        (lat) float64 1kB -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
+       "  * lon        (lon) float64 3kB 0.5 1.5 2.5 3.5 4.5 ... 356.5 357.5 358.5 359.5\n",
+       "  * plev       (plev) float64 152B 1e+05 9.25e+04 8.5e+04 ... 1e+03 500.0 100.0\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) float64 32B 7.3e+03 7.331e+03 7.331e+03 7.359e+03\n",
+       "    lat_bnds   (lat, bnds) float64 3kB -90.0 -89.0 -89.0 ... 89.0 89.0 90.0\n",
+       "    lon_bnds   (lon, bnds) float64 6kB 0.0 1.0 1.0 2.0 ... 359.0 359.0 360.0\n",
+       "    ta         (time, plev, lat, lon) float32 10MB nan nan nan ... 269.4 269.4\n",
+       "Attributes:\n",
+       "    Conventions:            CF-1.7 CMIP-6.2\n",
+       "    activity_id:            CMIP\n",
+       "    branch_method:          standard\n",
+       "    branch_time_in_child:   0.0\n",
+       "    branch_time_in_parent:  18250.0\n",
+       "    creation_date:          2025-08-10T17:00:06Z\n",
+       "    data contact:           E3SM-DATA-SUPPORT@LLNL.GOV\n",
+       "    data_specs_version:     01.00.33\n",
+       "    experiment:             all-forcing simulation of the recent past\n",
+       "    experiment_id:          historical\n",
+       "    external_variables:     areacella\n",
+       "    forcing_index:          1\n",
+       "    frequency:              mon\n",
+       "    further_info_url:       https://furtherinfo.es-doc.org/CMIP6.E3SM-Project...\n",
+       "    grid:                   data regridded to a CMIP6 standard 1x1 degree lon...\n",
+       "    grid_label:             gr\n",
+       "    history:                2025-08-10T17:00:06Z ;rewrote data to be consiste...\n",
+       "    initialization_index:   1\n",
+       "    institution:            LLNL (Lawrence Livermore National Laboratory, Liv...\n",
+       "    institution_id:         E3SM-Project\n",
+       "    label:                  E3SM 3.0\n",
+       "    label_extended:         E3SM 3.0 (Energy Exascale Earth System Model)\n",
+       "    mip_era:                CMIP6\n",
+       "    nominal_resolution:     100 km\n",
+       "    parent_activity_id:     CMIP\n",
+       "    parent_experiment_id:   piControl\n",
+       "    parent_mip_era:         CMIP6\n",
+       "    parent_source_id:       E3SM-3-0\n",
+       "    parent_time_units:      days since 0001-01-01\n",
+       "    parent_variant_label:   r1i1p1f1\n",
+       "    physics_index:          1\n",
+       "    product:                model-output\n",
+       "    project PI:             Dr. Peter Caldwell (caldwell19@llnl.gov), Dr. Dav...\n",
+       "    realization_index:      1\n",
+       "    realm:                  atmos\n",
+       "    references:             Xie, S., and co-authors, 2025: The Energy Exascal...\n",
+       "    release_year:           2024\n",
+       "    source:                 E3SM 3.0 (2025): \\naerosol: MAM5 w/ prognostic st...\n",
+       "    source_id:              E3SM-3-0\n",
+       "    source_type:            AOGCM AER\n",
+       "    sub_experiment:         none\n",
+       "    sub_experiment_id:      none\n",
+       "    table_id:               Amon\n",
+       "    table_info:             Creation Date:(18 November 2020) MD5:4945869d85ef...\n",
+       "    title:                  E3SM-3-0 output prepared for CMIP6\n",
+       "    tracking_id:            hdl:21.14100/e908eefe-4329-4f97-9de6-8b2dd3a78be0\n",
+       "    variable_id:            ta\n",
+       "    variant_label:          r1i1p1f1\n",
+       "    version:                v20250810\n",
+       "    license:                CMIP6 model data produced by E3SM-Project is lice...\n",
+       "    cmor_version:           3.11.0"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "with xr.open_dataset(DATA_PATH, decode_times=False) as opened:\n",
+    "    source = opened.load()\n",
+    "\n",
+    "with xr.set_options(\n",
+    "    display_style=\"html\",\n",
+    "    display_expand_attrs=True,\n",
+    "    display_expand_coords=True,\n",
+    "    display_expand_data_vars=True,\n",
+    "    display_max_rows=80,\n",
+    "):\n",
+    "    display(source)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-30T19:00:07.214930Z",
+     "iopub.status.busy": "2026-05-30T19:00:07.214834Z",
+     "iopub.status.idle": "2026-05-30T19:00:07.223655Z",
+     "shell.execute_reply": "2026-05-30T19:00:07.223131Z"
     }
    },
    "outputs": [
@@ -67,7 +928,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "(2, 19, 18, 36)\n"
+      "(2, 19, 180, 360)\n"
      ]
     }
    ],
@@ -84,7 +945,7 @@
     "    \"_cmip7_option\": 1,\n",
     "    \"_controlled_vocabulary_file\": CV_PATH,\n",
     "    \"activity_id\": \"CMIP\",\n",
-    "    \"calendar\": \"360_day\",\n",
+    "    \"calendar\": source[\"time\"].attrs.get(\"calendar\", \"standard\"),\n",
     "    \"experiment_id\": \"amip\",\n",
     "    \"forcing_index\": \"f3\",\n",
     "    \"frequency\": \"mon\",\n",
@@ -103,56 +964,32 @@
     "input_json = run_dir / \"input.json\"\n",
     "input_json.write_text(json.dumps(DATASET_INFO, indent=2, sort_keys=True))\n",
     "\n",
-    "lat = np.arange(-85.0, 90.0, 10.0)\n",
-    "lat_bnds = np.arange(-90.0, 91.0, 10.0)\n",
-    "lon = np.arange(5.0, 360.0, 10.0)\n",
-    "lon_bnds = np.arange(0.0, 361.0, 10.0)\n",
-    "time = 15.0 + 30.0 * np.arange(2, dtype=\"f8\")\n",
-    "time_bnds = 30.0 * np.arange(3, dtype=\"f8\")\n",
-    "time_units = \"days since 2018-01-01\"\n",
-    "plev = np.array(\n",
-    "    [\n",
-    "        100000.0,\n",
-    "        92500.0,\n",
-    "        85000.0,\n",
-    "        70000.0,\n",
-    "        60000.0,\n",
-    "        50000.0,\n",
-    "        40000.0,\n",
-    "        30000.0,\n",
-    "        25000.0,\n",
-    "        20000.0,\n",
-    "        15000.0,\n",
-    "        10000.0,\n",
-    "        7000.0,\n",
-    "        5000.0,\n",
-    "        3000.0,\n",
-    "        2000.0,\n",
-    "        1000.0,\n",
-    "        500.0,\n",
-    "        100.0,\n",
-    "    ],\n",
-    "    dtype=\"f8\",\n",
-    ")\n",
+    "lat = source[\"lat\"].values.astype(\"f8\")\n",
+    "lat_bnds = source[\"lat_bnds\"].values.astype(\"f8\")\n",
+    "lon = source[\"lon\"].values.astype(\"f8\")\n",
+    "lon_bnds = source[\"lon_bnds\"].values.astype(\"f8\")\n",
+    "time = source[\"time\"].values.astype(\"f8\")\n",
+    "time_bnds = source[\"time_bnds\"].values.astype(\"f8\")\n",
+    "time_units = source[\"time\"].attrs[\"units\"]\n",
+    "plev = source[\"plev\"].values.astype(\"f8\")\n",
+    "plev_units = source[\"plev\"].attrs.get(\"units\", \"Pa\")\n",
     "\n",
-    "seasonal_cycle = np.array([0.0, 1.2], dtype=\"f4\")[:, None, None, None]\n",
-    "pressure_term = np.log(plev[None, :, None, None] / 100000.0)\n",
-    "lat_term = np.sin(np.deg2rad(lat))[None, None, :, None] ** 2\n",
-    "lon_term = np.cos(np.deg2rad(lon))[None, None, None, :]\n",
-    "ta = (285.0 + 32.0 * pressure_term - 35.0 * lat_term + lon_term + seasonal_cycle).astype(\"f4\")\n",
+    "missing_value = np.float32(1.0e20)\n",
+    "ta_source = source[\"ta\"].values.astype(\"f4\")\n",
+    "ta = np.where(np.isfinite(ta_source), ta_source, missing_value).astype(\"f4\")\n",
     "\n",
     "print(ta.shape)\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T00:14:09.828670Z",
-     "iopub.status.busy": "2026-05-30T00:14:09.828593Z",
-     "iopub.status.idle": "2026-05-30T00:14:09.900421Z",
-     "shell.execute_reply": "2026-05-30T00:14:09.900013Z"
+     "iopub.execute_input": "2026-05-30T19:00:07.225113Z",
+     "iopub.status.busy": "2026-05-30T19:00:07.225028Z",
+     "iopub.status.idle": "2026-05-30T19:00:07.450739Z",
+     "shell.execute_reply": "2026-05-30T19:00:07.450370Z"
     }
    },
    "outputs": [
@@ -160,7 +997,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "output/03_pressure_level_air_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/ta/tavg-p19-hxy-air/g999/v20260529/ta_tavg-p19-hxy-air_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201801-201802.nc\n"
+      "output/03_pressure_level_air_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/ta/tavg-p19-hxy-air/g999/v20260530/ta_tavg-p19-hxy-air_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_187001-187002.nc\n"
      ]
     }
    ],
@@ -174,12 +1011,12 @@
     "cmor.load_table(\"CMIP7_atmos.json\")\n",
     "\n",
     "time_id = cmor.axis(\"time\", coord_vals=time, cell_bounds=time_bnds, units=time_units)\n",
-    "plev_id = cmor.axis(\"plev19\", coord_vals=plev, units=\"Pa\")\n",
+    "plev_id = cmor.axis(\"plev19\", coord_vals=plev, units=plev_units)\n",
     "lat_id = cmor.axis(\"latitude\", coord_vals=lat, cell_bounds=lat_bnds, units=\"degrees_north\")\n",
     "lon_id = cmor.axis(\"longitude\", coord_vals=lon, cell_bounds=lon_bnds, units=\"degrees_east\")\n",
     "\n",
     "variable_name = \"ta_tavg-p19-hxy-air\"\n",
-    "ta_id = cmor.variable(variable_name, \"K\", [time_id, plev_id, lat_id, lon_id])\n",
+    "ta_id = cmor.variable(variable_name, \"K\", [time_id, plev_id, lat_id, lon_id], missing_value=missing_value)\n",
     "compound_name = \".\".join([\"atmos\"] + variable_name.split(\"_\") + [\"mon\", \"glb\"])\n",
     "\n",
     "with open(Path(TABLES_DIR) / \"CMIP7_cell_measures.json\") as handle:\n",
@@ -201,13 +1038,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T00:14:09.901518Z",
-     "iopub.status.busy": "2026-05-30T00:14:09.901451Z",
-     "iopub.status.idle": "2026-05-30T00:14:10.018111Z",
-     "shell.execute_reply": "2026-05-30T00:14:10.017654Z"
+     "iopub.execute_input": "2026-05-30T19:00:07.451975Z",
+     "iopub.status.busy": "2026-05-30T19:00:07.451890Z",
+     "iopub.status.idle": "2026-05-30T19:00:07.505828Z",
+     "shell.execute_reply": "2026-05-30T19:00:07.505353Z"
     }
    },
    "outputs": [
@@ -756,26 +1593,26 @@
        "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
        "  stroke-width: 0.8px;\n",
        "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 100kB\n",
-       "Dimensions:    (time: 2, bnds: 2, lat: 18, lon: 36, plev: 19)\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 10MB\n",
+       "Dimensions:    (time: 2, bnds: 2, lat: 180, lon: 360, plev: 19)\n",
        "Coordinates:\n",
-       "  * time       (time) float64 16B 15.0 45.0\n",
-       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
-       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
+       "  * time       (time) float64 16B 7.316e+03 7.345e+03\n",
+       "  * lat        (lat) float64 1kB -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
+       "  * lon        (lon) float64 3kB 0.5 1.5 2.5 3.5 4.5 ... 356.5 357.5 358.5 359.5\n",
        "  * plev       (plev) float64 152B 1e+05 9.25e+04 8.5e+04 ... 1e+03 500.0 100.0\n",
        "Dimensions without coordinates: bnds\n",
        "Data variables:\n",
-       "    time_bnds  (time, bnds) float64 32B 0.0 30.0 30.0 60.0\n",
-       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
-       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
-       "    ta         (time, plev, lat, lon) float32 98kB 251.3 251.2 ... 31.38 31.41\n",
+       "    time_bnds  (time, bnds) float64 32B 7.3e+03 7.331e+03 7.331e+03 7.359e+03\n",
+       "    lat_bnds   (lat, bnds) float64 3kB -90.0 -89.0 -89.0 ... 89.0 89.0 90.0\n",
+       "    lon_bnds   (lon, bnds) float64 6kB 0.0 1.0 1.0 2.0 ... 359.0 359.0 360.0\n",
+       "    ta         (time, plev, lat, lon) float32 10MB nan nan nan ... 269.4 269.4\n",
        "Attributes:\n",
        "    Conventions:           CF-1.12\n",
        "    activity_id:           CMIP\n",
        "    area_label:            air\n",
        "    branded_variable:      ta_tavg-p19-hxy-air\n",
        "    branding_suffix:       tavg-p19-hxy-air\n",
-       "    creation_date:         2026-05-30T00:14:09Z\n",
+       "    creation_date:         2026-05-30T19:00:07Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -785,7 +1622,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-30T00:14:09Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-05-30T19:00:07Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -804,132 +1641,174 @@
        "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/49026c7a-d26a-47c4-bace-86d6671f07e1\n",
+       "    tracking_id:           hdl:21.14107/9a243521-6e75-4771-a447-0d2ad87db7c8\n",
        "    variable_id:           ta\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        p19\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a244e686-ffb1-4d9a-81dd-4b9e1989b1e2' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-a244e686-ffb1-4d9a-81dd-4b9e1989b1e2' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li><li><span class='xr-has-index'>plev</span>: 19</li></ul></div></li><li class='xr-section-item'><input id='section-f3ba58c3-57dc-46e3-8d57-9e9b98aecb56' class='xr-section-summary-in' type='checkbox' checked /><label for='section-f3ba58c3-57dc-46e3-8d57-9e9b98aecb56' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0</div><input id='attrs-2f0385ab-2e32-47fa-a704-434cb7a6f6f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f0385ab-2e32-47fa-a704-434cb7a6f6f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f79d92c-7ec0-4353-981c-d5424ff70ceb' class='xr-var-data-in' type='checkbox'><label for='data-8f79d92c-7ec0-4353-981c-d5424ff70ceb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-742ef131-cf4a-4bc2-914f-2694d155728a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-742ef131-cf4a-4bc2-914f-2694d155728a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1968e203-6cd2-40da-b68c-b62523e4915c' class='xr-var-data-in' type='checkbox'><label for='data-1968e203-6cd2-40da-b68c-b62523e4915c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
-       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-6191a356-223e-450c-93d0-cf11743038cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6191a356-223e-450c-93d0-cf11743038cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c54f6925-a074-49b1-9ffc-40ec0bc5ebb7' class='xr-var-data-in' type='checkbox'><label for='data-c54f6925-a074-49b1-9ffc-40ec0bc5ebb7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
-       "       125., 135., 145., 155., 165., 175., 185., 195., 205., 215., 225., 235.,\n",
-       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>plev</span></div><div class='xr-var-dims'>(plev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05 9.25e+04 ... 500.0 100.0</div><input id='attrs-7c8268bd-d082-4929-b61d-efeb6af9bc04' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c8268bd-d082-4929-b61d-efeb6af9bc04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0821a0b3-cc05-422a-8573-3459eaaed303' class='xr-var-data-in' type='checkbox'><label for='data-0821a0b3-cc05-422a-8573-3459eaaed303' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>Pressure Levels (19)</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd></dl></div><div class='xr-var-data'><pre>array([100000.,  92500.,  85000.,  70000.,  60000.,  50000.,  40000.,  30000.,\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-9f9a0608-cfb5-43bd-9836-9b0aa9e3221e' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-9f9a0608-cfb5-43bd-9836-9b0aa9e3221e' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 180</li><li><span class='xr-has-index'>lon</span>: 360</li><li><span class='xr-has-index'>plev</span>: 19</li></ul></div></li><li class='xr-section-item'><input id='section-1b914eaa-387b-4a71-a98c-c36849c49f83' class='xr-section-summary-in' type='checkbox' checked /><label for='section-1b914eaa-387b-4a71-a98c-c36849c49f83' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.316e+03 7.345e+03</div><input id='attrs-089a772d-e682-4250-a170-1e1c383a068d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-089a772d-e682-4250-a170-1e1c383a068d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb149fbb-d372-4686-b6a5-07e4f70d2f66' class='xr-var-data-in' type='checkbox'><label for='data-eb149fbb-d372-4686-b6a5-07e4f70d2f66' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-01-01 00:00:00</dd><dt><span>calendar :</span></dt><dd>noleap</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([7315.5, 7345. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.5 -88.5 -87.5 ... 88.5 89.5</div><input id='attrs-40466ec2-afd8-494b-84db-cb0039e9521e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40466ec2-afd8-494b-84db-cb0039e9521e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae27c5bf-4bd9-4b8b-9507-c1eba104ee33' class='xr-var-data-in' type='checkbox'><label for='data-ae27c5bf-4bd9-4b8b-9507-c1eba104ee33' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
+       "       -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,\n",
+       "       -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5,\n",
+       "       -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5,\n",
+       "       -49.5, -48.5, -47.5, -46.5, -45.5, -44.5, -43.5, -42.5, -41.5, -40.5,\n",
+       "       -39.5, -38.5, -37.5, -36.5, -35.5, -34.5, -33.5, -32.5, -31.5, -30.5,\n",
+       "       -29.5, -28.5, -27.5, -26.5, -25.5, -24.5, -23.5, -22.5, -21.5, -20.5,\n",
+       "       -19.5, -18.5, -17.5, -16.5, -15.5, -14.5, -13.5, -12.5, -11.5, -10.5,\n",
+       "        -9.5,  -8.5,  -7.5,  -6.5,  -5.5,  -4.5,  -3.5,  -2.5,  -1.5,  -0.5,\n",
+       "         0.5,   1.5,   2.5,   3.5,   4.5,   5.5,   6.5,   7.5,   8.5,   9.5,\n",
+       "        10.5,  11.5,  12.5,  13.5,  14.5,  15.5,  16.5,  17.5,  18.5,  19.5,\n",
+       "        20.5,  21.5,  22.5,  23.5,  24.5,  25.5,  26.5,  27.5,  28.5,  29.5,\n",
+       "        30.5,  31.5,  32.5,  33.5,  34.5,  35.5,  36.5,  37.5,  38.5,  39.5,\n",
+       "        40.5,  41.5,  42.5,  43.5,  44.5,  45.5,  46.5,  47.5,  48.5,  49.5,\n",
+       "        50.5,  51.5,  52.5,  53.5,  54.5,  55.5,  56.5,  57.5,  58.5,  59.5,\n",
+       "        60.5,  61.5,  62.5,  63.5,  64.5,  65.5,  66.5,  67.5,  68.5,  69.5,\n",
+       "        70.5,  71.5,  72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,\n",
+       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5 1.5 2.5 ... 357.5 358.5 359.5</div><input id='attrs-1885efe1-5973-426b-83a7-6656fc19871f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1885efe1-5973-426b-83a7-6656fc19871f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb9c75c9-59f6-411c-8b86-36f1cfc244d1' class='xr-var-data-in' type='checkbox'><label for='data-fb9c75c9-59f6-411c-8b86-36f1cfc244d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.5,   1.5,   2.5, ..., 357.5, 358.5, 359.5], shape=(360,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>plev</span></div><div class='xr-var-dims'>(plev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05 9.25e+04 ... 500.0 100.0</div><input id='attrs-a160a418-c971-4a0b-be60-600fbf823aec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a160a418-c971-4a0b-be60-600fbf823aec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3552d589-6c95-4991-86f2-337797c56d0c' class='xr-var-data-in' type='checkbox'><label for='data-3552d589-6c95-4991-86f2-337797c56d0c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>Pressure Levels (19)</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd></dl></div><div class='xr-var-data'><pre>array([100000.,  92500.,  85000.,  70000.,  60000.,  50000.,  40000.,  30000.,\n",
        "        25000.,  20000.,  15000.,  10000.,   7000.,   5000.,   3000.,   2000.,\n",
-       "         1000.,    500.,    100.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5db1715c-0687-43f1-bdd2-ef3e5febf086' class='xr-section-summary-in' type='checkbox' checked /><label for='section-5db1715c-0687-43f1-bdd2-ef3e5febf086' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0</div><input id='attrs-f0c7ff93-52a1-45ac-a235-536e7ac42e80' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f0c7ff93-52a1-45ac-a235-536e7ac42e80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e877b719-e493-4bdc-97c6-3a8bb9f244e3' class='xr-var-data-in' type='checkbox'><label for='data-e877b719-e493-4bdc-97c6-3a8bb9f244e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
-       "       [30., 60.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-80b273a4-5128-4185-a37b-edac3e00db1b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-80b273a4-5128-4185-a37b-edac3e00db1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-781a2624-f893-4fba-b452-76f8af7bb2a6' class='xr-var-data-in' type='checkbox'><label for='data-781a2624-f893-4fba-b452-76f8af7bb2a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
-       "       [-80., -70.],\n",
-       "       [-70., -60.],\n",
-       "       [-60., -50.],\n",
-       "       [-50., -40.],\n",
-       "       [-40., -30.],\n",
-       "       [-30., -20.],\n",
-       "       [-20., -10.],\n",
-       "       [-10.,   0.],\n",
-       "       [  0.,  10.],\n",
-       "       [ 10.,  20.],\n",
-       "       [ 20.,  30.],\n",
-       "       [ 30.,  40.],\n",
-       "       [ 40.,  50.],\n",
-       "       [ 50.,  60.],\n",
-       "       [ 60.,  70.],\n",
-       "       [ 70.,  80.],\n",
-       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-b9712a45-fcde-4672-b24a-8019df8bc6ea' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b9712a45-fcde-4672-b24a-8019df8bc6ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2160250d-c4df-4b17-86a8-36ad0847321c' class='xr-var-data-in' type='checkbox'><label for='data-2160250d-c4df-4b17-86a8-36ad0847321c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
-       "       [ 10.,  20.],\n",
-       "       [ 20.,  30.],\n",
-       "       [ 30.,  40.],\n",
-       "       [ 40.,  50.],\n",
-       "       [ 50.,  60.],\n",
-       "       [ 60.,  70.],\n",
-       "       [ 70.,  80.],\n",
-       "       [ 80.,  90.],\n",
-       "       [ 90., 100.],\n",
-       "       [100., 110.],\n",
-       "       [110., 120.],\n",
-       "       [120., 130.],\n",
-       "       [130., 140.],\n",
-       "       [140., 150.],\n",
-       "       [150., 160.],\n",
-       "       [160., 170.],\n",
-       "       [170., 180.],\n",
-       "       [180., 190.],\n",
-       "       [190., 200.],\n",
-       "       [200., 210.],\n",
-       "       [210., 220.],\n",
-       "       [220., 230.],\n",
-       "       [230., 240.],\n",
-       "       [240., 250.],\n",
-       "       [250., 260.],\n",
-       "       [260., 270.],\n",
-       "       [270., 280.],\n",
-       "       [280., 290.],\n",
-       "       [290., 300.],\n",
-       "       [300., 310.],\n",
-       "       [310., 320.],\n",
-       "       [320., 330.],\n",
-       "       [330., 340.],\n",
-       "       [340., 350.],\n",
-       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, plev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>251.3 251.2 251.2 ... 31.38 31.41</div><input id='attrs-bf79519c-0715-4932-b628-0e28053a91ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf79519c-0715-4932-b628-0e28053a91ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fbe55981-4354-4ff1-86ba-cfc6ae3b2611' class='xr-var-data-in' type='checkbox'><label for='data-fbe55981-4354-4ff1-86ba-cfc6ae3b2611' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean where air</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[251.26205 , 251.2318  , 251.17216 , ..., 251.17216 ,\n",
-       "          251.2318  , 251.26205 ],\n",
-       "         [253.34074 , 253.31049 , 253.25087 , ..., 253.25087 ,\n",
-       "          253.31049 , 253.34074 ],\n",
-       "         [257.2474  , 257.21713 , 257.15753 , ..., 257.15753 ,\n",
-       "          257.21713 , 257.2474  ],\n",
+       "         1000.,    500.,    100.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-60972994-c40a-46b3-9f24-74a30743b9b4' class='xr-section-summary-in' type='checkbox' checked /><label for='section-60972994-c40a-46b3-9f24-74a30743b9b4' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.3e+03 7.331e+03 ... 7.359e+03</div><input id='attrs-c1fe98b7-c8c0-4ffb-88ad-49a011af567a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c1fe98b7-c8c0-4ffb-88ad-49a011af567a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1389009-e311-4c80-b68c-15b073028fe9' class='xr-var-data-in' type='checkbox'><label for='data-e1389009-e311-4c80-b68c-15b073028fe9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[7300., 7331.],\n",
+       "       [7331., 7359.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -89.0 -89.0 ... 89.0 90.0</div><input id='attrs-3729d87c-515c-4487-985e-149e9fd94891' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3729d87c-515c-4487-985e-149e9fd94891' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-779f0ca6-d1d4-4b1b-9356-2a898721091c' class='xr-var-data-in' type='checkbox'><label for='data-779f0ca6-d1d4-4b1b-9356-2a898721091c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -89.],\n",
+       "       [-89., -88.],\n",
+       "       [-88., -87.],\n",
+       "       [-87., -86.],\n",
+       "       [-86., -85.],\n",
+       "       [-85., -84.],\n",
+       "       [-84., -83.],\n",
+       "       [-83., -82.],\n",
+       "       [-82., -81.],\n",
+       "       [-81., -80.],\n",
+       "       [-80., -79.],\n",
+       "       [-79., -78.],\n",
+       "       [-78., -77.],\n",
+       "       [-77., -76.],\n",
+       "       [-76., -75.],\n",
+       "       [-75., -74.],\n",
+       "       [-74., -73.],\n",
+       "       [-73., -72.],\n",
+       "       [-72., -71.],\n",
+       "       [-71., -70.],\n",
+       "...\n",
+       "       [ 70.,  71.],\n",
+       "       [ 71.,  72.],\n",
+       "       [ 72.,  73.],\n",
+       "       [ 73.,  74.],\n",
+       "       [ 74.,  75.],\n",
+       "       [ 75.,  76.],\n",
+       "       [ 76.,  77.],\n",
+       "       [ 77.,  78.],\n",
+       "       [ 78.,  79.],\n",
+       "       [ 79.,  80.],\n",
+       "       [ 80.,  81.],\n",
+       "       [ 81.,  82.],\n",
+       "       [ 82.,  83.],\n",
+       "       [ 83.,  84.],\n",
+       "       [ 84.,  85.],\n",
+       "       [ 85.,  86.],\n",
+       "       [ 86.,  87.],\n",
+       "       [ 87.,  88.],\n",
+       "       [ 88.,  89.],\n",
+       "       [ 89.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 1.0 ... 359.0 359.0 360.0</div><input id='attrs-38d3c145-4597-40c7-8dec-84be7da0bccc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-38d3c145-4597-40c7-8dec-84be7da0bccc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52fca06e-8bea-4c73-8130-14daec767221' class='xr-var-data-in' type='checkbox'><label for='data-52fca06e-8bea-4c73-8130-14daec767221' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,   1.],\n",
+       "       [  1.,   2.],\n",
+       "       [  2.,   3.],\n",
+       "       [  3.,   4.],\n",
+       "       [  4.,   5.],\n",
+       "       [  5.,   6.],\n",
+       "       [  6.,   7.],\n",
+       "       [  7.,   8.],\n",
+       "       [  8.,   9.],\n",
+       "       [  9.,  10.],\n",
+       "       [ 10.,  11.],\n",
+       "       [ 11.,  12.],\n",
+       "       [ 12.,  13.],\n",
+       "       [ 13.,  14.],\n",
+       "       [ 14.,  15.],\n",
+       "       [ 15.,  16.],\n",
+       "       [ 16.,  17.],\n",
+       "       [ 17.,  18.],\n",
+       "       [ 18.,  19.],\n",
+       "       [ 19.,  20.],\n",
+       "...\n",
+       "       [340., 341.],\n",
+       "       [341., 342.],\n",
+       "       [342., 343.],\n",
+       "       [343., 344.],\n",
+       "       [344., 345.],\n",
+       "       [345., 346.],\n",
+       "       [346., 347.],\n",
+       "       [347., 348.],\n",
+       "       [348., 349.],\n",
+       "       [349., 350.],\n",
+       "       [350., 351.],\n",
+       "       [351., 352.],\n",
+       "       [352., 353.],\n",
+       "       [353., 354.],\n",
+       "       [354., 355.],\n",
+       "       [355., 356.],\n",
+       "       [356., 357.],\n",
+       "       [357., 358.],\n",
+       "       [358., 359.],\n",
+       "       [359., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, plev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 269.4 269.4 269.4</div><input id='attrs-f664c2b1-233a-4a9e-b2c6-1fecba9ac9bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f664c2b1-233a-4a9e-b2c6-1fecba9ac9bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d964818e-17d9-49b1-b4c9-2d5f80e98e66' class='xr-var-data-in' type='checkbox'><label for='data-d964818e-17d9-49b1-b4c9-2d5f80e98e66' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean where air</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
        "         ...,\n",
-       "         [257.2474  , 257.21713 , 257.15753 , ..., 257.15753 ,\n",
-       "          257.21713 , 257.2474  ],\n",
-       "         [253.34074 , 253.31049 , 253.25087 , ..., 253.25087 ,\n",
-       "          253.31049 , 253.34074 ],\n",
-       "         [251.26205 , 251.2318  , 251.17216 , ..., 251.17216 ,\n",
-       "          251.2318  , 251.26205 ]],\n",
-       "\n",
-       "        [[248.76729 , 248.73701 , 248.6774  , ..., 248.6774  ,\n",
-       "          248.73701 , 248.76729 ],\n",
-       "         [250.84598 , 250.8157  , 250.75609 , ..., 250.75609 ,\n",
-       "          250.8157  , 250.84598 ],\n",
-       "         [254.75264 , 254.72237 , 254.66275 , ..., 254.66275 ,\n",
-       "          254.72237 , 254.75264 ],\n",
+       "         [248.62799, 248.62799, 248.62799, ..., 247.47401, 247.47401,\n",
+       "          247.47401],\n",
+       "         [248.55006, 248.54996, 248.54979, ..., 247.536  , 247.53587,\n",
+       "          247.53581],\n",
+       "         [248.4412 , 248.4412 , 248.4412 , ..., 247.61282, 247.61282,\n",
+       "          247.61282]],\n",
+       "\n",
+       "        [[      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
        "...\n",
-       "         [ 88.90125 ,  88.87099 ,  88.81137 , ...,  88.81137 ,\n",
-       "           88.87099 ,  88.90125 ],\n",
-       "         [ 84.99459 ,  84.964325,  84.90471 , ...,  84.90471 ,\n",
-       "           84.964325,  84.99459 ],\n",
-       "         [ 82.9159  ,  82.885635,  82.82602 , ...,  82.82602 ,\n",
-       "           82.885635,  82.9159  ]],\n",
-       "\n",
-       "        [[ 31.41389 ,  31.383621,  31.324003, ...,  31.324003,\n",
-       "           31.383621,  31.41389 ],\n",
-       "         [ 33.49258 ,  33.46231 ,  33.402695, ...,  33.402695,\n",
-       "           33.46231 ,  33.49258 ],\n",
-       "         [ 37.399242,  37.368973,  37.309357, ...,  37.309357,\n",
-       "           37.368973,  37.399242],\n",
+       "         [230.53004, 230.53004, 230.53004, ..., 230.00777, 230.00777,\n",
+       "          230.00777],\n",
+       "         [230.58401, 230.58408, 230.58418, ..., 230.0691 , 230.06897,\n",
+       "          230.06891],\n",
+       "         [230.65952, 230.65952, 230.65952, ..., 230.15445, 230.15445,\n",
+       "          230.15445]],\n",
+       "\n",
+       "        [[269.41315, 269.41315, 269.41315, ..., 269.38086, 269.38086,\n",
+       "          269.38086],\n",
+       "         [269.2813 , 269.2814 , 269.28162, ..., 269.21027, 269.21   ,\n",
+       "          269.20984],\n",
+       "         [269.18707, 269.18707, 269.18707, ..., 269.08765, 269.08765,\n",
+       "          269.08765],\n",
        "         ...,\n",
-       "         [ 37.399242,  37.368973,  37.309357, ...,  37.309357,\n",
-       "           37.368973,  37.399242],\n",
-       "         [ 33.49258 ,  33.46231 ,  33.402695, ...,  33.402695,\n",
-       "           33.46231 ,  33.49258 ],\n",
-       "         [ 31.41389 ,  31.383621,  31.324003, ...,  31.324003,\n",
-       "           31.383621,  31.41389 ]]]], shape=(2, 19, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c026b567-cb4d-409e-a3c3-9588d4283ab9' class='xr-section-summary-in' type='checkbox' checked /><label for='section-c026b567-cb4d-409e-a3c3-9588d4283ab9' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>air</dd><dt><span>branded_variable :</span></dt><dd>ta_tavg-p19-hxy-air</dd><dt><span>branding_suffix :</span></dt><dd>tavg-p19-hxy-air</dd><dt><span>creation_date :</span></dt><dd>2026-05-30T00:14:09Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-30T00:14:09Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/49026c7a-d26a-47c4-bace-86d6671f07e1</dd><dt><span>variable_id :</span></dt><dd>ta</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>p19</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+       "         [271.54065, 271.54065, 271.54065, ..., 270.91687, 270.91687,\n",
+       "          270.91687],\n",
+       "         [270.9006 , 270.89993, 270.89853, ..., 270.28284, 270.2842 ,\n",
+       "          270.2849 ],\n",
+       "         [270.00507, 270.00507, 270.00507, ..., 269.40063, 269.40063,\n",
+       "          269.40063]]]], shape=(2, 19, 180, 360), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-60eee25c-1e68-4b98-8638-eccb9ec09acb' class='xr-section-summary-in' type='checkbox' checked /><label for='section-60eee25c-1e68-4b98-8638-eccb9ec09acb' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>air</dd><dt><span>branded_variable :</span></dt><dd>ta_tavg-p19-hxy-air</dd><dt><span>branding_suffix :</span></dt><dd>tavg-p19-hxy-air</dd><dt><span>creation_date :</span></dt><dd>2026-05-30T19:00:07Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-30T19:00:07Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/9a243521-6e75-4771-a447-0d2ad87db7c8</dd><dt><span>variable_id :</span></dt><dd>ta</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>p19</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
-       "<xarray.Dataset> Size: 100kB\n",
-       "Dimensions:    (time: 2, bnds: 2, lat: 18, lon: 36, plev: 19)\n",
+       "<xarray.Dataset> Size: 10MB\n",
+       "Dimensions:    (time: 2, bnds: 2, lat: 180, lon: 360, plev: 19)\n",
        "Coordinates:\n",
-       "  * time       (time) float64 16B 15.0 45.0\n",
-       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
-       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
+       "  * time       (time) float64 16B 7.316e+03 7.345e+03\n",
+       "  * lat        (lat) float64 1kB -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
+       "  * lon        (lon) float64 3kB 0.5 1.5 2.5 3.5 4.5 ... 356.5 357.5 358.5 359.5\n",
        "  * plev       (plev) float64 152B 1e+05 9.25e+04 8.5e+04 ... 1e+03 500.0 100.0\n",
        "Dimensions without coordinates: bnds\n",
        "Data variables:\n",
-       "    time_bnds  (time, bnds) float64 32B 0.0 30.0 30.0 60.0\n",
-       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
-       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
-       "    ta         (time, plev, lat, lon) float32 98kB 251.3 251.2 ... 31.38 31.41\n",
+       "    time_bnds  (time, bnds) float64 32B 7.3e+03 7.331e+03 7.331e+03 7.359e+03\n",
+       "    lat_bnds   (lat, bnds) float64 3kB -90.0 -89.0 -89.0 ... 89.0 89.0 90.0\n",
+       "    lon_bnds   (lon, bnds) float64 6kB 0.0 1.0 1.0 2.0 ... 359.0 359.0 360.0\n",
+       "    ta         (time, plev, lat, lon) float32 10MB nan nan nan ... 269.4 269.4\n",
        "Attributes:\n",
        "    Conventions:           CF-1.12\n",
        "    activity_id:           CMIP\n",
        "    area_label:            air\n",
        "    branded_variable:      ta_tavg-p19-hxy-air\n",
        "    branding_suffix:       tavg-p19-hxy-air\n",
-       "    creation_date:         2026-05-30T00:14:09Z\n",
+       "    creation_date:         2026-05-30T19:00:07Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -939,7 +1818,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-30T00:14:09Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-05-30T19:00:07Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -958,7 +1837,7 @@
        "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/49026c7a-d26a-47c4-bace-86d6671f07e1\n",
+       "    tracking_id:           hdl:21.14107/9a243521-6e75-4771-a447-0d2ad87db7c8\n",
        "    variable_id:           ta\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        p19\n",
@@ -986,19 +1865,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T00:14:10.019539Z",
-     "iopub.status.busy": "2026-05-30T00:14:10.019443Z",
-     "iopub.status.idle": "2026-05-30T00:14:10.154761Z",
-     "shell.execute_reply": "2026-05-30T00:14:10.154218Z"
+     "iopub.execute_input": "2026-05-30T19:00:07.507043Z",
+     "iopub.status.busy": "2026-05-30T19:00:07.506954Z",
+     "iopub.status.idle": "2026-05-30T19:00:07.684921Z",
+     "shell.execute_reply": "2026-05-30T19:00:07.684469Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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       "text/plain": [
        "<Figure size 1100x540 with 2 Axes>"
       ]
diff --git a/notebooks/data/ta_Amon_E3SM-3-0_historical_r1i1p1f1_gr_187001-187002.nc b/notebooks/data/ta_Amon_E3SM-3-0_historical_r1i1p1f1_gr_187001-187002.nc
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From 9a499ee07184a3632aa38583d633452cc2e44554 Mon Sep 17 00:00:00 2001
From: Chris Mauzey <mauzey1@llnl.gov>
Date: Sat, 30 May 2026 12:47:09 -0700
Subject: [PATCH 21/25] Update examples 4 and 5 and clean up README

---
 .../04_hybrid_sigma_humidity_tendency.ipynb   | 2328 +++++++++++++++++
 notebooks/04_hybrid_sigma_zfactors.ipynb      | 1106 --------
 notebooks/05_curvilinear_ocean_grid.ipynb     | 1166 ---------
 .../05_ocean_heat_transport_by_basin.ipynb    | 1867 +++++++++++++
 notebooks/README.md                           |   14 +-
 ...0-lowNTCFCH4_r2i1p1f2_gnz_201501-204912.nc |  Bin 0 -> 1084676 bytes
 ...ROC-ES2L_amip_r2i1p1f2_gn_197901-197905.nc |  Bin 0 -> 3321983 bytes
 7 files changed, 4202 insertions(+), 2279 deletions(-)
 create mode 100644 notebooks/04_hybrid_sigma_humidity_tendency.ipynb
 delete mode 100644 notebooks/04_hybrid_sigma_zfactors.ipynb
 delete mode 100644 notebooks/05_curvilinear_ocean_grid.ipynb
 create mode 100644 notebooks/05_ocean_heat_transport_by_basin.ipynb
 create mode 100644 notebooks/data/htovgyre_Omon_UKESM1-0-LL_ssp370-lowNTCFCH4_r2i1p1f2_gnz_201501-204912.nc
 create mode 100644 notebooks/data/tnhusscpbl_CFmon_MIROC-ES2L_amip_r2i1p1f2_gn_197901-197905.nc

diff --git a/notebooks/04_hybrid_sigma_humidity_tendency.ipynb b/notebooks/04_hybrid_sigma_humidity_tendency.ipynb
new file mode 100644
index 00000000..3637280d
--- /dev/null
+++ b/notebooks/04_hybrid_sigma_humidity_tendency.ipynb
@@ -0,0 +1,2328 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Hybrid Sigma Humidity Tendency With Z-Factors\n",
+    "\n",
+    "Create a CMIP7 monthly humidity tendency file (`tnhusscpbl_tavg-al-hxy-u`) on a standard hybrid sigma pressure coordinate. This example reads source data with xarray, defines the vertical coordinate formula terms with CMOR zfactors, and stores surface pressure with the data variable."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-30T19:33:32.600468Z",
+     "iopub.status.busy": "2026-05-30T19:33:32.600323Z",
+     "iopub.status.idle": "2026-05-30T19:33:33.103915Z",
+     "shell.execute_reply": "2026-05-30T19:33:33.103528Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Using CMIP7 tables from ../cmip7-cmor-tables/tables\n"
+     ]
+    }
+   ],
+   "source": [
+    "from pathlib import Path\n",
+    "import json\n",
+    "import shutil\n",
+    "\n",
+    "import cmor\n",
+    "from IPython.display import display\n",
+    "import matplotlib.pyplot as plt\n",
+    "from mpl_toolkits.basemap import Basemap\n",
+    "import numpy as np\n",
+    "import xarray as xr\n",
+    "\n",
+    "TABLES_DIR = \"../cmip7-cmor-tables/tables\"\n",
+    "CV_PATH = \"../cmip7-cmor-tables/tables-cvs/cmor-cvs.json\"\n",
+    "DATA_PATH = Path(\"data\") / \"tnhusscpbl_CFmon_MIROC-ES2L_amip_r2i1p1f2_gn_197901-197905.nc\"\n",
+    "if not Path(TABLES_DIR).exists():\n",
+    "    raise FileNotFoundError(f\"CMIP7 tables directory not found: {TABLES_DIR}\")\n",
+    "if not Path(CV_PATH).exists():\n",
+    "    raise FileNotFoundError(f\"CMIP7 CV file not found: {CV_PATH}\")\n",
+    "if not DATA_PATH.exists():\n",
+    "    raise FileNotFoundError(f\"Source data file not found: {DATA_PATH}\")\n",
+    "\n",
+    "print(f\"Using CMIP7 tables from {TABLES_DIR}\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-30T19:33:33.119191Z",
+     "iopub.status.busy": "2026-05-30T19:33:33.119039Z",
+     "iopub.status.idle": "2026-05-30T19:33:33.266618Z",
+     "shell.execute_reply": "2026-05-30T19:33:33.266086Z"
+    }
+   },
+   "outputs": [
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+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 7MB\n",
+       "Dimensions:     (time: 5, bnds: 2, lev: 40, lat: 64, lon: 128)\n",
+       "Coordinates:\n",
+       "  * time        (time) float64 40B 15.5 45.0 74.5 105.0 135.5\n",
+       "  * lev         (lev) float64 320B 0.9975 0.9915 0.983 ... 0.0106 0.002905\n",
+       "  * lat         (lat) float64 512B -87.86 -85.1 -82.31 ... 82.31 85.1 87.86\n",
+       "  * lon         (lon) float64 1kB 0.0 2.812 5.625 8.438 ... 351.6 354.4 357.2\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds   (time, bnds) float64 80B 0.0 31.0 31.0 ... 120.0 120.0 151.0\n",
+       "    lev_bnds    (lev, bnds) float64 640B 1.0 0.995 0.995 ... 0.007 0.007 0.0\n",
+       "    p0          float64 8B 1e+05\n",
+       "    a           (lev) float64 320B 0.001113 0.003782 ... 0.0106 0.002905\n",
+       "    b           (lev) float64 320B 0.9964 0.9877 0.9754 0.9595 ... 0.0 0.0 0.0\n",
+       "    ps          (time, lat, lon) float32 164kB 6.951e+04 6.928e+04 ... 1.029e+05\n",
+       "    a_bnds      (lev, bnds) float64 640B 0.0 0.002224 0.002224 ... 0.007 0.0\n",
+       "    b_bnds      (lev, bnds) float64 640B 1.0 0.9928 0.9928 ... 0.0 0.0 0.0\n",
+       "    lat_bnds    (lat, bnds) float64 1kB -90.0 -86.58 -86.58 ... 86.58 86.58 90.0\n",
+       "    lon_bnds    (lon, bnds) float64 2kB -1.406 1.406 1.406 ... 355.8 355.8 358.6\n",
+       "    tnhusscpbl  (time, lev, lat, lon) float32 7MB 0.0 0.0 0.0 ... 0.0 0.0 0.0\n",
+       "Attributes:\n",
+       "    Conventions:           CF-1.7 CMIP-6.2\n",
+       "    activity_id:           CMIP\n",
+       "    branch_method:         no parent\n",
+       "    creation_date:         2020-08-15T22:41:28Z\n",
+       "    data_specs_version:    01.00.28\n",
+       "    experiment:            AMIP\n",
+       "    experiment_id:         amip\n",
+       "    external_variables:    areacella\n",
+       "    forcing_index:         2\n",
+       "    frequency:             mon\n",
+       "    further_info_url:      https://furtherinfo.es-doc.org/CMIP6.MIROC.MIROC-E...\n",
+       "    grid:                  native atmosphere T42 Gaussian grid\n",
+       "    grid_label:            gn\n",
+       "    history:               2020-08-15T22:41:28Z ; CMOR rewrote data to be con...\n",
+       "    initialization_index:  1\n",
+       "    institution:           JAMSTEC (Japan Agency for Marine-Earth Science and...\n",
+       "    institution_id:        MIROC\n",
+       "    mip_era:               CMIP6\n",
+       "    nominal_resolution:    500 km\n",
+       "    parent_activity_id:    no parent\n",
+       "    parent_experiment_id:  no parent\n",
+       "    physics_index:         1\n",
+       "    product:               model-output\n",
+       "    realization_index:     2\n",
+       "    realm:                 atmos\n",
+       "    source:                MIROC-ES2L (2018): \\naerosol: SPRINTARS6.0\\natmos:...\n",
+       "    source_id:             MIROC-ES2L\n",
+       "    source_type:           AGCM AER BGC\n",
+       "    sub_experiment:        none\n",
+       "    sub_experiment_id:     none\n",
+       "    table_id:              CFmon\n",
+       "    table_info:            Creation Date:(06 November 2018) MD5:af8da38b788c1...\n",
+       "    title:                 MIROC-ES2L output prepared for CMIP6\n",
+       "    variable_id:           tnhusscpbl\n",
+       "    variant_label:         r2i1p1f2\n",
+       "    license:               CMIP6 model data produced by MIROC is licensed und...\n",
+       "    cmor_version:          3.3.2\n",
+       "    tracking_id:           hdl:21.14100/f575a148-89c0-40d7-bdd5-b67e0f73cf4a</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-854d3ddf-77b2-43bc-afbc-be3fe74793bb' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-854d3ddf-77b2-43bc-afbc-be3fe74793bb' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 5</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lev</span>: 40</li><li><span class='xr-has-index'>lat</span>: 64</li><li><span class='xr-has-index'>lon</span>: 128</li></ul></div></li><li class='xr-section-item'><input id='section-329381b3-3915-4dd5-9b75-f4aa595af314' class='xr-section-summary-in' type='checkbox' checked /><label for='section-329381b3-3915-4dd5-9b75-f4aa595af314' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.5 45.0 74.5 105.0 135.5</div><input id='attrs-127d8f69-2ba6-45e3-a854-5d9ff1dd6ffc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-127d8f69-2ba6-45e3-a854-5d9ff1dd6ffc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd20af57-0480-42fa-b5a5-96f817897b41' class='xr-var-data-in' type='checkbox'><label for='data-bd20af57-0480-42fa-b5a5-96f817897b41' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1979-1-1</dd><dt><span>calendar :</span></dt><dd>gregorian</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([ 15.5,  45. ,  74.5, 105. , 135.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9975 0.9915 ... 0.0106 0.002905</div><input id='attrs-c6c65680-6c25-453c-8f42-c537620bfc32' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6c65680-6c25-453c-8f42-c537620bfc32' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96c45a7a-603e-419e-8946-e83034558d62' class='xr-var-data-in' type='checkbox'><label for='data-96c45a7a-603e-419e-8946-e83034558d62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lev_bnds</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>hybrid sigma pressure coordinate</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a b: b ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([0.997499, 0.991499, 0.982997, 0.971996, 0.958493, 0.94199 , 0.922486,\n",
+       "       0.900483, 0.875977, 0.848972, 0.819967, 0.786951, 0.746923, 0.698885,\n",
+       "       0.642833, 0.574472, 0.501478, 0.43645 , 0.379852, 0.330596, 0.287725,\n",
+       "       0.250411, 0.21794 , 0.189681, 0.16508 , 0.143673, 0.125043, 0.108828,\n",
+       "       0.094716, 0.082434, 0.071745, 0.062441, 0.054278, 0.046937, 0.040158,\n",
+       "       0.033613, 0.026593, 0.018613, 0.010603, 0.002905])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-87.86 -85.1 -82.31 ... 85.1 87.86</div><input id='attrs-29aa6bad-660a-48cd-a9b7-afd8593961bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29aa6bad-660a-48cd-a9b7-afd8593961bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4efe6b38-1502-46d6-a340-994a08e571b1' class='xr-var-data-in' type='checkbox'><label for='data-4efe6b38-1502-46d6-a340-994a08e571b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-87.863799, -85.096527, -82.312913, -79.525607, -76.7369  , -73.947515,\n",
+       "       -71.157752, -68.367756, -65.577607, -62.787352, -59.99702 , -57.206632,\n",
+       "       -54.4162  , -51.625734, -48.835241, -46.044727, -43.254195, -40.463648,\n",
+       "       -37.67309 , -34.882521, -32.091944, -29.30136 , -26.510769, -23.720174,\n",
+       "       -20.929574, -18.138971, -15.348365, -12.557756,  -9.767146,  -6.976534,\n",
+       "        -4.185921,  -1.395307,   1.395307,   4.185921,   6.976534,   9.767146,\n",
+       "        12.557756,  15.348365,  18.138971,  20.929574,  23.720174,  26.510769,\n",
+       "        29.30136 ,  32.091944,  34.882521,  37.67309 ,  40.463648,  43.254195,\n",
+       "        46.044727,  48.835241,  51.625734,  54.4162  ,  57.206632,  59.99702 ,\n",
+       "        62.787352,  65.577607,  68.367756,  71.157752,  73.947515,  76.7369  ,\n",
+       "        79.525607,  82.312913,  85.096527,  87.863799])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.812 5.625 ... 354.4 357.2</div><input id='attrs-f4874c08-1a95-47ef-9099-6693abca8944' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4874c08-1a95-47ef-9099-6693abca8944' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65702fd4-fda6-4305-abde-b9bca90814d2' class='xr-var-data-in' type='checkbox'><label for='data-65702fd4-fda6-4305-abde-b9bca90814d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.    ,   2.8125,   5.625 ,   8.4375,  11.25  ,  14.0625,  16.875 ,\n",
+       "        19.6875,  22.5   ,  25.3125,  28.125 ,  30.9375,  33.75  ,  36.5625,\n",
+       "        39.375 ,  42.1875,  45.    ,  47.8125,  50.625 ,  53.4375,  56.25  ,\n",
+       "        59.0625,  61.875 ,  64.6875,  67.5   ,  70.3125,  73.125 ,  75.9375,\n",
+       "        78.75  ,  81.5625,  84.375 ,  87.1875,  90.    ,  92.8125,  95.625 ,\n",
+       "        98.4375, 101.25  , 104.0625, 106.875 , 109.6875, 112.5   , 115.3125,\n",
+       "       118.125 , 120.9375, 123.75  , 126.5625, 129.375 , 132.1875, 135.    ,\n",
+       "       137.8125, 140.625 , 143.4375, 146.25  , 149.0625, 151.875 , 154.6875,\n",
+       "       157.5   , 160.3125, 163.125 , 165.9375, 168.75  , 171.5625, 174.375 ,\n",
+       "       177.1875, 180.    , 182.8125, 185.625 , 188.4375, 191.25  , 194.0625,\n",
+       "       196.875 , 199.6875, 202.5   , 205.3125, 208.125 , 210.9375, 213.75  ,\n",
+       "       216.5625, 219.375 , 222.1875, 225.    , 227.8125, 230.625 , 233.4375,\n",
+       "       236.25  , 239.0625, 241.875 , 244.6875, 247.5   , 250.3125, 253.125 ,\n",
+       "       255.9375, 258.75  , 261.5625, 264.375 , 267.1875, 270.    , 272.8125,\n",
+       "       275.625 , 278.4375, 281.25  , 284.0625, 286.875 , 289.6875, 292.5   ,\n",
+       "       295.3125, 298.125 , 300.9375, 303.75  , 306.5625, 309.375 , 312.1875,\n",
+       "       315.    , 317.8125, 320.625 , 323.4375, 326.25  , 329.0625, 331.875 ,\n",
+       "       334.6875, 337.5   , 340.3125, 343.125 , 345.9375, 348.75  , 351.5625,\n",
+       "       354.375 , 357.1875])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2f6242d3-b55c-4ff1-87f1-b079106e3731' class='xr-section-summary-in' type='checkbox' checked /><label for='section-2f6242d3-b55c-4ff1-87f1-b079106e3731' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 31.0 31.0 ... 120.0 120.0 151.0</div><input id='attrs-c5e46179-e62f-456a-9950-fa7280767c56' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c5e46179-e62f-456a-9950-fa7280767c56' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-422a4717-f4d8-4202-9b15-9399171315a7' class='xr-var-data-in' type='checkbox'><label for='data-422a4717-f4d8-4202-9b15-9399171315a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  31.],\n",
+       "       [ 31.,  59.],\n",
+       "       [ 59.,  90.],\n",
+       "       [ 90., 120.],\n",
+       "       [120., 151.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lev_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.995 0.995 ... 0.007 0.007 0.0</div><input id='attrs-81d1c323-402d-43c7-8b87-14e490040131' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81d1c323-402d-43c7-8b87-14e490040131' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-93da0931-06b4-4f4c-99d9-65c5b43ddeb6' class='xr-var-data-in' type='checkbox'><label for='data-93da0931-06b4-4f4c-99d9-65c5b43ddeb6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a_bnds b: b_bnds ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([[1.        , 0.995     ],\n",
+       "       [0.995     , 0.98799998],\n",
+       "       [0.98799998, 0.97799999],\n",
+       "       [0.97799999, 0.96600002],\n",
+       "       [0.96600002, 0.95099998],\n",
+       "       [0.95099998, 0.93300003],\n",
+       "       [0.93300003, 0.912     ],\n",
+       "       [0.912     , 0.889     ],\n",
+       "       [0.889     , 0.86299998],\n",
+       "       [0.86299998, 0.83499998],\n",
+       "       [0.83499998, 0.80500001],\n",
+       "       [0.80500001, 0.76899999],\n",
+       "       [0.76899999, 0.72500002],\n",
+       "       [0.72500002, 0.67299998],\n",
+       "       [0.67299998, 0.61299998],\n",
+       "       [0.61299998, 0.53654999],\n",
+       "       [0.53654999, 0.46698001],\n",
+       "       [0.46698001, 0.40641999],\n",
+       "       [0.40641999, 0.35372001],\n",
+       "       [0.35372001, 0.30785   ],\n",
+       "       [0.30785   , 0.26793   ],\n",
+       "       [0.26793   , 0.23318   ],\n",
+       "       [0.23318   , 0.20295   ],\n",
+       "       [0.20295   , 0.17663001],\n",
+       "       [0.17663001, 0.15372001],\n",
+       "       [0.15372001, 0.13379   ],\n",
+       "       [0.13379   , 0.11644   ],\n",
+       "       [0.11644   , 0.10134   ],\n",
+       "       [0.10134   , 0.0882    ],\n",
+       "       [0.0882    , 0.076763  ],\n",
+       "       [0.076763  , 0.066809  ],\n",
+       "       [0.066809  , 0.058145  ],\n",
+       "       [0.058145  , 0.050475  ],\n",
+       "       [0.050475  , 0.043462  ],\n",
+       "       [0.043462  , 0.036917  ],\n",
+       "       [0.036917  , 0.030384  ],\n",
+       "       [0.030384  , 0.022927  ],\n",
+       "       [0.022927  , 0.014526  ],\n",
+       "       [0.014526  , 0.007     ],\n",
+       "       [0.007     , 0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p0</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05</div><input id='attrs-c6638cf5-aa8a-4dbf-b168-6d819ba5d2fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6638cf5-aa8a-4dbf-b168-6d819ba5d2fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e1a818e-0e37-4b78-ab14-d528b1676591' class='xr-var-data-in' type='checkbox'><label for='data-8e1a818e-0e37-4b78-ab14-d528b1676591' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: reference pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array(100000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.001113 0.003782 ... 0.002905</div><input id='attrs-8a7f3555-74ee-462c-8969-393e77148d0c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a7f3555-74ee-462c-8969-393e77148d0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c0e7a23-0a40-45dc-84d4-9be4e6d2cef3' class='xr-var-data-in' type='checkbox'><label for='data-2c0e7a23-0a40-45dc-84d4-9be4e6d2cef3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a(k)</dd></dl></div><div class='xr-var-data'><pre>array([0.00111275, 0.00378219, 0.0075645 , 0.01245857, 0.01846599,\n",
+       "       0.0258086 , 0.03448657, 0.04427587, 0.05518012, 0.06719563,\n",
+       "       0.08010215, 0.09480408, 0.11264021, 0.13405917, 0.15908005,\n",
+       "       0.18977115, 0.22239427, 0.2515278 , 0.27720865, 0.30309604,\n",
+       "       0.2877251 , 0.25041144, 0.21794017, 0.18968127, 0.16508035,\n",
+       "       0.1436727 , 0.12504333, 0.10882762, 0.09471573, 0.08243426,\n",
+       "       0.07174488, 0.06244121, 0.05427773, 0.04693731, 0.04015774,\n",
+       "       0.03361269, 0.02659318, 0.01861324, 0.01060254, 0.00290465])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9964 0.9877 0.9754 ... 0.0 0.0</div><input id='attrs-88100e35-0b14-4a87-9c11-70db56ecf525' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88100e35-0b14-4a87-9c11-70db56ecf525' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-496e9921-85e3-4dd7-af93-854807ba6165' class='xr-var-data-in' type='checkbox'><label for='data-496e9921-85e3-4dd7-af93-854807ba6165' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b(k)</dd></dl></div><div class='xr-var-data'><pre>array([0.99638653, 0.98771632, 0.97543246, 0.95953703, 0.940027  ,\n",
+       "       0.91618115, 0.88799924, 0.85620666, 0.82079691, 0.78177685,\n",
+       "       0.73986518, 0.6921469 , 0.63428265, 0.56482565, 0.48375323,\n",
+       "       0.38470095, 0.27908337, 0.18492202, 0.10264368, 0.02749949,\n",
+       "       0.        , 0.        , 0.        , 0.        , 0.        ,\n",
+       "       0.        , 0.        , 0.        , 0.        , 0.        ,\n",
+       "       0.        , 0.        , 0.        , 0.        , 0.        ,\n",
+       "       0.        , 0.        , 0.        , 0.        , 0.        ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ps</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>6.951e+04 6.928e+04 ... 1.029e+05</div><input id='attrs-f2ffc4ed-b38b-4594-b651-9023326964f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f2ffc4ed-b38b-4594-b651-9023326964f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c3e3010-6e0c-4ebe-84dc-f0e76301698c' class='xr-var-data-in' type='checkbox'><label for='data-8c3e3010-6e0c-4ebe-84dc-f0e76301698c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface Air Pressure</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>original_units :</span></dt><dd>hPa</dd><dt><span>history :</span></dt><dd>2020-08-15T22:41:28Z altered by CMOR: Converted units from &#x27;hPa&#x27; to &#x27;Pa&#x27;.</dd></dl></div><div class='xr-var-data'><pre>array([[[ 69506.68 ,  69276.34 ,  69050.01 , ...,  70217.68 ,\n",
+       "          69978.55 ,  69741.01 ],\n",
+       "        [ 70131.305,  69566.664,  69032.41 , ...,  71992.38 ,\n",
+       "          71346.164,  70724.734],\n",
+       "        [ 69113.99 ,  68264.625,  67517.63 , ...,  72280.305,\n",
+       "          71123.83 ,  70067.32 ],\n",
+       "        ...,\n",
+       "        [102419.91 , 102623.85 , 102737.43 , ..., 101161.06 ,\n",
+       "         101695.31 , 102113.6  ],\n",
+       "        [102910.98 , 102975.76 , 103014.15 , ..., 102552.67 ,\n",
+       "         102699.84 , 102819.8  ],\n",
+       "        [103155.71 , 103150.11 , 103142.12 , ..., 103156.51 ,\n",
+       "         103158.11 , 103158.11 ]],\n",
+       "\n",
+       "       [[ 69910.48 ,  69675.164,  69443.82 , ...,  70634.72 ,\n",
+       "          70390.66 ,  70148.98 ],\n",
+       "        [ 70598.14 ,  70024.96 ,  69482.77 , ...,  72486.24 ,\n",
+       "          71830.375,  71200.74 ],\n",
+       "        [ 69574.2  ,  68708.46 ,  67946.86 , ...,  72802.64 ,\n",
+       "          71624.48 ,  70547.266],\n",
+       "...\n",
+       "        [103368.234, 103566.87 , 103678.21 , ..., 102154.016,\n",
+       "         102668.21 , 103071.89 ],\n",
+       "        [103760.7  , 103823.17 , 103862.43 , ..., 103417.9  ,\n",
+       "         103558.07 , 103672.59 ],\n",
+       "        [103979.36 , 103973.76 , 103965.75 , ..., 103981.766,\n",
+       "         103983.36 , 103982.555]],\n",
+       "\n",
+       "       [[ 68441.375,  68197.09 ,  67957.55 , ...,  69196.28 ,\n",
+       "          68941.76 ,  68690.39 ],\n",
+       "        [ 69065.47 ,  68471.32 ,  67908.69 , ...,  71029.17 ,\n",
+       "          70345.97 ,  69691.14 ],\n",
+       "        [ 67980.4  ,  67089.164,  66306.68 , ...,  71308.914,\n",
+       "          70093.02 ,  68981.945],\n",
+       "        ...,\n",
+       "        [102202.45 , 102432.55 , 102581.484, ..., 100930.625,\n",
+       "         101457.01 , 101879.375],\n",
+       "        [102613.   , 102698.89 , 102761.94 , ..., 102212.695,\n",
+       "         102369.51 , 102503.47 ],\n",
+       "        [102897.48 , 102901.41 , 102903.77 , ..., 102873.05 ,\n",
+       "         102883.29 , 102891.95 ]]], shape=(5, 64, 128), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.002224 0.002224 ... 0.007 0.0</div><input id='attrs-6623beac-4b66-4c6f-9bc8-03da694c9767' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6623beac-4b66-4c6f-9bc8-03da694c9767' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-756a3442-c612-4a8a-b33d-7cdd67d69cc0' class='xr-var-data-in' type='checkbox'><label for='data-756a3442-c612-4a8a-b33d-7cdd67d69cc0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[0.        , 0.00222387],\n",
+       "       [0.00222387, 0.00533729],\n",
+       "       [0.00533729, 0.00978502],\n",
+       "       [0.00978502, 0.01512229],\n",
+       "       [0.01512229, 0.02179391],\n",
+       "       [0.02179391, 0.02979981],\n",
+       "       [0.02979981, 0.03914007],\n",
+       "       [0.03914007, 0.04936986],\n",
+       "       [0.04936986, 0.06093399],\n",
+       "       [0.06093399, 0.07338764],\n",
+       "       [0.07338764, 0.08673083],\n",
+       "       [0.08673083, 0.10274269],\n",
+       "       [0.10274269, 0.12231271],\n",
+       "       [0.12231271, 0.14544096],\n",
+       "       [0.14544096, 0.17212737],\n",
+       "       [0.17212737, 0.20613031],\n",
+       "       [0.20613031, 0.23707318],\n",
+       "       [0.23707318, 0.26400867],\n",
+       "       [0.26400867, 0.28744824],\n",
+       "       [0.28744824, 0.30785001],\n",
+       "       [0.30785001, 0.26792999],\n",
+       "       [0.26792999, 0.23318001],\n",
+       "       [0.23318001, 0.20295   ],\n",
+       "       [0.20295   , 0.17663   ],\n",
+       "       [0.17663   , 0.15372   ],\n",
+       "       [0.15372   , 0.13379001],\n",
+       "       [0.13379001, 0.11643999],\n",
+       "       [0.11643999, 0.10134   ],\n",
+       "       [0.10134   , 0.0882    ],\n",
+       "       [0.0882    , 0.07676299],\n",
+       "       [0.07676299, 0.066809  ],\n",
+       "       [0.066809  , 0.058145  ],\n",
+       "       [0.058145  , 0.050475  ],\n",
+       "       [0.050475  , 0.043462  ],\n",
+       "       [0.043462  , 0.036917  ],\n",
+       "       [0.036917  , 0.030384  ],\n",
+       "       [0.030384  , 0.022927  ],\n",
+       "       [0.022927  , 0.014526  ],\n",
+       "       [0.014526  , 0.007     ],\n",
+       "       [0.007     , 0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.9928 0.9928 ... 0.0 0.0 0.0</div><input id='attrs-1e69a731-b859-4998-ac99-085d96822566' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e69a731-b859-4998-ac99-085d96822566' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03ce1c37-b143-4bb0-999c-cbb41d377747' class='xr-var-data-in' type='checkbox'><label for='data-03ce1c37-b143-4bb0-999c-cbb41d377747' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[1.        , 0.99277616],\n",
+       "       [0.99277616, 0.98266268],\n",
+       "       [0.98266268, 0.96821499],\n",
+       "       [0.96821499, 0.95087773],\n",
+       "       [0.95087773, 0.92920607],\n",
+       "       [0.92920607, 0.90320021],\n",
+       "       [0.90320021, 0.87285995],\n",
+       "       [0.87285995, 0.83963013],\n",
+       "       [0.83963013, 0.80206597],\n",
+       "       [0.80206597, 0.76161236],\n",
+       "       [0.76161236, 0.71826917],\n",
+       "       [0.71826917, 0.66625732],\n",
+       "       [0.66625732, 0.6026873 ],\n",
+       "       [0.6026873 , 0.52755904],\n",
+       "       [0.52755904, 0.44087261],\n",
+       "       [0.44087261, 0.33041969],\n",
+       "       [0.33041969, 0.22990683],\n",
+       "       [0.22990683, 0.14241131],\n",
+       "       [0.14241131, 0.06627177],\n",
+       "       [0.06627177, 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -86.58 -86.58 ... 86.58 90.0</div><input id='attrs-6bdb53f7-10a2-4b10-b216-e4e719be0204' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6bdb53f7-10a2-4b10-b216-e4e719be0204' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75a55c59-00f8-41d2-8b5e-2f18e21c28da' class='xr-var-data-in' type='checkbox'><label for='data-75a55c59-00f8-41d2-8b5e-2f18e21c28da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.        , -86.57774751],\n",
+       "       [-86.57774751, -83.75702878],\n",
+       "       [-83.75702878, -80.95502019],\n",
+       "       [-80.95502019, -78.15834785],\n",
+       "       [-78.15834785, -75.36393858],\n",
+       "       [-75.36393858, -72.5707002 ],\n",
+       "       [-72.5707002 , -69.77814617],\n",
+       "       [-69.77814617, -66.98602671],\n",
+       "       [-66.98602671, -64.19420036],\n",
+       "       [-64.19420036, -61.40258094],\n",
+       "       [-61.40258094, -58.61111296],\n",
+       "       [-58.61111296, -55.81975904],\n",
+       "       [-55.81975904, -53.02849308],\n",
+       "       [-53.02849308, -50.23729628],\n",
+       "       [-50.23729628, -47.44615476],\n",
+       "       [-47.44615476, -44.65505801],\n",
+       "       [-44.65505801, -41.86399795],\n",
+       "       [-41.86399795, -39.07296823],\n",
+       "       [-39.07296823, -36.28196381],\n",
+       "       [-36.28196381, -33.49098058],\n",
+       "...\n",
+       "       [ 33.49098058,  36.28196381],\n",
+       "       [ 36.28196381,  39.07296823],\n",
+       "       [ 39.07296823,  41.86399795],\n",
+       "       [ 41.86399795,  44.65505801],\n",
+       "       [ 44.65505801,  47.44615476],\n",
+       "       [ 47.44615476,  50.23729628],\n",
+       "       [ 50.23729628,  53.02849308],\n",
+       "       [ 53.02849308,  55.81975904],\n",
+       "       [ 55.81975904,  58.61111296],\n",
+       "       [ 58.61111296,  61.40258094],\n",
+       "       [ 61.40258094,  64.19420036],\n",
+       "       [ 64.19420036,  66.98602671],\n",
+       "       [ 66.98602671,  69.77814617],\n",
+       "       [ 69.77814617,  72.5707002 ],\n",
+       "       [ 72.5707002 ,  75.36393858],\n",
+       "       [ 75.36393858,  78.15834785],\n",
+       "       [ 78.15834785,  80.95502019],\n",
+       "       [ 80.95502019,  83.75702878],\n",
+       "       [ 83.75702878,  86.57774751],\n",
+       "       [ 86.57774751,  90.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.406 1.406 1.406 ... 355.8 358.6</div><input id='attrs-19468174-f9cf-460d-bb39-a32852a7ffca' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-19468174-f9cf-460d-bb39-a32852a7ffca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-683113ba-7db6-4cee-9fcd-fb8bf63a8ef2' class='xr-var-data-in' type='checkbox'><label for='data-683113ba-7db6-4cee-9fcd-fb8bf63a8ef2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -1.40625,   1.40625],\n",
+       "       [  1.40625,   4.21875],\n",
+       "       [  4.21875,   7.03125],\n",
+       "       [  7.03125,   9.84375],\n",
+       "       [  9.84375,  12.65625],\n",
+       "       [ 12.65625,  15.46875],\n",
+       "       [ 15.46875,  18.28125],\n",
+       "       [ 18.28125,  21.09375],\n",
+       "       [ 21.09375,  23.90625],\n",
+       "       [ 23.90625,  26.71875],\n",
+       "       [ 26.71875,  29.53125],\n",
+       "       [ 29.53125,  32.34375],\n",
+       "       [ 32.34375,  35.15625],\n",
+       "       [ 35.15625,  37.96875],\n",
+       "       [ 37.96875,  40.78125],\n",
+       "       [ 40.78125,  43.59375],\n",
+       "       [ 43.59375,  46.40625],\n",
+       "       [ 46.40625,  49.21875],\n",
+       "       [ 49.21875,  52.03125],\n",
+       "       [ 52.03125,  54.84375],\n",
+       "...\n",
+       "       [302.34375, 305.15625],\n",
+       "       [305.15625, 307.96875],\n",
+       "       [307.96875, 310.78125],\n",
+       "       [310.78125, 313.59375],\n",
+       "       [313.59375, 316.40625],\n",
+       "       [316.40625, 319.21875],\n",
+       "       [319.21875, 322.03125],\n",
+       "       [322.03125, 324.84375],\n",
+       "       [324.84375, 327.65625],\n",
+       "       [327.65625, 330.46875],\n",
+       "       [330.46875, 333.28125],\n",
+       "       [333.28125, 336.09375],\n",
+       "       [336.09375, 338.90625],\n",
+       "       [338.90625, 341.71875],\n",
+       "       [341.71875, 344.53125],\n",
+       "       [344.53125, 347.34375],\n",
+       "       [347.34375, 350.15625],\n",
+       "       [350.15625, 352.96875],\n",
+       "       [352.96875, 355.78125],\n",
+       "       [355.78125, 358.59375]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tnhusscpbl</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-c01e81fb-f531-4cd5-aef8-a377f7b9e39a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c01e81fb-f531-4cd5-aef8-a377f7b9e39a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e479cde2-9a22-44c5-af75-9b40babeb205' class='xr-var-data-in' type='checkbox'><label for='data-e479cde2-9a22-44c5-af75-9b40babeb205' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>tendency_of_specific_humidity_due_to_stratiform_cloud_and_precipitation_and_boundary_layer_mixing</dd><dt><span>long_name :</span></dt><dd>Tendency of Specific Humidity Due to Stratiform Cloud and Precipitation and Boundary Layer Mixing</dd><dt><span>comment :</span></dt><dd>Tendency of Specific Humidity Due to Stratiform Cloud and Precipitation and Boundary Layer Mixing  (to be specified only in  models which do not separate budget terms for stratiform cloud, precipitation and boundary layer schemes.  Includes all boundary layer terms including and diffusive terms.)</dd><dt><span>units :</span></dt><dd>s-1</dd><dt><span>original_name :</span></dt><dd>DQLSC</dd><dt><span>original_units :</span></dt><dd>1/s</dd><dt><span>history :</span></dt><dd>2020-08-15T22:41:28Z altered by CMOR: Converted units from &#x27;1/s&#x27; to &#x27;s-1&#x27;. 2020-08-15T22:41:28Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20). 2020-08-15T22:41:28Z altered by CMOR: Inverted axis: lat.</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
+       "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
+       "         [ 0.00000000e+00,  0.00000000e+00,  1.90706153e-12, ...,\n",
+       "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
+       "         [ 9.53530766e-13,  0.00000000e+00,  0.00000000e+00, ...,\n",
+       "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
+       "         ...,\n",
+       "         [-6.67471547e-12, -1.40169029e-10, -4.30042363e-10, ...,\n",
+       "          -8.20036469e-11, -2.11683823e-10, -8.29571759e-11],\n",
+       "         [-7.05612790e-10, -8.90597762e-10, -8.22897028e-10, ...,\n",
+       "          -3.45178136e-10, -5.94049643e-10, -6.19794993e-10],\n",
+       "         [ 5.24441914e-11,  7.43754017e-11,  8.86783633e-11, ...,\n",
+       "          -2.86059241e-12, -5.72118481e-12,  2.66988619e-11]],\n",
+       "\n",
+       "        [[ 6.86761628e-13,  0.00000000e+00,  6.86761628e-13, ...,\n",
+       "           0.00000000e+00,  1.37352326e-12,  0.00000000e+00],\n",
+       "         [-2.74704651e-12, -9.61466323e-12, -5.49409303e-12, ...,\n",
+       "          -6.18085444e-12, -4.12056977e-12, -6.86761628e-13],\n",
+       "         [-1.44219940e-11, -1.85425633e-11, -2.40366563e-11, ...,\n",
+       "          -1.09881861e-11, -1.03014246e-11,  2.74704651e-12],\n",
+       "...\n",
+       "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
+       "         [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
+       "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
+       "         [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
+       "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
+       "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
+       "         [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
+       "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
+       "         [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
+       "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
+       "         ...,\n",
+       "         [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
+       "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
+       "         [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
+       "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
+       "         [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
+       "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00]]]],\n",
+       "      shape=(5, 40, 64, 128), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-528f73ad-4c07-4562-9584-b26c6ee186a3' class='xr-section-summary-in' type='checkbox' checked /><label for='section-528f73ad-4c07-4562-9584-b26c6ee186a3' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(38)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>branch_method :</span></dt><dd>no parent</dd><dt><span>creation_date :</span></dt><dd>2020-08-15T22:41:28Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.28</dd><dt><span>experiment :</span></dt><dd>AMIP</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>2</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.MIROC.MIROC-ES2L.amip.none.r2i1p1f2</dd><dt><span>grid :</span></dt><dd>native atmosphere T42 Gaussian grid</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>history :</span></dt><dd>2020-08-15T22:41:28Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa 236-0001, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba 277-8564, Japan), NIES (National Institute for Environmental Studies, Ibaraki 305-8506, Japan), and R-CCS (RIKEN Center for Computational Science, Hyogo 650-0047, Japan)</dd><dt><span>institution_id :</span></dt><dd>MIROC</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>500 km</dd><dt><span>parent_activity_id :</span></dt><dd>no parent</dd><dt><span>parent_experiment_id :</span></dt><dd>no parent</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>2</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>source :</span></dt><dd>MIROC-ES2L (2018): \n",
+       "aerosol: SPRINTARS6.0\n",
+       "atmos: CCSR AGCM (T42; 128 x 64 longitude/latitude; 40 levels; top level 3 hPa)\n",
+       "atmosChem: none\n",
+       "land: MATSIRO6.0+VISIT-e ver.1.0\n",
+       "landIce: none\n",
+       "ocean: COCO4.9 (tripolar primarily 1deg; 360 x 256 longitude/latitude; 63 levels; top grid cell 0-2 m)\n",
+       "ocnBgchem: OECO ver.2.0; NPZD-type with C/N/P/Fe/O cycles\n",
+       "seaIce: COCO4.9</dd><dt><span>source_id :</span></dt><dd>MIROC-ES2L</dd><dt><span>source_type :</span></dt><dd>AGCM AER BGC</dd><dt><span>sub_experiment :</span></dt><dd>none</dd><dt><span>sub_experiment_id :</span></dt><dd>none</dd><dt><span>table_id :</span></dt><dd>CFmon</dd><dt><span>table_info :</span></dt><dd>Creation Date:(06 November 2018) MD5:af8da38b788c186666f15688d08f0197</dd><dt><span>title :</span></dt><dd>MIROC-ES2L output prepared for CMIP6</dd><dt><span>variable_id :</span></dt><dd>tnhusscpbl</dd><dt><span>variant_label :</span></dt><dd>r2i1p1f2</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by MIROC is licensed under a Creative Commons Attribution ShareAlike 4.0 International License (https://creativecommons.org/licenses/). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.3.2</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14100/f575a148-89c0-40d7-bdd5-b67e0f73cf4a</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 7MB\n",
+       "Dimensions:     (time: 5, bnds: 2, lev: 40, lat: 64, lon: 128)\n",
+       "Coordinates:\n",
+       "  * time        (time) float64 40B 15.5 45.0 74.5 105.0 135.5\n",
+       "  * lev         (lev) float64 320B 0.9975 0.9915 0.983 ... 0.0106 0.002905\n",
+       "  * lat         (lat) float64 512B -87.86 -85.1 -82.31 ... 82.31 85.1 87.86\n",
+       "  * lon         (lon) float64 1kB 0.0 2.812 5.625 8.438 ... 351.6 354.4 357.2\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds   (time, bnds) float64 80B 0.0 31.0 31.0 ... 120.0 120.0 151.0\n",
+       "    lev_bnds    (lev, bnds) float64 640B 1.0 0.995 0.995 ... 0.007 0.007 0.0\n",
+       "    p0          float64 8B 1e+05\n",
+       "    a           (lev) float64 320B 0.001113 0.003782 ... 0.0106 0.002905\n",
+       "    b           (lev) float64 320B 0.9964 0.9877 0.9754 0.9595 ... 0.0 0.0 0.0\n",
+       "    ps          (time, lat, lon) float32 164kB 6.951e+04 6.928e+04 ... 1.029e+05\n",
+       "    a_bnds      (lev, bnds) float64 640B 0.0 0.002224 0.002224 ... 0.007 0.0\n",
+       "    b_bnds      (lev, bnds) float64 640B 1.0 0.9928 0.9928 ... 0.0 0.0 0.0\n",
+       "    lat_bnds    (lat, bnds) float64 1kB -90.0 -86.58 -86.58 ... 86.58 86.58 90.0\n",
+       "    lon_bnds    (lon, bnds) float64 2kB -1.406 1.406 1.406 ... 355.8 355.8 358.6\n",
+       "    tnhusscpbl  (time, lev, lat, lon) float32 7MB 0.0 0.0 0.0 ... 0.0 0.0 0.0\n",
+       "Attributes:\n",
+       "    Conventions:           CF-1.7 CMIP-6.2\n",
+       "    activity_id:           CMIP\n",
+       "    branch_method:         no parent\n",
+       "    creation_date:         2020-08-15T22:41:28Z\n",
+       "    data_specs_version:    01.00.28\n",
+       "    experiment:            AMIP\n",
+       "    experiment_id:         amip\n",
+       "    external_variables:    areacella\n",
+       "    forcing_index:         2\n",
+       "    frequency:             mon\n",
+       "    further_info_url:      https://furtherinfo.es-doc.org/CMIP6.MIROC.MIROC-E...\n",
+       "    grid:                  native atmosphere T42 Gaussian grid\n",
+       "    grid_label:            gn\n",
+       "    history:               2020-08-15T22:41:28Z ; CMOR rewrote data to be con...\n",
+       "    initialization_index:  1\n",
+       "    institution:           JAMSTEC (Japan Agency for Marine-Earth Science and...\n",
+       "    institution_id:        MIROC\n",
+       "    mip_era:               CMIP6\n",
+       "    nominal_resolution:    500 km\n",
+       "    parent_activity_id:    no parent\n",
+       "    parent_experiment_id:  no parent\n",
+       "    physics_index:         1\n",
+       "    product:               model-output\n",
+       "    realization_index:     2\n",
+       "    realm:                 atmos\n",
+       "    source:                MIROC-ES2L (2018): \\naerosol: SPRINTARS6.0\\natmos:...\n",
+       "    source_id:             MIROC-ES2L\n",
+       "    source_type:           AGCM AER BGC\n",
+       "    sub_experiment:        none\n",
+       "    sub_experiment_id:     none\n",
+       "    table_id:              CFmon\n",
+       "    table_info:            Creation Date:(06 November 2018) MD5:af8da38b788c1...\n",
+       "    title:                 MIROC-ES2L output prepared for CMIP6\n",
+       "    variable_id:           tnhusscpbl\n",
+       "    variant_label:         r2i1p1f2\n",
+       "    license:               CMIP6 model data produced by MIROC is licensed und...\n",
+       "    cmor_version:          3.3.2\n",
+       "    tracking_id:           hdl:21.14100/f575a148-89c0-40d7-bdd5-b67e0f73cf4a"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "with xr.open_dataset(DATA_PATH, decode_times=False) as opened:\n",
+    "    source = opened.load()\n",
+    "\n",
+    "with xr.set_options(\n",
+    "    display_style=\"html\",\n",
+    "    display_expand_attrs=True,\n",
+    "    display_expand_coords=True,\n",
+    "    display_expand_data_vars=True,\n",
+    "    display_max_rows=80,\n",
+    "):\n",
+    "    display(source)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-30T19:33:33.267983Z",
+     "iopub.status.busy": "2026-05-30T19:33:33.267890Z",
+     "iopub.status.idle": "2026-05-30T19:33:33.273653Z",
+     "shell.execute_reply": "2026-05-30T19:33:33.273309Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(5, 40, 64, 128) (5, 64, 128)\n"
+     ]
+    }
+   ],
+   "source": [
+    "run_dir = Path(\"output\") / \"04_hybrid_sigma_humidity_tendency\"\n",
+    "if run_dir.exists():\n",
+    "    shutil.rmtree(run_dir)\n",
+    "output_dir = run_dir / \"cmor_output\"\n",
+    "output_dir.mkdir(parents=True)\n",
+    "\n",
+    "DATASET_INFO = {\n",
+    "    \"_AXIS_ENTRY_FILE\": \"CMIP7_coordinate.json\",\n",
+    "    \"_FORMULA_VAR_FILE\": \"CMIP7_formula_terms.json\",\n",
+    "    \"_cmip7_option\": 1,\n",
+    "    \"_controlled_vocabulary_file\": CV_PATH,\n",
+    "    \"activity_id\": \"CMIP\",\n",
+    "    \"calendar\": source[\"time\"].attrs.get(\"calendar\", \"standard\"),\n",
+    "    \"experiment_id\": \"amip\",\n",
+    "    \"forcing_index\": \"f3\",\n",
+    "    \"frequency\": \"mon\",\n",
+    "    \"grid_label\": \"g999\",\n",
+    "    \"host_collection\": \"CMIP7\",\n",
+    "    \"initialization_index\": \"i1\",\n",
+    "    \"institution_id\": \"CCCma\",\n",
+    "    \"license_id\": \"CC-BY-4.0\",\n",
+    "    \"nominal_resolution\": \"100 km\",\n",
+    "    \"outpath\": str(output_dir),\n",
+    "    \"physics_index\": \"p1\",\n",
+    "    \"realization_index\": \"r9\",\n",
+    "    \"region\": \"glb\",\n",
+    "    \"source_id\": \"DUMMY-MODEL\",\n",
+    "}\n",
+    "input_json = run_dir / \"input.json\"\n",
+    "input_json.write_text(json.dumps(DATASET_INFO, indent=2, sort_keys=True))\n",
+    "\n",
+    "lat = source[\"lat\"].values.astype(\"f8\")\n",
+    "lat_bnds = source[\"lat_bnds\"].values.astype(\"f8\")\n",
+    "lon = source[\"lon\"].values.astype(\"f8\")\n",
+    "lon_bnds = source[\"lon_bnds\"].values.astype(\"f8\")\n",
+    "time = source[\"time\"].values.astype(\"f8\")\n",
+    "time_bnds = source[\"time_bnds\"].values.astype(\"f8\")\n",
+    "time_units = source[\"time\"].attrs[\"units\"]\n",
+    "\n",
+    "lev = source[\"lev\"].values.astype(\"f8\")\n",
+    "lev_bnds = source[\"lev_bnds\"].values.astype(\"f8\")\n",
+    "a = source[\"a\"].values.astype(\"f8\")\n",
+    "a_bnds = source[\"a_bnds\"].values.astype(\"f8\")\n",
+    "b = source[\"b\"].values.astype(\"f8\")\n",
+    "b_bnds = source[\"b_bnds\"].values.astype(\"f8\")\n",
+    "p0 = np.array([float(source[\"p0\"].values)], dtype=\"f8\")\n",
+    "\n",
+    "missing_value = np.float32(1.0e20)\n",
+    "tnhusscpbl_source = source[\"tnhusscpbl\"].values.astype(\"f4\")\n",
+    "tnhusscpbl = np.where(np.isfinite(tnhusscpbl_source), tnhusscpbl_source, missing_value).astype(\"f4\")\n",
+    "ps = source[\"ps\"].values.astype(\"f4\")\n",
+    "\n",
+    "print(tnhusscpbl.shape, ps.shape)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-30T19:33:33.274752Z",
+     "iopub.status.busy": "2026-05-30T19:33:33.274681Z",
+     "iopub.status.idle": "2026-05-30T19:33:33.431334Z",
+     "shell.execute_reply": "2026-05-30T19:33:33.430987Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "output/04_hybrid_sigma_humidity_tendency/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tnhusscpbl/tavg-al-hxy-u/g999/v20260530/tnhusscpbl_tavg-al-hxy-u_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_197901-197905.nc\n"
+     ]
+    }
+   ],
+   "source": [
+    "cmor.setup(\n",
+    "    inpath=TABLES_DIR,\n",
+    "    netcdf_file_action=cmor.CMOR_REPLACE,\n",
+    "    logfile=str(run_dir / \"cmor.log\"),\n",
+    ")\n",
+    "cmor.dataset_json(str(input_json))\n",
+    "cmor.load_table(\"CMIP7_atmos.json\")\n",
+    "\n",
+    "time_id = cmor.axis(\"time\", coord_vals=time, cell_bounds=time_bnds, units=time_units)\n",
+    "lev_id = cmor.axis(\"standard_hybrid_sigma\", coord_vals=lev, cell_bounds=lev_bnds, units=\"1\")\n",
+    "lat_id = cmor.axis(\"latitude\", coord_vals=lat, cell_bounds=lat_bnds, units=\"degrees_north\")\n",
+    "lon_id = cmor.axis(\"longitude\", coord_vals=lon, cell_bounds=lon_bnds, units=\"degrees_east\")\n",
+    "\n",
+    "cmor.zfactor(zaxis_id=lev_id, zfactor_name=\"a\", axis_ids=[lev_id], zfactor_values=a, zfactor_bounds=a_bnds)\n",
+    "cmor.zfactor(zaxis_id=lev_id, zfactor_name=\"b\", axis_ids=[lev_id], zfactor_values=b, zfactor_bounds=b_bnds)\n",
+    "cmor.zfactor(zaxis_id=lev_id, zfactor_name=\"p0\", units=\"Pa\", zfactor_values=p0)\n",
+    "ps_id = cmor.zfactor(zaxis_id=lev_id, zfactor_name=\"ps\", axis_ids=[time_id, lat_id, lon_id], units=\"Pa\")\n",
+    "\n",
+    "variable_name = \"tnhusscpbl_tavg-al-hxy-u\"\n",
+    "tnhusscpbl_id = cmor.variable(variable_name, \"s-1\", [time_id, lev_id, lat_id, lon_id], missing_value=missing_value)\n",
+    "compound_name = \".\".join([\"atmos\"] + variable_name.split(\"_\") + [\"mon\", \"glb\"])\n",
+    "\n",
+    "with open(Path(TABLES_DIR) / \"CMIP7_cell_measures.json\") as handle:\n",
+    "    cell_measure = json.load(handle)[\"cell_measures\"].get(compound_name)\n",
+    "if cell_measure:\n",
+    "    cmor.set_variable_attribute(tnhusscpbl_id, \"cell_measures\", \"c\", cell_measure)\n",
+    "\n",
+    "with open(Path(TABLES_DIR) / \"CMIP7_long_name_overrides.json\") as handle:\n",
+    "    long_name = json.load(handle)[\"long_name_overrides\"].get(compound_name)\n",
+    "if long_name:\n",
+    "    cmor.set_variable_attribute(tnhusscpbl_id, \"long_name\", \"c\", long_name)\n",
+    "\n",
+    "cmor.write(tnhusscpbl_id, tnhusscpbl)\n",
+    "cmor.write(ps_id, ps, store_with=tnhusscpbl_id)\n",
+    "netcdf_path = Path(cmor.close(tnhusscpbl_id, file_name=True))\n",
+    "cmor.close()\n",
+    "\n",
+    "print(netcdf_path.resolve().relative_to(Path.cwd().resolve()))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-30T19:33:33.432755Z",
+     "iopub.status.busy": "2026-05-30T19:33:33.432676Z",
+     "iopub.status.idle": "2026-05-30T19:33:33.471317Z",
+     "shell.execute_reply": "2026-05-30T19:33:33.470810Z"
+    }
+   },
+   "outputs": [
+    {
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+       "  color: var(--xr-font-color2);\n",
+       "  letter-spacing: 0.15em;\n",
+       "  cursor: default;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 7MB\n",
+       "Dimensions:     (time: 5, bnds: 2, lev: 40, lat: 64, lon: 128)\n",
+       "Coordinates:\n",
+       "  * time        (time) float64 40B 15.5 45.0 74.5 105.0 135.5\n",
+       "  * lev         (lev) float64 320B 0.9975 0.9915 0.983 ... 0.0106 0.002905\n",
+       "  * lat         (lat) float64 512B -87.86 -85.1 -82.31 ... 82.31 85.1 87.86\n",
+       "  * lon         (lon) float64 1kB 0.0 2.812 5.625 8.438 ... 351.6 354.4 357.2\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds   (time, bnds) float64 80B 0.0 31.0 31.0 ... 120.0 120.0 151.0\n",
+       "    lev_bnds    (lev, bnds) float64 640B 1.0 0.995 0.995 ... 0.007 0.007 0.0\n",
+       "    p0          float64 8B 1e+05\n",
+       "    a           (lev) float64 320B 0.001113 0.003782 ... 0.0106 0.002905\n",
+       "    b           (lev) float64 320B 0.9964 0.9877 0.9754 0.9595 ... 0.0 0.0 0.0\n",
+       "    ps          (time, lat, lon) float32 164kB 6.951e+04 6.928e+04 ... 1.029e+05\n",
+       "    a_bnds      (lev, bnds) float64 640B 0.0 0.002224 0.002224 ... 0.007 0.0\n",
+       "    b_bnds      (lev, bnds) float64 640B 1.0 0.9928 0.9928 ... 0.0 0.0 0.0\n",
+       "    lat_bnds    (lat, bnds) float64 1kB -90.0 -86.58 -86.58 ... 86.58 86.58 90.0\n",
+       "    lon_bnds    (lon, bnds) float64 2kB -1.406 1.406 1.406 ... 355.8 355.8 358.6\n",
+       "    tnhusscpbl  (time, lev, lat, lon) float32 7MB 0.0 0.0 0.0 ... 0.0 0.0 0.0\n",
+       "Attributes:\n",
+       "    Conventions:           CF-1.12\n",
+       "    activity_id:           CMIP\n",
+       "    area_label:            u\n",
+       "    branded_variable:      tnhusscpbl_tavg-al-hxy-u\n",
+       "    branding_suffix:       tavg-al-hxy-u\n",
+       "    creation_date:         2026-05-30T19:33:33Z\n",
+       "    data_specs_version:    MIP-DS7.1.0.0\n",
+       "    description:           Simulation of the climate of the recent past with ...\n",
+       "    drs_specs:             MIP-DRS7\n",
+       "    experiment:            Simulation of the climate of the recent past with ...\n",
+       "    experiment_id:         amip\n",
+       "    external_variables:    areacella\n",
+       "    forcing_index:         f3\n",
+       "    frequency:             mon\n",
+       "    grid_label:            g999\n",
+       "    history:               2026-05-30T19:33:33Z ; CMOR rewrote data to be con...\n",
+       "    horizontal_label:      hxy\n",
+       "    host_collection:       CMIP7\n",
+       "    initialization_index:  i1\n",
+       "    institution:           Environment and Climate Change Canada\n",
+       "    institution_id:        CCCma\n",
+       "    license_id:            CC-BY-4.0\n",
+       "    mip_era:               CMIP7\n",
+       "    nominal_resolution:    100 km\n",
+       "    physics_index:         p1\n",
+       "    product:               model-output\n",
+       "    realization_index:     r9\n",
+       "    realm:                 atmos\n",
+       "    region:                glb\n",
+       "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
+       "    source_id:             DUMMY-MODEL\n",
+       "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
+       "    temporal_label:        tavg\n",
+       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
+       "    variable_id:           tnhusscpbl\n",
+       "    variant_label:         r9i1p1f3\n",
+       "    vertical_label:        al\n",
+       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+       "    cmor_version:          3.15.1\n",
+       "    tracking_id:           hdl:21.14107/646505af-8ff3-4d2e-bd1b-289a64341682</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-130919dc-7579-4920-9c3e-9c28f22cfd1e' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-130919dc-7579-4920-9c3e-9c28f22cfd1e' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 5</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lev</span>: 40</li><li><span class='xr-has-index'>lat</span>: 64</li><li><span class='xr-has-index'>lon</span>: 128</li></ul></div></li><li class='xr-section-item'><input id='section-ed4b016c-fa4d-418b-b724-4f0b2c2ce741' class='xr-section-summary-in' type='checkbox' checked /><label for='section-ed4b016c-fa4d-418b-b724-4f0b2c2ce741' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.5 45.0 74.5 105.0 135.5</div><input id='attrs-1ada68c1-0e7f-4497-9f36-5b6f3f924d2e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ada68c1-0e7f-4497-9f36-5b6f3f924d2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0491e252-9613-4341-b1cd-2253b689e2b3' class='xr-var-data-in' type='checkbox'><label for='data-0491e252-9613-4341-b1cd-2253b689e2b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1979-1-1</dd><dt><span>calendar :</span></dt><dd>gregorian</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([ 15.5,  45. ,  74.5, 105. , 135.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9975 0.9915 ... 0.0106 0.002905</div><input id='attrs-e669ace6-9077-4986-8a90-3aa338d4afdb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e669ace6-9077-4986-8a90-3aa338d4afdb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ccc0b73-67e7-4b23-8cd9-6f2a615c8ebe' class='xr-var-data-in' type='checkbox'><label for='data-8ccc0b73-67e7-4b23-8cd9-6f2a615c8ebe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lev_bnds</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>hybrid sigma pressure coordinate</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a b: b ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([0.997499, 0.991499, 0.982997, 0.971996, 0.958493, 0.94199 , 0.922486,\n",
+       "       0.900483, 0.875977, 0.848972, 0.819967, 0.786951, 0.746923, 0.698885,\n",
+       "       0.642833, 0.574472, 0.501478, 0.43645 , 0.379852, 0.330596, 0.287725,\n",
+       "       0.250411, 0.21794 , 0.189681, 0.16508 , 0.143673, 0.125043, 0.108828,\n",
+       "       0.094716, 0.082434, 0.071745, 0.062441, 0.054278, 0.046937, 0.040158,\n",
+       "       0.033613, 0.026593, 0.018613, 0.010603, 0.002905])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-87.86 -85.1 -82.31 ... 85.1 87.86</div><input id='attrs-3b5677ff-3a8c-4392-a3d5-dca18eabdd39' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b5677ff-3a8c-4392-a3d5-dca18eabdd39' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94edaeac-aba1-4929-a6e1-270f1df5ba21' class='xr-var-data-in' type='checkbox'><label for='data-94edaeac-aba1-4929-a6e1-270f1df5ba21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-87.863799, -85.096527, -82.312913, -79.525607, -76.7369  , -73.947515,\n",
+       "       -71.157752, -68.367756, -65.577607, -62.787352, -59.99702 , -57.206632,\n",
+       "       -54.4162  , -51.625734, -48.835241, -46.044727, -43.254195, -40.463648,\n",
+       "       -37.67309 , -34.882521, -32.091944, -29.30136 , -26.510769, -23.720174,\n",
+       "       -20.929574, -18.138971, -15.348365, -12.557756,  -9.767146,  -6.976534,\n",
+       "        -4.185921,  -1.395307,   1.395307,   4.185921,   6.976534,   9.767146,\n",
+       "        12.557756,  15.348365,  18.138971,  20.929574,  23.720174,  26.510769,\n",
+       "        29.30136 ,  32.091944,  34.882521,  37.67309 ,  40.463648,  43.254195,\n",
+       "        46.044727,  48.835241,  51.625734,  54.4162  ,  57.206632,  59.99702 ,\n",
+       "        62.787352,  65.577607,  68.367756,  71.157752,  73.947515,  76.7369  ,\n",
+       "        79.525607,  82.312913,  85.096527,  87.863799])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.812 5.625 ... 354.4 357.2</div><input id='attrs-4e41b5e7-d49c-417b-b144-dfcb511b6008' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e41b5e7-d49c-417b-b144-dfcb511b6008' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2529e27-c2d1-4ad8-b5ef-37a3aa0fa80b' class='xr-var-data-in' type='checkbox'><label for='data-e2529e27-c2d1-4ad8-b5ef-37a3aa0fa80b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.    ,   2.8125,   5.625 ,   8.4375,  11.25  ,  14.0625,  16.875 ,\n",
+       "        19.6875,  22.5   ,  25.3125,  28.125 ,  30.9375,  33.75  ,  36.5625,\n",
+       "        39.375 ,  42.1875,  45.    ,  47.8125,  50.625 ,  53.4375,  56.25  ,\n",
+       "        59.0625,  61.875 ,  64.6875,  67.5   ,  70.3125,  73.125 ,  75.9375,\n",
+       "        78.75  ,  81.5625,  84.375 ,  87.1875,  90.    ,  92.8125,  95.625 ,\n",
+       "        98.4375, 101.25  , 104.0625, 106.875 , 109.6875, 112.5   , 115.3125,\n",
+       "       118.125 , 120.9375, 123.75  , 126.5625, 129.375 , 132.1875, 135.    ,\n",
+       "       137.8125, 140.625 , 143.4375, 146.25  , 149.0625, 151.875 , 154.6875,\n",
+       "       157.5   , 160.3125, 163.125 , 165.9375, 168.75  , 171.5625, 174.375 ,\n",
+       "       177.1875, 180.    , 182.8125, 185.625 , 188.4375, 191.25  , 194.0625,\n",
+       "       196.875 , 199.6875, 202.5   , 205.3125, 208.125 , 210.9375, 213.75  ,\n",
+       "       216.5625, 219.375 , 222.1875, 225.    , 227.8125, 230.625 , 233.4375,\n",
+       "       236.25  , 239.0625, 241.875 , 244.6875, 247.5   , 250.3125, 253.125 ,\n",
+       "       255.9375, 258.75  , 261.5625, 264.375 , 267.1875, 270.    , 272.8125,\n",
+       "       275.625 , 278.4375, 281.25  , 284.0625, 286.875 , 289.6875, 292.5   ,\n",
+       "       295.3125, 298.125 , 300.9375, 303.75  , 306.5625, 309.375 , 312.1875,\n",
+       "       315.    , 317.8125, 320.625 , 323.4375, 326.25  , 329.0625, 331.875 ,\n",
+       "       334.6875, 337.5   , 340.3125, 343.125 , 345.9375, 348.75  , 351.5625,\n",
+       "       354.375 , 357.1875])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-70d5e89f-ed85-48dd-b3d5-dd465517d76e' class='xr-section-summary-in' type='checkbox' checked /><label for='section-70d5e89f-ed85-48dd-b3d5-dd465517d76e' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 31.0 31.0 ... 120.0 120.0 151.0</div><input id='attrs-89eca149-31fa-4ea3-a304-b8766f366c9e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-89eca149-31fa-4ea3-a304-b8766f366c9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89602561-e439-4ff7-a97b-b259e2bd6f65' class='xr-var-data-in' type='checkbox'><label for='data-89602561-e439-4ff7-a97b-b259e2bd6f65' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  31.],\n",
+       "       [ 31.,  59.],\n",
+       "       [ 59.,  90.],\n",
+       "       [ 90., 120.],\n",
+       "       [120., 151.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lev_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.995 0.995 ... 0.007 0.007 0.0</div><input id='attrs-1fa2555e-48c1-4230-a67f-203393e72070' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1fa2555e-48c1-4230-a67f-203393e72070' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16ca37a3-d97b-4b53-84a4-a713cb8a9910' class='xr-var-data-in' type='checkbox'><label for='data-16ca37a3-d97b-4b53-84a4-a713cb8a9910' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a_bnds b: b_bnds ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([[1.        , 0.995     ],\n",
+       "       [0.995     , 0.98799998],\n",
+       "       [0.98799998, 0.97799999],\n",
+       "       [0.97799999, 0.96600002],\n",
+       "       [0.96600002, 0.95099998],\n",
+       "       [0.95099998, 0.93300003],\n",
+       "       [0.93300003, 0.912     ],\n",
+       "       [0.912     , 0.889     ],\n",
+       "       [0.889     , 0.86299998],\n",
+       "       [0.86299998, 0.83499998],\n",
+       "       [0.83499998, 0.80500001],\n",
+       "       [0.80500001, 0.76899999],\n",
+       "       [0.76899999, 0.72500002],\n",
+       "       [0.72500002, 0.67299998],\n",
+       "       [0.67299998, 0.61299998],\n",
+       "       [0.61299998, 0.53654999],\n",
+       "       [0.53654999, 0.46698001],\n",
+       "       [0.46698001, 0.40641999],\n",
+       "       [0.40641999, 0.35372001],\n",
+       "       [0.35372001, 0.30785   ],\n",
+       "       [0.30785   , 0.26793   ],\n",
+       "       [0.26793   , 0.23318   ],\n",
+       "       [0.23318   , 0.20295   ],\n",
+       "       [0.20295   , 0.17663001],\n",
+       "       [0.17663001, 0.15372001],\n",
+       "       [0.15372001, 0.13379   ],\n",
+       "       [0.13379   , 0.11644   ],\n",
+       "       [0.11644   , 0.10134   ],\n",
+       "       [0.10134   , 0.0882    ],\n",
+       "       [0.0882    , 0.076763  ],\n",
+       "       [0.076763  , 0.066809  ],\n",
+       "       [0.066809  , 0.058145  ],\n",
+       "       [0.058145  , 0.050475  ],\n",
+       "       [0.050475  , 0.043462  ],\n",
+       "       [0.043462  , 0.036917  ],\n",
+       "       [0.036917  , 0.030384  ],\n",
+       "       [0.030384  , 0.022927  ],\n",
+       "       [0.022927  , 0.014526  ],\n",
+       "       [0.014526  , 0.007     ],\n",
+       "       [0.007     , 0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p0</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05</div><input id='attrs-da902c96-c7c1-48aa-a97c-7db58a1572a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da902c96-c7c1-48aa-a97c-7db58a1572a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a944a76d-b060-4db2-a9b6-87b95b41577b' class='xr-var-data-in' type='checkbox'><label for='data-a944a76d-b060-4db2-a9b6-87b95b41577b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>reference_air_pressure_for_atmosphere_vertical_coordinate</dd><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: reference pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array(100000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.001113 0.003782 ... 0.002905</div><input id='attrs-af987132-ecca-4ae6-ba87-8696dcc00652' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af987132-ecca-4ae6-ba87-8696dcc00652' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe086249-9d44-40c2-93ad-35bbdc05d8ac' class='xr-var-data-in' type='checkbox'><label for='data-fe086249-9d44-40c2-93ad-35bbdc05d8ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a</dd></dl></div><div class='xr-var-data'><pre>array([0.00111275, 0.00378219, 0.0075645 , 0.01245857, 0.01846599,\n",
+       "       0.0258086 , 0.03448657, 0.04427587, 0.05518012, 0.06719563,\n",
+       "       0.08010215, 0.09480408, 0.11264021, 0.13405917, 0.15908005,\n",
+       "       0.18977115, 0.22239427, 0.2515278 , 0.27720865, 0.30309604,\n",
+       "       0.2877251 , 0.25041144, 0.21794017, 0.18968127, 0.16508035,\n",
+       "       0.1436727 , 0.12504333, 0.10882762, 0.09471573, 0.08243426,\n",
+       "       0.07174488, 0.06244121, 0.05427773, 0.04693731, 0.04015774,\n",
+       "       0.03361269, 0.02659318, 0.01861324, 0.01060254, 0.00290465])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9964 0.9877 0.9754 ... 0.0 0.0</div><input id='attrs-022cf6b4-9b57-45da-8b76-dd0137fae147' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-022cf6b4-9b57-45da-8b76-dd0137fae147' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62cbddb7-388c-4a52-9eff-4f4441639b76' class='xr-var-data-in' type='checkbox'><label for='data-62cbddb7-388c-4a52-9eff-4f4441639b76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b</dd></dl></div><div class='xr-var-data'><pre>array([0.99638653, 0.98771632, 0.97543246, 0.95953703, 0.940027  ,\n",
+       "       0.91618115, 0.88799924, 0.85620666, 0.82079691, 0.78177685,\n",
+       "       0.73986518, 0.6921469 , 0.63428265, 0.56482565, 0.48375323,\n",
+       "       0.38470095, 0.27908337, 0.18492202, 0.10264368, 0.02749949,\n",
+       "       0.        , 0.        , 0.        , 0.        , 0.        ,\n",
+       "       0.        , 0.        , 0.        , 0.        , 0.        ,\n",
+       "       0.        , 0.        , 0.        , 0.        , 0.        ,\n",
+       "       0.        , 0.        , 0.        , 0.        , 0.        ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ps</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>6.951e+04 6.928e+04 ... 1.029e+05</div><input id='attrs-6036487a-10a2-4d23-a147-892db5edd703' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6036487a-10a2-4d23-a147-892db5edd703' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d1c4c8d-aa06-4958-a68a-565983e1f02f' class='xr-var-data-in' type='checkbox'><label for='data-3d1c4c8d-aa06-4958-a68a-565983e1f02f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>long_name :</span></dt><dd>Surface Air Pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array([[[ 69506.68 ,  69276.34 ,  69050.01 , ...,  70217.68 ,\n",
+       "          69978.55 ,  69741.01 ],\n",
+       "        [ 70131.305,  69566.664,  69032.41 , ...,  71992.38 ,\n",
+       "          71346.164,  70724.734],\n",
+       "        [ 69113.99 ,  68264.625,  67517.63 , ...,  72280.305,\n",
+       "          71123.83 ,  70067.32 ],\n",
+       "        ...,\n",
+       "        [102419.91 , 102623.85 , 102737.43 , ..., 101161.06 ,\n",
+       "         101695.31 , 102113.6  ],\n",
+       "        [102910.98 , 102975.76 , 103014.15 , ..., 102552.67 ,\n",
+       "         102699.84 , 102819.8  ],\n",
+       "        [103155.71 , 103150.11 , 103142.12 , ..., 103156.51 ,\n",
+       "         103158.11 , 103158.11 ]],\n",
+       "\n",
+       "       [[ 69910.48 ,  69675.164,  69443.82 , ...,  70634.72 ,\n",
+       "          70390.66 ,  70148.98 ],\n",
+       "        [ 70598.14 ,  70024.96 ,  69482.77 , ...,  72486.24 ,\n",
+       "          71830.375,  71200.74 ],\n",
+       "        [ 69574.2  ,  68708.46 ,  67946.86 , ...,  72802.64 ,\n",
+       "          71624.48 ,  70547.266],\n",
+       "...\n",
+       "        [103368.234, 103566.87 , 103678.21 , ..., 102154.016,\n",
+       "         102668.21 , 103071.89 ],\n",
+       "        [103760.7  , 103823.17 , 103862.43 , ..., 103417.9  ,\n",
+       "         103558.07 , 103672.59 ],\n",
+       "        [103979.36 , 103973.76 , 103965.75 , ..., 103981.766,\n",
+       "         103983.36 , 103982.555]],\n",
+       "\n",
+       "       [[ 68441.375,  68197.09 ,  67957.55 , ...,  69196.28 ,\n",
+       "          68941.76 ,  68690.39 ],\n",
+       "        [ 69065.47 ,  68471.32 ,  67908.69 , ...,  71029.17 ,\n",
+       "          70345.97 ,  69691.14 ],\n",
+       "        [ 67980.4  ,  67089.164,  66306.68 , ...,  71308.914,\n",
+       "          70093.02 ,  68981.945],\n",
+       "        ...,\n",
+       "        [102202.45 , 102432.55 , 102581.484, ..., 100930.625,\n",
+       "         101457.01 , 101879.375],\n",
+       "        [102613.   , 102698.89 , 102761.94 , ..., 102212.695,\n",
+       "         102369.51 , 102503.47 ],\n",
+       "        [102897.48 , 102901.41 , 102903.77 , ..., 102873.05 ,\n",
+       "         102883.29 , 102891.95 ]]], shape=(5, 64, 128), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.002224 0.002224 ... 0.007 0.0</div><input id='attrs-d7e073d9-69f3-4d9b-8cc7-a2b8c7b949e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7e073d9-69f3-4d9b-8cc7-a2b8c7b949e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-542a4c35-c7f4-4a04-8d92-c7dd8b5c8ebe' class='xr-var-data-in' type='checkbox'><label for='data-542a4c35-c7f4-4a04-8d92-c7dd8b5c8ebe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[0.        , 0.00222387],\n",
+       "       [0.00222387, 0.00533729],\n",
+       "       [0.00533729, 0.00978502],\n",
+       "       [0.00978502, 0.01512229],\n",
+       "       [0.01512229, 0.02179391],\n",
+       "       [0.02179391, 0.02979981],\n",
+       "       [0.02979981, 0.03914007],\n",
+       "       [0.03914007, 0.04936986],\n",
+       "       [0.04936986, 0.06093399],\n",
+       "       [0.06093399, 0.07338764],\n",
+       "       [0.07338764, 0.08673083],\n",
+       "       [0.08673083, 0.10274269],\n",
+       "       [0.10274269, 0.12231271],\n",
+       "       [0.12231271, 0.14544096],\n",
+       "       [0.14544096, 0.17212737],\n",
+       "       [0.17212737, 0.20613031],\n",
+       "       [0.20613031, 0.23707318],\n",
+       "       [0.23707318, 0.26400867],\n",
+       "       [0.26400867, 0.28744824],\n",
+       "       [0.28744824, 0.30785001],\n",
+       "       [0.30785001, 0.26792999],\n",
+       "       [0.26792999, 0.23318001],\n",
+       "       [0.23318001, 0.20295   ],\n",
+       "       [0.20295   , 0.17663   ],\n",
+       "       [0.17663   , 0.15372   ],\n",
+       "       [0.15372   , 0.13379001],\n",
+       "       [0.13379001, 0.11643999],\n",
+       "       [0.11643999, 0.10134   ],\n",
+       "       [0.10134   , 0.0882    ],\n",
+       "       [0.0882    , 0.07676299],\n",
+       "       [0.07676299, 0.066809  ],\n",
+       "       [0.066809  , 0.058145  ],\n",
+       "       [0.058145  , 0.050475  ],\n",
+       "       [0.050475  , 0.043462  ],\n",
+       "       [0.043462  , 0.036917  ],\n",
+       "       [0.036917  , 0.030384  ],\n",
+       "       [0.030384  , 0.022927  ],\n",
+       "       [0.022927  , 0.014526  ],\n",
+       "       [0.014526  , 0.007     ],\n",
+       "       [0.007     , 0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.9928 0.9928 ... 0.0 0.0 0.0</div><input id='attrs-37cebea0-10c7-4658-ab79-02bf733dce61' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37cebea0-10c7-4658-ab79-02bf733dce61' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3369f1e-dd87-45a7-bc0c-56987c157872' class='xr-var-data-in' type='checkbox'><label for='data-f3369f1e-dd87-45a7-bc0c-56987c157872' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[1.        , 0.99277616],\n",
+       "       [0.99277616, 0.98266268],\n",
+       "       [0.98266268, 0.96821499],\n",
+       "       [0.96821499, 0.95087773],\n",
+       "       [0.95087773, 0.92920607],\n",
+       "       [0.92920607, 0.90320021],\n",
+       "       [0.90320021, 0.87285995],\n",
+       "       [0.87285995, 0.83963013],\n",
+       "       [0.83963013, 0.80206597],\n",
+       "       [0.80206597, 0.76161236],\n",
+       "       [0.76161236, 0.71826917],\n",
+       "       [0.71826917, 0.66625732],\n",
+       "       [0.66625732, 0.6026873 ],\n",
+       "       [0.6026873 , 0.52755904],\n",
+       "       [0.52755904, 0.44087261],\n",
+       "       [0.44087261, 0.33041969],\n",
+       "       [0.33041969, 0.22990683],\n",
+       "       [0.22990683, 0.14241131],\n",
+       "       [0.14241131, 0.06627177],\n",
+       "       [0.06627177, 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ],\n",
+       "       [0.        , 0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -86.58 -86.58 ... 86.58 90.0</div><input id='attrs-ff54ea20-5d3d-4921-aca2-d6123cf41022' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ff54ea20-5d3d-4921-aca2-d6123cf41022' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-841b0da5-a2f8-48d3-ab1b-d3dbe3f3f884' class='xr-var-data-in' type='checkbox'><label for='data-841b0da5-a2f8-48d3-ab1b-d3dbe3f3f884' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.        , -86.57774751],\n",
+       "       [-86.57774751, -83.75702878],\n",
+       "       [-83.75702878, -80.95502019],\n",
+       "       [-80.95502019, -78.15834785],\n",
+       "       [-78.15834785, -75.36393858],\n",
+       "       [-75.36393858, -72.5707002 ],\n",
+       "       [-72.5707002 , -69.77814617],\n",
+       "       [-69.77814617, -66.98602671],\n",
+       "       [-66.98602671, -64.19420036],\n",
+       "       [-64.19420036, -61.40258094],\n",
+       "       [-61.40258094, -58.61111296],\n",
+       "       [-58.61111296, -55.81975904],\n",
+       "       [-55.81975904, -53.02849308],\n",
+       "       [-53.02849308, -50.23729628],\n",
+       "       [-50.23729628, -47.44615476],\n",
+       "       [-47.44615476, -44.65505801],\n",
+       "       [-44.65505801, -41.86399795],\n",
+       "       [-41.86399795, -39.07296823],\n",
+       "       [-39.07296823, -36.28196381],\n",
+       "       [-36.28196381, -33.49098058],\n",
+       "...\n",
+       "       [ 33.49098058,  36.28196381],\n",
+       "       [ 36.28196381,  39.07296823],\n",
+       "       [ 39.07296823,  41.86399795],\n",
+       "       [ 41.86399795,  44.65505801],\n",
+       "       [ 44.65505801,  47.44615476],\n",
+       "       [ 47.44615476,  50.23729628],\n",
+       "       [ 50.23729628,  53.02849308],\n",
+       "       [ 53.02849308,  55.81975904],\n",
+       "       [ 55.81975904,  58.61111296],\n",
+       "       [ 58.61111296,  61.40258094],\n",
+       "       [ 61.40258094,  64.19420036],\n",
+       "       [ 64.19420036,  66.98602671],\n",
+       "       [ 66.98602671,  69.77814617],\n",
+       "       [ 69.77814617,  72.5707002 ],\n",
+       "       [ 72.5707002 ,  75.36393858],\n",
+       "       [ 75.36393858,  78.15834785],\n",
+       "       [ 78.15834785,  80.95502019],\n",
+       "       [ 80.95502019,  83.75702878],\n",
+       "       [ 83.75702878,  86.57774751],\n",
+       "       [ 86.57774751,  90.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.406 1.406 1.406 ... 355.8 358.6</div><input id='attrs-06c3b9d6-7d2d-4e6f-82f4-6bb8afbb6fde' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-06c3b9d6-7d2d-4e6f-82f4-6bb8afbb6fde' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec107bfe-0389-4490-99f2-54f78d781f32' class='xr-var-data-in' type='checkbox'><label for='data-ec107bfe-0389-4490-99f2-54f78d781f32' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -1.40625,   1.40625],\n",
+       "       [  1.40625,   4.21875],\n",
+       "       [  4.21875,   7.03125],\n",
+       "       [  7.03125,   9.84375],\n",
+       "       [  9.84375,  12.65625],\n",
+       "       [ 12.65625,  15.46875],\n",
+       "       [ 15.46875,  18.28125],\n",
+       "       [ 18.28125,  21.09375],\n",
+       "       [ 21.09375,  23.90625],\n",
+       "       [ 23.90625,  26.71875],\n",
+       "       [ 26.71875,  29.53125],\n",
+       "       [ 29.53125,  32.34375],\n",
+       "       [ 32.34375,  35.15625],\n",
+       "       [ 35.15625,  37.96875],\n",
+       "       [ 37.96875,  40.78125],\n",
+       "       [ 40.78125,  43.59375],\n",
+       "       [ 43.59375,  46.40625],\n",
+       "       [ 46.40625,  49.21875],\n",
+       "       [ 49.21875,  52.03125],\n",
+       "       [ 52.03125,  54.84375],\n",
+       "...\n",
+       "       [302.34375, 305.15625],\n",
+       "       [305.15625, 307.96875],\n",
+       "       [307.96875, 310.78125],\n",
+       "       [310.78125, 313.59375],\n",
+       "       [313.59375, 316.40625],\n",
+       "       [316.40625, 319.21875],\n",
+       "       [319.21875, 322.03125],\n",
+       "       [322.03125, 324.84375],\n",
+       "       [324.84375, 327.65625],\n",
+       "       [327.65625, 330.46875],\n",
+       "       [330.46875, 333.28125],\n",
+       "       [333.28125, 336.09375],\n",
+       "       [336.09375, 338.90625],\n",
+       "       [338.90625, 341.71875],\n",
+       "       [341.71875, 344.53125],\n",
+       "       [344.53125, 347.34375],\n",
+       "       [347.34375, 350.15625],\n",
+       "       [350.15625, 352.96875],\n",
+       "       [352.96875, 355.78125],\n",
+       "       [355.78125, 358.59375]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tnhusscpbl</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-99a82aa0-3ec9-424a-9f8b-d6ad5f989db9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99a82aa0-3ec9-424a-9f8b-d6ad5f989db9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e66247d-d7ed-45cd-9162-8c8cd1fc3a65' class='xr-var-data-in' type='checkbox'><label for='data-0e66247d-d7ed-45cd-9162-8c8cd1fc3a65' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>tendency_of_specific_humidity_due_to_stratiform_cloud_and_precipitation_and_boundary_layer_mixing</dd><dt><span>long_name :</span></dt><dd>Tendency of Specific Humidity Due to Stratiform Cloud and Precipitation and Boundary Layer Mixing</dd><dt><span>units :</span></dt><dd>s-1</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
+       "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
+       "         [ 0.00000000e+00,  0.00000000e+00,  1.90706153e-12, ...,\n",
+       "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
+       "         [ 9.53530766e-13,  0.00000000e+00,  0.00000000e+00, ...,\n",
+       "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
+       "         ...,\n",
+       "         [-6.67471547e-12, -1.40169029e-10, -4.30042363e-10, ...,\n",
+       "          -8.20036469e-11, -2.11683823e-10, -8.29571759e-11],\n",
+       "         [-7.05612790e-10, -8.90597762e-10, -8.22897028e-10, ...,\n",
+       "          -3.45178136e-10, -5.94049643e-10, -6.19794993e-10],\n",
+       "         [ 5.24441914e-11,  7.43754017e-11,  8.86783633e-11, ...,\n",
+       "          -2.86059241e-12, -5.72118481e-12,  2.66988619e-11]],\n",
+       "\n",
+       "        [[ 6.86761628e-13,  0.00000000e+00,  6.86761628e-13, ...,\n",
+       "           0.00000000e+00,  1.37352326e-12,  0.00000000e+00],\n",
+       "         [-2.74704651e-12, -9.61466323e-12, -5.49409303e-12, ...,\n",
+       "          -6.18085444e-12, -4.12056977e-12, -6.86761628e-13],\n",
+       "         [-1.44219940e-11, -1.85425633e-11, -2.40366563e-11, ...,\n",
+       "          -1.09881861e-11, -1.03014246e-11,  2.74704651e-12],\n",
+       "...\n",
+       "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
+       "         [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
+       "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
+       "         [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
+       "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
+       "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
+       "         [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
+       "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
+       "         [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
+       "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
+       "         ...,\n",
+       "         [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
+       "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
+       "         [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
+       "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
+       "         [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
+       "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00]]]],\n",
+       "      shape=(5, 40, 64, 128), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-24bf6cdb-4f43-4060-bc8f-ae8744d00ebb' class='xr-section-summary-in' type='checkbox' checked /><label for='section-24bf6cdb-4f43-4060-bc8f-ae8744d00ebb' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>tnhusscpbl_tavg-al-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-al-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-30T19:33:33Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-30T19:33:33Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>variable_id :</span></dt><dd>tnhusscpbl</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>al</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/646505af-8ff3-4d2e-bd1b-289a64341682</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 7MB\n",
+       "Dimensions:     (time: 5, bnds: 2, lev: 40, lat: 64, lon: 128)\n",
+       "Coordinates:\n",
+       "  * time        (time) float64 40B 15.5 45.0 74.5 105.0 135.5\n",
+       "  * lev         (lev) float64 320B 0.9975 0.9915 0.983 ... 0.0106 0.002905\n",
+       "  * lat         (lat) float64 512B -87.86 -85.1 -82.31 ... 82.31 85.1 87.86\n",
+       "  * lon         (lon) float64 1kB 0.0 2.812 5.625 8.438 ... 351.6 354.4 357.2\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds   (time, bnds) float64 80B 0.0 31.0 31.0 ... 120.0 120.0 151.0\n",
+       "    lev_bnds    (lev, bnds) float64 640B 1.0 0.995 0.995 ... 0.007 0.007 0.0\n",
+       "    p0          float64 8B 1e+05\n",
+       "    a           (lev) float64 320B 0.001113 0.003782 ... 0.0106 0.002905\n",
+       "    b           (lev) float64 320B 0.9964 0.9877 0.9754 0.9595 ... 0.0 0.0 0.0\n",
+       "    ps          (time, lat, lon) float32 164kB 6.951e+04 6.928e+04 ... 1.029e+05\n",
+       "    a_bnds      (lev, bnds) float64 640B 0.0 0.002224 0.002224 ... 0.007 0.0\n",
+       "    b_bnds      (lev, bnds) float64 640B 1.0 0.9928 0.9928 ... 0.0 0.0 0.0\n",
+       "    lat_bnds    (lat, bnds) float64 1kB -90.0 -86.58 -86.58 ... 86.58 86.58 90.0\n",
+       "    lon_bnds    (lon, bnds) float64 2kB -1.406 1.406 1.406 ... 355.8 355.8 358.6\n",
+       "    tnhusscpbl  (time, lev, lat, lon) float32 7MB 0.0 0.0 0.0 ... 0.0 0.0 0.0\n",
+       "Attributes:\n",
+       "    Conventions:           CF-1.12\n",
+       "    activity_id:           CMIP\n",
+       "    area_label:            u\n",
+       "    branded_variable:      tnhusscpbl_tavg-al-hxy-u\n",
+       "    branding_suffix:       tavg-al-hxy-u\n",
+       "    creation_date:         2026-05-30T19:33:33Z\n",
+       "    data_specs_version:    MIP-DS7.1.0.0\n",
+       "    description:           Simulation of the climate of the recent past with ...\n",
+       "    drs_specs:             MIP-DRS7\n",
+       "    experiment:            Simulation of the climate of the recent past with ...\n",
+       "    experiment_id:         amip\n",
+       "    external_variables:    areacella\n",
+       "    forcing_index:         f3\n",
+       "    frequency:             mon\n",
+       "    grid_label:            g999\n",
+       "    history:               2026-05-30T19:33:33Z ; CMOR rewrote data to be con...\n",
+       "    horizontal_label:      hxy\n",
+       "    host_collection:       CMIP7\n",
+       "    initialization_index:  i1\n",
+       "    institution:           Environment and Climate Change Canada\n",
+       "    institution_id:        CCCma\n",
+       "    license_id:            CC-BY-4.0\n",
+       "    mip_era:               CMIP7\n",
+       "    nominal_resolution:    100 km\n",
+       "    physics_index:         p1\n",
+       "    product:               model-output\n",
+       "    realization_index:     r9\n",
+       "    realm:                 atmos\n",
+       "    region:                glb\n",
+       "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
+       "    source_id:             DUMMY-MODEL\n",
+       "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
+       "    temporal_label:        tavg\n",
+       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
+       "    variable_id:           tnhusscpbl\n",
+       "    variant_label:         r9i1p1f3\n",
+       "    vertical_label:        al\n",
+       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+       "    cmor_version:          3.15.1\n",
+       "    tracking_id:           hdl:21.14107/646505af-8ff3-4d2e-bd1b-289a64341682"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "with xr.open_dataset(netcdf_path, decode_times=False) as opened:\n",
+    "    ds = opened.load()\n",
+    "\n",
+    "with xr.set_options(\n",
+    "    display_style=\"html\",\n",
+    "    display_expand_attrs=True,\n",
+    "    display_expand_coords=True,\n",
+    "    display_expand_data_vars=True,\n",
+    "    display_max_rows=80,\n",
+    "):\n",
+    "    display(ds)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-30T19:33:33.472708Z",
+     "iopub.status.busy": "2026-05-30T19:33:33.472606Z",
+     "iopub.status.idle": "2026-05-30T19:33:33.606746Z",
+     "shell.execute_reply": "2026-05-30T19:33:33.606299Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x540 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(11, 5.4))\n",
+    "map_plot = Basemap(\n",
+    "    projection=\"cyl\",\n",
+    "    llcrnrlon=-180,\n",
+    "    urcrnrlon=180,\n",
+    "    llcrnrlat=-90,\n",
+    "    urcrnrlat=90,\n",
+    "    resolution=\"c\",\n",
+    "    ax=ax,\n",
+    ")\n",
+    "map_plot.drawmapboundary(fill_color=\"#f7fbff\", linewidth=0.8)\n",
+    "lon_wrapped = ((ds[\"lon\"].values + 180.0) % 360.0) - 180.0\n",
+    "lon_order = np.argsort(lon_wrapped)\n",
+    "lon_grid, lat_grid = np.meshgrid(lon_wrapped[lon_order], ds[\"lat\"].values)\n",
+    "x, y = map_plot(lon_grid, lat_grid)\n",
+    "field = ds[\"tnhusscpbl\"].isel(time=0, lev=10).values[:, lon_order]\n",
+    "mesh = map_plot.pcolormesh(x, y, field, shading=\"auto\", cmap=\"PuOr\")\n",
+    "map_plot.drawcoastlines(linewidth=0.7, color=\"0.15\")\n",
+    "map_plot.drawparallels(np.arange(-90, 91, 30), labels=[1, 0, 0, 0], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
+    "map_plot.drawmeridians(np.arange(-180, 181, 60), labels=[0, 0, 0, 1], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
+    "colorbar = map_plot.colorbar(mesh, location=\"right\", pad=\"5%\")\n",
+    "colorbar.set_label(\"s-1\")\n",
+    "ax.set_title(\"CMIP7 tnhusscpbl on hybrid level 11, first month\")\n",
+    "plt.show()\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/notebooks/04_hybrid_sigma_zfactors.ipynb b/notebooks/04_hybrid_sigma_zfactors.ipynb
deleted file mode 100644
index a29a4b49..00000000
--- a/notebooks/04_hybrid_sigma_zfactors.ipynb
+++ /dev/null
@@ -1,1106 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Hybrid Sigma Coordinate With Z-Factors\n",
-    "\n",
-    "Create a CMIP7 monthly air temperature file (`ta_tavg-al-hxy-u`) on a standard hybrid sigma pressure coordinate. This example defines the vertical coordinate formula terms with CMOR zfactors and stores surface pressure with the data variable."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-30T00:14:11.016089Z",
-     "iopub.status.busy": "2026-05-30T00:14:11.015958Z",
-     "iopub.status.idle": "2026-05-30T00:14:11.505497Z",
-     "shell.execute_reply": "2026-05-30T00:14:11.505035Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Using CMIP7 tables from ../cmip7-cmor-tables/tables\n"
-     ]
-    }
-   ],
-   "source": [
-    "from pathlib import Path\n",
-    "import json\n",
-    "import shutil\n",
-    "\n",
-    "import cmor\n",
-    "from IPython.display import display\n",
-    "import matplotlib.pyplot as plt\n",
-    "from mpl_toolkits.basemap import Basemap\n",
-    "import numpy as np\n",
-    "import xarray as xr\n",
-    "\n",
-    "TABLES_DIR = \"../cmip7-cmor-tables/tables\"\n",
-    "CV_PATH = \"../cmip7-cmor-tables/tables-cvs/cmor-cvs.json\"\n",
-    "if not Path(TABLES_DIR).exists():\n",
-    "    raise FileNotFoundError(f\"CMIP7 tables directory not found: {TABLES_DIR}\")\n",
-    "if not Path(CV_PATH).exists():\n",
-    "    raise FileNotFoundError(f\"CMIP7 CV file not found: {CV_PATH}\")\n",
-    "\n",
-    "print(f\"Using CMIP7 tables from {TABLES_DIR}\")\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-30T00:14:11.506884Z",
-     "iopub.status.busy": "2026-05-30T00:14:11.506733Z",
-     "iopub.status.idle": "2026-05-30T00:14:11.514287Z",
-     "shell.execute_reply": "2026-05-30T00:14:11.513937Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(2, 5, 18, 36) (2, 18, 36)\n"
-     ]
-    }
-   ],
-   "source": [
-    "run_dir = Path(\"output\") / \"04_hybrid_sigma_zfactors\"\n",
-    "if run_dir.exists():\n",
-    "    shutil.rmtree(run_dir)\n",
-    "output_dir = run_dir / \"cmor_output\"\n",
-    "output_dir.mkdir(parents=True)\n",
-    "\n",
-    "DATASET_INFO = {\n",
-    "    \"_AXIS_ENTRY_FILE\": \"CMIP7_coordinate.json\",\n",
-    "    \"_FORMULA_VAR_FILE\": \"CMIP7_formula_terms.json\",\n",
-    "    \"_cmip7_option\": 1,\n",
-    "    \"_controlled_vocabulary_file\": CV_PATH,\n",
-    "    \"activity_id\": \"CMIP\",\n",
-    "    \"calendar\": \"360_day\",\n",
-    "    \"experiment_id\": \"amip\",\n",
-    "    \"forcing_index\": \"f3\",\n",
-    "    \"frequency\": \"mon\",\n",
-    "    \"grid_label\": \"g999\",\n",
-    "    \"host_collection\": \"CMIP7\",\n",
-    "    \"initialization_index\": \"i1\",\n",
-    "    \"institution_id\": \"CCCma\",\n",
-    "    \"license_id\": \"CC-BY-4.0\",\n",
-    "    \"nominal_resolution\": \"100 km\",\n",
-    "    \"outpath\": str(output_dir),\n",
-    "    \"physics_index\": \"p1\",\n",
-    "    \"realization_index\": \"r9\",\n",
-    "    \"region\": \"glb\",\n",
-    "    \"source_id\": \"DUMMY-MODEL\",\n",
-    "}\n",
-    "input_json = run_dir / \"input.json\"\n",
-    "input_json.write_text(json.dumps(DATASET_INFO, indent=2, sort_keys=True))\n",
-    "\n",
-    "lat = np.arange(-85.0, 90.0, 10.0)\n",
-    "lat_bnds = np.arange(-90.0, 91.0, 10.0)\n",
-    "lon = np.arange(5.0, 360.0, 10.0)\n",
-    "lon_bnds = np.arange(0.0, 361.0, 10.0)\n",
-    "time = 15.0 + 30.0 * np.arange(2, dtype=\"f8\")\n",
-    "time_bnds = 30.0 * np.arange(3, dtype=\"f8\")\n",
-    "time_units = \"days since 2018-01-01\"\n",
-    "\n",
-    "lev = np.array([0.95, 0.75, 0.50, 0.25, 0.05], dtype=\"f8\")\n",
-    "lev_bnds = np.array([1.0, 0.85, 0.625, 0.375, 0.125, 0.0], dtype=\"f8\")\n",
-    "a = np.array([0.02, 0.05, 0.10, 0.20, 0.35], dtype=\"f8\")\n",
-    "a_bnds = np.array([0.0, 0.035, 0.075, 0.15, 0.275, 0.45], dtype=\"f8\")\n",
-    "b = np.array([0.90, 0.70, 0.45, 0.20, 0.03], dtype=\"f8\")\n",
-    "b_bnds = np.array([1.0, 0.80, 0.575, 0.325, 0.115, 0.0], dtype=\"f8\")\n",
-    "p0 = np.array([100000.0], dtype=\"f8\")\n",
-    "\n",
-    "seasonal_cycle = np.array([0.0, 1.0], dtype=\"f4\")[:, None, None, None]\n",
-    "lev_term = lev[None, :, None, None]\n",
-    "lat_term = np.sin(np.deg2rad(lat))[None, None, :, None] ** 2\n",
-    "lon_term = np.cos(np.deg2rad(lon))[None, None, None, :]\n",
-    "ta = (290.0 - 55.0 * (1.0 - lev_term) - 30.0 * lat_term + lon_term + seasonal_cycle).astype(\"f4\")\n",
-    "\n",
-    "ps = (\n",
-    "    98000.0\n",
-    "    - 12000.0 * np.sin(np.deg2rad(lat))[None, :, None] ** 2\n",
-    "    + 300.0 * np.cos(np.deg2rad(lon))[None, None, :]\n",
-    "    + np.array([0.0, 150.0], dtype=\"f4\")[:, None, None]\n",
-    ").astype(\"f4\")\n",
-    "\n",
-    "print(ta.shape, ps.shape)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-30T00:14:11.515713Z",
-     "iopub.status.busy": "2026-05-30T00:14:11.515630Z",
-     "iopub.status.idle": "2026-05-30T00:14:11.589635Z",
-     "shell.execute_reply": "2026-05-30T00:14:11.589108Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "output/04_hybrid_sigma_zfactors/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/ta/tavg-al-hxy-u/g999/v20260529/ta_tavg-al-hxy-u_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201801-201802.nc\n"
-     ]
-    }
-   ],
-   "source": [
-    "cmor.setup(\n",
-    "    inpath=TABLES_DIR,\n",
-    "    netcdf_file_action=cmor.CMOR_REPLACE,\n",
-    "    logfile=str(run_dir / \"cmor.log\"),\n",
-    ")\n",
-    "cmor.dataset_json(str(input_json))\n",
-    "cmor.load_table(\"CMIP7_atmos.json\")\n",
-    "\n",
-    "time_id = cmor.axis(\"time\", coord_vals=time, cell_bounds=time_bnds, units=time_units)\n",
-    "lev_id = cmor.axis(\"standard_hybrid_sigma\", coord_vals=lev, cell_bounds=lev_bnds, units=\"1\")\n",
-    "lat_id = cmor.axis(\"latitude\", coord_vals=lat, cell_bounds=lat_bnds, units=\"degrees_north\")\n",
-    "lon_id = cmor.axis(\"longitude\", coord_vals=lon, cell_bounds=lon_bnds, units=\"degrees_east\")\n",
-    "\n",
-    "cmor.zfactor(zaxis_id=lev_id, zfactor_name=\"a\", axis_ids=[lev_id], zfactor_values=a, zfactor_bounds=a_bnds)\n",
-    "cmor.zfactor(zaxis_id=lev_id, zfactor_name=\"b\", axis_ids=[lev_id], zfactor_values=b, zfactor_bounds=b_bnds)\n",
-    "cmor.zfactor(zaxis_id=lev_id, zfactor_name=\"p0\", units=\"Pa\", zfactor_values=p0)\n",
-    "ps_id = cmor.zfactor(zaxis_id=lev_id, zfactor_name=\"ps\", axis_ids=[time_id, lat_id, lon_id], units=\"Pa\")\n",
-    "\n",
-    "variable_name = \"ta_tavg-al-hxy-u\"\n",
-    "ta_id = cmor.variable(variable_name, \"K\", [time_id, lev_id, lat_id, lon_id])\n",
-    "compound_name = \".\".join([\"atmos\"] + variable_name.split(\"_\") + [\"mon\", \"glb\"])\n",
-    "\n",
-    "with open(Path(TABLES_DIR) / \"CMIP7_cell_measures.json\") as handle:\n",
-    "    cell_measure = json.load(handle)[\"cell_measures\"].get(compound_name)\n",
-    "if cell_measure:\n",
-    "    cmor.set_variable_attribute(ta_id, \"cell_measures\", \"c\", cell_measure)\n",
-    "\n",
-    "with open(Path(TABLES_DIR) / \"CMIP7_long_name_overrides.json\") as handle:\n",
-    "    long_name = json.load(handle)[\"long_name_overrides\"].get(compound_name)\n",
-    "if long_name:\n",
-    "    cmor.set_variable_attribute(ta_id, \"long_name\", \"c\", long_name)\n",
-    "\n",
-    "cmor.write(ta_id, ta)\n",
-    "cmor.write(ps_id, ps, store_with=ta_id)\n",
-    "netcdf_path = Path(cmor.close(ta_id, file_name=True))\n",
-    "cmor.close()\n",
-    "\n",
-    "print(netcdf_path.resolve().relative_to(Path.cwd().resolve()))\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
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-     "iopub.execute_input": "2026-05-30T00:14:11.590730Z",
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-     "iopub.status.idle": "2026-05-30T00:14:11.708053Z",
-     "shell.execute_reply": "2026-05-30T00:14:11.707503Z"
-    }
-   },
-   "outputs": [
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-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-children {\n",
-       "  display: inline-grid;\n",
-       "  grid-template-columns: 100%;\n",
-       "  grid-column: 1 / -1;\n",
-       "  padding-top: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box {\n",
-       "  display: inline-grid;\n",
-       "  grid-template-columns: 0px 30px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-vline {\n",
-       "  grid-column-start: 1;\n",
-       "  border-right: 0.2em solid;\n",
-       "  border-color: var(--xr-border-color);\n",
-       "  width: 0px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-hline {\n",
-       "  grid-column-start: 2;\n",
-       "  grid-row-start: 1;\n",
-       "  height: 1em;\n",
-       "  width: 26px;\n",
-       "  border-bottom: 0.2em solid;\n",
-       "  border-color: var(--xr-border-color);\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents {\n",
-       "  grid-column-start: 3;\n",
-       "  padding-bottom: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > label::before {\n",
-       "  content: \"📂\";\n",
-       "  padding-right: 0.3em;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input:checked + label::before {\n",
-       "  content: \"📁\";\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input:checked + label {\n",
-       "  padding-bottom: 0px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input + label > span {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-ellipsis {\n",
-       "  font-size: 1.4em;\n",
-       "  font-weight: 900;\n",
-       "  color: var(--xr-font-color2);\n",
-       "  letter-spacing: 0.15em;\n",
-       "  cursor: default;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap {\n",
-       "  grid-column: 1 / -1;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 20px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap > label {\n",
-       "  grid-column: 1;\n",
-       "  vertical-align: top;\n",
-       "}\n",
-       "\n",
-       ".xr-preview {\n",
-       "  color: var(--xr-font-color3);\n",
-       "}\n",
-       "\n",
-       ".xr-array-preview,\n",
-       ".xr-array-data {\n",
-       "  padding: 0 5px !important;\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-array-data,\n",
-       ".xr-array-in:checked ~ .xr-array-preview {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-array-in:checked ~ .xr-array-data,\n",
-       ".xr-array-preview {\n",
-       "  display: inline-block;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list {\n",
-       "  display: inline-block !important;\n",
-       "  list-style: none;\n",
-       "  padding: 0 !important;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li {\n",
-       "  display: inline-block;\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:before {\n",
-       "  content: \"(\";\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:after {\n",
-       "  content: \")\";\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: \",\";\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-has-index {\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list,\n",
-       ".xr-var-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > div,\n",
-       ".xr-var-item label,\n",
-       ".xr-var-item > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-even);\n",
-       "  border-color: var(--xr-background-color-row-odd);\n",
-       "  margin-bottom: 0;\n",
-       "  padding-top: 2px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list > li:nth-child(odd) > div,\n",
-       ".xr-var-list > li:nth-child(odd) > label,\n",
-       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-odd);\n",
-       "  border-color: var(--xr-background-color-row-even);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name {\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dims {\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  border-top: 2px dotted var(--xr-background-color);\n",
-       "  padding-bottom: 20px !important;\n",
-       "  padding-top: 10px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in + label,\n",
-       ".xr-var-data-in + label,\n",
-       ".xr-index-data-in + label {\n",
-       "  padding: 0 1px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > pre,\n",
-       ".xr-index-data > pre,\n",
-       ".xr-var-data > table > tbody > tr {\n",
-       "  background-color: transparent !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
-       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
-       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
-       "  color: var(--xr-font-color0);\n",
-       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
-       "  stroke-width: 0.8px;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 33kB\n",
-       "Dimensions:    (time: 2, bnds: 2, lev: 5, lat: 18, lon: 36)\n",
-       "Coordinates:\n",
-       "  * time       (time) float64 16B 15.0 45.0\n",
-       "  * lev        (lev) float64 40B 0.95 0.75 0.5 0.25 0.05\n",
-       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
-       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
-       "Dimensions without coordinates: bnds\n",
-       "Data variables:\n",
-       "    time_bnds  (time, bnds) float64 32B 0.0 30.0 30.0 60.0\n",
-       "    lev_bnds   (lev, bnds) float64 80B 1.0 0.85 0.85 0.625 ... 0.125 0.125 0.0\n",
-       "    p0         float64 8B 1e+05\n",
-       "    a          (lev) float64 40B 0.02 0.05 0.1 0.2 0.35\n",
-       "    b          (lev) float64 40B 0.9 0.7 0.45 0.2 0.03\n",
-       "    ps         (time, lat, lon) float32 5kB 8.639e+04 8.638e+04 ... 8.654e+04\n",
-       "    a_bnds     (lev, bnds) float64 80B 0.0 0.035 0.035 ... 0.275 0.275 0.45\n",
-       "    b_bnds     (lev, bnds) float64 80B 1.0 0.8 0.8 0.575 ... 0.115 0.115 0.0\n",
-       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
-       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
-       "    ta         (time, lev, lat, lon) float32 26kB 258.5 258.4 ... 209.9 210.0\n",
-       "Attributes:\n",
-       "    Conventions:           CF-1.12\n",
-       "    activity_id:           CMIP\n",
-       "    area_label:            u\n",
-       "    branded_variable:      ta_tavg-al-hxy-u\n",
-       "    branding_suffix:       tavg-al-hxy-u\n",
-       "    creation_date:         2026-05-30T00:14:11Z\n",
-       "    data_specs_version:    MIP-DS7.1.0.0\n",
-       "    description:           Simulation of the climate of the recent past with ...\n",
-       "    drs_specs:             MIP-DRS7\n",
-       "    experiment:            Simulation of the climate of the recent past with ...\n",
-       "    experiment_id:         amip\n",
-       "    external_variables:    areacella\n",
-       "    forcing_index:         f3\n",
-       "    frequency:             mon\n",
-       "    grid_label:            g999\n",
-       "    history:               2026-05-30T00:14:11Z ; CMOR rewrote data to be con...\n",
-       "    horizontal_label:      hxy\n",
-       "    host_collection:       CMIP7\n",
-       "    initialization_index:  i1\n",
-       "    institution:           Environment and Climate Change Canada\n",
-       "    institution_id:        CCCma\n",
-       "    license_id:            CC-BY-4.0\n",
-       "    mip_era:               CMIP7\n",
-       "    nominal_resolution:    100 km\n",
-       "    physics_index:         p1\n",
-       "    product:               model-output\n",
-       "    realization_index:     r9\n",
-       "    realm:                 atmos\n",
-       "    region:                glb\n",
-       "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
-       "    source_id:             DUMMY-MODEL\n",
-       "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
-       "    temporal_label:        tavg\n",
-       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    variable_id:           ta\n",
-       "    variant_label:         r9i1p1f3\n",
-       "    vertical_label:        al\n",
-       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1\n",
-       "    tracking_id:           hdl:21.14107/66568989-9516-41a0-85b6-3182301a089e</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b7b34417-80f1-452f-af2f-bb67a5fca7e6' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-b7b34417-80f1-452f-af2f-bb67a5fca7e6' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lev</span>: 5</li><li><span class='xr-has-index'>lat</span>: 18</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div></li><li class='xr-section-item'><input id='section-7c0b069b-f3b0-453b-bcc8-9992e4835360' class='xr-section-summary-in' type='checkbox' checked /><label for='section-7c0b069b-f3b0-453b-bcc8-9992e4835360' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0</div><input id='attrs-f32616b6-10c4-42ec-b782-7b1347bc801f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f32616b6-10c4-42ec-b782-7b1347bc801f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-713f0590-e90e-48fb-8c82-95f963158acd' class='xr-var-data-in' type='checkbox'><label for='data-713f0590-e90e-48fb-8c82-95f963158acd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.95 0.75 0.5 0.25 0.05</div><input id='attrs-faded940-ebb5-4a40-9cdf-abdbe25c10c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-faded940-ebb5-4a40-9cdf-abdbe25c10c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c017461-6f6b-4045-811d-99823c8f4ada' class='xr-var-data-in' type='checkbox'><label for='data-1c017461-6f6b-4045-811d-99823c8f4ada' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lev_bnds</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>hybrid sigma pressure coordinate</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a b: b ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([0.95, 0.75, 0.5 , 0.25, 0.05])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -75.0 -65.0 ... 75.0 85.0</div><input id='attrs-b73aec39-0c8c-4d13-9ea1-4191a86574ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b73aec39-0c8c-4d13-9ea1-4191a86574ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4dd4eb3c-423f-4309-a1d6-0fa164304606' class='xr-var-data-in' type='checkbox'><label for='data-4dd4eb3c-423f-4309-a1d6-0fa164304606' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85., -75., -65., -55., -45., -35., -25., -15.,  -5.,   5.,  15.,  25.,\n",
-       "        35.,  45.,  55.,  65.,  75.,  85.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 15.0 25.0 ... 335.0 345.0 355.0</div><input id='attrs-c30756f6-52d9-4436-be64-67d10ad43ba8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c30756f6-52d9-4436-be64-67d10ad43ba8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0c742a2-704a-46dd-9521-03e937d3d1e5' class='xr-var-data-in' type='checkbox'><label for='data-b0c742a2-704a-46dd-9521-03e937d3d1e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  5.,  15.,  25.,  35.,  45.,  55.,  65.,  75.,  85.,  95., 105., 115.,\n",
-       "       125., 135., 145., 155., 165., 175., 185., 195., 205., 215., 225., 235.,\n",
-       "       245., 255., 265., 275., 285., 295., 305., 315., 325., 335., 345., 355.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f1402bf8-ce2f-4508-8e0a-19817f56d511' class='xr-section-summary-in' type='checkbox' checked /><label for='section-f1402bf8-ce2f-4508-8e0a-19817f56d511' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0</div><input id='attrs-5dceece5-83fb-4f94-9682-0cf98caa794b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5dceece5-83fb-4f94-9682-0cf98caa794b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ea16ae4-630b-48f4-85a4-a58961f2301f' class='xr-var-data-in' type='checkbox'><label for='data-9ea16ae4-630b-48f4-85a4-a58961f2301f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
-       "       [30., 60.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lev_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.85 0.85 ... 0.125 0.125 0.0</div><input id='attrs-2be87b80-5e9f-43d3-98c6-683165175132' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2be87b80-5e9f-43d3-98c6-683165175132' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c1e7939-4425-486a-af39-d84790675bd1' class='xr-var-data-in' type='checkbox'><label for='data-5c1e7939-4425-486a-af39-d84790675bd1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a_bnds b: b_bnds ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([[1.   , 0.85 ],\n",
-       "       [0.85 , 0.625],\n",
-       "       [0.625, 0.375],\n",
-       "       [0.375, 0.125],\n",
-       "       [0.125, 0.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p0</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05</div><input id='attrs-4f0fc2bb-95d5-416f-90af-23638076795f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f0fc2bb-95d5-416f-90af-23638076795f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd9ad8e9-0bd5-4045-b7ef-9241cfdef73e' class='xr-var-data-in' type='checkbox'><label for='data-dd9ad8e9-0bd5-4045-b7ef-9241cfdef73e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>reference_air_pressure_for_atmosphere_vertical_coordinate</dd><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: reference pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array(100000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.02 0.05 0.1 0.2 0.35</div><input id='attrs-58eecc19-50c9-4a19-a354-c013d5d84bda' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58eecc19-50c9-4a19-a354-c013d5d84bda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15768b0f-1a3d-43d7-9243-f6f5e31a7e7f' class='xr-var-data-in' type='checkbox'><label for='data-15768b0f-1a3d-43d7-9243-f6f5e31a7e7f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a</dd></dl></div><div class='xr-var-data'><pre>array([0.02, 0.05, 0.1 , 0.2 , 0.35])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9 0.7 0.45 0.2 0.03</div><input id='attrs-61cd98ff-a5e1-4a29-a3ac-70a6fa1046b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61cd98ff-a5e1-4a29-a3ac-70a6fa1046b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30a9b6ff-1355-4692-8b69-356142e91f07' class='xr-var-data-in' type='checkbox'><label for='data-30a9b6ff-1355-4692-8b69-356142e91f07' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b</dd></dl></div><div class='xr-var-data'><pre>array([0.9 , 0.7 , 0.45, 0.2 , 0.03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ps</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>8.639e+04 8.638e+04 ... 8.654e+04</div><input id='attrs-e0d234ec-67a9-4f3c-9bab-4961eb8d51e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0d234ec-67a9-4f3c-9bab-4961eb8d51e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7cecb0ac-bcd7-4235-bfa1-f9b865de8e74' class='xr-var-data-in' type='checkbox'><label for='data-7cecb0ac-bcd7-4235-bfa1-f9b865de8e74' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>long_name :</span></dt><dd>Surface Air Pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array([[[86390.016, 86380.93 , 86363.05 , ..., 86363.05 , 86380.93 ,\n",
-       "         86390.016],\n",
-       "        [87102.7  , 87093.625, 87075.74 , ..., 87075.74 , 87093.625,\n",
-       "         87102.7  ],\n",
-       "        [88442.13 , 88433.055, 88415.164, ..., 88415.164, 88433.055,\n",
-       "         88442.13 ],\n",
-       "        ...,\n",
-       "        [88442.13 , 88433.055, 88415.164, ..., 88415.164, 88433.055,\n",
-       "         88442.13 ],\n",
-       "        [87102.7  , 87093.625, 87075.74 , ..., 87075.74 , 87093.625,\n",
-       "         87102.7  ],\n",
-       "        [86390.016, 86380.93 , 86363.05 , ..., 86363.05 , 86380.93 ,\n",
-       "         86390.016]],\n",
-       "\n",
-       "       [[86540.016, 86530.93 , 86513.05 , ..., 86513.05 , 86530.93 ,\n",
-       "         86540.016],\n",
-       "        [87252.7  , 87243.625, 87225.74 , ..., 87225.74 , 87243.625,\n",
-       "         87252.7  ],\n",
-       "        [88592.13 , 88583.055, 88565.164, ..., 88565.164, 88583.055,\n",
-       "         88592.13 ],\n",
-       "        ...,\n",
-       "        [88592.13 , 88583.055, 88565.164, ..., 88565.164, 88583.055,\n",
-       "         88592.13 ],\n",
-       "        [87252.7  , 87243.625, 87225.74 , ..., 87225.74 , 87243.625,\n",
-       "         87252.7  ],\n",
-       "        [86540.016, 86530.93 , 86513.05 , ..., 86513.05 , 86530.93 ,\n",
-       "         86540.016]]], shape=(2, 18, 36), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.035 0.035 ... 0.275 0.45</div><input id='attrs-40c208b6-a76e-408c-889d-955e291a25db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40c208b6-a76e-408c-889d-955e291a25db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae56b31e-f478-4d29-9b7b-cf38ed540d01' class='xr-var-data-in' type='checkbox'><label for='data-ae56b31e-f478-4d29-9b7b-cf38ed540d01' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[0.   , 0.035],\n",
-       "       [0.035, 0.075],\n",
-       "       [0.075, 0.15 ],\n",
-       "       [0.15 , 0.275],\n",
-       "       [0.275, 0.45 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.8 0.8 ... 0.115 0.115 0.0</div><input id='attrs-d85f5dc5-1d71-4dbc-a5bc-df6791249d2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d85f5dc5-1d71-4dbc-a5bc-df6791249d2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06fac33c-ecc3-44d5-b20a-d546f1696632' class='xr-var-data-in' type='checkbox'><label for='data-06fac33c-ecc3-44d5-b20a-d546f1696632' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[1.   , 0.8  ],\n",
-       "       [0.8  , 0.575],\n",
-       "       [0.575, 0.325],\n",
-       "       [0.325, 0.115],\n",
-       "       [0.115, 0.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -80.0 -80.0 ... 80.0 90.0</div><input id='attrs-20adef13-4aab-4f0b-8882-81d7b1aef132' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-20adef13-4aab-4f0b-8882-81d7b1aef132' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-403d46c9-7488-4a7e-a033-ba222fdd3803' class='xr-var-data-in' type='checkbox'><label for='data-403d46c9-7488-4a7e-a033-ba222fdd3803' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -80.],\n",
-       "       [-80., -70.],\n",
-       "       [-70., -60.],\n",
-       "       [-60., -50.],\n",
-       "       [-50., -40.],\n",
-       "       [-40., -30.],\n",
-       "       [-30., -20.],\n",
-       "       [-20., -10.],\n",
-       "       [-10.,   0.],\n",
-       "       [  0.,  10.],\n",
-       "       [ 10.,  20.],\n",
-       "       [ 20.,  30.],\n",
-       "       [ 30.,  40.],\n",
-       "       [ 40.,  50.],\n",
-       "       [ 50.,  60.],\n",
-       "       [ 60.,  70.],\n",
-       "       [ 70.,  80.],\n",
-       "       [ 80.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 10.0 ... 350.0 350.0 360.0</div><input id='attrs-922a82b0-f001-4cf2-ab26-2aac354aa408' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-922a82b0-f001-4cf2-ab26-2aac354aa408' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-111f15f4-d434-47dc-933d-ec2f7253d40c' class='xr-var-data-in' type='checkbox'><label for='data-111f15f4-d434-47dc-933d-ec2f7253d40c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  10.],\n",
-       "       [ 10.,  20.],\n",
-       "       [ 20.,  30.],\n",
-       "       [ 30.,  40.],\n",
-       "       [ 40.,  50.],\n",
-       "       [ 50.,  60.],\n",
-       "       [ 60.,  70.],\n",
-       "       [ 70.,  80.],\n",
-       "       [ 80.,  90.],\n",
-       "       [ 90., 100.],\n",
-       "       [100., 110.],\n",
-       "       [110., 120.],\n",
-       "       [120., 130.],\n",
-       "       [130., 140.],\n",
-       "       [140., 150.],\n",
-       "       [150., 160.],\n",
-       "       [160., 170.],\n",
-       "       [170., 180.],\n",
-       "       [180., 190.],\n",
-       "       [190., 200.],\n",
-       "       [200., 210.],\n",
-       "       [210., 220.],\n",
-       "       [220., 230.],\n",
-       "       [230., 240.],\n",
-       "       [240., 250.],\n",
-       "       [250., 260.],\n",
-       "       [260., 270.],\n",
-       "       [270., 280.],\n",
-       "       [280., 290.],\n",
-       "       [290., 300.],\n",
-       "       [300., 310.],\n",
-       "       [310., 320.],\n",
-       "       [320., 330.],\n",
-       "       [330., 340.],\n",
-       "       [340., 350.],\n",
-       "       [350., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>258.5 258.4 258.4 ... 209.9 210.0</div><input id='attrs-009a3672-d997-4f21-86d6-e8a9cd7dff48' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-009a3672-d997-4f21-86d6-e8a9cd7dff48' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12912ac3-2d98-4d2e-bdc0-6b7405191c64' class='xr-var-data-in' type='checkbox'><label for='data-12912ac3-2d98-4d2e-bdc0-6b7405191c64' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[258.4741 , 258.44382, 258.3842 , ..., 258.3842 , 258.44382,\n",
-       "          258.4741 ],\n",
-       "         [260.25583, 260.22556, 260.16592, ..., 260.16592, 260.22556,\n",
-       "          260.25583],\n",
-       "         [263.60437, 263.5741 , 263.5145 , ..., 263.5145 , 263.5741 ,\n",
-       "          263.60437],\n",
-       "         ...,\n",
-       "         [263.60437, 263.5741 , 263.5145 , ..., 263.5145 , 263.5741 ,\n",
-       "          263.60437],\n",
-       "         [260.25583, 260.22556, 260.16592, ..., 260.16592, 260.22556,\n",
-       "          260.25583],\n",
-       "         [258.4741 , 258.44382, 258.3842 , ..., 258.3842 , 258.44382,\n",
-       "          258.4741 ]],\n",
-       "\n",
-       "        [[247.47408, 247.44382, 247.38419, ..., 247.38419, 247.44382,\n",
-       "          247.47408],\n",
-       "         [249.25581, 249.22554, 249.16592, ..., 249.16592, 249.22554,\n",
-       "          249.25581],\n",
-       "         [252.60439, 252.57411, 252.5145 , ..., 252.5145 , 252.57411,\n",
-       "          252.60439],\n",
-       "...\n",
-       "         [226.10439, 226.07411, 226.0145 , ..., 226.0145 , 226.07411,\n",
-       "          226.10439],\n",
-       "         [222.75581, 222.72554, 222.66592, ..., 222.66592, 222.72554,\n",
-       "          222.75581],\n",
-       "         [220.97408, 220.94382, 220.88419, ..., 220.88419, 220.94382,\n",
-       "          220.97408]],\n",
-       "\n",
-       "        [[209.97408, 209.94382, 209.88419, ..., 209.88419, 209.94382,\n",
-       "          209.97408],\n",
-       "         [211.75581, 211.72554, 211.66592, ..., 211.66592, 211.72554,\n",
-       "          211.75581],\n",
-       "         [215.10439, 215.07411, 215.0145 , ..., 215.0145 , 215.07411,\n",
-       "          215.10439],\n",
-       "         ...,\n",
-       "         [215.10439, 215.07411, 215.0145 , ..., 215.0145 , 215.07411,\n",
-       "          215.10439],\n",
-       "         [211.75581, 211.72554, 211.66592, ..., 211.66592, 211.72554,\n",
-       "          211.75581],\n",
-       "         [209.97408, 209.94382, 209.88419, ..., 209.88419, 209.94382,\n",
-       "          209.97408]]]], shape=(2, 5, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ba43d316-e720-4c5d-9bb2-85eec0486013' class='xr-section-summary-in' type='checkbox' checked /><label for='section-ba43d316-e720-4c5d-9bb2-85eec0486013' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>ta_tavg-al-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-al-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-30T00:14:11Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-30T00:14:11Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>variable_id :</span></dt><dd>ta</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>al</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/66568989-9516-41a0-85b6-3182301a089e</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset> Size: 33kB\n",
-       "Dimensions:    (time: 2, bnds: 2, lev: 5, lat: 18, lon: 36)\n",
-       "Coordinates:\n",
-       "  * time       (time) float64 16B 15.0 45.0\n",
-       "  * lev        (lev) float64 40B 0.95 0.75 0.5 0.25 0.05\n",
-       "  * lat        (lat) float64 144B -85.0 -75.0 -65.0 -55.0 ... 65.0 75.0 85.0\n",
-       "  * lon        (lon) float64 288B 5.0 15.0 25.0 35.0 ... 325.0 335.0 345.0 355.0\n",
-       "Dimensions without coordinates: bnds\n",
-       "Data variables:\n",
-       "    time_bnds  (time, bnds) float64 32B 0.0 30.0 30.0 60.0\n",
-       "    lev_bnds   (lev, bnds) float64 80B 1.0 0.85 0.85 0.625 ... 0.125 0.125 0.0\n",
-       "    p0         float64 8B 1e+05\n",
-       "    a          (lev) float64 40B 0.02 0.05 0.1 0.2 0.35\n",
-       "    b          (lev) float64 40B 0.9 0.7 0.45 0.2 0.03\n",
-       "    ps         (time, lat, lon) float32 5kB 8.639e+04 8.638e+04 ... 8.654e+04\n",
-       "    a_bnds     (lev, bnds) float64 80B 0.0 0.035 0.035 ... 0.275 0.275 0.45\n",
-       "    b_bnds     (lev, bnds) float64 80B 1.0 0.8 0.8 0.575 ... 0.115 0.115 0.0\n",
-       "    lat_bnds   (lat, bnds) float64 288B -90.0 -80.0 -80.0 ... 80.0 80.0 90.0\n",
-       "    lon_bnds   (lon, bnds) float64 576B 0.0 10.0 10.0 20.0 ... 350.0 350.0 360.0\n",
-       "    ta         (time, lev, lat, lon) float32 26kB 258.5 258.4 ... 209.9 210.0\n",
-       "Attributes:\n",
-       "    Conventions:           CF-1.12\n",
-       "    activity_id:           CMIP\n",
-       "    area_label:            u\n",
-       "    branded_variable:      ta_tavg-al-hxy-u\n",
-       "    branding_suffix:       tavg-al-hxy-u\n",
-       "    creation_date:         2026-05-30T00:14:11Z\n",
-       "    data_specs_version:    MIP-DS7.1.0.0\n",
-       "    description:           Simulation of the climate of the recent past with ...\n",
-       "    drs_specs:             MIP-DRS7\n",
-       "    experiment:            Simulation of the climate of the recent past with ...\n",
-       "    experiment_id:         amip\n",
-       "    external_variables:    areacella\n",
-       "    forcing_index:         f3\n",
-       "    frequency:             mon\n",
-       "    grid_label:            g999\n",
-       "    history:               2026-05-30T00:14:11Z ; CMOR rewrote data to be con...\n",
-       "    horizontal_label:      hxy\n",
-       "    host_collection:       CMIP7\n",
-       "    initialization_index:  i1\n",
-       "    institution:           Environment and Climate Change Canada\n",
-       "    institution_id:        CCCma\n",
-       "    license_id:            CC-BY-4.0\n",
-       "    mip_era:               CMIP7\n",
-       "    nominal_resolution:    100 km\n",
-       "    physics_index:         p1\n",
-       "    product:               model-output\n",
-       "    realization_index:     r9\n",
-       "    realm:                 atmos\n",
-       "    region:                glb\n",
-       "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
-       "    source_id:             DUMMY-MODEL\n",
-       "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
-       "    temporal_label:        tavg\n",
-       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    variable_id:           ta\n",
-       "    variant_label:         r9i1p1f3\n",
-       "    vertical_label:        al\n",
-       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1\n",
-       "    tracking_id:           hdl:21.14107/66568989-9516-41a0-85b6-3182301a089e"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "with xr.open_dataset(netcdf_path, decode_times=False) as opened:\n",
-    "    ds = opened.load()\n",
-    "\n",
-    "with xr.set_options(\n",
-    "    display_style=\"html\",\n",
-    "    display_expand_attrs=True,\n",
-    "    display_expand_coords=True,\n",
-    "    display_expand_data_vars=True,\n",
-    "    display_max_rows=80,\n",
-    "):\n",
-    "    display(ds)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-30T00:14:11.709442Z",
-     "iopub.status.busy": "2026-05-30T00:14:11.709355Z",
-     "iopub.status.idle": "2026-05-30T00:14:11.846575Z",
-     "shell.execute_reply": "2026-05-30T00:14:11.846073Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1100x540 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, ax = plt.subplots(figsize=(11, 5.4))\n",
-    "map_plot = Basemap(\n",
-    "    projection=\"cyl\",\n",
-    "    llcrnrlon=-180,\n",
-    "    urcrnrlon=180,\n",
-    "    llcrnrlat=-90,\n",
-    "    urcrnrlat=90,\n",
-    "    resolution=\"c\",\n",
-    "    ax=ax,\n",
-    ")\n",
-    "map_plot.drawmapboundary(fill_color=\"#f7fbff\", linewidth=0.8)\n",
-    "lon_wrapped = ((ds[\"lon\"].values + 180.0) % 360.0) - 180.0\n",
-    "lon_order = np.argsort(lon_wrapped)\n",
-    "lon_grid, lat_grid = np.meshgrid(lon_wrapped[lon_order], ds[\"lat\"].values)\n",
-    "x, y = map_plot(lon_grid, lat_grid)\n",
-    "field = ds[\"ta\"].isel(time=0, lev=2).values[:, lon_order]\n",
-    "mesh = map_plot.pcolormesh(x, y, field, shading=\"auto\", cmap=\"RdYlBu_r\")\n",
-    "map_plot.drawcoastlines(linewidth=0.7, color=\"0.15\")\n",
-    "map_plot.drawparallels(np.arange(-90, 91, 30), labels=[1, 0, 0, 0], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
-    "map_plot.drawmeridians(np.arange(-180, 181, 60), labels=[0, 0, 0, 1], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
-    "colorbar = map_plot.colorbar(mesh, location=\"right\", pad=\"5%\")\n",
-    "colorbar.set_label(\"K\")\n",
-    "ax.set_title(\"CMIP7 ta on hybrid level 3, first month\")\n",
-    "plt.show()\n"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.13.7"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/notebooks/05_curvilinear_ocean_grid.ipynb b/notebooks/05_curvilinear_ocean_grid.ipynb
deleted file mode 100644
index 680ef255..00000000
--- a/notebooks/05_curvilinear_ocean_grid.ipynb
+++ /dev/null
@@ -1,1166 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Ocean Surface Temperature On A Curvilinear Grid\n",
-    "\n",
-    "Create a CMIP7 monthly sea surface temperature file (`tos_tavg-u-hxy-sea`) using `cmor.grid` with two-dimensional latitude and longitude coordinates."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-30T00:14:12.709151Z",
-     "iopub.status.busy": "2026-05-30T00:14:12.709028Z",
-     "iopub.status.idle": "2026-05-30T00:14:13.195503Z",
-     "shell.execute_reply": "2026-05-30T00:14:13.195034Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Using CMIP7 tables from ../cmip7-cmor-tables/tables\n"
-     ]
-    }
-   ],
-   "source": [
-    "from pathlib import Path\n",
-    "import json\n",
-    "import shutil\n",
-    "\n",
-    "import cmor\n",
-    "from IPython.display import display\n",
-    "import matplotlib.pyplot as plt\n",
-    "from mpl_toolkits.basemap import Basemap\n",
-    "import numpy as np\n",
-    "import xarray as xr\n",
-    "\n",
-    "TABLES_DIR = \"../cmip7-cmor-tables/tables\"\n",
-    "CV_PATH = \"../cmip7-cmor-tables/tables-cvs/cmor-cvs.json\"\n",
-    "if not Path(TABLES_DIR).exists():\n",
-    "    raise FileNotFoundError(f\"CMIP7 tables directory not found: {TABLES_DIR}\")\n",
-    "if not Path(CV_PATH).exists():\n",
-    "    raise FileNotFoundError(f\"CMIP7 CV file not found: {CV_PATH}\")\n",
-    "\n",
-    "print(f\"Using CMIP7 tables from {TABLES_DIR}\")\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-30T00:14:13.197014Z",
-     "iopub.status.busy": "2026-05-30T00:14:13.196874Z",
-     "iopub.status.idle": "2026-05-30T00:14:13.215944Z",
-     "shell.execute_reply": "2026-05-30T00:14:13.215512Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(2, 18, 36)\n"
-     ]
-    }
-   ],
-   "source": [
-    "run_dir = Path(\"output\") / \"05_curvilinear_ocean_grid\"\n",
-    "if run_dir.exists():\n",
-    "    shutil.rmtree(run_dir)\n",
-    "output_dir = run_dir / \"cmor_output\"\n",
-    "output_dir.mkdir(parents=True)\n",
-    "\n",
-    "DATASET_INFO = {\n",
-    "    \"_AXIS_ENTRY_FILE\": \"CMIP7_coordinate.json\",\n",
-    "    \"_FORMULA_VAR_FILE\": \"CMIP7_formula_terms.json\",\n",
-    "    \"_cmip7_option\": 1,\n",
-    "    \"_controlled_vocabulary_file\": CV_PATH,\n",
-    "    \"activity_id\": \"CMIP\",\n",
-    "    \"calendar\": \"360_day\",\n",
-    "    \"experiment_id\": \"amip\",\n",
-    "    \"forcing_index\": \"f3\",\n",
-    "    \"frequency\": \"mon\",\n",
-    "    \"grid_label\": \"g999\",\n",
-    "    \"host_collection\": \"CMIP7\",\n",
-    "    \"initialization_index\": \"i1\",\n",
-    "    \"institution_id\": \"CCCma\",\n",
-    "    \"license_id\": \"CC-BY-4.0\",\n",
-    "    \"nominal_resolution\": \"100 km\",\n",
-    "    \"outpath\": str(output_dir),\n",
-    "    \"physics_index\": \"p1\",\n",
-    "    \"realization_index\": \"r9\",\n",
-    "    \"region\": \"glb\",\n",
-    "    \"source_id\": \"DUMMY-MODEL\",\n",
-    "}\n",
-    "input_json = run_dir / \"input.json\"\n",
-    "input_json.write_text(json.dumps(DATASET_INFO, indent=2, sort_keys=True))\n",
-    "\n",
-    "ny, nx = 18, 36\n",
-    "y = np.arange(ny, dtype=\"f8\")\n",
-    "x = np.arange(nx, dtype=\"f8\")\n",
-    "lat_centers = -85.0 + 10.0 * np.arange(ny, dtype=\"f8\")\n",
-    "lon_centers = 5.0 + 10.0 * np.arange(nx, dtype=\"f8\")\n",
-    "lon_grid, lat_grid = np.meshgrid(lon_centers, lat_centers)\n",
-    "latitude = np.clip(lat_grid + 1.5 * np.sin(np.deg2rad(lon_grid)) * np.cos(np.deg2rad(lat_grid)), -90.0, 90.0)\n",
-    "longitude = (lon_grid + 1.5 * np.sin(np.deg2rad(lat_grid))) % 360.0\n",
-    "\n",
-    "lat_edges = -90.0 + 10.0 * np.arange(ny + 1, dtype=\"f8\")\n",
-    "lon_edges = 10.0 * np.arange(nx + 1, dtype=\"f8\")\n",
-    "latitude_vertices = np.empty((ny, nx, 4), dtype=\"f8\")\n",
-    "longitude_vertices = np.empty((ny, nx, 4), dtype=\"f8\")\n",
-    "for j in range(ny):\n",
-    "    for i in range(nx):\n",
-    "        corners = [\n",
-    "            (lat_edges[j], lon_edges[i]),\n",
-    "            (lat_edges[j], lon_edges[i + 1]),\n",
-    "            (lat_edges[j + 1], lon_edges[i + 1]),\n",
-    "            (lat_edges[j + 1], lon_edges[i]),\n",
-    "        ]\n",
-    "        for vertex, (lat_value, lon_value) in enumerate(corners):\n",
-    "            latitude_vertices[j, i, vertex] = np.clip(\n",
-    "                lat_value + 1.5 * np.sin(np.deg2rad(lon_value)) * np.cos(np.deg2rad(lat_value)),\n",
-    "                -90.0,\n",
-    "                90.0,\n",
-    "            )\n",
-    "            longitude_vertices[j, i, vertex] = (lon_value + 1.5 * np.sin(np.deg2rad(lat_value))) % 360.0\n",
-    "\n",
-    "time = 15.0 + 30.0 * np.arange(2, dtype=\"f8\")\n",
-    "time_bnds = 30.0 * np.arange(3, dtype=\"f8\")\n",
-    "time_units = \"days since 2018-01-01\"\n",
-    "\n",
-    "seasonal_cycle = np.array([0.0, 0.8], dtype=\"f4\")[:, None, None]\n",
-    "tos = (\n",
-    "    15.0\n",
-    "    - 25.0 * np.sin(np.deg2rad(latitude))[None, :, :] ** 2\n",
-    "    + 1.5 * np.cos(np.deg2rad(longitude))[None, :, :]\n",
-    "    + seasonal_cycle\n",
-    ").astype(\"f4\")\n",
-    "\n",
-    "print(tos.shape)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-30T00:14:13.217262Z",
-     "iopub.status.busy": "2026-05-30T00:14:13.217169Z",
-     "iopub.status.idle": "2026-05-30T00:14:13.289051Z",
-     "shell.execute_reply": "2026-05-30T00:14:13.288605Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "output/05_curvilinear_ocean_grid/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tos/tavg-u-hxy-sea/g999/v20260529/tos_tavg-u-hxy-sea_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201801-201802.nc\n"
-     ]
-    }
-   ],
-   "source": [
-    "cmor.setup(\n",
-    "    inpath=TABLES_DIR,\n",
-    "    netcdf_file_action=cmor.CMOR_REPLACE,\n",
-    "    logfile=str(run_dir / \"cmor.log\"),\n",
-    ")\n",
-    "cmor.dataset_json(str(input_json))\n",
-    "\n",
-    "grid_table = cmor.load_table(\"CMIP7_grids.json\")\n",
-    "ocean_table = cmor.load_table(\"CMIP7_ocean.json\")\n",
-    "\n",
-    "cmor.set_table(grid_table)\n",
-    "y_id = cmor.axis(\"y\", coord_vals=y, units=\"m\")\n",
-    "x_id = cmor.axis(\"x\", coord_vals=x, units=\"m\")\n",
-    "grid_id = cmor.grid(\n",
-    "    axis_ids=[y_id, x_id],\n",
-    "    latitude=latitude,\n",
-    "    longitude=longitude,\n",
-    "    latitude_vertices=latitude_vertices,\n",
-    "    longitude_vertices=longitude_vertices,\n",
-    ")\n",
-    "\n",
-    "cmor.set_table(ocean_table)\n",
-    "time_id = cmor.axis(\"time\", coord_vals=time, cell_bounds=time_bnds, units=time_units)\n",
-    "\n",
-    "variable_name = \"tos_tavg-u-hxy-sea\"\n",
-    "tos_id = cmor.variable(variable_name, \"degC\", [time_id, grid_id])\n",
-    "compound_name = \".\".join([\"ocean\"] + variable_name.split(\"_\") + [\"mon\", \"glb\"])\n",
-    "\n",
-    "with open(Path(TABLES_DIR) / \"CMIP7_cell_measures.json\") as handle:\n",
-    "    cell_measure = json.load(handle)[\"cell_measures\"].get(compound_name)\n",
-    "if cell_measure:\n",
-    "    cmor.set_variable_attribute(tos_id, \"cell_measures\", \"c\", cell_measure)\n",
-    "\n",
-    "with open(Path(TABLES_DIR) / \"CMIP7_long_name_overrides.json\") as handle:\n",
-    "    long_name = json.load(handle)[\"long_name_overrides\"].get(compound_name)\n",
-    "if long_name:\n",
-    "    cmor.set_variable_attribute(tos_id, \"long_name\", \"c\", long_name)\n",
-    "\n",
-    "cmor.write(tos_id, tos)\n",
-    "netcdf_path = Path(cmor.close(tos_id, file_name=True))\n",
-    "cmor.close()\n",
-    "\n",
-    "print(netcdf_path.resolve().relative_to(Path.cwd().resolve()))\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
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-     "iopub.execute_input": "2026-05-30T00:14:13.290229Z",
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-     "iopub.status.idle": "2026-05-30T00:14:13.416285Z",
-     "shell.execute_reply": "2026-05-30T00:14:13.415901Z"
-    }
-   },
-   "outputs": [
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-       "\n",
-       ".xr-section-summary-in:checked + label:before {\n",
-       "  content: \"▼\";\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label > span {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary,\n",
-       ".xr-section-inline-details,\n",
-       ".xr-group-box-contents > label {\n",
-       "  padding-top: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-inline-details {\n",
-       "  grid-column: 2 / -1;\n",
-       "}\n",
-       "\n",
-       ".xr-section-details {\n",
-       "  grid-column: 1 / -1;\n",
-       "  margin-top: 4px;\n",
-       "  margin-bottom: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in ~ .xr-section-details {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-children {\n",
-       "  display: inline-grid;\n",
-       "  grid-template-columns: 100%;\n",
-       "  grid-column: 1 / -1;\n",
-       "  padding-top: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box {\n",
-       "  display: inline-grid;\n",
-       "  grid-template-columns: 0px 30px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-vline {\n",
-       "  grid-column-start: 1;\n",
-       "  border-right: 0.2em solid;\n",
-       "  border-color: var(--xr-border-color);\n",
-       "  width: 0px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-hline {\n",
-       "  grid-column-start: 2;\n",
-       "  grid-row-start: 1;\n",
-       "  height: 1em;\n",
-       "  width: 26px;\n",
-       "  border-bottom: 0.2em solid;\n",
-       "  border-color: var(--xr-border-color);\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents {\n",
-       "  grid-column-start: 3;\n",
-       "  padding-bottom: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > label::before {\n",
-       "  content: \"📂\";\n",
-       "  padding-right: 0.3em;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input:checked + label::before {\n",
-       "  content: \"📁\";\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input:checked + label {\n",
-       "  padding-bottom: 0px;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-contents > input + label > span {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-group-box-ellipsis {\n",
-       "  font-size: 1.4em;\n",
-       "  font-weight: 900;\n",
-       "  color: var(--xr-font-color2);\n",
-       "  letter-spacing: 0.15em;\n",
-       "  cursor: default;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap {\n",
-       "  grid-column: 1 / -1;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 20px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap > label {\n",
-       "  grid-column: 1;\n",
-       "  vertical-align: top;\n",
-       "}\n",
-       "\n",
-       ".xr-preview {\n",
-       "  color: var(--xr-font-color3);\n",
-       "}\n",
-       "\n",
-       ".xr-array-preview,\n",
-       ".xr-array-data {\n",
-       "  padding: 0 5px !important;\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-array-data,\n",
-       ".xr-array-in:checked ~ .xr-array-preview {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-array-in:checked ~ .xr-array-data,\n",
-       ".xr-array-preview {\n",
-       "  display: inline-block;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list {\n",
-       "  display: inline-block !important;\n",
-       "  list-style: none;\n",
-       "  padding: 0 !important;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li {\n",
-       "  display: inline-block;\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:before {\n",
-       "  content: \"(\";\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:after {\n",
-       "  content: \")\";\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: \",\";\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-has-index {\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list,\n",
-       ".xr-var-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > div,\n",
-       ".xr-var-item label,\n",
-       ".xr-var-item > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-even);\n",
-       "  border-color: var(--xr-background-color-row-odd);\n",
-       "  margin-bottom: 0;\n",
-       "  padding-top: 2px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list > li:nth-child(odd) > div,\n",
-       ".xr-var-list > li:nth-child(odd) > label,\n",
-       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-odd);\n",
-       "  border-color: var(--xr-background-color-row-even);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name {\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dims {\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  border-top: 2px dotted var(--xr-background-color);\n",
-       "  padding-bottom: 20px !important;\n",
-       "  padding-top: 10px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in + label,\n",
-       ".xr-var-data-in + label,\n",
-       ".xr-index-data-in + label {\n",
-       "  padding: 0 1px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > pre,\n",
-       ".xr-index-data > pre,\n",
-       ".xr-var-data > table > tbody > tr {\n",
-       "  background-color: transparent !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
-       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
-       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
-       "  color: var(--xr-font-color0);\n",
-       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
-       "  stroke-width: 0.8px;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 58kB\n",
-       "Dimensions:             (time: 2, bnds: 2, y: 18, x: 36, vertices: 4)\n",
-       "Coordinates:\n",
-       "  * time                (time) float64 16B 15.0 45.0\n",
-       "  * y                   (y) float64 144B 0.0 1.0 2.0 3.0 ... 14.0 15.0 16.0 17.0\n",
-       "  * x                   (x) float64 288B 0.0 1.0 2.0 3.0 ... 32.0 33.0 34.0 35.0\n",
-       "    latitude            (y, x) float64 5kB -84.99 -84.97 -84.94 ... 84.97 84.99\n",
-       "    longitude           (y, x) float64 5kB 3.506 13.51 23.51 ... 346.5 356.5\n",
-       "Dimensions without coordinates: bnds, vertices\n",
-       "Data variables:\n",
-       "    time_bnds           (time, bnds) float64 32B 0.0 30.0 30.0 60.0\n",
-       "    vertices_latitude   (y, x, vertices) float64 21kB -90.0 -90.0 ... 90.0 90.0\n",
-       "    vertices_longitude  (y, x, vertices) float64 21kB 358.5 8.5 ... 1.5 351.5\n",
-       "    tos                 (time, y, x) float32 5kB -8.312 -8.349 ... -7.549 -7.512\n",
-       "Attributes:\n",
-       "    Conventions:           CF-1.12\n",
-       "    activity_id:           CMIP\n",
-       "    area_label:            sea\n",
-       "    branded_variable:      tos_tavg-u-hxy-sea\n",
-       "    branding_suffix:       tavg-u-hxy-sea\n",
-       "    creation_date:         2026-05-30T00:14:13Z\n",
-       "    data_specs_version:    MIP-DS7.1.0.0\n",
-       "    description:           Simulation of the climate of the recent past with ...\n",
-       "    drs_specs:             MIP-DRS7\n",
-       "    experiment:            Simulation of the climate of the recent past with ...\n",
-       "    experiment_id:         amip\n",
-       "    external_variables:    areacello\n",
-       "    forcing_index:         f3\n",
-       "    frequency:             mon\n",
-       "    grid_label:            g999\n",
-       "    history:               2026-05-30T00:14:13Z ; CMOR rewrote data to be con...\n",
-       "    horizontal_label:      hxy\n",
-       "    host_collection:       CMIP7\n",
-       "    initialization_index:  i1\n",
-       "    institution:           Environment and Climate Change Canada\n",
-       "    institution_id:        CCCma\n",
-       "    license_id:            CC-BY-4.0\n",
-       "    mip_era:               CMIP7\n",
-       "    nominal_resolution:    100 km\n",
-       "    physics_index:         p1\n",
-       "    product:               model-output\n",
-       "    realization_index:     r9\n",
-       "    realm:                 ocean\n",
-       "    region:                glb\n",
-       "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
-       "    source_id:             DUMMY-MODEL\n",
-       "    table_info:            Name: CMIP7_ocean.json; Creation Date:(2026-04-21 ...\n",
-       "    temporal_label:        tavg\n",
-       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/4503abaf-ec95-4eca-90bc-32947b98344e\n",
-       "    variable_id:           tos\n",
-       "    variant_label:         r9i1p1f3\n",
-       "    vertical_label:        u\n",
-       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0bc38d21-c78a-4da8-98e2-4a208d2816c6' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-0bc38d21-c78a-4da8-98e2-4a208d2816c6' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>y</span>: 18</li><li><span class='xr-has-index'>x</span>: 36</li><li><span>vertices</span>: 4</li></ul></div></li><li class='xr-section-item'><input id='section-90982b87-bfd5-41db-bb7c-e9b783ee9888' class='xr-section-summary-in' type='checkbox' checked /><label for='section-90982b87-bfd5-41db-bb7c-e9b783ee9888' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 45.0</div><input id='attrs-9baa5680-8441-4928-934e-f1a51e07c7b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9baa5680-8441-4928-934e-f1a51e07c7b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-244a8939-aeaf-4726-ab48-189910cc489b' class='xr-var-data-in' type='checkbox'><label for='data-244a8939-aeaf-4726-ab48-189910cc489b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 2018-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15., 45.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 15.0 16.0 17.0</div><input id='attrs-49e04825-b9a3-49c4-bc35-d246487a5a62' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49e04825-b9a3-49c4-bc35-d246487a5a62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9b663b7-857a-46cf-9c53-30c615ea74be' class='xr-var-data-in' type='checkbox'><label for='data-e9b663b7-857a-46cf-9c53-30c615ea74be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
-       "       14., 15., 16., 17.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 33.0 34.0 35.0</div><input id='attrs-8ee2e9be-fd70-4f60-89c6-e6ffb1914594' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ee2e9be-fd70-4f60-89c6-e6ffb1914594' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81307e84-29aa-49c6-a3e8-c244f8acb05a' class='xr-var-data-in' type='checkbox'><label for='data-81307e84-29aa-49c6-a3e8-c244f8acb05a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
-       "       14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27.,\n",
-       "       28., 29., 30., 31., 32., 33., 34., 35.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-84.99 -84.97 ... 84.97 84.99</div><input id='attrs-efb89973-dc58-40d0-99ac-50b9db8a15be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-efb89973-dc58-40d0-99ac-50b9db8a15be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cc2fcf1-d344-4010-b5f0-de33308bf9d4' class='xr-var-data-in' type='checkbox'><label for='data-5cc2fcf1-d344-4010-b5f0-de33308bf9d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>bounds :</span></dt><dd>vertices_latitude</dd></dl></div><div class='xr-var-data'><pre>array([[-84.98860581, -84.96616365, -84.94474959, -84.92501428,\n",
-       "        -84.90755737, -84.89290929, -84.88151511, -84.87372103,\n",
-       "        -84.86976387, -84.86976387, -84.87372103, -84.88151511,\n",
-       "        -84.89290929, -84.90755737, -84.92501428, -84.94474959,\n",
-       "        -84.96616365, -84.98860581, -85.01139419, -85.03383635,\n",
-       "        -85.05525041, -85.07498572, -85.09244263, -85.10709071,\n",
-       "        -85.11848489, -85.12627897, -85.13023613, -85.13023613,\n",
-       "        -85.12627897, -85.11848489, -85.10709071, -85.09244263,\n",
-       "        -85.07498572, -85.05525041, -85.03383635, -85.01139419],\n",
-       "       [-74.96616365, -74.89951905, -74.83592752, -74.77732124,\n",
-       "        -74.72548095, -74.68198178, -74.64814543, -74.625     ,\n",
-       "        -74.61324876, -74.61324876, -74.625     , -74.64814543,\n",
-       "        -74.68198178, -74.72548095, -74.77732124, -74.83592752,\n",
-       "        -74.89951905, -74.96616365, -75.03383635, -75.10048095,\n",
-       "        -75.16407248, -75.22267876, -75.27451905, -75.31801822,\n",
-       "        -75.35185457, -75.375     , -75.38675124, -75.38675124,\n",
-       "        -75.375     , -75.35185457, -75.31801822, -75.27451905,\n",
-       "        -75.22267876, -75.16407248, -75.10048095, -75.03383635],\n",
-       "       [-64.94474959, -64.83592752, -64.73209071, -64.63639419,\n",
-       "        -64.55174564, -64.48071708, -64.42546667, -64.38767316,\n",
-       "...\n",
-       "         64.38767316,  64.42546667,  64.48071708,  64.55174564,\n",
-       "         64.63639419,  64.73209071,  64.83592752,  64.94474959],\n",
-       "       [ 75.03383635,  75.10048095,  75.16407248,  75.22267876,\n",
-       "         75.27451905,  75.31801822,  75.35185457,  75.375     ,\n",
-       "         75.38675124,  75.38675124,  75.375     ,  75.35185457,\n",
-       "         75.31801822,  75.27451905,  75.22267876,  75.16407248,\n",
-       "         75.10048095,  75.03383635,  74.96616365,  74.89951905,\n",
-       "         74.83592752,  74.77732124,  74.72548095,  74.68198178,\n",
-       "         74.64814543,  74.625     ,  74.61324876,  74.61324876,\n",
-       "         74.625     ,  74.64814543,  74.68198178,  74.72548095,\n",
-       "         74.77732124,  74.83592752,  74.89951905,  74.96616365],\n",
-       "       [ 85.01139419,  85.03383635,  85.05525041,  85.07498572,\n",
-       "         85.09244263,  85.10709071,  85.11848489,  85.12627897,\n",
-       "         85.13023613,  85.13023613,  85.12627897,  85.11848489,\n",
-       "         85.10709071,  85.09244263,  85.07498572,  85.05525041,\n",
-       "         85.03383635,  85.01139419,  84.98860581,  84.96616365,\n",
-       "         84.94474959,  84.92501428,  84.90755737,  84.89290929,\n",
-       "         84.88151511,  84.87372103,  84.86976387,  84.86976387,\n",
-       "         84.87372103,  84.88151511,  84.89290929,  84.90755737,\n",
-       "         84.92501428,  84.94474959,  84.96616365,  84.98860581]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.506 13.51 23.51 ... 346.5 356.5</div><input id='attrs-db590971-845a-40e3-83aa-8302b3835859' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db590971-845a-40e3-83aa-8302b3835859' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2bd8b46-b90b-4747-8578-f05f4da73f09' class='xr-var-data-in' type='checkbox'><label for='data-a2bd8b46-b90b-4747-8578-f05f4da73f09' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>bounds :</span></dt><dd>vertices_longitude</dd></dl></div><div class='xr-var-data'><pre>array([[  3.50570795,  13.50570795,  23.50570795,  33.50570795,\n",
-       "         43.50570795,  53.50570795,  63.50570795,  73.50570795,\n",
-       "         83.50570795,  93.50570795, 103.50570795, 113.50570795,\n",
-       "        123.50570795, 133.50570795, 143.50570795, 153.50570795,\n",
-       "        163.50570795, 173.50570795, 183.50570795, 193.50570795,\n",
-       "        203.50570795, 213.50570795, 223.50570795, 233.50570795,\n",
-       "        243.50570795, 253.50570795, 263.50570795, 273.50570795,\n",
-       "        283.50570795, 293.50570795, 303.50570795, 313.50570795,\n",
-       "        323.50570795, 333.50570795, 343.50570795, 353.50570795],\n",
-       "       [  3.55111126,  13.55111126,  23.55111126,  33.55111126,\n",
-       "         43.55111126,  53.55111126,  63.55111126,  73.55111126,\n",
-       "         83.55111126,  93.55111126, 103.55111126, 113.55111126,\n",
-       "        123.55111126, 133.55111126, 143.55111126, 153.55111126,\n",
-       "        163.55111126, 173.55111126, 183.55111126, 193.55111126,\n",
-       "        203.55111126, 213.55111126, 223.55111126, 233.55111126,\n",
-       "        243.55111126, 253.55111126, 263.55111126, 273.55111126,\n",
-       "        283.55111126, 293.55111126, 303.55111126, 313.55111126,\n",
-       "        323.55111126, 333.55111126, 343.55111126, 353.55111126],\n",
-       "       [  3.64053832,  13.64053832,  23.64053832,  33.64053832,\n",
-       "         43.64053832,  53.64053832,  63.64053832,  73.64053832,\n",
-       "...\n",
-       "        286.35946168, 296.35946168, 306.35946168, 316.35946168,\n",
-       "        326.35946168, 336.35946168, 346.35946168, 356.35946168],\n",
-       "       [  6.44888874,  16.44888874,  26.44888874,  36.44888874,\n",
-       "         46.44888874,  56.44888874,  66.44888874,  76.44888874,\n",
-       "         86.44888874,  96.44888874, 106.44888874, 116.44888874,\n",
-       "        126.44888874, 136.44888874, 146.44888874, 156.44888874,\n",
-       "        166.44888874, 176.44888874, 186.44888874, 196.44888874,\n",
-       "        206.44888874, 216.44888874, 226.44888874, 236.44888874,\n",
-       "        246.44888874, 256.44888874, 266.44888874, 276.44888874,\n",
-       "        286.44888874, 296.44888874, 306.44888874, 316.44888874,\n",
-       "        326.44888874, 336.44888874, 346.44888874, 356.44888874],\n",
-       "       [  6.49429205,  16.49429205,  26.49429205,  36.49429205,\n",
-       "         46.49429205,  56.49429205,  66.49429205,  76.49429205,\n",
-       "         86.49429205,  96.49429205, 106.49429205, 116.49429205,\n",
-       "        126.49429205, 136.49429205, 146.49429205, 156.49429205,\n",
-       "        166.49429205, 176.49429205, 186.49429205, 196.49429205,\n",
-       "        206.49429205, 216.49429205, 226.49429205, 236.49429205,\n",
-       "        246.49429205, 256.49429205, 266.49429205, 276.49429205,\n",
-       "        286.49429205, 296.49429205, 306.49429205, 316.49429205,\n",
-       "        326.49429205, 336.49429205, 346.49429205, 356.49429205]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-33ac48b7-8f79-4793-8c75-e5012071796f' class='xr-section-summary-in' type='checkbox' checked /><label for='section-33ac48b7-8f79-4793-8c75-e5012071796f' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 30.0 60.0</div><input id='attrs-8fc87222-1cb9-4e13-8b18-d9cc49abe917' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8fc87222-1cb9-4e13-8b18-d9cc49abe917' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-93e0509d-752c-4fcf-a8d9-ca1b2285c3bc' class='xr-var-data-in' type='checkbox'><label for='data-93e0509d-752c-4fcf-a8d9-ca1b2285c3bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0., 30.],\n",
-       "       [30., 60.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_latitude</span></div><div class='xr-var-dims'>(y, x, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -90.0 -79.95 ... 90.0 90.0</div><input id='attrs-8863f7ce-0800-490c-8b41-6751511a7b96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8863f7ce-0800-490c-8b41-6751511a7b96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c59c2cf5-c467-432a-9dab-e52b249c581c' class='xr-var-data-in' type='checkbox'><label for='data-c59c2cf5-c467-432a-9dab-e52b249c581c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[[-90.        , -90.        , -79.95476947, -80.        ],\n",
-       "        [-90.        , -90.        , -79.91091324, -79.95476947],\n",
-       "        [-90.        , -90.        , -79.86976387, -79.91091324],\n",
-       "        ...,\n",
-       "        [-90.        , -90.        , -80.08908676, -80.13023613],\n",
-       "        [-90.        , -90.        , -80.04523053, -80.08908676],\n",
-       "        [-90.        , -90.        , -80.        , -80.04523053]],\n",
-       "\n",
-       "       [[-80.        , -79.95476947, -69.91091324, -70.        ],\n",
-       "        [-79.95476947, -79.91091324, -69.82453333, -69.91091324],\n",
-       "        [-79.91091324, -79.86976387, -69.74348489, -69.82453333],\n",
-       "        ...,\n",
-       "        [-80.13023613, -80.08908676, -70.17546667, -70.25651511],\n",
-       "        [-80.08908676, -80.04523053, -70.08908676, -70.17546667],\n",
-       "        [-80.04523053, -80.        , -70.        , -70.08908676]],\n",
-       "\n",
-       "       [[-70.        , -69.91091324, -59.86976387, -60.        ],\n",
-       "        [-69.91091324, -69.82453333, -59.74348489, -59.86976387],\n",
-       "        [-69.82453333, -69.74348489, -59.625     , -59.74348489],\n",
-       "        ...,\n",
-       "...\n",
-       "        [ 59.625     ,  59.74348489,  69.82453333,  69.74348489],\n",
-       "        [ 59.74348489,  59.86976387,  69.91091324,  69.82453333],\n",
-       "        [ 59.86976387,  60.        ,  70.        ,  69.91091324]],\n",
-       "\n",
-       "       [[ 70.        ,  70.08908676,  80.04523053,  80.        ],\n",
-       "        [ 70.08908676,  70.17546667,  80.08908676,  80.04523053],\n",
-       "        [ 70.17546667,  70.25651511,  80.13023613,  80.08908676],\n",
-       "        ...,\n",
-       "        [ 69.74348489,  69.82453333,  79.91091324,  79.86976387],\n",
-       "        [ 69.82453333,  69.91091324,  79.95476947,  79.91091324],\n",
-       "        [ 69.91091324,  70.        ,  80.        ,  79.95476947]],\n",
-       "\n",
-       "       [[ 80.        ,  80.04523053,  90.        ,  90.        ],\n",
-       "        [ 80.04523053,  80.08908676,  90.        ,  90.        ],\n",
-       "        [ 80.08908676,  80.13023613,  90.        ,  90.        ],\n",
-       "        ...,\n",
-       "        [ 79.86976387,  79.91091324,  90.        ,  90.        ],\n",
-       "        [ 79.91091324,  79.95476947,  90.        ,  90.        ],\n",
-       "        [ 79.95476947,  80.        ,  90.        ,  90.        ]]],\n",
-       "      shape=(18, 36, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_longitude</span></div><div class='xr-var-dims'>(y, x, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>358.5 8.5 8.523 ... 1.477 1.5 351.5</div><input id='attrs-2bb646d8-8b1b-4065-a2d8-57eccfb0c763' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2bb646d8-8b1b-4065-a2d8-57eccfb0c763' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-578053c5-582b-4d16-87e0-d8f87f31f125' class='xr-var-data-in' type='checkbox'><label for='data-578053c5-582b-4d16-87e0-d8f87f31f125' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[[358.5       ,   8.5       ,   8.52278837, 358.52278837],\n",
-       "        [  8.5       ,  18.5       ,  18.52278837,   8.52278837],\n",
-       "        [ 18.5       ,  28.5       ,  28.52278837,  18.52278837],\n",
-       "        ...,\n",
-       "        [328.5       , 338.5       , 338.52278837, 328.52278837],\n",
-       "        [338.5       , 348.5       , 348.52278837, 338.52278837],\n",
-       "        [348.5       , 358.5       , 358.52278837, 348.52278837]],\n",
-       "\n",
-       "       [[358.52278837,   8.52278837,   8.59046107, 358.59046107],\n",
-       "        [  8.52278837,  18.52278837,  18.59046107,   8.59046107],\n",
-       "        [ 18.52278837,  28.52278837,  28.59046107,  18.59046107],\n",
-       "        ...,\n",
-       "        [328.52278837, 338.52278837, 338.59046107, 328.59046107],\n",
-       "        [338.52278837, 348.52278837, 348.59046107, 338.59046107],\n",
-       "        [348.52278837, 358.52278837, 358.59046107, 348.59046107]],\n",
-       "\n",
-       "       [[358.59046107,   8.59046107,   8.70096189, 358.70096189],\n",
-       "        [  8.59046107,  18.59046107,  18.70096189,   8.70096189],\n",
-       "        [ 18.59046107,  28.59046107,  28.70096189,  18.70096189],\n",
-       "        ...,\n",
-       "...\n",
-       "        [331.29903811, 341.29903811, 341.40953893, 331.40953893],\n",
-       "        [341.29903811, 351.29903811, 351.40953893, 341.40953893],\n",
-       "        [351.29903811,   1.29903811,   1.40953893, 351.40953893]],\n",
-       "\n",
-       "       [[  1.40953893,  11.40953893,  11.47721163,   1.47721163],\n",
-       "        [ 11.40953893,  21.40953893,  21.47721163,  11.47721163],\n",
-       "        [ 21.40953893,  31.40953893,  31.47721163,  21.47721163],\n",
-       "        ...,\n",
-       "        [331.40953893, 341.40953893, 341.47721163, 331.47721163],\n",
-       "        [341.40953893, 351.40953893, 351.47721163, 341.47721163],\n",
-       "        [351.40953893,   1.40953893,   1.47721163, 351.47721163]],\n",
-       "\n",
-       "       [[  1.47721163,  11.47721163,  11.5       ,   1.5       ],\n",
-       "        [ 11.47721163,  21.47721163,  21.5       ,  11.5       ],\n",
-       "        [ 21.47721163,  31.47721163,  31.5       ,  21.5       ],\n",
-       "        ...,\n",
-       "        [331.47721163, 341.47721163, 341.5       , 331.5       ],\n",
-       "        [341.47721163, 351.47721163, 351.5       , 341.5       ],\n",
-       "        [351.47721163,   1.47721163,   1.5       , 351.5       ]]],\n",
-       "      shape=(18, 36, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-8.312 -8.349 ... -7.549 -7.512</div><input id='attrs-60e1f85c-0d99-4d94-bc3b-83e485e28176' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60e1f85c-0d99-4d94-bc3b-83e485e28176' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad47af87-b8eb-4396-8dae-31bb3f959a12' class='xr-var-data-in' type='checkbox'><label for='data-ad47af87-b8eb-4396-8dae-31bb3f959a12' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd></dl></div><div class='xr-var-data'><pre>array([[[-8.312039 , -8.349005 , -8.430357 , ..., -8.471792 ,\n",
-       "         -8.37438  , -8.320584 ],\n",
-       "        [-6.820808 , -6.8450875, -6.914289 , ..., -7.0179367,\n",
-       "         -6.9085636, -6.842183 ],\n",
-       "        [-4.0193896, -4.022181 , -4.0708275, ..., -4.280002 ,\n",
-       "         -4.150284 , -4.0625277],\n",
-       "        ...,\n",
-       "        [-4.0625277, -4.150284 , -4.280002 , ..., -4.0708275,\n",
-       "         -4.022181 , -4.0193896],\n",
-       "        [-6.842183 , -6.9085636, -7.0179367, ..., -6.914289 ,\n",
-       "         -6.8450875, -6.820808 ],\n",
-       "        [-8.320584 , -8.37438  , -8.471792 , ..., -8.430357 ,\n",
-       "         -8.349005 , -8.312039 ]],\n",
-       "\n",
-       "       [[-7.5120397, -7.5490046, -7.6303573, ..., -7.671792 ,\n",
-       "         -7.57438  , -7.5205846],\n",
-       "        [-6.020808 , -6.0450873, -6.1142893, ..., -6.217937 ,\n",
-       "         -6.1085634, -6.0421834],\n",
-       "        [-3.2193897, -3.2221808, -3.2708275, ..., -3.480002 ,\n",
-       "         -3.350284 , -3.2625277],\n",
-       "        ...,\n",
-       "        [-3.2625277, -3.350284 , -3.480002 , ..., -3.2708275,\n",
-       "         -3.2221808, -3.2193897],\n",
-       "        [-6.0421834, -6.1085634, -6.217937 , ..., -6.1142893,\n",
-       "         -6.0450873, -6.020808 ],\n",
-       "        [-7.5205846, -7.57438  , -7.671792 , ..., -7.6303573,\n",
-       "         -7.5490046, -7.5120397]]], shape=(2, 18, 36), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ef5e22f7-3272-4c7e-9d81-4235fc7c07ec' class='xr-section-summary-in' type='checkbox' checked /><label for='section-ef5e22f7-3272-4c7e-9d81-4235fc7c07ec' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>tos_tavg-u-hxy-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-sea</dd><dt><span>creation_date :</span></dt><dd>2026-05-30T00:14:13Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacello</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-30T00:14:13Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/4503abaf-ec95-4eca-90bc-32947b98344e</dd><dt><span>variable_id :</span></dt><dd>tos</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset> Size: 58kB\n",
-       "Dimensions:             (time: 2, bnds: 2, y: 18, x: 36, vertices: 4)\n",
-       "Coordinates:\n",
-       "  * time                (time) float64 16B 15.0 45.0\n",
-       "  * y                   (y) float64 144B 0.0 1.0 2.0 3.0 ... 14.0 15.0 16.0 17.0\n",
-       "  * x                   (x) float64 288B 0.0 1.0 2.0 3.0 ... 32.0 33.0 34.0 35.0\n",
-       "    latitude            (y, x) float64 5kB -84.99 -84.97 -84.94 ... 84.97 84.99\n",
-       "    longitude           (y, x) float64 5kB 3.506 13.51 23.51 ... 346.5 356.5\n",
-       "Dimensions without coordinates: bnds, vertices\n",
-       "Data variables:\n",
-       "    time_bnds           (time, bnds) float64 32B 0.0 30.0 30.0 60.0\n",
-       "    vertices_latitude   (y, x, vertices) float64 21kB -90.0 -90.0 ... 90.0 90.0\n",
-       "    vertices_longitude  (y, x, vertices) float64 21kB 358.5 8.5 ... 1.5 351.5\n",
-       "    tos                 (time, y, x) float32 5kB -8.312 -8.349 ... -7.549 -7.512\n",
-       "Attributes:\n",
-       "    Conventions:           CF-1.12\n",
-       "    activity_id:           CMIP\n",
-       "    area_label:            sea\n",
-       "    branded_variable:      tos_tavg-u-hxy-sea\n",
-       "    branding_suffix:       tavg-u-hxy-sea\n",
-       "    creation_date:         2026-05-30T00:14:13Z\n",
-       "    data_specs_version:    MIP-DS7.1.0.0\n",
-       "    description:           Simulation of the climate of the recent past with ...\n",
-       "    drs_specs:             MIP-DRS7\n",
-       "    experiment:            Simulation of the climate of the recent past with ...\n",
-       "    experiment_id:         amip\n",
-       "    external_variables:    areacello\n",
-       "    forcing_index:         f3\n",
-       "    frequency:             mon\n",
-       "    grid_label:            g999\n",
-       "    history:               2026-05-30T00:14:13Z ; CMOR rewrote data to be con...\n",
-       "    horizontal_label:      hxy\n",
-       "    host_collection:       CMIP7\n",
-       "    initialization_index:  i1\n",
-       "    institution:           Environment and Climate Change Canada\n",
-       "    institution_id:        CCCma\n",
-       "    license_id:            CC-BY-4.0\n",
-       "    mip_era:               CMIP7\n",
-       "    nominal_resolution:    100 km\n",
-       "    physics_index:         p1\n",
-       "    product:               model-output\n",
-       "    realization_index:     r9\n",
-       "    realm:                 ocean\n",
-       "    region:                glb\n",
-       "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
-       "    source_id:             DUMMY-MODEL\n",
-       "    table_info:            Name: CMIP7_ocean.json; Creation Date:(2026-04-21 ...\n",
-       "    temporal_label:        tavg\n",
-       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/4503abaf-ec95-4eca-90bc-32947b98344e\n",
-       "    variable_id:           tos\n",
-       "    variant_label:         r9i1p1f3\n",
-       "    vertical_label:        u\n",
-       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "with xr.open_dataset(netcdf_path, decode_times=False) as opened:\n",
-    "    ds = opened.load()\n",
-    "\n",
-    "with xr.set_options(\n",
-    "    display_style=\"html\",\n",
-    "    display_expand_attrs=True,\n",
-    "    display_expand_coords=True,\n",
-    "    display_expand_data_vars=True,\n",
-    "    display_max_rows=80,\n",
-    "):\n",
-    "    display(ds)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-30T00:14:13.417657Z",
-     "iopub.status.busy": "2026-05-30T00:14:13.417559Z",
-     "iopub.status.idle": "2026-05-30T00:14:13.552079Z",
-     "shell.execute_reply": "2026-05-30T00:14:13.551561Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1100x540 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, ax = plt.subplots(figsize=(11, 5.4))\n",
-    "map_plot = Basemap(\n",
-    "    projection=\"cyl\",\n",
-    "    llcrnrlon=-180,\n",
-    "    urcrnrlon=180,\n",
-    "    llcrnrlat=-90,\n",
-    "    urcrnrlat=90,\n",
-    "    resolution=\"c\",\n",
-    "    ax=ax,\n",
-    ")\n",
-    "map_plot.drawmapboundary(fill_color=\"#f7fbff\", linewidth=0.8)\n",
-    "longitude_wrapped = ((ds[\"longitude\"].values + 180.0) % 360.0) - 180.0\n",
-    "x_order = np.argsort(longitude_wrapped.mean(axis=0))\n",
-    "x, y = map_plot(longitude_wrapped[:, x_order], ds[\"latitude\"].values[:, x_order])\n",
-    "field = ds[\"tos\"].isel(time=0).values[:, x_order]\n",
-    "mesh = map_plot.pcolormesh(x, y, field, shading=\"auto\", cmap=\"coolwarm\")\n",
-    "map_plot.drawcoastlines(linewidth=0.7, color=\"0.15\")\n",
-    "map_plot.drawparallels(np.arange(-90, 91, 30), labels=[1, 0, 0, 0], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
-    "map_plot.drawmeridians(np.arange(-180, 181, 60), labels=[0, 0, 0, 1], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
-    "colorbar = map_plot.colorbar(mesh, location=\"right\", pad=\"5%\")\n",
-    "colorbar.set_label(\"degC\")\n",
-    "ax.set_title(\"CMIP7 tos on a curvilinear grid, first month\")\n",
-    "plt.show()\n"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.13.7"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/notebooks/05_ocean_heat_transport_by_basin.ipynb b/notebooks/05_ocean_heat_transport_by_basin.ipynb
new file mode 100644
index 00000000..f1b3f3bd
--- /dev/null
+++ b/notebooks/05_ocean_heat_transport_by_basin.ipynb
@@ -0,0 +1,1867 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Ocean Heat Transport By Basin\n",
+    "\n",
+    "Create a CMIP7 monthly northward ocean heat transport file (`htovgyre_tavg-u-hyb-sea`) using latitude and ocean basin coordinates read from a source dataset with xarray."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-30T19:33:34.475535Z",
+     "iopub.status.busy": "2026-05-30T19:33:34.475378Z",
+     "iopub.status.idle": "2026-05-30T19:33:34.900372Z",
+     "shell.execute_reply": "2026-05-30T19:33:34.899996Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Using CMIP7 tables from ../cmip7-cmor-tables/tables\n"
+     ]
+    }
+   ],
+   "source": [
+    "from pathlib import Path\n",
+    "import json\n",
+    "import shutil\n",
+    "\n",
+    "import cmor\n",
+    "from IPython.display import display\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import xarray as xr\n",
+    "\n",
+    "TABLES_DIR = \"../cmip7-cmor-tables/tables\"\n",
+    "CV_PATH = \"../cmip7-cmor-tables/tables-cvs/cmor-cvs.json\"\n",
+    "DATA_PATH = Path(\"data\") / \"htovgyre_Omon_UKESM1-0-LL_ssp370-lowNTCFCH4_r2i1p1f2_gnz_201501-204912.nc\"\n",
+    "if not Path(TABLES_DIR).exists():\n",
+    "    raise FileNotFoundError(f\"CMIP7 tables directory not found: {TABLES_DIR}\")\n",
+    "if not Path(CV_PATH).exists():\n",
+    "    raise FileNotFoundError(f\"CMIP7 CV file not found: {CV_PATH}\")\n",
+    "if not DATA_PATH.exists():\n",
+    "    raise FileNotFoundError(f\"Source data file not found: {DATA_PATH}\")\n",
+    "\n",
+    "print(f\"Using CMIP7 tables from {TABLES_DIR}\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-30T19:33:34.901765Z",
+     "iopub.status.busy": "2026-05-30T19:33:34.901638Z",
+     "iopub.status.idle": "2026-05-30T19:33:35.027410Z",
+     "shell.execute_reply": "2026-05-30T19:33:35.026862Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
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+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, white)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
+       "body[data-theme=\"dark\"],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "  line-height: 1.6;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "  margin-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-obj-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-group-box-contents > label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "  margin-block-start: 0;\n",
+       "  margin-block-end: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input,\n",
+       ".xr-group-box-contents > input,\n",
+       ".xr-array-wrap > input {\n",
+       "  display: block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input + label,\n",
+       ".xr-var-item > input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label,\n",
+       ".xr-var-item > input:enabled + label,\n",
+       ".xr-array-wrap > input:enabled + label,\n",
+       ".xr-group-box-contents > input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:focus-visible + label,\n",
+       ".xr-var-item > input:focus-visible + label,\n",
+       ".xr-array-wrap > input:focus-visible + label,\n",
+       ".xr-group-box-contents > input:focus-visible + label {\n",
+       "  outline: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label:hover,\n",
+       ".xr-var-item > input:enabled + label:hover,\n",
+       ".xr-array-wrap > input:enabled + label:hover,\n",
+       ".xr-group-box-contents > input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "  white-space: nowrap;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > em {\n",
+       "  font-weight: normal;\n",
+       "}\n",
+       "\n",
+       ".xr-span-grid {\n",
+       "  grid-column-end: -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.6em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details,\n",
+       ".xr-group-box-contents > label {\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-top: 4px;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in ~ .xr-section-details {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-children {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 100%;\n",
+       "  grid-column: 1 / -1;\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 0px 30px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-vline {\n",
+       "  grid-column-start: 1;\n",
+       "  border-right: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "  width: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-hline {\n",
+       "  grid-column-start: 2;\n",
+       "  grid-row-start: 1;\n",
+       "  height: 1em;\n",
+       "  width: 26px;\n",
+       "  border-bottom: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents {\n",
+       "  grid-column-start: 3;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > label::before {\n",
+       "  content: \"📂\";\n",
+       "  padding-right: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label::before {\n",
+       "  content: \"📁\";\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label {\n",
+       "  padding-bottom: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-ellipsis {\n",
+       "  font-size: 1.4em;\n",
+       "  font-weight: 900;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  letter-spacing: 0.15em;\n",
+       "  cursor: default;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 2MB\n",
+       "Dimensions:    (time: 420, bnds: 2, lat: 330, basin: 3)\n",
+       "Coordinates:\n",
+       "  * time       (time) float64 3kB 5.942e+04 5.944e+04 ... 7.196e+04 7.198e+04\n",
+       "  * lat        (lat) float64 3kB -85.35 -85.19 -85.04 ... 81.73 81.77 81.79\n",
+       "    sector     (basin) |S21 63B b&#x27;atlantic_arctic_ocean&#x27; ... b&#x27;indian_pacific...\n",
+       "Dimensions without coordinates: bnds, basin\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) float64 7kB 5.94e+04 5.943e+04 ... 7.197e+04 7.2e+04\n",
+       "    lat_bnds   (lat, bnds) float64 5kB -85.42 -85.27 -85.27 ... 81.78 81.78 81.8\n",
+       "    htovgyre   (time, basin, lat) float32 2MB nan nan nan nan ... nan nan nan\n",
+       "Attributes:\n",
+       "    Conventions:            CF-1.7 CMIP-6.2\n",
+       "    activity_id:            AerChemMIP\n",
+       "    branch_method:          standard\n",
+       "    branch_time_in_child:   59400.0\n",
+       "    branch_time_in_parent:  59400.0\n",
+       "    creation_date:          2020-08-21T14:28:52Z\n",
+       "    cv_version:             6.2.53.5\n",
+       "    data_specs_version:     01.00.31\n",
+       "    experiment:             SSP3-7.0, with low NTCF emissions and methane con...\n",
+       "    experiment_id:          ssp370-lowNTCFCH4\n",
+       "    forcing_index:          2\n",
+       "    frequency:              mon\n",
+       "    further_info_url:       https://furtherinfo.es-doc.org/CMIP6.MOHC.UKESM1-...\n",
+       "    grid:                   Native eORCA1 tripolar primarily 1 deg with merid...\n",
+       "    grid_label:             gnz\n",
+       "    history:                2020-08-21T14:24:56Z ; CMOR rewrote data to be co...\n",
+       "    initialization_index:   1\n",
+       "    institution:            Met Office Hadley Centre, Fitzroy Road, Exeter, D...\n",
+       "    institution_id:         MOHC\n",
+       "    mip_era:                CMIP6\n",
+       "    mo_runid:               u-bu258\n",
+       "    nominal_resolution:     100 km\n",
+       "    parent_activity_id:     CMIP\n",
+       "    parent_experiment_id:   historical\n",
+       "    parent_mip_era:         CMIP6\n",
+       "    parent_source_id:       UKESM1-0-LL\n",
+       "    parent_time_units:      days since 1850-01-01\n",
+       "    parent_variant_label:   r4i1p1f2\n",
+       "    physics_index:          1\n",
+       "    product:                model-output\n",
+       "    realization_index:      2\n",
+       "    realm:                  ocean\n",
+       "    source:                 UKESM1.0-LL (2018): \\naerosol: UKCA-GLOMAP-mode\\n...\n",
+       "    source_id:              UKESM1-0-LL\n",
+       "    source_type:            AOGCM AER BGC CHEM\n",
+       "    sub_experiment:         none\n",
+       "    sub_experiment_id:      none\n",
+       "    table_id:               Omon\n",
+       "    table_info:             Creation Date:(22 July 2019) MD5:4dd1814731b1436d...\n",
+       "    title:                  UKESM1-0-LL output prepared for CMIP6\n",
+       "    tracking_id:            hdl:21.14100/a774509f-e0a8-463b-a6ea-d77330aa8c17\n",
+       "    variable_id:            htovgyre\n",
+       "    variable_name:          htovgyre\n",
+       "    variant_label:          r2i1p1f2\n",
+       "    license:                CMIP6 model data produced by the Met Office Hadle...\n",
+       "    cmor_version:           3.4.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-46ab0ee7-cb10-43e8-9389-40d123b25c17' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-46ab0ee7-cb10-43e8-9389-40d123b25c17' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 420</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 330</li><li><span>basin</span>: 3</li></ul></div></li><li class='xr-section-item'><input id='section-66b117c6-7adf-4b61-88e9-cc6318abc56c' class='xr-section-summary-in' type='checkbox' checked /><label for='section-66b117c6-7adf-4b61-88e9-cc6318abc56c' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.942e+04 5.944e+04 ... 7.198e+04</div><input id='attrs-105d985e-b04d-4990-b832-4e137729c838' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-105d985e-b04d-4990-b832-4e137729c838' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ff0f7eb-0f3d-47c1-959b-52b7c3505d51' class='xr-var-data-in' type='checkbox'><label for='data-0ff0f7eb-0f3d-47c1-959b-52b7c3505d51' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([59415., 59445., 59475., ..., 71925., 71955., 71985.], shape=(420,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.35 -85.19 ... 81.77 81.79</div><input id='attrs-22127d53-1999-489d-bd4f-17a42339283d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22127d53-1999-489d-bd4f-17a42339283d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ece235f4-d8f4-4270-97d9-d2df01f54269' class='xr-var-data-in' type='checkbox'><label for='data-ece235f4-d8f4-4270-97d9-d2df01f54269' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85.345169, -85.193054, -85.039757, ...,  81.732368,  81.771011,\n",
+       "        81.789879], shape=(330,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sector</span></div><div class='xr-var-dims'>(basin)</div><div class='xr-var-dtype'>|S21</div><div class='xr-var-preview xr-preview'>b&#x27;atlantic_arctic_ocean&#x27; ... b&#x27;i...</div><input id='attrs-1c5ad62d-cdda-4d69-95d1-05ec27a5193d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c5ad62d-cdda-4d69-95d1-05ec27a5193d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33f4916c-5238-49af-808c-3d03e3757bfd' class='xr-var-data-in' type='checkbox'><label for='data-33f4916c-5238-49af-808c-3d03e3757bfd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ocean basin</dd><dt><span>standard_name :</span></dt><dd>region</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;atlantic_arctic_ocean&#x27;, b&#x27;global_ocean&#x27;, b&#x27;indian_pacific_ocean&#x27;],\n",
+       "      dtype=&#x27;|S21&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-acb1be0a-54bb-4c15-87ee-ceeb38e89726' class='xr-section-summary-in' type='checkbox' checked /><label for='section-acb1be0a-54bb-4c15-87ee-ceeb38e89726' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.94e+04 5.943e+04 ... 7.2e+04</div><input id='attrs-a4dd8744-3340-4680-bbd4-b88625205382' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a4dd8744-3340-4680-bbd4-b88625205382' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0dc6f81-422e-47db-a3ae-934fa9c2a8cb' class='xr-var-data-in' type='checkbox'><label for='data-c0dc6f81-422e-47db-a3ae-934fa9c2a8cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[59400., 59430.],\n",
+       "       [59430., 59460.],\n",
+       "       [59460., 59490.],\n",
+       "       [59490., 59520.],\n",
+       "       [59520., 59550.],\n",
+       "       [59550., 59580.],\n",
+       "       [59580., 59610.],\n",
+       "       [59610., 59640.],\n",
+       "       [59640., 59670.],\n",
+       "       [59670., 59700.],\n",
+       "       [59700., 59730.],\n",
+       "       [59730., 59760.],\n",
+       "       [59760., 59790.],\n",
+       "       [59790., 59820.],\n",
+       "       [59820., 59850.],\n",
+       "       [59850., 59880.],\n",
+       "       [59880., 59910.],\n",
+       "       [59910., 59940.],\n",
+       "       [59940., 59970.],\n",
+       "       [59970., 60000.],\n",
+       "...\n",
+       "       [71400., 71430.],\n",
+       "       [71430., 71460.],\n",
+       "       [71460., 71490.],\n",
+       "       [71490., 71520.],\n",
+       "       [71520., 71550.],\n",
+       "       [71550., 71580.],\n",
+       "       [71580., 71610.],\n",
+       "       [71610., 71640.],\n",
+       "       [71640., 71670.],\n",
+       "       [71670., 71700.],\n",
+       "       [71700., 71730.],\n",
+       "       [71730., 71760.],\n",
+       "       [71760., 71790.],\n",
+       "       [71790., 71820.],\n",
+       "       [71820., 71850.],\n",
+       "       [71850., 71880.],\n",
+       "       [71880., 71910.],\n",
+       "       [71910., 71940.],\n",
+       "       [71940., 71970.],\n",
+       "       [71970., 72000.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.42 -85.27 -85.27 ... 81.78 81.8</div><input id='attrs-87f2eabe-63ba-461f-92f8-53295a844a3a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-87f2eabe-63ba-461f-92f8-53295a844a3a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ef46ca7-74d4-4890-823a-a268b4360607' class='xr-var-data-in' type='checkbox'><label for='data-8ef46ca7-74d4-4890-823a-a268b4360607' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-85.4212265 , -85.26911163],\n",
+       "       [-85.26911163, -85.1164093 ],\n",
+       "       [-85.1164093 , -84.96253967],\n",
+       "       [-84.96253967, -84.80754089],\n",
+       "       [-84.80754089, -84.65143585],\n",
+       "       [-84.65143585, -84.49424744],\n",
+       "       [-84.49424744, -84.33598328],\n",
+       "       [-84.33598328, -84.176651  ],\n",
+       "       [-84.176651  , -84.01625061],\n",
+       "       [-84.01625061, -83.85476685],\n",
+       "       [-83.85476685, -83.69219971],\n",
+       "       [-83.69219971, -83.52854156],\n",
+       "       [-83.52854156, -83.3637619 ],\n",
+       "       [-83.3637619 , -83.19784546],\n",
+       "       [-83.19784546, -83.03075409],\n",
+       "       [-83.03075409, -82.86247253],\n",
+       "       [-82.86247253, -82.69296265],\n",
+       "       [-82.69296265, -82.52220154],\n",
+       "       [-82.52220154, -82.35012817],\n",
+       "       [-82.35012817, -82.17671967],\n",
+       "...\n",
+       "       [ 77.7896347 ,  78.1543045 ],\n",
+       "       [ 78.1543045 ,  78.50632477],\n",
+       "       [ 78.50632477,  78.84484863],\n",
+       "       [ 78.84484863,  79.16899109],\n",
+       "       [ 79.16899109,  79.47784424],\n",
+       "       [ 79.47784424,  79.77050781],\n",
+       "       [ 79.77050781,  80.04605865],\n",
+       "       [ 80.04605865,  80.30360413],\n",
+       "       [ 80.30360413,  80.54229736],\n",
+       "       [ 80.54229736,  80.76134491],\n",
+       "       [ 80.76134491,  80.96003723],\n",
+       "       [ 80.96003723,  81.13778687],\n",
+       "       [ 81.13778687,  81.29414368],\n",
+       "       [ 81.29414368,  81.42881775],\n",
+       "       [ 81.42881775,  81.54171753],\n",
+       "       [ 81.54171753,  81.63292694],\n",
+       "       [ 81.63292694,  81.70275116],\n",
+       "       [ 81.70275116,  81.75169373],\n",
+       "       [ 81.75169373,  81.78044128],\n",
+       "       [ 81.78044128,  81.79931641]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>htovgyre</span></div><div class='xr-var-dims'>(time, basin, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-7ac88b93-1afc-4533-a09b-6de7829b8223' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ac88b93-1afc-4533-a09b-6de7829b8223' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63d81345-db75-479d-87db-6f9a8ad4154b' class='xr-var-data-in' type='checkbox'><label for='data-63d81345-db75-479d-87db-6f9a8ad4154b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>northward_ocean_heat_transport_due_to_gyre</dd><dt><span>long_name :</span></dt><dd>Northward Ocean Heat Transport Due to Gyre</dd><dt><span>comment :</span></dt><dd>mo: The latitude coordinate is for reference only and is the closest native grid line passing through 65.6 N, 168.7 W (Bering Strait). The atlantic_arctic_ocean basin includes the baltic_sea and hudson_bay basins and the right-hand half of the arctic_ocean basin (with respect to the native model grid). The indian_pacific_ocean basin includes the red_sea basin. This diagnostic has been calculated with respect to the native grid and NOT with respect to true north as requested., AerChemMIP_table_comment: From all advective mass transport processes, resolved and parameterized.</dd><dt><span>units :</span></dt><dd>W</dd><dt><span>original_name :</span></dt><dd>mo: combine_cubes_to_basin_coord((variable_name: hfovgyre_global), (variable_name: hfovgyre_atlantic), (variable_name: hfovgyre_indopacific), mask_global=(variable_name: global_ocean_1D_V), mask_atl=(variable_name: atlantic_arctic_ocean_1D_V), mask_indpac=(variable_name: indian_pacific_ocean_1D_V))</dd><dt><span>original_units :</span></dt><dd>PW</dd><dt><span>history :</span></dt><dd>2020-08-21T14:28:52Z altered by CMOR: Converted units from &#x27;PW&#x27; to &#x27;W&#x27;. 2020-08-21T14:28:52Z altered by CMOR: Reordered dimensions, original order: basin time lat.</dd><dt><span>cell_methods :</span></dt><dd>longitude: sum (comment: basin sum [along zig-zag grid path]) depth: sum time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[[           nan,            nan,            nan, ...,\n",
+       "          5.9394045e+12,  5.0293663e+12,            nan],\n",
+       "        [           nan,            nan,            nan, ...,\n",
+       "          5.1184492e+12,  4.1131914e+12,  1.5370929e-04],\n",
+       "        [           nan,            nan,            nan, ...,\n",
+       "                    nan,            nan,            nan]],\n",
+       "\n",
+       "       [[           nan,            nan,            nan, ...,\n",
+       "          2.2064136e+12,  2.5288180e+12,            nan],\n",
+       "        [           nan,            nan,            nan, ...,\n",
+       "          1.8157083e+12,  1.9613407e+12, -2.4430687e-04],\n",
+       "        [           nan,            nan,            nan, ...,\n",
+       "                    nan,            nan,            nan]],\n",
+       "\n",
+       "       [[           nan,            nan,            nan, ...,\n",
+       "          8.4291656e+11,  2.0961806e+12,            nan],\n",
+       "        [           nan,            nan,            nan, ...,\n",
+       "         -6.7581130e+11,  4.5333476e+11,  1.5658895e-04],\n",
+       "        [           nan,            nan,            nan, ...,\n",
+       "                    nan,            nan,            nan]],\n",
+       "...\n",
+       "          7.0244291e+13,  6.4462036e+13,            nan],\n",
+       "        [           nan,            nan,            nan, ...,\n",
+       "          2.3372432e+13,  1.3172417e+13, -2.8057783e-04],\n",
+       "        [           nan,            nan,            nan, ...,\n",
+       "                    nan,            nan,            nan]],\n",
+       "\n",
+       "       [[           nan,            nan,            nan, ...,\n",
+       "          6.2237117e+13,  5.6790734e+13,            nan],\n",
+       "        [           nan,            nan,            nan, ...,\n",
+       "          2.1562422e+13,  1.1689368e+13,  5.6201621e-04],\n",
+       "        [           nan,            nan,            nan, ...,\n",
+       "                    nan,            nan,            nan]],\n",
+       "\n",
+       "       [[           nan,            nan,            nan, ...,\n",
+       "          6.0197809e+13,  5.5676689e+13,            nan],\n",
+       "        [           nan,            nan,            nan, ...,\n",
+       "          2.2134275e+13,  1.4477528e+13, -9.6522277e-04],\n",
+       "        [           nan,            nan,            nan, ...,\n",
+       "                    nan,            nan,            nan]]],\n",
+       "      shape=(420, 3, 330), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-671e8318-d7bf-49dd-b346-c768c379d5ef' class='xr-section-summary-in' type='checkbox' checked /><label for='section-671e8318-d7bf-49dd-b346-c768c379d5ef' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(46)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>AerChemMIP</dd><dt><span>branch_method :</span></dt><dd>standard</dd><dt><span>branch_time_in_child :</span></dt><dd>59400.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>59400.0</dd><dt><span>creation_date :</span></dt><dd>2020-08-21T14:28:52Z</dd><dt><span>cv_version :</span></dt><dd>6.2.53.5</dd><dt><span>data_specs_version :</span></dt><dd>01.00.31</dd><dt><span>experiment :</span></dt><dd>SSP3-7.0, with low NTCF emissions and methane concentrations</dd><dt><span>experiment_id :</span></dt><dd>ssp370-lowNTCFCH4</dd><dt><span>forcing_index :</span></dt><dd>2</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.MOHC.UKESM1-0-LL.ssp370-lowNTCFCH4.none.r2i1p1f2</dd><dt><span>grid :</span></dt><dd>Native eORCA1 tripolar primarily 1 deg with meridional refinement down to 1/3 degree in the tropics; Quasi-zonal mean, 330 latitude</dd><dt><span>grid_label :</span></dt><dd>gnz</dd><dt><span>history :</span></dt><dd>2020-08-21T14:24:56Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.;\n",
+       "2020-08-21T14:23:56Z MIP Convert v1.5.0, Python v2.7.16, Iris v2.2.0, Numpy v1.15.4, cftime v1.0.0b1.</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, EX1 3PB, UK</dd><dt><span>institution_id :</span></dt><dd>MOHC</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>mo_runid :</span></dt><dd>u-bu258</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>parent_activity_id :</span></dt><dd>CMIP</dd><dt><span>parent_experiment_id :</span></dt><dd>historical</dd><dt><span>parent_mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_source_id :</span></dt><dd>UKESM1-0-LL</dd><dt><span>parent_time_units :</span></dt><dd>days since 1850-01-01</dd><dt><span>parent_variant_label :</span></dt><dd>r4i1p1f2</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>2</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>source :</span></dt><dd>UKESM1.0-LL (2018): \n",
+       "aerosol: UKCA-GLOMAP-mode\n",
+       "atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km)\n",
+       "atmosChem: UKCA-StratTrop\n",
+       "land: JULES-ES-1.0\n",
+       "landIce: none\n",
+       "ocean: NEMO-HadGEM3-GO6.0 (eORCA1 tripolar primarily 1 deg with meridional refinement down to 1/3 degree in the tropics; 360 x 330 longitude/latitude; 75 levels; top grid cell 0-1 m)\n",
+       "ocnBgchem: MEDUSA2\n",
+       "seaIce: CICE-HadGEM3-GSI8 (eORCA1 tripolar primarily 1 deg; 360 x 330 longitude/latitude)</dd><dt><span>source_id :</span></dt><dd>UKESM1-0-LL</dd><dt><span>source_type :</span></dt><dd>AOGCM AER BGC CHEM</dd><dt><span>sub_experiment :</span></dt><dd>none</dd><dt><span>sub_experiment_id :</span></dt><dd>none</dd><dt><span>table_id :</span></dt><dd>Omon</dd><dt><span>table_info :</span></dt><dd>Creation Date:(22 July 2019) MD5:4dd1814731b1436d797f42e4c6226acf</dd><dt><span>title :</span></dt><dd>UKESM1-0-LL output prepared for CMIP6</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14100/a774509f-e0a8-463b-a6ea-d77330aa8c17</dd><dt><span>variable_id :</span></dt><dd>htovgyre</dd><dt><span>variable_name :</span></dt><dd>htovgyre</dd><dt><span>variant_label :</span></dt><dd>r2i1p1f2</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by the Met Office Hadley Centre is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file) and at https://ukesm.ac.uk/cmip6. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.4.0</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 2MB\n",
+       "Dimensions:    (time: 420, bnds: 2, lat: 330, basin: 3)\n",
+       "Coordinates:\n",
+       "  * time       (time) float64 3kB 5.942e+04 5.944e+04 ... 7.196e+04 7.198e+04\n",
+       "  * lat        (lat) float64 3kB -85.35 -85.19 -85.04 ... 81.73 81.77 81.79\n",
+       "    sector     (basin) |S21 63B b'atlantic_arctic_ocean' ... b'indian_pacific...\n",
+       "Dimensions without coordinates: bnds, basin\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) float64 7kB 5.94e+04 5.943e+04 ... 7.197e+04 7.2e+04\n",
+       "    lat_bnds   (lat, bnds) float64 5kB -85.42 -85.27 -85.27 ... 81.78 81.78 81.8\n",
+       "    htovgyre   (time, basin, lat) float32 2MB nan nan nan nan ... nan nan nan\n",
+       "Attributes:\n",
+       "    Conventions:            CF-1.7 CMIP-6.2\n",
+       "    activity_id:            AerChemMIP\n",
+       "    branch_method:          standard\n",
+       "    branch_time_in_child:   59400.0\n",
+       "    branch_time_in_parent:  59400.0\n",
+       "    creation_date:          2020-08-21T14:28:52Z\n",
+       "    cv_version:             6.2.53.5\n",
+       "    data_specs_version:     01.00.31\n",
+       "    experiment:             SSP3-7.0, with low NTCF emissions and methane con...\n",
+       "    experiment_id:          ssp370-lowNTCFCH4\n",
+       "    forcing_index:          2\n",
+       "    frequency:              mon\n",
+       "    further_info_url:       https://furtherinfo.es-doc.org/CMIP6.MOHC.UKESM1-...\n",
+       "    grid:                   Native eORCA1 tripolar primarily 1 deg with merid...\n",
+       "    grid_label:             gnz\n",
+       "    history:                2020-08-21T14:24:56Z ; CMOR rewrote data to be co...\n",
+       "    initialization_index:   1\n",
+       "    institution:            Met Office Hadley Centre, Fitzroy Road, Exeter, D...\n",
+       "    institution_id:         MOHC\n",
+       "    mip_era:                CMIP6\n",
+       "    mo_runid:               u-bu258\n",
+       "    nominal_resolution:     100 km\n",
+       "    parent_activity_id:     CMIP\n",
+       "    parent_experiment_id:   historical\n",
+       "    parent_mip_era:         CMIP6\n",
+       "    parent_source_id:       UKESM1-0-LL\n",
+       "    parent_time_units:      days since 1850-01-01\n",
+       "    parent_variant_label:   r4i1p1f2\n",
+       "    physics_index:          1\n",
+       "    product:                model-output\n",
+       "    realization_index:      2\n",
+       "    realm:                  ocean\n",
+       "    source:                 UKESM1.0-LL (2018): \\naerosol: UKCA-GLOMAP-mode\\n...\n",
+       "    source_id:              UKESM1-0-LL\n",
+       "    source_type:            AOGCM AER BGC CHEM\n",
+       "    sub_experiment:         none\n",
+       "    sub_experiment_id:      none\n",
+       "    table_id:               Omon\n",
+       "    table_info:             Creation Date:(22 July 2019) MD5:4dd1814731b1436d...\n",
+       "    title:                  UKESM1-0-LL output prepared for CMIP6\n",
+       "    tracking_id:            hdl:21.14100/a774509f-e0a8-463b-a6ea-d77330aa8c17\n",
+       "    variable_id:            htovgyre\n",
+       "    variable_name:          htovgyre\n",
+       "    variant_label:          r2i1p1f2\n",
+       "    license:                CMIP6 model data produced by the Met Office Hadle...\n",
+       "    cmor_version:           3.4.0"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "with xr.open_dataset(DATA_PATH, decode_times=False) as opened:\n",
+    "    source = opened.load()\n",
+    "\n",
+    "with xr.set_options(\n",
+    "    display_style=\"html\",\n",
+    "    display_expand_attrs=True,\n",
+    "    display_expand_coords=True,\n",
+    "    display_expand_data_vars=True,\n",
+    "    display_max_rows=80,\n",
+    "):\n",
+    "    display(source)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-30T19:33:35.028697Z",
+     "iopub.status.busy": "2026-05-30T19:33:35.028593Z",
+     "iopub.status.idle": "2026-05-30T19:33:35.032967Z",
+     "shell.execute_reply": "2026-05-30T19:33:35.032603Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(420, 3, 330)\n"
+     ]
+    }
+   ],
+   "source": [
+    "run_dir = Path(\"output\") / \"05_ocean_heat_transport_by_basin\"\n",
+    "if run_dir.exists():\n",
+    "    shutil.rmtree(run_dir)\n",
+    "output_dir = run_dir / \"cmor_output\"\n",
+    "output_dir.mkdir(parents=True)\n",
+    "\n",
+    "DATASET_INFO = {\n",
+    "    \"_AXIS_ENTRY_FILE\": \"CMIP7_coordinate.json\",\n",
+    "    \"_FORMULA_VAR_FILE\": \"CMIP7_formula_terms.json\",\n",
+    "    \"_cmip7_option\": 1,\n",
+    "    \"_controlled_vocabulary_file\": CV_PATH,\n",
+    "    \"activity_id\": \"CMIP\",\n",
+    "    \"calendar\": source[\"time\"].attrs.get(\"calendar\", \"standard\"),\n",
+    "    \"experiment_id\": \"amip\",\n",
+    "    \"forcing_index\": \"f3\",\n",
+    "    \"frequency\": \"mon\",\n",
+    "    \"grid_label\": \"g999\",\n",
+    "    \"host_collection\": \"CMIP7\",\n",
+    "    \"initialization_index\": \"i1\",\n",
+    "    \"institution_id\": \"CCCma\",\n",
+    "    \"license_id\": \"CC-BY-4.0\",\n",
+    "    \"nominal_resolution\": \"100 km\",\n",
+    "    \"outpath\": str(output_dir),\n",
+    "    \"physics_index\": \"p1\",\n",
+    "    \"realization_index\": \"r9\",\n",
+    "    \"region\": \"glb\",\n",
+    "    \"source_id\": \"DUMMY-MODEL\",\n",
+    "}\n",
+    "input_json = run_dir / \"input.json\"\n",
+    "input_json.write_text(json.dumps(DATASET_INFO, indent=2, sort_keys=True))\n",
+    "\n",
+    "time = source[\"time\"].values.astype(\"f8\")\n",
+    "time_bnds = source[\"time_bnds\"].values.astype(\"f8\")\n",
+    "time_units = source[\"time\"].attrs[\"units\"]\n",
+    "lat = source[\"lat\"].values.astype(\"f8\")\n",
+    "lat_bnds = source[\"lat_bnds\"].values.astype(\"f8\")\n",
+    "basin = [value.decode() if isinstance(value, bytes) else str(value) for value in source[\"sector\"].values]\n",
+    "\n",
+    "missing_value = np.float32(1.0e20)\n",
+    "htovgyre_source = source[\"htovgyre\"].values.astype(\"f4\")\n",
+    "htovgyre = np.where(np.isfinite(htovgyre_source), htovgyre_source, missing_value).astype(\"f4\")\n",
+    "\n",
+    "print(htovgyre.shape)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-30T19:33:35.034128Z",
+     "iopub.status.busy": "2026-05-30T19:33:35.034055Z",
+     "iopub.status.idle": "2026-05-30T19:33:35.122238Z",
+     "shell.execute_reply": "2026-05-30T19:33:35.121651Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "output/05_ocean_heat_transport_by_basin/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/htovgyre/tavg-u-hyb-sea/g999/v20260530/htovgyre_tavg-u-hyb-sea_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201501-204912.nc\n"
+     ]
+    }
+   ],
+   "source": [
+    "cmor.setup(\n",
+    "    inpath=TABLES_DIR,\n",
+    "    netcdf_file_action=cmor.CMOR_REPLACE,\n",
+    "    logfile=str(run_dir / \"cmor.log\"),\n",
+    ")\n",
+    "cmor.dataset_json(str(input_json))\n",
+    "\n",
+    "ocean_table = cmor.load_table(\"CMIP7_ocean.json\")\n",
+    "\n",
+    "cmor.set_table(ocean_table)\n",
+    "time_id = cmor.axis(\"time\", coord_vals=time, cell_bounds=time_bnds, units=time_units)\n",
+    "basin_id = cmor.axis(\"basin\", coord_vals=basin, units=\"1\")\n",
+    "lat_id = cmor.axis(\"latitude\", coord_vals=lat, cell_bounds=lat_bnds, units=\"degrees_north\")\n",
+    "\n",
+    "variable_name = \"htovgyre_tavg-u-hyb-sea\"\n",
+    "htovgyre_id = cmor.variable(variable_name, \"W\", [time_id, basin_id, lat_id], missing_value=missing_value)\n",
+    "compound_name = \".\".join([\"ocean\"] + variable_name.split(\"_\") + [\"mon\", \"glb\"])\n",
+    "\n",
+    "with open(Path(TABLES_DIR) / \"CMIP7_cell_measures.json\") as handle:\n",
+    "    cell_measure = json.load(handle)[\"cell_measures\"].get(compound_name)\n",
+    "if cell_measure:\n",
+    "    cmor.set_variable_attribute(htovgyre_id, \"cell_measures\", \"c\", cell_measure)\n",
+    "\n",
+    "with open(Path(TABLES_DIR) / \"CMIP7_long_name_overrides.json\") as handle:\n",
+    "    long_name = json.load(handle)[\"long_name_overrides\"].get(compound_name)\n",
+    "if long_name:\n",
+    "    cmor.set_variable_attribute(htovgyre_id, \"long_name\", \"c\", long_name)\n",
+    "\n",
+    "cmor.write(htovgyre_id, htovgyre)\n",
+    "netcdf_path = Path(cmor.close(htovgyre_id, file_name=True))\n",
+    "cmor.close()\n",
+    "\n",
+    "print(netcdf_path.resolve().relative_to(Path.cwd().resolve()))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-30T19:33:35.123969Z",
+     "iopub.status.busy": "2026-05-30T19:33:35.123869Z",
+     "iopub.status.idle": "2026-05-30T19:33:35.141465Z",
+     "shell.execute_reply": "2026-05-30T19:33:35.141117Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
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+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "  line-height: 1.6;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "  margin-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-obj-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-group-box-contents > label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "  margin-block-start: 0;\n",
+       "  margin-block-end: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input,\n",
+       ".xr-group-box-contents > input,\n",
+       ".xr-array-wrap > input {\n",
+       "  display: block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input + label,\n",
+       ".xr-var-item > input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label,\n",
+       ".xr-var-item > input:enabled + label,\n",
+       ".xr-array-wrap > input:enabled + label,\n",
+       ".xr-group-box-contents > input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:focus-visible + label,\n",
+       ".xr-var-item > input:focus-visible + label,\n",
+       ".xr-array-wrap > input:focus-visible + label,\n",
+       ".xr-group-box-contents > input:focus-visible + label {\n",
+       "  outline: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item > input:enabled + label:hover,\n",
+       ".xr-var-item > input:enabled + label:hover,\n",
+       ".xr-array-wrap > input:enabled + label:hover,\n",
+       ".xr-group-box-contents > input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "  white-space: nowrap;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > em {\n",
+       "  font-weight: normal;\n",
+       "}\n",
+       "\n",
+       ".xr-span-grid {\n",
+       "  grid-column-end: -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.6em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details,\n",
+       ".xr-group-box-contents > label {\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-top: 4px;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in ~ .xr-section-details {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-children {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 100%;\n",
+       "  grid-column: 1 / -1;\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 0px 30px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-vline {\n",
+       "  grid-column-start: 1;\n",
+       "  border-right: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "  width: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-hline {\n",
+       "  grid-column-start: 2;\n",
+       "  grid-row-start: 1;\n",
+       "  height: 1em;\n",
+       "  width: 26px;\n",
+       "  border-bottom: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents {\n",
+       "  grid-column-start: 3;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > label::before {\n",
+       "  content: \"📂\";\n",
+       "  padding-right: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label::before {\n",
+       "  content: \"📁\";\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label {\n",
+       "  padding-bottom: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-ellipsis {\n",
+       "  font-size: 1.4em;\n",
+       "  font-weight: 900;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  letter-spacing: 0.15em;\n",
+       "  cursor: default;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 2MB\n",
+       "Dimensions:    (time: 420, bnds: 2, lat: 330, basin: 3)\n",
+       "Coordinates:\n",
+       "  * time       (time) float64 3kB 5.942e+04 5.944e+04 ... 7.196e+04 7.198e+04\n",
+       "  * lat        (lat) float64 3kB -85.35 -85.19 -85.04 ... 81.73 81.77 81.79\n",
+       "    sector     (basin) |S21 63B b&#x27;atlantic_arctic_ocean&#x27; ... b&#x27;indian_pacific...\n",
+       "Dimensions without coordinates: bnds, basin\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) float64 7kB 5.94e+04 5.943e+04 ... 7.197e+04 7.2e+04\n",
+       "    lat_bnds   (lat, bnds) float64 5kB -85.42 -85.27 -85.27 ... 81.78 81.78 81.8\n",
+       "    htovgyre   (time, basin, lat) float32 2MB nan nan nan nan ... nan nan nan\n",
+       "Attributes:\n",
+       "    Conventions:           CF-1.12\n",
+       "    activity_id:           CMIP\n",
+       "    area_label:            sea\n",
+       "    branded_variable:      htovgyre_tavg-u-hyb-sea\n",
+       "    branding_suffix:       tavg-u-hyb-sea\n",
+       "    creation_date:         2026-05-30T19:33:35Z\n",
+       "    data_specs_version:    MIP-DS7.1.0.0\n",
+       "    description:           Simulation of the climate of the recent past with ...\n",
+       "    drs_specs:             MIP-DRS7\n",
+       "    experiment:            Simulation of the climate of the recent past with ...\n",
+       "    experiment_id:         amip\n",
+       "    forcing_index:         f3\n",
+       "    frequency:             mon\n",
+       "    grid_label:            g999\n",
+       "    history:               2026-05-30T19:33:35Z ; CMOR rewrote data to be con...\n",
+       "    horizontal_label:      hyb\n",
+       "    host_collection:       CMIP7\n",
+       "    initialization_index:  i1\n",
+       "    institution:           Environment and Climate Change Canada\n",
+       "    institution_id:        CCCma\n",
+       "    license_id:            CC-BY-4.0\n",
+       "    mip_era:               CMIP7\n",
+       "    nominal_resolution:    100 km\n",
+       "    physics_index:         p1\n",
+       "    product:               model-output\n",
+       "    realization_index:     r9\n",
+       "    realm:                 ocean\n",
+       "    region:                glb\n",
+       "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
+       "    source_id:             DUMMY-MODEL\n",
+       "    table_info:            Name: CMIP7_ocean.json; Creation Date:(2026-04-21 ...\n",
+       "    temporal_label:        tavg\n",
+       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
+       "    tracking_id:           hdl:21.14107/86bb28fb-8e68-4f7e-a4a3-fad542d49a31\n",
+       "    variable_id:           htovgyre\n",
+       "    variant_label:         r9i1p1f3\n",
+       "    vertical_label:        u\n",
+       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-64cc97d9-2bc0-459d-b0e4-c22f14cadf4c' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-64cc97d9-2bc0-459d-b0e4-c22f14cadf4c' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 420</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 330</li><li><span>basin</span>: 3</li></ul></div></li><li class='xr-section-item'><input id='section-dc1604c0-089d-4fe7-af60-c9f53a203e26' class='xr-section-summary-in' type='checkbox' checked /><label for='section-dc1604c0-089d-4fe7-af60-c9f53a203e26' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.942e+04 5.944e+04 ... 7.198e+04</div><input id='attrs-66303c12-9557-4d2d-a8e2-38b57ce69f23' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66303c12-9557-4d2d-a8e2-38b57ce69f23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2ec2aab-d535-4a5b-8e22-c18dcf9721e2' class='xr-var-data-in' type='checkbox'><label for='data-f2ec2aab-d535-4a5b-8e22-c18dcf9721e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([59415., 59445., 59475., ..., 71925., 71955., 71985.], shape=(420,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.35 -85.19 ... 81.77 81.79</div><input id='attrs-364daa22-254c-4efa-b237-59c77334c404' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-364daa22-254c-4efa-b237-59c77334c404' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed6dba66-bf95-41c4-a4b9-ba0695fc4622' class='xr-var-data-in' type='checkbox'><label for='data-ed6dba66-bf95-41c4-a4b9-ba0695fc4622' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85.345169, -85.193054, -85.039757, ...,  81.732368,  81.771011,\n",
+       "        81.789879], shape=(330,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sector</span></div><div class='xr-var-dims'>(basin)</div><div class='xr-var-dtype'>|S21</div><div class='xr-var-preview xr-preview'>b&#x27;atlantic_arctic_ocean&#x27; ... b&#x27;i...</div><input id='attrs-d294ff2d-1946-4d45-b104-7901c46ff07d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d294ff2d-1946-4d45-b104-7901c46ff07d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47c9061e-07cb-459f-827f-e98778b3c159' class='xr-var-data-in' type='checkbox'><label for='data-47c9061e-07cb-459f-827f-e98778b3c159' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ocean Basin</dd><dt><span>standard_name :</span></dt><dd>region</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;atlantic_arctic_ocean&#x27;, b&#x27;global_ocean&#x27;, b&#x27;indian_pacific_ocean&#x27;],\n",
+       "      dtype=&#x27;|S21&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2f5c5cf7-bd91-4fd4-b381-1922b09a201d' class='xr-section-summary-in' type='checkbox' checked /><label for='section-2f5c5cf7-bd91-4fd4-b381-1922b09a201d' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.94e+04 5.943e+04 ... 7.2e+04</div><input id='attrs-1688e5f7-0b55-4a68-b3b1-c386317e2508' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1688e5f7-0b55-4a68-b3b1-c386317e2508' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6012bbcd-7b4a-4ec5-9178-602e28f017ad' class='xr-var-data-in' type='checkbox'><label for='data-6012bbcd-7b4a-4ec5-9178-602e28f017ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[59400., 59430.],\n",
+       "       [59430., 59460.],\n",
+       "       [59460., 59490.],\n",
+       "       [59490., 59520.],\n",
+       "       [59520., 59550.],\n",
+       "       [59550., 59580.],\n",
+       "       [59580., 59610.],\n",
+       "       [59610., 59640.],\n",
+       "       [59640., 59670.],\n",
+       "       [59670., 59700.],\n",
+       "       [59700., 59730.],\n",
+       "       [59730., 59760.],\n",
+       "       [59760., 59790.],\n",
+       "       [59790., 59820.],\n",
+       "       [59820., 59850.],\n",
+       "       [59850., 59880.],\n",
+       "       [59880., 59910.],\n",
+       "       [59910., 59940.],\n",
+       "       [59940., 59970.],\n",
+       "       [59970., 60000.],\n",
+       "...\n",
+       "       [71400., 71430.],\n",
+       "       [71430., 71460.],\n",
+       "       [71460., 71490.],\n",
+       "       [71490., 71520.],\n",
+       "       [71520., 71550.],\n",
+       "       [71550., 71580.],\n",
+       "       [71580., 71610.],\n",
+       "       [71610., 71640.],\n",
+       "       [71640., 71670.],\n",
+       "       [71670., 71700.],\n",
+       "       [71700., 71730.],\n",
+       "       [71730., 71760.],\n",
+       "       [71760., 71790.],\n",
+       "       [71790., 71820.],\n",
+       "       [71820., 71850.],\n",
+       "       [71850., 71880.],\n",
+       "       [71880., 71910.],\n",
+       "       [71910., 71940.],\n",
+       "       [71940., 71970.],\n",
+       "       [71970., 72000.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.42 -85.27 -85.27 ... 81.78 81.8</div><input id='attrs-b9b0b77e-d4c7-43ad-869b-ecd5726800d6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b9b0b77e-d4c7-43ad-869b-ecd5726800d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a722ce84-41c2-4488-b787-16fb14fb2e30' class='xr-var-data-in' type='checkbox'><label for='data-a722ce84-41c2-4488-b787-16fb14fb2e30' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-85.4212265 , -85.26911163],\n",
+       "       [-85.26911163, -85.1164093 ],\n",
+       "       [-85.1164093 , -84.96253967],\n",
+       "       [-84.96253967, -84.80754089],\n",
+       "       [-84.80754089, -84.65143585],\n",
+       "       [-84.65143585, -84.49424744],\n",
+       "       [-84.49424744, -84.33598328],\n",
+       "       [-84.33598328, -84.176651  ],\n",
+       "       [-84.176651  , -84.01625061],\n",
+       "       [-84.01625061, -83.85476685],\n",
+       "       [-83.85476685, -83.69219971],\n",
+       "       [-83.69219971, -83.52854156],\n",
+       "       [-83.52854156, -83.3637619 ],\n",
+       "       [-83.3637619 , -83.19784546],\n",
+       "       [-83.19784546, -83.03075409],\n",
+       "       [-83.03075409, -82.86247253],\n",
+       "       [-82.86247253, -82.69296265],\n",
+       "       [-82.69296265, -82.52220154],\n",
+       "       [-82.52220154, -82.35012817],\n",
+       "       [-82.35012817, -82.17671967],\n",
+       "...\n",
+       "       [ 77.7896347 ,  78.1543045 ],\n",
+       "       [ 78.1543045 ,  78.50632477],\n",
+       "       [ 78.50632477,  78.84484863],\n",
+       "       [ 78.84484863,  79.16899109],\n",
+       "       [ 79.16899109,  79.47784424],\n",
+       "       [ 79.47784424,  79.77050781],\n",
+       "       [ 79.77050781,  80.04605865],\n",
+       "       [ 80.04605865,  80.30360413],\n",
+       "       [ 80.30360413,  80.54229736],\n",
+       "       [ 80.54229736,  80.76134491],\n",
+       "       [ 80.76134491,  80.96003723],\n",
+       "       [ 80.96003723,  81.13778687],\n",
+       "       [ 81.13778687,  81.29414368],\n",
+       "       [ 81.29414368,  81.42881775],\n",
+       "       [ 81.42881775,  81.54171753],\n",
+       "       [ 81.54171753,  81.63292694],\n",
+       "       [ 81.63292694,  81.70275116],\n",
+       "       [ 81.70275116,  81.75169373],\n",
+       "       [ 81.75169373,  81.78044128],\n",
+       "       [ 81.78044128,  81.79931641]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>htovgyre</span></div><div class='xr-var-dims'>(time, basin, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-cfae6ab1-dda4-45e6-8453-9589e428d5f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cfae6ab1-dda4-45e6-8453-9589e428d5f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ca49421-c399-4ba6-8367-90367c6a49f5' class='xr-var-data-in' type='checkbox'><label for='data-1ca49421-c399-4ba6-8367-90367c6a49f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>northward_ocean_heat_transport_due_to_gyre</dd><dt><span>long_name :</span></dt><dd>Northward Ocean Heat Transport Due to Gyre</dd><dt><span>units :</span></dt><dd>W</dd><dt><span>cell_methods :</span></dt><dd>depth: longitude: sum where sea (along a zig-zag grid path spanning a basin)  time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[[           nan,            nan,            nan, ...,\n",
+       "          5.9394045e+12,  5.0293663e+12,            nan],\n",
+       "        [           nan,            nan,            nan, ...,\n",
+       "          5.1184492e+12,  4.1131914e+12,  1.5370929e-04],\n",
+       "        [           nan,            nan,            nan, ...,\n",
+       "                    nan,            nan,            nan]],\n",
+       "\n",
+       "       [[           nan,            nan,            nan, ...,\n",
+       "          2.2064136e+12,  2.5288180e+12,            nan],\n",
+       "        [           nan,            nan,            nan, ...,\n",
+       "          1.8157083e+12,  1.9613407e+12, -2.4430687e-04],\n",
+       "        [           nan,            nan,            nan, ...,\n",
+       "                    nan,            nan,            nan]],\n",
+       "\n",
+       "       [[           nan,            nan,            nan, ...,\n",
+       "          8.4291656e+11,  2.0961806e+12,            nan],\n",
+       "        [           nan,            nan,            nan, ...,\n",
+       "         -6.7581130e+11,  4.5333476e+11,  1.5658895e-04],\n",
+       "        [           nan,            nan,            nan, ...,\n",
+       "                    nan,            nan,            nan]],\n",
+       "...\n",
+       "          7.0244291e+13,  6.4462036e+13,            nan],\n",
+       "        [           nan,            nan,            nan, ...,\n",
+       "          2.3372432e+13,  1.3172417e+13, -2.8057783e-04],\n",
+       "        [           nan,            nan,            nan, ...,\n",
+       "                    nan,            nan,            nan]],\n",
+       "\n",
+       "       [[           nan,            nan,            nan, ...,\n",
+       "          6.2237117e+13,  5.6790734e+13,            nan],\n",
+       "        [           nan,            nan,            nan, ...,\n",
+       "          2.1562422e+13,  1.1689368e+13,  5.6201621e-04],\n",
+       "        [           nan,            nan,            nan, ...,\n",
+       "                    nan,            nan,            nan]],\n",
+       "\n",
+       "       [[           nan,            nan,            nan, ...,\n",
+       "          6.0197809e+13,  5.5676689e+13,            nan],\n",
+       "        [           nan,            nan,            nan, ...,\n",
+       "          2.2134275e+13,  1.4477528e+13, -9.6522277e-04],\n",
+       "        [           nan,            nan,            nan, ...,\n",
+       "                    nan,            nan,            nan]]],\n",
+       "      shape=(420, 3, 330), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-98cca6e3-0fe5-44f6-a78c-a310ebc49458' class='xr-section-summary-in' type='checkbox' checked /><label for='section-98cca6e3-0fe5-44f6-a78c-a310ebc49458' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(39)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>htovgyre_tavg-u-hyb-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hyb-sea</dd><dt><span>creation_date :</span></dt><dd>2026-05-30T19:33:35Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-30T19:33:35Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hyb</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/86bb28fb-8e68-4f7e-a4a3-fad542d49a31</dd><dt><span>variable_id :</span></dt><dd>htovgyre</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 2MB\n",
+       "Dimensions:    (time: 420, bnds: 2, lat: 330, basin: 3)\n",
+       "Coordinates:\n",
+       "  * time       (time) float64 3kB 5.942e+04 5.944e+04 ... 7.196e+04 7.198e+04\n",
+       "  * lat        (lat) float64 3kB -85.35 -85.19 -85.04 ... 81.73 81.77 81.79\n",
+       "    sector     (basin) |S21 63B b'atlantic_arctic_ocean' ... b'indian_pacific...\n",
+       "Dimensions without coordinates: bnds, basin\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) float64 7kB 5.94e+04 5.943e+04 ... 7.197e+04 7.2e+04\n",
+       "    lat_bnds   (lat, bnds) float64 5kB -85.42 -85.27 -85.27 ... 81.78 81.78 81.8\n",
+       "    htovgyre   (time, basin, lat) float32 2MB nan nan nan nan ... nan nan nan\n",
+       "Attributes:\n",
+       "    Conventions:           CF-1.12\n",
+       "    activity_id:           CMIP\n",
+       "    area_label:            sea\n",
+       "    branded_variable:      htovgyre_tavg-u-hyb-sea\n",
+       "    branding_suffix:       tavg-u-hyb-sea\n",
+       "    creation_date:         2026-05-30T19:33:35Z\n",
+       "    data_specs_version:    MIP-DS7.1.0.0\n",
+       "    description:           Simulation of the climate of the recent past with ...\n",
+       "    drs_specs:             MIP-DRS7\n",
+       "    experiment:            Simulation of the climate of the recent past with ...\n",
+       "    experiment_id:         amip\n",
+       "    forcing_index:         f3\n",
+       "    frequency:             mon\n",
+       "    grid_label:            g999\n",
+       "    history:               2026-05-30T19:33:35Z ; CMOR rewrote data to be con...\n",
+       "    horizontal_label:      hyb\n",
+       "    host_collection:       CMIP7\n",
+       "    initialization_index:  i1\n",
+       "    institution:           Environment and Climate Change Canada\n",
+       "    institution_id:        CCCma\n",
+       "    license_id:            CC-BY-4.0\n",
+       "    mip_era:               CMIP7\n",
+       "    nominal_resolution:    100 km\n",
+       "    physics_index:         p1\n",
+       "    product:               model-output\n",
+       "    realization_index:     r9\n",
+       "    realm:                 ocean\n",
+       "    region:                glb\n",
+       "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
+       "    source_id:             DUMMY-MODEL\n",
+       "    table_info:            Name: CMIP7_ocean.json; Creation Date:(2026-04-21 ...\n",
+       "    temporal_label:        tavg\n",
+       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
+       "    tracking_id:           hdl:21.14107/86bb28fb-8e68-4f7e-a4a3-fad542d49a31\n",
+       "    variable_id:           htovgyre\n",
+       "    variant_label:         r9i1p1f3\n",
+       "    vertical_label:        u\n",
+       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+       "    cmor_version:          3.15.1"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "with xr.open_dataset(netcdf_path, decode_times=False) as opened:\n",
+    "    ds = opened.load()\n",
+    "\n",
+    "with xr.set_options(\n",
+    "    display_style=\"html\",\n",
+    "    display_expand_attrs=True,\n",
+    "    display_expand_coords=True,\n",
+    "    display_expand_data_vars=True,\n",
+    "    display_max_rows=80,\n",
+    "):\n",
+    "    display(ds)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-30T19:33:35.142893Z",
+     "iopub.status.busy": "2026-05-30T19:33:35.142784Z",
+     "iopub.status.idle": "2026-05-30T19:33:35.204596Z",
+     "shell.execute_reply": "2026-05-30T19:33:35.204161Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1050x560 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(10.5, 5.6))\n",
+    "basin_values = [value.decode() if isinstance(value, bytes) else str(value) for value in ds[\"sector\"].values]\n",
+    "field = ds[\"htovgyre\"].isel(time=0)\n",
+    "for basin_index, basin_name in enumerate(basin_values):\n",
+    "    ax.plot(ds[\"lat\"].values, field.isel(basin=basin_index).values, label=basin_name.replace(\"_\", \" \"))\n",
+    "ax.axhline(0.0, color=\"0.2\", linewidth=0.8)\n",
+    "ax.set_xlabel(\"Latitude\")\n",
+    "ax.set_ylabel(\"W\")\n",
+    "ax.set_title(\"CMIP7 htovgyre by basin, first month\")\n",
+    "ax.grid(True, linewidth=0.4, color=\"0.75\")\n",
+    "ax.legend(loc=\"best\")\n",
+    "plt.show()\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/notebooks/README.md b/notebooks/README.md
index 19cf9908..f926e7ff 100644
--- a/notebooks/README.md
+++ b/notebooks/README.md
@@ -1,6 +1,6 @@
 # CMIP7 CMOR Example Notebooks
 
-These notebooks demonstrate how to use CMOR to create CMIP7 dataset files from synthetic data. They use the `cmip7-cmor-tables` checkout in this repository.
+These notebooks demonstrate how to use CMOR to create CMIP7 dataset files. They use the `cmip7-cmor-tables` checkout in this repository.
 
 ## Setup
 
@@ -23,9 +23,9 @@ The notebooks write generated NetCDF files under `notebooks/output/`.
 
 ## Notebooks
 
-1. `01_basic_ocean_surface_temperature.ipynb`: writes monthly sea surface temperature (`tos_tavg-u-hxy-sea`) on a global 10 degree latitude-longitude grid.
-2. `02_atmos_surface_air_temperature.ipynb`: writes 2 m air temperature (`tas_tavg-h2m-hxy-u`) and demonstrates the fixed-height coordinate.
-3. `03_pressure_level_air_temperature.ipynb`: writes air temperature (`ta_tavg-p19-hxy-air`) on the CMIP7 19 pressure levels.
-4. `04_hybrid_sigma_zfactors.ipynb`: writes air temperature (`ta_tavg-al-hxy-u`) on a hybrid sigma pressure coordinate with CMOR zfactors.
-5. `05_curvilinear_ocean_grid.ipynb`: writes sea surface temperature (`tos_tavg-u-hxy-sea`) using `cmor.grid` with two-dimensional latitude and longitude coordinates.
-6. `06_non_lat_lon_sea_ice_concentration.ipynb`: writes sea-ice area percentage (`siconc_tavg-u-hxy-u`) using the projected Northern and Southern Hemisphere EASE2 grids from the NetCDF files in `notebooks/data/`.
+1. [Basic Ocean Surface Temperature](01_basic_ocean_surface_temperature.ipynb): writes monthly sea surface temperature (`tos_tavg-u-hxy-sea`) on a latitude-longitude grid.
+2. [Atmospheric Surface Air Temperature](02_atmos_surface_air_temperature.ipynb): writes 2 m air temperature (`tas_tavg-h2m-hxy-u`) and demonstrates the fixed-height coordinate.
+3. [Atmospheric Temperature On Pressure Levels](03_pressure_level_air_temperature.ipynb): writes air temperature (`ta_tavg-p19-hxy-air`) on the CMIP7 19 pressure levels.
+4. [Hybrid Sigma Humidity Tendency With Z-Factors](04_hybrid_sigma_humidity_tendency.ipynb): writes humidity tendency (`tnhusscpbl_tavg-al-hxy-u`) on a hybrid sigma pressure coordinate with CMOR zfactors and surface pressure.
+5. [Ocean Heat Transport By Basin](05_ocean_heat_transport_by_basin.ipynb): writes northward ocean heat transport (`htovgyre_tavg-u-hyb-sea`) using latitude and ocean basin coordinates.
+6. [Sea Ice Concentration On Projected Grids](06_non_lat_lon_sea_ice_concentration.ipynb): writes sea-ice area percentage (`siconc_tavg-u-hxy-u`) on projected Northern and Southern Hemisphere grids.
diff --git a/notebooks/data/htovgyre_Omon_UKESM1-0-LL_ssp370-lowNTCFCH4_r2i1p1f2_gnz_201501-204912.nc b/notebooks/data/htovgyre_Omon_UKESM1-0-LL_ssp370-lowNTCFCH4_r2i1p1f2_gnz_201501-204912.nc
new file mode 100644
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HcmV?d00001


From 48e19b9fa2089686063aa4a3df891187bdba1afa Mon Sep 17 00:00:00 2001
From: Chris Mauzey <mauzey1@llnl.gov>
Date: Sun, 31 May 2026 11:53:39 -0700
Subject: [PATCH 22/25] Add land use notebook example

---
 notebooks/06_land_use_fraction.ipynb          | 1944 +++++++++++++++++
 ...7_non_lat_lon_sea_ice_concentration.ipynb} |  101 +-
 notebooks/README.md                           |    3 +-
 ...M4_land-noLu_r1i1p1f1_gr1_200702-200711.nc |  Bin 0 -> 1660708 bytes
 4 files changed, 2000 insertions(+), 48 deletions(-)
 create mode 100644 notebooks/06_land_use_fraction.ipynb
 rename notebooks/{06_non_lat_lon_sea_ice_concentration.ipynb => 07_non_lat_lon_sea_ice_concentration.ipynb} (97%)
 create mode 100644 notebooks/data/fracLut_Emon_GFDL-ESM4_land-noLu_r1i1p1f1_gr1_200702-200711.nc

diff --git a/notebooks/06_land_use_fraction.ipynb b/notebooks/06_land_use_fraction.ipynb
new file mode 100644
index 00000000..5db45e33
--- /dev/null
+++ b/notebooks/06_land_use_fraction.ipynb
@@ -0,0 +1,1944 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "88936e10",
+   "metadata": {},
+   "source": [
+    "# Land-Use Fraction\n",
+    "\n",
+    "Create a CMIP7 monthly land-use fraction file (`fracLut_tpt-u-hxy-u`) using time-point, land-use, latitude, and longitude coordinates."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "a97ae18a",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-31T18:49:29.411088Z",
+     "iopub.status.busy": "2026-05-31T18:49:29.410899Z",
+     "iopub.status.idle": "2026-05-31T18:49:30.674292Z",
+     "shell.execute_reply": "2026-05-31T18:49:30.673812Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Using CMIP7 tables from ../cmip7-cmor-tables/tables\n"
+     ]
+    }
+   ],
+   "source": [
+    "from pathlib import Path\n",
+    "import json\n",
+    "import shutil\n",
+    "\n",
+    "import cmor\n",
+    "from IPython.display import display\n",
+    "import matplotlib.pyplot as plt\n",
+    "from mpl_toolkits.basemap import Basemap\n",
+    "import numpy as np\n",
+    "import xarray as xr\n",
+    "\n",
+    "TABLES_DIR = \"../cmip7-cmor-tables/tables\"\n",
+    "CV_PATH = \"../cmip7-cmor-tables/tables-cvs/cmor-cvs.json\"\n",
+    "DATA_PATH = Path(\"data\") / \"fracLut_Emon_GFDL-ESM4_land-noLu_r1i1p1f1_gr1_200702-200711.nc\"\n",
+    "if not Path(TABLES_DIR).exists():\n",
+    "    raise FileNotFoundError(f\"CMIP7 tables directory not found: {TABLES_DIR}\")\n",
+    "if not Path(CV_PATH).exists():\n",
+    "    raise FileNotFoundError(f\"CMIP7 CV file not found: {CV_PATH}\")\n",
+    "if not DATA_PATH.exists():\n",
+    "    raise FileNotFoundError(f\"Source data file not found: {DATA_PATH}\")\n",
+    "\n",
+    "print(f\"Using CMIP7 tables from {TABLES_DIR}\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "1137cc32",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-31T18:49:30.675478Z",
+     "iopub.status.busy": "2026-05-31T18:49:30.675346Z",
+     "iopub.status.idle": "2026-05-31T18:49:30.996474Z",
+     "shell.execute_reply": "2026-05-31T18:49:30.995959Z"
+    }
+   },
+   "outputs": [
+    {
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+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 8MB\n",
+       "Dimensions:    (time: 10, landuse: 4, lat: 180, lon: 288, bnds: 2)\n",
+       "Coordinates:\n",
+       "  * time       (time) float64 80B 1.122e+05 1.122e+05 ... 1.124e+05 1.125e+05\n",
+       "  * landuse    (landuse) int32 16B 0 1 2 3\n",
+       "  * lat        (lat) float64 1kB -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
+       "  * lon        (lon) float64 2kB 0.625 1.875 3.125 4.375 ... 356.9 358.1 359.4\n",
+       "  * bnds       (bnds) float64 16B 1.0 2.0\n",
+       "Data variables:\n",
+       "    fracLut    (time, landuse, lat, lon) float32 8MB 0.0 0.0 0.0 ... 0.0 0.0 0.0\n",
+       "    lat_bnds   (lat, bnds) float64 3kB -90.0 -89.0 -89.0 ... 89.0 89.0 90.0\n",
+       "    lon_bnds   (lon, bnds) float64 5kB 0.0 1.25 1.25 2.5 ... 358.8 358.8 360.0\n",
+       "    time_bnds  (time, bnds) float64 160B 1.122e+05 1.122e+05 ... 1.125e+05\n",
+       "Attributes:\n",
+       "    external_variables:    areacella\n",
+       "    history:               File was processed by fremetar (GFDL analog of CMO...\n",
+       "    table_id:              Emon\n",
+       "    activity_id:           LUMIP\n",
+       "    branch_method:         no parent\n",
+       "    branch_time_in_child:  0.0\n",
+       "    comment:               &lt;null ref&gt;\n",
+       "    contact:               gfdl.climate.model.info@noaa.gov\n",
+       "    Conventions:           CF-1.7 CMIP-6.0 UGRID-1.0\n",
+       "    creation_date:         2019-08-25T02:53:14Z\n",
+       "    data_specs_version:    01.00.27\n",
+       "    experiment:            historical land-only with no land-use change\n",
+       "    experiment_id:         land-noLu\n",
+       "    forcing_index:         1\n",
+       "    frequency:             mon\n",
+       "    further_info_url:      https://furtherinfo.es-doc.org/CMIP6.NOAA-GFDL.GFD...\n",
+       "    grid:                  land data regridded from Cubed-sphere (c96) to 180...\n",
+       "    grid_label:            gr1\n",
+       "    initialization_index:  1\n",
+       "    institution:           National Oceanic and Atmospheric Administration, G...\n",
+       "    institution_id:        NOAA-GFDL\n",
+       "    license:               CMIP6 model data produced by NOAA-GFDL is licensed...\n",
+       "    mip_era:               CMIP6\n",
+       "    nominal_resolution:    100 km\n",
+       "    parent_activity_id:    no parent\n",
+       "    parent_experiment_id:  no parent\n",
+       "    parent_mip_era:        no parent\n",
+       "    parent_source_id:      no parent\n",
+       "    parent_time_units:     no parent\n",
+       "    parent_variant_label:  no parent\n",
+       "    physics_index:         1\n",
+       "    product:               model-output\n",
+       "    realization_index:     1\n",
+       "    realm:                 land\n",
+       "    source:                GFDL-ESM4 (2018):\\natmos: GFDL-AM4.1 (Cubed-sphere...\n",
+       "    source_id:             GFDL-ESM4\n",
+       "    source_type:           LAND BGC\n",
+       "    sub_experiment:        none\n",
+       "    sub_experiment_id:     none\n",
+       "    title:                 NOAA GFDL GFDL-ESM4 model output prepared for CMIP...\n",
+       "    tracking_id:           hdl:21.14100/3325dad3-4bc4-454e-8ab0-53c12ba60e51\n",
+       "    variable_id:           fracLut\n",
+       "    variant_info:          N/A\n",
+       "    references:            see further_info_url attribute\n",
+       "    variant_label:         r1i1p1f1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-46fb7bd8-9afd-42c7-ac36-a668d6f41891' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-46fb7bd8-9afd-42c7-ac36-a668d6f41891' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span class='xr-has-index'>landuse</span>: 4</li><li><span class='xr-has-index'>lat</span>: 180</li><li><span class='xr-has-index'>lon</span>: 288</li><li><span class='xr-has-index'>bnds</span>: 2</li></ul></div></li><li class='xr-section-item'><input id='section-a868bdab-06cc-441d-ac75-8ffc342f0fe0' class='xr-section-summary-in' type='checkbox' checked /><label for='section-a868bdab-06cc-441d-ac75-8ffc342f0fe0' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.122e+05 1.122e+05 ... 1.125e+05</div><input id='attrs-53de3bc3-7705-4768-bf03-c00f451affba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53de3bc3-7705-4768-bf03-c00f451affba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54ab0af0-7ff5-41cf-8176-5ee701d7ce1b' class='xr-var-data-in' type='checkbox'><label for='data-54ab0af0-7ff5-41cf-8176-5ee701d7ce1b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>units :</span></dt><dd>days since 1700-01-01 00:00:00</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>calendar_type :</span></dt><dd>julian</dd><dt><span>calendar :</span></dt><dd>julian</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>description :</span></dt><dd>Temporal mean</dd></dl></div><div class='xr-var-data'><pre>array([112177. , 112206.5, 112237. , 112267.5, 112298. , 112328.5, 112359.5,\n",
+       "       112390. , 112420.5, 112451. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>landuse</span></div><div class='xr-var-dims'>(landuse)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-f4c872f5-4b99-4b1a-ab15-59b14847db70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4c872f5-4b99-4b1a-ab15-59b14847db70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35dccc38-f147-47b5-ad6c-5f3ecf41c2ba' class='xr-var-data-in' type='checkbox'><label for='data-35dccc38-f147-47b5-ad6c-5f3ecf41c2ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Land use type</dd><dt><span>standard_name :</span></dt><dd>area_type</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3]</dd><dt><span>flag_meanings :</span></dt><dd>psl pst crp urb</dd></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.5 -88.5 -87.5 ... 88.5 89.5</div><input id='attrs-0f66bce9-8f26-4bcf-b632-67997770ee65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f66bce9-8f26-4bcf-b632-67997770ee65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2a3bca4-ce35-428e-9b60-9d2e2738a0d7' class='xr-var-data-in' type='checkbox'><label for='data-f2a3bca4-ce35-428e-9b60-9d2e2738a0d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd></dl></div><div class='xr-var-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
+       "       -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,\n",
+       "       -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5,\n",
+       "       -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5,\n",
+       "       -49.5, -48.5, -47.5, -46.5, -45.5, -44.5, -43.5, -42.5, -41.5, -40.5,\n",
+       "       -39.5, -38.5, -37.5, -36.5, -35.5, -34.5, -33.5, -32.5, -31.5, -30.5,\n",
+       "       -29.5, -28.5, -27.5, -26.5, -25.5, -24.5, -23.5, -22.5, -21.5, -20.5,\n",
+       "       -19.5, -18.5, -17.5, -16.5, -15.5, -14.5, -13.5, -12.5, -11.5, -10.5,\n",
+       "        -9.5,  -8.5,  -7.5,  -6.5,  -5.5,  -4.5,  -3.5,  -2.5,  -1.5,  -0.5,\n",
+       "         0.5,   1.5,   2.5,   3.5,   4.5,   5.5,   6.5,   7.5,   8.5,   9.5,\n",
+       "        10.5,  11.5,  12.5,  13.5,  14.5,  15.5,  16.5,  17.5,  18.5,  19.5,\n",
+       "        20.5,  21.5,  22.5,  23.5,  24.5,  25.5,  26.5,  27.5,  28.5,  29.5,\n",
+       "        30.5,  31.5,  32.5,  33.5,  34.5,  35.5,  36.5,  37.5,  38.5,  39.5,\n",
+       "        40.5,  41.5,  42.5,  43.5,  44.5,  45.5,  46.5,  47.5,  48.5,  49.5,\n",
+       "        50.5,  51.5,  52.5,  53.5,  54.5,  55.5,  56.5,  57.5,  58.5,  59.5,\n",
+       "        60.5,  61.5,  62.5,  63.5,  64.5,  65.5,  66.5,  67.5,  68.5,  69.5,\n",
+       "        70.5,  71.5,  72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,\n",
+       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.625 1.875 3.125 ... 358.1 359.4</div><input id='attrs-c29d85d8-f5df-462e-b32c-32ea8b8e67b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c29d85d8-f5df-462e-b32c-32ea8b8e67b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c47e3d9-e2ae-4247-9c56-f56f01c5e8b5' class='xr-var-data-in' type='checkbox'><label for='data-9c47e3d9-e2ae-4247-9c56-f56f01c5e8b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd></dl></div><div class='xr-var-data'><pre>array([  0.625,   1.875,   3.125, ..., 356.875, 358.125, 359.375], shape=(288,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>bnds</span></div><div class='xr-var-dims'>(bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 2.0</div><input id='attrs-082002ad-35a9-4a95-8988-17e71dbff6bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-082002ad-35a9-4a95-8988-17e71dbff6bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44a98422-b8f6-4081-9c26-1c456afb532d' class='xr-var-data-in' type='checkbox'><label for='data-44a98422-b8f6-4081-9c26-1c456afb532d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertex number</dd></dl></div><div class='xr-var-data'><pre>array([1., 2.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0b241d7e-3eb2-4e56-8c52-58c80c23e420' class='xr-section-summary-in' type='checkbox' checked /><label for='section-0b241d7e-3eb2-4e56-8c52-58c80c23e420' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>fracLut</span></div><div class='xr-var-dims'>(time, landuse, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-1503959b-91ed-4f51-90c5-19946c080a42' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1503959b-91ed-4f51-90c5-19946c080a42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d24e5d45-c9e2-4cd0-a0b7-61efac599a6b' class='xr-var-data-in' type='checkbox'><label for='data-d24e5d45-c9e2-4cd0-a0b7-61efac599a6b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Percentage of grid cell for each land use tile</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>cell_methods :</span></dt><dd>area: mean where land over all_area_types time: mean</dd><dt><span>ocean_fillvalue :</span></dt><dd>0.0</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>standard_name :</span></dt><dd>area_fraction</dd><dt><span>interp_method :</span></dt><dd>conserve_order1</dd><dt><span>original_name :</span></dt><dd>fracLut</dd><dt><span>comment :</span></dt><dd>land_area = areacella * fracLut * 0.01</dd></dl></div><div class='xr-var-data'><pre>array([[[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         ...,\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.]],\n",
+       "\n",
+       "        [[0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         ...,\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.]],\n",
+       "\n",
+       "        [[0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         ...,\n",
+       "...\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.]],\n",
+       "\n",
+       "        [[0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         ...,\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.]],\n",
+       "\n",
+       "        [[0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         ...,\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.]]]],\n",
+       "      shape=(10, 4, 180, 288), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -89.0 -89.0 ... 89.0 90.0</div><input id='attrs-11abe27a-9ae9-40a7-bcd0-96c6ac5bce72' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11abe27a-9ae9-40a7-bcd0-96c6ac5bce72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-331f2398-5778-4f13-9681-fb4684bcbdc3' class='xr-var-data-in' type='checkbox'><label for='data-331f2398-5778-4f13-9681-fb4684bcbdc3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude bounds</dd></dl></div><div class='xr-var-data'><pre>array([[-90., -89.],\n",
+       "       [-89., -88.],\n",
+       "       [-88., -87.],\n",
+       "       [-87., -86.],\n",
+       "       [-86., -85.],\n",
+       "       [-85., -84.],\n",
+       "       [-84., -83.],\n",
+       "       [-83., -82.],\n",
+       "       [-82., -81.],\n",
+       "       [-81., -80.],\n",
+       "       [-80., -79.],\n",
+       "       [-79., -78.],\n",
+       "       [-78., -77.],\n",
+       "       [-77., -76.],\n",
+       "       [-76., -75.],\n",
+       "       [-75., -74.],\n",
+       "       [-74., -73.],\n",
+       "       [-73., -72.],\n",
+       "       [-72., -71.],\n",
+       "       [-71., -70.],\n",
+       "...\n",
+       "       [ 70.,  71.],\n",
+       "       [ 71.,  72.],\n",
+       "       [ 72.,  73.],\n",
+       "       [ 73.,  74.],\n",
+       "       [ 74.,  75.],\n",
+       "       [ 75.,  76.],\n",
+       "       [ 76.,  77.],\n",
+       "       [ 77.,  78.],\n",
+       "       [ 78.,  79.],\n",
+       "       [ 79.,  80.],\n",
+       "       [ 80.,  81.],\n",
+       "       [ 81.,  82.],\n",
+       "       [ 82.,  83.],\n",
+       "       [ 83.,  84.],\n",
+       "       [ 84.,  85.],\n",
+       "       [ 85.,  86.],\n",
+       "       [ 86.,  87.],\n",
+       "       [ 87.,  88.],\n",
+       "       [ 88.,  89.],\n",
+       "       [ 89.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.25 1.25 ... 358.8 358.8 360.0</div><input id='attrs-f793dda8-b5be-4236-8ebd-d41898cd3169' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f793dda8-b5be-4236-8ebd-d41898cd3169' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eaa16a4f-e37e-42a8-8acb-c849d4cdbb66' class='xr-var-data-in' type='checkbox'><label for='data-eaa16a4f-e37e-42a8-8acb-c849d4cdbb66' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude bounds</dd></dl></div><div class='xr-var-data'><pre>array([[  0.  ,   1.25],\n",
+       "       [  1.25,   2.5 ],\n",
+       "       [  2.5 ,   3.75],\n",
+       "       [  3.75,   5.  ],\n",
+       "       [  5.  ,   6.25],\n",
+       "       [  6.25,   7.5 ],\n",
+       "       [  7.5 ,   8.75],\n",
+       "       [  8.75,  10.  ],\n",
+       "       [ 10.  ,  11.25],\n",
+       "       [ 11.25,  12.5 ],\n",
+       "       [ 12.5 ,  13.75],\n",
+       "       [ 13.75,  15.  ],\n",
+       "       [ 15.  ,  16.25],\n",
+       "       [ 16.25,  17.5 ],\n",
+       "       [ 17.5 ,  18.75],\n",
+       "       [ 18.75,  20.  ],\n",
+       "       [ 20.  ,  21.25],\n",
+       "       [ 21.25,  22.5 ],\n",
+       "       [ 22.5 ,  23.75],\n",
+       "       [ 23.75,  25.  ],\n",
+       "...\n",
+       "       [335.  , 336.25],\n",
+       "       [336.25, 337.5 ],\n",
+       "       [337.5 , 338.75],\n",
+       "       [338.75, 340.  ],\n",
+       "       [340.  , 341.25],\n",
+       "       [341.25, 342.5 ],\n",
+       "       [342.5 , 343.75],\n",
+       "       [343.75, 345.  ],\n",
+       "       [345.  , 346.25],\n",
+       "       [346.25, 347.5 ],\n",
+       "       [347.5 , 348.75],\n",
+       "       [348.75, 350.  ],\n",
+       "       [350.  , 351.25],\n",
+       "       [351.25, 352.5 ],\n",
+       "       [352.5 , 353.75],\n",
+       "       [353.75, 355.  ],\n",
+       "       [355.  , 356.25],\n",
+       "       [356.25, 357.5 ],\n",
+       "       [357.5 , 358.75],\n",
+       "       [358.75, 360.  ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.122e+05 1.122e+05 ... 1.125e+05</div><input id='attrs-066cff2f-16ba-44b4-b2ca-4291c8916298' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-066cff2f-16ba-44b4-b2ca-4291c8916298' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5582b6a1-67f8-4ba2-b12f-0c4bf314ef2a' class='xr-var-data-in' type='checkbox'><label for='data-5582b6a1-67f8-4ba2-b12f-0c4bf314ef2a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time axis boundaries</dd></dl></div><div class='xr-var-data'><pre>array([[112163., 112191.],\n",
+       "       [112191., 112222.],\n",
+       "       [112222., 112252.],\n",
+       "       [112252., 112283.],\n",
+       "       [112283., 112313.],\n",
+       "       [112313., 112344.],\n",
+       "       [112344., 112375.],\n",
+       "       [112375., 112405.],\n",
+       "       [112405., 112436.],\n",
+       "       [112436., 112466.]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ba5ed297-e5cf-48c7-9eb3-ae3dc4cd03b8' class='xr-section-summary-in' type='checkbox' checked /><label for='section-ba5ed297-e5cf-48c7-9eb3-ae3dc4cd03b8' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(45)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>history :</span></dt><dd>File was processed by fremetar (GFDL analog of CMOR). TripleID: [exper_id_c4DzO28Hvy,realiz_id_ae3CbHYiNT,run_id_iBo24qg7Yw]</dd><dt><span>table_id :</span></dt><dd>Emon</dd><dt><span>activity_id :</span></dt><dd>LUMIP</dd><dt><span>branch_method :</span></dt><dd>no parent</dd><dt><span>branch_time_in_child :</span></dt><dd>0.0</dd><dt><span>comment :</span></dt><dd>&lt;null ref&gt;</dd><dt><span>contact :</span></dt><dd>gfdl.climate.model.info@noaa.gov</dd><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.0 UGRID-1.0</dd><dt><span>creation_date :</span></dt><dd>2019-08-25T02:53:14Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.27</dd><dt><span>experiment :</span></dt><dd>historical land-only with no land-use change</dd><dt><span>experiment_id :</span></dt><dd>land-noLu</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.NOAA-GFDL.GFDL-ESM4.land-noLu.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>land data regridded from Cubed-sphere (c96) to 180,288; interpolation method: conserve_order1</dd><dt><span>grid_label :</span></dt><dd>gr1</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA</dd><dt><span>institution_id :</span></dt><dd>NOAA-GFDL</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by NOAA-GFDL is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>parent_activity_id :</span></dt><dd>no parent</dd><dt><span>parent_experiment_id :</span></dt><dd>no parent</dd><dt><span>parent_mip_era :</span></dt><dd>no parent</dd><dt><span>parent_source_id :</span></dt><dd>no parent</dd><dt><span>parent_time_units :</span></dt><dd>no parent</dd><dt><span>parent_variant_label :</span></dt><dd>no parent</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>1</dd><dt><span>realm :</span></dt><dd>land</dd><dt><span>source :</span></dt><dd>GFDL-ESM4 (2018):\n",
+       "atmos: GFDL-AM4.1 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 49 levels; top level 1 Pa)\n",
+       "ocean: GFDL-OM4p5 (GFDL-MOM6, tripolar - nominal 0.5 deg; 720 x 576 longitude/latitude; 75 levels; top grid cell 0-2 m)\n",
+       "seaIce: GFDL-SIM4p5 (GFDL-SIS2.0, tripolar - nominal 0.5 deg; 720 x 576 longitude/latitude; 5 layers; 5 thickness categories)\n",
+       "land: GFDL-LM4.1\n",
+       "aerosol: interactive\n",
+       "atmosChem: GFDL-ATMCHEM4.1 (full atmospheric chemistry)\n",
+       "ocnBgchem: GFDL-COBALTv2\n",
+       "landIce: GFDL-LM4.1\n",
+       "(GFDL ID: 2019_0385)</dd><dt><span>source_id :</span></dt><dd>GFDL-ESM4</dd><dt><span>source_type :</span></dt><dd>LAND BGC</dd><dt><span>sub_experiment :</span></dt><dd>none</dd><dt><span>sub_experiment_id :</span></dt><dd>none</dd><dt><span>title :</span></dt><dd>NOAA GFDL GFDL-ESM4 model output prepared for CMIP6 historical land-only with no land-use change</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14100/3325dad3-4bc4-454e-8ab0-53c12ba60e51</dd><dt><span>variable_id :</span></dt><dd>fracLut</dd><dt><span>variant_info :</span></dt><dd>N/A</dd><dt><span>references :</span></dt><dd>see further_info_url attribute</dd><dt><span>variant_label :</span></dt><dd>r1i1p1f1</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 8MB\n",
+       "Dimensions:    (time: 10, landuse: 4, lat: 180, lon: 288, bnds: 2)\n",
+       "Coordinates:\n",
+       "  * time       (time) float64 80B 1.122e+05 1.122e+05 ... 1.124e+05 1.125e+05\n",
+       "  * landuse    (landuse) int32 16B 0 1 2 3\n",
+       "  * lat        (lat) float64 1kB -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
+       "  * lon        (lon) float64 2kB 0.625 1.875 3.125 4.375 ... 356.9 358.1 359.4\n",
+       "  * bnds       (bnds) float64 16B 1.0 2.0\n",
+       "Data variables:\n",
+       "    fracLut    (time, landuse, lat, lon) float32 8MB 0.0 0.0 0.0 ... 0.0 0.0 0.0\n",
+       "    lat_bnds   (lat, bnds) float64 3kB -90.0 -89.0 -89.0 ... 89.0 89.0 90.0\n",
+       "    lon_bnds   (lon, bnds) float64 5kB 0.0 1.25 1.25 2.5 ... 358.8 358.8 360.0\n",
+       "    time_bnds  (time, bnds) float64 160B 1.122e+05 1.122e+05 ... 1.125e+05\n",
+       "Attributes:\n",
+       "    external_variables:    areacella\n",
+       "    history:               File was processed by fremetar (GFDL analog of CMO...\n",
+       "    table_id:              Emon\n",
+       "    activity_id:           LUMIP\n",
+       "    branch_method:         no parent\n",
+       "    branch_time_in_child:  0.0\n",
+       "    comment:               <null ref>\n",
+       "    contact:               gfdl.climate.model.info@noaa.gov\n",
+       "    Conventions:           CF-1.7 CMIP-6.0 UGRID-1.0\n",
+       "    creation_date:         2019-08-25T02:53:14Z\n",
+       "    data_specs_version:    01.00.27\n",
+       "    experiment:            historical land-only with no land-use change\n",
+       "    experiment_id:         land-noLu\n",
+       "    forcing_index:         1\n",
+       "    frequency:             mon\n",
+       "    further_info_url:      https://furtherinfo.es-doc.org/CMIP6.NOAA-GFDL.GFD...\n",
+       "    grid:                  land data regridded from Cubed-sphere (c96) to 180...\n",
+       "    grid_label:            gr1\n",
+       "    initialization_index:  1\n",
+       "    institution:           National Oceanic and Atmospheric Administration, G...\n",
+       "    institution_id:        NOAA-GFDL\n",
+       "    license:               CMIP6 model data produced by NOAA-GFDL is licensed...\n",
+       "    mip_era:               CMIP6\n",
+       "    nominal_resolution:    100 km\n",
+       "    parent_activity_id:    no parent\n",
+       "    parent_experiment_id:  no parent\n",
+       "    parent_mip_era:        no parent\n",
+       "    parent_source_id:      no parent\n",
+       "    parent_time_units:     no parent\n",
+       "    parent_variant_label:  no parent\n",
+       "    physics_index:         1\n",
+       "    product:               model-output\n",
+       "    realization_index:     1\n",
+       "    realm:                 land\n",
+       "    source:                GFDL-ESM4 (2018):\\natmos: GFDL-AM4.1 (Cubed-sphere...\n",
+       "    source_id:             GFDL-ESM4\n",
+       "    source_type:           LAND BGC\n",
+       "    sub_experiment:        none\n",
+       "    sub_experiment_id:     none\n",
+       "    title:                 NOAA GFDL GFDL-ESM4 model output prepared for CMIP...\n",
+       "    tracking_id:           hdl:21.14100/3325dad3-4bc4-454e-8ab0-53c12ba60e51\n",
+       "    variable_id:           fracLut\n",
+       "    variant_info:          N/A\n",
+       "    references:            see further_info_url attribute\n",
+       "    variant_label:         r1i1p1f1"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "with xr.open_dataset(DATA_PATH, decode_times=False) as opened:\n",
+    "    source = opened.load()\n",
+    "\n",
+    "with xr.set_options(\n",
+    "    display_style=\"html\",\n",
+    "    display_expand_attrs=True,\n",
+    "    display_expand_coords=True,\n",
+    "    display_expand_data_vars=True,\n",
+    "    display_max_rows=80,\n",
+    "):\n",
+    "    display(source)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "22df6ea7",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-31T18:49:30.997805Z",
+     "iopub.status.busy": "2026-05-31T18:49:30.997705Z",
+     "iopub.status.idle": "2026-05-31T18:49:31.004580Z",
+     "shell.execute_reply": "2026-05-31T18:49:31.004034Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(10, 4, 180, 288)\n"
+     ]
+    }
+   ],
+   "source": [
+    "run_dir = Path(\"output\") / \"06_land_use_fraction\"\n",
+    "if run_dir.exists():\n",
+    "    shutil.rmtree(run_dir)\n",
+    "output_dir = run_dir / \"cmor_output\"\n",
+    "output_dir.mkdir(parents=True)\n",
+    "\n",
+    "DATASET_INFO = {\n",
+    "    \"_AXIS_ENTRY_FILE\": \"CMIP7_coordinate.json\",\n",
+    "    \"_FORMULA_VAR_FILE\": \"CMIP7_formula_terms.json\",\n",
+    "    \"_cmip7_option\": 1,\n",
+    "    \"_controlled_vocabulary_file\": CV_PATH,\n",
+    "    \"activity_id\": \"CMIP\",\n",
+    "    \"calendar\": source[\"time\"].attrs.get(\"calendar\", \"standard\"),\n",
+    "    \"experiment_id\": \"amip\",\n",
+    "    \"forcing_index\": \"f3\",\n",
+    "    \"frequency\": \"mon\",\n",
+    "    \"grid_label\": \"g999\",\n",
+    "    \"host_collection\": \"CMIP7\",\n",
+    "    \"initialization_index\": \"i1\",\n",
+    "    \"institution_id\": \"CCCma\",\n",
+    "    \"license_id\": \"CC-BY-4.0\",\n",
+    "    \"nominal_resolution\": \"100 km\",\n",
+    "    \"outpath\": str(output_dir),\n",
+    "    \"physics_index\": \"p1\",\n",
+    "    \"realization_index\": \"r9\",\n",
+    "    \"region\": \"glb\",\n",
+    "    \"source_id\": \"DUMMY-MODEL\",\n",
+    "}\n",
+    "input_json = run_dir / \"input.json\"\n",
+    "input_json.write_text(json.dumps(DATASET_INFO, indent=2, sort_keys=True))\n",
+    "\n",
+    "time = source[\"time\"].values.astype(\"f8\")\n",
+    "time_units = source[\"time\"].attrs[\"units\"]\n",
+    "lat = source[\"lat\"].values.astype(\"f8\")\n",
+    "lat_bnds = source[\"lat_bnds\"].values.astype(\"f8\")\n",
+    "lon = source[\"lon\"].values.astype(\"f8\")\n",
+    "lon_bnds = source[\"lon_bnds\"].values.astype(\"f8\")\n",
+    "landuse = [\n",
+    "    \"primary_and_secondary_land\",\n",
+    "    \"pastures\",\n",
+    "    \"crops\",\n",
+    "    \"urban\",\n",
+    "]\n",
+    "\n",
+    "missing_value = np.float32(1.0e20)\n",
+    "frac_lut_source = source[\"fracLut\"].values.astype(\"f4\")\n",
+    "frac_lut = np.where(np.isfinite(frac_lut_source), frac_lut_source, missing_value).astype(\"f4\")\n",
+    "\n",
+    "print(frac_lut.shape)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "cf5869cb",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-31T18:49:31.005839Z",
+     "iopub.status.busy": "2026-05-31T18:49:31.005750Z",
+     "iopub.status.idle": "2026-05-31T18:49:31.147657Z",
+     "shell.execute_reply": "2026-05-31T18:49:31.147226Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "output/06_land_use_fraction/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/fracLut/tpt-u-hxy-u/g999/v20260531/fracLut_tpt-u-hxy-u_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_200702-200711.nc\n"
+     ]
+    }
+   ],
+   "source": [
+    "cmor.setup(\n",
+    "    inpath=TABLES_DIR,\n",
+    "    netcdf_file_action=cmor.CMOR_REPLACE,\n",
+    "    logfile=str(run_dir / \"cmor.log\"),\n",
+    ")\n",
+    "cmor.dataset_json(str(input_json))\n",
+    "cmor.load_table(\"CMIP7_land.json\")\n",
+    "\n",
+    "time_id = cmor.axis(\"time1\", coord_vals=time, units=time_units)\n",
+    "landuse_id = cmor.axis(\"landuse\", coord_vals=landuse, units=\"1\")\n",
+    "lat_id = cmor.axis(\"latitude\", coord_vals=lat, cell_bounds=lat_bnds, units=\"degrees_north\")\n",
+    "lon_id = cmor.axis(\"longitude\", coord_vals=lon, cell_bounds=lon_bnds, units=\"degrees_east\")\n",
+    "\n",
+    "variable_name = \"fracLut_tpt-u-hxy-u\"\n",
+    "frac_lut_id = cmor.variable(variable_name, \"%\", [time_id, landuse_id, lat_id, lon_id], missing_value=missing_value)\n",
+    "compound_name = \".\".join([\"land\"] + variable_name.split(\"_\") + [\"mon\", \"glb\"])\n",
+    "\n",
+    "with open(Path(TABLES_DIR) / \"CMIP7_cell_measures.json\") as handle:\n",
+    "    cell_measure = json.load(handle)[\"cell_measures\"].get(compound_name)\n",
+    "if cell_measure:\n",
+    "    cmor.set_variable_attribute(frac_lut_id, \"cell_measures\", \"c\", cell_measure)\n",
+    "\n",
+    "with open(Path(TABLES_DIR) / \"CMIP7_long_name_overrides.json\") as handle:\n",
+    "    long_name = json.load(handle)[\"long_name_overrides\"].get(compound_name)\n",
+    "if long_name:\n",
+    "    cmor.set_variable_attribute(frac_lut_id, \"long_name\", \"c\", long_name)\n",
+    "\n",
+    "cmor.write(frac_lut_id, frac_lut)\n",
+    "netcdf_path = Path(cmor.close(frac_lut_id, file_name=True))\n",
+    "cmor.close()\n",
+    "\n",
+    "print(netcdf_path.resolve().relative_to(Path.cwd().resolve()))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "cdd06048",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-31T18:49:31.149226Z",
+     "iopub.status.busy": "2026-05-31T18:49:31.149087Z",
+     "iopub.status.idle": "2026-05-31T18:49:31.179621Z",
+     "shell.execute_reply": "2026-05-31T18:49:31.179114Z"
+    }
+   },
+   "outputs": [
+    {
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+       "}\n",
+       "\n",
+       ".xr-group-box-contents {\n",
+       "  grid-column-start: 3;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > label::before {\n",
+       "  content: \"📂\";\n",
+       "  padding-right: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label::before {\n",
+       "  content: \"📁\";\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked + label {\n",
+       "  padding-bottom: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents > input + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-ellipsis {\n",
+       "  font-size: 1.4em;\n",
+       "  font-weight: 900;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  letter-spacing: 0.15em;\n",
+       "  cursor: default;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 8MB\n",
+       "Dimensions:   (lat: 180, bnds: 2, lon: 288, time: 10, landuse: 4)\n",
+       "Coordinates:\n",
+       "  * lat       (lat) float64 1kB -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
+       "  * lon       (lon) float64 2kB 0.625 1.875 3.125 4.375 ... 356.9 358.1 359.4\n",
+       "  * time      (time) float64 80B 1.122e+05 1.122e+05 ... 1.124e+05 1.125e+05\n",
+       "    sector    (landuse) |S26 104B b&#x27;primary_and_secondary_land&#x27; ... b&#x27;urban&#x27;\n",
+       "Dimensions without coordinates: bnds, landuse\n",
+       "Data variables:\n",
+       "    lat_bnds  (lat, bnds) float64 3kB -90.0 -89.0 -89.0 -88.0 ... 89.0 89.0 90.0\n",
+       "    lon_bnds  (lon, bnds) float64 5kB 0.0 1.25 1.25 2.5 ... 358.8 358.8 360.0\n",
+       "    fracLut   (time, landuse, lat, lon) float32 8MB 0.0 0.0 0.0 ... 0.0 0.0 0.0\n",
+       "Attributes:\n",
+       "    Conventions:           CF-1.12\n",
+       "    activity_id:           CMIP\n",
+       "    area_label:            u\n",
+       "    branded_variable:      fracLut_tpt-u-hxy-u\n",
+       "    branding_suffix:       tpt-u-hxy-u\n",
+       "    creation_date:         2026-05-31T18:49:31Z\n",
+       "    data_specs_version:    MIP-DS7.1.0.0\n",
+       "    description:           Simulation of the climate of the recent past with ...\n",
+       "    drs_specs:             MIP-DRS7\n",
+       "    experiment:            Simulation of the climate of the recent past with ...\n",
+       "    experiment_id:         amip\n",
+       "    external_variables:    areacella\n",
+       "    forcing_index:         f3\n",
+       "    frequency:             mon\n",
+       "    grid_label:            g999\n",
+       "    history:               2026-05-31T18:49:31Z ; CMOR rewrote data to be con...\n",
+       "    horizontal_label:      hxy\n",
+       "    host_collection:       CMIP7\n",
+       "    initialization_index:  i1\n",
+       "    institution:           Environment and Climate Change Canada\n",
+       "    institution_id:        CCCma\n",
+       "    license_id:            CC-BY-4.0\n",
+       "    mip_era:               CMIP7\n",
+       "    nominal_resolution:    100 km\n",
+       "    physics_index:         p1\n",
+       "    product:               model-output\n",
+       "    realization_index:     r9\n",
+       "    realm:                 land\n",
+       "    region:                glb\n",
+       "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
+       "    source_id:             DUMMY-MODEL\n",
+       "    table_info:            Name: CMIP7_land.json; Creation Date:(2026-04-21 1...\n",
+       "    temporal_label:        tpt\n",
+       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
+       "    tracking_id:           hdl:21.14107/0d2144de-0837-47c3-b1ad-763c1f94c0f9\n",
+       "    variable_id:           fracLut\n",
+       "    variant_label:         r9i1p1f3\n",
+       "    vertical_label:        u\n",
+       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b43c916d-6b6c-44d8-a4fd-61c88bad7786' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-b43c916d-6b6c-44d8-a4fd-61c88bad7786' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 180</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 288</li><li><span class='xr-has-index'>time</span>: 10</li><li><span>landuse</span>: 4</li></ul></div></li><li class='xr-section-item'><input id='section-7520dd83-de13-4df4-a397-d2dbc1ea0892' class='xr-section-summary-in' type='checkbox' checked /><label for='section-7520dd83-de13-4df4-a397-d2dbc1ea0892' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.5 -88.5 -87.5 ... 88.5 89.5</div><input id='attrs-46691ebe-63d2-4e91-9986-e700e7a2b6fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-46691ebe-63d2-4e91-9986-e700e7a2b6fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d436cf8f-371c-434f-8a0c-dd22d1dfba0c' class='xr-var-data-in' type='checkbox'><label for='data-d436cf8f-371c-434f-8a0c-dd22d1dfba0c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
+       "       -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,\n",
+       "       -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5,\n",
+       "       -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5,\n",
+       "       -49.5, -48.5, -47.5, -46.5, -45.5, -44.5, -43.5, -42.5, -41.5, -40.5,\n",
+       "       -39.5, -38.5, -37.5, -36.5, -35.5, -34.5, -33.5, -32.5, -31.5, -30.5,\n",
+       "       -29.5, -28.5, -27.5, -26.5, -25.5, -24.5, -23.5, -22.5, -21.5, -20.5,\n",
+       "       -19.5, -18.5, -17.5, -16.5, -15.5, -14.5, -13.5, -12.5, -11.5, -10.5,\n",
+       "        -9.5,  -8.5,  -7.5,  -6.5,  -5.5,  -4.5,  -3.5,  -2.5,  -1.5,  -0.5,\n",
+       "         0.5,   1.5,   2.5,   3.5,   4.5,   5.5,   6.5,   7.5,   8.5,   9.5,\n",
+       "        10.5,  11.5,  12.5,  13.5,  14.5,  15.5,  16.5,  17.5,  18.5,  19.5,\n",
+       "        20.5,  21.5,  22.5,  23.5,  24.5,  25.5,  26.5,  27.5,  28.5,  29.5,\n",
+       "        30.5,  31.5,  32.5,  33.5,  34.5,  35.5,  36.5,  37.5,  38.5,  39.5,\n",
+       "        40.5,  41.5,  42.5,  43.5,  44.5,  45.5,  46.5,  47.5,  48.5,  49.5,\n",
+       "        50.5,  51.5,  52.5,  53.5,  54.5,  55.5,  56.5,  57.5,  58.5,  59.5,\n",
+       "        60.5,  61.5,  62.5,  63.5,  64.5,  65.5,  66.5,  67.5,  68.5,  69.5,\n",
+       "        70.5,  71.5,  72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,\n",
+       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.625 1.875 3.125 ... 358.1 359.4</div><input id='attrs-202e4368-3e91-411c-8e6e-e65cd1c70924' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-202e4368-3e91-411c-8e6e-e65cd1c70924' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4816a86-fb3f-4741-a8b7-b8bacc62b9b5' class='xr-var-data-in' type='checkbox'><label for='data-b4816a86-fb3f-4741-a8b7-b8bacc62b9b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.625,   1.875,   3.125, ..., 356.875, 358.125, 359.375], shape=(288,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.122e+05 1.122e+05 ... 1.125e+05</div><input id='attrs-0b245661-c4ce-4766-b2ff-a7b545e305d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b245661-c4ce-4766-b2ff-a7b545e305d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72a0d87b-f4b6-4ada-ba93-b0c389f0cc38' class='xr-var-data-in' type='checkbox'><label for='data-72a0d87b-f4b6-4ada-ba93-b0c389f0cc38' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>days since 1700-01-01 00:00:00</dd><dt><span>calendar :</span></dt><dd>julian</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Points</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([112177. , 112206.5, 112237. , 112267.5, 112298. , 112328.5, 112359.5,\n",
+       "       112390. , 112420.5, 112451. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sector</span></div><div class='xr-var-dims'>(landuse)</div><div class='xr-var-dtype'>|S26</div><div class='xr-var-preview xr-preview'>b&#x27;primary_and_secondary_land&#x27; .....</div><input id='attrs-61ef0cc4-3093-4334-817a-47c21f51714d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61ef0cc4-3093-4334-817a-47c21f51714d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cbeb509-a61b-4617-803d-7e7fc51a42bd' class='xr-var-data-in' type='checkbox'><label for='data-5cbeb509-a61b-4617-803d-7e7fc51a42bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Land use type</dd><dt><span>standard_name :</span></dt><dd>area_type</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;primary_and_secondary_land&#x27;, b&#x27;pastures&#x27;, b&#x27;crops&#x27;, b&#x27;urban&#x27;],\n",
+       "      dtype=&#x27;|S26&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-52865f38-5aee-4668-b684-0b329b9120c9' class='xr-section-summary-in' type='checkbox' checked /><label for='section-52865f38-5aee-4668-b684-0b329b9120c9' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -89.0 -89.0 ... 89.0 90.0</div><input id='attrs-993e30fb-4371-4027-a406-e5858e509fb4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-993e30fb-4371-4027-a406-e5858e509fb4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b412605-c220-4d3f-b352-e71c8ae769dd' class='xr-var-data-in' type='checkbox'><label for='data-5b412605-c220-4d3f-b352-e71c8ae769dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -89.],\n",
+       "       [-89., -88.],\n",
+       "       [-88., -87.],\n",
+       "       [-87., -86.],\n",
+       "       [-86., -85.],\n",
+       "       [-85., -84.],\n",
+       "       [-84., -83.],\n",
+       "       [-83., -82.],\n",
+       "       [-82., -81.],\n",
+       "       [-81., -80.],\n",
+       "       [-80., -79.],\n",
+       "       [-79., -78.],\n",
+       "       [-78., -77.],\n",
+       "       [-77., -76.],\n",
+       "       [-76., -75.],\n",
+       "       [-75., -74.],\n",
+       "       [-74., -73.],\n",
+       "       [-73., -72.],\n",
+       "       [-72., -71.],\n",
+       "       [-71., -70.],\n",
+       "...\n",
+       "       [ 70.,  71.],\n",
+       "       [ 71.,  72.],\n",
+       "       [ 72.,  73.],\n",
+       "       [ 73.,  74.],\n",
+       "       [ 74.,  75.],\n",
+       "       [ 75.,  76.],\n",
+       "       [ 76.,  77.],\n",
+       "       [ 77.,  78.],\n",
+       "       [ 78.,  79.],\n",
+       "       [ 79.,  80.],\n",
+       "       [ 80.,  81.],\n",
+       "       [ 81.,  82.],\n",
+       "       [ 82.,  83.],\n",
+       "       [ 83.,  84.],\n",
+       "       [ 84.,  85.],\n",
+       "       [ 85.,  86.],\n",
+       "       [ 86.,  87.],\n",
+       "       [ 87.,  88.],\n",
+       "       [ 88.,  89.],\n",
+       "       [ 89.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.25 1.25 ... 358.8 358.8 360.0</div><input id='attrs-e647081c-3446-4c54-bbca-67f3c4fe543a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e647081c-3446-4c54-bbca-67f3c4fe543a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5de431e4-45b7-4024-b0fb-1d3c208334c1' class='xr-var-data-in' type='checkbox'><label for='data-5de431e4-45b7-4024-b0fb-1d3c208334c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.  ,   1.25],\n",
+       "       [  1.25,   2.5 ],\n",
+       "       [  2.5 ,   3.75],\n",
+       "       [  3.75,   5.  ],\n",
+       "       [  5.  ,   6.25],\n",
+       "       [  6.25,   7.5 ],\n",
+       "       [  7.5 ,   8.75],\n",
+       "       [  8.75,  10.  ],\n",
+       "       [ 10.  ,  11.25],\n",
+       "       [ 11.25,  12.5 ],\n",
+       "       [ 12.5 ,  13.75],\n",
+       "       [ 13.75,  15.  ],\n",
+       "       [ 15.  ,  16.25],\n",
+       "       [ 16.25,  17.5 ],\n",
+       "       [ 17.5 ,  18.75],\n",
+       "       [ 18.75,  20.  ],\n",
+       "       [ 20.  ,  21.25],\n",
+       "       [ 21.25,  22.5 ],\n",
+       "       [ 22.5 ,  23.75],\n",
+       "       [ 23.75,  25.  ],\n",
+       "...\n",
+       "       [335.  , 336.25],\n",
+       "       [336.25, 337.5 ],\n",
+       "       [337.5 , 338.75],\n",
+       "       [338.75, 340.  ],\n",
+       "       [340.  , 341.25],\n",
+       "       [341.25, 342.5 ],\n",
+       "       [342.5 , 343.75],\n",
+       "       [343.75, 345.  ],\n",
+       "       [345.  , 346.25],\n",
+       "       [346.25, 347.5 ],\n",
+       "       [347.5 , 348.75],\n",
+       "       [348.75, 350.  ],\n",
+       "       [350.  , 351.25],\n",
+       "       [351.25, 352.5 ],\n",
+       "       [352.5 , 353.75],\n",
+       "       [353.75, 355.  ],\n",
+       "       [355.  , 356.25],\n",
+       "       [356.25, 357.5 ],\n",
+       "       [357.5 , 358.75],\n",
+       "       [358.75, 360.  ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fracLut</span></div><div class='xr-var-dims'>(time, landuse, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-b0197351-c1bd-4118-9358-ef73c271ab99' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0197351-c1bd-4118-9358-ef73c271ab99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-008019d3-bc71-4752-8c24-7d70ff9bb7ca' class='xr-var-data-in' type='checkbox'><label for='data-008019d3-bc71-4752-8c24-7d70ff9bb7ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>area_fraction</dd><dt><span>long_name :</span></dt><dd>Percentage of Grid Cell for Each Land-Use Tile</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>cell_methods :</span></dt><dd>area: mean time: point</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         ...,\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.]],\n",
+       "\n",
+       "        [[0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         ...,\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.]],\n",
+       "\n",
+       "        [[0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         ...,\n",
+       "...\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.]],\n",
+       "\n",
+       "        [[0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         ...,\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.]],\n",
+       "\n",
+       "        [[0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         ...,\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.]]]],\n",
+       "      shape=(10, 4, 180, 288), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fdf3b190-b977-4e4d-a4d2-1a39cd6d422d' class='xr-section-summary-in' type='checkbox' checked /><label for='section-fdf3b190-b977-4e4d-a4d2-1a39cd6d422d' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>fracLut_tpt-u-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tpt-u-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-31T18:49:31Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-31T18:49:31Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>land</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_land.json; Creation Date:(2026-04-21 15:01:29) MD5:bafb8e42cac0efce87531baf8e7d21b2</dd><dt><span>temporal_label :</span></dt><dd>tpt</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/0d2144de-0837-47c3-b1ad-763c1f94c0f9</dd><dt><span>variable_id :</span></dt><dd>fracLut</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 8MB\n",
+       "Dimensions:   (lat: 180, bnds: 2, lon: 288, time: 10, landuse: 4)\n",
+       "Coordinates:\n",
+       "  * lat       (lat) float64 1kB -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
+       "  * lon       (lon) float64 2kB 0.625 1.875 3.125 4.375 ... 356.9 358.1 359.4\n",
+       "  * time      (time) float64 80B 1.122e+05 1.122e+05 ... 1.124e+05 1.125e+05\n",
+       "    sector    (landuse) |S26 104B b'primary_and_secondary_land' ... b'urban'\n",
+       "Dimensions without coordinates: bnds, landuse\n",
+       "Data variables:\n",
+       "    lat_bnds  (lat, bnds) float64 3kB -90.0 -89.0 -89.0 -88.0 ... 89.0 89.0 90.0\n",
+       "    lon_bnds  (lon, bnds) float64 5kB 0.0 1.25 1.25 2.5 ... 358.8 358.8 360.0\n",
+       "    fracLut   (time, landuse, lat, lon) float32 8MB 0.0 0.0 0.0 ... 0.0 0.0 0.0\n",
+       "Attributes:\n",
+       "    Conventions:           CF-1.12\n",
+       "    activity_id:           CMIP\n",
+       "    area_label:            u\n",
+       "    branded_variable:      fracLut_tpt-u-hxy-u\n",
+       "    branding_suffix:       tpt-u-hxy-u\n",
+       "    creation_date:         2026-05-31T18:49:31Z\n",
+       "    data_specs_version:    MIP-DS7.1.0.0\n",
+       "    description:           Simulation of the climate of the recent past with ...\n",
+       "    drs_specs:             MIP-DRS7\n",
+       "    experiment:            Simulation of the climate of the recent past with ...\n",
+       "    experiment_id:         amip\n",
+       "    external_variables:    areacella\n",
+       "    forcing_index:         f3\n",
+       "    frequency:             mon\n",
+       "    grid_label:            g999\n",
+       "    history:               2026-05-31T18:49:31Z ; CMOR rewrote data to be con...\n",
+       "    horizontal_label:      hxy\n",
+       "    host_collection:       CMIP7\n",
+       "    initialization_index:  i1\n",
+       "    institution:           Environment and Climate Change Canada\n",
+       "    institution_id:        CCCma\n",
+       "    license_id:            CC-BY-4.0\n",
+       "    mip_era:               CMIP7\n",
+       "    nominal_resolution:    100 km\n",
+       "    physics_index:         p1\n",
+       "    product:               model-output\n",
+       "    realization_index:     r9\n",
+       "    realm:                 land\n",
+       "    region:                glb\n",
+       "    source:                DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: D...\n",
+       "    source_id:             DUMMY-MODEL\n",
+       "    table_info:            Name: CMIP7_land.json; Creation Date:(2026-04-21 1...\n",
+       "    temporal_label:        tpt\n",
+       "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
+       "    tracking_id:           hdl:21.14107/0d2144de-0837-47c3-b1ad-763c1f94c0f9\n",
+       "    variable_id:           fracLut\n",
+       "    variant_label:         r9i1p1f3\n",
+       "    vertical_label:        u\n",
+       "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
+       "    cmor_version:          3.15.1"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "with xr.open_dataset(netcdf_path, decode_times=False) as opened:\n",
+    "    ds = opened.load()\n",
+    "\n",
+    "with xr.set_options(\n",
+    "    display_style=\"html\",\n",
+    "    display_expand_attrs=True,\n",
+    "    display_expand_coords=True,\n",
+    "    display_expand_data_vars=True,\n",
+    "    display_max_rows=80,\n",
+    "):\n",
+    "    display(ds)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "1864a108",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-31T18:49:31.181168Z",
+     "iopub.status.busy": "2026-05-31T18:49:31.181069Z",
+     "iopub.status.idle": "2026-05-31T18:49:31.738198Z",
+     "shell.execute_reply": "2026-05-31T18:49:31.737674Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1300x760 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, axes = plt.subplots(2, 2, figsize=(13, 7.6), constrained_layout=True)\n",
+    "lon_wrapped = ((ds[\"lon\"].values + 180.0) % 360.0) - 180.0\n",
+    "lon_order = np.argsort(lon_wrapped)\n",
+    "lon_grid, lat_grid = np.meshgrid(lon_wrapped[lon_order], ds[\"lat\"].values)\n",
+    "\n",
+    "for axis, landuse_index, landuse_name in zip(axes.ravel(), range(len(landuse)), landuse):\n",
+    "    map_plot = Basemap(\n",
+    "        projection=\"cyl\",\n",
+    "        llcrnrlon=-180,\n",
+    "        urcrnrlon=180,\n",
+    "        llcrnrlat=-90,\n",
+    "        urcrnrlat=90,\n",
+    "        resolution=\"c\",\n",
+    "        ax=axis,\n",
+    "    )\n",
+    "    map_plot.drawmapboundary(fill_color=\"#f7fbff\", linewidth=0.8)\n",
+    "    x, y = map_plot(lon_grid, lat_grid)\n",
+    "    field = ds[\"fracLut\"].isel(time=0, landuse=landuse_index).values[:, lon_order]\n",
+    "    mesh = map_plot.pcolormesh(x, y, field, shading=\"auto\", cmap=\"YlGn\", vmin=0, vmax=100)\n",
+    "    map_plot.drawcoastlines(linewidth=0.6, color=\"0.15\")\n",
+    "    map_plot.drawparallels(np.arange(-90, 91, 45), labels=[1, 0, 0, 0], linewidth=0.35, color=\"0.45\", dashes=[1, 1])\n",
+    "    map_plot.drawmeridians(np.arange(-180, 181, 90), labels=[0, 0, 0, 1], linewidth=0.35, color=\"0.45\", dashes=[1, 1])\n",
+    "    axis.set_title(landuse_name.replace(\"_\", \" \"))\n",
+    "\n",
+    "colorbar = fig.colorbar(mesh, ax=axes, location=\"right\", shrink=0.86, pad=0.02)\n",
+    "colorbar.set_label(\"%\")\n",
+    "fig.suptitle(\"CMIP7 fracLut by land-use tile, first month\")\n",
+    "plt.show()\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/06_non_lat_lon_sea_ice_concentration.ipynb b/notebooks/07_non_lat_lon_sea_ice_concentration.ipynb
similarity index 97%
rename from notebooks/06_non_lat_lon_sea_ice_concentration.ipynb
rename to notebooks/07_non_lat_lon_sea_ice_concentration.ipynb
index da73bfa5..bfd90ff5 100644
--- a/notebooks/06_non_lat_lon_sea_ice_concentration.ipynb
+++ b/notebooks/07_non_lat_lon_sea_ice_concentration.ipynb
@@ -16,13 +16,20 @@
    "id": "afaab710",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T00:55:38.533356Z",
-     "iopub.status.busy": "2026-05-30T00:55:38.533183Z",
-     "iopub.status.idle": "2026-05-30T00:55:39.027635Z",
-     "shell.execute_reply": "2026-05-30T00:55:39.027251Z"
+     "iopub.execute_input": "2026-05-31T18:49:52.140852Z",
+     "iopub.status.busy": "2026-05-31T18:49:52.140758Z",
+     "iopub.status.idle": "2026-05-31T18:50:03.500683Z",
+     "shell.execute_reply": "2026-05-31T18:50:03.500229Z"
     }
    },
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Matplotlib is building the font cache; this may take a moment.\n"
+     ]
+    },
     {
      "name": "stdout",
      "output_type": "stream",
@@ -73,10 +80,10 @@
    "id": "2a3d3a10",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T00:55:39.028998Z",
-     "iopub.status.busy": "2026-05-30T00:55:39.028885Z",
-     "iopub.status.idle": "2026-05-30T00:55:39.159428Z",
-     "shell.execute_reply": "2026-05-30T00:55:39.159057Z"
+     "iopub.execute_input": "2026-05-31T18:50:03.502729Z",
+     "iopub.status.busy": "2026-05-31T18:50:03.502547Z",
+     "iopub.status.idle": "2026-05-31T18:50:03.811056Z",
+     "shell.execute_reply": "2026-05-31T18:50:03.810578Z"
     }
    },
    "outputs": [
@@ -683,7 +690,7 @@
        "    product_id:                osi-450-a1\n",
        "    doi:                       10.15770/EUM_SAF_OSI_0023\n",
        "    references:                Product User Manual (2025),Algorithm Theoretic...\n",
-       "    license:                   http://creativecommons.org/licenses/by/4.0/</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e0f61af3-73b7-443e-a119-092f046d9296' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-e0f61af3-73b7-443e-a119-092f046d9296' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>yc</span>: 432</li><li><span class='xr-has-index'>xc</span>: 432</li><li><span>nv</span>: 2</li></ul></div></li><li class='xr-section-item'><input id='section-f3ff2db7-ca19-4805-803b-9384852928b0' class='xr-section-summary-in' type='checkbox' checked /><label for='section-f3ff2db7-ca19-4805-803b-9384852928b0' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.329e+09</div><input id='attrs-349b8873-bf1c-4b21-8c90-f75f458dfc76' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-349b8873-bf1c-4b21-8c90-f75f458dfc76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-542e088c-e026-4b6c-8970-ffd277c90267' class='xr-var-data-in' type='checkbox'><label for='data-542e088c-e026-4b6c-8970-ffd277c90267' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>reference time of product</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>seconds since 1978-01-01</dd><dt><span>calendar :</span></dt><dd>standard</dd></dl></div><div class='xr-var-data'><pre>array([1.329394e+09])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yc</span></div><div class='xr-var-dims'>(yc)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.388e+03 5.362e+03 ... -5.388e+03</div><input id='attrs-066138c2-29eb-484b-8487-4c40912df1ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-066138c2-29eb-484b-8487-4c40912df1ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3b8eafe-d6d7-4405-863b-68348f466b19' class='xr-var-data-in' type='checkbox'><label for='data-f3b8eafe-d6d7-4405-863b-68348f466b19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>km</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection (northings)</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 5387.5,  5362.5,  5337.5, ..., -5337.5, -5362.5, -5387.5], shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xc</span></div><div class='xr-var-dims'>(xc)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.388e+03 -5.362e+03 ... 5.388e+03</div><input id='attrs-5e82739d-957b-4513-a1ac-ceb152774117' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e82739d-957b-4513-a1ac-ceb152774117' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d472061-1bec-4633-a7cc-8ab453ed87ed' class='xr-var-data-in' type='checkbox'><label for='data-4d472061-1bec-4633-a7cc-8ab453ed87ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>km</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection (eastings)</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-5387.5, -5362.5, -5337.5, ...,  5337.5,  5362.5,  5387.5], shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(yc, xc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>16.62 16.82 17.02 ... 16.82 16.62</div><input id='attrs-3fd7e811-dda4-4683-b613-d558822ec9ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fd7e811-dda4-4683-b613-d558822ec9ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e37d41bf-cf6a-4c37-a22c-3d67286e1d43' class='xr-var-data-in' type='checkbox'><label for='data-e37d41bf-cf6a-4c37-a22c-3d67286e1d43' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude coordinate</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([[16.623926, 16.822655, 17.020658, ..., 17.020658, 16.822655,\n",
+       "    license:                   http://creativecommons.org/licenses/by/4.0/</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c673d643-9773-4ec9-84c0-cc7b4ab89cb9' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-c673d643-9773-4ec9-84c0-cc7b4ab89cb9' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>yc</span>: 432</li><li><span class='xr-has-index'>xc</span>: 432</li><li><span>nv</span>: 2</li></ul></div></li><li class='xr-section-item'><input id='section-83d14f86-3d12-4c1b-89da-d53e5c507891' class='xr-section-summary-in' type='checkbox' checked /><label for='section-83d14f86-3d12-4c1b-89da-d53e5c507891' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.329e+09</div><input id='attrs-1587490e-5215-445a-8c94-be670beda91d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1587490e-5215-445a-8c94-be670beda91d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b995fced-0a99-4e55-8e2e-4062bfed4bea' class='xr-var-data-in' type='checkbox'><label for='data-b995fced-0a99-4e55-8e2e-4062bfed4bea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>reference time of product</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>seconds since 1978-01-01</dd><dt><span>calendar :</span></dt><dd>standard</dd></dl></div><div class='xr-var-data'><pre>array([1.329394e+09])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yc</span></div><div class='xr-var-dims'>(yc)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.388e+03 5.362e+03 ... -5.388e+03</div><input id='attrs-3ad8d479-ed4f-48a7-9f06-8edd7a1df5f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ad8d479-ed4f-48a7-9f06-8edd7a1df5f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4161fb4-807a-4d20-88c0-f7815251c1d6' class='xr-var-data-in' type='checkbox'><label for='data-c4161fb4-807a-4d20-88c0-f7815251c1d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>km</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection (northings)</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 5387.5,  5362.5,  5337.5, ..., -5337.5, -5362.5, -5387.5], shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xc</span></div><div class='xr-var-dims'>(xc)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.388e+03 -5.362e+03 ... 5.388e+03</div><input id='attrs-40069751-adb5-4b83-a623-52c3223370cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40069751-adb5-4b83-a623-52c3223370cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb872cfb-54c9-4426-9836-d04a9a2f4713' class='xr-var-data-in' type='checkbox'><label for='data-fb872cfb-54c9-4426-9836-d04a9a2f4713' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>km</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection (eastings)</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-5387.5, -5362.5, -5337.5, ...,  5337.5,  5362.5,  5387.5], shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(yc, xc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>16.62 16.82 17.02 ... 16.82 16.62</div><input id='attrs-39d73391-bbd4-4fb0-a940-b3036c8b1c54' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39d73391-bbd4-4fb0-a940-b3036c8b1c54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34e85b6b-03dc-437f-b848-6ca52d0448f2' class='xr-var-data-in' type='checkbox'><label for='data-34e85b6b-03dc-437f-b848-6ca52d0448f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude coordinate</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([[16.623926, 16.822655, 17.020658, ..., 17.020658, 16.822655,\n",
        "        16.623926],\n",
        "       [16.822655, 17.021584, 17.219795, ..., 17.219795, 17.021584,\n",
        "        16.822655],\n",
@@ -695,7 +702,7 @@
        "       [16.822655, 17.021584, 17.219795, ..., 17.219795, 17.021584,\n",
        "        16.822655],\n",
        "       [16.623926, 16.822655, 17.020658, ..., 17.020658, 16.822655,\n",
-       "        16.623926]], shape=(432, 432), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(yc, xc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-135.0 -135.1 -135.3 ... 44.87 45.0</div><input id='attrs-437f2de8-cd51-43b1-89fa-0f8f5e46c50b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-437f2de8-cd51-43b1-89fa-0f8f5e46c50b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d4976ae-a706-4195-a103-90553d3f9d4a' class='xr-var-data-in' type='checkbox'><label for='data-0d4976ae-a706-4195-a103-90553d3f9d4a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude coordinate</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([[-135.      , -135.13324 , -135.2671  , ...,  135.2671  ,\n",
+       "        16.623926]], shape=(432, 432), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(yc, xc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-135.0 -135.1 -135.3 ... 44.87 45.0</div><input id='attrs-1e0fd6b1-611a-48f5-860a-65d7676dfa17' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e0fd6b1-611a-48f5-860a-65d7676dfa17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb454fd9-8dfc-4d49-a089-3c19210f1dd8' class='xr-var-data-in' type='checkbox'><label for='data-fb454fd9-8dfc-4d49-a089-3c19210f1dd8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude coordinate</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([[-135.      , -135.13324 , -135.2671  , ...,  135.2671  ,\n",
        "         135.13324 ,  135.      ],\n",
        "       [-134.86676 , -135.      , -135.13387 , ...,  135.13387 ,\n",
        "         135.      ,  134.86676 ],\n",
@@ -707,19 +714,19 @@
        "       [ -45.133247,  -45.      ,  -44.86613 , ...,   44.86613 ,\n",
        "          45.      ,   45.133247],\n",
        "       [ -45.      ,  -44.866753,  -44.732887, ...,   44.732887,\n",
-       "          44.866753,   45.      ]], shape=(432, 432), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-87dad619-e459-494d-816a-fe87da58c103' class='xr-section-summary-in' type='checkbox' checked /><label for='section-87dad619-e459-494d-816a-fe87da58c103' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Lambert_Azimuthal_Grid</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>-2147483647</div><input id='attrs-848d365c-4d56-4ed5-9b62-a40132c90dd3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-848d365c-4d56-4ed5-9b62-a40132c90dd3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed459652-9108-49a2-9bf1-dcab6f4900a7' class='xr-var-data-in' type='checkbox'><label for='data-ed459652-9108-49a2-9bf1-dcab6f4900a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping_name :</span></dt><dd>lambert_azimuthal_equal_area</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>90.0</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>proj4_string :</span></dt><dd>+proj=laea +lon_0=0 +datum=WGS84 +ellps=WGS84 +lat_0=90.0</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ice_conc</span></div><div class='xr-var-dims'>(time, yc, xc)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-6f4dadde-462d-4c44-97b8-c8dd564aaa29' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f4dadde-462d-4c44-97b8-c8dd564aaa29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-988663c0-7f69-4b8a-9de2-72c34d340646' class='xr-var-data-in' type='checkbox'><label for='data-988663c0-7f69-4b8a-9de2-72c34d340646' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>fully filtered concentration of sea ice using atmospheric correction of brightness temperatures and open water filters</dd><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>grid_mapping :</span></dt><dd>Lambert_Azimuthal_Grid</dd><dt><span>ancillary_variables :</span></dt><dd>total_standard_uncertainty status_flag</dd><dt><span>comment :</span></dt><dd>this field is the primary sea ice concentration estimate for this climate data record</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "          44.866753,   45.      ]], shape=(432, 432), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-59b2a901-b55b-4bbb-94f4-a04a36c134b4' class='xr-section-summary-in' type='checkbox' checked /><label for='section-59b2a901-b55b-4bbb-94f4-a04a36c134b4' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Lambert_Azimuthal_Grid</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>-2147483647</div><input id='attrs-0e91d1a8-8071-462d-be5d-15c3d96dc5a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e91d1a8-8071-462d-be5d-15c3d96dc5a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eab08e04-9912-422b-9152-ccc1c0c452a7' class='xr-var-data-in' type='checkbox'><label for='data-eab08e04-9912-422b-9152-ccc1c0c452a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping_name :</span></dt><dd>lambert_azimuthal_equal_area</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>90.0</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>proj4_string :</span></dt><dd>+proj=laea +lon_0=0 +datum=WGS84 +ellps=WGS84 +lat_0=90.0</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ice_conc</span></div><div class='xr-var-dims'>(time, yc, xc)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-9dfff8b1-db78-4c4e-8620-7a67075199e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9dfff8b1-db78-4c4e-8620-7a67075199e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e9c3ced-f1f0-432d-9acc-f7132369b3c8' class='xr-var-data-in' type='checkbox'><label for='data-8e9c3ced-f1f0-432d-9acc-f7132369b3c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>fully filtered concentration of sea ice using atmospheric correction of brightness temperatures and open water filters</dd><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>grid_mapping :</span></dt><dd>Lambert_Azimuthal_Grid</dd><dt><span>ancillary_variables :</span></dt><dd>total_standard_uncertainty status_flag</dd><dt><span>comment :</span></dt><dd>this field is the primary sea ice concentration estimate for this climate data record</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "        ...,\n",
        "        [ 0.,  0.,  0., ..., nan, nan, nan],\n",
        "        [ 0.,  0.,  0., ..., nan, nan, nan],\n",
-       "        [ 0.,  0.,  0., ..., nan, nan, nan]]], shape=(1, 432, 432))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>raw_ice_conc_values</span></div><div class='xr-var-dims'>(time, yc, xc)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-26512b02-d34e-4e84-88ea-a3fcdb9b4b00' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-26512b02-d34e-4e84-88ea-a3fcdb9b4b00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84394585-1127-45c3-a625-1ffebff80e37' class='xr-var-data-in' type='checkbox'><label for='data-84394585-1127-45c3-a625-1ffebff80e37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea ice concentration estimates as retrieved by the algorithm, and that were edited away by the various filters</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>grid_mapping :</span></dt><dd>Lambert_Azimuthal_Grid</dd><dt><span>comment :</span></dt><dd>this field can be used in combination with &#x27;ice_conc&#x27; to access un-bounded normal distribution of sea ice concentration estimates corresponding to the uncertainty estimate in &#x27;total_standard_uncertainty&#x27;. It does also feature some amount of un-physical data (below 0% and above 100%).</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
+       "        [ 0.,  0.,  0., ..., nan, nan, nan]]], shape=(1, 432, 432))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>raw_ice_conc_values</span></div><div class='xr-var-dims'>(time, yc, xc)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-1505587a-0799-4d78-975b-939cddf7be21' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1505587a-0799-4d78-975b-939cddf7be21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce72a60a-acd5-4c43-bd97-d5a9e26ef018' class='xr-var-data-in' type='checkbox'><label for='data-ce72a60a-acd5-4c43-bd97-d5a9e26ef018' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea ice concentration estimates as retrieved by the algorithm, and that were edited away by the various filters</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>grid_mapping :</span></dt><dd>Lambert_Azimuthal_Grid</dd><dt><span>comment :</span></dt><dd>this field can be used in combination with &#x27;ice_conc&#x27; to access un-bounded normal distribution of sea ice concentration estimates corresponding to the uncertainty estimate in &#x27;total_standard_uncertainty&#x27;. It does also feature some amount of un-physical data (below 0% and above 100%).</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
        "        [nan, nan, nan, ..., nan, nan, nan],\n",
        "        [nan, nan, nan, ..., nan, nan, nan],\n",
        "        ...,\n",
        "        [nan, nan, nan, ..., nan, nan, nan],\n",
        "        [nan, nan, nan, ..., nan, nan, nan],\n",
-       "        [nan, nan, nan, ..., nan, nan, nan]]], shape=(1, 432, 432))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>status_flag</span></div><div class='xr-var-dims'>(time, yc, xc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>128.0 128.0 128.0 ... 1.0 1.0 1.0</div><input id='attrs-0cecd669-3082-4cc4-8491-8c14e28d86c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0cecd669-3082-4cc4-8491-8c14e28d86c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05e6e62f-2204-4ad2-81ea-d7f6152d73ac' class='xr-var-data-in' type='checkbox'><label for='data-05e6e62f-2204-4ad2-81ea-d7f6152d73ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>status flag bit array for sea ice concentration retrievals</dd><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction status_flag</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>32767</dd><dt><span>grid_mapping :</span></dt><dd>Lambert_Azimuthal_Grid</dd><dt><span>flag_masks :</span></dt><dd>[  1   2   4   8  16  32  64 128]</dd><dt><span>flag_meanings :</span></dt><dd>land lake open_water_filtered land_spill_over high_t2m spatial_interp temporal_interp max_ice_climo</dd><dt><span>flag_descriptions :</span></dt><dd>\n",
+       "        [nan, nan, nan, ..., nan, nan, nan]]], shape=(1, 432, 432))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>status_flag</span></div><div class='xr-var-dims'>(time, yc, xc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>128.0 128.0 128.0 ... 1.0 1.0 1.0</div><input id='attrs-b2db253a-7ce9-440c-94c5-a382031963d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2db253a-7ce9-440c-94c5-a382031963d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4df61fb2-d152-45a2-bc10-48c72e56f163' class='xr-var-data-in' type='checkbox'><label for='data-4df61fb2-d152-45a2-bc10-48c72e56f163' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>status flag bit array for sea ice concentration retrievals</dd><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction status_flag</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>32767</dd><dt><span>grid_mapping :</span></dt><dd>Lambert_Azimuthal_Grid</dd><dt><span>flag_masks :</span></dt><dd>[  1   2   4   8  16  32  64 128]</dd><dt><span>flag_meanings :</span></dt><dd>land lake open_water_filtered land_spill_over high_t2m spatial_interp temporal_interp max_ice_climo</dd><dt><span>flag_descriptions :</span></dt><dd>\n",
        "all bits to 0 (flag 0): Nominal retrieval by the SIC algorithm\n",
        "bit 1 (flag 1): Position is over land\n",
        "bit 2 (flag 2): Position is lake\n",
@@ -735,7 +742,7 @@
        "        [128., 128., 128., ...,   1.,   1.,   1.],\n",
        "        [128., 128., 128., ...,   1.,   1.,   1.],\n",
        "        [128., 128., 128., ...,   1.,   1.,   1.]]],\n",
-       "      shape=(1, 432, 432), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nv)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.328e+09 1.331e+09</div><input id='attrs-ef933b09-8eb2-4166-a089-7c4181c576b7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ef933b09-8eb2-4166-a089-7c4181c576b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f760137-9d51-44f6-a627-8685c2571ff1' class='xr-var-data-in' type='checkbox'><label for='data-9f760137-9d51-44f6-a627-8685c2571ff1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.3280544e+09, 1.3305600e+09]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0cf6b284-4ccf-4146-bdec-60ce8a9ea69b' class='xr-section-summary-in' type='checkbox' checked /><label for='section-0cf6b284-4ccf-4146-bdec-60ce8a9ea69b' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(43)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>Monthly Sea Ice Concentration Climate Data Record Version 3 (SMMR, SSM/I, and SSMIS) from the EUMETSAT OSI SAF</dd><dt><span>summary :</span></dt><dd>This climate data record of sea ice concentration is obtained from coarse resolution passive microwave satellite data (SMMR, SSM/I, and SSMIS) over the polar regions (Arctic and Antarctic). The processing chain features: 1) dynamic tuning of tie-points and algorithms,  2) correction of atmospheric noise using a Radiative Transfer Model,  3) computation of per-pixel uncertainties, and 4) an optimal hybrid sea ice concentration algorithm. This dataset was generated by the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF). The ESA CCI Programme contributed with Research and Development on the algorithms.</dd><dt><span>topiccategory :</span></dt><dd>Oceans ClimatologyMeteorologyAtmosphere</dd><dt><span>geospatial_lat_min :</span></dt><dd>16.62393</dd><dt><span>geospatial_lat_max :</span></dt><dd>90.0</dd><dt><span>geospatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>180.0</dd><dt><span>geospatial_vertical_min :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_max :</span></dt><dd>0.0</dd><dt><span>sensor :</span></dt><dd>SMMR,SSM/I,SSMIS</dd><dt><span>platform :</span></dt><dd>Nimbus-7,DMSP-F&lt;08,10,11,13,14,15&gt;,DMSP-F&lt;16,17,18&gt;</dd><dt><span>time_coverage_start :</span></dt><dd>2020-02-01T00:00:00Z</dd><dt><span>time_coverage_end :</span></dt><dd>2020-03-01T00:00:00Z</dd><dt><span>time_coverage_duration :</span></dt><dd>P1M</dd><dt><span>time_coverage_resolution :</span></dt><dd>P1M</dd><dt><span>project :</span></dt><dd>OSI SAF - EUMETSAT</dd><dt><span>institution :</span></dt><dd>OSISAF - EUMETSAT</dd><dt><span>creator_name :</span></dt><dd>OSISAF - EUMETSAT</dd><dt><span>creator_type :</span></dt><dd>institution</dd><dt><span>creator_url :</span></dt><dd>https://osi-saf.eumetsat.int/</dd><dt><span>creator_email :</span></dt><dd>osi-saf.helpdesk@meteo.fr</dd><dt><span>date_created :</span></dt><dd>2023-03-20</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>spatial_resolution :</span></dt><dd>25.0 km grid spacing</dd><dt><span>geospatial_bounds_crs :</span></dt><dd>EPSG:6931</dd><dt><span>tracking_id :</span></dt><dd>537df889-640b-44f8-bb9f-f49d9b281ca1</dd><dt><span>naming_authority :</span></dt><dd>int.eumetsat</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (Version 78, 21 September 2021)</dd><dt><span>product_name :</span></dt><dd>osi_saf_sea_ice_conc_climate_data_record_smmrssmissmis</dd><dt><span>keywords :</span></dt><dd>GCMDSK:Earth Science &gt; Cryosphere &gt; Sea Ice &gt; Sea Ice Concentration, GCMDSK:Earth Science &gt; Oceans &gt; Sea Ice &gt; Sea Ice Concentration, GCMDSK:Earth Science &gt; Climate Indicators &gt; Cryospheric Indicators &gt; Sea Ice Concentration, GCMDLOC:Geographic Region &gt; Northern Hemisphere, GCMDLOC:Vertical Location &gt; Sea Surface, GCMDPROV: Government Agencies-non-US &gt; Norway &gt; NO/MET &gt; Norwegian Meteorological Institute</dd><dt><span>keywords_vocabulary :</span></dt><dd>GCMDSK:GCMD Science Keywords:https://gcmd.earthdata.nasa.gov/kms/concepts/concept_scheme/sciencekeywords, GCMDPROV:GCMD Providers:https://gcmd.earthdata.nasa.gov/kms/concepts/concept_scheme/providers, GCMDLOC:GCMD Locations:https://gcmd.earthdata.nasa.gov/kms/concepts/concept_scheme/locations</dd><dt><span>Conventions :</span></dt><dd>CF-1.7,ACDD-1.3</dd><dt><span>algorithm :</span></dt><dd>SICCI3LF (19V, 37V, 37H)</dd><dt><span>contributor_name :</span></dt><dd>Thomas Lavergne,Atle Soerensen,Rasmus Tonboe,Courtenay Strong,Matilde Kreiner,Roberto Saldo,Anton Birkedal,Fabrizio Baordo,Trygve Aspenes,Steinar Eastwood</dd><dt><span>contributor_role :</span></dt><dd>PrincipalInvestigator,author,author,author,author,author,author,author,author,author</dd><dt><span>source :</span></dt><dd>FCDR of SMMR / SSMI / SSMIS Brightness Temperatures R4 from EUMETSAT Climate Monitoring SAF (doi:10.5676/EUM_SAF_CM/FCDR_MWI/V004), ERA5</dd><dt><span>product_status :</span></dt><dd>released</dd><dt><span>history :</span></dt><dd>2023-03-20T13:57:20Z creation\n",
+       "      shape=(1, 432, 432), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nv)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.328e+09 1.331e+09</div><input id='attrs-d0d1be2e-b229-49c2-ae22-bce2f3d3465a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d0d1be2e-b229-49c2-ae22-bce2f3d3465a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea151b10-368b-4278-9089-014b2e49c393' class='xr-var-data-in' type='checkbox'><label for='data-ea151b10-368b-4278-9089-014b2e49c393' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.3280544e+09, 1.3305600e+09]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c72d1599-d645-4d2f-a33c-83fed530c655' class='xr-section-summary-in' type='checkbox' checked /><label for='section-c72d1599-d645-4d2f-a33c-83fed530c655' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(43)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>Monthly Sea Ice Concentration Climate Data Record Version 3 (SMMR, SSM/I, and SSMIS) from the EUMETSAT OSI SAF</dd><dt><span>summary :</span></dt><dd>This climate data record of sea ice concentration is obtained from coarse resolution passive microwave satellite data (SMMR, SSM/I, and SSMIS) over the polar regions (Arctic and Antarctic). The processing chain features: 1) dynamic tuning of tie-points and algorithms,  2) correction of atmospheric noise using a Radiative Transfer Model,  3) computation of per-pixel uncertainties, and 4) an optimal hybrid sea ice concentration algorithm. This dataset was generated by the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF). The ESA CCI Programme contributed with Research and Development on the algorithms.</dd><dt><span>topiccategory :</span></dt><dd>Oceans ClimatologyMeteorologyAtmosphere</dd><dt><span>geospatial_lat_min :</span></dt><dd>16.62393</dd><dt><span>geospatial_lat_max :</span></dt><dd>90.0</dd><dt><span>geospatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>180.0</dd><dt><span>geospatial_vertical_min :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_max :</span></dt><dd>0.0</dd><dt><span>sensor :</span></dt><dd>SMMR,SSM/I,SSMIS</dd><dt><span>platform :</span></dt><dd>Nimbus-7,DMSP-F&lt;08,10,11,13,14,15&gt;,DMSP-F&lt;16,17,18&gt;</dd><dt><span>time_coverage_start :</span></dt><dd>2020-02-01T00:00:00Z</dd><dt><span>time_coverage_end :</span></dt><dd>2020-03-01T00:00:00Z</dd><dt><span>time_coverage_duration :</span></dt><dd>P1M</dd><dt><span>time_coverage_resolution :</span></dt><dd>P1M</dd><dt><span>project :</span></dt><dd>OSI SAF - EUMETSAT</dd><dt><span>institution :</span></dt><dd>OSISAF - EUMETSAT</dd><dt><span>creator_name :</span></dt><dd>OSISAF - EUMETSAT</dd><dt><span>creator_type :</span></dt><dd>institution</dd><dt><span>creator_url :</span></dt><dd>https://osi-saf.eumetsat.int/</dd><dt><span>creator_email :</span></dt><dd>osi-saf.helpdesk@meteo.fr</dd><dt><span>date_created :</span></dt><dd>2023-03-20</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>spatial_resolution :</span></dt><dd>25.0 km grid spacing</dd><dt><span>geospatial_bounds_crs :</span></dt><dd>EPSG:6931</dd><dt><span>tracking_id :</span></dt><dd>537df889-640b-44f8-bb9f-f49d9b281ca1</dd><dt><span>naming_authority :</span></dt><dd>int.eumetsat</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (Version 78, 21 September 2021)</dd><dt><span>product_name :</span></dt><dd>osi_saf_sea_ice_conc_climate_data_record_smmrssmissmis</dd><dt><span>keywords :</span></dt><dd>GCMDSK:Earth Science &gt; Cryosphere &gt; Sea Ice &gt; Sea Ice Concentration, GCMDSK:Earth Science &gt; Oceans &gt; Sea Ice &gt; Sea Ice Concentration, GCMDSK:Earth Science &gt; Climate Indicators &gt; Cryospheric Indicators &gt; Sea Ice Concentration, GCMDLOC:Geographic Region &gt; Northern Hemisphere, GCMDLOC:Vertical Location &gt; Sea Surface, GCMDPROV: Government Agencies-non-US &gt; Norway &gt; NO/MET &gt; Norwegian Meteorological Institute</dd><dt><span>keywords_vocabulary :</span></dt><dd>GCMDSK:GCMD Science Keywords:https://gcmd.earthdata.nasa.gov/kms/concepts/concept_scheme/sciencekeywords, GCMDPROV:GCMD Providers:https://gcmd.earthdata.nasa.gov/kms/concepts/concept_scheme/providers, GCMDLOC:GCMD Locations:https://gcmd.earthdata.nasa.gov/kms/concepts/concept_scheme/locations</dd><dt><span>Conventions :</span></dt><dd>CF-1.7,ACDD-1.3</dd><dt><span>algorithm :</span></dt><dd>SICCI3LF (19V, 37V, 37H)</dd><dt><span>contributor_name :</span></dt><dd>Thomas Lavergne,Atle Soerensen,Rasmus Tonboe,Courtenay Strong,Matilde Kreiner,Roberto Saldo,Anton Birkedal,Fabrizio Baordo,Trygve Aspenes,Steinar Eastwood</dd><dt><span>contributor_role :</span></dt><dd>PrincipalInvestigator,author,author,author,author,author,author,author,author,author</dd><dt><span>source :</span></dt><dd>FCDR of SMMR / SSMI / SSMIS Brightness Temperatures R4 from EUMETSAT Climate Monitoring SAF (doi:10.5676/EUM_SAF_CM/FCDR_MWI/V004), ERA5</dd><dt><span>product_status :</span></dt><dd>released</dd><dt><span>history :</span></dt><dd>2023-03-20T13:57:20Z creation\n",
        "2025-02-17T11:05:00Z assign new DOI and version number 3.1</dd><dt><span>product_version :</span></dt><dd>3.1</dd><dt><span>product_id :</span></dt><dd>osi-450-a1</dd><dt><span>doi :</span></dt><dd>10.15770/EUM_SAF_OSI_0023</dd><dt><span>references :</span></dt><dd>Product User Manual (2025),Algorithm Theoretical Basis Document (2025),Validation Report (2025),https://osi-saf.eumetsat.int/products/osi-450-a1</dd><dt><span>license :</span></dt><dd>http://creativecommons.org/licenses/by/4.0/</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
@@ -824,10 +831,10 @@
    "id": "5edce0e9",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T00:55:39.160668Z",
-     "iopub.status.busy": "2026-05-30T00:55:39.160578Z",
-     "iopub.status.idle": "2026-05-30T00:55:39.201664Z",
-     "shell.execute_reply": "2026-05-30T00:55:39.201192Z"
+     "iopub.execute_input": "2026-05-31T18:50:03.812925Z",
+     "iopub.status.busy": "2026-05-31T18:50:03.812750Z",
+     "iopub.status.idle": "2026-05-31T18:50:03.856864Z",
+     "shell.execute_reply": "2026-05-31T18:50:03.856249Z"
     }
    },
    "outputs": [
@@ -841,7 +848,7 @@
     }
    ],
    "source": [
-    "run_dir = Path(\"output\") / \"06_non_lat_lon_sea_ice_concentration\"\n",
+    "run_dir = Path(\"output\") / \"07_non_lat_lon_sea_ice_concentration\"\n",
     "if run_dir.exists():\n",
     "    shutil.rmtree(run_dir)\n",
     "output_dir = run_dir / \"cmor_output\"\n",
@@ -943,10 +950,10 @@
    "id": "b7ca0a5a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T00:55:39.202900Z",
-     "iopub.status.busy": "2026-05-30T00:55:39.202817Z",
-     "iopub.status.idle": "2026-05-30T00:55:39.431113Z",
-     "shell.execute_reply": "2026-05-30T00:55:39.430721Z"
+     "iopub.execute_input": "2026-05-31T18:50:03.859155Z",
+     "iopub.status.busy": "2026-05-31T18:50:03.859033Z",
+     "iopub.status.idle": "2026-05-31T18:50:04.127645Z",
+     "shell.execute_reply": "2026-05-31T18:50:04.127078Z"
     }
    },
    "outputs": [
@@ -954,8 +961,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "nh output/06_non_lat_lon_sea_ice_concentration/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/nh/mon/siconc/tavg-u-hxy-u/g999/v20260529/siconc_tavg-u-hxy-u_mon_nh_g999_DUMMY-MODEL_amip_r9i1p1f3_202002-202002.nc\n",
-      "sh output/06_non_lat_lon_sea_ice_concentration/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/sh/mon/siconc/tavg-u-hxy-u/g999/v20260529/siconc_tavg-u-hxy-u_mon_sh_g999_DUMMY-MODEL_amip_r9i1p1f3_202002-202002.nc\n"
+      "nh output/07_non_lat_lon_sea_ice_concentration/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/nh/mon/siconc/tavg-u-hxy-u/g999/v20260531/siconc_tavg-u-hxy-u_mon_nh_g999_DUMMY-MODEL_amip_r9i1p1f3_202002-202002.nc\n",
+      "sh output/07_non_lat_lon_sea_ice_concentration/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/sh/mon/siconc/tavg-u-hxy-u/g999/v20260531/siconc_tavg-u-hxy-u_mon_sh_g999_DUMMY-MODEL_amip_r9i1p1f3_202002-202002.nc\n"
      ]
     }
    ],
@@ -1025,10 +1032,10 @@
    "id": "c016fff2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T00:55:39.432457Z",
-     "iopub.status.busy": "2026-05-30T00:55:39.432366Z",
-     "iopub.status.idle": "2026-05-30T00:55:39.465812Z",
-     "shell.execute_reply": "2026-05-30T00:55:39.465498Z"
+     "iopub.execute_input": "2026-05-31T18:50:04.129045Z",
+     "iopub.status.busy": "2026-05-31T18:50:04.128948Z",
+     "iopub.status.idle": "2026-05-31T18:50:04.167031Z",
+     "shell.execute_reply": "2026-05-31T18:50:04.166654Z"
     }
    },
    "outputs": [
@@ -1598,7 +1605,7 @@
        "    area_label:            u\n",
        "    branded_variable:      siconc_tavg-u-hxy-u\n",
        "    branding_suffix:       tavg-u-hxy-u\n",
-       "    creation_date:         2026-05-30T00:55:39Z\n",
+       "    creation_date:         2026-05-31T18:50:03Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -1607,7 +1614,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-30T00:55:39Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-05-31T18:50:03Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1626,14 +1633,14 @@
        "    table_info:            Name: CMIP7_seaIce.json; Creation Date:(2026-04-21...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/11788684-de67-4100-96fa-552d30a9cdc2\n",
+       "    tracking_id:           hdl:21.14107/a734bbcb-ddc2-49f0-843e-7cb1214ee577\n",
        "    variable_id:           siconc\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0f5f5a54-b419-4fca-ae49-de6ddb0c818e' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-0f5f5a54-b419-4fca-ae49-de6ddb0c818e' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>x</span>: 432</li><li><span class='xr-has-index'>y</span>: 432</li><li><span>vertices</span>: 4</li></ul></div></li><li class='xr-section-item'><input id='section-88d8a019-282d-4fa5-a8c3-9428838fcc9e' class='xr-section-summary-in' type='checkbox' checked /><label for='section-88d8a019-282d-4fa5-a8c3-9428838fcc9e' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.539e+04</div><input id='attrs-b6a4b50d-bfab-4aa0-91c7-40122530b28a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b6a4b50d-bfab-4aa0-91c7-40122530b28a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2fa832ec-00c7-4607-b766-f3496d2b5754' class='xr-var-data-in' type='checkbox'><label for='data-2fa832ec-00c7-4607-b766-f3496d2b5754' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1978-01-01</dd><dt><span>calendar :</span></dt><dd>standard</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15385.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.388e+06 -5.362e+06 ... 5.388e+06</div><input id='attrs-6bbecaf8-d8e7-4c8f-aa4b-393824769258' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6bbecaf8-d8e7-4c8f-aa4b-393824769258' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f63b3ebd-d0d2-4443-b0af-2d61bc121211' class='xr-var-data-in' type='checkbox'><label for='data-f63b3ebd-d0d2-4443-b0af-2d61bc121211' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-5387500., -5362500., -5337500., ...,  5337500.,  5362500.,  5387500.],\n",
-       "      shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.388e+06 -5.362e+06 ... 5.388e+06</div><input id='attrs-b1950794-9c7c-482b-8d98-d358f58e188c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1950794-9c7c-482b-8d98-d358f58e188c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa230afb-44e6-4dbe-8364-25988023240c' class='xr-var-data-in' type='checkbox'><label for='data-aa230afb-44e6-4dbe-8364-25988023240c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-5387500., -5362500., -5337500., ...,  5337500.,  5362500.,  5387500.],\n",
-       "      shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.62 16.82 17.02 ... 16.82 16.62</div><input id='attrs-f9fe5c08-5eeb-43e6-878a-1817bcde9a89' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9fe5c08-5eeb-43e6-878a-1817bcde9a89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fbf5e0a-9de7-4f07-ba1a-8e717bf553b9' class='xr-var-data-in' type='checkbox'><label for='data-1fbf5e0a-9de7-4f07-ba1a-8e717bf553b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>bounds :</span></dt><dd>vertices_latitude</dd></dl></div><div class='xr-var-data'><pre>array([[16.62392616, 16.82265472, 17.02065849, ..., 17.02065849,\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b282b0c9-5313-420c-80c9-65757f0c18aa' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-b282b0c9-5313-420c-80c9-65757f0c18aa' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>x</span>: 432</li><li><span class='xr-has-index'>y</span>: 432</li><li><span>vertices</span>: 4</li></ul></div></li><li class='xr-section-item'><input id='section-3be52f9a-4208-4899-a15e-330619ed202f' class='xr-section-summary-in' type='checkbox' checked /><label for='section-3be52f9a-4208-4899-a15e-330619ed202f' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.539e+04</div><input id='attrs-74ce0fae-9bfe-4fd5-8ec0-259cb907fd90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74ce0fae-9bfe-4fd5-8ec0-259cb907fd90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d16d478c-856a-4608-a528-3d5e0216d885' class='xr-var-data-in' type='checkbox'><label for='data-d16d478c-856a-4608-a528-3d5e0216d885' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1978-01-01</dd><dt><span>calendar :</span></dt><dd>standard</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15385.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.388e+06 -5.362e+06 ... 5.388e+06</div><input id='attrs-9056b704-d73d-439a-97a3-a686ac251bf1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9056b704-d73d-439a-97a3-a686ac251bf1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7538f18d-770f-48b8-aaea-d0353c6dfef2' class='xr-var-data-in' type='checkbox'><label for='data-7538f18d-770f-48b8-aaea-d0353c6dfef2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-5387500., -5362500., -5337500., ...,  5337500.,  5362500.,  5387500.],\n",
+       "      shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.388e+06 -5.362e+06 ... 5.388e+06</div><input id='attrs-49bcc603-d5a8-47c3-905e-46a258ad464f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49bcc603-d5a8-47c3-905e-46a258ad464f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f87d97ad-c7b1-4075-b5be-429c0a4946db' class='xr-var-data-in' type='checkbox'><label for='data-f87d97ad-c7b1-4075-b5be-429c0a4946db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-5387500., -5362500., -5337500., ...,  5337500.,  5362500.,  5387500.],\n",
+       "      shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.62 16.82 17.02 ... 16.82 16.62</div><input id='attrs-6674516d-408c-4b4a-8d43-335ffb711267' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6674516d-408c-4b4a-8d43-335ffb711267' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10c3f022-bee8-4598-9cf7-24e31effa802' class='xr-var-data-in' type='checkbox'><label for='data-10c3f022-bee8-4598-9cf7-24e31effa802' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>bounds :</span></dt><dd>vertices_latitude</dd></dl></div><div class='xr-var-data'><pre>array([[16.62392616, 16.82265472, 17.02065849, ..., 17.02065849,\n",
        "        16.82265472, 16.62392616],\n",
        "       [16.82265472, 17.02158356, 17.21979523, ..., 17.21979523,\n",
        "        17.02158356, 16.82265472],\n",
@@ -1645,7 +1652,7 @@
        "       [16.82265472, 17.02158356, 17.21979523, ..., 17.21979523,\n",
        "        17.02158356, 16.82265472],\n",
        "       [16.62392616, 16.82265472, 17.02065849, ..., 17.02065849,\n",
-       "        16.82265472, 16.62392616]], shape=(432, 432))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>315.0 314.9 314.7 ... 134.9 135.0</div><input id='attrs-bc190b76-53d9-4a84-852b-771e9fc080d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc190b76-53d9-4a84-852b-771e9fc080d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e583347d-afed-42db-9da3-fb2f64ad4c94' class='xr-var-data-in' type='checkbox'><label for='data-e583347d-afed-42db-9da3-fb2f64ad4c94' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>bounds :</span></dt><dd>vertices_longitude</dd></dl></div><div class='xr-var-data'><pre>array([[315.        , 314.86676025, 314.73287964, ..., 225.2671051 ,\n",
+       "        16.82265472, 16.62392616]], shape=(432, 432))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>315.0 314.9 314.7 ... 134.9 135.0</div><input id='attrs-d07108f9-dbc9-40c3-b406-8fce19a5c4aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d07108f9-dbc9-40c3-b406-8fce19a5c4aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3bfb9fe-27a3-4c35-8c36-06f5a118f769' class='xr-var-data-in' type='checkbox'><label for='data-c3bfb9fe-27a3-4c35-8c36-06f5a118f769' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>bounds :</span></dt><dd>vertices_longitude</dd></dl></div><div class='xr-var-data'><pre>array([[315.        , 314.86676025, 314.73287964, ..., 225.2671051 ,\n",
        "        225.13323975, 225.        ],\n",
        "       [315.13323975, 315.        , 314.86611938, ..., 225.13386536,\n",
        "        225.        , 224.86676025],\n",
@@ -1657,7 +1664,7 @@
        "       [ 44.86675262,  45.        ,  45.13386917, ..., 134.86613464,\n",
        "        135.        , 135.13323975],\n",
        "       [ 45.        ,  45.13324738,  45.26711273, ..., 134.7328949 ,\n",
-       "        134.86676025, 135.        ]], shape=(432, 432))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c0c9ceee-bd5b-49c6-b68d-3297c5983307' class='xr-section-summary-in' type='checkbox' checked /><label for='section-c0c9ceee-bd5b-49c6-b68d-3297c5983307' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.537e+04 1.54e+04</div><input id='attrs-72c7a212-ac17-4744-9c37-d78320a06b97' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-72c7a212-ac17-4744-9c37-d78320a06b97' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15338de9-5174-4530-b4d1-f4da16543003' class='xr-var-data-in' type='checkbox'><label for='data-15338de9-5174-4530-b4d1-f4da16543003' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[15371., 15400.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>-2147483647</div><input id='attrs-4af990c8-feaf-4d57-9ae6-1e50919d4a16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4af990c8-feaf-4d57-9ae6-1e50919d4a16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1ade03c-548f-43d5-98a8-501b6aa03947' class='xr-var-data-in' type='checkbox'><label for='data-a1ade03c-548f-43d5-98a8-501b6aa03947' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping_name :</span></dt><dd>lambert_azimuthal_equal_area</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>90.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_latitude</span></div><div class='xr-var-dims'>(x, y, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.42 16.62 16.82 ... 16.42 16.62</div><input id='attrs-8df919bb-8051-46d3-983d-0e2fe8491076' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8df919bb-8051-46d3-983d-0e2fe8491076' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6a72ea1-295d-4d4b-afce-175ca99deea4' class='xr-var-data-in' type='checkbox'><label for='data-a6a72ea1-295d-4d4b-afce-175ca99deea4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[[16.42470792, 16.62369573, 16.822885  , 16.62369573],\n",
+       "        134.86676025, 135.        ]], shape=(432, 432))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3109b25d-e4ac-4c3d-8de0-9c3bc6f89795' class='xr-section-summary-in' type='checkbox' checked /><label for='section-3109b25d-e4ac-4c3d-8de0-9c3bc6f89795' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.537e+04 1.54e+04</div><input id='attrs-219c5938-3a72-4b5d-a2aa-4229ce4f8acc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-219c5938-3a72-4b5d-a2aa-4229ce4f8acc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c36d04a-0e24-42d1-9ece-990519800f70' class='xr-var-data-in' type='checkbox'><label for='data-6c36d04a-0e24-42d1-9ece-990519800f70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[15371., 15400.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>-2147483647</div><input id='attrs-cdb4b3e2-6137-4e54-bd8b-4fb35474f123' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cdb4b3e2-6137-4e54-bd8b-4fb35474f123' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b854a3c5-3858-472b-9680-4f4f88d539f6' class='xr-var-data-in' type='checkbox'><label for='data-b854a3c5-3858-472b-9680-4f4f88d539f6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping_name :</span></dt><dd>lambert_azimuthal_equal_area</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>90.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_latitude</span></div><div class='xr-var-dims'>(x, y, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.42 16.62 16.82 ... 16.42 16.62</div><input id='attrs-31a33c59-a1fa-4bef-9288-6ebece8da15b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31a33c59-a1fa-4bef-9288-6ebece8da15b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a78a674d-f073-4a7f-aaae-630533b55cba' class='xr-var-data-in' type='checkbox'><label for='data-a78a674d-f073-4a7f-aaae-630533b55cba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[[16.42470792, 16.62369573, 16.822885  , 16.62369573],\n",
        "        [16.822885  , 17.02135298, 17.22002648, 17.02135298],\n",
        "        [17.22002648, 17.41798082, 17.61614471, 17.41798082],\n",
        "        ...,\n",
@@ -1697,7 +1704,7 @@
        "        [17.61614471, 17.41798082, 17.22002648, 17.41798082],\n",
        "        [17.22002648, 17.02135298, 16.822885  , 17.02135298],\n",
        "        [16.822885  , 16.62369573, 16.42470792, 16.62369573]]],\n",
-       "      shape=(432, 432, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_longitude</span></div><div class='xr-var-dims'>(x, y, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>315.0 315.1 315.0 ... 135.0 135.1</div><input id='attrs-b042dd10-4bd9-498a-bcde-966d1a55d757' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b042dd10-4bd9-498a-bcde-966d1a55d757' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19674f50-56d0-4b60-b318-c3ae8f278ec0' class='xr-var-data-in' type='checkbox'><label for='data-19674f50-56d0-4b60-b318-c3ae8f278ec0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[[315.        , 315.1329366 , 315.        , 314.8670634 ],\n",
+       "      shape=(432, 432, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_longitude</span></div><div class='xr-var-dims'>(x, y, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>315.0 315.1 315.0 ... 135.0 135.1</div><input id='attrs-14eb0a5b-3c4c-4f3f-8a0f-3b2784083dbb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14eb0a5b-3c4c-4f3f-8a0f-3b2784083dbb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a672ee8-b510-4038-ba98-3e51d42b5281' class='xr-var-data-in' type='checkbox'><label for='data-6a672ee8-b510-4038-ba98-3e51d42b5281' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[[315.        , 315.1329366 , 315.        , 314.8670634 ],\n",
        "        [315.        , 315.1329366 , 315.        , 314.8670634 ],\n",
        "        [315.        , 315.1329366 , 315.        , 314.8670634 ],\n",
        "        ...,\n",
@@ -1737,14 +1744,14 @@
        "        [135.        , 134.8670634 , 135.        , 135.1329366 ],\n",
        "        [135.        , 134.8670634 , 135.        , 135.1329366 ],\n",
        "        [135.        , 134.8670634 , 135.        , 135.1329366 ]]],\n",
-       "      shape=(432, 432, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>siconc</span></div><div class='xr-var-dims'>(time, x, y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-19bd2509-6887-4602-bbc6-dac2a46c924c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-19bd2509-6887-4602-bbc6-dac2a46c924c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c1ca4dc-f483-4deb-ba6d-4a202a9c90ba' class='xr-var-data-in' type='checkbox'><label for='data-3c1ca4dc-f483-4deb-ba6d-4a202a9c90ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction</dd><dt><span>long_name :</span></dt><dd>Sea-Ice Area Percentage (Ocean Grid)</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "      shape=(432, 432, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>siconc</span></div><div class='xr-var-dims'>(time, x, y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-1bfd2c66-b4c0-4c80-b733-f03b54f35e89' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1bfd2c66-b4c0-4c80-b733-f03b54f35e89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b390af3c-417e-4f56-ab5a-4b2fdab397db' class='xr-var-data-in' type='checkbox'><label for='data-b390af3c-417e-4f56-ab5a-4b2fdab397db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction</dd><dt><span>long_name :</span></dt><dd>Sea-Ice Area Percentage (Ocean Grid)</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "        ...,\n",
        "        [nan, nan, nan, ...,  0.,  0.,  0.],\n",
        "        [nan, nan, nan, ...,  0.,  0.,  0.],\n",
        "        [nan, nan, nan, ...,  0.,  0.,  0.]]],\n",
-       "      shape=(1, 432, 432), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-db6563d4-498a-4074-b23e-9e63e1c5ee3d' class='xr-section-summary-in' type='checkbox' checked /><label for='section-db6563d4-498a-4074-b23e-9e63e1c5ee3d' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(39)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>siconc_tavg-u-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-30T00:55:39Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-30T00:55:39Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>25 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>seaIce</dd><dt><span>region :</span></dt><dd>nh</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_seaIce.json; Creation Date:(2026-04-21 15:01:29) MD5:ac55986d4e9ece44a638ff080fdd9ada</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/11788684-de67-4100-96fa-552d30a9cdc2</dd><dt><span>variable_id :</span></dt><dd>siconc</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+       "      shape=(1, 432, 432), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6a95e5d4-011e-4284-8c07-0c4f3664217a' class='xr-section-summary-in' type='checkbox' checked /><label for='section-6a95e5d4-011e-4284-8c07-0c4f3664217a' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(39)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>siconc_tavg-u-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-31T18:50:03Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-31T18:50:03Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>25 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>seaIce</dd><dt><span>region :</span></dt><dd>nh</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_seaIce.json; Creation Date:(2026-04-21 15:01:29) MD5:ac55986d4e9ece44a638ff080fdd9ada</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/a734bbcb-ddc2-49f0-843e-7cb1214ee577</dd><dt><span>variable_id :</span></dt><dd>siconc</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 16MB\n",
@@ -1768,7 +1775,7 @@
        "    area_label:            u\n",
        "    branded_variable:      siconc_tavg-u-hxy-u\n",
        "    branding_suffix:       tavg-u-hxy-u\n",
-       "    creation_date:         2026-05-30T00:55:39Z\n",
+       "    creation_date:         2026-05-31T18:50:03Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -1777,7 +1784,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-30T00:55:39Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-05-31T18:50:03Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1796,7 +1803,7 @@
        "    table_info:            Name: CMIP7_seaIce.json; Creation Date:(2026-04-21...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/11788684-de67-4100-96fa-552d30a9cdc2\n",
+       "    tracking_id:           hdl:21.14107/a734bbcb-ddc2-49f0-843e-7cb1214ee577\n",
        "    variable_id:           siconc\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
@@ -1828,10 +1835,10 @@
    "id": "8cf16c62",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T00:55:39.467396Z",
-     "iopub.status.busy": "2026-05-30T00:55:39.467302Z",
-     "iopub.status.idle": "2026-05-30T00:55:40.228079Z",
-     "shell.execute_reply": "2026-05-30T00:55:40.227583Z"
+     "iopub.execute_input": "2026-05-31T18:50:04.168849Z",
+     "iopub.status.busy": "2026-05-31T18:50:04.168703Z",
+     "iopub.status.idle": "2026-05-31T18:50:05.043164Z",
+     "shell.execute_reply": "2026-05-31T18:50:05.042597Z"
     }
    },
    "outputs": [
diff --git a/notebooks/README.md b/notebooks/README.md
index f926e7ff..875f0808 100644
--- a/notebooks/README.md
+++ b/notebooks/README.md
@@ -28,4 +28,5 @@ The notebooks write generated NetCDF files under `notebooks/output/`.
 3. [Atmospheric Temperature On Pressure Levels](03_pressure_level_air_temperature.ipynb): writes air temperature (`ta_tavg-p19-hxy-air`) on the CMIP7 19 pressure levels.
 4. [Hybrid Sigma Humidity Tendency With Z-Factors](04_hybrid_sigma_humidity_tendency.ipynb): writes humidity tendency (`tnhusscpbl_tavg-al-hxy-u`) on a hybrid sigma pressure coordinate with CMOR zfactors and surface pressure.
 5. [Ocean Heat Transport By Basin](05_ocean_heat_transport_by_basin.ipynb): writes northward ocean heat transport (`htovgyre_tavg-u-hyb-sea`) using latitude and ocean basin coordinates.
-6. [Sea Ice Concentration On Projected Grids](06_non_lat_lon_sea_ice_concentration.ipynb): writes sea-ice area percentage (`siconc_tavg-u-hxy-u`) on projected Northern and Southern Hemisphere grids.
+6. [Land-Use Fraction](06_land_use_fraction.ipynb): writes land-use fraction (`fracLut_tpt-u-hxy-u`) using time-point, land-use, latitude, and longitude coordinates.
+7. [Sea Ice Concentration On Projected Grids](07_non_lat_lon_sea_ice_concentration.ipynb): writes sea-ice area percentage (`siconc_tavg-u-hxy-u`) on projected Northern and Southern Hemisphere grids.
diff --git a/notebooks/data/fracLut_Emon_GFDL-ESM4_land-noLu_r1i1p1f1_gr1_200702-200711.nc b/notebooks/data/fracLut_Emon_GFDL-ESM4_land-noLu_r1i1p1f1_gr1_200702-200711.nc
new file mode 100644
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literal 0
HcmV?d00001


From be571370f94bc6d9fa697920894af17de1d1c03f Mon Sep 17 00:00:00 2001
From: Chris Mauzey <mauzey1@llnl.gov>
Date: Sun, 31 May 2026 12:08:45 -0700
Subject: [PATCH 23/25] Display month and year of data in notebook
 visualization

---
 .../01_basic_ocean_surface_temperature.ipynb  | 115 ++++++++-------
 .../02_atmos_surface_air_temperature.ipynb    | 111 ++++++++------
 .../03_pressure_level_air_temperature.ipynb   | 111 ++++++++------
 .../04_hybrid_sigma_humidity_tendency.ipynb   | 137 ++++++++++--------
 .../05_ocean_heat_transport_by_basin.ipynb    | 107 ++++++++------
 notebooks/06_land_use_fraction.ipynb          | 109 ++++++++------
 ...07_non_lat_lon_sea_ice_concentration.ipynb | 114 ++++++++-------
 7 files changed, 458 insertions(+), 346 deletions(-)

diff --git a/notebooks/01_basic_ocean_surface_temperature.ipynb b/notebooks/01_basic_ocean_surface_temperature.ipynb
index 3e85ed91..753eaee2 100644
--- a/notebooks/01_basic_ocean_surface_temperature.ipynb
+++ b/notebooks/01_basic_ocean_surface_temperature.ipynb
@@ -14,10 +14,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T17:10:15.500783Z",
-     "iopub.status.busy": "2026-05-30T17:10:15.500698Z",
-     "iopub.status.idle": "2026-05-30T17:10:16.758430Z",
-     "shell.execute_reply": "2026-05-30T17:10:16.758052Z"
+     "iopub.execute_input": "2026-05-31T18:59:15.869286Z",
+     "iopub.status.busy": "2026-05-31T18:59:15.869158Z",
+     "iopub.status.idle": "2026-05-31T18:59:16.811326Z",
+     "shell.execute_reply": "2026-05-31T18:59:16.810896Z"
     }
    },
    "outputs": [
@@ -31,6 +31,7 @@
    ],
    "source": [
     "from pathlib import Path\n",
+    "import calendar\n",
     "import json\n",
     "import shutil\n",
     "\n",
@@ -51,6 +52,21 @@
     "if not DATA_PATH.exists():\n",
     "    raise FileNotFoundError(f\"Source data file not found: {DATA_PATH}\")\n",
     "\n",
+    "\n",
+    "\n",
+    "def month_year_label(time_coord):\n",
+    "    decoded_time = xr.coding.times.decode_cf_datetime(\n",
+    "        time_coord.values[:1],\n",
+    "        time_coord.attrs[\"units\"],\n",
+    "        calendar=time_coord.attrs.get(\"calendar\", \"standard\"),\n",
+    "    )[0]\n",
+    "    if hasattr(decoded_time, \"strftime\"):\n",
+    "        return decoded_time.strftime(\"%B %Y\")\n",
+    "    date_text = np.datetime_as_string(decoded_time, unit=\"D\")\n",
+    "    year, month = date_text.split(\"-\")[:2]\n",
+    "    return f\"{calendar.month_name[int(month)]} {year}\"\n",
+    "\n",
+    "\n",
     "print(f\"Using CMIP7 tables from {TABLES_DIR}\")\n"
    ]
   },
@@ -59,10 +75,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T17:10:16.775175Z",
-     "iopub.status.busy": "2026-05-30T17:10:16.774999Z",
-     "iopub.status.idle": "2026-05-30T17:10:17.107037Z",
-     "shell.execute_reply": "2026-05-30T17:10:17.106691Z"
+     "iopub.execute_input": "2026-05-31T18:59:16.830684Z",
+     "iopub.status.busy": "2026-05-31T18:59:16.830492Z",
+     "iopub.status.idle": "2026-05-31T18:59:16.976294Z",
+     "shell.execute_reply": "2026-05-31T18:59:16.975751Z"
     }
    },
    "outputs": [
@@ -654,8 +670,8 @@
        "    parent_experiment:      N/A\n",
        "    modeling_realm:         ocean\n",
        "    realization:            5\n",
-       "    cmor_version:           2.5.4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-883229e0-238b-4237-95f8-e265fa94fd81' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-883229e0-238b-4237-95f8-e265fa94fd81' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 192</li><li><span class='xr-has-index'>lon</span>: 256</li></ul></div></li><li class='xr-section-item'><input id='section-61bb6139-279f-43d7-92a7-cab4ab660057' class='xr-section-summary-in' type='checkbox' checked /><label for='section-61bb6139-279f-43d7-92a7-cab4ab660057' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.856e+04 4.859e+04 ... 4.883e+04</div><input id='attrs-dd7e2c95-7ac0-4194-a96b-378f0727fa65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd7e2c95-7ac0-4194-a96b-378f0727fa65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39887b91-d9ae-471f-b586-0ca513deff94' class='xr-var-data-in' type='checkbox'><label for='data-39887b91-d9ae-471f-b586-0ca513deff94' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-1-1</dd><dt><span>calendar :</span></dt><dd>365_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([48560.5, 48590. , 48619.5, 48650. , 48680.5, 48711. , 48741.5, 48772.5,\n",
-       "       48803. , 48833.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.43 -88.29 ... 88.29 89.43</div><input id='attrs-52eff3d0-0dd4-4563-9875-141b15289980' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-52eff3d0-0dd4-4563-9875-141b15289980' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-beecece0-1883-4a2c-9b5e-77270b762bf1' class='xr-var-data-in' type='checkbox'><label for='data-beecece0-1883-4a2c-9b5e-77270b762bf1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.429619, -88.288872, -87.148125, -86.107635, -85.167389, -84.22715 ,\n",
+       "    cmor_version:           2.5.4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a6227ec5-5b67-4bb0-8834-e13a733d4c7f' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-a6227ec5-5b67-4bb0-8834-e13a733d4c7f' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 192</li><li><span class='xr-has-index'>lon</span>: 256</li></ul></div></li><li class='xr-section-item'><input id='section-bde0ec14-5bfd-4415-921d-406de2f31945' class='xr-section-summary-in' type='checkbox' checked /><label for='section-bde0ec14-5bfd-4415-921d-406de2f31945' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.856e+04 4.859e+04 ... 4.883e+04</div><input id='attrs-18c7e85d-e2f1-47d1-a38d-5372641b63eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18c7e85d-e2f1-47d1-a38d-5372641b63eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f435089-8e8a-46af-9d06-6034e190dcd1' class='xr-var-data-in' type='checkbox'><label for='data-7f435089-8e8a-46af-9d06-6034e190dcd1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-1-1</dd><dt><span>calendar :</span></dt><dd>365_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([48560.5, 48590. , 48619.5, 48650. , 48680.5, 48711. , 48741.5, 48772.5,\n",
+       "       48803. , 48833.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.43 -88.29 ... 88.29 89.43</div><input id='attrs-7d35c403-1080-4e48-9ceb-699bdcdcf958' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d35c403-1080-4e48-9ceb-699bdcdcf958' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5b08c65-c0e2-453e-b15c-2217c712e2b5' class='xr-var-data-in' type='checkbox'><label for='data-f5b08c65-c0e2-453e-b15c-2217c712e2b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.429619, -88.288872, -87.148125, -86.107635, -85.167389, -84.22715 ,\n",
        "       -83.290031, -82.356026, -81.42202 , -80.488907, -79.556686, -78.624458,\n",
        "       -77.692612, -76.761139, -75.829674, -74.898399, -73.967316, -73.03624 ,\n",
        "       -72.10527 , -71.174423, -70.243568, -69.31279 , -68.382088, -67.451378,\n",
@@ -686,8 +702,8 @@
        "        67.451378,  68.382088,  69.31279 ,  70.243568,  71.174423,  72.10527 ,\n",
        "        73.03624 ,  73.967316,  74.898399,  75.829674,  76.761139,  77.692612,\n",
        "        78.624458,  79.556686,  80.488907,  81.42202 ,  82.356026,  83.290031,\n",
-       "        84.22715 ,  85.167389,  86.107635,  87.148125,  88.288872,  89.429619])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.7031 2.109 3.516 ... 357.9 359.3</div><input id='attrs-73587563-275b-4f9a-a017-f7fc808bef9a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73587563-275b-4f9a-a017-f7fc808bef9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01f4e568-a9c1-464c-ab2c-5c66541918dc' class='xr-var-data-in' type='checkbox'><label for='data-01f4e568-a9c1-464c-ab2c-5c66541918dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.703125,   2.109375,   3.515625, ..., 356.484375, 357.890625,\n",
-       "       359.296875], shape=(256,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4fa47b43-123e-4cb9-8312-59512bde18e4' class='xr-section-summary-in' type='checkbox' checked /><label for='section-4fa47b43-123e-4cb9-8312-59512bde18e4' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.854e+04 4.858e+04 ... 4.885e+04</div><input id='attrs-2c23055d-652c-40eb-a0be-c49ca328b7ed' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2c23055d-652c-40eb-a0be-c49ca328b7ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-928f38b3-56e1-40f5-b09e-39000ca50bf7' class='xr-var-data-in' type='checkbox'><label for='data-928f38b3-56e1-40f5-b09e-39000ca50bf7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[48545., 48576.],\n",
+       "        84.22715 ,  85.167389,  86.107635,  87.148125,  88.288872,  89.429619])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.7031 2.109 3.516 ... 357.9 359.3</div><input id='attrs-38c0cf94-ca7d-4830-861f-7f03aab89647' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38c0cf94-ca7d-4830-861f-7f03aab89647' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb1139bd-97bb-45bb-8228-87020b3547ba' class='xr-var-data-in' type='checkbox'><label for='data-bb1139bd-97bb-45bb-8228-87020b3547ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.703125,   2.109375,   3.515625, ..., 356.484375, 357.890625,\n",
+       "       359.296875], shape=(256,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a5b05420-051f-43f4-b84a-6de985dfa287' class='xr-section-summary-in' type='checkbox' checked /><label for='section-a5b05420-051f-43f4-b84a-6de985dfa287' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.854e+04 4.858e+04 ... 4.885e+04</div><input id='attrs-b24829f9-68ca-487a-a8c2-86d8675720ea' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b24829f9-68ca-487a-a8c2-86d8675720ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b936bc98-6909-4be8-a4a5-a726bcd68253' class='xr-var-data-in' type='checkbox'><label for='data-b936bc98-6909-4be8-a4a5-a726bcd68253' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[48545., 48576.],\n",
        "       [48576., 48604.],\n",
        "       [48604., 48635.],\n",
        "       [48635., 48665.],\n",
@@ -696,7 +712,7 @@
        "       [48726., 48757.],\n",
        "       [48757., 48788.],\n",
        "       [48788., 48818.],\n",
-       "       [48818., 48849.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.86 -88.86 ... 88.86 90.0</div><input id='attrs-da8b4a7d-3791-4d73-ad46-a5a3b4a52fe4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-da8b4a7d-3791-4d73-ad46-a5a3b4a52fe4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76099e94-3e5f-4649-a202-64fbcf7b2cea' class='xr-var-data-in' type='checkbox'><label for='data-76099e94-3e5f-4649-a202-64fbcf7b2cea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-9.00000000e+01, -8.88592453e+01],\n",
+       "       [48818., 48849.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.86 -88.86 ... 88.86 90.0</div><input id='attrs-3c00c1cf-d5e0-4375-a3c4-6a6c3970a48f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3c00c1cf-d5e0-4375-a3c4-6a6c3970a48f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8655306f-606b-472f-9a27-eda814d43202' class='xr-var-data-in' type='checkbox'><label for='data-8655306f-606b-472f-9a27-eda814d43202' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-9.00000000e+01, -8.88592453e+01],\n",
        "       [-8.88592453e+01, -8.77184982e+01],\n",
        "       [-8.77184982e+01, -8.65777512e+01],\n",
        "       [-8.65777512e+01, -8.56375122e+01],\n",
@@ -736,7 +752,7 @@
        "       [ 8.56375122e+01,  8.65777512e+01],\n",
        "       [ 8.65777512e+01,  8.77184982e+01],\n",
        "       [ 8.77184982e+01,  8.88592453e+01],\n",
-       "       [ 8.88592453e+01,  9.00000000e+01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.406 1.406 ... 358.6 360.0</div><input id='attrs-d6b46120-830d-48c3-8d4e-b83cbaf2233f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d6b46120-830d-48c3-8d4e-b83cbaf2233f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e369d73-4936-418b-9829-20f7f9853a17' class='xr-var-data-in' type='checkbox'><label for='data-2e369d73-4936-418b-9829-20f7f9853a17' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.     ,   1.40625],\n",
+       "       [ 8.88592453e+01,  9.00000000e+01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.406 1.406 ... 358.6 360.0</div><input id='attrs-b5ee763a-c521-46e1-af26-df24319b1b56' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b5ee763a-c521-46e1-af26-df24319b1b56' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35cdeb6e-8281-4149-8284-c91ab5180f4d' class='xr-var-data-in' type='checkbox'><label for='data-35cdeb6e-8281-4149-8284-c91ab5180f4d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.     ,   1.40625],\n",
        "       [  1.40625,   2.8125 ],\n",
        "       [  2.8125 ,   4.21875],\n",
        "       [  4.21875,   5.625  ],\n",
@@ -776,7 +792,7 @@
        "       [354.375  , 355.78125],\n",
        "       [355.78125, 357.1875 ],\n",
        "       [357.1875 , 358.59375],\n",
-       "       [358.59375, 360.     ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 271.2 271.2 271.2</div><input id='attrs-ea72a49b-f86e-4c8b-b325-0d66a11f3eb4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea72a49b-f86e-4c8b-b325-0d66a11f3eb4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-012758cf-6f24-4106-8872-9e4ba092aa8e' class='xr-var-data-in' type='checkbox'><label for='data-012758cf-6f24-4106-8872-9e4ba092aa8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;this may differ from &quot;&quot;surface temperature&quot;&quot; in regions of sea ice.&quot;</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>SST</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 20 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd><dt><span>history :</span></dt><dd>2011-07-13T02:25:29Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_ocean_fx_CanCM4_decadal1982_r0i0p0.nc areacello: areacello_fx_CanCM4_decadal1982_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[[      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "       [358.59375, 360.     ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 271.2 271.2 271.2</div><input id='attrs-dd599041-8ccb-4c0c-bfae-b8b6401c375b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd599041-8ccb-4c0c-bfae-b8b6401c375b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43d8842f-5bfe-4b80-8a6e-6219a9825333' class='xr-var-data-in' type='checkbox'><label for='data-43d8842f-5bfe-4b80-8a6e-6219a9825333' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;this may differ from &quot;&quot;surface temperature&quot;&quot; in regions of sea ice.&quot;</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>SST</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 20 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd><dt><span>history :</span></dt><dd>2011-07-13T02:25:29Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_ocean_fx_CanCM4_decadal1982_r0i0p0.nc areacello: areacello_fx_CanCM4_decadal1982_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[[      nan,       nan,       nan, ...,       nan,       nan,\n",
        "               nan],\n",
        "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
        "               nan],\n",
@@ -816,7 +832,7 @@
        "        [271.20563, 271.20618, 271.2068 , ..., 271.2043 , 271.20468,\n",
        "         271.2051 ],\n",
        "        [271.1999 , 271.1999 , 271.1999 , ..., 271.1999 , 271.1999 ,\n",
-       "         271.1999 ]]], shape=(10, 192, 256), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9819304c-5f9a-44e1-97b2-7a44f777b9a9' class='xr-section-summary-in' type='checkbox' checked /><label for='section-9819304c-5f9a-44e1-97b2-7a44f777b9a9' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(31)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CCCma (Canadian Centre for Climate Modelling and Analysis, Victoria, BC, Canada)</dd><dt><span>institute_id :</span></dt><dd>CCCma</dd><dt><span>experiment_id :</span></dt><dd>decadal1982</dd><dt><span>source :</span></dt><dd>CanCM4 2010 atmosphere: CanAM4 (AGCM15i, T63L35) ocean: CanOM4 (OGCM4.0, 256x192L40) sea ice: CanSIM1 (Cavitating Fluid, T63 Gaussian Grid) land: CLASS2.7</dd><dt><span>model_id :</span></dt><dd>CanCM4</dd><dt><span>forcing :</span></dt><dd>GHG,Oz,SA,BC,OC,LU,Sl,Vl (GHG includes CO2,CH4,N2O,CFC11,effective CFC12)</dd><dt><span>parent_experiment_id :</span></dt><dd>N/A</dd><dt><span>parent_experiment_rip :</span></dt><dd>N/A</dd><dt><span>branch_time :</span></dt><dd>0.0</dd><dt><span>contact :</span></dt><dd>cccma_info@ec.gc.ca</dd><dt><span>references :</span></dt><dd>http://www.cccma.ec.gc.ca/models</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>5152f593-3451-453f-9c5f-b45e46a2efc0</dd><dt><span>branch_time_YMDH :</span></dt><dd>1983:01:01:00</dd><dt><span>CCCma_runid :</span></dt><dd>DHFP1B_E005_I1983_M01</dd><dt><span>CCCma_parent_runid :</span></dt><dd>DHFP1_E005</dd><dt><span>CCCma_data_licence :</span></dt><dd>1) GRANT OF LICENCE - The Government of Canada (Environment Canada) is the \n",
+       "         271.1999 ]]], shape=(10, 192, 256), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0543d575-3aab-4c20-8bd1-5932b380059c' class='xr-section-summary-in' type='checkbox' checked /><label for='section-0543d575-3aab-4c20-8bd1-5932b380059c' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(31)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CCCma (Canadian Centre for Climate Modelling and Analysis, Victoria, BC, Canada)</dd><dt><span>institute_id :</span></dt><dd>CCCma</dd><dt><span>experiment_id :</span></dt><dd>decadal1982</dd><dt><span>source :</span></dt><dd>CanCM4 2010 atmosphere: CanAM4 (AGCM15i, T63L35) ocean: CanOM4 (OGCM4.0, 256x192L40) sea ice: CanSIM1 (Cavitating Fluid, T63 Gaussian Grid) land: CLASS2.7</dd><dt><span>model_id :</span></dt><dd>CanCM4</dd><dt><span>forcing :</span></dt><dd>GHG,Oz,SA,BC,OC,LU,Sl,Vl (GHG includes CO2,CH4,N2O,CFC11,effective CFC12)</dd><dt><span>parent_experiment_id :</span></dt><dd>N/A</dd><dt><span>parent_experiment_rip :</span></dt><dd>N/A</dd><dt><span>branch_time :</span></dt><dd>0.0</dd><dt><span>contact :</span></dt><dd>cccma_info@ec.gc.ca</dd><dt><span>references :</span></dt><dd>http://www.cccma.ec.gc.ca/models</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>5152f593-3451-453f-9c5f-b45e46a2efc0</dd><dt><span>branch_time_YMDH :</span></dt><dd>1983:01:01:00</dd><dt><span>CCCma_runid :</span></dt><dd>DHFP1B_E005_I1983_M01</dd><dt><span>CCCma_parent_runid :</span></dt><dd>DHFP1_E005</dd><dt><span>CCCma_data_licence :</span></dt><dd>1) GRANT OF LICENCE - The Government of Canada (Environment Canada) is the \n",
        "owner of all intellectual property rights (including copyright) that may exist in this Data \n",
        "product. You (as &quot;The Licensee&quot;) are hereby granted a non-exclusive, non-assignable, \n",
        "non-transferable unrestricted licence to use this data product for any purpose including \n",
@@ -899,10 +915,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T17:10:17.108459Z",
-     "iopub.status.busy": "2026-05-30T17:10:17.108373Z",
-     "iopub.status.idle": "2026-05-30T17:10:17.115745Z",
-     "shell.execute_reply": "2026-05-30T17:10:17.115298Z"
+     "iopub.execute_input": "2026-05-31T18:59:16.977657Z",
+     "iopub.status.busy": "2026-05-31T18:59:16.977533Z",
+     "iopub.status.idle": "2026-05-31T18:59:16.982540Z",
+     "shell.execute_reply": "2026-05-31T18:59:16.982076Z"
     }
    },
    "outputs": [
@@ -966,10 +982,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T17:10:17.116984Z",
-     "iopub.status.busy": "2026-05-30T17:10:17.116919Z",
-     "iopub.status.idle": "2026-05-30T17:10:17.220424Z",
-     "shell.execute_reply": "2026-05-30T17:10:17.220077Z"
+     "iopub.execute_input": "2026-05-31T18:59:16.984059Z",
+     "iopub.status.busy": "2026-05-31T18:59:16.983984Z",
+     "iopub.status.idle": "2026-05-31T18:59:17.085037Z",
+     "shell.execute_reply": "2026-05-31T18:59:17.084392Z"
     }
    },
    "outputs": [
@@ -977,7 +993,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "output/01_basic_ocean_surface_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tos/tavg-u-hxy-sea/g999/v20260530/tos_tavg-u-hxy-sea_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_198301-198310.nc\n"
+      "output/01_basic_ocean_surface_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tos/tavg-u-hxy-sea/g999/v20260531/tos_tavg-u-hxy-sea_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_198301-198310.nc\n"
      ]
     }
    ],
@@ -1020,10 +1036,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T17:10:17.221712Z",
-     "iopub.status.busy": "2026-05-30T17:10:17.221628Z",
-     "iopub.status.idle": "2026-05-30T17:10:17.242501Z",
-     "shell.execute_reply": "2026-05-30T17:10:17.242010Z"
+     "iopub.execute_input": "2026-05-31T18:59:17.086755Z",
+     "iopub.status.busy": "2026-05-31T18:59:17.086642Z",
+     "iopub.status.idle": "2026-05-31T18:59:17.108122Z",
+     "shell.execute_reply": "2026-05-31T18:59:17.107596Z"
     }
    },
    "outputs": [
@@ -1590,7 +1606,7 @@
        "    area_label:            sea\n",
        "    branded_variable:      tos_tavg-u-hxy-sea\n",
        "    branding_suffix:       tavg-u-hxy-sea\n",
-       "    creation_date:         2026-05-30T17:10:17Z\n",
+       "    creation_date:         2026-05-31T18:59:17Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -1600,7 +1616,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-30T17:10:17Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-05-31T18:59:17Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1619,13 +1635,13 @@
        "    table_info:            Name: CMIP7_ocean.json; Creation Date:(2026-04-21 ...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/b23c7bdd-5939-4a99-9bab-4e92493b1123\n",
+       "    tracking_id:           hdl:21.14107/416e223a-d2e9-42e9-85e1-4ebbd0e29d8e\n",
        "    variable_id:           tos\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-97df02f8-0b10-4272-8176-974695461e78' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-97df02f8-0b10-4272-8176-974695461e78' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 192</li><li><span class='xr-has-index'>lon</span>: 256</li></ul></div></li><li class='xr-section-item'><input id='section-04a3954d-9321-4b64-a036-e00060f664f3' class='xr-section-summary-in' type='checkbox' checked /><label for='section-04a3954d-9321-4b64-a036-e00060f664f3' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.856e+04 4.859e+04 ... 4.883e+04</div><input id='attrs-112f04c1-82f6-42e9-9cdd-83b0971f2178' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-112f04c1-82f6-42e9-9cdd-83b0971f2178' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a2f75e1-4f99-4484-a072-db8b4cafbc59' class='xr-var-data-in' type='checkbox'><label for='data-9a2f75e1-4f99-4484-a072-db8b4cafbc59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-1-1</dd><dt><span>calendar :</span></dt><dd>365_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([48560.5, 48590. , 48619.5, 48650. , 48680.5, 48711. , 48741.5, 48772.5,\n",
-       "       48803. , 48833.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.43 -88.29 ... 88.29 89.43</div><input id='attrs-1da811ae-6c3e-442e-bb1b-5db0e9d22d27' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1da811ae-6c3e-442e-bb1b-5db0e9d22d27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc0ea0f0-ed88-4eb6-b021-b86aced9beab' class='xr-var-data-in' type='checkbox'><label for='data-bc0ea0f0-ed88-4eb6-b021-b86aced9beab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.429619, -88.288872, -87.148125, -86.107635, -85.167389, -84.22715 ,\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2273222a-8e14-4af3-a80e-bf9c6228a532' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-2273222a-8e14-4af3-a80e-bf9c6228a532' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 192</li><li><span class='xr-has-index'>lon</span>: 256</li></ul></div></li><li class='xr-section-item'><input id='section-6d71d108-c2d8-4ba1-ac5f-3d76040021a9' class='xr-section-summary-in' type='checkbox' checked /><label for='section-6d71d108-c2d8-4ba1-ac5f-3d76040021a9' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.856e+04 4.859e+04 ... 4.883e+04</div><input id='attrs-90c9047e-5104-4739-b06d-ea73a7e76834' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90c9047e-5104-4739-b06d-ea73a7e76834' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-035820fd-5790-40d3-9697-418afabdd188' class='xr-var-data-in' type='checkbox'><label for='data-035820fd-5790-40d3-9697-418afabdd188' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-1-1</dd><dt><span>calendar :</span></dt><dd>365_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([48560.5, 48590. , 48619.5, 48650. , 48680.5, 48711. , 48741.5, 48772.5,\n",
+       "       48803. , 48833.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.43 -88.29 ... 88.29 89.43</div><input id='attrs-ba046a59-9cdc-4f61-9567-57ca7e7f0404' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba046a59-9cdc-4f61-9567-57ca7e7f0404' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d39f921-0957-4b56-bbe9-d43c58cf5445' class='xr-var-data-in' type='checkbox'><label for='data-7d39f921-0957-4b56-bbe9-d43c58cf5445' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.429619, -88.288872, -87.148125, -86.107635, -85.167389, -84.22715 ,\n",
        "       -83.290031, -82.356026, -81.42202 , -80.488907, -79.556686, -78.624458,\n",
        "       -77.692612, -76.761139, -75.829674, -74.898399, -73.967316, -73.03624 ,\n",
        "       -72.10527 , -71.174423, -70.243568, -69.31279 , -68.382088, -67.451378,\n",
@@ -1656,8 +1672,8 @@
        "        67.451378,  68.382088,  69.31279 ,  70.243568,  71.174423,  72.10527 ,\n",
        "        73.03624 ,  73.967316,  74.898399,  75.829674,  76.761139,  77.692612,\n",
        "        78.624458,  79.556686,  80.488907,  81.42202 ,  82.356026,  83.290031,\n",
-       "        84.22715 ,  85.167389,  86.107635,  87.148125,  88.288872,  89.429619])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.7031 2.109 3.516 ... 357.9 359.3</div><input id='attrs-0a82fd06-d9b2-474c-a486-dff364faf961' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a82fd06-d9b2-474c-a486-dff364faf961' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f78509d-f0de-4c3a-9276-5639e85b5873' class='xr-var-data-in' type='checkbox'><label for='data-0f78509d-f0de-4c3a-9276-5639e85b5873' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.703125,   2.109375,   3.515625, ..., 356.484375, 357.890625,\n",
-       "       359.296875], shape=(256,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f3d1f73d-4707-4325-b223-2a530992e696' class='xr-section-summary-in' type='checkbox' checked /><label for='section-f3d1f73d-4707-4325-b223-2a530992e696' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.854e+04 4.858e+04 ... 4.885e+04</div><input id='attrs-fc68c477-a87a-4aef-8f96-a300a426c172' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fc68c477-a87a-4aef-8f96-a300a426c172' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90da4d5a-f4e2-47c3-af36-5c29a813679a' class='xr-var-data-in' type='checkbox'><label for='data-90da4d5a-f4e2-47c3-af36-5c29a813679a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[48545., 48576.],\n",
+       "        84.22715 ,  85.167389,  86.107635,  87.148125,  88.288872,  89.429619])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.7031 2.109 3.516 ... 357.9 359.3</div><input id='attrs-90093937-bd01-4c32-87c0-f30bb5f1e9c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90093937-bd01-4c32-87c0-f30bb5f1e9c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26598f50-c3af-432a-9b88-dd3d34c76a39' class='xr-var-data-in' type='checkbox'><label for='data-26598f50-c3af-432a-9b88-dd3d34c76a39' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.703125,   2.109375,   3.515625, ..., 356.484375, 357.890625,\n",
+       "       359.296875], shape=(256,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-64bcb466-b173-40a4-af15-e7756341129c' class='xr-section-summary-in' type='checkbox' checked /><label for='section-64bcb466-b173-40a4-af15-e7756341129c' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.854e+04 4.858e+04 ... 4.885e+04</div><input id='attrs-4247cd80-6f82-41e6-82d4-4d55535b7242' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4247cd80-6f82-41e6-82d4-4d55535b7242' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f785efd-b862-47c8-b526-617b9759fc76' class='xr-var-data-in' type='checkbox'><label for='data-1f785efd-b862-47c8-b526-617b9759fc76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[48545., 48576.],\n",
        "       [48576., 48604.],\n",
        "       [48604., 48635.],\n",
        "       [48635., 48665.],\n",
@@ -1666,7 +1682,7 @@
        "       [48726., 48757.],\n",
        "       [48757., 48788.],\n",
        "       [48788., 48818.],\n",
-       "       [48818., 48849.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.86 -88.86 ... 88.86 90.0</div><input id='attrs-a311df9e-f851-4666-99f8-8505963dba65' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a311df9e-f851-4666-99f8-8505963dba65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d05e9a62-10df-45b9-80ed-eb5d76aa3d97' class='xr-var-data-in' type='checkbox'><label for='data-d05e9a62-10df-45b9-80ed-eb5d76aa3d97' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-9.00000000e+01, -8.88592453e+01],\n",
+       "       [48818., 48849.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.86 -88.86 ... 88.86 90.0</div><input id='attrs-80e29189-29c3-4db5-9c3d-bc88324bfe83' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-80e29189-29c3-4db5-9c3d-bc88324bfe83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-967dbbb8-df71-407d-89a6-3f4c90a2475f' class='xr-var-data-in' type='checkbox'><label for='data-967dbbb8-df71-407d-89a6-3f4c90a2475f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-9.00000000e+01, -8.88592453e+01],\n",
        "       [-8.88592453e+01, -8.77184982e+01],\n",
        "       [-8.77184982e+01, -8.65777512e+01],\n",
        "       [-8.65777512e+01, -8.56375122e+01],\n",
@@ -1706,7 +1722,7 @@
        "       [ 8.56375122e+01,  8.65777512e+01],\n",
        "       [ 8.65777512e+01,  8.77184982e+01],\n",
        "       [ 8.77184982e+01,  8.88592453e+01],\n",
-       "       [ 8.88592453e+01,  9.00000000e+01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.406 1.406 ... 358.6 360.0</div><input id='attrs-af1c1714-baed-480a-8c87-0ed0a269a7b1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-af1c1714-baed-480a-8c87-0ed0a269a7b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a3b6480-d992-4a08-bcc9-a7375c92dcc6' class='xr-var-data-in' type='checkbox'><label for='data-3a3b6480-d992-4a08-bcc9-a7375c92dcc6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.     ,   1.40625],\n",
+       "       [ 8.88592453e+01,  9.00000000e+01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.406 1.406 ... 358.6 360.0</div><input id='attrs-3ea5cf11-21ce-4854-b679-417670eaeb62' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3ea5cf11-21ce-4854-b679-417670eaeb62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0bafc987-f7b3-4e67-a3ca-ef488c32ddbc' class='xr-var-data-in' type='checkbox'><label for='data-0bafc987-f7b3-4e67-a3ca-ef488c32ddbc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.     ,   1.40625],\n",
        "       [  1.40625,   2.8125 ],\n",
        "       [  2.8125 ,   4.21875],\n",
        "       [  4.21875,   5.625  ],\n",
@@ -1746,7 +1762,7 @@
        "       [354.375  , 355.78125],\n",
        "       [355.78125, 357.1875 ],\n",
        "       [357.1875 , 358.59375],\n",
-       "       [358.59375, 360.     ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... -1.95 -1.95 -1.95</div><input id='attrs-330272b3-c0db-46e9-9d64-7388b96b51c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-330272b3-c0db-46e9-9d64-7388b96b51c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-955a0a9d-9300-4cd2-b999-73f02de702d7' class='xr-var-data-in' type='checkbox'><label for='data-955a0a9d-9300-4cd2-b999-73f02de702d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd></dl></div><div class='xr-var-data'><pre>array([[[       nan,        nan,        nan, ...,        nan,\n",
+       "       [358.59375, 360.     ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... -1.95 -1.95 -1.95</div><input id='attrs-f2e0be04-66b7-470a-8dbb-3178243fa52d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f2e0be04-66b7-470a-8dbb-3178243fa52d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80ef806d-a313-434f-81d0-b597432d00b7' class='xr-var-data-in' type='checkbox'><label for='data-80ef806d-a313-434f-81d0-b597432d00b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd></dl></div><div class='xr-var-data'><pre>array([[[       nan,        nan,        nan, ...,        nan,\n",
        "                nan,        nan],\n",
        "        [       nan,        nan,        nan, ...,        nan,\n",
        "                nan,        nan],\n",
@@ -1786,7 +1802,7 @@
        "        [-1.9443665, -1.9438171, -1.9432068, ..., -1.9456787,\n",
        "         -1.9453125, -1.9448853],\n",
        "        [-1.9501038, -1.9501038, -1.9501038, ..., -1.9501038,\n",
-       "         -1.9501038, -1.9501038]]], shape=(10, 192, 256), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-77485c7a-8cf6-4c5c-9d69-8ced19728cdd' class='xr-section-summary-in' type='checkbox' checked /><label for='section-77485c7a-8cf6-4c5c-9d69-8ced19728cdd' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>tos_tavg-u-hxy-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-sea</dd><dt><span>creation_date :</span></dt><dd>2026-05-30T17:10:17Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacello</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-30T17:10:17Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/b23c7bdd-5939-4a99-9bab-4e92493b1123</dd><dt><span>variable_id :</span></dt><dd>tos</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+       "         -1.9501038, -1.9501038]]], shape=(10, 192, 256), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7f1acd4a-8220-47fb-8a5e-2125e6b62879' class='xr-section-summary-in' type='checkbox' checked /><label for='section-7f1acd4a-8220-47fb-8a5e-2125e6b62879' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>tos_tavg-u-hxy-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-sea</dd><dt><span>creation_date :</span></dt><dd>2026-05-31T18:59:17Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacello</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-31T18:59:17Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/416e223a-d2e9-42e9-85e1-4ebbd0e29d8e</dd><dt><span>variable_id :</span></dt><dd>tos</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 2MB\n",
@@ -1807,7 +1823,7 @@
        "    area_label:            sea\n",
        "    branded_variable:      tos_tavg-u-hxy-sea\n",
        "    branding_suffix:       tavg-u-hxy-sea\n",
-       "    creation_date:         2026-05-30T17:10:17Z\n",
+       "    creation_date:         2026-05-31T18:59:17Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -1817,7 +1833,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-30T17:10:17Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-05-31T18:59:17Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1836,7 +1852,7 @@
        "    table_info:            Name: CMIP7_ocean.json; Creation Date:(2026-04-21 ...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/b23c7bdd-5939-4a99-9bab-4e92493b1123\n",
+       "    tracking_id:           hdl:21.14107/416e223a-d2e9-42e9-85e1-4ebbd0e29d8e\n",
        "    variable_id:           tos\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
@@ -1867,16 +1883,16 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T17:10:17.244004Z",
-     "iopub.status.busy": "2026-05-30T17:10:17.243911Z",
-     "iopub.status.idle": "2026-05-30T17:10:17.427240Z",
-     "shell.execute_reply": "2026-05-30T17:10:17.426672Z"
+     "iopub.execute_input": "2026-05-31T18:59:17.109642Z",
+     "iopub.status.busy": "2026-05-31T18:59:17.109520Z",
+     "iopub.status.idle": "2026-05-31T18:59:17.290850Z",
+     "shell.execute_reply": "2026-05-31T18:59:17.290313Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1100x540 with 2 Axes>"
       ]
@@ -1908,7 +1924,8 @@
     "map_plot.drawmeridians(np.arange(-180, 181, 60), labels=[0, 0, 0, 1], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
     "colorbar = map_plot.colorbar(mesh, location=\"right\", pad=\"5%\")\n",
     "colorbar.set_label(\"degC\")\n",
-    "ax.set_title(\"CMIP7 tos, first month\")\n",
+    "time_label = month_year_label(ds[\"time\"])\n",
+    "ax.set_title(f\"CMIP7 tos, {time_label}\")\n",
     "plt.show()\n"
    ]
   }
diff --git a/notebooks/02_atmos_surface_air_temperature.ipynb b/notebooks/02_atmos_surface_air_temperature.ipynb
index adf2f441..0d5a7879 100644
--- a/notebooks/02_atmos_surface_air_temperature.ipynb
+++ b/notebooks/02_atmos_surface_air_temperature.ipynb
@@ -14,10 +14,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T17:19:53.376803Z",
-     "iopub.status.busy": "2026-05-30T17:19:53.376699Z",
-     "iopub.status.idle": "2026-05-30T17:19:54.292086Z",
-     "shell.execute_reply": "2026-05-30T17:19:54.291601Z"
+     "iopub.execute_input": "2026-05-31T18:59:18.304412Z",
+     "iopub.status.busy": "2026-05-31T18:59:18.304220Z",
+     "iopub.status.idle": "2026-05-31T18:59:18.846176Z",
+     "shell.execute_reply": "2026-05-31T18:59:18.845672Z"
     }
    },
    "outputs": [
@@ -31,6 +31,7 @@
    ],
    "source": [
     "from pathlib import Path\n",
+    "import calendar\n",
     "import json\n",
     "import shutil\n",
     "\n",
@@ -51,6 +52,21 @@
     "if not DATA_PATH.exists():\n",
     "    raise FileNotFoundError(f\"Source data file not found: {DATA_PATH}\")\n",
     "\n",
+    "\n",
+    "\n",
+    "def month_year_label(time_coord):\n",
+    "    decoded_time = xr.coding.times.decode_cf_datetime(\n",
+    "        time_coord.values[:1],\n",
+    "        time_coord.attrs[\"units\"],\n",
+    "        calendar=time_coord.attrs.get(\"calendar\", \"standard\"),\n",
+    "    )[0]\n",
+    "    if hasattr(decoded_time, \"strftime\"):\n",
+    "        return decoded_time.strftime(\"%B %Y\")\n",
+    "    date_text = np.datetime_as_string(decoded_time, unit=\"D\")\n",
+    "    year, month = date_text.split(\"-\")[:2]\n",
+    "    return f\"{calendar.month_name[int(month)]} {year}\"\n",
+    "\n",
+    "\n",
     "print(f\"Using CMIP7 tables from {TABLES_DIR}\")\n"
    ]
   },
@@ -59,10 +75,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T17:19:54.310063Z",
-     "iopub.status.busy": "2026-05-30T17:19:54.309841Z",
-     "iopub.status.idle": "2026-05-30T17:19:54.454797Z",
-     "shell.execute_reply": "2026-05-30T17:19:54.454270Z"
+     "iopub.execute_input": "2026-05-31T18:59:18.848332Z",
+     "iopub.status.busy": "2026-05-31T18:59:18.847916Z",
+     "iopub.status.idle": "2026-05-31T18:59:18.986815Z",
+     "shell.execute_reply": "2026-05-31T18:59:18.986433Z"
     }
    },
    "outputs": [
@@ -651,14 +667,14 @@
        "    parent_experiment:      pre-industrial control\n",
        "    modeling_realm:         atmos\n",
        "    realization:            1\n",
-       "    cmor_version:           2.5.7</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a080c182-b619-42bb-820a-4cd509d7b6f3' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-a080c182-b619-42bb-820a-4cd509d7b6f3' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 90</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div></li><li class='xr-section-item'><input id='section-c25d87f7-3141-4920-a485-4bd178285ccf' class='xr-section-summary-in' type='checkbox' checked /><label for='section-c25d87f7-3141-4920-a485-4bd178285ccf' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.5 45.0 74.5 ... 258.0 288.5</div><input id='attrs-318cdf6d-6d87-4866-8ab2-8d51cd3eb6d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-318cdf6d-6d87-4866-8ab2-8d51cd3eb6d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fda6ae90-3b11-4e07-b520-250a92d089dd' class='xr-var-data-in' type='checkbox'><label for='data-fda6ae90-3b11-4e07-b520-250a92d089dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1951-1-1</dd><dt><span>calendar :</span></dt><dd>365_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([ 15.5,  45. ,  74.5, 105. , 135.5, 166. , 196.5, 227.5, 258. , 288.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.0 -87.0 -85.0 ... 87.0 89.0</div><input id='attrs-f6749aee-dc64-408e-aa40-ad884f664fed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6749aee-dc64-408e-aa40-ad884f664fed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b04d8aa-0bab-4cdf-9501-c53d1d05a8d6' class='xr-var-data-in' type='checkbox'><label for='data-3b04d8aa-0bab-4cdf-9501-c53d1d05a8d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89., -87., -85., -83., -81., -79., -77., -75., -73., -71., -69., -67.,\n",
+       "    cmor_version:           2.5.7</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-9d037558-a486-46bb-949f-aa459da156b6' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-9d037558-a486-46bb-949f-aa459da156b6' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 90</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div></li><li class='xr-section-item'><input id='section-3275a3be-f0b3-4655-ae63-364c22c8b3d3' class='xr-section-summary-in' type='checkbox' checked /><label for='section-3275a3be-f0b3-4655-ae63-364c22c8b3d3' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.5 45.0 74.5 ... 258.0 288.5</div><input id='attrs-345a292d-ae14-4217-a495-aa91baeb4b25' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-345a292d-ae14-4217-a495-aa91baeb4b25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-338e4ff1-13ce-4a02-874b-bf9f9d486b23' class='xr-var-data-in' type='checkbox'><label for='data-338e4ff1-13ce-4a02-874b-bf9f9d486b23' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1951-1-1</dd><dt><span>calendar :</span></dt><dd>365_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([ 15.5,  45. ,  74.5, 105. , 135.5, 166. , 196.5, 227.5, 258. , 288.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.0 -87.0 -85.0 ... 87.0 89.0</div><input id='attrs-4e6a78cf-7a04-49d9-a2f1-05fe17ea579c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e6a78cf-7a04-49d9-a2f1-05fe17ea579c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c8c5c58-9c93-4ae9-9ec4-787826ef86cf' class='xr-var-data-in' type='checkbox'><label for='data-8c8c5c58-9c93-4ae9-9ec4-787826ef86cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89., -87., -85., -83., -81., -79., -77., -75., -73., -71., -69., -67.,\n",
        "       -65., -63., -61., -59., -57., -55., -53., -51., -49., -47., -45., -43.,\n",
        "       -41., -39., -37., -35., -33., -31., -29., -27., -25., -23., -21., -19.,\n",
        "       -17., -15., -13., -11.,  -9.,  -7.,  -5.,  -3.,  -1.,   1.,   3.,   5.,\n",
        "         7.,   9.,  11.,  13.,  15.,  17.,  19.,  21.,  23.,  25.,  27.,  29.,\n",
        "        31.,  33.,  35.,  37.,  39.,  41.,  43.,  45.,  47.,  49.,  51.,  53.,\n",
        "        55.,  57.,  59.,  61.,  63.,  65.,  67.,  69.,  71.,  73.,  75.,  77.,\n",
-       "        79.,  81.,  83.,  85.,  87.,  89.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.25 3.75 6.25 ... 356.2 358.8</div><input id='attrs-66288549-a400-4512-a417-a8e64ba6ed42' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66288549-a400-4512-a417-a8e64ba6ed42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-482f6730-9bbb-447b-803a-30c2ee693939' class='xr-var-data-in' type='checkbox'><label for='data-482f6730-9bbb-447b-803a-30c2ee693939' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  1.25,   3.75,   6.25,   8.75,  11.25,  13.75,  16.25,  18.75,  21.25,\n",
+       "        79.,  81.,  83.,  85.,  87.,  89.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.25 3.75 6.25 ... 356.2 358.8</div><input id='attrs-91425807-3fc3-4caf-9947-41deb337a60c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-91425807-3fc3-4caf-9947-41deb337a60c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c63774d4-6b28-455b-a1e2-4d6950da70cb' class='xr-var-data-in' type='checkbox'><label for='data-c63774d4-6b28-455b-a1e2-4d6950da70cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  1.25,   3.75,   6.25,   8.75,  11.25,  13.75,  16.25,  18.75,  21.25,\n",
        "        23.75,  26.25,  28.75,  31.25,  33.75,  36.25,  38.75,  41.25,  43.75,\n",
        "        46.25,  48.75,  51.25,  53.75,  56.25,  58.75,  61.25,  63.75,  66.25,\n",
        "        68.75,  71.25,  73.75,  76.25,  78.75,  81.25,  83.75,  86.25,  88.75,\n",
@@ -673,7 +689,7 @@
        "       271.25, 273.75, 276.25, 278.75, 281.25, 283.75, 286.25, 288.75, 291.25,\n",
        "       293.75, 296.25, 298.75, 301.25, 303.75, 306.25, 308.75, 311.25, 313.75,\n",
        "       316.25, 318.75, 321.25, 323.75, 326.25, 328.75, 331.25, 333.75, 336.25,\n",
-       "       338.75, 341.25, 343.75, 346.25, 348.75, 351.25, 353.75, 356.25, 358.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-486092c2-78f1-47f2-9270-3c0a6fdd1be1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-486092c2-78f1-47f2-9270-3c0a6fdd1be1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88e1eb63-a4c4-42c2-940b-fcc72c2674ef' class='xr-var-data-in' type='checkbox'><label for='data-88e1eb63-a4c4-42c2-940b-fcc72c2674ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a13592d4-d8d7-428b-8e88-ad8c8e995bcb' class='xr-section-summary-in' type='checkbox' checked /><label for='section-a13592d4-d8d7-428b-8e88-ad8c8e995bcb' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 31.0 31.0 ... 273.0 273.0 304.0</div><input id='attrs-7fce7044-58e9-41dd-9f3d-a6b751e1658e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7fce7044-58e9-41dd-9f3d-a6b751e1658e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15929ccb-384f-4a8d-996d-f291ee039ead' class='xr-var-data-in' type='checkbox'><label for='data-15929ccb-384f-4a8d-996d-f291ee039ead' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  31.],\n",
+       "       338.75, 341.25, 343.75, 346.25, 348.75, 351.25, 353.75, 356.25, 358.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-d9a6230b-46c4-4697-b4d8-f60fe9199271' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9a6230b-46c4-4697-b4d8-f60fe9199271' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eab302c2-3a9d-4fff-8f26-888b0de74a55' class='xr-var-data-in' type='checkbox'><label for='data-eab302c2-3a9d-4fff-8f26-888b0de74a55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ead02f20-2f56-41f0-aab7-ef52dee926f6' class='xr-section-summary-in' type='checkbox' checked /><label for='section-ead02f20-2f56-41f0-aab7-ef52dee926f6' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 31.0 31.0 ... 273.0 273.0 304.0</div><input id='attrs-3c1c59e4-a179-403c-b4e5-8ec68d641318' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3c1c59e4-a179-403c-b4e5-8ec68d641318' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3e5c970-f8aa-4cf4-97d7-0eb6f7b2d141' class='xr-var-data-in' type='checkbox'><label for='data-e3e5c970-f8aa-4cf4-97d7-0eb6f7b2d141' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  31.],\n",
        "       [ 31.,  59.],\n",
        "       [ 59.,  90.],\n",
        "       [ 90., 120.],\n",
@@ -682,7 +698,7 @@
        "       [181., 212.],\n",
        "       [212., 243.],\n",
        "       [243., 273.],\n",
-       "       [273., 304.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.0 -88.0 ... 88.0 90.0</div><input id='attrs-ba2f1635-b641-4c73-b130-f51a3c456594' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ba2f1635-b641-4c73-b130-f51a3c456594' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3804cf2-3bcb-4b7a-96bd-70f5516e2f60' class='xr-var-data-in' type='checkbox'><label for='data-d3804cf2-3bcb-4b7a-96bd-70f5516e2f60' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -88.],\n",
+       "       [273., 304.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.0 -88.0 ... 88.0 90.0</div><input id='attrs-1f6d324e-6c36-40b5-a0b6-ae33898026c3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1f6d324e-6c36-40b5-a0b6-ae33898026c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96345985-bc1f-44e2-86db-cd7c86f44210' class='xr-var-data-in' type='checkbox'><label for='data-96345985-bc1f-44e2-86db-cd7c86f44210' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -88.],\n",
        "       [-88., -86.],\n",
        "       [-86., -84.],\n",
        "       [-84., -82.],\n",
@@ -722,7 +738,7 @@
        "       [ 82.,  84.],\n",
        "       [ 84.,  86.],\n",
        "       [ 86.,  88.],\n",
-       "       [ 88.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.5 2.5 ... 357.5 357.5 360.0</div><input id='attrs-a21b5243-03b5-44f0-be5c-13a3eca996e8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a21b5243-03b5-44f0-be5c-13a3eca996e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-260033c1-041e-42dd-b9f9-adffa3948a44' class='xr-var-data-in' type='checkbox'><label for='data-260033c1-041e-42dd-b9f9-adffa3948a44' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0. ,   2.5],\n",
+       "       [ 88.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.5 2.5 ... 357.5 357.5 360.0</div><input id='attrs-9fa333e1-ac05-4d2b-8c38-6fe518abb9a2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9fa333e1-ac05-4d2b-8c38-6fe518abb9a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ac5ddd8-cb7d-4b0d-a731-0e3130bde436' class='xr-var-data-in' type='checkbox'><label for='data-1ac5ddd8-cb7d-4b0d-a731-0e3130bde436' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0. ,   2.5],\n",
        "       [  2.5,   5. ],\n",
        "       [  5. ,   7.5],\n",
        "       [  7.5,  10. ],\n",
@@ -762,7 +778,7 @@
        "       [350. , 352.5],\n",
        "       [352.5, 355. ],\n",
        "       [355. , 357.5],\n",
-       "       [357.5, 360. ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>246.9 246.9 246.9 ... 259.4 259.4</div><input id='attrs-726d2176-1491-4b9b-8b61-c6aab7e6a422' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-726d2176-1491-4b9b-8b61-c6aab7e6a422' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57cc5d26-d6aa-4c59-bfdd-1f0f6fadb74d' class='xr-var-data-in' type='checkbox'><label for='data-57cc5d26-d6aa-4c59-bfdd-1f0f6fadb74d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>dummy</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-10-18T13:06:08Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2011-10-18T13:06:08Z altered by CMOR: replaced missing value flag (-1e+30) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_GISS-E2-H_historical_r0i0p0.nc areacella: areacella_fx_GISS-E2-H_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[[246.86728, 246.86728, 246.86728, ..., 246.86728, 246.86728,\n",
+       "       [357.5, 360. ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>246.9 246.9 246.9 ... 259.4 259.4</div><input id='attrs-3c0361bc-9a1a-43b5-b894-4fedb9e599e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c0361bc-9a1a-43b5-b894-4fedb9e599e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-768ec10b-a311-43be-b9ca-96348af2d763' class='xr-var-data-in' type='checkbox'><label for='data-768ec10b-a311-43be-b9ca-96348af2d763' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>dummy</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-10-18T13:06:08Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2011-10-18T13:06:08Z altered by CMOR: replaced missing value flag (-1e+30) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_GISS-E2-H_historical_r0i0p0.nc areacella: areacella_fx_GISS-E2-H_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[[246.86728, 246.86728, 246.86728, ..., 246.86728, 246.86728,\n",
        "         246.86728],\n",
        "        [248.9035 , 248.54457, 248.41835, ..., 249.81686, 249.28986,\n",
        "         249.04837],\n",
@@ -802,7 +818,7 @@
        "        [260.8171 , 261.04578, 261.01935, ..., 261.011  , 260.5789 ,\n",
        "         260.7901 ],\n",
        "        [259.38904, 259.38904, 259.38904, ..., 259.38904, 259.38904,\n",
-       "         259.38904]]], shape=(10, 90, 144), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0beba8d6-05a9-4b77-aca4-43f6c1a0852e' class='xr-section-summary-in' type='checkbox' checked /><label for='section-0beba8d6-05a9-4b77-aca4-43f6c1a0852e' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(27)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>NASA/GISS (Goddard Institute for Space Studies) New York, NY</dd><dt><span>institute_id :</span></dt><dd>NASA-GISS</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>GISS-E2-H-Eh137Tcadf9a Atmosphere: GISS-E2; Ocean: H</dd><dt><span>model_id :</span></dt><dd>GISS-E2-H</dd><dt><span>forcing :</span></dt><dd>GHG, LU, Sl, Vl, BC, OC, SA, Oz (also includes orbital change - BC on snow - Nitrate aerosols)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p2</dd><dt><span>branch_time :</span></dt><dd>2490.0</dd><dt><span>contact :</span></dt><dd>Kenneth Lo (cdkkl@giss.nasa.gov)</dd><dt><span>references :</span></dt><dd>http://data.giss.nasa.gov/modelE/ar5</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>2</dd><dt><span>tracking_id :</span></dt><dd>d43050cd-5c43-4dc5-914a-f724463bc109</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2011-10-18T13:06:09Z</dd><dt><span>history :</span></dt><dd>2011-10-18T13:06:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (31 January 2011) 53b766a395ac41696af40aab76a49ae5</dd><dt><span>title :</span></dt><dd>GISS-E2-H model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.5.7</dd></dl></div></li></ul></div></div>"
+       "         259.38904]]], shape=(10, 90, 144), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4191e010-fa89-42df-8bc9-2931a1f2154d' class='xr-section-summary-in' type='checkbox' checked /><label for='section-4191e010-fa89-42df-8bc9-2931a1f2154d' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(27)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>NASA/GISS (Goddard Institute for Space Studies) New York, NY</dd><dt><span>institute_id :</span></dt><dd>NASA-GISS</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>GISS-E2-H-Eh137Tcadf9a Atmosphere: GISS-E2; Ocean: H</dd><dt><span>model_id :</span></dt><dd>GISS-E2-H</dd><dt><span>forcing :</span></dt><dd>GHG, LU, Sl, Vl, BC, OC, SA, Oz (also includes orbital change - BC on snow - Nitrate aerosols)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p2</dd><dt><span>branch_time :</span></dt><dd>2490.0</dd><dt><span>contact :</span></dt><dd>Kenneth Lo (cdkkl@giss.nasa.gov)</dd><dt><span>references :</span></dt><dd>http://data.giss.nasa.gov/modelE/ar5</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>2</dd><dt><span>tracking_id :</span></dt><dd>d43050cd-5c43-4dc5-914a-f724463bc109</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2011-10-18T13:06:09Z</dd><dt><span>history :</span></dt><dd>2011-10-18T13:06:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (31 January 2011) 53b766a395ac41696af40aab76a49ae5</dd><dt><span>title :</span></dt><dd>GISS-E2-H model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.5.7</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 524kB\n",
@@ -871,10 +887,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T17:19:54.456439Z",
-     "iopub.status.busy": "2026-05-30T17:19:54.456334Z",
-     "iopub.status.idle": "2026-05-30T17:19:54.464384Z",
-     "shell.execute_reply": "2026-05-30T17:19:54.463804Z"
+     "iopub.execute_input": "2026-05-31T18:59:18.988282Z",
+     "iopub.status.busy": "2026-05-31T18:59:18.988191Z",
+     "iopub.status.idle": "2026-05-31T18:59:18.992621Z",
+     "shell.execute_reply": "2026-05-31T18:59:18.992293Z"
     }
    },
    "outputs": [
@@ -940,10 +956,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T17:19:54.465882Z",
-     "iopub.status.busy": "2026-05-30T17:19:54.465748Z",
-     "iopub.status.idle": "2026-05-30T17:19:54.561348Z",
-     "shell.execute_reply": "2026-05-30T17:19:54.560647Z"
+     "iopub.execute_input": "2026-05-31T18:59:18.994255Z",
+     "iopub.status.busy": "2026-05-31T18:59:18.994161Z",
+     "iopub.status.idle": "2026-05-31T18:59:19.081345Z",
+     "shell.execute_reply": "2026-05-31T18:59:19.080894Z"
     }
    },
    "outputs": [
@@ -951,7 +967,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "output/02_atmos_surface_air_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tas/tavg-h2m-hxy-u/g999/v20260530/tas_tavg-h2m-hxy-u_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_195101-195110.nc\n"
+      "output/02_atmos_surface_air_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tas/tavg-h2m-hxy-u/g999/v20260531/tas_tavg-h2m-hxy-u_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_195101-195110.nc\n"
      ]
     }
    ],
@@ -995,10 +1011,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T17:19:54.562919Z",
-     "iopub.status.busy": "2026-05-30T17:19:54.562810Z",
-     "iopub.status.idle": "2026-05-30T17:19:54.579039Z",
-     "shell.execute_reply": "2026-05-30T17:19:54.578529Z"
+     "iopub.execute_input": "2026-05-31T18:59:19.082656Z",
+     "iopub.status.busy": "2026-05-31T18:59:19.082570Z",
+     "iopub.status.idle": "2026-05-31T18:59:19.097973Z",
+     "shell.execute_reply": "2026-05-31T18:59:19.097548Z"
     }
    },
    "outputs": [
@@ -1566,7 +1582,7 @@
        "    area_label:            u\n",
        "    branded_variable:      tas_tavg-h2m-hxy-u\n",
        "    branding_suffix:       tavg-h2m-hxy-u\n",
-       "    creation_date:         2026-05-30T17:19:54Z\n",
+       "    creation_date:         2026-05-31T18:59:19Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -1576,7 +1592,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-30T17:19:54Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-05-31T18:59:19Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1595,19 +1611,19 @@
        "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/5be8cd5e-35d7-4868-bcd3-e2a00208407b\n",
+       "    tracking_id:           hdl:21.14107/24da3704-0843-49fb-abd9-3fa086d0c1cb\n",
        "    variable_id:           tas\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        h2m\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-55a178e5-512d-4fea-b53f-75bed6838751' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-55a178e5-512d-4fea-b53f-75bed6838751' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 90</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div></li><li class='xr-section-item'><input id='section-d334d8d0-3617-4972-a4dd-e880187eb374' class='xr-section-summary-in' type='checkbox' checked /><label for='section-d334d8d0-3617-4972-a4dd-e880187eb374' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.5 45.0 74.5 ... 258.0 288.5</div><input id='attrs-82098cc9-5427-4d88-8faf-1754f2b62539' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82098cc9-5427-4d88-8faf-1754f2b62539' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-235baebc-2328-4960-890f-946ebbf1cdef' class='xr-var-data-in' type='checkbox'><label for='data-235baebc-2328-4960-890f-946ebbf1cdef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1951-1-1</dd><dt><span>calendar :</span></dt><dd>365_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([ 15.5,  45. ,  74.5, 105. , 135.5, 166. , 196.5, 227.5, 258. , 288.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.0 -87.0 -85.0 ... 87.0 89.0</div><input id='attrs-3b211a6b-2991-4f7b-b7e8-cf45da1a31da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b211a6b-2991-4f7b-b7e8-cf45da1a31da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44586e26-b6a2-46a6-b1cc-a49c15baaa7c' class='xr-var-data-in' type='checkbox'><label for='data-44586e26-b6a2-46a6-b1cc-a49c15baaa7c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89., -87., -85., -83., -81., -79., -77., -75., -73., -71., -69., -67.,\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-dbfaebd4-6d39-42fd-9aad-50c76696f1f3' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-dbfaebd4-6d39-42fd-9aad-50c76696f1f3' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 90</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div></li><li class='xr-section-item'><input id='section-97e59faa-2c9e-4dc2-b861-8c6c9ce1bcc2' class='xr-section-summary-in' type='checkbox' checked /><label for='section-97e59faa-2c9e-4dc2-b861-8c6c9ce1bcc2' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.5 45.0 74.5 ... 258.0 288.5</div><input id='attrs-ecce3f64-abb9-4b73-8f93-e7b0e0d547d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ecce3f64-abb9-4b73-8f93-e7b0e0d547d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f47f09c-06c9-44ad-85bb-79edc9c37b66' class='xr-var-data-in' type='checkbox'><label for='data-2f47f09c-06c9-44ad-85bb-79edc9c37b66' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1951-1-1</dd><dt><span>calendar :</span></dt><dd>365_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([ 15.5,  45. ,  74.5, 105. , 135.5, 166. , 196.5, 227.5, 258. , 288.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.0 -87.0 -85.0 ... 87.0 89.0</div><input id='attrs-ce465c0a-ed64-49e2-b179-50eb17169969' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce465c0a-ed64-49e2-b179-50eb17169969' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7b89b14-62d7-45c6-bec5-6d8e8e334c1f' class='xr-var-data-in' type='checkbox'><label for='data-b7b89b14-62d7-45c6-bec5-6d8e8e334c1f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89., -87., -85., -83., -81., -79., -77., -75., -73., -71., -69., -67.,\n",
        "       -65., -63., -61., -59., -57., -55., -53., -51., -49., -47., -45., -43.,\n",
        "       -41., -39., -37., -35., -33., -31., -29., -27., -25., -23., -21., -19.,\n",
        "       -17., -15., -13., -11.,  -9.,  -7.,  -5.,  -3.,  -1.,   1.,   3.,   5.,\n",
        "         7.,   9.,  11.,  13.,  15.,  17.,  19.,  21.,  23.,  25.,  27.,  29.,\n",
        "        31.,  33.,  35.,  37.,  39.,  41.,  43.,  45.,  47.,  49.,  51.,  53.,\n",
        "        55.,  57.,  59.,  61.,  63.,  65.,  67.,  69.,  71.,  73.,  75.,  77.,\n",
-       "        79.,  81.,  83.,  85.,  87.,  89.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.25 3.75 6.25 ... 356.2 358.8</div><input id='attrs-b404ea0e-298d-475c-86f8-aa8ab9eb89c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b404ea0e-298d-475c-86f8-aa8ab9eb89c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17da28d6-a9d8-4ee0-86a5-328aadc3ac7f' class='xr-var-data-in' type='checkbox'><label for='data-17da28d6-a9d8-4ee0-86a5-328aadc3ac7f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  1.25,   3.75,   6.25,   8.75,  11.25,  13.75,  16.25,  18.75,  21.25,\n",
+       "        79.,  81.,  83.,  85.,  87.,  89.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.25 3.75 6.25 ... 356.2 358.8</div><input id='attrs-6bdf8668-2b99-46bb-ad80-a3e4ef198bf3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6bdf8668-2b99-46bb-ad80-a3e4ef198bf3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20fe748a-9361-48e6-b057-f3873791d692' class='xr-var-data-in' type='checkbox'><label for='data-20fe748a-9361-48e6-b057-f3873791d692' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  1.25,   3.75,   6.25,   8.75,  11.25,  13.75,  16.25,  18.75,  21.25,\n",
        "        23.75,  26.25,  28.75,  31.25,  33.75,  36.25,  38.75,  41.25,  43.75,\n",
        "        46.25,  48.75,  51.25,  53.75,  56.25,  58.75,  61.25,  63.75,  66.25,\n",
        "        68.75,  71.25,  73.75,  76.25,  78.75,  81.25,  83.75,  86.25,  88.75,\n",
@@ -1622,7 +1638,7 @@
        "       271.25, 273.75, 276.25, 278.75, 281.25, 283.75, 286.25, 288.75, 291.25,\n",
        "       293.75, 296.25, 298.75, 301.25, 303.75, 306.25, 308.75, 311.25, 313.75,\n",
        "       316.25, 318.75, 321.25, 323.75, 326.25, 328.75, 331.25, 333.75, 336.25,\n",
-       "       338.75, 341.25, 343.75, 346.25, 348.75, 351.25, 353.75, 356.25, 358.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-fe9f5ecf-4633-4f08-aa81-8898eb69381b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe9f5ecf-4633-4f08-aa81-8898eb69381b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e61bf5ae-5694-4f8b-9142-7346aee2dc3a' class='xr-var-data-in' type='checkbox'><label for='data-e61bf5ae-5694-4f8b-9142-7346aee2dc3a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-66cd1a5d-2eda-4d9f-b5bc-8981624817cd' class='xr-section-summary-in' type='checkbox' checked /><label for='section-66cd1a5d-2eda-4d9f-b5bc-8981624817cd' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 31.0 31.0 ... 273.0 273.0 304.0</div><input id='attrs-963a2032-ba37-43eb-a3f2-cd0fbd0bb128' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-963a2032-ba37-43eb-a3f2-cd0fbd0bb128' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3be0717e-2ec2-45c0-ae43-b375bafab812' class='xr-var-data-in' type='checkbox'><label for='data-3be0717e-2ec2-45c0-ae43-b375bafab812' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  31.],\n",
+       "       338.75, 341.25, 343.75, 346.25, 348.75, 351.25, 353.75, 356.25, 358.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-c686b615-9677-4e64-831e-88bcd697f4ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c686b615-9677-4e64-831e-88bcd697f4ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dac943e2-78b7-40cb-b730-fac38302d6bd' class='xr-var-data-in' type='checkbox'><label for='data-dac943e2-78b7-40cb-b730-fac38302d6bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e2665416-706a-4cc6-b5a2-8ec31e289768' class='xr-section-summary-in' type='checkbox' checked /><label for='section-e2665416-706a-4cc6-b5a2-8ec31e289768' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 31.0 31.0 ... 273.0 273.0 304.0</div><input id='attrs-70fc4d92-9be2-433e-b1ad-438f54bb5257' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-70fc4d92-9be2-433e-b1ad-438f54bb5257' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ab3e20e-bb1d-409b-831a-943e08223abb' class='xr-var-data-in' type='checkbox'><label for='data-2ab3e20e-bb1d-409b-831a-943e08223abb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  31.],\n",
        "       [ 31.,  59.],\n",
        "       [ 59.,  90.],\n",
        "       [ 90., 120.],\n",
@@ -1631,7 +1647,7 @@
        "       [181., 212.],\n",
        "       [212., 243.],\n",
        "       [243., 273.],\n",
-       "       [273., 304.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.0 -88.0 ... 88.0 90.0</div><input id='attrs-66595dff-bd9f-41bb-89d3-82ae3c4419db' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-66595dff-bd9f-41bb-89d3-82ae3c4419db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3aa8ba4-2384-4ea3-b28e-2f8235c9b219' class='xr-var-data-in' type='checkbox'><label for='data-b3aa8ba4-2384-4ea3-b28e-2f8235c9b219' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -88.],\n",
+       "       [273., 304.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.0 -88.0 ... 88.0 90.0</div><input id='attrs-26d66bb2-da5f-456a-b29d-192e860fdc7b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-26d66bb2-da5f-456a-b29d-192e860fdc7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a2e48f1-d841-4928-bdfb-732d9826d0bc' class='xr-var-data-in' type='checkbox'><label for='data-3a2e48f1-d841-4928-bdfb-732d9826d0bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -88.],\n",
        "       [-88., -86.],\n",
        "       [-86., -84.],\n",
        "       [-84., -82.],\n",
@@ -1671,7 +1687,7 @@
        "       [ 82.,  84.],\n",
        "       [ 84.,  86.],\n",
        "       [ 86.,  88.],\n",
-       "       [ 88.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.5 2.5 ... 357.5 357.5 360.0</div><input id='attrs-b1853392-b477-471b-9da2-c39ca3e8d43e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b1853392-b477-471b-9da2-c39ca3e8d43e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-372ad869-e96e-4e70-b389-459f5062ccf0' class='xr-var-data-in' type='checkbox'><label for='data-372ad869-e96e-4e70-b389-459f5062ccf0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0. ,   2.5],\n",
+       "       [ 88.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.5 2.5 ... 357.5 357.5 360.0</div><input id='attrs-15aeef5d-519f-4b68-8556-9dfed2e0ec6d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-15aeef5d-519f-4b68-8556-9dfed2e0ec6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6fd7664e-9152-4296-898e-044b90b8ef06' class='xr-var-data-in' type='checkbox'><label for='data-6fd7664e-9152-4296-898e-044b90b8ef06' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0. ,   2.5],\n",
        "       [  2.5,   5. ],\n",
        "       [  5. ,   7.5],\n",
        "       [  7.5,  10. ],\n",
@@ -1711,7 +1727,7 @@
        "       [350. , 352.5],\n",
        "       [352.5, 355. ],\n",
        "       [355. , 357.5],\n",
-       "       [357.5, 360. ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>246.9 246.9 246.9 ... 259.4 259.4</div><input id='attrs-9edbc9c1-be8e-4b1f-ae54-a17c0fa46c68' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9edbc9c1-be8e-4b1f-ae54-a17c0fa46c68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec7011e1-4fff-4031-949d-d1af58fa3bbe' class='xr-var-data-in' type='checkbox'><label for='data-ec7011e1-4fff-4031-949d-d1af58fa3bbe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>history :</span></dt><dd>2026-05-30T17:19:54Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;.</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[246.86728, 246.86728, 246.86728, ..., 246.86728, 246.86728,\n",
+       "       [357.5, 360. ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>246.9 246.9 246.9 ... 259.4 259.4</div><input id='attrs-00d6a11c-0c03-4df1-a7ef-705fe2ed6d96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00d6a11c-0c03-4df1-a7ef-705fe2ed6d96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8803b6b-a93a-4226-811f-83fb5144f930' class='xr-var-data-in' type='checkbox'><label for='data-c8803b6b-a93a-4226-811f-83fb5144f930' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>history :</span></dt><dd>2026-05-31T18:59:19Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;.</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[246.86728, 246.86728, 246.86728, ..., 246.86728, 246.86728,\n",
        "         246.86728],\n",
        "        [248.9035 , 248.54457, 248.41835, ..., 249.81686, 249.28986,\n",
        "         249.04837],\n",
@@ -1751,7 +1767,7 @@
        "        [260.8171 , 261.04578, 261.01935, ..., 261.011  , 260.5789 ,\n",
        "         260.7901 ],\n",
        "        [259.38904, 259.38904, 259.38904, ..., 259.38904, 259.38904,\n",
-       "         259.38904]]], shape=(10, 90, 144), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-694bd666-68b7-43c6-adb2-12ee7d5065c1' class='xr-section-summary-in' type='checkbox' checked /><label for='section-694bd666-68b7-43c6-adb2-12ee7d5065c1' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>tas_tavg-h2m-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-h2m-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-30T17:19:54Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-30T17:19:54Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/5be8cd5e-35d7-4868-bcd3-e2a00208407b</dd><dt><span>variable_id :</span></dt><dd>tas</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>h2m</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+       "         259.38904]]], shape=(10, 90, 144), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8785f50a-883c-424b-a73f-dba2a5a23f2a' class='xr-section-summary-in' type='checkbox' checked /><label for='section-8785f50a-883c-424b-a73f-dba2a5a23f2a' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>tas_tavg-h2m-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-h2m-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-31T18:59:19Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-31T18:59:19Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/24da3704-0843-49fb-abd9-3fa086d0c1cb</dd><dt><span>variable_id :</span></dt><dd>tas</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>h2m</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 524kB\n",
@@ -1773,7 +1789,7 @@
        "    area_label:            u\n",
        "    branded_variable:      tas_tavg-h2m-hxy-u\n",
        "    branding_suffix:       tavg-h2m-hxy-u\n",
-       "    creation_date:         2026-05-30T17:19:54Z\n",
+       "    creation_date:         2026-05-31T18:59:19Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -1783,7 +1799,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-30T17:19:54Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-05-31T18:59:19Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1802,7 +1818,7 @@
        "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/5be8cd5e-35d7-4868-bcd3-e2a00208407b\n",
+       "    tracking_id:           hdl:21.14107/24da3704-0843-49fb-abd9-3fa086d0c1cb\n",
        "    variable_id:           tas\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        h2m\n",
@@ -1833,16 +1849,16 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T17:19:54.580763Z",
-     "iopub.status.busy": "2026-05-30T17:19:54.580641Z",
-     "iopub.status.idle": "2026-05-30T17:19:54.753016Z",
-     "shell.execute_reply": "2026-05-30T17:19:54.752584Z"
+     "iopub.execute_input": "2026-05-31T18:59:19.099562Z",
+     "iopub.status.busy": "2026-05-31T18:59:19.099448Z",
+     "iopub.status.idle": "2026-05-31T18:59:19.256195Z",
+     "shell.execute_reply": "2026-05-31T18:59:19.255732Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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7e8tfe+01Vl7rejQ3N7NyV3TMaD4qa0Tlemi/aVxbTp8+zUoe0bG/UakoZdkkTQOVRboeXOfieueDjkX78li0rVQe7Ea89957bF3l5eUt46iU2LBhw1iJIxsbG3bdXb58Wa1UkqbtUW5/W2hfpk6dKjc2NpZbWlrKFy1aJL969araMnNzc+WTJ0+WW1hYyM3NzeXTpk2T5+fnqx1zTceoLQUFBXI9PT25n5+fvCPQudfm3NF2h4WFsWNA1+7QoUPlhw8fVlve+vXr2fVpa2sr19fXZ8eU9pFKTLVHWUqLa+AqocbDw8PDw6MNOvTnXhvrPDw8PDw89xJS2CavN3m2SQH8erz88svMq0meUSpr9CBBpaUorJnynUkUjoeHh4eH52GFz1Hm4eHh4XnooVxgClteuHDhDY8F1Z6mcPcHzUgm/vjjD6aszYcr8/Dw8PA87PA5yjw8PDw8Dz2Ub03D9Vi9ejUOHz7MyhuROviDBO0XqU/TflHpLw8Pj3u9STw8PDw8PPeXR5nC06geJwlkkFgLicVQ77oSiuSmkC0K3aLfqZZo+zIVpI5KQh70Im5fwoRES6gsSfsSGPTi1qZ0BA8PDw8Pz51gwYIFrBQTCU1RveQHCRKAo5ByejeTgBgPDw8PD8/DToc9ylQ25erVq0xhkpQoSZmUjGHqiaawNVLe/OGHH5iCpaenJ8txojqM9LuyLic1Nj788ENmTJPCJqmvurq6qhjLZGzTMnh4eHh4eDoDVMroQeXo0aP3ehN4eHh4eHjuX4+yWCxmJS/IGKZyFJSjRSVU6JPKlJA3mYRQ3nnnHUycOJHVOly7di0rF7F9+/aW5VB5h4iICISFhcHS0pJ5qdvy3HPPMQOcDHIeHh4eHh4eHh4eHh4enk5rKDc1NTGRD6VnWAmFWFPOFtVtLCwsZB5mJVQ7sWfPnizcWgl5i6m2Kf3Wq1cvVmuzLVTXk2p1vvnmmze/Zzw8PDw8PDw8PDw8PDw8dzr02tTUFL1792Zh02To2tvbY8OGDcwIJq8yGckEjW8L/a/8TRl6PXPmTEilUuZR5uLTTz9lHukTJ06gf//+HQqNIw82bSuFcPPw8PDw8PDw8PDwPJxQxCtFr1LKqK5u5yv4Q6UGySbqbAgEAjXn6MNGh3OUKTd5/vz5LB9ZT0+PhVDPmjULUVFRHVqOSCRigybIy0z5y+RVPnXqlNbLJSO5bb4zDw8PDw8PDw8PD8/DTU5ODlxcXNDZjGRHIxNUQobOhoODA4sWfpiN5Q4byt7e3jh27BjLM66urmaCXDNmzICXlxc7oERRUREbr4T+JyXNjvL+++/Dz89PJb/5RpAnmXji+/8gMNJsiPM8wIjLAX0jwMDoXm8Jz72iUQw0iQEjK/4cPLQ0A9VFgFnru4jnIaQqHzB3utdbwXMv4a+Bhx5pcRpWv7OgxUboTJAnmYzkH3U8YdTxYkR3DDGa8VxhBts+3lC+CZQe4YqKCuzbt48JfJHKNRnLVD5DaRiTMX3u3DksXry4w+sgzzAJe7399tvMQNcGZbg1GckCY5MOr5Pn/kcHEsjJUBYY3+tN4blXSHWh06QLOf8MeHiRN0OnsYa/Bh5ydKTG/DXwkMNfAzwwVLQHO3NKJhnJxjp66DTI7/UGdA463HVBRvHevXuZK/7AgQMYPHgwAgIC8MQTT7ALkGosf/TRR9ixYwdiY2NZ+DTlBFAd5JvhrbfeYuHUBw8evKn5eXh4eHh4eHh4eHh4OiuUOt3ZBp6bCL2uqqpixmtubi6srKwwdepUfPzxxzAwMGC/v/766yws+6mnnkJlZSX69evHDOubddvTOt544w3mVe4IAiMDCI0U29RRmpvvbTfK3Vx/s0z7dck7UEP0Xh5DnWYdcPUZNjVxb7+u7q31MHLtq74+9xNGKtUuB0XTNnEt10DIfRtLxI1aLVfTueIaLzIVaj1/o6RJbZyOhievvoGuVvuq6fjJGtXHNzfrQN5u2/T0uXtrZU3q82t6fnTkfHMhlaivS1dP+/PdketFl6P3vFku12o6TRho2CaubdB2/ZrgOtba3q/0vJLDCPrWott+DG71mXEn0Hgfd+B4a3sMNC3zVs93R/ZLX0+7e0PabAh9K+Pbem11dFu1XW5H3pv3eluJRg3v1PbodWCZsg4cA6594Lre5BIBdEQC7ea/i22XO/Uc6chytd1fTcu81fk78sy4lXMjF96cPXA3YcZpJ3q16NLhlt3rrbgPDeXp06ezQRPkVf7ggw/YcLPKdO0hw5wGHh6tnzadOLyG5y5A55/vDuXR6/yNI547DH8N8Oh2uKnL86Ch14lCmnnuK/inBw8PDw8PDw8PDw8Pzz2iU3qUeXhDmYeHh4eHh4eHh4eH515BRnKnMpTv9QZ0Eh5YjzLlo+ppmT9zK3m7dwJNucDa5lTdao5NZ8i/u9VcraYmOSUr3/S6OpK/xjVtg1g9P1dTLirX9daRc1BXI9F62g7lDnEe12at7xeuHF+uvOlra9MqH5krF5lzu5rkkMvkkLcbr+m8tM9lJsR13NsqNFJ/bDZyHCtNOc5c97e+hvwpruPdkWuD63rTNreTEBro3VI+Nud9rOG25Nwvjmg57XOUddCkr8u5vfc6Kp/rEX/r28R9XPQ40lDuVH4rF7IO5Ciz53Z7bjFiknIgOXOvdbXP0ebKmezIMbgTubya4Nou2R3Y1o5cR5qWqW3++q2eF0rp07lLubgdoSP6IPeaO9UubOqA9s2tIL87q+F5AHlgDWWehxh6eep0vhcNz91EDh25nK9u8LBzlxphPJ0Y/hrg4a0knvvgGuBDrzsnvKHM8+BB9VPBG0kPM+z8y3m5xocduYw7goDn4YG/BnjQzD8HHnqaO397gDeUOyd8CDoPDw8PDw8PDw8PDw8PTxt4jzIPDw8PDw8PDw8PD889gvcod04eWEOZBFw6IjrTluYOaKJzCkHdohiYjgZVFy4NHi5hID19bvUTrmk1retW0YV269IkXNYRkbL20+roAnIdHei0G98RkY5bWf/11sV1TXbkuHBNayTiPt/aXofGxhqEpGTq22AkVH9kmGqYPymlTG2cvoGu1qJVVeVitXHBIQ6c85dVtptW0gjoywATocpokQaBLQGnaBX3OTTguBG5lltVLUZFQTbkMhlEVrYwNDFjdeZtrYw5hcuqy4qxf9U3aKithq6uHnT09FQ+ddmnLhqbZIrrg3Kw2UCpBgrBGlaHXt7c8l3xv2Ia5Xc6r7ZeQQif9ARbLuHjasG5r1zXfH0Dt8gZl0iYWNJ024VqtH2u0zGS1OtDZKZ6DXRUMEjbbdAoincHarp35Pl0q0JUXNNyPRs0oUlIiuueh0DrxWov5GSgA0OhnlYiY5rSmTnf8x3QwdDVsk2h6bzIblGg61ZFwm71etEk2qXtcjUJPmm9XfQu1FKkrCPtN23FOTsDXNvaEW71ud2R9lNH0HZ+evd2dqjt2gm0dFvgpX4ecEOZ52FGR5MALE8HaG5qhLS+BpLaKkhqqyGpq4K8oQYNyv9rq9h3aV01pPW17EWko6fPjDldPX00NVNnhS50dK8ZfPSpr88+W8fT/7qK+fQU4+ltIa2tRF15MSRVxbDyiYRz5GQ0N0lQnlOPJmkDmqQSZvhZOLnD2NyK4xKga+DuXgRNjVLkJ8fhwKpvUF1apHE6UysbWLu4w87NC7ZunjCzsYNMBuxd8SUiRk2BW3A4mmUyZmBLJGJkX41G5pULKM5MvW3bWpGbjuTjuzD8hc8gsnFAQ50+9A0MoGcguC8aFB1qefA81Ojw1wDPg/RM47k5+GuA5ybhDWWeBw4585LxDWRNNMuaUF9ehNriHNSW5MLAQA9CUwsY0mBiwb4XJV1CzLZf2fQCY1NYuvpCYGIOkTlNYw5zBzcITczZd2tbawhFJqzEUnOzjBl5tI7UtDLIm5uYwcc8mjIZdHWbIadpmskrqvCMMrEd+r1Zhqvbf1Tb3rLkM6gpSIauvhAFZiIYCAyhLxSy9VXkZzGD3tTBA2ZOnrBw9oJDUCR0qKfkmrdU7fqQyyGTSiAV16GxoQ56BkJYOThxTpsTex4FSVcgsrKDiZUtRJa2sLC1b/EOt6UwNRFbPnvjhtdnTXkpGzKvRLHOAfcu4aitKMfA2YvgF9lfZdqj639F1O5NLf+LLK1h4eAGA6HiGOgLDNl3gaFRyzjF8VGM1xO0TqMcV1FZix3vL2TLO/PX95A1SvFvTUVLFIOePhnMBtA3ELDPoXMXIbjfUNyPUMcMz8ONjj53FAnPQ4Qu/xx46NG7xTpzd6uOcidquup2fqHwuwL/9ODheYAgo0dcVYqGqlLUl5dAXFUGcWUJGqoUYdDNskZU5iSrzWdm7wpTOxc01FZCUlOJhprKlt/Iq1xfUQz3niPg2bWn2rwiDaHXhmbQOvRaGT5l6R7IDFl9oRFqqmVqxiiFXssaG1FfVYa6ilLUV5aiPCcdKWcPoTQtFuYu3jCytENFWgzKUmIg0yODuhmN14ximUSMRokY+gZCGBiJ2FBfXowxr3/DwpJz4y7CwNAIIgsbmNrYQCgyQ178JVQWZMPBLxSyRglbLxnZNA0ZzybWtrCyd4CptR0eeesLFKQl4tQ/v6vto7WrNwL6j4J+cwPEtdXITYpD6KCRCB8+nrNmNDFg1kI2tKVO3IiynHSkXTyB3PholGbdvKe5trSAGdNkHFPnBnVyyJoa2TB49pNwCwyDtbPbDZdD56woMwXl+TkwEBopDHdDQzTrCtj/9J0+9XjDlYeHh4eHhztHuTMZyvd6AzoJD6yhLJXIoKMnu2F+xq3mk3Atl8sYuB3F2rlzPHS1z1WDdrmwdyqXhIuO5Ehz5WhrWCj0KIewXa62rEl2S7k3Hcl5N+DI5dW0DK71i4wMuee/dhAkddUsxFwoMmVGyp/PT+Sc3s43BEKROcxsbFGWlcyMwO5TF6AsKwVl2amoLs5n0wnMbBA08TmVecuLKtEkrkZjvWIQN5qgkSPPK/FqKoqTLsIlfDD0BK3bXV5cqzatu58N53bmxV/B5Q0fc/4msnWBnr4A9eWFuCipZ+PM7V2Yd5WMVZGlDbx7DkPS8Z1orKvClS0/oqGiGAKBALW1qtvQdexshIyYzLysSmL3b8Ger19lxqJrSE/IZE3IqihFXSUZ4mXME06Q93rkC5+iSmrCvNiS2gpIqsvQUF2KmrpaFOXGMMO9rqIEAmMT9H/+W2Zocz1zjABYdZ/K/r8UX6zx+WRuqp5fm5tThRNfL2n5X9/IFAaGJoqQdha+3jroKkPadRS/lSZf4FyP0MiYedVNLa2ReOEU3INC0W3oaBw7l4eqswdQmXkVTdJ66AuMYW1vCQF1Mhgas2NWlBaH3KvnITQSwdrVi4XFN0kaIG0QQ08uhUQsRnV5KZqkUlg7OmPBN2s4w7uljTKt8p4NNdxbRu3yUOnZVi8zhLm1sVZ5w/oczzcDTboGHI+MOo7tJ0Rc+e9cOcYa8ji1Xb8mGjuSX8qxDU2cOcoa8o45cpe5nhkdWr+G+bmemxKOc9Ckp8upQcCFptxrbd8RXHnPHUFTjjTXMeiI5gbXe4frftOEUMPx49oGrmOo6fhxXRtc82vM/+dafweut47A1Vbiulw6a/vpTuVOa9JT0RbZHTgGXO9TWSfNHefp/DywhjIPz4MEhSqXZ6eykOj8hGhUFxew8WQk2vt2Qfj4eTC1dYKxhTX2fvN6y3zFKbFqyyrPSVMbJy4vwqWNX6EqNwWNYoVx6T38KVj7RkJoZsv+J4OcDMHKvHRkXTyMgjhVo8vcyRsWrn4d3rfzaz5GaeoVjb/XleSqhNK6dukBczsnZESfQl1FGZwNjdBQVwunwAgMfPJtxfGS1MNQTwY9kRmK0xJx9fAOpEedRMx/6yE0MUXQoHEtywwaMgE2nkGwdvdtEbdqS2NDPTOYaTC2tEZVkQS6+gYwsrBjA+HgaKo2X02dFHeK/q+sUd1GKXedUANB6yOePMZkKJMB7TNgAsydvSCysofI2gG9unqgqrQY6z95G15h3eEX0Qtbv/sIqZcvwdjWFVYeITC2dkKTVMw877VlRey4kEFs4+GHEc9/AhtHp5brhIzlxgYxzHWqcWrHZqTHNaDnlPHoPW4yGu9mrhifl8bDp6fy8BcBz30A71HunPCGMs8DyIPTc6jMpz3881KUZSW1jO877yV4dB+AirxMFKXEojAlFnGHtsHE2h6BgyfC3MEVZzeo5/tqoq4snw1tSTvwKxvIUJZUl9xwGRfWvI/Br/+m4q29HlX5GShLj4WuvgDmroFsPgoNl9ZVQVxRyLyghhY2LIe4SVKPhpoKWDu5wdTGnuXb1pQWsuV0GToBKC6Cg5+L6grkcmb4OvgGs4Fo5HABkFfU1jNA43aS59TcgQbXa2MkuB8h7zIZ2JY26h7WwoxUrPvgNdRUlMHM2hZmVjYIGzQSlpFzoS80RvLelciL2sdCz5ubVDsAMqNP4OLW31TGCYxFMBAaw9LGGpEjx2H6y/8HgaHiuiirvnvH71a9HXeLzMR4mFnbwMJG0SmlhKIbSvPzYO/qfs+27b7nPrkGeO4gcv4aeOi5D64BJojaiTp3O9O23Et4Q5nngUOHRKJuMQSuM1CakYgD37/J+Vv25TPwihzM8l5pCBoyieWXVuSlozA5lv1O+bcmNo6wdvdDXVkRCpNjEDHhMZZzHLuvVSBKiaGZNftsqFYt60RGsoGxOcxdg2Hv5QWhiRkLKaaQboHIFNJmIcsp1uahuv/j+WhqqFMbr28ogqG5LcwcvWAX2BtNEjHSDv/JvMkiGxeYOXrDKdQFlhaGLH+WvKOzv1jHBKcoDFgsaRfARSWRmrm9rDzq1FSWo9f4R+Ab0Qv27l4t5zL/RAb7FFcWo1Fco7VBPu/rv9ky/Ny4y07dLShEvjNABm9OShLc/YPY/+u/+4J9mllZs2fV/r/XwcTcHM3NzXDzC4CbXyDc/QJwdv9uXD17EoMmTUd5cSFK8nLZJxnVzl4+cPbyZZ+uPv4QmZnf473snDCxQJ4OQRoMVHWA3ht1FcVoljbAp/cIlOemQ08ggJWLN3vu3jfw7wKe5lsN8uZ5WHlwDWVS023TkyyR3nq9Xm3nv5XpOoq2NYDv9rq0rQ2sKcfmljxBGnoONeUNc+2DtrnEmubXOC2HMWlqIuBcJlctasI7vBemvPZRy/9JWRWt223lBpdeNIyFSKiH8pxU5nE2t3VkQkoUDmvl5g//geNRkHiJ5Sjb+YXBNWIQDM2sUFdWgKzzB1GRrSr45RAQhohpz6EoX2Es0d410CAGvH1U846p4U8Gipu9LX5bMr1lvL2XP6eRPPXNz9FzQF/V4yeTYZ1IyLaDShaR8dVQXYRLp8+ysF638H6obZBDoGuA+lopZw5dTl41mstVz3lTI/cx5QpdFtdxG1kNYvXxmUnqHvemGu7Qaz0O8TMhxzVACATq+2VuRRnO2uHkrJ4jTWJg7cmV2ANO9kgoBBIKs1vG29qbsM9hL3yK1BO7cGXnas71jJg+B6PmP6s2vqh9fevrPDNMjAU3zDsmDDXUiRe2y0sjoxMCfVgbqS/XmON6MeU41ob6mnJWm3H54kUUFxaitLgYV6KjEXX2bMvvr3z2DTKTkyBtaMDwabNYiPrXzz8Jr8BgTHzsSWQnJyArObFleupUcPHwwtWL53D17Ck2ULmufiPH4uXPvkVmUgICu4TAztkFFtY2iDl9Age3bcKFg3vZ/GYWlvhpxwHubeWqF6yhI1HKkcfHVcNWU95zU7OuVjnObF0c92JH8rS5clENOJ7b9CwXcpzbjtQhbtLwLG6ProYQX673QWNH6vV24J2u7bR6aEZ+4iXUlhaipqwItcwwLkZ1aSHTNTC2tGODkaUt0o7vQNLJPbB08WaCkZR+Q1UPhi1eClNbR9X94jgvHXl36nNoqXQkd5xz/3V0tDyDt46mdgYXjRx15gk9jmdcR7Rv7kROuyakkttfX1pT+4+zRneTdh1hTe070zshfOh15+TBNZR5eO4BDdUViNr4AwyMTGBoagmhmSX7NDSzhNDUEiYWVuw3bbyvDn4hmPPt5mvCSPU4sOwd1JYVo6q0EBs+eJn1+kvq6yCuI0XnelZeScnI/1sFU2Nb2Hj4s4FePCJreyQd3YGynFSm+kwhx2Tykupz1IZvIbJxhFv3IQh/5BlyyKJRXI3cmJMoz0xETvRxBI95VFGjmjyQhWkQl+Uj/fAfaDUPrk+f6U8yQTZpvcJYpnrBJC6mNK6rykpYrrGsqYnVJCYVbmMrB+YRKs9KREHsabiF94ff4EkwsXa4qfPDc/N49x0NS1cfBNvr49yhfUiIvoDuA4di2NQZcPb0RpWGRt+DSFlJCT58803U1dZi/COPQCpRbS1uWrkcto5OcHR1w/89PhO9ho2EgUCIwROmYOvvK1CYnYXg7j2Rl5kBSUM9XLx8mZHcFk//QIjr6xB14ihMzS2QmnAVezdvQE5aCpzcPREY3g0T5j0Bv5AwWNrYdkjgi4entrwIV/ZsREV+JjN+SYDQNSQSXgOnwMrdnxnCyvdUl5EzWQqMEnqfHPzmJRbZo4SWc/6fXxAwfCbM7JxRmpEAY0tbWLn58gebh0cLeEO5c8Ibyjw8txGByIwJPRUmXFQ0Iq55SMwcFTmGVHqJDF9Wg9jMkjUiuk+Yy/JgOW9QVgdXyMKd+8x+HoY6Euz44UPudRubKsKtbZ0hratGc7MVy9EtSr2KY6s+QcCAcczQybl8GuKqciaMReFztSV5bP660gIk7P2LDW0Z+vJ3MLW/lv9bVcU+4jZ9otXxGPvC+yolpZQeHzKI81PiWCmlwrQkFGckMUPC2NSMeb4ppLq6ofmaarM+RDZO6PfsF7Cyt9dqvTy3F+rIKEmPR+qJnbhcko1BE6Zg3ktvwNTCspMf6jtjPdra22PN9u1Y9+uvOLp/P+YsWIA3vv0FcshRkJ2FkoJ86AsEuHrhPCKHDEdlWRkapRKUFhbgveWrUV8vhrGJwltfXlKEuAvnmB8t6colOLi6wTckDP2Gj0FdbQ1qqipRW13FcrynL3wWngGBMLyW781z766B+x2qHDD29a+ZUGRNcT7KczNYaHX2hYOI3bEKjfW17HrW0dFl7xFSzWef175LaquZIUypMFf3b0bKqb3s/XN27ZcsUszGMxBVhdnMAPfuMwbOIb3Yu/HewF8DPDw8NwdvKPM8gNw7AQIKWesx52XkXTmLS5t+VOmBpzA2W69gGJlbMzEqErEqTY/Drs9fRJ85z8Pep4vG5VLPvmNAGOwsjfBqzwGoqyxD1N5tOL9zY8s0LhEDYevdBTq6+jjy3ctsXOiYOUg5uRs9ZzyDvLiLbCDvga6BAPr6BvCMHIKEw9uYIe/RayQT2Mo6pwjh7P3E27APiODcnl5LFOJN1BngZKuHhCPbkXR8l9p0Dj6B7LO+qgJpUSeZQVyYloj66irYe/rC0TsAoUPGIqz7OzBpZ3QdjVIY8DcPL0Rxq9B1mx19jIVdU/iiT/9xWDj/exgIuEPFOxvUyL9TmJqZ4ZlXX8W4qVPxy7ffYts/m9F3+ChcjTqPuKgLLHTayc0D2WkpLfP8u2YVG77bvp/9f+7wfvy7egUqSktgbmmNoIgezBNNHuOA8G7Q7UxFNe9T7uQ18CBAxi8JFdLgSQKR1ZRUo/oM0NUhzQcZK5VHhjV9J4O5uigXJ9d+wzp6e858BjUlBagsLoDAyAQNNZVMI4MqL1zY8B0KE/qjx+wX781O8tcAz30gTMV7lDsnvKHM88Ahpx7ve/hQJPVml/ABKMuIZ55jM0cPJnpFuTQNlSWoLy9CeXYyE0uh7xQ2vf/7t9Fl5HSEj5t7w+XTvplY2mDAzCfh33MALhw7gZriXDRUlSHrwiHWmLH1CWX5xvUVJQgbNw8Jh7ejobaKrculSyQc/MPY9uQnRsPKIwB2fuEwMrdBcXJMy3pK0q6y0kFGFtYqYXdKsk9vQXlaFBKFBqzBpMTIzBJOQd0w7PHnYCBUeL5KstMQf2I/ynMzmYfcK7wX7Dx8YOvuDVs3LzUjuW0jjYxxylPuEDo67DrguTWyoo4ietNP0NHTh9DYFFkXDuNvcT6cPbzQbeAQmFspBOA6Kx2+bm4CN09PfPLDDzhw+BRiL5xlRjLR1NioYiQrWfLh5yyUet8/f+HIv5uxeOmncPH2gdF90vlwv6Fzz7yYDwbkHdZj9cxVj2NtST72f6nokDWxcUDcwa3s2W8gMoeugQFM7Z1Zuo9X7xEwd/SEoek9FPbT5Zu6Dz33wTXAG8qdEx35gyAP3Ibq6mqYm5tj0a9HWcjPnRTo0oS2Qla3Y1ou0QRNQgza7pemY8UlENEROiIQwTk/e1njhgIw8vpK1NVJUZQai4bqclZaiFSUZZI6SGqrYGxlzwxXgbEZXCMGwtJGVYxKkyCJpuPHJSDDNb8mURKdRjELURNZ2cHYQrEthhoEQaSN6oIUIkPuaZViMWRo7vr8ZVTkKRSMlcY8NWLMbJ2Qc+WMynwWrv4IHP0Yiq8eQ/rZg8x7QB4DMpotbO1Y7WYaV5SWiOFPvwUjQ4FCZVwuZ7nUtm7ezLMukapvq7FQF+X52SjKTENxViqKM9NQlJXKQsCrSxTlnrhY+NmP8OwShvwSdTEwoqRCVTRKLhVDIq6HjrFq46y0UFEjuj1lxerj62u4yxhJStUFquQc50VWzy0GZsghsCXXcM/pcYhZ6XIIURlwTEeYW6oLf1nbqavVCo24jYmGrEtIOLkPZTkZqK8qV/nNOziE5SgPnTIdenr6KOA4XlzPEgGHKA0h4tgvYy3HcYlxkeerrigBrh4u6uvSL1XfLl31a0vOISxEiGXqjf66RsW9e+zgESx9TVHPuy2W1jYYO30mpsx9DOt++gGXL57HB9//BKt2JaG0QZ/jWaRJNItLIEuqQRxJItNuWk3zc22DpAPTcq5LgwAfFxKO+7A8JxPGdi5aiXk1dCDPviMCXZwiRFzjNDTHNL1PuNAkfNUeLgFEQsxxDDS9+6X1YugJhKzNUlOUjcrcZFRmJ6EyN4WFZFMaUG1xDnv/Glk6sFrs9sH9YO0VxubnKlUn5XhvyDjOK6GnYR/UqC6EroWq6JgmOtJW5BKo4mqTEeI66S0JbHE9yzVu1y0KFnBtF5cQqaZrlmtajQKCHOe7I9vFta9c14u0JBMrXnoEVVVVMDNTfwd3BrvlgJsPRJ2og7+uWYbh2amd8pjdTTp/FwsPTwcgNc78CweQFx8FM9cAGFs7wsDQBOKKEjh1iYTAxAyVOalIPrKFeVAdgyM7dHzrK0tZyQxbb0Vd3tsBdejYegUxY5MGpTc87dxhVqOWvHl613J15Tp6zAilnvvgkdNZ2Nx1t7eqHHlxUUwYzNjcEnnx0TAyt8KIFz5jIdjVJfkwtHZFk1QMu4Ae7JjI5c2oLcqBe8QAFCVfYV5o6mCgY0uDEjKYU88fQ/9pj2m9r5R/TB7kP5e+yMTIlDTUXr/0kKmlldbr4Lk9UCeTjasn+kxbgMaGBqaMW19dAVN5PSrLSlm48PbfV7AyRv5h3CH6DyMDhg7CT3/8isP7DuLIgUMoLy2Dg7MLnn79bQSEhOG7999FdUUFvljxe0ueMk/ng57F4qoKVBRks6GyIAf+/UbA1p0Xp1JCKUSkh3Hy59eYaKWFqx9sfLvCZ/B0GFnYYv+Hc1qmrSvJYUNldiKsPLpA39AYoeNmsVKDyg5detfU19SgqaGepRVTNJamyhg8PA8avEe5c8Ibyjz3PVQuKO/yKWSc2QupuBZ+vYej5/z3oWdsjtxLR5BxcgcMjE2Rcmwb7P0jkB19FJ69RrIe77jda2BqZQcH/66w8wlpUWFuT97Vc0g/vQfVhdksDNmjx2AEDp/e4RDvktRYZF08AjN7V1QXZrHGgqGxiHlsCxKi0VBbicGLP4ShvT3svIOQE3seWTGn4R7WGxaubiy3l0RUru7biOQT/8HeN4S6T1FRkIPasiK2jvAxM5loStSOdWrrJwExEhM7+OM7cOvahxnojQ11yLt8HEXx51FfoViGkvBJC9i+GgiNIK4uR3NNEcrzMlGRn43My+dgYtVxbxix6Pu1KM5KZ7nW1WUlOP63IudZyein30DkkCFMTIaOT/vzTV7pstzMa50GFmiQG8LQ1JzVdqZxPLcG1do+/M2LzBNEHSJGpuYQGBqxUGYrM2MmtkZliroPGgqzTtyJcS8SMOiZEBwWwoZnXnkeF6JSEHPhLP75fSVSEuLQe9AQvP/9TzAw4EOC78r5gA7zeFYU5UFcU63ItZXLIWuifFtFGUm5XIbmJhnKCvMVRnF+NioKc9hzz9LRDRaOrux55xHeBw8rdMzKM+JwbvWHsPEJg9DUAlTEUFxVClvfcIRMelotIm7YW6vZM6SuuhYyaQMbLv/9CYriT7Hfy1KjWMdsE9UZ1NFh70F9oREbyHAm8Uv7wB6w8+8BS4/AG3YMa6Zz56cqAzvvZcoYDw8PN7yhzHPfQi/SvZ8uZp4vJQbGJizUq0EsRebFQzB39kG32a/D1MEdpSkXUBh/gZVFSjvZKjxFpmFdRTHObfgBFo7uzGi29gmDpbMnEywhKHe3PCsZ3ac/Czu/UJxc+SHr/Q4aMQMGJiaIP7iVhU9bunjB0b8rjG3VQ/0IaqTlXjquMs4pqDubz2/AOKZGffSXpRj98mcwtXHAoCffRElGEi7t+hNpZw+zBoSBkTELnZbW1yLn8hmMev4DlOWk48K2P9jyLu3+u2XZ1m4+8Ok9HE6B4Ug8tgvW7gEoyUiAa2hvlGYlIfX0fhjZuqPPok9ZznJ5ZjwTHavISYKBrpwpZsfu3cBKNFG+tbmNHUys7WBqbYd+s56Gd48BN3XujM0s4BES0RIiKxU3IOXiSVSVFMLRJxCZVy5izy+ft0zvFtAFInMLFGRloq6yHJaOLrB29mCGtLi6knnoqFGlUGK1gUdYb9j5hsLEvbXECY/2kIL60FeXIWXvaqRHnUJdRWuocg6AZTsPwdjEtNMf0lsNQbxV9PT0ENQ1nA2zFy5GY2MjM5C5Qqd5bh/11ZXIS0lAfkoCKrPTkJZwlT0/jM2tmIeSiaTp6LZ8J8Ev6jiVyZqZhgLVBrZ0dmeRLjWlRSjJTGaVBxx8b18k0b2GNDJ2fbSo5X96vlN0E3UeUAUEUrR2DOmNurJC1JUWor6iuEU9ujT1Mit36D9sNjN0bXy6cq6DOpVpkOu1Rk6EzniTvU8ExuawcrS6Zhwbt3Rwtg3FJSM8L+YEojd8CT2hIez8u8MppB+sPBQikVojv1tVlDtmHFcXZqIo/iyK48+y42gXEAn7wF4wcfRGWVoMkvevYcdPZOsCaxcPmDq4sU52SoPiO4Q7fMDR2SHNuc4UQMG/pR70HOVVxyFsk6OsCepVvt05ylrnzWjKBdGwfm23S1MuCRea8kZuNW9YW7jyewkBxzFs3+htlslwat23sPPyh5N/GMzsnJjxmh9zElXF+fDtNxLWLp5sWrrML/63CVHbFcZkW0KGT4GFgwtcQ3qw8DoKT86Oi0Z9RSlsfYJhbG7DSilV5aaiIDkWDr5d0H/uEpzfuhqFqfHM0BOKTNF1zCxc2bsR9j7B6DfveZV1nN24AglH1VWhlUz94DdmgBKx+zch/cJxDH3uI5U8+/bHm/Z/7zevw7//GHj3Goq0c4dw+s/v2W9BQycj69JJ1giRSSXM6KbjY2rrxGpcUgORVEnJyJTUVrBPNlwbR8fR0MSU3UM1ZSUwNDFjL2o7N0+EDR0PEyubG15vXPmCmq5hcxOFWFhlcSFTTa2rqoRcXI2Lh/ai/4RHYOvqjtrKCvh4e8LO0VmtkWCor9dynrPTUnH20F5cPXcGDVIp+g8bjv7DRsLNyxv7E1Q95kqS0srUxlW1y3tWkpOgnt8qq1XPz61Lq+CcX8/YQKtxhC5HrroORw6csas55/xcOYBCI32t8t+yzu9D4t41qusxt4SOvBmyxkb8vOsQC6VXUlKvnoPHuU2G3PvKlXtsxPF8MBFwP7PMBaoq6c2yZuSlxyIwUL3mtm6zqrLvtRlwJ5R1ZW2MBCX1Teridc3yW/Mwa8qnbparj5c2c78bpTL1/PUaqbqRUachb7gj+cyacpfbo6mvo6C8nn1SzfXirDQUpCQgM+EqM2obG8Sw8fCFrWcAHOzsYBMceU0HoQA1pYWsHn1lCX0Wse/0SakoFnYOMLdtM9g5wMzWAU0CcwiMVO+lmrpGrTQkCCOO+5grF1gibtS6w8dAg45FQ72UhS5LasrRUFMOSXU56spLIa0tZ+PoeU/fybvbFt9xr0BgYgVduRixGz+CpWcYzF0CYGhhB4GpLQzNbVmlBnrG1hVlQN/IFPrG6mJ+Mo58Zh0Nz30u3RIjkaqoXW1RFqLWvtvyv7mTBwY9/yXrAOXSnOBal35tPhqNHbXSdtCkpcKVp82Vd2wg4D4vbd994ooixG75CnK5Dqz9esLKpwfrrClPu4jy1AtoEldDz8AQAWMXQd9QhAu/vcHmM3XwhKxJCkl1GTsfRlbOsPaOgLVv9xtuA9d5IfQ49tfUwvCWNGY6kqN8Jzo4ueaX5Cfjpxemd8p8W6XdctTbByadKCKuVibDoDQ+R5n3KPPct5Cx1P/xV6Gv3/pQ1jMwh2tIJPxMTKBn1NoYTDp1QM1IpnIYskYJUs4eZmGl8Uf/Q11FCRpqq1umyb2sELoKm/A48zJIxfUoTLmKs5tXQWRhDa9u/SCVNLBtKU5PZAZEt0lPqG1r2OgZzBCnHGDyWFCjbMenzzMvrm+fEci6dIoZ3GT8VuZnQlJXA3F1hZqh3H7/+857Ebu/fIX1RjsHd8e8ZTtafo8YPxvxh/9lnhAzG0dUlxagqigfBclXWA875TmTEqmJlR1sPfxgZGrB8obtPP0V6qXXDBcWtliQg51fv43MmLOwcnJFYN9huBNQQ5UGwlIkQP+J01R+t9QgXKaEGk/uPr6wtbPDhCmPoLauFscP7McHr7wAoaEhHMP6wDdyACwdXe/I9j9IUHRBe6jMl52zC1O9bmsk8/DcC6L2bMWxDSthYe8I9y7d4BoaiYgJ82BiY98SSSLOTmTP+MTje1gUEuswtHFgkTPWrj4wtbFnQorU2WlvxV3PvrSKu9PsXkNGK4U2U4do9N/foKYwm0VY6RoIYWhmBaGpFQzNrKFnaA5z10AITCzZOPqUcGsVwtBIH31e+F2j4cGqLjh4se9NHRBau9n90xMaIWTCE4jdsZqN6z77pfs+SkhgYgFTB2/UluTCzDkQunoG7D1r5d0Nll4RkEsqYGBkwjommpsaETbzbRayXlOYAQGlF+kLmEgpvfeppjUPD8+dg2/p8Nw3UCOHjNhGcR0z6KT19FkLmaQe0oY61vghby6XXyag3wg4dumF2nLyHhSzsDPymlLtYirRdHzNtyrTUyi0oYkF9IRC1JeXIG7fRlaSycrFE57d+sLY3JqF8rD8KvKMXBPiChw0jjW42kN5tM5BEWgraD7ry7+ReuYg82Y01FUzw5dysBz9w9Bj5hJmUN8IMvaHLfkQV/dtwqWda1mYlo27L8zsXVCRm4bitARmKFO4eeioaXDwDYGdVxA7lmxoaoKOXIaGmip2XKJ3/sXym61dveAcEAozGweWs1eUlsAMd+LE36vumKF8O6HGlJdfABsee2YJUhPise6f7dj+1f9BaCxC+MgpCOw3/F5vZqclZOLTiGusRV1VOQs/JdxCusPe2gLWdnaIOnEU3foPutebyfOQQoYFCQMamZqhtqIMoUPGQMfMARlRJ1GSmcSew/RdnJcKI0cvDHjsRdYhqDSyNClU30+wd9eyl2FsYYe68kIMWPIN9Awt2DO8LRIxh5q3RLsIkLsJvU/rSnJRlUvK2Unsk0Qsbb2D0HXqYth4BbHazPc79J4mb3FuzEmkH1Z0ALDrUkeHeZZ19XSv/a9IC6DxZs4+qCnMZGHqXWe9xULfNUUg8NyfdDoxr/v/EXlb4A1lnvuGi1tWIenEbhhbWMPUxhEGRiIWTmcoMmEiXJnRp3Dun19haWUNK1dv2HgHMQ9veX4myvOyWS87eZtdQ3vCLbRny3LlUi+ILK1RU1LIlH0pNK+uuhomto6wcPJgA+UFWVpwe3dvtsFFhnDAwLGcv7UP4WuUiFGamQR9Mqb19FjuNBnV1Juspy9A+IRH2cuUcnQrCzLRUF0F//6jMXD+q+wY5SVcQvLJfSz/jBoeNC81pmhZ+vr6LLScxlNj0j2sF4ozklh+cn7SFVg6uSF87AwMdfKAjUOrp+Z+grbZNygYjr7JiN69CaSxfWDlV/Du3o9FEzysNDXUUmgCdeWo/VaScgnSBrGKgE527EVkX/uemZzY6Q3lByuxiEdcW4OUy9HY9MPnLD1DyZhn3mTRPnt+WIKKvEy4hfVkSu0uXbojYsBwmHoEPZAHj3JVe83/Hy5t/BaWrr7sf6nkFlMI7iKk2VFXko2aghTUFCSjMlMR7aQnNIaZgxecI0bAOWI4zK2EaKyvZXnTN4POtdzqzvZOsvHryYYbhZ9fr+wUz4MDRed3JvmKzrQt95IH1lAWCPXYcCOaOB4+Hckb5oJrWo01gO9AvTu9DuQ4c+WSdKS2nya48lm4esr0NBhdXNvQc9qTEIpMEH9kJ/rMXgwLRzc2vqhUkavmDCCQSnrkJ6OhLA9Z8VeY6JW5oxuCuvRh4le5sedxaddfLNzYOSQSPn1GwcbWCq5B4SrrEnM0NmQaWt1cuUsijjxQQtLczHLoqKbxmfU/Mq8HeXsVhqrik0pB6QsMmAd79LPvsPlSL1zAub9+go2rd0uINvW+y9t80niqRdwoacDgx1+AQ4Aib0kqbYaxlRMcArqhIOkyM4DJK29gTB0NJkyga8TTb7Lc5NqKUuTGnkVteanCey+VwMLBDVf2b2fbZmxqCqGRiHlkaSAj3NzKEl7hPWHQzgNuy5H32qShU6GGI7+1qFI93LFCQ/5/+5qg0roG1NXUwljW2pgmwgM9UTFyLPqNmYBda3+DTkEiQgYMhp2leshldGIx97ZWque3VmSrXy9CjnrFmmomNxRw13c2claPTtDlUEs2t+I29qvK1Y+hi5OE1TeljpqL61chP1aRXjBw3CQc27VdbXoTc3OE9+mP1LhYNDU14v9+/QtGpqYwNDJGrbTpuvnE+hw3vaY6yFx1lLluI0O9Ks7529dBlsmboY9G6Mo4wmYbG7QT/NFQ074jFrge65ZRxVSP49rSU28ca3xwcuVDaxIs4nrEaohWqWlSz+fW03FW3yQd7uebuKkD70mOZz9XPnNqvuJ8R+/ZjDObfmfPu/bs/vmzlu8eXcLx6DufQP/afZKblAARh+HBVUe5oprjumjzjrlhrVYNNWHrON5nXF5e0g+glIeGqhKWFkRDc6MUUrEYzU1Sxf/XPpW/NTdK0NTYiIrsZKSePgxLb3XDq6JMffvlGp7FrYlHN66jzEVb1WslgjZ12mn7q9JOor4wEQ1lWTAQWcHA1BYGIorSUsxLUWIVWVeho2+AvCjq4KVtlcNr1KsQmtmyfa4vzYC4NB0NVUXQ0xdCV2AIPQMjQFfAvuvo6EHk4AcDYwsY0fGSqceaG0gUzxwKY847/y/qSrJgZBcAE+dgCC1dVDqFTc3V83YbOc431/uBsHM207p+PRdc3mMzjvcWm7ZBfVpDIw3PFw64cq81dcDoG6g/i0SmQq1znLnalRp1em4h95kvM8ZzszywhjLPg4e4poIJbXlE9GEeZS7oxWZs5QB7T1949h2t8huFGlMul66+HjLOHWZh2AWJMRBXlmD4ordh6+GrqJ1ZUwkYmLQ8WMkAbRTXQ6avywx1gozIqwe2smnrqyqZ59oxoCtTk6YcOC4kZKgnx+PQz++3jqurQeDg8QgdMZWprqadO4K4Q//CytkdwYPGtExHKtMkKjP6hQ84hc/EtdWsEUleleFPvQ7P8N4oKalk4diFiTFM8MbBLxT2fqEIHTMXQlNzpJ7agyv//YmqgiysenYqWxblJ1P+Lhnplk7usNbTx/F1PzCDno5fUJ+5zBCn0HdJfR0T+sq6fA4HVv+IXpNmoevQsax00L1GEb6m/nhz9wvEE2+8x753HzQMF48dRHgn94reTiqSDiB963+cv0WfOApHN3cUZGepjK+tqkJ89AUYiUzQY9AQWNrZ435BIODz9x4EcuNjUJyRzGkkU4cPPZ9IMyKkT3/0nzpXoWp9DTK2bidchuDtJOXAOhia27D3mK6BgIXpCs2M2SflprJPGvSU3wUKQ5E+BUacxltngN6tJVH/oCpNURqK0NETQFpTjOYmCWQNChOdRMIoj9q15wRYeYVDXEERXhLUl2Qg48D30BeaQFJdDCNrV4jsfWDmGgI5KZY3itHc2IDG+go05OWhriARQktnOPeeC4HIQJHP266DicaVJp5G7rltTFDLpecklKRcRv7ptZBJ62Fo5QodPQMWwSUwFEBHV58dY6eI0dA35Gug31fcB7ncfOh154Q3lHnuCygE+PCqLxE6ejoCBozROvyXDMf0cweRfekUKvLSmfFLDR0Kpyaj0drdD0mHtiDx5D5c2vMPClPj2LKpVi+pQ5s7uDHhLVKQJrwjByFy2pPMWIw/vAN95z0PfSNFT3F+3EUc+vk9phQ9/pVPmFK0EsoB/veL15mhTnnFlCOto6fPFKnJo0zh5CSUlH7xOJoaJawcT9Suv5GfeAW9pj4Oczsn5i0mr++Gt+czhWwyaiksVk9PFxmXz8G/12DM+mhFSyhx0vFdaKiuwKBF7zK1a7Zf1zw20VtXseNCQiFtCR02AX69hrDvymkpL/Xwyi9QWZyHvb98zvKTKWSbjHPaJjL2yWg+8PsynNvxD2b+3+cws7EDOLw4nYnwfoNwbOdWvPf4DIQPH4euQ0ZBZGaBB5na7Asaf/v8r60QmSo82BSin5ueioa6GtjYO8DSxg4GAsX5rOTwVvDw3AlyUpPw4zOPt/wfOWkeq+lNJeLiju1hz0OKLOo2fjZcu/SAm8OdVbMloazTv74DaR3VY1YYXiz9xUAAYytHGFs7w6FLX5i7+LHpSWjr0l8foccTH3B23HFh7R3GBKw8+068rjePKzKlM0EloOoLY1GZsAcix0DmRSZM3XvA1C0C+kYWMCAdEIFI5X1u3S4Sx8jSAU06EgjNHZh3WFdgDCMrF0X6EUdEYFMj1cSWoiz+EKR15cg/twHV+k0oLS5s8VjrGhhCTyhiIdlCMxv4j3sRxjYKgUcdEw/YhU9EI6mEVxWwGtsUIi4U6qKpoQYV6dGI3/opAia8Ch2B2R3rVDj+1WPsu5VXGATGZtATmsDA2Ix1JNCngZEpBHr27DeK9uK5/+EN5c4Jf3fxdGrohXH18A5c2bcFAxe8rlUdS0ltFUqTziM7LgrFqVfZS9jSxRuhY+bAwT+MGb9tywuJS3KYsecTORD95jwDYzNLZCVcxaGf/4ey7FRWu1hJSWYKtn/0PHpMfhxm9s4wt3eGmaM3+43qJ0dMXoDzG39GwvE9CB8zQ2W7bNy9kRsXDZcuPdBrxmKIrGyZQJa9l39L6Z0pS5crPBYN1bi0bytKczLYb+TJZvnWeZnMiKcyViaWtvDpOQi6aEbo8ImsrnDbDoKk4/9h5EtfwMRa3QOYH38REVMW4sLGH1vG9Zr6RIuR3BZSwCajvr6ynDX2ijKTWc53W0ysrOEZ1gMlOen49aXH4eLfBYs+/Z7luFL90s4IhRRnJSey73t+/wn71vyCSc+9ATNrW/h0VS238aDgMvQNGIqjWD3xipwUld+eGTcE/UePh39YOBtcvX1hcIvl33h4buXZn5fWeo1au3oiZPBYJox4+PdvWZm+yMmPM9XquwFF1Fza+B08eo2GV7/xLPRamfbSJG1AZU4yYjZ/D0uPLi3zUMdsbXE24nYsR8jkJS3jKYop+/wB1JXmsOWaOnjB1NEHNp5+sA3ogcsbv0RDVSmsvUNh5UHvvBsLO95ryDhtKE1FZdJ+SCtUo1KM7H1haO0OU/fuzMC92VKcJk7a1U8mz7ttaGtEmWFjGRz1Rci/uB1liSeY55kGggzPJolq2gZhYGLFhrah13GbP0JdcSb7vyIzBlZ+A3C7yIvai/SjG1S3wdiU5Wk31lezco70WV+Wh+J4RacDF1Rrmjo6Caq/bO7iD3NnXwgEvAech+dm4A1lnk5NTuwFnNn4KwyERjiz4ScEDhoP397DoMeRp0nkxZxA1tGNsPULg5mtE4qSryB88nwYmlrCNbQXZ54KeSPaQx7b7lMXQAc6rCwUqWPr6jSz+Uks5tSfy1BdlIesmDMIuWYoE2SUBw6eyDzLoSOmMG8xYWhqjqFPvo7qyiqkXziGC1tWMYPXp/cwFlJNRjJx6i9F3rK9qweSTh/G2BeWtiybcoL3/LAUFg6uiJzyONxCezCPMlfN6djDu+AU1I3TSCZM7ZxUjGRCU0n1uCM7mRgYGf69JkxHbsIV7Py+NXycEAiN4OIfjJSLirC63KSreHfKUPZ96gtvIqhXf5bXWVNVBWsn104hCFZZWoJew0fj7IE97P/JS97Ewb9WQWhkjN7jH0FSYgYq8zLQdcpTMLZorRt9PyKtLkTuQUUeJ4VrBo2eB/fI4azjI/qfHzD/9XfgHRiMtIQ4JFyKwqrPFCH+fYePxqTHFsDJvbUT5n6iE1xmPDdB/IUz+GfZVzAyMUHfmQvhGzkIIgurlucG1b2vjI3iDMVuDz3DbxV6Nibu+xNCEwt49h3XumzyKOvrQk8uR8apHfDoMxF2AT1QV5aPgpijKIw7xQyViqwEXPhjKVMsJhFF+l1cXgj74P6wDeyDmoI0FF09jtSDq5muhpGVAyqzE5Afc6RlXWRI+46cD5G1es74vUAmFaM2+zxq0o+jqb5c5TdDuwBY+I2AwNKNnbO2Ocr3BB0dFirt1m8uG4j60mwUXdqJyqwrSPz3K0Q+s+qG10Dbd6TQVL2GNEVoFV7cCkl1EWxDRsPY1rPlN4pMk9ZVsucvlXhqmUfWxK4jqn2tJHzu0pYOeCWNbfQgLDxCkH16KwsPb6xX1UBwiRiMpiZFRY68S4eQdXoH23/X7sMQNFq9dCVP5+F+9ygvX76cDZmZis6k4OBgvPfeexg9WtFp1dDQgFdeeQV///03JBIJRo4ciZ9//hn29q3t1OzsbCxevBhHjhyBiYkJHnvsMXz66adMdPZeoSPX1Dq+T1EW7n7hr9MsBPZ6IgCa4OrlbC8WdL1pxZKmG6oYXw9S6yyIO4uyjHiYO3vDzi8cAmNTmFuYaiUSJhBw32kWJtr1SnOJnGjaB00iH1zCV1ypXSINdXGVwg90eVIZKHro15QU4MKujSjKSEa3MdPg13MgqwtckpuF8rwslOVloTgzGZOefw9OPv4oyExFesx5nN+58br7+9SKnSoeZqKiWnLdc015y8nH/2MCYZGT56lNu//H9+ER0R9ekYNVxgvbCF+UZqey+s4ZUSdYGLXAyBip54+x37oMHAVH7wCEDhmLwvQkHFv/KxrqaxE27lHm5U48thPBw6YiYOA4+HuoG3HfLJwOgbExLB2cYWhs0iK+JZUrjjcd04Tju1mutZGZFesYGPXyFyrLMLomhke51XQeDEWmsDRrFTSpLi3GgdXL0H3KfJjZOqKqOJ+FmFcV5eHoH4pyW7RP5N32ieiFvJQElucqkzXBp2sk+kycDlsXdzadpbF6Q0rCIexT28BR5oTj/iaFVJm0AcZWqiqptm3CwRMvXcTeDWuQm5aCBnE92zYLGztYOzrh0rFDKvP9+N8RGBkrQgK3nVa8BNpSnKcugVOcry7iRNTnqItR6XIIohBNNeqiKtah6p0ftg7qz4a2Yl6VmVHIOaa5IRjWsw9Ce/bGqKkz2LmeO0hVEGjl4XPXFVzS9Iw15BBwEWjwUpsK1J8FxgYcQnn6JZzzmwvyVf6XyZqRnZwBHy9FJ5QKTRylcZq5wlu5rzfOh5kmo40j5JZyHdUQcAuyyYStXi0lEpn6+W5urIKuji4M2h1HAx11bxnJnHEhkamHktY22amNa+CYjk0rVb8Gqjjeh2wZHO+OmmvGQFF2JlZ/8CbrXKuvq2eaCNSBOPvDn1noNaW+kJZD1N5t8Azrjl6T5rAOOC5hoMrcTBjZu2r1PituI35HRk9pRjwKEqKQH3eB1bWNfPQd6Bsaqxku6ce3MKM4cv5HiN36A2qLc+AcPgROYQNZvnFFXjai17zNPMf15fls2SIHH7j2nQUjy1ZNC2MTARqqilGTn4qaokwWvkyiXcXxig5IY2sn9Fz4+XVrGHO1SbiETTWJc3KJLjW0Ex479uWjKv+buYXC2q83CqJ3oaE8D+5DFsPMNbTl96pS9WtQEyILddEscR13uofIVKDVfhk1laFMrOpRpXDq7F2vs+8OfRfB2F7hrbZqF/rd1FCHzGNrEPbIS8yoLYo7ieyzOyCydYVD+DiIbBXvsPryPKTt/xVG1m4wdfZHYfR/LMSbPO2N9VWs004gskBjQx2rbW3pGQo772DEbv+ZiYlRpyWF6lNHSvDUN2Hq4Km6HRznu6EsE2lH1sHM0QfufR9piX5TepRzzu1g3mdJdSnzKjt06QNLVz+Y2Lm10WCRcwrNKTqhqFyV4nrS0yDGxaXQzZXHbyDkfuaYcswv6UCevVBLHYq6vFR8tXACqqqqYGZ2Z1M0btZuuRjqC5NOlEtdK5Oh+5UUrY/Zzp07oaenB19fhd7PmjVr8OWXX+LSpUvMaCYD+L///sMff/zB9ve5555jehKnTimebzKZDF27doWDgwObr6CgAI8++igWLlyITz75BPcK3lC+x4ZyYcJFVguRehspX7WhphyF8Rdh5RkIW58wxP67UrEefQPY+4TAJax3m97JGmaIkAfzQTWUudS8KRz53L/rkRMfw4SnrJzcmPiVNQ2untBrkjBVXgpbIr6bPx6NDYoGEIVKk0gVzWPp7MFyf+kcypqamAiVub0TE4e5kaHcFkOORkheQiyO/f4ZnIO6sZch1XemPGFDjoe6rrwJ2Vej2MuFQqwdvANhaipi27Tv16+QeOYIBs5+ChEjJ6OkSrFdVHv5wpaV7HPqc6/BPai1UUJUlhRh9bsvoaIwl3UYKW0Y9lLU0Wmp2UzrkNRVI3La0/Af0Coe1tZQbgsZyiQ6RsYvNVg1KcWe+Osn6MgkiBz7CDZ99jbCh49Ht1GTkR51EjuXf90yna2rh8KDO2I0nL184eYX0KKefSuGMt0b1MChEl+aDOW2VFRXIzc1mYWK0zE59M+fyEy4qjLNyoNn2HG73wxlahBWpJ1D0aUdaBK3WbeODqsLTnW3p04Zjz3/bIC4rhbPvPshTC0s8Msn7+P80UOY88LrGDRRIfZ2vxnKqXFpCPK3fmAM5SOHY/Dril0wNTeHtY0Fwrr6I+piHJ5ZMguLnngPZeXVLEfzkWmD4B/gjohufvDzMlOL4OjshjLRKJGgurwUpWIdprtwdutalOVmsvrndO0aCvSZKv/lQ7uQGn0WAb0Gos+UR2HlpGoUl2elQOTk1WFDOfa/tShKugS3boNg4REGkY1C56Fl+9psK+Uspx3diPKMq7DyCkVpSjQzlN37jGfl+8jwKEu7hKyTmyCprWDeWILKIDl1nwjb4MGcasFkZJ356Vn22WP+x4jfuRyRCz6954ayuLKYvV/FYvV1NXLkU99rQ1nUWIyShlYvLlF+9V/mDXcbtRT6xq2daW0NZTKMK9KjkHFoFQLHPQO7wF4t4wuvnkDWmR0st9nE3gtFlw/Cte8MWHj1aHl21JfmQN9QBH0jc5hZKe4Zes/XFGWgIuMK82bbeIfBZ9AjrEOEqlHQe6tZ31KtFjbX+RZoMD7JUG6oLkXawdWoyklg49wiR7NtqshJQkNVGXPCmDv5KMRK62sgra+59lnNPpuU16iBEPpCESvHSZ/UUUR54269xrPf7htDOScBXy2ayhvKd9BQ5sLKyooZvY888ghsbW2xfv169p1ITExEYGAgzpw5g169emHPnj0YN24c8vPzW7zMv/zyC9544w2UlJRAcE0n5W7Dh17fRchDXJ6VhOrCbFQXZaOmUJHn6T1gAnuZ6gkNYWHhC79hs2BoasEeNrmXjrF8KPIqV6ZdQmHSJfYAJfGQ5GM72fyVBVkwtXFgDzIK9RUaClum0aNyQ0w5U4BGU2PoCWicATMKKXyZfeqTquO9ifeor1LkvSqFr1Y+O4UZcPM+W9USjqyEeqjoBWXj6omxz/2fRsNeUl6k8v+8D3/EwdXLUJydzgxm8uRS+LRu9GnW4CLDj3r4ybtK6tCkME2NIjN7Fzj4hcExsFuH98vetwtGv/IVilPjUJQWh7iDW9i6HXyCWG6dg08wrF29WMOLDHOviD5qy2C5a9a2MDa3YGHabc8RhVQPfuod5MSew29vPwf34DA88tK7rNQTYWFrj5lvf4bNX77DvMq+3XrDxNIaqXHxKMtJY+vtN3cJM6JLC/IhalOfMv3CUVi5eMHIQ7VHm8hJuILdy79g3u0BMxag67DWMMS29J/zLKwtFA3/51duYZ8pF0+rGMlESY7C6DxWX4viXMX94OLtiyVf/gQ9I+7ySneCLT99gwsHFSHYdM+4+PjDxtGJHZuWaVb+hGlPP4/7rU5y+t6vIakqZOI1NMiu5eMFDhwLx4AwlGYmI+FSNMJ69UHUiWN4YfoE9ruFtSJSYf2yr2Dv6o7AiAczb7szciU2G9LGJvj7OsL4mu20bu0B/PHHPrz//mM4fjIFf67ZiX+3Hma/xV9Nx8DB4fhr3X72v7HIEFcup2LN6t2oqqpFRIQXnl40BiEhCu/X/YCBUAhrR2fUFStKp0VOnIOja39k2g0KIS2FajGa5XANDEVtRTkSzx5DnymK0NpbhZ6R7t2HwHfAeNTXX1/ATiAyQ+DYhUj4byVMHTzgNWAq+564+zcET1jMprH2DmcDQUZIdUkxpLUVLEdWEwm7fmZGMoVvM+8eVwfLPcDI4lrniZi7FNL9gGXwBNh2ncL5W+bRtShNPKEyTk/QasBTm8UpbDDMPXuiNPEUqvOSEDT1LVa6Suk8oHMlslN/h9J7nMKqaQgcPr1lPIXc0wBza9RU3fxxzTm/C1mnNrf8bxvYF54DZ8PcplUrhLzaVbkpqMpPY/tlZG7LOj5IGIw+5TpGrBOHoMgsyuGWNzUwI56G0rRLiFn/IYImvgAjUedIBXgQ0NHTYUNnQZm2Ul2t6ggQCoVsuB7kHd60aRPq6urQu3dvREVFobGxEcOGDWuZJiAgAG5ubi2GMn2GhISohGJTeDZ5ouPi4hAerlrG9W7ROZ66DzgkwhC9dSUzjh2De8IhsDt8B01mDysSnnLqouilbN8jSg/Uvos+ahnvFt6PDUq6jJzJQrxqSgtRe20gwSfIKVxLygxA9tmoMATR3MTGNV0bp5yG/oecDAQDmNrYwcbVC7ZuXrBhgzeMb0IJmHopyeBtDxmLRalxKEiKQX5iDCrzszDo0edh7x2A/KRYGJmYo7q0EKuen4muIyYjYsw0ZuAx7+rKL1lP6bgl76guLzud5TCTl7h9CDVBnuYZ73yF3au+R0HyVTQ21LNwYgrfo8YQKVEbGBqxvDf6FBgaQ64nRJNEoigVdZNQ5wUNFH5N55I6BfIun8LZf35lv4945j24hUaqzEMhhmlRp+AbHglTKxvmRY7evx1OvsHsGLSnujifhVZnxV3GvtU/YfprrbnDVo7OePyTn5mBmh5zAfU1VTBxcIdP5CAUpSdi+ycvQCgyY6VGyFinfafjmHrmgNp6zO1d2LVB4e9VxQVsXOzRvUi7dBZuXfuiICUOA+a1itVw4du9D5ZuPow9vy/D+d3b4BYYCidvP5zdtbnFSFbWRfzfvCkI6TcI0198C3eDOa+9i1HzFiD50kUkX7qAlJgomJpbwN7VDUU5im3bu/FPeAYGAwaquWOdGSpl4th9KjIP/dRiICtJOLoLteUlsPXwY/Wxi/PzmMAZqVyXFhWisqyUTffyl8vgE9L1Hu3Bg09DQyNS0otx8GQK+vfxx+mzyfhpheIeNDYWwsLCBPb2lqgXS/DX+rdhY2OOpxZ+Ax9fNyxb/jb27TkFLx9X9Ir0RPfuATh29BJ+W7kLIpEh6uoUDe7CwkoYi4SIiUnHtu1n4evnir59g+Dufv+U+jIQGmL4wldb/jfi8FBp8pJWlxahMDWB6UFYOri0lPm7HhTGSqGwHYEiwuyDerNcZvIkWrj6cy9bYARDC0c2XI/A8c8hafcKiMvzmAeTFLYrsxOho6+PxgYJC+UltW2ejqNJJyPr+F/MSLYPHQ77sBHsGGuqDUwGs13wQDZ0FshIFphYocvU12Go7NBoh4GhCDY+XdmgKfS67X1AQ9vQaxu/7ii4fAQx6z9AyORnWPTjzUDOD0ltNYRtKoQQFbnpOLfuSwiMTSCysofI2h7G9GlFKt+mLXXEmQOhWRGNSW0sazdfmDm4crY97wd0dKkzrBMZynLFtri6qkbpLF26FP/73/8454mNjWWGMeUjU47xtm3bEBQUhJiYGOYRtrBQtSfIKC4sLGTf6bOtkaz8XfnbveKBNZStzQxhKGrtAazR0COsbY6vyJBbjIIzHLe69SGQdu4QLu1YC4+eI9B95vNq4TScudMa7vH2ok0CA1OYmgfDsZ0StCbncBVHGKeyp5x5a5saIa4oRnVhJvJys5Bw8TxqCrOY0ISpgzszni2cPVlpJQpppYeRaZvcUjJas2PPs/Da3LgohE1ZBHNHD0hqKlCenYLq7HiUZqfDwTsAEnEdM5KpB/XMltUwNLNi4cmh4+bBziuINQgSj+zAX+8shnt4P1ZOCTIpKgtzcXbHRpRmp6EkK5UZn6Ri3SRpQG15EczsXeHk4Q0XHx/Y+waz0F5lXV/fbn2REXUSrsERrM4wdQiYkWJqu9qKHSliT56Nqrw0ZFw+zwxyn+59WYeDMnSIOgx+WzKDGaJUyoQIHjgKRelJ0NdthrGRQUsIoLimCru/e5e9HM5s/p11UriHRsKtS3ccXPMj60Agbze9HCjiIGjQOMTu+ZsdKytnD8SdPob3Jg1g+cbTlv4EH097GAlFiBw+kg3smmm53sfi4sEg/P3Nx7BxdkOjtA71ZQ2oLFIYwe0J6z8YXqERqK2sQHlhHkpysjBpyRs4tf1vHPnjW3Yc0s4fhZWDI2a9+i7zyOZxhNvlV0vgP/oxuPYax7aTOmrIUFaZJj2VfZ7ftwvT5i+CVZu6vUINYbvtw7T1GnXR0KgDgb7q/VWhobSRvUgAc3c3eLm7YdSkKaxDprIwD41S6niSY9uaVcjLykSXruEwqFK/Z+tq1EP1rTSkJTRzhHxq6kW29lUPG/YMUM27JiRi7v2yc3QEQhwROrgPu4cozcNKpMvuQXNbh5bG4jB/W6QmJuDEwf3ITIqHu5c3+g8bAa+eA+DorvCKNF1rUGkKnTbhCJ0WcaSscIVjE8b65erz65eqT6dbzDk/xO1C3WVyigOl3iftQqrblUrTGKKtWID6OA3lf3QM1ENJU8Q9sWvrdmRnZmP3dkVkEPHLyoMYPmkqZj+9BOt/WYZ3f1gFU0sr5GVnwi84FEX6xiiqBFbuPQpjkQnoiPWYpPD0J9UBNuHhmBgyG2buW7H19xUsNNU7qAuyU5Lw+JMrIa6rQ01Va+ffgjfehV9IGHtG6hsYwMTUFAKh6vY6iNT3q7GZ+3qtoftFixBrTfdiHUdqhSbjt6pWolUqUPL50zizezNcunRHXXkJqovz2DuN3mGUDtMy2DlBx8gaetdSP+i8ZZ7ejfKcVLKImDHgEj7ouqV4xBVFTPyxubEe5elX0GXcfBbKLNVpRnOjhHnplPccqSi3R2Smboz1mPMS8hMuozD2OBOBurT+Y7VpBr78CzMgNLVJuDyUZcXc4dDVOeppJEIbhXexPXZOplo9i2Qa2l9mHPPXlLSKWikx5DguREW2ehqLDsczR0e3ATptwquVOHuqjss8sQkl8UcRPmURPHuNUPktO139+eTgqhrOTRRypNZoMrTbhu+3RcghfmbjoH69lGs4h15DH4fAzFbl3uF6R2laF5expt8uPci1+1CYObojdtsyOHUdAocu/ZjxXHDlGOtgIk81DfoGQvapq6/4VNYBpzZDecYVNImr0XPGs/DsMahl2Ze2roCVRwA8+4xjYf715cUsCjD3yjk0imvZMug+ZZ/XvlP7Nf7wTjRUl8HU0Qvmzj4sL9vMyYcZ+rLK+zf64V6Tk5OjEnp9PW+yv78/M4opXHvz5s1MjOvYMYX2zv3KA2soS0kwQYte49tWxiIploXukrFYWVGNRokYhUlXWNmI4Us+gp65Azoz9PKm8GwTOxc2AK2ea0lNJaqLstBYkYu8q+cRt38j6ivLWGiynbs3rJw9Wa7joV8/Yd7ZbuPnwCVyJGK2/MLyWQxNzGHu5IHIiXPh6BPI1rP3509YLq65WyDsvAKZZ7M9XcfPQ+CQSUg8tgP6Alf0n/4Ejq75nglGeYT1RPcJc2Bh54TaBoXhQR7yivwsVGcloDgrA5eO7kd5fg4s7Z1g7+nLjPz+s59G6vnjiN79D+oqytBQVw2RpQ0s7Jxh4eCMiDEz1EK+20Oe3YLkWGRcOo3MmLOsnJSTbyAu7PwbR9ctR/CAEbBy9UYTee2lEuaZVuZIE67B4Rg6/yWVZZKRvOalWQgaNBb95zzDwq6zr1xA0plDKEyJg3tYTwx4dAnb9quH/kVNaRFKPfzw6Hf/QCapR311Bf5572m2LBNLG/YSWv3eKyjMSIN/914IHzoKXiGqYSvdh41mucwpsZcx6+3PFF7vmiqc2f43izJIPn8KlSWFGDb3KQx4hDuccdD0xzB67hMst7emohyfLZiB75bMx7y3P4SlbzcWxtwe6mAhI5l919NHzxmL0VxdhAt7tqpN+9qM8fhp91EYGnE31DRDIiQ3n05AAhNObgql56iTx3HuqELc69lJo/DMSroeO3+5lrZQhxR1KNHg6XQtV04uR1FGCpLOHcP6S6cgEAqZcfz+t8uYoUxkVHbMo9bZ6Gj5mbvFHytWITMtA0JD1cbvN39uguu1Yz/50SdaOiis7VXfH2Qka4LUQYdPmY5hk6ex5zodgmaZDHlZGXB292SdPjXV1TiwZSN++/xDOHt6oUnaiMZGKepra+Hs4YmAsAgEdI2Af2hXShpFZ4DesVH/bWTPtjFL3oOOPne+mqSuFvlJl9kzjKJnrNx82DOeIoX6Pv8Ru3epHGBZfi5qSvJQU5KPnJhTqCktYJ4sJf0WfwqTic4svLtJIkXupaNIO/EvAkbOZZFh7aFnNtVZJtGvktQYZiwc++55JtTUFgNjcxa2a+ERDAsWUn196LlMJaIUZaIUULtCWl3MIsridvzCVLXtA1Wjk3hakWuhfJ57YTcLW+4yZp6akXy/0bYE1+2GcpnJ8KR3Nxmj3R97H1e3L0PO+T1wDOmPrrPehpGFNZqp7UOeX2kDG6RiseL7tXF0X7l0HwlHR3Mc/OldxB3cDGt3P+YVdusxDOknd+Ly1uXoNf8dOARFXjcvvy2U512SkYjqvBRkn/sPNQUZTFDPxbe1bFunRadzeZRxrUPUzMxM6xxl8hr7+Piw7926dcOFCxfw/fffY8aMGZBKpaisrFTxKhcVFTHxLoI+z58/r7I8+l35273igTWUt37wHPMYugR3g0twBARWrnckD5dexod++walOZnMo2hgaIhmXSELYaWQW88eA5lhUFOvwTNxHyA0tYCtqQXMzVpfxOTVrCrMRkNJNspzM5B24RjzmNKgLzSEvoktrNz90G1Ga06ni11r427UM2+zTy7RLJV1i0wRNmYO+05G19AFr3BMpTCUyQAnYSJLaxs4O1lB30ghiEVq2IUZKchJTkTWlQsszJxyoknFmcRgyvOzYGBkDHFtNfb+/BF8egxgObjU4CJVa/J+s+/ss4Z9t3RyY8Jf9l6BKMlMwuWDrV6hyqJ8ZoCyXHCBEF0Gj2XrobA/MkYoxLs9pEJN25R24QRSzx2BkbkVm87axYMd05RzR9g1VZqTDoGx6Fq+czBrCBuamLJh3lfrsPOrt+AZ0QenN66AsakZnvn2VyRdPIv1n76L1377BwKT1nOwedkXuHhwD5qkUuQmx8E1IATGpuYYMvcpJJ47gfP/KXKL488c02goE7QNDXV1zEgm+o6finN7dyJv+XfwDItEdUkhIifOhmtgGOe8AQPGIG7n72q/BXWLhL2LW0tEQEege11Xv+ONBTIeU69ewZmDe3Hx2CHUVLZ63wwEAjz73kdo7mRGckU21W/9Gd0ffZflSiqhRrRQ35FpF5BgW21JPmpL85EjLmMibyVZaexe9YscgP99+0OLcfwgIdAgkna3oevq/z7ahi07olvGbTv0HyytWoW6SsTCOxZaSikprl6KxsvU+YtQL25AcuxlvPzZty256ERzUxPSE+OReDka+7dsxPIP34GLmxtCI7ojtFs3hISHw8RUc4OJIjEeG6R4T4yb8zgrOUbPMFsnZ860GC4k4noUZ6WjKDMNpXlZMLV3Q8z+bayyAWFiZYuG2hpcPUbPLomiRJPOtQ7M1HiWjkLPxrrKMlZRoLG8kIke0vObKhFQXj69V2w8/NjQlupaCWugJ+z7C2dXfwhrzyC4RgxiGiHU2Xvu9w9ZbieXoUzPHKeQvjjx0ytwjxyJgS/8gLwrJ5Bx8l8mfiQwsWTGQXlaDGsQJ+5aDp+h82Dj2+2mOr4MHTxg5uDBDGVJ7c2nCD0MNOP6z4GCK0eRcXwjXHuOh9+gSbifCZ3+fzCyu/3l/CpzkhC17kPO39z7TELXmW8y41nZQUm6OwZojRjQZOSa2ppj4nsrWLnNsqxklGWnoDgjiXU80X3WNjdcG+h9Z+0VygaCOtbqSnLQWKYuwtnZ6HQ5ytdCr28FeidQKSgymg0MDHDo0CFMnaoQB01KSmLloChUm6DPjz/+GMXFxbCzUzhTDhw4wIx0Ct++VzywhvK0D35FVWEOcuOjcXzt96ivqoC9f1c4+ofD3j+MeTlvB5T3lHLhJBy8/JjisltwOPSt7t8cCW0hA5B6/kwDWi9eeiBVlxTA2NwKqfFxyIk+Du++Y2Hhcu8a4GRck9ebBs8eQ1R+K8lOw77ln0ImlaI8LxO9pj7OQsMpb5MetmQIU0kl6p1tqKmGrEkKt5AeLOz70Mov2MO8PRTKXZKTzrzMZISQUU6NIo/QSPj3GQojE26BKloXCX2Rh5rUpHUgR0lmMrJizrLfw0ZOQVlOBuuUINVuR/8Q2LgrGr5KRBbWGP/qZ9j51ZusbvOcz79nCtI9R09E+pVoXDl+CH3HKBTSk6LOIfVyNN7/+z/USamToTX8ijzzRzf8xpRmh8xeAK/QGzfkzG1s8em/h1sUq4m4uBRkXrnIDOQ9P3+KIY8tgZUftyDUyAXPY8T8JawBHHf6MPat+h7xUefZUFZUgJDIPhg0YQqykuJh6+TCOgHuBFkpSfhkyUKNv4f37oeoXG4163sF5W5RXdZj3y6GS8RQ1hhvbpSi4Oop1nnEhP30BTCxdWKDu7cnnP2CWceehb2iNI27F3cuG8+tGcdRV3Ix97n1nL9LJfeu85Q67D5YuU5tPIVfUyg2DRPmPsGMz5qcFFyJjsJ/Wzbjy6XvsnD+sVNnYMTEySzyoi30/zNLP8bP7/8fdv31B3oMHIKcjHRUlBQzY5ly3Wc+90qLES+urUFqzEUUZWegID2VpV1QVIudmyfsPXxQVVKIrISrLXoSdEwtnVyx9dNXWJQNlaVTVLiUM4O51yNPspx7MsrJiD61/md4h3TH8N6jtKrdTtN495/ABooGKky4gMxz+3Fl+0r2m8/gR5i3i3teXQSPfwrJB9Yj6+weOHcdyHJBHUP6wWtwawnB6HX/g5mzL3vHJO1dBWuf8FuKfiEovYnn5ihOPIvUA6vhGDYEHv0Uarz3M3RtNTVprxqtCaqWUJJ0DqXJF1CWqujgY/fY01+y90ptSS7z1lYXZMDWr1uLkXwzUHvZwtGNDd69hnGmVdws1IFlYu+Opge7Sd4peOutt1jNZBLoqqmpYQrXR48exb59+1g5qAULFuDll19mSthk/C5ZsoQZxyTkRYwYMYIZxPPmzcMXX3zB8pLfeecdPPvsszcUD7uTPLDloV7/55xKHeVmcRXyEy4hLyEaBYkxMLFxQNexsxHcU11tuIGjnIWII49DmWNML/G85Dhkx0UjO+4SEw4h46DftMdZjiyh6cbnylHWlB8r5ii7wFXCR1PJJi4ZfhNjgdalrLjCGEvK1fOJiIbcOPz50Rus9A8JTJFhIzIzYV5cQ5GoxUvItU9EGUfIp6bjolZDt6ac1S/Uu1bvUtP2U+fJn28tYA942k6KBjBQiloJhMzGpUgBKoVk5+HNRLOy4y/DNSgUXl174srh/1CQloQeY6eh++gpMLumOE3XQ25yPMttJSOZQq8TTh9CZmw0uy7owU2dCnTrKdRbFZ+0rLqq1gZPr4mzcX7XP3ALCmPbRGrfQUMmse/Xy+GTNtSzeqryNqGJ+YmXEbX9D8z76GfmjV779iKMWPgK2x6uPH3yMsfs+pPVE57x4hsI7N5LJU9VZVoNOYRtD3dBRhp+X/oaek15FF0GKPKlrwc7NrIm7PzxY6ReVNTYa8tTX/0KJ+/WsEXndvl+DXW1qK+vh4mVao1pQw1eZrNrwkC/fPYhDu3YpnG7eo2egMFPvKg2/nJSida5alylWnz91POOCZGReuNjUleFyqikoQErv/8G50+egKyxFkOGhCMwyB1CgQEMjQRwcrSGnUdPdt+IRMbXrcFb0cD9fOPCWEOpPCN9hTpxWwx01e9jE31VVXolQnn5jfOO6dpo1JBrJlPNgyQ1/KycGni5cITtc+UoyzieRZrKQ3GoD+uYqV5rOXkVGDZZUU9cyYr1a+AXGIC6Ru1f+nUcz2OuW65WQ75jGUfOaBPlb3Mg4VhX29KILIQ7NRH7/ljOQgSnLHkdts5uLb83XNNmqK0sx6+vPoXnl69HYnQ0chOvIP7UIRZd8sSXq2FsZo7oA7sQs28LSzsJ7D8K7qE94OTlwyJvmFHc3Izli6dCUt+ah+ke2p0JHBqZWcDMUV1RmOtZVlOQDaGNujJvVa16R0W5hvdZU0MVZBLxtbQkbkhvIXb7StQUZSF06osQmloh7dgmiCtL4DPiqZbpShLPImWfQtCRcAwdBJ9hj7L3kKZ87Os9Rw59MpeFvAaNX6TYX45cTK42gVzDuho4rpd6DfmthhxtCq7yUI0aNBS4wky5tktTjrOBufp9JM5Tf2aYCmrQZNtar1qJABVI2fERTJyD4TnsOcW0Ftz3Zkmh+vPN/loaizZ4+6jrTWRmcndwyDjOlwHHe4Mrz11TW62UY/vb5i6Xp55HeepZSKtLIKlW1YGwcO+CkElPw9BUPS1NynG+ua5jYxH3O6Yj17wex/tbl8MDK+AoGdVQmI4fFk/q1OWhYnoHwfQmIuHuFDVNMnQ9E6/1MSNDmDzGVP+Y9ic0NJSVdho+fDj7nQS+XnnlFWzYsIF5mUnR+ueff1YJq87KymIq12Rgi0QiluP82WefsZSie8UD61Fuj7GFNXx6D2MDCSwVJsfixOqvUJmVwASSyLghI45ewFSugTyCIitbrXqhSY3TI6QbG4hGcQ0SzxzDps/eQuS4aex3akBQaC15nU2t7x+l0ZuFyhUNnPYojm1ai3UfvKZxusixUzFkzkJ2jG4H5JGszMlg3hprT3+ILFpDG9tDucgLfvgHQj0ZO/9tB6m4gV0n1NFB14fyOqBc3FQqc/Sjovg5KXJnx8eg5wRF2DFB++IerJoP7B3RC7UVpchNimPLIi81+9TRhYGAvusylWtbN09UlRYhev9OhA+fwELAE04dYsY1ecXbG8lcUC4e0dhG4MrRL4Q1OP/78WOWl+reJYIZydQYbSQDQ67wyOhfq1NHn0E9eiP29HEc3bKhxVC+WRw9vTH79aX45Y0lMLdxgGtQ2I1z5gUCTH75fdbxVF1WgoyY8zj7r8I7R41wJe/8cwDpCalwcHWHsYnmUis3oqa6SqOR/MJ3K+Hs7cc8biUcdaPvNlWVFXj/5Rfh7O6GL3/9Dd19CjifVZXSG18vDzL3IogtK6cM+4/E46sfW9Xjl7z+CqbMai0Fc69Ij72E/LQUVjLO2skFFnaO7JrWFhbC7R+Mpz5bhgv7duCX157B8LlPoteYSWrh0wIjYyRdOI3NXy5l4deD5y6Gk08ge+6e3rKWpXuEDJuI2vJSRE6ax6ortK2JSp5lemYNnPM0woZRCUXV5opYQ33mO3EVGJlz1OJuQ0NNBaI3fAOhmQ26zXsXVXmpuLzpGya+5Tei1ZtM2Ab0grGNC4qvHkVh7DEW9uvcbSREHMa8tvAe5Zs8blWKTjuhKXdH5cNE4aVdLceDxLaMLOxh6ugN9z5TYGBEDg7tnxM8D2fo9W+//Xbd3w0NDfHTTz+xQRPu7u7YvXs3OhMPjaHcPszDKaAres16FkdXfgJzO0f49hyI6uIC1NdUoraigoXfkhhY4IDR8Ok5GCIj7UK1yRNG3ixHnwAWSpodf4UZXjFtclinvvsDM6YoVJY8mQ8itF9D5zzJBjJy8lISYSgygqGxiB1XMkL3/bGC5cHSMHTeIvSeMEOrPHIyhquK8xVDUR4L964qUvxPoX/mFhaoKC5kPVZdR05Fj4lzWUgziXXZe6rmpFHjy0hkDKN2BpamXk4KRw7qNxRFmanM21tbUcYGEg0T3UAEjES2KB/0Rr2f5jb26D99Pvs+/InnMXjO08hPiWc1lW8WVmpsznNoqimFZ9dIuAWFK0JD92zGib9XtRjJwxe8yNSQT236A9LaKoyb/zRC+7aqUd4MVWWl+Hf5t7h6WqF8WFdVfv3piwuQHnOO1VEVGong3a03C2l38e8CFx9fbP66tQQW8dF0RW8lMWXhsxg961H2ndVY7QCsdIG1TUtZJMLB3ROFWRn4/kVFOPZLy36Hof3tz//SBjpfZAzn5+bg3eefxZDRYzD7yUXXOlzuXekENWHDnDy4uGn2vN1NOuKtuB2UV9RhxNTvVcaF9+jWKYxkQk9PH/HnTrJUDOW70NzOHjaOLrBydGEpIPRJpeXIiOYS46NznBEXg8TzZ9jv9MylDkRJfT0MTBQiLRSFQ++A4D6DYPD+Mhxb/ysO/bFM8VuDwms79Z3vWakmTSibaOEjJ2vVYa2RDj4HlIZnzD/fsBKOdIzI81lbksd+o/BrEupqqCpl4l0NVWVsOt/Bj8DSMxxX//0Z9aX58B02B9beYWzbxZTf0gaRjQv8RjzOhttBeeZV1JcVwMiqc4uG3isolYkLM/euEJjZoSzxKOzCxkDf8OY7Wu93gqZ9cF2F7vueByt4lucu8sAayod/fo+Fzfn0HQ3fvqM5p3Hv2hve3fsh7eJJhI+cwnJDlaHXTBE2NR7xx3fjwr9/wi+yH3pNnsc8iG0hjxyJReUmxiI3KZaFmJERTEIEwf2Gwb/XACaQQlL3h1d9yebZ8qFC4IrKAD25bBMedMysbdmg365Uz6PvfYaSwmJs++4jHFq3gg3vbjnKuQwK2Tvw6+cozkhWM4BMrOxg5eyGPtPfY0Zz1JbfFA0rHR3kxEUj4eR+Nl23sdPVDOWbZfDcRQjuPwyr31B4Nl0CQnCnIAPWLVhRx1YbUTi6dikMUK6j8ForcfQPhblIgO8ebQ19ptrTJDpG09u4euDg6h+Ywd9nyqMYOm6M1gI8XBTnZGHPH78gMz4Wof0GIWzAUORnZlxXVZw6lTJjL+LIuuUwMjNnXvTTW9ehoa6GhaU7einO34u//sMM6c1ff4CMK1EquZfsGDQ3o7mDeVpCQyMWztwWMpKpPM+AyTPg3aUrK3tVqiEM8Xay/4f/Y2J5gf1HInLyY7i8fyvObvqNhaX+LZNiwfMvYfi4CXdk3ZfOnsaHLynCECfNfQyBoV0R1DUChsbGKMrLhbeXJ7uuzp08jkbK7y8pYSrMFmZ6SIxLwMa1GxAUGoy6mlqkJqfiy2Ufoe/AW4tIuFmkjXevcXTxUibmLGoVpTu+61XY25kh3+DGqQZ3C/egEDz16Q/IiLuKFa8/zTos+02aCWtHF1b2rTg3Bxmx0agozGORLSYWVrBxcoW1I3mgXVnKzIV9/7L5+k6YxvQPLp84hL1//MI646gzz69bb4jMLVinIuHoHYAZ73yNmrJiNj8JJ9KnMkxbI9eeXfQupWdUe0jc65+li9n3hb/8yzkNIW8Xkn8jEvf+gZyL6rXkjSxs4RTWn4niKUrWFKGxvoaNt/OLQE1xLtJP7oJHn4kImbzklnI2O4JbzzHIPrcbZ1YoIre8hj0JG797c791VvR0m8F1FVAHsduA+Ujd9RmKr+yFU+S0e7B1PHeF5lvP277TUMh8Z6rU0Jm25V7ywBrKpibG8OraA/XVxfByMYe+rpzlXVLDv63gkPmSd3Fq4ypmXFCOcdLpw/CNHMjEjQ6t/ByRk+ZCT1cH6dFn0HfsRFibu0Ama8L53duRfiUKGXFXWMPfxT8EXhG9MWDWUzAwsWRezxPrf0bWuhXshUm1F6mkEa3fytkdvaY8ppb/1bJNJtr35rUNr1XiYqF9uGVTs/r8+hq8ulzTWmvoeTTiqJXKtVx3f3d0X74Sq7/+DAe3b4aFpBz2Lq4wbpf7U18nwuYPcploi2dIBJy8/ZAWcxGFmamoLS9mg4W1NUbOfw5e3h6IOrQXpYWKepku/sEsd9zVL4jzeHN5nbhy3drP6+kfgA+2H0djQy2M2p0zTXW7Oetma1Ez+3r1vNteAz88ptoop3JcXYeNZ2kB1MljKNDBuKdfwYG1K+Ds68/Ka4U+9RwqigpQUVSI2a+/BysHJ+Z5sjUx1CpPPLGIW9wqLSMfKTHR6DZuJvPsk3HFlSffNi8+5eIpnNj4O7v/KId8yovvIjvhCjZ/+S77PT81EVOfeAqRgV74vwVzkZGc2LKMeUtewphpM9k9pifRg5WZEPZWqveCjaGiRrOmXFpPD1vEx6nmcnn7ByL14hnoNtSjZ/cI1HHkZFGt1Pa4tKvRqWRaX/XcSueazairl0AqbUJWdinWpcSy8Zd2/8NUeI0MDeDvY4/vP50OgdAAzo46gLw1SgVSbpE4az2OvLR2HVaEkxBobJThkelfoKys9XwWpEWjLCcWf/30BUaO6o0N6/cyIQ5Xd2fk5uQjKyOHTTd+8ijU19Wx5+jWPb/j6pVEvPWyot6rk2EmrNv0LchL1Wsjs/FcNYs5njmc47ig+1oiAepkWi6Xw6hu0hDea6x6XWXlV2HOog3su5eXMyZOGQxTjx4Qkyq9TF2R2Fhfff2Nza3LpPrK0ecvoay0HPv+O8w6gNggEMA/OASPLHoW+u0MQ02541zPHJmvL3qMGMsib879t5VF/fSd8AjmLHlJJR+ZRLjycrJQmp+L0rxc1NdWY/Tji1BcWIzDG9excOnQQSMweO4zLFIoLy0RqdHncOnwXjh4+rKcZ0VjSwcWdqreziYOA1aI1n1QClzJZTLotlG+T7t0Ftu/VjwPlKx8eiJeXLsP9Rx1mOlZXH+D6gotNFYyIzlw5Cz4D5nauq0cOaPkJSZPsriimNVPprI5/sPnsQ5wbWjvZSYMOGqRa3pHKVWEPQfMZAPde1e3fI30g6vY0LJMYzP4jHkFhhbtjr8WpXaUCDRotHChx6E0L2viblPIZdrlI2vKUTa0Vo/IM+CouaynZ4CmevVroxr1gK4tDO0CUJZwGMYeQ2FuxR0Cb8mxro6U8snNU9esMOTQoNBU45qrFnZxnnrNa8LUQv3d7e7JnYaWk6WeJ63H8T7TZDQZcbzTuWo262lq01zTB1GZX5Omj5b5yG0rrCgpr+n8XnK6njpTeajOtC33kgfWUCYhLwohO7VlHWIO/sdOOCk1kwEwbvErCOzZv2XavjOeZJ8V+TlIOHmADUpO/r0SoUPG4aVf1rfUZaYGRGFWGqvDSLWTaaDLqd+MBUwlWcLykU0x/Kk3WpbD98xcn/C+/Zmh/MrsKS3jukR0x4TZ8xDeszfzWL36+xbmrSeDi7wa0Yd2w8kngJUzEggNcWbHRnz56Hj0Hj0RBamJMHNwYbmwpH5K4cQO3gG4E7QP276XPPnD30zNm9S7My+fQ17SVRSkJqhMQ17ZBZ/+iC3ffojK4iJWTqW8qAABPfqgvrqaeZC0hTyKfy59EZL6Wlg5usLKyZV5ksj7W1laynLEz2z6jd2PQQNG3XB5tu7ebFmkxkwls+qqK+Ef2Q+vrduNfb/9gIyYs6irqUZhbg6y01Mx6dEFLMJg9tMKD+it8s/mD3D0SDSee6ZVhCnmrEJMrCA7CzOeega3i6oKRQh68pUYLPn6Bzg5UI6mPmssf/TeVJiYGELe2Ih+vbxhZtrGMLtFhVxNdAl7QW3cuTMKg93V1R7/bj+KnXt+QE6BFFcuxWPspBFIS8nAudNRmL9oDnR1WhveQ4b3w9kru3Fu91q8+s4mdOvqjrdfHgNrq7tT2/5uUlnTgJHzFUby5KlD8O7/nlJTg+4Il6OvYNVPv6OwoAimZqb43zffQ09Pj9WglEoasGntH/jijZfx8kdfwNDo5nLQKRpj2otvse+xJ49ix4rvEdy79Z1IkNo85fz7hvdgg5KNX3+EnJRkTHjuLdYJ2RbKQaZhwPRbDylWhn0ve3ICpw7DnI9+Zs+JOhIOWzITccf2wrMntyK1tpxYrjDA2xrJ14NUrQ0cPVuExTQZuncDVmpv7NM4/eMz8Bo0AzY+4Si4chw553cjYfNShD+54p5tW2fHJnwWcvctRfG5VXB0eQGCaykEPA8SfOg1z83xwBrKY55+FSaWVvDt0Zf1vBsKFT2i+WnJLMcxNfo8uo0YD4G1M8tBot5YCidzC+mGwrREzPzfjzCztb9Wo1EHhm1UY8kjPfk5hRG8e80qnN6yhoWqkZx+e1gIrFzOFNuSzx5BeX42CzsL6DcMZjaqPbwUcko9n+aRrfWKHxa69uqLv05cZA3BiyeOYu/Gv3A1+iIblMx++1MERPZlddnO7NwEcU01C2vf+dPnrFwB5QkTecnxcOsSjtDhE2F5rfzNvchXvBdQdIN7SHc29Jk0i40jQZyizBSc/XcDsmKjmAeIPLZUmmXxd78jas82jF7wLFIvXcD2n79m4ylMeviYsXDz9r1ufuB/69ewUO2RT77Ajj91HlEOooW9I1Kiz8E1sCtGL1naIjB2I6hk0eJftjBhvcQTe7HixcfQf/rj7B4OGTAci19+GQe3bcYHzz3JRIhup+GqZNDgCOw/+C1GDGv1rhHVlRXIzcwALNTVU2+GzauW4+jObWw/Vv34OHpHqpb7YjTe+TBvJUnxP+LdpeuRmVmMioo6pKQWtPz25KKpcHNzgKWlGQzNzOHrryj5FhwSwAYu6LoZNbQLXnjzb+zad4VFSXy6VDsD5H5IS2uSNaPL2Fb1YmLs+AG3ZCQTdbV1iIuNx6fffoSefSNR36TqCZo1fyFeX7wQ29b+jlmLnsWtYuvqxp6pFnatIpMZ8bH4+e0XWTgzdXyR53nA1FnwDo2Af/feSLhAZezurHIsiYEt+HYdmiQN7B1NkSI0sNJ7AkFLdAt1xr24Zi8L/a7ToK6sLZRz7BDIXcLufiDv0kH26d5rHPv0GTIL7n0m4OR3TyPlv2/g0mcmjCxvz/Pr/uL6DwI9oQksgyegIm4Hzq98ESI7d7j3ngxLj1CtdFN47g3ktIrfuxHiqlIIjE1haueCqoJMXG2qh6NfFxaNQu16SV0tavLSO/1put/FvB5UHlhDmV6k1FBrG2ZNUMjuoq9X4sTmP7Hjp89ZA8DRN5iVzMlLvMKmCeg7rKW+6I3oOWkOTG3scHTdcqx6aR4TH6IcLPKg0Yue6ixLxXUwt3NiQinZsQrDz9LRVcVQTjp7DLt+/AjdRk1Fl4fQUFZCnuE+w0Zh6Kgx7H8WEp+Wii/eehXrP3kL7206xAyL53/8k/1OIjIVZaWwsLXHlaP74RLQBcaGQsh0hTDQMgTufoOOCXW4WDq6aKzXTTm90uamawrbumw6mmfU/CXoOW4qTm//G4G9BsBIZIphs59g85Cq88BH5iA3JREJ507hmzdewtDJj2D8HIV3qL3BXFVehp1/roaTbxBObV7H1qNcV11lBSoLcthQnJXKak6PfeEDBPdUFJa/HmQkE+FDxyIn4QqSL5xi18WR9SvRtOhZPLJgESbMfRy5GZpffIr9vvmHvJOzDSIHDcX5o4dUxr/5+EyMfOJZ9J3YqnJ+M6QnxLV8HzRuEreRfA8YM6oboi6lIzExFw2SRpSUVCMo2Juli4Z30z4iQyaTIT01G7s27IClhTHGjwrDGy/cOKLgdnOn2rhHz2Vh6bLjLf//8M4IDJiliEy6Vbp07QI9XV3Y2quK92WkJGPdr8uRFBeH2U8vweBxiprot4qDuxcLw17xxhKE9x+MwO49UVVWBhMLS9YQLS9SCMVRx+TZ3dsVkVR1tfjlBYVoHkFRPb0nKjrmbick4qdNusp1jZkORGC4dO2H3JiTirJ996GBlHVqK6uo0N7r7RA+FoWX/kPiFoUQotDcHn6T/oeHBbkWyudm3gMhcukGeelZ5EXtQfy/37WURvIZ9jh0hbyXubMha5Qg+chWzt9SL5yAUGSKkMFjmSOFItp2/fMXOjPMMdeJnjtUupTnATaUrwepcQ6b9xQb8gtKkJ90lZXuIWPW2NwCTr5dOrS8oH7D2dDUKGXhojVV1ZCI65jyZ2C/Wohrq5kokYN3IOKO7cHZrWtU5r98aBcOrv4egX2HYtDcp2/z3t7fkMHj7uOLnzb9i/MpeWoqrOTtsHJQ5BR1Haowrhsqy9B8TwrD3B1SLpzAzh8+bPmfcuO7jpgMR98g5gHKvhqFPT9/wgxORb3mZujpCzDyyZcR2CMSlw7txoktf2L8M68xo1tJTlI8Dv+9BkkXz2LC4pfgH9YVezb+iR3rfoe5pRVGPDILQydPa/GYmZiZ48VPv0FmcSXzSDEBrZZPGazc/eEaFI7c+Bh0GTwOh3//BrqyZ9i9QOVp2guFkdgPvdAoRYLSGYxdXDDx+f9jv6VeOoeNn7yJjSt+gqm5BYZOmAKvgECNx4heNrdad2/OMy+oGcqEZbtcy5vhn5U/Ie7iefa9vpa7vuW9oHdvfzbQdfHX+uP49bfDiI5KQFVVLbKyChAREQj/0O4QmajmRFdVVeNK1BXEXU1GXGwiEuNT4eBgixEDPHBg28sw5ch3vxsIOHLtboWqWgk++f0CYpJLEB5oj70n0vHi45EY1scTN5bZuz5075w9eQ7ffPodJkwdD1d3hSJ0Vnoa/vz1F8RdicHMxxfgzY8/h1h+e/drxLwnEdCjN9JjLmDbimUozsuBb1gETC0scXrPDsx89T10HTi0ZfqK6gbUVVXi6okDOPznChz+89c7YijfDnQ6IKoVMe1ZZiinn9kD775jcT8hkypyWAPHKeopt8Wx2wQ20LO5MiMKTRLuetEPKs3Qg0xSDUl5KhrKUiApT0GzlFtboy3GNq6ozLqKi7+9yv537f0IzJwDWAlRfUMTyA31b02RneeWMDA0xqTPN7PrmsT0RNYOrA3hYCnAhncXs6ooXt36ws7DF5XZKfzR5rkpdORtW8oPAMrC3bsTsiBqExom4BBnIuqviQi1pYqjPqMm51Q9h7CPwECXCX5RPjRRkpuNQxv+QFVJEQu7Ls7JxPB5TyFi6GhmsOxbswL9Js3AuIVL2PTWGoQzLDiEnLjElbj2SRNcvfWOGsTEGjgETbgEvggOjQ7O7aqVcovlcAl/2WsQgkqtUH3p15WXQqpjAAMj1ca8iSF3g0mf4+RKZdqLnHFNy3VeOnIOpBqEVkg5nKIg4k4dRUleDi7s3aE2DXmCnnz/S/SIUChlt2XuwEj2UiFMLSwwcMwEdOnVDzvX/oaS/DyMmf0Y/Lt2w/dvvYTCnCyYW1oiOLwb4i5Fw8LKGp8sXwVTc9VSaRKO/ec6BlEnj2PNsm9RlJvN/l/yydcI7dWPfS+qlWLdB68j6eKZlum9QroicvgYhPUfwjq3Vrz9IjKuxqBL1xB8++sPKss2N1CUblFSWyOGTFoKe3vV/HEdsbqgCkOqEPNSQWCEouIqDBjxUcuo99+ZgvDx76lNujs2X2tRPp+C37DwJUU9aOKTdyZgykgNRr+egXbqnY0aajs3cYSiyjjuuXb3MYmrfbLiNIyNDGBtbgRLc0MUldbhYlwhYpOK4eJgiogge6bHEB1fhNJKMZztTDCouysiuziii68NTIwFgFRLga7rjb9JZM1yZJXJ4WWvpaF0rYZ4W3ScFSHmu/Zdxqmzqdi665LK706OFjiyR9GZ02zILd7WLFc/h/ry1kZ6eXkNtm47h42bzsDM3BivvDoDkZGBSE/Px/Kf/8X586mY88RsjJ86HsJrqu4NstZ3W2piIhbPmYlPlq9EaLfWXOLrvc+qNdQgVt6zddVVSLx0ASmXLyGg9wD4dlUNR1ZmsVBJqKXTRsAjOAxPf/ET53NP07OMhL60oSMpM9SR0Z6m8gIY2qoLNFF1i/ZcPrgDFzb/iiGLl8I5qFvrMjiecXTta/vc13YfuETDtNU4ST22HYn712PUu7+zMFSVbeUISa+q4HjmsXMv5ezE0XZ7ZRznm0vgS9O0jRraBFzo6atHVEmuCbdR0zb/0Jvsu7W1NcrKylSmMzBxgtDaD0IrHxiYOqGxJhcSMqIrU2HsEAyLwNHMw0fLkVZkoyxqDaR1Fdptl9AYviOfgoV7azUMF3dLjSKW7SktvLERf70yTlzXiwGHaJama5Oe++0x1VBH2YgjL59L3JLrfiMkHNdAUYm6mBlhYqL+jLazVNdpML92XFIunsaB1cvw2Cc/Q1xWjNemDEVVVRXMzO5s2sjN2i0JI8NhqkH07F5Q0yhD4L5LnfKY3U14Q/kOGMonNq3BkY1rmHqwpb0jCjNS0X/KHLgGBDPxIxJIcfD0wb41v+DElr8w8tGnMHhGaxgbbyjf2FBOvhoLkakpnN09bspQFtfVsprO1Bt8PUO5USpB4oWzTJyKygcR9NmlT2su4t02lNtCHTIXdm2BR1AoYo4fwvFtGxExeATmvvE/zo4FcW0t88qTCFBdTQ3eWTiPhSaOnfsEeg4d0dK5QxhI65CflYmCvFy4uHvCJzCIhYS2R1tDmUhNz8D/zXuEfe87ejy8ArvAk5Zr48LWnXj+FP78SNG4mf7Cm0iKPo+UmIsI7tWPnauMmPPoO6g/Xnr7lbtiKBNnzqXg8UWtuajTn3gSc9uJh2ljKFO4KoXEr3h+bsu4XesXw8fTFmiSdCpD+Xo0NTYhKaMcUfGFTHysW5A9vFwswNkUvk8NZcp1feaTg7B1ssOhYwnMIJg3oxdGDAnGn/+chUyug64hbpgwrhusLEUdMpSrq+uw7o8d6BrqiX93nsep04kYOaIrps0YicAgd+TkFOPnH7fhzJl4PD5/NEZMegKGRqoe+baGMoW5zxo9AhVlZYjo1QevvP8RiwDpiKHc1NjIvMhUN7w9dRzvyLZta6rLvPYDxT07ZNYTGDzzUZXnyP1iKNeUFmHjOwtg5eKFsW98p7qM+8BQzrt8Epf+UXQg9l7wHmx9Qh5qQ5mozT4FHV192Ng5og5Oat5fHQ6jxIDDGCMcXM1YqTLyMCf/p6gJ7jloHqT1VWisq4S0tgLSa59NDa1RQpZeEbDx74kuAwZAz0D1ncAbynfWUCZOb/0LaTHnMfLRRXjjkRGd2lBOHB3R6QzlgD3RnfKY3U14Q/k2G8rHN61DzOE9rCblEx98zcS8qLddYKSaL0uCSR/PHoP+k2di7JOqjW7eUL6xoTypVzh6DRyCNz//+qYM5WUvL0J1WSkCI/ugS6++LMxQmc9OjYLEmGhs//kb5v3n4q3fNsLW2fWeG8q0D589Npl9d/ULRK9R49Fj+FiWx81lKLdfV4NYjCYdhUhOe7iuw7bzUwP94qkTOLp/L8wsLOHq6QkXDy+4eHqx8Gg6BqTsfP7YEfQYMIh5pKmBTnmPeZlpyExMQEZiHDKTElCclwt7D2+4+AawTqTMOEVu8uBpc9F96ChcPnEEFw78x+pk7zi6W2277qShrOTJZ1fhxKkkTJr9KB579nmVNIAbGcqUS//t4wqBHWLOIz3w2IyecHO5ZtDcR4ayZkNX3ukM5exyOTztOmYo/7rlCv78LwHF5arPlVU/PIb+vX0V/7Rr8HbEUD6w/yK++OxPODlZYcL4Hhg7tjtMRIZo0lFcq6++8jNksmZ8/MlCGBsLUS5RN17bGspE3OUYvDi/VWnaw8cP9k5O8A/ugsFTZ7Icfy5DmTpuNy77Cqf2tEamPPH2B+g+eLjWhrKyZvraD95gZaSUTH/lXYQNGo7GJvl9YSiTTsmaF1vr6A599n04BYTfN4Yym1/SgCPfvgBJjcLzOeZ/a6EvNHpoDWUlJrpVqJGoa5Z01FBWkrp/JUqTzsJn5FOw8eupNm2zrBFZJzayaWRt3i12vqEYsOh/D4WhHHd8H6u8QdVkSB+FmPDaF3DwDb7thjK1KcpyM1CYlsA+LaytWKUTCztHiCws8df/XsLg6Y/huzeWdEqjjzeUOzcdTuLLy8vDG2+8gT179qC+vh4+Pj5YvXo1undXhGZRmMrSpUuxcuVKVFZWom/fvli+fDl8fa81MMhDc+YMFi9ezH5/9913sWDBgpbfqMePwsuSkpLg7u7eMn7SpEmwsLDAH3/8gc4KeYevnjyEp79ejs8enYzV77V6vZx9AjBpyRuwd/Nk4aPHNyvEqIJ6qZbk4NGes8cOM4OZoNImo+YthKOnt1ZSt099/C3++305Tu/aiqjDe5kAlVeXMFg7OOLKyWMQGhurGcnkbXn+m19hKOKuWXs3oTziU9s3Ii81CV0HDEXkiLEI6N6rw8shz3JHQvXbsuufDVi3/Ec8+cobkEgakJWaglMH97eIbFE97IKcLAR17YZNv63ArKefY+kGZJS7evuxof9YhSBRTlk1CtNTkJucgNSYi8hLTkBtVSV2rvqRDc9/swL9JkxFgIl2+bx0Bchvs8r5K0tGw8LcGNvXr2XDo888j0cem6/VvJRL32fKXJzeqrjv33l5FJ/bdhfQ1vbOLKjGqBfa1KW+xs4NS1hnBtXvFBjcHkmPy5fTMGf2QDy5gLuU0aOPjcRrryyHQQc8C/TedHH3QG6W4pmVmZqM8pJiXDx1knWetTeUlVDZqbZGMrH6k/fg4u0LBzcPrddv5+qOV1f+zQzFxAunsfb9N/DP1x+yIXLMZIxZ+CLuFaTRoA0GhkaYt2wHakoLsePjZ3Hop6VsfL/HX4VrV0WKSGdHX2iIkW//ipqiHBz5/hXUVxTDzKG1HfWwonObSwNV5yXD0MIeVdlxnIayrp4BPAfNZYOSs8sWQCjqXAbazUIOoPrKMtSVl0APzXDr0pqmoCT57FG4BIQg7eIpiCxtmH6P/Dadh4aaSpRnJaMsKwk1eSkozUlnGkP23oGw8/ADGutRmJaMxLPHUVVSiPDh4+F0h8qD3k74Osqdkw69+SsqKpjhO3jwYGYo29raIiUlBZaWrT3pX3zxBX744QesWbMGnp6ezBAeOXIk4uPjYWioeFmTYfzhhx/C0dERjz76KEaMGAFXV1eVl/57773HlnGzdLEpg5lZa8+onDswEOImdSVDabP6w0yTMZFcruj5opBXEjZ5+rMfmOfsy13HcXTLBqTHxiA3LQl5qYn46QWFurCSgIge8PQPVMuf5spFJrhU482vlb1S9voWFeSjvjwb506fxcChg+Dj39pBoaejXemMhDLtPTvOptwNMC4vqylHYXjjDjQG23o2qJRUcX4uju3eiSM7tyPuzAm4unsiIMAfcl05TI30YdSut9WkTc9naW0Fki+ehZFIBP+wCDz1zgdMXCk3LQWhPXsj5vQJ9Bs7EWPnzIeV/fXFm4QcJ0aswTPAFeZtxNEr3izkfqEYXsv9+XPnJmZQLt99FO623J4sLieEHoeKob6IuwdfV0dd8KWxudXLOmX6FFw6cwJXr17FjCWvIqLNdGTkpqamw87Nk9WZjszOwPYfv8DR/3bCyd0dfiFd0X9Uq1jOIG8LwLsHMLw1x1JPHIu4uDT88du/8BakYaCrJYR61dzb2qTaAy2RNaCmuho6pu2ueRn3PSBvkt7QyxzgYoTXF/XDzt2KPNW1P/8AR1zGE9O7w6HnELXZxTLVe+Pza0Yy0dxQD722972G7UIDR8+6hMN7rKlToKlJu3Ed8RJzzX+LRsrtgPIJVWiWQypuJver+sTthN6uJJWoTfL47N6objKAwMpWveRTg7rHR1eDOFD7N09sTCJeXNgf8qpi1U0SKa6BiEBL+HrbYcfmvZjxSB8Y6quWh+KivioPleVlGD5+Ag7sVBi+DQ1i9B08BLlJcVi5ZRPsnV0w44knYd2mDBQ1AZa8/ymWLX0LTu4emPPae0i5cgl716/Bo28s1ajvoelyM9DVQY++A9Bj/xn2Pjr+72ZYurjDkOPZT1oeasvluFw0icByTcvp4RTqwsJCPTyzpk79nhdLmmDq5oqnV+xAfVU5Nn/0Ik7+8RWAr9B/zmJ0GTSWdfRRG4XLy6xJoZvL09wRT3kjV9SShltLaKALB2t/+K7Y1Wa/1O8BIw2aH2KO41Jfx/184vJU19Woe3QlYu5nBpenWSpWPy4CDbotBkI9rcYZN9VCLFH3vso4ng3NHG29pvpypGRdgKQ8HbVZ51iL0sS9N4y8JqAgq7Ld/OonRlk6VOAYiZT41vvezkk14ql1vHob1JQ0H7Skpl79HEo5IiDYNnHcm8PDnVtSMs4e2IPC7AxklxajrKgIZcWFqK+tgaWNHarKSmHr6o5BIwaz6Smi5Ojm9axtVpaTjsAevVipyBd/+Vvjtjqbq7chBV04rguJBCmndmPLhk0oLy1FUGgIBoZ2Qfi8XggM9oORcetyZBy6EJcvXkVnR0dPUSKqs6Bz917fD46h/PnnnzODljzISsgYVkLe5O+++w7vvPMOJk5UeIrWrl0Le3t7bN++HTNnzmTj6urqEBERATs7O2Zk19SoNjCee+45fPPNN3jttdfQpUvHFKjvFZXFhayhtu3nryGtr8eiT77D4Edms4HQl8uw7quP4BUUgvABQ5iaKCHhUr26CS6eOY1P336dGQdKbGxtIDIxwQdvvof42Hj8tPoHrF31J6vNOX2OIk/0fsbOyQXTnlyMsY89dcNp9/y1GjtWr1AZF9FvIB594TWIJQ3ITklCCRneu7YjuHtPvP7DKtg6qYfr3WvoHju8fTMKsjLx1g+/wtBYu/rEdwJqMJJHWiJWD+EzMbeAe1Boy/8USbHws59Qcvk0Ys6cxK4Na5nx4RUQxI7z8UPH0H/IYBUvq7mFCfr0DWNDZ8HW2gQntz6NflN+Yf9//vMxZORU4Ln3+iI7MxcZ6TnY+99RnDp+Ab/8uQqBXQIhaZBgRK9WQ/q7/01QNZJ57jmpueoh+X+sP8OGv/58Gd273Z7yXY2NMiQm5yM44PrlB/19HZGXp51wEOHl64XampoWI5n4/o8/8enbbyDvt5WYOHsu8rKy8OKjMzFs/GSMnDmPaTwQvYYMh5ObB956Yha+fG4+pjz9AqKPHcT4+YthaWt30/tK9/egydM5Q7fvB4zNrfDol2uZrsCub/4PJ/5azoabwcbNGwH9RsAzog9bLq+U3Hmhzr3GmiI0lKWiLvciGqtV03oI64jZMHFR96JqorFGkZpjbKueRtFZIafBH198AAsbOwRG9EBAaFfWyWZt78Dar7npaXhn/ix0Hz4GxblZOPT3WiRHX0D/SdMR0FehkF+clQ6PYHVR0Y5QXVGOQ/9uwdEdWxESFowX3ngZIeFhLfeQkb5qRwUPzz01lHfs2MG8w9OmTcOxY8fg7OyMZ555BgsXLmS/Z2RkoLCwEMOGtYaUUYJ6z549Wbi10lAmb3FgYCCamppYCHZQUJDKeshrnZycjDfffBO7drX2inZmJix6gXk1//psKSsT9fKoPmy8jZML3v79H5bP+Pibt79uYUZqCj5563VWQoToPXAwzhw7wr5/8/FXLIdH1qRoqHy69AvkZufi3KnzqKmqwajxI1iZFwvLB78+4MhZj6HXwMFIib2M5KuXkZ2agob6erw4bRyc3D1hbm0Ne2dXvP7tcji6uUN6mzowbick3LXmu6+QmZyI//tpFXth3Us2rV2L00ePsjBNyhHiynNu33CmRnlQeHecPrgXl8+exrY/VqK0qJDlSu44dgQmpp2/9rWNlQiJRxVpFfXiRox7fDV2DZwDN3cnJCYo7kPi3VfeRlhEGHr2U60dPWqw/13fZp7r09bj1i3MDV2CnLBmw1nMnjUAYaG3r3Gblq6oSbxy3SkMHeCPYH9HTmN687ZzWPatagSSJigFqrqyGs+/9S4uXTiLksIijH1kGjx9/TBm6iPYtOYP2Ds5Y9CosRjzyAz8s3olXp41CfNfeQs9Byve1eZWrV7rrb98j3GPL4JZm3EPM1Rmb/rSZUxn4MrBf3F2iyL9K2jgaBgIjdhzubmJtBcUn+z/a98bJQ2oKMhBaXYaTq5fzgYlZnZOCBk6EUGDxvKGcweRVhcie/+n7LuRjRdMXLrA1CUEAjPN70SZpAblsdtRnx/TOlJXH7p6QujoCyFvbkKzRD1iSWDuAkMbPxiY2kLfxBYCUwfoGqhHKGhCLmtCdfrRa6vj9ox3Juhdvvuv1TiyfROmLX4BPQaPYNenMppNiYHAABbWNtj209csamzI9HmYuOgFlBXkMbHV3KR4pF+Jwpgnn1eZT0b3hVQCA6EQtRXlaCqqQ3V5OaorK9BQX4fIoSNhbWWF3Iw07Nu0AZdOHkOvoSPx9rKViAy8t22eOw3llmurR3A36Ezbct+IeSlDp19++WVmLF+4cAEvvPACfvnlFzz22GM4ffo0M3Lz8/NZWLWS6dOnsxtt48aNLePIqyyVSlXCttkG6ehg27Zt8PPzQ2hoKI4cOYL+/ftrnaOsTIrPLomGmZnpTYZeizocet2WgrRkfLtkPvqOnwr3gGAWuluakwlXHz94BLQTMuAwyFzNNOSTtblmK8pK8ffK5Yg6dZJ9f2TeY1iw5EVmjAh0q3H62EmWqns5Ogb/rPsbG3b9A1dXO+zffRApiSk4dew0O9ZVlVWY+egMhHTtArFYDIlYgrQSGaSSBjRKJPAM6sKUiWnaguxMGBoZq3gZOhJ6zRV+1hF7lGuZXOemsjAfekYiGLUpD9Y+9PpGJa46YihzzX/Lodccxyoh6hx2/LYcb/7wK4TX7kXCXiS8tdBrXW4hKV2dpuuGXlMolLi+Hm++9CqGTZ+DLj37qkxbwRFu59lGoTIt/irioi8yLzkZzPvOnlKZ1kqYofJ/WmouFj35Pqoq63D23PdM6EhT6HVlVQNqyqrh6mxy86HXXKJZRLtppdIm1NsPY/deXGwSPnl/GUpLylFRru6lJC/zINck9WVqCr3mEt7iQ6+1Cr0mMa+kwmYEOendMPS6vLoBfZ7ezr737emNU+cUHR6xl3+AgOu5wRF6Db0bh0aKxVLs3R+DvKx8/L0tCs8uGIgZkyLY81VHZNliKH/8+TbsPRADXx9HlJRJ8OyLj6Jrt2BkpGUjIz0XqanFyEzPRFZGFmprauHu6Q5nDx+4eXojNvoiCnJzEdmvP4LCujLBoJXffIHZi56BhaUVM5QlUimLpgkIC1c9DhyhtDKusOHrhF63R5NHmTsc+dZCr6m+c3tkpVmwcG9NQbpR6PWNGoxk/K54ehIGz38F/n2Gdij0murD58RFI/HkfuQltBpsC37aDj0Dg9sWet0ertBrrvDczhB6LeYQ41KGXssaxcja8wGapYq0IH0jMzSJVY1bm9BxsAoazp4HkqoCFJ79ExYCKXPitKzXyBLyJgmaSURR3npshFa+MHHrAaGlO5um7TNF25DY9qHXZCRXJf0HfUNTBM/+UuU3TaHXXCJddyP0urooB9H//Ag3VyfMfelNmFvbtPzW3lAmKkpLsPffbcyLnJeWjI3ffAIjExM4+QbBxS8YplbWTPSTtBBc/IOZ0O2pbRtgbGYBcU01y1m2sraGmaUV81JTWyD23GkMnzwd+zZvwJiZ8zBw3KSW6Bd3M/XriMujzBV6HXMxFsP6je3UYl5pU3rA9DZpYdwOahqb4L31Qqc8Zp3WUBYIBEy0iwxiJc8//zwzmMlj3BFDWeMGXTOUyTCeP38+E/U6depUhw3l6HMrmChYM71g2MtLp+WhoKen06r3pKvHGhLNbQ0jXT3WOGLTXRslbTZhaoyy5uZrS1Ig0XFWy18j2/nvX5ejICcbOnq6sLFzgKWNDZLjYvHs/y2FscikJf9D3E7hkeosW4uE7IGhpLFRyvbDTFDAGuXHjpzH0cPn0H9Ad4zo64BX390MP287dAlyQZ9IH6z4/TBSMsoQ6GOLopJqTBoZiH7dPVoa+NJGOWtEElVVYmw5mITaWgkEAl0IDPQgNNCHUKBQQo5PLYW+ng5EIiES00rZQ2/CiEBMHa0IiZdZev0/e+cBHkXRxvH/9bskl957Agmhht57702q6AeIokgRLCBYQMSKYkFFUcQGKKhUKdI7SO8JkFDSe08uV79n5lLubufgjgBJYH8P+9yxmdudbbPzzrzv/4VGraMqrfQ8k3oLBGXnhTTAlcdRqJLS4zDrS4gkEBI3VJPTT46X9gJMCkokEkjE3HJk9FNrEJidv4LcHOjFEpr+qfw8kxghg8mVI6rQAov6kXJke6Ypo8h+yXGQBl1Vpt5KPAbKcxHT/+sNtJNTXq4cHdmeXgeB6R0jFhvLmT52ZPbBohwZrbWs38n9e1CQnYXug4aaHYeznLxATe4XtXG/EqHGbHtkv2JBZSdEo9HQ6ykTFZqVI27BpH6iMkPZ9L4v1rqbbY+4+i/+8Gs07dYL4Q2jjeel7DBkIiE9L/Q4TI6XCIGQctt/W4HE61eN63Q6fLjsB7Pz54CUiv1mZebgy09/REh4KM6fOY/xz/0PzVsbDQxyvEpdTMV+jcemR2lhETzdTZSnNXroNFqzciROUkSutYlBWvF8mHSgKsqR+pUpSVeUM7lPpWIByMT6raQ8HDhxG1dvZuOpIdH4e8cVuCjlmDiCGCaGinIVh6vVmmzPpH7Qg3ppm9wuai0pV/l/Wk5kqKxfRTlyD5p3jojNJ7KIG6blLDZI60ceN5P7nPSz6GNuci3J9ipsiLKyFeVMj0NUZvBQlTWL7VnUz9LW4pQTWmzPslxZQXIqM4oECHEXcI5XLxSbn2cR8P2/8ThyyqjOGt3QDy/+rwNRR2LeLxmpmfh+zQnMfbELVXWm103maF6OdKxN60fuv3ILU6NCQlIuPv1uH7q2D8fYwU2JslZZOQN0OgO0Oh2uxmfg57WnoFKpIBaLEODvDnd3J6jU5BkFwusEIiw8AO7uzhA5BtMQhkvnLiDhVkKFUrGXtw/GTX4Bf/76E03b1LlXbwRENTZ6gJjUj7RrKnJyTI6XGm+WAxAaNdRlXkqm5chzbmook3KkDqaDjhXtgUU7aXqfWZYTWrQbzHJl96RGb4Bea97uFmemwi0gmNMOlZSSdpwch+kBiyEgN5ZZ86yBgDwzAmLwFePo5r9w8/IFtOg1AE279a4op9doIABpryq3J6T1E5oN05cfL2m7igry8ceS92j79/TchXB0ceWeF7PqSY31g6FisMLyeMn9b1quos2wOH9FJWoIRMb6mZJfUMzZrx5iY05h8xMDDWlPTRCIxFBpSNtpUk6vRXGByuz9S4IxDQKheRYHvZb+zsnUSKTPqRAlxaW4vu9P5CbEUqMrotsoKH2CUVxm1BsEInqvJRxdj6J04wArKUf6ZuRdFlS/KcQe4Ug6tx/+zXpA6WsUqivML4XAQM4dOS+VdSHbM6svHWTWkwbRbJ1OL6THYSoWplGpOdvTQQipTGLWJpL9eng7cO4/crymKY8MOuN1C/aqHPQ19jeE5lkoyPUtaygdy7RfxFIJrpw5TdM8BgQHwy8wGK7uZACgsk9M+jrkfZ6RloZvP/0YvQcNQbfuLWgaQHJfVoYJGKigIWk3TPsvZxI0OLV7G27FXEL7AcMQUDcSjX2AmMvX8MuK3xASFoz01Aw6+RIZSdorP/yz5Rj+N743WrWqB4lQbSbxFReXhlWr96NDuyh0aB9l3m/X6cwMf2Ocv8Gi3TVe84pyGj3td8bGZWDEqDk10ujjDeWajV1DF8T4tXSTJi7Uf/31F/3u62t0i0hLSzMzlMn/mza1P07hnXfeoTPLJL7ZXuqEusLZ2SR+01LopRyTfI+V67ijUSo92z05p5SrKOmokmHmoo9QXFQEF5MZ81+++hxb//4T0998B8VFRuPEIDXWMTcrExKpFI5KZ5rWh7inmKafITgJgJFDXkLTZlH4+vs34evnCXn+BcgkWhw8cpEuq9cqUC/cA1OebIgxgypjRClqxoioXoYO0RaqjSYvTtLgnLyYQjv9+4+k0XXBvjKEByqMRoqXJ4qKVJDLpbSzPXXKZ1A6O+Dtj5dwdlWic7V5lpg1Mi8RWkkzYjFQmpORDp1EBkXZgETFodoxe80S6CqykrLJ2jGwIEa1LbPMrNng7JwcBIWE0xRKpriZpL0yRSbizq5IhNx4YoU4m/l7sYA7Kp2vroytzMzIxBuvvIF6nfuiRf/hdgu1Pf32R/Tz8D8bsO+PX3Dx/Dn0Hlw5COBJBwCMrPjuOOLjb6BJi2h8/PVHeOvVt7Hx70348PMPEBwWDG9kmm27oFCNohwBfDzl9z5zSzpuLDRWUjmZUCdAju5tKtvA/p1MYlJZAlesNEp0vW0CfFanl7SMG8nCyDH+nj1bwhxGtSr8ZaObVlXVyG10B6PpoXIFCPMU2JQW5np8ErKysuj3PQey8M27/Tgpwq7fyEBubgl2H7iAw8djoJ7UAg0iyjxsHFxsqpdKpcG+vfGYtcAYT9yzfWfUCXZkvoua1ndD286NcPlKAnbvuYCLl27j4qXrqBcVjroRQUhJScGpk+eRnJSO3NwiOLu6YP5HC+Hq6gKlizMNZVAbjPVq1alLxXYzitn3FctzijXzay13Ohkcs9W7xlbs8f5jtcXEE44IilmiYNRLa8WTiLwSc9PTsHSaUeW+Sece6Dhmglm+aGttubX3GVnnRTz0vv8dcwZ3w2evvEjXB9SJROs+AxHZvHVFCkIW1lJRsfalYry7BIzZd1pWwV2vtZLiy8DyFmDMMmsM7FRUAsaMstDdXHejKDsNOz5/mX6v1/tphLbtZ9w3ud4W2/XvOQXOrmJc2vIjJHIHRPYYQ5XAkZ+KEpE76kYYQ+LKa60uZdfLVjdUHeMeUll7x5gIr1bgzhbilHuZzzSnXLuEM/HnUVyQTwdXigsK6CdJM0rW1WvaAjFnTtLBfjIL7OnpST+lMhnOHz+K3sNHIfbyZWzbuJ5mpyjnrU+/RIcuXajw3/HDh3H75k38sPQL5GY9gZlzppvVwWj8m3Px3CX89NHHCG3QBBPe+6Kiz6UtvIxvvvgWH335Huo3rIeiwiKg5AoCA71oP/HJcZ3g4WE0VkUW17BuHQ/06VnP9ve0jYKROmvv8xoE8VqoWWJeNacutcZQJrPFZIbXFBJLXJ7GiQh7EWN59+7dFYYxGSk5fvw4jUW2FyIcRoS95s2bhzp16qA2QYxel7K8nAStVoNj+/YgNSkRt+Ou008y4tmhz0D0Gz0O3703n44KN+vQGau/+oz+ZuuxU3TGsBxVSSlycwpw+WIctm7eh2cmj6CzDG1bhqNH5/oY0r8pIuv6QFjMNnzuBWIMt2rsT5fnx3fExn8v49e/TmPt5vN4cmhTNO7sgSGD5tGySqUDhg3vhF9+3oFX5xfDwbH6hKYeRcgI8sVT/yE3O5PO5pLcxd3I7LIVQ/lBQozkGc++hCEjhsC/2+h73k7yjTis+/Jj+v33FcuRdOsmmrVth+iWrem6M6cuYumSH3HxvLHdGT/5f1AqlUhONIqjjOw/Cmv/+QPeNU93jecBcSO1EIUlGmpvkxkF4vHSKNS1ynGeC1/tjZEv/GY2SFgxl2IwYOWaY/hpzTGEhXhAVaxC3y4R2H/sRqWhfAdKSzXYsuMCNW6O/BePbbsuwdlJhin/a4e2ze+cvickxAt/rz8KtVqDZV9PRkiwF0oF3Fi9rGIfo4eI3MJts+b3D2sFHz9jFMB8f8vB+7pdiVSGJduPIDstBVt/+g6n9/6L9d8sqUh7OOT5mXfNvPAoQ1It1enyBOp0HsZVtmcglsoRPdw46FDbUZcU4eifPyLh4ml06Nsfbt6+CKwTCQelM51UUbq4QCqVYf/mvzFl4cfwDQxBXnYmdIW5dPIlNzsbQ5+aAG//gIoQr6HtW1DPOcK7r8yAwsGBnlc3D3caqiEWixEQeGexwdJSNVZ88xN2btuNQVNeQwOTsKu8rAx8MvtNvPbmLGokE4gWjpuHV9lMv7DCSOYxh4bg1KC4YF500IhdPexZs2ahffv2eP/996k79X///Yfly5fTpfykzpw5E4sWLaJ5k8vTQ/n7+1PX6Xth7ty5NCczEQobPfreO+TVTWZaGjWOR058Di07dkZ4ZD0U5Ofh79Wr8MYzT9LY34YtWuHY7n9p+c9W/GxmJBMcnRwwecoo/LTib9RvWKnC+u4b5uf2QclQOTnKMG5YM2ogHz+bgNXrz2LJiqNo3aY+/jt+BQUFxUhLMxrpC+ctRHFRCc6cPIODZw88oBo9XoycPA1fvfka1v+8AqOee5EKYhF3pqefsS2X7/0kLSUNpaWlOLTvEKLEXjQfuOX9agsyhQM6DnoCpdnpiG7ZCj98sQTrfllJ09hoi5Nx5OBJpCQb02kcPbsJWhi9EnYd34mebXrR76MGjMalkx/SQSOeR5tSjQ5D5+9D4zCjYXz5Vi7EIiG2vd8d7oy4PnsgBrCriwKOCinmz6oUpMwvUGH+R1uQmp6PdT8+Cx8y26MqwMnziZj1zj/44scj2P7rBIRGWp9RvhqfjjfeM84gj32iJb55fxii6nrD38e2DmPbtvWwZesprFp9EJ061EfrzlzDSSwR04Xn/pORaHTJf+ETo9r9g8Ddxw9Pzp6Psa+9jfiL53B40584f2gvFQn1DAjCix9/BWf3ypjRxwWFizvqdnkCjxu3L5zE/l+XIjS6DUa/8w2aRnKF/8Rl3n/Dnq0cGCAxwq53GDz/actOXLt8Ea4eHlSzwMvTg848m+Iksa64f+VSLBa9+SHq1Y/Az+u+x6UiowFMIKEJP86fjTFPjUSnbuaaJTw8tRW73qqtWrWi8cPEeF24cCE1hEk6qHHjxlWUmT17NhXqmjx5MnJzc9GxY0ds3769QgjMXtzd3TFnzhw6q1yb8Q0IxN9HT5utI/mWRz8/DYPGTUBhfh4d9Tv/31HsX78WDZsaRVayMtKxY9MGXDh9Glcvn0PDRhFYte4T+PhW3wuTdFDbNgumSzIC8ee6/YiKCqZiYSqVGqGhflC4huHzD7+g5ft06Ist+zZzE4ry2AUxRGcv/oIKaJA0De179sb8KZMwdMQIKB9yzE3DJg3xx5bfcezQMaz8dSP+/WU5Zi37jRMucDc8fP0wYtoriHR3pMrXxFCeOH0m/vjxBwwY3BWr//4auTn5iI+7TT0wWF7DhN//PIaxI9vxaZceYXaeTsHp69nwdZfj59kd8Om6y8guKMXX01tXGMl0FvgeZ5adHKTYteY5bPr3MhZ/ux/zP/2XqpoTF+6h/aPx0fxhVMOBkJZZSI3cgT3rY+XaU0hKzUdopPVtN64fgP69GqFxA39MfLI9Oz+2BYXFpbgcm4bwJkq0aR2BV2YNwfYdp3Hg4CW07mzMW1oTITnUSYfZw/fOs1IPjSp6GhCK8nIR2aItgi3EOB8E5P6t07gpXYgK8LGtG7FlxddYOG4ImnTqjtEvz4NMbrvqMg89q7XmNKhLCrHnx++Rcv0yekx6Ff71Gt/X7bu6u6NVx84V/5fexdX3Wux1HN53BKnJKUhJTsWtG7fx8twZ6NKjk7GASVO27eflyEpNRm5uHvbu3I9O3TrWmAHsWnEH1DDXazMF4ccYu8S8agPlQfG5N5abxyjbGMdAYbj3CCRWDH2LGDaKhDGzYcVlKF9b6TNaWFCE31dtxs4t/+Kv36ZhxS8HsHrdMQzu3xQd2kagWZQXndU1o5ibzgBqduwROzaRcV60Vnz1rMUmsvDxh1arR6Men9L/DuvbCPM/fZtTLFfNjsHKLZXbHJPlJjePCcpMS4ejI4n3toxRZhtxJVruvlixZtZikQsYapLW6sqMoWO8SKzFuuVbqLKu+nIx5ApHDH92CtKTE2k+6MDwuvALDoVHmVKoKYFOtzjrnCTGGVtLDAbuPZtSzM1pnFQowLvTnsWISS+gfrOWFetzVdxYrRwrsZFeTsYwBZo2QiqjsVZChtFtqrJO8sYSAZPx/YzKs3NmD8czE40zgfkFpShKSYavt8XzqbYSk8aKK7P2HKlKbX9mbH2O7Hm2mNu0FkOotq2u1uKG7alXVY+BhbTyHl66IQYbjyZi5oTWOHMlHav/uQw/L0cqYlSk0lCjtmsTH3w5tRUtTwzcm1lAHS/Gs8S4twQKEwEdgwFJGUVw9XWjBjRx8b50PRP7/ruFvf/dpiKHz41uhhfHtUTrJ1bgtWfb439PWplBKWv7/956HoeOx2PJO0OBQsaMjVNlvOLHX+/Bus1nERnuhcS0Qnz80UQ6q/zWW7+hceMQDHxiGOfn5UJ7lhRoPDjrshhxpAQVK273DjHl5Hmd1q+y0+0dEID0pCS07NwdUxd+eOdbyw41bRasJpL1++yEG/AOCbdp/9ZUq23df/kMny1l7dkX6a/+ufJ7rP3BOKP9y86DcLaSSo+1XVZmBiJ8xoKV8cFa1o8cRhuvYrwPi6zcb0YxJq7XCGc/DCVsQlYOtz0vzOO22+LiNIg8uPE5Bbkqm1S7CSUM5W+JjPvudnBkq1OLGKrRvkHmXiipV07i4uYV6NynLwZPmGyW3YL1PvdSVApx3k13pFyc0xKpkDtoVy6hl5KShXFj3sGw4Z0h924Bb18/hNeLgqNTZQy1g6Ty3srNycGls2fx9UcLoS7VYO2al2moCKXUqFTO3ZkdD72t/XhGuTMX09C840s1Wszr5rj2cLaSnaU6yFdrEbrqSI08Zw+TmnNFHmOuXLqOv9Zuw77dR9G2Q3O0aRmOvsM/pcbxhtXT4eNtbEwNpXefhahJiMVCdGkXjv1H4xEe4k5FHEh8yoOG5OfW6x+PW3vP+nX0c9/mv2m8EslpvPbbL+Hq7onegwajY88+cHoIDVx02w44e+ywmaF8LxAjuXz23NpgQzlOZSkjZr//MS4dWovl3/9LhZJenNKPqlxqamAubJ57I7dQjcz8UiRlFqNttD9aN/LDiN6RcJBL4KCQ0EG5sa9swITe5gaRlYwoNs3qBXo7AWUpWV5bvIcqmPdoG4pp41pg3mf78dTQJlDIJdj181N4dt4WZBXqMPO5TswZbWJ4b9x+EX27mQvxsTh4PB67DsRi799T4eQgw6mbarzy6o9wc3NCXl4RnnuuD2oKJMvA2BmvIflmPEqKChF75hQV9Bk8fhJqCkQ9urZD7qmRz0xGl34DMfWJgZg+agh+3ra7uqtVaxBYS/VXQ1AX5ePilpXIT7mJFmNfxshRlaEf1QXJdvHqrK/wzLMD8NTTfRCff/eZbVc3N7Tv2hW/frMYL746tNJIrgGQTBg8PPfC42FN1ECIMMvGTf9h1ZqjKCosxvBR/dCmXVOsXL4WeS4ifPf5eNSvV0Nc16rAsveH48DxeKz4/QTWbpuJp8cPxKAhXaBQVC2ekMfIkzNepbPHofXqw6FslJekySAKmCRlw6pvv0aTVm3QbcBANGvd7oEayssWvomxU1566Jfmkzdfr0iF06snd8abp/azas8NrN1v9IYYP/cfbP12JHw8HZGUXoAZ7+/CxWsZmNinDppHcGdP7wfnYtPx60eD4OflhD3Hb9GUgkSfYfZz7eHj6YTv3xuIAc/9Dk93Rzw9ogXn93/9c57mRx49xDxvsSXE4H/7o21YPH8wNZIJLVtG4K8/5+LmrXQ0bxZORf2KdTXHgOs6xChyRfj9y49x/eIFvD1pHKYvWozmHY1K28SIPn/8CK6dP4uoZi3QqHU7SHn3YbspdwCc/va79+8i8lQbJO1T0vlDuLJ9FYJadEP0Ey9CJLZf6+NB8Pvvu+Hh6YJxT1WmQLO1TXhz7nAseHcdevVsws5Dz8M+d8IaJuZVg+pSnfB38EPk1q10JCRk0jyYJ05ew4oVOzFz9vMIrxuMpZ+uRGJCKma8MhH92xpTLz0KkJQKXdvVocuJZFc8PfYNvP/uD5g0eRimTh+NE0ePo1U7i/RUPDbTY9goxjkXokGL1ujUsQNNQ3Zkzy6s//UnfP3+Qgwc2BEDhnRD3Yg7K+3a23k7tH0LnE1SoT1Mft97BKO6tKXfBw5ehI0b5sHH+8EYTDzVw9TB9ejSd95uxCfmocXIn7FoRifM+mhPRRkfVwU0Wr0x3/p9hGyTuHh6uztQV1FiJLu7KJCZU1LRTp+4kAxvTycas1zOws924vB/N+Dm6oDbiTn47eunmClmTCF/zy9UoVGUuViXp6czXWo6Y6fOojHKCyb/D0vffI1ZZu/GPyu+9xr5JEa+MOORed89aNKSElG3QSNEt3lwg548Dx6DQY+cuFOI+esfyJxc0frpOXAJ4IYHVCf7957BxEn97Xo2b8XHY8miRSjOS8at25k4eiwWXTo/+Lj+RwWhSECXmkJNqkt18ugayhqVed5ga7ENrPWMeGKDtdhGVcFd8zCTztWva4/jgy+MitamfPjOlzRJ+pQJHTHy3Z6QiPVAbipbuVqrtjHG2Mp0AzM20Y54SVtjnAm3bnBWLXzL2KkdM7AhDu7cD0nBbXy75hSuxPzAKesqdbYaN2OJziL2uECcCQ+ZCq4WMxYGsEUlCjRcBdkSLTfns9RK/9uBEe+oNchsjgFk5SR1kbEfTaWUewx5FnHLptsVyR3Qqf9gupBO1t6tWzBtykfUTbtT34Fo27MPGgT6MH/vIk3irBMJ1Rwj+Y9vvsGNK5cwb8lSyE2MFF8n7jnwLHNlvdd4Q1b8HREKPHByIxbMXQyNRoMhQ9+n6/5e/TIECvN8lAatlRzILLcsa3HHJCekBQZmHmY7XL2sxDay0qGQTpbNdWU9s/bEUz/MuGWL54jcW4mZWgR6kfQlAqzaHY9bacZzH+qnRMu67lg8owN1sU/PLsbmEwnIKTVg+kiji6BAb4BBUGJ7Il5WXSVSpGTkwdfbCSK5HO9+tR8XY9Px/pzeaB0dWFGsW4cILPr6EK5fS4ZMKsK1m9k4euIGvn9/EPLyS6iSdri3FCgpe18wciYTbQvSuSwqVuNyfDaaNwm2Gj+vZ7SFAgH7XEstnllCeaoYW7QRWG2W1GoIjRhKBwW+27wTBXm52Pr7KkQ1a476TVuYqeKXFBfh92VLsXPdarp8vm4zvHz9mLGw1vQaWPHAKsb9rpAI4cxoT1l6EdZipKsaY8xqt62fQy7lOWw7d2xHF4JIwHYp1xm4M5JSEbf/otGzBcG0jLAlmYjdpzAw3nO38rknMYcRX2t5vTYt+wzH/vkbPV54E8HR5oPnLmUaFpYoHbnbTVVw62/IkkPgwtUiYQ1cubhbOS+M56CIETsts3KsHt6OdAY5+cIxxO5aC6mjMwY8PwvBDYypVE3JKOY+sz6W+jQ0PjiTuS8HETdGWWhg9B+ttC/pxZ64dPkmGrdogVK98dy7yRh6OBYaJ9dyzkEiUOH7JU/BxUUBZ6Wiss2z0gdnvjut9ddZLvQ2xi0bNFbe/Tw8j62hXEO4cjUVw8Yb02eJRAJ0bGNM69S3ewP06hqFq9dSEBHuBaXTvamC1yY+mdeLzsq4uSgwYto6aiQTkhIzERDoeX/dV/iBMA4+AYEY/szzGDrhOcSeP4OD27bg75XL4eiggEQqgVQmhUQiLfuUYMKEXujUhetGStycr1y8jMP7DuHI/kOQO7nijSVfQeHoiOpCJpPigyVv0O9D+4xHTnY+xkz4iopkjB7RFpP+14W6vtbxrhkKnDzWyS1SY8nGa4hPLcKpOKPoFUkHlZ6rQqfG3jh/IxeLX+qIpIxCuCpl0Oj0GNI5DCO7hmHY69vRpZk/mtQ1ehTcjwHx28l58HJ3pIb7qQsp+Pj1XjRfvSlEZHHy2Jb4bMWRipH491/riWB/V8CPMehnoc5N9Bv27LuC6XP+oP9PSMypNJRrKUoXV4x+fipTa0Dh4IiJr7yOp6a/jJWfflCR1/VBQHLO89Rszh/cg/gLZ+BfJxKSB+GSb0P+5QdN8sXjiNn5ByRyBzQZMgmedRohOLh6vLDuxtkzMWjQsA59r9qDXCGjomVBgWxhwerkbt48NQHe9bpmwhvKD5hyI/m5p9ujQ+s6aN081OyBbd6Erfr8KFIvzIOpVhl7NfG+GspisbhWNIosSAea5EaGzHwm9H5CXLPJDA9Z1KWlcDVkQ63R0O8atQYajRpbN2zGpYvXOYby8i+XYdvGrfD09kKHLh0xb9FbcAmOrlGuk+PGP4H8/EKs/nk9/f8ffx6jC6FOiAd+Xfok3N1MFPF5agz5xRq0m72Xfh/XJRilOgM6N/GhyyfrLsHVSYq8QjWemP0PGoZ74ExsBoJ8lejQxB8eLnIsmNQSs78+ii9mdUTdQBfcj/C4rJxi/HcuCXMX70aJSoP9x2+ibrg3NFodbWckZbOzYwc1xuCe9ahRbQkxhGPiM+l2yHLqYgrqhXtgzvMdqcfRqOlGUT5C90714ONd892s7wcSqRST585/oPu4l/zuPA+P3Iw0/LP8C4yb9x5+WvAavMLvLnhnN8Lq7erqtRqc37gCcqUr3EPqIencETi4ewM2GspkcDo/NwfOrg/HsPbz80JqapbN5TMycnD08Dns3nkMOsbMe02gNqSYF9Sw9FA1qS7VSS24dWo3MUe5KZF4gD+/GoEOo3+ip2Lf3vPo1KkRCgtVVNn1cebW9Wt4bfwYrNr6L7x8uC7h9xupTAYPJXeQ4vTxk4Ce+6L09fenL+0nJz6Fbr2703XpxTWrMR355GAUFBShUzMXvPbGr0hNy6v4W9ytLOQVqHhDuYYx+9dLyMhXU68bhVSEOr6OeGVoJBSuxvZg9+kU5BVqaC7MtR/0Q0SwK41FHvbaP3Tdmh2xmNAvEt1bBiItuwRTPzkAL1cFxvdvjDBP8xQs9jKoRz3sOhyPDTtjsGn5WHyw7CC+/OU/6qHg6izHwB5ROHMpGbcScyGRCNGzQx1M+18bqvC/ZXcsjp9NwOlLKQjwcUaraH+M7NcQ77/WA/uO3cSMd7YhOb0yfGfdyufQuAE3jQ0Pz6MI8SRYt+Q9dHriSWQk3UZgZH2qpP6oIRRL0H3Wp7h5fBdNe5gacxqS47twaf03GDRtHg7/9QsSLp+jYTVewXUw5Pnp8AyonET5asZEpN6Mx9+HT0D8EMS+QsMDaLrSjPRseHlbnx3+c/Wf2LphA7Ky8tC2XRP06tMO7TsSV/KUB15HHp6HxaNrKJO4C5343uLSDJqqufRYiTdkworPYK2zJ/+p1XhFbdVinBllmfGS1rabkFjxlTS9f77dGSMWHoAjCtGk8Qt0/ZaV/0PdUA8ovEJtPy8WuayLhYUo0NSBQWM+a6iUpDJ/7iq4ylknk/px1qn1jjbFSBvXsWOUFYy4NBIrdvHcOSx4bQ7c3I0vpd++/RRvvDuXU1ar525XL7V9drRAzT2HxVru79V6CQQ6JfI15ueh2+An4RvaAF9/+B5adh1E10mE7MA+B4nI5nycLFgxfAqxldzGFsRdvYlXZv6EwsLKPJML3n0Bq39aj37jvkePLg0wbGBz9OpuFBoxqIpsfg6YuYnVmgeSV5h5Zu3SFdDa1j7djxzI9iTBtcDfRYrNJ1Px5ZSWmNhHhCZhblA4SIDiEuplMWvZf/huSgu0recOobNjWfsO/Pp6Z7R9cROyswsrjmts33o4dD4Ve04loWRzLPq27mzb8VrESB88k4QzN69CpdKioMgY3zZ48hosfKkzlr8/CIu+OoALsekI8VdiSI8uiKrrjdJSLX788wyGvbCG5l9uFOmNEQOa4IO5/ahRXbkvKYYN9sSwwS2Rm19C05r5WtEKgJqbf9TRgRubKCyLY7VEQE6U5ToBV4OBUKDmti8ShneOtfhclpt1qZVHnuX0w4olvlMeZ1ty0uuEQsgYbQlruwqxwOa2yEHMfealoiKb44ZZMcascsZ9cWNOZUJ2zKhK52qTvoee8d4iZJVyz4tax3ZfD1JyjyHCjRsLmlDA9ZAqzM/HL4vfga60BElXLiDlZjwmvD4fzgGuNnepiHeJJWLGtVIJFJB6cN/fRQwdDWv7UqsZ+iKejJzP2ex8wf5+HvAfOpZ+z752Btf3b4QBBqx6ZxYUSjf0mv4uRFIpbp05imWvvYh6HXqjWf/RVAXbLSSKGsqnLsbQFJDl+JYp43OOQcTqV2qs6/lY4OSQhXZtI3Hh5FEMGmyMF5cx8i3v2roZ08a3Qq8uUSZefDdgUFcxN7I9/Upbf/8AwzvuF7zrdc3k0TWUeWo8DUNcsfrLUXj1vW0V6wZO/AUxe2fhceO3H35EcGgoBj0xHEKRCF8tXozbN28jOLT64hStuVNHNY6matpJt28hIPj+qWffD8hsd7voAZBKpXR578Np6D+wMrftgV37kZ6Zj+5d6uODJVuQnJqL8U92qO5qP9aUqHX49VASpGIhdp5OwYhOwVASI7kMcu0kQiFa1HWruI5XE/Owdu8NZOYZO3nLN8fi5acrc3i3auCNY5fSmIJPLIgxHnszG4tWnEByZhF8PRxwOiYDAT5K9O0UjvMxafjx/YH4ZvUpbN0fh1EDm+Cdmd3MNyIQUjfsGePbYtzgJli39RLNtezkfOeBLFdnBUAWngdCDYoK4Snj6oVz+Grhm2jYuj0KcrJx7vB+vPn9KgSE1UFWce3Pe303ukx8Bckx55CdfAt12nSDm7/xPUrEvvzqNUZhZjIu7tmEq0f30PtX6WEcREu9fdPMUH6QtG0bhWPHYioM5XKys/NpPvfCwhLodXq4uzrUilC3WtEOkPNYk9yda8F1fRjwhjJPtdK8cQC2/zqRNrQ/rDmJ3/4+g1MXkqBxVKNxw2A43YPIGWtWo6YzecZ0PDt6LHz8fDHnnQXISruNFct+wjsfVY/rvoOjEw7s2ItBTwyGh5e5azYxVtp17YEje3dj5PhnUJMg8ddvL3oZzVpGw0Gigo+veUzXsiX/o5//7rmIpJRc+PuyZ9Z4Hh7E1XrTq63w8uoYbD6eBLlUhNb1zO85B5mIGtTEmD54PhXPfXKIrl/8QmtM7BcBPw9zY3TCwPpoHOGJGZ+fQqcXN0Ct0aNDE198OKUNpBazjhfisvHS0iOICHZDbkEpflnQC1l5KsQl5SMi0heN63njpfGtIZWI0L55pdL1nfBwc8AL41pV+dzwVB3SmeepGWg1Gmxa9TPW/bAMnr5+OLF3JyKaNMOUdxfDP/TBpUey6vlWTTi6eiCibXfoLPoqJ/5eiUu7N1T838nNk7ptD579MVKObETK7ZsPrY7EUF627B+zdQkJ6RjUfzbCwvzgpHSAp5crfLwenJ7K/aQ29gt5aga8ocxT7ZAOKCEnrwSZOcUYN2Mt/f+/W9+8J0NZq9HDIKlZL8a7EVa3DvoMGoCMtHQUFxWhfed2+OPXtYi/Fo/wiIefX7H/EyOhV+fiuSefwcy5r6Bz9y5mf2/bpSt+/PKzGmcoEwYM6YX8vEKoi9gucITpr62in9Ne+w2xpz54iLXjseRqSiGGfHKy4v/bTyZj4f+i6XeiaB2bWEBd0ItLtXBxkMDLVY46/kokZxajUZgbwvzYHbXouh74dHoH1PMV0djnJ97YgbW74/BUn8iKMoUlGrz6zTG0b+iD3WeSaQoYtVaP6EgvusDJ0ayN4ql9EHFCnurnwonjeH/Wi/S7k7ML+o4YgyZde0P5EASqDNraMUvdavhExOz/BzqtBh3GTsHpf36He6AxDM0/rA6O76z0vnvQBAYZBysTEzIrviudFBCLRfhrw3t0UJogzolFbUCjqfmGMu96XTPhDWWeGsPAnvVwMTYVpy4kY+lnzyAk2AuPC2SW9rX5b2PxO+9ieM8+NC3D05PG4fuvf8QHny966PURiURUsKtl21Z4d947OHrgCGbNe4WMheN6zBV898nHaNycmzqqtvDHT1MwbtJ3aNPy4Q9C8Jiz6lBlvu5NC7oiJbsY32y5imNXMnHldh5CvB3Qv6Uv3BylWH80Ce+uvYKGYW5YMbsTfN0dqGr0hsO34OfrgnaNfc2eKRdHKVyVIiz5/TwV9xrexfx6f7P+Mm6lFeLdZ1tiQJc6dBbayUoeVB4eHtuJuRSDyxdjkJqcitNnryLm7Gm6fvqC99GuR2/6fOaqaocB+7DIz0ihRjIhuFFLnNm2Fhk3YqEqyEOd0HCk3LrxUOvTpk096n49Iqgj4uKS8PJLSzF8RJcKI5nnPkPi6+3Ir/7AqUl1qUYeXUOZCD+Zij/Z43pjj7ANq8GwRx7fVoEua/WyVaCLltXZJtBlj5iYNVjHwNrX1UohrUYCYGhTD2ooT5/1I378dCTat6wU9RJ4WYmHtRSp0GuhlCTDxULkK1/NVpN10XGFcRS6OO46R/bIt57xGBXr2EqROoYYl0hYOePx9qKX8PKcZ/HWq+/gu6XfQ6fVIS7mAqIaGPNvSxmCGmIhVzyFoNJxU8woGfly1FZcE8VCJUIiW+KrX9di2tNjsenvXRBIZfhyodEdfMmvv9PfskS7CAKGuJCjhB3zIhdxhWkUDAEbsYA9O6QQWlxDUQnyc29ALlcg7mYWTpxPQGZ2ETKzi3HjdjauxmdAq9Pj8PHryE5JgZvJNbjrc8R85hnPhtrKTJY1sbyHhh37r6rIlw2/H9XSC2uPGVVSBy/Yh06Rbmge5ozJHX3RPCwSDtKy+0utQiMvCcZ1C8XhyxnoOnMrvFxkyMgz3v+vDI9C20C5WZP/x84E/P7vefr/qUPqQSHQwlCqhQpiNJv4Z0XZ09ey8MKY5rbXX2jHeREwDG8t496w0u6y2mPWU+SgqLoXjVjGjZUu1XMzEegNIpvdG52ktgt/2YNIwP29zsDdV7HYAAeGh5FSyj2vBgO7YygUcNtYP9kpzrpSsN8RJYz3Aat9tCYYmcd4d4kE3uyypVzVaDc517uG9S4hOEq4dS22Miufr+beL0qp8Ry+8co7SEupVD8ODgtBv8EDMGIo8U4ynk+l1NEmQTdrXSKWeFs+4/e5eTJIGANgrNhaoqbPgiVgl13AFcJSOrJV9v28uM9RcYmGxiVfPrQL25cvNvvblk9eQ5N2nSBVKHDr8Gb0mjETBTlZMBTlwcXdw6qQqFWs9esYIleCPKPwadtoPxw4eBYKQzE++Gwb5szohUG9GwGms8is59ie/jZTeMtKXZnCXbb1Ne+LYCXPY8mjayjz1DpuZxSh2EQi9ZlXKnOLfvLWQJyIPYKFC4yqkY8qZJRd6eyEt997BRv/2o7vv/kNMZevVRjK1YFcoUD/4U/gwM5/kZ2dhVcXfYTfli1FbWDrnhi8v3Q3enWKhLenE13OXExCUIArdfUnKORigPfOrDYaBjjh/KK2uJFVijreDhDdQUAkwtcRoz1dcfRKJvzcFUjJNl7DN0Y3QIsId5y7kYNSjR4arR4qtZ52eiUiATQ6A45cykBccgFiE/KRnqdCnQBn6mo9qkddTBr4AHK38tQM+NjEauH3rRuouGJKUjLc3ZVwLAtjqB5qntttaUkxNn7+Hq6fPEz/L3NwRNenpsAnLBL5t6/g5K6tGPLCS1AVF+OjSaMxedYr6DFkBNb//AMmzJrzUOrYtkUY3nh3A2KupuDnr55GnVBuKsnaQq1oBsi7ryYJaNWkulQjvKHMU2P4edcNrN53q+L/bi6KCmPm1Xe30M9LlxPw19rZd9wOmfCrFQqHd8DL2wMBgX5wc3dBn/4W6rrVwPAnn6ZLYVl6qfY9ej2U/Wo1Wly7erPiJVeeUsVSkVsmzDWbZSsq0mDv9rPYfeAifvpsNOqWveB7jlmOZ8a2Rqc24Rg75Tes+HQU5DIJbyhXMxKREJG+d+9I776UhQUb4jF9UCSGtAvAhCXHkJWvxp+HE7DpuFE5m8QTk0+ZRAh3T298+FwLtKnvhWlfHkeDEFe8NLwBgoPcIeLdBx8LSBYBnmo690IhAoICIRTY4Y32ABDUsGc99sRhrP3wDfq9cbf+6DbuBUjklbPzGxbPxQsfLYVEKoNOq624hweNG4/XnhqBfqPGwSfANmHBquDj7YwP5w9Dt0714GDFM6S2UMNugUeSDz74AH///TdiYmKgUCjQvn17fPTRR6hXr15Fmbi4OLz66qs4dOgQSktL0bdvXyxduhQ+PpXpEbOzszF9+nRs3ryZtiFPPPEEvvjiCzg5cb0yHga8ocxTY3hzTEPEpxTiWGwW/X/3DnVRr44Xtu+LxaXYVJSqdbh48Tb6D1yERe8+iebN2PGlRGziUYihadW2Kd7/ZB4UDvYLmj0KECN5zisf4/bNZDrLThCUzQyQ/JOmCC1ynwuFIvi6K/D7sqfogAshOS0fOp0eIwdFo3G3T+i6L1YcxLuz+8KDbwlrPNvPZ2LWqhhqAH+47jI+/usKGgY7Y/u7XStcKEmap/JBFBJRcLtQjEBXA9Yfuo3b6YVoHeWJUF+nGtdx5nlwSCR8zPnjDlGOrilcPXmkwkjuOGoS2gwewymjVqng5uVbMfMsUxhV/R2VSgwY8xRVDZ82/72HUt+BfZrQTwMrXKQWIZHU/DZfICKLoEbVxx7279+PqVOnolWrVtBqtZg3bx569+6Ny5cvw9HREUVFRfT/0dHR2LNnD/3NW2+9hUGDBuHYsWMV/fZx48YhJSUFO3fuhEajwcSJEzF58mSsXr0a1cGj2z0kU1Cm8Qz2xCc8iPgGe+KOre3L5hhl2/fFjEe2FotsY4zzHdffoRxpHpZPaYpClRa5hRrM/PE8pAU5WPlMFNJyQ/H00jM0ri0uPhVjxy3BS2OiMWVEEwiCLfIKlpRAIBNAIDFv2F0kVoQwxIyZrAJu3DIKuTGz1l7CTsICZlmdlJuOqFDDjTUTCPTw9naGt3cDcuIr1zPiS62N1suEhZx1Yka8pMJKTBYLpZQbY21gRkwCUhF3/xKh0UPAEjepedoLDTWSl0EuMmDLuhl08IPuKzuRXTGNeQxhQbEOxUVquInVQJEaiWkF+Gn9ebRoEojp89ZXlNtz6DqUjnvhqRCgbbQ/Gtf1pDl8RUTEwspzIBBwz5dBLLb9GVBzBWwMmocXt2zPi9igewD+atbaJ0asnCmdgp2w4YXGcHOTwdVBTGeNKbm59OPg7RLMXHEe9YOUaBzsjIZBzkjXOuD3nRepSvb3s9qhQYgLvS4GRsylQMroTOezn2Owrrec+2wYN8x4vhycbfYNFIi5MacGFTe+VCDilqPVkhrPjy1tRikrHlrAvY91BtsND6GVmHjWdrUMDQdrGgyseGLWNr0MJxBkqNTCqEDBjSXN1wUx96XWcd8RKaVcMUON3vZ82OXeMbZcF6UkjbPuei5b7PJsgnGg2ZQO4caYVlPqu15g/j6xsJVNscAEVuw3K/a6VMdWps9RcZ9DKaN9klhxAXV04Q4i55FQGgsyCmUQutl2bbRW2ieSYs4SB0bcs0ImshrjTFzR//hgHv3/G79uhEzJjmkngl5N/FypqGZicSZclE7wdjAe17innsSEYUOQd+sa5M0ktsfystqhh5lOy9o2WX1Qa2VtjUdmxjLXghjlWu56vX37drP///TTT/D29sapU6fQuXNnHD58GDdv3sSZM2fg7Gx8B/78889wc3OjhnPPnj1x5coVup0TJ06gZcuWtAyZce7fvz8++eQT+Pv742Hz6BrKPLXWBZOo25Jlzcut8caqS+jx9kEEeCig0epQJ9AFni5ytG3ki7NXM2l6l9qRxa/6yEzPxL7d++Hp5QEv30D4+vnCxc2V475cE0hJyca6dQewetVeKnLSv29TDHxiMUpLtVAq5VDKhejXNRLjhjW1eZvxCbno/7wx5diGFeOhkEvw3pw++H3jOZy6kIiNOy7Rv63YcJF+vj25LZ7sX/8BHSHPvUJEvSJ9HCCQV3ZESSqnpJxShHrK0aquG5wdxOjT1Ac6vQH7LmVCLXbC4sktEB3+4FPQ8PDw8FijuCAf65d+TL9P/ugrKN09mMY3MabJu48YyYSS4mLIHRxw+r/j+PbTT5CRlorCggK89sJzOHT8J/6E8zxw8vPNxVZlMhld7kZeXh79dHc3CgQSV2vS7zT9rVwupzPJxBWbGMpHjx6Fq6trhZFMIOtJmePHj2PYsGF42PCGMk+NxUEmwpKJjXEqLhcrdt9EfHoxlI5SnLuWCYlEBB93B/SdvgE7/g6/p3zLjzrFRcU4d/ocZk83Cn90790NKSnpSE1OQXBoCD799kuIWTNjDxmdTof9+8/jj9/3Y+/ecxXrO7SNRFiIF54e2xHOzg4oKChB+o14zFywBUP6NICTA3sGzZRdR25i9id7qKhT97Yh1JW/fIBg6oT2SE0vQFZuMRp6ifDHjlgs+v4Y/jl4A+FBrmhbjzsLw1P9JGSrsHBDPIrVOsSmFkMuEaJTpCsCfJRwc5LiZFwOvpgUbXS9LpUjzKPmDQjxPDxq4Hggz0Onem4CYvReO/0f1n76LkoKjMbGoOdnIryR9YHevWt+RJOWlbP6xUVFcHBwwN+rfsOQ0aPRrU8/XDp3FvOmT8WZU1fQrAU/qPvItAPEm6IGuV6X1yUoyNzTZv78+ViwYMFd7/2ZM2eiQ4cOaNSoEV3Xtm1b6oI9Z84cvP/++zRU6vXXX6d9QOJqTUhNTaWz0KaQfioxtsnfqoPq7yXz8NwBYtS0rOuGJqEueHHlZew/lQSxSIhbyfmQS0XIzFXh7MVEdGxbqQpN3LPJA/i4Qhqo7Zt34bulKxEQZEwr8t6S99C5eyfqMknOzRszZ+ObT79Ex26d4eTsgoioSrGFh82LE19GUX4W0tPz4ObmhNlzRqF37xZwEqnw14b/sOmf0/DyVEKpVGDrllOQSkXIzim+o6FcHnmxcc9VFKuMrl1vvtDBbBY9v0AFuVyMhpE+QE4mft58iaoln7qShvnLjmDH54MeyvHz2EdsShEOXTO6E59Z2AZanQE/7CftggBPdwlGw+BKHxM+IwiP7kGED/DUKgz6h5uSLzs1mRrHt68YvZQIfcY/jxY9+8HZ3bpy9Pn9O3Hx8B58+2tlLKaqpJgaEtdiruCtjxZDJpejVfsOWL11B8J9uW72PGxqw7uA9E8ENcj1ury/lJCQUOEqTbBlNpnEKl+8eJHOFJfj5eWFdevWYcqUKfjyyy/pLPHYsWPRvHnzGq0rJH6knwrTJ6PKsbR2vGyrGndsV4yy7XHD7Hhkne0xyg/iuGw8r8QkGtYhCCT8Z/GUNridVohhb+2ifzt1IhYdGlfO/mkKVNAVpsHgZBEr5FapqmeKwNHVpngeg8pKvCJrmxY5nMsR6bnnVinX2ZyHWc+IDZSaxCJfOBeLxR/8ALlciiVfz0dkVB2TkkUV8WMLFr2ITz74Dmt/WUl/8+Pv3yKwzKguxwChTTF0pvs3L8u93iKLfKTpaVm4cNbo+jx+fG9MnT4UTk5l565UhbffXUdT+Jiy749J8PVSmscrqcy3qy/RIT+rEPv+uw1/Twe4OMkw+6NdiAx0QUSgM85cy8Rf+26gUbg7erYMwPlrmYhPNLoJEchAzI24NCr8ZEuMMTNnMquclXhkg0latLtR1Rephe7ZfcNgTxvJwkaDpluQEs0CnZBbrMWbf1xDiJsc4R5ytGvqDS9nWeW51wPqUqJobmO9WO1TGHsASeBiFNoxxWr8fG46dx1LGIcRi0y3K+TGPApE3Fe3oSiH+XshIzZPLmLn0JVJ821qc7R6dl11BplNMavW2hdWWSEjltf4e+55keVd5qxLzc6AwY1xvNlJnFVKx2TmvlQuRkEjU0r13KAfB7B1LFg5i2WM3PGsYyJkqUzbcSMRrty4ZUKUOzemW6fnrssoZadEU1m0t7RssTUhJ64nl6+j0KZtEhwZAktOUlYeZdvbFg2jHRLpdfBxlNkUD22trjkq7n2oLKvr8nffxPE9/3L+3mXQcAx8+hm4enqhiNHuNzLJrRx78QJ2/7IMH3z7AyL9yH1ovBdl2muIi7mIiMgQBLrerijvFULuIZIfm5sjG2pGXL/OyjV8WPHI9liq1q53FeKRNeqHO1jyKOHs7GxmKN+NadOmYcuWLThw4AACA83V2YmYF1G+zszMpDPFxM3a19cX4eFGcV7yPT3d/J1JhMGIEjb5W3Xw6BrKPI8cPVsE4L3fziIzT4WUrMqXg5ur7QIqjyrE4Fz62S84+d8FvPL6s+jRqx0Kiw34Z+NO3LyRiKkzJ5qVd3VzwaKPjWm23p77OS6evcQxlB80v/y4Hl8u+Zl+/3vDO4iKCuaUuXRqMf08evwaXnn9N3i6yitUrK2h1uiQk6+CQibG57M6IiGtEK0a+KCgWI2rN7Jx9loWIgJd4e2mwMX4bLoQhncKxd8HjaJixFvhVloh21DmqfZR7hVP1kNcZgluZatwK7sUe2Jz8NOJdKyb1eKOeZh57IOoxN+6lYrY2AS6xFy5jf/+i0FxcSnOXfrtnnUOSopVNO7SEuLtEheXiIvnr8HJyQEeHq7w9HSEn78HpCyxNR6eaiYt8TYunjxmtm7W4qVo0KK1zdsgcccfvP4qXl7wLgJDQgHEVPytqKgEPXq1waWLcdiy6QAGDu58X+vPU4MgIqJkqSnYWReDwUDTOq1fvx779u1DWFiY1bKenkbPCiLiRQzjwYMH0/+3a9cOubm5VACsRYsWFWWIp2SbNm1QHfCGMk+tgRgvxJjp89p27Pu8P8Z0D6d5UUcNb4bHmUMHTuL1VxZDVWIcRdZqNFjwxpc4uP8kWraOxsXzMTiw9ygcnRzw8uzJKC4qQWpqOtJSM3EzPgGH9p+g7lx9B/V+KPW9eOEq3przGRJup2D4yD6Y+/YLcJRwlXlNadu6Lnp2b4wDBy7iv7OJ6NSadCa4EAN5yqKd8PV0wSvjWqBHK/PYmrZRlUqxB84lIz2nBPWCXfHFtDboO3sHXd8w1A2OCjE6N2F7IPBUPzKxEA18HelS/oJ+9s/r+Pu/FIxs+/BVMWs6Fy4lYOv2M/jxl/2IrOuL335+CS4u5oaqWq2FWq3C9m0ncfZsPGJjE3H9ego1isvp1KkxVCo1+vZvd89GMunwtGv1P7y14HkMH9mLXrt9e07g4P5TOHL4LBQKGZo2q4eSklJkZeYhKyuHKgb/umYBNZ7tJSY+E+cu5qJVkwB8t+YkBveohy5t2O3H/YQc15lTl/Drj+tw+OBJuq5Fy/po2bohGjeJQGiQAr6+7lTA8O+/DmHSs33h7sGLztUmTu7fjWUL5tLvLbv0QPehI1G3SVO7ng0i1rXw5RkYOeEZNGvTjvN38vylp2cjqn4Y3pz7FepGBNHvPI8exFusRrle21mXqVOn0hROGzduhFKprIgpdnFxoXmVCStXrkT9+vWpGzYR7nrppZcwa9asilzL5G8kt/Jzzz2Hb7/9lqaHIjPUY8aMqRbFawJvKPPUKlrU88SKrVfx2rf/4dd5Xau7OjWCqAZ18M337yA0LBCfLV6JHVsPokPnlnhp9hS4uChxI/42dYs9ffICPlj4Fby83OHr5wVHpSNyc/OhUqmw8c/NdGnWsimCQgIQGByAgKAgBNHPAMispL5JTU7FlXP/oc+A7net54ljZzDtOWNqDBdXJfYe+a0iP/LdIB2PhW+NwML5xdi8K4aKcnl7mKdsIe7SkxfuQG5BKWJu5uPJPlEI8rDuLvTj3G6V/9FqceSrQTgZm4kjl9IwsV9kjVQF52FDrtXcIXUxYdk5rDmSjPdG10Okn9KqB9/jwoUryRj5zEK4ujggukkIXXf1eiqGjvgYzz7TA/5+bujapSHib6Sj/+D36d+7dmuCnj2aYtSozqgb4Yf589dg08Yj6N6jGb5cOo3GkllzvbYFGpf2VD+8u+A7DB7WHRv+3o3fV23D6Cf74tnJwxAQaC7kotOUoGe3acjLK7LLUE5IysHqv07gyMkUNAhT4N2vDtD1I/s1xIOmsLAYc1/5AMePnKb/d3RU0AGCUyev0IXFuKd6PPB6Pb48mIagYau2+GLjTqrzcS9u4lqtBp++PQ8NmjbDgBGjmWXS0rJw9PB5+swQxoyYg7OXjFkceGznMX8VPBSWLVtGP7t2Ne+bE+N4woQJ9HtsbCzmzp1LXalDQ0PxxhtvUEPZlFWrVlHjuEePHvR98cQTT9CY5uri0TWUbY1RZsXoWtuePeur8ntrsX6M2GFmvjt78iCzylr7vV3HZbjv2zWUlCAj3RgnXNfHkf6fICg1z80r1KohICPzSsndY5FJtWTcPMZCOSPHpTCD+XtDaZHteQiLGDlNGbHjkrLRN0vUjNyhXl4udCEseG+qxV9LEFHXOIsaGdkDJUV5yMnOg1AkxOYNO6FUmhubz7/4BJIS05BwKwW7tl1C4u0UJCWkIKxuMBZ/8TZc3P3MyqckxGPB3I/oQmKiO3ZubZYzmcyq7N55HK/N+oSuI/mJN/7zBQKDymdrjXFTIhU3b7WhuDJmmEDSgwX5ueDDZQewaVcM+neLRMMIbySl5SMpIQuJ6YXUWC5POfDF6tP47dUWNsUNk/vNTQD0inKmC32tFhbZnge5bDbfprhje2KlGK5PDyS3MZGIfkhYjWVmHJehlNHmMVKqEOo4SLBvUgOMWB2LwoQ8KoAjciYxyoxcrz7cZx4ejHU3YtnHoOXGwuYXlODIpXSk5ZTgf70rxQUFrFFwpl6ElRhCdck95Tk9eykZY6auod8njWyK58a0xPGz9XH6YjK0AjE2bjiCc5eSsemXZzH4fz/QckN61cdHc8sHvYqB7DiE+hrjUJNvp0BSaIzrFVnJyWqwdgwm5OWXwNepFGOGtcBHb32IfYeuYtXyZxAS5AGBMBcoNm8jN++5hiaNgxDuLyKB4CY7Y7wjCrOh1xvw8fLDiI3PxOXrGRjdvwXG9QnCnqM3sP3r4XBzlhN/VsDPOHBgikDMHhBUaG4x1jHiQAVCFBaq8NzEZcjOKUJwoDsWvD4E7Zv5c2bvk0vkSEjMpAKGjRsZ65KtZs+YeBuOco81m9tm0vU+3Lj6Ar2fzbHjSik3TtrLgT2g6SbjqtCKGDoWEiE3D7U1WDm6dVYGZrSMmHh3k/Rx5eTJJQh3ybcp77Vaz66rm5yhDyLili1mxCITItzMz7eqRIUP5jwLF4UUH78xGGLx/so/msRJywQlGD6kNRbM6owAdwMSkrKhUMXBbqwImjGfWWaMsa5q8cgMfRbj7w22tY/27IuBsDaYyjVU9dpWbBHR/fDDD+lyJ4jCNZmZrik8uoYyzyNJZkEpXhwQgemDI62WIeq3whrkvlJT2LplPzat340mTaPg5e2Gr79/Gz/98Dc8PF2Rk5MPjVqDA/tO4MUZ4yCXy6DWirF352H06NMJq37+Cy9MnI3Pv/sUPr6VBkWrti2w5+g6jHtiKl6e+o7Vfbu6KrHmz8Xw82OLlLE4fzkJDgopdbv8+59z2LjjAjIyjcJhjev5YOveq3QmsVV0ALo29sLSNWcrfrt4ZkdEefIpwx43SHyyRChArsrYqWP0+e87pWodXvj0IC7dyEGrKE+cvZ6NTk18cPpqFga2DWLIHT0cPl9xmH5++kZfDOhmbC/bNA2En7cTev/vF/r/MUObISTADa9P74EPl+7Gxp1XUFKqwb8HrtOywf6uOHYuCUd3zIG7m+3Gzp34eOlO5Beq0Kp5KFyUCjw9qg01kk1Zt/EkDhy+CqlUjC07ztN18TfSEB5293CIfw/F4fSlFEx4oik9VmepHG5KYzrBeUsPYc7EVgj1r5wBvN+QOisUUjiUajF2RBt0aBvBGUwlZcJ8fRBmw/HwVB2J5N49IB4EBfn5mPvSa2gY4Yr5b46kA8jWSEnNRYC/G7RaHZ4b3+Wh1vNRQiKpBX3CWm4oP6rwhjJPrSI+pRDdovnOhb2cPxuLd9/6Bm8tfBH9B3XBgb0nMG7Eq/Rvuw79AldXZ9y8kYS5ryzGpW6t0aJVIzrQ+8ZrH+Drz1di3RaipC3HixNfwso/lsPZuVLxlbhDbtyxErk5ebh9Kwk34hPw3vxKN5l//v0G/gHlxrX10V/SESAK13K5MYXVhOm/obhEA39fFzRp4A8fT2WFoXwh1qj46qKUYfu+a7hyLY0qW7dt7IuFU9rBzcUJRRl3jnvmeTTJU+kQ8RAHScRiAc7HZWPnJ33gppThw9Xn8eS7+yEVC3HmWhbee8s8Tv5BU1hUirkf7YCLUo4Zz7SvMJLL8fF0wmfvDMWOfTFoEOkLmUyMUYOb4lJsKjb/e4kayYTjZxNx9UYWln067r4ZyafP3caxUzexZfUUKBxkzNnmYyfj8cnSf7HojaHQ6fXo1DUaMTGJcHG2ze162aoTeP35jmjX3Hje467nQCoR4a9PB2Pe0oMY/vImHP1lLO6e4OTeIEbwsiVPY9T4ZfDzZXsx8Ty+ZGVk4rWpM9G+Sye8+dKd45nJO/Hg4Sto3jQMz0z9EUveHwNPD67aOg8Pz4ODN5R5ahXxqYV4ri83VQbPnUlMSIWPrydOnbhEDeUFbyzF+4tfhlQmoUYyITQsAIFBvjS+jiAWizDnrWn46N2v0K/rWLh7uMLP34/ONlu6kF2+dB1nTl7Ad1//VrH+z42foU5d242EUU8vxaUrSYio4wOJRIxAfzfMm9kbick5+OL7/XhuXHt8u2gg5ny4A4dPGtNkBPi6oHfnCDTwlsLZsXLWoKCkFiRN5LnvpBSoodUbEOgsvcOQjH1odXpsPHgTSemF6NEqEA1C3WDatRUJhWgY5oarifloU98L43rWQZCXI4Z1DqEG85/bLmNEvwZ4WFyMTcPOA9fw5NBoDOnNjceVScXo16M+jaX8+Os9OPzfDRw7fROtooPx1cKB6NwmjBqWBYWl+HX9WUydvQZ9ujfECxM6w8fb9hQhLLbvuYK+3etDwXBjJe7IrXu8V/H/1X8ex8qvJwIOLsBg2xWE07OK0CCiUrSvnJ82XcTRcyn4ZVE/eg4eJN6eztjyx0t0ZpmHp5ykhERqJA8b9QRGPjUWAsF/dzw5V6+lICjAA98ufRbLv9+BEU9/jU/fH4MWTY1idLcTslCsUiMqgutaz1P7qO1iXo8qvKHMU2sgsWe30osQ6nN/ZjceJ4hxvPrXLfSznI5dWlCRmfKwkr27juHA/hNU4KtUpUaPvj1w6UIsXp07BX0GdENSYiqCwyKQmZ6FSxcuQ6/TIz0tA99+aYxvLOfn3z9H/YYRNEbZlvQz6/74Fyu+W4eMzAK8MKk7AgPcERjogTYNPelo+5x/zmH21B7o2KYOJr30G9q3CMLLz3aETCpC3dAyl81cdg5ZntpLfLYK/jIhVbi2ldNJRWju72icpSH3dRXe88SrYe/JRCz5/Rx1221cxwNzvj4KlVqHKUPq44kuxryPhD6tAzF3+Um8OLQ+hnYMxrhexsG8L6e3wVMfHkL9up40nv5hcPlaOp4Z3RKzp5Q961p2XP6Ang1Qr443Ll9NxYJX+8DN1cEsHlrpJMOLT7fBU+O64qc1RzD06WUY0LsxJo/vBO8yTQR7+d+YNhg9aQXatw5HZIQvvExmx0i4zNRnu1G36zkv9UXHthH3tI9gPxfsP36Lul17uJFZaAG2HorHHztisfHzIfB4SOkEnZz40I8aQw3o71+PvYa5L72KZ6c+jz6D+tv0mzPnbqJZ0zAqaPTCM93QpGEQXpqzmj43YaGe2HswBsMGNsfbc4Y88PrXdmrALXB3eNfrGsmjayhrNIBadI9iWlVMls4Sq7Fj/1aFWljbsFWgy9p61jprYjv2nBfWcbFEiKzti0FykQ6eLnLIlBYueErz+DaDSgWDUAyIJHcUh7rTQ6CXc9N06B25sxQEoZwrdGLIZwt/MQVoSrgiIzIF2/DTC7gzMQbc3ZC4dvUWCvIL0bplKISCEjpbLNQVgYTtaGDsOP6zeQ8GDOqCgEAfrFi+Fm3bN8XBvccw89Wn4eoqhZtrMA7t2483536JoGBfOrNMcpt26NgUoWH+SE7OoIZ3dGMiSMMWwlKob5j9f85bf+DYiTj0bhuEfh3D0bJReUJ5HZAQT7819pXiw8+3w1EuwZB2AZjS0x8CQSE1hAw3yq6pylxYx1AKGAo0XJEqa8+GrfcrgSEmZVDZLjrFvOetjdxa28bDwo7n01asnle9ns5y7rtRgJ/OZiApXw2BVIwu0b40ho/EHxP7V6TX07h1+p2uE9BPoa4YR6/mon9zX4jCPKiXv0GnhMCN+3zoTl7G2cRCbDifiXyVFq1DnNHaR4FQNxnd3unkQnx2KAWlWj3mdPRHu2CjQTctJBxXM0vw3JpzaOUrRZCn8dl5srk7oh3q4vOdcVi5+QpWjK8PH2cpiD/Fgr5BmDZ3A/o09ECgmwxDmnrBKdCYQ9IUQVQU+7ywRKNYwjhaLTXu/zt1AwO61AGKjcKHyC/7NMPYPtWVAHUbOgGF6UAh+3o7OzthxrAIPN0jCCvXX8CQsUsxZGh7PPdsL3hYuIEKGMKGpoZ6UJA3nh7TDpNeWoUpQxvgpVFNzNrh6SPqIcgV2PrPCQxo6QFDVjYEVt6HzPdkXh66N/fDmg1noZCJEHMzBwP6tsLZC3HIKVDDJSQIKBt4EYgYs7069qCCwUJgzBp6L/Y1FDlwz0u+juttU6pjz9jf0PXlrrQyXuyn56pqy0W5Nr83wpyN7a4pQoZAF0FrkNp0DNYGTVmCYiwxLaGQLSSl03Hfh44SrsiZVJADBzF3G3rGOVDr2CdWKuQel1KaUvGdpFsk78MQd/NBpIKCImzbcgA/LvsdC98chu6dHQD9Pvo3Qy733U+e4dOx2VCrddi77wKG9G8GaFSASIz27aOwZ+s8qlJ/LS4N6hIVtu88j6G9ItE4ymRW2YrYXpUEsqz1S1nrdbqq/b7K/XVuO6ZX2yEmy8PzWBjKPI8ccckFCPe/e3yORquns888lZw6cRmt2zSmI9PlcXSWfPrl6xUv6m3/HMCwAVMwamz/Ctdssn79n7uogZyanAk3d2ea8oTMCicmpqFHrzYY8ySjQ2eFk6dv4NTZm9ix4TXIsm5aLfdU30h0be6PG8n56Bhh20wWscWq28bksY/0Ig0mbbgBN4UIE5t5oUuoErcDfXEuzqhkTIxomsxAran4Tu5JHf0bWa9Hx/oe6NO0cuZWbcUoJwby1weT8HQrH3g6SnDidgF+OZ6KEo0eAS5SZBZpMKO9H/pEulKj3JRITwWe7RmKjzZcw1fPVhp6Dfwcsfx/9fHjoWS8svYaVk6sD4lIiG5RbnCQCnE1rRhf7E7Aon9uYuqAupg28N5mTK2h1ugw77P9KCzWoFsbrqJzVSFq0S+Pb4UJQxthxe40DBzyHoYPa4tJz/SEu5ttad4Iz/6vEy4QoT6G+zWhX+c6WLLyOF79aBe6tQlF515ucFbaPgv8/PDGdCEcPJOEEwkCzJjUEQ0ifSC2wzuB59GBCFU+SEqKVXjhmfnIzy/CEyN746kJg6nmx9/r/qV6IB06t8DyLyegQZS/TRoD455djoZR/vDyVKJtK/NQs9JSDfYeuILjJ6/j6HGjnsDlq2nmhjIPB422FvQJyQBHWR+tRmDPgMsjDG8o89QaiLpsrXCfqYG0atMIq3/7hxoWqSlZyM0thKMTu/P5z6Z9EAqE+OCT13Dt6k38uHwdjh05i9MnL1WUadwkAr+s+eCOaUbuBBEpWfjhRsx9ZZBRvOsu5QO9nehiIGldeB5JXGQieDuKEeYmQ9dQJZ3ZrRvgTBczLLwHKterbN7XbyfSsGhAGNqEGrfdv6EHDMUapBaocT1LhTZBTtTItcaTnQKx9kgSDl7JQqf65h4tEzv44XxiIZb8extz+hljCduEu9Al3EuB536Jwdf/XMeus2no2tgbk3qHQalgG422kpuvQtsRP6J72xD8+F5/GmP8oHB3UWD2q0MxcXx3/PDjTgwZ9gH+3Tbf5nhciViEZk2CcfuSsZNvCYkf3vD1SOz77xa2H4zD65/uxabVUxEewp2FvxudmgXArY4SjSJ4ASSeB8Osqe8jLTULLVs3wuQXR2PFd3+if4/J8A/0xrARvTDrtQlwcVXCScVONWdKVk4RRkz6iX4fP64jkpJz8NZ766l7dfdujSESCfDK3NVQOsnx3IRu+PrdQTQzBM+jgUAkoEtNoSbVpTrhDWWeWkPHJj54e+UZ5Baq4erEvxzsIbxOIJ1Nvn49EXt3n8Kw4V2YKSmIi/b8eUvp9xeffRtjxg2E0tmRzhoT5HIpxjzZDxOfHVala5mVXUTTXhB27LqA3vX5eL7HHRKLvHRAKIavuYqrWSrUK3NrfhA0DXTCtYySCkO5HF+llC53gyhaLxgdhVd+voguDTwxpU8oSJpfAjHwFw0Nx6jvLkIsuoW63g7wUkoRHeiEDnVdcXlhWxg8XHElIR9/HUnEmI+P4qvnmyPciue1LdxMMj5LqZlFdGb5boYyGTA7fD4VF+OzUaTSoKRUR5/x0d3rICqEG3bCwsvLGXPnPIHExCzs3HUOgwe1srm+TwxqjrF/HsG6vXEY2Y0rzujuqsDw3lEI8FEiLqkAh49dx7c/7sfo4S3RIvr+z5bz8NgLEbH8fcVanDsTgzcWTEH7Ts2hUMjw+luTMePlp6FwkN9R0ZpFiUqDjCxjZofZb63FkAHNMKB3E/z+13EsWrwZbm6O8HR3wsfvjaXvb0MBO5c2Dw/P/ePRNZTJrIPp0dnjimtHLC4zTsqueGbb4iusxxOz4patxGKw3I9YsZkaK4nl7TmHDJdHgx2/Z6ntOboq0bVFAHacTceYXiZuiyR+xxStGtCLAL35cQjk7FkFQ04yZ53Qh9tJ1wnZsUvF4Lo8KXTcbVbUzQYMuanM9QpWthESj81Ab/F49+4VjecmvgeZXILly2dWxI1JUBk/9vG7X9NPTy8XTBjfnb7o163dCxdXR3z04QT06dcGMhmZ/SL3mLFzLqTfGRRmc48r8zZ1o+3c/zs8NbgRXpz1M11/YvlQKB3MDRTm7HGxUZGbs90i83vAUCqEoZi451rUTc2+t63GE7Ng3MfMuFtrz5E91MQRXWsxxjZirR0QBypBnlCRRAQXfyeI3OTM9kngaCU402K9QG+Adv9taBIr740rGcVYfzkb26/mYlITT+jSiu54rmkdGGivpKE5gC0j6uC3C1kY9fFx9G3mg+e7B8HbRQalQopvn22M9SdTcSKxCHsu3sJL/cIwpn0A/b3+ZjqIXfxGG0+slRkw4+sT2NKlBfu4CrkxxoY8c72FaFfgys9P4L3fzuGlBdvw7csdICl3M/avdPck6dY27YrBLxsuwMlRis7tI+DmLUWAXELzJ0/+9DD6dauH6RPbw6nseTTEXePWKaLyWfXz98T5iwkYNLQDBBLuPW8o4sbHEo2tHz4agqdeXg/3AE/0aB9mLHvJPL7WMa0At25nYc3qAxjVMQgzXvkNnz/XFC3qugNS7iy8ICiQW9ccDbPdNRTl2Bb7TchI564L4hr4hRq2YFtcXrn2QiWBTtz2zbfkH/b+TUTWKpCxnwNBEXegx8D4vTSD/Y4yRHXgrBMWsN9HEHIHZJyISrkFOgF70EujZ7xnDdz3mUHAHvjxlHC9EkSCUmaMtoOI2+7oGEnCtIw6WcYjE6aNn4MwbxE2Lh8NXy8NkH8cICHHer0xfDzfhr6ixToSWSaVCBEW4oFr8RlwlAowoEsYBnYNx83YG9i6Lw4j+9WHMOOG0QvrYbrpPoC4Ybt+b29ZCwxEt6imQ/q9NUlpuibVpRp5dA1lnkeSyGBXXE9gi3KZPtt2DuQ+Fkx8pg+6dYtGdNPwilhlSz75dDJiYxORlJiJpMR0aDRafPrpJDRqFMI0vm3hckwyjp2Mw41bmbhxPRE3E43XLz27GGMGNEDzBr5wkN/fpohcf/4WqJ1kF2ng7lg1V+RyyF1O0kX9eTELf1/ORpFah2EN3LFuaDi8bdxHUakOB+LzsPd6Ho1fntGp0vB0lIrwfAtvjGnkgV9vF2LYZ6cxpIUPnu0WiBBPBWb2DaOd2dm6K/jtUBLcHCXo1dhcFNDXWQo/G2axy2eCSZqqtNtZiAxyhpOJy3Z8cgH6tw3EOz+dQZ/XtiMi0BlKBwmcvVzh5Cijs1X/7L2Kts2C8P6bg9G0EdeoHN4rEp99fwgD/rcSbZoFUVX5ugo1IvyVNP0a2T/p72rScrFv33lsWH8UeXlFWLXqNdhLoK8zvls0AM/O20LzobekIoDmNAxSIszHEWqtHk93C0H9IGfM/P4Mvny+OZpF2aYiToTeeB5vTN936el5uH49Ga1bR0JQhdcOiUH+7aNnIJfdv3cXUX6fPKY5th00anas3XwWzZsEYmCvhggNcMWL46wMpvHc/dzWhk4hr3pdI+ENZZ5axb/HEzBrbPQdy4jFAvrC4THHzc0Jbm5173ha/Pzc6XLHmWIbIZ3qH345iF//OIJBfZsiulEQhnTwR1igK9xcLNzSMrmzz1VBKDBAIqwF4h08ZpRqjMrXCun9ibGVCPRYtC8RCXlqzO7kjxZlqaNIPLKtLNmfhJi0YoyI9sSaMxnwcJDgSQtRORJfTYzi/3UMwA97EzHok1MY2dYXEzsHwsVJho+frI/j13Pw+dYb+G73bUxv64NOYc60LueTixDtz54dLCxWY/fe62gb7Y/XPz+Ai9ez4KqUwctZimtJ+fB1VyAiwBlpOSVIySqBv6cDDUuJTchDcpbR+2LOCyF00oXU4+9lY+DrpSTuOcz9uSjlWPByT0wY1QIXY1Nx7UYW/jxxG9eT81Gk0kKAMrVxxXG0ahWJadMHoW3bKGYYhy3UC/fEknm9Meu9f/H68x3QzVXHufZ1/Jyw43Qqxn/2H5QKY5clJVuFZjbuQ0qk/Xkea6RSEW7fzsDMWd8jPT0XDg4yPDG8A559fsg9CXet+307/U5SFN5PiNL1tgNx6Nw+ErFx6TR92/Y9MdRQ5qkaD1C2gecRhzeUeWoNRM36ys1sNAw3GnI8NZuc3CIsXb4Luza+Cm/PMuXszNvVXS2eGkxWkQYe92k2mbDxSjauZanww9A6UEjuzZjzdpLA3cEZw5p4op63A2ZvjucYyuW4O0kxe1A4xncOoAbxgMUnMa5jAMZ3DkL9ACek55ciOacUL/5VCAeJED+PjaQCYu4O7GP+ce0prPr7DDWocwuMLqV7vh8JJ20JVfses3Avth5PpOuJyybJ8Vzuct2tmR+iglzw9LCmENtpyIYGutGFYIjz4fxd0HEg7hetmvjjqSGN8coHO+HuJMGet9tBZtKrLSzRYv7YhpBJjCnCljzb1OzvPDx3IybmFj79+CfMnDkYTwxvjz//OoLvv99ul6FcXFSCtWu2YfWvW9C2fTR++f1jCARsQbp75dSlFPr8vvx8F7zyQlcUFpei+/BvUFyihkVSTJ5HEBJyyAo7rC5qUl2qk0fWUDaoSmAQ2RC7YGssRVXjju0pa0euV2ZdrfyeGXvMyglrLV7TMiftA4Q1Fyi8Eode9dywfs1xjGtdGfMlqmcxO5SvB5wjOHmUIWJ3rgSu3Pgxy/hm+nMruYH1cLEtpoygYsTYisU27Z9gyE7irrQ8zjIEDPdqgZV4Zisb4KwSihl5nE3yU2u0OmzfcwUdW4fDtSidzgCVxsfCUGhMH2PIsZKPtLDwrnHHxn1Zubct8hjrtULoSwG9ZX5jK3HDzLhZa7G4VYzRfagxyrb+/kEdkx1aBbqMEuw6l4EGHnL6nSCWcGNDDa4uNrWPm48n4+jtAnzbIxByjc6s/WPlvQbDmNSlFSNQKMC+pEL6PSOpEIEOYmYbqY2r9IogOtjzoj0wPkyJT46mYtHNXDhJRejk74gpg8NwOLEQb+xOxIn4PMxs5YNJG+Lh+c0OTOwVbrbNsY2V+P1PPV7tGoB5W28h2s8RxYfPw9HfCQKDARdv5EIqFmDPay3g2CaaDiZqtfoKQSwKOSzL+EhG3LC1tlDQnOHirC21OWYVEm4cKKWwsj3dcygOs8Y1R18XLSS5JWY6+gqNBg/jlN4AAQAASURBVO+sMSru//tsQ4hvZpAs6xBFG+OaTTGcOc/Yvw+7Xs4MzQonto6FqiHXoLqSw41Rzk9nt09d3Xdx61rA8KIRWzlXrPjWDMa7gODPrRcY7XZhXbaReOgW93pHurOF2sKdjnPWCTTcd59Qwn7vSBn5kSVS7u9FOu77gWDINg4S3ekc/rHhFH5Zdx6fvzsMLaKDcXD7QXzx+Sb88Nk4pFw4jh9WHceOfbHw8XJCcIAbgsP8EVXPHwP7ERUCI+s3ncAnn21Cx9ZhWPXFiLJBpFtAEiN2uwrGRcL1FFy8mkHTPrVvGQInqQAtmvjjwOGr6BtpRZvhQWBPH7aKv6+yzo+tlNqeFaHaIO+ge/TOeSDUpLpUI4+soczzaDKhrS9e/us6xrT04WPPahAk9+P7n/+L7XuvoLjYKJzz4sgm8Pd0hFd5h52H5w6Q+OEVp9Lp7O/9YOe5NIyu7w5XedVe9sFKCeJzS3E2vRibruchzMWKMcMgwFmKhV0DMHDNVUxs6oU1F7MwPtoTg6PcUN9LgVBXKU1D9cOQMDyz7TbEIgGe6hZaEZbg6SxDQamOGskXX6vsuBOK1XrIJULqCr1wUzy+7NIStfFJy8otwblrmVixoDcUl7jCYYsHhKHZF2fp9+O3CzCskXk6Lh4eU9IyCpCYnIO8/BIcOHodp88n4K1Xh6BFtB+yc4ow/fW1UJVqsWTZHly8koQxQ5th/Y8TkFegwu3EHOw8ehs7dp2vMJRJCNGSL7fiq0XD0LTh3fMgV4UR3epgxeYrcHGuFBEMD3bHtRuZD9dQ5uHhqYAfLuCpVTTwc6TiN5svWE+LQAYo+ejUh2skZ2YX4e9/zqFldBA+e3c4Xf/v0Vv47o0e9z2Oy1b0vJxXreKzIynIKNJSV+n7gY+rHOuv5kJVNsN6rwQ7SxGTXYrF/6UhQCnB0w3sC/1QykQYEOmKQwkFVFjs6xNpdH2Eh7wiV7OnowQrZ7XF+39cRoMXtiKn0DjY9NOueGh0BgS7co1zR5kIR+e1Qt9GHmjgb/TYqG2QGfBxb27Hpy93NhMmM0UiEuCtHkEY0dgDq85k2L2Ph+gIxVMDeOGVNfj4q53YsO08zTG8+ruJcHc1Gpn5hSpqJBOaNQ7E9tWTMf2ZjvDxUiIy3As9O0ci9loKmjQKNttm29YRmLVgE/7aeoEazg+KfaeT4OmiQMNIY7gDSfW2eVcMBvWq/8D2+bjwAC/b/UNkIuhVI5bqPiE1A35GmafW8WbfEDzzWyyiA5wQxsi1SrwiSQoinofDO4u3YfO/F+n3A0fj8NbLfSGTirHi7Z5wU9o++3Y/0RsE0Br4+JraRO+6rvjjQhZe3X4LnUKVcKhCHGpqjgqXb+cjRy1HiVYPeXmqpHuAuEyfGx9lc05UtU6PnBIdclVaZKt0SC/UYMf1PKQXa/FRj0D0rsN2Hfdxk+Pzyc2xcM1FfLjuMpqFuyGvyBhWQra18r80jGrqSZW2y/lw202sP200Hkc/WwI3l9o1p0xOaV5hKdo2YoS/mDA62pOKvLX88pzd+7CSEY7nEaWouBStW0SiUZQ/OrapQxXf1WXu4GRQt0+3+vjgrSHUiLYMIVi/7QJiYpPp8u7bI6noF3nuF7//JC79dw5z3t9Kc5QP6tXggdT9p62xmDCgHv0efzsbW3ZfQVQdL6OrdzI7NSKPbairpk36UCD3Wk2KC7Y3D/ijCm8o89Q66no74NWeQXj65yvIKdbixWGFmPFEo+qu1mPLoD6NKgxlQq+RXyO6YQA8Xdg5aHl4WLQKcKQuyTuv51XJsCX8eSQR9QKVGB7sDTe5Fb0AO7hbh+FSRglm70tCdomWyka4yUVwU4jhKhfheGIhtAZgSD1X9I9gq02X06eFHz7bEItNx5LoUk6+SodP9yehUK3D9I6V7p/1fColfm4l59c6Q5mIjHWI9seBM0kY1q3uXdO78MOfPHdj4dyBOHM+AVv+vYB/917B0g9H0fWx19MQdyMTMyZ3hVzG9l7YtMMYCy8RizB3/h/o2ysafXs1oc9/g0gffPLWQDz76jq0axECT/f75wqdX6TGh7+epp/dWxpzrU99YwN1u35lcif+ovPwVCOPrqFcWAwYtNUjWmDPbGYVk60b7BHjYgyt2yVixChrsEMESGCPMBFLobZsdoUwqI4LmnpEot+Pl/HN+st4MVpZkRLKUCQGgrwBkfntbSi0koJIyu1cChyNiq93E0QhOMkZgkPWrqGJgM0dYQl8EZQsESKx7fcLS9BMYsWgZYmEFXBdHzs38aTu1aUm99dHr3aDMDWF07HVZxYwd8USVzKoWOJztolx6XUiGEqFMKjVdyx3v3w27douA6ujyJoqCmzYngWp6th4vqydK0N6MUIkAjwd6UK/F+v0SMsqQalWjyivymdUZKV9U1/JwpGUIiy/mI3reWp81z0AKNZCX1pqU/siZKQREpkYokRl+lJqMZ3ZbKQ3L+sjEyGnRIthEa4YWc+1Io75OlG4zlbhnU7+iPZ2qGybLX5P0J65RT/besnQM0CBGa19sOdGPmb9m0DXN/JWINBRQp8Lvc7onj4qwhVDZ0Sj+ZfncGjfFTR21nNS4wlY7YMTu5Ovv2XM32r2e0dH29snH3+b2leKuyf96NmjET757gAKBVL0zs2Hm0VOdWnPphXfhUvPQ9A6CiIiVOjFEBkLZcS3770EQwH3nmM9cYasLGZV5Ylc0ShZxDzOupjkSmFDU/SGLpx1HfzjOOukiYeZv0dI5TkoZ/tN9uCwKo37fPg5cT172iq5QlyELoHctvhydiizbJ48iLPOVcQ9Lq2efQ9IBIz3YWneHQUjzctyB8FIKjWyFBY3RY8R32Lnngv4c+t1XI+7heaN/LH85wM0VKhRPV/0auGHMX2MM7iEFXO74K/DCZBIRPT++HTJBniKCo05vg161At0wOgBDfDukh344q0+MBQU2C7GKq3Mlb7rTApeWX4aP38xGnn5Krzz2S706RqJNa8PgkgugeHKZcihw0vd/RChzoDhSgZQbMeAnz2zkra+u6z1aRiioXZR1RlU1v5Z61gCjjUNPo9yjeTRNZR5HnmCXGXoVscFzkoJnze5mjE1knt3qoPQQFcYLqdUa514ah/EVXlnYiHWx+ejSKuHv7MU+aU6PNPcC+OaGA0rglZnoC7O5XFnxHi9nFGCt46lYUEbH0R7yuEoEeE6w0bW6A00r/LNAjWSCjXwd5Qgyk2GQKkI5zNK8EdsLpIL1Qh3kaFukBNkYiGO3SzA8dv5CHCR0RRWT9dzwx+xOXixqRf6hTnDQyHGmkFh2HQ9Fy/8exueCjEG1XXBmbQSjIxyQ7sA22OIp7T0xvC116DSGNDU12ioT23ji7FNPOBiYUQSpGIhFvUJxpsbY/DVxhj4eSiw/YOe1EW0PM7xwPlUODtK0aqeJ3N2nKSeIumliDmTkl1Ct+nh/HDCJvp0iYCHmwM27LiEr3ZfR0s/BwyOdEXHYCUkZZ3oklItUrKKaf9XqzVAVGlzPBqxiTz3HScHGdq1DMEPq49jYO+W+Pqd7jS++NjpBPy97RLOXUnFLq3GzFAmg0wj+xtzFt9IzEFCSj4WLz+MP5aOrCgzeUxzjJi2DodPJaD9PWSqzCkoxfRvTtLvP6z+j7pYf/r2ADRvZJxJLoekQyO5y3nuD7WiGSDtXQ1yva5RdalGeEOZp1ZDRF6eWnsVu69ko0d941uLPNp8aMXDJWbnNFyITcPIaetwM9FKCqiHjLB2vBp5TPhfPTf0DVYiwFECN5kQYm8HpBVq8MyGeEhFQoxo4IaNZzOwZOdtlJLZWQH5J6Dvc4kBeLetD9r7GWdAibOLUGBAvlqH367lISa3FDcLNMgo0SLASYJQZyn8HcU4l6nCkjMZyCnVw9dRjNFRbhgZ6YobeWrcyFejSK1Hj0hXvNk7iOY7Ts4rxaifriBHpUOUe6UxGeIsxfTm3pjazAsnU40K2ceSizC73Z3jby0hRver7fxwJKEAr+0yziYn5JUyjeRygkyUuItVWgybvxdvPRWNtg288PueePx54CZV1CbuyzOGN0Cn9nUqDOZjF1Lw6mcHoNEaEObjgHPxOXh1RAM80/fOrtD3C1KPVtGBdHnNR4c9N/Ox5lI2Fh5MgYdChLTV16DV6eHn4YgOTfwgsjNlGp/h5PHl84VD6eeVuAIkp+Zj7PQ/UCfEHb07R6BRlA9ahbHTgRGWrzlFP/19zMuQAag+nerg7JVUtO/A8Gq4CxuOJqJHU184ysXwCXanRrKlK/jFW3lIy1Ehwt96/XgebqZFnscX3lDmqdV4O0nw9ZP18NwvMfB1kaKhvxPEQgPtEPI8PNKziqiRTLh6g+2++DAhc2li3lCudfg4iOlits5JQtMn/e/vOKw8nQEvVxm+ezoKUb6OHNdrUwrUOhxLKcQvZxLQM9AJo8KdEaqUws9RDBFDib1YIIAjTbdkbDua+TiYuV6X4+8iQ/8wZ4gEAmaqKNL2tPZzpMu99tAGRbrSJdJDjmB3BZxldxY2axHohIsrhlSkzDt4IQ3zfz4LiViItJwSLH+1I5rV9cD+c6n4/K9L+HpTLPy9nHA9IRe5haX4cnY3hPk749L5W5jzw2n0aGafcX+/cJAIMTDClS6phRoakx08sAWcHNhhL7ZQTaL7PDWITTsuYuWaAxjSuz4+mtu38g85VsKxAMx+vgPW/xuDvAKuW0qwvwsOnrhNeiB21YPMaK89cAufPNccDUNcIYiIZJbbdioF/Vr6UWOa5/4gEdX8gXMSnmhXiOIDpibVpTp5ZJ9CQ34hDFo7/LPuJ/bE/TKwGmPMiAFkxvtZ+T0znpgVd2KlrlWNw7TLjUMnsjlGpq7eQGMAp/8Wi1+HhkEoc4Qh7joMln1YOduVUKBkjNqGM2KUZey4PkNeKndlvpWYKhX3pWvQmMfR3ikGUMCKf7IWI2QSE3W3c8Akn2HwMuKkSJzWt7+aq9EWxd2EnBGPrM8otv2eZ9yHVu9Bi2eDxIjrNQLohQ8zSNcCO54Xu54sYRV1Fex5+dnRblW5fWPEn2tvGa+fpliL4lI9hAI9unu6oK5ECG1WCVWUTinQoJGPAtIwV6g0eiw7lIS1ZzJoHGt0ZAB+mNYMkX53d31mPhlW2pweIc6YeyAJExt70BlgWrQs7YwlApZ6t8a29nFClHvF9TIUV/6IeVUOXkV5bdsC+Kt3IBIKNPCUCOASnwx1fDLakb+198LhtBKotGpMbuaGIGcpJDE3gBhA7uEMfzc5QlwkFW2VQcvQBbCI/a/gxi3u8bdswSzK0oGQjuxW8b0iQU+RFV2HFEZoh6szdz8ebhD4MdpCb3NXV0KBkpwhLgZGJs2Gkv8460Kasw2nDTHc/X97i+u3K5MaZ0AtcSvm6kgUqdgxq5Yx6uWhCpZcTIpi/l4u4757PJzY19tDwY1JVzhwjU+ZmvGOtBZ7rGfcbwX3PvhKXKj3HLqGSUMbYvLwxmbGsSEnh1NeUHbfk7uzUbg7InwUQEYmDCWV767jh68i1MMBKOa+zwocXPDDlhgkZhRBo9PTUAHiEUE0DopLtVSFu1GDsnvvtvnzcvFGDpZtvIKGjsDasxl4uanb/WuLrbX7rO1W0UBiam7Y49phZf82K0IzNCgMRbUgTxzpy1U15vt+UpPqUo08soYyz+NF5xAlninwxLRtt/HVEHYHgOfBsXrPDfrp4ijBilc7wEEmrui08/BUlR+v5+HJMCXGhTnjlUs56PPjZeSW6OCqENFZ1BBXGRoGOGFHTDZNG7fl+cZwdZAgUeyMMNf7nx+opa8DOgY64dMTaXi/M9fgqgmQ2Oq6bjIYLAYgyIx5Rysx0xKxwC4tSh6emsyFmDS8OH8LJj/ZEU93s89L4tilNBrG8MrYaBSWaHD1ejbNb77hcALOXM/Gtve7A5rKnO8kJeX6E6n4YvtR9G4ViH5tgiAWCyEWCqi6u0giop9hfkr8+18CGoS6IdDdOACy40Qiftt5HYnpRVQjYDeAr4aF3/fzwcPDYz+8oczzyDC2kQc+O5aGW3lqNKYKLrzbyMOAdB7KWfZSWzQMvXMKHB4ee0gp0WJPajE2dguAk0SI74bVQXK+Gn5KCRWdylNpsS02FyUC4O2+oWgb6vygJsMr2HgtFwcTC/Flj0A8SjQMdkFiVglyi9Rwdawmj6z7Dv8eeFz5beM5REf5oF64l92/JTPA8cn5mPPNMWw7ZtQKIFEZk/rWxcjOIXBSSCoM5fO38vHe31chk4jww5zOqBfkSn/7++44nI/PpmEaJHzgq5c74WpCLmZ8blQ3JxoCDUPdsGLrVfr/FbM7YdLHB7FxYn3U8axdqd5qPLWhGeBnlGskvKHM80jxZGN3fHI0DXn7biM6xAmtI9zQo4k3vF35nL73m8S0AqzccgVbD97A2O5hmNCnLoK9719uyapAbCRDrXgz8tyNFdfyMCpECWWZO51EJECIW6WjNBG5GhPtCQEjjvVBzI6uPZaCFeczsbJvCHVbfpTIK9LQTj3LVdde/j2fgZ6NPKleQHVCDB6ex5MXn2qNX9efwztf7kWnRi54fWIrm3/r72nUJ7iemA8XRykWjm9CVeNdHSVmyvFbz6Rh8aY4vDa4DlwUEjzx5k6E+DhRbQC1Vg8/dwd0a+aP3aeTqKAeNbDLIAY1Gez7/e1u0OkMaFHPEzG/jID2Qvx9PhM8BkMt6A/whnKN5JE1lPU5pdCrbHD+fFjB6vcjN7G+qnGcBtvjBZm/t6MsKx6FGbdiLX8sd18CVm5li+N9qZUPnlBLoSlSITY9H/+dScHXG6/itdY+GNwtiP17ETcPsiAjk7uuTpjt18VKzkNm3kVWvB8rvpjGdJXYHnfMiC8RSBjbtRL3Yyhh7Cs9E0WlWizaGI9DsTkY3dYXG5+MhDsRYErJgC6lMs+yvkBtU75kur6Kcf2Wz5HOIIBGJ4BB8JAcwKu7M25P/L+mes+BpStwOZoC84qlqnT4qkCDuGItfhsVCWlZLLDQ34O9YU7ObECdYaWqudzYQn22bXlKS9IL4aoQI9dgQLDcxAw0iSE2q4dGY9v1sibcY+V82RoDyHy2WHGgxCNk6zUMbe0LTwdRZT5YVpyamn2s+nzjDFtRqQ4v/XoF0QGO+H2GlfuiWRPuOhdGjG8eW++Bpe0gYLTFapUGYIXYMs6Bi9CKgaJm3C9bN3PWya3cQ0/8bw5n3aZrXFdguZR9DRVikU2xyNYgBpolBcXsuGPiQmyJixUxtawS7n3gz9W/gyGf+44lCORcfRBDQabN9xvzOTK5B0K85HhzchucuFKAafP/wktPNoPCNAabpbmRaYxhJpmjj81vC2eFiBrGtN0qyAMKjAOxZADmvzwBfjucgrS8Ury3/jo1jMmpjksuQKtgJRb0C8XO2GxsPnkbCgOw45ej+PBwCsY2csfMNj5QlN+Ct40x3OqkNGMdWM/8Q5RvtzkW2Fofzo5+NTueWWB7n4ZVlrHN0nw+3pbn3nhkDWWexxt3uQh9w5zpMra+G+YeSMbxfA0WDQ5j5hHlsY2ELBWm/nIZbeu44N85LaGQiqBLKeRPH899Q603YHViEX5PLsLEzgH4eHgdmhqqpjCmkQekAgHm7UmEp4MYzzT1Qsdg2/Mk11RuF6ix/Uw6tswjUmBVw1EmQj2SairJihAXD89DRCGXoFmUN/afSkTf9sQEtg0XCwX+cm5klGDAF2fp97b1Pak79vYTScguGxz+fUJ9TPnjGiatiaXeGR8PCcfF+Fy8dzAZi7oFon2Qsb0w6O6/fgJPLYbPo1wj4Q1lnkeeCDc5Vg0IxVM7E3AkPg8d6vAxtPfC8SsZeG3ZeczoHYwRrasnfQzPo83RbBU+jc9HPUcJfm7miTrt/VDTIOJhIxu4Y3iUG/bezMd3p9Lx6bFU+EiFKNTo4SoTob2vAzr4OiBYKbU7fcx/qcX46VI2clRaNPFSoLG7HF0DHaF8wHmOlp7LwqQeIVZnD+3l2fZ+eG19HOrPOYQvnopCmzquFbNzPDwPg8JidVl6Jwn6tQ/FtsM37TKUreHhVPmMxCbkY+Wr7REZ6IwFv5yDi0yEF9dew0dDwuHpJKEBQJHeDmjlLMHEpvbHSvM8RghqmOo1qQ8PI+fBHVi2bBmaNGkCZ2dnurRr1w7btm2r+LtKpcLUqVPh4eEBJycnPPHEE0hLM7qSlLNp0yZERkaiXr162LJlS8X6mzdv0heot7c3CizcU5s2bYoFCxbwl4unSgqwL3YJwDf7k2hnlMd2bqcXof7EDZi9/BQ+G1ePN5J5HggHslT4OC4fc+q44L36bvC5S+5gW3iQjzoxmHuGu+C3YeF4v1sgnqnvhnktvPBEuAvi89V4fn8yBm29hf3Jts2qHk4qxFPbbuGTk+kYXMcF89v5oa6rDNtv5eOd42nILNFC/4AO6EKmCpeyVXiy0/0TJ+vfyAP/To+Gg1SIl36LQdt3jqHB64ex4ZR5n+CBwzf3jyXXbmXj7aUH0GPiGqg1OvRoHYQL1zOxYsPFKvcBnBViRPk50DzH5WKWZJvNI9zxwaAw/Pa/+ugQ7oJ63g7USOapfvhuH89DmVEODAzEhx9+iIiICNoo/PzzzxgyZAjOnDmDhg0bYtasWfjnn3+wbt06uLi4YNq0aRg+fDgOHzYq/JWWllJDeuXKlfT3zzzzDHr37g2pSTwmMZI/+eQTvPPOO/d8UDyPN9bCa3pEueHrfYk4eiMf7cNd6LptF7NQpNWjT0N3KK3FCD7mHLpo7NiufqMzAvTsPMg1DXIL8GOhtQfyPvjhVgHm1HVBKxOhrqryMCQoyABvQ28FdGLjzuq7AV0DHOkxncwowVvH09HaWwGF+M535Mv7k7C4cwA6BThWzLrW95BjYIgSsw4k48ntt5FbqoOHXIRJDd0xIsI+zxhSH9ZsLlm/5GwGpjXxoMJC95MAVxlOvdseBSVa5Jdo8fLqGKzYn4ShLXzwsKhBXvs8DwkSZz1oyp8V//92zSkcOB5Dvy/+5RTiEvOw6MX2VZJ7/HtqNN7fm0oHr4gh/v3W63jrqcZoKX5QIhA8VUEoqAUjZryYV43ELstg0KBBZv9/77336CzzsWPHqBG9YsUKrF69Gt27d6d/JwZx/fr16d/btm1LDWWRSERniOnOxWK6ztRQnj59OpYsWUINajK7fK/o80uhV9cgMS9r6GwXMWILHumrJOZVZREioe1iXAbGubYqGsHq3dgo7iTW6tg/v5mPyfXd8PWOW2jZJ5h2Go9dyMTRpEJ8svUm2vk4YGCIEzr6OkDekpGwPsUouMGBJbAltvJolQvk3A0rYmBMVJW5HO+GgVUva64+hUX452wGftx+E3vmtoKfvhjqS1yhFZZolzWRDatCdSxsvN+Z+6aNG5Vcsam81WfGVljHZU/bYu28VLF9slWUpcrHb8dx6Rltw9EsFSROUnTvZXwuyxG6c1XU9clZzF1ZCsWRXYtKpNAxRJ8MDOEte4QNRW5cFX0Bw826XagLWtwuxMJzWRhYx4W6UhPXTL3F/okwEJnx6BrJNX6dXGT4fmQE/a7VG3A9S4Vn/r6OddfzqPHtIBbCQyFCW28FOvg50u2XQwzrf1KK8VdMDhLz1VTRmggJda/nhkK1nqbWupqpQqlQgIFt/diiSVqdbQKEVq63NrEAJNENWX4bEk6LkHWGuP2cstIRXbjb9GT3AwTSXM46Q+x1zjpJoQyGNMa1ZbXnIcHMfbHaSE1cDreclT6H8AvuwP/omVM46zbeNPaNLNExpsOCXNiZHNSMNtJVznWnD3Jm//5GDvfdE8l4DgkBTlzxM2nWeW5BFdurwqBl3Ec6rW2CmQQh2+vk3WXGyZlLm5+FSCTEwTNZCHE34NdtscbqqDRQFZdCoSrl7j6TPRhsUJk/B0VqHf7afxMlWgNir6TDQW9As7w86ErZdWUJdBlK2e8n5nvyYQpG2iHmZauYllWq2C+09R0nKaxu/X0b4A3lGsk9T6HpdDo6c1xUVERdsE+dOgWNRoOePXtWlImKikJwcDCOHj1KDWXirj1x4kT4+fnRztCiRYugVJqrHo4dOxY7d+7EwoUL8dVXX1Xt6Hh4LOgRrMS357JwIq0YrX0d0dBDDo1ah1ejPbErqRCfns9CgUaPYS0frVNH3MOcHSR2p2pZsT8R84fVhZ/r/Zvl4+GxJEejRx0P+SMZvzq7tQ/WxuZgzZVszDuogptMhKYeMoyNcEW9sucqT62H1IZBEbFQgCgvBTYNDUe2SodijR4lWj1SijTYm1CID09lIMJFhvZ+DriWV4qjKcXUPXxR1wA6651epMHIdXHYfC0XjXwd4SIXwVkmwnt9QiB8COeeXN+yiXcengcykzx8xl+Iic/CjKdaUiOZ4O/thDcmtsSc/zXH7KVHEHMrp8phDCSc6+kmnlh+OgO389T4pn+IUR37Ph0LDw9PLTWUL1y4QA1jEo9M4pDXr1+PBg0a4OzZs3Rm2NXVfETcx8cHqamVI7fz58/HzJkzIRQKOUYygTQ0xL2bzF4TV+46derc67Hx8HAgncHJTTzw3blMaig38lRg1eVsOEmEGBrqDE+ZCN/H5GJYLT53Wp0ehSodStTlix4jlpykMZVk5qp+oBJXEguwZGJjdG7gCUcH64JDnaPccepGHjrVc3uox8DzeBGkEGNDau1w67cXN7kYz0cbRXxI5/xWnhpHbuVj+sFkdPJzRKhSip9jczCigbvN23SXi+liypAQJTQ6A05nlOBwShFaejvgrVY+cPYkc7lGfJ2kaOAlR7HegKVDwlETOJFchIZeCjhYSf/Hw2NKTr4K7f63hn7//p2+6NTCGFefmFqAns/+Qb//9P4AtG0aUPEb8t7bsD8en646g4xcFaaOaAx5FcXxyKDV9NY+mNTMC3Kx4KEMNPE8DqrXNagdtMcz4BHGbkOZiHARozgvLw9//vknxo8fj/37uS5Ud4LEL9+JPn36oGPHjnjrrbeoK/e9kKGVoFAjhd4iCkUiMMBszE8vgBYCjleLsZw5D6ScjlHOwnWKliO/NtmouPw4TFx0SDlDWf7QinLkl+U7Lvu9sZzAbB1xU7UcC9VCyBkd5ZYznj/Lo7O+PYvrYWCfF4PBvLEgxyu08GiqOC+m24MBOToRivR6FJc1OJbnr0GAJ4quqbA3TYf67k7IgxwxJWRmRYIQbxlK4tQ4eEODUC85JAIyeFO28fyy86e38IJSCUD6eALTGBgRoxypn1ZQub3y49AKueVoPKFFObo9AbIL1biWUoQ2EW6QCA0QiAXIKdTArUyJc/inZys8lGUSIUI8FXRQisQi+rrJ4OQogZOTAauOZuHA1RK0jnTHzrNpEIuEGNHeD/UCygawioXo2MAP72yIxxPt6QFCq5WZ338mIhnk+ppeIoFewL0PDAZOObo9GDh3m9YgYJTTcWKPWfeBGgKoLebPWeXI80G2ZzDZt831My1Xdu1puYqZCoEd2zNAK2CVw533e5f6Gawcr3k5AcdB/a7HW4Xzoi9bp6WzL2XnSCFDrl6P1FKx2btZWCSAVm/enhqKxcb2wOL50KjMy5Hv2RoRHEvFnPtKV2pxXsj9TB4wG9txkck2icc2vctN22chOS9l9dBKzO4/iZMcnes4oFWINzbfyMPlYg0Wdw1HcIAT0jWM+14vMh6vyXnW6/TQGizuIJ2eXt8wbxnCvI0D1sThtVBN3oOVRAZ44p+rOUhXW5wXvQAoMH9maPti0XGj7ZDGolxZO2lQVe5JYyDtOKA38W41PY4vj6RDpTXgaHIxTbPlKhcjPPEonh/bAhKxcdC8rBLG/WoN5tejSAOJyLw9NRQJOe1uRgngKGG1u9z2QJqt5Qi9kmgZvcWPyX61GnN3Znp9tQbO+4i2fyYbLb+vpImV+aHFYiE1tIpzKkNb9FodDGUvc0nZNRCKxRXnRVSWD1in1ZqJU5GBUmM5kwORicvKVV4fkraIlrN4kIqyi8zKEbIFxZxyZHuQm4fiiMUiOFKVadPzp4fewsVZIibXQwCITOttMOZwNnG9rihXUrlOqxXjrRe64Zu1Z/HqkqN0Xc92wdhx6AadvPnry2GQy8RIytBUzBr/uTMeG3dehl4vQXiQE87G5eNkbB5CBeX3S+Wx6UskZs9vOZpS0q5ZtBs60toBhSbe4hqtiNkvgUUqKHofWLiUV7wvTa9neXtqss7Y7ppjbF/MuedyBjvae72I0U8kbz/L94KVfqLlc0muhYFRjn6rXF/R/pnclxXPG+d4Bci0PbKm+uBdrx8NQ5nMGtetW5d+b9GiBU6cOIEvvvgCo0ePhlqtRm5urtmsMlG99vW1P5UMmVUmM9evvfYa7gV5UQkcyIumfEXZw8TpOgqND5Hlg87tYsL2crTjVIXtWfTOysuZxq2QRo2uNSlbsT2Tdez9Gjt2d6+fDeWsnj9uQ6kXcg1vkci06TM5DiFjvxbrrJ0/iV4KmUAHuUBnVs70909HOOLz/5KxsJ0vxgXL8frhRLzf1BN+DhL09hRj6/4bmNXUy+x4pW5G9Upyes326yA2htmYVq+o2FjOooLC0lLOAetMOpcV5RhxgQu238a+uMrOVX1PBTwcRNDoDTiZVIiedV0xs4Mf3u3mi4V7EpGn0uGFFn4YVM8NQvgY91vxYvZBVrEOY/+MQ0paLgY39oBaa8D8X8/hrX6haBGshKFQDfKky/VaxF9NR2MfR6izjIr0puelPOZUbPHGE8hEnPuFXAPWfSXQW3YtiDHAfY5Y5UgCDk45iKDX6yA1VHbQLOtXfhyWP5aUlTM1fLh3Lmk8K7dXfm+ZbU9jvj1b92tWjoxPWKyzp72ytCbpfi3aF8n9bv9My5Xty/R4NSrjiSHxsrRbYzDg17h8dPV1hDy70Hx7ucV0uMOW9kqsMx3uMO5aInCA3CKGnzSjArm5oWfsJJo/h7S5tXCHNrZrgEBbGcsrLe/CKSpfp0KT2hncjQaVsbNbdm+pATJc/LwvmWkuq3VZR5pzhwv0ZZfR5OikpH7m9RUoRRAKjGfLFIPUvOPZyEeGP86V4lxWEdrXrRy0/uNEOkYQITGTe4ZcI2jM45b1QmI4mrdPovJBQpOw1/J20uy9VVYuX6XFtqtZGBSmxBvNXOEmE1MX8iWHr6JbVjoaOlcaoQ6jW7Hfq67OnOfDICvbr0lBmU4ERwdWrLz5/UKPozSfW44YDRcSOPefuNA8lpdcN4GjhHu/UGXBymtVfuZ0X6402x4p1r9zZeoiYryV1y+n7Sz6Sa5NuaF8K994sg16vdlxeDlI6OCGwOTMFGp0xnImJybC5SqEnBcX0MibmBvmZ6ZI58JpiPR6ITyk5gYw8VoS3EwxL2cwwOBkHuNccd1kEvPjJbstUXHLmXhPkO0N6BxCl5NnbuHVpUexZe9VjOpRBzNGNqbDpCSG3vQ93a+lL6Z086Ahrl9tuILf995EqKcU0+opaftnVt9CdeV1M0GiMulPliHQ6rjtEOO+otuzMIppO2nRFpffB6Z6CRX9P0a/zvRZNW13y8uatpPlZS3bcVKW1Z7a+l6QMvp1JHTc1v6kkNOvAwwWg3PM/mT5GpPfl5czjZsuLyexGDDl4bGVKt85ZESMCHIRo1kikWD37t00LRQhNjYWt2/fpgavvbRu3ZoqZr/++uv3VC9HgQ7OApNhPmtuMQ/CtaCqOvRW1PkMrPXMsvqamWdNwK2X1ZhE1nobr1W+wQCFQA8noXlnzvSlMiBIAZnBGbP23MTMeq54JkSBmceS8DlJ7+IrwbADKZjV0BlKE2EcmcyOp0hj5Roy7g3SgeFivu52Tim2XzKqT8/u5I/Ooc4oVOuQXqhBic6AD3r64ZODyRjz2yWkFVZ2bH84loAR9ZwgL1ezNbkGSqUAu8aFQenrVLEu0lOEGWuv4uNh4WhT5rLZt44D9sRkoGOAHOpy68+spmXbtBwUYNyHpp03s3PAjOxinCs7IsB0AgGcDCZtgK0/LStnTwoRgcUIOGt7tu7XbLtV0mVl/96ec1hVWOdQU35NDIBKZ8DHNwpQUKrD1Aa+EFs8sxDaUVcLw5HYZ+kwcNoBArUnbXkOrcQNCxnq0AIrrsNkppe7L5aIj5VjZYnisY7JyttcIDbffzMfCRxEOizadBW/T26EADc5jsfnYcn2OEzsGUg9S8w3wHoOrYkrmXtJEPQSbl2PpeTTgXVXkR59/MsbVhFKQmT45ko6fmrtXeHK6ii38gw4cS+iQcqtK7HllKy2m+V5a2VfWjH3GHQWgwUEoTWJbcY11DHaUrlZPU1mFV24YWpyXaVLvSlOjtxQGp2aW1cXV3baIq2ecbI0le8IU1zl3DoIFJbHKmBeK4oD46Ylo+c2Cln1bOGLKDJDfC0TOXlFUCrY518i0sPVwVivX3ZcpZ8dGnhAKeAKYepFVgS2hFyRMQOjT8NaZ29fjfV8sdpte96n9r17bYe9XUHVfm9Xv1JgU79SardCSzVQy2eUP/jgA/z999+IiYmBQqFA+/bt8dFHH1FP5HJIKC6ZACVaVCTLEfnbG2+8UWE3ErKzs6mw8+bNm2mYLvkbmZAlHiM13lCeO3cu+vXrRwW6yAESt+h9+/Zhx44d1J160qRJePnll+Hu7k6Fu8iBEiOZCHndC0RVm6SdIurYPDz3m57BStRxkWHWvkS0dJdjXkN3zDiZTmeWR0W4Yvr+ZHzV1R/OVYxlulfis1QY9MMl+p2I7szrGYSx9c3jGBt6V6pOLuwVjDPJRQh3l0GtM+CPs5kIc5dVGskMHC2OrWmgEm/3D8HnexKxZpRRabd/PTeMWBWLuV0rY754eKpKQokWc6/moZGTBJ/Vd6UxfzwPHm8nCfxdZfB1kWLWH9fw27MNMWWVUQ2YYyQ/IHpFuOLnXoF453g6TUtV3rHt6a3AuoRCqtQ9yJ+ttMzDY8qXL3fE9CUHqcu5rfRo7oeu0T7Qn7/Fn0yeGhajXIPeg3bWZf/+/TRjUatWraDVajFv3jyaAvjy5ctwdDS25//73/+o5/GmTZvg6elJ7chRo0bh5MmTaNasGS0zbtw4pKSkUGOaiEQTEejJkyffcyhuVbHLAk1PT6cHSQ6AGMZNmjShRnKvXr3o3z/77LMK65/MMpNY42+++eaeKxcZGUlzLS9fvvyet8HDcyfCXKRY2c4XfXYnYXKEC95r6ol3L2Rj0+BQmorl+T1JWNLJD76ske8HyKmEAry1rfIlvv35RnCWi6EvvnN6qWYmncupbe0PeSDklmjh7yKryLtKOtaRnnIcvlWA9ve0RR4eI9cKNTiSVoyz+WpcKNBgWogTBnizZ8Z4Hgzkmf7qyXoY+/1F+LnIsGDzDag0enSs64KbGcUI9WLPNN5vmnjIqQjSf2klaOPrUFG3V+q5YuaZLHTzVsDpPud1riqX0osx5o9rWDcmEsZhRJ7qxttNgT/e7X1XD6CTVzOxfMs1OMrFaBlZOTjDw8Nzf9i+fbvZ/3/66Sea5pdkRercuTNdd+TIEZpWmHgNE958801qO5IyxFC+cuUK3Q4J623Z0ph+ZunSpejfvz8++eQT+Pv7P/TLZVfvn+RJvhNyuRxff/01XewlNDSU2dB99913dLEXYlAwvdtswNa8bHblH7Ujf6y1bdqVg9bWfHdV3I+1bTLPIausxMpsLeP3RBzKJogLJXF/snCBYh3V91dycDipEKV6A4pKdWjpIqXpoS5ezMIkJxEkjiKM23YL/jIRVjuzfa8lzbi5Nw1F7NzG+txSm3K6rj6YjLEhSozuHmB8oScVUke9KudXZJxXoUWdUm7lY8eVbPwvTElVwQn9gpyw6VwmWvgrbL5fJHpu7k570DO2a+vzRoSitEIBtBYCKmw3d/uwFDcyrhPYXFd72hehrfd8Fc+rPRjjGm1DZxJrdyFfjTkxuejjq8CQQCcscJXBxcRdWZ/HfTb0jDyj1lycLdtY8kudQAKtoZC7DQfuvSlk5EEWcKRw7pATtYB9XoWMQTaT0Pl7glVXVp3KYy4tcclW4bOW3njhYDLSM0sgFQrgozNg0pensW5YOJQmniYiE9XsypXs88LMqW7lmSPt2pgIV/wSk4NWPgrqaq0p1iJcJERvTzkGHUxBU2cp+iX8i24e3Jy/8mCuO7Ik2JmzjnYr8jW2na8cowaDJbkJ+ei04UbF/92L1QDD08hqLm5GemqhC/d9UrQxhvnzjNnc/NKhjJzbBI++YZx1AsZ7lvXeIch8uAMlPu07MMsik3EjW8Qj39GFU8VQume1m/ns62IoMY8Tt4xZrVivMuDyoTgcvJCGX4aHo76LAdqTcdARpTcbr6Gh9M6D1BVYaV9Z+eOtvSNsffdZe5fY3C99QNj1jrPjfSK0URmftX+9mne9tpuy5zY/31y7QSaT0eVuENFnAvEyLoe4Y//xxx8YMGAA1bNau3YtzaLUtWtX+neSTpisLzeSCSTtMJmEPX78OIYNe/g5aWrWcC0Pz32AK09inQZuMtws0sJJLIBCJIRaD8xr4IaXY/MQX6LDeH9HfFvfDamlemRY6VjcbxbsT8L2hEJ083esllHvAWHOUEqFCDfpyJH808dSilBkoQxck+Ebt5oDEeD57EYBXgl3xisRrujqpTAzkh8ULBE2HiMkh/OgECXa+zpg18AQvNXCCz1ClHj/SGU6xwdN3xAnKkY4bV8yskyUjaeFKvFnCy/09VLgh9uFWHQtD8UM11ri9XMgqQjbb7ENKTOhsSpQbiT/0TsIZ0fVhYdFai6emg2xm3bF5+OdbgFo5ud4x3AknkeTWvEuKI9RrkkLgKCgIOpFXL6QWGRb9KtIKuAOHTqgUaNGFeuJYUzcqT08PKix/fzzz9M0w+Ui0SSGmcxCm0LCb4mxbZpq+GHCtxY8jxzGFDi2NYodfB3we3sfRCmlmHUmA133JCFNpcPLIU6YFZuHq0VaBMiEGOGjwJi/47H7BlcV9X7zZCMPiAUk5UT1GKXBSim6BTqh3ZqrOF824k5mmFr5OuBwLmPGqAZCVWktxJ14qo/NaSU0y093j7uPQt9PzBMj8VgyLsIV/yYUVujhzGjpjavZKmw1Udd/oNdHJMSyrgFo5qXA2B0JOJtX2b44i4Xo7inHiiYe9N6ZeC4L/6SX4HqRhi5LzmSg36Yb+DkmBx+eTEe2ij3jJ61iL6fc021FtwA6uMBTu1jw6zl8s+kKSjR6DK3vVt3V4akm+HfBvZOQkEBnh8sXold1N0is8sWLF/H777+brSdpf0mM8q5du2hcMtG1IjHKFy5cQE2FHxbleezxlouxrJUXdqeVINhBjDfOZ6G/uwyvhTrh9Wt5+DPaHf/zd0DX1j6YuycRp1KKMLu93wM7b5EecgwIUeJCtgp1nLkulg+DhW194O0owZHkIjTxMrpe5pbq4O7ENxk8tpOl1uHjuHzEF2vxYZQrHxdYw/BRiNHF3xF/xuVjYpQbZGIhPuwagMnbb6GptwL+DBfv+w1JKfRcI3fIRAJsSCpEUxfzfcpFAsyp44KD2SrszVJhTVIRDZUZUNcFK3sGYdmFLDqzvPZaHqZHmosd3g/KvXqWXsjCT90DURs5nVBAtSe6Rz5+huIf+27R2atvewRUKKnz8NRESO5zs/zn1Ux5XZydneliK9OmTcOWLVtw4MABBAZWtplxcXH46quvqAFNhJoJ0dHROHjwIA3Z/fbbb2k6YaKHZQoRBiNK2PeSavh+UHOuCA9PNULyhfb2dUCUsxTLW3njt5RiRDmK4SoW4nxZuqUGngoMq+eGHNU9Br/bQahSgjiT2ZWHDekctvFzwD/xeTiTXox8tQ7XckoRraxa3DHP48W6lGI6M7i6mSfqWOSY5akZjI90xerreSgtc22OcJdjUhNPvHkgGbqHGOuYq9bBWyrC5rRiDDuZgW9umrtTd3KX4+0IV/zWzBPrWnjh2Ybu+P5iNv65WYBx9Vzx5/U8/HM5G1czSqC2QwGZRbFah3wTV/CJUa44m8nWnajJkNnwnt9ewNO/xuDfmBw8buj1BkhEAjzVIwxRZQO+PDw1FkENcLU2Xew02g0GAzWSiSv1nj17EBZmrpdQXGzUJCDxxqaIRCLqqk0gmZLIjDMR9yqHbIv8vU2bNqgOHtnpIU2hBhp19cQk6LW2G1IsISRrAllVFfNiwdoXS6zIuF5gs9iQwFYxLmvHxDoHNgtEiGCADgbYJr5hKXzhLhHCWyJEvkaPXu4y/JtZimhHCTL3JSAnqxRHctX48M9rGOYqhYdYCL8wF842BTL2oyXy487QlJ5OMfv/f6nF+OJCNr6I9oA2W3VXkQ5r4ky2imQIC9nXu5nBgOdClJi1OxFtPGRo5iKFUK2nIkmm6O6Di7it4iPWngHL+1hPhLwMZCRSc1+F7sq2bts2rdyv9uxLb6N+jD1Ye75ZsMXPRDZfwyM5pZgTroSYZOss+7umRH9X4a87taW2tk9kaxqoUarlCg6R2UtLhIx0REIXroiUsbJ6O0SAGO8D5jFYEb1itCUCRoysIU9ns8CWzkQ4jUgRNnKWYFNMDrqrM+m6XgYDdueV4uuNcZjWJ4TzexFDiMr4B4HtAlcWDAt3xvh/ExDhJEGQoxjpOj0kDmKoGWJkZEb5nX1JKNCSMBugi1KC0nqu2H04GctLtEgq1cNPJkS4QoQAL0800BUgXCGGr1RIZxW1BgMytAYkl+qQrNIhuVSPFPK9bCnVA55SIX5vYpyh7u2lwMqYXFoXSdl9xrrfrYoNscSZGOdFKGc/W/4tfbjnIJ+tCJe/P6Hi+60SLVILNFg5KBQt/Byhyyy+qyie6j9uHKBcfpJZFnLG82GeDNqINRFFVupPVlmVFfW7Yq4Yl+aycTaqSK3D9+cyodEZ4FtQDE2eceAlJl9NA7PqO0uZ19DaO8bWd69VgS4rYnu27sue/p89wl+2/t4emP0/O9579rw7bRXX1OpqgZhXLWfq1Kk0hdPGjRuhVCorYopJXDPJqxwVFUVjkUlcMlGwJp4eGzZsoGmgyAw0oX79+ujbty+ee+45OsNM4pmJ8T1mzJhqUbx+pA1lnscX8pqt6pCCg0iAfK0BPdylmHA5FzODjJ3opz1k6OMswd+5aky6WYQfQh1xv52wp+5Ppp9t3as3Ho7MKvf3c8DhzBJsTy3BEP+HkzbmfkCuv8FmSTeeB0FGqQ4Zah31zKgu9LyrpU2MD1Xi7Ys56OIrp941xJic7S3HpIQivKA3PJQc10FKKUYEOmJ5fAE6ecpR14ntgVCk02NOTB58lRJ82Mwbk4+n4WxOKQYEOKK7xFhP4oqdUKqjgowxBgG2ZJYirqQIeVoDlCIBcrR6eElE1JgmGQ3I0tlNCj+ZCAEyEZzFAgw5m42/0krQ0VWKJ//LoNstN5Jrsmhe1xMZ+LaBK6IcJSgoM66Ikfy48cKO2ziXXoL/NXJHMBnYySnAzSINZpzKoIOonzTzpIO/PI8HteJdYCKgVSOwsy7Lli2jn+UK1uWsXLkSEyZMgEQiwdatW/H6669j0KBBKCwspIbzzz//TNM/lbNq1SpqHPfo0aMi5fCXX36J6oI3lHkeObQQQl9FEZ/eHjK8HV+AWUGOqKMQY1OmCv1kQtqJJLPNL3jJka7RY1VWKd7TG2ic3f3CWSrEry286L5qAu819sCMCC3cpSLODHdNRQ8BTRHFUz2U6PT4MC4fvTzk1RoXqLEy+81jTmMXGbxkImzK12BYmfHgSbxlxEKcSq/Mc/ygGR/qjPRSPdJVWoSVueqX6Ax0opqksMrT6DHrSi4aKyWY3cSD3ltdfRywIaEQLU0GFolhH6YQ0yVI5oDIsvi6Yp0BBTo9PCVCiK2kuCrnlVAnbM1Q4UhuKR14+7q1uRJrTYScD+JI98ylXLwZpqTeUY8bf1zJxntlyu3vdPLDsEg3XC4VIbtUhxmnMjE90hWfX81FoIJvGx4nNHyk6QPHcJdc5oSIiAj89ddfdyxDFK7JzHRN4fFrRXl4bGColwKL6zpjRXIxdcnbkKHCqPhCXDGJW3vVV4Fk0nFbHQuVHW5Vd0OtM9AZjZqEj1xc42dTeGoGsYUadDuWDl+ZCDNCnaq7Ojw2Mr+hG77KLMX3WZVurk+5SfHG0VR8dCqD6hQ8aIhw11sN3NDQRYoPruRgzvksDDyViX4nMtHlWDqGnM5EBzcZZoY6VQzAPBHkhMRiLRZeyMaFQg2dTb6Tp5CPVGTTIGQXNxlmhypxsiwH88ksFY6kc119axrbmnmgmVKCRTcKqNbG48R/13PoLDJh+6i61EgmEPfrmWcyMSTQEQqRgLpdExFPHp4aBelj1bSF59GdUdYWqaEhSXHvUyxGVeM7iKjEg0DIigWx5+ZmhHAKRFZi5RjbNUhEVYpnthqLwihr7Qxaxu7ohTroDVroDNp7jrsh9YpSSrCykRtWkDydmaXo5yLB6mw13g0wPjYOQgHeC3DAp3G5GPvuf5jvKoFr2fGEzmzBrivLoLaov85ggE6lhYZxbvQ2xvvRfdkYP2Utro51bdRFmloRf68VCaETC6FlxYdWOUa5is9hFdNxs+O07GifdFUzeHQ6duB0+b350TVjaqGZvnIYSnQcpQBrddUz2h3WvWkt1s/y3iZb08v0zGdGV8w9BimjLWPF91q9X6wcF+uZFzpxXT71jFhc4+8Zz7yIu019LjuO08A4VlZ8aqBECqmAGBXknBm3314mRBNvGb5LLsS8xAIs8DHGpHq2YgecCB0ktrV5VupVfq0mByvRz1OBo9mlmB3gACexkLoVawyAjJxnfeV5IU7FXzXzxC83C/BVSgluFWnQ1E2G16LcEOgghi5LBw1jX7a8D8gwzxNuUpxW6bEyLh8bbhVgaysv47GKufeLwYoAI4m1tgV72nedlbZNUqjGYk8pLjiJaBz2bFcFCs+aq8gSFH7sQSxVehFnnTg+m1lWwIipFjLi1wVKtkeCPtNcsK1Uq8fc9XG4mFKE5Dw13hsUhiGNPWGwkvpLc8PY1sTlq/HFxWwcTCum9/AfDVzhdC0H5ckcNxQ5oI6bDM828cD0w6kYUscFQqUUqpSiKsUSW7sGzLL2vLsfoohedcYt32l9Vd7TIkaebL2wFrjZU+O0Bs1f8obyo20o8/DcD4i735QgJziJhNiVUYKbaj3UegNdTxALBHjJWYzfi3R4JVuDd10l8K/ibDB5H1VH+0TcZrK1Btwo0dLYvhsqEuOnpeI2wXIxGjmJ0VAItHIQ82k2eJikqXVIVuuwvqExFZQtrlg8NYe+jmJ4W3RGSUzvDE8pxieUIK5Uhzqyh+OyGuQgpoum2DiyRGaQZVbaRWJIv1jXBVOFAhRo9DTN1KwzGfipjU+VtQqe91ZA5CLFkpsFOJWnwek8NVR6A1I0Bprn2UNaM114G1sRBqvJELXxHSbq3PM236ALQSkTYVB9d8zs5AeFWIhCtR6380ppCsXDacXUSF7dLQDBudzwoNsqHV4IUyJTpcOlbBU+bccVR+N5tOHfRDz3Cm8o8zxyCB5AkzjcR47EAjVm+yoqjOSK/QkEGOskhotQh/fzNPjSXVJ1QxkPl9RSHZ6PyaNCOaaixGEKEX5p5I6bJVpcLNTi10wVfsospTHa0TbOklQXAt5Ie+h8nVSM0V4KeNUQ46EGjc3XCno4ivBOhjEmd5iyckBMKhBgjKsEv+ZqsMCnZlxbayglQjwd6ozUEh3evpCNcUFVz71Jwk7mhDtjc3oJjZEuT6hBcj6XG8pkUIgs5XmXawrFegMSi7SYcCmHxnr38ZDhzXDbc6I+TNwcJLg0r1XF/69nlCAlvxS5+Wq8vu0WVp/NwI6rOVBIhPg/e2cBHkmRvvG32kbjyWZd2IVl2QUWd3fnDg535/Dl0MMdDjvkgDsOPTjs4I+7u+vCLr5u8WSsrf5P9UySkepsd2YmmUn6d0+OzaSntbq6vq7vfb+F7SrYO2kWNI8Py7h540ZMq/YhwgmU1wyJuOW7Fdh8ZBA7jAvDtxJ9usfQQyiH8UCZm3kNVUp7pOvh0Q8kSgveKYZEAWc09l2HcZeAgDfjBt6Km1glj22NDkmYFzMwaYACUVZC5PaFUSu1kc2c716v4A8Nfhw0uw2/xQw8tTxmGZptU6tgn4CADyM6blgWx3hFwHENPowvkaAoHQEUEs2/bJWHc77o1PBjTMcFE0pHlyybxdfVDiXW8Im4baQf1zar+Cxu4KJ6n6XrZexSIeGuFtWShpQDp0+txiEfLsMPkQSmFGi890FrMrV6twY/NqvzY9W02uD/nNeFexZ04eAxIZwysQKDxSXL4tgyJKHFoPAT4OZmts9JrfId06px4c8d+CmqYy2UBjHNsDTjCidddkpDACMrFbz0TbJsGWN0pYJvl0Zxy56TsLZhQjMp6laiN96uUsT8DhG3z27BQ9uOKcpxeJQ2ZTEe8ALlkmTIBspazICmr1xf4VQfUSx9Rt717vLUdwhutuWiZiDvGEwXNZvdkF3rVRdFaKYOLUuj7EYX5uYaiGl6v+NrCK5oVvGn75q4b62lsRUrrYm6yypV+M+CTpzPCTjctEOm72QzxF92apgT0THeL2IKBUbLpGfWg6WRH/RzUic2UiK4eFQAU1nKnmbi2UlhfB7V8VtUx4ttKn5TDSs1e5wiYA2/gBGSgFkLotiyUsbhDX7UZA10NI7mUrDTtOepEc7GpCZMkcJ0WuNZz09TZeSpsXZz/Ha1yx1vK88+w05PfveiCI6r94MkjB4ZtpHIPbFSQHZ+DjgaQLs+K1sDyH4jNYTvl8DR6Ko/NOd8JtbzX46ZHM2rlQrCQebVWU8LsLqhTTZGURztNuWcV7t6xQavjrLNspUTqsDmGu9YheL8H1rxrk/GdrHk99kZY+rTSNzg17nPqs+8MnjaZZ1zXHa63Zjd+UrxfURDa0LHJEUE7Z4CXsl6ee3V2q9U+vfxfoKFEoEQ07GRBMTTZi9fW54MRquEXJ1rvDV3vW5003b7lU6XQfFKl473oob1k06AAHtWSBjTmcD+IRF3/dKB621exIqcut36b23cZXn1vMVGjh55SVfOR6ph4s1vmnHvnFb80JrAaWvW4buWBM5bpx41ioCoTnHq+0vweVPyHDODy3s2HIGJQQnmjBqIMQ3R5VGrTaavXe3KNYHQggZODwhYp9GPkQs60LIw+cwTOTICN3WU3dVhLnygZretfJ+nhfYMcV9HWchrHbx7W+f4Onh4DOtA2cNjMJgiExigWNCpYUp1/+ogH7ZGLfb6vgVzojpW78es8lLVwIstKj6LaJbWeEZIwvSwjA/bNfyjQ8UYWcCNqbrQLI38jdX4aXjMrGyLsIwt0j5LmBTzNBOvdGr4KWHg3nEhPNKp4YhfOjHFL1pB9EZhGZtU5Jd+7lF+fBMz8OdhWI5mKMJm+Lau9+OSue3YdpSv58WaXwBiZTChzMpAXTavC2ePC6OygC/hWMmsGxv9uKpZxfm/d+Hi8WEEBODzLh3NqcF5qpTzgMKC5IMWRLF5SMJV9Qo6TYqRooCgAEyQBVDLwDa5YzuHJTzWEccPXRqm2dSqLjSLOlTs/OBcvH3UNERUE8sjGh6f3YJFLXHMqPVj48Yg3mEGXhEd2z77u/WdsCxg7To/Ht5uLOo1A3VpQW1/cpjY82wXr26yRynjzSiXJF6g7OFRQD6Mm4iawOQ8HshBWcDxo4O4ZWEEt69a6VrzdvOiKKolAceODmJGWM7QVJ/1QxvWDfY/VZo5zq7mEzFZEXD6oiiuXR7HxICIq8aFkKAUn3bp+MeyGBpkAeNLUK/nURz0VDruhQsjuH+VCgQ8t8yyp4aT/bGxT8SVrSpui+uoLcHyOkwj/GWXjpdaEtiwQsamVQp+LfA2WNu+pF7Bv6MmTvilA6y4Rq1E8JcxIfymU8s4aqBhATHrao+tVVDFq2yQ1g/LhODgKhl3L4ripHEhy4ei2P10Yyog3+qeH3o+23XVKty11eiezKv2hIGdnvsdq1TK2HpUCCesUQsl9ZLDTabCQPmWeJQXZTES8QLlksR7/V/ivNyuZtTu9Vg5ptUlDk63+EKXjigFYnp+D+YdahSrFMqbbfxyI30FLN9EdJw0OoB1K5WMIPnTDhULVBN7VisFmXG6YlQA24QlfBPV8UKbinVDMg6u92OTsIwrFkVwwKIYbmpO9ARRA403NBo4mPv7S6tVWtf+9mWxEusLPPrDWL+I8VlB1J+rJKzvE3HYqwvxS57BSzF4bEUcF/7WaWXjnDQmVLQ2wPq/k0cHcdLIIK6eGMYdUyqxbbWCsEQs47OB5r5WDZNkARUOR3Q7hEQsiBs45LtWLHVQRjNfJIHgmz/P6Pn9yu3G4todx2fIk6rYC9gqBYu6NGw5MljQyg8m8Ya6wx3qvbT36Cel90q4QDCNgpMHpJuaeTycamz7q/l4tV3FtzEDh9X5sH+NYj2g+6tx5uppePVfC6CX5O0Dtzayi5quTmvwqjKFbJowstZt2OhVedcmXXe80v1KO9YdwhKWGhoWzm3BuEDu7aU0JXVs6QS2Gp/zWWVcx7m1AZz38TLstN6IngFF23dNuetMS5+b26VhjF9EdVDOuN7MgOeCXzpxerVsaUgNB7q4ldX+Zko0VTXwXcxAs2rixJ/aLW0qC/AjrIQWARoJ0BnT8WDEwPsJE2GfiDpZRJ0iWD/1ioiRPhEbaTqnbfO0486ui0EIdEEoitYq39rr3HvWxX2k56mpd+NV4KYmvGxQrC4L+DCq92jE4q25wZRioznl6YZ5mnbDYV/O+n+1inD1aipHP89rK8HaZN3gHDjPDV5tZuvzb1bkfCZWcF5WGTbnhVOXlntdbAJXLZar2dRt9lWp7N0Wuy+XJ0zL5K97RpIFzQdVSBjZmsAxL87H2QEBM9LK4Y3fY7KjfbX2oTXXndjN/cpb78ctCZzf4MM6fgG0IwG2BbWygtsGeP2LnXabty0tpmNN9o8o0F2N98OIgYPqfEh0qCuvSd+RcHxvSRwtbbxTxVcaxTMxA8sN4NpqCWZEZxbduevlaP3PDBDcqhMc/k0L9g6IOCiU3EagLleXn67FTsdfnXt/BDj3jL6wEwujOup9AnYZHcLOCrFqIHfr6n/t0nDRdy1YHDfAHtPHv7sYu9X78ZeUKRpPd2xXx5h3XVWwfoBTe5zzWb5t0I6VPU/7g5t+O1/cPGN4uHsW292Hzr7NGyeo5ZDlZNVRLqH9LKV9GUSGbKA8VGC6Gla39u6mhKUt3crTfpY024YksOfBn79rweVTqzGzsv+zt2vXByyN1n9+bMPR02odfeft1gTWq8zVnbEJbha4Ls5zpjub9XwCrq2TrXQ+tlU2ZmYavQAhqE4NsNk25+sUERO4fEqVNcvdrCaDa/bzwMIu/Fs1sWVYwuG1/dN1e5QGL3ZqOKgm/4wFj8GHzQJWywJaTKA+K07bQhZQTShuiJm4LSwgVCKzNax3E7JSjQcSlpadGABz3XmqiYtaNYQJwe4BAVv4BNcz2VNlAbfVCrimQ8d/ogY28hFM5jhPF4o3lkaxw6gQzphWk/H5kpiOk75owimrVmHzej+kiIqHlsTwq5dJ5zHcYJkPpVSSycvEsPAC5RKnWiR4tUPD1WMC2LDE69Z69M4qTxwdxgVz2nDKpArs1NB3Wam+OG2tOhz46kJMqlQwOigjuyIoS2teHjcw2ifgzZYEXmtO4M41qnPW80pzAn6RYCZz4ylw+6wW+ZpnagBLDWoFzpfWyDh8hWppnNfMenmwa2MA+362Ar+3qpb2ecOQNCjpix75UysSdBRhFt9jcBjtFzFbNbFVIPceX1Mi2EQmuD9O8WdmqzyIvNeu4sMODXMSBnxk8IwEp/lF/BA3sFkRX2i3GRQXLovjkKCIrVmFgjypST0Sno2ZON1p7nY/+Lgpjn3H51ZyaFINBCWCXUYGrIyFnxMGHl0axb0zMgNqDw8Pj8HAi7xKHFa79/QRfs8UqcxYt0rB7TNqceYPrfgpomOnBj9W6ceLjpFB2QqWn/mt0yqhsW+lhJ2rFXzSpePDLs0yzwqIxJoxZtyyehUasuoav9eWwDXzkgU0piqFGwi9FjXwm2YiQZPVlXYLilg1bf1vxAzc1KFbs1EdJizt9nFfN+O5jUagThHxQUscrzfFrf09vs6HHxOGZQ72hyoFR9V5M8vlyKYhCR9EdGxfIpkvXsieH8dNqMCFs5ut+/yQCsnSoqdziI/glC4Ts3WK6Wkp2APJtxHNMjA8ZIQfewUCmJDVxw2kNnH1gIhHrLrFxSFqUqtO8o5hCVsXyF77mJCIEAG+4JTQ6g8sVf+Ctxbhi6VRHLFWPQ6YnsyG2nxEAA/+1oktRgSsbIVuZlQqVq3u/87vQlAScMdP7fjzuDBGZD3H8uXRNhXPderWy7w6iWC0JODoGtkbWw0TaDn4VXhmXiWJFyiXAZ5zsDvYMImUwAh5AkuZX6sO/5rfhUt+bMfyhIHpNT4cO6US69hpHznsPanS+lke03Hyqwtw34o41guxEkwS/twYwMhqH5YkDOu4GzlatnGpWYdd6nwFTUlks8VPRgysIhGsMClejRo4rVrCjqkXAqvJBBMkgihzv07V8qz3izj8yybsPyaExxZFcPT4CnToJhZpJtg4ba2AiH0LYDbGXE49p9OBZ6OghNua4lAp06gP/sBEGCQjuaHCOuyFX4MPN7dpuLpVw4W1mfdmkBCc6BdwW9zELaGBTRn8nJWoi+l4sVXFCaMC2L6GaYNzdb+iU2FjAVjdL2FuPJqh6y4Us+MGrl2RwCZBEQdXy9CYHrkAMG+IA4Mino1p6DAp+p//lOS3tgSe+6nd+vdV7y+BLBLsFZZwwIQwPlwRw79+bseJq1VnjG9mrVaN+3/vtLw0bppahckFzp5j/cDPqol9q2Sspgj4UTXxnzYNR7FAuaBb8ihVyuJZ4AXKJcmQDZQpNUHTDHKKYeqTJL+HMM90oHj76gw3RhA8MzA73JiEcbfFpi4d7C/VVei6BtXQ+n1edY4Bjt33eedrxbe9Bj5HsP+TgIhI8GlrHGd9FMfeArAzk6MQgrHtuTMQwel1OZ+xgPjhbUZbGmg57bwzQ5SJnP1KpMx9Rvslq9bnhZMr0bU4ObPsxGRkZefr4KCI8QLwg05RJRDrThibpnEb5xPx9wbBCqjrBQK/QCzzkXejBq7/vRM3NvgwOZ469sq0rkg3YOg2hnAOx+KEUoiGzjV2Gaj70JUpjItlefeR3T3LO4dOTf3cYiR0y+CNBU/LoxpGSQLiEZ6BjvM+U+bUebXrR7KNbSwzx5gKlXMvCxwTIB7KslzzPYbO+b6dMSTveAknoFPC/BdEMsf4i3JKEGk2Bl28tsWMqLj7ymkbk1avww0mxe4fLUN8XCXGBCQ0/dDc8/eNA8Db7RqeMAnOSXMx7tl+l3N3bB/PuIyz/79FNFw6rws7Vcj4Y4WMzSVia/gk2fQDbu453jXkfabIKqoFgl9b4hiXZqrl9Ps8NErxSHMCr6sUpwQFrCcAiTbV3oTRxf3VDbtzpovEqoW+6dJuazLg2YSJ1USCtRv8js2kRsQ0vL9+vfXvG+d34dJ3FmPVzUdierUPl86sx0HvLsGGDQGsX+dHZ2pbqwJWFYVuo7lYVvu0u7f49yHnWtMEuiQR00aFrWyvUKeGF2PtlnmHmZV30t/n4WBQiFdAvGuYr3GXG/IdF/Lg3e9S1njQwwPDPVD28Cg1mOHNJgLBFEJxmwE8owNbCBR/impYJegsVZUF1m6fYc2aiRoXLt5u2MIvYss+HnQsVXNsVkrmFkERmwT8OWmcHuXPCp1aA/uRRRj89AWbiWIvYP7ToWOBNfgFzqiRsU7u+yaPfsBSZXdrDOLZpVGcMKky5+/Hs+yWZhX7tCUwpdpXtBrJyxIGvm1X8djCCA6sVrBPAbJPCs1UmWCuRjFOLky7PqfLsF403lIhorKIAUwrpahNvTBkM+Ls9cZdMdMaJL7U0L91zhofxv+Wx/HU/C4rUK71ibhsZh0u/KoJD20+akAHoK1pz8FpYQlRg+J39pK5SM9GDw/XsDFRKRloeWM0Cy9Q9vAYYBoIwaUSsJgN7k3grB/aEBKJZfq1Y70fDZz06Xx4cHEUm1aV1oDSC5KHJu/GdMsleadFmeVk/iICGxdhkN9pUsxakcCCtImlLQMClusmbm7TcUS1ikNLQy5d9uwxKoiTv27GsamSPemwWdT9QiLun92CyzcbVbBtxg2Kx+d34htWJrFdtV4UrlWlYLsRAWznorTgQMJ8IOaqJrYP5tePLzAovtAolprADWGhqBIs9nJrvgFMTu3y1zrFhRHTyhBhORU3rEjgxDrFqsLRH9InYzesD+DAiZXY/50lOKreh11qlKK6lLOgf7FBMwLlDp1aRpglOEnsMZxhQXJJBcoltC+DiBcoe3gMEqMJwf4iMGvdenzXqeGlFXEc9nUzpgQl7CmL2H5iBUKKaM2kzGtX8fXyGL7+td0qwXTS1GqEHJTy+LhdxScdKh6Y0VteKmZStBgUzan/svmf9X1CTh1jDw+3vJRKtd4lJKKWpdtHdLxsAtcbwIYmxVnWQLww7YzpoP+0NGFp3+9sULBK1gumJzp1PNGuYf9aapUk88iPiUHJcsH+qCWBqZy/s5R7pcCZBM8sjuDtFXEcMC6Mv6xWjRFp17h9XoezlQxwMMTKLr0SzS/N8+WEiYfjJjaQCWYFixskM+YaQAzAiZ0GNpUJXlEpwgS4IiRadcuviRlYplNMYjUGXbJVtYL/W9CFaVUK9ku9ZDlsciU2G+HHFZ+twIutCdwwqcKqiFAMvtQo/hE1LC+MSolYz9Nrf2nHLiMCmFyQ5GUPD4+hzJANlJmehA6Ao1P+upXB1TgXSxvJxYX3CG+/7PSm2cvqfgWiqls65UJqj+yOlbuvNuvklchr/r4ZbA7mSOYiGyT4QtfxykdLcN3bizBRJpinU1QQgmkK+xHwu0ax/8IIzq1JGpOM3Hwsd1ssAP6tVbXK9Zz8YztiBkUTM/1iplqKiHqfaP13SaeGuzo17Fvnsxy1u2cN4m2Zs4KFwO4a8Bem/dbimlSEKYnOr62L2aliaKrc4MabiNc/5HtMdud0RUxHu0Fxb62MxtT6OiIEOwjA05TivxR4wgD2ivC/7+dl7HJ0p2IqWGKzYBeERWzCXI4NmqPR3VUA/kcI3lsWxaZZZXQETrqlxMnkiKyIuuifnOvEtS7VsS5Q4uiR3dwbPO1ut39BNgZH8xms67V32mtUEA/M78JJEjA6S1LBZvetQCRbT2p3XBz9efPspp5ZwNkJE482JXBijYJ1O+JARxytK3seca6LbtpohDnny42+V+fUpO9anEAtKJiV1aeL45iceikUZrbSDrb/DQUeVSnmmcA1AYLxqXPn6jnbD6+C2tSf2ez1kwmKM30EW7HrmzJAqhNg6YY1XVipLj5bZ37xCD8uJ8DV37VgO5lYVRoY7Jl39yaNuHh2K+7r1HHm1KTBV8vcFkdaZLv2mn2u2g0T0yUBJ44OILKwE6906VjQqeEvQQGGahbc78EN+WqB7fpiN/05rx3mO4/o5rgGSvttFjZRrzh4Zl4lyZANlD2GLzoRSsJxtz/IhGAjmWCzKgkRk+JnzcQkWcjRpn0YN3BJi4p9whJO7MNh9fCJFThwfBi/dmkISwLqJMGqp5xO19IIfozpeKw5gQdXxHHrpDDGFrg0x0BjEmK1A4+BoUU3cV6bjr2DYk+QnM5ehKCDUjxKgV1BUQiv2WYTmNlHiRyWIXFFrQ+n/mTgVknA+EEqXzSU2K7Bj0vmtOFoAE+NUOBP63fY+49aB1kudrCZvu/jBt6K6HgnYlhlfHapkDHTl999rAsD25eJINgLFP8H4EyX331cpdhCIpglAg0DmAUxWiR4rlpKpiNrpvUcSoe90tDyiGfGpl5CPc2yA0b2vnhhM+VnTa3GAR8tw+6jg5jKMa7Ll5kiwVOEPUOTvz/YruH8esU6xsL4hnuUA9oA9wP91yiX0HOqlPZlEPFGkh4eJUpIIFjbxzdw2cQv4pYGHz6Omzj53SVojts/8lna6eqVCsYGpZwguZvVAhIuGBvCFpUyvihQ2RGP4cNfl8awoULwpz50mYcKBHcSNujO/+EboxTHtev4hTOrl80+AQFP27g8e7jDLwq4fe067OAXcNgKFX9r1zCfTdmy0kgywWc2LuF9kTAobpvTit3eWIS/N6uoEQluHOXHP8YEsE+VXFT9arHYEsA8AL+7zPtupSywG9ggOds7IjtIZgQIQVce5XX2GZF0zb51Ya+jdjcVsmBpzj9vce6O7gamn68iwP6LYrixOYFVFAFLHPQbHh4eHgwvUPbwKFPqRYKr62SsU+/Hga8uwAdpZT36y2SfiF95qZ4eHn2we6WMNxMm5qwkdbU6z6CHzTo+EjNwaruOf1eJmOHAsXavoIi3EtRK5x0I4nmmY5Y6G9b4MKtKxr/qFatW+vmtGn7XTazD6tO2qWjp46VdNqw2/EkfL8PiqI5/bNSIu8YELDfr0WXuRCyBYHfAmlV2wzgBmF+Csln2EuRbVui+nzQoIjbvw6F8WqWC7zuKV75nD0VAuwm8HjWwZVC0ZpXPWhbHea0qvlJNSzbg4VEyZl6l9OMxdFOvmXYkX/3IQOBmH7kamTydP11pE/N8gLvSTvP0Yw41woZkQlcN66eQ++XqWtmcVx9HB+lUa8fQOHrDnTraMJ5SXPbuEsvYaF2R/RBMUmmOu/SoGTV9bn+xbmK0TyyIDpdXnzFf7bLtclmfm8SESSiM1GxXf/bJTTsoVt3J/Pswp3Wk+fvvtG3uEhBRIQKXtOm4XgFYASEmf9A5MZNk89TpS07dZFJcHKdYYG2aYl0BqE0Y0IhpX0eZEBgaRVgz8ViFCKqaljFRd63WnO3X+BxpifvSKP+jTcXTXQbubvT11NFlqaz90VZ2I3NKx6mc/bKro6xyajZHWvjHFazO3ZbEqW0cHhlCmNVSZ8Fdu4oLF0Zw4+QKbNAZwZNvLMDuISnnurBSR8xfYbZq4vvUT4Kl4ldIOFwRIcxrz9tfI/t+7+4znOqRbX0oOJ/z2nZ6G96WAs9QYBGhmM65hrx7bnyrioUOn8u292yeWlqefn8mIZjVqmENmVjZTOntmF3XdCNIg/OipK0phtUSBt4D8MvPbahL7WP1Ksm/TwbFP9sSiLfG+c9+F9px3vE3SARH+AW8rZr4oUvDQp1aP4yv1OQz9eIqCRtneRmkUw7jyULpfvN+V8PTPQ+yoeIAvSfNj1ILTktpXwaRIRsoewxfCOsRy6FTLCDTRII7A8AvJvCFATyUMoQZD4ofAKzNTE1YQLM8hoNG9GrEspkd1XHiSFYUZIi0A48Bg/mqMx/i41Ix2L1K/lrk93SK61g0leJohWB3gTp2ARbyfbvnktVkARQGjl6WwHFVEjYPiKinzve3HNkyVXruzF87cWBQxJsxIyNQbjMobmpV8W3CxAiJYA1FsFz2j6hVMEoiRT83wiD1A+xF0e6geIoC0x1+Z5wIfFaCKoFVU14AL8VMK1BmwfGNHbpVBosZgD1QKaJqJYHQhFTwv9CgPYFyN2N9glW+KWIU534VTIrtLMduActMinOCAm6Omlat6B6G7i3qMYj9gEf54wXKHkMO0TTBhqvDDablW1WE9bM/CFpiJj6jwA8U2JAA/6LA8y0J20BZNamVdr1qoAxMLxw8FMUBDpKGOytS/z1ABPYSAR8hVg3W/vKNQfGVAVQBuDpAMDY1uLYxv+cimQMrI9g2KOLhTh0srvhnu279PFSvoLb8b6mVBstsHHrTgi5rlvjNqGH1wExL/kzEwBYBEWfXKpbvQl8zl8VAHuA2kM52AJ5lwaFOMdaBmdw8A2gowYCNZSY9PULBkU0qlhkUNQLwTtzELRUiTu00MIeVGTQo1u7jGGtS134tzjLsk5BIMDeic0uPFaINsO3v6+/ddr1AsEQgeCpq4Ded4tI2HQ/WE/hp0h/EY2gx0M+CfuG5XpckXqDs4TFEYXVNtyRJYxlGh0nxtGbit7iBSZwUsx9jBib6xKLVs+zWb97boVlB1KGVkmUc02TQnvIkHuVLc+rd1CMGsAsLlPNY1/FximUUeDpIcHIZzcayl1WzamScs0LF9kER+1dI1kz7cIDVy413yLi5TcN7MR0hQYBfAA6olLBdcHgONVg/twsoHosamFXZ9zlgGvq3NIpLg6WZ7shmyEOEWPXLFSJATJWNYoHvqwmKFZTVXiY4I2hiTOolSJNu4sDFcTxTI+G9VCkmVnQw+1XtzzEDS1VzQOudT5MIZvhE7BAQMU83cUKzhkObNEu+dERIxB5D4IWxR5nhpV6XJMPz6eXhMQzZRyCYMTaEM37pwBUTw5gRknPSrmekpUwWmt80E1c1q1b65XcJwxpo7RwScejSBK6rU7BWnmVgPAaXLQXgawH4wAQOt9KvqVVGaBuXOY2XJZJB8vW+ZPmYYsFK4XQVwGAsGzb4fmqMv6dEHU+jPFRhDv0sc/j0GgUVqaDHqTaRBYrvRXW81KVbzsSHVsllW+YvnR0BnKGaWGJQjOpDe/ydRlFDWPp1aR4zC5DZMbBguZnNIBOAJd1fFk4GlCwd+5kExWVNCdw1KhkK16WOZc/WZD75SAFI+l9nsiBuYIdaH2aEZURsfAEKyQsJ0zrPM1Nv8yZIAp5oUHB2q4a1ZIL7IwZ29gtcB3APD4/hxZANlNngxKAODDFK9KHExaGZhBvThGIZVDg1Z8rX4Iu/cWqtt9CF7N0YHrmBt588syG782p3vf1paWbdzGyNYZZCcP4vnTjVL2B9maByQmVPoLxdmjOpnWGR032tmVKNL7o0rNBMNGsmHm1WcaBfwD0RA38ICNheJjhnRVIldnazilPHBLFWWLZSv5k5TNcy5y7e2ftKCU3+ZBu9FaBNcK+3G7MczvVyer8wCt2u+8JN2w77RZwH4DXVxN/jyX2sk9hM1MrbJUPXKZ7SKb4wgQskYBWbANsu9Zp9P2M5AhiqCS1hcjPcntUo7tWBp/xJDbHOMdhSbNKDeaZR6deFhQ7J5GNA55Sm4u0Tb/vJz5vyMmziGSHZGapVjA7nbotzDnjbv25+F55pTgY5vpEhVKZqsXcs7MxZtsukMOoDli61XadYkjDw5NI4qijFXpUyrm1K4E/VCnwicWXkxO2zdJNv3OWwf3PzsoPXFbPMnj2DIh6Pmzg9zSxNbc8MCL9UTawnEu5+cU31XBiP5Qtbp0SpFUQ+E9Wtmso7+QVIzA4kpf1krWQvGXhJB36OG5isJNsN23O2xBmVEnbMmqXtXMxeVQHfdmioT/2eb/+WffzPsvMazmwDLyVMtFDAH2MvbAnurk/KAs6vknBMs4bJIvBL3MRqaWni+Ro2urmGAwnfJLbw+1W0Z69DSuFcrxRvRrkk8aZwPIYczO3Wwx6WKndWQMClMRPz0h5ebEzA0rLzRaMU/0qYOGROGy78vQufd2r4PW7gjimV2NUvWOl632oUp7dq2FgRcG2VhDPGhrBENXH57124a3HU8QwUS+VmKeVMN8e22wNhwbLXDgaD7RUBJ6eC4etMoNOhiQqb4X3QAP4mJ13bC4HZh2vnXjLBE/7izloPJ04YHcTTM2tx8rgQjv++Db+mXqCx+/TLhIEfVBM/qSYublZxxLIEzpvbjn8uiOClFXHMjxk4f3IFbhodwHS/kKx9W7A2MPjXd8+QiA/jhmVsZgebqY2XsLcGezLMNyg2UAS8FjexN6dmOruXmOTgwuYEbkw5q19Xr/RoghmfJ0xc0pp0mp6vmbioWcUHcRNbFSHV+Tud4p9xihVZL93Yq+ETFZZGnnxpw1KvGSNFgg0kgl8M4LcBfCHpUXzKYjzA9rHUfjyG7oyyx/DFEISSGByVMhNS8cNCE1gz9dkpo4M49qcOrB+W80rBfkijWEKByyaErTITUwK96+okxNKxsUD5vloZI1KD4c0akgl5y1QDR81pxzLVRHNUR5tJrYEMcw/+U1iyUvnu79Dw367cgP60Cgk7pwZvJojVDjwGhx1lYpk6vZOg+JoCmxNnhkGPKEz/WLh7Vxf7Hnxnl0/z6D+VkmAZdB00KoiRPhGnzW3HznU+vLZCtcyf2B3baQL7h0VcWCujbiKzacskEtXwRczACoNimWaisQCGX9pK2sBAwGYr1/UJ+CRhYEeOXtsqscQcwks4Npurs3sT+FQ1sYVPsMyxeK9Vdw1Jlu/E8xEDS40Ejk1ps//apmG8SDBBSqaZ39qh4cOEiYMqJOwSFItyLz6aytyYR0SslfY52++rExQbKQQfqxSPRQycVSVYmUwXh0UsN1mKecF3x2MQ0YTB7wc8yhMvUPbwGIYwLeFmEsE1MRPXfNuKx6ZWoVERcNbYEK5aGMG/plT2q1oGG2C8rgH/CBKMTwuQe/5uJHVubFaZDby6A+VuGhURF08MI2JQML+xahFgyYovRA38eUXCWn6JntT6nVYtYbFOcVeHjrMrJWswml3T02NwYDNLe/oIAqqB/9KkiRszlltZEDwUNKkewLa1PjTIAt5tS+CSWhmTXAS8T3ckZ6JLsEpSXrCySm/FWKCc+7fbVIqvDWBrMRU0l+B9UEkIFhvAo1ETf6u2HzrWiAQnV8vYLihabt9sxpgF1u8mTGtGen4quq4VCO4e4Suaw/TjCdNyzWcu4qtkPWcOVYhVm/3p1IuJnbNmsysJ4C/Ba+Ax1GGzuKX0gt+7B4Z0oMz0COmaBDvNBWFCtjKGpy8phBakGBqPQmuPbJfTTbDKQNnL56sxst2eQ02ZG+y+LxZQD72mALyf+vfxc9txjgKsLhKsY1D8bW4bLp5anfFd3TRx36IoFhvJUic7BkWMkAR0tSTT6BiWIyorx5EAVsxpzdn+d41BrG0S7NXgx32Lo9g9pY9OdPTq9WayY2TaxMpePd9xIRn7G9QaeK3uz5x9eC0ewY2dOsYpAtQI8JeRAYwJK4jG4VzXl+c15K3Xrr3x7s9i6afc6DCd4uY+2pQQ1IPiIgrMpsApgr0e2592vfvSv9tplKOxrOVY+j3lL5+ebMA0llbr6+ptxyvrs8yVaJT70k5bm+LI75Vee4AM5IAzX4BozGZfOcdfyd5A8bYVzt0JoSrXvzw0Pnnf5i7c2zY2TP10/drGXdSwkXkwk6hbRvl7nJPt4OmGeW3behZwro2ba7iyNrQy4q0JTKcUt8SBjpa49UJITB3fAoPiSwO4PkRwVBfFE0yrH2RdICnYs9ONtwUPlikwlgmSUzWVVYFYn6mce6b7s9VSP+ODIv4WM3FhlYTL25Pt9voaGdMVwTou08Gx8a5VX+flHZ3igQTFH2TgCJlgXtZi7Dl3vcbqvFOMYAZqugE9VcOZGQme1Gng8ICA3RViOdnb7UOxxhQDidO2VQp+Pvk8u6hSBqaKXnmokqSUXl14eHgMILvKBH/3E9zqA2YpwLUq8J5OcZgM/GoCJ//WidN+78Qi1cCLbQlsP6cD/+nU0aRTzFFNnLI8gYubEuhIaVAXU4qbTWDVPp6nO9b5MDui41+LolZ6phuYZnFGQMpJ0ZuoiIiYwO3jQti1SsZ9TUmDMI/SYDVCcCIBPgbQ4lCvXCicbG0pBfaPA3vHKB7XaI85kcfAw8oJLdBMjB6gGssDCdMgTxaAb9LG69/qFDfGksZSQlqzu4+JZ0sM5gPBMnmmyAIuadFwdaszd+qfDYo1FQIWPjPrgv2CohUkF4vvDIrrExTrisCRimDrQXC0QrDU8lAAoqnTvdik+Cb1YuvlhIl3mWuZx5CAerOjHv1k6D2NPIY9hLKEEe8B54RJIsE4gWBNkeB0BbheAz42gLMUgBkXL1BNHPdrJ97t0LBOSlvHzuzPqomL6hSMlQRcbQIvmhQXm8C2BDitj0A5JAq4ZFIYx4wJ4qJJuQ67bmFpiuNTg65zF0UxVhGxQDPwQFMCS/X8jck8CsNWhGAsgHvTXHIHAsHBtkYJBPf5gVUI8JAO/CEOfO0Z+QwK/27VsGeljOoCzl45aQMDxbYicK+WDMjYfXB9zMSOCsH9YQEJQjCGAI8EiZUy/EKJBWnfqxSrKwQnV0l4sNGHz+NmpoGiDQtMinfipqUDvrFGxpEVxUtkZC96z48ns5ouZKkJfbQBprE+008wXQTe1yh+NJIvLZhr/1YKQZWQNPvyGBqUUj9gByFCyf14DOHUa4/hi2gaIGXQKZYaq6T6xBs0oBbAmABwYJ0Pf6rz4+MuDdcsiuLaegXr+EV8GDNwxgrV0qGtRpIB0CwB2NiBrmvdSpsc0z5gg0oz1WGxf38YNXDVshjSs03HKAJW8wnYo0qBKgB/b1Oxgabj4LDYU9PVY/D4PfXD5qFyk3mLg2Q4e1nCainf6E+2rXs04GI1WTbKY+CYHdHwTdzAaazjGYQ2MBBsJRGYoPhrAljDMNEgALukXvRdHzXRTpPlpC7yA6fFKLaWkr+XAp/GDbwdN7GJ38SWARHjZYIfTWoFmn1xlF/AnypEVAnFN8+7LjWTzILk9NR1yciVKnzE/C1Uiq1kgnuY82CCWiULD/ALlvv1m6qJ+2MmdvB5wcJQQKJl4HrglYcqSYZsoGzVTnRQR9mNtjCf7xdLg1iMfbXTogyUxthuv9zAvp+9jny37+b7bpZlWq+cz1wke+R7XGokOZAMgOAJGXjWoNbsGuIGbowZeHBZHIeQZKng6k4V0QjB2qxGLgE21w1sPb0aX8ztAG3wo7HO16cGLl2LnE68NVdQ7K/xo90wse8vXVx3VcafRwWwZ50fgbRNHRySERFkbKML+L/FKs5s13Hr+BCqJAGJDn5atmmF4c7ae751TgdSd+xY11+AGVSeFjedewlwFwX+pgLn58qREe/QHOlA7WoAh0O5GmXnlbgBX+oFzgmU4tnlqjWzjHjmPj0+0me9dAmEc4M5QeLfs52cOsJCLLe9+W3eHsQ6nQ3w7LTbvHPY1cG/oxp4/V48d/tqC8cAgH3Oub/s7jlB7o2wWAmpmxZEcGyVDB/NbI92mnan9ZWpYTrWI9tty6ke2W659L5wO4VgjEjxI6tFnFZknGUxaMxEqsaHccyroTmBL3witg9JiDbzz/fKttXXZ3bwzgGr+XwIodjeT3BDm4bRcR0zKfCtImLdcOYNqWXpltmWq2iyven9fM4mOPcL73w/mZpFZpvT07LK2LuS9P7pZ5PiKg2YLBNsX63gyeUJnFItY4+wZOnJ2TnYEhT/pECHaliVGpzqvO3bUH7LuoH3PMp7rGjj5+N0vcUa/zl+xsnei89ic/XVV+PJJ5/EnDlzEAgEsOmmm+Laa6/F1KlTrb///vvvmDRpEve7jz32GP70pz9Z/54/fz5OPPFEvPnmmwiHwzj88MOtdUt2D/8iM2QDZQ8Pj/6xR+ohy8YVZ4HiDQq8lXrGzDGBxtTg5DgZuFMD1jUoHls9t9RLvnwV1TFrYbKm8lmNfjRIAm5vimPXWh/2b/BnzBjwBhwhATi1MYB7V8Rx3dIYrhybFUl5DCgBQnAgKM4xgdcNii0FQC6R2bJ0us17NvMJ2CUkIiwQq1QMc4r3MhOKw2udmtUWtuTU5h2KMDOpaVnBzKyAgCfT3l9sF5TwfJduBcqlQKNA0Mj6fQW4Ok5xrEJwX8LEzgGKxhIwemJp4OzR5MQx/LXUeWbSoXNWJLCeT7DKDq7vF1AD4CWNWnryapIsobj68GiWHoNNmc8ov/322zjppJOwwQYbQNd1nH/++dhxxx3x/fffIxQKYdy4cViyZEnGd/75z3/ib3/7G3bZZRfrd8MwsNtuu2HkyJH44IMPrOUPO+wwyLKMq666CoNBafTAHh4eJckUQlANahkxHcicsqXeQchGIsHvTJs8P4IbJoULmlbHZpi6g+QnVwmjOjVb95/6TCduJ0zwCXigOYHPIzpmFGwPPfpDIyG4UKJ4ygD+qwMHShTbFXOQ3YcEg5nQNVNgks3sxRFhEeNcGs55uCdqUtzdlMCVo4PD2ltimgj8GDOTlQMIQYNI8KvDWfOBZHOJWHre53Vm0iXgLy2qVUrpsLCILVhNv0FgOaU4IZWsdLFMsXbWPZ3drthZZa9Nz62VoVIZMgEOWBK30tyXsvaoJp3w1xNZ/zCQR+IxrGFjqFJ6eexyX1566aWM3++77z6MGDECn3/+ObbcckuIomgFwOk89dRT2G+//ayZY8Yrr7xiBdavvfYaGhsbMXPmTFx++eU455xzcMkll0CxKw9RRLwuwGPIQUupoxkC1BOC3QjBqpzz+icJUE2KTx2mhzrlg5SLyj/Gh3qCZFew0kCp/X2xLZkKeM2SKF6Llo5ecbgyTSA4Xya4SAZeMIDbNWoFB8WApnIzu5iu3aT4r0FxtU5xTJzisDhwRiKpa5yblpHQlfr36BKYJRsOPNScwMYhCasWKcgyy+R5wILNVWQB3yVM/KqauLlVxbHVHI1CCXC4QtBKgQ19Ih6oV/CXKgl3d+p4OTY4/es9qcfPfmLSY6Mtqz8xs2bGTpSAe5Tk7HNAIOg0LYky2k0KVmWuItVk2Kyyr0zaj0ffeOPC/tPR0ZHxk0g4qyzS3t5u/be2lrne5MIC6K+++gpHH310z2cffvgh1lxzTStI7mannXaytjt79mwMBt6MsseQwxAEmGVeH7tcYGmqMktJLXBQMU0iOLHBZ9VM7g8mCPTU4OivowPwC8QqPXPOvAi+SBhWOi2TKLJhHfuvbiaLR2zjF7CuTGxLingUjvECwVUyxZ068FcNOFumaCjweV8kCHjaoPjIBKYTYBIBdhKYNjFZFoaZJzVR4NIEEF2WwO21MlrMzBRsj+KxSDXxUoeGf08onixCF8snK2CLgIhzm1SsIhNs5BexbaA0950FmOsznbVmYn2fhKkywXW1Cs5v1dAlAnuyKdoB4jODYgkFHlMANnx/zACOUoFZEsUmQnJftaw2wPr39FcQ1QIsffzZKxI99/9xCsGGpXn6PfqBJpTBxSzROsrjxjHXhF4uvvhia3a3L0zTxOmnn47NNtsMM2bwc/n+/e9/Y9q0aZaWuZulS5dmBMmM7t/Z3waDYRMo2xl/FMOEx41BmJtli2ESxj1+OxOjIpkTOcVu+/zzkrt8MYzPBtqciWu+ZrNfPAMb3rJ2/gi8/ppnMtKsmWjwCTl/C0/M1S0v/Wgxd1vZ+1UvEBw0MuTYGKh6UmZKtkFkRNoMCKaA2pRZ2nifiDtWq8Tb7ZqVUcQem6z5s4GUYJiIm8ADrQk8nCA4ot6H6RHVccCcrxmWnYFeMeDtq50RF88gys40ileNS9dX9hnBMaB4jaVBUuAUgWJGulstp212ahQrALSyBzh7W51avvuW0SnFZ6wOamqfNqTATQSWIY8FZS64AGudrGQVwydSXG8AJ7VoOEbuNZ4LNTh3YNa6+EZ1cjh3VrCG7YADUz+G32EfLdkY5amcj+2y19p/a4MTOuYlZwr6Muha2b2hJlT8o0XFfiERwbhupbrmY9pViGeUOxOl/LalJXKPayfBxPb+ZL/EGm+sxbDdr2KYbrK0Y+a2XU9Y2TRgNAFGCwRrs39nbW+KJOBNEPiqki504wHcXKngzN+7oBNgnzS3aMPmGvL6El6fYXdZH6tU8GRzArdNrsCosGxJds6Y24aXNYqXTOBxA/iLDxBtzlXXil6TtG2ZnEgC3jWB+3Rge1BIJrFeotrB88awN9VzviyvbfGfxzbbctEunD573BhGOjW8dLst7rJOt1UOlVBKVKO8YMECVFZW9nzs8628bgXTKn/33Xd47733uH+PxWJ4+OGHceGFF6LUGTaBsoeHR+Fh5XSadYra/qRHDwIsjXuvNGfu7MH4zlUyPujScfeKOASd4q8VIuq80lJFhYBgByvNkeLvJrAjodiFuf+mAtsWSvG8AXxtMi1icgg5gjnppspN+UGxBgGmAVYA/RpNBsC7CUwTDYxz8LJjY4FgKqXwA9hRBDYUkuna7FXN7ISBLmboowio8tKxC8YXcQML2T1WUwYzPQOIEzOqYtFAWKoxcKyPgJVxXkyBX5lkIUpxcVDA5LT2P1kE/hnPfOFTLwm4KijgzxFWH5qiokjH0kopfgLwdHMCBzT4sXbqZRTLAtlGImg2gWd0itWs1OlkSTonhAjBziJ7YUG9rCIPjxSVlZUZgfLKOPnkk/Hcc8/hnXfewdix3a+jM3niiScQjUYto650mIb5k08+yfhs2bJlPX8bDLxA2cPDo98wPRdzq/UNkWCSzSBvViFj07CEe+d34YpOA7v6BWyrZNbl9Cg8qxOCqwRq1eT+swnMJBQBDfjYBLYRgZOkZOCrGCTjRQ3z0PyeAl9TgNmB/JUAY1g5F0Kw2MU1O08BzowD7xrArakKN9s1JfBm1OgpHvbCuEBJOnWXGzGT4s4OHcdXSkWvrZssUOThBNbHbS1SPKlSzPITbGBdG4INTeCyqIkbQoKV7YNUeUAWTLfpZoaPRLVAsJFE8I5GsVta+atCEKcUlzDJBJvRZqXcRgWwTz17vdVLlGWUGBTriMAZqVlt9kLNDZ70ZuiRFFeVOCU6o+wU9jw+5ZRTLIOut956y7YUVHfa9Z577omGhoaMzzfZZBNceeWVWL58uWUExnj11VetQH2NNdbAYOAFyh5DDkJzXS49igObT2BBxBMr4ti3IXPAMtjk0wbYQGk/v4D/i+u4OWLADxFbpGp0ehSPGkIwiyRncz+iQJwAtylpadNZtVjZdRrNjLcIsC3ncgsu0u2qCcEZCsUzqQ1MFYCZfhHbhSQrFfaxDg0nLo1jbZ+I00d7j87+kjApLlqRwDo+AesPgEuywHQ4Hq6Muh7XgDNiFKf6gHVEgg1kgmAC+ECj2ENJ3nfsZ2ZQwFtdOvauzszlHykwV/nCn/RHKDAZwDGWOTDBmBGZ0gj2HLo9SjFFYCaU/esHPIYmZdEPlHmgfNJJJ1np1E8//TQqKip6NMVVVVVWXeVufv75Z2u2+YUXXshZBysnxQLiQw89FNddd521jgsuuMBat5OU72IwZJ/2LJUy3dDJTh+Rr+43b22ii+071c260UO70X/xcLMtHna6PC4OjZVF04AoEQhU6Lf2mndcbvbVjX6Mu30XKZ5219Bp2xRtjktwoP2pBMGsiZV4alEEh00PrlSPbLctntarY0Fnzmf+Gn4wvvDDzG3FFAXCiAqoWe6MUpDvIsu7tqGGIB6po/i/NhWzNRM71ic7+ujyZNmqQurXbXXmDu9PVx4InLZl9yCw0y7z4K1DchEHpevtWLvasVvDZ2Te+k51eaz798OA4sI4eIZIMCNtn2X2siV1H9T4BBzXrmOepuOsgOT8GnC0y4aLay1wFIdKOFdk3K0VzSbe2qvD7EayKXulJ3L3TOX4Aoh+fosxNaPPNshq3V7arGKkSKzZ5HzgaiM5n0kG34nZlWbSYV/qRuOcr2ePm7GHm/uY7dd+ErAmAW5MUBwtU2xXF8SZAQP/aNXwsQqcUCNjVUXA/qqJC1cksJOPWCWtrO9LAqhGLQ8I9m9GLGI69jXg9RkjplTg25iOL5bE8O8JYYRS1y5d+7wwYeD5loR1b50ZFDAy7VrI1OCeb54euq/zUujv2/mD8LTLUlppxpWRb7/txrsGA/R9u3U43ZaoFbYyh0cud9xxh/XfrbfeOuPze++9F0cccUTP7/fcc4+Vks2C4mxYCSmWtn3iiSdas8us/vLhhx+Oyy67DIPFkA2UPTw8ik+MUtz9awcumc63/y93WOmQTUMSLlrMksw9hjNjRIL7qyWc2q6jVTdRUya6/FLBoBRXt6iWDvS0GtnK/PEoXaaJBGcTimtUYGOTYoZPxG2NAl6PGLh4RQK7hyUcVCVjqiLgpS4de1b0vpFicYqLuM4Ws1uL3BTHS+0azmz09wTJ2TDTRpb6uZdCMoJkD4+ygbXbknK9dncfsfvPCVdddZX1Y8eECRO4s82DRQldEQ8Pj3KBacXeUE1cETWxSb0f69UOTkrMQDBeEazaus0cF3GP4UWYJGeDC1H9pnWQqwgMdJB8Q6tmBVBn18qe3r9MWJXpjQXgvlQtemaWtUNYwp0j/Xg1ouPVLh2HVcl4sF2zguXugXKQJB208+FHSnGsCdxvJisUXDkmiI05DvLdBAWCq8eH8Z5G8YWLGVUPj5JLvS6lH4/BD5Rvv/12TJw4EX6/HxtttFGG29ncuXOtGlxsiv6KK64Y1P308PDo5ROd4nGVYjuZ4MzVMkszDTWYFm7tgIhXOjRrhsOjfCi0V8GnGsUaEkFYzO/RudygOKQtMxXwZ53ijYSJJ2IGLuzQsVuLZv18xikjVE4s1U2ctUJFp0nx1zplAMy7PArJwTLwQczAv9tUdKRSWitFgisafLi7XcPtrSr2qpDwTJeOK5qT13knn4BPVIoFLtJtu0DxVdr9+jkFdiPAVSIr1+fHag707CNkARNF4PJo4e+Zu3VqOfB7lCder+NRlqnXjz76KGbNmoU777zTCpJvvvlm7LTTTlaAzNzOmMX4IYccgg033BAnnHACtt1224zC1G5woyHMV2/I1VG4qI1crHq9eesoOSlPrs5rnroVXj1SHoJfgmgCUlaB+byvq4vaxvnecW508qad7jdP/Tnv2tRNq8PiuI53f+nAGiEB+0+thtmlglfdWA5KjuqsMvRoymY4Dd+IoOPzEh6ZuSyRFMRlCYKZuT0jwdcp0azlso//wGoFtzYl8HK7hitZyaistmxwtJ2FqIee7z2Xb41wnr7XTdvMt3Z5Ph4QzPVaUETIafVc+9ovnk49e7n3Iwa2CIhcTX3X4i7ufkgcPfP7affm15qJ8ztz2093jsaFbRpWkQhuSZuJ5WmB/WG+fl+Qcu8jPZZ7vzHqsuqRM5pmNznWEKb3OWx28Q2N4r6YiQNCInb3CyCq2aM3d3ofuPGW4O6TTWCeb63XfGsb877Pa1d2uFmW/33+59m6WxkEVxKKJ7t0HNWh4wwRmCGQpMN8tYxLWlQs1k0cXSHhV53ilA4dsyokTJUJTmrX8WyDgjjvAcEC7orejIO/qcB3JnBgWMJ6fgHz2jXsWyGjJiBCtNPUR3P78zEU0AjQGjd6TACZPDVY5++zjjIjQZNmfjsJmQaCP5oULxjMiR9oIqzsFHGtO3YDT4/spmazG3jr5dWddtPehHx9W/Ks+cwda+b5cnNAYG2ulF4kltK+DNdA+cYbb8Sxxx6LI4880vqdBczPP/+8JfQ+99xz0draivXWWw9rrbUWRo8ejba2tsHcXY8ywRBEUMo3cPHIn9mdGlo0ExetyirZliYmCIwCpg1N8Ym4cmQAe/3ehRj16r6WC7pYuGulUopPEib+FMp/ne+pyYHgHi1aT+mpo/wCpksEq4jJkmvdfAliBcu7L1dxc62MqW4MEAeJDpPitpiJZSbF1dUyxhdCsFoCbWA4u9EfLbL65BTvmSxQTn4+3SfgkZE+qx72ec0qzq6Rsa5IcEOnbpWOYk/hJgcvux7TkzN+f/MBH1GKO1o1/KaZOK/OfVvfXQTupMBZKnCmzBywCTRBQKtBcWFTwjIdmyATTJQFjDApxpGk4z0Lhm9hcTcF9sja7P9SN+lVOjCeADfneul5lDhl0Q+UWrpzKe3LcAyUVVXF559/jvPOO6/nM0EQsP322+PDDz+0fmcuZ+z3WCyG3Xff3Zpt9vDwGBxeT5j43xcr0KFT7NkYQK1SBg+eAsFSrh9oTU6LVHnPjmEJu+zr+gS8HDOwdp7rmpPSULLx982VIlZlTsE2Mzbr+wQ8M0LBIStUnN6i4biwiD/ZzLC5hc36Frpm7A86xbURA9soBGcFRfgGMUj2KCxrCMCLWZO4YirwvKBWweUtKjZRBJxTIaFRBGqFZBmp3JyETL4wgOMVYKJAMD1Vaor1uUwT7ZavTeBzkzneA48YwAUC8KYJPLckjm2DInYLiZinUfyum3hXB+ZTdh9SMG961sNfLqLHwTs9Dbybtb3+38OjbOnq6kI4zPJhyiBQbmpqgmEYaGxszPic/T5nzhzr37vuuitWrFiBjo6OnKLUHh4eA8tig2KTGj9Om1RR8MF1KaNTiuuXx7Fcp3h6YhhyJLfcj8fQZ4UBfJjSC8+itCBa2xOCghUkrww2w/zoCB8+jBtYS8lvpM7K6LzYquKbmIEoBbYPS/hTlYsaWivpI66OGJgVFDCzDGa+PdwxBgDL62umFHVZ7X8NRcCVdQr+vELFC3ET68kEl1U5G2KyTOaWrPdE/QmSYybF8wZwkAhsKgCjmPkepfjYTL6Uej9m4OuE2ZsaTJMSh27RxJ4isDonJX4GAb5L7d+zBrC/SBEcRs9AjwHCm1HOi5tuuglnnHGG7d87Ozux88474/333x9a5aFYgen+BMlLqmrg8/l79ElCSrMgmUZO8XlNEGGyN59pHztdTtT13OWImKOLUojJXV+2bkI22HbZ+02SkTKSvb7BWI7dw8nlKGjqYxYwWeeFkAyzBN750yUpZ7sS7/zZrC9bdtK9XMZxmAbalQA6qY6AntThsbQrkwgZcgu2nN12s9fXvVz34j3r6zkx/VtfX8ux2p9i1vXI2W7qvBDD5K6Ppn2efd0YurUca3+Uu1x39jprB2wgMdtnYKvGIH5UfFAoG2x0z4olt6MRtn+9G0hUBHuPt7u9iAL3+hJRzTleGvRZy81LGJgd03vOiwRqzWJM9AlY1Sda6zOy0vt0IkCVJKhpOnVdELpL4uZcD5IWrPRcj9TCT7ar0KtDWFMErlFNhEU/KpiGTZIwWRZRL/ZqM9n+dV/fbg1mTr8hkJz7jYgrvx49xyFKju4367xkadjY+kiWsM1t/4e0mc/04+3dv97j6H6h4qQ/ZbOb2etjs6zdx5t5HMl+I32N2cuxo2wLVeTU0bX2TxRyjpc1gZz7Q+i9337WKOpJAn5K8YsSQiDVd3e3+1iaBjL9OLr1lT33JSgaU0pdQ6JYLFtnqqeDyT4vTDvdff7GVyQDlU659z7qRgkoyfacZWCWkAnYp2zL8xImHo7GMb0yiLqgickisQzEvowDM0MKNper0psfZBjoqjRyngvJ51ZmO02YJm6nBv5UQSxTpXmp4+h+9ma35+62kd4fdLsm2/VD6cfL+reVtT/G8opq7nK857RVb5ezPoM6a3/Z56V7u+nZAn215/Skgp52kHrOZm+393nUu1zGdtl93q1pNznnj+Yux1BJbn9gnZfUcnsaFDdQ4GBFREN27W5Dx26ShkkSwVtxikUVIgxRRFuPwCC1f3pyfZFQcrs7GhSPUREj/AL8lUpO/yz5ez/rvt/Y/hlCsnHI7HlETXwbN1BX58NmErGOdz4heFCnqK6qxsYBwcpyIGn9aYz17ey8MLExpagEMB8k57xMNiiWCyK2lwQsoxS/C7DKnIl65nJMntEki6gThIzyWLzz3Nd1S9fvd7eX9NI73cuZNP9xHTv07P1j92z2fWQa1PFxKKnrln5/GDI7Ds79YbD9g6P7I71cUfb+9azPpj9Y7g9kfO4x9Dj//PNRV1eHww47LOdvkUjECpKbm5tdr3fQAuX6+nqrsPSyZcsyPme/jxw5Mu/1j2pvRThNk2BnAsAzFOGZINkVcHda8oxn3GG77AC+ieeaibkwNCmGQVi+Rif+QAVCpoawluj/fuVpQmTYGGnla2jmdPuFMPNK58m4ibhm4ugNJ6US1HpZ/O5C7ndEjkupG2MecykbCFAc29633vxaP8FaVZmisS7ZBzXkx4hYl6Nzxbvn9ISBFQbFhysSuKBGxhWtGs6pltHJZlQMiucjBpYqBJNkEXMSBvYNS1YKYvdMiBnnn3+e8ZdgM6vo5l50bJTCM0wqgEGXU3Mmu3bp1LjMqake06kvYrrKiDNvi77O9S+6iRc6DWynEBwekhDgmAj1uG9lkejIvF9eiuhY1q5bOs9d/aTHoMupWaGdUV7NqBrusvHWXsOiD5oi2JoQHOzv/f62Czqs/65V78Na6+Yaf7UsiuceU3vmMbFZO6ajXlMg2DMoAvF+mvi4aIdOl2UD57FtzXmZeTkdJ7i5X7U83cztxh68Zydv/JJt2tXNyk7rnqwUE6W4lQJ/k4IYnyXBmZCI4+ImHTNEgpG6YLXviib+xip10uMC/zMLrH0E2+m5N5Ks8u8NtSszu2eKbuKxZg0NadchYVCrFNt0rRWrB0RETYo5KVO5aIdm6ainCUmdst152YZSPG0CDzO9stL74qKbpTRp9vWOAdQSYDkFpgjAWgKwt8RqSrvrx52adLkpuWt3vfOFZ17G23+7Y3JjfubUQI93b8cq+f1jKUGJYP2UCqW0L0548MEHceihh6K6uhp77sl6qt4gmUl3WYby22+/jbIJlBVFsYy6Xn/9dey9997WZ6ZpWr8zt2sPj/7CZiaz3yp69J/ZOsWTzMTIP/CdJgs6n6uWuIPTFSbFMTGKc+IUzFb1X3UyxqYCTmsWogCWoI926laa3sUtmpWmOtMnQBIFxE2Khzt0fBSj1lzdPJ3i8lYVyw1YDsUX1coYkffWPfKFzUgVgnYzqStmbr75wFKnb27XLa3n5WlB8kAxJ6rjDw2BjADXR4DnplTktS93durwE4LDAqU3sMrOKPDIn+0JgR8UFy6N4d/jQjmBIEu7fjNB8UJCx7lhEeNXsr5u3e/fEhTjVBOruZQXxCnFvzt1/KRTjE7blSZKMZu5uRsGHu3SLY+Bi1tUa/YzLBB8kTIRO19mgbL9+kcTgtsVipNUYDmTCKb9TaMUF6vA1iJwgwIrSGf7M9cE/qkljc9WHz52HiWLZBTpTUEBoVSwfkqFUtoXJ+y7776W6fOBBx5oGUNvvfXWPTPJbBKWBcmjRo2CWwY19ZqVhjr88MOx/vrrWyWgWHkodlDdLtgeHh6Dz28GxZYywV6cMjuDSYNA8HSIYJ5JcUqM4thmDadUSNiVzWjlwVLNxJlL41iWmoUZLwKjReAXDVikU3wV1fBq1EBX6l3M0VUyKkiytMjlqbq3RyxXMUkklvHS2nlqSj0Gn3VkgjVlgp90E2Ol/rWvbxImLm3RsJpMcJXcPw1mPrDUzTkRHatPlICUlOHLqIFaKb+A/Zmoge81iutrZAh5Zsd4lA+bE4JPZQEvdWrYPS1dmrGnX8SefuDRmIFvNGoF1UmLVmAPyxgvs72xe+FkBfinSvFWzHAdKN/OXlomTBwelrBFpDcg+hnAxgQ4kAAvyQIOWprAlgEBB1RIuLlNw2oE+LMMjHTQ/kcRgic5WSM/UIDlK3xgAisocLoI66XR2iIwxaDWZ6tz1vcL01PrQBsFNheBjUV4umcPjzw55phj0NLSgr322gtPP/00LrroIixevNgKkln1pP4wqIHy/vvvb02FswNZunQpZs6ciZdeeinH4MvDw2Pw6FYBsYF2a8JATYEcdwvFBIHgxUYF17druLVTt/RxE1bSs7FSIccti1szhYzdKiTsXyXj3KVxLE5LUxwnAvPZhFRqUuq4FWqPImpDH0GlKCCcOkE+QnBFnZI0/2rT0KZT/Dti4BYvUC57WKrlESERf+vQsblPgFu126+aibObVUyUCP5er0Dr4NcxLiatOkWLTqFYcmiKZ9o13LY8jgtH9U+792XCxPltGuoF4MZaBQGBWDpGj+HD0bU+/HVJDNuHZfg5abEjBYJH4gY+JcDS1GfTWVoyZ107ygQNAvCsjczNjk6T4p24iYuqZaznE9AZ7c0g6GSy1tT9e2qVhKMrJey7NIHXYipOqZKwFfS8X1itSYC7laTa4EoN+MSgCLGMJwp8agATslbfTim+N4FrVeAoGWggwLsGcI8GrC1SbCkCM1MGfh7DCwrR+ikVSmlf3HD22WdbwfJ2222HiRMn4q233sLYsWPRXwbdzIulWRcj1VpVKVQxvcN1rjF2o+XgfZ+/ThfF2vWBSxXj7avoQiOdt0bZ5vu8M2DqzlJpdVODRg1omt5vrVu+x2Wnn3Oqq7PT8rrRrzvVKNuts/v7YZPiS43iVtPAKy/Nxye7joecdn54WmS7Y3CqT/2Bzeq2ZV4/Noi6SkKO2yojukLF0ZTidZap0qrhqihBnQ+gXbGeZf5HKR63Of3Pd+rWD+OSSgkb+gSc067h21S9W8bFNTLWUgj2WaZi55CIM9kGUghy7zlgarrzAzJ2/DWpj/7MBB7o0DBCJPhThYTVQ1KOxk1tVx1fG1c6Tt414OmGbZqKm+x13rK8/sV+nQ41pw5vAWYIE5d0RNp1R+vgaeXS+8LVrJcywH87dBzlz71evppeM6/sa3tjLHnQf1dgBcm86+qm3xV9zh/d3fecaJiolgj2/qYFqd2xSPhE+FIzgrGUXnllNMd0vBhLugffHBZRrZvMx8mxltdtO+Z+36nG2KR5+0A41SPbeVPwrq3MydCx20/e+MH+nnW2rN3pd3ofM2qXxTCNyVDmdeEPqfMRSJMnbKYQXBdJGl6yu4MFk/+VgAMUgvWZyVzW+RrDDOdUCq1Lc9SG9KhurfcgmeC1Tg1raULPcbWm+vtzUy+G2mKGlR11fFDAf2OmNdNsGiTLZszdeUlCLBMw9vMngeJeHViStuzLJjCOEGzTGLAkOxcsjmEsm90OCDh0dNB6FuzCdJQGxTudKl5t13B7RMfGEsXWErFkGiyYd6Mzd9PvOu5PzeJon1XVjf6ec3Ec3hu6Uvov8bzU6/z44x//mPG7LMuWH9Zpp52W8fmTTz5ZXoGyh0ehSXd49MifzZirs0LwaCpoZDOmcj/OccSk8FGKZSYwqg/TmyaD9gTJMySCGoHNGgBf6RTHqsC/FYoaTrDMBhM3geIMClwKggOZWynTKrPBGQW+YbPAAjNeSXZ8V8jALxS4UAP2DwpYXxEwTeo14zqhSsZJK1Q8P8qHXzWKMRLBm6nZilm1mamG2bBU1lVkgjaD4uZWFcdXy0hQ4KZWDew0srCanU32PGeen0zDd5hCrDqiHoUj6YpaOE72C7gwakJq13BoZe4Lj5UxmGXVKkQBoxQBf6zz45bFUXQaFFdNrsBWNTYuZDYwXfP5XQY2kAkeqxKtNNNSJttB16Ow7C8C5+vA9gJFRXb1BkLw56CADQTgfwkTL2jAXAP4QKdWoJxNHXvpyfrvqIEmkwW7wOVBAT6d4rmYgdVlgi19SYOwbpaYFPdpFH9lYvs0XqHApgAmshRxQnBJu269gD8uKOIPfgGXdBq4kFLH7XcJpfi7AUtyw16BjiQAs53dj0lzCEEnpbg59YZ/pkQQYzplA9bz7sqoiXUNintbVUz3ifhLgy+nPwiJBLtU+6yf339rx3sGcK9KrXOwhUSxuXUsg9uHlDPUjfOZR1lSVVWV8TvTKhcCL1D2GHIYrFxBgUx8PJIP5s1Fip9EYK3G3rI4bvhJM3FqS+8swWYywflpMw9vxw1c25l5zZ6ryQxE5ugmzuwwcLQKXCBTrJsKKpkztlWBihAsSC3L/v0UEdCe9hL5TJLcbjpvpd5GMyfjbCbLAmZVS9as2aqp9OnuI3AyWBktEcso6bxaBSNTJmM7BkUs0Zgfc1Knx1bD/vJBq4pL4hTrixQHy+zlgDcYKgSsNEghqRYIrgwKuDhuWG3hKIfB8qk+Yg38B4oW1cDdv3bg7NUznV7vmFJpBRmjgxIqJYJVAu6HAG916qgSCI4MlEdaniZ6w5xi0kgIthYobjCAs0SaI0vYzS9a2WBH+QW8zion+AnWtHMXJwR/DRLr3mIpyS9pFDfFTLTFTGs9D0UNPBw1MEIgODYsopZSPKIl+/D1spojC2Q/YC9IKcUiUcSWioCvdBMTRYKtFIKXEjq+A7C+w+M8JTVzynTN1eyZRoFfWQk6A7hYTL4kuFGiuJsCowTgndRM6RNVIu6JmThoQRTTmZlYIz/zJJ1a5h4vAHvKBItYarkOXK8nX/puIVBsISbPu4dzWJmycpjkYfagpUK5TTrde++9RVmv9wTx8PDok2aT4qZEssu8flr/SiywwG//kIitRII5BsUtEQO7pQJnNjP1aWqwM1Mm1iB8VoUIkhVYrC4JOEw08IABXGF9lVozxJ90L5fmdH4MAVYlLE07qY1j7xmzZzusdQrJAZkdO2aV4alwEcCeXq0gyGpUptesJASjOKWgdpIJtpCAJzWK0+MU5/mYU2p5PaSGC5UCwXUNCv7alMCd7dTKPFhZsMwyBSYO4PjnreUxPLogghMmV2U85Ltn4mZWOC9FlT2b/EBzAicNggO+R+lysAA8ZAIX6sDlJkU9r4xPKoNme7lv87g10woQ78hSuQHsUyFZLtUbKATzDIq34yZeipv4OE6xoQg8HiQ5zttrAfgawNUUOCpVwolppu+OGjg5JFozw305XWezl5B8pqipNOswgHcp8JIJfM0qIhBgPCE4xi/g2qgBlnHOuDVqYplJcdvoACb1w69ijEBwoALsS6iVAfWOCZyvsnRuipNEvhTJCcyZOzWv3a/vexQekzLpQOn0raW0L4PJkA2UmUbBTLv/beVQRn4aHe7EpcN12uHGVNWNzIs3xufrqfk7y9PwuakP7bQOsv33nS2n+0yoCQOJRKZ4Jt/MG7tjdaP55OnSeNjV48y3NrLEqb/a1zqjlOKMOMUfmOu1BNSYFEZWDVk7fa2YZvpVy1KLfYJ1XBPZW3G/gN8Nis9UE49Gk9s/WSGWoYtFzADh7Csz3NrfqmtLcWqHbgXJezBzJdPEzyZwksIMYQi6fAISQRHVkKy3/91ka0N3s/nc2n9OQLtDBbFKn7Aay+koaRrlbiptrqGv0sf9rALAiSw9PKLjysVRXDQigNWy6oS6rds9kPU4nfo1uIGrNXOYLML6fyu9nTrrt7nrtal1qyQSuAAUV0YM3Bw1cCwb/NvohsNj2JC67/qvfaFm6TXtiC6P9vz7yh+StaM/+L2Dm1ptp4WVwlKfy77eqaFBIpYkgoebGt28NsvT8trtq9OaxSz73vmy+dUIt4N3rPlWr8vXV0CxeVeiuvCZ690WwcHWi0mKv7TruCgsWq7/6TWjWepyPdMFq9SSmzDiCc46I70HUJ1yyTZ1HUw935j6WUYpPtIojhaBdVmgqLEAlmbsUxUImPvNJ6AIU2BpguJ8CtxFgKfbdKzHylER4FpCUZnxMpN/rAfSVIeSBnuW7UQogmavVLY6amCcmXTaHkGAV3SKORT4bFkM7P1SKG1bDVkZH93UT2dJ6Jmw/oXZEW2VemH12OIo/vpbB87yAdOy2jfz6MkmWCH2BMhHdxiIUVh14Y8l+Y2B88WNnnog98vDY8gHyh4eHvnDhthsnLqdVNhyNiGBYDr7kQWMFQ2M1ExMdTGDuooIHBwQsKNPsGYvDM6AqxiwmUM2411M1gtJuHRMEJcsiuIIv4DJIkG1AFSyNG0v3c4VxbRvCRBiSQBOVYFdTGplLZQKl08I48J5XfiiS3OtQe6LR1pVnMH0ldGBd+3uP96M2UCxs0Aw2k9wUZeBM4MCZqa9+GDeEI0FuhR7EII9CMB5l5kBC8hZeBgmBK0puUsVKN4ErDr3W6eqOuTDiKw+mW3r7LT3plMIsDOleNoEHtLZ7xQbibB02w393CabkT9wTAh1iztxbYLiBAXY2OblFYOZmbHMsDqBWM90KWWOac38p2ViDWXK4Sg91+vSxAuUPYYcZJh0/AMBeyCzkhVfGMDWReottvOL0F1mG7CA9aA+NJKsDZAybgZrBiVcNTaIuxdH8bRJ0WYCzL/73JCIdbw36I4RitwXMCOgLUSK90xgOkoHZrg3NSDii648LWnTmK8aUCnFdL+IeBkFygIdQHG4BzaWBdSEiJVtcWQA2EImVkmkeWZSNzyQsLwN9pSoNE2wHAsKil1o0jSMpWaPGyB5yyqE4CwJSFCKb03gYxN4RAfG/tSOrasV7F/v75dJ19oiwX4y8KVBcwJlFhyzu5T9MK32XR0G7qwQ8UTCRIAAC01gN1YrjrlMDgPKYVzouV6XJl6g7DHkEE3TGxwVkPECwfdGslRFOT0UxTI3dJsakHBpmuEZMzO7qtPAvWHBcz51iDQApfY2F4BrNGAX1cB4pTQMY5jkf9WAhPc7VDRrJupclJ6y472Ijk05pc1KHcko736gHJkqEVwTFnFcp4Eb0j7fWQB+NSnGkGTd+WLDXhOxZKPbjaT5Hguca0CwEwYHdszri7B+WPr0klFBnPpLp1UzeZ/6lZt88WDp3Wymeik1sZlIsImUzAS72AC+p0AwbdmrIwb8hKV/A5NZNQsMH7x+wKO/DNlAmelp07W+bnR1bt7BO9VMuNFR5Ks7dvN9V3psbq9K89JJFUOLYunTUz/9hfddSeIfK09XJ7io28nT4NnVNmZaL6dInMC2PxrnzwxqmWIxvbIyJV3xm6RqRa820k4z2Y2dVjBdz9yNm9qncjhTcCdLMkyfBIlIK9Udu0Xi7CvvuOyuIU/vaFdDt2oCs41JshEzE/uhDb+bFJNEZ/p5kVOChYedxpnXhri1LG3g7ZedV4FTvwOe/o5RjJjYSY3Q0RRoAXDkgiheWyWcE0jy2rZVX8ZhewmNDOXuF2dGN/377LrNiemWbpK9OGQ1jp3cBxpnvd166h8iOtZSBOt3O30ur23b6X55bd7N9wcS3vG62S9+286vnjnPM8Ru2bz9OWwOlbcPaix5I9YDuFZOzpxu5iNYYFC8qgE/A1hkMikJxTgRmCoQ7Cv3Gs1Zx0Ap2llQm/rMrs/g1eBNH/dVg+B+5npNWJpxpj7YbQ1gp1pa5+eaYOLSCHaTgE+WRrFtG6sybe8l4ufUaWf+Byx9fFOT4tOojrc6Ndwf0bG/RHBegOC/KsWHBrCVCCw2gV9YyS3mFyIBW7P6zDbjCTdjWK6PhJ5fG3SzLaf3Rjm832OO16Xlel06+zKYeGfBw8OjTy7zE9QQ4NQYxdfL+EGxx8CwUYWML7tdYzxKAhYY70OAXStW7n49UGxT40PcpFat5LuWxqxU7Hw5JCTi0YiO3/I0FPQYPqwqEFyoJMvkPa0B60sE14UEPFIh4KqQgN0kgh9NiusSFD8ZFEtNaqVp/43pbqPsx8Q/Eya+dvHSNBuFEMtPIDtILhVYCajPDOD9PPp1RSDYLCxjg5CEdYISHlcpqgjBCT4Bl/uJpZvelmW+KMC9CrCtSDy/ixLEhFByPx5eoOzh4bESgqkH7okKwZmvLUBbvHC6Rw93bFQp4wsvUHbBwLxU2JnpAKM6lpZIEMkGzrdOrUKFSPBWu2YFy/kySRZwRFjC7Z3e/e/hHlaGj2XDHNGVrCPPaiGvx2Y+fcRKH/6XSnFpnOKkKLVSg/8TJDjfT6zlbteAT/IIlll12lJllECslHBmysUkTk5hGuRsXmzXUCUSzGL51WnSqf0Ugg1FYpWSKpWXeQNNKbcBj9JmyKZeewxfqPUgGJ4Pg2LCBjV7rFqNq95bguu2H4eSJreSx5AgKBJLa+fhDMpqAw3Qy6S9K2U83KZiVkP/tIaFZoQi4ryJYdy+IILX21ScMDLQZ/1aJyzQKcaWWX1vc5gGBqXE1rKArWWg1aQ4KWLitIhplRibBKCVJitq7i4n9bvsXupmPKtNLACrE4prmdhYoWB3V5AAU9yUphygfsAtLNi9Q01qthfRZOmmlY1dtv2RFcpKcmKDD/tWKz3B7xZhGa92qNilNA93UCnVNpCOZ+ZVmpR+y/HwcIkhCN7gqEicuF4Dfm1L4KVfmIKsdGFzFoZQGsZKhWSZalozLB7O0N0Upc+TP1QpeD+iY1mJzCozNq5S0K5T1EgCvo7kPxP8RNTAcpcO9YONLg69fqBcqREIHgwLOC0gWKWivjcpEqDWrOp7OsXRUYrL4iZe1ih+MJIljZjp1WoCwf4y8IYO/J8OXJiAlabN42tK8YxJ0ZE246qJAuZTmiFBYEHqK6BoHsRXqq/owFwTWCM1Ev9AB66Jm/gxrQ9h+/l23MAbHRouWZwpfXq6TcV+v3bhqiUxLNdM7F0tY9cqBefHmR68vO7TYlMO/UB3eahS+vEYwjPKlpkT6Z85AG8camtEMIDtyKk5ld04Ol+TsWIsW4xi8aw/tMzcDGfnL999cGNAoycMx0ZO+ZuvcQxoOJ/5KhXu99Wu3LnLL/4+B/sKFNc2LUTl0wutupQbn7w69/vz7p6T89mI8fyarjwzLINzruzOa7ZJmUlMy4An2xDMsPH55Jkb2RkW8c5LKCjnrtMnOT9Wh8HVJ20qxrgwOnNqFMczKLPDze3CO4eiixlJ3vWWHLqZs/5fFDLNffqCZwbmpm+QIyo2kglebo5j/2DvRv2cOsb+ar/j9sbdVlhxdK3ZUlPDEpYmDLzVpWOjhkDy+5z2yki05xYkV9K2tVWXgc1DEhDPP69BcGisZ3de3Jwvp9itk3d/8vptezMu6tAoj/993YXcQvYJjvbfzsiqGO+WErHM7Y9N/fQ4LFFgJ4EgTii+osDnWrLW8QoKy9SL1ShnNYfrCbAm+xzArxpQm3YKXzMpHqOwykAx/kOZiRXFUQrwGgHeNZN91/o6tVyhX2K3AJutFoBR3btBKT7SgYUAWgjQzP7LtNYADteJo3PoxmTt9tQ925DaRsAARrI66O265Ro+SiTWi4K34yY+6kzKJ9hu/7dBQUggaF+hoolSvNmp4dxODZcSYCNCsGaDgllNKratVRBI9aF6c+697QY3hri8c+Dm+26MWHm3LG9bZV4Ew2MQGbKBsoeHR3GYaBLUUYqvRWAd7+EzYLzXqeHrqI4b+DGOxyDTYVJ8nDBxQ01pXaCzJ4bx5LI4tAIYeq3uFzEnYWDjguyZh0duXfKNCbBxWvDEAsUWMxkcN1HgewC1qZdA6bxPk6WgumHxPjP9X2ICC1LPqU4CvJl2e54nAFNSwToLOO8ygS4CzGAvegH8wtLGAfyxSJOz96dePIpZ6da1foKLIwZmBUW0mBSbyAQb+kXc0qnjwmrJCpK7qScE+4JaKex3UeAUUIyWBKzrE3BDm4aRIsFRld5QvxyglFjp16W0Px5eoOzh4dEPtlOBN2QvUB4oWFrdjUuiuHpcCAFO2S0PPgOZfNhdtaqmdMY5FuP8Ek6bEOb+jc2gPboogr1GBRFg0+8rYZ2AiOuWazgizSyo9CmnffXIhunqWXnCOvYLATa3OUXnCMBrFJisEKwqJgPp/6gU/9SSviVHJYA1zGSwrFAgDILKiuR33zEpHqTAngQYawIPE/Z34EoKjE+1n2IIKmSbtrm9T0AHBe6IGVZaeoK9IDB0XFAlYQNeeUJ2fKC4nALPsNlvVq6uUsarUQMPd+oYIRGsQ1mZx2F8L5TBoXvloUoT7zWTx5DDczcsPmsbwGM+YKGLmroDDSnADFopwGZUrloUxQF1PkwNSOi1cvFYGcIAtoF6kWBNRcDrcRO7BcpD27UwZuCGnzvwfnMCt6zF5un6ZrIioEln2lGgrky08gItHc24R3Fno3cngD+V0s70yJ2pms0bwcR9PmBvDdgqK4WazSQ/QIETBeBNE3iVAAdSYF1rLDF4bfyPfsH66UZQhD4dqyVCcAYoLqDAuKhhzSgfGBZRJwI3temYSIDLZGqVihqO8GRnHh7DOlBmuod07YMbfaobzQRPi5FfEXp3Wg43682nWPtA40a3m63Nk9ng2DCda7q5Az6OttNmYMjTtdlpaeVA7sk1ddOxVo53bez2i6eFdaqfs77PWW8w2PNX7AiKdwLAAVOqud/vflufTryVr5Pi6aSzdW3WOhv5jsLZGjyJabsIdXwOeOfbTjfM0/jyzlW8Lc79ftWESke6Z0bngk48Gjch6hQ7xym6FuuOt++2bTr9vht423KzzmzteV/tXVFy3Y5l03DcR/K6PTf2V8GGIA4K67hyURT7jAv01CmVArKj47K7D3l9Bq9d27UhXnuJtybbZrVJERCABREN3yyOYApn2fTvs3+xFzZ/aYpbhkwzOTrbQrc33rmyOwe8bcnUdNwO7bT/vDbH6x/ceKG4gac7tttXri8BZ/8Fm5ec+Y4p3JD3WIkj/eno7D2uI0GwMyieUw2wPJxm5l+StmxXBPhcAOIycJsB7KEDxxhsmdzqAk73tRBeKDwvE1lgUwCZ1ywYyLyuQRCcb1D8s0PD3SYQAazZeNYDLabAYSpwmkyxjYP7dqDaQN4+NQ6vi0xLXydmUsH6KRVKaV8GkxIIiTw8PMoRpt06E0BbVEO1jTmQR378oFO8kDBxc4XYE3h5lC7TAhJqJYIPunRsXlH69wQbfE/0iwgKBB90aJhSxzfbS+fAOh8mRVRcGDVxR1jAyDKZWfYYnowCwV6UYB8NqOTMEM80gUYVmEDtU6EHE1Yy6hYVqDEN/Dm08kyVKSLBNanbmPkSMF33HBN4UAN2kIAtyiPZZZhSak7TpbQvg4f3usDDw6NfhECwIYCHP1rqncEi0GmYuD5q4NSgYJVV8SgPNgrL+D6afymmgQzu62QB73Wojr/DZtsmCrBK/Hh4lAO8ILn7OTaFkryD5M8FiqP8FLdJFB0FdEeYzYzMKPC+amK5w2oH3ciEWBpnNoN8T4DgQJlYKdoeHh7O8QJlDw+PfrMXBf77yTL8tMwzmCokzGTphkVRbCYTrOdChuAx+H4FCxImJrgotzXYjFAEsCxiVqPbKWy8XiUkTYTyJelq7OkHPYpJcduXCYqxNOnd8ZkAnKoAD4gUd4vJoHlZavvLQdEOirku9idGgdECsLNPwP/FPb19vykDzxLmeF1qPx7DKPXaTgfhVGPipjaem+V4tRSztXZ94aYma756IDfY6Qid4rT+KyNbf0ZkAZIpQCaCI00X7xzytmS3fR5udJhu6jC70Xzmqw/lLRsMZP0OgrO2GI2zH/kRjxy0GuQ059xV/7JBzve1n1u521r08u85nwUqcm+6hM2sV3ZNVpP9T8695pqNjlMKOu8KeeeVV/PZ/vvCSr//YruKRXEDpygk5zq40Xw6XdZOy8373GkN50KQTxtmRjxEErh9rGsrawewWtTMQIiVT9p3ZKCnNrXkzw2aY8wNy4FXgR1al1qQZdkLmSeXx7F5SMS6fgF6THNUD3xVQvGjntzn9GDZab3h7ns2QSmObdPRTIHna/mp6k59Bmy9BqjzNmPXxzvVytvtq9PXJsW4txm845fdnFdb7TYca+2djkl4umP7+tTOPjMgOF7WziOG3Ss5nwH4WgIeCAITdSBgJms9TzeAGgrMFYG/yLDqNldRioWp8+VjZZx0ipk2s9jRWG8A/gZLp2YvpatFHN+i4YCwiKrUtbcdE7nQ3/OuF38MzN9XldNH8sbLqk03lO942/EY1oGr/2DjuV6XJsMmUPYYPhiCADMrSPYoHrutXoM3f2nH7R8uxembjy6JU82MnFg7KDduXR5HjNXjjej4+7gg5Ba+IZiHM3Rx4B5xbGb0ynldGO8TsWqZuF4z2DA3YgIjs1429UU4VaN2KQVG5fEe4guNQkqV/nkjYWIbttICo4vlcy08ioMuFacNvKMAjwSAkAmspwFhCuwiAqNNFhwTbKtTS6bA7rEfFGAZBV4XkgPvqIOm/jW7RwDsygJtgWArn4BnYwYOCXlDd7d4/YBHf/HuNg8Pj7xgM0oXbjcO+zw4B1utUol1RvNrtnqsnKfaVCub4bqxQYxVRMu11KP0YbNN1y+IoF2nuGaVCqv2a7ncu5sGRbQYFPNsMpF4/GYmy5LW5nmYFQRoFAhOCYk4t0PHhLCIVVzMdHp4DBYs+J0rAVsmgB0TQB3t1QV3w4Llbnu8TU1gPqGYz9o8BTY0yUrFj6unXkqNTf2+Y0DAjR0sUC7SQXkMKqWW7lxK+zKYeGfBw8Mjb6oDEg6YWY9nZrd4ZzMPWLWPF6ZUYF0XqeAeg8+nFPgxquOqVSqglJnx2iZBEa0GxSLNRIfDtPqxQlI72d8BBEu5vqJTxzNxE9UCMFok2FwR8I1W+jpCj+EBK8XEUp+/kihiWZpi9krp5hCwQAC2U3uD5JXxqQCsALCxw3dS7wNYK82IbKxIsNSk3DRwj/LHhFhyP264+uqrscEGG6CiogIjRozA3nvvjblz5+Ys9+GHH2LbbbdFKBRCZWUlttxyS8RiKb0BgJaWFhx88MHW36qrq3H00Uejq6sLg4UXKHt4eBSEBW0qRnHqIXs4T91l8rxyC7RKmYEaTn5gAn9s8MNfhtdu7YBozSZXCgRfxJxp7X2EWMHyL/30FopS4EONYoRIMCtV8maaRDCnKPr38rsmHoPLbwLFiZXAnyuBO4PABWHg27R3l1/ITPcMXNYFjHBxDywhwFYmMJE6a5PfA1gn674LE+A9leLNuOEFzB4lxdtvv42TTjoJH330EV599VVomoYdd9wRkUgkI0jeeeedrc8/+eQTfPrppzj55JMhpEnlWJA8e/Zsax3PPfcc3nnnHRx33HGDdFRDOPWanXMnEsV8Da6cLmtvRkEdm0nwtiW5Mg5DXvDMS+yMO9wYsBQawmY6BI7JV5GMUvJd1o1hkivjL4frtTVq4RiF+DmffXX9V9Z/NwHFFQRY5d0lqAfBzFlr5yzr23Qid1tjOccw/9lfcj5LxPiN25dlMkYF0zIxSnRmOojEE9yvo5pZ+GbRtYK/cM343NRyjWOCxDMAsiPRnkCnSREiyX+7vd4Deb/luy1b47B8zedy2jEBk6fy2rHTe1axhsN9H4NKKb7uoji/1sc9tvTr2ZdxF285u3bkxjyO10cH6/w9/2Zh6jk1Ch7u1LFCFOCrzKylrHO2xdY5TQC+1ylWIyt7dpm5Wm4VqJcF/HnNWoRT2uiNEwbu/qrZVX/qBAE073W6MXJ0SqGPs5gGfFTgf593f4o8c0xbMzDqyPRJsJnYMh1eFkV0fvzfV1Hcklqc2VHuR5i+Fbg2APxJA1Y3gJ9ZoEyA5SIwkqVQp9HZyd9WUwXwqwQcGQfUlYwfu8dwjUJS16yzn1TJudUJ8FSXDvbbtxLBiQEhR+rhpm3xrhfvdNu1IafjSjfjTzszWKfmcbzvu7BgGDQoJSWV7sz2xw0vvfRSxu/33XefNbP8+eefW7PGjDPOOAOnnnoqzj333J7lpk6d2vPvH374wVoPC6DXX39967Nbb70Vu+66K66//nqMHj3wPjilc0U8PAqEaBogXmrSgDMKBPtS4CoCNA1CWZ502PWXjPIqpRGhQLBMtK3lgmw4Dyj7y1c6MFkAqsphJGbDhgERN4/w4ZDGrDdOfRBk5W5c3uYsSL5OBeaawO3Tq3uCZEajT7QquKwo8KyybBa/DXiUNhLPSpvDEkLxHwpsDuBkApwpEIwjBJMIwdY68C8fcH4AeFsGlgvATy4yU9+Qk27Ybuo1j6HAwqzFz/ILuC4g4Go/wTIT+K9XMsoRkqGXjet1Kf0wOjo6Mn4SCZsZhyza29ut/9bW1lr/Xb58OT7++GMreN50003R2NiIrbbaCu+9917GjDNLt+4Okhnbb7+9NePMvjsYlO+T3cPDo+TYBgR7UOByAjz7QwsMrz6qY7pMaqXVeZQX7+sUmxbBrbmUaaIUL+jAXg5niZimcpFJsV8c+NgEdhWB8YHeL/8e1XHe3HarNvPPA1h+zMOjm2WE4sIAwFw2WMvcPOul5f+lVEWnJYBKCmylA5vzqw1y2U1lKd3AAz7mhO2sjf9CgFE2i7I07N18BAvK632wRxkybtw4VFVV9fwwLfLKME0Tp59+OjbbbDPMmDHD+uzXX3+1/nvJJZfg2GOPtWaO1113XWy33Xb46aefrL8tXbrUCqTTkSTJCrbZ3waDIZt67eHhMXjB8lhK8fT3LfjXp8tw0sajsMOqVRC82dKV6jaD3qvLsuMLneJw3/C6cPeowO5S0rG6L8OuryjwtQp8aQIrUgP+gyRgj6yRxy8xHW+1JBBIaZU9PAbStCvKUq5Ts8ObAPgjpwleGgM6CLCqCdwYSy7gZo5yBCU4J0bxkA+4JsACZ4qNrDRnfntPgOIDAlzeRyCsuCv17lHilKrr9YIFCyxjrW58vkx5Dg+mVf7uu+8yZotZ8Mw4/vjjceSRR1r/XmeddfD666/jnnvucRSADwZDNlAWZQFiWoFxe42OM31DvtolN3pFSaJ5a4Sdfj9fDaKUp3bLToOYr36Lfb9YGjAn58vNOXSjO84XN1o7dg9lw9MrNk7MTddsBLB+Wwzf6hT/fvl33PYScIhPwB93nWiVpMnGtwMrhJHJBH9u9/TZ7T9w97UySwepGiZa44DembmcnSYs1KU51lTF2Yqz0GK5QyZ/Df9hYiR07n3QZVCEsu6JfPXIed9HeeqR8+2zXG1fzvou0yiz54BP7Lf2mffdbI0xM2oOEkBLaQizibfF89Idx1iRYwdt087boqI+12CvbUnvPpkpmQp7kcW7NulafY1SvGwC80zgFMF+m4zbDaADwNZVMg7yC6gRCH7RTMxIndP0Z/Ikn4hRioC/+Amq8/CW4CGIhNvv5avbHUwfjoF+nuTnFWCvceZ1x6Kcu6xhM37itT+u7wyh3L7/ZSFZ5/hpuVdJz3rtEZxn1BhKrFTodDQXLu2GQa0B92FR4BsJeNMHPCoAm6sUm6vJWep0PpCByTLgiwIRUAQ5qghFBFpMCk01MnTKvH7L7tnPvV4urjdvDMjVrjteo7t7k/eM4d2bbsb1g0V/nKaLSfe+VFZWZgTKK4OZc3WbcI0d213cDBg1apT13zXWWCNj+WnTpmH+/PnWv0eOHGmlaKej67rlhM3+NhiUzqsLD48CQb2Zy5JhTYngmqCAI/wCHkmYOPSNRfhgaXQA3DoJaBk8GNOJUIpQme1zqWMOQF/Asq5LX/1mzwMUOIDNkvUxOGWzw88bFKfowHcUOEvKrBebTTul+JYC54rAnmEJoyUBAYH0BMnZBAWCFt3E1CIEnwPRBjxKG5PkDnXfFihekIEnlaQxFyvxxDTE2xa5ubDVr60Dp0eAUyJAJ5s1DgP3BoD0V2rvKMBWK5GCThGStcyvSXjTyivD6weKD6XUCpKfeuopvPHGG5g0aVLG3ydOnGiZcWWXjPrxxx8xYcIE69+bbLIJ2traLAOwbti62Gz0RhuxHIyBZ8jOKHsMXwxBgJnlROkxeLAZ5HUlYJ2QgF+n1eDmb5tx/48i/rZxIyrZK/EiPRRZOygn2MQhc732KByanV1ugR+i5Vz+93AC1KcC5ucjOnYL9Q4LIibFkwbFCyYwnQDnSsBEB4HnOyawEQH8DoPUa37vxOGjgyBRF6JPh2jM+txjWKNntQFmNvmECJwfB873s5frwJoGcLBGEM7KTCkmo0xg/ziwVxx4yg/cFQT2iQMdrE45AaauxINMIQTn+4BDohRRSj0zyBQxSvHfBMUmEumRcmS3gVKkVFOvncLSrR9++GE8/fTTVi3lbk0x0zUHAgFrLHjWWWfh4osvxtprr42ZM2fi/vvvx5w5c/DEE0/0zC6z8lFMw3znnXdaJaZY8H3AAQcMiuM1wwuUPTw8BgTWSW49OoQtRwVx63ctOOHdJbhji1GoKlKwXG78rFOM9/SZZQebUS58eDew9+XuBPjdpLi1XcfWAdHKbHisU8f/IjrWZ+Z8EjDKxczsYpZO7eKlT4tGsRWTKhQhUPbw4Dm2sxiUzSIfpwLPysB+g9j0WLE2FjD/zw88GAAiArBH3FkFcJZyPUZgZnnAqt6jFL8YFNfFKCYIwFUxirvCQtm8QEh3mi4F3O7LHXfcYf136623zvj83nvvxRFHHGH9mxl8xeNxq0wUS6dmATOrlzx58uSe5R966CErOGYmX8ztep999sEtt9yCwWLIBsrZGlXBpnSH4FCLYafvcKo9dqMNddM0iQstSCF0v/nA063Y1gDOZ1vs2ovJH0e1iR3WnXRT/9UNbvQ0bvSdAwVPt8yQOa/mv/hP0vVwc1A0ScCh//c7/qIC20+vz/3+GpnOh4xRE3JrKzOWzMssvskkw/5KIMhGRGl0dfGPobMj9z6OMocXDpUVuYm2gVDuXWvE+eelY0GWcBrAK106ftZMHO8XM/oUbm1hTtu061/ybdtudF1O7wNxoLwDUhplySbdNxuDU9vYTluZfr7Gxk18DYIJnFradu2A1xdGuvjPEm5dWc6mqmv5x+mv6a2Z3Ndz6xwWsLZqaGlKYDYFXjSAayWgnjPI5OlArc9Th7UKBeZSYDum+eRs3zoGuXd/oyaFXxEHvR64m77czfMsn30qBG7uY94zJh+vgL6evY7HT7b7n7te3iPSzLqPIgQwZWBFHJhBAebJy3p1HRS6zt+Wn9OM3XgF2N0z6eyTeuZ072uuu0Em3VrkcRrFYlHA6ilTQV6ddtFmRjVfjxWnzyM3umO7fpe7bNYFn2dQsFLWzDywjQIqIUlJU5kEy+UMdSipYzWU0+soZ8McrtnMdKkwZANlDw+P0oUFMX/QgRUyxccisD2GN29oFMcFyufNt0cvR4VE/LVdxzYGRUWJGjw55RKJWIZdD5jAwSI/SHbCagCedbjsb1Hdqp882ieiFcWgvK+JR2GJg+JWP7A7x0CrXBkrEvxqUGw72DtSAmynCNhAARaawOpicsa9XLoBZqzYba5YCpTSvgwmpTPH7+FRIAR2c3v3d1kwwQRaivEAowApo06+zaSo94y8Cg4ZgI5ggiRgS5+A+9o4U79lxnxKcb4OMG9RpjHuL8zblDledzm4B19rimH7ej/XDb8QCNQrNDvcscYEqRnju/zAFAPYYQhl+W+sCPhYNXFZp475Xh1yVAkE0yWS4QReDuMBNjleaj8eXqDsMQQRTdNSeniUPkwj1lyE8TGhptUOyoE4pWg2gRrvtWXBkQeoDRwcFPFexMCvanm0uWxeT5i4LWLgMh3YQwROE5Pa5f7CSk0xxdnPDlL1XmuKW4FysZDMlTgieQxZVErxE6X4Qtdxr4/ikmCy/NN+ajKraagwXiS4o0rCujLBXzt03BYzrbJRHr3IhtcPePQPL/Xaw8Nj0KihRZpRLiPu6zKwmUK8tOsyhmngjq6RcWtTAjeOKt7saLF4Mm6AyfSZJrmuQPvO7AGSnqf2/JxKu141zWnbwyNf2lg5Mwq8BaCRlVGiwOoGsLMKNFI2Q1Re96cTJGbK5xexrU/AExEDp0ZM7K4Q7K+QQeuPOk2KuyMGjgyJqBqUPSgv2IvDUkp3Ln4Zz/JgyD6diCTYGnit9LsudGZOTQvs1unG4MAp+RqKFOtcFcuoJPt42bUneqaZG285N+ssWHtxuF677RfDCIlnSmOHU2MkO7INUapZjVb281VmgXmGslZDv81fGIkEEM9yQ8k291qZAQuPaCz3s0DI+fflYG+3+23cwEeqidsqxAEbzAykYZKb7ZOCl/MiEBQRoiE5NKDJbdtGQnd8f+5SqeD5aCfeNgh2qFZ6Ple7tLzuOV7b5BkL2ZnqNf/CkqD7ZhLT8wlAI7Pw7uc+Mbonbz+hFL8DOI6ZeVWyObxc2n5rw7MdGraQgPbf2223lbdBFsl9FhTiPmBGceXy7OYbl9kZnOaXFcG7t9yYM7np49tSzWYhoXhaBsZSoCkBfBMA1o8Cp3cBlWbS1Kk2JYCPJPfI+n/eKbAzzNQ0Z2ZegQD/Ghqc8+LmVHfkekBC1fg34qHVInY1Kc7rMrCBLGCKSGzHmrwxbL7mbd1UUIqmTgOntGo4p0rGmoqze8ZN/8j9Pm8MXgbSplJLdy6lfRlMvGQ/Dw+PQcPvwNlzqBI3Ka5fkcDpdYo3m1zGGuX0dOPTRwdx19IoomWmE9xMAJ43AKMAMwjLKcU9FDidAIE+Xv6w2Yp3Yia2DHg1bTz6b8z1mExxkw9Yw0w+S8ImcPYyYPeOZJCcbGzD7wzXCQQ7KAJeH0Q5COsTz6qRrVJc57ZqeDSiD96MqTc76tFPvEDZY8hB2eCs9F8eeqRSWorjqVL65SAebdewpl/EBmkzzB6FxRzgjmC1gIRNKmQ8sJyTdlDCrE2AagK8VQAZ32MUVl3mCSu5/37UKPxsuSLMzKZjlng/4OEe9pLlfZ3iIn8yI+nSOLCNTrC/RrBjJxDMisVoGcwmFoOtFYJ3NQp9EIPEWpHg7BrZKtHFZEazWjW0D8JUpUmEsnG9LqUfDy9Q9hiCGIIw4ANkj/7xE0v7LMLJYwMjQyzdByMbuPymmljFYSqaR//QhIGfrTymMYCX21TMt0mFLkVYevIhIvBfHUjkMThiAcy3ADZ1sOzbMQNbDcBssj4IbcCjePwtbuJ2leJRjeIEFThUIwiv5HlvcGQVw4EGgVhGX59qFL/ogxf0rOsTcV+9gl0DAuZqFAesUPE+p778cO8HBjso9gJlPkN2KoPpLpxolAUfcaRRsdN38LQcPD2OrUY5j8LqdvoSN993Q7F0u4WG7SfbPjEHbx+capEZbvRzbnSc+V4DrtbMhaiK9/1gIPP371VgPZtDEkbk2n/8/gt//pmnC1NVikQicx8qK4hj/Zfdqebp0nh9Tfb5j5oUQYHgs0UR3KIBowmwjmGgK6ZBDuTXFed7b9vBu9qiTb/qtL3ZtWHn33fhCSAS/nNAcnYOidiHAC+LRGu8R05wcFjC3+d14aoGH1dzye+3+QNH3i3HO4V2fY7O02NzFp0IghGE4icTmCH2vV7B5rml1imQWlRMavD12WewAdm7MQPX1CgZ/UQxnjHs+vP0xIOtWXSjG853vXxNvt22hPz6F84tYzt+EnLbPE9129mW/LSDtRtW+g/ADQSQI0AsK6+6pib3+OMhAqXXNqBf3hS8+1DmaPp522GsWOFsnXbPmOxnGcPPUjI4qLHe87olKK6Msu8mN/afsGCVT+pG9OcGkLx73s39wmsvo/0iTveLOMyguKApgSvadbwclrjeHHY68XzaoJuxsofHsAiUPTw8Sp8vTWCPIdoLaZTif1ETbNzaZVI8HjNxUFDARxqwi8SO28t6GKrsGhLxr3bNagPlBBsy53M71gvJ4XiTQVHfRyD7badmDdZHe/eAhwt+BLAWgJ0Je9FIsGI4io9dsokAfCQAAYHgXZ1iOcWgOlCzVOx/NPqtrKpyqw5QbNjrjVKytyifnKjiMkSHqB4eHqXOEpNag2o2szrUiJgUV3UaYBPd4yWCCAWOCYmWHnsTEdii9LPAhgR0kCQYIiFWoMgCxjqUD2yCLZ9EFGbes74i4JOEiV2D9o389eYEtvQPzAxPCY07PfJkLgVmEGBdtwHWEHzGOIUZ6p0vA7JPgBo1sMwEVhVLo5zVgFIGbaDUdMGltC+DiRcoeww5iHdzlwVNFBhleW4V4QlGB74dNJkUz8VNtJgUP+gUm/gEq34kCx7SUfMsv+LhHGEQ+4IGkWBFuQXKNP9BwUY+Aa/G7ANl5qz9ZnMC11cNzPBDoN79NlSYA+CQfnyPeHVuLLaVBdwRN/GNTnCwj2SkYA91vHGhR38ZsoEyq/cqSSt/bcbTznBr1bo4U250x6zmb873XXTqbrQcTrVLdtovN7rbgSRbO6MIFLJIIFLB0XnNV6vm5no51SPnq+O02xYPN9odPao7/n6ig/mR8uteMtjd2SIBbXFgtZkjHBUstqtRmQ2hJohu5mjA4rm7ZKtVG9loo/9SaY6B0TOtGh6hwLYEmM7cRgkwTaeIt+eu2B8SC97e7Nogt0amG60Zp38wuMplVn+VFFwXlk/tc/abQkzuPZNvX8brd9UuNSdQXqpRTONsK9qWq7W3e38SDnM+q8xtQ+HRnAWZLp/zWdtvmXWLWRrkczqwlJWVkYWMZyBff8/fWa1LwwxKcZNK0dWpwkcI4q2ZN92XER0jRIJGXr+XZ016XntRWF+QZx3lwtf4dgf/GWHnY+Fs/OLmeWh3HzsdP+Rfw1eFSikWAlhlJf12LMbps6K6ja7fmT6YIXL2i3fPdnbyj5XzOLP1weDBe6Hs55coh8IxyVPCMrYBsIFJ8WCHhitVEzc0KNyUi7zvlzz9UYpxt/nF0p8d9eoolyZDNlD28PAobaoBtJfmuxdXqUk3G0AzBS4Vkro5Dw8GCwaXswChRF8wdjPHoLhTA+oJcFNIQE2e+xskBKuJFN8YwAZZIwz2UunVDhXbVDK3ndIfuHqUFswni73iqR/sHSljwgLBCVUyLm9RcU+7jmMqvTCgVPBSr0sT7w7x8PAYFJgBNptr0stwwMzSR18zkzNwHQAuFgZBc+VR0owQgR9Y9gHHGbcU6KQUD2pJQ72jZWAj1oYLFNTvIBHckqDYzQTWj+iYGzfwbUzH7JiBOongmAY/0Jk5A+/h0RcKIdiSUrxMgYNL85YqG9js9KwaBSctS2BNhWAjjvO1h4dHEi9Q9vDwGBSi/CoOZQFLnP1XKu3uHgmQqDdy80BO6vXbRunpY9ms7ps6xQMasJUE3OJLGv4Uks0lglUF4AmN4t6mONYIiNi1SsHZI0VUpVK5k8W0PDyc82zqv/tQCr+bNlt+72IHZGb5/DoFFzcl8PcGweqvPAYXL/W6NBmygbIgiRAcFJl3WvPYTmMzkPDqUfK0HK72tUgtYDDrKFNRACHMRMnZW9J8r7eb2sI8rVu+58pOq+ZUH2qn1+St13SheTXiucUFmlmOcoov/cAqfqC9DSATR+Usq70917H+K1u7rEsEcZ1AyhqN68ytCM50aXY1NoPVMjSToqZVw1VVEkZKAre9mDq/XRSjVmzebShPbai1jgFKMbbVZmYdg/WbQPKqCWpbz5xzvf3VrIJyL+MSBlZ0RhCoD+S27Vhu4W7dphZHFdMRZm+rJnNbjMpxFdzvR5ezV1K9LIgb+LsGjCHAUb7M+5mnR+b1I076lrEATk8/h8xUK2paWSSMfLXjTnWU1vOgSDWLnWw/ua3C1wjP957n1Za209/bXhen+2uzHN9jReJq8l9LmEBKf/wfmeD0oAh/q+5IyysqArfmMS+CtmsWvGcEr2aylms/YIubbfGw89yQpNxnj+jLXekaPmDLqI7XYwYOsuQQ7inGmKYoOPAs8vAYVoGyx/DFIAJMUnozOR6ZzPYDa9g86POFEgJTLJ4BT7NJwXxUxpfigMCjB83hy7Ji0KgISFCKH2IGpnHMdQaLcX4RkwWgapg0XU0onXPv0X8iaf9ex2X9bd0Lkmxh6hBW23ioUw79AMv2KaWSTGx/PIpjLufh4eHRJ2zybK6veIFyOmzOYbYv+fObBCwXgSiBjXezMyaJxEpd+1bzHiQefGRCcGJjADcvj1ma9lKikgB7ugw2PDwGkz0VgjUlgkP9ArZSvKFroViuU64DvcfgmXmV0o9HPwPlO+64A2uttRYqKyutn0022QQvvvhiz9/j8ThOOukk1NXVIRwOY5999sGyZcsy1vHMM89gtdVWw9SpU/Hcc89l/O2pp57CxhtvjKqqKlRUVGD69Ok4/XSWxOXh4TEU+E0BRuhAuMgT/3ECnDMKuKc2+XNzDXBlLXBePXBGA/ClTXmNlcHS+2oEIO49Rzz6YKsKGVUiwXPtLvIxiwwrBfWjAaxe+hMsHh4Zfe7xAQHPJ0xEvAF8wWCZ6p1eAp6HR2FTr8eOHYtrrrkGq666qjU1f//992OvvfbCl19+aQW1Z5xxBp5//nk8/vjjVrB78skn449//CPef/996/uJRMIKpO+9917r+0cddRR23HFHKIqC119/Hfvvvz+uvPJK7Lnnnlbn+P333+PVV1/tz656eHiUIN+z2eQBcPN5LiXbvGBZ8q0gsy1g/+3+UfoZ6LJ+a65GMavCexNfygz2ewz2/Dp1hB+nLYhii7CEWo4GeKD5NWZghJAs4+ThUU5MFAk2kQkeiZs4uoTkDOXMniEJD3Vq2CLAvF28PmEw8cy8hlCgvMcee2T8zoJaNsv80UcfWUH0v//9bzz88MPYdtttrb+zgHjatGnW39lMMQuURVHEzJkzkzshSdZnLFB+9tlnsdlmm+Gss87qWT+bed57771d7SMzxUg3xrA1yXB6BmyWoxwzimKZ2lBTcLT9UrAS5p2DgTpXkiJA0AkEIvTLBMgOO4Mv3nUpFvmeLzfGRjzDHplzI2gxvutVe0vu59PX81tB5g3LVVxcK2NCahvqm3Nylv30zlwzr2iMuymoTGiVRkKn0BWKD0PAxDgQSqV4d/uumamf7j2s5PggyVlGR93EOzT8ZlIEKODr0i33Xl8o97zwjJEYfGMhF23Txf3txhwpH8MkN6Yutseap8EW71jZok6Pwc2x8kwgZZtlx5kUu1cr+GdTAueNDiaXDfAeKPz7SAnzzLxyUyGE2lyDL4Y2jxUw6+X95jhmKAKkYO4+8PerOORrsOW03062gfwMh/Ltd522LTdGecUyTCrG08z2GcMZE/DugvT2flQlxTGLYtgrLCMQMByZMEqE/+wOhTiGlS5mV+Nx5yaQvKZtJ53mLatxZD5RpiHiIIm5y9ZWcpzHAGwQ13B3O/CdamJNX2FePgyUsaObbYklXs+eUWrpzqW0L4NJ3n2iYRh45JFHEIlErBTszz//HJqmYfvtt+9ZZvXVV8f48ePx4YcfWr+zdO0jjzwSo0aNwujRo3HiiSdaKdaMkSNHYvbs2fjuu+/y3TWPYYpomhAGfS7Jw46lBrVqJ48vokaSmCaizGUXwH7NhV331ybF5RpwoGeFWPLI1MZKeoA5uM6H72IGvo7ajKIHAPaC6j9NcTzXpmK3YTQbJ7mJfDxKHiZlOLhaxh3NzutwS3aW8h4QCMEMn4Dfh7jfhlQizwKPYRQof/vtt5b+2Ofz4YQTTrB0xWussQaWLl1qzQxXV1dnLN/Y2Gj9rZuLL74YTU1NaG5uxtlnn93z+SmnnIINNtgAa665JiZOnIgDDjgA99xzjzXj7OHhUf5UCgQRMz8zLSc8Xpf8b00Bn49f6xS3asA5MrClZ4Di4RCfQHByox83L41ZGuHBmBm4akkMn0R0/GNiuKgvqTw8is0eFRK+TxiIeC/EC8L3qok1PIO0kkm9LqUfjzzKQzETrq+++grt7e144okncPjhh+Ptt992tQ6mX84mFApZ+uZffvkFb775ppWufeaZZ+Lvf/+7NSMdDCZT11ZGVJRYocBUMc3e2nq8mUaze6E0nC5HOGWIKCdvphDbTU/3E1KDLZqWUsRK4mR/u3u5jP0bgOV4MQTLUHa0HDtesvLt2i0XE2WYaVqb7uXS9Tfp57k7dSf9OxnLpRalqX9kXzd2XdzsXz7LZacZ9dVe0lPzuo8jPbWv53jTPmPb7f5NSLVj1sK7PzVFM2c5LbWd7OOI+v0g7DjSjiUqKVZ7GRsS8D2RMCmVet1pijl3QyyQm0qqBs2M9XXfb0bWBJmmyIgEJDSqCtRA73LZk0vd+5fw596/XUpypfNNijAoqkFxt2riuBAwngX7aan9WmpZ7nXLalfsumQvx9omt/0JOU2Duxw7Dt5y2amcdsvZrS+9vbHrS7NSmZPtKnks3emtyf6guw2mlqOc+y2rvbBz4KSftM5f2n3ZQ1Y5MHapY4KEiCDnro9zH2WfK6upZPXlyeNgN1Lmcux4u/uH7vV1r01NnYMZVQrGxgQ81kWwveLLOS+6kbrfsiQjkHy92+3eJpEyzrO1HVPK2G43naKCl9pVNAsKLl0lAIkQRKP88yzJmUOC9Ps8ux3kvVzqMDPaS+p8Zx9v9nLWsqKz5xF7HkRElnaatSyrf571Xbv15bQXl/149n3kqn+2FiA55y/9Pso5Dk47GMzlePcb+yT9nulenyEaOedFS0sl7m4HE8LAIsHEWEpSKdzJZXQxdxyW8CnW8yTZr6VtU2brEzLaKUtEImnr691ubmdsaJnrY8Rt+lM1O+oQBNAsGU33dtM/7z6O9K6o+7lFfL3bSj9eMfU8Sz8v3f1g9n3ZJOroEE2MCPgQTe07a1vZy7HP0vv73o2JOVedl1JejPFQX+O6jOVSz4JSx0u9Lk363XLYrPGUKVOsf6+33nr49NNPrWCWGXGpqoq2traMWWXmes3Sqp0yefJk6+eYY47BX//6V0un/Oijj1op205QfQoERcm5gUWam5ars46yyMvJJDeYYstlD1Iltr48l0vXAhf7eFnaTj7HIaeGmDl1kDM+YetzvpwhKjCIBIMmm7dudfi5+5f9OOvvcky7nLN/JnV8XlTrm/2/HtmTQ31uN23A0n3+0rW0yeOlGQM5ne1J9/rk3P3TqMDdv6iiQTAyj1caU4Vf4xTxrggax1WApIKb395ZknNelsflnOtR1ZD7oGb1kle0ZJ4Dk4qQZQkBSUGse+AkCvAHswZshmkNOgxf5vrYdpem9F9PSRSzqYkGg6JRANasV3oGJt37l0idV9E0el80pP5hCGJGO2UDDus8pwePYvI+6m87YG0g535j+yesvD3z76Pkcumn32AvGrK3m3Yc3QN3a/9IH8t1t6t+Hm/3+cs+XkPMPM/s36ooIS7LOfdvdgBsrS9rcGe1++zlWEDNtitm3W/sH2n7k34cRioAZssdPE7BVfMjWHdMJWokASTtvARS92H2/UtDsrVc+p7QGp+1f+nHq7brvfuXxpxWA89EgdNDPrR3JgfOodow54WJ0NOO089L9rRCodoLb7nuNsRbbmXtym45za9AFfwFfw5KWW95+3pupQfF3c+P9AF+er/b13ZX2j/3dRzZyxHCbS897Tl9uy6WI2ZmCo/b/aMSzTleg018ZJ2XkVGCaJgiqAhJuVVq/zpa9Z521bPdsAzB8FnLpbcXScpazvKbEK10/ex2ZSrJl1PpCLqRG8S1mbnLGSbiTZlniz1nxEDWeUk9j7KXY+szOctpaQ9/I7WcdVyp51n687e7H8wev8ymGlYLsXXJ0NL8SXL7XSF53bLvXymz32Ww98ZO79/seSWrXWWtsK/7PP0lVF/3b6IUzHs8ypKCvWIxTdNKj2ZBsyzLlns1KwvFmDt3LubPn29pmPsDS8FmM8lMB+2UWi2Gip7bfvDJ11THDeYA5ksUwyyoEASJjrA5MNefZ/LFNVkr0vVycw1451uwUWAQTsYDD1Xjn2etrT3ns3rDj38t7MTeIRFTaKzHuaUt1pWzbLgpV4NWUcXfp+iyrLf6QR9iIxXUtnQhkBZEh0P8Y/D7+UYvLLXvdxnoZCU0AJyoArUVvpIz5rEzQcp/vfm1Le5yZn77ZHtes9bLxlqGJKFejzm7BryModRLICdQGy2snubu0whgZyWBR+dFcMnYzMYo2tyHij+3vSmcWStKc+9D3aS4e1kr/ugXMC3Wu/6AP5Vm0U8TxoE0vcoXVZLQoEULvl7RRdsg2VPrhThXyPP7LozT3GB3H+TzPNU0jjGkGccnzXHsWJUZAJGu3PtAk2XUtec+jxRO7BRIvWDPRtCdmalSm1JwibbcZR0mSNoiy/w2UMmxQqjX+bUQf29twzQC1CZ6T4bAMSi1fcYYnGefC3d/3jPKzjjV6fd5tIg2D/8SwptRHkKB8nnnnYdddtnFMujq7Oy0HK7feustvPzyy1Y69dFHH41Zs2ahtrbWMu5iumMWJDPH65VxySWXIBqNYtddd8WECROsmelbbrnFMgjbYYcd+rO7HsMM3Xr7OnAvJjzcwR6h4aw02ULChml/n0LgEwTsk1m+3RUGKP4hAUtTTWkPA2jw2lVZoWWnMZcABzT4ccTcdnzapWGDsFzUQdetP7WjWgB2VIZvf6h15/97DCn2qPXh8eUxfKOaWGsl+lpdFItmkNdOgeUGxUSJcF9glTIJk+KdqIEL6viO2EMJlrFQ6pSaLriU9qXsAuXly5fjsMMOw5IlS6zAeK211rKC5O5A9qabbrL0jWxGmc0y77TTTvjHP/7haN1bbbUVbr/9dmv9LF27pqYG66yzDl555RVLF+3h4VHeKAKxHtDF4topyWD80MX9r5PMeFwEZqeerbsYwB8800yPArX/00YGcNuyGO4rUqDcphq48NsWSxd5Rkj06qN6DDlkgeCYkIR/Rgz8XSYQixikGpRimU6xwDCxgP3X+jfFQp1aspc6gWCZQbG+ImAdUMywVEqlHzTftziK6T4Bq3pGXh4ehQ2UWZ3kvvD7/Vawy37css0221g/+SJKgvXTH/JNBcl3W/mmZJXC+/Ni1XjkbisrJUgUJYgmhWiTQlXwlDLOWNdNe+HVkizZOswclw4lzF+2ujZ3WSNhQDEp4ppp/buv+q11dbkpbM3NfZ8r9ldVAPZdBlQpzEsh8+9Mk8ZDzGqvJiheSu3+qSERO6XVVJY4tSYFmfeZUJwUZxdp3sXY/mDf805rTrPfBFHgXgenaafuzgt/nSKnvWw2NoyLF0VhVioIprIrZE5dY2sfOPtvtOdWgWj9udX67+yEgaubVOwQEnFIlQxfKFdXwGvDAy2PcZrSnfe9IQuQTGfH66aeObc2s4t9FTjrNG2eG7xl3WyLd67tvu8m1Z6P836Pd7y8GuWSzT5tMyaEu3/uREuVHxNSbZoIuVKLtmoJtWJu6rGvkiNrCMtYEDfwWksCv8V0zIsbWJQwUS+bmBCQMCEsYj2/iD/6RYyXBVSkxpntuol32lS83pzAvxIGNglJ2LpSxnohCbJlrJhZz5wRY4E2J40+6lApYJe6XTMmV1oRWZopXWw2KP63LI4HxgVz2hf3eWYznnb6PHJzbxUj9bqYL1IKBWvm7KVMqeDNKCcpfRs4Dw+PIVcqp1gzyt2PwnkBYGoeM8CLBGCsAFxXKaFqAP0FPApL6Qw5MvmoLam/79IpgmLh0kD/16njiU4df6lVsP4wqpXsMXxpN0w0rGRShDqUKrDyaU8vjuLnmIGd63zYpsaHCQERY32ilQnSV0BXJQnYo96PnUMS2ljQ3KnhzuVxbFEh4+gGjgkGgGNEYG8T+MMgdFQfxZIPyGGsyig5vNTr0sQLlD2GHKWvRBnesCyvWBFfVbIJibkhYEcmHmMzzAS4ZSTwlyXO1/GhDKwnC16QXObwyoWUAk8sieKocWGMcDGz2xcdmolLmlS0mxS3NfpQ389sqqFIqbYBj/xZqpmWLji4kllFXnmhdOJMojA/YpWr3G9UEFtVK1Zqd3+plgTsWeNDp0nxf60qRsoC1s1app2VgSLAZ8LAyno0SnFXm4avEyZuG+FDYJi8CB4eR+lRDLxA2WPIYZUc8AZHJQur41pMjfLpvwJdYRMCq7nM3C4loNmFFPQVhWKOBFwf8IKNckdm5Y1KkJ0a/Hi1KY6Dx4TymkGe26XhvaY4nlkSxeYywYXVinV/eZR+G/DIj/sXR/HIshj+ULNyIyo5q2RV9n1089IYJvsE/GVU0Eq9LhQH1/mxeVjGrPkRjALFqFS4Nh8UNwAYR4HaAX6Pc01LMpvllmEUJDPkPN3YBwLP9bo08QJlDw+PAeXDDhV71fFT0QpBhQH40+TN3VVxFijAyuwA35Qp3peBM6OsZvPwGUR4DCxb1vpxw68duHNeJzat8WGtyszB/oq4gdeXx/DG8pg1A1TvE9HgF63/Visivm+J4/3mOMKSgC3q/LhqRi3GLHdePtHDo9zpMEwcWu/Dn/p4lqhMjhAx8JahoaU5nvN3sjTB5nUxRhFxy/jilA9i2umD63x4eHkcZwL4FBT3ANgbwDMAVklVWBAHYM5znmZijkpx/0if90KtBPEC5dJkyAbKzHgg3cTFTvDv1DTAzpjH6ffttu+mlqFT8w47M45imbI4NR9xQz61ZiUiQqZcjy3H8K+r6Ph825myOP2+/bL5vRXltTe7dfKWFTn3gd21DtTlGor8FNUtY5TNKqSM+tFSMPdq6Zz6t3a3S2VF5u9qABBCQFgH/Kle7h8jge0NYIYJTKVAIDUwYbWStdEyvkiYeDdq4IZ6BfUigRyQHZsz8cyR7O95520731qnA3nPF8OcKV9ERYQkSgOyX27uY59pYv9RQSxXDVz0Yxs2rFKwX4MfX3RqeKMlYRkIbVGt4OB6H5hXXrNmokkz0RzXLafdibKA/caFMEpJtbuoBsq5hxh8MzM3plWFr/ttR74mPtw+S5Egic6eBnZ9meMa4S7OC2+d2aaCg0KexqVu7gPBoREm71zNqPHjtt86EA7J2KXBb3lfpPfFn3VquHFBF1YNSDh7Qhirj+ldb3cmtugXe+RAKzN7crpfPjl3hnsLRcSty+O4v1LC1zEd148JYYFqoHpJDG9TYIwM7JvWTXFKp3OxM6f01+S+PNATBv5vSRR/qPUhUOHrux3ynvM2Y2CnZon59q9vNsVw7g9tuHOtOqzDnDr7qmXNGdMQswTuLY+yZMgGyh4eHqXHE01x/KFuYN9mr6YDB0eAh0LAxwKwhAD/JEA1pWgjydcfY9o1jJIIrq5LBskeQwNSwhKMI8cmZ7BiBsU9CyOY9WMHNqqScfioINatkCGlBpamljvoMzifefAhJeQi61E4dmgIoFEieGhxFP9eEMEO9T7UKSICJsWXXRrmRHXMGhvChpUK5ksC/ObgvZjoLprwcoeGMxr9lib6ssXJF8HrEOBpIzNQLhYvtWu4fnx51kyemcq6OeGbZpw4oQI7jvBjdPdbcAeUw1O93M28rr76ajz55JOYM2cOAoEANt10U1x77bUZpX233nprvP322xnfO/7443HnnXf2/D5//nyceOKJePPNNxEOh3H44Ydb65bs3gwVGS9Q9hhymCU9PB6+tOom3u/Q8OepuTPNhYayNpAKxtn/b6oCa2jAA5XAaiZwugmsYGU02Mw3CEaOcfgK36Ps+oJSJyASnDQhjBNH29R68cgLw9NsD1lmVMi4emoVFsR0vN2SQKduYknCtGaRzxsf7pllNge5DTQoIt5cvQq/xg3USQT/l3K9X19g6eFAIwHeNii2EAChSPvKXLjZmivKVJdco4i4cvVq/HVOG15tiuGOeZ14b7ORjoOYcphQZmUpWfp1Ke2PG1gAfNJJJ2GDDTaArus4//zzseOOO+L7779HKNQrbTj22GNx2WWX9fweTKtzZhgGdtttN4wcORIffPABlixZgsMOOwyyLOOqq67CYOAFyh5DDh2kLAbIw41nOzRsV62gIlU3tphQgcDM2k41BaoowJLSZBCMLvpeeAw2queBP+zRbCQzHkOHcQEJh4xJDmeNeK5xl0ZKw5hxlVSq9+H1fuun9bcOPKhTxCnwqgG8YgAXyqy2cmHHLzqluGZJFP+cFMakAjntDwbbNwTwSVsCn7QmXzTMi+mYHHAWxnj9QPF56aWXMn6/7777MGLECHz++efYcsstMwJjFgjzeOWVV6zA+rXXXkNjYyNmzpyJyy+/HOeccw4uueQSKMrAZ0QM2UBZ8EmWNqnoZ0AaGM3uQGr7yEDua56aMB4CREvL6ngVRuHTGG11Wg71X3bf5+mk3GjC+AhFaRu+NIMi1aR4bl4X/r1xIypCucK01p/bcj6rr8tdpyTxt5+dkRMNEEi1BPVy5vK71fhwe1MCddUK/pCmc+I5ndppskSf5EjTla8ONLniwt/zRdPi5qltzHf72cfFhssiESFKYr/Pq/114Wj9Nb6zrsBJk+amUwt2/ZDufL+KoJvlfV/gndMS8LHgwe5NibO/3O/nea547cKWUp3Zc/M84T0783weEVbfL/szW4+Z3PMtcfpnWZIhS3kOsPMcKwYbJO4z8qzUv9lM4uafNuEqRcIdkysdyS3kIH+nlHDmsS5PGFbJqtUbAv3X+ts8D3nwnp12/gNu+6ezptdi89cXWb8f/EUT/rflKOu2HZ82rjCiuX2mwGkrpQaTVpeSOXf3vnR0dGR87vP5rJ+V0d7ebv23trY24/OHHnoI//nPf6xgeY899sCFF17YM6v84YcfYs0117SC5G522mknKxV79uzZWGeddTDQDNlA2cPDo3R4rTWBaSEp42E2GGwekiGA4IUONSNQ9vDw8PDwGCxYyvUBIwOocxGQOqVZNVBbhPUOBkFJwD83aMBxnzLxFHDN7BZ82pzA57uMAylzmQUzOE03OR1suvdl3LhxGZ9ffPHF1uxu3981cfrpp2OzzTbDjBkzej4/6KCDMGHCBIwePRrffPONNVM8d+5cS9vMWLp0aUaQzOj+nf1tMPACZQ8Pj6Jy1+IonmmK49rJWdbUg4BBKR5tU7FN2Ov6hgOlM+TwGCy8NuBRLm1gUkDEy00J7FOtQC5QxgHL5vqxS0M9s/YeIqxf68dqFTJ+7NSsIJnxRWsC69X6e2pjr1BNNChCWvBc3kH0YLJgwQJUVvZmOTiZTWZa5e+++w7vvfdexufHHXdcz7/ZzPGoUaOw3Xbb4ZdffsHkyZNRinijRY8hh2BZOXmUCt9HdJw3IYwZAzibTCjf7fahVhUhAdircnBntj0Gri/wGN6IXhsY9gglZJDUF7vU+/Fpu4aL5nXh0glhKH0EywtVA/MTBraqyQxafozqOPKzJqxVKaNZNdGimhgdELHfCPt60+XIgxs3Yv8PluKc6bWYH9FwydfN2HtcGDNrfbj/x3Z806EiIAp4fMMG67/l8Cwo1TrKlZWVGYHyyjj55JPx3HPP4Z133sHYsWP7XHajjTay/vvzzz9bgTJLx/7kk08yllm2bJn1Xztdc7EZsoGy5BchddeYdFmfMV/y1YTZMkClDIqmhebpt4qgtZNMAaIIEOJURycWXmdl8zm3HXK2RQqgp+ZqOfOs78zVMNpcw+7ayDNrFPykmdg6KEOocJ7uzKsEEGZFZTlU1mUGvlFZBGkIolZL7tu8hIFHmxP4ImbgoU0aLQfNdIyE4fi4uHUjeWltdnpFN3Vp870Xi6FxtvsDTz+fbxkjh23Q7mWJwhLtidz/PtqFdpwYouNj4OmWRRuNM4wBfMHEa8ey8xrhvOtN47l6QVfk6WPhEwQInDbAxYWvAHfZciot52ZMZPc85LUXh884WziXiuT53PODQOY8UPL398iPbN0vezpesZaCK39swx9+aMM6NT5sUue3fkanLfvysigu+LnT+vfO9RouXrUScYPixaY4rvs1+fkfGoNWSaVGH2v/pKe+dH/7wnx9NASfc78H23FO2rIypVYJvYrGIA5oCGCNSVV49fcOXP9jO3Zv8OOIVSpx9ZxWBH2iNavsK4dA2aQwSjD12ilsJv+UU07BU089hf9v7zzA46iut//OdvXeiy3bcu8NGxs3wBBC7yVg0yEkpPw/agi9EwIJoYdOgITeu3EDg7Gxce9Fxepdq+0733PvWvKu9g6e0Wql1e75Pc9otbNT7szcuTPn3vOes3TpUpSUlBx2nfXr1/NPNrLMmDlzJu655x7U1tbyQGCML7/8khvqo0ePRn8QtYYyQRCRwYRkE16psIZt+9WyjK87PCgxSBhskNDklbHL48GBBgf2N7fzlBysuT893YwbJmchKUq0WgRBEER0wYy/28eko3W4F6sb7VjV4MAL+9rA7MwZ6RZY3V5sbXPh/MIEbGlx4rN6OzeGX6rswPx0M/49Ng1jU6I/3eHaBjvvkxmXFccN4Qk58XxiuMpacdeWJpyanzDgdcsDiWuuuQavvfYa3n//fSQlJXVpilNSUnheZeZezX4/4YQTkJGRwTXKf/rTn3hE7PHjx/NlWTopZhBfeOGFePDBB/k2brnlFr5tNS7f4YAMZYIgwsqYRCO2trt4iopwcADAs1YPxhglHHDLSNVJKIk3YLBOwmlpZpRY9MgySPyBSUYyQRAEEekkG3U4JieeT2ykbk+LE6saHWh1S7hxeAoseh3cDjd2Wd24dWcLTsiy4K/D1LvHDlRcXhn3bajHyhobbpmQGWAId7i8+MeaGlTU2vBzswO/m9U/rrrRFsxLLU8++ST/nDdvXsD8F154AYsXL+apnVjap0cffRRWq5UHCTvjjDO4IdyJXq/nbtssyjUbXWb5lxctWhSQd7mvIUOZIIiwwoKSMK+tFpcXCp7TIdF48POGJAMyD7qBdRgNkNJMyFByZyViAhpLICicFzHQ2wFmDJYkGPnUnWEJBrw2UZBLMUpxe2U02D1cv93k8PDvbBSe8cqmBlS3u3F2USL+34jUIIlVpBOpGmW1sA6dX4IZxsuWLTvsdlhU7E8++QSRAhnKRNTBQnlFTlNDfFJr41qpjDA9tOwAzorTdRnJncjkchXz8A7xgf6WTISElypAzOOhOhA1xBl0+MeMXGxqcuDBjQ2okoBrJmej2e7G61sa8fopQ5DZaAtaz0vvA0QPiVpDWTLoAgKTqI3lES6UAyGEQS8ZYgAgLcHIQi5DGAKfeTx6yOz6h3IeNAQP0YRaVxbFQCvqA4+Jjl5LUDtJdVnF58oYb+BuUq8csOKB8Rn8u/6ghqg7GZOyD78bWcbedhdGmXXQ+z30dC0upCYakVqQcGiezgR3djJSpEBNiy5R3BBI7a7D7v/QRgSBnNQG+FK45yMxqF9vIAzmFa57q/u+ZcDtNkJnNPS43Q1bYMNQr6uWZUX3vFI7INpuiPtSCuYVaqA3xfurG26PGTpTaAHFhPUgUu9DlW28pkBWCvesMOCjMQyBwxSuteh5JroqLq8RkqAd0BIkrL/RJQYGwlxTb4M5yYxxmRYerMuf+mor9+RK9H8HDvUdNAyBV5W3G/ie4/B48fTmRjy/rRlrLx8Nk16HiXkJOKrDDTTb4a5ow7Pbm3F8Thyymu3CbbpF704RxkB3vY5WotZQJgii/1lRb0emWY9RyeqjXSuxx+nFdbUOJOslzI/XI1knYY/Li412Dy5Jjf7gJQRBEATB+Pe2ZuyzuniU5DkFCZhTkIg6mxtflrVhXZ0NZxYn4brRaQP+ZLHju3zpAWxoYL5jwI4GO579qQ5L9rVhVlEiFqaYUGN346MDVrw1wDTJ3SFDOTIhQ5kgiLAxLtmEn5uduGJNLf++9ssKrLlyDMwG7Z4UThkYbdbhugwTllg9cMgyjorXY3GKEaVRliOSIAiCIJTItOgxtzgRRxclYlmlFW/taka6xYCLRqXhssFJeHxHc1ScvHf2tCJOL2HdWUPx/L423Ph1Bfa3OPlv31e0I8Udj3/uaMZlQ5IHnCaZGBiQoUwQRNjINPsMYocX2NTixOBUc4+MZIbTK3PteY5ewmSLDql6CbkHt9Xd9YwgGOQ4RlAdIKKRy0ek4sJlB1CaasY5w1P51MmBA+34ucnJ5Ur+MqWBRoPdjae2NOK5eQU8oNkVU7L59NLP9fhwRzMeWViET9bU4sphKSiKNwz4doBGlCOTqDWUJbOBT4fTTGjRbAr3Ew6dUl/q4kQoHFPIej0NeuxQNJs6lx6SzgMpFP13mHLtSn2oHxOiabsql/WKz5Xe4rv/1p85lEdPnPz2HuxrdkCXEjz666kLDr6hNwf2DpfqJWyssmFhuQ1GCTguLx53jvJF+9RnxgVuz2uAVW+EXmULJ8Vr0G4b9erqq0kXHr2jbuDkgZa83l7XpqretwwYXAboLCG4/StdF9E1EByrJhSua1ieMVrQ0hYL2hc5XiFAiOh8heG8Gmx66OKMqvbV3+da0/uIlvOiUsvLyyB6RngU6qZIky7UGKsoY289zwRl0nskSHpRfI+B05Z2vw8Hp1vQ5vLi8q8rsO6KMV2RnxnbWM8061w2GZDQ+S4TYhwMTRpn0TVUeB8TbdcwJIV/PvLWLpx9RC6GH5nPv9vXVOPxrU1YXtOBx2fmIqvDjUvHqov4rZcif7R5oEe9jlYGUCtBEOowSKwXlc5WJLG71ecqNXeY7wHYE+L9LqpL/uVRZB1kGAZEHzIRTozSwAnWQ4QHE+sxIWIaE6KzHbhjbj4y4w084jODjbKe9r+d+Ly8HRePSD1kJA9AVu1uwc8Vbbh8TkGXVvmeDQ1Y02DHv2flIetgR7xa6FlA9JSoHVEmCCJyWFHVgQtLU3DjWcN7vI1Wj4zZWRZU2zz4v5GpOCKDdMkEQRBEbHL6qHS0Orw45pXtuPmofHywvQlzByXhsx3NmJ8/MHMrd7i8eOGrcry5tgZ/O6sUTR0uPlq+rqwNO1qcePrIXJ4iKhphrvKsQyCSykOQoUwQRB+Qatbjnb2t+KPLC0sPe7n/tK8dJxQl4uGJyTz1BUEQBEHEMosnZmJEpoWPJjs9Mn43LQe/H5oCeQAZOWWtTpS3OVHe6sRzGxtw1Kh0vPvb8Ug067Hw0fVo8Evf2OjwoCBKDWXSKEcmUTuirIvTQ6fCNUOYa1ZDj05Y8myGI7eyBvo0p2sY8ihLTFFgZHoz9C5atKEh6se0aYk1aL81aODEWjX12qPOnMnsgf3KkgrAoIPb5RELPgT1IOWgTolhc3vRuKMFV4zL4EE9uiN1u9clr57nzZSMsip9rE7UFCpp9UWGvki3rKhv7f37K9R2SJMmXkMZhHlWQ82pqhL2nqiz64PqBicseXHVNzhhifegpO3U8jxRew605GNHmFCpZdVJBugSTOrOS19qdkS6YQ36XMV7NuTniWh9b3j2FYbnmbDN4XFLBpBxpfKe9bI8wgCOSLfgiBkHUyPZPZC65VzWvv9Q20eVcTwAvF3vxL++LMe4oiSkxBvwxJUTMLSyBdjfin9uaECuSYfMVBNGpJqRatEjKdkEyS9+idq2VCdHvkaZiEyi1lAmYhffI51GHCMFZthee1Q+/vT+Xny5vQmnjc/UvI3NLU4UJRiFRrKSkRRBHkxEP+GldiDmCTFeJxEFePq7AEQQLo8X939bjQ3NDrxx7SQUpB8KyOlghjKAZQesuOeIHIxMM4fckTUQVOqsk4eNKkcKvdGBHg2QoUxEHW5Zomh9EcTKvS3cSD5qSLImI3l3mxPP72rFukY7f9m9eGiypociqwdEbOP0Uh2IdZzyABpJJMKCi+pAROH2yjjyha0Ynx2P//xuMuK7ZbhglLe7YHV7MSI1xNHxAVQHKOp1ZEKGMkEQvc7WBjtaOtyIM+rw6dYmPm/FnlYeqEKvwlWqpsOF362uxYVDknHNiFTkxelVjyYTBEEQBBGZbKu3we6WsaAkWWgkM76pbMfc/AR67hP9DhnKBEH0On9eVokDfgE4GKv/MEGVkcy4d00dFuYl4PwS9aPIBEEQBEFENvuanRicYsL+Fgce/2IfTpqcg+JMn+t1Wb0Nz66pxTcHrHhsdh5iCQrmFZlEraEsMT2jxdh7wUdCFTpFQmLfMJQhbIG/NATe6B40SYIekkGC1L1292mkZIXyizQfftW0C00Bj0IMHKa4XVEwr8MHwDnr7d0BRjJL7XDbmcORVJwG2WoX7koXH3gSLhyfiRuXVOD0kmQMSjz0mz7loFapG5IlsFdacusB5mrVrR7p4hUCesSLCqUhmFc4Aib1YQBBpS2GGthQS0nFweN63u7y9LkeA6RudUvpGoQlMKPCvjSh9hx0uwfCiqjN6nPUHa/kMkBKUue+qRiAT+UzSmbBCnu7fVUKUKWlvmgIEiYO7qBXH5BMsL7ch88z0XmRJD0ks8pKq1TWSHiHGwDvX0rX23+5yYOScJbby9M8lddZceE/16IoxQyLQYedDXacOioVHx9diARTt3qnMnibEFfkmzus6keSRlnLrRjNRH7NIQiNUOag/oNFuN7e4DOGZw1Pw/YqK/5y2jAcNz5L03am5yfgz2PTcdnKKszKicOoFDNOHZQotGeV0CFyHjhE/6Dj1jIRy1AdIKgORBYFKWYsmpzdZVRfOzMPq8raeHaL+SUpMIah3ab3AaKnkKFMRB0GSaZGsZ9gOuINV4zhBvPEf2/h0af/9PIWrL//KJgFKZR+iV8VJmJEigmbmhx4fGsTxqWbMS5T/YuRgQzlmMekI0M51uk+KEXEHibqMItomNfZUYP9ZFZhGFUdCM8CjyzzKVKIpLL0J5EfBo4giAGHyytzI7mTiTeu4OkgtDIkyYShSSa+vSSRyzNBEARBEMQAx+d6HVkTEcUjypLJAMms4vDU1oSBlIwxVC2NBn2KFoT6r3BobLw6SEamUY48TZFaPY1k1FIPQ9NDK+nHpBDuF7NRhzNn5OGt76t8JZQAg0GnSf/VEWfA4+vr8VVZG26ekYtB+YmsW1jV/nn5jawe6A6vL1YYdlJcVmWdVdQ7arm/Qn1SifYVJk27an2nwvFLgnIJ66bSPdTturBBJMmjhxT/y3q5w5UrZNRuV8t1ES2rpfx9WQf7EkFZJT1rB/S9f70F60tK23S7g2YJa7FSXATRTKX7QBjzQkO7GYa4ApKGTlJNuVtVtg+SrIcuzhiadjoc7zRKqD0H4dIoh6iHljRcV51ZoHF2qa8vau8NyaF6kwQRG4YyQRD9y+J5RdxQfnTRGBw38aAeSeW631W04/allZhblIh3Ti5BEvlPEj0h8vrKiL6G6gBBxDwDoRmgqNeRCRnKRNQxgMY/opoDjb6gXhvL27oMZTV4ZRm3LzuAu2bnYXpuQg/3LoVD5kQMMLzyQHg9IsIJtQME1QHCOwBMZTKUIxMS/RFRh9tLRlIkkJdm4Z+vLK9AS0dgTmURzXY3xj+zGW9sbkRmvCEEI9n3cuwmIynmcWrI1kNEJ05P5L8gE+HFSc+CmMfppXaA6BlRO6KsizdAF2c4vO5FrXZHYf1QNS59iXoNYS80KCr3pah7CSEvreTV+7qA9P2YB1FJ9xtqBFadQMepVLdVXwMtOS7VbZNFvT7pgdX8f6fbi+ZGK1J0cZDtwVo9jkdG/MG6cP931Xh8YRF0gpzJSnVYMgeeWJ1LB53OCF2Cymsu0CMLdY0Mg8pmU6luDyB9qCZtZBjaklD2L3l99UKK0/W8XOHSLWshVD1yOPbfK9uV+6asej1gCIPmU3gNlNoMQQwE0fH3xrkOx/VS2mYY3n+E50XDfoTPQ68RUnxwr1lY3gg0vGcovf9o0mmHuK++QmnvwhzhWt7/RAg08SxuTaQjQ+YedZFUHoJGlAmCCFOaqA//OLHr+/+9seMXl29xeHDlZ2U4YWgy1iweiaOKkui6EARBEAQRE3S6XkfSRJChTBBEmBiaHdf1v83pxS1v71Jc9l9ra3lP6n1zC2AKtTeZIA4SQZ3zRD9BdYCggTGCHgVET6E3UiLqiHwHm9gZVX5y0Uj+/546G95eU4tnV/nSRXXnv1ubsK7Ghpc3Nfbi/nttU8QApS/VFkRkotciLSGiEj3LFUfENP3sea4Kj1eOuImIYo0yz7fql1JG8R4RaV805PwT6qz6UrcchjdBTVqWUEf/lDSnIbRqTFqqN0jBeXD78q1ZUx5kaNAdC7RuodY3xbJ6Qyqrp9GOGRm+gF6dVHe4IVkCm50Gqwu/m1OAr7c34fGf6nDEmAyMyRMH8lLMbdzt2updEozQQbLo1Wk7RfMFukLlZQ2RqW8Nlb7USPf2+fICJieA+D7a/0DKNxzqMfSlllbLvnTB96zJIIVHkx6OZUPNpc0JNRCGaF8KMTf6SlOvdKyivNmCeWYWsyJJ6UGnLu6M6hgvWlDKKR+O+hIuVJZB8bwKtxniO40g9pDJTEYf0TOi11AmCKLfMep1SDLr0ebwBVL5bk8LTnlyA+aWpmJUbgKeWVGJ/Y0OZCUZuYtkbrKRG84EQRAEQRCxQqTpgiOpLP0JGcoEQYSVM8Zn4MUfa5GTZMStJ5RgbVkbnlxeCbNBQlq8EWdMzsK43HgUpprx1MoqrK9sx5xhqXRVCIIgCIKICViclkiKeh1JZelPyFAmCCKs/L95hThvUhYaO9w479VtXfPnDk9Dh9ODt3+qw1uQ8bdTh+KBk4fg7Bc2Y3x+IuaVkrFMEESo0MseQRAE0TPIUCai9LWIKV/oBSlSKEgx8+mrP07E3Z/sw8ZKK+KNOvxmeg5abGWw6HWYPTSFR7z+++nD8Nv/7UBRqhnzStMwvzQVQzMtPDiYFqgzlPDK1A7EOr46QMQyVAeIgfA+QK7XkUnUGsqSSQ/J7BfUQsnX3qguEEBEBPMSBJMQBr3qy6BVSsfaj+Fm3ZIOHr0cdG3DEoxDY+AKYVAZQR3SVFZ1MUq0102lwFnd0aBjybYAZoOO65Df+7meT51MemAtlt4xC+MnJmPpuBys21aLb7Y24ffv7OJ9HgtGp+HcWYUYlHko7VQX3YKfeO0SXG4dYFEZ7ERLMC7RfLXzIiEkp6hcvREUJtKCl3llOFmRLGE4t8LzFYYgSuFC6Z4NtR6EGowqDIGgnF4WzEtlG6XlnteC2vYhXMGZBtp2e3n/znY9YFF3Dfv0zSVc9S3EgGiayiS8jwXvNOr2oq1MivsPnudi74QRDhnKkUnUGsoEQUQebo+M7TUdiDfp0OEMfpid9fCPyEwyISXeiBSzDnVtTiSY9dhXZ8PGCitmN9jEhjJBEARBEARB9CJkKBME0WdYjDp88rsJQfOl9EQ43V60dLj41Gx1oaWpgxvJCSYdRuQlwGTQiUd+CYIgCIIgBjA0ohyZ0FsnQRARATOEs5LNfOJ0BOZgJgitRL6zHRFuqA4QVAeIgVAHvB6ZT5FCJJWlP4laQ1kyG/nUE32GLNIzKWi6hFpSLZpRgTZRUZ+qVkdp0KCVE50Xt0f9siFqlBST0IvOgUrdjs6lh87ohWSU+k1DKen6UOunBS11UyWK2iMtGjy7I3ie5aDB7I/SiHK3fbEy6VxMo6yiTErzlXTDIeqRJSkMekel8xoObWW46OU6L3ll6Hk7oO/1/cuh3t/9fq6U6ovac6UUg6EPdbcq0et7I4aAymW1bFP0nPb2wv2mMg5G2NCiM+8jTbzeJAGWCIwhEGodVHpGia53X96Hob4ratFTq9RI640K77VEr3HffffhnXfewbZt2xAXF4cjjzwSDzzwAEaMGBG0rCzLOOGEE/DZZ5/h3Xffxamnntr1W1lZGa6++mp88803SExMxKJFi/i2Df3kURi1hjIRuxh0cp/GRiIiD3b9tfQXEdGJiZ5wMY+J2oGYh+oAoba/tF/xeiH3d4A8fzSWZdmyZbjmmmswbdo0uN1u3HzzzVi4cCG2bNmChISEgGUfffRRYSYTj8eDX//618jNzcV3332HqqoqXHTRRTAajbj33nvRH9BrBEEQBEEQBEEQRD/hlWWuU46k8miBjQ778+KLLyI7Oxtr167FnDlzuuavX78eDz/8MNasWYO8vLyAdb744gtuWH/11VfIycnBxIkTcdddd+GGG27A7bffDpPJhL6mx34+lZWV+M1vfoOMjAw+xD5u3Dh+0P7D6rfeeis/Cez3Y445Bjt37gzYxqpVq/hJGDx4MJ577rmgnokFCxYgPT0d8fHxKC0t5cPvTqezp0UmCIIgCIIgCIIgVNDa2howORwCqZyAlpYW/snsuE46Ojpw/vnn4/HHH+ejxt1hdiGzJ5mR3Mlxxx3H97t58+aBM6Lc1NSEWbNmYf78+fj000+RlZXFjeC0tLSuZR588EH885//xEsvvYSSkhL89a9/5QfLegosFp9w8NJLL+U9BcyYZkPrbIi+qKiIL3P88cfj97//Pd8GM7TZ9t9++20+LK8KoxEwqdEo92G+NxFaNMainhQt2itRJ4NoXji0WwpIJiXNaAi+0y7Jp8U1hZg7MySNTZi0neFwywlXvl8tdVOkPRFq8lXqhnUyJI8eUoJOpca555r4sBIOzWeoes2Bomvzyr5YB2p98DXcs1If5huW5RBzC3vDsb4GbaQSfZUrVs+i5YeoMVatUdYQ10CE2nIytNTBUE+1Jo2xSHutQRMfat0UYZQBplPuC8L0/iSMbdEb95AoTo+gzQk1toawHdMaJ8ftVre+aN4A8J+N1KjXRUVFAfNvu+02Prr7y+t68cc//pHbimPHju2a/6c//Ylrl0855RThetXV1QFGMqPzO/utP+hR1WHibHbiXnjhha55zBj2H01m/ue33HJL18l4+eWX+cG+9957OPfcc/k8q9WKyZMn86F5ZmS3tbV1Db2zngZmbHcydOhQbjwTxOGQZYn9oRMV41AVILS6jhHRh5c9DwZEzFsiXESS7JPox/fCCCdSDeXy8nIkJyd3zTebBYFWu8G0yps2bcLKlSu75n3wwQdYsmQJ1q1bh4FEj7qI2MFOnToVZ511FjdyJ02ahGeffbbr971793LLn7lbd5KSkoIjjjiCD6t3wlyzR40axX+bMWMGRo8ezeczI5kJuJcvXx7a0RExicsLUFT72MbjBVwU5DLmcQoGIIjYwkntQMxDdYCgOtBzkpOTA6bDGcq/+93v8NFHH/Go1YWFhV3zmZG8e/dupKam8gjWnVGszzjjDMybN6/L/qupqQnYXud3kat2xBrKe/bswZNPPsl1w59//jkP433ttddyN2v/4XHR8Ln/0DlzvW5oaEBdXR0ee+yxrvnMAD/vvPMwd+5c7pZ92mmn4V//+hf3UScIgiAIgiAIgogWvJ5DuZQjY9JWfuZNzIxklu6JGcX+nsaMG2+8ERs2bODBvDonxiOPPNLloTxz5kxs3LgRtbW1Xet9+eWX3EDvHEwdEK7XzPecjSh3hupmI8psiP2pp57iAbe0wEKGdw8brtfr+Um7++67+cn+4Ycf+L6Yy/fq1auDoqSJ2Nukg8mmg8cr+TTHB90uWJoAncTcCQ66YXhlONkIJFvOzzPDxFIMsW4EPy8I4XKSJ0iW5PRIfETTf7ZJL4uXgy54v0adeL9+eYG7jkMK7DHj+/XfnsFPNsW0u/7LsS9uffB5OehuEXS8Xq/ycag93u7LGSTxecbB69b9eP3mBhyH33INNglxBhkNtl9ermt7Bw+w63i7H0dn+Q7WocNurzfqldJyHl3PzvMvLeenczps+SQN10PSBZ4/hk4nPn8mKXh7B0eGA5YzCsrHtgc5YDmnR4bD4w0YUWTzPN3OAat/TMIYcB+5ffv1P2Fdy/nv1y37lgu433p5OaMOel6OQws6nd7Q9tttQX683dzSTMZf2F64lpNl3l4FHC+7j9SeP9fB8+Lndl3b4uXLBh1v9/Kx/Xbz0OX77eYF17VfP1/Oru35l0/vk8b6E7DcwfWFx8HqaUD5ZN/9Jqr37P7ott+g5VyyoN0NltP66oFgObYxtfv1CpbzW1fxODr3q/Sc/qX9BrS7UlD7UtbKlpPUbY8dr7B9UXH++H5l8XnxOwmK55m3r1711/egrOAXt+dfvlCWM3rF58Ujq9seW+5w9bTzeHWy+vIdPAeHuz/KGnvhPlK7nFfD/Qavhv3KgueWHFo71Ple160dYnri4OOVVbZX4nbN4fa1z0HH200WwcvnVjh/fg/wQ+2LJGiHDh10Z3tQ4YsrFdFEquu1Wpi79WuvvYb3338fSUlJXQOjzGuYxZpiI8KiUeHi4uIuo5rFqmIG8YUXXsjlt2wbTMbLtq3G5TtiDGVmqHa37JkLNQu2xeg8EWy43N+oZd9ZlGu1FBQU8JPFJhb0a/jw4dwYv+OOOw67bkmRBckJfXBSRUEHNAXZ0BDMS22ybaX9M4snaJ5/+TsbHKVALX6W0uEINUhHCEEqLM1AkhlIjVO5wi9erx7qWhS3KSksq7ZBktSXT3UQHzm0oE9aAuAoLesfeO+Xgoco3QOWwHu92epFm1uHoixjnwQ/CRvheGhqCVwWjkBQSsekNiiLyvPv8coObBesAABKI0lEQVQwVDgxNC+4bqlGUzAxOTwBj0INlqO6TEpoKKvwHPS0vqhte6VfLKusB0qzBdsLNYhhqG2JYH1NAZMiIQBfONqMUPclQu/B2IIwJNIN9Z1G6V0vDHUr5PVD3abStRIF6HK6hIvKLmePnxEdEWSARitPPvkk/+x0o+6EDXwuXrxY1TbYQClz22aeymx0mQ2ksgHYO++8E/1FjwxlFsVs+/btAfN27NiBQYMG8f9ZzwAzlr/++usuw5i5TbORYXbwPYEF+2JGNwsARhCHe6cR5DEnYggpxMDpRHSgo4Yg5uGeAkRM031UlYg9BkI7IHtlPkUKWssi9yB4pmgdZkt+8skniBR6ZCh3hvdm7tBnn302d4d+5pln+MSQJImHBWeu00zH3JkeKj8/H6eeeupht//0009z33WmTWbRru12O4+azXJo+WuZCUJYqbk7Hp2bWIZ1fht66g1ARA3MZY+IbZg7JhHbMNd7IrYxDoB2gMla2RQpRFJZ+pMevUZMmzaNi7VvuukmPhzODGGWDuqCCy7oWub666/no79XXHEFmpubMXv2bHz22WddOZR/ienTp/OQ4ldddRUOHDiAxMREjBkzhqeWYgG+CIIgCIIgCIIgCCJc9Li//cQTT+STEmxUmRnRPfErZ8HBXnnllZ4Wzbf/xERIiYc3ysOiS+tnjY4Mt2odqKJGpq8Ix3lxyoCJ6Val3tcbCpftuY5S0zZ7g5A1xhq0eiINnl6hyRHVQ5EeuZsWuQtzt3td7wFcOiDB1K0AGuqbkuZT5F6k5XrJYVo2EtFyb/AYCN3n6TSs332+zARP4noUjvtT0Y1FwzGEgBZ9q6y0aKjlCtWVRxTbIlRYEEyT2tga4hMjbLdCPlch6luVznWorpshu2NpuIbh0r12x+gWu5eEI+aG0vpqn3FaULrntTznRIiOQUnGEurz0CvSKAu0yKwIIu2y2n0lRL570UAP5hWtRH7NIQiCIIgeQBJlgiB6HJSTiBoGQg3ghnL3VAv9CBnKPshQJqKOHsQTIKKwDrAgEWzaW96EdZursH7zAfy8tRrTJxbhuivnwGym5i/aIYkVQYMiBIuAT8Q2LF0gQfQEelMkog4Xz/vb36Ug+gO7w431W6rx48YabNnTjHUb9yI9NR57fIk0OfsrmjF1fAGOnzeCLlKUw3IhE7GNfy51IjahOkC4BJlcIw0WZTqSRnEjKQJ3fxK9hnJSEpBk6YGuTYFQc38qbjfU9YMdSqRQdcd9eXP0RnjqbuWVjB5IZgmSuZvOJsQ6oJinVJMOs5/PrQZNlVDzGGouSCVNllA/r1JTxjpH4tPw1vs/4ckXlqOkOAPDSwuQmhqPc0+dhPycZLz85hr8697TkZmZhIQ4E4+h0GNklde7N7TIanvBQx06DZcWOuQQBKJyqdQQsntN7xXXI1HuzpDb4lC1oX2Xw0ZSOoeiW1l0DvSh53JW3b4ooXZZoxuSWu+RUPPaRoILgy4ceug+0hJr3ZdoWdG9zS6/ySSYb1BfB4TPI/XPKKEORElLLNLEi5ZVWj/U9jxUjbNo/1ren4wKsUjiBW2sx61uX5bI7zEjjXJkQtnlCIIYsDDX6k+X7cKJ5z6O5at24um/n49hQ7Lx8ecb0NxiQ2ubHc+8+j3uvvFXGFyUjsR4c2hGMkEQRAzQYXf1KC8qQRBENBG9I8oEQUQt9z25El9+uwcWswHJSWaMGZmPmtpWnH3Jv+FyeXgaup82VmLRmePw1f+u6u/iEv0EvecThDY27qzHI6/9hHXb6lBSkIwrzxiPY2cOhk7gocRjQFS2oCg3GUaDb9zlkVfXwuny4MxjhmNoUSqdfiIiGAhdPszVOZLcnSOpLP0JGcpE1MGe5zRmGJ3UNFixck0Zvv2pHOf8egyOnFyI4SUZ+OMDS7FhSyXOPHkSFs4fDUnS45vlOzBiaHZ/F5noR/rQm5kII3anG/tr2uF0eZGdakFGigUGlRdXTw8DTXy0Yg9Ki1Lx5E1HY/Xmajz99gb88/V1+NXsEhj0vnPe6ZWzdE05quraYXd6MGdyISaNzMa7S3bhrGOH45LbP8eFvx6Ny04fh57i8XhR12TDgbp2VNa2Y0hhCsYMzdS8nYPFJmKYgfAsINfryIQMZSLqMOgl6Mi9Nqp4+4tteOmdDWhssWHWlCJcee4UHH1kCeLjfNrmJ/92Ph9Rfv/Tn3HrfR/ilF9PwiXnTUNOhoLWiYgJTAaykgYSTW0O/LyrAfuq27C/up1/7qtuR6vVieKcRJiMetQ129DY6kBinBGjBqfh2GmFOHpKATeeY60O1DfbUF7bjvzMBGSnxYUsK7HaXNwwHT0kA2aTHkdNKuDTmq21+H5jFdweb4CXxiWnjsXR04vR1GrnRvPXq8vwxwsm4/SjS/kI3ksfbsaWvQ0YU5KOMUMzMGZIBpK657YX8OX3+/HQiz+itrED6SlxKMhORH5WAh559SdMHpWNP184BflZiaqPS2sdYCPlG7bXoa3Dienj8ni9EwWOfOndddi8sxYOp4d7MrFPh8vDR9QdTjdcB7+z9QvzUlDEpvwU3//5bEpDemro1404PJ0eDwShleg1lC3xgCWuZ8FytATmEQUSEAWTUEKLa0NfBQqJhK63UALr2D2AUQZMvRuARXJrCJsYavC43rheoqAkWgK1hBrUJdTAX8mZ2L6rBl8s3YbPlmzF+WdMx3mnTRG6AMLWhpwkCVecPRGnLBiGs69+A/NnliInKyFwud54IZFF5wXhCealtr7olNo3b8+PSSuhBjRTXbc0BMrzeNQH7tLSbg90lOpViG2/MECXEuk+t1xmVNgcbqQkmvHYe+uw/PvdWDh3JEZOycfxRRkoGTMc2VnJAcYEM2Sayvdj3YYKfLFsOx556wtMnVCEx+45PXg/LWVAvEldAEGjSX1wJaddfR0SPTu0PAtS0/hHS5sdt/39a7R3OLF9dz03RosLUlFd24bWdjuPwzBkcDaGDM5EyaBM/mk06FFWbcPe/XXYX1aH/fvr0dDUjqTEOCQlxSEp0YLk5Di0tdmwdPkWzJw5EsdfeBKkwkMjt9NGAtNOCy6WHZlwAWAm64nTgRN/Czi9CWgDsOgvp+Loi6qxbfMu7Ny2GU98shfbtq5ESmoiRo8uwZgxgzF+dDZGjy7i+9+/vw5r1u7G2rU78c2yzXjo/gsx84jhMLBnxsFzZbc78dKry3HG9Z+guDATpYPTMXxoNp9Kh2QjIz0BqNqvcA3caGix49ufq7Bi/QFkpsbh6NPnY+++OuzYVY1du6uRn5eGtNR4fPrFz/y8pKTE4/89tBSzZw7HMQsnY87s0YiPN+GzL9bjoYffw+Qpw3HKeb+C2WSEyWzkKQcNxjiYzUaYTAaYTGyekZe7oqIOFeV1qKioxYpNdaj4bDcqymvR3m5DYWEmCguzUFiUiaLCLBQVZ6CoKAsFBRmwWHx1UrK18BF2n7TIV3fl9ka43B58u3ovigvSMGRQBjSjto3WaQgSK4mWVVhfNFs2qS+r2mBeBhsiHZZDOaLyKEdQWfqT6DWUCYIYsPy48QBWbNyAhkYrduyuw9FzhmPukcPERnI3cjITMXRQBjZuPYAxw7W76REEEb4R49REX9R5Fizqmru+xNotNXy0J5eNiuakot3qwNWLZ3FDhSGlpARth62flhKPBUcN59M/nlmKD7/cjA8+34QRw7K5wcAMxIGMT//bisq6dhywVqCqpg2bd9Zgxer9mDA6F+++cDEymWF4kA6bE/vKm7Cnsg179tfjs683Y/e+OrjdXgwalI3BxVkYPiwPC48eh4z0JD563Npq4wZya5uNu1XfeN2pSMvsHV2xTqdD8aB8Pp1y0viuYyovr8WWzfuwZfNePP3semzZUs5z3KamJmDalKGYMnkorr7iOBQXB7fdzGi88rJjcNEFc7BzdzV2bNqFHXtqsfTbHdi5p467rg7KSeD7YSO5LpeXf5rjktDQ0MDHRY4cn4vZE/Kxs7wZjzz2KYYNzcXwYbk4Zv5Y7NxVhda2Djz7+GUYWuKT7TQ1W/HNsi344MMfcevtryMzMxmJCRb8/aHFGD95dFAZvXJwB0xycgKys9MwefLwwHMkubgRXVlZj4qKelSU16O8vA7ff78F5eW+eYmJcSgqyoTT7sDuvbX8GThtcgmOnjcGO7fvx0dfbIbN7sZzj5zTK9eN6D+8Xi+fIoVIKkt/QoYyQRARB3PPe+H1H5CVkYhfHzMGf75qgep1126oQFVtK2ZPHxrWMhKRD3k09j/MaKlpsuHt5fvw3MfbuZFblJ2AQUXp2FXezEeUTz26FBedPAY/7behMJ8Zy84uQ1kNJx03FklJFj6y9txrP6D8QDMK8lK4NCMxLgGSpwMmow5mo567wfLJYuSfh+bpYIozd/3OXI99nwaYzCaY2PeD84rzU2GRwnvO7njme6xYdwDDilKRX5CO/JwknHLsKFx1wXSMGJqFxJRAb5n4OBNGD8/B6LGDg7YnWZJ6PwVQD2DXvrg4h0/H/+oIGOUWfqzMWE9Ojvct5D2851ZcnAnjxxZjXEngcTU1d6Ds5y3cmDx0bXWoaQGGZeuQYDEGdLZKIyYHrD9j+rCg0ci01AScfso0nH7mUbBaHdi56wDGjxvEOwJ6w4xgxv/Qofl86iqX5NsyOzeNjW0oK6uD0WPDsCE53ItgxbfbsGTpFhyorENDUwceuvUkTBpb2AuliV4kilxD9BAylImogz1cyGFkYDNySCauu+ZofLZkC/5wxTzV67ERhfseX4qrL5rpc9kjYhrqEO9bmEZz14FWbCtrwfayZmwvb+FTnEmPEcWpeOuOo7metqy2HfvavZgyOgdjSzMxbng2H1UeNmEkzj55kub9DmFuxoMyu4wcZnxXHGiGze7C/p01SE/wwun0aUedbp+W1ClLXdpSNr+9wwVnu6tLX8qX7VrH61vH6YG1w4n4eCNeuf8kbjiHCts+6zBgExvl3FXm+z8t2YIPHz0Z8czN9qDrdTTCjOcuIzlEmNt02vCsoPntLheS4kPv2UhIMGPihBL05bnJyEjmE3O97uS4Y8bzqXrffrz65hr849kVeOaVVTh+wSj8asGonrlgRznMayHSoWBekUn0GspGi2/qxOtW/yYl0vsp9XKKemVFeiYtWr1Q3+4UE96r7EHujZ5m1dpIDdpMlefFpZfgNeuBeH3fnO++1JkLdcNhGtpQq1HWUt9EeiKGkyndArnoshPx0v/WYFO5HZMmlvziEKFcu5d/fvjVVq7fOmr6YLS7JW26KtV4Q9BpKcRFkEPVjOpC0w0rVaFQNcZC7bOGez6UuABeGU63hnszHJr83mgH1J4XLdvMzebaxsqaNhTmJndFM0Z1bdCissMRvP7o8ahraMf2XbU8jsC2XTXYvrMWlTWtKCnJwcgRBRg5dRKOvaAAg4ePRXJKYOClQQAG49AxsKvkZAaNOydoV1aHgnxCMODcORLHMKUATOmYHLcRg0cFurwy9FJwm2PWM3VtMEnGqkNllWXccMNzuP3pH3knHjekXW6fUd1Qj+GD0xFn6fYO4A4+h9LIqag80IhLr3wScRYTSofloXDoVJy4YBCGDC1GXn423DodWplbtTs9aP0Ot9i4dHqC64GtLXieXeHecgueZxaFTkeR8SHav0EXfF2Vtpsk6HyINwRfK4bOEvw8kYYE77/OsQNJpcFu0i63XxybwxhUOo+k6lwpnVeR3NOo8OxOMAbPTzWXB83LGJGLP9xyBK79i4zNm/fii89W4/Lr34HL5YLReKgO+vT9vgKUDM7GuWcdiZq6FuzbV4d9e2uwr6wO9Q3tOP7Y8Vh0/myMHBPslSBX7xaWFZZucUCUUHoWi96XldoyWVK3XcE1dMmR33HO6h4zliOFgdC50BdEr6FMEETE0dRiw+P/WYsDte2ormPRbB249MyJOOeY0iD98eofd3EXuwnj2Wv14emwufDov1fisbtOoSiiBOEHi967vawFW/Y3Ydv+Zmw70I59lS3ISovn9+CsyUWYP2MwZhfHIeUwUYn/881ePHHd19AbdBg5LIdP844sxVWLZqNk/NggTw67rD468UCAGR133nkRfn/lwzj/qhd9rtrMPduoh87rRmVtG84+fhQuOGkMMlKDDTEG02ev/24bbrntDVx95UKcfeaRfH6LPKyPj4aIljo5duwQPv3p/85Bc30V79DxcfDTzbqifG7bb769CoWFGdxonntkKQYPykJiogXvfbAG1/z5JeTnpWPWkSP4MoUFGSgoSEeGLNNzlYhJyFAmCCLsMBfI/32yGSxLx38+3IRHbjoWJUWp/Bl+z1Pf4uMlO3DhyWOw7MdyHpmUpYEqq+nAnbefy7VganjtvXWYPrEIY0fkoLlNPAJBxA4sknKbldWDw6ej6W3YKOMPG6u5m+/8qUUBnUDsBZZFr+0axe1tPXCjDVvLmrlB3GkYt7Q7uevzqEGpmDYyGxedNx1DitO4ccc0jst/LMMXK/fgzp/KMLwoBfMn5WPexDxUN3TgkgdX4LLjh+H/zhiFpRtq8Nxnu/G/f1+Cwvxgd2ApRuQOTFf670cvCP6hqRoVNW146d2NOPaS13H7747C8UcNwfZdDdi0ux4bdzVg4+4GVNVbMXJUMf5y0xk4ZkHP8wwThMhozs4ODoDX6dVw5ukz+HRovs+AZiy+cA4uPH82lq3ahY2byrBs+Rbu9VBR2YDWFivyspO4B0pBTjL/nDg6D1OmldJF6CXI9ToyIUOZIIheo6KqFa+8twEbd9Ry76fzThqH4+cMw/1PrUR5VSuS4o0oKUzFoIIUjCjx6aheeuAkvPnRJvzh/iX8+0P/N48HsMmaOA1ZWcmq980iwC5dtcevJ52IJVhe0/Xba7F6UzU3UneUNaGwIA9XnVKCvZUtPA8ry73KPnNSLdD7GarsBYV5OeyvbkN6shkFWYlITjBxg5elk/lhczWMeh3iLQauGU2I8312fmefzOV/w856fLOmnJdhVEk6XG4vHvnPTyjITuKdPw3NdjS2+tIKjRichpnjcpGdFo9lP1ViX1UrCrMTUZSThKIcv8+sBCTGB0fSZTlt91W1Yeu+Jmxlo8T7fZ9MDzxyUCqfTj5yEG44fyIKMuMDR4OyD7kzZ6TF47SFI/nkrKjGmm11WLq+Clc9vBJltVa+TGObAx+vrsT9/92Mp66dLjSSI5W+jlhRyK5bXjI67G789Z/LcfvjKzEkPxnjhmVgyqhsLD5pFIYWpMAwZnqfliuWoUeCeli7uGDeWD754yjbztvIiuoWVFa38c+/PPwVRo/YjBt/fwyyMyPbc2QgvBXIHplPkUIklaU/keQoe6tsbW1FSkoKmvc+jeQk/zzKIR6mYh5mlbowRc1FGMKva9EYh5ozOdTj0pLfWoluutXKWgcS4/RISTL02jZ/ES3bDTXXrOjaarmGoR6XSA9kODRit2d/A/7+1FKs+GEPHzVjL/PMLbEgLxXvvPJbxCsFpfE4UVPbioWnPIgnHrkIs2YMh90c7HLNcnSKSO5Yx1MZnH/FczjvjOmYN2sU2lo6UJDbzfUxLJpljYjiHfRGzmXV+w9xX1ruWZEmXUmn7nbz+lJe3cYNVFZ/PJYk3+fBusQMWrf74G8sp6jbix1767B6XTm27arD6NJMHDGhANPG52Ps8Gzc/vga1NfVY8KoHFTVtuNAbRsO1LShvqkD6WkJKMhNgcPhwp6yRm4wFhem88i5ldW+nKXsdhkzMh+zZ/hSk7GotywNT4fN7fvsYP87+CdLtzOiNBcL5ozC7Jml/PnDHq/rN5bx9TLSE5HOptQEwOvChs0VWPXjHtTWtWHOzFIMK05GVU0rj9jMJhaMqqyyif/PI0Xnp/KJGebb99Txey0/NxmjhuVgVGk2Ro0u4vtnaZMOF/FYFkVBZnpgd6AeuKmxBZt+3o6NG3Zgy6bdOOu84zB/wXTYPeL1213BWtQ2p7i+WF3B8ztcwfeGTUHzKdLCxglGtNsq9iBvSPCoV0ZcsKdBVlyNcF/pJl8MhAAEcU8c8LVvLOVPVVU9v275+ZmwS8Gaz2ZHcBqmuo5Do3v+tDjcqo6fzxfo8tm9E1RWwblmiDwdWPRotYg0lgbmSiTal0CjqxM8o0TL8XIJyipav2bvTmEdEGmMHQrnVSQd1aLhFJVV6bjijeq02waFZ79JLzqHGuI9CBBp+p1OJz5+5X689vpyzJkzhrd5zIU7ISkJCYkWntoqIYF9WmCOz0BCAvs9DvEJcV0SDXPLFvXvNCG8P635uQbTj74OLS0tSE5W3wHfl3bLsf/3FoxmlZrvPsDlsOLLh8+MyHPWl9CIMhF1GPRSyPY/oR2n043q2lae3iUjPQEHqn1ROg0GHU46fgJPX/JL5GQn4+dVd/f41DMX7duuPxFX/vk/mD55iOLLGRFZmvV1W2uwnk1bqrFldz2y0+NhMRv4C7veZOQjHHqdDnq95Junlw5+Z/MllBSn4/cXz8LE0lSeyqcTj1fGVedNwZCC4KhPHlMCD0Z1oLoVRpMewwZnIi4+cDkW3dgr6YRpiiSd4NEp6IRhhtIkkcbe48WUCYP41InstGFQYTpmTOm2rOxFa5sdFVUt3HBm5Tr3tEkoHZwJs9mvHCaxHjYU0tJTMHf+VD4NVAzG4NH4vnDNLik5lO7HTkqQfkVv6Ps6EAuYTCZcc/XxOPnEqVj70260t9th7XD4UlqV16G93QZru51/trU7YW23od1qQ4fVhpTURMyZOxkLj8jGEVMG8w71cGI0Rf5LIbP5IymYVzjG8QYiZCgTBNErjF/wUMD3wcUZKB2Sg117a/HyG6twzWXzw36mRw3Pw8J5o/DvV1fi8vN9AXKIyOK7nyrw/tc7sH5rNVqtTkwYmYOJo3Lw2/MmYVxpFhLi/F5qk9LUP72dNtVlYEZ2bnYyn5RIiDeJI7L2A8lJFoxm03Bx9GCCIIj+oqgok0+dePXBnXZOb6BrdkVFLZZ9swbP/Wc5/t9t72DG1BIcPWcE967ZtrsG2ZlJGDI4ONVXNEMa5cgkMt4CCCLGYK5wtfVWVNe1oaq2lbuF1tS3Q6eXkBBnQkK8seuzpDANY0qzIj7i5LaVN/HPvWUN+PCLzfh+XTm+X7MHE8YW4apL5vZZOa69cgFOufBpHDNrBHIyC/psv8ThWb56P275+xL8YdF0XH3+ZAzKTzlUr90KLtkEQRBEVFFYmI0LLjwBl5w8GC2tNixftQvfrNyBex75nH9nPPHQuVgwZ2R/F5WIcchQJogw89mynVi/pQrVtcwobuPGcUubA1np8cjNSkJeViJysxIxuDCVyzytNidaWh08YAb7/5nX1/J0IscdNQzHzSnF+JE5hzWamTYyXIY1049+t2Y/13QW5CYjLcMYsK/N26uxel0Z9pc3co2n1WrHDwe1mGeedRTS08Ib9IPppK5ePBdPvLgCR0w+J+I7GKLJ9b62wco7fNjEOoJq6lpRU2/tms90vM/edQLv+OkL6NITyknCiViBngGRTUpyHE46bhyf3vpgHf56/4fITE/EvvLGmGoFZK+XT5FCJJWlP4liQ1kKDHwU8l0SpiBAwmA5YQo6FY4gREqyD6/KYxVp/fh8XY+DlLG88jILFKFWm6Y2+FkPBRtP/edHHHXEEPx64Tjk5qQgLyeZB/TpShkj0k91a6D27KvHF0u34rZ/LkNDoxXZWUlISbJwozA5OQ4pyRaupWTft++qxmdfb+HupSNL8zC8NBcjh+fx/wfnWnhKmJ4GuJLikvDS80vwwcc/ITHBgoqqJm4I5+emoiA/HQX5aXz6zQVzeKAkVqbWVhv27q/HkuVbse/Rj3DvHef2/NrKCst1W3/+UaPwxPMrsKPShpEjDmkFZWuzeP2+DPIlumclhf2HIwih6N7SEJSPdcJ8vnwnvv1xv88YPmgYOxxuZGUmIqdzykpEXnEuJk5J5vU1JysJWZlJMMWLO0rcltygec3OItUB3QySI/CQPF4caG+ClDYkaNmq9sBllQIm6XuhfTWpTAOVKAjWoxRwSBREKE0Wt3c6e/AxtLWKR++bBWJam9urqkwMp6tVddAoFqVczbJGg/j8saBmQQiqhix6bikGPFIIpuUKrodu2Rw0r8OdLly/si24DDXW9uD1HR7FVGeiDksRDqdHVTAvJS1k93z2DKVUZiz+hJrAX6Ll+L4E95eobouWUyori1vQHabxd7b4os37w+IYBO0/RI2oUuAzt1FWHcxLdH+JAt0pnhfBbKXDEi0rKpdB4RlptRylqs1LNNYK19enHgqyVl3diL8/vRSvPnUJJo0vDshM4Fs4eLuy6BkneJ555cg3lSnqdWQSxYYyMZDZX9HEdXlpKdoD1LjcsqbAvuGGGcZGox6jR+SiIK9naVWGDM7EVYuP4lNtfRuPzMvck9gLQEu7A61tNrS22nkwraKCdLz3ylUwmC3YvrOaT99+vxPPv7ICZeUNKC5IxYhhORgxLBsjhmZj5PB8HnxLBDOKvvtxDx57dhlcbg+mTyvFC68s578xI7it3c4fZrfedCpcLg8qDzTxaeu2A778iwdY8CEHN6TTUhPw1dIt+P3VxyEvN3zpZViZH/jHZ5g+dRhGDM8L235ikR9/rsBDT62ApJNw1gljkZudhJzMBG4UJyXGBY/cxImjI/cVLidFUYp13C6qA7GO1011YCDw8ouf4rQz5mLqpOAo8aHiEkTZJwg1kKFMRBxvfrQBjzy7ghs8LKrryGHZPP3JiGG5/JONTNVwbW8bTynEepUTE8xITrQgKckCq40F64nj6aEiweXqqouOxDlXvownXvy2a97rTy/CpLGFPdoeC3LBpi4UQnxLBjMyM5Iwa8ahHltHWwvXEG/fVYNtO2vx7eof+P+MEaU5GDE0ByPZ57Acnv7mH09/g4amDvzpqvnIykjE6o3VmD1zOFat3sWN5IQEMzf+hw/L5YZwAAd7K1j6nQPVzdyArm6wcYMqnDz5/FJU17Xizr+S23VvsXt/Ax5+ZiV2lzXiz5fNxsI5w4LvrQi41wiCIIjI5vuVq7H8m+9gbbfC0dHUFQ27uqoR7390P8vcjlhE9sp8ihQiqSz9CRnKRETx+nvr8Px/f8T/nrmI619r69uxdWcttu2qxWdLtuKRp5eivtHKjWU2mpWb5Ytay4y2NisbWXXA7TWguaUdzS1tiDMb+chnUqKZT8yYTuSf7LsF7VYH1m6o4MZjRloCsjMTfYZoFjNGmfuozyhlKWgy0wLzk6plwpgCPHz7KXjpv6uxYWsVn9fcoj5Cb2/C3K7ZKDKbTj7u4EydHvWN7dxg3r6rFt/+sAfPv7aKu9KyEewTF47tcoEaP2UkLls8T5NLutlsRMmgLD7BGJxqpzf55MuNePejdXj2n5dAryH3Z6yya2893vzw50O5e6takJkej8njCjF5bAFGDknHW59swtLv9+Lq3xyBf9xxIoyCXLUEQRAEIaK2qgpvfPSq74sMvPvmh7j8msVISU1GVordl285MQ6ZGSk8bRTaYthQ9kSOcUqGcpQbypLBxKdwJwQT6iM0oSG3m7f39YbwCFySPBqizx7UfzU2d2DHngbs2FfPjVWHMQl2uwtOhwt2NtldsDvdcLBPh5N/spFGu9198LuTBwMqHpSL5165C/kFSaw9RVY2kDUamMNV4g5xEbpV4/LyJj6ynJJiQUeHg+fwa23tQDtzT27rQFsry+nn+8zLNeK20+di2NBcNDdbUVPbglo2VTfw/7fvK0dtXSu276jCnFkjcPnF8zFsaHCKFjb66nK5ufHN8vl218L++tixaG61o7yqhbtNN7U5IRnNivlP5bgU1RpdWUE/7/IGb9drCb7ldZIbSSnA1BJg6rHB22G1obNG6CWXcH0RTk+wO7dLFo8muxA83+gN7kxI8W4Tri+7nfh5cwXuffhjvPivC5GSYEA70/V1d7kL16in6N5Sq30P1/6V7mU/zeaePTX4cvl23HbtfBTlp6AgJwnVde34aXMVftpUiTfeX4f5M4fg05cXI5GlS/qF45ISM4J3lZgdNK/eMUy4fmt7sDt+ZVuwrrDBJnaj7O5lzU5JQ20bKs1NqjSbIs2sSBuqpKUNl9xDpJkU5QhX0kaK9KVKOkyR7tUhcFlU0seKNJ9KiLSkQfETmMQjXqy9Fi0r0vgySYhIfy6iyX4onsHhdJxOwQutU+HZKdp/m82tqg4q1UOlZdVeL6VrpQ9Ro2wUaL9FWuJfmq8WJY1udzra7HA320Lav1rttZImX4RYEQ84DV5Vx6pUfIPgvdAsuC6MeMFxJQpyGqf452z3I9VUHrysexP/ZAMR36/ehX1l9Xj+qU8wfnQ+TwH18G0n4MhpLFaFF9B3DkCwtt4OtNYAer9398MgPCqdhng4BHEYqOYQmmCjjLv2N2DHnnrs2FOH7bvrsHNvPY85NHxIJkoHZ3BdcWJ6IswWEyxmIywWIx9VNMXFwWIx8f/ZJ5uvM6bAbDLBbDHCZPKPnqz0CDk87OHHNsO2lZBg4VNOjrImVufxPUDj483Izz8YjMUduP92qx3/e2sVLrn6WYwbU4grL1nAy7x85TYs/3Y7tm6rhMlk6HJHTku2IDUlDqnJcUhLjeefW3fWdB3fF0u24IyTJvf4GIlgbrn3Q6SnJWDl97sxYlg+8gop5+zhmDtjMG575GsMLU5DYZ6vc2ZQQSqfTls4imkYBnRVk/qys4KISCQFaQoRO1Ad6Fu27ajCG299j0+/3IBJ4wchPs6EXx09mnuyXXnRLPQHoXbK9AXkeh2ZkKEcI8ZtZXUzKiobUVbZhPLKZh5kyeF0w2LScx2w2WSAhX2aDbAY9TAfnM/mNbfYsWMvM4rreWqjIcXp3CgeMSQLc6YPwvCSTJ4qyB8pN3jUSBb0EopGHUPFYND3eqPIIjxfctFc/ObcWXj3gzW47pY3oNdLmDNrJK66dAGmTi7hHQBMV93WZkdTVTWaWzvQ1GxDc6uNu1qzEZDiokwUFaThonNn9Gr5CODfj/4GP/1chnUbK/Dpkm2orG5HcUESJo4rxuQJgzBxXBEykga24RcqB2pasWrNPmzZWYutu+qwY289stIT0NBs6zKUowmd2sj3RNSiF2UVIGIKSU91oK/YsH4rLrvw0a7v3yzf2vX/p19v4QMJF541DX2N0TgAOsyYp5PA26nfiKSy9CNkKEcpbrcXn369Gc/95zuUVTSiIC8VhfmpKMpP459HTBnE02s47A7uwsWMaeYizVJLdM6zNnXw74mJJhw3dwSuvWQWivNTA0P2K6TeiFbYqPE5Z87gkwg2YszSNSXp01CM4FHsLndrotdhevJfHTOGT23tLjRbZdTWN2Ldz2V496OfcOu97/I6P3FsISaOK+TB1IYPzVZMXRKNvP7+z3j2tdUYNSwLN10zF2OGZyMhzhQ+v2GCIAgiZlj/02ZMnzoEE8YW+7Jx8IwcNrQ0t/MsHanJ4Y1TQhC9TfQaykz36a/91OKCJ8xtLH6RlNRqlHvjRVRklHYzvJju9+0PVuO5l5djcHEGbr7+FEyfMkQx+rMod6nNk6Koee2eJdPhSRYvawstsrEs0G5LwuTMwbrZBnsdEvQG2IyBo9Uifa3SdiUpeJ5ep359iE8LPLK6W07nFB+rV6BR1itohEXHYJSCdVoW1AvX9+iCR/sleBRd17sTpw/WlCvWCpFWvpv7+y/qY7vpvCXmEeFxY+qkEj4x2Gh/RWUTftqwH+s3lOGtj35GeUUjxowq4DkbmYvYhHFFh6J3a+kE0hCrQG3eR9/CKsugoI2sMxZj185K7ORTBXbtbOQSB9aJED/kCBhKirjyXyk3sdtrUq2JF3mHtLfGqcrL69uXW5UuL0kh37Cjm47S6/XCZtQhzhy8vM2hTvOqpOMUaXxdCu2TU3AvK2mfhfsS5JUV7Z91jgrXF2hpdQp6RdGycojPLi1B9USdVkrnqqU9uH0wmQTtY1sHGnStqjSnSp5IoXamia6NSCdvVdDf2wTaa8U8yoL5ov1ryqOscPxK2uVQ9qVWN60Fj9UJR6tD1f6VymQWjEiKjp9544kQacpDrW9KGm1R7nHmPShC1B6LcjaL5jES0wLfQffuPYAzTpuJU0+ZHrigo0O4PvQazBD/uEO/hKjNMkW+gU6u15FJ9BrKAxAWzIq9zLNRS61pjdrb7Xj9zVV4+bWV/KX/Hw9egLGje5Z+iCCiEXZPFRWm8+mUEybxeSzH84ZNFVi/sQyvvfk9brjtTW4oMzft3OxknsubBYZLTorj/08YW8T1VpEG66nfta+Bu1KzTxY3gE06owmlpQUYNqwA48aV4PTTj0LxkCFITOxZBPeBR+Tr0giCIKKFfXvKcOGZoxBpDIQnAYt4HVFRryOoLP0JGcoRAouafOJZj3A9KzOY4yxGJMSbuZ6j6zPOhIQEk+97vBnx8SYkJCWgvr4Nb723GnNnj8SLz1yJoYMzEcvwkPaCURgidmCXX2kUwx92H82cPpRPvvVk7N1fj583lqGuvpVHKN9f0Yi2NhsaGq3YtacW5505HRecNYMHaesvWJne+3QjNm2rxs69dbDZXCgtycCwwZn8c+GcUh5YL2XkdFXR0KOV0LMSEAMdqgNEuLKeEMGMnTAaf77uJfz2yuNw2qnTecyY7nz/427ces+7/B02Pt7S9Y7L32m7/vd79+2cn5zom8/nWfj/RpUeK1oi8hNETBjKH3y8FsNL83kqn/Q0FoY+MmGpK8oqGvDG2z9g2uQSPHDn2T6XQbsLVquDj3h1dDj5J0vKzj+tB793OFBV3cRdKd/6z7XIzzuoiY3xh4Lb7YbXGzu6UyIYZiS73XKPRp2HDM7ik8j1mrlqP/+fb/Grsx7FgjkjkZWRxIPexfFAeL4I775I72yekUdGZ51e7DffJwuQx4LlGXgaMS243B58vWIH/vfeT9i1rx6n/mocFp0zDaVDspCdYhJ6ocR2SwB4XWJXViJ2kLuniCNiDllLyksiJP5w3dU49+QheOSfH+HfLy7BH675FY4/biJkjxctrTY0NVuxZ18dN3AfuuscntLNarUffKd1+r33OlBX13roHdjqQAd/L7b7/j/4Dsye9T6Du9OwZoZ3p8HNjGn2vwVmS+8Hju1tyPU6MolaQ/mnzfX4/Jud2LWrgn8fOqwAQ4cWoKg4BxazCUajgfd0mUx6fsOy753zDMaDv7P5hoPzjRYY/Jbp/NQJdKAiWlrt2Lf3APbuqeQajn17DvDPmuoGFBRm8bL93/UXwxHny0VqSABSMoCUw2hR/XWona/1XgUdrEcOjvwoCTSQ8YbgvKM+gufLcrVwSbccHLRKpINUKqtIi6tEd82kWd8O4GCaJz/sCnpqURncgt5HkVbQN191UYXb0JIfUbQvt4KG0CLoyTXpg693YUJgzudO9LLjsDmrfQuKI4q6BTmTRdpzhiTIe6gza3jBNSUFltNlg9fjgidBOS3Y4eqAKD90/qgC3HDndFz2hxYs+epH3nnF8oC3Wt2wNzjgsLfBzoLh2Z1wOaz80ze5uv53OHzfGXFxvnRpcSxtGjeqD36PYwY3S69m4MY3Y8myzRhRmofzLjwW8+ePV9WTrpeD9eOSzqMqPzefL9CEu2X1mlOTSg2jklbOIMq1q7jNwPW9kgSjXie8D9SirFfUq86fate7VWlp7QIdqqIeWnSuFM6LWo0zwy3oWnG51euhRThagnNhM0QdRZIGzahIZy3SdhrarZBdzap12v2ZbkbpuniEebvV6+fVeNf0RKMsSrskOq8i7bvSsmrL9EvzuyO7PZBVaoRF+l6lOi+6j5XeE4TPeaXjcqk7Lta+iXB71Le7Iu2yqI1VyqMsiv1SPHomHnlqJtat3YLHHnkVf7ntv/B4PEhJSURqWiLS0pIwa84UDB43BW6vWfV7glcwn23XZnOgw2qD1WqDrcMOm7UDHR1237wOG//fLshbTvQu9913H9555x1s27YNcXFxOPLII/HAAw9gxIgRXctceeWV+Oqrr3DgwAEkJiZ2LTNy5MiuZcrKynD11Vfjm2++4cssWrSIb9tg6B+TNWoN5Rv/shjJyb6R5KamVuzZVcaN5sqKOrhcbj65D37y/92erv/ZKG/wvM51Ds1jvzM6DWf/iRvZRgOPEF1b08SXLRlagJKSfD5NOnM+SkoKUFCQLnRNIQgicsnISMFZ5xzzi4a2RS/ugNDJviBEHo/3oOHs4g/3Qwa1ixvTzJ3aYbPDxoxulweXXbyApxfrHsCPIAiCICKNSVNG47lX7uHPt9REj+bYO2rQ6/U85oZ/3A2doMNv7ZodiHjYoEckZaDQWJZly5bhmmuuwbRp07hn580334yFCxdiyxaWFsw3UDZlyhRccMEFKC4uRmNjI26//Xa+zN69e/m1ZB0fv/71r5Gbm4vvvvsOVVVVuOiii2A0GnHvvfeiP4haQ9mftLRkTJ02ik/dEY0Ii0YzlSK9Qj5kUHc3ojv/z8xKRWpaqrCREEURJggi+mGdaNxNLMECKOmdyWUwREiXRhAxDzUD/QZ7741PiIMkWfu3Gg6AuDXc9TqCAmjxeD8AWlsDswaYzWY+deezzz4L+P7iiy8iOzsba9euxZw5c/i8K664ouv3wYMH4+6778aECROwb98+DB06FF988QU3rNmoc05ODiZOnIi77roLN9xwAzeqTaa+D6ZKQs5eaATYyDELSJCckoCMzBTk5mWgsCgbJUPyMXxEMdLTk8PSk0YoXBPmzkTnO6Zhl1/kxknEFpKWtIBEdEJ1gKA6EPOEQyoRKxQVFSElJaVrYm7QamhpaeGf6enBUkiG1WrFCy+8gJKSEr4PxqpVqzBu3DhuJHdy3HHHcWN98+bN6A9iYkSZiC2YjkFroCQi+h6KoeY+JQY+emPkpfIi+hgdvebEPFpy9RJRidEU+XUgUoN5lZeXIzn5UIwf0Whyd1hQ4j/+8Y+YNWsWxo4dG/DbE088geuvv54byky//OWXX3aNFFdXVwcYyYzO7+y3/iDya04voeQ67fYaVa6vFFzApDowTqj4B+7qyb6EwcAEx+XwhK6B9Ag0m6KySopxeTUE8+q2XVlmR+Xhkz8GKTg4FUMc4kGvKsAXw+EJPgangvuMUuAttQGLRPMTFII6GXXBZRCdgwb7MIX1bap0t6LllOqrDuoDdCnKHVTUAS8PUudRLXUw6NSXyyQKhiUoa6cWOQhBNG3oFI5VEChNFFDNIwiex7B5UoPXF9ybSsHzRMellF5KNN8pvDfE94AoCI4omJdXVgiAIwWW1euVYNZLiFPZYSIKtuN0ictqU2g11AbccQnOgdnoUR1EyCM4V06nuKxuwb5EwcCU8Hr06oOBCc6XUqdlZ4yPwH2FFjhMhMlhhbMt0HWQIXoh1SvUFbXBsDwKZWWyLDXnxWBUCpqlIRCUaFm9lvWDy+DUMBqndv8MtZ2ZSmVVG0wMHi8kwX1gELxnKN0betFxuYPn6RUCvJoEz2ml4xK1GcJAdQrvCUnxRtXBuJIF80XvOhaFa5VgqA8ul8I7gQi94J1E6dkveocUvWsK96Ph3aNf8ygL3tv6i0438OTk5ABDWQ1Mq7xp0yasXLky6DemUT722GO5/vhvf/sbzj77bHz77bewWCyIRGjIhSAIgiAIgiAIggiJ3/3ud/joo4941OrCwsKg35n7dmlpKdctv/XWWzxK9rvvvst/Y0G8ampqApbv/M5+6w/IUCYIgiCiFNKlEQRB7QAhDRjX60iatCDLMjeSmdG7ZMkSrj1Wsw6bHA6fZ8HMmTOxceNG1NbWdi3DXLPZiPbo0aPRH8SM6zURO3TeeERsQ3WAkOUISrVB9AsShTwmqB2IebwDoQ4wV2ddBJVTYwTua665Bq+99href/99JCUldWmK2Qgyy6u8Z88e/Pe//+XpoLKyslBRUYH777+f/3bCCSfwZdlvzCC+8MIL8eCDD/Jt3HLLLXzbarTR4SBqDWWTzgr/XPBa9I4ilLTAIu2yRzaGtL4oqbrSNkTHpaTDdAt0jFo0zsKyKqwv0kOr3aaWtF0iLazH7QJkF3QqyyDSbBoEAWDcXnGPpKjTTaS39G03+BhMAk2VUYMmTGlfas+3qF74NqxufZcs1iOJchkqXRO95FKlc5K86q6p5LHB67RD7w28ji4pRbi8za1Oy6ukqYrTtwSvL4kDSdkRvC+rM1O4rNtrVnW9lMqqpKsPXl+8nGh1JZ29ze1WpUdWKpPafbmU9LHd5steL1o77DA4BOUSaGkdAh2pSN+rFZEO0Si4j0S6RKVr4xGcA6eCxtnmCJ5vUbrlRds1B69vc4ifp07Bvth1ECHSHos0zkr6YNFoBwsg0x2jV4YU17+vOiLdr5ao/KI6pFY3rWWbvYGSzloteoM+pG2KjkuWPCEfr1B73YeRlLXsy2oPbvPcCkaPVdDuJQkCX9V1iDW+LY7gUb7cBLvqWCaJhkA3W4ZZblTd4WFQGdtDdgXHKSB6lyeffJJ/zps3L2A+i2y9ePFirkFesWIFHn30UTQ1NfEgXcz9muVLZmmk+KXT67nb9tVXX81Hl1n+5UWLFuHOO+/st8sVtYYyQRAEQRAEQRBEpBOpUa97y4svPz8fn3zyyWG3M2jQIFXL9RVkKBMEQRAEQRAEQfQTkRr1OtahYF4EQRBElEIPeoKIeagZIKgOED0kakeUK6xTkKT3S5Ctb1Od+7N7/l2GSW9V1EKryTVrNoj1EZJAcyHKk8qXFeh2tazvFWinhfmOFfTcSjpItYi0lU5PQkjaTFG57F433M54eByBed+UvEhEeZC9sku1tlKkw1T2WAn+QScJ8lYq9OSJ9IomvcLOTAL9uqQubzjDJdCEi66BXiGvrihHtqgO+5YV6yt7Spu7HW0eF+JcPt2L1jr0S/p9r+D+aBWUXxSrgOESaN2VNMKiOifS6Irqq9L6IpQW05IHWXQfqd2mEmrLz5d1B2uU7U4v2gTaOqdAl6dF86lWN6y4fpiWFSFKY6wynfvB9SXV+Vt1ceq1tH0VlsXbEA+kJfb+diPIRbIniHJW/1LO477S12rRAotyn4uW9RgNqvMYi7aplMdYIUW46jZDKUe4qG6Jcq+LcjsrHYNSvAVrsJwYLfrgNjPOLH4vtAg05bXW4BPj8IjfE7LihwfNMygcV6PNpSq/c15icOtS7RDvP5IY6K7X0UrUGspE7KI3GCBpeYIRUYek18EgeIATsYXOoL5jiIhSBIEZidhC0lMdiHWMpgHwLGCGciS5O5OhzCFrgiAIgiAIgiAIgiD8oG42giAIgiAIgiCI/oJpYrToYsJNJJWlHyFDmSAIgohS+i7PKRGhKGhOiViC6gAhDYyo11LkuF5HlBt4PxK1hvLX22sRl2g7fDAInV1VoBKjIGAAw2JKCd6mFDzPoKCZdQt6bJRkAUmC4EzxggAVSut3CALYiE6L0vqiIEJaAlfECc6h0nkRb9MpnO/wBF7D9kYr9GYvzM7AbSvFE9ELXqTEAZPUH79SQBCjoBCigEVKwSxEs5UCHrU43IJ5oiWVtLzq6pZOMod8XkTHoOXe6H5e7FYjHLYONBoTQyqXCK/sDqm+hoqWeig6r6L1tdzzSvtXu123UqA6le2LKKiNCBbMSxYEO1QKzCNCKdiOTvjSFVrvu1JgHhGiwGFK509UtxWvoXC7wefKohDYRzQAEa7AZWrvA7dNB0OCKaR7vq/Qcm/3Jf0duCzUYF4ugwSj2mBeGgSJoncHJRyC9y+jQlA8UWxL0TVQasdEy+rsGgKqqTyviutrWLZSw7Jq2SKY11je2Ov7IWKDqDWUidjF63ZDZyKXkVjG6/XyekDENl63OBo4EUN4qB2IeTzUDsQ68gB4FlDU6ygL5tXW1oY//vGPGDRoEOLi4nDkkUfixx9/7PpdlmXceuutyMvL478fc8wx2LlzZ8A2Vq1ahYkTJ2Lw4MF47rnnAn5btmwZFixYgPT0dMTHx6O0tBSLFi2C0xmeURqCIAiCIAiCIIh+cb2OsIkIwVC+7LLL8OWXX+KVV17Bxo0bsXDhQm4MV1ZW8t8ffPBB/POf/8RTTz2FH374AQkJCTjuuONgtx9yk7300kvx17/+Fa+99hruu+8+lJeX8/lbtmzB8ccfj6lTp2L58uV8+4899hhMJhM8nt7Nt0oQBEEQBEEQBEEQIbte22w2vP3223j//fcxZ84cPu/222/Hhx9+iCeffBJ33XUXHn30Udxyyy045ZRT+O8vv/wycnJy8N577+Hcc8/l86xWKyZPnozs7GykpaXxUWrGF198gdzcXG5sdzJ06FBuPKvF5fXC4K9lI/s6ZnAwjbIVMFgjT4NG9A3ujnZ47FaYHXF0ymMUplG22V2QOgaGF5JId6wF5Tgcsd0OWjtMSEijdiCWsbYZkZCsPpYGMXDavYGis1cFRb2OnhFlt9vNR3YtFkvAfOZivXLlSuzduxfV1dV8hLmTlJQUHHHEEdzduhPmmj1q1Cj+24wZMzB69Gg+nxnJVVVVfDSZIDQj6SjIZawjHawHRGyjJTIPEZVIVAdiHqoDxEB4FvS3mzW5XovpUc1JSkrCzJkz+cjxgQMHuNH86quvciOYGbjMSGawEWR/2PfO3zpdrxsaGlBXV8ddqzs566yzcN5552Hu3Llc43zaaafhX//6F1pbW3tSXCLGkPR6SGQkxTTs+rN6QMQ2Or2xv4tA9DOSnmKWxjpUBwh6FhA9pcdPEKZNvuSSS1BQUAC9Xs9dqJlxu3btWk3bYdplNvnDtvfCCy/g7rvvxpIlS7jG+d5778UDDzyA1atXc+NZCRZEjGFra+Wud0Ts4Wprhd7khM4V+VEOifDgtdvgcdrhlshYjlVY+++0tsFraenvohD9iN3aDrmN6kAsQ3WAsFnbAmyESMTttkVU+TzdUq/GKpIc4lVhOmM20suM13POOQft7e18dJhpitetW8ejWnfCRojZ93/84x+a99PU1IThw4fjt7/9Le644w7F5SoqKlBUVNTj4yEIgiAIgiAIIrpgQYMLCwsRSbAgxyUlJQEet5FCbm4ul9N2l9rGEiH7JHWOCDND9vPPP+cBuNgFZyf366+/7jKUmTHNRoavvvrqHu2HBftixjgzzH+J/Px8fiMw93BJQzJ4giAIgiAIgiCiCzYmyAIGMxsh0mBGKDNGIzH9rclkimkjOSRDmRnFrOKNGDECu3btwnXXXYeRI0fi4osv5gYqy7HMXKdZ/mNmOLM0UKyCnnrqqYfd9tNPP43169dzbTIbmWa9LSxq9ubNmwO0zCJ0Ol3E9RYRBEEQBEEQBNE/sMDBkQozRmPdII06Q7mlpQU33XQTd3VOT0/HGWecgXvuuQdGoy94yvXXX89Hf6+44go0Nzdj9uzZ+Oyzz1RVhOnTp/Po2VdddRUPFpaYmIgxY8bw1FLMfZsgCIIgCIIgCIIgIlajTBAEQRAEQRAEQRDRROQnFiMIgiAIgiAIgiCIPoQMZYIgCIIgCIIgCILwgwxlgiAIgiAIgiAIgvCDDGWCIAiCIAiCIAiC8IMMZYIgCIIgCIIgCIIYCIYyy5eck5MDvV7P8zKzVFT+VFdXY/z48V2/m81mnH/++QHLsLRU48aN47mV2TIFBQXYtGlTwDJ/+ctfeEJtNt166619cmzEIZYvX46TTjqJ59hm14ilAOvE5XLhhhtu4NcwISGBL3PRRRfxlGH+NDY24oILLkBycjJSU1Nx6aWXor29PWCZZ599FoMGDcKkSZPwww8/8HlsGZbO7I033ghY9txzz+Vl2bdvX8D8wYMH83zgRPiprKzEb37zG2RkZCAuLo7XgTVr1nT9zoL1s/s1Ly+P/37MMcdg586dAdtYtWoVJk6cyK/bc8891zV/xowZPPWcP0899RS/5i+++GLA/MWLF+Ooo44K23ESvcvjjz/OrzdLQ3jEEUdg9erVXb9t374ds2bNQmFhIe6++2469QOMcLYJDHb/i6buzwciNt4PGEuXLlWsF+wdlOhbyC4g+gU5QrnjjjvkWbNmyddffz1LXyXfeOONAb+PHDlSNhgM8iOPPCKvWLFCvuCCC/hyN998c9cyo0ePlvV6vfy3v/1NfuWVV+TExEQ5KSmp6/eWlhb++wMPPCDfd999/P+2trY+Pc5Y55NPPpH/8pe/yO+88w6/fu+++27Xb83NzfIxxxwj//e//5W3bdsmr1q1Sp4+fbo8ZcqUgG0cf/zx8oQJE+Tvv/+e14Vhw4bJ5513Xtfv+/fv5/O+++47+c0335RHjRrV9duMGTPkK6+8MmB7OTk5clFRkfzCCy90zduzZw8v35IlS8J0JohOGhsb5UGDBsmLFy+Wf/jhB37uP//8c3nXrl1dy9x///1ySkqK/N5778k///yzfPLJJ8slJSWyzWbrWoZd57feekv+9ttv5aFDh8plZWV8PmtLRowYEXDCzz77bH7NFy1aFDCflePWW2+lizMAeOONN2STySQ///zz8ubNm+XLL79cTk1NlWtqavjvrC154okn5DVr1shTp07l9YIYGIS7TWCw9p21+VVVVQGT//pEbL0ffPPNN3y/27dvD6oXHo+nj84C0QnZBUR/ELGGsj8iQ9lsNssLFiwImBcXF8eN687Gj6335z//uev3jz/+mM979tln+ffy8nJuHLNGlk3M8K6srOyTYyKC6f4gFLF69Wq+HLu+jC1btvDvP/74Y9cyn376qSxJUte13LhxI38xbm9v5y9YgwcP7lr2pptuCjCa2PbYy9a9994bYDSxl29W5+ilKfzccMMN8uzZsxV/93q9cm5urvzQQw8FvDSx6/P66693zSsuLubXm113dv2Z8cRgL9iszrCXHf/Okccff5y/jHfvHGEvS0Tkw16Sr7nmmq7v7EU2Pz+fd4Iy2As0M7KcTic3otjzgBgYhLtNUPv8IWLr/aDTUG5qagrbcRE9g+wCoq+IWNfrw1FSUoLvv/+eu155vV78/e9/h81mwznnnMN/f/PNN/nntdde27XOCSecwF21P/roI/6dueAxt8qRI0fy6dhjj+XuO0Tk0tLSwt2emAtVpysd+3/q1KldyzCXO+Zu3+lCNXbsWO6mn5KSgjFjxgS4Xc6fP5+7ZFZVVfHv33zzDWbPno0FCxZwt6tO2PyZM2dyl04ivHzwwQf8ep511lnIzs7m7nDMNa6TvXv3crc3dp07YdeWudqy+tAJc8McNWoU/425W48ePZrPZ+63zOWeXVPGli1beNvBXPIaGhr49juvObve7LoTkY3T6cTatWsD6gRrA9j3zjpx55138u/x8fH8t+OOO64fS0xEUptARAe9/X5ADCzILiDCgQEDFNbIsYfltGnTuuZdfvnl+P3vf8//37NnD/9kuhN/2Itvp1HU+TJcVlYGg8FARnKEY7fbuSbpvPPO43ojBns5Yi9O/rBrmZ6eHqAhYnq0Bx98kL8kM/1aJ8xoYvp0ZhSz7bLPuXPnYsqUKaivr+cvYKzxXbZsGTekiPDD7t0nn3wSf/7zn3HzzTfjxx9/5B1e7DotWrSo67qyGAb+sO/+15xdL6Y3Z0ZUWlpa13ymZ5s+fXrANWedIyzOwZFHHsm/s2vOPpmRzOYTkQ27Vz0ej7BObNu2raujtK6uDq2trcjKyuqnkhKR2CZ0wtoD1pnuD+tIKy4upgsXg+8HnbBBFX/Ye+XmzZvDdixEzyC7gAgHA9ZQZoG7ysvLccstt2DChAn473//y3uYhw0bhuuvv17TtughGPmwwB1nn302D9jCXph6AgsC0x32YGSdLZ1GEzOIr7vuOv4w7TSa2D5ZZwobfSbCD/MQYSMA9957L//OOsRYED4WcIu9FGuBGcVs6s68efO6vE7YNWbfGayThH2/+OKL+SfrfCOiB9bpQUbywKMv2gTGI488EjAqzSAvs9h9P+hkxYoVSEpK6vrOPJKIyIPsAiIcDEjXaxbF8OOPP+Y9y3fddRfOPPNM/tI7fPhw3ivIGDJkCP/cv39/UK8ji4pJDLyHILuWX375ZVdvMSM3Nxe1tbUBy7vdbl5H2G9qYAYw8yxgPcTMBXfy5MldRhObzyZmUDM3PiL8sPuzu0skc5dknRWMzutaU1MTsAz7ruWa79ixg0fS7fQi8DeUd+/ezTvimAs+EflkZmbykcBQ6gQR221C53ZYZ7v/xDpNidh9P2AwDyP/OtHdU5Hof8guIMLFgDSUOzo6+CfTmfjDvvs0/uBaJsa//vWvrt8//fRT7p534okn9ml5idAfgizNx1dffRXU68tcY1kaMKZP7GTJkiV8BEKtYcuMJrb91157jbvgdrrezZkzh48wM8Op00WbCD/sXDPduD/MqO18OWEvLewl5+uvv+76nbnTMrcrtXpi5i3ArucTTzzBO8+Yqz2DeRcw99znn3++y0WbiHzYtWTX0L9OsDaAfSeN+cCnL9oEYuDRF+8HxMCA7AIibMgRCotIy9J9sIkV85RTTuH/sxD+DBaZmEW0ZOmhli1bJl966aV8uXPPPTcoPdTDDz/clR6KTUTkwNJxrVu3jk/s+v3973/n/7OolZ3RaQsLC+X169cHpGZwOBwB6R8mTZrEI9quXLlSLi0tDUj/cDhYJGtWl1jqMJZipBO73S5bLBY+n0XBJvoGFrmURaC/55575J07d8r/+c9/5Pj4ePnVV1/tWoZdJ5b65/3335c3bNjA24fuqWAOx5w5c/i1ZfXHn/nz5/P5Cxcu7NXjIsILez6w+/jFF1/k0W6vuOIKXkeqq6vp1A9w+qJNUEoPxaIhE7H5fvBL6aHY/om+hewCoj+IWEOZGcCsgeo+sdyHDJYnkeW+0+l0fD7Ln8kaTf/cdiyk/9ixY3kqALZMXl4eX4+IHDofRN0nlppp7969wt+6p+xpaGjgDz7WCZKcnCxffPHFmvNhz507l2+X5Vr0Z968eXw+y9FI9B0ffvghv3eZ4cNypj/zzDNB6WD++te/8rRObJmjjz6av8xo4bbbbuPX1r9zhHH77bfz+Z1phYiBw2OPPcZTALHnAUsX1f1+JgYu4W4TlJ411A7E7vuB0v7pnaB/ILuA6A8k9id849UEQRAEQRAEQRAEMbAYkBplgiAIgiAIgiAIgggXZCgTBEEQBEEQBEEQhB9kKBMEQRAEQRAEQRCEH2QoEwRBEARBEARBEIQfZCgTBEEQBEEQBEEQhB9kKBMEQRAEQRAEQRCEH2QoEwRBEARBEARBEIQfZCgTBEEQBEEQBEEQhB9kKBMEQRAEQRAEQRCEH2QoEwRBEARBEARBEIQfZCgTBEEQBEEQBEEQBA7x/wHOdyuIYZynCAAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 1100x540 with 2 Axes>"
       ]
@@ -1874,7 +1890,8 @@
     "map_plot.drawmeridians(np.arange(-180, 181, 60), labels=[0, 0, 0, 1], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
     "colorbar = map_plot.colorbar(mesh, location=\"right\", pad=\"5%\")\n",
     "colorbar.set_label(\"K\")\n",
-    "ax.set_title(\"CMIP7 tas at 2 m, first month\")\n",
+    "time_label = month_year_label(ds[\"time\"])\n",
+    "ax.set_title(f\"CMIP7 tas at 2 m, {time_label}\")\n",
     "plt.show()\n"
    ]
   }
diff --git a/notebooks/03_pressure_level_air_temperature.ipynb b/notebooks/03_pressure_level_air_temperature.ipynb
index a3a717be..63dd8cce 100644
--- a/notebooks/03_pressure_level_air_temperature.ipynb
+++ b/notebooks/03_pressure_level_air_temperature.ipynb
@@ -14,10 +14,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T19:00:06.115780Z",
-     "iopub.status.busy": "2026-05-30T19:00:06.115608Z",
-     "iopub.status.idle": "2026-05-30T19:00:07.032842Z",
-     "shell.execute_reply": "2026-05-30T19:00:07.032434Z"
+     "iopub.execute_input": "2026-05-31T18:59:20.165379Z",
+     "iopub.status.busy": "2026-05-31T18:59:20.165176Z",
+     "iopub.status.idle": "2026-05-31T18:59:20.716009Z",
+     "shell.execute_reply": "2026-05-31T18:59:20.715495Z"
     }
    },
    "outputs": [
@@ -31,6 +31,7 @@
    ],
    "source": [
     "from pathlib import Path\n",
+    "import calendar\n",
     "import json\n",
     "import shutil\n",
     "\n",
@@ -51,6 +52,21 @@
     "if not DATA_PATH.exists():\n",
     "    raise FileNotFoundError(f\"Source data file not found: {DATA_PATH}\")\n",
     "\n",
+    "\n",
+    "\n",
+    "def month_year_label(time_coord):\n",
+    "    decoded_time = xr.coding.times.decode_cf_datetime(\n",
+    "        time_coord.values[:1],\n",
+    "        time_coord.attrs[\"units\"],\n",
+    "        calendar=time_coord.attrs.get(\"calendar\", \"standard\"),\n",
+    "    )[0]\n",
+    "    if hasattr(decoded_time, \"strftime\"):\n",
+    "        return decoded_time.strftime(\"%B %Y\")\n",
+    "    date_text = np.datetime_as_string(decoded_time, unit=\"D\")\n",
+    "    year, month = date_text.split(\"-\")[:2]\n",
+    "    return f\"{calendar.month_name[int(month)]} {year}\"\n",
+    "\n",
+    "\n",
     "print(f\"Using CMIP7 tables from {TABLES_DIR}\")\n"
    ]
   },
@@ -59,10 +75,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T19:00:07.048983Z",
-     "iopub.status.busy": "2026-05-30T19:00:07.048797Z",
-     "iopub.status.idle": "2026-05-30T19:00:07.213550Z",
-     "shell.execute_reply": "2026-05-30T19:00:07.213140Z"
+     "iopub.execute_input": "2026-05-31T18:59:20.717796Z",
+     "iopub.status.busy": "2026-05-31T18:59:20.717593Z",
+     "iopub.status.idle": "2026-05-31T18:59:20.905520Z",
+     "shell.execute_reply": "2026-05-31T18:59:20.905078Z"
     }
    },
    "outputs": [
@@ -675,7 +691,7 @@
        "    variant_label:          r1i1p1f1\n",
        "    version:                v20250810\n",
        "    license:                CMIP6 model data produced by E3SM-Project is lice...\n",
-       "    cmor_version:           3.11.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-acf25fc1-76b7-4ca7-80ef-fb9586e1e759' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-acf25fc1-76b7-4ca7-80ef-fb9586e1e759' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 180</li><li><span class='xr-has-index'>lon</span>: 360</li><li><span class='xr-has-index'>plev</span>: 19</li></ul></div></li><li class='xr-section-item'><input id='section-766ea4a1-d0dc-4bb6-8251-65980ab43ec5' class='xr-section-summary-in' type='checkbox' checked /><label for='section-766ea4a1-d0dc-4bb6-8251-65980ab43ec5' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.316e+03 7.345e+03</div><input id='attrs-b35eaee1-c300-4858-b997-e4df07909ab1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b35eaee1-c300-4858-b997-e4df07909ab1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5894a83-09ca-492f-a019-b33366106416' class='xr-var-data-in' type='checkbox'><label for='data-a5894a83-09ca-492f-a019-b33366106416' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-01-01 00:00:00</dd><dt><span>calendar :</span></dt><dd>noleap</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([7315.5, 7345. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.5 -88.5 -87.5 ... 88.5 89.5</div><input id='attrs-88daab48-919f-431a-98fa-866b15c8dcfc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88daab48-919f-431a-98fa-866b15c8dcfc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a37f156d-56a5-448b-8215-9487f3d584c1' class='xr-var-data-in' type='checkbox'><label for='data-a37f156d-56a5-448b-8215-9487f3d584c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
+       "    cmor_version:           3.11.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e3d72b7b-4cb1-4b12-a2e6-9789ea3b3f80' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-e3d72b7b-4cb1-4b12-a2e6-9789ea3b3f80' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 180</li><li><span class='xr-has-index'>lon</span>: 360</li><li><span class='xr-has-index'>plev</span>: 19</li></ul></div></li><li class='xr-section-item'><input id='section-9bea6188-bedb-4716-9e2a-476db7543187' class='xr-section-summary-in' type='checkbox' checked /><label for='section-9bea6188-bedb-4716-9e2a-476db7543187' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.316e+03 7.345e+03</div><input id='attrs-d47ab5c5-06b2-4cb6-a7df-601a7e1e917b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d47ab5c5-06b2-4cb6-a7df-601a7e1e917b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-187f0656-54bc-443c-9ca7-9d61bf6acd76' class='xr-var-data-in' type='checkbox'><label for='data-187f0656-54bc-443c-9ca7-9d61bf6acd76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-01-01 00:00:00</dd><dt><span>calendar :</span></dt><dd>noleap</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([7315.5, 7345. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.5 -88.5 -87.5 ... 88.5 89.5</div><input id='attrs-c51a072a-69ad-4cf1-b1b6-efb1375cfa7a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c51a072a-69ad-4cf1-b1b6-efb1375cfa7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3af35fa8-cfb7-4597-bdaf-eec7c63e79f1' class='xr-var-data-in' type='checkbox'><label for='data-3af35fa8-cfb7-4597-bdaf-eec7c63e79f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
        "       -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,\n",
        "       -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5,\n",
        "       -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5,\n",
@@ -692,10 +708,10 @@
        "        50.5,  51.5,  52.5,  53.5,  54.5,  55.5,  56.5,  57.5,  58.5,  59.5,\n",
        "        60.5,  61.5,  62.5,  63.5,  64.5,  65.5,  66.5,  67.5,  68.5,  69.5,\n",
        "        70.5,  71.5,  72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,\n",
-       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5 1.5 2.5 ... 357.5 358.5 359.5</div><input id='attrs-23aa82c5-0a6f-4bdd-803a-5d2fa8ebfe72' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23aa82c5-0a6f-4bdd-803a-5d2fa8ebfe72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-195b6bb7-71a8-4a4c-a516-ed456b4a6f6b' class='xr-var-data-in' type='checkbox'><label for='data-195b6bb7-71a8-4a4c-a516-ed456b4a6f6b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.5,   1.5,   2.5, ..., 357.5, 358.5, 359.5], shape=(360,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>plev</span></div><div class='xr-var-dims'>(plev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05 9.25e+04 ... 500.0 100.0</div><input id='attrs-b9722f16-583f-4428-95a7-3f60999851e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9722f16-583f-4428-95a7-3f60999851e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d96c1fa1-99e4-41bc-b873-312a37cecbda' class='xr-var-data-in' type='checkbox'><label for='data-d96c1fa1-99e4-41bc-b873-312a37cecbda' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>pressure</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd></dl></div><div class='xr-var-data'><pre>array([100000.,  92500.,  85000.,  70000.,  60000.,  50000.,  40000.,  30000.,\n",
+       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5 1.5 2.5 ... 357.5 358.5 359.5</div><input id='attrs-db911dad-01e4-4569-ae29-25fbf72de7f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db911dad-01e4-4569-ae29-25fbf72de7f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3adda00-e069-4b5b-b650-dcd4e4eba2f8' class='xr-var-data-in' type='checkbox'><label for='data-c3adda00-e069-4b5b-b650-dcd4e4eba2f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.5,   1.5,   2.5, ..., 357.5, 358.5, 359.5], shape=(360,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>plev</span></div><div class='xr-var-dims'>(plev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05 9.25e+04 ... 500.0 100.0</div><input id='attrs-f718cffd-a36d-4f78-9888-36722ccbc5c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f718cffd-a36d-4f78-9888-36722ccbc5c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba879c58-1e16-40bb-9fb9-97ad7a9e3f7e' class='xr-var-data-in' type='checkbox'><label for='data-ba879c58-1e16-40bb-9fb9-97ad7a9e3f7e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>pressure</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd></dl></div><div class='xr-var-data'><pre>array([100000.,  92500.,  85000.,  70000.,  60000.,  50000.,  40000.,  30000.,\n",
        "        25000.,  20000.,  15000.,  10000.,   7000.,   5000.,   3000.,   2000.,\n",
-       "         1000.,    500.,    100.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bec07e4c-8fec-41db-a0b0-a9ff636c3b35' class='xr-section-summary-in' type='checkbox' checked /><label for='section-bec07e4c-8fec-41db-a0b0-a9ff636c3b35' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.3e+03 7.331e+03 ... 7.359e+03</div><input id='attrs-20bec393-9fc6-49af-bee2-06579ad72ed7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-20bec393-9fc6-49af-bee2-06579ad72ed7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-111879e1-b6c0-4801-946e-112eccc1f9a0' class='xr-var-data-in' type='checkbox'><label for='data-111879e1-b6c0-4801-946e-112eccc1f9a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[7300., 7331.],\n",
-       "       [7331., 7359.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -89.0 -89.0 ... 89.0 90.0</div><input id='attrs-873ad06a-1833-4f6e-aa9f-7224c77736c1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-873ad06a-1833-4f6e-aa9f-7224c77736c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73371df3-7daf-483f-a1c1-b275f9b69afe' class='xr-var-data-in' type='checkbox'><label for='data-73371df3-7daf-483f-a1c1-b275f9b69afe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -89.],\n",
+       "         1000.,    500.,    100.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d2e35bd5-17f4-4bd0-8702-eb8808e97313' class='xr-section-summary-in' type='checkbox' checked /><label for='section-d2e35bd5-17f4-4bd0-8702-eb8808e97313' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.3e+03 7.331e+03 ... 7.359e+03</div><input id='attrs-5b72c4d2-6215-4761-a30c-2c373b33d139' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5b72c4d2-6215-4761-a30c-2c373b33d139' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-858bd51d-6d7e-4ba9-be1f-e5c145a8c0d5' class='xr-var-data-in' type='checkbox'><label for='data-858bd51d-6d7e-4ba9-be1f-e5c145a8c0d5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[7300., 7331.],\n",
+       "       [7331., 7359.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -89.0 -89.0 ... 89.0 90.0</div><input id='attrs-ef9981c2-b0f6-4f6d-a1ab-a44a8f474e49' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ef9981c2-b0f6-4f6d-a1ab-a44a8f474e49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9015d10-989e-4c63-95f4-121df09bb775' class='xr-var-data-in' type='checkbox'><label for='data-b9015d10-989e-4c63-95f4-121df09bb775' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -89.],\n",
        "       [-89., -88.],\n",
        "       [-88., -87.],\n",
        "       [-87., -86.],\n",
@@ -735,7 +751,7 @@
        "       [ 86.,  87.],\n",
        "       [ 87.,  88.],\n",
        "       [ 88.,  89.],\n",
-       "       [ 89.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 1.0 ... 359.0 359.0 360.0</div><input id='attrs-9965966f-64f5-434e-9cfb-45c00519e697' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9965966f-64f5-434e-9cfb-45c00519e697' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b974106b-7057-438f-9768-b042ff93f9d4' class='xr-var-data-in' type='checkbox'><label for='data-b974106b-7057-438f-9768-b042ff93f9d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,   1.],\n",
+       "       [ 89.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 1.0 ... 359.0 359.0 360.0</div><input id='attrs-8b8f7ae2-f720-4d31-90b4-6a8cef589c05' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8b8f7ae2-f720-4d31-90b4-6a8cef589c05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0126ee5-5066-41b3-94ae-c0444a315811' class='xr-var-data-in' type='checkbox'><label for='data-f0126ee5-5066-41b3-94ae-c0444a315811' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,   1.],\n",
        "       [  1.,   2.],\n",
        "       [  2.,   3.],\n",
        "       [  3.,   4.],\n",
@@ -775,7 +791,7 @@
        "       [356., 357.],\n",
        "       [357., 358.],\n",
        "       [358., 359.],\n",
-       "       [359., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, plev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 269.4 269.4 269.4</div><input id='attrs-b57e34ce-d9dd-46b3-a4b0-9f0ebd12aaab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b57e34ce-d9dd-46b3-a4b0-9f0ebd12aaab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ffbb9e2-0d60-472b-a09e-35f60636a8a5' class='xr-var-data-in' type='checkbox'><label for='data-2ffbb9e2-0d60-472b-a09e-35f60636a8a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Air Temperature</dd><dt><span>comment :</span></dt><dd>Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "       [359., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, plev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 269.4 269.4 269.4</div><input id='attrs-07ec9027-2a7d-4438-917d-062810295a15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07ec9027-2a7d-4438-917d-062810295a15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56b9749b-a9e3-4198-a88f-f2bc6bfdf4d2' class='xr-var-data-in' type='checkbox'><label for='data-56b9749b-a9e3-4198-a88f-f2bc6bfdf4d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Air Temperature</dd><dt><span>comment :</span></dt><dd>Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[      nan,       nan,       nan, ...,       nan,       nan,\n",
        "                nan],\n",
        "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
        "                nan],\n",
@@ -815,7 +831,7 @@
        "         [270.9006 , 270.89993, 270.89853, ..., 270.28284, 270.2842 ,\n",
        "          270.2849 ],\n",
        "         [270.00507, 270.00507, 270.00507, ..., 269.40063, 269.40063,\n",
-       "          269.40063]]]], shape=(2, 19, 180, 360), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6cb5b60c-1ccb-4633-811f-44d1b284eaad' class='xr-section-summary-in' type='checkbox' checked /><label for='section-6cb5b60c-1ccb-4633-811f-44d1b284eaad' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(51)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>branch_method :</span></dt><dd>standard</dd><dt><span>branch_time_in_child :</span></dt><dd>0.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>18250.0</dd><dt><span>creation_date :</span></dt><dd>2025-08-10T17:00:06Z</dd><dt><span>data contact :</span></dt><dd>E3SM-DATA-SUPPORT@LLNL.GOV</dd><dt><span>data_specs_version :</span></dt><dd>01.00.33</dd><dt><span>experiment :</span></dt><dd>all-forcing simulation of the recent past</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.E3SM-Project.E3SM-3-0.historical.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>data regridded to a CMIP6 standard 1x1 degree lonxlat grid from the native grid using an area-average preserving method.</dd><dt><span>grid_label :</span></dt><dd>gr</dd><dt><span>history :</span></dt><dd>2025-08-10T17:00:06Z ;rewrote data to be consistent with CMIP for variable ta found in table Amon.;\n",
+       "          269.40063]]]], shape=(2, 19, 180, 360), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-48a7b754-4b49-4692-befa-e1e6496ee805' class='xr-section-summary-in' type='checkbox' checked /><label for='section-48a7b754-4b49-4692-befa-e1e6496ee805' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(51)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>branch_method :</span></dt><dd>standard</dd><dt><span>branch_time_in_child :</span></dt><dd>0.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>18250.0</dd><dt><span>creation_date :</span></dt><dd>2025-08-10T17:00:06Z</dd><dt><span>data contact :</span></dt><dd>E3SM-DATA-SUPPORT@LLNL.GOV</dd><dt><span>data_specs_version :</span></dt><dd>01.00.33</dd><dt><span>experiment :</span></dt><dd>all-forcing simulation of the recent past</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.E3SM-Project.E3SM-3-0.historical.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>data regridded to a CMIP6 standard 1x1 degree lonxlat grid from the native grid using an area-average preserving method.</dd><dt><span>grid_label :</span></dt><dd>gr</dd><dt><span>history :</span></dt><dd>2025-08-10T17:00:06Z ;rewrote data to be consistent with CMIP for variable ta found in table Amon.;\n",
        "v3.LR.historical_0051</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>LLNL (Lawrence Livermore National Laboratory, Livermore, CA 94550, USA); ANL (Argonne National Laboratory, Argonne, IL 60439, USA); BNL (Brookhaven National Laboratory, Upton, NY 11973, USA); LANL (Los Alamos National Laboratory, Los Alamos, NM 87545, USA); LBNL (Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA); ORNL (Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA); PNNL (Pacific Northwest National Laboratory, Richland, WA 99352, USA); SNL (Sandia National Laboratories, Albuquerque, NM 87185, USA). Mailing address: LLNL Climate Program, c/o David C. Bader, Principal Investigator, L-103, 7000 East Avenue, Livermore, CA 94550, USA</dd><dt><span>institution_id :</span></dt><dd>E3SM-Project</dd><dt><span>label :</span></dt><dd>E3SM 3.0</dd><dt><span>label_extended :</span></dt><dd>E3SM 3.0 (Energy Exascale Earth System Model)</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>parent_activity_id :</span></dt><dd>CMIP</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_source_id :</span></dt><dd>E3SM-3-0</dd><dt><span>parent_time_units :</span></dt><dd>days since 0001-01-01</dd><dt><span>parent_variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>project PI :</span></dt><dd>Dr. Peter Caldwell (caldwell19@llnl.gov), Dr. Dave Bader (PI until Feb 2025)</dd><dt><span>realization_index :</span></dt><dd>1</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>references :</span></dt><dd>Xie, S., and co-authors, 2025: The Energy Exascale Earth System Model Version 3. Part I: Overview of the Atmospheric Component. ESS Open Archive. April 13, 2025. in review with JAMES; Golaz, J.-C. and co-authors, 2025: The Energy Exascale Earth System Model version 3. Part II: Overview of the coupled system. JAMES, in review concurrent to data publication</dd><dt><span>release_year :</span></dt><dd>2024</dd><dt><span>source :</span></dt><dd>E3SM 3.0 (2025): \n",
        "aerosol: MAM5 w/ prognostic stratospheric aerosols (atmos physics grid)\n",
        "atmos: EAM (E3SMv3.0, cubed sphere spectral-element; 5400 els., 30x30 per cube face. Dynamics: degree 3 (p=3) polynomials within each spectral els., 112 km ave. resolution. Physics: 2x2 finite volume cells within each spectral els., 1.5 degree (168 km) average grid spacing; 80 vertical layers w/ top at 60 km)\n",
@@ -917,10 +933,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T19:00:07.214930Z",
-     "iopub.status.busy": "2026-05-30T19:00:07.214834Z",
-     "iopub.status.idle": "2026-05-30T19:00:07.223655Z",
-     "shell.execute_reply": "2026-05-30T19:00:07.223131Z"
+     "iopub.execute_input": "2026-05-31T18:59:20.906919Z",
+     "iopub.status.busy": "2026-05-31T18:59:20.906821Z",
+     "iopub.status.idle": "2026-05-31T18:59:20.914136Z",
+     "shell.execute_reply": "2026-05-31T18:59:20.913573Z"
     }
    },
    "outputs": [
@@ -986,10 +1002,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T19:00:07.225113Z",
-     "iopub.status.busy": "2026-05-30T19:00:07.225028Z",
-     "iopub.status.idle": "2026-05-30T19:00:07.450739Z",
-     "shell.execute_reply": "2026-05-30T19:00:07.450370Z"
+     "iopub.execute_input": "2026-05-31T18:59:20.915732Z",
+     "iopub.status.busy": "2026-05-31T18:59:20.915632Z",
+     "iopub.status.idle": "2026-05-31T18:59:21.157935Z",
+     "shell.execute_reply": "2026-05-31T18:59:21.157281Z"
     }
    },
    "outputs": [
@@ -997,7 +1013,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "output/03_pressure_level_air_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/ta/tavg-p19-hxy-air/g999/v20260530/ta_tavg-p19-hxy-air_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_187001-187002.nc\n"
+      "output/03_pressure_level_air_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/ta/tavg-p19-hxy-air/g999/v20260531/ta_tavg-p19-hxy-air_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_187001-187002.nc\n"
      ]
     }
    ],
@@ -1041,10 +1057,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T19:00:07.451975Z",
-     "iopub.status.busy": "2026-05-30T19:00:07.451890Z",
-     "iopub.status.idle": "2026-05-30T19:00:07.505828Z",
-     "shell.execute_reply": "2026-05-30T19:00:07.505353Z"
+     "iopub.execute_input": "2026-05-31T18:59:21.159324Z",
+     "iopub.status.busy": "2026-05-31T18:59:21.159211Z",
+     "iopub.status.idle": "2026-05-31T18:59:21.219710Z",
+     "shell.execute_reply": "2026-05-31T18:59:21.219254Z"
     }
    },
    "outputs": [
@@ -1612,7 +1628,7 @@
        "    area_label:            air\n",
        "    branded_variable:      ta_tavg-p19-hxy-air\n",
        "    branding_suffix:       tavg-p19-hxy-air\n",
-       "    creation_date:         2026-05-30T19:00:07Z\n",
+       "    creation_date:         2026-05-31T18:59:20Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -1622,7 +1638,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-30T19:00:07Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-05-31T18:59:20Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1641,12 +1657,12 @@
        "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/9a243521-6e75-4771-a447-0d2ad87db7c8\n",
+       "    tracking_id:           hdl:21.14107/319da785-ab39-4e17-8ce7-4a19df737a06\n",
        "    variable_id:           ta\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        p19\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-9f9a0608-cfb5-43bd-9836-9b0aa9e3221e' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-9f9a0608-cfb5-43bd-9836-9b0aa9e3221e' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 180</li><li><span class='xr-has-index'>lon</span>: 360</li><li><span class='xr-has-index'>plev</span>: 19</li></ul></div></li><li class='xr-section-item'><input id='section-1b914eaa-387b-4a71-a98c-c36849c49f83' class='xr-section-summary-in' type='checkbox' checked /><label for='section-1b914eaa-387b-4a71-a98c-c36849c49f83' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.316e+03 7.345e+03</div><input id='attrs-089a772d-e682-4250-a170-1e1c383a068d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-089a772d-e682-4250-a170-1e1c383a068d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb149fbb-d372-4686-b6a5-07e4f70d2f66' class='xr-var-data-in' type='checkbox'><label for='data-eb149fbb-d372-4686-b6a5-07e4f70d2f66' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-01-01 00:00:00</dd><dt><span>calendar :</span></dt><dd>noleap</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([7315.5, 7345. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.5 -88.5 -87.5 ... 88.5 89.5</div><input id='attrs-40466ec2-afd8-494b-84db-cb0039e9521e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40466ec2-afd8-494b-84db-cb0039e9521e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae27c5bf-4bd9-4b8b-9507-c1eba104ee33' class='xr-var-data-in' type='checkbox'><label for='data-ae27c5bf-4bd9-4b8b-9507-c1eba104ee33' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-01a125ee-6244-4723-960e-88938b38d868' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-01a125ee-6244-4723-960e-88938b38d868' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 180</li><li><span class='xr-has-index'>lon</span>: 360</li><li><span class='xr-has-index'>plev</span>: 19</li></ul></div></li><li class='xr-section-item'><input id='section-d44f1f60-3cce-4d5e-93ae-34317e1749e2' class='xr-section-summary-in' type='checkbox' checked /><label for='section-d44f1f60-3cce-4d5e-93ae-34317e1749e2' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.316e+03 7.345e+03</div><input id='attrs-acd469b6-1457-4403-a385-1f34fd98b4fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-acd469b6-1457-4403-a385-1f34fd98b4fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-173a1808-79ca-498a-b793-061349cfd95f' class='xr-var-data-in' type='checkbox'><label for='data-173a1808-79ca-498a-b793-061349cfd95f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-01-01 00:00:00</dd><dt><span>calendar :</span></dt><dd>noleap</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([7315.5, 7345. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.5 -88.5 -87.5 ... 88.5 89.5</div><input id='attrs-3844bac9-b89a-42f8-b5ed-9b8ad78c9f65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3844bac9-b89a-42f8-b5ed-9b8ad78c9f65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ede11f84-a961-430e-85b4-bc97a7070883' class='xr-var-data-in' type='checkbox'><label for='data-ede11f84-a961-430e-85b4-bc97a7070883' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
        "       -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,\n",
        "       -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5,\n",
        "       -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5,\n",
@@ -1663,10 +1679,10 @@
        "        50.5,  51.5,  52.5,  53.5,  54.5,  55.5,  56.5,  57.5,  58.5,  59.5,\n",
        "        60.5,  61.5,  62.5,  63.5,  64.5,  65.5,  66.5,  67.5,  68.5,  69.5,\n",
        "        70.5,  71.5,  72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,\n",
-       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5 1.5 2.5 ... 357.5 358.5 359.5</div><input id='attrs-1885efe1-5973-426b-83a7-6656fc19871f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1885efe1-5973-426b-83a7-6656fc19871f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb9c75c9-59f6-411c-8b86-36f1cfc244d1' class='xr-var-data-in' type='checkbox'><label for='data-fb9c75c9-59f6-411c-8b86-36f1cfc244d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.5,   1.5,   2.5, ..., 357.5, 358.5, 359.5], shape=(360,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>plev</span></div><div class='xr-var-dims'>(plev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05 9.25e+04 ... 500.0 100.0</div><input id='attrs-a160a418-c971-4a0b-be60-600fbf823aec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a160a418-c971-4a0b-be60-600fbf823aec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3552d589-6c95-4991-86f2-337797c56d0c' class='xr-var-data-in' type='checkbox'><label for='data-3552d589-6c95-4991-86f2-337797c56d0c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>Pressure Levels (19)</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd></dl></div><div class='xr-var-data'><pre>array([100000.,  92500.,  85000.,  70000.,  60000.,  50000.,  40000.,  30000.,\n",
+       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5 1.5 2.5 ... 357.5 358.5 359.5</div><input id='attrs-4417f076-85f3-4b89-a655-7e2314f75eec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4417f076-85f3-4b89-a655-7e2314f75eec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84de351b-d62b-454b-80a3-463a1d6abeb4' class='xr-var-data-in' type='checkbox'><label for='data-84de351b-d62b-454b-80a3-463a1d6abeb4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.5,   1.5,   2.5, ..., 357.5, 358.5, 359.5], shape=(360,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>plev</span></div><div class='xr-var-dims'>(plev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05 9.25e+04 ... 500.0 100.0</div><input id='attrs-2abdd9ad-ca1f-4996-ae42-75544248119a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2abdd9ad-ca1f-4996-ae42-75544248119a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-693115dd-7585-4e60-abfd-64aaed994cc6' class='xr-var-data-in' type='checkbox'><label for='data-693115dd-7585-4e60-abfd-64aaed994cc6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>Pressure Levels (19)</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd></dl></div><div class='xr-var-data'><pre>array([100000.,  92500.,  85000.,  70000.,  60000.,  50000.,  40000.,  30000.,\n",
        "        25000.,  20000.,  15000.,  10000.,   7000.,   5000.,   3000.,   2000.,\n",
-       "         1000.,    500.,    100.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-60972994-c40a-46b3-9f24-74a30743b9b4' class='xr-section-summary-in' type='checkbox' checked /><label for='section-60972994-c40a-46b3-9f24-74a30743b9b4' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.3e+03 7.331e+03 ... 7.359e+03</div><input id='attrs-c1fe98b7-c8c0-4ffb-88ad-49a011af567a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c1fe98b7-c8c0-4ffb-88ad-49a011af567a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1389009-e311-4c80-b68c-15b073028fe9' class='xr-var-data-in' type='checkbox'><label for='data-e1389009-e311-4c80-b68c-15b073028fe9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[7300., 7331.],\n",
-       "       [7331., 7359.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -89.0 -89.0 ... 89.0 90.0</div><input id='attrs-3729d87c-515c-4487-985e-149e9fd94891' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3729d87c-515c-4487-985e-149e9fd94891' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-779f0ca6-d1d4-4b1b-9356-2a898721091c' class='xr-var-data-in' type='checkbox'><label for='data-779f0ca6-d1d4-4b1b-9356-2a898721091c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -89.],\n",
+       "         1000.,    500.,    100.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6c287de5-e657-41cc-88ec-0da850b36fc9' class='xr-section-summary-in' type='checkbox' checked /><label for='section-6c287de5-e657-41cc-88ec-0da850b36fc9' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.3e+03 7.331e+03 ... 7.359e+03</div><input id='attrs-d390f026-37a0-4634-9917-9cdbba812020' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d390f026-37a0-4634-9917-9cdbba812020' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1497a2da-01a7-4460-a740-d096fff7fb1a' class='xr-var-data-in' type='checkbox'><label for='data-1497a2da-01a7-4460-a740-d096fff7fb1a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[7300., 7331.],\n",
+       "       [7331., 7359.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -89.0 -89.0 ... 89.0 90.0</div><input id='attrs-a83eb462-6161-409f-b06d-dfeaf1700d3d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a83eb462-6161-409f-b06d-dfeaf1700d3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68f0d435-bc87-4c06-93a5-768a84172147' class='xr-var-data-in' type='checkbox'><label for='data-68f0d435-bc87-4c06-93a5-768a84172147' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -89.],\n",
        "       [-89., -88.],\n",
        "       [-88., -87.],\n",
        "       [-87., -86.],\n",
@@ -1706,7 +1722,7 @@
        "       [ 86.,  87.],\n",
        "       [ 87.,  88.],\n",
        "       [ 88.,  89.],\n",
-       "       [ 89.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 1.0 ... 359.0 359.0 360.0</div><input id='attrs-38d3c145-4597-40c7-8dec-84be7da0bccc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-38d3c145-4597-40c7-8dec-84be7da0bccc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52fca06e-8bea-4c73-8130-14daec767221' class='xr-var-data-in' type='checkbox'><label for='data-52fca06e-8bea-4c73-8130-14daec767221' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,   1.],\n",
+       "       [ 89.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 1.0 ... 359.0 359.0 360.0</div><input id='attrs-98e5c59c-d4d1-4af4-8673-5d47dc33763d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-98e5c59c-d4d1-4af4-8673-5d47dc33763d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e918a7a3-c1b5-461b-b892-de7b76b23431' class='xr-var-data-in' type='checkbox'><label for='data-e918a7a3-c1b5-461b-b892-de7b76b23431' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,   1.],\n",
        "       [  1.,   2.],\n",
        "       [  2.,   3.],\n",
        "       [  3.,   4.],\n",
@@ -1746,7 +1762,7 @@
        "       [356., 357.],\n",
        "       [357., 358.],\n",
        "       [358., 359.],\n",
-       "       [359., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, plev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 269.4 269.4 269.4</div><input id='attrs-f664c2b1-233a-4a9e-b2c6-1fecba9ac9bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f664c2b1-233a-4a9e-b2c6-1fecba9ac9bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d964818e-17d9-49b1-b4c9-2d5f80e98e66' class='xr-var-data-in' type='checkbox'><label for='data-d964818e-17d9-49b1-b4c9-2d5f80e98e66' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean where air</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "       [359., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, plev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 269.4 269.4 269.4</div><input id='attrs-bab69b82-afe9-4c02-a6ea-31548043c37d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bab69b82-afe9-4c02-a6ea-31548043c37d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-948e1813-d033-4e5f-a129-6666b9193f20' class='xr-var-data-in' type='checkbox'><label for='data-948e1813-d033-4e5f-a129-6666b9193f20' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean where air</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[      nan,       nan,       nan, ...,       nan,       nan,\n",
        "                nan],\n",
        "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
        "                nan],\n",
@@ -1786,7 +1802,7 @@
        "         [270.9006 , 270.89993, 270.89853, ..., 270.28284, 270.2842 ,\n",
        "          270.2849 ],\n",
        "         [270.00507, 270.00507, 270.00507, ..., 269.40063, 269.40063,\n",
-       "          269.40063]]]], shape=(2, 19, 180, 360), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-60eee25c-1e68-4b98-8638-eccb9ec09acb' class='xr-section-summary-in' type='checkbox' checked /><label for='section-60eee25c-1e68-4b98-8638-eccb9ec09acb' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>air</dd><dt><span>branded_variable :</span></dt><dd>ta_tavg-p19-hxy-air</dd><dt><span>branding_suffix :</span></dt><dd>tavg-p19-hxy-air</dd><dt><span>creation_date :</span></dt><dd>2026-05-30T19:00:07Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-30T19:00:07Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/9a243521-6e75-4771-a447-0d2ad87db7c8</dd><dt><span>variable_id :</span></dt><dd>ta</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>p19</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+       "          269.40063]]]], shape=(2, 19, 180, 360), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8b68f799-aaf6-4680-bd13-e4aec777d680' class='xr-section-summary-in' type='checkbox' checked /><label for='section-8b68f799-aaf6-4680-bd13-e4aec777d680' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>air</dd><dt><span>branded_variable :</span></dt><dd>ta_tavg-p19-hxy-air</dd><dt><span>branding_suffix :</span></dt><dd>tavg-p19-hxy-air</dd><dt><span>creation_date :</span></dt><dd>2026-05-31T18:59:20Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-31T18:59:20Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/319da785-ab39-4e17-8ce7-4a19df737a06</dd><dt><span>variable_id :</span></dt><dd>ta</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>p19</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 10MB\n",
@@ -1808,7 +1824,7 @@
        "    area_label:            air\n",
        "    branded_variable:      ta_tavg-p19-hxy-air\n",
        "    branding_suffix:       tavg-p19-hxy-air\n",
-       "    creation_date:         2026-05-30T19:00:07Z\n",
+       "    creation_date:         2026-05-31T18:59:20Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -1818,7 +1834,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-30T19:00:07Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-05-31T18:59:20Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1837,7 +1853,7 @@
        "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/9a243521-6e75-4771-a447-0d2ad87db7c8\n",
+       "    tracking_id:           hdl:21.14107/319da785-ab39-4e17-8ce7-4a19df737a06\n",
        "    variable_id:           ta\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        p19\n",
@@ -1868,16 +1884,16 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T19:00:07.507043Z",
-     "iopub.status.busy": "2026-05-30T19:00:07.506954Z",
-     "iopub.status.idle": "2026-05-30T19:00:07.684921Z",
-     "shell.execute_reply": "2026-05-30T19:00:07.684469Z"
+     "iopub.execute_input": "2026-05-31T18:59:21.221393Z",
+     "iopub.status.busy": "2026-05-31T18:59:21.221283Z",
+     "iopub.status.idle": "2026-05-31T18:59:21.395707Z",
+     "shell.execute_reply": "2026-05-31T18:59:21.395084Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1100x540 with 2 Axes>"
       ]
@@ -1909,7 +1925,8 @@
     "map_plot.drawmeridians(np.arange(-180, 181, 60), labels=[0, 0, 0, 1], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
     "colorbar = map_plot.colorbar(mesh, location=\"right\", pad=\"5%\")\n",
     "colorbar.set_label(\"K\")\n",
-    "ax.set_title(\"CMIP7 ta at 500 hPa, first month\")\n",
+    "time_label = month_year_label(ds[\"time\"])\n",
+    "ax.set_title(f\"CMIP7 ta at 500 hPa, {time_label}\")\n",
     "plt.show()\n"
    ]
   }
diff --git a/notebooks/04_hybrid_sigma_humidity_tendency.ipynb b/notebooks/04_hybrid_sigma_humidity_tendency.ipynb
index 3637280d..8d50b5d3 100644
--- a/notebooks/04_hybrid_sigma_humidity_tendency.ipynb
+++ b/notebooks/04_hybrid_sigma_humidity_tendency.ipynb
@@ -14,10 +14,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T19:33:32.600468Z",
-     "iopub.status.busy": "2026-05-30T19:33:32.600323Z",
-     "iopub.status.idle": "2026-05-30T19:33:33.103915Z",
-     "shell.execute_reply": "2026-05-30T19:33:33.103528Z"
+     "iopub.execute_input": "2026-05-31T18:59:22.320730Z",
+     "iopub.status.busy": "2026-05-31T18:59:22.320637Z",
+     "iopub.status.idle": "2026-05-31T18:59:22.875537Z",
+     "shell.execute_reply": "2026-05-31T18:59:22.875092Z"
     }
    },
    "outputs": [
@@ -31,6 +31,7 @@
    ],
    "source": [
     "from pathlib import Path\n",
+    "import calendar\n",
     "import json\n",
     "import shutil\n",
     "\n",
@@ -51,6 +52,21 @@
     "if not DATA_PATH.exists():\n",
     "    raise FileNotFoundError(f\"Source data file not found: {DATA_PATH}\")\n",
     "\n",
+    "\n",
+    "\n",
+    "def month_year_label(time_coord):\n",
+    "    decoded_time = xr.coding.times.decode_cf_datetime(\n",
+    "        time_coord.values[:1],\n",
+    "        time_coord.attrs[\"units\"],\n",
+    "        calendar=time_coord.attrs.get(\"calendar\", \"standard\"),\n",
+    "    )[0]\n",
+    "    if hasattr(decoded_time, \"strftime\"):\n",
+    "        return decoded_time.strftime(\"%B %Y\")\n",
+    "    date_text = np.datetime_as_string(decoded_time, unit=\"D\")\n",
+    "    year, month = date_text.split(\"-\")[:2]\n",
+    "    return f\"{calendar.month_name[int(month)]} {year}\"\n",
+    "\n",
+    "\n",
     "print(f\"Using CMIP7 tables from {TABLES_DIR}\")\n"
    ]
   },
@@ -59,10 +75,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T19:33:33.119191Z",
-     "iopub.status.busy": "2026-05-30T19:33:33.119039Z",
-     "iopub.status.idle": "2026-05-30T19:33:33.266618Z",
-     "shell.execute_reply": "2026-05-30T19:33:33.266086Z"
+     "iopub.execute_input": "2026-05-31T18:59:22.877152Z",
+     "iopub.status.busy": "2026-05-31T18:59:22.876980Z",
+     "iopub.status.idle": "2026-05-31T18:59:23.055466Z",
+     "shell.execute_reply": "2026-05-31T18:59:23.054705Z"
     }
    },
    "outputs": [
@@ -669,12 +685,12 @@
        "    variant_label:         r2i1p1f2\n",
        "    license:               CMIP6 model data produced by MIROC is licensed und...\n",
        "    cmor_version:          3.3.2\n",
-       "    tracking_id:           hdl:21.14100/f575a148-89c0-40d7-bdd5-b67e0f73cf4a</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-854d3ddf-77b2-43bc-afbc-be3fe74793bb' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-854d3ddf-77b2-43bc-afbc-be3fe74793bb' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 5</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lev</span>: 40</li><li><span class='xr-has-index'>lat</span>: 64</li><li><span class='xr-has-index'>lon</span>: 128</li></ul></div></li><li class='xr-section-item'><input id='section-329381b3-3915-4dd5-9b75-f4aa595af314' class='xr-section-summary-in' type='checkbox' checked /><label for='section-329381b3-3915-4dd5-9b75-f4aa595af314' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.5 45.0 74.5 105.0 135.5</div><input id='attrs-127d8f69-2ba6-45e3-a854-5d9ff1dd6ffc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-127d8f69-2ba6-45e3-a854-5d9ff1dd6ffc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd20af57-0480-42fa-b5a5-96f817897b41' class='xr-var-data-in' type='checkbox'><label for='data-bd20af57-0480-42fa-b5a5-96f817897b41' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1979-1-1</dd><dt><span>calendar :</span></dt><dd>gregorian</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([ 15.5,  45. ,  74.5, 105. , 135.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9975 0.9915 ... 0.0106 0.002905</div><input id='attrs-c6c65680-6c25-453c-8f42-c537620bfc32' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6c65680-6c25-453c-8f42-c537620bfc32' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96c45a7a-603e-419e-8946-e83034558d62' class='xr-var-data-in' type='checkbox'><label for='data-96c45a7a-603e-419e-8946-e83034558d62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lev_bnds</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>hybrid sigma pressure coordinate</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a b: b ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([0.997499, 0.991499, 0.982997, 0.971996, 0.958493, 0.94199 , 0.922486,\n",
+       "    tracking_id:           hdl:21.14100/f575a148-89c0-40d7-bdd5-b67e0f73cf4a</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c297fa6f-3d3d-4713-8218-22498df6745b' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-c297fa6f-3d3d-4713-8218-22498df6745b' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 5</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lev</span>: 40</li><li><span class='xr-has-index'>lat</span>: 64</li><li><span class='xr-has-index'>lon</span>: 128</li></ul></div></li><li class='xr-section-item'><input id='section-8b1f981e-6692-417c-8461-22fc6e363c9f' class='xr-section-summary-in' type='checkbox' checked /><label for='section-8b1f981e-6692-417c-8461-22fc6e363c9f' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.5 45.0 74.5 105.0 135.5</div><input id='attrs-6927db4a-ce88-4eb8-a866-9ea6c431fa4f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6927db4a-ce88-4eb8-a866-9ea6c431fa4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-920a2d7c-7b02-4089-bb41-23522ed016a1' class='xr-var-data-in' type='checkbox'><label for='data-920a2d7c-7b02-4089-bb41-23522ed016a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1979-1-1</dd><dt><span>calendar :</span></dt><dd>gregorian</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([ 15.5,  45. ,  74.5, 105. , 135.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9975 0.9915 ... 0.0106 0.002905</div><input id='attrs-531c1409-61e5-41f6-8793-8fdc9c2aee84' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-531c1409-61e5-41f6-8793-8fdc9c2aee84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d843ff9-a40c-4dfb-bd3b-9aaf240ca056' class='xr-var-data-in' type='checkbox'><label for='data-8d843ff9-a40c-4dfb-bd3b-9aaf240ca056' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lev_bnds</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>hybrid sigma pressure coordinate</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a b: b ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([0.997499, 0.991499, 0.982997, 0.971996, 0.958493, 0.94199 , 0.922486,\n",
        "       0.900483, 0.875977, 0.848972, 0.819967, 0.786951, 0.746923, 0.698885,\n",
        "       0.642833, 0.574472, 0.501478, 0.43645 , 0.379852, 0.330596, 0.287725,\n",
        "       0.250411, 0.21794 , 0.189681, 0.16508 , 0.143673, 0.125043, 0.108828,\n",
        "       0.094716, 0.082434, 0.071745, 0.062441, 0.054278, 0.046937, 0.040158,\n",
-       "       0.033613, 0.026593, 0.018613, 0.010603, 0.002905])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-87.86 -85.1 -82.31 ... 85.1 87.86</div><input id='attrs-29aa6bad-660a-48cd-a9b7-afd8593961bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29aa6bad-660a-48cd-a9b7-afd8593961bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4efe6b38-1502-46d6-a340-994a08e571b1' class='xr-var-data-in' type='checkbox'><label for='data-4efe6b38-1502-46d6-a340-994a08e571b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-87.863799, -85.096527, -82.312913, -79.525607, -76.7369  , -73.947515,\n",
+       "       0.033613, 0.026593, 0.018613, 0.010603, 0.002905])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-87.86 -85.1 -82.31 ... 85.1 87.86</div><input id='attrs-ba4978aa-5d9d-451c-ba0f-88fdf684c440' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba4978aa-5d9d-451c-ba0f-88fdf684c440' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6db8853-903c-421c-9bfa-c159cdcf9817' class='xr-var-data-in' type='checkbox'><label for='data-e6db8853-903c-421c-9bfa-c159cdcf9817' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-87.863799, -85.096527, -82.312913, -79.525607, -76.7369  , -73.947515,\n",
        "       -71.157752, -68.367756, -65.577607, -62.787352, -59.99702 , -57.206632,\n",
        "       -54.4162  , -51.625734, -48.835241, -46.044727, -43.254195, -40.463648,\n",
        "       -37.67309 , -34.882521, -32.091944, -29.30136 , -26.510769, -23.720174,\n",
@@ -684,7 +700,7 @@
        "        29.30136 ,  32.091944,  34.882521,  37.67309 ,  40.463648,  43.254195,\n",
        "        46.044727,  48.835241,  51.625734,  54.4162  ,  57.206632,  59.99702 ,\n",
        "        62.787352,  65.577607,  68.367756,  71.157752,  73.947515,  76.7369  ,\n",
-       "        79.525607,  82.312913,  85.096527,  87.863799])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.812 5.625 ... 354.4 357.2</div><input id='attrs-f4874c08-1a95-47ef-9099-6693abca8944' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4874c08-1a95-47ef-9099-6693abca8944' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65702fd4-fda6-4305-abde-b9bca90814d2' class='xr-var-data-in' type='checkbox'><label for='data-65702fd4-fda6-4305-abde-b9bca90814d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.    ,   2.8125,   5.625 ,   8.4375,  11.25  ,  14.0625,  16.875 ,\n",
+       "        79.525607,  82.312913,  85.096527,  87.863799])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.812 5.625 ... 354.4 357.2</div><input id='attrs-f4d9ff75-974f-45fb-9073-961178b0c376' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4d9ff75-974f-45fb-9073-961178b0c376' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8929083a-4ec8-43a8-863c-982ba6b55e2e' class='xr-var-data-in' type='checkbox'><label for='data-8929083a-4ec8-43a8-863c-982ba6b55e2e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.    ,   2.8125,   5.625 ,   8.4375,  11.25  ,  14.0625,  16.875 ,\n",
        "        19.6875,  22.5   ,  25.3125,  28.125 ,  30.9375,  33.75  ,  36.5625,\n",
        "        39.375 ,  42.1875,  45.    ,  47.8125,  50.625 ,  53.4375,  56.25  ,\n",
        "        59.0625,  61.875 ,  64.6875,  67.5   ,  70.3125,  73.125 ,  75.9375,\n",
@@ -702,11 +718,11 @@
        "       295.3125, 298.125 , 300.9375, 303.75  , 306.5625, 309.375 , 312.1875,\n",
        "       315.    , 317.8125, 320.625 , 323.4375, 326.25  , 329.0625, 331.875 ,\n",
        "       334.6875, 337.5   , 340.3125, 343.125 , 345.9375, 348.75  , 351.5625,\n",
-       "       354.375 , 357.1875])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2f6242d3-b55c-4ff1-87f1-b079106e3731' class='xr-section-summary-in' type='checkbox' checked /><label for='section-2f6242d3-b55c-4ff1-87f1-b079106e3731' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 31.0 31.0 ... 120.0 120.0 151.0</div><input id='attrs-c5e46179-e62f-456a-9950-fa7280767c56' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c5e46179-e62f-456a-9950-fa7280767c56' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-422a4717-f4d8-4202-9b15-9399171315a7' class='xr-var-data-in' type='checkbox'><label for='data-422a4717-f4d8-4202-9b15-9399171315a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  31.],\n",
+       "       354.375 , 357.1875])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-383a156f-4332-4f6f-a059-313ebf64a0a2' class='xr-section-summary-in' type='checkbox' checked /><label for='section-383a156f-4332-4f6f-a059-313ebf64a0a2' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 31.0 31.0 ... 120.0 120.0 151.0</div><input id='attrs-1c15c568-311f-4493-9833-7ca44e49a684' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1c15c568-311f-4493-9833-7ca44e49a684' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a604b14c-1bae-4282-a7c8-34be40cb9164' class='xr-var-data-in' type='checkbox'><label for='data-a604b14c-1bae-4282-a7c8-34be40cb9164' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  31.],\n",
        "       [ 31.,  59.],\n",
        "       [ 59.,  90.],\n",
        "       [ 90., 120.],\n",
-       "       [120., 151.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lev_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.995 0.995 ... 0.007 0.007 0.0</div><input id='attrs-81d1c323-402d-43c7-8b87-14e490040131' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81d1c323-402d-43c7-8b87-14e490040131' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-93da0931-06b4-4f4c-99d9-65c5b43ddeb6' class='xr-var-data-in' type='checkbox'><label for='data-93da0931-06b4-4f4c-99d9-65c5b43ddeb6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a_bnds b: b_bnds ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([[1.        , 0.995     ],\n",
+       "       [120., 151.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lev_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.995 0.995 ... 0.007 0.007 0.0</div><input id='attrs-c3bcabc5-563e-446a-85a6-218683d33d91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3bcabc5-563e-446a-85a6-218683d33d91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d25c2a08-9312-4a0c-b38a-09365eeeeef5' class='xr-var-data-in' type='checkbox'><label for='data-d25c2a08-9312-4a0c-b38a-09365eeeeef5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a_bnds b: b_bnds ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([[1.        , 0.995     ],\n",
        "       [0.995     , 0.98799998],\n",
        "       [0.98799998, 0.97799999],\n",
        "       [0.97799999, 0.96600002],\n",
@@ -745,21 +761,21 @@
        "       [0.030384  , 0.022927  ],\n",
        "       [0.022927  , 0.014526  ],\n",
        "       [0.014526  , 0.007     ],\n",
-       "       [0.007     , 0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p0</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05</div><input id='attrs-c6638cf5-aa8a-4dbf-b168-6d819ba5d2fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6638cf5-aa8a-4dbf-b168-6d819ba5d2fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e1a818e-0e37-4b78-ab14-d528b1676591' class='xr-var-data-in' type='checkbox'><label for='data-8e1a818e-0e37-4b78-ab14-d528b1676591' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: reference pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array(100000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.001113 0.003782 ... 0.002905</div><input id='attrs-8a7f3555-74ee-462c-8969-393e77148d0c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a7f3555-74ee-462c-8969-393e77148d0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c0e7a23-0a40-45dc-84d4-9be4e6d2cef3' class='xr-var-data-in' type='checkbox'><label for='data-2c0e7a23-0a40-45dc-84d4-9be4e6d2cef3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a(k)</dd></dl></div><div class='xr-var-data'><pre>array([0.00111275, 0.00378219, 0.0075645 , 0.01245857, 0.01846599,\n",
+       "       [0.007     , 0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p0</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05</div><input id='attrs-540276e9-95dc-4a2e-a611-774dc6e45af2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-540276e9-95dc-4a2e-a611-774dc6e45af2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-329f86e2-258d-464d-aa55-3f8efdedb275' class='xr-var-data-in' type='checkbox'><label for='data-329f86e2-258d-464d-aa55-3f8efdedb275' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: reference pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array(100000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.001113 0.003782 ... 0.002905</div><input id='attrs-deb7c404-bcec-45f7-90e4-7444a4343de4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-deb7c404-bcec-45f7-90e4-7444a4343de4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c81dc47f-d003-4629-aa9d-8b343875a31d' class='xr-var-data-in' type='checkbox'><label for='data-c81dc47f-d003-4629-aa9d-8b343875a31d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a(k)</dd></dl></div><div class='xr-var-data'><pre>array([0.00111275, 0.00378219, 0.0075645 , 0.01245857, 0.01846599,\n",
        "       0.0258086 , 0.03448657, 0.04427587, 0.05518012, 0.06719563,\n",
        "       0.08010215, 0.09480408, 0.11264021, 0.13405917, 0.15908005,\n",
        "       0.18977115, 0.22239427, 0.2515278 , 0.27720865, 0.30309604,\n",
        "       0.2877251 , 0.25041144, 0.21794017, 0.18968127, 0.16508035,\n",
        "       0.1436727 , 0.12504333, 0.10882762, 0.09471573, 0.08243426,\n",
        "       0.07174488, 0.06244121, 0.05427773, 0.04693731, 0.04015774,\n",
-       "       0.03361269, 0.02659318, 0.01861324, 0.01060254, 0.00290465])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9964 0.9877 0.9754 ... 0.0 0.0</div><input id='attrs-88100e35-0b14-4a87-9c11-70db56ecf525' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88100e35-0b14-4a87-9c11-70db56ecf525' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-496e9921-85e3-4dd7-af93-854807ba6165' class='xr-var-data-in' type='checkbox'><label for='data-496e9921-85e3-4dd7-af93-854807ba6165' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b(k)</dd></dl></div><div class='xr-var-data'><pre>array([0.99638653, 0.98771632, 0.97543246, 0.95953703, 0.940027  ,\n",
+       "       0.03361269, 0.02659318, 0.01861324, 0.01060254, 0.00290465])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9964 0.9877 0.9754 ... 0.0 0.0</div><input id='attrs-e4e5bcaf-92e5-4363-b6e3-f031bfa4f481' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4e5bcaf-92e5-4363-b6e3-f031bfa4f481' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd76a66f-956f-4db6-83b5-d55fcece46be' class='xr-var-data-in' type='checkbox'><label for='data-bd76a66f-956f-4db6-83b5-d55fcece46be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b(k)</dd></dl></div><div class='xr-var-data'><pre>array([0.99638653, 0.98771632, 0.97543246, 0.95953703, 0.940027  ,\n",
        "       0.91618115, 0.88799924, 0.85620666, 0.82079691, 0.78177685,\n",
        "       0.73986518, 0.6921469 , 0.63428265, 0.56482565, 0.48375323,\n",
        "       0.38470095, 0.27908337, 0.18492202, 0.10264368, 0.02749949,\n",
        "       0.        , 0.        , 0.        , 0.        , 0.        ,\n",
        "       0.        , 0.        , 0.        , 0.        , 0.        ,\n",
        "       0.        , 0.        , 0.        , 0.        , 0.        ,\n",
-       "       0.        , 0.        , 0.        , 0.        , 0.        ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ps</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>6.951e+04 6.928e+04 ... 1.029e+05</div><input id='attrs-f2ffc4ed-b38b-4594-b651-9023326964f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f2ffc4ed-b38b-4594-b651-9023326964f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c3e3010-6e0c-4ebe-84dc-f0e76301698c' class='xr-var-data-in' type='checkbox'><label for='data-8c3e3010-6e0c-4ebe-84dc-f0e76301698c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface Air Pressure</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>original_units :</span></dt><dd>hPa</dd><dt><span>history :</span></dt><dd>2020-08-15T22:41:28Z altered by CMOR: Converted units from &#x27;hPa&#x27; to &#x27;Pa&#x27;.</dd></dl></div><div class='xr-var-data'><pre>array([[[ 69506.68 ,  69276.34 ,  69050.01 , ...,  70217.68 ,\n",
+       "       0.        , 0.        , 0.        , 0.        , 0.        ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ps</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>6.951e+04 6.928e+04 ... 1.029e+05</div><input id='attrs-7535d805-0abd-48d5-933a-d52db9df4ef0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7535d805-0abd-48d5-933a-d52db9df4ef0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f682d55-43f6-4308-815a-26fbced6c985' class='xr-var-data-in' type='checkbox'><label for='data-6f682d55-43f6-4308-815a-26fbced6c985' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface Air Pressure</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>original_units :</span></dt><dd>hPa</dd><dt><span>history :</span></dt><dd>2020-08-15T22:41:28Z altered by CMOR: Converted units from &#x27;hPa&#x27; to &#x27;Pa&#x27;.</dd></dl></div><div class='xr-var-data'><pre>array([[[ 69506.68 ,  69276.34 ,  69050.01 , ...,  70217.68 ,\n",
        "          69978.55 ,  69741.01 ],\n",
        "        [ 70131.305,  69566.664,  69032.41 , ...,  71992.38 ,\n",
        "          71346.164,  70724.734],\n",
@@ -799,7 +815,7 @@
        "        [102613.   , 102698.89 , 102761.94 , ..., 102212.695,\n",
        "         102369.51 , 102503.47 ],\n",
        "        [102897.48 , 102901.41 , 102903.77 , ..., 102873.05 ,\n",
-       "         102883.29 , 102891.95 ]]], shape=(5, 64, 128), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.002224 0.002224 ... 0.007 0.0</div><input id='attrs-6623beac-4b66-4c6f-9bc8-03da694c9767' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6623beac-4b66-4c6f-9bc8-03da694c9767' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-756a3442-c612-4a8a-b33d-7cdd67d69cc0' class='xr-var-data-in' type='checkbox'><label for='data-756a3442-c612-4a8a-b33d-7cdd67d69cc0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[0.        , 0.00222387],\n",
+       "         102883.29 , 102891.95 ]]], shape=(5, 64, 128), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.002224 0.002224 ... 0.007 0.0</div><input id='attrs-3d050ca7-8e37-4554-9ac5-fb0cb78d8118' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d050ca7-8e37-4554-9ac5-fb0cb78d8118' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07baddac-6295-4021-8033-7bc5fcab0554' class='xr-var-data-in' type='checkbox'><label for='data-07baddac-6295-4021-8033-7bc5fcab0554' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[0.        , 0.00222387],\n",
        "       [0.00222387, 0.00533729],\n",
        "       [0.00533729, 0.00978502],\n",
        "       [0.00978502, 0.01512229],\n",
@@ -838,7 +854,7 @@
        "       [0.030384  , 0.022927  ],\n",
        "       [0.022927  , 0.014526  ],\n",
        "       [0.014526  , 0.007     ],\n",
-       "       [0.007     , 0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.9928 0.9928 ... 0.0 0.0 0.0</div><input id='attrs-1e69a731-b859-4998-ac99-085d96822566' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e69a731-b859-4998-ac99-085d96822566' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03ce1c37-b143-4bb0-999c-cbb41d377747' class='xr-var-data-in' type='checkbox'><label for='data-03ce1c37-b143-4bb0-999c-cbb41d377747' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[1.        , 0.99277616],\n",
+       "       [0.007     , 0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.9928 0.9928 ... 0.0 0.0 0.0</div><input id='attrs-ea993b3f-c9c5-47a3-b69b-957960d8917e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea993b3f-c9c5-47a3-b69b-957960d8917e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9924c47-d654-4c06-9082-732c9b01254d' class='xr-var-data-in' type='checkbox'><label for='data-b9924c47-d654-4c06-9082-732c9b01254d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[1.        , 0.99277616],\n",
        "       [0.99277616, 0.98266268],\n",
        "       [0.98266268, 0.96821499],\n",
        "       [0.96821499, 0.95087773],\n",
@@ -877,7 +893,7 @@
        "       [0.        , 0.        ],\n",
        "       [0.        , 0.        ],\n",
        "       [0.        , 0.        ],\n",
-       "       [0.        , 0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -86.58 -86.58 ... 86.58 90.0</div><input id='attrs-6bdb53f7-10a2-4b10-b216-e4e719be0204' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6bdb53f7-10a2-4b10-b216-e4e719be0204' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75a55c59-00f8-41d2-8b5e-2f18e21c28da' class='xr-var-data-in' type='checkbox'><label for='data-75a55c59-00f8-41d2-8b5e-2f18e21c28da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.        , -86.57774751],\n",
+       "       [0.        , 0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -86.58 -86.58 ... 86.58 90.0</div><input id='attrs-351dd199-164b-4576-aa79-4f3a659c4ce7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-351dd199-164b-4576-aa79-4f3a659c4ce7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd280e50-7561-44e7-981c-c11783bb9c79' class='xr-var-data-in' type='checkbox'><label for='data-dd280e50-7561-44e7-981c-c11783bb9c79' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.        , -86.57774751],\n",
        "       [-86.57774751, -83.75702878],\n",
        "       [-83.75702878, -80.95502019],\n",
        "       [-80.95502019, -78.15834785],\n",
@@ -917,7 +933,7 @@
        "       [ 78.15834785,  80.95502019],\n",
        "       [ 80.95502019,  83.75702878],\n",
        "       [ 83.75702878,  86.57774751],\n",
-       "       [ 86.57774751,  90.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.406 1.406 1.406 ... 355.8 358.6</div><input id='attrs-19468174-f9cf-460d-bb39-a32852a7ffca' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-19468174-f9cf-460d-bb39-a32852a7ffca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-683113ba-7db6-4cee-9fcd-fb8bf63a8ef2' class='xr-var-data-in' type='checkbox'><label for='data-683113ba-7db6-4cee-9fcd-fb8bf63a8ef2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -1.40625,   1.40625],\n",
+       "       [ 86.57774751,  90.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.406 1.406 1.406 ... 355.8 358.6</div><input id='attrs-5df35195-dbf1-4c61-bc4a-e357948a9897' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5df35195-dbf1-4c61-bc4a-e357948a9897' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a896090b-a13f-4d31-a88f-a19b1793335a' class='xr-var-data-in' type='checkbox'><label for='data-a896090b-a13f-4d31-a88f-a19b1793335a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -1.40625,   1.40625],\n",
        "       [  1.40625,   4.21875],\n",
        "       [  4.21875,   7.03125],\n",
        "       [  7.03125,   9.84375],\n",
@@ -957,7 +973,7 @@
        "       [347.34375, 350.15625],\n",
        "       [350.15625, 352.96875],\n",
        "       [352.96875, 355.78125],\n",
-       "       [355.78125, 358.59375]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tnhusscpbl</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-c01e81fb-f531-4cd5-aef8-a377f7b9e39a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c01e81fb-f531-4cd5-aef8-a377f7b9e39a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e479cde2-9a22-44c5-af75-9b40babeb205' class='xr-var-data-in' type='checkbox'><label for='data-e479cde2-9a22-44c5-af75-9b40babeb205' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>tendency_of_specific_humidity_due_to_stratiform_cloud_and_precipitation_and_boundary_layer_mixing</dd><dt><span>long_name :</span></dt><dd>Tendency of Specific Humidity Due to Stratiform Cloud and Precipitation and Boundary Layer Mixing</dd><dt><span>comment :</span></dt><dd>Tendency of Specific Humidity Due to Stratiform Cloud and Precipitation and Boundary Layer Mixing  (to be specified only in  models which do not separate budget terms for stratiform cloud, precipitation and boundary layer schemes.  Includes all boundary layer terms including and diffusive terms.)</dd><dt><span>units :</span></dt><dd>s-1</dd><dt><span>original_name :</span></dt><dd>DQLSC</dd><dt><span>original_units :</span></dt><dd>1/s</dd><dt><span>history :</span></dt><dd>2020-08-15T22:41:28Z altered by CMOR: Converted units from &#x27;1/s&#x27; to &#x27;s-1&#x27;. 2020-08-15T22:41:28Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20). 2020-08-15T22:41:28Z altered by CMOR: Inverted axis: lat.</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
+       "       [355.78125, 358.59375]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tnhusscpbl</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-e09fa69b-898c-4f12-a12e-f4d261b0ee4f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e09fa69b-898c-4f12-a12e-f4d261b0ee4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f71365b3-dcf5-4a2d-803e-f902be764470' class='xr-var-data-in' type='checkbox'><label for='data-f71365b3-dcf5-4a2d-803e-f902be764470' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>tendency_of_specific_humidity_due_to_stratiform_cloud_and_precipitation_and_boundary_layer_mixing</dd><dt><span>long_name :</span></dt><dd>Tendency of Specific Humidity Due to Stratiform Cloud and Precipitation and Boundary Layer Mixing</dd><dt><span>comment :</span></dt><dd>Tendency of Specific Humidity Due to Stratiform Cloud and Precipitation and Boundary Layer Mixing  (to be specified only in  models which do not separate budget terms for stratiform cloud, precipitation and boundary layer schemes.  Includes all boundary layer terms including and diffusive terms.)</dd><dt><span>units :</span></dt><dd>s-1</dd><dt><span>original_name :</span></dt><dd>DQLSC</dd><dt><span>original_units :</span></dt><dd>1/s</dd><dt><span>history :</span></dt><dd>2020-08-15T22:41:28Z altered by CMOR: Converted units from &#x27;1/s&#x27; to &#x27;s-1&#x27;. 2020-08-15T22:41:28Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20). 2020-08-15T22:41:28Z altered by CMOR: Inverted axis: lat.</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
        "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
        "         [ 0.00000000e+00,  0.00000000e+00,  1.90706153e-12, ...,\n",
        "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
@@ -997,7 +1013,7 @@
        "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
        "         [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
        "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00]]]],\n",
-       "      shape=(5, 40, 64, 128), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-528f73ad-4c07-4562-9584-b26c6ee186a3' class='xr-section-summary-in' type='checkbox' checked /><label for='section-528f73ad-4c07-4562-9584-b26c6ee186a3' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(38)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>branch_method :</span></dt><dd>no parent</dd><dt><span>creation_date :</span></dt><dd>2020-08-15T22:41:28Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.28</dd><dt><span>experiment :</span></dt><dd>AMIP</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>2</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.MIROC.MIROC-ES2L.amip.none.r2i1p1f2</dd><dt><span>grid :</span></dt><dd>native atmosphere T42 Gaussian grid</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>history :</span></dt><dd>2020-08-15T22:41:28Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa 236-0001, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba 277-8564, Japan), NIES (National Institute for Environmental Studies, Ibaraki 305-8506, Japan), and R-CCS (RIKEN Center for Computational Science, Hyogo 650-0047, Japan)</dd><dt><span>institution_id :</span></dt><dd>MIROC</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>500 km</dd><dt><span>parent_activity_id :</span></dt><dd>no parent</dd><dt><span>parent_experiment_id :</span></dt><dd>no parent</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>2</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>source :</span></dt><dd>MIROC-ES2L (2018): \n",
+       "      shape=(5, 40, 64, 128), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cc41b4b8-3c3e-4e61-a3d7-f2c27cc6305a' class='xr-section-summary-in' type='checkbox' checked /><label for='section-cc41b4b8-3c3e-4e61-a3d7-f2c27cc6305a' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(38)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>branch_method :</span></dt><dd>no parent</dd><dt><span>creation_date :</span></dt><dd>2020-08-15T22:41:28Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.28</dd><dt><span>experiment :</span></dt><dd>AMIP</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>2</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.MIROC.MIROC-ES2L.amip.none.r2i1p1f2</dd><dt><span>grid :</span></dt><dd>native atmosphere T42 Gaussian grid</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>history :</span></dt><dd>2020-08-15T22:41:28Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa 236-0001, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba 277-8564, Japan), NIES (National Institute for Environmental Studies, Ibaraki 305-8506, Japan), and R-CCS (RIKEN Center for Computational Science, Hyogo 650-0047, Japan)</dd><dt><span>institution_id :</span></dt><dd>MIROC</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>500 km</dd><dt><span>parent_activity_id :</span></dt><dd>no parent</dd><dt><span>parent_experiment_id :</span></dt><dd>no parent</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>2</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>source :</span></dt><dd>MIROC-ES2L (2018): \n",
        "aerosol: SPRINTARS6.0\n",
        "atmos: CCSR AGCM (T42; 128 x 64 longitude/latitude; 40 levels; top level 3 hPa)\n",
        "atmosChem: none\n",
@@ -1092,10 +1108,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T19:33:33.267983Z",
-     "iopub.status.busy": "2026-05-30T19:33:33.267890Z",
-     "iopub.status.idle": "2026-05-30T19:33:33.273653Z",
-     "shell.execute_reply": "2026-05-30T19:33:33.273309Z"
+     "iopub.execute_input": "2026-05-31T18:59:23.057277Z",
+     "iopub.status.busy": "2026-05-31T18:59:23.057157Z",
+     "iopub.status.idle": "2026-05-31T18:59:23.064150Z",
+     "shell.execute_reply": "2026-05-31T18:59:23.063625Z"
     }
    },
    "outputs": [
@@ -1168,10 +1184,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T19:33:33.274752Z",
-     "iopub.status.busy": "2026-05-30T19:33:33.274681Z",
-     "iopub.status.idle": "2026-05-30T19:33:33.431334Z",
-     "shell.execute_reply": "2026-05-30T19:33:33.430987Z"
+     "iopub.execute_input": "2026-05-31T18:59:23.065451Z",
+     "iopub.status.busy": "2026-05-31T18:59:23.065365Z",
+     "iopub.status.idle": "2026-05-31T18:59:23.238179Z",
+     "shell.execute_reply": "2026-05-31T18:59:23.237662Z"
     }
    },
    "outputs": [
@@ -1179,7 +1195,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "output/04_hybrid_sigma_humidity_tendency/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tnhusscpbl/tavg-al-hxy-u/g999/v20260530/tnhusscpbl_tavg-al-hxy-u_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_197901-197905.nc\n"
+      "output/04_hybrid_sigma_humidity_tendency/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tnhusscpbl/tavg-al-hxy-u/g999/v20260531/tnhusscpbl_tavg-al-hxy-u_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_197901-197905.nc\n"
      ]
     }
    ],
@@ -1229,10 +1245,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T19:33:33.432755Z",
-     "iopub.status.busy": "2026-05-30T19:33:33.432676Z",
-     "iopub.status.idle": "2026-05-30T19:33:33.471317Z",
-     "shell.execute_reply": "2026-05-30T19:33:33.470810Z"
+     "iopub.execute_input": "2026-05-31T18:59:23.240010Z",
+     "iopub.status.busy": "2026-05-31T18:59:23.239818Z",
+     "iopub.status.idle": "2026-05-31T18:59:23.284106Z",
+     "shell.execute_reply": "2026-05-31T18:59:23.283722Z"
     }
    },
    "outputs": [
@@ -1807,7 +1823,7 @@
        "    area_label:            u\n",
        "    branded_variable:      tnhusscpbl_tavg-al-hxy-u\n",
        "    branding_suffix:       tavg-al-hxy-u\n",
-       "    creation_date:         2026-05-30T19:33:33Z\n",
+       "    creation_date:         2026-05-31T18:59:23Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -1817,7 +1833,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-30T19:33:33Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-05-31T18:59:23Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1841,12 +1857,12 @@
        "    vertical_label:        al\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
        "    cmor_version:          3.15.1\n",
-       "    tracking_id:           hdl:21.14107/646505af-8ff3-4d2e-bd1b-289a64341682</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-130919dc-7579-4920-9c3e-9c28f22cfd1e' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-130919dc-7579-4920-9c3e-9c28f22cfd1e' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 5</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lev</span>: 40</li><li><span class='xr-has-index'>lat</span>: 64</li><li><span class='xr-has-index'>lon</span>: 128</li></ul></div></li><li class='xr-section-item'><input id='section-ed4b016c-fa4d-418b-b724-4f0b2c2ce741' class='xr-section-summary-in' type='checkbox' checked /><label for='section-ed4b016c-fa4d-418b-b724-4f0b2c2ce741' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.5 45.0 74.5 105.0 135.5</div><input id='attrs-1ada68c1-0e7f-4497-9f36-5b6f3f924d2e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ada68c1-0e7f-4497-9f36-5b6f3f924d2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0491e252-9613-4341-b1cd-2253b689e2b3' class='xr-var-data-in' type='checkbox'><label for='data-0491e252-9613-4341-b1cd-2253b689e2b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1979-1-1</dd><dt><span>calendar :</span></dt><dd>gregorian</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([ 15.5,  45. ,  74.5, 105. , 135.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9975 0.9915 ... 0.0106 0.002905</div><input id='attrs-e669ace6-9077-4986-8a90-3aa338d4afdb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e669ace6-9077-4986-8a90-3aa338d4afdb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ccc0b73-67e7-4b23-8cd9-6f2a615c8ebe' class='xr-var-data-in' type='checkbox'><label for='data-8ccc0b73-67e7-4b23-8cd9-6f2a615c8ebe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lev_bnds</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>hybrid sigma pressure coordinate</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a b: b ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([0.997499, 0.991499, 0.982997, 0.971996, 0.958493, 0.94199 , 0.922486,\n",
+       "    tracking_id:           hdl:21.14107/132c5b50-411b-4c9e-b6da-e70a5cc40e73</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f74d41e8-c66d-4938-8b58-5fd20b1f2f2f' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-f74d41e8-c66d-4938-8b58-5fd20b1f2f2f' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 5</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lev</span>: 40</li><li><span class='xr-has-index'>lat</span>: 64</li><li><span class='xr-has-index'>lon</span>: 128</li></ul></div></li><li class='xr-section-item'><input id='section-b3c6ec5b-7fbe-4545-a9fd-a618dc6b5138' class='xr-section-summary-in' type='checkbox' checked /><label for='section-b3c6ec5b-7fbe-4545-a9fd-a618dc6b5138' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.5 45.0 74.5 105.0 135.5</div><input id='attrs-3efc2672-57e4-451c-93d1-3f52f1f54789' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3efc2672-57e4-451c-93d1-3f52f1f54789' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43ed9464-1434-4f75-b6ff-11b35756e535' class='xr-var-data-in' type='checkbox'><label for='data-43ed9464-1434-4f75-b6ff-11b35756e535' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1979-1-1</dd><dt><span>calendar :</span></dt><dd>gregorian</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([ 15.5,  45. ,  74.5, 105. , 135.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9975 0.9915 ... 0.0106 0.002905</div><input id='attrs-99fe4c42-e153-44c0-aa90-3b28bf5a90b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99fe4c42-e153-44c0-aa90-3b28bf5a90b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b6c2495-30c0-46a4-8650-fe30c85cbed6' class='xr-var-data-in' type='checkbox'><label for='data-7b6c2495-30c0-46a4-8650-fe30c85cbed6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lev_bnds</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>hybrid sigma pressure coordinate</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a b: b ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([0.997499, 0.991499, 0.982997, 0.971996, 0.958493, 0.94199 , 0.922486,\n",
        "       0.900483, 0.875977, 0.848972, 0.819967, 0.786951, 0.746923, 0.698885,\n",
        "       0.642833, 0.574472, 0.501478, 0.43645 , 0.379852, 0.330596, 0.287725,\n",
        "       0.250411, 0.21794 , 0.189681, 0.16508 , 0.143673, 0.125043, 0.108828,\n",
        "       0.094716, 0.082434, 0.071745, 0.062441, 0.054278, 0.046937, 0.040158,\n",
-       "       0.033613, 0.026593, 0.018613, 0.010603, 0.002905])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-87.86 -85.1 -82.31 ... 85.1 87.86</div><input id='attrs-3b5677ff-3a8c-4392-a3d5-dca18eabdd39' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b5677ff-3a8c-4392-a3d5-dca18eabdd39' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94edaeac-aba1-4929-a6e1-270f1df5ba21' class='xr-var-data-in' type='checkbox'><label for='data-94edaeac-aba1-4929-a6e1-270f1df5ba21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-87.863799, -85.096527, -82.312913, -79.525607, -76.7369  , -73.947515,\n",
+       "       0.033613, 0.026593, 0.018613, 0.010603, 0.002905])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-87.86 -85.1 -82.31 ... 85.1 87.86</div><input id='attrs-94d70c9f-3efc-4b5f-891e-cbd8fb9c3fe4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94d70c9f-3efc-4b5f-891e-cbd8fb9c3fe4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1b55f24-4590-4b06-b8a0-2c95a3850f15' class='xr-var-data-in' type='checkbox'><label for='data-a1b55f24-4590-4b06-b8a0-2c95a3850f15' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-87.863799, -85.096527, -82.312913, -79.525607, -76.7369  , -73.947515,\n",
        "       -71.157752, -68.367756, -65.577607, -62.787352, -59.99702 , -57.206632,\n",
        "       -54.4162  , -51.625734, -48.835241, -46.044727, -43.254195, -40.463648,\n",
        "       -37.67309 , -34.882521, -32.091944, -29.30136 , -26.510769, -23.720174,\n",
@@ -1856,7 +1872,7 @@
        "        29.30136 ,  32.091944,  34.882521,  37.67309 ,  40.463648,  43.254195,\n",
        "        46.044727,  48.835241,  51.625734,  54.4162  ,  57.206632,  59.99702 ,\n",
        "        62.787352,  65.577607,  68.367756,  71.157752,  73.947515,  76.7369  ,\n",
-       "        79.525607,  82.312913,  85.096527,  87.863799])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.812 5.625 ... 354.4 357.2</div><input id='attrs-4e41b5e7-d49c-417b-b144-dfcb511b6008' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e41b5e7-d49c-417b-b144-dfcb511b6008' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2529e27-c2d1-4ad8-b5ef-37a3aa0fa80b' class='xr-var-data-in' type='checkbox'><label for='data-e2529e27-c2d1-4ad8-b5ef-37a3aa0fa80b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.    ,   2.8125,   5.625 ,   8.4375,  11.25  ,  14.0625,  16.875 ,\n",
+       "        79.525607,  82.312913,  85.096527,  87.863799])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.812 5.625 ... 354.4 357.2</div><input id='attrs-76bc8012-9c52-4b55-b5fd-bd8fa6405865' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76bc8012-9c52-4b55-b5fd-bd8fa6405865' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b274fe3b-1804-4392-8ebe-e804dd451dfa' class='xr-var-data-in' type='checkbox'><label for='data-b274fe3b-1804-4392-8ebe-e804dd451dfa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.    ,   2.8125,   5.625 ,   8.4375,  11.25  ,  14.0625,  16.875 ,\n",
        "        19.6875,  22.5   ,  25.3125,  28.125 ,  30.9375,  33.75  ,  36.5625,\n",
        "        39.375 ,  42.1875,  45.    ,  47.8125,  50.625 ,  53.4375,  56.25  ,\n",
        "        59.0625,  61.875 ,  64.6875,  67.5   ,  70.3125,  73.125 ,  75.9375,\n",
@@ -1874,11 +1890,11 @@
        "       295.3125, 298.125 , 300.9375, 303.75  , 306.5625, 309.375 , 312.1875,\n",
        "       315.    , 317.8125, 320.625 , 323.4375, 326.25  , 329.0625, 331.875 ,\n",
        "       334.6875, 337.5   , 340.3125, 343.125 , 345.9375, 348.75  , 351.5625,\n",
-       "       354.375 , 357.1875])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-70d5e89f-ed85-48dd-b3d5-dd465517d76e' class='xr-section-summary-in' type='checkbox' checked /><label for='section-70d5e89f-ed85-48dd-b3d5-dd465517d76e' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 31.0 31.0 ... 120.0 120.0 151.0</div><input id='attrs-89eca149-31fa-4ea3-a304-b8766f366c9e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-89eca149-31fa-4ea3-a304-b8766f366c9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89602561-e439-4ff7-a97b-b259e2bd6f65' class='xr-var-data-in' type='checkbox'><label for='data-89602561-e439-4ff7-a97b-b259e2bd6f65' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  31.],\n",
+       "       354.375 , 357.1875])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9e1e16f1-dafa-4d39-b9db-5acf5ef2f893' class='xr-section-summary-in' type='checkbox' checked /><label for='section-9e1e16f1-dafa-4d39-b9db-5acf5ef2f893' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 31.0 31.0 ... 120.0 120.0 151.0</div><input id='attrs-e1f7ffd3-cfd5-42d8-a936-da460c3384a9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e1f7ffd3-cfd5-42d8-a936-da460c3384a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd053471-7336-48a8-8ee2-0cc7b1ad582b' class='xr-var-data-in' type='checkbox'><label for='data-cd053471-7336-48a8-8ee2-0cc7b1ad582b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  31.],\n",
        "       [ 31.,  59.],\n",
        "       [ 59.,  90.],\n",
        "       [ 90., 120.],\n",
-       "       [120., 151.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lev_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.995 0.995 ... 0.007 0.007 0.0</div><input id='attrs-1fa2555e-48c1-4230-a67f-203393e72070' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1fa2555e-48c1-4230-a67f-203393e72070' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16ca37a3-d97b-4b53-84a4-a713cb8a9910' class='xr-var-data-in' type='checkbox'><label for='data-16ca37a3-d97b-4b53-84a4-a713cb8a9910' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a_bnds b: b_bnds ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([[1.        , 0.995     ],\n",
+       "       [120., 151.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lev_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.995 0.995 ... 0.007 0.007 0.0</div><input id='attrs-7d6c6eb0-b911-483b-9cd7-bfa80a2d137d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d6c6eb0-b911-483b-9cd7-bfa80a2d137d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b798a908-5d03-4a20-acea-2e0ace3b5984' class='xr-var-data-in' type='checkbox'><label for='data-b798a908-5d03-4a20-acea-2e0ace3b5984' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a_bnds b: b_bnds ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([[1.        , 0.995     ],\n",
        "       [0.995     , 0.98799998],\n",
        "       [0.98799998, 0.97799999],\n",
        "       [0.97799999, 0.96600002],\n",
@@ -1917,21 +1933,21 @@
        "       [0.030384  , 0.022927  ],\n",
        "       [0.022927  , 0.014526  ],\n",
        "       [0.014526  , 0.007     ],\n",
-       "       [0.007     , 0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p0</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05</div><input id='attrs-da902c96-c7c1-48aa-a97c-7db58a1572a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da902c96-c7c1-48aa-a97c-7db58a1572a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a944a76d-b060-4db2-a9b6-87b95b41577b' class='xr-var-data-in' type='checkbox'><label for='data-a944a76d-b060-4db2-a9b6-87b95b41577b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>reference_air_pressure_for_atmosphere_vertical_coordinate</dd><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: reference pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array(100000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.001113 0.003782 ... 0.002905</div><input id='attrs-af987132-ecca-4ae6-ba87-8696dcc00652' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af987132-ecca-4ae6-ba87-8696dcc00652' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe086249-9d44-40c2-93ad-35bbdc05d8ac' class='xr-var-data-in' type='checkbox'><label for='data-fe086249-9d44-40c2-93ad-35bbdc05d8ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a</dd></dl></div><div class='xr-var-data'><pre>array([0.00111275, 0.00378219, 0.0075645 , 0.01245857, 0.01846599,\n",
+       "       [0.007     , 0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p0</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05</div><input id='attrs-eb470c76-8ad9-4294-b54d-70d751cca8f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb470c76-8ad9-4294-b54d-70d751cca8f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddd7a512-d8da-41b0-9baf-a81e0b7108a6' class='xr-var-data-in' type='checkbox'><label for='data-ddd7a512-d8da-41b0-9baf-a81e0b7108a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>reference_air_pressure_for_atmosphere_vertical_coordinate</dd><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: reference pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array(100000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.001113 0.003782 ... 0.002905</div><input id='attrs-e8d93fe3-6c13-4d52-8459-3bdcfb41e5da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8d93fe3-6c13-4d52-8459-3bdcfb41e5da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f60e134-e390-4282-8ee0-325db10cc409' class='xr-var-data-in' type='checkbox'><label for='data-7f60e134-e390-4282-8ee0-325db10cc409' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a</dd></dl></div><div class='xr-var-data'><pre>array([0.00111275, 0.00378219, 0.0075645 , 0.01245857, 0.01846599,\n",
        "       0.0258086 , 0.03448657, 0.04427587, 0.05518012, 0.06719563,\n",
        "       0.08010215, 0.09480408, 0.11264021, 0.13405917, 0.15908005,\n",
        "       0.18977115, 0.22239427, 0.2515278 , 0.27720865, 0.30309604,\n",
        "       0.2877251 , 0.25041144, 0.21794017, 0.18968127, 0.16508035,\n",
        "       0.1436727 , 0.12504333, 0.10882762, 0.09471573, 0.08243426,\n",
        "       0.07174488, 0.06244121, 0.05427773, 0.04693731, 0.04015774,\n",
-       "       0.03361269, 0.02659318, 0.01861324, 0.01060254, 0.00290465])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9964 0.9877 0.9754 ... 0.0 0.0</div><input id='attrs-022cf6b4-9b57-45da-8b76-dd0137fae147' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-022cf6b4-9b57-45da-8b76-dd0137fae147' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62cbddb7-388c-4a52-9eff-4f4441639b76' class='xr-var-data-in' type='checkbox'><label for='data-62cbddb7-388c-4a52-9eff-4f4441639b76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b</dd></dl></div><div class='xr-var-data'><pre>array([0.99638653, 0.98771632, 0.97543246, 0.95953703, 0.940027  ,\n",
+       "       0.03361269, 0.02659318, 0.01861324, 0.01060254, 0.00290465])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9964 0.9877 0.9754 ... 0.0 0.0</div><input id='attrs-022c7530-fef9-48e6-b3ea-5f410bfba0aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-022c7530-fef9-48e6-b3ea-5f410bfba0aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5b69d69-d2aa-4679-bdb1-fc2fc791358e' class='xr-var-data-in' type='checkbox'><label for='data-a5b69d69-d2aa-4679-bdb1-fc2fc791358e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b</dd></dl></div><div class='xr-var-data'><pre>array([0.99638653, 0.98771632, 0.97543246, 0.95953703, 0.940027  ,\n",
        "       0.91618115, 0.88799924, 0.85620666, 0.82079691, 0.78177685,\n",
        "       0.73986518, 0.6921469 , 0.63428265, 0.56482565, 0.48375323,\n",
        "       0.38470095, 0.27908337, 0.18492202, 0.10264368, 0.02749949,\n",
        "       0.        , 0.        , 0.        , 0.        , 0.        ,\n",
        "       0.        , 0.        , 0.        , 0.        , 0.        ,\n",
        "       0.        , 0.        , 0.        , 0.        , 0.        ,\n",
-       "       0.        , 0.        , 0.        , 0.        , 0.        ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ps</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>6.951e+04 6.928e+04 ... 1.029e+05</div><input id='attrs-6036487a-10a2-4d23-a147-892db5edd703' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6036487a-10a2-4d23-a147-892db5edd703' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d1c4c8d-aa06-4958-a68a-565983e1f02f' class='xr-var-data-in' type='checkbox'><label for='data-3d1c4c8d-aa06-4958-a68a-565983e1f02f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>long_name :</span></dt><dd>Surface Air Pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array([[[ 69506.68 ,  69276.34 ,  69050.01 , ...,  70217.68 ,\n",
+       "       0.        , 0.        , 0.        , 0.        , 0.        ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ps</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>6.951e+04 6.928e+04 ... 1.029e+05</div><input id='attrs-6d251ac2-cc9b-4436-a449-e82fa28560cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d251ac2-cc9b-4436-a449-e82fa28560cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88efdfc1-9529-4a33-ac4d-2a1acd9a4db8' class='xr-var-data-in' type='checkbox'><label for='data-88efdfc1-9529-4a33-ac4d-2a1acd9a4db8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>long_name :</span></dt><dd>Surface Air Pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array([[[ 69506.68 ,  69276.34 ,  69050.01 , ...,  70217.68 ,\n",
        "          69978.55 ,  69741.01 ],\n",
        "        [ 70131.305,  69566.664,  69032.41 , ...,  71992.38 ,\n",
        "          71346.164,  70724.734],\n",
@@ -1971,7 +1987,7 @@
        "        [102613.   , 102698.89 , 102761.94 , ..., 102212.695,\n",
        "         102369.51 , 102503.47 ],\n",
        "        [102897.48 , 102901.41 , 102903.77 , ..., 102873.05 ,\n",
-       "         102883.29 , 102891.95 ]]], shape=(5, 64, 128), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.002224 0.002224 ... 0.007 0.0</div><input id='attrs-d7e073d9-69f3-4d9b-8cc7-a2b8c7b949e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7e073d9-69f3-4d9b-8cc7-a2b8c7b949e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-542a4c35-c7f4-4a04-8d92-c7dd8b5c8ebe' class='xr-var-data-in' type='checkbox'><label for='data-542a4c35-c7f4-4a04-8d92-c7dd8b5c8ebe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[0.        , 0.00222387],\n",
+       "         102883.29 , 102891.95 ]]], shape=(5, 64, 128), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.002224 0.002224 ... 0.007 0.0</div><input id='attrs-1318bc70-6daa-4e8b-8757-745d0dd2d0d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1318bc70-6daa-4e8b-8757-745d0dd2d0d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-553f919c-0b94-4272-89bd-0d2eb8b30f4d' class='xr-var-data-in' type='checkbox'><label for='data-553f919c-0b94-4272-89bd-0d2eb8b30f4d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[0.        , 0.00222387],\n",
        "       [0.00222387, 0.00533729],\n",
        "       [0.00533729, 0.00978502],\n",
        "       [0.00978502, 0.01512229],\n",
@@ -2010,7 +2026,7 @@
        "       [0.030384  , 0.022927  ],\n",
        "       [0.022927  , 0.014526  ],\n",
        "       [0.014526  , 0.007     ],\n",
-       "       [0.007     , 0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.9928 0.9928 ... 0.0 0.0 0.0</div><input id='attrs-37cebea0-10c7-4658-ab79-02bf733dce61' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37cebea0-10c7-4658-ab79-02bf733dce61' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3369f1e-dd87-45a7-bc0c-56987c157872' class='xr-var-data-in' type='checkbox'><label for='data-f3369f1e-dd87-45a7-bc0c-56987c157872' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[1.        , 0.99277616],\n",
+       "       [0.007     , 0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.9928 0.9928 ... 0.0 0.0 0.0</div><input id='attrs-9b8e181e-742c-4c0b-bc64-cf6eab114d74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b8e181e-742c-4c0b-bc64-cf6eab114d74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03e81725-fc4f-45df-8075-c5416598b4b3' class='xr-var-data-in' type='checkbox'><label for='data-03e81725-fc4f-45df-8075-c5416598b4b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[1.        , 0.99277616],\n",
        "       [0.99277616, 0.98266268],\n",
        "       [0.98266268, 0.96821499],\n",
        "       [0.96821499, 0.95087773],\n",
@@ -2049,7 +2065,7 @@
        "       [0.        , 0.        ],\n",
        "       [0.        , 0.        ],\n",
        "       [0.        , 0.        ],\n",
-       "       [0.        , 0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -86.58 -86.58 ... 86.58 90.0</div><input id='attrs-ff54ea20-5d3d-4921-aca2-d6123cf41022' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ff54ea20-5d3d-4921-aca2-d6123cf41022' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-841b0da5-a2f8-48d3-ab1b-d3dbe3f3f884' class='xr-var-data-in' type='checkbox'><label for='data-841b0da5-a2f8-48d3-ab1b-d3dbe3f3f884' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.        , -86.57774751],\n",
+       "       [0.        , 0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -86.58 -86.58 ... 86.58 90.0</div><input id='attrs-00660549-4b8a-4aed-a7d6-e29edadf198b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-00660549-4b8a-4aed-a7d6-e29edadf198b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96233f3a-7286-4bc2-b2e2-71d6e22cf565' class='xr-var-data-in' type='checkbox'><label for='data-96233f3a-7286-4bc2-b2e2-71d6e22cf565' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.        , -86.57774751],\n",
        "       [-86.57774751, -83.75702878],\n",
        "       [-83.75702878, -80.95502019],\n",
        "       [-80.95502019, -78.15834785],\n",
@@ -2089,7 +2105,7 @@
        "       [ 78.15834785,  80.95502019],\n",
        "       [ 80.95502019,  83.75702878],\n",
        "       [ 83.75702878,  86.57774751],\n",
-       "       [ 86.57774751,  90.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.406 1.406 1.406 ... 355.8 358.6</div><input id='attrs-06c3b9d6-7d2d-4e6f-82f4-6bb8afbb6fde' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-06c3b9d6-7d2d-4e6f-82f4-6bb8afbb6fde' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec107bfe-0389-4490-99f2-54f78d781f32' class='xr-var-data-in' type='checkbox'><label for='data-ec107bfe-0389-4490-99f2-54f78d781f32' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -1.40625,   1.40625],\n",
+       "       [ 86.57774751,  90.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.406 1.406 1.406 ... 355.8 358.6</div><input id='attrs-c3536147-7520-4295-815b-907ced4f8aca' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c3536147-7520-4295-815b-907ced4f8aca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3ed266b-327a-4844-9f6e-fe4ddf07e29b' class='xr-var-data-in' type='checkbox'><label for='data-c3ed266b-327a-4844-9f6e-fe4ddf07e29b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -1.40625,   1.40625],\n",
        "       [  1.40625,   4.21875],\n",
        "       [  4.21875,   7.03125],\n",
        "       [  7.03125,   9.84375],\n",
@@ -2129,7 +2145,7 @@
        "       [347.34375, 350.15625],\n",
        "       [350.15625, 352.96875],\n",
        "       [352.96875, 355.78125],\n",
-       "       [355.78125, 358.59375]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tnhusscpbl</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-99a82aa0-3ec9-424a-9f8b-d6ad5f989db9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99a82aa0-3ec9-424a-9f8b-d6ad5f989db9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e66247d-d7ed-45cd-9162-8c8cd1fc3a65' class='xr-var-data-in' type='checkbox'><label for='data-0e66247d-d7ed-45cd-9162-8c8cd1fc3a65' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>tendency_of_specific_humidity_due_to_stratiform_cloud_and_precipitation_and_boundary_layer_mixing</dd><dt><span>long_name :</span></dt><dd>Tendency of Specific Humidity Due to Stratiform Cloud and Precipitation and Boundary Layer Mixing</dd><dt><span>units :</span></dt><dd>s-1</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
+       "       [355.78125, 358.59375]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tnhusscpbl</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-df8349ac-5031-40b4-ab0a-e2acfa0e2624' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df8349ac-5031-40b4-ab0a-e2acfa0e2624' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3dae215a-9a17-4cda-8e26-68f83bbefef6' class='xr-var-data-in' type='checkbox'><label for='data-3dae215a-9a17-4cda-8e26-68f83bbefef6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>tendency_of_specific_humidity_due_to_stratiform_cloud_and_precipitation_and_boundary_layer_mixing</dd><dt><span>long_name :</span></dt><dd>Tendency of Specific Humidity Due to Stratiform Cloud and Precipitation and Boundary Layer Mixing</dd><dt><span>units :</span></dt><dd>s-1</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
        "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
        "         [ 0.00000000e+00,  0.00000000e+00,  1.90706153e-12, ...,\n",
        "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
@@ -2169,7 +2185,7 @@
        "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
        "         [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
        "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00]]]],\n",
-       "      shape=(5, 40, 64, 128), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-24bf6cdb-4f43-4060-bc8f-ae8744d00ebb' class='xr-section-summary-in' type='checkbox' checked /><label for='section-24bf6cdb-4f43-4060-bc8f-ae8744d00ebb' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>tnhusscpbl_tavg-al-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-al-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-30T19:33:33Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-30T19:33:33Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>variable_id :</span></dt><dd>tnhusscpbl</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>al</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/646505af-8ff3-4d2e-bd1b-289a64341682</dd></dl></div></li></ul></div></div>"
+       "      shape=(5, 40, 64, 128), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3c9185fe-9a04-4aa3-9ce8-e20a54bdc8dc' class='xr-section-summary-in' type='checkbox' checked /><label for='section-3c9185fe-9a04-4aa3-9ce8-e20a54bdc8dc' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>tnhusscpbl_tavg-al-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-al-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-31T18:59:23Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-31T18:59:23Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>variable_id :</span></dt><dd>tnhusscpbl</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>al</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/132c5b50-411b-4c9e-b6da-e70a5cc40e73</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 7MB\n",
@@ -2198,7 +2214,7 @@
        "    area_label:            u\n",
        "    branded_variable:      tnhusscpbl_tavg-al-hxy-u\n",
        "    branding_suffix:       tavg-al-hxy-u\n",
-       "    creation_date:         2026-05-30T19:33:33Z\n",
+       "    creation_date:         2026-05-31T18:59:23Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -2208,7 +2224,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-30T19:33:33Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-05-31T18:59:23Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -2232,7 +2248,7 @@
        "    vertical_label:        al\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
        "    cmor_version:          3.15.1\n",
-       "    tracking_id:           hdl:21.14107/646505af-8ff3-4d2e-bd1b-289a64341682"
+       "    tracking_id:           hdl:21.14107/132c5b50-411b-4c9e-b6da-e70a5cc40e73"
       ]
      },
      "metadata": {},
@@ -2258,16 +2274,16 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T19:33:33.472708Z",
-     "iopub.status.busy": "2026-05-30T19:33:33.472606Z",
-     "iopub.status.idle": "2026-05-30T19:33:33.606746Z",
-     "shell.execute_reply": "2026-05-30T19:33:33.606299Z"
+     "iopub.execute_input": "2026-05-31T18:59:23.285463Z",
+     "iopub.status.busy": "2026-05-31T18:59:23.285365Z",
+     "iopub.status.idle": "2026-05-31T18:59:23.441372Z",
+     "shell.execute_reply": "2026-05-31T18:59:23.441005Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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HhUFCZxaZIGzDz3/+8+IMmyoy3a/n+hycr32ej+OyYMHC9IKMJDLVOKegfsP5BjVIqO/AeQn1NiikSnYZHYDUlrBwdlgRaQsWZigodMOoJqO8UwHFqEgV5UQz00R+OkFDmsY7lZ8ni2yj5OeCRIRmvApzJuojz4MiYBx4SI+ngFCifjZBmjM9y5y08zqRYk0BrISSNdtiso6QRPQydfLL/YxXlW5tbZWBOBWJMkTjtz0bqHZNA2Q8qAqd+PxCg8YAnT50ZDCSRm897+N0RsL4Nku0RbbtkADPl6WgKBKXinRtNBkkhLPoFKMjIN2SKv5HJgep2g8//DB+97vfyT2QoHUTCSYIv5Npf1NJBZkNIEuDbUVnFhkNFHDjs0vhsQvdz5AhQEG7TM8WnTrjo9qTwYU8BwsWLJwfkMX2la98JaMwJJlKdJYybYn9GoMiqSk/2eLpp58WVh37RI6NTBujmOqzzz57DmdxacEypC1YmKGg2is70ve85z0SoRoPGm/jyy2lgt8j5ZOR1PMNlnqhOnW2kW+e37mWF8rWsCG1KgEapeMjyDTgxkdxEo6IBL2beamp4OR41apVY7YhPZzU+nQ55eP3n1CgToCGJI06DrqpoAI11X8TiEaj8jcn71SGzgZU/+ZgmuqoYXtQRZkDLvPOLwZI4+Y1oGOCRm1qLfNU0MhOzQnmuVCpeXybZdMebF9671PZCiytNBXwevCeo1L4eOOcGF+aiIYwVahJ6eZCqnIqlZksCKo+83rz3jjb/i4VjH8W6eDivctnLKFxkEiHuBB9DZ0+nKj+6U9/GpNmwD6czkZqEiRSd3K1r7RgwcLFAZX2OSbTac/qA6wYwNSfdI7jyYCVOeicTTjcOSehTsNUx8lLERa124KFGQpOwjnxYqSFUWXShplzS+OJXkZGrRJ1VzNF2FhD9UKAEdup0LppbNBwoYeWtFQaCywNdD7AyS3zCFkii3VlOeFlmSwaoYxiJUDDmlFmeox5DWjgssQOJ780thJOCoo/8ViZS8moNg0uGtyJHGP+Bg1iDoSkcfFc+R2Wv2Lt59SayTSgOMEm5YoTbpauYXuwHFQqSPcnVYsTdObO0uAixZzGb7alzVg+icJeHFBJ8eIx8NyZCkB67MWgQxNr166V+5z3N9uSZcPSge3DNqM4GJ0XbDOW8KIDaiogu4ClpdgubF8aYyx5lshjzhZsP+ZCs31JqeO1ZZSBxv+jjz4q9xNTBxLg9SPVjxMoOjRogI/H9773PTln1iznvcEoNe8XTrwouMVJUrb47ne/KwYa2Q4Ej4n7Iii0lsgB5j3+y1/+Ut6TpUHwuU30Nal57IkyTxeCVsznmvR/XjumBdChx3NiBCYRoU84mVg6inoRbGte77OV6Jsq2C7UluC1op4C8/TpAOF9yrJxU8GF7CstWLBw4cF5SIJVw7GeYHSaKStcn5rqM1lwPKO44ZIlS2TOQ+cw2TrTmYI322EZ0hYszGCwpi+9ksyzZISDEynmUzL6yUjzeEPrYoC5m5z80+DJVpiJeYycoHNySYOVQl/na3LIyTOjw5zYUnyDk2/mkJPyTSMnAR4Do5s8JxopNCQYHaSzIBEhZJSUxisNbhoh3BcdHnRcJAxQ5r9SNIusAP4ujVROfqnYPF78iorovM6sscx24Dbc9/iaxzxW7ocGDo17Gg40GqZyH/C7dMhQrIlOANJgeV/RkKIRcjFBpxEN4nQiY6nbsK1pQFNki9eIbUHBsKmA+6KTg/cEc7NJpeXzx+eMxv1UQIOSRi7FXXhsjEzzXiFdL1V9PQHeQzS++dtU5x4PGvc0Ypn7+7Of/UyisbyneHx8lqYCGuyp6Q10HiRqpvM+TxjSdLDwuUlF4m8+M6nXKnGeFwJsRz6b//7v/y6/y2eLjqHUuuOXXXaZXAM6sDgpZZ/F8zlfhjQdJ3z2P/3pT8szzd/jNed9Nb6GdC72lRYsWLjw2Ldvnxi6CYHJBOiAo5M4kR6ScNZnAsf0r3/96/L+t7/9rfSPDMqwX6LjnWMcDXUKYVo4OxTWwJrEdhYsWLBg4QKDuU/btm2T6CtzlyyYYMrCxz72MYkMp1Nkt5C7oJFHdgMdHFTQtmDBggULE0GHKZ3sFJokyDBjpJh6LON1QeiYp3OSjMSzlZyk0Z0oE0g9BkalU/tislro1EvooVg4M6yItAULFixYmDGg7/e///u/JeJmGdEzD9QgIIU9F9gyFixYsDBTQGYRI9JkWLEOfDpQA4I07cmCpfjGp2nRSE9UgbBwdliGtAULFixYyHkwL5jUauYPk+LGVAYLMw9MC7jYqQEWLFiwkItg+kmisgfBFBPSrcniIaWbEWmmLSVSiigiSbEwpl1NpV+lFgRzoumUJrWbwrBMg6Fui4XJQZ0KLYv8eYqHsGYjFd927do1JlrAXB3mofFzKo2OV5NjThhFd6j8ysjCeCqD2+2eUHKG1IYzCSdZsGDBgoXZC04YqPpOmjtzxpmfbMGCBQsWLMwWUOOCBnJCd+PjH//4GI0LiorRkP6Hf/gH0ZyhbUQbbKrsLOqfMG2M2jDMraZ4GXUlqBlh4TzlSFPshLVPKWrEZHTy6P/jP/4DBw4cELoWFWMpnkHBGwrvUGyE0QN+TgM5IYjCi0RjmzcEIwyJuokJQ5pCKqllZ3izFBYWioCKBQsWLFiwYMGCBQsWLFiwMCMi0qFQSMqeUBXyqquukhILVKHlKw1r2uQUEKEaJgt8k2rA+qcsm8GanqkUPSr4srwLVWZT66Mm6qTRQKfBbsGCBQsWLFiwYMGCBQsWLMxYQzoej0uieyKynAAp3CzgTS5/e3u70LkTYGkMlnMgnTsBUhRIIeBnV1xxhUSoU8F6jzfffLMoyVmwYMGCBQsWLFiwYMGCBQszVmwsLy8PmzZtElo2DWHWGf3Vr34lRjKj0jSiCa5PBf9OfEa8+93vxpve9CaRaWdEOh1ID2dEm7UWM6nTpQOV5hgB57GSJm7BggULFixYsGDBgoVLE2TMkv3KlNTxKtW5gHA4LDZRroEq4OODpxbOUbX7l7/8pai5MR+aEumkaN9+++14/vnns9qPz+eTJRMYpWb+NKPSTz311KT3SyM6kW9twYIFCxYsWLBgwYIFC6dPn0ZtbW3OGdF5nkLEEUGugbWpyTa2jOlpNKQXLFiAxx9/XPKcBwYGRDCMAmTz58+XBic6OjpkfQL8myrd2eKLX/yiyL2n5lefDYxEE9dU/h3sqgvTBSNDTTUlBz1blzrchQbiYSAethgJlyrsbgN2NxDut+6BSxaKAX8FMNRu3QOXMvxVBobalIs25mfaj4ULB3+1gaFWqx/IhNkwj830nP3Xjk/I665dO3H7G9+QtBFyCYxE04heqlwHWw5VJdYQx8H2h+T4LEM6M6Z8xRIR5b6+Ptx///0iQEaVbhrTrGmWMJxpbO/cuRPvf//7s/4NRpYpPMZSJzTgJ4MEnZtGtGMaDWkd6R/SXKSIXOpw2AwoNg4O1sB5qcJuM2C3AZp1D1y6UAw4bIDDugdwqY8HU7kHpmvMz7QfCxf2HrBb/UBGzIZ5bKbnrGYk+tx4wqzNnMspnzSibYoDOYOsajpdusj66aHRfN9990mo/8EHH8S2bduwZMkSvPOd75QblDWmv/KVr+Duu++WslekZzMngeWrpoJPf/rTQtd+6KGHpvR9CxYsWLBgwcKliRyeN1uwYOECYSbYhIpiy7nFwnmISAcCATFum5ubUVxcjNe//vX4l3/5FzgcphflE5/4hNC+3/e+96G/vx9XXnmlGN5TpQXwNz75yU9KVNqChVnTY1o4/7Dug0sehnUPXPIwrIDwJQ+rH7CgKuqMYAbk0nEahspQv4WzQDEoZTeLQCo5y2pdV/2R6aV2Z8i/mA2UmNkGZ54BLQpoESsUcanC5jJgcwLRQeseuGShGPCWAMFu6x64lOEtMxDsUi7amJ9pPxYuHHzlBoY7rX4gE2bDPDbTc/bHpm/K685nduCarZslGJifn49ctFtW21+VU9RuzYhhT/zPOdlmuYTcyWq3YMGCBQsWLFiwYMGChUsMuUanVqxw9KVtSFPBLxdFPi6Wd3o2eBwn26YkWegG1yvnte2m61rO5muTLS415sdsiFbN1mtzMXGpPQfnu32msz2tMfziYirtrygq1DRiY+f7Wp7vucN0IdeO51JFTlK7LZwVVitZsGDBgoVZiVmVt2TBggULFqaEXFbrtjCzMWsj0hYuYSjy38Klfg9YbsJLHtbcyYLVD1iw7gELMyHqTuYEl1yBYsVaJwXLkLYw6yApJpYljUvdgMqh8cjCRYJqjXCXPHIo5dDCRYJ1D1iIx6I53wiKULtzp8PSDe1iH8KMgDXVtGDBggULFixYsGDBggULFrKA5a+3YMGCBQsWLFiwYMGChYsEi9o9MzFrDWnVZodNtcMwcisvwlJdnVk5KxdCnXumtMPFRLZtpOvTq9w+FRjQEVMHYcCAXfdAhRPKGXIO4koI3a4XoSnRkdwkbq0AxsgrVPNVMSW0uN/EL6X7O7EmkSec+rlHL0WZtuaMxzMeup4dzStT33vBcsAUA4os5u+p6sWjzGV7zpnaLtM1mK5xLtvn7GKNZ9n8Lu//S7Hvnc3nli34fFyMsSBbtfhM/cR0Pd8XK/92Kn1vtuPNbBCeZDvlErVbNXLnWHIZs9aQtnAJYyb0mDMANARp1GlKRBZdXhN/R8es0xXmHyWMvhGDL/E6fp3B18S6EYNR1iW2UaApYcTVIGLKMPzxWhRFl8CABl3RYCAOQ14Bp54Hm+FObxBe4PuAxxe29aLbtUeOPRNsuhsOPQ9OPV+O3254pI263S8gPzYfHq1sxOjV5XxDti6EbJ2I2gLTdqwRtR/99mOYE30ZHIYPCmzJ65GNcZ3rMKy+4JJHjvnSLVwEWP2AhVwqK2VhdsEypC3MOlAfwRo4zxIpVYYlWhpVB2WdzXClLG4x3Hrce+Uz1XDCpRXBZjiT29AQHN3eCdVwjOzbNAANiZrq8jd/j9HB5Gdp15nf6XI/P+F4hxynEbb1QDFo7NnES6pI12Ugqg7Id116AZx6AVxaIbxalVz/TDoZ5q/SKI/Jwv3SmEyHoK0dIVs37IZXoso0ejNFl8NqH9o9O856f2pqWJYwusSA9mil4pQojiyHT6ses22v8yUEnMfHGOFOIw+qYR9pi5FXGsKGPe2rTXXLq7mtXc690fUX2V+7/VlxSsQRTka6FSNhUJvGdWl8FfL1OsxE6PGLfQQWLjase8CCYfUDlzzsDnOOksuwqN0zE5YhbcHCLIIODZoSQlwNIa4ER17NhaDRFLH1TfieQ8uDw/Ano89ckvtUorKv/Fg9vFrl5A5kfCRwkpFBz3CpmLkJAzFddJSGYJwRa4UGaQhRNYBB+2kxeF22QtjDXgTtvYi5uhF2M3JtJI1mXYlLRNs0Qh2yMHpcHbxK9h20d8hv02Cm0UonAiPCMdsg3PFS0+hUQrIvc5tR45qvlaHNiKh96HMdnHDcTq0AebF6aU9G8Xkd/LE5yI/PzdgexdHlsoynBUaUAIbsLQipnYjY+jFVxNShEQeFatIH6dxQTMdGWWwFvEa5GO5nA9s4qgTEMZMw2GmQq2OMeq63ogIWLFiwYMHCeHBsz6XIuWrkzrHkMixD2oKFGQgNZikHG5xixJz0/zntdjT+GDG2G24x3GjQMPJJai8NsLg6LNsx4loRvmzMd3XExxjWdt2f9jdiShBBe5sYiTSWpoKw2oM271NpP6ORT8M3rg6JISzrdL8YumLMGm7kxecg4Dghx9nl2Q3FGYXT5kTIPjRmX4WRxSiILRhznP2Oo2j1bhfDzxuv5OiBYaVVDGYa6oncYka/q0JbxLBMGvMJh4USElq3prTIOhrotcMvgw0unA80ex5NvqexT2aAZFLLwGfS5hOvNGQT74dszWn3x/agI8WuuzGktsJjlCJfnyvfCSldGFY7oNkipvMBpgPCNIxtCKvdGFbbZD2ZAQn6Pe8fXi/zPgqLgW7XfaiP3DCr6OMWLFiwYMGChUsTliFtwcIMAI05RjpD9k4zQqqaBiIjoW6tFEWRJWLo0mBu8z6Z/F7Y3j1hX71pcm1pULe7d4qxbeY7A2Xh9fDHa5K0Zx4DDUYa4aRbB+3tY/ZB+rdbL8763NrdOxCyd2X8nNHg0YagsVsuRt+wvZVZyfDEyyRC7NUqUBG+XDaz6QbscSA8xHzgXgw4GjHsaEW/67A4H/Jj85K7pGHt1krg0ovSGng0BE2jOmzmM4tZatLBHVp6Svj5xoLgLZPe1mZL0O51HKUhbSgo1hbDZRRJOzoNnxjBMQTR6ngKXqMCPq1SaN8htQsuowA+vVKcFzrMyH5cGTYj/NDkmtfErxpzn9DRoBlRuU8D9hNCzSejgTngSkL9zIIFCxYuAKxULwszYdxRFJssuQLOcyxcwoa0qN+pNths7mnZXyYFQU2LIZeQayrlU1GuzHY/E0Bh46z2fObjmS7106nsJ2GUMPc2lZJdGl4rIlykNdNIIa054jwOu+5FfnS+5DD3uPdM+ndo8CSM8wSYr9yF5yWKmIhcnwk04OuHXjHpqHREDYhTgJ21O14i32OeNKOXMYXHosBheIV6LMasGpLzcoCGnz0p6JWvz5f3bm2Ugqwk7wMFbr0E7kgJMMpWHwNGXc/kAOBvCb05Zf8XE9nfR7G0BrjdPhItV4Cw0odm+xPS9mQnOG0+FBkLUatfKY6HFvVpDNmOynUgvT0VQ2hGN8x8+gSYQ26DA3Z4UIQGzMW1UB12wJG5z8x2/dn7OmPMdpqWrfJ7+u0dDte0KeImnBwhdMMOLxzwTnB+RDEIFwrk7+lqO03LLmk02746U1tkq96brYpxunFaUXNvTDwTLkWF8fOtCG+zG1BVZdL3V+L5u9DI9Lyeb7Xt6Xoup3NemumYpqrmPROeH9K6c6myj6rnzrHkMmatIW3h0oU49HLf+XhWhNXeMdHlVAiVOj4HLr1QFkZVZdKtDohRzc9Jv6URzEgxDWEarcXRpdCUGALOoxP2yXxfgnTmVPC7pFF79TLYNX+KwBgpxQlaMWm+Z2/0Jt+9EskcD/NYvWLQ+vUaGEoc3c59iCqDYjwzWkzqOEHHAhQd9cGbmMAt0dQJoBFtOVMnDUb2i7RF8BlV8KqlE64lHRupefNnAq/IMrw5J+jbao6McHw26axwG6bDpsNmiuo5FZ+4ynqUl+hOEv6DGyXwogwelKIfxzCA0yjBUsQwLM4nvtJB4TaK4EaRMAucyDtvaQQzHblyD8wkaIiJc9LU2QiKAy0vXi+OWzo+XVpB+n43R2GNBRbiMZNpZ8HCdMMaYixYyFEwpzQdPPFRCvN4AyZhWCO2UCbvnHiHbd1waF75nFRcGtaMWlOZm1Foj1YOf3yO5MfG1GEMOpomCJJ59DKURdfBYHHmsx33iCo3Dd5T/vuS66monc6IrgxtkpJPRMIba+Ylq5I7LaJjhirHOmRrkfxbv1Y7oixtdWHTARrQXIh0BvBc/Qb0KAfRoU5UVSdKsRxVmHhPzlbw/mTuOPUBSPsnBT6odiQ/r4ldKYYzo/dF2mIxRE45HhJHUbG2HGGlV1I1UnYoUedhpQ1DaJGF93chFmIurpOINY1rEbWDB4NKM/qUIwgojfJ1m+rCwtjk6f4WLLB/NtOERg3mxKvwcHQvHLpX0llYOWDQcRJOvVC+F3UHxIFaEdqYseKBBQsWZrhqdw4dSy7DmoVasDCNoABVl2v3SKTWnSwnZU+8pxI0HJOK1rEsUv3QK03hJiUu9O7EZKfN89RIvmpC0CmWLF9E1A3dKBEqt8685SKZ+HNiNOA4gaitP6nUbB5zUGjcDt0Hf6xOaOOkwTECSXEqimgN2U+jJLpcKLuJaDnLZ3VnQR8viiyXY5RjlfMrS9LAhcCusASTNlIKS5cayzwmiebZejBga0JevBaF8Ybk5E1nGS0LFwTFxmK5J+MIIaCexDDakW/UoUxdIZHRSwlsg1bHDrmXCzWyQcbSDbtt+yQFwWHk4aTjPuTpdfLMFeoL0GPbL0wLr16JqDIg+2B0mYJtqWBEmp8F0AQ73AjCFH2LoF+Mbuayl+or4EEZVG3mRAct5AZiSgj9ziNmCUFFF1aQN16BwugicfioIwKGRGF0yYhoIZL9dYv3UbOM4Qi4n27XXhRFl4ieArUpaISTTWTBgoVJqnZnSbM/n6BUqYWzwzKkLViYRtCApoFKIS6zVrK53qnlJw1tRqkSNZgZHebEI1NesTl5YakmJ0ojq2Vi3el5LiXrNWXbkXrOnMSwvBL/5kQopHaj0/OsCD2x1jJp3zwOUXQ2HIjZzNxoRqNZtml86aY5oWuTJZAShmsmyvl4VIQuT1syi9RBGuiMylE9nK+MPDMfd7SO8chiqCKKNSe8LSn2ZeHCghPnIDrRox5EGL0oMhahyrhcDDzmQl9qYC7zvOjL0WM7gEHbaZTEl2JOfJt8RuOYwm3SD6gdyNPnCHWezz0j2PXx6yRCzXuduZikag8pbRKVDiqd8qx5lQoUYYGo82uIII4I7LCjXF8LD4on9Bd8nixYyAZOw4/q0FXybDN1I2obMEsJOk6hR90nKUC8KU1jeqQSgCG1AWRk0lnJwfDIOMfKB4xY00nc6X5O7mVqU8TUARmHKO7oi1dftPJ3M0BnysJ5xiQrcFqYBnzve9/DN7/5TbS3t2P16tX4zne+g8svz8xY+93vfofPfe5zOHnyJBoaGvCNb3wDr3jFK2bMtbAMaQuzDxexx+REoTy8AcP2NnS7X0g5JENEnKgObTM8UCUibBPadYv3MYkCe/SSM+xXSdKf5w69SqLFjC4HnMeS2/hjtSPbKGjxmeWRCiNLMOhoRElkNYK2DoTsHULvNg1Um1k2ynlcDP282FxEbZxINcl3K8Ob4NMr0h7PvKFXj5yXLpHkgOM4BpwmzTQVLs3MCeU2w7Y2oYzTcObxO7VCiZZTzdmlrxHHwrQKbVgj5zQ0oYGAcgI9yiGZPhcbS1FrXDUmOnWpqvXSEC7X1qBQn48u2x70K8eRr9eL8RxUO8UBRKOY6RUJ9NhekmVB1KRhB5ST6FL2iOFNyrbXqBQVdbdSBB+qJjBXLIN5CrD6gTOC9xjvU2ecztKaNM3HBtRHXkfSdhQDiqFIuk2Xe7fUi+cYQz0NMpxoULOPN3Q/wrYu2SYY60B5ZD0uBnJQg9XCBUYu1WeezdTu3/zmN/j4xz+OH/zgB9i4cSO+/e1v48Ybb8Thw4dRXl4+Yfunn34at99+O772ta/h5ptvxh133IFbbrkFu3fvxooVKzAToBjG7CoMMDAwgIKCArx6wRfgOINid6YJu2pL77pUbOm3tzvVrLbPtP/IUPqIQiycfn08nl74JxYLY6aofGerojhZNVNXvoF4FNDCF8cNzePkdKPL+aIZddYLxCvPCQgnGmZe5fBIbhrLCJkKuoWxRSiJLZu02rlZEqsfIbUTUXVwhGZnCE1PCNTKEDx6uRjvLEHECAIj0YwQe+KlMhlinjR/nyWlGK2mEZ0oa1UQXSACX2L4pzGcep0HEbS3ylQsVfHbFCarQGl0ZTJyRuOi13EQEUYoYJNjYLtw4e/SKDlTvnW2hpvTa4fNaSA6eG6DUiwWyUo59GLSsqbrmFKfM9Lpu1wvSCSKqQJkO8ikW8+HX6sxI9IZFG6zVdt2Ok3F6skrQJ9FcVcx4CqMIdLnPGPfmwk2py2r9f2xUwjETqM9cuZ0hzpsQwHmogv70ascwnzH9fAoxWPO01fszuq39QyK5OFAJLvxJsP9no1K9pkwXc9Hpt9NNy56ywwMdaSf5pzJcTcTVH4vJji+NPsekfdMG0qkMlFrg690NdEAN8UiC5O17s8VU3G28h4IdikX/BrbbPZpUaTOtP10qNqbx+nIav1Z+97x22fZ955pDp0JWjT9uf1i3yfkdeczO3DN1s0IBALIzzcZgrlmt1xb+SHY1dwRjYzrETzc/p2s2mzjxo247LLL8N3vfjf5jM2ZMwcf+tCH8KlPfWrC9rfddhuGh4dxzz33JNddccUVWLNmjRjjMwFWRNrCrATzigftbRIJNfOIWfM2Bk2NjAz6puo0I7KcAEw3OGEoj66d+EGa8Y30TeaXZSvaYpZ2MnOgzwQaogH7MSkfRZDaTQNaxGQMPyK2TkRsvWOiyCWRFWJUN3sfFYOEEQcqgJPKR0OZ60jHptiMHMlIaRG2u9PIn0Dho2HtjVSYyuLKoFAIGakLOtrllRTzRDmrdKgOXwmPXppV+1g4d9ARQjE60pVZR1uzhRGGWZt8SDstxnQxllw0ymYuodBRJ0uevRJHh++f8DkjzlTfzkcd2vAshtCGxc7XwKGkdyBYsJDL4NjBcodmrVlDxjAyjqifEbR3iG4AjWiylViFgU44LhS29GrpmU4WLFjIPdDQT4XL5ZJlPKLRKJ5//nl8+tOfHuN0ue6667Bjx460++Z6RrBTwQj2H//4R8wUWIa0hVkFRmiDznYE7K2wDReIcSpGmhKUKKgt7kRY7UfAeUQirb54VVaxTir0xpThaTXqGI3l/szoayInDRi0n8awvVX+Jk00kafG6Cyjg0UxGjBn9vTGERZKt1srFYdByN4phnBV6EqZ6DCS7NQKZKLjjVcK/TwxKSJVnKW0dCMGXY0K7TuKUZoq9zNkb0FRbDFUOb6zQ5TFjQK0OrcnI/FEOjXvMW10HpwdFs5+r5MtQJE55vfSESP5ukpImA2aEkKP44CwG7zGRMrWpYoix3wsy3sdeqJH0Rs9jpgRlPJU1dgEL8pxGttFrGw+Xm4Z0TkMUwAxIqKKZPywr8yL1ZlVESwkHW3sE5iexD6amh80kqn7wbHkpP/PyZaSHGzbgAhHitCk4RBhs0TZNjpZRwU0zfGA/U8ulNGzYOFCQBGxsdxxSicc5Iwop+ILX/gC/vmf/3nC9t3d3dA0DRUVYx1l/PvQoUNpf4N51Om25/qZAsuQtjDjQeEeGpwDjkYZgCv0BlQHt0CL2DHkOIV+xzHYDAf61aMyyA/aTyEvNk8MyV7XS1I/mVE3KhJnEv1ifi/3TwOT2/hjc4SKne0gH1S7MGhvEmqs7MuwSz4ZX4O2TomgV0eulMivWysWmnXQ1gavViW1OykiZqhR9NkPC12bExIaOYzyJiK6NGxhqOhzjhUNI2y6a0QB/GlxIjD6rCtRDDmapQ3HR4WLIyvkXGXCpIRHJpTmxDJoa5+y+Fdd6HqheXOfNMx6nQfGfM5cOt+ISNn4eqXM8Y4pg/J9tn9CuE0WipVZ0dFzBlkSp9wPi4OFzwfblRPfVBE4OqL8mknptDAKRVEkKs2l3rMFQ1oHugcb0Yk9UsYqH/WYi+tnTJ75bIApqMU0moiZMi0VDgy5VsncX0UXhyv7Nvan7OeoI2FWD8iT/o595qUKthONYI4dnnjZyHOvSP/N8bMsMpGBxYg1xxuz8oQmY3W79ykMqc3yObVExIQecaqyj+FYw9eE/gYd4BQqY4rSbO3bzXvQwvkEn3ULU8Pp06fHULvTRaMvZViGtIUZCw60Te4HhHKaQEKFOmpvRq/3uJTeqAxfLp7tYVsrhu3tQkUbcB4fs694PCTiYDRwOUmggcqamQlDmZFc0tZKI2skAtfu2SlGe1F0sRh6VC3lxIu/Q4Eu0pszHfWQ3ZxEJEDjnlGOgvh8ifS1up5CdXirRNMrwpchrPahz3kIQ47TScObEzz+Po3fqvBmicQnjNE+x+ExtZvztHq4Y6XiCKBxTrVsb7xK6NxUaGWeck3wanEscKLESALpeVJ2Su1Gn4+eRNK7nWI4kxLO15LoSpngTAWMQnh1UzxN4vBKHEM2qokH5Zoxit7pGq1ZTIOfdHxGhdhGTsnVNduYUSNGReRVlGS9KLbNRYFaDQOkmVsDaPbXxynOjm7nHrnHNJhpAQnMC92czGvPlBeXE7jIl545jHl2sl4KUYG14gSyDOjzD/YH7DfZx4VdGtp8p0bKD3ICmFCeVszJ9YgSNQ1puWaGDQ7DK+JbdFyyT4pI3+tMiifOBlCro9n3UPJvVXeOPNOGVHBgP0/HAd+zDfiaQMjeJYyk4uhS6b8zUbVNo3hkmjliK1aGNsvYIuKSHM9GjOd0RjKNdI6XHe6dUGAX1lS+Vpc1IyyH9JuSEI0TpR+D6mlR/ucan1YNv1Yr5ceCaju6HC/KeZPF5TLy4Rx5Ja1+tjoVzhdmguZBroqN0YieTI50aWkpbDYbOjo6xqzn35WVE6u3EFyfzfa5CMuQtjCjwQHVGSuUaDJrDtPjrXh7MWwLoDJ4hRjGyYiEOoxhx1gjNiGqxYhDWWQ1ouqQ5A+zHiaprPSC23WqbDvEKGW9Za4rD69Dr+sATvselhgpJ1mF0cVSlzOmD03Ij+5y7BFDNh1oNJZGV8vkzTxWDW3up1AZ3CKlhZgDXRXelEZsTEeL6wmZbBTFF0mEgDWs5ZxiCzFsa5HJYb/9KOxqi+Sn8ZwSUWxuz3Oh159GeMIQFbVVJZ4sp0Vw0sO2ZDvlx+ZOaxkqTmKLY8tkSQixcQLL8+YEgw4G1uPl5JgTCDoYMhnHvM7M5407u9Dj3IdBxxD8+hwpQcQJiIXJY9jeIkZ0KngfsI1Puu/D/PDNOT+ZU+y5FemxjOjpB50TNEjCSg+Czi5xAjLCKfoRWjHyUQXb8CIx1kZFHoPCvtFUpuqY79nv0glnLm7YdC88oiNhOg/HM2NyFaY8I/VAwqNpGKr5yr8T79nHp4LVJtivk6HU6t0ufb3QtWMlMjZRI4P3r/Sxar+MD9nqehAcqycLHg+j3X3KQf6qMMyYYlQbviYrB6mSY+SPKIbQ4tguo1++Xofa2FXi0BlUT4nxzDGZTobK6Ea57065HwTlPOlklpQsJShtTwM7T69FnjGWemthIuKxaM43C0XlcquOdJYir04n1q9fj4cffliUtxMODP79wQ9+MO13Nm3aJJ9/9KMfTa578MEHZf1Mwaw1pIvrC+C0ezIq+ena9Eyw4hn2n+l3oxnWZ1Io9JemF6KxO/PS7z8UT79+KH0nEg4Fs1ZjzVaN93x5AjmJr4huGF2hYsTwrIY7Xk2TWtYl1IfH10emYUiDkrRmDlaDxkmZYNGIS4DCXERZfDWgaDB0M2rb5zkkkwsa76St8YdijoBQBlkSZ3yUrlRfgbxoLX3qUvqKv9vkeFAM3fz43BGKm1liJKoE5Bg4mJKSfqbzL4+uR7P7MY7MEkmfFzPLUhGFWCQlsjjhccIvjgQuPH4eZ0JllQOyR2fEl7TvmBn9xajCqkmLHESr+ymhmotnXJtzXhTYbRrrEo9ShfMwT17dbn/a7fOK0xnHVbB5GqA4NAwYg+iJHUV7dIdMpIsdC1BsXwCPbWyeYzyqZ/Uch8NDWa2fiupxpgE1UwTY4XBlqbx65kGSYnLjQScLnRmcwDkdZt+UyYOerZp3prZwOLIbppL7Vwzompb8212Q4R4q82bVt8cy9LEuf/aGltOT/txc/vQq9qUL0wsLllakdxLlFaQ3dCKh9ONB05H0eWmBlvT3dceRnvT7j6TfPhqNZHWv2O3p7+lE90HV8071RTjgh8+oFKOCfbUDo842lxJGt7sJAZWiV6aKND+Xfo+OUvbjBg1lZ3rjjKtsuVHpYjxMVY24jF/tzmclXYjGMvs69u90AguLyPAIA4gOAhGMTFOJIdmHG75kecMxfXXKY07ZvJGg/gRM11iQOD+74hT2Ex2jREVkQ0YjOqP6tKpJpGzi9siqL9K0eFbnkOleUXWHGMWss039ErN2jo48vU6MYiqiq1IO0hRyq4lsRYtru/TJEsmHjbKdsn9D16Hpk6sjn+l4otGxjKNRhKZFtftMrKWMz3iGObq7IP32/rLpc+5bmDo+/vGP4+1vfzs2bNggtaNZ/oqq3O985zvl87e97W2oqamRclfERz7yEVx99dX41re+hVe+8pX49a9/jeeeew4//OEPZ8xlmLWGtIXZB8mZQtRU4FZiUlM18Z4eeE6MGGHFiHhJKvK1eviC1WIoG/aYmS+HODxGmQxa7fZnx0wKzHId7pEoRlBqv9II5noqfVOB16wcl6itaR5hodaQtpQTywTZjRSqigGpJTugNop3mtFWM/dUkZJV5bENI/s/M1iKqDqyBX32I+hxvCQDLAVfRI1b7Rc6Og1p7rsotkgi+G6lOGm0mzVBmYsWFS93n4P1glWhqHNbRiFIWWeUh0YUwd/JG2dI5yJI2/TZS2WZ474Cw1oXeiJHcTh4D+yKCxXOVShzLr7Yh5mzqNKvMCNaMAX2CJ9eJZN2B7wYVE5bkRALFw3svVwoEqcf79FCfaHkM/O+ZHSaBgcjfF57FBHFjor4ZXAbxWOMsGzLd+UaGGGnlgHHPo5jc8LXilPAVNKeeTAdyYPi7GVaUUjtkfHIrZegLLIGbjLQjPQOsZkEzisqYhswZGtGp2M0hSmRcjCafmCuJSQtS5gADjGsOQexMLuQq9TubHDbbbehq6sLn//850UwjGWs7rvvvqSg2KlTp8Y4YjZv3iy1oz/72c/iM5/5DBoaGkSxe6bUkCYsQ9rCjEG3Y5/Qo5mblVDjZgQ6kWM1pLag27kXha4iKJoPSpQRZ5ZbGkiKhFG4pMCoh9+oSe5XMwpRG/MiikGT+jdCLeaA7TIK4UaR5OOOFyI718gEjV5O/jJ6vyXSbYJGv1miSoGq2EYGWRUK8/sMm9Sf1nWKtkRELCeuRISC7Q6vF8MnbO/GgP2kKbCDUQXwVDVwLmXRdfBpVYiovaLYHbZ1SwSHRrgzmi/OhZmYc0yj2m8vRzQ+iPboHkSNITSGH0WxYz5sysygbJ4P0IFj3okT22BIaREHVaqHaVg1GRpE2OjNfYeKiEpZmC2gI3UY7Wiz7Uw69ohqbZPcqyft90k5Pb9eI30mHT8VWj2C8fQR/pkOOkxpVDEazbxaM3d25vTPpg5HAGG1ByG1W9KcEuUWGbEtiC+Q1B4h8Ct0lk+xVFwONgmvE/vP1D402/rSFiaPmTAS0MDMLWr31Iz6D37wgxmp3I899tiEdbfeeqssMxWWIW1hxqA0tkKMQqpVM585naCXUMHcQQxpvRi0dZmqq0Y+/LEaU5zL1oaTNtKyfTLZKtQXSETDZ1TAa5jiV+Mx3R7CkNKLqNKPDsfzyWgxDdpURWQxbnSXiI3Jd0bytqX0imLGkhPEPokuc52hm7l+iobS8GpxGiRApwAFYUK2LpmwsC342zSgSPUrj2yQ3DhGICnKJrl0jP5DkyhPv+O4HGNCUdVUGncI9ZyUSLdelnv5n2lGTqfqR6ljMcocS9ASeR6B+Gkxpi8lhJXeEceQDW3qLonaEXwW+tWxInwEI3t+vRohpUcmvvO1V5gq3jMhZ1TPwRm0hSmhWzmATuWFtM6RVttojVIyeqrjm5JRWXWGGSEhtUvYQezH6QwwXzXJjTUVsLXRz2Qd/6ZB2osh22nkaXXIZfC4Bx1NMqaRMSXUetaYZqRZMVMLeJ4cq2hQn3KP9EmKgZrwVTJ2cx8Uk6MBTgFKU4TTDpviSo5NCXaXg+yxs/i8OdaRdcZ9+vRKeA0Khlqlt2YT1ByK9FqYXbAMaQszBoyyhtRO+LXqjCInUg4p7oU/7oUnOjZaRiNABlzFjoB6EjHbMIbVdolA18S3SPRZaociMi5H2Kxvyb0naNvcpsd2cEQxOgxd0UWtm8Y56daZBmsO/C2OJ5PraLzS686ILydDg7ZT6LcfE+M1P1af3I7GLs+5MnxF2vwk7rvbsV8mICXhFWJEc7JBETEqrPKsPDrVyMslek3jKGBvRK/jgETrT3r/IvshLZxGN3PoaGwpuopO5wvmeSuGlNbivhgdoDGeEO3pduxFYaxB6qzmAq3QMBQYaYwon60M8z3b5H2xvgC9seMospt52JcCetQD6LabuYbjMag0yzUngyMVvMeH0SH3APP3mF86UzDDbCgLGcAodBimtsN40FnKe5PpBlQ9LtaXjqVvp09rnTISiTznK/Lb7dxn9ve6X5xdimGHXcrPkYlkT64zX23Jv9nvZirfmAtgu/W49ooRnQCPX9Ks1Dg0w2QYiIiZ7kVRfLGwo6IK8+0NMXJZ0SJRvYFVNajtwbEu4WQAS5ghiIgtgKDaISlKlaT0a9QyMVOnxh/TgHoS3fb9Ehkuja/AsNqBDudzwkqj45rtajq6FcCuyByiIJo+hctC7sLuyH3H72ygdl+KyN1e14KFFJBmTEVqqlPnx+dNehJDA5PG6ZC9BVE1MMLxMkQsiVFo5l712g6gXz0hKqeM1hIcmKkUTWEtGtJmeQoz17pMWysCL/22o6iIb0jW0SXttdnxhAz0VOGkMT56HBGccjwqEWCKnHHywMizqIwbnP54EDfCGLQ1S/SBqqosqRWy9UiJEclVFsp5BCc9D4kXn6q0Mp0zFAzb2uGP16A2uC05mQo4zHOqDG2EU8kb02Y0fAfsTcmSLwmQRjeerstIdofrOcnBY0kqf3yO7IttK8q3I3nrPa59CDiOoSJ0hUwEc3lSR9CA7owewL7h36BEXYIS2yLYldldE3nARnp/eizQXpWcHEppFvTLZJIOHN6fOcc4sDDrEUIvGm1/Tf5dqq+C3XAhhqCwJ+jEdKEAZdpK+FFz3imwzMWmuKNUNpA0GTPFRpIjWJJPz5P+k+MKQQdsi3v7iMr05Cal7G9prNGQnMngGMpyk33Og/DEyzHoNPsef6wWvnjNiBiaG3b1zOlCiZxop5YnYmmMOLNkY7r2TIha6VocfbYjEtnvsD+PoN2Jbidp4yZTSYGZFsY/2L/VxraKI53wjjib+V3TqTiiJ6LoiBkhESBt826XMl7TWb1ibNsZOOr6vbynM0HYYyzfBpf5arjkOUisy/XqCRYmHzU/k/jehYYqqX8WzobcnulOAzIp/GVSXg0F0quKGlp6blAmtV/VpmR1PGoG1W6bM/36/Mr0ghv+DAq0+YXp12dS2Ow+TaMzPXpPpf8s2DtazzkV2Sqnpx6TeLFxAN3Yj+rYZnhRNuGujcfHXjOqXQ/aO9GPFjGMOUhz4C2KLZVBkhHj1IHHY1RIZJi1lYv15TLAkybX7tkhKpn0micQUrpx0n4viqPLzIhBzC2eccKJQhRiCXrce9GnHB0zEaIwmstWIDlgPq0SpfGVYgzzWF16sVlXk7V7w9eaUXEljD7bUYkWE0KjZb63OiC0PqpocxA3jV4DBdGF8ChFSLBtOYEbcDaiLnotHPaJEcRhewfKY2vF854Aj6kQ88co1Jq/zSi+zazXbShS+oR52KkgDd2llcvxtfgeFWGUqsgWaHp0jEPhbMisBmrP6vlzupWzqiG74ERwqEvet+jPoDX+LJZV3QiXw48S39wz3tN6R/rf9frSsxHisUwq/ulV86eijl9Ymj41obBm9JhqjPegqe85dA0dw0B4NN+ZOGL/PeZWrcXcuUtQXb4Aef4Ss87uCJiDnw5OV3bDSH9vekXn4b70bT3Ulb6N7M70hr2S7HsNwBkEoub9P9g+Wgc3FT2N/WnX2zLsP9PYEezNbAxk6pdHj3Vy40QkQ/WFk13tWf1upvEpkzp376mxLIWpRjKcTu+klXvZDw5j9B6lVkWZulyEG0/pT8BrlKNcXyMVCc70zHA80TLY19koTLOPbvPsFGdjYbwheYzsben8pEBWu3OXMH9Gwf5yAJ3O51EZ25hcS6coNSuYz02Dk4a3xyiRPGe/VoNW19NSqpBGtVcvl/4/W02O6aqWkWk/4/tqOoU53va5DgtlOxUUAXVHimS8GmP0qZnvlXS5onkJZ0mGR23UkaKgSB8df31xlrmMo8u+HwO2E6xDgbiwzMzUlZgRhmOcE0aqcozLyW52PSZzAyLi6oVXX4gzIdM1S3fOvephdNlfHLOOx1akLzJLmElpyjAiGELAlr6UJuHXa5N5TaSneykwapSm1cGYaoWFTMhUOWIqY36mvqugJv3cNzqU3bFasDBdmPWGtIWZjUE0ow3PijHXYXsORXoD8vV5GaNjjByHXcdhD5eIoUsqeElslQxIpP2l83wXx5dMmDDQyC2JUDVQkWiwRy+RiRT/ZsmKLtceoZexbJUrOlpKifsvjC0UChonW4lJA41Jlupi9HbI3oxu536ZQOXF62T/nBwSrCHJSRMjGyzLVRG6fHTfhgPt7mfkvEpiK0RIZ8z5pLzttx2XzzPRcLn/VCPaRHpDqV89JjS54vhSFGmLJIevVX16zDY8ZrZR0GZO6MO2XjR6/yzvS8Nr4I0zX5tiaDHYp1B79Hwgog2h3LMEnaFD8jeN6ONdT8Fmc6KuaB3C8UH0D7RhQf41cNnSG8gzBcORHuxo+qm8Z2pDQ9nVWDR/ozhInn3pTmxY+hoUF9SiN9CM1o5jeGzHr2TbhrnrsW7lDSgqMBU3LVi4UP1+C3aIc7ESl4mDj6yIZEkrIw/Dkk97YSSEaDAzTYbjSEF81Hgyj4eUa6DPflRSdGgIU3mahjL7ehqRZFSdVh8d0ZewyeccP/K1ucJyonEWUBvRYX9OaNrMF6ZRagpEmmBZwvLomrTaIBcDwvaynxLNEjKTUsEIdGF0kQiGJa7ZRY1uGSRou1AZXy8LEVb60G3bL2NWq2s7FoZed+ZdJDVJTKQTPqNDpdu2V65vibZMVOJTPyOjgXMZpiGM7pcGvCJjYwJ1sevEsZKy0RhwbO+y75MSWKmie0ShMX8kJ9xAv+2YpG/x/KmBUaGZ534pItUpnKtQKCSbQ0XPc+lYchmWIZ2D0IwYesLHEIi2It9TgWL3XDhUN2zqpZeTk4daLMObZRwZ1jrRazsoucnF2mKpuUi6MenPjJDS88+ST/OjV0GN+TGk9cikhUreZ8L84KsnUKNIIcuLj+YoE4ltmHdVHdoqNZpTB78EGPEmdZylLcYLv3BiyIgGl4jSL/Tq055HhKZNOh8p6HLe8ToURZZIhILn1Ot6ST4vjWxEzD6ALucLiMWHURhfkJbWRUOak7ZW+9NJ8RURB1PsMqi6jSJEDJa0ipoq6PChWFuatn3y9XrkR+qTtF/mgS+K3Cr0yk77C1K31aa55FrweJnTRhq+tJlhR7f7RXjiFSOluOwyGWGUhQ6HTPnk5wplEorNoXgfovowHKpHnrmjnU/A7ciDx1mIg+0PJLd7rvtn2Fj2t7DP4OdvKGpG3gndiONw58NA5+jnzZ0vIaZF0DDnChRXXIUjJ3bJ+qMnn5fl7976bcxMzASt1umBpsdN/f0cUn2dKlgX2kx9iQkbqQOmTkMDXiNOxyJjkfQjJ20Pwm9UoURfDhcyGJjKOShK23qERRS0twu9tiq0CYo6cYf9jiNi0LA/phOVY1F+fC5qwldLxJyG1Sn3g2JYUuwvoVlRpC2W9CEypczfNBA1BsSwZqkjQzdFxmiwsmpDu2uXsJYuNhr9d4/5m5Fzjll9jsPmubNihD5qRF5sKOrEfoBjdMLxS/bUmRwGnc7dqIpegfr4taKvwnlIwHYcds2dNJYjSkBE7zi25ulz0GbfKeMdDWhNMesxk+1G9hudybxveQ9wO97niXE8lQGXCdSqyIvNMZlztufgNUpRpq9JRp11w4yuh/U+oaeTAUHHQZ96FB6jVM79bHTwhONgJqnAXwiGxvlX7c4dOrVF7Z4cLEP6IqM30oiIbtJ1NSOOqDaM3sgJFDhrUOisw7G+R2U7+lML3bUo85iUst4OG6LxEOw2J+ZXjlLGZhtEPGyEGkwPbU38SjFAKZrU4zgghhgnXcxn9sYqJf/Y5XYirlC9tVQWimoZFCLhBG0kj41efW7r0H0y0FD1mrCPCLxM5rgKYgsyfk7hrXbXswhqXfCQ1qaXSi5W6qDEnKyyWKFEl0O2Dhm08uLmBITHwIkxc5KH7S0oji5Hfmz+SHtUC0WOec6nXU0oi62R80zFnOg2NDsel5JgFKiZOBia6uCcHJKyXRJLb0QT40VVEuJr9KpTpC1BXWcUxWGQglmMSKxXxF/yo/PR4d4p1Pqy8BqJ4JP6Pqg2YdDeJKW1ONng+dBBQXGXacnFVQycTSej0DVHFsLuVzAQ7hCD2jA0hGMDCIRak9vu7PovbC7/+xkpvqFTzV1naoFfovCjUFCYV4ni/BrUlC/D0VM70NxxADduezveddvXJSp94tQebL38DZixmGXlr9p6DuPwqSfhdHjgdvhQnD8H3YEmNFRehWcO/w8isWGhk84pW4MCbwVqPYuQ5yudEdGYVLhRKEazGcEzqwR04gU0YztKsVzEDj0oRbVeiD7lOE7Y/oJ8ow6FyqIJzjl1irMc5vYGbZ3Ii89BRWjjGUtLFcTmC/32tPsRMSoTKTmMYPMrPKaqyBXocbxkpukqBkJKF047HhGBK5ZBJLh/6Uc1vzhhaYQ1uu+Rz2pD22Q8yAXUDl8Lh2LmK6eC0fhcNFjS+Za6bKaDvT58U8ayWhzr6EhhJQuy3ciMYGS3QJ8rBnWL/SkxnEnNZ052ubZGHM8EX5njT80UOn8SmiGiP6H2i6ZKt20fCvX5KNFWmCKeEmGOTtrBzFS3+drL034Ww/CIAryZ0uI2SmSuE1BPSP63xyiWdQmmmNDHEWGhTVNAldR3Uu+phg5nskIHz8eBPJRoS3NeByUV8Vj6tBgLFs4VM+cpmAUY1FoRCnYhqPUgGO+VV6LasxY2laUbHMhzVKDefwWcNp9MiLoih1Cbtw7FnrnoDp1AX7hJDA13xIPGjmfN/YY64XUVwWFzwxP2wKY6JCrBfarcr82OcNwvr8yFkd+S96bSp81mu2gGQswIikGXEHnap/9CJhMNeJ2UrUhFIh+NBmi1tpnWW9oc6fFRqNrw1ehy7pHJjdRjZo4vBoBkXjrFRFinMiqDWbIch+6HRyuTiVG2oGHL3yU9j1ENCofRsJRcMebDaSXJ8hq8nqSdjwePiXnQnIzxuFIncTTKq6KbMKy2osX1BNxaKariG5OUMTFyY1vR6nhKJmYsX2SDW5wQEYX5awoq4utlgOSAS9pkAgNqk7QxvdbjEVS60OHYJYYzJ4AFumncjweNe2lZXUdd8Ebzu7Z2MaJTERvJteZATqpjMuIf3nJBVVEPdTyEtsBL8p5XJN9dAY+jAKHYqB5A09AOzM3LHLnIRVDA7pmm3yEY7ZXIO5eYbkZHFs65HOVF89E70IKuvpOoLGlAa/ch3PHHL8vnXo8Z4Xty150ozC9HVbnpxLNw/tE31CL9f56nDA672Tc2duzCiY6dWNtwMzr7juNYyzNo6jBzKvsGWlFe0ICTnSaTwK66ZB+Nzz+LaCyE0qI6LF9wDYoLmT85M8BJuhOjBkU5VqMVz6AbL0nJp0Q/LwwXo1xK9pEFxBSU6YEiUdYzOUwToLO3PLpWKhywXy8KLUGX6wVhDlXGzPQcn14NX8Ts52mk6LYoYgjBfgYNiQ7ns+Jk57iROKZcAMefmV5OqExbjdLYyrSfdTp2j6HVE3T4JppfAhtJg7pRxsW62LVj8vU5jtBYHQ8py2WYc4BSrEhZb5bwmnKt7BF0Ky/JfCcBpg+Ua+vG5EjTYGc5w7DSI7/rVvJh1ylc5pZ72TT8HZIjzTmTSSFnOcyYmZ6mtuCU/WFUx7eMOWcL5wZqV2TSr7gYYLjFwtlhGdIXyFg8FXkKIb0XJe4FKHLOQ41nPeJGRCa1Ja4FacXGaNyuqXhj8u9y7yJZEmJji2quwiAN80gfhkeWcKAPmq5B1+MS0aR6pVD+VAqumO/lVd7Hku85GaGB7fcVobiwGm6lGAW+ChT4KuFyZJ/TyklgOuOcEb8hox2DRgsG9RaE0YdaZYtMhFjihB14FIM4hF+jBMtQhpViFIrQi+0ZmTaJET0Cs55k70i96LEiYglwfU3kSongMleN32FEg8rb5nDH2sj2kXIjdrO0CCnIZAmMyz/KdrLh0HwSWeDgGUdYcuZ6nGb5IZayYs3KVHCgGrK1jgjMuCQKPeBoTAqSjT+/qNTQdCBMVXPskfqpyfOGXwb3IbUVQbVdBkAayHl6vQygpxwPiYfZPP9EaRUHBtIImTByzOtA+nbCw00FaHrVSWMLqp1J4zkTWKZk7tDN6HHuFwVXTg4Zqaa6eMKINmHglOcB+LQamZxeCKyofgUWlG5Gz/Ap9Aab0Dt8Ck6bG25bIcKaKUbVEtwNv6MCpe4zC8zkEng9F5Vdgxdb/pA0oBM4dnongqEAigtqJFd6ONQHp8MrfcDQcB+CITOqdvO1H0Bl+aVVa/tCgn1yMN6D7tBxFLvr0Rc+hVOnTScp03mcdg/czjxoWhRXr3kXXE4/nt7/v8j3lmPTijejuWs/vPYSlOTVydIROIrj7U9LKkJcN6MwofCACHp1953CyZYXUFhQiaqyBuT5UvIwZ8C9XIut8j6up++XY/H0gnWMwHGckD5Z903KScdxgGNFNqAxT7EnMUQMBzxaacZzYfqQMxMdfQSV0Y3iuGTq0qD9NGCoIwKaqjhXSRU+X+kxsx0ck9PxVTodL4gRzdQj6pykOpnHk6VMg3ohCpE7Y0KXbY8EA+bEtmU0cnn/k1rORf5W0ouNmQw4U+E8teRonlYrqvmnHA+jKn45fCP7yRacd9LZO75aRtDoxqGuR8Uh6LYVwG3LT74iWGzOXROLFpN5pRYxUOCuhM9JkcyZ6eRRbKosuQJLDf4SN6R9pV64HB4Ee8dOHhNweLI79UwKsfEMitTeYjcMw0Bz7z4cbnkM9eVrsaDiDXC6nVkpxBoZlK2joZh0boXealnSKfSmIr8gvZfTl28OEjxWGtSBgS50djejt68VbV0vYk/jaaEFlpfVoaJ0jrzOv7IKRQXlE3I5Wk93oLn9IJqa96Kl8wiuWPM6FBdUYTgUQHffabR3HUdfoA2lJXNgxMII9/UJNb1TfQEelx9lRfOwvvjlcAybHWFT73M43v9nVOYvRig2ALtmIBjtg1bUhsFIJwbDnUJVpVo1afGkyHvUIpT7a2Bz58PhKhaHAI0EQtWWojH2CPKUGhSq9fAoxRLxSHS6aZWVHZmVKxkJ50DAnDcalIzgMn/YSFE35uek5glVe8Qo98fqRPmauaqM2CYUqUmrYn4d6da96gGJzFLhmxHxXtd+MWA5mNHAZ5S6UFuIXvshGey47ZDajCOu38GuezEncm2SdsVjGj/QeVEOu82HLuducSCwy+R+x4vGJO8TrUqi8zaXiqgxKKWRapQt4v1uV3cJhZbiaCyzNc+1Teo1y+8UTywnNceYJ4q0Hke+5HI9duI/x3yeoEWS+l3n3gSn4s+oep3Je+srcUOxaTA8Y3+/dpWZizgeoUFem3zUgDntV4ojaDDYg5b9HfJ5c/A5hLQ++NUK6JqetdJoZrX+zB5fT0H6UlzFNekn36svSx85q55bhHD4vejsbENnZzsikRAWLlyKJUvnJym/fP6PHj2Exx97BI891ouS0iJsvepluOrqa1FXZyqYH91ntsV47Hu+MSs170zq35nUuTO1Uaa+d7TPNKDyGRs2n99oBrXtbCcumfrqaCi9EUcM9479Dc2Iols7KMykPhxNrj89sAvFWIxKZQPajecw37gJ9pgHkVhAntnOPXRiDWO16x2w6U507Q3ChfmIRjW0gWrChSg21sNQfGjXd8uEmd8bCPTgoSf+W5gkpG0mMNd5Nfy2ypEaxDYoukPE6CZbtYJpEOmQbZ72RFaRiUwT4kzrHY6Jz0zI0YTT7p3w61UYkJJGg6MUap2GNVNSRl8T/aZdcaDffhxRW0C2lzzgcZoX44+JfTTHFLKPSAtnZQS2hZkOExcDOpucU05kK2KXC0WXjkuWPGp1Pzlhu7nBV0xwDmTqo863mnf226dfz/nIdCGuGYjFJu5vfBsxXWzA3oiy6FoUaPMmfZ+eb2RS1Z5g2Y+gSt8It1ow6ecm0/7PpMJdidXIM6rQ5HgEJcoSFKEBncZe9OKIBATEQS9pGXbYFSdUxUzRoE6LqNBDx4B2WgzpBXnbRPgzgeM9z6DIXYs5hRT9HBBmWCjWi/5oI043hmVfZF7KophsTsOm43T/bknLKvBWodBbI8vQ0BD8fv8lpJZh4UJj1hrS8XhYDOkLAU5CA5EWxLSQTJCYj6hGdfQMNkn5n40NtwtFL5fBCbXd7kBJcbUsTudoxzo0HEBn12l0dJ3C0RMvoL3zTxga6kNxUSXKS+egrLQWZSW1+OMD3xca4pql12PJgi3Y8cKdMrFxO30oKqjGqsXXoqy4XgzH7bvukPy+8uK5KC2shyulLEqi1EpD+VWYW3IZmnqfh191YH7xFhzseEDaucy3EPNLNsPrKMJghxkhpWEa1Huhq70Y0LrRHzuAsNEPl5IPr1oKr1KKWvtm9GnH0aHtEbEs5gNRaIvbMDpQhlUTKOXjwQFgGB0I2BmRbRWjlnRtiqBRfIsiZRQPo2HKHDdGvrWRHG2CBmlZZGz0lkZ0o+cvUiPbjOwaYpxTZCak9oghWxZfK2JkAfsxUzxE78XC6C0yaDG/qcl5v+zLrG1poNVJ0ZuARIKZ5zc+jzpfq0MsGhQRm4rwxmRt6IDzmJTaGra1icHLUl+s3y3HPi6CUo5Vwhpweh3CvNgf+jUOhv+A+a7rUGibm+FeU8WIlvdQsaj0WgRjvWgOvDBh25fiv8Yq+9vNOikXEDzGfF8Z+u2a6Bj0Ro/L+uf7fobLS/4WMw1utwd1dfNlScWRIzSeH8bjjz8Ml8uFq6++Fl/88r+hvn7iJHJGwshNalpb/DmEjD4xYFPRgFukzBNpsxXK6uT68ZElm+I8471bimUowdIUR4mOMPol97jDeBGGPYbO+H6cjD4Ot1Ik0U32a2RJ8e88tQp+WSrP+FsXEuxzu1WmXxiYo1+dMT+TfRgVvXlO+cZcuLQioctKRDvG79lkGxrUEaNf2DBk7cQcQ9JfJkChsLIoHdOsIaxhwHYKfY4jKIktl1zg8ZD2U0KSSzps65B++aT7vgmClKL8rS0Q1pHXOPu8QIx4vXw0uh01mVhkB0lpLdduhGxdaY/Jwsi1mYQVRdV1isZRjySdET2TcD4jiTR86bRhP+NTykXLoMl4BF3YjyIsxHzcJHMqkxLOJQaVAQmDNHFz4Xs+MeXOlXDnufBS3x/RPPy8pDaS9VXpXY7W0Is42PkA1la/XuZ7Z0MiOBbTwggE29AfbMHJrp246bprUF1dg5WrR/vTXIVF7Z6ZmLWG9OP7f4RCf6UIdpV458LvLD8vgis03g51P4jhaLdQSugZIx3PrXtQU7wCNcXLZyzNJAG/r0CW+XPNfJ5oNIZYLIqe3lZ09pxGV3czDh55FuHIkCx2uxM+b6EYzVduuC2tJ3rrZW9GLHx2j7PD5sHCsiuTkabllemFNQhGUvy2cthsRSh0NaAyrsgEkhPWkN4tdKGIQSPdgE1hLpAbuhETerkNpUK9PoVHUIB5pugHIpIbFFcpvsGFg4C53okCiWZQGExKl9hNQ4ugkRu3BZNRngJtvhjUdo3lW9SRCPBYkGrOSPSQrQVDttNC2aOAGqnP/D0KnXDiSGVQUgY5QHmMshHqlSkAMjf0crS4tksuHmnsXFcb2Sa0bgqf1YduGDP5ZKktGuqGoiOi9oozgPsqii5FyNEhlGuCQisJQzodxAA3omJEE+X25eiOH8Lp6NMo6Z2PcDyAuvzLRSxvwncVBbUFq3Gk65EJn+Up1XApBSMTXyN7A2oKRhSdYt39p9DUthfN7fsRiY1GSdnSDXnXm8rnWVI+zyc6e5qw/dnfYMHSf4XfPxqFaG1vQmF+CQyjEAMD/WhtPY22tubk6+nTx+FyucV4/sq//BvmzjWN7Fg898SCZrohzfvqVPwJ9GiHk+tWuv4GiJy/ITh1vBPnFcx8zUplHWxOYEhvR4Pr5XCoo07MeDyOoNGFIb0NXdp+nIw9Is+gX6mUxadUwq5kjlKRgfOS8kuZWZToLP9TIkwdOgImO7lnP0vGC/UcKI7kQhF6lYPS9xGkrbJPJBsmUTrI/G1dUkxiGIRHcqaDGDBOwWNoYnQyxzNPqYXXqJB+jnmqTi0/qbWROH46KikK1uZ6SrQn6HCkM9KpF6LV9SQial8Go1UR0cQm9wNSImtu+CbpX/vsh6UvTzg46aDkEbc7dqI8vlYYQ9mC/bjoWGiF6MTuc0pBuhRgnKW7ZrS/1/kSCmOLUMQa4bnRbUwJ9fHrRYhvusGUvOPGX0ZXpAzJ5ViDBcrLxzgsUucaDlrSGeCxu7C+9G3C+BqMdWAo1iGvnDOV+xsk6pwNqBVUmjdPFuJrd7wDx44exa5nmRqY21ByLEd6tii2n2/MWkN626oPSO3U1o7D4tWiGnaxpx7F3rko9tbDkyJici4IhNvQNXwU+a4K+BylKPLUIc9ZDl/JuQlG5DocDicqK+bKkkBnay8Gh3rg8eSjp68ZJ07vxtIFWyQafbHACaRXKYFXLUEJFo+hKQaNHpyMP2KWOTF6UY71CKNXxLc40WI5Fb6SiioqloqOPKNaDO8W25MiIjYenOQxqkFD2DQATQhFO1aTMYriNPxSh5mTLBrUBEXBgo62pAp4RA3Ivqk4zggFo95jfhse1ES2ijHNqEd19MqkIR9Uu0SIh8Ijcu5qh0Qx6oZvkglu6iSX7dHrOCh558WxpRJBPxucqg/rvO8eQwsN6wGEHe0odNXgUM99WFi0DaXe9PTjRWUvQ0PpNnSf6kKffgLN+tMYNFpliRpD8KNGKK8h9Ixcl8yT+XNB32AbHnn2xxk/L3KOLYmWC8jzFSMw2Il/+uI7sOWKG0Wlm46u53Y/Ls+p08nFhaqqWlRX16G6uhZLlqzEihWLUV0zc8SnZhpolAXRiUblfiCNnWMKCF6cIZjP6TLP69Ost5lGs0rthrXiiKQDcjDeim79EJqMJ8QoLrUtRYli9qfjJ161xlY0K9ulsgL1E9hvxRGU6grUwqjQ1ycnaInocQQB6e/CSr8YyS4Uwm0USm5zEN1SgVcm7grgQgFOqg/Ab9SmROrNDyu0dfCgZKR0VlzSToqMOSiMXjmpSSG3YV4sF36f/TGrPiTEm4piS6SsVabvlsfWocfYL8Z4frxe+nJqUlTE1yW3a1IekioO/Kzd/hwWRKvPecJKRpKFqWHQ1owu14vIj81DSWzZjG9GKnlPBzgP6DNOoN84iQE0jaxVsER5g8xjOA/isxkyulGg1Mtci/3FlOdp9hJZKjzmNXD5szOgM4FiuouXLEF/P0VWLViYfsxaQ5p5SaX59fDGy4GSrYjEh0REqDt4Ake7H5VasQvKtqDUf24iOkWeObiy7v0IRFrRFzqFIz0PS05HSaAei6q25jyle9rpsHnm+cZH8oofePKH2LrhdjidXjgdbinbQvp3Ii/4YoIUbtK7GWnkpKkDz4/k9ZgLQTqkpkaFbkmjulvZBx8qJAeJuUCMTjBaW6g1JBWzKYTDKHUCUgfUdho9voPwxOkplgIoIyW3DIkcmSUxzI6edSa5FMUWo085IrUmY+qwRL9Zy5ICHJlAY3pOZNsIuWuUNsrJX6/jJTGkea6cGFLIK51hz+/Vhq8RY5qRdpYLQxoF7wnfG5dbyRyt4jxT8ZxOpn3dfxLqaKVvWeb0AsWNMtsylKpLpd1Oao8iYDRhAKdFsTeBhXjVefG6Hz9tqh6nA4+ncWi75HPlAuLxGJ7d82c0tx2Ex52Htas3obp6Lhx203DeuvnlqKqqR+WcAng8Ex17xSUXJvXlUkUMQ6YRnYIlztdJmsnoNun1F3IFCfqm11aKCqxKGtYt+rPowzFU4YoJ9ZsLMU/6uUbb/ajWN0uZp6DSiYDSiD71CIr0RSLG1a8cQ4960Ky/TAVkYx7K9SKhhZpCUAaO2H4/hhrt06tQbCyR79NgTjf5T4B9W7W+CR4jjqEpZEjy+4wwcyFlm/3mmYS92D+Q5UPHAZlAdPaRnUQWUyqKtEVocT6R/LvT/jzK4+vOiY6bqFNsITuQ5dDpek7y38tiuU/9PZ/ox3H04bhUNKHgq2DksclDDeYoW+FQRgXHON/heitoOX1Q1BwTGzNy51hyGRffmrlAcNn9qMpfLgsnA4F4C/a1/AU1hSvgtudLzgYpIarmktJTTpsXLhuFqM7uKSb1RKLdHjNaxRzefjRi17HfYn7F5UL1hqLAafOgqKASXlchZjsqSuZh5eKXYd/hR/DIMz/LuF1D3SasWnSdiI5NV/5OJN6PqBaF3SiGQ8nMDOBnq+x/M0LZjiMWj6Tk9ZALZkhkRNWdyYgB83sGlWa0qE/J34w8k05YpC0eMwFjxDgVnABGIkNCoTahjOxTGRHmUUTFlTRIRmGonF0Qny+TSBrh/Jw078nUbRxf25NgfjT31eHchbDaD69WLgY6K1eak09jjPFtluSqQNDWhn7HMXgj2ZcAG3P+zlIsLbkJezrvFOXN0rNEdvncMVo33369RKRD8QEMohldMMtnHcOfzQ2HgXXe9yCod8OtFp6Rdno2RKJBnGh+Lu1nKwpeD5+9LClcd7ERjgzjoSd/ioK8Urxi2/vh8xZhzeXp88jSGdEWzh8iGMAATqFD2Z1cR22GcvtoqZuLhSGjTVgd3niROLooDpjNPZ3Mi1ReiR79EE7gPlRgtbBFUmEKa9kxpLQIe4f9GiPRHqNUjOAudS9C6Eaxvlj6uzJ9laxPhckCisn3io3FUzY0J5MfezaYtOzMYFoQS1XZDR9qIleJI7XNuUOYQYySpyJfr4MrWoB+2zEpnRSwNaJQWwSXcWYF7zP+vhWRntI9kKgWQYHOSx2d2CPMkNHSc/nwoRyVyvoJqtozEecjtXPW50jnSGpUrmPWGtJl9YVwu7yI16YfnNZVLUXtiRLcfd8PUJhfhsULN8jkNBrvRfdwAIGBHnjcPqxf+zKsWr4Zw4H0kYPONrM0Tmou3FCwF46BOuTlF6E70AQt1ofGtueT22xd9i4zj9qZlzQg84vSd1SLV6RXCa2oTW+MDwXSU7wGA+k91qqa/kGJRjMnFTFHOh1Sc6GpArl6yfWydLd3om+wFXabA3abGw67S9rppcaHcPTUDlmWz7sODbWbpbPL1JGoI2q50XhI1LtZ7isY6UXIHsBwpBfD4T75fr6jAIOhXkQiEczJX4+5hZvQHTwOj6MQ+a5KBFoGx0wMzTqeLujx8dI/JpjznTwvOFCMRTLgdGM/NCUsC1xxuEZohpmUbG0x+nDH0rGJ8argFMYpiZsOn9LoKhRjuRjgnMxxnZZBQfdMoJJ4SWQ14sow3DCFazRDQ8BxHH2uA2JH8+xLI6tkUtHnPCyRoqLIUni1KtGcJYaHx97vCWRa39elSjSHOdvDdpOm3t7chEgaZWBpI5uDVSplAi5mvUHyZi0KfbUoRC18WhlOxh4e853dwVEqdr1/M2p96zO2Q9uh7rTr2w/0iN4BI/pxjD4rZJQMhrqwP3Cn/H3Vinej0F8Fb3H6iXVhcfpSceHw2KjU2ZR1Ca9vrFOAzwzv7/nLC/DNf/sMtl59LV57y1uTEwSPL70zKhxK/7x2tKWWHBtFW1N6CtwDd5glmcaj83AK+8IwJKLBvNqCDBUEtAxq25mQTvmdmLOy4oztxmclEuuH22nmBvd2jz73qbDbbVmpDOcXpr/GPe0BhKPD+NOjvxizvrx4HhYVXZH2O/0tQ9kpgKe/jTIrm49Tu6c9EUATWiM7R1bQgeeFk6rVhl8mz/JKRWuDkWF1gqqvUNaVTvQpJ002jUEHplljNlEqyFTtdSDfqIMjfgM6bC+Y6v4jRjZRH7suWf5J+rVx0Xmhc9sBf6QOVLIYcx5ZUEgdTM3RlKyuMQ3TDvezYsgnnKgJo6swsljWU4iRfb9Eq5UYCqOL4YtXih4Fty2OLIdHK5fvM+s7FSrcKFVXoRSrUs536uwEpulElaGRa3bmyW8mNli2tNzpUv/OFmfqMzMdUyaZGk+sEnaHT0pMFkYWJVOGzvATWf3uVM4h/f61LNXrXVmpc/P4F+F1E9bLXMaYeG8qGZxvhdV5WfXhRFFderabPz874z0aiefk/Wph9mPWGtL3PvoDoVotmrcJS+aP1tZNRcP8tWiYvw5HT+zGutXXwevxI7/ANyoO03wEz73wMB594veYX7cal699Bfy+sQasRLeHutDV24iu3pPo7D0pBqOmaZhTvhI1pcukxE9Jfh2eO3yXfGf7gZ/IKyPgN677B8x2eFz5sozHphW3Ixwdwq6Dd4pRzeW1V30h7T6C0X7sa74H/UEaY2Pdyx5nPvyeMmxouBbBSD9O9j6RNC56Q01oG6LSK1BXcJkY0tOBKlyGQizAMfxJ/vbi3CK2ZwKjw4weTxac6CZqTqdOqmg8GyjBSf+fUyaZfqlNSpVuCu90u/ZJFKVIJoU155S7R1XcfuchhGw98MdrZGE9VJZwybRbTrKHlFa0K8/JpIYKwoxC62GSYEOivE6scL1ZvOZUCw1EmyfSy0mbF+r85MHv0phOBY1o1lGfX7lRnmHWVb8Q+Ouj35e852WLrsAV616FF/Y/gqef+yPy80qBO+O4/U3vw1Vbbzgvv33oyIv40c++Iu+3XfUazKtfivlzl5q03mg/vM4ieb66Bo/LBK9b64CqOMXJRKGqTn2fRC2NFg3DsS6sKH8NSr0Xpw41zbMLha6+k3jk2f9O/v2qq/8RXrfZ73Udy438PKalzMfL0RduRLP7MXlGimINYoCJSKIaFP0Es158UKLEInqIfKE109nWrx6VHobR5CKjAQNKk5Qw5ENNV6HfqJFnVzXMZ5EpGPXadZInTVuNzy33c/a+JfH5SHL0OFCI7LTHFCmcH3x1xoh1tiSSbudeqXM/HnQw+kb6ME0NIqYGJQXHrnvgjVcgpg6izXMcBbEGlIc3XLAarAWxhQg4juG05yH5uzyyXujoFkahZpjpSl57eD1avU+g33kUJdGLzxqxcH4Qj2XwQuZcRDp36NRWRPoSN6Ttdjtqq1bIZJTghI91CekJTPXKvfqmv8UTO+5kyA5Npw/i2PbnsWLpFeK1/cOfv4+rr3yteNyPndiLZYs3iyHNfe09+ASaW4+gue0Y3C6/lHGqqViKNUtfDq+7AIN9Aew5di/2Nz4kpUxIn6ssXsQEWOR5SrG49pqL2Dq5A7fTj62r344Xj/4FjW3PYSjUA8XwTKDhkBY/FKa4l4ESfz3yPRXoHjwptaRD0QFZXHYvltfdgNLicpxsfxE9Pax7qyDfVYX+8OlpM6IToAruSrxTxHFyRd3wuPePY/5m6ReW1HKTUmnQw2ugJLxKotBOrVCUx4u0ZdDUkKjcloXXSoRqOiaBnGQyUlIYW4zC+MKxbZRh94PKaXQqL8rvM9pTq12JYXSi2fa4fE5DrdK2TvIoD0XvEqGTBOb6r0SVZ+U5HTOFjEg5TQWN547+o4jFQyjyn58SM0PDvZJaQAfcwFCX1Fwnnt/7IPYfekrynkuKqnHTtnfjsq1LUFY6/Y4bKjZ/7nMfQG/fqIhec2sj2jtO4+6//hz56lyc6tkNp90Ln6t4hBViRqNLlEXJqMUy+20IGp1oHGEOnCmnf7YgMNCVNKJZNm1ezTp4XFMXtCTjZRjt4jwKoDFZAUDV7SImVKVcdk7VIJxGgZTp4zPPWsnMsS2IL0CZNponSmOZxi8jnZotJIYrxcHK9NVCZe5W94uhXWjMR6W+ASqcCKMHg0qLUJbdxij7Ruo2S0mcyTs2Rs1o0ymYAMsCtrl2jNn2hPduzA++5pz7YToTaEQXRZaIgvPZwHs+rg6LhgX7O0ahx9dzPt8oja2Qhder3fUMOl3PoxOjDDgRngxfecb87ksZLr0Qnng5BpwnxIGcLjXKgoULAYvaPTMxaw1pp8OLgrwyvHjgIRw9udMsE2RzSD7qFWteh7KqLcltr9pkqpf2Hn8eL+7bLksCDzzyK1y27jq87dYvwOUcoa3pupR+6h/oRDQWlIXD96rFN4qglvn7Hly2dCJVJhbKnbI5uYTKkkViSD+467vJdUW+OZhXejlK/PNgt7mwbdnfSz46jexTPS8g3LsXBZ5KLK27VtafaH8G97/wLSyZdwX6hlrhUP1Sckkz4vA4CqbdkE7gfClITwX1wZtE2TuiDiBoaxdl8S5bHy3EJJxaAapCV6KL9UftIZkEMhLFqApLxDDPb7Ig66Pd84xQORndJi2Uat+khXOxGR4pK8LaqgnF8DOBk29djcqkT2qyI4x8zMFq1ztxOv4UBrRTMplnGTMqrdf6NkgCXH3eZkwHFqmvQcA4hZPGg8l1nf2mUUsnz5K6bdPmNAmFhyS1oqP7JJ567nfwe4vEgaeqdly54Vb4/XkyOa6rXgKXazSH73wY0cTb3n7jhHVHj5k56SXFlWjp24eti96LcGxIanTWFK3AYLgbp04eQKVt7ZjvOZV5uLr2o+gKHsXBrntR4K7BwuKrRXtitoEpQf9715fl/bya9bhs+avPychlWapW7KSetRhldTDvORqhwgQw9qHReBD1eJmUW5wKaJRXxMwUiCG1RcQHfVr1mMCvWb3AAR/LRRmOJBGoVd2BsNKHam0TfMrYe5HRZ+ZBl+nn5tAiEsbzCc/dEz8z7JgT3iaRdPYRTd77MGhrmlQfcya0eUzti8kY0QTbx6YXijF2sSHR1ch6nPT+VWohs1LEgL1pJFr9MBYEb7nYh5izoAP5lP9+tHt2CpvAOSIcamH2YBqkEixYuLQM6S2X3QqfJx/V5UthU23JiU1PfwueePYO9A6exKrlW1FWUitRalK5GWleOG8lmluP42/f+WUUFpSZokeKgp5OU4SBsNsduHbrW+T9o9vvwr4jD2FwuCdtjhH3yckwf7+5cx/6A51yPLWlqyaIjrV2HpFJdGXpxaFBXkxUFjcIrZv5wieb9uJk9y70DZ+WJYF1c1+PioIGuVYnu55DTAtjKNKLPY33iINkOGxGx/qHWlGaNxdFxhLJi76UwAiRXXfDq1eY9TBH8hVDSh/6HUcRtnfBH68VNUbWrq4JXoMBxwl4o8sRsnWix7VX8v1IYeTi1PPPaDhSiMymu1ASW2nSQSUyE5cJbsjeKaWzKiMbkzTPs4Hibou1W8U50accxXHbn0WIyKG5UaI2oMZ+ObriB3AkerdMtOv96dM2zgUFSh2W4o04aPx2zPpoPIjBYBcKfNNjyL7w0n040vis3Ls3bH0PqivM65UpR/p8447/fRg/+vG/49TJRgwPD6K9c/TZu27b69G4u0+i0VzyPaaYXqG3ClFb+uNkv1nuW4QDXX9B5/AhYeYsKZ1orM9UsG//wS8/Nmbd3OrV52REE3QgsaxMHa4xVXFTQMNZwWqcMO5Fp7EHVcoGnCtI3eY0k9oMiUc9pPSgxUFlaVWo2IxcF+tL4TPK4TeqJf3ifDsQGRmsD98k6R6mNCMPjroJLigpIjjs884Ujc5GY0hTw+JQnKkI2E/Ia6LvZ6S6KLZIjOsW15Moi66SPtbCWPBeJpug1/USTvsegFMvQHF0qYyjucI2s5C+D35+//0YDvbDYfOgIK8cfYE2SRksL5knc/Kf/aQbAwMD2L/PLGGX63WkueQKUvtZC5egIc08ZSmnM05coaSwBjdv+zCOtzyN+x/9BQYHe1BduQCxWASnW4/INqtXXInioskNpssXboPXXYjdB+7Bnx/9JhwOimm5hc7osLnQO3AaMS0Cn7sYfk8xOvqOyff87tIxhnRTy15sf+5XWLJgyyVpSCdA1kBV4TJZkuJtkW68eOou7D55J25c+Y9ieFy15L3yeVyLijCMx1WA5u69KPbPgT/PC+h2DHXkdmmZqYKOGRqtEv3NMMgzamsoFApRkh2iKYCzQuplUmTMF6+SiArLbBFUBTfrVfcjaG9Hh3unbMscPNnHuN8i9Zp5Zaxn3e/gs2OqkPMfo9H8PS4sB8PSXlWRTRPUzNMhMUEvNBYiqHcI3dumudBqPItq+2WodmxApX0Nwsb5yzulmnGBMRcBjM2VfHzfj7C8/jqsLD63EljdvaNG6uL5GycY0RcLm664Bk7Vj9a2RsTiUQwM9mFOzQLpS4t8k685zQnMULQLrYN74VA9KPctwYLiq3Chcb4mwSebX8LjO36d/PvGa96NQte5RUMT8KkVSSp0Kli3tUvfhyC6UKlsENHD6QDVolker8X1BPx6LXx6pfSpfA6F3q0EZTumsPQpx0T7gJTmE/Z7kvso19ei1FiO6YYY92mQWubqbNc5Gw0tX6wGw44W0/k9Aw2oPuehZJ+fAFkNUkrRcTiZU072UH3k/Ggs5CImo9xeEFsAf6wWAecxBJzH0e42yy1SMK4suibjvWjh4iEej2LPgbHiowk0tewTZuraTbVwOp24+VWvwS9/MVYIMtfA/OjcypHOnWPJZcxaQ3rDlkXw+UwV5XS41mZ68hl5OXrsJfT1daPp9FwUFhZjUcMK1DeMFXca/3cCvZ1DuBxLcBtul7quoXAQodAwAv0BhMNBWYZDA6iqmIu62gbsePYBPLr9TsxdXoXlS8yJ0PMvPortD/4Kl62/Bm9/69gIR0FJ+s47nkH5NpMKdyY14fGqrgm0NHUhEzIpEHt97qzWO13pbz/PqvHbL8IWbEZ/Xy/cLt+E/OnEOS+CKbASjQ9BVRwYmpPekO7PoCbccXg0NzQVwd70Crp0vmSjyJlJMTOTWmoslj4NYNjWik7PaJkmb7wS+bH5cGvFEqVlZLnT/TxU0jFlSmjSJEsjq0VwbMh+GgHnUZSGV4+ZMNLY7XceQdDWidLYKimZxQkF1zEKxBzKvOjc5Paq4URF+HKZ1CauQaI2Nv95o6VSZito64KizUena7fslwY7UyXH52FT3EjVKEJEanhUJi5lMEvHRJx9GLa1ozW+C0ZUFZEjFT4UrEj/jPvLHJLhqY6oCCewZE36slt1H574fHd1X4lPfeadE9av27QaG9anr4XtGFGWH4++7uExf2//n1/geON+eW9zGKipn/j7cxvSOx1q69OrnObnpb+/mlvH/nYCTUcmKphXly9CxU0LxYG1/el78fCjf8CJkwcRDA1h/brNaGhYgYULlsLjGe1PymvyMTg4gP37X8TRIwdw+PABHD92GEVKKTZcvRk33vAFeL2j229/wDzv8Qh0pVew1rX0s+Cq2ol1hIm+HlOdm+dAIT1dN7/ffqA7K+Vsu3Pic8w66N2+3egJnEahvwbDwQCWz3sZfKhBKJC+PyAiQ+n7Il+Kmi2Pty9yEscCj6HMtQyFrgrR1ghpvWiJPI8hrR1VrrVocFw/oWSVw5P+2keG0vfV0ejY7cuM1cjTajGIFnTaX5RcYT7/fO4HbCdRFlknYoHJYxWieRTDzhZJ3aDYWF5w9NniWJgOZqm/ySOTwnQ2UX8jiyoHZZG1YkhTxblIS19OLlvGQab+PdN+prp9Qg29PDqxakFxbKks7JeHbS3CRhr/O5nGp0zrs1WYHl+d4mzIVkX8TGOvEdfEOUTNjrCtS141NfPzmgDHKo6npzwPyN/l2hp4jUqp9EFHU0I0LxbLbo6QPfSs2ihTW2c7B7Hb07NOSudOrD5CVK9MP2at35zZ6VdamX4+Zs8wlo7H9bc8KOmWp0+dRHlFNZwOJ6KxKD73+b9DR0cLrr3+Bixdthw7nxmrq2DBwnRh1hrSk4XPl4c1q6/I+uFNB1K+8/wFsnjdRULhJrq6W/Ho9j/gvof+V6jb7OwTE40nn/kzHt3+e2y7+tV4/S3vnoYzmr3wuDM7Ri4lOPVCoaEx2jvoaJLoMZcEWPe6MnQFXPrEwa7Rd3eSvtnt3ou8WJ8Y4jSWScsujDZI1LrDs1P2T2PZq1VIrvWgvQm+aE1STIeGMA1lwnaGriRfMyfYNOy7HfuSZWQYoWZ97QS6HC9KXncCbq0U+Vod/FqtUFx9RhWC6EBAaRJD+nyjrLQS//R/foB/+be/S6577aveixXLNp7Tfo8e35M0oon5c6c/kneuoDBje/sprFtzJfz+Avh9BQhGAnjwobvwwx9/A6UlFWhoWI5YLIrGk4fQ39+L8vIqbLhsE95429vR0LAEwcDsKTfSEzuKQLwZ3bHDwEgVreFQL7yuAiyZm4i0T+18o1oQnaGDaBveD7vqxqLC6+GJlSOk9YkBPai1osq5FvM920ZV6VMwrHXjpY7fY0XRa1HgnDxrIBU0BpjbTP2EkvgyMZLpUAupXaiOboErXjxuexK+3SiIzxVD2q2ld2rMNLA/TVYzmKG07kSfnOk6sz+9FECnwQmvWVWjxFOCHt9YRznvdTKkmH7EHHc6kuWet3WJ8nyptkLuc+4nrPSi1f4UOm0vpv+xcY8lx7qK6GXkApy387OQ0t6qitraUUYQjelvfO0neOHFZ/Dxj3wI//Pr382I5mJAIqfqSOu5cyy5jEvekD4fuP+h3+LBh38n9PCiojK0dZzCVZtfhU2X34Th4WGpT11RXoeHH/8tnn72L9i29Q14/S1/c16OZbaivbMRLqcXRYVTy2eLxcMiYDY+uj0eLIfUb5yEhrB4nxO5ewVIH9m8EGCkljQ0oiSyUnKcXVoxhu2tojxqTgzSD+B1wy+XyRSnwaRnsuxH0N6BgmiDRJwSUeK68HUymWZJF0anCuMNMtkw49tTA41mRzQPp9ymd3/I1ipRAlLDnUY+qqObxyjysoQLS/F0O/Yjz6iV87YpbqGiXijk5xfjvW//HH70c1NM6q4//wiBQA9e86rsn9dQeFjYKj+74+vJdX/3zq+irPT8KIGfC+gUfOPrRx0IhL/AjJ5SWby5uVGYPA6HA7e9+a2ora2fEA0KBtLXbZ4J0IwYjg7fD4fiRX/8pERgK5wrsdR7C4b8x8zyT/m1qKsYrQM8WcT1CFqCLyDPUYnuyGH0RU6h1L0QS4tfDr+jHKF4AMcHHsFAvBmVztWY57n6jKJiXrUYDtWL/X13odBZh0UFNwidPhtQNJDq3NQEJ+gsY4Sai7THSLRzPNgXUgOh3bVTKgaQQpxIFZlpICOmx7XPNLBojM4wViOrLRDMh64Kb4E3i5KJsxEc50qiK6EaNpSEy5A35J5A10/ts5gPzYXFB1IjsaaTqQQLYq+GoiqiD9Bso34AUKldJnXEo/qQvMaTdcWjaHM9LSKfnliFpAxQGZwifxYuHNauuQK60o9/+OiH8L6/+0DON33OUbv13DmWXIZlSE8zHnzk93hu9+PQDR033/QOiezMrVsCt9s7hhYdDg+LEX3Fhptw5RWvmu7DmPX47Z//DQvqV+OV171vSt/fceAOhKKDqCxqEKGz0oJ5YyiWA7EWNA4/IVGhdFiivAEq0lPWLyRIge51HZD3LGfF0lZ58bqM2zMnOvV9TfDqjDVdOZm26SVwYzTalGpI833Q1oFhewvsihtOPU8MYr4m8pypqEsqOhWBGcFyGn4sCL0WUSWAsNonUQBGUmisk0bnMoqEmhhSu9HrOCAGPCnoYVcX+pXjMuGvMi7HhcTCBSvxjS/9Fv/9i6/iyLEXJXeYxqTNNvlJUSQaxle++Z7k31dcdgM2X/4K+LwzL2LB866vXyhLgto9m9AefxFd8f2IwcwNTiDfXos8eyWWLV9zTvsPRE+jK3QIA9EWlHuXYGHBy2BXR0smNQ3uEAfeKv/tk1LlJuV3ScErsK/v9+iPnsKzXT+G114Cty1f6NkVjlVpI9kECdqdtt0I2MxoJrsHRtKyqUPs06owJ3StlF5iHi4XoiS4Br549YzJNbYZ5jWI2gJo9N+NqvDmSWk65Aro9PAFK3HK/RDa3Kb6+LzgKy/pck6FcdPhbNO1abkP6WimUzdfn4sB9aS0bZneMIHazXGK7KsB2ymEHB2yEO54KSqC58Zomik4cfo5EdAdGO7Cr/9qlqH9wHu+hHlzl077b3E8Ptl0DMeOHRQnb15eAUpLK4RVds3LrsUvf/5THDp4cNp/14KFKRnSLS0t+OQnP4l7770XwWAQCxcuxE9/+lNs2LAhaYR84QtfwI9+9CP09/djy5Yt+P73v4+GhlEq5o4dO/D+979fPv/c5z6Hd797lNLMCKHL5cLhw4dRXz8a9bvllltQWFiIn/3sZzl75R5+7A94Yc9T+MgHvop//up78bM7vpb8rKZqPl578/tQkF+BptOH8NROU6hlcYOZA2ohexxv2oP/+99/L+/n16/C5g2vQmlxjZkbeZYxc/Pyt+Klkw+hsf05nO7aKwOk31YJl5qP3ugJmcCON6LdKMRC5VWwKeaEK4bpyn/KHjRgKRjGSZ8vVg1/vO6MlL5MYGR6qmAknOI2jIpDNRBVBzCkNCOqmpFI1qiOqkMyme91HERJbDnytHqZ0LiMQri0QkCbl8zvE1EypQ9BtRMRtVcEy3oc+2WZq92I+cZiiZJPDrwHmCOLacPLr38zfF4/tj99jyw3v/ytuP5lZum8s8HldGPb1tdJigdx843vkL4uk96AhenBZBkUYT2AA9HfTFi/wvdGuFU6CpQJeclTxWCsA5XeVaj1rUtL46vxrcHBnnuzruXusRUipPXL+2C8B1FtGH1GE0odSzI+53wWk0b0CDqcu+AKF2ZVd5jb1oWvl/fDarsINfV4X0QPXkRetB7F4RW4aJik/cQ2mjf0anHqtXgfRZv7aVlfHtmQjMznOngOc8M3Sc3v0+5HJMruMtJrKlxKOEch/QkIKp1yzw8r7SJKOeH3YENZbA0Kg6NGY1P+XyRVajZANzREtCFE4oPyvtgzkaHX1LYP5cVz0dzxEgryi0UvaLqG48BAH44dPYhjxw7g6LEDOHXqOMrLq0W/Y968RRgaGkDjySPY9dx2/PbO/8Ktb3wTli5Lr2uSS8g51W6L2j0pZDWL7uvrE8N427ZtYkiXlZXh6NGjKCoajar867/+K/7v//2/+PnPf4558+aJoXzjjTfiwIEDcLvNCB4N5y9/+cuoqqrC2972Ntxwww2YM2fUA84J5uc//3nZx0zB49v/jOdfeALvf+8XJafwS5/5JZ585i842XQQre0n0dJ2At/90afGfGde/XIRIZsumPWtOzAw0IeDh1/A6pVXoKZ6NNI6m/Dhd38PgYFuHDi6Ay8dfhonmvaiuLASV15eM6LoeuZ8xWg8JArqpHeX5tdj/aLX4uiBPTIBLXTUoS/aiHLXMtR6N0AL5J5Hn0Z02N6N+qFXnJMxfC7Ii80Vg54q3xXaOhEQS4AKvzSizei0ExFlAF2O3eKhZ1TarZv5zwnwHDx6CTyMfo/sR+pFq33osx+R/RGJ/OyzwZQ8m94c3eqquXjljW/DC3uflL/vufd/YLfZse3q10zq+wkjWo7PYEm83BkwZysMI73w0XgMG2bEJBWVzlXQjIjJ2JjGazUYa0edf1SXYzzynJXw2IolH7vcObnJX0wnvTSEcvdSdIbNyItuxFBom4shrUNKxrmUfFQ51sGpjgq/0Vivim9Cm32HGAY0GkO2bvTZD6EidtmUzo+q3/UDrxQnxqDzJBza5A3y8wE1y+6RpfvmDt8s9exb3I+j0/UcOvEcSqMrkR/neJooxZW7IDNoQciqGz3Ve2A8WFM9qHYhrPagXzkmzplCfSEq9InCbumQGIvyopnZYrkIRtb7lUZEEEAcQXEysS30lhhcNr8467yO4qQhzTKwh05sx1CwF/2D7agqbYDPU4TPfuK/zvlYotEodux4BA88eJdocixcuAwNC5fi9a9/uxjPrJKTDms3mnPsJ594DLkOOlatHOmZh6y6l2984xti8DICnQCN5dTJ4be//W189rOfxWteY04uf/GLX6CiogJ//OMf8aY3vUnWMU943bp1KC8vFyN8cHBsLt0HP/hB/Pu//zv+8R//EStWTM2TTaVWLq2nzNrC41FRnb6WYnFe+ocxGkmfI+ZwmFEKGnXMt7nr7h+L5+3db/snXHsNBzJzMCPF+zd/+H9YtnQlNqzfKtSTMb9bnl7cxOtPb8Tl+ccaFDt37sAXPv8ZUc9NYONltViyuBqf+KcvYe/+g/jld7+A//rlH7H18tX4m1tfLtt0K+mVSdduytzhH9o7KgiViifu35d2fdOzrWnXaxmUxzOp9NrSCMGpmI/rVo/WUj2xrxWGPSjlr+oXjzpnnttzP57ZPVquhaivXYEt618n1yYYHoBvjoLTxw+hqrwBmxZ/EHk+U2Cn40j6e6jzcPr1odDoNTgXldN0CqScnDKCRMGuquCWMUZ0JsVS8zfSG5Vn+s7ZtjerutoBVYMRH7t/Ut7cWpH8LvMrmXtZGd8iedwhWwf67Ufk+8zl5sSVudE+fSwNlEaz5K1FK+DOUmiuqDwPuh6B0z72OausTU+l3rgqfTvY5068d2/a8GVcedvn5P0f7/kZdFsAH/nIP+BUUxOeeHQ3dj33OPYfeA6f+Pi3MLe+AdFoBP/05duT33/T6z+SbMeiksznZYyoTY/HiSPp1eWHAumVYzMJKGZS7K+qT99GSxvS593GM6Q45Oeld3rs25X+nNuPpT+vaAbF6x1/2neW/sOALS8IbXDojP0N14f0ic9ye3SvLIucr4ZfrUyub93XlZUyd+pvS1kwowtKfx6GlCC8KardqXArxQhrAxP6wlgo/TgUjzmg2SJJI5qYq92E0/oTGI71oDC2UPqM/bHfIj9ejxJjWdIpxWirU78eTc4H0ex+VIyDHqVFSmwlSnBlq6Dscpn3tx/FQhdPINN+3J701Smc48a5BAa70/ex8fhElhALCjDnP1sYhgvzYzeLQ6/Z8QS6nftkmQrcRjGKsBD5qKPLUPq5TH1yNDo2pSABjlPZwOnMLk8+HM6gXp+h7TIpOmdCturf6a7ldCPdNRBxsXiHOJRY4YKsr/EoC1PFvhZRhM64/0TbMY2J8CplUO22aRuPMyFbNe90avoRpR8d6nPSB/hQBT8q4IBX/i6trJSgw+6uO1DuWYrhSC9OD+7CYFcLViy+CksaTCccazrXVC5Ef2/6e4vIL/KcsapLINCHhx7+Mx559C9YuHApbr/t/WhYuHysc9PIrP5twUJOGdJ33323RJdvvfVWPP7446ipqcEHPvABvPe9Zk3fxsZGtLe347rrrkt+p6CgABs3bhQ6d8KQZrR56dKliMfjQvFeNo5ywaj3kSNH8KlPfQr33DPW+MlVvP6W92Dv/p346S//TRS5//Gzt8r60pJKfPJj35EyHm++9cMoKk1fhmqqOHH8GD73+U/jZKNJz9t29RY8+riZH/Xlr/8H7DYb4po5ifvs1/8LTc3teHLnHvQPDuE1N16FqL9UKPOzHetXXY95dSvR1nECLW3H0dPfKqUp7vjTl1CYXwGvJ188p9dteS8K8nJTpIVe7S7nHhngqkNXJsVlLhb67UdFLdypF0yq7qooxsYpulKKoLMNw2oHeu2HpE6toeiYF3rVmBzuXEVpUR6efMosPxYKhfDWt9yKmx+4AXPq6nDk8KHkdj/8ydfQsGA5li0dm76xclnmaKSFiwOdCkMj8KECHpSiGy+h1LYMPmX68mRZC5roNPaKUeXFRMowqZLd8UNY6Lph0sJoZGxU6hsxjDbElWEU6YvgRpHUh+ZzSqG+vNgcqQvPHOZG572oiK9Dnm46G23GqEHfoT6PMn21GHwWTIdefew6ST/psx1Fj91U3M+L1UMxOIXSpf+iEBX7aDP6yB5Rh67EEVMGRfW5Dc/KkoBTzUOxsQRFxqKcj3DnGoS6PlITm2UfvVolfFolHEZexraUVCHnPgw7Rp2jiqFCgR2qYTdLuqkTnZEUn6OAJ5XczSUvq3FKorr2o/J+JoiNsR16bYfRbzuGKlyGAoyWvEyARqyi2ITdcjzwGOyKC7X+Dbjx+rdgYKgHnd1N6OxpQmvHUWxa99oJDiHOkR0OJ4aGA2g6FRAW5eCgWTL28suuFlZnc/NJ3HvfnXh+99PYdMU2fP6z/4GKimqEQ9mVUZtJUHJMbEyxxMam35A+ceKE5Dt//OMfx2c+8xns2rULH/7wh6XY+dvf/nYxoglGoFPBvxOfJajdNKpJ1Uilhafia1/7GlatWoXt27dj69atmAlYtWIj/uMbv8Op08fwzW//H2zeeCPq5iySOqwdnc2oqZ6LotJzE6pJoKenGz/+0Q/w1NPb0dvTgze/5W14//s/hELXsDADHnviaRnKn9+9F7+447e4/9ffxpzqCtzz4FM4ePQk7nvkGdz/yDPoCQTxptvfihUrViEcDiEcDiMcCiMYDCESjWDZshVYunSFdJynTp2EJ0PkINdBQZ6SompZFs1Lb8gEh9NH9HIFFOCiSFdVaGwk+mKhIL5QJurtrmdFXZuUzsmAQmSF2kKE9V4pNcKYW5/94FknJ2H04yQeFKNhKW7LCREdj8eDX/36D7DbzbJ2d9/5GO74zffQH+hFf383dj3/uCwJvP/dX7mox2shPSqUNeg2TNE+TqxpRBO19k1Z1w0+E1woQI2yCVEModF4AFrocpS7x0VXyFSwzcOx8P3wqMWIGUHUODciz1aJIaMbEfQjbPSbr+iXiKlLLRA6L1MjghQ6Ul+SbWhYkJLc7tyF4tgSefaYiiEK+CnGM4UAF0VuzTrKOCMwTTYq+9wSbSn84To0+f8qlRLy4qOsJ4fDlTkyPEIsoPjiENrQh6OSX9uu7EI7dmGJdvuMMLIuNlhpgjWddcU0pmy6G2Fbryy9MJ/f4uhSFMZN5wQN7k7nbhR53Gj3jc5B7bpHnBx0jhhKVFS2E2JgFOt0aUXiqJ4OB0e//YQwsViTPdfBFKx2+7OwG27UR6+D1zm27F0qvPYirCm7DR3BA6LrMBTrwp8e+DacDg/KS+sxp2oJFs/fKIy7k6cOorZ6Ifa8tB07dt0LrycPoREGRFFxMfLzioSlybnrfV/9Pa656mY8+tjdeOUrb8W3vvlz+HznXo5uGuVSzhusHOmZiaxm46SjUFTsq1/9qvy9du1a7N+/Hz/4wQ/EkM4GPp9PlkxglJr504xKP/WUGWHNBr19bRgOutA/GBjTGZLCwomRoy84xkNGlW1uF4y6k5QcToxFuGqEBhnndjq3G0U0RE+0OuYp9XidWLf2CjS3HUJL+xEU5pcgz1+EXbvvR3Hpx5PGKCPyCQrOYMj8XZaT4TEmftftsSMWi5n0X0VBTPJEtuOZHU9g8+at+PKXv4Yv/vNn0XjiOH7ykx/iqitW4cc/+18cO96IJYsb0NHRiU/+w4cRjQPHT3Vg6eKFWDB/Ll5xPWufKmge8ODee+/B3j0vwOlySv09h9MJh90p6rzbn3hYoum8VseOHRF1xMs3bMOmjdeOtp8eh6FzSOpNRibNUlFsKQOO/BEDVWVe6GhD6XEdhqbAMMYNVopuCkWlwNBGPHUpmyqqKShlpFJXDRWwRQHdhnDUpGuSXIyR9kxcS3pTx8+wYgZpWsaY9cwhVNzBMcctx6YY8FSMUs/0uDJ6D4zQOMmWkjl4yld5GQ0KOKTsT1F5vmObQI9PpPYqLg0etR7+GI/dSNlObo3kMTIfjL+bcsrQYkZyu+T+7KTbGWO2Y0rpeFZYuv2Z26mgFmqB0wufpsCvGFn8ro6ovQ121RRHKmFUITyOHs7eaeR7qjOAHuxGdXwehtEB3WiHBxWAcyh5PVIRiZmRPS7JYzY0tHeOnRrx3mZ/cKJptCuMRuPQRp5zNWTSeJ12G2wUARn5mYD7pNRQTmyXgN/vw9++91Po7GzFgYO70dp2EtdcfTOeevpBKXvn9bnQG2iGTeXvKgjH7WP6IbM/MPc4HHbCxn5o3E3EcxpP3bPbHAiT9pva9npMnkvbSPpJ6vkSsZF0lcTzmziRuNqT0v+lXDdDga6NvVfZX8DmHrOdtIumIZxyPaVfs5n7C0ZMCrdh8HxTvugeMJ9f6Q9G16u+2ITrC3rKx9GeE/2BmkLtVly8Ecz2U5z6mH4osZXHiECP21Cvr8QQGK0KowhLUeveAEXlhH00AsL+yu7WENOH0RJ6AXO9W8CuhPtTPCn3mvRrKYcb06HY+buMeJtpM9VGLVq0Z2Gzh1HlSUlhUg0s8m+AYawTynlHbB8GtBcxaKhweHxi9HpgwG8rhEedL8a5otklctqnn5QJe5SaAkon4uiEU/Viafwq9DmOyTWcp62ESysFpB8aPWb2VzZHbMw9JOchzTZ6LeV82daplyOujH3OFfbXhllCKrUd4mn6AxvgdI9TPZbfVeDw6hOuL29Arz029vhG9sf7bny/6yrkOKOl7dfY1unPdzSvNXV/TFMJ206g1CiFL0LF8tEvO1xa2v7ebkuNoNmQZ6tFtVojqWd0CraqO9CtPYjq+JVS/cAe0yf0f8l0tZT+Ptku7J/TjB92m5bV+XLYTGyX6jtSVSPtuMDzPdP+Jvu7mbbTtNHf5dPa5ziEsK0HpbYiqXVOJtTo/tiP6ehzHkBE7UQAnTJ/YR9WaLhQ5p+DwqJF6FdOivgdSzmerf3MdjYmuR3Sbsfv+7EQNdoCczu/MaqRkWZ/0I0sxt/JbRdEl+iVMIXKYfjhtHknaj7oQNQIos++B7XaYviNarnvHc6xYpiJeY7db1La2evMLVyCzvAeDCpt2LLmlSgpqpExprunGS8cuFsYf4dOBmR8Ky+rxcbLrsFLh57BtqtehTk1i1FZUzTmmNev3YjHnvgLXv2aN2LlivXo6+/A4FCvjINGSpolaeoyHx85l1DMC/vI/Dl1h8FQBzRNR0dKMM+ChYtmSFMcbDwNmxTtO++8U95XVpoRqY6ODtk2Af69Zk32kdgvfvGLWLRokeRXZ4vioirxYsVD6fNYi4sy5EhnyFXOlCM92Jc+R+bW13wY4UgQft9oZ3/Pfb/Egw//Ge96+8cRCpmGfMKoVhwRobr4/WaeBzsdTnpTc6SZa/m3730Lli1fiX//j++hoqJSjHFOenfseEqWO3+fh8UNC/C+d70Fb3zdq5PftYXa0h5nhbIQ6zdMLMcQj492+Hv3voCdO5/GU09tl3UF+WXSvuzA2JFFIiE4nS5A68WTz/0SDocbV657c3JfsYHh85YjLW1XNjYP1tDDYki7M3hToxlqompKeiqjESZdbyJCHekpRqFQdpHtDOlSE4ylbkeXDIRGNL2XXGUyYMbfyP47ZwOjK63up8yoTLwCQ1n8rs2mwonlkqXJnO9++2Go8VPI19KL7w24T6BTaUaxsQhFuALH8bhEsPMHb4fHNVGV1u0oFrElh23s81xZnn7/8+vT52LaB9Ln6XX70u8nNGDSBkuKqrB08agQTW15+nrDHl9m8bT8wvT3o82uTkuOdCQDRa5qTnqW0JIsc6QHM+QMv+BKnwuNcPq21ofT70eM+rPlSGthaEHPGfubkFmZBh16C8Iwx4se9KDMPZEJFdL7oHri6IkcR3v4MIoKV8NnL5t0jrQcnxHHAE6jyTCpqaX5GxGLudPmQtvgQ7Gej6DeLfWsA1oX4ghJ5JnU7QDaEMURRIxBMcoYca7Vt8ILl7yPR6Li1uQo5YZ5D/Io9Qyl2zLlw2abI50pip9pP7onQynBWPrnI9idvq3j8YnXmKnF4e7so73jHbwsh9bo+ou8Z11gf6QGwymWbkIvZTyczvRtaubJOlCEl+GQ7VfohjnPYRnAvPhc0YegMGPyPDLc75ngzPDcZ0I4w7Blt6fvw+328xtBT1xLClyd8jwo70uiK5AXXyi1GybWO7DBg5W869Ht3APVcKA4tkyYBEaphkinAg/WyOifXbb51DE6virnNB6H1B6E1W5oSkyi52ShMCrPhe9ZGYOMNaYYMJpMZxoZJ6yhTUHQ/Ph8RFVW1AhIdY0EqiKb4NOrxIHRb2tFt70dXWhHYXwhyrW1wjZNB4/b7FMHom040vcg8p3VmF9wI2rKFsl6ps499vQfcMNV70ZZ8RwUlngkAl1YUCb3/bKGrfB5zbKJJcVjU+lKS6qxfNlG+PPT9wmZqN0VtenV6efUm+U7x2sx5SKsOtKXgCHN3GWWpUoFc5kTZaooPEZj+uGHH04azgMDA9i5c6fkQmcLCptReIw08gULzHqAMwWckPhThI5oGO8/sFNUtVtaTqKru128pZuvuA43XPda/OKOb0sHc9llW/DTn35XvvPb33KiNToIR8JhBAL9OHrkEO677694+9vfJZTS9esvw9atV+PGm16JtUsqsqpvezbQWF69ep0sb3nLO/DgA/fit7/5NZ58+j5cdeUrMH/eEnz5ax+UbR12N+bXrsfhk08hFo/AMRtpghcVCkJqF+JOc8bDwTIvVjcS/b+wMI3oJ4XazUF3qogoAXQ5X5T3zJeOKkNSu9Wjl5kGgNot9ThZFosowyqJvMWUITEIHn3p/+Ga5e+H1zX78/wtmBiO9iKuR0YMaTJgVOS5Ks5ZWXuOciWOGnenVVbn+05tHzrje+ExisQYLnEuQF+0KWlInwncvg/UsTAwaLQggEa5j2t9l6HAeebSSm61AN3xw5JrOU+5Hk7kTzhX6j0k8nNT0z5IhbUwPUgY0SyRNZ0gpXuZ9lah+3cpLyKgnkTEuSdZo7s0tlqo+Jcq+HwXRZegKL54UlRr3v/l0cmpac8E7YYex0sI2jqltrvd8MCmF4iTgP0HXzn+D9hPojK6UXK4NSUsS1yJyGt1pEGi0QkH1zH3XUmGT5trh+T5s1VpeLv1EmlvB/xn7c+aBneiM3gYCwu3ocQ9Kjo8HArgwSd+gis3vEGMaMLl8shCcN6bMKItTHSk5JRqt5Y7xzJrDOmPfexj2Lx5s1C73/jGN+LZZ5/FD3/4Q1kIDu4f/ehH8ZWvfEXqRifKX1VXV0sd6Kng05/+tNSkppDZbbfdNunvkRLt9jjgz0sfRQn0BrNSsi0o9mYVUSqrHttRdHS0ihH9ptvfics3bsGCBYvEyfCnP/4GX/7ah+B2e7Bq9QY8+dTDsv3Xv/7/4HI70d8zGvHWNBte/7q34U93/wq1cxair9+M4Lzv7/4xuU33cHqjanh4NJcrFbYRitx4NB6cWA6GaKjfgve9fYXkvOza/TDuuvvnmFu3VP6OxcMIhkyq7o4XfoN4PIrOvka8bMHH0+4rk6jCYFf6a5MJ7Qe6x56TNwYjpiI6aGQV8c6kiJtJWbegJv1go59OHzkIBsfWpc4WrMPc5noG/c4jkgc2bG8RGnxh3KzRnkkJlCC7YbJqnWdS90wgrrImpIZhW5sM7pzwpat7m0mFNBGZ4ncogMT9ebRS9DhfQj+OoFhbCp1TS5XiSeb9cHX9R5KRrhL9Q9h+6jvy/rGXvo8bV31ihAJtouNUH6DEoehjo5xtjemjoR7f5rTrl61kCsREFEXG1t5NYOsV6b3iDzycvl70YCCz6qs2Tgk9+dsZBAvH9znj1U8n7D9DhKu0PH1fZ2S4V8azrhPQU/l6KZi3KH0u/dBg+rY4tvN08j1p6Dubfo48V6XQhIe1LrmH1ha9BQ7V7OuXvmxe0viN6QE4baaTpawyvbNlMGDeX9FYGKfvfFhyXa/a+EaUFs6TMS0SDWHH7jsRCwXw2is+hmi/2Q7dgSbsOnwnTnfvxHXr/h5qS2bH4XBfF5qjJqOHAmbz1RvgVUtR4DejJePhGqdWXRKtx7GB45LHnafUIh9z0jxnE581jyf9PZFXll7htrAm/frh3lBWfbjDY5/UeSWQiS3Q09iffv8Z8pHTRbxtqpJxe19xZoMhOjT6zDLfnGHMRbZXI79ilG2XikwT4P6unklWa1BRhnUoMVZLmaXASG4t+1iH7kNd/Nq0AnCZKhpEo6Gs+vZM+8l2jMhUhSITMu0/AY4vxfElKfuf3rKG6Y9penQRMiuVn93BRd0ROpkppDYn/LK0uiiJ8bA0PpIaQoV6uGDoeRmfj/rQTVJWkowVM3LtSpufTydcXtlEocWhWCf29v8VBb5KvGzJ38Jp94xJU3tw+0+wZsXL0LBgbXJ9cWlmRe1oOP2862R7+uoIdQ2ladfnZahwY8FCThnSl112Ge666y4xbr/0pS+JocxyV295y1uS23ziE5+Q8lbve9/70N/fjyuvvBL33XdfsoZ0tiguLsYnP/lJiUrPZFBt8Ne/egT+gtF2KCoqxjve+X7c+sa/QaCvHxWV1di9eyfuuef3WLrMpOH19nbj8cfvw8FDe3H8+CEsWLAEX/vqf6F+fnrD+EKAk8t59ctkGRjsxe49j6GyvA7RYYcMrnm+Uridfuw+ZHrwHz/xXWyd936okpdsYcrtzpqvkU3iZebkwq/VosX9BPLi9ZOurzxdcOvFqAtfL7SxgL0RPY4DqAtfm9aYPhPoKS+LrZb3NMxpSJfGV6HXdhD5ej3mxW5CHBH4akdze9PhdM8LqCtZO63CUBZyC11DR9EfbpX6peuqb8WhtscQN0JYnP+KpBE9Jud6RCl+snA63Hjr6z6PIyeew47n/yQpK2TWcJ8L567H1svfJLnt0f4hhCKD8LoLMadsBY61PoNgpB8KSz1lgE8tQ5G6AF61DBX29DT/8YjrUQzHu+CxFaLAUYu5/s1oDxzCgNGMfOXi9f9nQ1QLIR7V4XGmdypdaGTw52SFuBFGvlILnzp9Cu6ZwHuWVF1PtBR6NCbRRvaLx513S1SyUrs8J8QmZxKm4x64UCBVu8e5X5wpjKzzXphO0NC2T1IYlBiOd6Mv2oiwNoiIPoCQ1o81C1+OquJR50YCz7xwDwYGe6SU2vGTL2Be3aqzOkouFM6VsXTh6kjnzhwml6LjuYyse+Obb75ZljPdrDSyuUwF4ydCBA13LrMVzOV2u7wYHh7C0SMH0dHeKgrad/3hDvz1r3fhyiuvwyte/gYsXrwi51Sz8/OKcc2Vr5P3h15sGvPZgjmX4XcP/jM0I4pDXQ9hWfmNF+koZw84yaIRnTBCffFq9DuOoTi2VOjOzH9ieQ6ncf5rKtJoZiSaS4truwz8pGRPfX82NETfIN7xYp2qq+YA7IQDpd7qMdvSoNky5/1w5TvwyEv/FwdaHoSuxzGvfGK+v4XZgcFoF7qGj2J+8RYc6X4UbaE9cKp+HAj8SfLhWQaqyDkXy/CB5HdGJcUmByosr1iyFcsXX4nOrja4nV7RfGAkp6evBafbDuLkqZcQGG5DQ81mLKnbhhNtuzAY7Eb+GQxpIl+txYDePKnjaBx8Eh2hl+Czl0g96YaCG1DqbkBXoBEeJX0O+8UAGQIJZgjhthcgHA+gPG8RVte+BrmA6fCtsY64X70JFxok2ZJxxAoJAedxKb01aDuNhujrcqJqwUzBTPGvkn3Q5dgLv1aD2vC2i+4wiWiDODhwD8pdS5HvqIZLXQyfvRRVxekN8Q2rbkBNZQO2P/M7xPUYSotrRVMnF3AhmAyzTrU7h44ll2G5NXMAx44ewl/+cpcoca9ddzlWrlyLD7z/zViz5jJ8/Wv/heJxYgwzBfREVpUtQlvXEfgcVGakwuL5H9Go7jpeCHy2YsDRaL7aG6EaTjj1fClvQ8ERf2yOGNoXIlrt1SokOn0uhjSRoJhNJu/bYXPDZXdhTf0t6AgcxvHOZ6AZcSys2GJK51L93cKsQEwLIaoNIxwfQJGnDkWeWpSoi6EqDtgUh/Qt+wN3osozVtSSLIepgA7hPN+oYfzEs79GX6ANddXLsaTuKrxw9G7Mr9ooaunXr/8Qdhy4A/lKD+p8V6SNfNBB3KMfRZE6/6y/3RdpQm/kBDaUvhN21YlAtAVHAg/AoboRRQjlI6JhuQCyjBqKX4bhWI/krfeFTsOmuDC/dBNyBap9BoUjz+BALdWXoyA6Fyec9+CE4y9YGJtautylCFEEz2FQKLDbuQ8RNYDK6GXC+LrYoN7CkcH7UeNZiyqPyRo7GzzuPMybsxI7d9+DzatvyRkjmojH0qdXWbBwrsjx7mX2giViHn3kftz717uECn/TTa/Bmvd/HL/77S+Qn1+Iz37uXzF/fgNCwzP74d+69i04tPcFnOp/Dq2D+zGnYD2q8pbBplre9OlAaXSVRKCp9Kro9mQULmzrxpD9NPpcB+GJlyFfpwpsedbU62wM6Q7XcyiJpZTxuUB4selPyZozFQWmaqiF2YXmwItoHdgn719o/R2uqHsHdLsTEW0Ahwfuw3C8U4zofEf6/NVzRVfvKbz86r+Dz1uIgy89L3mgB5oexoq518PjysemZW/GQ89/Dw7Vi2rvxElnj3ZYyq+V2pae8XfoEDg28AgWFdwgRjRR4KzB6uLbENb6ofQX5BRFkcdSkz96vkd6HkYg3IZnGn+O1bW3oDzP1G+IaxF0D53AQE8bSvLqUV6wAHbbhU1HmQ1IMCyq4ldc7EOxME3Xc8jWLIJieVodysNrL4p4aDowZYv9WaV7VdZ9wtaNr8fjz/wW8+tWnSFP3EJ6anfu9O+5dCy5DMuQvoBob2/BwPFuFBQUYv++F/GHO+/Ae9/3EdTVz8NPfvw9+fwd7/wANmzYnFOTpXMBI9ClvvmycIL1fMuvcKT7YdQXXo6FZVvRG2xCSYZSQhbOjoL4aIRLH6l7Kjl2WpkseiSGYXsb+hxH0KnullJVHLBdRsG0TgYG7adEtORi4IaV/4AH9v2bvH/y8H9jy6J3obSATgMLswXzijfJsuPUTxCM9Yruwnz/NTg6+EByG6fqG1M3fLpAozkcHhThLhq6/Nvp8CISYw1zc5vugSb5/TL3qCPn+MBj6I+ekvztULwfi5yvnkS/rkAzIvA7KsasZe1XLkMjwnu5ioXFVyMaD2N3+/9iT3P6spVNnc8n38+v2Iilc669gEc4s8H0HUYrfcbkc1wt5B44Zg7bWtDrOCzjZlXkCriM3Ko8EbS1Y647PcMmE3r72/HYjl9LjnRgoBvNbUdQX7v8vB7nbELOlb/KoWPJZcxaQ7qnYwghL2vOpY/oen2urJRyO1tHa++lonZeegpOX/fwmNyMRx//M37/hx9P2O4//+PrUq5q3Yob8Mptt6L3lA0PnHoBZ0Om88qkOp5JubesMn2+3ZE9pzL+dlFF+vxbX0F6hfRIpalQueuFh+R1buV69A6cxJE2A6eHdmFr9YfHbJ9fmV6VOBPGK76qbhVG3IaexkBWirKZ1Lwz1eE1MmzvyqDkHo1Oj6GZqRZr+qpnLrjQgBJtMaLaEAZsJ9Fuf0Zo4AX6PBRgnoiPTPlYYKDLtkfKU1VHt0yg7mesG5shX8nry8uqZnDHYbPu7xrXu3Ay9qhQeZ868hO4T7mxMu9WaINj70kjw37+p92sUzoe225LX0Zl08vSl+Or1I+nXX/jy9L3E6cDNciEJ+49mHZ9flH658yX78rqvs7Ld2a1vaKlr/PsHkh/nIWF6duutztdxXGgr3NwAh16ONSH/Gqz3NOJ1mcRipkqznm+EtTNXQzvoEvusXBsCJ2Bo7A7DBQWmfRurh+OBOEfUSOOZOgzM6p595tGa3+gC3l5xSgtLcQjT/4aLV0ncPWm21FVPnoP+MvXY1/jfchvUKCqcQQGOxEcasP1V78H0VgIwc4Y/O6Ss6phB2N9kusdQjcKnGN1AaaCoprCrPrA8RUQEnBmUNtO/zzZcMO6jyEaD+JE+06JQHNhqk8iwsEI9YFTj+BEx05Zrlz4PngcBZOupMCJejpkEjYqrks/zvmK0z9LZ1IMD3Snr76Qqa9zuc5cSmg8otH0zhIqjxeiXpbU9OhMfWkm9exMatuZ0q7i8ch5zTllaVCi27kXg86TKA9dDp9WmbX695nqoJM8nQ2m69z0cVUjxIC2t6LfdURSrkoiK6VahWwLPaO6fOb9a9NSx3389jolPtV+lBbOFT2S8YhnUNk/feI0ouEYLl/8JjgcHjhjbqmUUVKe2XF/5Q2L064fHkzfX2diaYYjZ77GMz/Bw0KuYtYa0rmC080n8NVvfCRZUmHhPJMms3zJ5ViyeAM6u5pRXlqLQK9ZG3g2Y8Oi18HtzIPL4cVje34sRjTBvEe3fbrrClrxyPFwwo9SbQVKtOUIKV0IqI3oUfdTvkxyk0kpI/VbXlUFhdoi+PWJVFmhjiu9GFZbMaS2yoSgOrLloorfqIod853Xy/v94Tuk0vXhyJ8wEB4QOm25bZXkfLmRG0rCFjIjGgti77EHMTjcje5+U8CwKK9alLLLixaib7AZG5a8DsODLG3lgW7oqClegTklq/HkoZ+grXMLqsrnZa3anQn9A13weQvEsG9pP4YrL7sNRQVVExS/lzdcgz0HzQg5Df+Na94gBj+hDox1xKbWqDb/1tETOoEDPWalAwp2FbjO3ZC+mHDavVhSuy3tZ3abC6vmvRzL66/H3sZ7M07wpwOGbo0FuY4hewvCth44tYLzIrCVC6rdFBLrcx6ScbIkugJurXRa+qfzgZDaA5delNaIPhNsqlPKUPo8uSOImEBqecxchUXtnpmwDOnzjIQRfcN1r8fSJWtR6K8b80DX1ZpUwABmvyFd4BulK0aiQ2PKK0ynIW3oak4MnFMBjVRGVc+nWicHb69RDq9WLm5altvgb5qLLq99yjExlv0YazB02fZhwNZolt/Sq1EZv1woafxerqDczpIbGnr1l+Tvbu2gLIQbhVhofyUcSuZIlIWLB0Zv//T41+X9wtqN0PQYKgoXoqK4AfsbH4LL4ZF69Y/u/iHyvZXoH2qG11WE0vx5cDl8WDHnJtz3yM9w8/XvQ2lxlThYzhXB0ACaW4/g/sd+jlgsgtOtB1GYXwFN16QvT0RBG+o3Ym7NGhHcGQ8aigOhTvQOn0Lv0Cn0Dp9Gvrsc9f4tYlS/2Pmb5LYl7vlS4utSACfqaxe8CqFA+qjndOA8sP0tTCPiSgi9zv0oD1+GDs8zcGnTb4QZ6YkNFwxS2tG1T2jcbq1YotJ23SuVNyb3fY6wUan9fCHgMDyIZ5FGQkZQ98AJdA4eFcdmLsLuyP1cbUVVoeQQnZrHY+HssAzp84zvf+fPY/7ubE1PN77UcM3q9+LeXd+S973hRhS56qVMVqIe7KWKiNKPJscDmB99FRw4/6XOGIlWMbHNh4zWZM51KhIDf7G2BHn6aC3bXPJblNtXQLHFUWivwUHcjxhG0yzC6BfHgSPNOVu4eLjz7u+jvbVVKIYUIsz3l2Flw/UiSEUaYWv3IcRiIZAIffWa9yDfV45YUMOTB38iMZ1TXbsxr+JyVBQ2oLDagbvv/z583nxs2fgKzKk6NwXcpQ2X41jjizhw5Bm87dbP4cHHf43dL90vtEqX04sFdevQ0XMSA4NdYlTXVi7HykUvk0lIU/MedPScQGf3SamrXOyrQ23xaqyc80p0DhzDgda/SImZBNaW34Y8l5X/auHSgKQGuXajILYQMXUITq0oWblhNoEsr5rgNRh0NAnrixUuVEeTROHLw+vR5zws79mZUTi0TFs9poRlk+NBRNUAGiKvP2+CoalwGHnQlRgi8SG47Jmdeic7d+F09x5E4sMozZuHmvJlqChaeN6Pz4KFXIJlSFu4KHA5fVhb+ia80P1r2BQnnmr7nqxfV/YWuDGzKY1TQUjpRov9KSlbRXTb9qFKu3g1kTMZxoX6fLhi+eiw7x5jSOcawkYfmmIPjjGi6+xXoTO+Dwfjv0OBUo9itQGFqiV0lwsoKCjB3peewuZVb8Ki+i0oKahNqjozYrvr4O+xacWbUVY4L0mJ1hQDVyx6Cx7a+23Jx01g9fKrcbL5AE407cUzL/wFc6qmpiTfeOoltHWcQCweRSRq5jL/4ndfxpb1b8CNV70HO3bfhe7e08jPK8XCuevhdZVK/unBE0/i3ie+C4fdheLCGiyo24AlpTfCaR/rvKktXokiLERMC0sdbJf9/Nd+t2AhV0CHZrd7D3QlLkZkVB1EWXgdZiuYAlUYM1XsaUgHHMfkfZvnaYlUV4Y2SR8xpLbgtONRFGjzUKwtFcPZY5QgigCiysAFESUzBUvL0R8+jQp/5koDLb37sbDqSlQWLpZ+2ZVBS8HCJNs9x1S7rTrSk4NlSFu4aPA7y7Gq5A043H9/ct3urv/F9aX/eMldlR7bATiNfBTqC6BoihiqUW0ATkx37vjkkak7d/9/9s4Czo3r2v8/zWjEsNIy85qZ2XGYOW2TNmmTlJu+cvsKr/Da9/r6z3vlpm3aJm1KaZjBsRPHccyMa3uZWdKKpZn5f+7Vknbv2Ct7Qbueb6KPtVej0eCde+4553fkVDpbHdb0xs2aJwPE6DoYehQ6nY6+CoXL4OTKBowvt1iLiOyHnStAk7gLYdmLDH7iS3apDBKOhLB735vgOC0a20+gJHcJBG1sQolAzh1V/7cXDpxHj68dZxv2IBSJTZRUte3EjNyNA9/Jyy5HQ3MlrXM82uumraMBr21+Am5PF2xWBxqazsBmTUVFyWK0ttfi9uv/Dbv2v4LqhkOYUboSa5beMUIAknik58+4AhVFK3G2bi9mFK+CIBjQU88Wq+yvh06SDlTGh6ma5jOdCXLd6DAcgCmaCZEPwa9tpR5bnWS7JK6B9NBiBPgORLheWKJ5A/tNjG2jnAGr6EUPfwZuvpYatf2RYOSZO1Hq3iYpHT0MQzos+iEFfVQwkPSbeq1pSlSZmQrbyHFErDJ5tjOZtiWZmbaGdEqqCWazGVkF7E6ntrKd2e5xs/NC0hRUB9Oy2GEvehM7H6PySAOz3euJV2/tp+r9RmZ7ajF7e1Ky2YZNl4LqeO2BFmb7uXLWOs6yVUvFMDs3Jr2MnfM0ZxMp3VSCFWKsxMKhE1tx9NS7yJ6vpUqe2ZnF0OsHvTgpTsuoFMz9QRcVs6k708Vcvvl4R0L7HA5EElI3VkJJUZYYCZnyYlTzr1BBsFx5NUQ5iE7+OHLEVSOW12rZeVLnUvxUmuVUUuN191jgQhU4LRcXYh4IxFITzGIOejUNcIgxxU1DnzLyiG3S6RL63ezZaQmpDAMjz3GF70rYuVwIei1Ef/zvzDTeQP/tDlch7PPCZEyhBrfSzGtXOzsVY+/2Wmb7mstjHofhmHTs7bdZlRM4K+ayIzOIEBwLXqHdkcK+LlKD+9jrd8cEvoYjHX2X2R7t89YOR1C43tde+asRbXMW/xNf/uIXUd96BI7UFKyYvWbgs163H7o9BqTmWWDQm1DfdAJb3v0t/Wxhyc0ozV4Jo842UKqjuaEL2Y5FWL/EiYOnn8FvHv8KDcPOTi/HykV3jBDQObTvAPaceApWcwbtO1bNuZsa6EU5i5Fiz0S6swBzyi4Hz2tx9fpP0f6GVTVhaGUEnT4Fi+fFxO8Is1ayIx86Fa4vT/tgJMVQcuZlMNtLZ7KvlWiUfX0d31nDbFdSyS5ewVaXV+qTq480M9sbD7Gfu+FAYhohSv2No2CkIcab/bCmsJ+Xw1XTR3MslPpZJSVxJYwKKvt6UZfQ9ih7sNipQUp1fZXUwpUg4qmJQjJ9Xdoz6NadhFYywis0wSimwhFaAT3sin3bUM6l5q2kts1riZaBZtzUuROFRJ6RUpTDaecOwi0MVn7QSEZw4JDhXQGX7gz8mi7oQqnnVSlXUorXGwyjrvbCowR1wTfjri9SNWFXw+OwWdOh0xpgsaYgPT8L1r5qG0qG17Hd1VCirSlWeWM4sxcWMtuP7GOvy2Bk3zef/NrVk3quVaY/09aQVpk6kAFq/0AkEOzFX578b/r3pz/24zhDerTQDpNLsino80AKm9ilEirwQcrfWOQ8dHEnEZJck1Jf0okZkBDBWbyIHKyCnZRcGYJFzEancAyOKLt0xWSSZZ6NSDgADaf84Dzji0VBnPG9jhW6z0zg1qkMp6amCg8+cPfA36fO7MU1l99L35MJtfbOWCm+SDREDWmT0Q6HPROe3m6kmLOZZaUIzpR8rFn8QfCynU5WvbnjNwNe4n7IOveefBbpjhK0dFVClkRai9ppy4Mjyzqij1KZepyrH1CZOPxcO1oM79P3nCzAHi2lxuRECGiNMjBl0kmNzIVHWwNZIyE1NB89QiWEPm+1TrLCJzRN2LboEOv/AhH3QGk6Laenfel1Gx5SLLGVrEQj7LJZyQSZnLqQCarxIpm2JZlRRwcqSUNZ8RK0dzWgtaMat9/4WTgdgyrf0x0SvpUjr0IzduI09zQVJ0kVZ6GTP4bc6NpJ2B4O6ZgPC3LQgHfRiwZqUBOCmh50CEdglNje46nAbOttONH7HGy8ch1nlYnhuef+NfD+/nu+Tw3kHXteQl3DSRpubbemobx4MYx6M06d3Y13dz+FjNR8LC66i3qiSXhhY9cR+p6od/dDolx0ghG8bMKRyjdh1FtRmh9f2/rY6a3wBbuxOONG5KXPhcOaS3ObVVRULo4g14MQ10Mnh8l7KqZFxCBDS2ERc5O29NNkEtH4qBFNMIuZcAmnEeJ7IGrCEEQrwvpBYcKJwGHMR0+gHkZhHnzhLhxrfRk5trlTzoieKqjlr6YmqiGtkjRkpBZgRulyakg/89KvcfftX0Fx4RxcasZ0lrwUjdy76OCPAJpYzWaDfHHKwxeKEWkow03UM92DM4jyEbTrYiHBBaHLMRUIiN3wRFsQkfz0FRB7EJBIOJkMj9iIiETCSkdXhkRl7LnhhlvwysvP0/d/+tt3UVw4F3k5ZVi59Drk5ZQj5Bfj+oh5M9ejofkUthz+JfSCBaFILKR2Zt6mOEOaUNWwBwf7QtLnVmyCVhsL/4tGw/jXa98bWK7LU48ZBevV06uiMka06fYgyg2GzguSBdZoIaxinnqMhymXe7UN6DQcijsuTYZ3YRaz6aS6R3cWKaFZELkQRE2IipNNlCHd5a8FpxFwtusdlKVuQJZVWXxMReVSRDWkVZIGd28nrdPaz9+feXjg/S3XfTLmqb75E5juxjQRHMmRVqNbrkSX9jj1AE+WIU0gNa1JqLcbNYhofcgKLUeXEKvRnOx0hc+gzv8eHLoS6DRmCJwZXrEVes6GqBjLy+THoNawyoVTUTELb7y5A0/++S2kOrJHhJOFMJi76XRkY07FGjS2VFIPdCAc036YU3AVnNZ89Hib4Oe0EKUoJClC60gTwTESrt3acRae3na4PK3wh3ppiS1S87QoYzHK81erp3C6ojo+J4XC4NXUSCQeaV7WgahtTBbJqDMlIUoF14jQGoGTtUgNz4NeSkGA74SXb0BqZB5drt64GY7QbFjDhXDrz8AZnDthhvTJ9jfhDXVgUc6dMOvYaTRTgamQ7KeGdk9N1BGkStJw5OQ7OH76vYG/jQYLAn0CLs+/+jv6b2NzNf7t0z8+vzpjEj44E4EIfAmw0Jlnm8QW3ZhI0jCHvgKhmDiSJTQxXgUiLOPxt4GPxCe59YcF9oZdca0D34tG4JUa0Bg4hZnWm2HiYxMRh9x/RbZ+IexCPk70PouZlhupsaUyuWi1WqSnnj/Mvqb+CLbt+heWLbwWpnARdp36K61hWt9xCI1dR+mkiKDXUUExjtciLS0VKxfcgYzUErx34G+0HNX8mVfBYnaC6wtPPJewosrUR5an+MNgCjNUcXoykZMsTd7Ht6LduIe+t0YK4QzNoRPW/ZOILdqdyAmt6aupLUHTdw3bQ6VosmyDVVM8IceVlOSblXEN0swl0HJTu7RVf3+vojLWTNsRJFF/JC9OYSry+EG26m5EQaF59kJ2zdx8PVv9tDefLcLk7WWrhPZ2sRUzM2awPZHrrpvPbDea2Z3dOy/Hhw2dD71FefbYYGeHFaXkWhNSt+7piM/3mVN0FTo6m9HeHVNlzHRWIMWSiYb24+jxNEOSomhsqsL3f/hpzC+6Hk5rzJhLK4xXZI1KfmocedrZ4hJKCs28jt3Rphazxb6UaiZ6O9jn0tPKVsx0N7HVXp1yCcxIhcmQMqpzc64ajkqq19EwWwFV6Tdy7OkJnWOtjq3yYnKyj0VhRdbAe1EU8fJbv0ePq43mug6FeDoIkRBbyVZvEGC1OnDT0odozXKCz+/C0e0aLN9wBf71+n/Qtm7jEZTOuxXOVPZMu9HMvta7O9kq+Du2sBVFZy1mG4lGg7IKTlE5+95PtbJHhbqaZ9kr0rL7LqlPQGZEe/oSdnv+dcx2b4StDmwRFO6DRvZ9OUuhjzUYY9firl3v4LU//wGCoMOuAy/QCbPCgnJ8+Qu/GxiAknxpvze2fuJtdnvaYbOkYfferfCHerB48Qrk5pTGrd/vYytGhxjK3ASdggK7yaxcwooX+ISqQSipYStdd23NbOXbsML9oXRf5i5MTJdCr6CUWzCbvR5JZF+79fvZIkqO3JSEnkHZM0fqNkQkFwKdzMVhy0rcGOlUqlohss+/VuHcK8ErnBsllPpeMci+rqPRUEJVJUKhxJYfK+GisRQ6kti3gaKIoKxgeSvlBhNRxNHug49rRbshZkQ7QrMGaksPXb+sidKJdPI3UTrnOT1stphifwTz4LPWowAb4Pezr8XUfGdC44BzjemyMFKjxZnGHuuZrWxx2EiWwgk4h5q20lh2xtyCUSuPD0UrTF5ExGhRy19NTaatIa0y9SAD4w1L7kUoFEQ44sfOo09Sz9LGxR+FP+jB23v/GMsnCnbi/VN/xozcDSjPmXghrolC0BCvNNtIme4QI/q1rX+ig7V77/wOwgoGf1s924DQWzUkqBC8Jnb8vP4enDy7HenOIuqZ7Kep/RSEU6/DarEjO7Mc6Y58WvdXVatMPhYuXIGf/M8fYLXaYbFYEfLHD8COHd+HR37/X8jLKUF+fhnyc0sRDHmw9Z2XkZWZj7vv+CqyMyc/ukNFReXShIxfWg276Pt831W0DBZ7OYkKfhIkTZR6q/tJxSycxrMIgMwOTRE5cpVRe82TaeyhevFHh2pIqyQVxHDS60z0tWnZx7H3+HN4+b3/g9mYQvMcLYY06LVmpNmKaD5kVFTDMs9HSPSi1V0DPW+GQWuDQbBB4IyxEPgko9fbjSMn38Ph49uod3FG2VL8+akfIBIJQ68zUs90WfEiKjg1Wty97Xhp60/p+6vXfg5aXofl827D2fo96OipQ23TQfrZ0cp36L+rFt+KWWWDdYxVkgODwYiCAlJ7PkYIQUSjEXR2tSEzIxcV5fNgMlmwYP4q6uU4fnIfOF7Gvfd8CUUFFehsZ3tzVVRUVMYbEWF06GKRgVn+NecwomP/9acvkRxpkl/uRTNasAdh+CAhjGq8gWKwo4RUVFQmDtWQVklaiMGzct5d6HTVobLuPXjkDlqaxuVroga3QbDi7SOP4Pb8r0MnKIdVXqpEpTA84WYc736R/p1hrkAw6qEvk+DEwpw7kAyQMLrW7rOoadqHlrdPD7QX5s2Cw56BRXM3ArKAUDiAQMCDN7Y9RtXdR3POG1qOY8f+f1HBqbzsWUixZg1MIMwt3wR/wI1g2Iu83BKcqtqFXQefQ3X9IaTYMpGdUTau+61yYbS1NeNPf/o5fD4fGptqIAh6zJuzFKmpGbBYbKiqPoH77/0aDe32eNqRYh9MF1C5BEnCCUOVSwNiEJP62e36fZA0sbTBtPA8GCVl0a5u7QkYpcEUKuKR5iGgE8epN9qOEvjRhlpsRoDrOue6VAZJRsfBcNTQ7qmJakirJH3nl+4oQqo9D+/uewJtrrPUKCK1X0keNBEa6uiqR25WxRTTZxw/iCe3PXAKtZ73YdTGcgznZd2EdHPZwOdHW1+g5SyImrXA6WHRxfKvJoNtBx5DOBpAINRLBeY2rLoD5cWLqIF07NT7OHl6D3Q6M/VIn609SMP9A4HeURjSMqobDiIqxnJdl827Ke5hGo4EwPMCnPZY/vLx0+9ScbO2zhrs2Pc07rjuG+O63yoXRn19NQ4f2Uvf/+YXz8XSAN54iuY7XnHZzchIGwzfluRLuy9QoR2eehgucSZaZ4rUgyaK3KQGdD/O8GxYowXQwgAJ7LzgXr4BXr4JeaGNA20kRYmEegfQhQJcRsO8rcjDTNyFkMTW3FEZfS528tWRTqLQbgU9IZV4VENaZUrAcVrkpS2g/y4quQW+UDe2H/8j/ay9q2aYIS0NiFFdanjCLahyv0snG+ak3gSLkD5CZIQYkzMzrsaZzq1o7N0PT6gFi7M+NGB0TySBkAddngb6vixvJa6+8gPUYO7nre1/HfEAvPeO78NidpxnzTIiYghNbadoWoBOZ8SO/U/CbsmCzZqBzp561DTup0Z0buYsuL0tNAS8H4+3E+7eDmRDne1PNpYuXYMZM+bC7XLhz0/8HBkZOcjNKcDMGQtgtzvh6x1M95AURIBULh1kEH2F5BcaUhk/NOOcStyu3w+fMFIwzxYpgiM6A1qZLcI1lCDXg07hCHJD62kJzKEeaWJEG+CMy5UWYEYEbEFElZFEI+qxUhkfpq0h7e7yIxLgEI2yZ6FmzGMrxNZVxWr6DSe7gK2uKnNsxWVzNGYcjFbZtQvs/L0KJbXwUvYA35bCXv8b/2SrkYcVVMojgWjCqqJdNUNLEZ2f5mMdzPaUHLYipEWbj27PG+hu64Q/0jXQbtCzFW593ezZ2sajbIVY4o1kYXYaE5qtG64i3k+oT014OPZc9vaHvJFR/y7Jg651vQNXqAGlKRuQZiyDJEfQFjiJQKQHG5bdPuI7RfgoMnOdeO2tx5CWz2H2jNkDnxkMbMXMrvZY+avh+H3sXHVXS7wyez9Gmx7Hz7yLgydeo39fv/HzcNizYTDGi6t98VOP0H+bWk7jxdd/D7PZjvSMDGi1sYExVzTyWIhiBDIfpF7sW679FFyeDuTnzkAoFEBE6kFzSx0WFi9At6cG3e4m+iKsXHY5du3dQt8TZej0XAElM9lhwZ2t7P3SatmzyRazggp615NQQu5g1+rWFLDzw6U0tpK/zLF/mwuzFV8lA1txuaOXrewaDLLPfUuAPZnl9bDVhGfOHqm4TDAyurQn/vJ71J7YhbqGZtQ3tOB01fvYvv1pPPmn/0W3FFPzJxMwtTVBlJTGIg5CIfa57Ghl9+HVJ9vY+9XQmZCC9blUbnmF66Wxht03KlFYyt63lsbBfnIogSGTDUORh6lqk/B4n78bgjWE9s5GtHfUo76pEpFICF976FF4enzs7a9kb7/YJxpI0k6GltMpWp4/EC1DxCSJ/oXAGxAIh6Gj2g5WOonaj7PAxlx//cGRz2+t1YuuU+xr0aTQt59L4VipioPJmZWQqrbS88DTyj6mfo8vIYVpJUVqJZSef/197Xh5BJXElZQUss+lxZSo15FEJCVyTMmzZThhjRcB7eAkLCE7uBomKWNge4Z7oA2G+Gd+BD508PuRK62FRcgcIfhUmDcP3a4mmEp7UZy7aOCzwrLMhCoOKFWNiUbZ5z49iz1hnZ3HVgV3pLFV8D09gXOGMyfynfbWnoTGJsBiTBVopSGF4zFZ26NyCRvSKtMPEtKbZZmNPU2PYWXeg8ixzqchyZe6MFRPuBanPW9QURKCLIuo7N6M7mANUvR58IRb8dKWn9JQ6SVzb6DlT3wBF3wBN0LHXKiuOwqtVofZM1ZOzPZ6m/D20RfR6+tCedFyLJ9/y3nzlwryZqKidDGqao+ivrESJUVzmcuRuuOvvPV7pKam4/INd6K8dHDQQcgrHDTWTp7aD7enGznZRXjgvq/hP3/8Gdqen1cKg96I2TPZZaBUJh+9Xo/ZM0rpq98A+/i//Qeee2ULNlx732RvXtLR3lmPMzUHcPjEVjhTsrFuwUdHlJQTpShEWUJD6zF0uRrg8rbB420fSI0gFBfORTQaxqyK5Recc0jO1ZYTP8PsnKuR71xA/27tqaRpOx3uKvC8Dk5LHkQpQlM4QqKPCi8ty78bWp49mXMuesMd6BDbYeGy0CYehoMrg51jT1CPJWS/unvrcabpfbS7q2ib01qAVGshHOYc8KKZ6nwEIx40u46iKHU5dNrJr7msMnpIGHabPpZmYo7mwB4tgUFKHRAKGw0SImjgtyFVmg0LspmfB4IeOtG8+/DTtCSow56jnqZpCJlUSirV7iTalmRGNaRVphR2Qy4aPPtxsuN1LMq+c7I3Jykwa9Mx234zrJY0VLu2o91/Gk5jEUpT1lOvjj/SjaxZqWjrqsbuw8/BZLDBRMKdBQOCQS8dGB858S595edUICUlA+mpOXCkZMDpIA/tDOqhVVLZbu2oQW4G27AdSoe7BjtPxkpPEVX2u677jxGDeSXIoP3qTR/B5nf+jhOVu5CRngeLOd4zRDzPL21+BMGQD67eFixbfDmMeuUQ8M9+8vtxf//X9/9MhaoqTx/Gpo03TwlxEpUY5Fx97d8ewAMPfQd/e+YtfO3r30FJKdEEuDRTPIYa0E+/8jD0ehMy04poW7erBZt3/wYzCtfSGvXZaRXo9XfijZ2/pJ/npM9AbsYslOQvhd2SgX0nXkRd82GUlyzErdd/RtFTOFrIuSpIXYITzW8g1zEPTT1H0NBzEEUZS1CeswYm/eB9HXSHaLWG7dW/RUQKJmRIByIuNPUeASyd8Ms6NEbfp+2pmIHxJhINYd+ZZ9DhjtWVJ953km5EDGvyYpHvnDqes6nGeHXlJjEDRf7r4kKxE4HkPjdxO2GS0+GUK8CyvyPwo7vzLCqKVtG/39jxa3zwuh9d7KZfclzaTwKV8UQ1pFWmFGExFt5m1p0rd/XSMoB0nJm+BE6LGc4rR3xOFLqJCjV5kZBMolJNBsNV9fthNMZ7QFYuuwFuTye83k4cP1WNblcbXK4OpKXm4M6bPz9i3SSPeMuOJ+j7Tas+irysWSO8Mi3dp+igkkBm6jct/AyyC2Pht4kgilGk2NOwdfu/cLxyF/WKOWzZ1Jj3eLvg6e2C2xMLKTUYDHh35/O488Yvj3r9pJb0wvmr6Etl6lFRWoR3Xnoct973NQQCftqmmcAZ9WDIj9r6E+j19mDZopH34UTT0HSGGtGERXMux+J5V6Kp9Qxa2qrhdftQ13oY3e5GXLXys3hz16/pcoU5C7ByXryav9UU62vdnq6LNqIJETFISxjmOxZSY7qjtxprZt0Ls4EdLtreexo2QxaMAjtlZjikz6nqeRfecAe84XbMSl2FFD4b7mg9ZmvvhFZjGHcjevvxxxCO+GHSOzCv8Bqk2wfLtvV7/909nQhE3BB4I+xGVVl+PFGI1L5oSFmqC4VEkDVy74EDj0xJOfqJ1JMuzl2MxbNvgFFvg9fffcG/eSkzFWoiq6rdUxPVkFaZUoRFPwrtK1DsWH2OpbiEQqsuFWoaDqKqfh/SnYUwGmy4fNX9ONv4PswmG/yBXmqoVtcexpoVt8BqsdD8rlNn9mFWxTLs3v86nvjXj3Hdxk/GCX3lZc/A/Xf9GE++/D/YuvNxxd/WaY3YMO9BGPWjGwwTWtpqoBP0VHL15OmdOH5qJ7y+WB5UdmYRVfMuL1mC3MwyFOXPwe6Drw5894arHkR21qB6s8qlAc/z0ApauD2x60QpkmIsiYoRvPb2o+jqaURB3gw0tlShpGgeGpvPYM6MlWOWY5oob73zFP33yvX3obw4NlDPzSqHxZSCvz33n/TvktxlsBidWFB+DQ6feZ16nkkeaGPbCWQ4i+lnbd3VeOjBn8JkYud5J0ply9uISCE4zfkQOAMKU5eMMKLrOw6h3X0WiHJo7T1J23zhbph1bGN7KB3+M3AHm5FvXww9b4XTlIJOhCHAhDrxXeTyK2DQjL4fShRSmlHLCZB4AUWZS0YY0f1pSma9k75Uxh8pmnw1pUk4t162I0taSo1lJUj+tEGfRnPYZ5Wy9TFUzo9WSH7BQTW0e2qiGtIqUwoSppxqjOVFqoyeju467Dz0LFYuvA0l+YvQ2HoSr26LhXJ+5v7/pWWnunta8fKbj6K0qBZWCwnVlvHcK4/g7feexqc/9t/QavV4/s1f4M7rvkpDRfvR6Qy4/epv0JBqj7eDql/vPBjzQBOuWPg5GkJ6PshAIRINQ9DqqFfpqRd+Sr07NmsqsjOLqQHfb0i3tNXSfw06Ey2J1dHVCIPehLzsCly2+oPIyMpgCsOoTH88bjdKSiauBjhRyG/vqsNn7v8JTEYr3tr2Tzzx5H9Rsaem5rO47sqPYSIhnvHnXvo9jAYzli+8bsCI7sdsTsHKeXehse04jegggksleUvR09uM+tYj1IgmtHfXwC20Ye3ie8bMiO7xNaLbV4815feDZ4jgkTJ4XZ46nGzcivlF1yHsCyPVXITeUDst0zca6ly7UebcAIexoK/FT8/RTO2tqBO3oTL6HOZpP0zLJ44HxEhePuMubD/2GEx6tiiayqVLVBNEM/8uLHIu0qX555z0J6HfXk0zXL16vLP3caxe+AFFcVUVFZXJYdoa0mm5NljMVuj07F0UFdS8l65nG2mOFPZDXAJ7RllSmGnWG+PVHfu59kPLme0rV7Lr+3IhdnhPi5cdtmaws7ffqNB+LkjeWiIqp0oq37OvHjlTT0jNYnsLXN1eHN7mQdGcUjhssbJOhFnzY7l//fgDbiqeZbHYElLbbj3BVrhtONTMbDfZ4xWmz7e/51JCZ+EoSGz7Lens7SGEhAbYrU54Qy3ILbwKT7/xQ9x4zSdQUp6NJUvm9S1VjCOn30ROkQ1L1sbug08Gvozf/e5/8cs/fAkpKQ5q1Or0+rhah8T4rT5zAp2eOpyqf2egfdOiT6NkBtugmTG3f5A7yM9+8zU0NdcgL6+IevGyc3Jx332fQ3t7M/71r8dw6613Y+3ay/GLX/wIhw7FBF7mLZyFouKbUVRYBrN5yACDiyAUCiIlJXVUKpSlBezZak00FiI88gN2bjcfaGEvL7IVuMWGHezlyS4suJ/Z3i7EC6idD1FiZ4dJmvj7ph+TzL6PJQW3Tq+H3R943Wx17pBCpYC9O9iVDuYsZgvrWCwjBaPaWlupAm1WZg5kSaYhnf1hnXVnuhJ6FuQWxvpwUqd65+4t6Oxsw6KFq/DBj68ekT+/5+RczFhowNKlC7F8Qxp2vL8QN954Mx544KPgLLWYv+I65m+0NbGrNRiM7Otx443992o84dDguTl69ABOVO7F1dfcgk0bbkFa6khl31s/shrvvLMZf3j0lzCm9eLwof2YO28hvvzF72L96mUQBAG9Xh/+9q/n8fennoLW0YHbbvswFfEbynuvs69rZx677zrdUYvC/PlIK4pXaLelmGhEzB+fHMz9bPUeRalwLX2fKlQQ1xzCkdi1c+ilY8z1k0mBINeLYDOHdvSleaRFEQpq0ak5Do+mCYXSlYjQsmhRSB3KmZNKz8w5V7KfW91DzqXJaKf9n5YX0HCgPaF+XOk5SkQiWegVDCtlNWz2ekSR3Z4oSr+bqIp4ooraMSKKv63V8helzj0WtYhJfelW405k6RcgSxhZZSFvYfy96vK2oPlsKipM16HevRevvfMrzE6/lmrFEEIRNxUDJEJko9lOnV6hX7luAbM9Oz+xyA1e4fl6UKHKRWybtAlVNEjLYG9TimPqTzBoeA19JQvjuS3d3d146KGH8NJLL9E+4/bbb8fPf/5zWCzK53Hjxo3Ytm1bXNsnP/lJ/Pa3v8VkMm0NaZXpB3noEaVnm5ldJkdFmTkzV2HfobdoqGk/pUXzsXjJYP3tffvfw6FDu+DtdYPjJWq0njlzEg8++G9Yv/4qtLU148whN3x+D9o6avtK47iw68BLcb+1Yf7H4bCOVB9V8kLv3LMZW955Br1eF2699R6kp2cjMzMbc+YsogbLr371Gu6999NYtGg5fvCDr2D+/CW4555PQKfTI82pqpdOV1rbGpHqZE8kKnHw0EHMm7+QXjckquFiRIbI9w8f2Y1nn38cDkcaigrL8cfHHsYfHoviI/c+gOuvv2lg2Y0bNuH73/suHvz4J3D99Tfgrrs+SNt/8pOH8fEHH0B2TgnKy2diIqipOYObbvog7r3v07QMpBIbN16J4uIyVJ2txOce+hrs9hTk2weNQavFjE/dfw8+dMdN+OnvX8RXv/Ig7RNuve0eOBwXVl+9omg1Nr//CLJSy2C3ZcKoH/R0k3O2eO5VOFW1GysX3UTTRmr3JFYGjKCDFb2aJgiyGVoYYJDNcGtq0aM5g1LpBto2EQjaxCepVaYvIc6NNsNuOMKzkGVllyocTndvI5zWfHpvFKYsh1WfieMdr9CScCbBge7GGpQWLMGKBbeM+/ZPdaaCeCjJ404mpezxzCu/55570NLSgs2bNyMSieBjH/sYPvGJT+Dvf//7Ob/38Y9/HD/4wQ8G/jaZlB1IE4VqSKtMGUjJJhLWpDRTPboZ60uTjs5GBIN+5OeW0795joc8rG7ojh1vYfXqK5CRnoWnn/4LFi5cjj173sN9930aFosVFssMvP3aE3hr+19ht6VBy+voTH9B7iwIkg3+kIuq6o7WiCb869lHcLb6GObPXYn5c1dj45XrRixTVjYLjz/+azz55GPYuPEa3HnnvQMPxYAvrGgEqdfB1IN4Uo6d2Istbz+P7p6YJ2/tuvU095kMMIh4GN/3r17PD7zv/3fPnt3YuOGquPUpUVV9Ejt3bYHP14uK8nmYUT4fGRm59Noi6u0vvPwXRCJhfPCuT2L2rFgUwK033wdO78aXv/RZLFq0GDk5MdG8W2+7C0uWLsJvfv0r/P1vT+CXv3oEGRkZyMvLxze/+S384HvfwLr1m5CVlYMrr7oOxmH10scKct0fP3YQa9ZePqrlCwuL6etc2G1WfPBDD+D6G+7Aiy8+iS9/6X5s2HAVbrn17oS3z2JyUPXhd/Y+htllGzG/4sq43OKl86+FzZKGqvqDKCsiKtaJG9JWOY8azSScO4geFPJz0aWphYjQBasrq0xtJkJnKqoJQCMT6TD9iPJVXm0jXLrTSAstgEnMOu893OWpp2r1rd2nkZ8xH+h7zDmNhViZdz/8kR74wl0w2LSoazqK0oKlSHMkLuB5KXGx0QQqY8fJkyfx+uuvY+/evVi6dClt++Uvf4nrrrsODz/8MHJylB0kxHDOykoucUbVkFaZMhCFaJv1/B4q4ilVjah46ptOozB/1oDqLivM7t8+/72BB/mu3W/js5+9G9dddxusVvtA+4nTO2nYNVEmJnnV5DiTdjHSjpy0mSjOYqcosKiuPYmaulP4+hd/TmtcK3HNNbdixYo1aGysx+LFK0a1brpNYvxEgUpy43Z34xePfAcWsw1XXHYr5sxeirb2JkTQRu9pSZRi97Yk00ER0Y6RZPJehETbRKxatRrrN2waWCeZ6WZBDOiXXvkbNl1GysbZcfrMMWx950WEwkGkOTPh6e3Brbfch6WL143wEJSWluFDd9+LX//65/jRj/7fQPuMGTPx81/8Cn994i/41je/gUd++zt6r6xbvwFRSYea6rN4/LHf4te/ehgf/sgD+Mi9Hx/T40eM/l//+n+oYvmyZWsw1pB+gESC3HDDXXjxhX/gi1/4KMqLlmHpgitpXzBaZpWsR7e7CYJCKauSwoXYc/gVbN3xBLT+DDgNRdCOMj+akCbPpS+CF80QeD8ypAUwwHlOUSeV6YuGH9/iR0SBu8X4PiRNBNZIIezhUkQ4L3qFOvi1rTBGM5EZXAm9dP5Q6agYwnvH/gy7ORsGnQXp9mIEh6QgEAO7y1+NnmADXMFYOky3q0k1pM93XCPsSfdkIllVuz2e+BQkvV5PXxfKzp07kZKSMmBEE6644gr6rN29ezduvfVWxe/+7W9/w1//+ldqTN944434zne+M+leadWQVpkykLyl5OliphZETXj/obeogUnKRQWCPuh07DzfHe+/RTu0L3/5u6irq8bTTz+BQ4f24MSJwwPLZKYV4vbrB0tLNZ/tTGh7iJH7/Mt/xE3X3XdOI7qfjIxs+lKZvphMFtjtTmRm5GLunGXUM5ydlY85CpMnFgv78eX1nl+LYMs7L+K+j3wBMyrm0xzppYtjarg9rk40t9RR77TJrFzj/Lbb7sLLLz2H3bvfx4oV8RUE7vnwR3Ds2FH88pe/wBe/GLtHFi5cQl8FBUX45r//G/76xB+xY8c2zJuzDNddexdMpvgydInS2+vBxz56I5YuW4Pv/MfD46pWTkLAP3Lvp3HDjXfhNz/7Ff76zI/w0Q98n4oEjgbieU5LKVAs40Pyim+/9iuobz6B44f3oLJrM5Zk3UNDWRPFghyY5Aj4iyhTpKJyLki4NvFGG8U0pIRnwCWcRoN5M7SSCdZoIZy+OaOOhAiFfXjn8KP0fVnOChrldejsy0jVViDVVEIngk50vEbrkhfYl+HaKz8x6vtOJflJVtXu/Px4PZLvfve7+N73Yo6XC6G1tZVGbA1Fq9XC6XTSz5S4++67UVhYSD3WR44cwde//nVUVlbi2WefxWSiGtIqU4acjArsOfIcQmE/9LrJz4uYSpBcYmKYdHY340z1QcyfvYbZYTc01OD3j8a8bN/73pdw/fW3w2y2DoRFkUHuvFnrsWjuxdXJJerbLlfM+D5yfBfmzxnM3Va5NCHG3yfv/xb+6+HPU2M2N4cthjYWlBbPRFNTLTWkh+JISaOv82+rgC9/5d/x/e99C6tWrcW99z2A4uJYaCW5z779ne/io/d9hA4OSkpKYTCmYObMOViydAXe2LyL3k9VZ0/juWeewff/8/P4wue/h+zskeJpo6Wlpc8z1dWBaDR6XkOaTKgdOLAHpytP0pSPYDBIJ7c+9oErMLN8dFURSJ70hlV30PrtVbWHMLNs9NEoxXlLsGXX71HVsBel+ctGfE483DNKlqOnKgxfpBs9wTrUe/Yg2zIPdr2qi6Ay+RAvtFuoQpDvRlpwAYxiBjhokRaeD2d4NjTgEy7DGZUiCEa89P3+M88jP30+ctPnoLp+P850vw2BM0LHmzAr7RoaXaYa0SoTQUNDA2y2QQFJJW/0N77xDfzP//zPecO6LxSSQ93PvHnzkJ2djcsvvxxVVVUoLZ28aj7T1pDOzLLAarUi28z2lHFBdu4VF411YsMRI+z8E+7I79gbwLEP7cfuuIvZ3irHq6H2E5XZM+mR5z/CbM8rYKsvfu/z1zDbt1ayVWCf+M83oERqMbuUUVeNi9nuau1JSP3bkc4utWKzW1GQOxutXacwq2zVQHtdVfwMVjjqBsfpEfTKCaln27LYXqG2GrYSs6eBfQ2lZeYntH4l5fTMcrbye3oW2zPT6/JBidmLCrCqaiOeevH/qEjXl77wQ+Tm5iNnmCrn/zz864FB8i23foAaBa+//iKsFhu+/OXvYNmy9fT7w/G4AszfdWaMDPkkRsQtN63DDTfegcf/9hPa9o8n36Cq2yTvlUWule29krXsa8XbeBS9fAj59vjvaQLscyZ52DWngza2KAzPscPGuTD7WtfI7OWjm5TVJrtd7FA0MczO9WqsY99/VSfZM7w+D/ucZeayr7uMHFtCqtcdrWxFartDeRJMrzfQ/H2DYdAb/MZzR5jL1lay78sBRWeNDHOmBF9r7JpadMt89LibUd24H/UtR2mIscZ/GPOWsFWYjx+qYbZLcqyPNQr5+N53fostW1/Egw/ci2uvvRr3338/0tMzaF7xL37xC6pIeujgfmx7Zys+//G78YFbB/vhgoV2rF/9H3jq6Wfx+z/8CM89/eTAZy2d7OvF1c0+Z9npJfjTo6/h7/94BD/+72/hCw/9gBrxRnO8QR0MBvDee2/hrR8+T73gxJvucDhgNBgRDAXxqS9+F1dccRUefPCTMJsH+yurjR0i73GTSU0r6hvPIic9Fk49XEV8KM6Bvt2Km6/5LJ577edIS0tDyBtTIR5OqEdEIOpCk+swUrmZOO5/GcX85RB49jOIndIjKSpenysaxqpQBUEp9LJmZxOz3edj9wmJIghskbRwmC0oZ1AItycRASyMRltCCtbBoHdM1LkT5VwaKZEI+zyTeWBRHDkeuJgUMKK+TbzOuf6N4MTYfSah/77V0NJV2SXsycAlN7KFB9OzU7DtiICUlHS0dzQiuyADN1x9O9pbNsHlbseZmgOYXbEaZlPsXDVVsce3jiz2c/HyGxcy20vK2GMKn599HwdD7P7JYGGfm4UrlScJM9LZ17Uss+8zTy/7uVh9hj1GGFgfkp9kDe0mRvRQQ1qJL3/5y/joRz96zmVKSkpoWHZ7e3w1AzIBTJS8E8l/XrEiFq129uxZ1ZBWURktTns2etzKoR8xkqcjSiauveYOLFy4AqUlsxTDh771rR+iuvoMmhqb0NrWjGgkiq9//fsDisPBBEt4EaqqTuPI4f1oaqpHc1MD/ZfQ3dWJa669BbNmz48znMYCMgHATQGVTpWR9HrdsFrOX3d8NMhyrBari6vCG++9S0u1leQtwTVrPwejYXQ1fkkt8+a2SjS2nYTF6MCGa+cPiN0ZDCZcf90HsXHD9Th28i186EMfpKrdZDCRn1+Az3zms3S57wVd+OvTryAlxYYrN6yMu/+yMjORPcrBA/Ekd3S0oru7EwUFJXEh4cQrvXz5Rjzx11/iG9+8n5aRM1usMJvMMJrMtBzczp1vUzX8r37t25g9e+Qk6q233ILf/vZX+NCH7sCSJUtRXFxCPeoZmYWwWK19In4yIuEwdu/egZe3/JNGCF2/KbafiWCzpOL6yz+Jl996BEsqbkOafeRklkmTBgNSqIGSzs2BSZOKGnEL8rAeJqSP7phJmikyjFYZN4ac/igCCHO9MEoXV/0jwvUiK7AaRF5s0IC+eJXkdWtuwrETu+jf+w6+jcL8Gch0zESKPQPLFrIdIiqjO7bJDikrOrS06GST6Lakp6fT1/lYtWoVXC4X9u/fjyVLltC2rVu3UidLv3E8Gg4dOkT/JZ7pyWTaeqRVpie1jUepsuu5ICFPsZAqdfA0FFJXu7xszjmPXUZGJn2Fwxc/MCAD7mee/htefukpbNh4FWbMmINNm65Bbl4BbLaUcS1HQYxorUIdSpXkhQhmES8RK+rhQpCiMtr4A4hovFg5+yakO4oSvu4OnXwdPe4WlBYsw5naXdj69ku4fNNg6SsCSX8gRvOHPvQhPP7447jzzjtw222348Mf/gidyf/xf3wBu/cfxS9+/zc8+pdnqHd63SqiSg0cOXoUC+azI4P8fh/e3/EuFi1aip/85Ps0FJuIfqWkOGkaRmpqBvLzi9HZ0Y6urnb6t9liQ0NjDbq6YzP+99zzKXovkm380Q9/S2tBZ2azvZVkW7/2tW/iQx+qx8mTJ1BdXYUXX3weZ6uqEPD76LEj/SsZYM2fvwiL5lyF7IyyC87rS3Pm4qr1H8Vrb/8J80uuRlbqDJo+MhSDJgUuuQZnxVcGck1JPV4oRHENRyEYROUSQoqSa8aLVt0ems/MyVpYxSI4IuWJrwtReIRa+n6sxeui0QiOndiNirKFaGtvQFZGAf07c83ElM6bzmiJOqVKUjBr1ixcc801tJQVqQFNREE/97nP4YMf/OCAYndTUxMN2/7LX/6C5cuX0/BtUhqLKHunpqbSHOkvfvGLWL9+PebPH105ufFCNaRVpgxElberR1WnnCr09rrxj7//Ab//w1NwOtXa3yqj9UafX9l2tLi5WoQ0buRHNyLDee4yT0oY9Tbo0820XqvDloV33n1hhCHdj8PhxBe/+CXcc8+H8ac//RG3334rPvCBD+L+29dhVkUJ2ju70dzagU9/9YcwGQ147E9/QGtbGxVZYfH0U3/HCy88RSeGPB43bfv1r/9JhdlIf/itb30W77+/lbYThfBwJET/JSxcsAJFxeW45urbaPmwRCDedPLqx+Nlh/c++eh7uFhysspQmrMce089A51gwjUrvgh+SGqUiDDyuTXQaGI5p0WaTYgohI6rqLAIcm406nciNTIbVrEQvXwderSVCRnSxIB2CVXwCNUwiunI8a9POAf6fNQ1VELLa3Hlxg/gqss+iFAogId/9XlElodGJcqpMrXRJFloN9me8eJvf/sbNZ6JsUwmYm+//XaaDtUPMa6JkJjfH0td0el0eOutt/Czn/0MPp+PCqCR73z729/GZKMa0ipTBpLbVZQ/D2dq92FOxch6wyqTD8lz2bvvXcyds4R6zsiAX6kEkYrKcI4c2438vLIxOTBurg4S14a86DoqAnShWM2pNKybEAz7kJ5+/jBsokj6jW/8O+699z789Kf/i//+WSUsZhPWr16Cz9z/Aby36yC++cNfYN/+/fjCvz2EBz/+KTgdDtx374fj1nPjTbfhlZefxcc/8Xn8v5+QFIvZA/cT8QxXV1dS4bOHf/IE9DoDRDGKqBgzMm3WFOiNU8ML09JVidlFm5CXPjfOiCZwENAg7aDv52g/AE5DPlcNaZXR4dHWgtN2ICu8nIZz+7g2dAknkBNag4jGD5f2DLzaJmhlIwTJDEE2QyfZYRUHdXE8fD26dcdhjGYgO7AGgjz6cm+J0ONqR1NLNaprj6O0eC70eiMK82eirukEyopitexVpi+xHOnkiaQbT6Pe6XRSD7MSRUVFNJKqH2I4b9u2DcmIakirTCnmzdiILTv+glllbNVplcmB1K4lQkd7925HMBQTRLr5pnuQkZFFvXQqKueDCGFt3voMHvrUD8bkYPm4RmSLZdDg4jw5xJD29Hago7sO1Q37MWP26A19Eqb2H//xPdx2yw24/55b8fdnXsVHP3gzbr72MsyeUYL8GcupIfzo736D+z/+KSoQdveHPjDwfSL65/N5qRFN1L6Hio2RnGcSAk/CrZ/466/w2U9P/sz8heAP9KKntwlr5n0EgnbkuSrmN+FQ9E/0fa/cglQNW0hJiSFjMZVLgKgmiKjGB1ETQUDbhiDXjfLwGoQlE0SE0KrbBVkjoks4jhDXA1u0CPnByyAigijnhZdvgVdoHjCkZcjoFk4gK7QCuujYaDcosXjhRmzf+TKMhkHtg/TUbHT1tKiG9EUynqlkKpc209aQtpgFWC0CJIE9iOeDbewvepuZzRqtwgzkzDvZy/fGypEMR9z/S2Z7zrx7mO0RKZaIPxzdTbFag8OJCuywSN7fyGxfu5Ydcqv74fVQ4sTBmFjUcE4rLB9SCAsMKKh2n9hWc07hA1404v2tm5FlmcNcD28KQ47wmHcFO69o3R1s5Uolw7zqFFuNtfk4WwHaqqDOzfEKKpStbLXtk1tieVjDkTayR4bL1s6AEoLADu3sbGf/dkczW3HZ1T1yeRJ+Zkvjsf29NzF//jKsW3sVfv2bH2Hfvvfw8Y9+FzUnukZuj469PZdvYA+Sax5ml9YpW387sx0FN0MWxREJkpGMNczFazvYxtaBN/oUoIdx5kRDQorXxeVsL2ZT3QEoYbGyBdj6S5ENp6ezl9l+5O2z7PWI7PXYshTyZzPY13Wgl30fZxemMtv1BraX9JnnH4PH04OamipYTIP5r5LEvt593UFme0ZRJv3X40mFz9CAwsI54DVapGWyxcXmrxwMYR5KW3NMBdaaosPr25tx5PQbyMuuQH7aUhzbN/Le3LPtFJTIz1mMfz67E253GA9944+4ct291NeaXzXYl37wtq/jx//vM/if//e/uOWyb0CvM6Oy9n3qgbaYnPjTw5tHVDS49/YfYvuep2DSZeDUkZF9vMnMVsSNRuJrePYTDEQS6g+y89jneOcLR5ntB5+PV2AnQnA1wuvIkVaj6l32c4WQpVmGoKYbbfJRmMU8RSVplmozH5Wh0SReLjGscCyUsCiofAcCCn2piy2aabONLvf7fCj9rsXOVmgOeL0JrYdERIyF2raScraSKnh/6gILnc6IZu27tPSUFkbqXS4Sr4RB0EImL4SpEU0wIwM5kVWxvPuBx1E6erjTMEiOIfsnwySlo023F+nCfNhlUs85/lk+cxM7RPy/v8nuc96rZZfq+eZ934NPF8Hrv9hDehR6fzSYtmDTigeZCt3//r83M9djq/kzs11qeY7ZzrVfxmy3ZrDLUvJyHbMdbEFtQKOcWqI5cZjZ7qt8k9mevuGbzHbb4qU4F0rPzWQiWVW7VS5RQ1pl+lLuvAyHWp+BTZ8NE2OihDz/ZI3qhpgoXnz9MRw5Fgu9PHJkL+798OdoHduvffXHCPsmp4sRJRkRBUNRJTmZO3sFdu19E39/6mf4fvnj0OnYRuBoCIm98IXbYTJzkKTIRZXk0euMeOj+X43ao0HCq4MhX9/LC1/AjTO1B+H3u3HluvtQWsSeyLPbnLj7zi/ghVf+hIOVryEtpQDhSCw/LBwO4FTNe1iSchl0Q8ogvb/vOVRW7aGvBXPXwWRMzFubDEgIwyyfO1zeIZfTML9KfrBE2GhRqESpMk2RNFFYpAwYZCdMUhZNDeC0sWeBiCisUj5ypFU03WO42rabq0GIc9GXFFlMlyFGc2ZkGUIaF9r1+6GReNjl8alx7xGqYA/HjOywxguf0AidZIPFyJ6wUhk90YiSlZ88EGdOMkVaJtO2JDPqI0ZlymHWpaHUuQ4HW/6FiBRArmEp8oxsj6XK+LNgzuoBQ5rwla/dh9KSmbDbU9DhY3sVVFSGU1I0G4sXrMfRE7uh1cbXP06UVt9xmIV0zHAsh+i5+NJq5zOi2zrq8NrWPyIQ9NJQUIPOTOv4GvRmNLWepl63maUrUF7CjjDqZ96clXhjyz9R13yYvvoJRwM4fPoN8DoZyxdeN9Ce6ogpnPbnV041Q5qoHpukTHg1zUiRS86zrOodUTk/WdGlCGg64eHq0Ms1IDe6lrYH0YOwxo10aT71WLMg36HIGrQL+2ERc2GWcum1p5dTkCOuQT2/FWYxk3q8xwq/34snn34UkiYCkxibVGo37oEgWeAMz1JPu4pKEqMa0ipTkizLbNj1Odjd9BiagvuQa1im5sBMEqRUB/FAk9JF/XzyE1+n4nAqKokYq+lpOVi3+gY6E06uJ5e7E50dPchMZ4dfD6fDXY2Tne/AF+nC/NRbx9T4IqGB7V31kCUJ2ZnxRp/V4kAg5MOMkhWYWbYKKbZY6DSpef/6tkexac3dyEofnWp4eel8ZNjLMa/8CjS1n8SOQ/+k7U5bLmzWeM/UnIq1mFm6Eo/+4yuoqT+OnKzihENuJxurlIcO7WEaOWCTC6HFuSIRNDTcVUVFCZOcSV/keqoSXkavppEa1i18I4xyOjq544giCKPshAW5SJEGNQ/yohvg5qoh03QSDTqF4+AjhoGa06SmuUMqRyu3D3nShQueHjz0Pn73h//BV7/0Y/h8vfjr33+NJUvWIjuwdqDP0sg8HOGZ1COtcmlAQ7sVUgAnAzW0e3SohrTKlMUopCDVWAKNKKhG9CQz1IhetnQtsrJyJ3V7VKYmXp8bR4/vxt79WxEKB+Cwp8Hn92LF4muweMHlA8uR0k9Rsf+ak2nYb2+gA4eqX0SZ7XJYdVkQOD2gGRTnGhp67e7thMvdBo+3C9ZsD0rLZlBhvMpTx/Hqq8+hva0FmqgFzpRs8FotGpor0dh8mhqy/oAHi+ZejqMnt2Pl4utRUboUJqMNt1z1BZyp2YfX3/k9jEYryouWoq2jBrNKVyE/Z/R1YC/fcDse/sWXEBUjSHPEJhDmlm1CecFKZOaMzG0mYevXXfExvPrWY9ix+0XYrE58/CM/GsglJbVpz1QfpgJGRAGY5V33ej1U9IwMCbq7O+h3Sa33icAi50EQTXBx1ejkjsIkZ9A8VIucM1Cnl5QeiiAW5k48/ioq54OEdJulTHTzp1CC+SgVY6rXPk0rXJpqBDVd6OWa4gxpYsSmSKU0Bz+s6UWU86FTOIr80GAOcZo8GzXcG/BqWmCRsxM+ET1uL3792x/S96+98RRaWxvxiQe/jrLS2fjR878dsi0cve5Vxoap0Guood1TE9WQVpnSVKRejv3N/0R3uAZOXfHU6TGnGX95/E1aiud7P3gIra1scbaJhNgKpPauytRi3eobsWDuGjgcGTCbrNToq6utxz+fe5iKFc2fsw7HK3fi3fefRTjULyyloctxGh4LSm6E3ttvbMr0/4gURLP3EBre2ooedxvNVbZaUuGwZ1LDeNu2zfjTH39Nhc7S0jJx3fW34pprb8abL7yHblcLrc1cWrgQG1d9gIZOe3q78OSLP6Fh3GmpgyVy7NZ0LJ1/LZbMuxot7dU4U7MXTW2nsXIxWxBICYvFjoUzrkFr51nsPPwv2ub1d0MnKIeSptgHBarC4SAe+8f3cdXGezBr5iLsPbgFBw9vA8fH6jBvWn8HiiquGDCoT5w8hEce+W9aNiszMxc1NZW4/daP4aorFYT8xhiyTSZkwCRlUMOhV9OAHs1ptHB7qHc6Cj/1QmthhlnOpssn0sWrqt2XLjniavqvUZThgg+1/GboZRuscj6McioMknLuMakzTRCkeBE5EhZO8qwD6IQFiRvSz721D4sWrILBYIQ9JRWfeODrVH1/KCRHm6iPq97osYObYpE6KlMHjTy0UNc0wOPxwG63o6P+JGw2K7S9bC3piIMt+BKR2eq9xl62CqnMs5eXeXZ4mmguZLZ3u9hCCMcPtDDbTx9jq3Bb7Wzl0LLZ7A4/PYcdNlSYrizMEOHZnooeF1u9t7Mj5kkYzr7tbDXh6uNsQ0wS2Zeq3hHCi2/+Bjdc8UlkpBUgEvWC4wRYrGwF84ws9vY7M9hqxaePsben+gRb4b3xEFsR3t3mZrbnzGIL7TgKEgvpWriKrRxKWLSafd21t7CVnndtjdXNHY7ByM5dPXXoDF7f+9OBv29Z8x/03/U3LmAuf+0ytuI5Tj/PbA6s+DGzfcfbbGXzE0fO0tA+YZjavt/HvkabTrQz28UwO4y0V+GaTi1mX3NBBYV6k1PZOOqqcTHbvZ3s39YqKLMb7Ow+qmAJ+7qbuZB9rZw6xFZqPfhivBJzP6m5bGXojR9m5wkvWMEW8HnrhYPw+nrw8pZf0XQBo8GK1UtuR2/NuSdKImIAHlTheO12ZForYEUejLwDep4Y6IODKm/fuRTlMPVi9RuYXu9ItXlC4bwSnO58m3qMytM2jKgqkMg5SMlh9zn9SuUnzr5Ly28RIzozrUTx/lu8qpx66fvTKU6cPICnnv09jGYDOjva8cP/+ilmz56HPXvex1/+/HtaZiszMxt1tdXo7fXgP77738jLK8Bbr+7AE//8Of7tM/+F9LTBZ8bWZ9nq8pXvnklIiTmRsHPigY6IPlrfl5yXoWgZZbIIrHQSY1oUvnZNQtt5rt9Q6q+zZrGNsoCHfe+XzRuchBnK0feqmO1Htuxnttv60giGE42yfzcU8iekhq2kdmw02hI6pilZbLVwv4L6vtL9dy6UtlXMqUO95zAskTykhxafV0yJrEdEGPWW12GIpiM7uIq2m82xsYML1ehFM/IRy7+ecw372RsOxHuUyXD7rX2/hq1rDvTSyHGIIMSuuQ4+1qemi/Ppv997+lPM9VufZz9fIxH2cahYx67GwtsGtRaGUv3WH5nteiN7fGseMrE4lJTSZVBCkzab/YGNnc4j6dmVMbgIe3wVyr2W/rt7105sXLcabrcbNpstKe2Wfzy+AybT+NQov9Dc/Q99dE1SHrNkQvVIq0x50py5NAfx1a1/wO3XfREGhfI6KuNHZcN7cX+TsFstf3GCUSoq/ZBwXuIZJoZYQe5cOFOy4JFbEYp6EYx6YDNkUY+0KEVQ07UTje7D1KjKySjC4rw7YNGnK5bb64fXjP56TTeX40TbqyhMWQqdll0WbCyYXbZ+1MsONSJnz1qMb37tFzA5InA6U2GzxSZ4VqxYg+XLV+PAvl0IhoIovPdB5ObmU8O6fyDvdKTHGdGThQATzRNVUbkYIhovgtpWqoZtDytPNg+HlMXSiSnQSSMF/HxohR5swyIciSnsewPdEKMineAikwuSLEGUyHNRzzSiCUFND7r4E1Rx3M1XDRjSKpcGavmrqYlqSKtMC4ry52Cx9wq8suV3uO26z0725lxy1LTupf8KWiPWzLlHNaJVxpTDJ7Zi7ox1mDtjAzZvfwxPvvRf8Ad6oeON1Lg2CQ5YDZlo7z0NuzEbq4vuh05rAmcMQAokXkP4fDiMeUg1FeNM17uYkxnzeCQbRACwqCh/RDvxuC9fEQt5ZeVbx4SWVFSmPiGuB22GPSiKLIIUZnvulQjwHZA1UTjDs2nKQZjzQEQvXKiCH+0oxy1xyxNjuabpII6e3YK8zNkoyJoHUu6chBSTPir2Lw+LKRX7Ot6GTrLTOtcEH98Mj64GUc6PqCYAH5qRE1kzpsdCRUVlfFANaZVpw/xZ67Fz3wtweTrgTGGHKqmMPSRXtJ+Vsz6IFIt67FXGDhLWXdt4FHde/w1aQ/najZ9Ar68bXZVBcJwWETGI1t6T1Bs9M/NKOE39IYHjZxC2eI6jy1+D+dmJ5T8nO/l5JejqaYPP30tz1KcD0yt5TSURPEIN9JIDgmjDueNRWMiIcF506A/AJ/SlcclAGubAgXLqse6ny9WIA6deAc9psWHJvUixZsHj7cDp2t3o6W2iaSAkVWDl7A/A42tHu3Ef/Z4hmga9ZIdbFwvnzw2vR5PuXRSGr6a53Cpjx/lKGCYDGk5DX8lCMm1LMqMa0irTinmzNmDH3ufoQDAzvRj5uTNQXrwQFsvEKNBeSrg9nThwdAtOV+9HcdZSlOWshNnIzl+aDFR13+nBoRNbMKtsNfQ640AIMxH26uFi+hECb0B+SkyRdyJo8hxBvWsfFuXeBZMwvfoVkhNHPGeSKF70unq5Rlj6avBOJqrG0KVLSriCGtPdxqMI6oxIDc8d9Xe1fSJjYa4XnCwgLbgATkMJeOjjrmk3alB1+DAWVlxDtQzefP8RWMypCIQ8kMQojHo7slIr0NpVST3TQ3PviZgYES/L9pNcaxlmPhMVoTvH+CionCt/PplQQ7unJqohrTKtWL30JoQiboRCYfR4WlHXeArv730Jm9behVkVKyZ786YFRBX47ff/hbrGE5g3ay0+csd30F7jQzJBRF3OJSSkkvx0drbhL088gtaOatx4xecubCXc2F8DkixC4AxUzAzTzJB+Y8tTWL50E6zWi9svCRG0CDthkJwoiAyWLZsMOG2sJrDKpYcgW5AangdzNIoTwmZal5kb5bCXfLfAe01MgLDv+hla45woyZNc6U6cQiDYiwMnX4EoRamAWa+vA+mOIiwovQHNnSfQ0H4UPK9DS9cpHKl6HbZwMRzhWSO3RZUEGDeiQ0p0qqiMJdPWkJb0Dkh6G1wiWy0w4GbPuAeDI+uOEvIyK5jtvJ+tnu0GW70w1M2+mVsaPezt9LGX1yuot3a1s5UL66pame0mM1t90e9jK2meS4X08lsG1TCHIkbZg9lIKIJE6G1lG2s7dsaragu2CKQQB7+brL8AWbBh8xtP473X30a2vJLOErPIrmCHJGfNTmO2e1oHQ5qHorewz43ebUhI0VdJHCmtkK0M7ephbw/h5X/GQsmGI4nsc7No1WBtzaHsef8QXnjtN8jPnYkHP/wjmodJKL+2hLn8whUjczQJ3Xq2QvOuHvaxfum2PzPbe+rZ901KkQGcVoQYUFAHH758LjuMtfko+/ue7u6E1LkjEXZ7Rulg2aLhmBUUvbua2ArjAFvtUzCyu3m9iX2d7t8aK/syHDHM7jMtdkdCx2Lrn9nX4qu/2DFgqHbgKDrl40jXzMP6lQ+ity2CXsT3ba4mtuJ8R0tfn6wBrNlAb7OyojP9PYm9X/0KuiP2q0oPrZCKw/4XwMt62EIlVNmXhJ0rkVPGVqDleLaB13ioPSFV+HSFSgQWO3ubsvJGho02NzVg1853sDz3Pjz/m+1xn7WcZlcoCA5J6xgKOdY6rQ1Bvjvu2ic52IlAamCzIKXQWITDI685XURGNKpJ2EtltrCPNa9jKz2HfOxtXXctWzAqt5gdvfPRRVuY7e8+8Hlm+0uP72S2m53sc99yopPZ7m5in8uenuaEVMFnbpjBbG9V+N1Vd89jtp/eWc9s76jqgRKk/jMLgy5CS6yJxl6Ywa5KMJrrK29BJv3XG+zC9spH6ftUSyHKcjeipuEwQv7YGOXGKz6Pzdv/iJ0n/kr7l02rP4zO7kYcrXwdl62+GyVFc5jrX7qOPc6cV86+fgNfYx8jk8h+bmnb2deK3LSL2V56+38y26P5V7LXI7Dvmd6+XHAWkQg790Ipqlipz+zuYV+PUyrRTBMr5Zg0JNO2JDHT1pBWUenHgBQUS9eihnsdPrkFRigbLyrKVJ4+gn8+9/+wZvlNmDc7VvZDRWUs8ciNaJJ3wohUlGtugU5jVjSAJwvinbJECmCO5COgbYNbfxY9hlMQYKaeWJI7aRIzYBIzqVcr0UiKTk8tzoa3ISIHYeYy6CuFK0pIVfxCeOyx36LAvpSGyo8F9kg5Ovj9qLG8iIzAUhjENHCI1bJWUZkIREQgIgQT0diWC+Hm6mCTzm9Inw+9MGgYegLtuHnBQ3CmZGPH/mdoCgoxojesuBsWcwq1RYhmS25WBRbM3nTRv60yfVFDu6cmCVUof+SRRzB//nxaT4y8Vq1ahddee23g82AwiM9+9rNITU2FxWLB7bffjra2+Jq6L774IioqKjBjxgy8/PLLA+21tbV0JiYjIwO9vfGehoULF+J73/vehe+lyiUPGcClS/PQwR1Vc2cTpKOjBZ/87A340+MP44arP6Ea0SrjgluuQ5P8PvI0a1DEbaJG9EUzjjYbMQhN0Sxk+lYhNbAAjkg50sMLYIsWIazpRbN+B+oNm+HjY7nc56PdVYXtxx7D8brNcPIVKBTWw6hxokesQl2EGNZ+amiPB6dOHsfpypPItbHr0l4Ilmgu8nxX0BJWRFyJ1OStMj4HD8+uRz5eqE6VS5MgXGjR7MJZ/nnIGhFWOQ9BdKFTc+KixwBksslqyADP6WIpHn2aHJlpRVi//EO4YdNDyM2agVRHjip8miSomoMqSeGRzsvLw49//GOUl5fTB/qf//xn3HzzzTh48CDmzJmDL37xi3jllVfw1FNP0eLin/vc53Dbbbdhx45YyF4oFKKG9mOPPUa/f//99+Oqq66CTjc4006M6Icffhjf//73x35vVS4NZHanaUU+OnAEfk0bzHIWbfNw9dSLZJXYIcgqwPGTB+hh+NqXH0ZXa2Lh+JOJ+uCcOpDnQZt8ELma1bBqxi4YbyLS5IlBrRftELhYKLheTIFZzIYckRHkOtGuO4ASaTF47tz17feefhpLy29DRkoZmg7HQjNNXBqccjmqI2/iVOg5HK8M0bJexakrkedYkPAxZoUNkvZHH/0lPvqxT2L3P9mpQReKIJtQ5Lue9rGiJoIO4364tGdgEy/eKzhaVKmESw9i1FbzfY4aGWiXj6CBP03/bNccQFhy0zSvi4mOWDvjfpxo2kzvH1GM4sjJrVi1+DZkZ5SO1W6ojCFERDHZUVW7LwFD+sYbb4z7+0c/+hH1Uu/atYsa2X/84x/x97//HZs2xcJXiME8a9Ys+vnKlSupIc3zPPUw0x/XamnbUEP6oYcewv/93/9Rg5t4p1VUEkWWNEwrijw0iVe6iz8OUzST/u3XtMPPtaKDPwJ3exGyLLPhNBYlV57KJLJ33za8+daz+O8fPganIx1drfH56EkLOf/kOlCZErijDfQOtSJ3TNcrseUQJgTSvxildBikVJxxb0GGcSasuiwqVDYcIoxHBuSZjvIRn/EaAeW66+l7R5EVvlAH9tU9icaeQ9Q4J16xls3ZKC6Yg+LCOTAaBsPJvV4Pdrz/FrZtew3tHS30+Xv5pptwxVWXw+/3obfXg5qaKoRDIWzYeCV2//PpcTkWRLCJKB/nhTZO+BTXZF4DKpNDq2Yv/XeWeDctPcVH3fBJGnRzMf0HUhdahgjNRWQ3RsUQGruP0LJ7b7zrgiAYkJXO1gpRmXy0wrknMpMBTqOh4d3JtD0q5+eCexFRFKnn2efz0RDv/fv3IxKJ4IorrhhYZubMmSgoKMDOnTupIU3CwT/2sY8hOzubGio//OEPYbXGi/x86EMfwubNm/GDH/wAv/rVry5081RUmFhRgHYcQUDTDpOcCaPsJIozSBcXgTd6cbZ7G4pSQsi0zJx2tZ71OhNVFE2ENzY/g7s/8BlqRKuojBdRKQADHNNyAistPA+ytgfNvsPo7XkTAm+ETZeNHPMCOBAT/QpHA7QG7Wi8KlZDJtaUPoiw6IcohRGVIsjMNeF01UFsfudvSE/NQ3HhXHR0NaK+6SSWLFmDBx/4MoqKKtDj6sR3v/dZ7N6zFeUVs2C12mCxWPHlr3w74b7hQoh5AKffOVZJIk809ypCmh6kS/OpEU0g+gVZ8jJkikvQpNmBoKbnotMkOE5AUdoyVLW/D3dvJ65a98C07L9UVFTG2JA+evQoNZxJPjTJg37uuecwe/ZsHDp0iHqWU1Li1UMzMzPR2jqoGP3d734XX/jCF+hDe7gRTSAdEQkfJ95vEipeWnphYTJPPn4ARqNyjp1BQfU6p4CtpBkMsNUIbXZ2SLBGw54GrzwanzPeTzjEXr5ifjazXdCxBXiefeEYsz21mK3qWlgaC3EezluPxWZ0E1Hj3fcC+zt6fawe43BsTvax7u1xJaTIGQ7HK63rw0RhGNCIbNXddMN8dGlPwCrlwYRM9HBniDwQfDUhWLVlqA7ugt/PnVextnQle/bZ5OQTUpi2ZbGv0+z8VGb7/ldPMduPtJ4d8G6JCNNZd0mO0rDKU+Hn+gawMiy6dHjDHZidfh2KiuZAy488TgdfiYXBiQEHnvnTC9hjjF23OfPYBrUYYSsfSxJ7sNLWxFa9bm3uTkhd3FEwUn2YwAkiNLwGnBx/LjwKyu9K17QlnX3tGhWU1lfexlag7XX5ElKmPdc+L72DXTP56EtnErr3fa5AQuq6vEKfo7ewZ/qbqqqZ7WLbyPs4zHoctFoAAQAASURBVHsQsHTDFxipyHv2PfZ9Hwiw76cBcTKNDGIbnm+GX0nMTElpXUnRVwlSdzbalAobUmHFHEQ5HwJ8B454n0NVcxYVJHMJZ2CNFuD41lj/TerNsuhqZ0eEtB8mfaYTqViNQGcPDlTvh1Y0wx5ehupGCdUvvAKAvICIWUBIE0HDGXINk30MYc8fHj/nvim1Kx07JaOchMAOJ8B30nB4VlmiRM8NC2IwSRcQnRIJsytmKPUhIS/7On3k1SeZ7bd97Wpmu8MVU4MezuK8eCX1fhb88gVmuz/A7pOVDMj//crzzPaet9nPv6yynIT6RqXqFF2t7Pu4TKHiQxRBvFv1G/p+Ue7tSDUX0/eBiAs7av5G369beC8yHIPP57QiLerqzmL7rmfh83uwaukNWLl0AwwGBWXzRnYfqNXGX4/5s2/H2ugNWL5uDvOad2awxQYrKhwJnTM+eJq9PRb2GOpME/u5ZbVey/5dBRXuHW+eZLZLElv3IcXBrqQwd5ly6lxbEzud5Mxx9nV39gi7Uo4ssq/r7//+HkwV1NDuS8SQJiJhxGh2u914+umncd9992Hbtm0JrYPkT5+Lq6++GmvXrsV3vvMdGip+IYSiXmjC0REPDZonQWYNh+SrkXIr6FvO1VcWi+f4uNlFvStKBwHD1xeOGEd0oNFodERiFq/V0t/2+nrivPr9YW6RvtIy3LDf7enh6HLDa+J6fZ4Rs5+kzAJvjB9gyHIszFnmhg6aZTrIJPiDPfHHpX97jRFoOLJc3OrobmmHDYbIcuSrxiGHgVaU6TtUOl1s2zXkGTRkfYI1zAzD1pOSJH3bN/i7GojR+DayPo1GBj9k/EJOJRHUJDa3pq9j5Yb9rlWXi6B8FlGxHRY4oCe7Lvlg0AEGTTqipnpoTV4IkoXuR//2D+5vbJAOYcgxJcd5OMP2QWePQBY1IwIbRZCB2fBWDqFI/GRP7BqQIQo98EY64TDm94UvaxCO+qHts8crI88N/DYRWdNr7LDqrfTa1fMW6hFDOIAe6RSiHe1IsxahpecUvZ7y0xbCZsqk55+QpS9FfXA7eHOIfi7zfYNIOf6aD0e9kGVxxF74/OR65kZcp8Fw/GSJRkPUfMmx8A/d44Hj0n9d91/PA0eJJydv8HoeWJ+WXJPD2jiJXnNxx7Tv+iNG9+Byg9/jjH3tfcd54HucGFv/sNMeCntGqBuR80bOT/z+0osIGl04bvuGE9tfzaiuF8Ey/L6MXYMD5yy24YNv+7ZTpsdJPu99yetFZn8wYgCpiR1745Ax3pAudsCoid2/sTa9xgDRwkMfIPW/41enM0YZv6uBSOsDDzkCffe51L8CTawv0IdG9hsj1jekvxo8PiOFqkh/wGnY6xvaTo7L0C6bF/v3l6zQAhssSEcBvEIjogigOLIOArmBDTLdj+HXAu03ZIAbcoqHHj+x75jKIg+DnAY7+srIGUf2f6m6DHj5ZhiGTTCQ9fHD7Nb+88bzckLHj5z/4b9Lt5P04X3LdetO0lq8IV0nwjCAl3W0zyVq36zzMdrzNvI503cNJLg+wRh7Jg9/DmrNodj9MezLnGFkP0T6DZ2V/fwI9D17Y8eLnMy+4xKNTQ5GwUMe8hs+vxHavntrKOHWlhFlvGjaXDh+OTJ+oRObQ26w/nFJ7Et9JS+HrZ/cx0Pv34H9NYZGxBaQ/krCsAk6jUQ9xUPHJkP7cUnTv3z8PoRFsvexfnIoehOHRSXXoaZ7F6q9b6HaC6SZytDWW0mdO5uWfgJaToCkIX1u7Ecqz57AwSPvgeNlZGbkorOnDm2d1cjMyIs9V4ftXFQifebwvZPofRi3axqOGj9+/6AxKEpkvBZbn8x7B8q+DR2vdXRE6Dhx+ERzVCTlj0aOJ33Rrrg2Lc/T3w0HBsvkDV1fZ4dv8HeH9M+RiECXGz6ejERHll0i10sg1MN4TmsG+9ghaSl0u/yxc8xpho9jjcxxLNm+Xm/8xJTUt1wgNDhGGDo+HRzLxt9vsXcjn5fNTU10fT097En6ZEJV7b5EDGnidS4ri9WYXbJkCfbu3Yuf//zn+MAHPoBwOAyXyxXnlSaq3VlZbK/nuSBeaeL5/upXv4oLgYTJkdyx4fTf3Dw/+BlHO4HYbajXG5nCBHq9gVlz0mgcOaM53PCi6+vrzATt4KysliePl/7bXxyyfUMMeL2R2dELAumwRg7YpejwkVD/v0NP9eCgot8bOcLYiXIjHtixr2ogDasn229QRIfalUO+SjKRYsvFb7Jo4IfaSoPtdNc0IwfOwyZrY5uswdBSo+RQkV2SiH3St7w0bJzPSRyscgWauL3IkYi4UQVqNe8gLbSQiuNoxXS4uAY4grPofvRvf/z+agBx+O0zYlgxbL+42HEZ1tGz87Q0I67fze88geq6owN/W4R0CLyJTgS5Ak1w8EXI0a5AjrwWDdHtiCKEHO0yqgBszRw5Qx2RAjjQ8g/0enuQlz4fshTFgdMvY17xNZD6BnM6OCCGNegNdsHCZwBS/wTUsEGkRiDW64h9JnljwyEPXX6YF7w/5DP+WAyua+C6Hm7sKBQeIPeTzJOBz9DZHQ5imHF/EANliMdq6OmRI+wuUiZzZYz7Y2i/Ere/Qy2gvi2knw3bPpY1N/xXlK4XMRx/LGITAsSyHOpNHHre+u7LYX0LPUaM+3LogGzo9kn8yPuDfDU6pBT90PGT2DfB1d/lkL9c5ioY/Omxe3l4f8CzfjcWdTKU/vt8oJvWECMciA5bjhl9yRAoJIdlpKEwsj/pX9/QwzPkkdK3z7HtiV8fD0u4dGC5/u6NrH/4oLZ/fXFzmEPWJ/YNoFnCWsNtPjlsRsgUhFfqhCEyGPXiNzTBGimME2DqX9/QwI7RHD9iow8/TnRbiEFGTZIIXNp6WKL5sAVnUyNa0ojo0Z2ANpROPdQjrvtRnrcRkx+W2DMl0fWJ2v7n1rAJ6wgfMwSHf3X4s7d/PWH280OrHdo3Dh51PRe7YHXD7n2LNjpiEoegNZEZ1GGTShw3cjJGIgZtvEc6bhJM6u9Xhhl3QfZ1RfZ3xNbII/snKnI3tA8f9hOagbFJ/Npi5d5GTliQyaJUQzlSc8rh8jfiWOsraAweQ65tPhbOu2rIegfXV16yBPNnXUnP5ft7XsLh4+/Cbk1HblYJU8GbGzDuh26yzBCsis22Da05r5UHx3UGQ2x2e/hko9FoouPJ4Y4ZMvkx0kEiwRI1Djs2sZufNw4+14euz2gavHbjHEJ6gY5Ph0+KhMISczypHVYKj16l5P8hEwBD90HQxrZz+D4ojWPJM0UnxD8bJS1ZbnBsOmJ9Q6+Xoauj2zTyviSTK+R86HXsiAgVlUmvI01uXiIYRoxqQRCwZcsWWvaKUFlZifr6emoQJ8ry5cup4vc3vvGNC9ouLWcYuKlZCFp2aPdQoZa4doUwcbOZfXMqpcro9eywMF4hFNxEH5KM9eiGjFJx/oG/RmaH5ukEdgiQTAYLzE+Ikco2XiLsSFHwLG8tWY+RPfCIBpXCAtnriQwbKJNdolHgEfbyvMTBhHw4aD7VFmTKi2HHLDRyO5HhXwpdIBvNlndgDJTSmrDaEZ1zv5cysRBPMagQBgn2NTT0QeJyd+BEZSx0vtSxAammYpofGRK9VOykzHYlTjVvxdHAU4hQj2WMeuyDTV8OOTryutDCio1zPxP3OwZtKvZWPoVi/eWwC3m0zSoXoc1zBiZzDjQy+75hhYcTdAL7HhR49vXLgb1+RYN2mGd8AOrVI4Ouwe/RAXxIoSaxQugn67jF2tkheMMHHgObw/A2U4Zt32hQul6U7kulc6ZRui8VjhH1mrG2Z9ix69+PSLwTfoChE2IkCcFlPgUxGEBadPmISSu6vEKYsxhS2P7+7dGQkF5y311Y3iJj3pSiFCp+rhByEqTEQttnrA1HKddy6KThUIZPMp4TjQkRTkY7fwwZvuXQSkaEtN3o5E7C0FvAVDLmh02WnA+ZO/e58fGddOKdTP4I4ZioKDnLJr4UrbqjyAmuG7N60yTkM3oB14DEmsCh95lSn6Ad5XUa+1tpfGLm2H2jTcc++aJNIb2FhEGwtlMpN3jAkI5H6T5WHGsg/rmoSXD5fniGKB8lOrh8iq4YejjhDjXDH/QqjnPIvdl/vPcefIv+m5cza9hkxpDlNQrjNIVUA6X0NbOZPZ4kxl0iod0pUfb6BYX1uNzsa9dsZj8L+AC7g1K6RiWWk4WOS00JjWPpd0ikE/O32SH/Sud4xOxAH7a+CFhBuGhzZ9yhjvckEhubAkLnSUFCV9a///u/49prr6UCYqRMFQm7fuedd/DGG2/QcO0HHngAX/rSl+B0OqmwGFHgJkY0ERq7EIgqOCmrRcKUVFTGGhsKoJfsaODehVnOhDM4F+2mvUgLLKKeGfI+07980g58V08rHv/Hd+l7g96MTes+iEXzLovLkbYic+B9obABXr4VBg3x5kjoiJ6AgUsBRz3FGJUB7LTmYX7xtThR9S7swh20LVVXjqOef6FQXjsOe6lyqRLl/OiyHIEuakda7yJohuaGqIwbnKwHLxnAiwZ0W44i3bMUXdZD9LN+cabxxizmINu/Fp36w3Bg5oDRbBKz4UENvNoGmjOuonI+5ufchCPNL8RS9EZJWfFClBSy9SxUVCZVtTuJBOuSaVuSmYQs1Pb2dtx7771oaWmhhvP8+fOpEX3llTGhgp/+9Kc0hIV4pImXmuQ6/+Y3MVGIC6GiooLWmv79739/wetQUTkXethRLF2F09yzyBUvQ1pgIboMR5Dj2whZL6PNvAt54npoYRozD8loaO+qwf53B0VkHvjwD2FQmPUeioUbTKPIEZZe0G8TBWE9F8upJp4xHWeGiU+FO9KAPCSepqGiMnBtcR74hXaEtT0Ia92w+cthDo9d3WiV80P6sdTeBeiw7QUv6eEyn4SskaAPpyLC+SBIyt6jsUQvOajhHuQ7YRTTB7bNGZqLNsNumKPZtGxWMhFAF451/gXzU+6CWatWMkgG9FoLlhXcc14V7sbmM9hz4HXoBANys8tUhW0VFZUxQSNfbA2AJMPj8VAj/7N3/RZ6wYiyhey6pEYzO6SnqJxdu7q+qoPZbkthDzoyctjhVqcUFAeV1I0DPnaYV0ttvPhEP94OdhzW2psXMNt1evZAZftLh6GEksKxkspw/bFaJILZzFa0ZOWoEzyeQcGNfnEUkq8tKoXxDqFHOI2Ath0hvhsFgSuglc2oNb6GnOBa6GQrXNrTcAvVVFm3IBKrj95PzoxY6PNwOIUwSFsWOwyrZudIJd466W1YuEykcbNHPPC7u9iKmediaA7XUMpXVoxoO9O6HWfbdqAgcgWMciyH0s1Vw6dpxZLSmJd6tOc+cwZbeTyiEEqmtB6l5ZUUptNmWKDRRiGH4kPTZq0uYi5fubuO2e7tCCSkFq6k8m2yKIS+65TnMvOLB6MNhpKWNbLaAaG6crA6wlAuu2EOs/3Zx3cx27cptEejo1dKZt2vQa4b7Ya9MEdzYRBT6YukTowbGhnWbKC3eWImwC6kfJRSnzYRhDg3Wg07qVq2qAnSfGWiJp7r3zBhBmyvth4+bTMygyviJiq7dSfQK9TRa8QSyaMe7NEca9bxtObK6G1K/BoY+hsiIqg1xVTPCUWB66CF4byK5OfaVp1CGOzsK0f2yYTUbLZI6/a/sKtlBIMxoavhGI3svit3bnZC1SaUyJrdJ3Q3DHGYtko/UYV2wahNSJ2ZkD+H3Wca7UGcPnMCr731BD52z7eRnVkEQdCNUOHuJxhgK7bf9EH2OOofj7L7zGPbqhNSME8rZJ/j4nL2ZKPFyh7HhsOJXYtmK3t7tr9+ZNRjlnPtl9JzkWBV+Kyrxp3QdRFQGJf+/JVP0X+3v/sOrrr8MiqUTCJmk9Fuef2VQzCb2c/3ycDn68U11y9MymOWTKixdCrTDjI1NNrZIb2UggjnBSeTTGiSFy4hPbwALfr3EdZ44IjOQH54EyIaH1XXnQgapPfgQjXsXNGkzJrnOOaCkwXo5cGHukXKg49rQ1RKzJiaVBRygFUmHiL20q0/htTQPKSG58IsZo+vEd3/u9NqmnhsIWkt1mg+jNEM5PuuQlpoAUzRLHTq2YPn8cASzaV9bpthFzXm+3GGZyPPdzk1ont0lejQH6Tl/IZDvuvjWtHLsyeox+oa6Dei8wKXoSxw2wgjWiXZ0eDk6X248ZoHUJBXQY1olUuLkUJxyavanUwvlfOT/FeWikqCsEqiKGESM6gHRifa0arbjVrjK4hqAkiLzEeLfidCGhcEmOEQy1Cnewu9HHsmdixJ08zu051mz4qPN2a9AxYpF2d0zyCgiXl8idFjkjPQ5a/B1GBkGQyVycOrJfWyOZoDO5FICiJfKjFskRL4hOYBb7AjPIuG33u1yobpWEImL7OCq6AXU9FkfBdBbjDSivQ5xBOdE1hPQ8CbTe9SDzbZvpDGjU7hGOoMb9Ia3J26I7RKgZLC/sXQr8BMopSGTi6qTA2273kK77z3HMKREBbNXzfZm6MySWiF5EoTUZk+qIa0yiWPVjYiK7gaKdFy5AbXw6Otox7o9MgCtOp30+PjFGchN7IWXfxRtPMxYZ7xwqhxwoEy+GV2OsFEkCUup/vs07QNtIkIQcefP09bRWXgmtEE0WbYA5fuLNJC8ydUZ0BldH0f8UJ7hNqBuvMZoSXo1h1HhNbhHX/INeGIVMAeKYFHGJliQbaJeMudodkI8l3o0B9Am34PjSLKDa2j+6CTLPBox2eSr/+a7RZOYKpCJih8fOIpQdOBk2ffR2PzWdx49cdGlPlUUUkmiGJ3sr1Uzo8qh62i0jdYsoixfPqc4Bo0GLciP3gZeFlPvbImOR0G2QGbVEy91OMNUd4OyN2TejzMUiZatfuoJ5p4YogXyG5gaw6oqLBwCzXgZB3y/JdNmCK0SmLYw6VoNe6k3mlitOokG+yRcnQaDiIrsHrCJj9ETQRa2UC9zi7daZijOTTEux+TmEVf/bmetDKB7hD1nmeGllGvtFYy0e0XJMtFXW8kjJz4ofvTD1Ii5dTzPdUg3vQG01sQuQDMNNd8YiNCJhtSu5jjeCxfciWyMgsne3NUVM5JsoVTJ9O2JDOqIa2iMuKmMFAvh4QILGIeevl6mKIxhVYZIvxcGzr5o0iNplDF0LGmV25Gi7wXJdzVk3pujHIG0sQ5aNbugEnKhElOA6dQS1hFhUWAb+/zRE+SEa3mSJ8XIqpItCKIQWqLxowNW6QYfr4NbuEsNSInAmukAM3G7dBJdmoQkxQbJUj98XbdPmp8k3NMDEQ5LMHXt81EfbzfqE7jMxDkBQiSFVo5Vn2BGOFk/aQEW1TjR6TvX/I3iUaSNSJ9BhQErxjI5SaGNPneVJoQIvtCjOhs/xoYJLbw43QlHAni4PHNkCQRKfZBhfWWtlp6zWRnsYUnVaYnk6E3o3JpMG0N6Yb9LRB4AzytbOXKy+5ewmx3dbHD2Zrq2WG2HM9+qHYfYStdGoxskQuTgoq4x8U+Rad2sFWGw4EIs33/O5UJqXzrLMr5JM0n2erAohhJSIVbSX1RSeGx7lgVs53MOMf9zcuQOUCri1ds7iccDpxXRZXX6MAJHA2xruFeR65uFfXWZGMJUjET3fxJ7G74MwqCl0OL+N9JzWGXiLr1M+vZv3t3fK3qz/7bLSC6OnZtPjMUzWZjK8v7/T0418w8C183+1ikZMYGXQ6kIezrRlf4DNJ1MxWVMZVQUtVurx0MGR/KrMtmJHRNRMLsPPKAKwhOK0EMxFtS6VkpzOUL72arvQYV7qctf2cr5ebNYJfEmbWA7Q1xdfugxLwV7Dq6JoX7ZtVKJ7P9yb8N1h0fys6/H0noPk5UYTqqCVJjRSexj/lEMJGRnJOpwH2x2MPl6DAcoLWbNX3/pYcWocn0NuyR0gkxHgXZDFu0iHqjjdFMagSzVIbJBCdJueFlI3JCy9Csf4+GLlvFfPoiEIM3ovEizPVCw0fQK8RyqyVNmAopipow9X7zkgmCbKJGt0nKghAh781UtbzBtBkurop6wRuN78TWK5EUl8QUkZVQUtU+/KrSfRk9b0UG4oE+q3sW+ZFN4GGi+0sYakQHAuyxSc2BxEL5DQb2JPLxt48y281mdj8g6NhjIl7HnrSVzqHaPbSawpvv/RadPfWYWbIWKbZ0RCMiurpb8Len/heyJOL2Gx/Ct+5RmBjWsp833/lmAxJh2XWDERVDaahhP/90Ova46+C7pxN6fitVDnE1sa+5Gz6zhtleNIMdwdB4KL5SSj/OAraGQEq2ssPh2GtViVXAcLLHynqLbur3z8kWTp1M25LETFtDWuXShTpNL/L+t0tFaOJ3IFNaAgNS0IMzcKKCDih1MCMLSxEU3egRKpEWWTCm4Y8mowXf/MbP8K//fB/JQJn5SuQbV0HQsCcmkhZOdUdOFiQ0tlN/mHryJjMvWqM+4UaFQXJAKxngEWporjKBGJrEwCR5yf11nifCoCcTMCS3noRn919LMdOepwKMpKKCQXIiNTKPthIBO6JrYQinDVxrtJ+WbdCJNlgggw8XDayLGJfECCfLnmtwTRTmvUID/No2+jzJDKxEskO97RoJ9bq3kCYtBC9feuriZ2p3Ye/RF+n7FQtuQ2nBUvC8DJ/fgyef+xk2rb0DW979V5+XevLSp1QmlmhkcsRbVaY/6jBDRYWBQy6nNUxb+J00jLAbp9GBIyjAZTAhNqjMiCymSt/klRleRj3WY0E0GoHZNPYh4xeDnkuu7VFJXkh94mbTNljDRXCG50725qiMkrTQQjSat1Ajtj83OSVcQcW9SL5ySngm+HGuL0360PTQQvToTqFLfwQ+qQl+vt/7RYxeDQ01J2UJ+41me7QIzfr30aE7SEPT9ZJD0YNOamYTkbLRQMLFybqIZ5oQ5DsHKj0kM6Whm9As7ESn4RAM0UsrnLutsxodPTGv8c2XfxVmk2PAm//siz/HgrnrqAc/K7MINiv5TDWkVZIHjvRcSRSCTrZH5fyohrSKigJGOFEkXoMu/jit65yCMnTgGApxGf2chP9lh1ejQziIJv125IRWgcdgmN2FIkoSNGoussoUhRhAhNRwzGOoMjUgodUaOSbiNdSYNPhT0a0/QcXHMoPxaSjjhSM8k9aQDgqdSA8vogY8CVsm2zZ8wpL0wzmh1bEyWMIxRDgv9VinhefTfboYiFeehLaTXH+37ix6pXoU+q9BMkOeQfmRjegVmxHlAkgPLcZUQZKjqBO30YoV4YgXRbrLkCZUnPd7AakbTdE98OysB89pceOmLw8Y0YRjJ3ciLTUHq5dfjyef/xkWzFk7znuiopI4yaaUnUzbksyohrSKyjkgg7YsLKbqrW7UIgQX9VD3D+aI5yM9shg92ko06t9Bdpida5QIJNww0Xy7sUCWZUQkP3yRLniC7fCLPQiIXQhJHhh4Byx8JmxCDuzaAlW4Q4UJyYkmAkf5viuTwoie/C2YWlgiBVSQayik70sLzUODaSuNNtBLE1NLWZAt0EcHc177w7tZEGPaGZkNohIgIoJebS1a9LuQF1wPzUXG9xPvvIyZ6NIfRYDvpC8iOkmEyUzRbGpsJyM0L3oKpIUOhYTeu+TBMma14bfpq/86TNVWIJsn0V9amisfknth1DjgkRrhkepxzbrPwpkysrJEV08rlsy7Bl6fGy2t1bjjxs9N6H6pTD5qopfKeKEa0irTj3HoMZ2YgTC8yMXqER4RMrxzRmfSUlltut3IkksvytAkwmATrTAZjHpwqP1fiEphSPKg2JSRc2Ke7QMIiD3wim1oCuxDI/agwLgaNiHJS2GpT84Jh9QfJh48onicDMjqNZAQlmge2g1ESE+m5bAGc455pITLqBBYZnAZkhnivU6JklzrANp1B2CVyPZeXH9KJkxJLWtSmqvNsIvmIRMMohPoM6SJvzy2rCbpjFOiYk7SLSBr6DkmQnLJiFZjwCLhwQGxMeJpDkteROQgNajbo8fQHa0Cp9EiLPfS80KMar3GjhLhaqYRTcjLKcPb7z2N0uL5mFWxHFrt+KYoqCQf3BSoIa6Wv5qaTFtDunBZDvQ6o6Ly49Yn9jHb511ZxmzPzktjtvs8bNXEcJitfJtfzBZtaWtm1yaWJPZIkNcp5ICFFVTE693M9tazzcz2lHTl3Colb6nSPvf0sH/DpiBg09o4OCM9lIzs0ZWr0JojkIwcXG09CW2/kopqPymYSSf4fYidK56Pv31sYhF6+Qa0uk/AoRl5HR3ey1annLu4OO5vpyMDdbU1kEW2O8HtZqum55bGRIJYaBXug7JV+XB52rH3yG7wAgetxoSivHkozV+Gl7b+lA5kolkNSLdlodxWhtLy+1BVewTbdz2LsD0L61bdhlRHFk7uqmWu3+xkG1Q9Tezr/dhbx5jtzkx2XuJVn1rNbO/u7qYTAlouPrTz+EH2dhaWsVW7113DVl296Ub28gdPsJV1D+2sZrbnKfQHhMz3bmW2P/csWzG8c/HTzPaXfxkT3jmXSv1QeP7CBpnEUxfi3Uk1SJfYp0NFARISnRNYT/OiSThzRjDm/SMQRe9u/fEJLQGVqNLuUAXrDGkR6oS3EEQPUrPmMJfvaGY/m5SgwmPUc58PE1UWH/TO9winqPhkSqQMqZFBbQCtlp3uE42GElLnViISiV9Pm2EvzNFsiEIIGplHl2FQBTw7sAbthv3MyAKl31V6Xiqpfyf6fO31BZnRBuk5OTDzqTDIVnRHBp+dZlMK3P4WLC66DU5zASRZhF6I9fORAHsfPn+DFb/0Snhjx7N46oe3Y17pHtoezbyFufym4h8y228iFTUYfOBBdiRaqoLC9FN/OcBsP3WAXY3FYGdfQzU7mxI6N4miVE1mwTXsknh+X5DZnl/Mfl4S5vx7/Pinn5NH2MfCZGYfi/QsdnWYfrRC8k+eqKHdU5Npa0irqEw0ZCiQFpmLFn4f7Ciis+YXwuKFa7F12wsAlA3j0SJKYbgjTQgEO2HUOmDVZcLA2wc83lExgmdf/wl9bzE7sGnVvUhz5iMciuAD130PLR1n4PK0orbxMHo8b+D1d71wpGQiJ7MEVosDT73wvygrWYQ0zYKBwYzKpYlLVwlnaLZi+K3K1IBEE2QFV1PPtFfbAFs0NtAl55W8pkot5aDGBVETgk4eu/JrqaG5aDP4qYFKymINxcvHjBpOvnidjAuBhLTHVMZb6GsoZHtJbXBiPKeEy+m9OlH57kqQ8Hgf14puXSXCnIuG0Ic4F1VLJ7UxRDmM0/7X0Cu2DOR+zzbfgtxSMqEuM0tDKkEedz/65GVYv7AQc0smRoFeRUXl0kA1pFVUxhC9TGZFJYTRCwPOPUOqxGUbbsZ/P/x5ZMo2mDTsSIhzERI9aA9Vwh1ugF/sglWbBZshG92hWtR4dsCotWN+2u10WS0v4P67Hlb07hTkzKWvfpyZFnR3t+B45U60ddTjox/6PvYceB3bjz4KqzETFoMT6bZSZNjZkR0q0xdSJskpsz1/KlNvUpB4NTsMB2H1Fg2GeMtaSJroqJWvJzOcuVW7G5nRpWOqNE4mGYhXt8OwH22GPcgILoEGWgT4Dqp2Plmh3cSIbjBvpueMlOkiJb5I6TJSM1snW2nYef92kcgCIpxGjFb9BNV4J7oJ9cbNKA5cT68fEnbv5msQ1fihF1NoeTXi7Sd/11veoN9p6NXBos3EHPPt0GnMELhYBE1sEjjxY2wx6nD7xpljvm8qKmOFGto9NUnup6GKyhTDxzXTQY0eFz5A0esMuOGae/Dck/9EOX9DwvnSNb7ttOZzvmkFrEIWOA0/ENp9vPslpOjyL3jbBK0OmRmFSE/Lwz+fexivb30cqSnZWFJyB0Q5ik5PDU42boFBsMJqTO4yMSpjR7/SMzEu8vybBsKBJx01R/qCYXlWSThzu2EfMgPLxqRCwVhDDMaApgMevg4mORMWKRuQpTFVnSPXdkZwOdUDaDZtp9c+0cdIDy9EiPNQo3GiIdtEdpF4dcm2DGeocU+iCUhZM1JijCwvSNZxN/77NRNqjK8MtFmi+cgJr4Usxm5SUiOcTAYIohUmMRPlqZfRZ9fYkFx56yoTz0TrzlwIamj31CT547MucY6e2IHmVnZ+pUry4dHWUjVR4hG5GBYvXEcHaEMVTEcrVOaJtKDQvAZ2XW7cQKQnVI9A1IVs8zxcLBzH45brPosZZUvR2HIGjV1HkGYtQmnWKuqNPlT7IrYe/SX2nXwBkiRe9O+pJDdkcF7ovZ6Gu3bp2Xnuk8EU0JdJWgTJTF9DjSxS0swYzaAGZFjTi2TDxZ+hNZSDmm6kRxfQNg039rMp5JikhufCGZpDQ6RzAutgEfOoB3gywt6JUSxINvr7o4EIjhEBsibTO9Q7PN6QY1IaGNR8yAgvQVaE5N8PPp+IKjcx6sl2GaNZY2rci6rq4CVPonoLKiqjJUncBipKHDu1C41Np7FmxU1YufTaSSmLNNXQ8DIu0o69YKxiAUQ+iCgCFxVSSM5zHrcSteLbsGsKRp1v7Y120BxoLacfYWCf7H4V5SmbxmyW32S0QJYkNLdWwaRLwfuVf6FGM6kFGhVD4DgBFqMTkWgIJ6rfRmP7CWi1Ohh0FkRoQKSRvgSYYUfhmA5A+2vOqkwcZFBMwjT7BZmSgYusfHRJQ7yIUU0wLiyY/OuIVND6zK3G95EeXAojKbOUJPg0bciOrIRJzhjYZo50d+P0PCCe06H4+TZ6fCbM+853wCPEQqRJyPlo+1CyXEZwMTr1h6maty1cAkdkxrhuL9lG4i0noeXkOTkUMinTYThAS4qRPWszvg8p2IMi47ox+e1wVA1NudSJRsJIdjiNhr6ShWTalmRm2g4zavc0QOCV6zuGw+xZ2MDTbCXN5Xewc//sDguzveZkvNhHP7v+xfbWLLyR/fDtbQ/CLuRj2/vPoO2kH+nGmFqip5UdPiYY2adUDIsJqXO3NrAVE4crow7FZHIoei9HozY6uH72eXN3tzPbQyHy8B3EGNYgGpABcXzre7JUTk1iNkQpijO6l2j+HK3l2cfZXY3M9TQcYxseZi4TZikT7dIxZPELB9ozcuIHIf0Y7Xo0d9Uh1VJA3w8la44T+97QwZgNFM8YLBFSXJ7NXFdLYxezvXbYdc2H07Bu4X20nAjPaem5pqHkfQazvycEd1cPelytCEcCWFB4I/28V+9CWPTRV6fvFHrkE0i3lKPIvor5uxyvSUgltHxmLv09qyU+x/z9N9n33/7XTzHb0zLYNXObHGw18oXLcpjtywobmO2dQiGUsEbZuesn3jnNbN/7q8GwyaEYjRNT95fQK9TTsFGVqQ8tLSTraO7v8HJmlmguNYpIrnCe/zJax3kiUXoGkQlIgdNDj0FFeq0QRm974irGBoMlIfVp4vEiueMkxWWo90sU2dUsLgZieLYb99DzY40UwRzNGVGW8XzoJQdyAxvRrt8Hl76SRpOwaoQrefKUJvWVlicVLcyRXDjCsyBBjDOwW407aZg5iXYg15JbOIuQ7IOXcawrLlPuM5W2qcW4AXrbyH7JHGBftw/94lMJPRf/+H9bEnpundrMrh7R08muyBGJsJ9zSlitbG2VZXfGojSG8/ofdiW0/sLl7HFD4yH2WCa3IP2cecEstFr29Vx/kv0b7//jKLP9lg8nd7m+oaih3VMT1b2Z5BCBDRKSO8d5E9IMqoDTVMAazUd6cDHNJfRq2cbzaMnhl6FDOgaXVAu/PPIhTjzNQckNWZbR5q2kr3z7yPJDNQ0HqXGblV6KsUSvMyPDUYy0lAI4bDmwWzJhNafBqLdRVVV/yEUN56Vld0LL68BxWjgseciwlCPPvhAlzjWYm3UDfJEu1PbsQofvLPVoq0xNtJKBCh2pTA8E2YQg3838zCimUXGrbv0JTDZerhlt2v0IoHNS8/NJREaIZ5ddHCtEhNBm3I2U8AwaUk6eN4ka0UPh++pgE8/2eEK85wZx5MR9VBOi58xMJmegQ1Tjg1uoQoacPGX0VFRUVC45j/R0oTzlMpTZN04JoQSVQYxSGrICa+iAJ8x5qAeHGL2JlOwg6DQW5PDL0S2dpoZ0BjcX6fIseMQGuKJ18IiNNOyblqQJabAo507otda4dXT6qnCkipTTAtIceWN2mupaD8HtbYcoRei+leYto8b0wOcth7H3xHMwCDZEogFEpRB2Vj6By+c9RLueLl8N2n2noddaUJa6Hp5QG051voFc20KUONh1OVWSG+LV8vOtNAczGVB7zYvDEZqJdsMB2oc5wjNGhA4T72KT6W0Eua646JuJJKDpRLv2IJzRmUjn5sJwEUKPFwtRwXYJZ8dt/UR7o824F5ZIwZjdY87wHGrIEkN3rELOO/UH6QSMPVw6UD7NKGbCrauCKZAZdx2RY0bU4D1CNfXoD4igjXE5xWef+Rtee/V5OJxpcDrTkJ2dg09/+iF1bHWJMBWC+1XV7qmJakhPAVQj+gJ6zCToNXWyBTn+tejRVaJdfwBtDbtoHefClJVIMQyGV5+PVK6CviKyD1XiZrT6D8LK5yKFL0S+fhUEjQkhqRfWDDMMw4xoglGIhdyXFixJ2JA/F76AC2ca3ofdkoVAyIPaloNYMusmFOcspp87bbmwGtKpAU0sGp7T0VrTO049hlzrQjS6D6LIuRJRMYhgxEM90eS45NuWXPzGaTTqfTMJkNDMLv1RyCExKepJqxpDFwcxjnP9G9BpOIR2w35kBuPDJIkBlhqaj07DYbrcRJ5zv6YdQa4HHq4OadF5sEkF0GFkyoUsTdx0ik50IGxwx+WVjxVBrpvmEZuiWUiJxFK8xgKynSQdw2OuocrZxCt8MUQ0XniFWCRWl+EoNEEO1mghrWNNjHWX7jQc4Znxwm2hOXDpyASEjKzgKugkG8YyW4CEfFdVncEtt34IZWUzcPbsKfzzH4/jU5/6nPqcuETgpoDypBraPTVRDWmVaQcRiSYD6GTwRpESMWnh+fR9bnEeugN1ONHxCgrsy6gxmcgkiaAxYwZ/MzgdEaSIH7DqOSsMWvYMvlGw0bDqNUvuwlgyu3gjbOZ0dLkbYNBbqFfaZhrMzSIh3qtn3kfDu0k5LLINhJaeUzhS+zIW534QVn187pTUVwrlYiHHVSk3X2X8IINw4lUiIlVEkGqykdQsgTE5pxnBpWgwbaalnYafVyK45RUb4dKdiTOQxpOQxoMWYRdsYhEcYjmsknJJP3kCiwYQgUmSO06MSVK/eSwg0UZkMtarbUBaaCFM4tiXFSQeYhJ2HeQ7YRYHo4rcQjUMooPmU48Wst/F3pvo+y7dUTrJovPbqec5PbgQTaZtMETTaNTW0AmbrOD4RTQQDQ+PuwcFhcWYMXMONByHFIdTFW+9hNAKE6vjoHLpoBrSKioTdbNxemSYK2DTZ9EQ5gb3fmRaZiJfOw8WA1schGkgJqi6HYr6qaE7HuRlzKEvjmfP9pJttRjiB0jZjpl9SuSqoTvdIKV0yMBfKw+KPU0ExAPo0zbDJZxGhOuls2ipwYUw4cJrpqvEG1qk7q9XaGAay6QUVJPxHSp6Rb2J43SOifAZCRn2auvgFGfCISafsF0sT9oFXfTiDWlyL7UY3wMvG5Hr33jR3uJzIWpCA/nSsaoHIrpJKTuZQ7HvhgtaJymX5tHVoFeogz6UQieW00OL0GE4iNzAembN6/HC5XbBbo+F/ZeXz0TA70dNTRWKi8dWN0RF5UIhbpVkyuJMok1JaqatIa0zGqhqt5JaNc9HE1K93vLoDma7ycx+WLp62ArTjrQsZnvlu2yV7JCXLdzD69hGSEtDVUIq5Xq9edSK1P0EAmwFVIuFPaPs8bCPhUbBkFJS3lT6Xf0wI1ESNRBFGZxC/eLx9lQq1U32dvSri2tRxl+PoMaFLv8Z7DnzJK3/aZUKYBMLaEmoc6maZ+Szc+NcTWw12frIDlgNeajZ3TTis3cef4f5nWW3rGC2i2G2ImvrWbaaaXoZ25NRsoAtnNdU1clsdzexa9ZW7R+5TwQNT5RzIxC08Wqn6Xns/MmuGhezfdsLh5jt/m72/dR5N1sh9PLrF7LX06us6Pt//8m+lw+9sT8hleGJxMs3Q+RCqLW8FNeeEVga5+kaK0goKjE0IvzgtW+KZCPKBdBtPAyrloMGyZGvPdUheblEXZmIXA0PWyYGkT1STkWiiKGUqKKzkrL18rtW4GzdbnS66tHVU09TU1IdBXBK85GXsoCKFw6lq8Y9Yh1avQbBIFsAjOeVh0B+/8h1jeb5Qby3Ia4H1r5JHKXlRVE6rzJ3QNuOCOdHtm/dmIeKD4UYzWGud0C1O8h3oNW4i+Yuy5ooekzHkSEtjivpqKxePvL5R6KVUjP7lZ6zoY3IaOG3I0dYBnuklBmZNe9G9jNi8SrlyZPX/jxSfZoIcf7y7W1o6GnEzz7+LLQwUMG2Lt4Fg14Dm3Wkp/L2K9jjrh/+H3ufD794nNmu1bInCkIh9nqUjqlOx64SodebElq+5VRnQircOj37/sgvji/71o/JrKCmrzDRTvD72OOc1mr2mIJ1jxM8Pex9m0qQ+yCZUjmTaVuSmWlrSKuoJDsGLgW5umWweEsQ1HTDw9ehTrcZetkOq1gIA9JpDiLxDRAlU+KJIYqwfn8N8o0rwGvO750gYmQeqRFLrfcMtIlSGGHJT0tP+YQWcDIPQzR9XAdqKpcGXqGe/muNFFLjirw82lq0G/fR3M6M4LIxu87I4L/e8jo0Mk+9dcM9ocSo8zhqYUX2RakaqwxqPpAyWAG+fUT9ZAIJ6R/LWvCEmob9aGo7iYqiVVg8+3qYDPZzTnwli0e6Vx+7Dy6UXm0dDecmxzk9uGjc++Yg56IGc6PpbarETsrYkcndrMAq6HQGNPLvwQEf+AsQcjNFsuDVNaA9chwZQqyMaJawAHY+H/WhHeiQT6EU11DRzPGgy1eLFm4PJJr/rafPU/K3XS7CjBnjWztbJXlQjUKV8UI1pFWmH8kWH3MeyCDJKKfCGE1FBhbCx7VSAZ0O8yFqHBBPAS8L0ItO6EXi4ZVw1PMUysxXwqI9d76cX+6EKIdwpOsZqq4dlnx0sCvwJug4MyJaCSIXRI/hBKzhIpjDeZNaPmYsIQMmlYmDhN2S0ld5vito2aR+iMiQSziDHv1JuIUzSIlUjNn5zQgsg1lke1Ns0RL0alrh59tgGQdv+KUImSBx685CCJohyMMigTRhWtd4rM4tmTQ8W1+DRbOvR1bahZd+nOhHgU6yQ9JEqFc6kdxigp9rR4++kqqkZwfWjFuY/HC0fSHWUc5PlbVJ+cZ+VXADLBBgpGHmF0J6YAk6sB/1eA+p2grwmpgH2Mg5UWG4AdX+rWiR9yFXsxLjQUQMwKzJgFNcT5+1Lk01zWHPFVePy++pJCdK0TDJBOmrFMpqTwpTaBg9qUyPEbOKyhA4noTHyFM3F1HKoa9QxIsQ74ZOtMXlxmWY8tATrsFp76vINixEln6B4mxrlnYhMvh50Nh84DV66Hgz+CEz/3UdZ+i/Yc4Nj74GbmsVMn3jM6CZSEg4HwknVJk4I7rFsBO2SEmcEd0PURkmOZg9+lOxUM4x8BCT3zSK8WJ1QyF3RE5kNY4ZXoHObx0z8adLGeKt7DQcRKN5Kwq918VNukmaKI1uuRjjOcy74Bda4RdawEsGzMlfg8zUkovaZg0vT3gfbg+XU/G1zODyhL7bI5yGOZKDdHHRhOoMkEkRIhAWM5aJ4nj8eSR/kwiQC0UrxVLIOqInkSXMH1yvRoNczSpUys/CKZfDqBl7wbFUcyG6xMMw9T1DO7mjyBXXJEVVAZWJIxphh+snE0RYnCh3JwtTQOg8KVAPk4pKksIRP4CYxhSYceiKMdd2B3oitaj0voyI5FdeDxH8EjJg1NrjjOjhXpS0wEKYIpkIatm5SSoqSrQadtMw1HOV5SGCVPm+q8ZkAEvq6RJjjkwAnQ9buIyqD6tcPMRwJuG+lkg+GsybaVk/kstLINEyAT7xPEUJIlz602i2bkO38Tj1amf4ViDLtxoziteMacm+icIazUeIc9PXhUwOTbRY39BJANb9ScL2Rc2FGyIk2onQGN454jOSomRHEbxowXig05ppXvQZ/jm0cLuhlx0Ia9i5yCoqKiqJMvWeUCoqKhQdZ8Esy02warNpqLdHbLjoIyNI1pjqsYpKAlgjRfBqG2mt23Oh7VMFvhivJVHmJiV08nyX07I558MeKYZPaJqwUH9i5E9niKFHBMXyfJtoSSMiQEZCkUl7mPfQyINEVN7bjLtoSHGGbymyvWthD5VC6PNgTlWIQZoSKaM1kxNBJ1lpKk+yYZTTENCwRUNHA7nvU/hCxc9NmnSahjReOKQKel26NbWwyfnUK13HbcFnPvNJ7N27Bx4PW8hURWUiIYGFyfZSOT/TPrQ7azZ7oGXLYivcNh5qS2j9oWC8KnA/ZnNKQsqCHraoKASBPfCMRNi/y/PsWnkmE1tNUSn8VUkNkhAKsb2fPT3NzHadzjQmqtcmE/uYDldF1ZKrWgCiCuNZQdAntF+Jqnwrrb+rLbEZd6VzPBTirck1LoVNyEVN6G20YT/SrSVIsxXDYcob2PYT24+O6jeJ2rFWMuHdf2xmfl5cMY/Z3trAVp1vPMOeq6vcFhMNGo7ByL5WurvYx85sZucgtle3gNdLCLvju7jyDcXM5e/60iZm+5zF7Pxbn499cf3zd9uY7S2N7Pu+pVbZ+1/9XmNC9/hkYosW0pDuNsMe5AY2UK/iWAp8EYOLGGwRLuZJMkYzRuW1I+MAIjBU5LsOEwGpm+sRapDr30TFuaYLLBVuDkakYRYMoo0qPOdF1tOUlKCuAxZu9ojlSdjwxo/PQX3jaTQ0nUF94xlEo2EsX7AR2falTM/z8vXsutQtJewJm7cf2zeijaxWSUVcqZrFue4zpXUN3367VELDu2VtBAY4RqXcrEdK7BqfwNrX54Moqhs0aWjQbaVRBxYpN+44kAmqoWJogQDbC5+WUghXVx30aTL02sF7o/5YLaAR4NO1wRcYHAjp9Ozjf2Cn8uSELYs9AdPVbkBadB56uXpqsJMoCvLas6cNe/bsocvMsF4Hpz72fKg5eWxUFULON44Kh/0JVSyRFYqeK61fSVk+NZetnVK9P5bKNRytjn2fWdLZfeypg+znfcfZnoSUuQlVCs85WUHV3lHA1g1orTl3KtdUSPZTVbunJtPekFa5BJHJgweXFMQrvaH4k/AEWtHRW40zrdvRG+yA1ZCOHl8jDKZ0OiNP8u/sYeW6mUTgxxGZeYGyMknGJXYNTDYkp1XiwjTkl1DgvZoasReDj2+mit/9OENzaB72aFWMJ7of0Ekp1HpvMm+l22qKZlOl6+msiE8MKzkKNAnb4YzMQq+2AWnyoCEdRRAt3C740I7ul99Dfm45ykrm47J1d8CRkk4HjycPswfmY4I8OceeTCQ5IhVo1x1BATaM6js62YZejl3SbzIxyLGJADdXEzvfkNCm24cQ50JE40NR4Jrz3utmXcyp4Y90xxnS/Tna5PkkIUJTmsYaYofaxFh4Odne7MhKtGr3QtYk0YyFyrjCTcEUEZWpgWpIq0w7qEP7EjSiyIDUbsqmr7LMNYiIQbR7zlJDmuQ+dxuPwQtR0ZAmYjIRvpeKmwXhw1SGGFCyNH2Nl2SERDMQUkIzqKDYxaq/B/gO+LXt4CRdTMH4AsTCpAmOsiZKx27pDDXeuvXH6YvkhV9sSHuyYyVeyqiMDuEQDW13o4a2E8OoW1MJq1yAHHk17n7gpgnfNlmcvH6AGG/12IwQ3NCDHYUzlLDGDa3ErgE82aHqZaHbUKN7FRFaBstAa8bnBzeiwfA2Lc1IytAZJWXxPyJ0SUgxxOprD4eU2yJluEznWMfFjAlInrRTHPS8aiNG6JwatAQOwy92obL3VSzW3jegKq4yvdAKyX9eic5YEmmNJdW2JDOqIa2iMk0ReANyHXPpi4R2E7EYj76K5uCRXLzhkPxGQbSOq5ppTFioEl7OiHRpHv2tCPwQMDniOioY0/BrAjm/pOTVxdBgeovmzRZ5b4QGCzFVIJ7ntOACtBh3whLJo+rN092I7scq5RH3M9q0++DW1ENLw/u1SJPnwi5f3PUwVaH7jzloxxHkY905lyUh0h6+HpmhFUhGiIedlGEkXlyizk6udV42UuPZw9fRiTRe1sEcKB6YDBC5EDpSdyGzYz3avbGQbFGOQKvRjZhAIPf7WNchP1/ed6ohAxmGWfBHu3DY9U8c6PkzNaRNhkKYg7EQdhWViUIN7Z6aqIa0isolQkq4HIJkQbtpN63tGatJPUiId0EvsvPQxwJiwHcaD4CXjPBpGqDhOKRIpTirfQEF0cthRua4/bbK+GOJ5iIY6YBPaEa95XXaRoxKa1RZZIhFqyEmPpXjj9V9HS9IeCqp98v31dAdK4gAWqHv2jHNEZ8qkGNJjmuutDLhsH6SB9rYdhLVDfuQYs3C3PLLMR1wYiZO4xmE0QsdlKMqApoOOumSrGXayCQoUbsm+gdRBOgkKAcOOaHVAxMBbm0VXPbjSOtZSttINAmhLf1dwAUYaOWIkZ5BUteZRHMYRyEeOBa4uCoaRp+KWC6xSZuKZc4Hcdz9POxCLlrNx2AKZk+oYa+iojI1UQ1pFZVLrA4sHxDQYdyP1OB8GCJpA5+FtD0wh3PG9PeCfCeiXJDmv3l0NUgJlaPHcAqp8kxqRNfxW+hy9dotyBQXI0XKp7VEp2LJm0sd4n3LCC1Fr1iPTsOhWFuCRqpLOIOAth2ZgRVUEfqiOUeKBxEFI6HXMa/32Brsl6IR3abdDzdfPWB0nesIBII++Hwe+AO98Pt7UVlzGmfrd8Ogs6C8aCV2HX4aM0vO7cGdKvAQkIpZ1CudhzWKy/m5DpilLCQrxKg0yRlw8WfoZAkRGBwavUTuIXu0FC5dFSK8F4Joid1X5B7UADPTr0KObS5z3SSkW5DHR6n9bONuyHJ8uDy5TkkETUf3AbqNi5wfhpbTo8J2NQ71/A1a0YKo1gshyha2Upma3t5kJ9mUspNpW5KZaWtIez0uCJweOMv+POBmqwgGFdqVUFJlDAYTq1OopAwdiSS2PWNlgESjEYwVSircSkqUksRuZ6mcspQ0eVFDFbs5GBJS5ybqpIm0K50zpf1VWl5JBVYJfw9badbXrXzNlS6aMeSvGegJFOBg81PID14OvRzL3SOeAkkXhI4zwutlq0l3NDef93ongyyvpQZhfQ+0Jg0KcojwkIArZn8JVrMTz77+E6Tn8Whq2oar1l6LxYtXoaGhBq1tTXh3yztINRaj1Lk+bv0ZM5wjflOWZdQfaaCDdpKLKYCIOsWOsbe3C1o9EBxW1aTybfa1deT1w8z23Blsb2rZKnaeX0cVW7X0wLPHme3RqPL9rSU7wIDn2d22KCZH2SVrtAByUEaX4TDajXtQ4L2GWQt9OOS66dGfpJ7oMTGi+xSblSB53CQEfToLgSWKxZKaUB84tA/PlBcjPTofHk0d6rSbUSpcDSPnpPdpr9RMa9j/43+fQXN0P3xSGwSNCVqNgeaumsw2lFk3wW7IRbCjF4LGiJ6zfjx3gq2Cv/Yudrj/4ptHqg+Hot0ItLPvma5OZWGvxO8zSVGJ2YkKnMZziGAh3V/W/U32mXh6E31ejreKf/8YhNyfIcFN0xXajHuQ598IibFNKSiB23ECJikLWdGl0EY2oFG3DVrRhEggip5gHZp9RzAn9UYqPEZq0BNvfZ60Pq7CR3sNuy91NymXByteER+O3dZZjcNnXsPdt38JGc6ygfZnXz2K+bPW47XNf6F71tx8FnrZRvfRrM2GT2iBX+6GPsiNajymdA6Uqkooq3lrx+S+rD9dyWw3GtkTA0pVPZTWr7S/KSnsiaDmSrYy97nGystuYac4NB/twIWgNK5MJtTQ7qnJtDWkVS5dOF4DjeYSVBtLAIsubSCkrt+QTovMR4NhK4wSu3TGaPFZ6iBqg7C7ZmHddRuRmhLv5SaDpZMnD+MXP/870tJi4dyzZi2g/7qOObGv+a8IiV6ERT8i5CWFkJUyAyVpK6AXLDjTth3VHTtjKxsyN5EtrYBDLh8woBQqjKhMlDEdEuHTNlMPMwnbHI3Hq9B7/Zh6cxXGpXG/qTI2kMkS8kqVZ8GsTcWZ8Ctw8uVwSTV0kosYKVGEkMUvRKlwVdykry110BvZE6hHSOxFMOqBgIv3UiqVFJpIyHGxIAe9aIQDgwZdP+TYkGuRKJwnKyGuh05U+rVttPoDr5D7bxdLqLeXeH2JQnZ6NFYy8Vj38zBpnfTlDjfjjGsruoLVSJXn0H57PO7FI5Vb6b/druY4Q5oYVS+/9XuYpWz4+BZ08yeRHV1BtyE3uhatbaegkdQHyHQiGglP9iaoTFNUQ1pF5RJE4I3IMFegFbvp34XBa2gd4IzwYrQL+2DRzKQqrIkickEEDG1I7VpCVViHG9FeXw96vZ1wOFJxturUgCHdj0Frxez06xCVQtDxJvoig7f20HHsOPsYjDo7/KEeGHUpmJNzNZqqa9Gq2YdcaS0NoewfkKpMLjTMM1JCxYd6dKeoCWWJ5p/XSL4UQ6KnIw6+BILGDLdYO+CZHi3NvbHoEJa3cypjQz7cqGUa0s2aXfBpWqko2/C6zMkCzY3mfHDrziDbrxyiTjzuGdFFsImFtFZzk7ADFjEPXr4R/mg3ffWreC/N+AjcTeNTIeJo5dtoaT8DszEF6anxEUSrl91En0VbNz83YPwPRSNpoZHV54jKxEIdAEl02Y3ntvzoRz/CK6+8gkOHDkGn08Hlcp33OyS66bvf/S4effRRuvyaNWvwyCOPoLw85kCZLJLolKmoqEwkKcbBwUWj/h0EuC6ao0dC8nwptSOWl0jorXAK7fr96BEqEdUohKcRCRqZHfrV0HISGWnF+MTHv4LXX3uGuYzTWEiN/BRDHkyCE0bBjoqsDVhb/gBmZm3CZbM+h/UVn0CqpZB6MgxwoJl7H23cQVRzryKAzgs+JipjC/FEpwcXo8twBJ36WN50skEMF2Loq4wtFi4TucKKhIxoAqfRYlHWB2ASxk/4cDIgHmkfWmkqylBIaSyfpgXF0tXo4o6j3vYqvSaTDVLrmaATUyCdp/4yeQYQVWy7VIzcyFqENC7Mclw38Pn81DtQaF1B85LHg5rGQzh44nXMLluP267+Bgz6+KoQOZklqKo9TCdptbJpICqLEIYX7pxDCFnak/I8qExfOI0m6V7jRTgcxp133olPf/rTo/7OT37yE/ziF7/Ab3/7W+zevRtmsxlXX301gsHJjeRRDWkVlUuUPPsC5Ac3oSB4BTLDy9Cq241evhGpkbkQBT88aSfgSTsJkQ8iZOqAK3cfXPrTEDVBhPgeNBu3o82wByJieWNR3g+3/RSEiLJAS2nhYnR01eOppx8f4Y0+HzqtCQ5zHrhhMdt6mQzsIiiWrkGKXIYO7sgFHhGV8cAgOZEWXAiftgVRzcQ+8EYzDIhqfKizvIoay4twCafVwfMkEop6ad6scZoZ0f3h3QakwoeWgTZiWDdxO/pKxw1erUQrINkgE6dayQS9ZKf9PplQHQ1BTQ+McjqdruI0AvIsS2DXj62o5VBaO6uxfe8/kJNZgaXzrlcUmVq/8naa2iQhPDCRRozoABfLwQ2ZOxAxsvO0VaYe6pRIcvH9738fX/ziFzFvXiz1YzTe6J/97Gf49re/jZtvvhnz58/HX/7yFzQ3N+P555/HZKIa0irTDlntMUcNMUJJGRCTlI7M8FK06fbAxzfD0l0GWSPRXGdPxnGEDT3QhvrLssgIc25kBJdCkMxoNe6G39gEl+MIjIEs2NxDhc3i0QkGbFx5N+64/T585jP/fvHnGhL0iBnu9dxWKhgTggcu3RlEFDzmKpOTM01ql3fpj0yooTqavoB42gp8V0En2tGjP4Vay0sI8BcmaKNycVT3vIdc2wKa0jEdpWcdKEUL9tE+itwHxIh2yGUoF2+DDJH2xfmeqxHUdqJXqEMyEeS7acnE1NA8FPiupNoHpP89H2GNB16uAQ29+7Aw7U4U25TDwi+W2qYjeHP778BzWmxa+dEhn4y8BswmO7Iiy2GQ0tHLNyCg6UarsBtuvgY6fyo4SYDMTa/0gksZLplips+j2p1ML4LH44l7hUKJiSCPBTU1NWhtbcUVV1wx0Ga327FixQrs3NmnmTNJTNsc6YDfgwinQ28vW304xZuVkIJgoorODgd7xtXnY+cBRCJsT004zN4egyFeqfp8KCmBCoIhYSVpZYXxYEIKj/ph4Vb9+HzsWeD09GJmuyAMUz+1iBANGvjdiRlSFSuIuvRIDr+zK0GlTrY3xWgcDB8bjXKzzT5YmmooIYUwlvwFyrP8D353MKxuKL/+6gsD7yNiJpob3kObbi/4dAMNeTNHi6m6sZ9vR6dwEGX8tbAKuXBLdajmNsOhKYNdk4sO23F869s/wrr1m+LWn2djncvZaPGywz3v/vpgJzmUve9WUtVacu1Rte6m49j6/l8R4QePHRmEGuCk4d6SFECn8SgkgxUpwXJwiJ0rj6c9oWu6+gjbM3Tk/feY7ZmZI/MfCUoq6OdS2U9UyV/pnh2qhDuZhHk3wnD35bHzo1ZJVjoO5+3riOCgJIPnuXOqHtPfgAn5ocuocdMpHEOrcWfCZbESVd+PbWtiA3Wl31Baj9LyOWUFzPb8JeznYk/9MPn7Pqr31jDbgz5232tNY0erZM5wosvVgN7WFqxddQe0fEzlvfEQ+3597Ft/Zranp8fnuhIMqWHoLOy+1xJUrlusN7CfjR53Z0LnwOMZnJThYIVFKEKV4TWYNOm0j7VFY8+1Zn4fFRsj4c5ZwRVoMm2DVSygZeXovuWwKwW0NTaMyX2jdK0Uzosd02NtlfB5m1CUtxCZljnoqT8Ci1MHuy5eKXs4afJVCEt+nD5wEFUY2Z/OmMtWZ67d05BwdYKTzX9HbuYMXL7mo3H7Hw5J0Ijx/WZtw1F0WQ+iIGseKut20Lai7EWYVbwBrXu96P7/7J0HeGVHeff/p9ze1HtZrbb3XXvX694L2BhjMKb3EBJIAiEQCAmQhCRAQgl8QEJCDb0ZG9zruq3Lrr2976qter+9nPI9M1dXulea0epopdW90vz8XK80OvecOedMe2fe+b/GKXQ5X8aayhvPqfLOU9XmqXNbZSaq+TOJ+JBMxiyNZdxudr0Jhdh1YGSkZ0ZjtGwCAXab8+Lvnrc09j1XP6fa5lfdfjGrdtfX57Y9ZJ/y5z//+Qual56edNmqrMz1ZCS/Z/62UCxaQ1ogEFjDpjhxzbKPoWN0LyKdGt3n1ud8mcb2LUmup0aGXUoPhANyI2y6ByXyCvikWkhlgxgdPbdYhFXC4SD+5m/fwZ0IqjC20RWd7PBKZeZ6xFODkFCPXpxAj3c3KiM7qfCVYOFoDL+W7pPuc+6hhkI+QgznstQGBG2n6cr0ZGYayktgDWIQvHLsAWxefdO4Eb1Y8aZqYTPcMJxxFBnN4+lRuZeuShOIge3Uy+h2CJ/GNqAvNM0lV6DGtxFH+h6Ax16KInsDRpLt5zSkyWShQxmLKT3PvOdNX57RcWR70SPPfB9F3irUV26ihvS2NbehuW7H2BFhFEvNOIvd0MwEVGl+9nILBIVAR0cH/P6JSVCHg10fPvWpT+FLX/rStOc6evQo1qyZGqawkBGGtEAgyKE+cBHaOk7TnyvjOxCytSOsttOBUMTshUNKu3jXKZehQ38Oq9XX48c/SaufziXHTxzAV76Wdv+++pK3wOMuwvN778Hq5Tuwcc01dAXl2f/j79MjKzkl8XUYcZzEkOsgyqMXiTe9gJD3UZxci073Uwip7fBqtcyV6YUmM+B3a9XwpRqpcJ5sqnQiRhjR80Nr134osoL6yg1YChAXaZeRuzpfre2kYZgyeFN1CNla88aQJqKP5LOy7Foc6vkDlnmuRGv4OVS61sOp8HUxLhRkEoIovc/EhffY6bSXmddThl2v/BCVJc04dPoJVJWuhMdVjAH9KNxSGQ3bljBHoErW9DwEgtmQ7U6dD2TyQozobEOax8c//nG85z3ZWyqmsnz5VK+hmVBVlfZc6O3tRXV19Xg6+X3Lli1YSIQhLRAIuDiMYihJB10ZcSRLUOKYcF0ukhsRMwfRoj8OTftTqOrcNSfETTJjRH/lyz/D8X299Oc33/Ypy+eyGV4EnacQVwZgN4rnLI8C69hMD6piOzFqP0XDYhUn19D90wuBjiQVecpW7M2mOLEW9jGlYsE8vgczicMnH8OV294+L26NJJhUIUBUrokwFzEI02rSLiRltkv9QlLpXY1gvAfd0QPw22pwcOi3UCQVDd5LUeZkb22Zb1KI4JR6L4799pe46co/QU3l9OFwyPYgu82FnRveBN3QqIDlH575d+oNEY4O4azxAn0PfqkOLonv/i8oHPLJZbrQXLtnSnl5Of3MB01NTdSYfvzxx8cNZ7Jfm6h3W1H+ng/yf/e9QGAVMqsnntqcQdwMyT5pJ8MIrZK30nAue/em41HPFa/uS++P+ru//Rp8Prahcy4yfUDElt5rN+g+gIi9a+4yKZgVTqMUlfFLUBXfiaDtDPod+6aEBJorMmWAGM1hpRNDtiPoduxGm/NhtLofwFnXk+ixv4S4nI5tmzk2Y/QL5p/O+F5Ul69CsX9+lJwlsle+QDw2iPgjEfUiYo4Djv10S00+0lx6JVJGFCWOJlxc9h6sDNyI1tCz6I0dXpD89Mhpz6TNa2/AUy/8BLEpWje5ZeDKHW/GO+/8J+p2ToznZCpG9yEnUlFoepK8CXqcSyqj4dgEhY9VPQrB/NLe3k5jSJN/dV2nP5NPODxRd4kL+D333DNu1H/0ox/FF77wBdx33304ePAg3vWud6GmpgZ33HHHgr4u0UIIFh2SbOaXf8wihjRuMpHQ8WYUveeG5uVrcdcbP4Bly1bNLl8ykImSVRrbDCmqQpfj6HfvQUIdhGSqaTEquvOblJf0sZ5UDZxa2QXZz7fUsRt+VMeuxKBjP7pdz6E6tRM2c26F0XQ1gj7bSYSVLrj0Mhq6x59qoqvQxGDWpQRdle52PA9D0lAXu5aGdyOIMjD/xPVR9CeO4daVfzVv15AUk8yOFAQ+o44K3dl1P1x6JTza9PuPFwriPl3saEQ41Uv/9dmqsKHkThwe/j10M4Ua94VztQxJnUhJIazR3oJ1K9di/9HH8Ms//hOuvuRtaKzbRPNqmvqUfitb3NBh92DTypuxa+8PEB8TeK2TL0VAXhhvGcHco6XSE6T5DBl1yHk09JjPrHz2s5/Fj340IRq5detW+u+TTz6Ja665hv58/PhxjI6Ojh/zyU9+EpFIBB/84AcxMjKCK664Ag899BCcHGHIC4VkEh+XRQRZ6ieS6FeVfhCqbOcqV/JUEK3OZvl8pZbUv4eGOiypLPJUGUtK2PumYrGJQpeNw8F2UfT7K5jpiQQ7/wSeEjpPfdrlYu+tWL55jSWF2Jm+M3tAg56QERmJWlLP5t1zaS37Gal2dtmKDLFVtWNZM20zUSsOVLHzmYqxn4PDyxfp+dCXbmemd7WxFdK/+Rffn7H6ZrvzUXxm2wmUOqeOVq/+1lnmeX7+f8eY6ZqmW6p/bg+7AR3sH4BuJOCw5T7DZCqKky2vUiOJ7LEm7QNZlTj0xBkaS3QQR6hbZSW2wItaDPS3WKpPqmqzpLTNE1Gbrj7x2haeAj+vfPHqAU9pltdWeALsSZTIaGhG5ycTGUG1BSP2U2iQroZPqplW8dxAioY2I0aw3fRRF9hsiKtmVOlByNGCoko34md98KUapt3fTEK+9bn20J9LEhsw5DiEpvDtllRjeVELpmvHp1Ntt3IeXhtbv4W9yttzhK26u/2u9Zbq38GH01oKM20bBzpyVbg71WfhMsoRPBOx9KyLimpm/Hz8dRIi3ew64Pfz3RB7e09Z6qt5ysc8eP1ZZW0js1xEgxFLEQF4z4533eUXrUQ0OYIXWn4Ip+qH214Mt70IRcWVKA8sg9eVO9YZjJ/BmbN7ceVF7xhPi8WDeODRb8GTrIU/uXxGZZTXnvHam9JlE1ExTgw+ga7QfmypugtFzjpER+IYTJ5AX/II/btmxNHsuRE1K4thhKe2U1oyt/3VjAR6w8dwanAXGiOvoYKbMykvFavZUSgOPbPXUptsFV6bz2O6/mYulN9ng9U8WeW+jq/Sf599+inceP211DCbyX7fhbBbWls78ypvJF/LltXm5TPLJ8SKtEAgmDXECNKkOPz2wljycbt82LzuqinpZ59IzycWYwVC6EAP9kLCPnjlZiiGUGydT8ikRkBbjiJHA9rMJ1GKtSjDOihS2jAhIYFGbadpCDZtLDY42W6gmA7qAkuEwJxGGV1xJn8fVVtozGp/shlliUqEU+eeV/foNVQASjIVKjDm1iqhIwUFNur2bUgpOPQiKGMun4LzJyL10BjDNcZlCGKfeKSZ+rCA8W5dNj+td6urrqMGTjQ5jNFID46178Kl696KIu+EyA9xxR8ezVW2dzn9qIjsQLf3GXhSdfMWKSGhhRFM9KArdAD1/ouoEZ1ZaS5zrEbSjKAnvh8etXK8HZkJJPQYiWOeavcIjxSBQDAjhCEtEAhmjYl0mCybvHiMOj8a4EM9+rEfQ/7DcMVq4EpUioHVPOORKrESt6PTfAFH8Uv4zDq6b3TE1UIFySoSW+m+5UxM8MxETkqKIC4PIKr00oF7VexSulJNXPetuKZVxrej0/U0ImonBpxpw44YAxH17LiP27LwbXN920sS4lXQp76KCm3rlFU/wcIa8dWBdWgdfAkba25Fua8ZnhIXqopX4oWjv8DVm94Pl8M/bjQT7494IgKnY0JPgExwubQKRG3d8CUb5zR/ZHJrT9dPkdQj8Duq0Vx8JWr9uW7kmpnESKoNAVsDmj3Xj3/TCmJbx+KjEFxvJVmin3whn/KSzwhDWrD4KIQWc5FA9xcD2NXjxdVV/O0AC8PsOwEykCrHZvQpBxH0H4cUlOFKsF0NBXOHTXJjmXQdjd06iha6j7khegPXLZu8J6Ksbde98OvLaBoJgZPBysYlxXSiPL4NQfuZiRBFehm8Wh29zqjtFDpdu+CVqlBlbD/fW12ykC0UxKXbbVTCY06scM4Xi2vz2vyzsuJqtAy8gBdafoz11a+Bp2QtqkpWQW19DF2DR7G8ese4unBlaTM6ug9i5bKdOedQSZxsae73pPZiL3z2SqwqvZ6pKNwTP4D22PPwKOWwy1ligaYwCJY6MwmLttDka/grwfQIQ1qw6DANSQyeLhDEwClNbsCegXBeGdLpgd75dZzUmB7ciairE0nbiDCkLyCq5EAp0hoKYbD3gM4EQ7N2vIu4iMfL2HkyXDjreQLDCAlDepaQkEJd6vPUs6BCT4vLzDdWy8BSh7Sby8svQ4mnAQe77ofqkVBTugZbV9yGg2ceRtfgMWxsuglVgWVY23wVntnzf1hef/Gkfb9k9mJuR+ER9CKIdlxS8m6mER1NDaM/eQwmDDR7boBTydKAMPLfiBLML6rNmoaBQDBTROsiEAjOa3Vp2HYctzeMLMqnKEOBM1lKDWnB0sZmelEfuZG6rpJ92wJrECGwLvUFyKYNlfrFwn02zyly12FT7e04eOYhpLQESv0NuHrzB9BYuQUvHv0lDp96CsX+apQE6nDmbFqoL9dT6fwNaWIUEwOaaFa04ynU4FK6j5mFXSEr0CaqHJtzjWiBoECQSRSUPPsIlvCKNOm0yUfX5yZ2HE+dO5FgK9w2rl3JTE/uj1pSAuXBU4/kqXYnkzFLx0+nQMpTt+YpGfNUGVsOnLCkTOv1ls5IBdiwmdCTRNEyV803QzCYqxx7LoXK0V72M+LBUraeTp2UR1WAo6geTlpSCyd8+2/uZab3t/dYUm7OqE+TlaWYow8xRzfsiWJsqjhJ16enwFkV9hexwxzVLWe/4xefZKt8V1RNjW1NeM1tGxGNxVBRnru6+OyzbLXikTez1Yr/+M1TkAwnTElDCnEoxvTiOTx1Y159mq6e8f7Gq2elFexQOYN9ncz0mmb2/kWHl33d/tNshXd3CUctnKPcvGzHWmb6C79+wZL6MK9NmytY6sbUPFAl1K+rh02ZeZvdeXBqPdMQg5li1w9f8YQycTapGHt5dfPr2WHi1m5mv+Ojy9uY6fEYu20pKWMrsxfVst/NqZdOTDGs+uyvUBXlkvAmRJBblqqqVllSmOb1QYFA1ZQ0h11H1GCXlb4+tir/dJExeG0jr33n9Su8+t3dcXpO4uDyPHKKiqY+I8JgC6ufc6NIWYZXDjyI5f6raYoLDdgYuBtHO++Bz1OEzetuwOPPfw92mx3LGy7Cqu3r0TYUpSvEqyon2tWe432W3rGjPoH9XffAZQug1N2EJu+d8DursOZy/r7r3v+9Ci3aw7BHS+HFhLJ7JDGKSJ903n34JW/ZwEwfHbQWkYNXJnjvjPeMeGMr3hiKd1+8ssW7Lq/skkgYVs4/HXMV6aCQEK7dC0dHRwc+97nP4fvfZ0esmY4FL5Hf+ta3sGzZMhoH7JJLLsFLL700/jcSQ+zyyy9HXV0dDcItEAjyg7h9AGFXG1yJavgjK7CYIS7etlQAcWfv+J5wQYEwx68rrvaj2F1ryYhmkUQYx6Rf555bGsKo3IpB+ShOxO/Hnsh/08+o1o5ChojBdTmepXtmS8IbhbhYgdHg3YmhRAtaQ88jZaQna22yE9ftfDdePfIQ9hz8A1Yt24njLS/gmT0/R0qPoSawEf3h04gkZ74tg+ghROSJCaeByGk0FF2EHQ3vQHPZ5dSIPhc2eOBEEdrlp+Z8n3yf8iqinIUHQf7D2g4gEGQYGhrKiWtdMCvSv/zlL/HXf/3X+K//+i9qRH/961/HzTffTA3oiooKfOQjH8E73vEO7NixAx/60Idw3XXX4bLLLlvILAsKANpeijZz3tDkGGLObtg0H9yJ+RcLmg2macI05s6KckfqEfadRtzVi6LhjXN2XsH8MteLF1FbD5b7t533echez/FzSr3osOUO/InIMFEsJ5xMPAhXqhTrnHeikCCTTiGlA0P2wyhOrYZfa0IC7FjI88kiXsC6IBBX6k0ld+FsZA9eHfwJVgduQcBeB5+3DFdufxueevHHCEUGsXXdLRgJ9uDFlh9jXdVrEHBW44XWH+H6VX89o7LSa38JMXkAxdpquIwKxOI9aCy+2HJ+HWYApkR8phLj4epmWgbIVqWg7QxKsDpH4DAmDWJEPYWBobNwOkZQUTa3auSC+Wc2q+IXmoyIX76QT3k5X+67775p/37mTFpktOAM6a9+9av4kz/5E7z3ve+lvxOD+v7776dL65/61KcwPDyMiy66CJs2bUJNTQ1GRsQ+RcG5kRRzUTUA+UZKDUKXkygJrUM+d5opbe5UhmyaF4GR9Rio2A1TKoyY2QLihj13T4FuZ7D1w+tki5FZYRRp1+rjtl/RMF2Ecm0zXGY5HGYRAsUTWxzIijQxpvdG/wcrpdvhltjbevIJsrrYb9+HlBxBTfyKdDiyBewPBOcH2X9MXLtd0RL0x09QQ5pQUboMb7rlMwiGB6h79+UX3Q1HrBJHeh6EYep0j3M8FYLTNv37H1KP0tnvusS1CCsdGLAdQCoWwoaqWy3ntcRci27pRZyRH0SdcSVcKKXtgC4l0ON8kXpEkDjzdsMPG/3XR3UP4vIwBpyv0HOUpnL7tiGF5A94aNf/ojhQjbtu/aTlfAkWFi019yryc41w7Z4/7rjjDmoXkEUWHrO1GxbMkE4mk9i7dy8+/elP5+yvuOGGG7B79276+z/90z/R32OxGG677Ta6Wi0QCBaGmKMHYXcHTDkFV7yGxuxdKpAVk4gnbfzIhlD/XJpIcGpl6Bw+gIDr3G6m0xGT+sdOaaIxdSOcZgn32IDagG3KB3Ag+hOcNO9DDS5BucTeq2kVMqiY60nH4WgnOpxPwqfXozJORMXEkvBiIWCvQXf0wJT9vkX+Sly14+3Y9dJPUOpsxoaq2+C0BeBQPTMqXyQGfHlyC11NdmgBlGpA46amWZXNiNSNsNQJ2VTRL+9Hg3EdImo72t0H4NVq4UstQ1IOISUHEbF1IyWHaPtOJkjJZFl17ArISu4e5ojSPf5zHWc/v0AgyF+qq6vx7W9/G69//euZf9+3bx9duC0oQ3pgYAC6rqOysjInnfx+7FhaWOi1r30t+vv7EQwGUV6e/7PwAsFiRlNicKZK4YusWFKKu2RVJeQ/CV1JoKzvUjpAEyw9dCmOmK0XHUO9WFN9PWSJLRhkhQpt27RGdAZyrS2ed2MgehpenN92ioHBbrx65GH0DrQgpcWxvH4b1q+8CnNBJDGM/e2/R0VyK9yGiLu+2HApJUgZUST0qeJa5SWNuP7S9+H+p76BztH9KHUvw5baN87ovJIp0fqVrWkwGyOauGYPScdQbmyB32yAHb608rfaQyetImo3YsrgWO+V+b8CU0qLagVSzXAaJVN0M6mruZwWSzt4fBcu2nQL7Da2yKJAMFuEa/f8QYxksnjLM6TPtVo9HXk/InQ4HLMyoj0VMhwOecreGBJTcrIYoKzinMc5XTqI0CI9LutZ2+Ls89kCkVydG0Omghe+qokWWlal8esqSvoHQzMZ55s4LoPDlZwipCOpJoocua80c75spcPs8zkcxkSszazzybJO7wOymZNu6hL8qi1nD7JCzyfBZpu4Nz2VuS45l8S8DyLwyHofRBV3ch9KjnM6tJzrysRlTwbsKSPnOLuXqHabkPS0ay8Z70rkPsZQE+zrKnaTeV27jX3dyc+Fnk8CVGWsg1Zzz2f6zPHrZqcTtzPWdWXXJHVYmXzRhKNsQoHW1OXxfBhje4LTru25X1WdBmBKOZkmz8Rbo+fcBxEBpXG43bnlFIoG2SPBmSiHQ1Nz3i9hQKmBBhXmpIJ66nQLLdvZ7VMylcTgSE+OKS7LKi2j9r6Je9P0FEzDQGdnO/YcTIsQktUtSVagyApKiqrgK90Ew9DGFD4nztja5kcimaSeLxPXTaG3b2SK+qgky0jqE+lkVSLzUIobVETdXVB1L+RUGbSyLsiGCkMepoI7ZAVFNScGVKae+1yme7/nOo48MyvtlT2QVlQfP99YOfBnOQ5kn0/1pZ81rRvUvTh9ccWpwDQnylUGV0WSHmtOKveKJ5ZTPzLnM+16znGZiDi6FMzkJke8zV/Hvl+nW2e2Q2rCPOdzdgQAI2XO6n2Ycm47lFQ0lKlldO+y6QhCkscerES+mHu+yXFrnaWp8XaI3EYl0hPI/qQTLl2f8n4dY+9m4n7T76PClTGikzntS9IYHDcKaOLYSxoNOaGP1Q9yaG9/J55+9j4U++tQWloKl8OL3sHDGN3fhpqKFaipzF1ty5wvlpioR8RlN/MyJHdo/H41PYmW/kexsflqJM7aIJP8kWxn95cxmVmeSZfCeh+GMfFgs/sPXVeZ/aXLM7XfcpYY8MbY9Ug3ci2m7HbN6dOY7b1dM6b0lzTdYI03xvKRVZBo/ZVyy1p2udfJu2bUc5MYm5Pa3cnPJfs+1EnGYOZ8Ls9EO2FoY/WS/N0mM/sPm1unfUKm/1ht34nOxBOojbvgdJDoCxMHu702rGm4BF5nOXqCRyG7o+Ptgbsqyb5u0kC9vB4hRwu82sTCiuwNpesRve4E0WT/FPUwSVLSRkhZH0qkUlSZa8bem4Y+6RUUFRXBrVVScUxj8vMbG9eRmimbDkjkX4zd89i2i0q5BlE7sGbFTgRDg4in+mDARa9L7l+X0vVVN1KIxkfgdgXo5Fegnj2uI+OlTDnIhlQtVjklOcomc75skezs8kLKSvo4cj7y/NO/q4o5flz2I2SVK9JOZs4zcd30+ZSs7RLZ7ak09rwm3wf1fOG0u5OFxyfyN3Fw9n1IFsbthOPHjtDoPV1dE14FgqXHJz7xCUQifI2OFStW4MknnywsQ7qsrAyKoqC3tzcnnfxeVXV+bnMELeiCJDsQjWYGbTPDbmeHTLL7A2BJFZiM8ADkuJaeMde9SciyP+e4DCFO6Izi4hogd3xM6WzvYh6fbtinkkiwC9DmqzYz00+8fBg8Uim2Yq0yZkCO5STr50yjm9v5maa1Pay6lz1bNHkrrJ4AtAQQD0W4ocxYemSjvex3Jkljg8XzhBfyghcy4nR/l6WQa7zzT1eu9bHJhqnH505eDcnHEAoH8Y3//jbz+I1bvsRM/+o/3M9Mv/QGdripG68qnrLXefPOD4HHvQ8BmyvuQsAxEeqEUOTfhqRmYHQwe4Ruw/FXO5jniY9mv4OsnxNl6ErsRiOuRRueQH3saipiMxrtQsRxBnYtALvmRVINwhtvhBMlzNX62YTs4L1PXvidcM+ApTAi2ihbgbayib3iWVrNDgd05mV2CCGPnx3L9fApdjguXWeHRIsE2c/OzJrAYNYPCfBqQHisi1EnW2vnQNMmnltSHsWg8zCcehnWVt2EEL3lTHuUft93/BV/VfeJX+4d/7lz5AB6u3tR7K5HuXcrJPvU+4v1JtjPlBNqLD7ATq+4NL2XNcP+gy9j9crt+Mzn/mY87aort9N/r7vxaly8JR3iaDL/8b4fsq871m+RVb9+9x7Y9QCUE+S5sPcjKoq1VTxZZr8zl4u92h3qmdrf65qJaB+vbWS3i4TePnZ94tVlBzUqWem5IcLI05lu3SM43DVtCM7JrUuKFz7KzQ4N2N/DDmNXVptuQyfnzeb15DSJNbbtMDQ7Hn/253jtNX+KokCuV+Fdd/85fv6br2BZ03rsuGzHeP/2k8/9lhsiKiob6HGchZmsgU9Pl9mG1ewFlI5X+GHvhtuTGHT3Qg1PtG29nkEETBXe8Ca41WV0/35Y76PtYlG9hxp5Jb56OGwkDnWaYE/ueMyW8mJPzz709d2HO678LBJDUs6w7OgzrRgwj2AEp6HCTVX53SiDUytBsb56yvaG8gb2GLft2HFLbXhmAebcjE18SRbHXJzxgc3Ga0vNORP6cjg8nDylpg3NOZnVa9L73YeHhpDvkImIzGREPpBPeTlfrrzyymn/7vF4cPXV7P4vbw1pu91Ol9off/xxugk8U9nI70StWyCYLelVVfH85oqo1I8h5RhK9QsvLkYGYQdfegJ/fGBqDNKRkQF86esfwf6+dBihi6veBbeteHywOxeut/04SA3jVjwGAykam5T8rsVlhJwtiNsGqFtiSgljyHsAuhKHTfehPLINqskeWAsuHHTlcA7QpSSS6gjK4uyJx5nSFzqFI90Po8hVh4sa3ozY8IUVwDnbeRqX7ZzQGtE0jXp9PfjQU1BVFccOsWP9noth51FIUBFIrFq0ZUAwQV3xZlQvr8DDT38Pd936t1Mm/ZqXb8LBw89h774n8MbXfRhNjdP3HcR1mkCUu21xD5wmexKAh24kcaJvF4ZcLbDpEwaYJsWQUIeg66XoSe2DX6nDqfhD9G+q5MCZM520Pd++8s05hvRkSL+yverdeLnnR3TF2eMqzonlfNp8ECVYgVXSHbBJHuhmClH0oUN+Di6jHC7z/AUKBeeHyjX+8wi6lJ9HYqb5lJd54Oc//zluv/12akSfDwvq2k1CX7373e/GxRdfTENckfBXZOk9o+ItEAgWnoQ0Ar/RgGIjvwbJRUVluKr+rxBJDmBv70+xp+fHWFl8Haq95xeeKhIfwXOHfoRoIr2q4UAANvgQxxBZi0YYXRjwH4Epp0fo/tgKKrxGXMKHfAepcd3l30UN6uLYWjj1CQVmQWFCVqIdWgkS8uzjyA5FOrD/7D00Hu7FjW+54JEFyMpbx9nTqK9tHk979dW9KC0to0b0bAnZ25BQh1EZ3rmktBOWOiuWXYSTrXtx/MyLWLsiNyzpjm030s+zL/wBrR1HURQow4jtBP1bILVySjkhv5cnt2LAtp+qdjs1a4b00Z7H0B86DV9qObzJhvH0pDIKd7IKqxw346T8EvZH/w8lajOqbVvRmtiFYk8tNi27FR7nua/nshXhDVd9bkr6wGgbUohgBC1ImmE0SFdDkUiPUUsnBFJSFC7Gwl441UeF28ie8zLnSpQ4JuqlQCCYf/70T/+Uhl5evnx54RrSd999NxUT++xnP4uenh5s2bIFDz300BQBMoFAsHCQQU7aHdFEKDwKn5ftsrtQeOxpg/rY4MM4OfwEPLZzz/7HE2E8+Mx/IjHmJr2schtW1l6G54/8FJH4hOsjMaKJ8ZzhJO5J/0D2sSbLqPBYRnyM7CetiG6nbq6DrgMwpCRGnMdQFbl87m9acMHrQHFiDQZc+2CYl1j2dgjF+7C3/RfwOsqwY9k7FiQ8Xzg8ilB4hK7MEKP697//Db7xn1/B5z7/r7M6X0TqRWfgaSiGkxrRmbjXgqXDjs234aFd/4OVyy6Gqk6N4lAUKMczu+9FS+thjNrTsdOdejmcxlTDNaA3wWa6abxmK6T0OHqDx7Gl7g4MHMrdzkXCNNLaK0lotF+JOvsl2Bf9IQa1E/T3DauvPO+6WF7UhHXSW6nHUov5CEbNdiiwUeM6IndTHY1sNCQwGD+FY6MPYpn3CjiVZeiPn0RL6BnYPEVwJ6vhTJUJtfsliES0LPLInTKf8jIfzFZcbDIL3vMRN27hyi0Q5C8kxmZU6UEv9uDjn/gVvv3/7oWqzG/Tse/AYbzzA3+Rkxbwl+LPPvDPCPjZKserS25CX/QY9vX9Ctf2X4TirFi8hEce/zUefvyXzO+29r5CP4Sda9+CqpJVeObgDzEYTA/+CI24Hm5U4Sh+CneiBsURtrsi2Q9XGtuEjsDD9PeY2odR50kohgv+5HI49GKxcleAkPdGvAy64ntR59ph6buHu9PupDub3rNgMe7JHnGvx49/+tcPIvH5+Hh6JMLW55gODXEElRYqBFUVvoy2EYKlR2lxDaormnHo+NPYsv6GKX9fu+pi3PPH72SpY+sYchxCUXIV3PrUBRMS0zk5LkY4M2yKE83ll6N79AhsaBxPJyrgo45TqIhcnP4dCUSNQdTbL0N38hUUqbMLrzUZcg6bRPbau1CJregyX0ASY7oqEjCqnKFx1L1GLVUV77A9CW+sDHWei1Hj3kK/X+pcAY24p7c+i7CjA8Puw3ClKqhRbbe4Oi/gv6e8R7h2FyQLbkgLBHMN1YIpgDazUPCadVSNelA+PC5AMhtDmoTaURU7IrFc5ezJ9Pb1jxvRF23dhLLSEpw+M4hTZw7ii1/9c/zdx/8LPl8Rs6PcXvUuvNzzY3z7fz+LW295O+pqVlAxm/sf/ilOnNyP2sq1CEeG6J6+63f+CYaCnXjihf/FqrorUFm8gorOZDrcjU234Kn938UGvJu6ddsRoGIyhKLI2mnvgRjTxOgie2sHXYdQEl+XHkQ6D9J/QVSxMaZuTQaQuhdFiTWwGxNihILzZ67HTqXxjRh0pidcap3bZzw4y7iyLuRgzuXyoKSkEpfvvAV/fOhHCIWC+MK/fBlXXXWtpfOQEnvWtgseoxp1wRvyfiV6Fjp/AgtcvOk1uPeRr2PNikvhnCQQRdre19zwLqxasRU/+MY3ELS1IqEM0zBULENagQuGpKHL/hx6DzyLRDKMS9e+nbbXrT17UOyrRYm6IkfwLZocxsm+Xdhc9wYMY2KCKGRvhydVTdvUmDmEw7HHqGhXveMyVNo24WT8QVTr76F90kyIpYbx1Ku/QTIVQ1KLwusqgcdZgjWN19C/a2Yc7eZT9GeipUFWqKPoR0qKoMv2PJoTt2NAPQSXWYp1xbdNOb8q2+FJ1tKPLiUQtfdgxHUChpyEK1FJXdRJ9AixfWJ2zEbwTLD4iMVidCXa7XbjwQcfRCqVotuK165di5tvntAPsUJ+94DnAWloycdm4ylMs4UHiHAEi/7+M5auz1MQ3Hxl7l6iDAefe5GZ3tFxkJnucvkt3ZfXy96nefSFfcx0u91t+d54104k2CseTWs3MNP72tmqvtWrcpWZM9hcucVYcsRgaipaXp5YTczG7mIrx7pS7GcaDqdDy0xGVR2WVCV5ypvGpFA5s4WnzJ3OkzXFnYwabwYbiuFwlOKSGy5BVc3UsuSxs8vEgQfSxndcGkKb7dHx9BOdT+Hma943/vvJllfw6NO5ysBEHZUaHkngup1F2LCiDb9/5Ov41698CK+55oOor1mL0qaicfcccmznQDdAQoZKEh5/6rcYzVKm3lx3B0ody8kohzJ0OoSjfbvpzzdc/+Ypea9BGfw1H8Cm9VeMG0Av7jXR9cRuNG9gq47XbpkYHD77Sjti8SAu3XI3Bg+llWZN8wokDLLiQoZDEoa6iLiThIjSgz7Py/DoVShJrYMKJ7ee8QYEsVjQUnnktY3dp88y0+0d7hmVlXOl89SzeW3UyEgPM93pzFVDZkFDIZ3jufHafJZqugw3ykd3oMe1G+HgCIqTa8cHti89cZSbj5uueyfCkRE0jCkjZzizp3NGbVqGmo1sJeOSMl/O79FYCC/vfwjX27blpH/8L79I7+vqGzYj4A9geXPuvkz7pPCJrEgBEbUTkqLCH11hecKS96w1EmbBQhsbCrHb5KZNU3UcVF8YI2fZZbqiZmI/7WRSMXabOcxR1eaVL1677wnkvrMMtRsuYqafevm4pXrDq/e8vr2oll2f9CQ7/8/8+OXxn11yPX7z62+izrgSTVsm7zeswrGebly640147MB/Ym3tdSj1NVIjlBDqyXXHdideB9PUYZO86MEh7Dl6D5JGFFWujTgysAt66jEohhulyfVQDRcGHQdJB4XRYymUltVOnMiIYNg4A5vbRCjeDVeiCjGlH8lhHTajEkn3IZw5fhjF9mUzevevxH9M//UqlXCgCCOhHgyHujE6NITy8HbaDtRJ12HAvg+yYUdU7aP14/LaP8eZkWfQIj0Av70a68tuxdab2HojboYqfyQxhNaOfRjUjqW9ndQVdDLBIfu5ZZRXFnljGV7kEKvwyhyv3qevzYs0w45OweNckTG01IUVdpwVZCyTT+7Uc+T6nE+QONJ33nknPvShD2HDhg1Ys2YNVaEfGBjAV7/6VfzZn/2Z5XMuWkNaIBDMDZoUx6CLTLhIeOc7+aGopkMxnSjR18JvNCImDeJ028v49o/+kv6tsW492s6mDe7youVw2NzYtvr1U1bvKsoaccnW2/Hiq/fhwae+S9OqS9ege/DYlOutrboRZf46GEkXXbGwKx7YVRf0ZG6HHnDWwqny93xv3pAbMsHlnLm64/YNd8CmOuhAYRBjMZslCU5l4noqwuP7A0nYl2H1BDqcj6M6cSkUnJ+SpGB+UGBHVewy9LpewJD9MEqS68+5SlRSVEM/F4oz7Qdw8OjTiEY/CLfbO2XQunVrroFtZTV6xHGSrswLBBkqjC3ok/ehTXkM1am3wmmbOkmQbs9N1JdtntboKXKkw18ZuolK13ookh217q1QZQdKHMvQ2XWcTuaE1DZE1V4aH7oxfOuUPcV+qQ5BnMVp/WGswmV0lddmejBoP4yyxGaqYWGT+ZPPk6lQNsFvr4JhavR7iuTAYOok+pKH4ZX74DYq4TD9KE1tRK/9ZbqyTjgx/DgSWhBbK+6meh5W8ThKUGO/GNW2ixA1BjConcSx+L1wSsWoN6+kKuGzgbiZE3d7scKdP0imTj/5Qj7lZa545ZVX8LWvfY3+/Jvf/IZqcr366qv47W9/S/W6hCEtEAjmFNLZdnueRSC5HL5k05R9xzPFRlby9E30ZyK+cttb34ShkW60nz2CvQcfoenXXPZWFKvTK4NvXnst/QwMd+J3D/4HNaKX1+yATXFgJNyNLStvg9sZQHhoFJKsUVEoIvDEo8bP9orgsXHdZVjRtAkv3ZNWoJ0OxzReHSxk2FCqrafhUrodu1GmbxWK33kKEROqil2KHtcLGLQfRFkyXbbzhaee/wX99+TpQ9i8ceecnTdi64RqukS5FORAjLFKYyuGJA9ePPNTbGu8Ez5nbqzvWGKUGtjnWjnMxqOWwpO14u61VcCnxagRHFG7UJrYyHQRJ9gkN5rU67Av9X0ohg26HKcTYP2OVxGytcOtVeNE+EFs9N89I4O6zrYTqi03716lAlX2jRiNTmxXshke6k5emlqHmvpmdIUPIJjsxmiyCw7VRycEZgOZiPAo5fRTb+5En3YIJ5N/QCOuhUeauUAv3aftfgympMGr1dNJBYFgqRCNRuHzpSf6HnnkEbo6TTwydu7ciba2tlmdU6xICwQCLulZfgOeVN2czlw77C5UVyynn6JABYr8FagsX4buFrbr2WRKi2pw0cabUe5eB5fjwu0rJoMZt5vtkjlXuI0KVCV3UiON7pvW/VTMSTbtYvXAKvO4JZnsDa6K7cRZ95NIpsbEhfKEW659Px568ns4eergnBrSQftplBTaarTQy7hglJirUFNdjz2tv8amultR6p1wm44mR+B2zI1wViC1gn7OBXGrJ32YDDv1rCJ9GGlLQ7ZWqIYH5Y6JrRmzhbhYK4jmeKxUJ9N1zueowmpHFWp8m9ER3IPW0efhs1dBPrYTTQ0b4XHPLgIGmYwg+7xtqSK0mk+gDpciIE11Uc/2JNEyXlF0FVqGYrqoa/xSoSCclIXY2LyzYsUK/P73v8cb3vAGPPzww/jYxz5G0/v6+uD3z24sKQxpweLDFCOnuYJ0uCSGLtlb5tWy9p/NIaubd1jPlyThoo23oP/syKIsBy6jFOXRizHqOIGQvYW6JRqSjvLoNiiZTd6CczLf282IMU3qBVmpzScMQ0N5aT1OnGJrbMyGlByGKRlUvbyQMAu4HShEKvwrYVc92Nf+e6yquhpVgTXQ9ARCsT64HVNFIucTA3rakDbsVMWbGJSBVDP1qnBrFagtW3NB8uGzV2Jd2a3QDQ0jiXb0DrThxVcfgN9XihXLtmLL+mtnJUTok2pQic0ImZ1TDGlyryZ0+hlFKzrxPGql6zBqP0nbLVKffakmLBXkQlAdJB1WXu2RzqO8zBHEffttb3sbNaCvv/56XHrppeOr01u3bp3VOYUhLVh80IGTGDzNFUR9OqEOzZshPT9IBW1IExxGESpiE5MMRO2237UX5bHLxMr0DDGsaezNCo9Wiz7nSwhFB+BzW98DOR/ouo7y0jp0dB1BMDgMv//8jd+o2gNXqrLwyp5RYPldBBS5a7C96a149uT/4ODZ+8fTG8q2YTTaA6+zFIrMFh2cS0wY1JW5R9lDfyZGpWo6EUhNFkS7MCiyilLXcmy64iYqwNXVewa/f+gbUGQFm9ZdPatz2uFDD15BwgihSGpCAMvoNqEWPIgIeunPGfqcL1MjWjZtsOuBQlmnnRNU2/yXN0H+86Y3vQlXXHEFuru7sXnzxLYGYlSTVerZsGgNaY0o3sp8ZVqHw2tJYZN3nkiEvSJWXc3e6znczlbWLSubiH+YTVfXUUtqpjwFRB485VueAvd0z4Knsuhysd2XQv1sd0ieWrGssAdEkwWkJNJh6oCPE284GZsIkTETeM+aX7asqRtbfWc8eKrN51JhP+d51T46+CADkm994l7mMR/+99cz0z1+9rt/7LvPsI/3so/33cbO/6ot9cz0jtZO6symSLnf6z0xBCu0nWIrRju87JApK9enhXIm856PXsdM/9X/Pse99ku/PJDzuw+lGMZhqB6yz3yqC1IkMsw8TzjMLhd+fwUnvdSi4qu18stTlA0G+y2dP5mMTX+8ZIKI0cry9IbU+dY/sh+SuI0+tudbaAi+lmloXv72y5nf9Zazy3XLbvYK92gnu83c/Prc/iaZ0NDd24pEIoF9L7XAYc8tx6qdfc8jg7kKyhk8nmIMyVF4zEp41OJztjk8lV6eqi8vCgUv2kAsNqHGn033iamK2q4ynatsHRrme7Tw8pqjDJ1FKpm0dA+Dvd3M9GgwYqm/KW9mT5JEhtj9XHdrCzO98yB7OOgOsMsor7059vzEu6mSL8eI8wTcqSos31mJA0efQ1IexNBwL1wuL0qLq3Hz66/Ee97zXqiqmtNGHDnWheLiqX34/37hQeZ16bV3TVU2b8YdQHgY8tBKJM3cZzLYZS0iQCzMfpeaxi4rvafZ53+8ZaKtK5ZX4dXdL6L/OTve9YXbmcdfcjXb8P/F/5D+YwN0/UZ0dB/DmbZXcar7d6j3bsdmzx1oHXkBA9GTqPCsRSw1gmCsGxpSqMbFKMIKSN50WzUw0GapzMXjvLaXveobCFSBB68c8dplXr0kbVTBI1y7LwhVVVX0k82OHdY9Ixe9IS0QCOaGyuglGHYeQ5f3aZTFixBwXjj1YUEuXtQiqvTBoc1ub51g7iGGc1FyNTQpkjertcvqNmHf0UeRTMXx6pGHsGPT7ec9YVBubEKb/DjcZiWcWASDVsEF8aqpjO6gKtt79j+GtSt34DU3vJcaXKHwMAaHunHo0Kv49Kf/Fu95z/sQCATg8bjxxS9+Ec899yyKi8uw7aJLsOOSK7Bly/ZZ5UGGApgK5Dz1UCoxVuOM8gCCEjtc50wg8bqX1W2gk4vEfbyt82XU+bdhVel1qPVtxkD0NIp861Eeuwgq3HnTTglykcie/jxyp86nvOQzBbBpQCAQLCTEFaw0vgGlsQ043H8/Ujp7Nlow/3hRg5hCYk8LZsQF8lwMpJpoKB5Nshb7dL4gA+tbrvpT2G0utHcdpMb0+UKM50pzK7rll+Ykj4KlVQ39vhL0D57Fd37wCTr9RPYHNzVuwL//+3+guroaX/nKv+Mv//Iv8KY3vZGq6v7kZw/i7/7+31BRUY3/980v4cUXn5n99fPYg5m4ZpuSjk7lWbS2s2OFszAZN3X8zItwOrxYW37LeJrHXorGoh0oczfDBs+SNaJnswddIJgJYkVasPiQzCXaVcwvLr0CxOPtxOATWF9xK/KfPB49nUfYJbLXTzAzLpS+DNmH6Esuw6jjdN7EWPa4i7BzyxvxypEH0Hp2P7auf815C+4kMMrcVpDPFILG0GKH6Gu8+d0fRjgyih/87HP40S//CfU1q1FRVo/o/+2Hpum4++634PLLr4DXm3ar7uyOoqGhiX7WrtuIL/7rZ6gR2D/aApviRJG3uuDLAJED65Ffht30ISmFkEyee9vZdddOuKDu3PZ6bFx99biR2FS/CSdb9qLJtXJe812I8LYU5RdkS0w+xW7Op7zkL3navAgEs0eSTGpMC+aeZUU7EU0NoS8y85nzhSGtWbrYSCFMFWcFM0O6gFPF/uQyKsiVL6vShJrKVVS7guz57Btg7421wqB8BCmJvYc3X5GUxdcOFCpeTwAffv9X8Zrr34uAvwyd3ScRj8dRX1+PRx99FLfd9lr81V/9JX73u9/h6NGDGBzop8J5q1evx1ve+j489tj9ON31Ap4/+n+IxNl7ayNSD4aU49AwobVCdM1SSjhnEpL0DyPKaaQWsL6OSKcRkwbgMivovO+hIy/ip7/6Gs52np7Ip2niyScexRNPPILPf/5TOd8/cuI5/PT3/4gnnv8JwpFhrF91BVY3X4JXu3+N7tChBbij/EVLsTUM8griZZBR7s6Lj2g7Z4JYkRYIBDNGllSsLrsRR/rvR7l7JY1nKbhwhNENuzG/cawFs1+VdmuViNi6EEieO8bthUBVbCgtqkU4NozWzgOoKm8+r/P5jQb4wBb4EwhmAtkfXVneQD+Et7z3YvrvW9/6NsRiMeze/TyeeeYZnD7zB/T39WBkdBhFRSWoKK9CeXklqkpWIZYMIhTrh8c5sVe/tfcVnLY/QcNcEQbUA/DpDSjXNkNzdmIwcJKuaDsTFZBMBRF3ek+yM15Mau64cR2VuxFEAhoiSNFPFG6UowZzF489Q4+S3iZBVqSdZhk8Hj8qK+rxf7/4Cj743s+itKSKrqQ+8eQjeO7ZXfRYm82O393zEDweLxUbIwb0sdMv4OGnv4fX3/iXWLfyMiS7vHi1+5co96yCKrOFMQUCwdywaA1por5NPjyl5GiUp2Rbbuk6tY1sFxqbi/1oW44esqSSzVMb5SmB8rBq8Ggaf5aWp+Ro9XhJUiy9g7aDZ2Z0PWexCS0OlJSzFZRtSfa7KVvBVmM9/ixbOZ2nCq5wFHHBEYy2212WFOF5yvLV9fxBcl9Xu6VyxxMmajlwIp0Ht4ojR5+FW0srHz5+7z7m8dd/gC0Q8+A3n7FUb174xR5m+s63pAdhk+k7NQxJ0WEmchXgnQF2WTyxm/18EmH2LLbEUZAfHmC3K27Ofa1cxy6jhH2u9LPOMKK3Iqr14443fAw2hpL8iSfZyqv+KvY7iAyx97r3tHZYUrLlKTTz1FhtNicKAd598eqGhjjdJ10VvnRKHe0/xX4W225czUx3eNn10uFmD4pHutn9nLfMhR2b78CJlhdy7mf/ixMrXtkUl/mnVeMlBkUcQyiWmqd9RryywlPc5Smw887P6zuswrvudPR0s/uhqmq2srIRtxYJJFAZsNQ2JsLsZ8ojmWT37byxUlkTewyyvIQdg/nkK+zY5fd99TFm+tM/fZWRWourb7+e/kQMyWhsFKHIMMLhYTiKz6JKrsb6i5uxYvn68W8c+r/f0fBW45gSFMkGQ00gpaSFAA05hahrQhG/Xr8WPlu63ydGc7f8Agyk4NRKEJX7kZCH4deWwZdajhiCXHVuHueK1LEMZIsUyVm6fvU+6UYvUvBIq/CN//wH1OiXIiXFsOKyOlyx/S48+/Kvcd2l78K9P0k/s+NPp9t8t7katkQn/vCH72F10c1I9MrwGtU42H4/3YNdLW2n7t9rbmDHjbZxXMEP3HfMUoQF3v3yytx0bQJvnMOL6rI40NPK3XlDPuUlf1m0hrRAIJg//MkmBO2t44a0YH5JmmG0p57BCvstTCNawOZCaiVkBvGymV/vx+8tw8Ubb2P+jbiNHjr+NNas2DmjcuVBFTrxPAoKIZhR0JBJHK+nmH5QAdQ2TAhpZfOOuz+B//63b1KlcBfKIEFBn7SP7kEultwojm6AM1UKXUpSw1Ux7fCNhQAckc6gV3oFZeY6OM0SdCsv07/Xxa+Fw5y/CAkkjyyKzOXQjQTNB1mtPtMxiN7+M7jhivegvmbt1PNIEpoD1+Dg4O9wNrwXAaxFlXQxhnESveY+2OFFwGSHWF0qFIKTslDtLkyEIS1YfBRCi1nguLRKDDmPICkHaRxdwfxBZuZbU0+iUt0Mt2zNY2apcyG3eJG962QlK2LvhC+ZdlvNd4LhATy35x60dR7Brdd96JzHO1FCXV3JJ+MOm/cYwpJeCjjsTpSa68Z/J/uhdSSQQBCKVo5h92H4Y83wJnO3JpCV6F5pL2qMSzEin8awdBIlyXVw61ULqnBdaq5FqZ42mi+/6iI66TWd8rQsKVhbfCv2DfwShmmjoRIrsAWq5MFZ8xkM4jhWppqokv9S5HyFFgUCHqJkCRYdxBtQhL+bX8gAw5dsRMjeiryExAzN07ihVunR99EQZBVKfqhBFxKGtR0w540v2YSQvaVghO687mKoqh3B0CAGhs7OqN6XYT3O4AGE0YVC4EKXAUF+QFada83LsNy4lZYBQ0pBU2JMcTIDGrrk5+E2K9Bs3AaPXp13YaJmEr7JrripMT1gHsUJ8/c4ZP4Y/eYBuvJNFPfv3fVvaO1ib8Na7Kg29naZvIK4defbR3BOxIq0QCCYFd5kA7q8T6JIYu+VE5w/YaMHA9pRrHG8QcTBLAAcehEU04GY2keFx/IdEm+6JFBF9623dR7GqtUTe055lGMD3SvdikdRLV0Nm1kgK9OCJYkDftjiTTBHq2ndnIzPrIPd9FNvC5njar2QECP/8ed+RONDX37xG895vM9egZXy69LfNXW64h5BL7rNPVjVtAMNVWJCNm/JN+M1n/KSx4gVaYFAMOuYxm6tGiEbW+RKcH5oZoK6dDfaroJNEsZKoeDUypFU2EKB+UhFWSPcLj9azx6ytB/ciWIRik1QMLCMaJoOB50YOl8jmoS+a/Pfj37XXujS3AliRaU+hCMjaOk4QBW6rUDcvR2SHyXSSqyX34r1zddxxRIFAsHsWLQr0kSNWJFtXEVknnJsKDRg6Tr93QlLipwuV8CSOimPRCJs6ZUWFVVZUkAcHe3hXts/JtAxmViMrfarqrY5UVKtXc0Wy4gOxXOv507BSMlcldONN7FD0/ScGWSmb38TW/W4qnYi9EY2z//yADNd5Yj5hEKDllQreWWrcUc1ePTfe263zZkwuRMuTq1Gl+tpPPPb5+CSp6qY/+SeqcIohKaVb2KmP/CTF5nphs52lT39PPu+ErEoZJsBLZJbvnfevYF5fDjILnO9J9nvRlbYc5D1TexVyNEgW/378Z+x1cjJfri2xC740QhXqgqp1ISy6bZLVzG/4y/yMNP3cpRXN97MVnmv6WXvwx7tZLc5wZ7plWlnquZttQ3kMa5EL5Fzpj/T5YeH1eMz19WVGJx6WY4ifvWaMkvn2nY5W8175QZ2O3701Qkl4mxUG/seyqomQqgNRFeite0kuvuDSMTY5dRmz1ULlw0FNsMFRVbPOxoA2cu6/PJ6OO1Tw7odf/qkJXXgWGyqar6cIO2HYrnM+XxstWremCIRz+2HJiueT8bjZY8FBjv7YIXGLcuY6akY26fd4fBaihKRCLP7lYaLeEKT7BXPM/vZ7VCyg9323v/NtjkZTxAcHhWKMrPyMl254PW9DqcHdtgQN3sRsp1F1NaDEnMV7H4bVpReCc1IwG0rRiw1QpXE206egMuc2ib4SqbqjSRTfdANH2oDddi9+yGsq71h/G/dp89aGte9ch+7P/vkDz5gKWrFC7+1tq0jHGZfd7oINLzxEq/+nWvsPhPX+IVGiI0VJovWkBYsYUh7mf9t5qKACCyVJNfjjPoE1jrfQGfABedPV/AQkgihDleJx3keXOixEzEKE/II/Cl2mJl8g0zYPPHUH7Ft66VYt3brjL/nkcrRZvajBOZ57SUlbqunlT/g2Csx3L7z7zEfSLLoDJY686UzRbQQInI3zmAvVQpXiDlteuFFDYjcV1IbwvNt/0uNZ7vqQSSZNvYkm4Ka1OXwmNNv/yCT6YOpkygPNKK+dAueOfY/WFF5Geyq8FCyCgmjlvcI1+6CRBjSgkWHJJvCkL6AeLRaaNIIulJ7UGe/BHmBRGI9F4bgUzbH+x6HZqQwGDmDZbglL/fsFRKcBdN5G1T3O16FzfTAbsxfyJw5xzQRi0VRVjbzUHbEHZYIGGlSlN7vbIlI3VQUymnzoaP/IOrLN85LGRA7/ZY289UOBJUz6Lfvp27jASyDCgcV43OiiApEllYFYJgalR4cirYgmhpB5+g+KohqSMlzRhgZ1ToworVhlecyOFQ3aorWom1gL1ZWXTk/N7SI0VLs1XWB4HwRe6QFAsF5QVakGh1XYlA7ibDO3xIgODcdI6+iJ3gYG6pvAxmaCQoDYkQPOg7QwXFF/KK8U/ydzt1xy+adiMejOHZs5mq+MQzSO1RM9hapmUIMELKCd9n6d+JoxxMYjfSe1/kEggtZ56NKP/xaE5pxK0qwEn40wI0yakQTyPZCm+KCXXGhyrcO5Z6VCDhr4dcb4DNyw3Cx8KnVUCQHvM70dpu60s3oHT0x7/cmWMB4jWRLX958Cm8xYiEQhrRAIDhvVMmJCnU9BjTRyZ8PxAXw2hV/hRJ3YcQhFqSJKj3Upbsivp2u1BYSmzdfgmBwBL19XYjFIzP6DllxI3rAs50wIC7dHfLTGJKP01U8r7MENSVrMRDM03B6giVpKFNjWSXhsVJT/tZlfwYJaRRF2krYwd53Ppn+yAnEtFH4jJm178StO6DU09VogsdRgmhylG7JECxCFjrUlQh/NSuEIS0QCOaEhBmEQ5rZgEIwFcM06ABNvpD+yIudC7QwHFG76L7ozEpUIbFm9SZ0dbfD4/GhvfPojL4jSyqcUhGdPJgNxDAJy2dhgwc1xqU0rdhXh+HQ3IgiCgTnAynX7f4H6KffvRed3icRVSe8JcJKJ22rGxM3wW7OvM+LJIdQ498Ip8kWKp1MUOtCkW1CZDW9wu1Ez+hxdA4fLph49fmAeFKC+aLwev0ZsurytXDYXDj9whlLyrFzpezKUyLkwVOilDgqGZqWsJSfkZEeS8rQPMVEQjTKfnZlZY2WFBsHBtiqnG73VOVKQtvhU5gJzjigxYkQFruDMzkK0MEe9mpMoJZ9nrf9+TXM9BXratnnKWULhARK2Olfev8vYIUb7ryI+7fJyuYZjj13BHPBYG83nFINul3PQRoJjMeWfWjfzczjD/7nFmZ61ZW/ZqaffI797nvOsstiaVUFFRdJxnLLd6CY/S5vfANbaOn+X7zETPcH2PtCgyPsMnTmSN85VVFTRhyKZB9Pc/nZddAbYLvTFpdOVT0mLOOoua9cx3YtLL6afW+H9rBXCz0+torqUz/Zy0yvK2fXj56jA5baOp5667gSr2RCVQw4HMq0SrbniwGdxo3etvJ26sbJYtulK5npiTi7n3jpSXa9XL6WHTGhYSVbFXwfp/9T1dx+5a1v+gs8+uRvMBpkvwN3ydT7KgrVIRobgF0LzFgN+aPfeS9VRP7Pb38G/uFifPJv/h4ulwf3fOtp2LQSDI525LTDvPPoeu4K4XT9paHL3D7I5WL3NdOJEzmd7DZk+RV1zPRjT7CVx6UUu68uKmerhSfC7Hv2MN4NYbBlZE6iQXSdYdf7vvZOS4rtvPNrGvu+eJRW8ffyD/bwthbJkBmic6w8BeV29NjS0SNKHMvR4N1Jn9nRkT+gsqoKJZ4GnOk/DXvchsqVJXSVeOUOdluafc2+gXbEewZww2v/DKde7mYef9df5o4p7v3DCB0bfujDrx9Pi/zrHvT3nYKmaRh0aKgyLqY6A9nw2jpehJAffu5BZvpQF7s9sNvZY5YNV21jpg+3s+sxwV/Frk8n9xy1FNVlw5X88Q9Bni/FuTlEgkE/+UI+5SWfWbSGtGDpQmPIi+nHCw7Z61iUXIMe1/Ooil02bkwv3FajwtinmkE3ElCl3DBDgvPD1Oe/DMSVftj1Iq4RXQisXb2NfjrbZh7+kUz66PKQpevouo4f/N+/o7XtOD7zyf9HjegMTtVHm+24FqI/zxWGJjqDpY45w3WNpBTEgHoA5c7VKLY3otw1EYauyrURh7r+SFeFdSMFVXZgONpBDemZcODoLjTUruNONLCoqW7E/v0v5KR9+u/+mf4bj8fxjte9FQPyIZQbm2Z8zqWKarMeNu2CI1S7C5L8n6IRCAQFg19rRCC5kq5Mh9WOOYsNvBTQzAQdnAkKi4jaDY/Gj+G+GEnoYfTEDsCXWD6j44kLakoK42/+7m4cPPwirrz8tajI8kyIJAdxqO8PVJQplBCCY4ILTxJhtNofhibF6ApvthFNaI+kDdqt9W+CXXGjrngLaotmbsBu33wLegda8cRzP4NuzMyyb2k9jspKtqeD0+lEsbkKCYzOOA8CgWDuEYa0QCCYc2OaKBeH1A586asfw74DzxdGDMcFRjOSUGSxIl1oRJVeuPWZh45aDLSEnkG1e/O0XidEUCyidGPAsR9n3Y/hrOcJOrH22pvfhttueUfOsZHUIAaipxBLjSLgrLkAdyAQTEzy6EgiKqcncHx6Peq9O6Y8ni2lb8O2hjejyFWLq1d9GCsrrqKq9zMl4C/HG2/9a7rt7+XWn6I3eILqYvBIJON48cUnccUVN3GPIcKGJPeCRcKCq3QzPoJzIly7BQLBnOM0SlAdvwyvfcPFePDhn+ORx3+D1978Vqxfe7GlwcdSIu3aLVak55QL4dUrmZDNwu1K05Nc5oz0QQxTR0/0IKLaIFYFbkIX2DoXhAHHPuhSkq7WB5IraKir13/ycjQ3rZtyrMdWCqfqx9qy19LVPoFgLuGJXA8rJ2DCwIByaLyxIMapU5m6d96jlsLtOb9wbzbVjhuufCeefewJdAy9ghO9T6C2eDNd2XaoudoUe/Y8gxUr1qO4iK1/QJBNBZoco/cweZ+0IJeCGHcI1+6CpHB7f4GARwG0l0uFlc0bsOLPvoBjJ/bhwUcmDGoysJnPfk0qwHKgmUnh2j3XyPNvSUumTAeyhcofHvwRnn7ufmzasBM3XP4e5jG6mUJv7Ag6I6/AayvHmqLXQpb4hreOBGLqAOojN+QombOMaALxxEjqUfgdc7+yXwAaQ4J5hlUGQmobhpVj0KW0MJdqumE3fAjoy+c3L5KECt9K+gknBnF2+FXsPvMDlHma8Lr4Djid6YmkXU8/gDfc8e5pz+VEKVTThbPys6g3rprXfBc6witOMF8sWkM6MZqAaZNRUsOezes8zVYRjMfDlhRiefD2htps7BnNRCI6Z6raVs7Dz6fNcoPEUwbnwVM/5al48pTNJx9PFlaIzlQ8xn6XvS2GpXdgc7H3KJ06xL7fU0fZaqbbr1zFTF+V+iMz/Yq7NzPTl69mDzZrlvFDarS9ctaS+q0VQZTp+Oqf/s/4zyZWUHXj77V+Deu23Ym//fQX4PXmigqt7Ps68zydR5uZ6bFRthuoIwBIigYzObN6e+IAW0X14MOnmemVq9kCMw1rK5np/T1sBd1w/0SZi+ghGJDH0/p62Wq53/rw75jpt3wkHUZoMr3H2YJQh90tzPTTz7PLir+KreZdvpxd7i57M3v/YOtR9rM+s5etblzVxFbE7ThxanolZsmEok4oOfPaOquRGhhngCkZaNnPjypQ3fg6ZvozD5GVsKm0vcR+Rkd2st8NS5GY0H6Cvd84EpxQvl277AakYip2v3IvevelUGSsGP8bcXkdkU9hWD4Bp16G8tRFsBsBjAyGMIIQeCTc/fCbDfC4cuvJ479lK7kf7nwIldJmBLvCM1J65sF6x7IqweNhl9Gtt/P3uLZy3oGssJ91H6eeeQI+bqQDFv5KdvQLbzl7pT7Yw+7nIpxIDaVlbNX8Ck6bduKFY8x0njI0L93qmIh3fE8H3wuC129NjiiYkqIYchzFCtyKE+Y9dNLVj3rUSJcANn5bN9LJLvMnX+qwFC3D4U3n0yUVYWXJtWgquhynB5/Bl770GezcejuisRCGh4YR7nNhT/8JmAZb9V9PpVCJS9Di/CMSqRBkkvlpxns8lfrR3lFL0W145+/Y38VM/5c//Cl4PPPgYWZ66352xIHy6rpzKoOTib+u1B4UK03jaVpqIkJGviKZBv3kC/mUl3xGzNUKBIILggQJbq0SVeHLsWLlGnz27/8KoRA/LMZSI2YOQsX5uQ4KLjxpl8rCHXCQFbLN667FqqaL0avuhY705NqgfBQttgeoSFh17HJUJNJG9ExIIgQnZqZmTNDMGALyslnfg0BgBcUkBqdJ45jX4yo4zACqcPGCPURVtmNV2XUoDlRh14u/wLMv/xpbN9w4I3dk0q+SiBlJiT+xtZSI6P04EvsNEkYQpxKPIBJhTzTlJXRfsp5Hn8Lt1y4ki3ZFWiAQ5Cek43/Xuz+En6kq/v4zf4kv/Ms34PPx47kuBQaNE4iaA6hT2KvKgvzFZngRU/rh09griYXCdZe/A2dPt8OEhqg0jFHlDBpTN8EGN5ImO3brdC6nMfTP+Hiy8i3jfD0DBIKZYUj6mMhYAgEso5+FhhjNl130hll9l7ikp+QwnPrMJ68WKzFjiEbASJphOkEXi8bg8bC9HwWCuUAY0gKBYEEGDW9/x5+gp7sTT+96FLfe9sYl/RaGjJPUiCaxeQWFRUlyLXqcu+HWqqGgsN9fvXYtNS/6lf0o1zZRI3o2uM1yDMpHZiT2FoqmDW475i52tEAwnZp8r/NFFCdXQbW4ZS9fsZk+JKRRUYMAlNlWI6A2IG6MwCtXoqy8nD6jgogmT7Yz5FPI0HzKSx4jDGnBooMIWRVEoylA84o16O+fr7ixhaM2RmbObRJ7X55g7tV65xK74YdHq8WI/ThKkxtRyCSkEXQrL8Ju+uE12XsRZ4IdfuiI0xU/BdPvc+4cPIJiefm8qeoK70RBph0gooB9zj105dafaiYFdVHg1avRbd9NV6VLU+uJaY2ljE1ywabkTpLIhaA6aGrpT76QT3nJY4QhLVh0kK0dwpIuDMrLK3Hy5NG5P7EpwTQLw5AmwigpRGHD4lgdyScu1DigOLkaZ91Pwqc1zHgfcT5x/MxL6O1vRYf6Cir0zfAZjXQLxmwh33WiDDEMwgt+XGjTNNE1eAS18vwpDhuamFZdqhhk04BMdDji6Hd0I64M04mvkuSG8yrf+QaZ+GpI3IhRpQWdjmfhksoRSJCQc0JzI4M6jYCuQHA+LFpDeqgtCJuSRDIZs6TCHQiwFZFHR3ssqXzz1EZ5Koi84+12tyVFS4fDbSmfPOVsXeePQOdP/XZ2TL6uLJswZKLybS0/lXVsdeCdd7FXmdpPW1tJdfvY77iv7E5muqa9wky/9FK2Ev2R42zVcUL9ZvZgtn0fW0wio3Q8mVjMmjgYT0X1u//4AP13ONyJIx3Hxn/3tX6FefyX72crIv/T3z3LTO873QtJMWBMEpCNRdgqquu2sd/99jvWMtPDIXa7smItWxH3id+x3+XIcB8G7YfgkqoQCo/M6B3wVPN7u9iqwTYXu5mPjLDv4Y6/YBs1PZzzH3+5nZnu9rDLu6GblhRltSS7vamoaZheDVkyoWpAMilNqzSLOdibS9Ryi5NrMOA4SIW5Jg/Sf/Vfuyw9i3iY/W4OvMCuBys2slePHR7bjMrvq4eeQCIRwXr3G2GXp/YJPWfZ/RaPRCIMyS4havTDpvH1D4LRPrpXdc2ODcwV6baX2N9b/1q2in/P0cEpabIrCiPG7hdXrOevuvMUmv1V7D6zfS97jBANRpjpsmxthYxXjwdb2IrLyRi7rVtxBXs/cP+pYUv9vdXIDlaP548nzl1fNSmOoO0MQrZ22AwPqpR6eFGNUm097KYPkk2aNk8d+7osKZID7D45FWOPo4a7hs+pPJ1NGyeqRPP2CYX9NKug6dfgwNGn0OPYjVKsRQU2j7dH4fDU+kEIBvssvQNFcc5ofEC0D4Ych/H1T/hhnxQnO4PDa7c09g0Nj+TV+HNOEa7dBcmiNaQFAkH+Y1Mc0PT8D0sxX8TlQUTVbtRGr1norAjOE69Wj5CtDRG1E15t9m7RC0FJoBYVpY3QTs6NKE9Y6UJCHkV5csu0x3UOHkZt6fp5c+sWLA3IqvOw/RhdbSbGW8TWBV+qnrarqumEX1cRMxaBoTUDVMWBKmxDKdbgDB6EH3VwcQz9+YZMMGpSDC+0/Bgba29DsZs9YS3IMKaWnTfkU17ylwLYNCAQCBYrimKHbixNQ1rTU+h37kNpYvN4/E/BHHMBvXrJqk9pYiOG7EeooFEhsaxuE46dfm6aVfuZo8lRDNj3ozKxfdpyPe7WXbruvK8pWJqQejZoP0zF/lxaOf1dMR2oi1yHkuR6akRTCmSbz1xChAKLsRLD4Me3vxBtYnliG21X9rb9Ei0DL9B6vyB5EZN1gnlCGNKCxYdUSDJTSxsiAKIb82R05HkhONX1PJx6Kdx6xUJnZdFyofVlHEYR3HolRuwnUEhUl6+E0+nDoHb++Q46T6MotYLG5p2OkUg3FNkGnzutqjtvSGKP9GKDbAeIKF1Ul8CUNNRGr4Vfa0JpcgOKU6unqOdL8tIsA0VYjlG0UpG1hYJMZmyovZW+s1P9z+Dl1p8iqfG3oc0XvC1ReenanU8fwTkRhrRg0SEp+W9ECTC+RzrgZusSnPdkSh4PoMm+Q7I/lLgiCuYPaQE2LxUn1iKsdiApsXUp8hGyWrNt3WvQldpLxe9mCxksx22D8Orndm2nbt1lRGF4npELYAAtmDF9jr0YdBygk1UV8YtRlth8zrBzi2H77GywwwsHAgiigwr/LRSlnmW4ovmDqC3ajNF4N3ad/BZ6gxd2slFLFYDnG3Hrzih358VHGNIzQRjSAoFgwegfPYPywPIl8QZSWlqoZih0Fk8e+G/q7ubRqhc6W4I5hgzqi5KrMOQ4VFDPtqSoBnbJSwXCZosuxak7p2pOr0BP3Du7B4+iRrh1C6yULyQQsXUipLZRI9ppFIvndw6KsQLteAKncB9avPfRZ7gQuOwBrKu+CVet/DP4HBU40Hnvgrl5CwRzyaIVG9P1FGQo6O1l7w8pLmarGEej1tRJfb5SznnY6os8lUiSXyuKmSWl1VwVYCvn4alQzmavnKJMHy90ptfg5ZWn6lu1Otc1VnLEYeoKgmfZ9zbUy35GsSD7+PZjbHXuklp2fu58z2XM9Oah/2WmP/bS7cz03k62SrL95E+Y6aXl7wCP9n1nmemKolpSebcK910G0mVlINyCtSuugGtM4fnDb1vDPL5zhD0w33LpSmb6Y639VLVbVnLnCns62fU7NMxWSV6/ja1w++uvP8nO5+EJI8QwdbQOvgQJMkb6BjEgHUa5uQkhnEURmlEWW4u4zH/OXi9bAXx4uJOZvv9e9rJL2YpiSyq92/6BrYbt87GVks9cyX4HhsEeJP3Xp+5jptvs7FWl0ia2i3D3wf7pIxFIJuw2HU5nuox7Aj7m8T1nW9j5sc0+dIxPW4YhxxHqUkne/7779zGP8wfYIkBcNWGOMvSWy9jv4PrXbWWm/+qbTzHTU8kURkIDiOu5bXNpKVskKBjMfQfqWMxof7Wfqf6dUZgOJrsgGw4kuhUkMIpr3r7NkmI7T/E6EZ666qQqGiI97Hr2uy8/Cqu4vGxBtsrVJcz05ivYq/OH7z/NTE/F2GOB+g3stuiy121ipjtd7PrU0cLuz04/12Eposh0kT2snIfXr7PGRGRl1WNWo8RYDZ9z6hjO6WErPcvKKFTVZiGKitPSOK2vnd0m8yIv8MY+RO2exeY1q5jpA21sxXbVNtEXlJjNCOptVK9gxDwDV4kbHjl3O8XoEHtMxIM3buS9y77juWOZ5XgdTMlA/4lhDA93zYlafHl1YQk8Msk3d+p8ykses2gNaYFAkN+Eo0N0RtrrZk9GFTIpPYEDZ38PRbbD6yiDgRSqzIthQocfDSgCe1AsmGMWaItHelXWSRVrbSY77Et+YkAy5fO6b5degZFUGyocfLftgfhJlDnZxv9cI3b5LB6i6IPHrIIPFo2mJVwIFMmGZvVm+vMZXUfSDMGDedYlmAG8SYb5oiDWvoUhXZAIQ1ogECwI0fgovO6S+VPTvMBKrQkthM6RA0hoYYzGulDuXYGVFVfT++sesBZzXDBHLOD2WMVwFZwhTVaJyAr6+eDWKjE8jSFNVuMGEqexqeRNuBCYS1CxebESQR8qTbb3wrSIbfKUEmUVOlLPImR0olq9GDZp+i0Yi03YVCCYD0TJEiw+yMBJDJ7yHqfDizjHlW1OuEBlgIbxCR7Ey2d/mg6B5FmG9dWvwarKa0TIjSXsmaaabmgye8tAvkG2IbT0vQhNikIxpxduOhdkRTqkdcMgYjUMRlNdcCo+OJULJLRnCEN6MUBCWyUwAidKrH9XF2WAUKw0YZ3jzZCg4Ezy4TkJd1coqDZbgYiN5dlnnviXf/kXXHbZZXC73SgqKprRd97znvfQMVX255ZbbsFCI1akBQLBguBy+BBPFo6yMc+IPtz3AF2N3lrzZvi9C+8yJ8gP1LEV6XxnONKJw2cfgtPuR3XkCiiZ2LuzRIYKr1KB0dRZFNuXTakv/bHjKHNcGLduwWKCTFMq0BGHjMLx8sg3VMmBOvVStKQeQ6f2EupsOxc6S4IMJBTofIUDnQ3zmJdkMom77roLl156Kb73ve/N+HvEcP7BD34w/rvDYU2baT4QhrRAIFiYxkdxUPEWw9Agy4XVFBmmQVehY6kRpPQottbcBZnGXRMI0hDl6oRiTbzyQpLUYjjRvQsDoTNYW3sDKvwrcfTs3CiNlzvW4kz0SVTpG+FVqxHR++gqdVjrgV3xoNErBu8CaxDx2GI0Y0g6Pjv3bsE4ZCWvwXYVjiV/B59ORNvOb/JMILDKP/7jP9J/f/jDH1r6HjGcq6rmIWTqeVBYo1cLxOIhaHIS9fUbLX1PVtguQNFIaEaqpRnsdvbek2QyZilYvDYWMmem6tw8ZE4gRYeDrXLJU7MkeDxsFWB/CdvlKjjEVp+Ox2OWlDF5KqHHXjyQ87sjIEFPmEhE2Mf7/exVQ5efPbPVzlHKPfQYe9DZvJqtttx83eXM9KHD7FXZ8AD7+Zzxv42Z3tfOVvCcTmk2Fg5bVJfX5qTcnd3XC81IAKaMs/v7xo3Qfx36K+bx8T/+mpnec4JdD3QpAsUOJEO59dldwh4wPPrbvcz0cH+Umd55rAMn7Y/Tn5uTd6B7NF1G6jfUW1I55aUTZI6iN09Rdmiwm5keCrLrXyzGjizw7q3/wEyvqmtipq+7iR2+7P0fu46Zvu2W1cz0p/+PrWzdvrfTUlkcV3uVTNquZn7nqXP7/bmq/xmCwb7zUvMmhnRE6py2fee9G7ud3S5XNbCF+Xb9+lVmemRoahtCVoX7IsfQkXgBpbaVWOe8C8qQDUNDoxOK55MYGWG3gSwlZII8FEA9rsWQdgyD0hk4jVK4zVpUyBdD1ZyI9CYRQfKcCu/ecvZzeOV3h2fcv7rKDAS72X1K4wa2Ej3hzP5j1tSE7ex+pWU3u/xWrWO/S4eX7Vrf1zpsScE8W7k5m952XnswaqmN4rXtPPht4MzDrQ14D1PhsCpsoyrUk3F42eUxltSg61PLGM+12WrUCt47sNpf8nj+py8z09ddt5aZXr2RXRYzqvkEG1SstN+EE+EH0Wi/CTa4ZywIZvX52Fx8U8MWdli6RmUdu491l0y/33vetFjmknl2p7bMWF6CweAUY3ahVoKfeuopVFRUoLi4GNdddx2+8IUvoLR0YQVrxR5pwaKjENpLATCSakfAVjs/K7nS/JYDAzp1gV2WumU85I8g/1jItoC6dufhHum4MYoz8SegSHY0OC+lqr7zgQ0eVGoXoT51Lcr1TfAaNVAXYOVLkgtCr1dwDkJq+/jPXXjR0vMSOlNsvGolSuzNGJXOLPryx5vMFJyb+vp6BAKB8c+//du/Lchju+WWW/DjH/8Yjz/+OL70pS9h165deM1rXgNdX9jJh0W7Ii1YuhC7THSc+c9wsmXKHsq5NKAkhQyg58eSIqJMxNXQbl4gwSTBrFjIHQNEbIxMuCTkYTgMthfPQuBSiuCWy5aMYq/FhVNBnmJIE6u7XkyNIT0d6b5AwMI0dajwLfqHo6WmxpjPO4ixn0+xm8cmHzo6OuD3T4x1eKvRn/rUp6iBOx1Hjx7FmjVrZpWdt7zlLeM/b9y4EZs2bUJzczNdpb7++uuxUAhDWiAQLIhK8EiyA8s8V877tUwYiMrp8FPDYQ/sqht21QVVcc7a3cthFkE27YhJ/XCbbNdgwdKGhJEqTazHgOMAamJXUamkfEGVnKh0bFrobAgEM8afakJU6UZAbUQR2NtJBNZJGCEEkF97TpfypAb55AuZvBAjOtuQ5vHxj3+cKmtPx/Llc1d3ybnKyspw6tSpBTWkZ+Xa/Z3vfIfOBGQeLlFde/DBB8f/Ho/H8eEPf5j6rXu9XrzxjW9Eb29uHNX77rsPq1atwurVq/HHP/4x52/33HMPdu7cSV0IfD4f1q9fj49+9KOzvUeBQJBnhFI9dGXMJs/vqpiBFE67fo9ux2762X3i/7DryH/j0QNfx4OvfhHdw0dndV5iFBE3VRKSRSDg4daraTipkNqaNw+J7Asl4l8+pXKhsyIQzBgaWjC5EYM4Cj1rf73gfJHE8xTMCeXl5XS1ebqP3X5+4RWzOXv2LAYHB1FdXY2FZFYr0nV1dfjiF7+IlStXUuGSH/3oR3j961+PV199lRq9H/vYx3D//ffj17/+NTWGP/KRj+DOO+/Ec889R7+fSCSooU0kzMn33/e+9+Gmm26iD5j4vt999900xtjtt99OV4yOHDmCRx99dK7vXSAQLEK37mwGbGlBuMb4LZBMCc07VqbjD5I5REmCKs9uf6gJE3FpCE7TekxTwRIb/Cc2otv1HDzUqF54ddyoPgiH7KN7pJcE+eMIIDhP7IYffjSiD/tQjR0z/6IoA1wqnRvQnnoRPr0+r7xm5pqCcO5fQuGv2tvbMTQ0RP8le5z37UuLja5YsYIuwBKI4U32Y7/hDW9AOBymSt9kYZaodp8+fRqf/OQn6fE333wzCs6Qft3rXpfzOzF6ySr1Cy+8QI1sEhPsZz/7GVVUIxCDee3atfTvZKWZGNKKomDLli3pTKgqTSOG9B/+8Adcfvnl+MQnPjF+frJyfccdd1jKo66lIMkyhoe7mH93udhuChXLKi0p4ioK+xGWlLJnSFJJ9kxqKDTITOepSlbU1zHTe9raLCmN8p6Dw8FWbyWEw+y8Dvfneh2cSwHa6y21pNrNU5BsXJOrAqy4EzBSCkJd7Get2Nmb5kqb2EHhy5ez9zd2HWY/uz272Gqvz96XmLGy7nT86OtptejJbLmUH5s1PDpsWTV6viBGaH/0FCpjO9BjduT8rWeOFu5UlwlJB4JqCxx6CWQtbTS0vXSWefzGm9nq/tGhOPv8fh1qwoHi4lyXuOIGdpnoOc7eU1TZzHepUznltP80+10ODeU+y3PBU4bmERllRy544Rd7mOknn5kQB8omFWN3zqNDbJXs4nJ2mxwPs+tNNDqmTCsBaoJ4SE2vts2LUMCLTmBVsVaBCz6tEUP2IyhPbJtR+85rAxPhlCVV3MrVU9vY4x1H4BwuQ3Q0OuO2PRCospRPHrxnfewVdr/lKWa/s+Jadlvd18poz0wTRcUVlqJ0EMoq2erA/ip2DOOeIwPsPHWx60F4gP1MN76O3Y53cKJHnNnNPr874LakCl5UxlZ67u8+a2lMwYNX1nn9Ok8V3Btehk73k3DGKmEzc8cpPLdYW4nJvD5vbCKRzsNSpID5FbLi1bPju04x02vXsfeQ2xntRIWzGZ2pl+CtAordtVyV72yCQWvvbLCXPX6eLooKr93vamMLozl6pu/P5EIQziHlN5/2SM+jm/lnP/tZugibYevWrfTfJ598Etdccw39+fjx4xgdTZdBYjMeOHCAfmdkZAQ1NTV0Afaf//mfFzyW9HnvkSYzCWTlORKJUBfvvXv3IpVK4YYbbhg/hswqNDQ0YPfu3dSQJu7g733ve+lyPFkdIvLlxIWbQGYaiBF+6NAhbNiw4XyzJ1iCmIYEmIt3ZrXQIUJdZN/y5EHQXGKaQIqE1yITIfG5jTk6kmjHycSjqLOLWLj5Tr5M7geSK+ngPyYPwmUsTKgO4v114uyzaO19BbW4GkupDIjeYPGgwI6i1CoMOg6jKn7JjL6TT7ZJvkHG4EWuWoQT/Sh2sxdoFgOqbX6iEwhmB4kffa4Y0qTPyuByufDwww8jH5n1FM3Bgwfp8juZCfjQhz5E9zWvW7cOPT09dGW5qCh3xriyspL+LcPnPvc5DAwMUP92sjyf4S/+4i+wfft2qsi2bNkyqtL2/e9/n65YCwSCwofsGTWl1Lw7W/U70rF1baa1ldfpIAJpJ4OPodlxI0pVvgeAQJANUXgvTWzAoOMAnUS60JAByd6Tv0ffyClcven9cIK9oisQFAK+VCMSypDY2ztHjMY6qTEtyJM40vn0EczfijQRCSM+7WTZ/Te/+Q3e/e5305heViD7pyfj8Xjo/mri/06W+Ik7OFGC+8///E+6ou12z2xQrDgBleFlkvHuURwTg3hJMsenrCXb2BIG/fPEPLZKPMxISJ1J58uKyJB1PnL+3AKYmViRpYlBVLZg8PhlJ9kW9HdGTFzZpk8xQ8h92CZpN2XOl+2pRM81dj7FqU8cl72Kaxjs+JumBEXLTc/kTc46Pn2+sWuMhZ7Ivm463WDaUhJxk5KmrjLT43MOHPsn8/AyyWr6ONluTHm/NN3GseEUhvuUSRSmJ7uIj31ZzTo+69mljcSs47LPP6lcsfLP+mr6wPQ/RpbQipT1/2QqNmUWb/zSWeV9/Ltk4V6dXOCmXpopbH0ex6mSCo+9CCZCsBn+ebmuYgdkhwZ3qgiKc6L8Zcri5HI68c7GLpI5t01DVBukKseq5MLZ+PNYXXodXKnydKWaXE7BcsEzoTgN5n1Iata7n3QuWo5Nacr9Zups7vmkdBuV/f2xadLsdjC7aGTq90yf85R7GDsOOqM9kEj9m7g3M6t+yNpY/ie1B8QdP7vdGD/ePvU5k2NkR25+MvcxXp2Ia7d9rO2e5n5Jn8CoMlCd7HZoSqfJ6Bcmn49c2y9VIunoRtzWBl9q2UTbNOVYst3JmOplM7m8ZDNernNzkpmwau/fB92M4rKNb6Fx2xWHwaxHNjevv8zKjzSprc7KX+75cttd7oCDOhBNbmPTXzRMmVsvJ5KknHZu8nVp3llxRsl7y27D6fkm6hstd7mnn/Yd8Mrp5HqZ6c9z6jG5rjm5fZ9Ur8g9M/oPXr0kY4TJ1x0/T9ZxmT+MHz+pXpIxBat+zKTcZx+X/adsL+vx+jjpfLS+ctt7CV57MSTEoBq28eOy24Tsek76A9q+MB7V5HEJQdfZ9VLSL3x/SY7LHlvRw8baSWVsjJM+MOuATLme5JknqaSM5p5LMxIw5CS87qJJA1oT8qRx7PjQx8kbTxrsoQ9M7v1mxmkT50vXX9mR9YWsfmG8PZ/cf9jZ/UdwdJRuJ4vFrG2hWxDyNPyVYJ4MabLqTDZ5Ey666CK8/PLL1NglQmHJZJL6sGevShPVbuK2PVNIbDDy+cAHPoDPfOYzdJ/0L3/5S+oSPhPI1hcyiJoMnWShDVBWp0z66rHGJdOZTB4YkIaYxiee3BikJjrADGSbyORBXtrdON2gTFx3osMn7RuB1qGs85Fz020nkztzm07Fk3LSZBPqJEN6/HxZ95N9vswAydTJACIrb9SQnngu2fcxeexBngtt+KRJg1NjkiE96T5UxUhfd3KHBdZ1yfknDSzo+zAnBjz0hiVISvqmxw1pObcRJ4Y0ue4UZIYPIB1Y5Q6c0itK5th1Jo6byFjmePJ+s/KskIGQxOzcpg5I0uUlN39mekCSM+iUx8+nacnx0FKTHyo1pCc/Z2XqhCP9nXHcFIPiPI5LqWHYnBKcknvcJWaur0vKuI24cqnyeDtAjptiSGfK36QBxHh7YNcxkDiE4XgH7JIfXlcJitw1SEVT9NHTTn+K4TL5bRq5hkhWeyBlTw6Nvd/x+1LJwECaUs9p28Wql9kDj/H6Qe45KydZz0+WrT3ntJHCOG6yIZ1pD7IG8un2NDNgH7vnSc+PDJCy243xx2I3pj5nMrFmm3TdsfY005am85Buu6e7X3I9g3m/7HZockhaVr8w+Xzk2uS4MmkNBtyvwh+vhgIHPf2U+yXldNIEFz1mcnmhA86xtjVzPDE8s78q6YgkhnB2cB+2rrwdMs28BpmUIYaxb3NJzPuQs551pt0dNziy8pd7vqnPj2afVX/lyQZt+mWZyJ4NnzD++f20OeW6dOKUc7/UsMi+bFZ9y5TTyeejhmhWeT5nOZ00Dsn0v9ltQqY9SN9zVv+RlWk6ec6YsKDGFGPCR8rUs6z7TZ9nYnIi+3zceuli14+ZlPvs47K7pOwuKnOOyecjz3269t5tC0BWkqDzjWPHZbcJ2eMrUt7JhOpM+w/SjE8Zl5D8mRe+vyTHZdqu8ePG2klaj8fvN/tZjpVr1lhj0kRTLNmHUl/tWNuQveJiTl0QGhs3KQ72eFIdm7Sm7zfre6R54t3vFEN6bLymZI3rsutH5tqTx8Wqjd1/EJEqsj8+Hi8AQ1pQkMxZHGkitkDcr4lRTQawRH2bqKtlNowTZTayh3o2EBdvshJN9mHPlGQIMGTODCntt9le7XoRe9N6Isg+T2YgMRkvqdUMUkn2DE+MrePDzb/uZwuGxIas5dMNm2XxjESYveNMzraks1AUzrNW2cVP19nXJmIDLNzu3HdGjjI0GVrYtCQ2hhQ7FJMisb0gzARbiEoyOCGdkuztCUbM2qyfwtlb7HZN9fAYvzRHHCSVuvC7B/sdp2EPVSKZmr89S2RmPKbGoIc8SMSlc5ZF3jtLhILoH+pCTCcVNISLyt4NI26HNlWniSJz3MiTo+yybiT4ysmSzi6nySD7XPFRdnnnVDNufeXmJ6lYqq/apHo5nh5jXzc+zE7XnJy2NKxN35YSQ1qZaLt598tr6qQku6xwqv20TFzbBdjK0CkfQkXiYm6eVJY71TTlxeR05aZux94jD6CxajvcStX4ODkVYp8/OswuQ44cg/bc/QoP3rOTdLaAlyKxxcb0KLvDTIamvjNqyEY49Y8jZkbQImyxSsPN/o7GKY+8sYNdZ5drBew2RI+GLbUHNk5EArLHmIUWNS2NKazCG8swVypn0D6lbE4ElRZUxifEqlROm6lKEhLDM9/JaBjszOqsCfgLAPdZcMYyZoJdRo2svjBDf7ALTlc5zNTU9joVZI9ZEry+htNHZPfBk3GYnLaLI6DIu7YxaSI5Q01t2mW9o8OaGOeCYJLFFs74dKHyI5gfQ/rTn/40XvOa11ABsVAoRMXBnnrqKboRnLhrv//978df//Vfo6SkhAqLkX3PxIgmQmPn4vOf/zyi0She+9rXorGxka5sf+Mb36ACZjfeeOOM80hmoHgqkYRYjN27JcJspVafr9SSwTkyzFag9XjYe9NsNoclhVie8i1P3bF2edp7YKaqpf0dfJVFp9NrScWTpw7s8NgtqQM3bmMLYXTsy1Vmtwc06AkZjjEJ/cmM9LOVafWDuiXDu/8UW4H29CsnmOny5Gnlc6hTXvyGtcz0wR522f3x398HHjx19uvez1ar3v2zg8z0gYG281aAJiE2FNi4z+N8VVGJZ8VZ72NwyA6UTBIaK61he8V07puqOE/aj+ORBxAzRujv1bZtkGJOJKaJYXr00VOW6nHDNvY7Jhz8A/tcwWCfpXfAq6+hEFtlmKduzTu+vKKBmd5x8iQznaeUm0yyVwy07pQlVe1x5ViyomK3PmFwrufJU7ZWVb5yaCo1YUG6U3UI+Z9HyDyLEqXZUjte2sSeLLvmtnQEjMl15t//+V8g6w4EUs0Y6ZxoVz0l7DKRSrH7udf8xZXM9Koadvi3XfemQ5lMpvWlDkuK1M1XsNv8JKf/07SpA3+yjh0JcqxBtuA1JZGRe59E/HTUUr3kKRnzytGxR9n1wxVwWIr4wRvj8Mo1r41yuwOW1LZ517VN3jdwjsgRvDqQGSsF9CYEbWeQUImAX9qYluiy51RcXjek6NR2zeBMBPHuYfK7JH2NjgSiqSHYDR/t2XL+zhmD8tpAq/hK2P06Dy2ZO8bRTQ390ZOoGr4E7Z3tMy4rPPVyXh2Yrm3s62thprvd7Hvz+9kK/NON9wlaqgBij5MxdF65dudRXhabId3X14d3vetd6O7upobzpk2bqBGdMXS/9rWv0UEyWZEmq9Qkxte3v/3tGZ376quvxre+9S16fuIOXlxcTGXRH3nkEbovWyAQFDaSKcPM0gqYa9o8D8ABGypjO5E6D6ebjsSLCBrp0C+Vts2osV08h7kULFVIDPOi6FqMuI+hRGMb0udLJBLEj3/2dYST/VhXfitV5hUIFls9Kk1twID9EOri18xrDGRiMKcQQVIOISkFkZQm/iX5UFQHjUbh0irg1qrh0sqmGNX5SGd0D/y2ajjj7AkxgUBwbmY1yiRxoqfD6XRSY5h8rHLttdfSj0AgWJyQAQaZx5+vAY8p6SiLXwTFbmdKf83oPKaJnuR++nOj/WqU29bMaT4FSxuHVgJdTsAg+5XnbocV5UzLMfzop1/BjouvQ3nsSu7KoUBQ6Lj1KgzYDiElhWE30yFU5wJiIIfkDmosJ6QgUlIEqumE3fTT67iMMgTMJvozcZVPJKLQpSSiag9C9lYMOvfDpVXCnaqEkxrV7DqY7gfleZ0E4N6jEUFP/CC2Fr8DodDMt00K5pF8U8rOp7zkMXPbgwsEAsE5kEyFGrvzQWZAEleH4APbZX4mRI1BOOUirHbeDpvE2fMuyHvydR2WuKMSdKTmzJAmkz9PPn0fnnjqXrz9LX+Btau34rcnrUXSWIyIxfjFjSElqJE7F/UnhLMYMI8gahuAX18Gr1GHEtMHm+mlIezOFdbRl2qgH11KUKN6xHkcrtQIihKrmN9p9dyPouRqFKcuvLflcLKV/itLS8MMsKbmsEAI1+6CZGnUIMHSoiBazKULmZ2fT9duolQaUbpRbqT3H5NVv073LtRHr5/xKQZSxxFQ64URXeDwBI4WmrCjHf7YctiUuZmkiUbD+MkvvoFIJIS/+ei/oyjA3uu8FDnH1klBAUPcqYmHk8wRTR1nknr1ZAxTw2nzAdo7lUnrUJW4hLuKPBMU00FjXZNV6rC9DarhgjdVn3MMMbbJTF9U7b6ghjSJ6tEaeQ7BVCc2Ft0FRZo/0c98QhaeOYJ5QhjSgkUHCZWQrwNoQdqQJitx80V99EbIRgrm2PhAk6PQ5Jm7rnUn9iGodWKN+3ViUqbAMfJUdNSdrEbU3nNe5YusoI2Ge9A9eAJPfu3b2Lb5ctz2mrdDUUS3XghlQHB+DKvHMWI7hYC2/JzHMsNdZv5mmjhrPg8nilEvp0X1YuBIrVskkGim7t29npfg0EtgM9Lq9El5FL3Ol2HTfVDmYDXdCidDj9J/Nxa9EYrEjxqx2FBJOMxCaKyMPNpbLxrPGbFoe9yUlqSTkGVljcy/8xSDYxy5/2Cw35L6Ik/B2mZnN1ySFJgTdUeewuZAZxfnurIl5V5CJMJWq7bbXZbUuXlq2DyFxzMvt8xMrTFlQE9KGB1g55MHL/9Hdx229Ox4Ctk8VcngEFtRdtcPX7JUtngqp9MpLr96P/tZ12wsZ197v2FJrZNFVOlBQF9+3urcPIibH1kRyJAx2hPyMFIxtmp3SUP6nbUPv4LB2AlcvOxuOFQPVyW5ZXcnM91Xzt6np/ewR/Nn9/Of2+0fv4qZ3t/NLtfFZexyx1OtPn2M3SbER9ltYNdBdl4He9iKyxXVyyxFCuDVA1555+H3j5VdyYTDnYI6FiqQp5LMqzcsBWjC9tddxs4nJwwYYbBlNPeaZjP29P8AMU8rSpzL4LdX5/w9HBnFUPI0hlJnYJo6bLIHdtmD53e1Q5WciBr9CJodNBa1X67Hxk23w6fXYtcfD85I6dlq+t4HjjHTr757q6XzLNuRuyqXwVvOVgeuquVE0ShmH19Zs31KWjjaj8gIu6858RxftrvUxY6wERliq8sHKtltxWBnn6X+o6877XI7Geew11LED57ickUzu23vZQcJ4Kp5J5Ns9fJAgN3GOpzsMUUqyVZTtrvYx0eC6bpkKjpK9fUoMVePj2Qn90NkD/Ko/QxsSVKfJtf/dGxiUzJh0z2ojFyCYXTNqs3hjZf8/vSzkMwUwr5WNMk3YtRsRafxAopTqzCsnoRqlqRjQEPm9n/c6DCcCCQ8pEAMkZE+XNrwPshZCuf2AXZZ8Zax013+VZbyM51qNy+qBK/c2SfFnZ7JNQoGGgg7j/YlC3eepW1ICwSC/CMpB5GSo/Akcw2HeWXMjbzL/QxSqSH45Tp45erx2XjNTCAY78FQtA2dowdxUV3aiBYI5gtFUlHj3oKkEcax4YdQ7GhAjWcLRpNn0R87iWhqGMW2JtQ4t0GVHEgZUSTNCOKpEKLmAFxSKSqVLXBI6YmbEn86VqpAsFRwmqXoV/ZTjQG/sWzKHuaYMoAh5yHYDT+q4hvhCmUPd82cyW3iHj6fgl9+1KMLL6DdeBoRdKM6fhlScphOhIXUNtgMN4q1+Xfv7hh5BXX+zTlGdKFAXOD73a+gUbsBbrBDYAkEC4EwpAUCwQUjaG+BL9l4XvvPrOLUy1AW34wB534M66cRN0fQmnoSNsmDlBmheXH3FcNtK8K2urvgtM2d+qtAwKPeu52uzutGCu3hl3Bo8F6UOBvR4N0Bl1HJHOwmCyEWqkBwAfAbDbCZbgwpxzGgHILfaIRplyCbNsTVQeo+XRJfD5deDsVHtLGnYuLCbKDPGPnDOIk66XKYkoZex8s0zaVXUBf1C2FId4cOY0vNG1GIENd4Qpv6GMr1zfCbjbCDvZrNoiBCAAqxsYJEGNKCxUcBtJdLESKuElP7UBJeN+8tj5RVDshKg09rhCtSiWHvQboa3Wy7BQkzCLvkoSvTGdduwSKjANoCRbahyX85/WRIxsTG3rkMiSdYnLjMMtRqZUiChKs6i6QUgS7HYNf9KIttGo/lvNA6U2TSdrP0fsTMIdjgRpe8l6a7tSoawUI13QgpHXAbNfO2Mk62idC8yBd2T/ZcQbZrlUW3YsD9KoJyG/ql/Vij3T3jeN1zsW1s3hHhrwoSYUgLFh1kIWehO07BVEK2dnhSNedWWJ0LpHQ5mLx3WpVc1BWQrPa5JPb+S8HiQVKFEbXUMahgjhjqLGbs8KHUWIt4gr2vVs6T1++S0quqJdoa+iEM2g7TyBJBtRWjaguqYjvnPLY8cWE/E3sS2+vfAa+9DIWKR6uBZgQRkdK6HAmE4ARby2AymvDmEcwTwtwQCATzDhF9IWFAfEm2ANWFokRZgT7tIPq0QwuaD4FAIBAISlPrUZ7ajJrEFUgoQ+hx7Z7zh5Iyo1SksJCN6AyVxjakpHQUjhb1ASQwSj0SFgOmoeXdR3Bu8mSebu5Zu2Mz7DYXBltGmH8fGuxmpsuyYknR2eNhr2o5OaqlPMVansppZIh93a23slUTDz+Rdt+ZjMS5rspRzh7pZM/sEnjhVXgqmzwF6HA/W/UzGWbvA5Tlme2HsTtS0CHDUcpRXQ3nKuiey/XH4fBaUn7nKbMHatl7b6McFdhEmK0mnEzGLKm0TqcqyiuPvHrDUzJuXL+CmT7cERzfG0YEQkp9TdMqvvLuba6QRt0oVTZgSDsDR3JCsITn2s1T577irVuY6R2n2Qq93k72u+k+0svNa1ExW/Csfjl7MOTiqOP3d7FDubSdZqttx0bjzHR/FUc12MVWYtaSbPVRk6Nu7S9Jr9ZMJsVxc+apcI9D1Hg1DanUuSIssPNTuaKSmZ6Msetl33G26jihiFP3t792HTN9eID9zvo72fWy7SV2fzbczy5fTVvY9fV1H5xwL88mGmHXe9XG7j8CZR5LitfD7aOW+ghev9VzmvEOHKOoW8a+35IGttI2IcHphxp31Fhqx4s5bctwO/sdN5Q3WHoWvPNPVorPEOxhhwKsXl1lqR/i3S+P4Cg7coQ/wG7PPCXsPkvntCvTKfDbbBKcTnXGfSYv0kg0GLHUL9pc7LFSVTm7zRzuXAUFzilK7DyFd7fHN6O2OhgPw6V50X6o1ZJydvmKYkv3taGcXc9e/hU78gmhuIZ9jaFOdh0vayiDPXEnDg7+jv4+6N5PRRrvuPKzhbEPehpIhAbTomL8fOdHcG7EirRAIJhXerAX3XgZ5di04E+aiMuMqCfhNoTqp0AgECwJCsS+spt+ROTuORVBI1sbQol+2NWZC3PlO0WOOnjU9AQMMaIJg6PtObHBY4kg/Xc8bQHyKVgaLNoVacHShbadotXMG6LoRx2ugOdCh6xglIFh9QTdo+3X0ivjgsVN1jhKsGQpECtKMH8YhVEGiPJ4VO5Fl7ob1RrZK80X0iLuzEljEEVy7nYpEh7v1RP/i4CzBkk9gqQWhdMWQEPxRUj1Y9GwpfxuvNL/MzQHrkFMG8beE7/HsqptKPU34MTZ5zAU7ICq2PG30TfA7XZDLgDhHNMw8mtFuhAE2vIAYUgLFh2mIcE0C6PjXAp4UIkYBuEH22VxvgyobK+kpBTCqP004ko/6uLXzGvMUEH+YOriPS95zPwfQAvml0LZ6klCMVZpO9Cr7sUZ+x/gMsrhMargMatzQj0R1epu9QVAB4qNFVimXgPD1DBknESH8Rw9pq5oC4pctXCq/nGX51awt/4VIuRZkY8i2VDt3ojapuXoGjiKA6cfREPVFqyqvxz7Tz4Alyu9PVK1XQCR0/OEGNGmkT/tVT4Z9fmMMKQFAsG8G9L9ODhv509JYUTVXtgNP/2QMFumEoZhi2LUSeKJkr2IJvypJpSlNkK5EKrhAoFAIBDMypjeDh2bEZX7EJF7MCQfo+nEqCYK33FpCMX6KiTVIIbNU7DrHvQa+1EkNWGVcjsamtkaOouJ0WQndYH32SrpREGpv55+Mrxy4j40Vm0t+H3TgvxHGNICgWBecaEcUQzQTo8MBuaalBzBkOMwHHoJNClC4026lWK4zQD8qWXUuFZMJ12F5gnECQQCgUCQLygkqJdRRz+QJOrKTfZPG1ISldpFNESW2+mjsalbtSdQIq1Eo3r1Qmd73jFMHadHn8JQvBUriq7LMZQ1PYnDLY8hGh/FYLAd6y++HoWEqeswdTmv8iNYwob08otq4XS6ERtlqylKSq0lpcgyjnphiKOAybtu1bpSS4qcPDXvylq2wm3xm9kKnl4fW/27pIItQNHVzleg7Wxjb7TpOcVW0XWXsK+tcJRXeSqkvGc0Wf1UcQOmTYYWZzdIHm/AkhKlt9xtSU3Y0NkbMx1em6XzF9Ww303/6WFmenSIrbZMCPezn3WoP2RJgZ2n7MpTgq1cVUrFTk6ekVG8zA2HmlbzDfWzy8RgF1tJWtc5z9rQkVLS1y6LbqWxogk2dzoSZ2KSay9PuTnYE7b0jg88ecqSCrP7EnY97r+MrcJMGOhjq/rWNrHrfpyjJj08yL43w2CX0/JmdlsXHmCr9Lo5bSbv2fHSefWPp/7tH/Wc43gTqi8Bh+qc9ro8FWBevYxz2vZ4mK9iHKitZqbffvdmZvoApy7f//OX2ee/ld1W9LWwFZGXbWDXYx4nj6QFfSaTiLKVrW97+05met2fsdvePk77ceJAFzPd6WKrKsdjU/MTDPfBSLkslV1CFaeehUMxS+WFV7547bWH019uvKqZfbyffXxvJ7sPD45wlNBt7P6y9wR/LMDCW87Oj3aI/RziMXZ+wNnPm0qx618mXjILXdehaVPrv6+4yJLKPi/KRe9ZTp8cZLf7iUiS25+xIP2WA344DP+U6DBOVKMYb8893i5bijLjr2K3pcs3shXqq+vZ7Up9M3t8u3ZTI3g8+btXLI2Xtt2yEr0PPIv4oAtNF5Vhw9qNNNpOWYUfjz7xa7gCwPU3vRnlZdUoLZmIvFAIK9PCtbswWbSGtEAgyA+6godR5KobN6LnGlPS4U80jxvRBNpl5n+/KZhnCmDsJJhneMaVYOlQADpTghlCQoPd9fq/QlfPGTz61M8xEhzEVZfegUg0hGd3P4SPfviLKC4qn3GYQ4HgfBGGtGDRIckmhNZY/rhhtQ2/hI3Vrzvvc5kwkZCH4DCKc1zEDeiQzEkr7hLxOjnvSwoKHVnIdi91iEeMmE9Z2izGviAq9cGW0uBV03uEsyFK3bKkQFXYK+KFhm5oaB3ejbaRl3GR9t9QVRtqqpajednG8Xt/Ytc92LblCqYRTdBSbC+AfEKsSBcmwpAWCATzxkD4DOyKF36nNVdSFkQ0rNv1PBTTDo9WS/9NyKNIKEMIJFbOSX4FAoFAIMh3BpUj6A1FqMdFsX0Ziu2NSBpRDCZPITTYg/qSLVhbXVh7hFmQ+3u169cIJrrp730DZ7H75T/ixOlX0dS4AetWX4JgaAh7XnkKn/irr6GQIa79Rh6pdvO2GghyEYa0QCCYNwKuaox2d2JPxy/o7yOxs7h2xUdndS4TOpxGCcriWxFRz8KQdLhT1ShKrIJqzI/buEAgEAgE+QbZylThWokS+3IMJ1vRGz8Mm+xGjWsLfCU+nOx7BouBruBBKLIN1y7/GNpGXsJ9D30XwyO99G+t7Ufgdvnw1LO/xo3XvRFejv6NQDCfCENaIBDMG3bFM+7iHYx3w20rgSKTZic5q73QxL1bNV1w6eWQTQcUfXG4rgkEAoFgfliMWgml+nq0Rx+DWylFlWsj/WSwOwyMRDvpaq5UwBvEk1oELcO7sbXmzdSFe1nxJbj7de/HS688jINHnsedt30YR0+8jCt3vh4rV62Y9lyFsMlHuHYXJovWkG472A27zYW6LRXMvwdK2SqnsixZUgltQ3pmbKYqwD1H2MrWTTvZ6ohaii2Q0NHSx0wf7Wdf11fKVhQ1DrGbl6tunmiUJxMJslVLB+xsBeKeIwOWVE5Vjpo3T/27uCF3FlJHBBJs8HrZypuhIbZKaP8ptvLmSGfYkoJnNMhWoO1vZytS+0tKLCm212+YUKLMRtP4bjgv/fIArFDCUU6vWM3Oq6ywO+tQfxSXFP85TNPES/HvIJoaomk1G9n7mHjKyuHRYcgoR4+yG63eP0AyZfiMejQq17Hz40hBsRtQPDNr4qrWlVlSlrdzFKZ58N5NeRVbNZbQ38OuT71nR5np/mJ2/di0g62Y2tjMfgeREFsVd2QoYqnN5Ck98+DVp5Fua4rq4+r+kgnTlkJiNF027V67pXpmVcl9xRXLmOn0Gn72NR743SFmupZil5faxnJLCuyXXL2GmR6PshXe7U52ub7ipg3M9Jd2HWOmP37fq8z0+iZ223XpdeytGduvXs5MHxlk90EO11Sl3472FFauXs08fnSIr7R++kivJdVut8dhKb2rmT0WWL2xjpk+3M+uf8ERdnppRcDSWGZkiF3e6zey39lQZ9BSdI36beztPf4q9liscx/7+Suj/A3PcpjdDylyHHa7OuO6T/ooK2OQbVsuhhV4yv9tr7DrJSvahB1u6GYSR4L34prlH4WcZTD3DJ6g/4ZHIlDlifcdibDHOKkOdn5O7etkpvuK2B5gJqcdCnDGn4Rr79zGHeM+/NQPsWXj1bjkou3p85smdj3/O5w6sw9vufPj8HmLcMXO2+jfDu9rZZ7nhtenx7LZzydfMQ2DGtP5lB/BEjakBUsXIkS1CCegC5qYkQ6hUmTjh8E4FzImBhOmRBp4/ls2TdIJiFKw1DEnhT8TLD1UGzuMjmDpYOaPbTKnrCm/EWeGnkdKj9GoGD2hI1SQy62Wot53UY4RXWh0dB1DT18Lrr/ibeOq20/t/iVGgj14x5s/BZfT2nYu0Q4I5gthSAsEgnlnJNWGKsdmNLovn/U5dCTh0auRkqKo0DbDbVYCi1CNVSAQCASCc1Hj3wjNSOD5tu9iVdn16A4dRpl7OXpDx1FaxI47nu8kEjE8+fTv8fyLj+CWa9+HWDwCWY6hu/cM+gfP4l1v+RTstsW5pcs0NeRTtD6SH8G5EYa0QCCYd1TJib7UEdSbl0CWZtfsnLU9BZ/RgBrtspzwVwKBQCAQLEUaii6G115OV6NNU0dTyeVo9F1G3aALhYHBbgwO9WJgsIca0atXbsHb3vB3sNtd+NGvPotoLDR+bDQahD3A3uJS6KT3SOePF1U+uZnnM8KQFggE8wrp0Lvj++jPBoxZmcAGNGhSDCX6WkjCcV8w48InHpVAsNQpIJtyVpS4G+kngwF9SmzpfGX3S4/i0Sd+hfq6ZrhcXrz3HX+L2pomukf6+T33wucpgdsVQHlpHZwODxx29j71c1Eoz0NQeAhDWrAIIdrOgnyBdGD1rktwMvIwhpOnUe5Ya/kccWkYNtM3YyOaHiX6zSVPAejLCOYZsrdSsLQR7UD+oWkp/PJX38WJk4fxkT/9F5QUTxUGPtN2EDdf826Ul9aPp7lcfOGyQm8HxIp0YbJoDemLb14Ht8vDVTMt5qh21zQWM9M7TrMVNpNJ9h6CNdsaLSl4xmPscEDV9WyV5OEBtsLmaYOtshgaZKtQ2hgqp4Tjh9jnIaxYx1YY9/hdlu45OMLO0/6nTzLTh9vZKqHlK3LfmanGAENFctSaOT35POfC4WU/u3KFfZ5EOGlJ8drQOYrth3otKUwTatZWWVLh5qkDl5SxldCTGxqY6Z1t/ejoOooXn3oY9TVrccM1t9P00cHwOdXCw4kBtA69iJFYJ3S7hgppM1xqrpp4aRNbmVY3E5BVHXrMMSOFWC3JdmG6/LWbmOlX3dhsSXn6OEe5vu1kP3is2TQxeMjGx1HndnnYwjIOjhJzMs4+PsVRjPb6nMz044c6mOkxjvq3r8RtScG8sZlddkc5KsOZtpSEfkloQ3DayqZVTg+UsMtEgtMmq6r1jfm89p3XD/mL2O9Y4iik8xTbO1vSIn+Tqahl1xsbpw3pah22pOZtd7DL3N7nTjHTX376DDO9qMRjSSk+ODJVUXtotAeJUWvPk1DfXMpM540peHmKx9hKzPUqu43tbB20dF23x2mpDPEUlA+/0m6pHnh97PNrK9j1zMM5PhaJM9PdV1jfBxsNs9scDUNQMbWvK6tkR6cYGphwJc45nqOEzrs3XptD+kUWkSF2meNh40SPSITZZc5mY5cVWWaPQc680MZM56mdO53sPmWwLzfShGHo+H8/+CiqK5bjfW//B9jtTkQjue/OU2TCMFO4aPtFOavJI8Nslfr6JnaEngxaynrIzQuNqet5JZBJ8iNYwoa0QCBYOLp7WhGJhjA6GMXptnQoHGJQk1lhXqedTTwVwr7O36KheDuay65AqLVwXNUEAoFAIBCw6RvooCvSK5q2UCOaxaEjL2H92otFvy/Ie4QhLRAI5pxf/O4/MTKaO+v+3ru+OCMjmnCs7zFU+lajoTgdYzIssVfEBAKBQCAQFA7Do70oDlRieKQXTz17Dzatvwwlxel45UPDvXjuxftx/OQreP+7P42lhIgjXZgIQ1ogEMwp3/ne3+UY0ZIk48odd8FmIWRFQ/FFONR9P2oCm+Cxs93PBYJzIbQSBIteaUogKDBqqpqxad2VsKl2xJKj+P5PvkANaZtqQ9/AWWzZeBU+9fFvwumYnbAYi0JoBcge6Xzayi1Uu2eGMKQFixThBrxQCt09fem9ds1NG9HV3YrLL74TTfWbLZ2nxN2AVeXXYG/HL1HqaYJs+lCCVZZCZxVCxymYX4TCu4BM5AmWOmI8kE8EfGW4aNMN6Z9LvLj+mjfjTMshJFMJrFm5DYqiwulgu3zPFlm0A4J5QhjSgsWHKaetKNF3XnDIPuZ//PRPqEH9j198F9VPf+zZH+F9d38ZqsIWZ+NR5V8Ln6MCo/FunAw+DbdUATfSwlHnhLz/PIrHKFgYhBElkGUxzFnqSLMKuii4UCiygpXN1ibbraLarI0/Fk61G3mDWJGeGYu2h7HbVdjtNqzewlGY9rLVBYMjcUuKmdsuXcFMX72BrSAYjrDVFOMxtvp3+8kBS0rYPIVb5wb2/U5WSsxw6EW2iirhwFNsVe3yZrZa9WXXrWem+wJst53RjWw1XgfnnU3GJPtwTQU2G7t4F1ewlafDoamKr4SiWvbx7hKnJWVPh4udf52jkuwrcltSSyVxF3mMcBSOiziKxbxrNK1ml+u163Ldr5PJJD7/xYk68/1ffhIvvvgybGOd2eMPsMvQrqF0vOkMTtRAiQBmrwEFU59fuJ+t/O4sUgDJhKnn1tv+U8OWFNtPH2Or1x890MpMX7tpGTO9rIpdhmoa+W7rIwNsddJDr7CvffIltnq2t5xdjgIVbEXk5tW1zHQPR7V73RZ2hILBfrbybZSj0mtVJZu3395X5BlX7Y4lknA7079XcFTBFZV9ntBozFKZ4EVGoHniKCUPc9Tre7uGLdXLaIj9LmNR9jM9vJet0FxVW2xJFdzj40WhYPdzPHhtb10TW8W4romdz1Bwan/W061heXONpf5+OvV6haPOzVPNL6vkRAqY1DZlGBlgHz/cz24PdE50B947kIbZz5pXP3hjBNXGrpcG776Gw5be/Ug3+3g/p90iXHrtOmZ6JNGPstKp7dqxfew20x9g19e+7hFmujrAjigy1MFO79zH7quLs6JWZKNzokoMtoxaOt7l9Z4zWkY2sVH2ux9sYT+H3aOHmOl1q9kK9dNFTeBFp+CVu5Ehdv0oJIQhXZiIaTqBQDDn2O123HnnGyYaGlmGqlqbt0vpCRxqewR7Tv4GtdJlcEjszl4gEAgEAoFAILjQCENaIBDMC+985zvpv1/+8r9jz55XLIWx6B89g12HvgsTBq7e8EEUSU3iLQkEAuuIsHkCsc9ryVMI4TNNk7h259HHFHGkl7Rrt0AgWFi6u7vpv4cPH8YNN9w44++R/dX7W+/HlqbXoczPdpWewVlm+T3BYoLs0RcsbUjsesHShmzzECxtCqEdEK7dhYlYkRYsPiTSYIoB9EJTVZXer//zn/8MwSB7r1g2kWgIf3z5X9DatwcOm+c8jOi00JwkizKw1BFiKQJNs7ZfW7D40HVRBpY6WoqtFyEQnC9iRVogEMw5ZFX5zjvfOC48NjIyAr9/+j3ODntazOpw+yPYsfJu8VYEAoFAIBAsCdIr0vmzAGAWwCp+PrBoDemB3hG4nCkkX2LPRK7bVs9Mb1rOVlyurmErCw4OslU/TxzpZ6a3n+63pFxZUVVsSS11RV01M93GUToc6mMrY9rtq8AjOBq1pFbNUzxPcFRFV62vY6Y3r2Yrr07JX3gAdpsLTofHUv77e9hKlE6O2jZPOb26vtSSynBwhK02GeeoGPPKCu94QmQkZsndiZfOU1DubBmakvaJv/oa/v0/P0Z//tjH/gb/8oXvjP+tpjG3XIfDQXzt6/+MNSu246Zr3jUlVNZoJ1sBmofdI0FSZKiyfUZK6zaXtabQ6WSXiYN7TzPTK2vZ6tyr1rMVsgmNHKVTXiSC9m3sFfxhjvo3Vy2Xo67LK7/cMsRREybRFFiEOOU3Hk9au27CGHfn1FIaUol0O9PZxm57q+vZIdXsDnaZaFpVbel5EmIc5eOQxbrPa0t5xw8PhrhRLVgcP8R+98s5be9AD0+ZPWEtooHTWmiajtNT2xuCxFDUjoYS6GobsaTYTiir9llS7R4ZYr//RJTdz5VVsccUyzjRLyprOYrOmrXBLi9CyEAv+11qFs/vcrPLVkkF+34bm9mRIJwudplIJtj5J4RGeREBNMTCU+vIinU1ls4zxFHnPrDrFKyw4mr2+LN6WamlfrecMz7s72Gr/vdxxji88/PGPlbdpHnt1nTt5umjcUttaSG4bp8LU9enRBpZSExOHy7IRbh2CwSCeaGyYmJCJJGI47v/8x/cY3/9mx9Sw+c1173PcrxpgUAgmM47RiAQLG1EKyCYL4QhLViU6oz5r8+4NN7DJ/7mX+jPXV3teOqpB3HvvT9jHvvY4/fh+IlD2HvgsQucS8FiphCUWgXzC8+TQrB0kCVRBpY6hVAGDEPPu4/g3OR/yRIILCJLCqQCaDSXAhs3XpTz++DQVPfa0dFhvOmN78GyxhV4fs996O1vO/8Lm1L6I1jSSBLbZVGwdFCEh8uSR1YW7S5GwQxRbcLTTTA/iNZFIBDMG6pqg9vtQTSa3gt68OBe/O3ffgBbtuxAY+MK3Hffz9HT24niolIaqsjnKUE0dm6Fb4FAIBAIBILFghAbK0yEIS0QCOaVa6+9Ffff/yuUlJTjfe/9Sxw7fhD33PMT2Gx2+HwBXHP1a9DcvAYV5dX40Q+/i67eFjQ1bBRvRSAQCAQCwZJAGNKFyaI1pIlKIPnUNLDVcmWO8mZbK3s1rLTMzUx3ONiug8VlbMVom12xpBDLUxXlqSDGIklL5/cVuyydf7o9Z9EIW2WRh9XjeWq/wdFc5dtEMgRFicNuS1lSd6xvYquHBorZ7z6V1C0p1ibH1IMno2ns8yQ4Sry851/KUcQlqBzVdp5ieH/XiCWFzebVbPXptpP9uGL7nVi/4gqEI0H82xf/dvxvW7ZcQkXIntr1IJ586gF8+M8/gw/96afw71/9OLZs24aN67ePH9tytJt5/tIatpKt0y3DMFOwq94ZqRu7PU5LZXS4n61wa3AUN88c6mKmd7YOgEcNR/1d4bxLnvptVX0RMz0aYtf9oQG2cnPLyS5LyrE8VXteeefV79Ehdn78Ac+0qvlEvC4YBgK+8mnrJfcdD4Qs1TNeGZquLrce6WGmxziqwQ4vW0XXW+621Kbx1XjZ5bezfcDSO+O1Nzx1YF6/5fLYLfXfQz1Ty8poKAIzGbRURgl9XUFLfTgvbE1n24CltpT37Hgq+IESthp2RRW73vPgjQUaV7JV7VMpdj3u5zy3nrNsJenyqoCld1/VwL8vVvQIQrBNZ6p988qRL8Cuy25OniruZuep7XQvM32E06bx6h+vrDg49bi2kR3xoXkNW6U8yql/vDFLMslWTuc9z8G+UWb6dN/htVEpjmq7xhdzpwi9DMF8sWgNacHShbgIC4nG/KK4uIJ+/vaj/w/3PvB9dPe2wOlw4aYb70A4HILdbsfmzdsRGU3hfe/+JP7rf7+AstJKbFy/Axs37KDKu1Y7QqHWKxBlQEAmVARLG1EGBIUQHkusSBcmwpAWLDpMU08b04K8w+crhk21U4GxZ559hH4yvPd9r8UXPvd9NDaspP+2tB7DgUMv4bvf+1dEw3FUl65GU812eF1sL5NcDJjI/45TML/o+jmWKQSLHsMQZWCpI9oBgZZir7rnoydtvpBPeclnhCEtEAguGCScQndvG5xOF+Lxqe5qX/7ax+H3FcHt9sHj9mI0OAyHw4WhoQEMh7pQERueoSEtEAgEAoFAIBDMH8KQFggEFwwiMPbxv/ga6pZP3f+raSl0d/QhEg0hEgkhGg3D4XRRF/ATL49AlkUoI4FAIBAIBIsP4kOXT4vAwqdvZghDWiAQ5E2oLL+/mH4mc2rvKwuSJ4FAUNjk0bhUIBAsEIXQDhA5B55o4UIg5CWWuCFdUu6H2+VF++l+5t9PHO60pCpaxFHGrF3GdjOtbWArUTY2+pjp4Qh7H1dPN1vdcajPWrrTZbOk6BsoZavAEnSNPU/V181Wmu3uGLCkPl1c5rN0Dy5PruEVChuw25woKSuxlH+Wqic9H0dBV+OolvLgqbHyylZwJMrJD1tpO5lkK2wSPD62IqsvwH7P/T1s1W67nd1knDxy1pLAR2dbv6VnWt1Uaik/g0ODMM0U4pNWsXmq2jxVVF4ZjY1yFKCH2GVFsXOU7ofY1yUEGQrE0yk3xzjq05t2LGemS7zIBad7LL3L/p5hS/WJR2Utu742rWQrzXr9bGXdcDA+LjBE6nomH8MDQUvvfpCjPnzoqdPMdFlhv2NCMpaypLbt4qgG88oEj34Xux7zCA2x2xyNE6GAR3GVz1LbzlPilRXJUr1nqXBH4w5uW9p2il3Wp3ufPCVjHpnyOJnRTrYqfITTJiTC7OuWNLAjF5QuY49B7A6bpXdTU8due+OcMj0yHLakvs9L9xWxVfkra/iq3by+XZJkSxEKJkcCydDbyVYF58HrP3iK1LyoEpFRa21Uq4sd5SLC6Z9sLtVS/fNxxoe8yAW8+krzxGt/OUrfoWF2XS4uZ5ffDDKnDAgE58uiNaQFSxfiAszrOAVLAwkSTIgysNSRZdHFLXVkRZSBpY4iysCSR7WxJ5DyCbICnE/i4mJFemaIHkYgEAgEAoFAIBAIFgjDNPNrj7SZR5nJY2a9ZNPZ2Yl3vOMdKC0thcvlwsaNG7Fnz56c+J2f/exnUV1dTf9+ww034OTJkznn2L17N7Zs2YJly5bhe9/7Xs7fdu3aheuuuw4lJSVwu91YuXIl3v3udyOZzH8Je4FAIBAIBAKBQCAQLF5mZUgPDw/j8ssvh81mw4MPPogjR47gK1/5CoqLJ/aqfvnLX8Y3vvEN/Nd//RdefPFFeDwe3HzzzYjHJ/ZovP/978c//MM/4Gc/+xn+7d/+DR0dHTSdnO+WW27BxRdfjKeffhoHDx7EN7/5Tdjtdui6tb1aAoFAIBAIlibsXZ4CgWApIUn53xIQt+58+wjmybX7S1/6Eurr6/GDH/xgPK2pqSlnNfrrX/86/v7v/x6vf/3radqPf/xjVFZW4ve//z3e8pa30LRIJIJt27ahoqKCGuGhUFp845FHHkFVVRU1xjM0NzdT41ogOBek/JH/BEsdUQaWOqQtECxtDLHRb8lDhAcFSxueWGY+QRS786mozpeCeGtrK/75n/8ZTzzxBHp6elBTU0M9nD/zmc/QBVMeZCH24x//OH7xi18gkUjQxdlvf/vb1LYsOEP6vvvuozdw1113URfs2tpa/Pmf/zn+5E/+hP69paWFPhzizp0hEAjgkksuoe7cGUOauH6vXbsWmqbhz/7sz7Bu3TqaTozo7u5uuhp91VVXzerG9j19Eg67i6u8yVPR5cE7z+FXbZZUGf0BthJl06oqZnpVA1uhsriMfR5FZeezs3XQktrydAq05VXsPCWTbOXV4jK2qqjdoVpSeOTd22SlTl3XoMg2xCLsbQAGp3FIcZRpeQ1wPM4+f2gkYknBkwfvuoFitsr3dPDymkqw71nmKDr3tg9bUtUurWArx0aCMUuqpeEh9jPlIasaDGiAlHt/Xo56+XTl3cq74Slq81SPPcVslVNCIsJWxTV09rV5ysRPP3SAmd7YXGUpnaduzVPdDfZFLD2L0CA7/7pFxegJZXYTcISARP+0itc8NeRUjN2eqZy+g6cIP50qLu8avPRwP/sZKXbFkgq+prHTE2F2/RvhKEzzVMd5yta8ssJrG61GA2CpBseSfXAoZZaUoQk659kFOe17Kq5ZKhe8tsIZmKo8Pt27UTnvPjLMVmiOKQlLEUu6mKn843nRA3hRJXhtPm88MV20DN6YYqB3GPGgY8bliHftMk5/pnAicvCeEa+88/rdSCBmaSxj4zyHRA37WQ8NhCxFoeg7M2yprZ6ufy3mqM7z2kBePUhyjs+gpcS20Hzh2LFjtO7993//N1asWIFDhw5R+5Esrv7Hf/wH93sf+9jHcP/99+PXv/41tSk/8pGP4M4778Rzzz2HgjOkz5w5g+985zv467/+a/zd3/0dXn75ZfzlX/4lnUkg+5iJEU2YPEtAfs/8LePaTYxqsu852y2cGOgPP/wwrr76ampU79y5E9dffz3e9a53we9nVzqBQCAQCAQCgUAgKDTIvEh+iY3Nz3lvueWWHA/j5cuX4/jx49Su5BnSo6OjVEuLbAUm+lkE4hVNFmNfeOEFaicWlCFNZhLI/uV//dd/pb9v3bqVziiQ/dDEkLYC2TtNPtkoikIf0Be+8AW69E/2WJNrEZfyl156iQqYnQvTFoZpT8GcPBFGEyQYOTNkZFZycomRAVMa32Bl0pnCqcdpJplVzp1FNKEDmpKTTsIxSZARTUzM8JmmNu562DeQniVWZBUSma3MXMYegqalYBh6zvlIiCdZUnLyQ44Lh+LI3gqiKDZ67VBkIiYfORd1dZKAWCq9QiBJCg0ZNJ5fQ4Jp6tRFOvvuyHEhulJmTjlfImsVQpZUuieFHGVI6Zlgg94veYbpM9psMg1PMzlUlSwT5UIj57rkOFVVc66rGxpMw8iZlSXHxeMhKKoDybF7yxyXOSH5kYTDSF934rvJRDInf5n3Mblk0POZBpJZKxCZkFvkfcbG3rFhknc28W3yPNLheCaVl6xykH0fNC0rOXM+TZpYyaDPb9L50s95UjnVyHvMvV9yPmPSyhQtB5KEpD6xakHu1aRlX4Khjq2ImaQ8p98vIZ5il5dQJD7+XLKvG4/lznRnnktSjzGvqyE9mywhU68mzpc+ZtLzo+795N4m7o/8HkvlrgJlyj0p7xPXZZf77PemmfGx85s56bps5DyXsTuGoU6aqR97fpqZ9ZwnnU+XSfnKfc65x+XcMVJmkmQ+57p0k0NWWroMpM8fjirM8qImVCjj5XnibNFodOxZZ11VUpHQct8lzR95/rbwlHY3k690ZnLfm0FWbyaVK/pVuzb1fnPOh9zzjbcHJrkZwJDpoYo3XbYk2QSkibpl2nWYujT5VUL2aDltKT1Wl6asrkiKCUkyc9ohU89qw8kzdWikUNLjcp6fi7wfKTed/DzpOHIP5DhbIDHluum85h6XSU8Z6ng5yDld+gy51yDH2ePM55x5dlOen1ObOI70l2PX0cbrX+5DlXT7lHaI1PPJzzlT3/Qs74vscj/uckj71Ykvx1P2KfU3oY3CHCtXObdG2tNobhzenH5rzNNpcvucMiM59SiDLqWmPGdyHH00k54zSTFtOrM8p8caU+sHfdaTnjM93p77e+Z8pqLkpmbOl7PqOTHOSWTud6z+jn8t5hhrJ3PfGykH5LnktJOygkQqldtvjZ0vqWetCGa9t4l6k1tOY0n7lHaX5jgSZrZDpL1KaDJznBNPpuOpT+5/6fhhUj9NSEvxTC0vKdKWMPpLWc+6rjn2/EibM7byTJ5L+vllbl+CSfI36T7oeI3Rn8fjCeZ1c9qcsXJPUI102z75vaWSxFMr9/0SNCTY7YFtkvdCppzSNnlqeyWpY/cz+TmR50DKH6Nd06b0ZelyoMvZfeZEv2DaNE7/ITP7j+PHjtB2hHi55jvkfeaTB3qmfAWDue2kw+Ggn7lkdHSUikvz2Lt3L1KpVI6n85o1a9DQ0EA9nQvOkCaGbMYNOwOZFfjtb39LfyaryITe3t4co5f8TlS6ZwpxGX/nO99JP8SfftWqVdRY/8d//MdzfldKeSFJLkgclxKrbrYyR5dNlTiu3SrbbcvtYLuSVZRxXLs5btST3ZkzBEfYLkCJEMddLDhk2RXH52HnKRphu4x5va4L6todDA/AbnPB4/HNq2s3736Rml/Xbg/nec7GtZvnvqgn2OUoouU2qJmu12ljN4A+D9sVTjXY59fiHHdgsF3MeMhSCgZSUKVcN3iXbW5cu5MSO5+GwXZfNDmutKrEd+3mnYvn2m2TXExlJV458rrLmel2B7tNk03OO4txXLtTnO6F5/6XFfM5+zZMi67dZrZrN0JAKl0GdHY2kbwArt0mx7XbrqZdo2c68Z8aZT8LpzO3rcuczyaz22qNTsxORUpy3OvDnBw62K7dqsT2HHModktto5Y1EZaNQQfRU3HaptYnau8rnPbJbd21OzrKdmslBreV/sZIsY+XFI4oEqcNT08uMtKpETUVmXN+h8puq70utyW3ZUnjuCEnOekcHQOXnd1W+zz8rU28MUUsnIDXVXXert3csck8u3Yrxhy5dpPJVgbxMX2iySRTnH6X46bPa6vNafpXFRwvU4Pn2s++BzmrHmQ/xdVr0rbK4OAANw+C6SGaWNl87nOfw+c///k5e2ynTp2igtLTuXUTb2bi9VxUVDStp3PBqHYTxW6yDJ/NiRMn0NjYOC48Rozpxx9/fPzvZEaDrCxfeumls8oocf0mRjnxoRcIpoPM1Oa/PqNgvhFlQJBevRMsZURvICgExWbB/CJP8nzMZ9fufPoQSEQlsmKc+Xz6059m5v9Tn/pUevw9zYfsj54cSpm4eZMtvRmdrUJjVivSZMP3ZZddRt2t3/zmN1N36+9+97v0QyAP66Mf/Sh1zSbxn4lhTcJcEWW2O+6445znJxvQ9+3bhze84Q1UrZsotRHV78OHD9NZC4FgOojL+2R3ccFSgwycRBlY8kzZ2yNYaqTdgwVLGUma1VBXsIhQbWxPq3wiX1W7iTbVTPSpPv7xj+M973nPtMeQ/dAZurq6cO2111J7MmM/8iCLs0RPa2RkJGdVmng6Z7ygF4pZtS7bt2/HPffcQ2cl/umf/okayiTc1dvf/vbxYz75yU/S1eMPfvCD9MavuOIKPPTQQ3A6+a6MGXbs2IFnn30WH/rQh+iD9nq9WL9+PQ2dRQTIZgJR0JR1jas2Wr5iQtxsJkqasVG2Gy/PTYrncsNTqBwa/P/tnQl0JFd19/+19KqltY6kGc3m2cfjbbwv2MYYm8PnBBKwsUNObMfB2Q75cjgHEzYHAphAEpwEbEj4WA4GAseQQFgMcbDxEu+O1xlsz9ia0YxmNNJo6ZbUe9X7zr2t7lFr+kmqmW6pW31/55Squ7pUXV3v1at3373vf4tDZvP4n/V5UsDUhQxt2t5bcntnT6snddW51HtXdLeWJTR6+HBuPtNCw5NnK8Rm3SkYhg/WjLnECwm30oZqa9D9rtgRjarrPKqSCw3x83qcuep1SKMQG2jweVKZHhk8Ngd/JpMade7G5tJhexNjpUNLdVM0dCRZ2TMLQ1kLUsLW3cc6hemm9tLhjv42n6eQPV1dnItErHQ9HT884SnkOHbkdU8K0MdCphd2jXR1K9wW9KRIrduuU9suqLoaCr7mNDLR0nVwPho7vU2hSGqeEXPds2P9MU9KtusvXOWpjIc16rq656LuPHX3h66MtYrzmueiTu3XF7Q9HT8xcXwZOMYUrFntQJ6Dr+YU3b2Uja6++zXh+7r7Sae2rcsoojuOThHeFyrdFtm+0sfve+6Qp3qtu491dUh33XTXQbe/7r4nlGbaS8t6E25ibMEK6br6qPttuuk2kVVNnp6juv5bqXo9VyYCXXuga8O91jnddBh/o6bf0KZvS3Xn2t5dug2MRcuT3UEoP52dnbwsBPJEkxF99tlnsybWfFMfaT+fz8eRzu9617t4G0VG9/f3n3Ckc7k44WG6a665hhcd5JUmI5sWr5B42T333HOipyYIgiAIgiAIglATVKvYWLkZGBjA5ZdfztOBaV708PCxAc28d5n2oWxNFI1MzlVKd0WZnihbFImSkYf8/e9/PxvRSyk0Rki8iyAIgiAIgiAIy5JamCdPNnRVpb+q0HHvv/9+Fhijpbe3OFo2nyGBFLrJ40zZQvLceeed7Lkmj3QqlcLVV1+Nu+++G0uNGNLCMkQV0k8Ida4z5SpMxI9iNHYQI9EDGJsYQGfrOpy+8SpONSIsb2qg7yRUnCrqmQpLw+y0S0LdoZuKJyw+N91007xzqdetW3dcGleaGnzXXXfxUk2IIS0sO3J5SeXBWY9knQxGxvpxdGwfplLDOHh4LwK+Bjam80zER9DRsharu3Ys6bkKlYdyLQv1zexcvUIdYkodqHd0abOqCRL3cqtQbEyYGzGkBUGoeVzXwesHnsHuvQ+iqbET7ZEeBHwhnLLyHISDLdhz4AlceNr1CIeaYVv+mgjzEgRBEAShPiDF7upS7V7qM6gNlq0hnYyl4Np6Fbg3Hu8vuV0X7hnQqBHq1IR1+7doVBxNzXES0aQnpcO1Z5SWgT/QN+RJbXl4b2m117mULg+vGvF0rvFRb2q6uuMUVHqnMQIJqKwNEzql6tKKmY0dIU+CC/HRpKftExr14QaN+mljZ2ll6Cbd9tbS2wmdIqJOgV2nPD77Ws+nau9VRVyHTm3UDloYjL6C1w4/jMZgO3aufTcOjryA/sEX0dG8Gk4qjf2HXsSOVddAxYJwDQNpHK842tJT+r70BUs/SSZGdMqhridV17mumzYjgOZa6BRldWWmU7+1NQquuu/VlWVGo3qta+tG+sY9nWcmU/raOc70/oaC63cxNZa7H02ztAKt31/6PIf7Sis6p9MaZfk5Uu75/fp7sxRTL5VW1T740oCn36B7DukUndvXRzzVU11bp9tfV5Y6xWtd5gIv7YfZEMf460lPKs+57zY93WdpzX2mu290ats6JXSdivWQxywOOnXjVLL4GrmU9QAWgsFQWTKZaNsJj+evU/kmXKf0dyeicaRH4yetXq8LD1ZKUzZ7j0VCzaRjfbun36ZrGzPp0nWuqbPJU13Ufa+uLurUuXXtweDu0n3DudDVI68q+IJQaZatIS0IwvLl1aEHMTz5GizLD58VRCTcjWRmAo/t+RZ3amguzXhiAB2+Hbhk461LfbqCIAg1QQJHMWS+gDiGEEAEPe5ZiBjrSkbx0BzGpBpHwGiGOZ2v+0DySQ6n7/RtRcgqnRJz8ZEQ1XqnFmqAq1R1iY3NmqMslEYMaWGZqkwJy5FUdhIjU30Yje/DqpYzsaL1FDQFO/H8/h9hPH4Yq9tOR1dkCyzTxHh6HwLuwnIaCssT6QcsDxw3i2R2HC4c+M0G+FQLzDkiAIqQ54EnosY+BFQEq9XliOMIhtxdOKyeRYt5Cgwcu+Zm2sS4sx9pNcmDl83WajRaXTiaeRWdvm14Jf5TdPt3oCdwlsfSnlF0ykXanUIyO4GUE0PYbkPYOoE2XepA3bPg9mIJoYCHapojXU3nUs2IIS0sP/ihKcb0cuJQ9CX0jz2LtBNHW3gd1rWdjxWNGxEM50Jmz17/bvZID4y+jJcP/gJrOk7H2o5zoDKlQ9OE+kB5ixoVlpiMk8BEZhCJ7HhucWg9hqybRtCOsNcz7UwhM5iAbfrRFOzCiqZNWNG0EX67oe6MqLQbx5QzCr/RBJ8RPmntBxcZZJFAEG0wYaERK9Fun4JJdxAT6tC0cFvOS+VCodt3BlqsdcgiiWh2P8adfegNnIdO/1beZzD9EqacETRYHWjx9aDRtwK2OX+bfDTxOvpij7IR7TNDCFrNCFhN2DfxOJp8PVjXeBG/XyjK9XZdyNMexzBcpNGAnoK3vfhaZXEUu9mDr5CFy1fE4YUGfHKvaasDEyZ8aIIfjfCjCc5kD9fnkC/Cv080OyqP7ZMsHUJlEENaEISqZSI5hKGJPTgSewW9LWehN3KmttMR9DVhQ9eFWNW2A0/1fQfdLZvghxjSglDNuMpBxs3CZwaxf+IJjKX2oz24EQ2+TnQ2bEbI18Je6Jn3vb/Bh4yT5OkbQxOvYe/wI2gN9+KM3ndiOZN1k3hj8tfIqgziWZp/qxAwIuwVdlQaATOCoNGCoNmCkJlb0zznpBtFSo3zOulEkVUJWIYfFvysJWIbfqSNJCaNg2hQPWhWa4u+t9HsRiO6tXNVfQihw7eVl/zc1lWBc9Dh24Qp9yimnGH0TzyNqcwwbDPIBjUvflp3wjYCfF7R9ABiqUMYSfVha8vVaAmsLtIecFQWAxPP4fmR77EhGrba0eBrR9jOLTZK643kybhxRDMHMJ7t54GHiLGGr0nCHUXCHUPAbIRtBDGqXs9dFwSQwK/RpFZxeHsDVsKEjRj24TCeQQO60IqNPHBPAw90renVsdcWvyajO41JpDGBDCYxmtiHZDaKRDYKZ3qQKGg3IxxoZeM67CMjuwVBXzMs01fkoSfj3DSOdd3p/SQOsYFOofhC7UJ6PNXkBdbpAwnFiCEtCELVMRY/gKOTfUhn45hMDaOzcRM6Gk5Z0Mg9GdSNgTbEkofREWhblPMVBGF+Mm6CDRW6jx2VwWuT92Eie5jDLv1WIxsyWZXGmqZz2XOpExuj//fbIfZE07J36FEMxnbjcHQXGgMr0BBoK+lFrCXIK0re+JQzgaQzgUQ6iqnsMMYz/Wi0u3B663vgN8MFYSy6nikyCtlgHsNo9nUk3XE2tHIGdgQhsx0RtRa2EYKryPuchkOLSsGGgy73bDYeywGVUdBq4aXdt5HFxnhOtRPFZGYIk5lhHJx4hl8rKB5IifhXoTmwEqubzkXIbjnumJZho7fhHPSEz0A8O4p4doSX0dQ+XtNcDvo+Ni9VzjPsqixa0ISR8VHeHrFXI+JbjYQzioH00wiZrQiZbWix17ExTddivXE1D0gQWZVEDP0YU3txAI/yoAH5l9fgMoSxIldWKC02Vjhv+OFDGA3T+3d0ts+athBFMhtDWsWQyEQxFu9HIjPOr+k+sN0GLkeaj040Gt2ImGsRxwjG0cce8XV4a1nKTVg6yG6tJtu1ms6lmlm2hvTo/ih8Vkqrpug4WW/boxlPKo7jR0rvP7j3UMntDY2lRxIjGpVvnfr3/hcGPakp6pRAdSqqc/2PTllZr+Ca9qQqmtUoIs/e327Mwk2bSE6mtKmSvCjr2j7Lk3q5To1Vp6Crw6sq+FwK0Dqly6FXqXNxPFGNmnsiEYMXbNtbpyxfBgkksB9Pw0YYLViPrtDZyI4DE4jPe02jqQHufK7s2gJLBRakWnpkz4ina5rUbE/E5lGSnoXPFyibaqlOaVb33f5Q0NPxdWaJTpFcp9Sq+106BdpkchJeIK8NYyhkHSCbzc7ZVutUuHXo1MLnQvdc0anp6xTAdVkldPdlTFMfdd/rHwh7uo+z2fmvBRlJFC48bryOUes37L0LmM1s2JEnkIyQzvA2rGo6E7HUYQTTEThGhkUEdfdZdKC4TvjVSrTAwf4Du5Ay/gcZYwo+FWbvYWt7C6IjUzBUzluY8xLm1oaaXvP7Utum953xv5Rb1aca2dNYfE0tT2U5SyS7QCbRyAbngHoMEziIAFrhRwMCZhMixgZ0WqcjhDa4ExaSSBWeN+RB9aETjZh7DrHuOaqs0tuzmdLPS11bqiOvFE8e9IA/gnb/JqAhN2BA3vTZId+6tncqmlfatuFDFyK8TJ8rkshkqG4YReUcTLloTNJ7mz8hmtCOJmwqOnYIOYVy+mUJHLunQujmhcZmUogiiHY+ThapOctY176P7Jutwk11pxU+1QwfetE8495x3CSSbozrX97jTB7omHGQvduOmcRK50IEVCsc5NqZoX6dur/H+1vTF0PphAaIj5XOAqLrh8/VNurOKaDJxqLrN+aR8HmhUixbQ1qoX/gxachQWi1DHcVunIso+tCFnQv+P+qUvT72MLZveFPOWJj72SoscyRd+OJCHkAyNFLGGJLGOFIYR8oYzxkzqgXbQr+LgNGElIqxt7RRdSNsdqKzdTV7kClMtwc7PH8vhzOT3zGbC0km713GmOTzaVCAlc1AGbk5q/l5q/y6sI28l1kopKCMY9uP7Zef/0rbMjBgozf1Jv5d5bhmaSOGlBHldZbEtTDGYcqbjd+FZfjmHICqdcjAodDuckDXrFR4t20mYZWhrMgTHUIHFgsy1m2EEJ4VJdCMNWhWazikfwyvYdh8ESPYjSY3t92AzAeejW4gtZqgQbpqyt1M5yPMjxjSwrLDsBSM7PLsdNQT7diGo9iFOI6igVwXC2Ao/grPKetq3QAYYkXXO6Y84bTkjM04e25nqjEvhLyXeco4wsZy0hhjgzmDKfjRjIBqQVC1okn1IohWDm0lQmYukipktHE4baGcyhyGTb/Hr3J+vZDpwFFW2fLfUCjukO8ZDPmeR3tme8HIplEbWpPiNXk+FwJdr4O+h9jjTf/nVxG0G1umvdCN4kUrE5pggZqHwsVXuGeiE2cgiVFMmP04YP4abtApeU/zlAjVjFa1ERkkkDYmkEaMPdt0P0ewHu3YzgPZy41spnTEUzUhc6RrE+lmCIKwaFAo3Ii1C1ljChnE4RoZtDpb0eJuKITc5ZnCIHdIw/OEKuZx3Az2RR/D9o5rxBUpCDMgL2rajCFlRZE2o0hbMQ5/tlWAw6jDzgqEnW60YF3B6NUxgt/gCJ7n+zXAnuBWNKpV6HB3sOCRV6O81qDf3ZnZiUH/4zgYeOhYSDivDb6uEecUtDgbteJX5P1OGEcxaD+Ndmc7t395gkbjIv4aYTlA9S6EdoTcdnTiTCTSYyWj8ny+EKaMwzzNwkcK4qqJldnDaOepAePYi/34FQ/i0PbGdDtPKaCpGD5D1MUFoRRiSAuCUHGo4zhuvs6dzXFzD1ZmL+JONz3qh6zneCS91dmEBIZ5ZJzmutFI+SpcfJyBrePQ5AuIBHrR5O+q+O8Rqh8WGuJ0PXMbhpWAPJNJm+b/ughlV8z6jGq9qojBmfcUp8xcSHXCGmXDmQas/G4z/E4EQacdLdmN3Immc6DBrbh1BFPWIRy1XuQQ6UZ3FRvHWSOOfutMfK/uAAAqPUlEQVQBdOI0dOMcxHAAw3gJG3EN379Z1/t88eUAzY9emb6keNu025O8zGPWa+jz/xxd2bM51JbCthPGKJLTC11X8tqvyO5kRWhBKG84eLBkBAZ5sFvUBl5mkheY68CpHAlGc/Mprdd4Zj/SLondxViEzW+SIGAuFRmtm+xuNNk9UnhlQsTGahMxpAVBKBvkjYnabyBljvH7FrUJTe5qDFnP85xFmmNGHXAaDaeOJLE6ezmi5hs45Hss9x6XIoAWnhtGD/6F4rcaMJLs43nSQn0azklzBAlzGAnzKDJWDCv83XCtbq57lhuE7YZhqxAsFSoaoGED1Ihz/bWUH7YKs2eWDOI4Hc8azqW1UTZcQ/GauqsmiVApa/q9yR7fhG8IKWsUPpdCi11Eg6/BVg1wjBQvrpELMSTDNuR2wlZBNmTpHGk/nxvm+8PnNsBH71UD3zezISOd0unQvUZzavPGM51XwG3h+6sx0wu/eyr/5pm/d6bYGHWim501vPj8AcSNYUwYAxwiSudE0MDWON7AYTyFdbiS7+GaYZFn+fjQwOVH86yP2M/gCP4XAdWEoGpDWHWgzd3M4bXL3XNfVchMLw+XyszNwcYahBty4msEqaCzUe3GCus3ph7kHOFrwhdzirpqphZ6BRLaXZssW0M6lZ6Ca5ZWA5xL/VSn6KxDt39BOXYWOnVHnWLt0b4RT9t9fm/eF50i58TR0kq/c6nc6tRsdWqmOuVYnSiE3x/SbA8fpyZKxwg1eguRs/2mJyXm8cGcsbhQlWSvCta6Oqo7vm77XJ/pVDwDwdIhicHGrjkVXElAKJp1OA0LdfQH8SSO4BkOFdtiv7MgnONaxY+1EM5Au9qI37j3sgFDXrGZaUVCGoX0mdvXt56FI3t3sVHeglM9KcXHBqdKbp8aLa0YnU4nytJ+zFVm2vKfyni6z3TnpFN6NsZMT21auaB7luoMGbS5eafTnlsz78Wlbbwnvzctk9fs7TOH2Igk5dqwuwIdzmkIOq3IuK9h2LcfQbcdaXscUxhgY5kMQ/LakNFD30kCWfSeDESSy6Kcr8ogrzHVzQ40YhUbog4yHCZNERYOEshMv6ZtlH6Iwpw7sJn3tywyxBV7dshzS8e3VJANZ4K2x+0jPMWhA9t48IjOLW1O8n00ZR5iQzZtTPF5kFI0GdVkKPN8ZGOCDf78fOSGbA/Ps7VmCBPR4EIpe03bJhtkAq5Eo1oJqHP5OtF50gAFiRqtxPn8G/P3pWXZ3rJfzKOsq1N6Xvj+x8/tDDQkkfYrzwrsOsVlQzOfe+a93I6taHZW5/yDWfs4hW/Cskv/Np2omGF5ez7p2hbd81tXZjq8Ks7r2htd++TzBT0/R33B0te0IRKAzw0tONOB0mQimJqMevoNqdRkWYSvdNda94wIBBo97a87/szrwFM5SP+APNLNuX6mqy7Ewcn/xcsT96ItsA5GwMfPeM5RXlh8cBPGdN5yH4eQ0zpfTyzH5+kapabSnp+l/Bs19VIQTpZla0gL9Qv195VrlOxACpWDR6zVJKvykrYpGSP5Ee42c2PBiNbhMxpwKt57wt9PQiqn9l6FZ/p+gFXdG2H7pHmrdshoTVqjSJJX1Rhhjy4Zmrl0Q2RQ0F9zej39Wk2/NnL7+FQT2rOnIqjaiw0WQ6ElvRWBzHZ+S523PGywU6ocTMG2fGzEzhaIyoWFq3nnDB875vGdaTo/muOfO1YxlIO2Ed1F26ijSmScYuOIcv2ykY0JNtopNJO8mqUMtHJCxn8TehHBGtQqyjEW3R9FdSmfqiifIklYOrg/IJQd07Cxpuk8dIa2IJY+hFQqyanMMirBHmt6TQsNJNKaBxw5d3mG25aIuRpNai0a0VPxvO+2rwaUzFWu/1o11IIbvwqQnqYgCGXh+dTXit5TvlDyLCfVOIbcl9FtnVXxK90c6kJ3ZDP2HnoCW9cWz2EUqoO4OYQJ+wBS5igLXQXdVgSdNrRktyCQPN6g9eqNWQhkkNO0AVoszWNwpuG91JAxTyHn5HEWBEGoJkJ2hJe0UdrDny4RCZZSE4i6+zGsXkQ/HuQomIixFk1YjQRGKGFeITKtXnCV4nnS1XQ+wvyIIS0IS0DOI0ahoVOcgobWWcQLXXxayKdBnXnybATRvmDRraViZ/BWXlNY6qizFxPuACbVYYSNFeg2z1y089jU/SY81fct9K7Yhia/CPlUE1PmEQz7n0NbZhtaM1umQ5WNmsnzKQiCIJw8FLm2wtrBAmdZlWKBs5jajwE8wZFKxFq8hedqC0I1I4a0IFSYCfMgh606RnLaaI7zgyIvpkXGBCV5ovyrRC78KcWGNb0ewotsdkewjhc/IvMa1TQ3s1KGN4Vwx5yDnA7DbzYdl+Ilro5i0j2ElMrNiWNJJPcQMiqOdnMLbKP03Ldy4bOC2LTqYrw28DB2rrtecrEuEhTanDWSvDhGosTrBFwji5XJiwpCc4twUoIg1DvSDlQ1tkGZ0zeg1diAEfUqDqpHuX+UQul59Sc69avaobHkahpPrqZzqWbEkBaWH0Z1pREetXYj7HajWa3LqfByOGlwXkN3ZmgpaebGQKO1jyFrxtnwzod75sQ7AjBMi/+HhIjIeKcLQQYLhYOSiJLfjRRS3pwMRzIvYiS7h8VD0mqCRZb8RuP00sQjzZ32Dn5vuj5Om5FEFDG3H0knirX2pag03W2b8caRxxCLDyHSIOmwygkN0lCqpLg1xIND2WlDmQxpmt9Miti0JqVoWih0O6eUnRPaWlS1YlN60HVPFT0LhCVC6kBNkFZTGFTPYIPxfxBSHWV9VtRCxJOkv6pNlq0hTWqilnlMGdCrwt/J7q+bv+dV5dSrKrhOhdSriviJYGtUSE9EoZJTJSl/kdBPNptakIJy0K+QTQAq7fN0LXTnqZujuVAsK8Qj4qR2SyrB02cxrUSsrxNKHSv7AJrQiR285D3avBgk3JFbjJCLrEqi0ezEGutCHoGNu6NIuCNIYhQjTh/ngwxazQhb7QhbHQgEOhH2dcBvllbvplRS0fQB9E89CVe5aHZ6cDjzQu684WcBEeqlnNJ0GRtSKXcCKSeGmLsfKWeC02TQPpR30ucPYTS1Dxs7LkFjuLRHkpSYvVBKdZXO+dX+X6AluBruWAjj4xOFz0b7SyutT02Ne/rek60TC2lXdPW9XB0CXb2bSy2e0kod9b3EZR7JrssZylaEB3ZoOkLR4FBOK6zE+XtTbtYpTM+rgm8oBIIZuAH/CZWlri3VqR7PNWdb9xscjTqwV3TtuN8f8HSuts+aU5V/oXXR0ugGpZLJ0scZ8Dbgoc9cUOI5Gs5AkxRjzudfuZ6lunPVHX9ycsTT8b2q6Xt95uuzAei+1/XUx9Hdf8mkTvG6tHI2o3FgZvxA7GCp7y6PwJXX/qH343vbX5fhRKdqrstYolOKz2rU93WK83Nh+Y+VwUhmFyveR3yrkElm5u0XeXkmZzOaRkAQTpJla0gLtUvM2ocR/25+Teq9AdWMAHlT3QivyeOVCxfNLcokxxPldM3NLaZMxQo2L9Uwr7g1uxkDwYcxhlcL29Zm38pqvidCXiRpNsESD8+IFUbE6i08rCgsm+Ywx7NHEXdGMBB/DlPZo/xZg92BsN3Oa1rI09w/9QQybgJrGi7gPM3jyQOI+FYjmjnIBjIpcVN4N/2fzzw+ZNsXsuGqLJLZCTbiu7KTsE1vKdq80jf6BJLZSWzoeCtUcunLfzlAIXbD/ueRNibQnjkVDe7Kwr1FofSCIAiCsBBi7gGMq/1wVYYHIVxS90aGs35sD1xbtxdRPNK1iRjSQlURtfswbu9Bb/IyzpFKoaOUJzZtRjFpDWDUtxtZI1UUOkoeSNeYzudqZJAIBpE04kiYlH/VKhjY1vR6ptHNSXDMEc7dSmHSHH7qHsv3SkY7pXLyuY3HzQVeKEG3DStS5yDm7+O50gR5kpdi3halmMh5o9v5vT1tYKedOBvXZFSPp/txKP4cG8C9DeeiM7i54MVoMDuxCjs9fqeNsK+Vl0pzZOIVHI7tws6V7+Lv9TiQX3ekjRii9j5kDRK9yy1Uz0NuJ4fW0dQAyss9aR5CW2YLup3zFzc0WxAEQahpyEAecY85Eo66v0GPeTZsMwjLDPA0MXaCGKGKa6hUM2JI1yZiSAtlgfPBmuNImzEWyFKGw6G+pE6dM3Bzr3lb/jMj/572yX1Oc4hXpS5hI5or6LSx3OAW51udK8QsGMqFdrtp8ko7OfEuMrTZ2M4JeZHoEb224UNH5gz43SYOi86JIyWRNXNr+j2TZgopM4qw04XWzCbO33rcOSDL539ceOs0TU4vDBfImJNwDArLLh3iuFT4rTD81hq0BGpXITOaOIxXhx7E2b3XwWYvqZjR80Ee5inzEDozZ+ZE71QYysqFcCeMoxg393JaklMyb4cmok4QBEEQjsNx0xy9NuGOYNB9DmGjk1NcrbXejGZz1Zzh4+VG1DKESiGGtOAJMniTxhgbmOTNIgOTvMWE323mhQWwVIC9wQbFXSuTQ7TJk2XyOveawoLz2/PbyhKKPd1i0rEM2JyXlozx/HbdnDIyIvIG/EwbjObekNEds/fhUOAxFk9qyW7m30aCS3HrCNLmOP8G2o++M+fd9hfmedNrmvedZ8I4gBa14eR/q1Bg95Ff8IDASHwfmvwdaLQq7wGvdUgEzzWeYxE6MqQJEsKjgaUI1hftS6F3NYf0nuoe5dIzRSpCPeNxGrlwklBk25HkLoyk9qLJ7oZSJlqM9QgZbei2Fi8V5kzMMuoBVQrxSNcmYkjXifFLRhwtac5bTK+n2DNMRmbOmLXItD22Lhi8ZBymOLw6ZY4jgwT8qrEwXzmc7WLjmcJBF1vESwd5zsqdR548zS3ZTYhkT8GEdQBD/mfZVA87K9Ca2Yyg287XjQTEyJgm73dOCIy832l+TcraPr52jWhTW8p7ggJ29l6L8cRBjCcO4WjiNWRjcSAVQnOgB83+HjQH9FEN9UKWpjxYR3nwK23FeE3TGKieHhPCWz64jsyRr3ckkkJwS+ucCRVgIjOIl6M/LLwfy+wrvB5XfexY6LROXfRrb/v0YpDVghjStcmyNaRTySk4pvfWU2fczaXI6kXFsVyKteQ3mgsy52LGfoyYv0Eak/ApEqhqhF81sCHc4Hax5zQXfu1Mh15Pvy5sy/Ca0is1uavR4ZzGne2iOZLGsVPRGdJ+v8/TtdBdO10Z+HzFyrS+kAPHNuCmNEqUhuVJDXK2umobtqAtO8MQpq+Z8VWmWdogYe984c385+N1oEGnrEt41SZNTZZWuHQ0ap0zlTcXsn8pte25VH31gzSzj9+AMDYhEtoMw59FLD6OROIo+o3nOVSZBjto0CPktiOo2jk1GEdKeLzWcylbe2EuxV3ddwQC3pSYZ/62w+7TOIoXEUQbeq0LETY6ODIEgfnLYPZ9Nt/36lSJg8HSirI6dMfRKzdPbzcUrIyLdDoz5/5eBwC9nueJ4FWJWdeWen1uLfw+O7Hnlu58pqYcT5kgvChY2xmFTKZ02zjXfe+1/HX1S3euumtUaXVur8fRKcuXK+OH1+s21/mXMwuJF7yWsS5jgs8X9KTCHWj0eXoe67JikCioFxLR0m1dMprCiOpHA3pYTNVFGlmkeNqcO51dBI6FjJOe9z6bt30XhCph2RrS9QoZwVHjDYyYuzlcs8s9G2G1Amq+ToFEvgnLDIqmCGMF1/92lUs4lnTGWVwuYY4gavRxdEZAtSJgtiLotLEw3MyUa7VOFgmkVRQJjCGpxpDEGF8X8kDbBom8VP8ovSAIglAbJNU42oxNvOQR43dhuMrgpZo85ML8iCFdZUYwcSJzhWn+4rixB6Pmq6y2u8p5E0JoK3wu94NQ79A95aeoDLcRze5a3saq7cYo4hhCzNeHIfN/eT47zYOnefWs7l5Qe89tp+kQ1QaN9FOucDKUUxjndRI0b99AULVyDnMSemnDZgTRklNJNarngV0ppN0TBEFYPOj5047qm7pm1MDzjvxdHgNhKko1nUs1U309wjqFOvR9vvs4/IXCsnNzlac78CxelVvn3xfSOMHHuZTHjTdYXXeNcwUCiKCuMYoip4U6ZSF1gO4l8lgHnFZy37LXmrzUSXOMVdtpbjvpCeTmvKeQNifQnFmPNrWZ57wvFWlMYNx4HQljlDsu1H6QsUxGMq2bsY5fk3ZBpbQIaoEa6DsJFaYGNIaECiN1YPGgKLD96kF04Sy0YVPJsPdJDOIQHs9p9Jg2LO7PFvdxYZqz+rq51+Sw5dfT2xaajtHrVA1BQL0b0hP2QQQRYfXZpezwzgcZzTSHOWrtRdhdgR7nfO7MK0oZRSmVzOn0USxgNb0uvM8gg1yu5PXO1ctSLOhEMEwlPeh6hwZTrBP0Wqsm+J2mkp+TUT1u78U+3y/Q4K7kXOO5Qa+caB/dufmHu8EP+rxi/fEifl6jTqitoHzOMbMPKUQRUaeg3d2KABvMIdjW8glJLxfmsn3CCQvlRNoBYXkh7cDiscq8AK1qIwbVsxjGS+jCTjShl59gFDlF04ro+UXPyF68CVk3Pd2vLe7j0sA1idvm0qdOL7TdImfTsfd0XM7Okje2FT1/j73+7Gc+hYaGhprwSJNIbjWFU5dbtHe5smy7GSlrDElOSxTj96Qs7XMbOcXLsZRLdGNRR5de5xbTmP6MhaGMwnYX/sLr/JJPsLQQqAGhnK2UR5jSRtFrWlNDQecUUM3odHJpAXJHzXujZ/QCZldqqeSCsKjQvdqZOQMd7g5MmgP8MKfuAQmqKIMe8pmSAn65XOm5XOP5POpELkXcMcX8mUZ3ziC3C20AGdEkjtbmbuGOyUJH4gVBEARhsSARy1OMqzGpBnFYPYODeIQHmUl/hKKkyLnViFUcNUVPxlJ92oWKjc10POWN69xzObfeuGkT4vE4YuO5NK2CUG6WrSHdkToNtpnzRNMIGIVkZswJZM04d2pJ0ZXW3LHlu5c6uLnXtG32++JtM/8vb/iaMwzwnJGeN8YpRJT+z+c2sTHvd0g1exVa3C2ct3imajB1yE9GhVKv8u0NryqtJ6IQ6/dP52yeRaChtGfNtEoPWvhCxd9rNaTgpi2YRunj2B4VLXVkNYrUOkVLpVE/LRdzqXanNSrcSc3/6BSIs9mUp7LXqZNWOsyKzzNLar3mSSnWZrMapeeMiyC6Tko9mTsWtnm8an7e0Cbjm9ubnAHem9nI6dPoWDk9BWdBZeNV0TncUNob7xmNuGo6nfB0nrrfNS+GguPQ/2cXpc6Vq+3NYXm6Rj5Nahev7biuTpRLDVl3Prprpy+zhauLzzXvcK7rozuncinzZzLeslMslVJ1pVXEvZ7/XPvr70HHU/nr1OL1qTy9Zd7wWsa6701NauqQ3/Wk8h0fTXg6vq5/kE7Hi94bCKAHF8FVmZJRWAnEtL/NW1thQLnU7/azsT5zj2uvu57Xjz78a1Q7kv6qNlm2hvRMaPQr5NLSMW8D57VRdzll0jFjmw1uw4XjOoXXlhvkFFJeQzkFQVi+5IbfqAkmDYQZH6ilTeUiCIIgCOV9zi0ttRDAKYZ0bbL0tbvGyRnHuaaigALM/GhtLdy9yw255gJ7TGTgqt6ROV6CR8epsAyROiCYMjAtVAgxpIVlh3INsLSj2FF13XHiYBGhrlG5qG6hjnGlDtQ9UgcEWzP9pZoQj3RtIoa0IAiCIAiCIAjCEiGGdG0ik/AEQRAEQRAEQRAEwQPL1iNtUDJ3jaDY3OqLFTypOZQIvaqrelWI9aoSac2hYK1T69Spmer21/1mpYnJ9YeCpY/jFCtS224GbsaBLm2gCqmyqGFnEqV/bzatuT4alW8dOpVyw6O6OGFplMq96gx7VSHVfa/X36xDe00tB6aflPKLmzivys1eFXq9cmJtVOn/cRxvMay6+zKZiHu6Fvr7uDyqvrq6NW+baVA+eVU47lxtWjnOfy4qrRheLryWZbmeW44mo0E5FKNpnrxurvxcgn4nkrmiHNdC99vKJT7otS8wx5FQScp5/enamaZRsft1rna8HM8VXeYCXZ1wXZ+nzCG6PoU2UwpyGXEWymw176Lv0Fw6XcYP3f0xXxnUQh5p6mrOkXxl0ammc6lmlq0hLdQxOf03oZ4hA2qpz0FYcmqg7yRUGIMNKOkR1jOiMyXUwmAmJ9mtoqaq+q9YdSCh3cKywzDJE7XUZyEstQFlFOWUEuoRU4aK6x6pA4LUASGbKY5cFIRyId0MQRAEQRAEQRCEJYKc5tXkOK+mc6lmxJAWBEEQBEEQBEFYIkjLoZpCu3XaEkIxEtotCIIgCIIgCMKyRGxCoVIsW490ONQCnxXUKkDrhAfKpTytU4jVKRF6VfbUfa9XJVAdtq1XZfT5vCk26tApQupUsheq3GymXZCQt8qWVjHOJLJlUYzWKlqGbE/bdcexNYrXhsfznAtHozCuO1egtHK66VER2dWoh3pW59ZcI2WQartR4trqVE7dsijcem9vvCltE5lMpqIK45VWK9aha6MyGe/XiDEUHOeYIvRS/a7FwOtvK5cytNfsEV4py3mSZEYZVecqfY28PtuXql57PU+vlLNu0fOmVBOs+w6vKtzlwnsb7k1lX9MlKlsmBd32UCji+ZlZbswaUJyTPNK1ybI1pIX6RbmGDD/WO2q6Hgh1jXuCNriwfJA6IEgdEGxfudK+VQ4xpGuT6h+iEQRBEARBEARBEIQqQjzSgiAIgiAIgiAIS4SrDF6qhWoSPqtmxJAWBEEQlifSERAEQah7yqmTUCkktLs2kdBuYflR/e2lsBhIPah7akBfRqgwUgcEqQOCTvBTEE6WZeuRtn0WbMuC4VF116tys1e8Ht/wqIZcjSiPCs1ecZ3ia2oHHDiGBTflTRVct113/l61Jr2qkS/GQ6TSipleH15e1eV1WEEXtqGQSlgVUTcul1JuuX7vckanoLuQumXYlVATPvHzqZ7v8HYtTHNphHp0v9eLqrLtV7Btw/P1LJdys9cyq0bV66U5fvn6Prbf0NaBcqBTt/Z6jZZKNd/r93rtNxiG5fmzciunZzNpVDvika5NTrimTkxM4C//8i+xdu1ahEIhXHTRRXj66acLnyulcPvtt6Onp4c/v/LKK7Fnz56iYzz++OM488wzsW7dOnzta18r+uyhhx7CFVdcgba2NoTDYWzatAk33ngj0unqvxkEQRAEQRAEQRAWAo25VdsiVNCQ/qM/+iPcf//9uOeee/DSSy/hqquuYmN5YGCAP//85z+Pf/7nf8ZXvvIVPPnkk2hoaMDVV1+NZDJZOMYtt9yCj3/84/jud7+Lz372szhw4ABv3717N972trfhnHPOwcMPP8zH/+IXvwi/3w+HEoMKgiAIgiAIgiAIQi2FdicSCfzwhz/Ej3/8Y1x66aW87ROf+AR+8pOf4Mtf/jI+9alP4R//8R/xsY99DO94xzv4829961vo6urCj370I1x//fW8bWpqCjt37sSKFSvQ2trKXm7iv/7rv9Dd3c3GeJ4NGzawcS0IgiAIC0GmyQs1oDEkVBipA0It6E5KaHcdeaSz2Sx7hoPBYNF2CuF+9NFH0dfXh8HBQfZQ54lEIjj//PM5nDsPhX5v27aNP7vggguwfft23k5G9OHDh9kbLQheUZQ+oBZaTaGiKKkDdY/UAUFkCASpA4JZA4pzeUO6mhZhfk6oZjU1NeHCCy9kz/OhQ4fYqP72t7/NRjIZwGREE+SBngm9z3+WD+0eGRnB8PAwh27nufbaa3HDDTfgsssu4znWv/M7v4MvfelLiMViJ3K6Qr1B8zqkAahvFKTzJMDNykWod6QOCFIHBNu3NIKJwvLnhFW7aW70H/7hH2LVqlWwLItDtMn4ffbZZz0dh+ZO0zITOt43vvENfPrTn8YDDzzAc6zvuOMOfO5zn8NTTz3FxrUOEjkj/u//uwo9K/X7CcuX0ZERBILB4+qVUD/QtJFUMom29valPhVhiSC15MOHDmFVb6+UQR1zoL8fq9esWerTEJYQqQP1y4ED/bweHhoqshGqkWS2us4vJZJUC8JQJ1lq1GElTzEZt+95z3swOTnJ3mWa0/zcc8+xKnce8jDT+3/6p3/y/D1jY2PYvHkz/uzP/gyf/OQntfsdPHgQq1evPuHfIwiCIAiCIAjC8oJEjXurbHCVRJjXr19fFLFbLdBUW5quO3sqr1DGPNJ5jzIZur/85S9ZIIwqBF38X/3qVwVDmoxt8iz/6Z/+6Ql9D4mRkbFOhvtcrFy5km8UCj83RGFCEARBEARBEOoW8hmSoDHZCNUGGalkrFZjel/KliRGdIUMaTKaqWJu2bIFe/fuxQc/+EFs3boVN998MxuwlGOaQrMp/zMZ1pTmiirwO9/5znmP/S//8i94/vnneW40ebZptIZUv3ft2lU0l1qXxL3aRpsEQRAEQRAEQVgaSNi4WiFjVQzWOjOko9EoPvzhD3ModVtbG971rnfhM5/5DHzTE/pvu+029h7feuutGB8fxyWXXIJf/OIXC6oo5513Hqt//8mf/AmLmTU2NuLUU0/l1FkUHi4IgiAIgiAIgiAINTtHWhAEQRAEQRAEQRDqiepPrCYIgiAIgiAIgiAIVYQY0oIgCIIgCIIgCILgATGkBUEQBEEQBEEQBMEDYkgLgiAIgiAIgiAIggfEkBYEQRAEQRAEQRCE5WBIU77orq4uWJbFeakp1dZMBgcHcfrppxc+DwQC+L3f+72ifSjt1mmnnca5pWmfVatW4eWXXy7a56Mf/SgnHKfl9ttvX5TfJhzj4Ycfxm/91m9xjnEqI0pxlieTyeBDH/oQl2FDQwPv8wd/8AecEm0mo6OjeO9734vm5ma0tLTglltuweTkZNE+X/3qV7F27VqcddZZePLJJ3kb7UPp2r73ve8V7Xv99dfzuezbt69o+7p16zgfulB5BgYG8Pu///tob29HKBTiOvDMM88UPqdkA3S/9vT08OdXXnkl9uzZU3SMxx9/HGeeeSaX29e+9rXC9gsuuIBT683kK1/5Cpf5N7/5zaLtN910E970pjdV7HcK5eWuu+7i8qY0i+effz6eeuqpwmevvvoqLr74YvT29uLTn/60XPoao5JtAkH3f6ll9vNBqI/+AfHrX/9aWy+oDyosLmIXCFWJqlI++clPqosvvljddtttlJ5L/dVf/VXR51u3blW2bas777xTPfLII+q9730v7/eRj3yksM/27duVZVnq7//+79U999yjGhsbVVNTU+HzaDTKn3/uc59Tn/3sZ/n1xMTEov7OeufnP/+5+uhHP6r+/d//ncvvP/7jPwqfjY+PqyuvvFJ9//vfV6+88op6/PHH1XnnnafOPvvsomO87W1vU2eccYZ64oknuC5s3LhR3XDDDYXP9+/fz9see+wxde+996pt27YVPrvgggvUH//xHxcdr6urS61evVp94xvfKGx74403+PweeOCBCl0JIc/o6Khau3atuummm9STTz7J1/6Xv/yl2rt3b2Gfv/3bv1WRSET96Ec/Ui+88IL67d/+bbV+/XqVSCQK+1A5/+AHP1D/8z//ozZs2KD6+/t5O7UlW7ZsKbrg1113HZf5jTfeWLSdzuP222+XwqkBvve97ym/36++/vWvq127dqn3ve99qqWlRR05coQ/p7bk7rvvVs8884w655xzuF4ItUGl2wSC2ndq8w8fPly0zPx/ob76Bw8++CB/76uvvnpcvXAcZ5GugpBH7AKhGqlaQ3ompQzpQCCgrrjiiqJtoVCIje9840j/94EPfKDw+c9+9jPe9tWvfpXfHzhwgI1naoRpIcN8YGBgUX6TcDyzH5SleOqpp3g/Kl9i9+7d/P7pp58u7HPfffcpwzAKZfnSSy9xx3lycpI7YOvWrSvs++EPf7jIqKLjUWfsjjvuKDKqqHNOdU46VZXnQx/6kLrkkku0n7uuq7q7u9Xf/d3fFXWqqHz+7d/+rbBtzZo1XN5U7lT+ZFwR1AGnOkOdoZmDJ3fddRd31mcPnlBnSqh+qBP953/+54X31NFduXIlD5IS1MEmIyydTrORRc8DoTaodJuw0OePUF/9g7whPTY2VrHfJZwYYhcI1ULVhnbPx/r16/HEE09waJfruvjCF76ARCKB97znPfz5vffey+u/+Iu/KPzP29/+dg4F/+lPf8rvKcSPwja3bt3Ky1vf+lYODxKql2g0ymFVFKKVD9Wj1+ecc05hHwrpo3D+fIjWjh07eBpAJBLBqaeeWhTW+eY3v5lDPg8fPszvH3zwQVxyySW44oorOKwrD22/8MILOWRUqCz/+Z//yeV57bXXYsWKFRxuR6F3efr6+jisjso5D5UthfJSfchDYZ7btm3jzyice/v27bydwnsppJ/KlNi9eze3HRTyNzIywsfPlzmVN5W7UN2k02k8++yzRXWC2gB6n68Tf/M3f8Pvw+Ewf3b11Vcv4RkL1dQmCMuDcvcPhNpC7AJhKbBRo1AjSA/Tc889t7Dtfe97H97//vfz6zfeeIPXNO9lJtQxzhtN+c5yf38/bNsWI7rKSSaTPCfqhhtu4PlOBHWeqGM1EyrLtra2ojlMNB/u85//PHeiaf5cHjKqaH48Gc10XFpfdtllOPvss3H06FHuoFHj/NBDD7GhJVQeune//OUv4wMf+AA+8pGP4Omnn+YBMSqnG2+8sVCupKEwE3o/s8ypvGi+OxlZra2the00n+68884rKnMaPCGdhYsuuojfU5nTmoxo2i5UN3SvOo5Tsk688sorhYHU4eFhxGIxdHZ2LtGZCtXYJuSh9oAG22dCA21r1qyRgqvD/kEecrrMhPqVu3btqthvEU4MsQuEpaBmDWkSFjtw4AA+9rGP4YwzzsD3v/99HqHeuHEjbrvtNk/Hkodk9UPCItdddx0LylCH6kQgkZrZ0IOTBmPyRhUZzB/84Af5YZs3qug7abCFvNdC5aEIE/Ig3HHHHfyeBsxIJJAEwajT7AUymmmZzeWXX16IWqEypvcEDaLQ+5tvvpnXNDgnLB9oUESM6NpjMdoE4s477yzyahMSpVa//YM8jzzyCJqamgrvKaJJqD7ELhCWgpoM7SYVxp/97Gc8Mv2pT30K7373u7lTvHnzZh5VJE455RRe79+//7hRS1L1FGrvIUllef/99xdGm4nu7m4MDQ0V7Z/NZrmO0GcLgQxkikygEWYK8d25c2fBqKLttJDBTWGCQuWh+3N2yCWFY9JgBpEv1yNHjhTtQ++9lPlrr73GSsD5KISZhvTrr7/OA3UU4i9UPx0dHexJPJk6IdR3m5A/Dg3Gz1xoUFWo3/4BQRFKM+vE7EhHYekRu0BYKmrSkI7H47ymeS4zofc5DQLwXCriS1/6UuHz++67j8P/rrnmmkU9X+HkH5KUxuS///u/jxs1ptBbSnNG8yPzPPDAA+zBWKjhS0YVHf+73/0uh/jmQ/suvfRS9lCTYZUPARcqD11rmrc+EzJ6850X6tRQJ+hXv/pV4XMK16WwroXOZ6ZoAyrPu+++mwfXKJSfoOgECv/9+te/XggBF6ofKksqw5l1gtoAei9z3GufxWgThNpjMfoHQm0gdoGwZKgqhRR1KZ0JLXSa73jHO/g1pSggSFmZFDkp/dVDDz2kbrnlFt7v+uuvPy791T/8wz8U0l/RIlQPlG7sueee44XK7wtf+AK/JtXNvLpub2+vev7554tST6RSqaL0FmeddRYr8j766KNq06ZNRekt5oOUuKkuUWo0SqGSJ5lMqmAwyNtJxVtYHEh5lRT0P/OZz6g9e/ao73znOyocDqtvf/vbhX2onCi10Y9//GP14osvcvswO9XNfFx66aVctlR/ZvLmN7+Zt1911VVl/V1CZaHnA93H3/zmN1mt99Zbb+U6Mjg4KJe+xlmMNkGX/orUnIX67B/Mlf6Kvl9YXMQuEKqRqjWkyUCmBmz2QrkfCcoTSbn/TNPk7ZQ/lBrVmbn9KGXBjh07ONUB7dPT08P/J1QP+QfV7IVST/X19ZX8bHZKopGREX4w0iBJc3Ozuvnmmz3nA7/sssv4uJRrciaXX345b6cclcLi8ZOf/ITvXTKMKGf8v/7rvx6X7ubjH/84p62ifd7ylrdwZ8cLf/3Xf81lO3PwhPjEJz7B2/Npk4Ta4Ytf/CKnOKLnAaXDmn0/C7VLpdsE3bNG2oH67R/ovl/6BEuD2AVCNWLQn6XzhwuCIAiCIAiCIAhCbVGTc6QFQRAEQRAEQRAEYakQQ1oQBEEQBEEQBEEQPCCGtCAIgiAIgiAIgiB4QAxpQRAEQRAEQRAEQfCAGNKCIAiCIAiCIAiC4AExpAVBEARBEARBEATBA2JIC4IgCIIgCIIgCIIHxJAWBEEQBEEQBEEQBA+IIS0IgiAIgiAIgiAIHhBDWhAEQRAEQRAEQRA8IIa0IAiCIAiCIAiCIGDh/H+Mr4kZb4YcBQAAAABJRU5ErkJggg==",
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",
       "text/plain": [
        "<Figure size 1100x540 with 2 Axes>"
       ]
@@ -2299,7 +2315,8 @@
     "map_plot.drawmeridians(np.arange(-180, 181, 60), labels=[0, 0, 0, 1], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
     "colorbar = map_plot.colorbar(mesh, location=\"right\", pad=\"5%\")\n",
     "colorbar.set_label(\"s-1\")\n",
-    "ax.set_title(\"CMIP7 tnhusscpbl on hybrid level 11, first month\")\n",
+    "time_label = month_year_label(ds[\"time\"])\n",
+    "ax.set_title(f\"CMIP7 tnhusscpbl on hybrid level 11, {time_label}\")\n",
     "plt.show()\n"
    ]
   }
diff --git a/notebooks/05_ocean_heat_transport_by_basin.ipynb b/notebooks/05_ocean_heat_transport_by_basin.ipynb
index f1b3f3bd..8849dbe0 100644
--- a/notebooks/05_ocean_heat_transport_by_basin.ipynb
+++ b/notebooks/05_ocean_heat_transport_by_basin.ipynb
@@ -14,10 +14,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T19:33:34.475535Z",
-     "iopub.status.busy": "2026-05-30T19:33:34.475378Z",
-     "iopub.status.idle": "2026-05-30T19:33:34.900372Z",
-     "shell.execute_reply": "2026-05-30T19:33:34.899996Z"
+     "iopub.execute_input": "2026-05-31T18:59:24.471963Z",
+     "iopub.status.busy": "2026-05-31T18:59:24.471879Z",
+     "iopub.status.idle": "2026-05-31T18:59:24.946167Z",
+     "shell.execute_reply": "2026-05-31T18:59:24.945701Z"
     }
    },
    "outputs": [
@@ -31,6 +31,7 @@
    ],
    "source": [
     "from pathlib import Path\n",
+    "import calendar\n",
     "import json\n",
     "import shutil\n",
     "\n",
@@ -50,6 +51,21 @@
     "if not DATA_PATH.exists():\n",
     "    raise FileNotFoundError(f\"Source data file not found: {DATA_PATH}\")\n",
     "\n",
+    "\n",
+    "\n",
+    "def month_year_label(time_coord):\n",
+    "    decoded_time = xr.coding.times.decode_cf_datetime(\n",
+    "        time_coord.values[:1],\n",
+    "        time_coord.attrs[\"units\"],\n",
+    "        calendar=time_coord.attrs.get(\"calendar\", \"standard\"),\n",
+    "    )[0]\n",
+    "    if hasattr(decoded_time, \"strftime\"):\n",
+    "        return decoded_time.strftime(\"%B %Y\")\n",
+    "    date_text = np.datetime_as_string(decoded_time, unit=\"D\")\n",
+    "    year, month = date_text.split(\"-\")[:2]\n",
+    "    return f\"{calendar.month_name[int(month)]} {year}\"\n",
+    "\n",
+    "\n",
     "print(f\"Using CMIP7 tables from {TABLES_DIR}\")\n"
    ]
   },
@@ -58,10 +74,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T19:33:34.901765Z",
-     "iopub.status.busy": "2026-05-30T19:33:34.901638Z",
-     "iopub.status.idle": "2026-05-30T19:33:35.027410Z",
-     "shell.execute_reply": "2026-05-30T19:33:35.026862Z"
+     "iopub.execute_input": "2026-05-31T18:59:24.947469Z",
+     "iopub.status.busy": "2026-05-31T18:59:24.947323Z",
+     "iopub.status.idle": "2026-05-31T18:59:25.091472Z",
+     "shell.execute_reply": "2026-05-31T18:59:25.090986Z"
     }
    },
    "outputs": [
@@ -667,9 +683,9 @@
        "    variable_name:          htovgyre\n",
        "    variant_label:          r2i1p1f2\n",
        "    license:                CMIP6 model data produced by the Met Office Hadle...\n",
-       "    cmor_version:           3.4.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-46ab0ee7-cb10-43e8-9389-40d123b25c17' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-46ab0ee7-cb10-43e8-9389-40d123b25c17' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 420</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 330</li><li><span>basin</span>: 3</li></ul></div></li><li class='xr-section-item'><input id='section-66b117c6-7adf-4b61-88e9-cc6318abc56c' class='xr-section-summary-in' type='checkbox' checked /><label for='section-66b117c6-7adf-4b61-88e9-cc6318abc56c' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.942e+04 5.944e+04 ... 7.198e+04</div><input id='attrs-105d985e-b04d-4990-b832-4e137729c838' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-105d985e-b04d-4990-b832-4e137729c838' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ff0f7eb-0f3d-47c1-959b-52b7c3505d51' class='xr-var-data-in' type='checkbox'><label for='data-0ff0f7eb-0f3d-47c1-959b-52b7c3505d51' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([59415., 59445., 59475., ..., 71925., 71955., 71985.], shape=(420,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.35 -85.19 ... 81.77 81.79</div><input id='attrs-22127d53-1999-489d-bd4f-17a42339283d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22127d53-1999-489d-bd4f-17a42339283d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ece235f4-d8f4-4270-97d9-d2df01f54269' class='xr-var-data-in' type='checkbox'><label for='data-ece235f4-d8f4-4270-97d9-d2df01f54269' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85.345169, -85.193054, -85.039757, ...,  81.732368,  81.771011,\n",
-       "        81.789879], shape=(330,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sector</span></div><div class='xr-var-dims'>(basin)</div><div class='xr-var-dtype'>|S21</div><div class='xr-var-preview xr-preview'>b&#x27;atlantic_arctic_ocean&#x27; ... b&#x27;i...</div><input id='attrs-1c5ad62d-cdda-4d69-95d1-05ec27a5193d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c5ad62d-cdda-4d69-95d1-05ec27a5193d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33f4916c-5238-49af-808c-3d03e3757bfd' class='xr-var-data-in' type='checkbox'><label for='data-33f4916c-5238-49af-808c-3d03e3757bfd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ocean basin</dd><dt><span>standard_name :</span></dt><dd>region</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;atlantic_arctic_ocean&#x27;, b&#x27;global_ocean&#x27;, b&#x27;indian_pacific_ocean&#x27;],\n",
-       "      dtype=&#x27;|S21&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-acb1be0a-54bb-4c15-87ee-ceeb38e89726' class='xr-section-summary-in' type='checkbox' checked /><label for='section-acb1be0a-54bb-4c15-87ee-ceeb38e89726' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.94e+04 5.943e+04 ... 7.2e+04</div><input id='attrs-a4dd8744-3340-4680-bbd4-b88625205382' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a4dd8744-3340-4680-bbd4-b88625205382' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0dc6f81-422e-47db-a3ae-934fa9c2a8cb' class='xr-var-data-in' type='checkbox'><label for='data-c0dc6f81-422e-47db-a3ae-934fa9c2a8cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[59400., 59430.],\n",
+       "    cmor_version:           3.4.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3f17e241-91d3-4fcc-95d7-43ccfb9d9db9' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-3f17e241-91d3-4fcc-95d7-43ccfb9d9db9' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 420</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 330</li><li><span>basin</span>: 3</li></ul></div></li><li class='xr-section-item'><input id='section-3b623170-fda7-439c-aceb-d90d37f9d0df' class='xr-section-summary-in' type='checkbox' checked /><label for='section-3b623170-fda7-439c-aceb-d90d37f9d0df' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.942e+04 5.944e+04 ... 7.198e+04</div><input id='attrs-4d05b193-33d8-4be7-9b6c-114b2b8002f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d05b193-33d8-4be7-9b6c-114b2b8002f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26d7f839-430b-4c32-986b-f9a96ef22519' class='xr-var-data-in' type='checkbox'><label for='data-26d7f839-430b-4c32-986b-f9a96ef22519' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([59415., 59445., 59475., ..., 71925., 71955., 71985.], shape=(420,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.35 -85.19 ... 81.77 81.79</div><input id='attrs-ca069a29-3cc3-4044-ad06-c4c728496ca5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca069a29-3cc3-4044-ad06-c4c728496ca5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f071094-802f-4af4-b516-99547d53b1e5' class='xr-var-data-in' type='checkbox'><label for='data-6f071094-802f-4af4-b516-99547d53b1e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85.345169, -85.193054, -85.039757, ...,  81.732368,  81.771011,\n",
+       "        81.789879], shape=(330,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sector</span></div><div class='xr-var-dims'>(basin)</div><div class='xr-var-dtype'>|S21</div><div class='xr-var-preview xr-preview'>b&#x27;atlantic_arctic_ocean&#x27; ... b&#x27;i...</div><input id='attrs-fe4a236c-7cb6-44cf-9860-451fc761ebda' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe4a236c-7cb6-44cf-9860-451fc761ebda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5666a8a8-ff73-439b-a9cf-d627ce013fd1' class='xr-var-data-in' type='checkbox'><label for='data-5666a8a8-ff73-439b-a9cf-d627ce013fd1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ocean basin</dd><dt><span>standard_name :</span></dt><dd>region</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;atlantic_arctic_ocean&#x27;, b&#x27;global_ocean&#x27;, b&#x27;indian_pacific_ocean&#x27;],\n",
+       "      dtype=&#x27;|S21&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-286da27e-d3ad-4d70-83f1-fa6ff78e16d5' class='xr-section-summary-in' type='checkbox' checked /><label for='section-286da27e-d3ad-4d70-83f1-fa6ff78e16d5' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.94e+04 5.943e+04 ... 7.2e+04</div><input id='attrs-0735d60d-aa07-4c65-8720-a9526f67b88d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0735d60d-aa07-4c65-8720-a9526f67b88d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ac6208d-456b-4e57-a2a9-faccceeb65ca' class='xr-var-data-in' type='checkbox'><label for='data-0ac6208d-456b-4e57-a2a9-faccceeb65ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[59400., 59430.],\n",
        "       [59430., 59460.],\n",
        "       [59460., 59490.],\n",
        "       [59490., 59520.],\n",
@@ -709,7 +725,7 @@
        "       [71880., 71910.],\n",
        "       [71910., 71940.],\n",
        "       [71940., 71970.],\n",
-       "       [71970., 72000.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.42 -85.27 -85.27 ... 81.78 81.8</div><input id='attrs-87f2eabe-63ba-461f-92f8-53295a844a3a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-87f2eabe-63ba-461f-92f8-53295a844a3a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ef46ca7-74d4-4890-823a-a268b4360607' class='xr-var-data-in' type='checkbox'><label for='data-8ef46ca7-74d4-4890-823a-a268b4360607' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-85.4212265 , -85.26911163],\n",
+       "       [71970., 72000.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.42 -85.27 -85.27 ... 81.78 81.8</div><input id='attrs-c6a0d14b-7cd6-417a-b9d8-e892e693b224' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c6a0d14b-7cd6-417a-b9d8-e892e693b224' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be2d536f-3673-4840-8e9b-20dded2930c9' class='xr-var-data-in' type='checkbox'><label for='data-be2d536f-3673-4840-8e9b-20dded2930c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-85.4212265 , -85.26911163],\n",
        "       [-85.26911163, -85.1164093 ],\n",
        "       [-85.1164093 , -84.96253967],\n",
        "       [-84.96253967, -84.80754089],\n",
@@ -749,7 +765,7 @@
        "       [ 81.63292694,  81.70275116],\n",
        "       [ 81.70275116,  81.75169373],\n",
        "       [ 81.75169373,  81.78044128],\n",
-       "       [ 81.78044128,  81.79931641]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>htovgyre</span></div><div class='xr-var-dims'>(time, basin, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-7ac88b93-1afc-4533-a09b-6de7829b8223' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ac88b93-1afc-4533-a09b-6de7829b8223' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63d81345-db75-479d-87db-6f9a8ad4154b' class='xr-var-data-in' type='checkbox'><label for='data-63d81345-db75-479d-87db-6f9a8ad4154b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>northward_ocean_heat_transport_due_to_gyre</dd><dt><span>long_name :</span></dt><dd>Northward Ocean Heat Transport Due to Gyre</dd><dt><span>comment :</span></dt><dd>mo: The latitude coordinate is for reference only and is the closest native grid line passing through 65.6 N, 168.7 W (Bering Strait). The atlantic_arctic_ocean basin includes the baltic_sea and hudson_bay basins and the right-hand half of the arctic_ocean basin (with respect to the native model grid). The indian_pacific_ocean basin includes the red_sea basin. This diagnostic has been calculated with respect to the native grid and NOT with respect to true north as requested., AerChemMIP_table_comment: From all advective mass transport processes, resolved and parameterized.</dd><dt><span>units :</span></dt><dd>W</dd><dt><span>original_name :</span></dt><dd>mo: combine_cubes_to_basin_coord((variable_name: hfovgyre_global), (variable_name: hfovgyre_atlantic), (variable_name: hfovgyre_indopacific), mask_global=(variable_name: global_ocean_1D_V), mask_atl=(variable_name: atlantic_arctic_ocean_1D_V), mask_indpac=(variable_name: indian_pacific_ocean_1D_V))</dd><dt><span>original_units :</span></dt><dd>PW</dd><dt><span>history :</span></dt><dd>2020-08-21T14:28:52Z altered by CMOR: Converted units from &#x27;PW&#x27; to &#x27;W&#x27;. 2020-08-21T14:28:52Z altered by CMOR: Reordered dimensions, original order: basin time lat.</dd><dt><span>cell_methods :</span></dt><dd>longitude: sum (comment: basin sum [along zig-zag grid path]) depth: sum time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[[           nan,            nan,            nan, ...,\n",
+       "       [ 81.78044128,  81.79931641]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>htovgyre</span></div><div class='xr-var-dims'>(time, basin, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-b14c2fd5-739e-4da4-ade9-e9e931abb866' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b14c2fd5-739e-4da4-ade9-e9e931abb866' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4544801c-1314-454b-8cc7-8b7fbb97fd6c' class='xr-var-data-in' type='checkbox'><label for='data-4544801c-1314-454b-8cc7-8b7fbb97fd6c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>northward_ocean_heat_transport_due_to_gyre</dd><dt><span>long_name :</span></dt><dd>Northward Ocean Heat Transport Due to Gyre</dd><dt><span>comment :</span></dt><dd>mo: The latitude coordinate is for reference only and is the closest native grid line passing through 65.6 N, 168.7 W (Bering Strait). The atlantic_arctic_ocean basin includes the baltic_sea and hudson_bay basins and the right-hand half of the arctic_ocean basin (with respect to the native model grid). The indian_pacific_ocean basin includes the red_sea basin. This diagnostic has been calculated with respect to the native grid and NOT with respect to true north as requested., AerChemMIP_table_comment: From all advective mass transport processes, resolved and parameterized.</dd><dt><span>units :</span></dt><dd>W</dd><dt><span>original_name :</span></dt><dd>mo: combine_cubes_to_basin_coord((variable_name: hfovgyre_global), (variable_name: hfovgyre_atlantic), (variable_name: hfovgyre_indopacific), mask_global=(variable_name: global_ocean_1D_V), mask_atl=(variable_name: atlantic_arctic_ocean_1D_V), mask_indpac=(variable_name: indian_pacific_ocean_1D_V))</dd><dt><span>original_units :</span></dt><dd>PW</dd><dt><span>history :</span></dt><dd>2020-08-21T14:28:52Z altered by CMOR: Converted units from &#x27;PW&#x27; to &#x27;W&#x27;. 2020-08-21T14:28:52Z altered by CMOR: Reordered dimensions, original order: basin time lat.</dd><dt><span>cell_methods :</span></dt><dd>longitude: sum (comment: basin sum [along zig-zag grid path]) depth: sum time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[[           nan,            nan,            nan, ...,\n",
        "          5.9394045e+12,  5.0293663e+12,            nan],\n",
        "        [           nan,            nan,            nan, ...,\n",
        "          5.1184492e+12,  4.1131914e+12,  1.5370929e-04],\n",
@@ -789,7 +805,7 @@
        "          2.2134275e+13,  1.4477528e+13, -9.6522277e-04],\n",
        "        [           nan,            nan,            nan, ...,\n",
        "                    nan,            nan,            nan]]],\n",
-       "      shape=(420, 3, 330), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-671e8318-d7bf-49dd-b346-c768c379d5ef' class='xr-section-summary-in' type='checkbox' checked /><label for='section-671e8318-d7bf-49dd-b346-c768c379d5ef' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(46)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>AerChemMIP</dd><dt><span>branch_method :</span></dt><dd>standard</dd><dt><span>branch_time_in_child :</span></dt><dd>59400.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>59400.0</dd><dt><span>creation_date :</span></dt><dd>2020-08-21T14:28:52Z</dd><dt><span>cv_version :</span></dt><dd>6.2.53.5</dd><dt><span>data_specs_version :</span></dt><dd>01.00.31</dd><dt><span>experiment :</span></dt><dd>SSP3-7.0, with low NTCF emissions and methane concentrations</dd><dt><span>experiment_id :</span></dt><dd>ssp370-lowNTCFCH4</dd><dt><span>forcing_index :</span></dt><dd>2</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.MOHC.UKESM1-0-LL.ssp370-lowNTCFCH4.none.r2i1p1f2</dd><dt><span>grid :</span></dt><dd>Native eORCA1 tripolar primarily 1 deg with meridional refinement down to 1/3 degree in the tropics; Quasi-zonal mean, 330 latitude</dd><dt><span>grid_label :</span></dt><dd>gnz</dd><dt><span>history :</span></dt><dd>2020-08-21T14:24:56Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.;\n",
+       "      shape=(420, 3, 330), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f8ddf5c2-a2ce-423a-a94b-1682280e5873' class='xr-section-summary-in' type='checkbox' checked /><label for='section-f8ddf5c2-a2ce-423a-a94b-1682280e5873' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(46)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>AerChemMIP</dd><dt><span>branch_method :</span></dt><dd>standard</dd><dt><span>branch_time_in_child :</span></dt><dd>59400.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>59400.0</dd><dt><span>creation_date :</span></dt><dd>2020-08-21T14:28:52Z</dd><dt><span>cv_version :</span></dt><dd>6.2.53.5</dd><dt><span>data_specs_version :</span></dt><dd>01.00.31</dd><dt><span>experiment :</span></dt><dd>SSP3-7.0, with low NTCF emissions and methane concentrations</dd><dt><span>experiment_id :</span></dt><dd>ssp370-lowNTCFCH4</dd><dt><span>forcing_index :</span></dt><dd>2</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.MOHC.UKESM1-0-LL.ssp370-lowNTCFCH4.none.r2i1p1f2</dd><dt><span>grid :</span></dt><dd>Native eORCA1 tripolar primarily 1 deg with meridional refinement down to 1/3 degree in the tropics; Quasi-zonal mean, 330 latitude</dd><dt><span>grid_label :</span></dt><dd>gnz</dd><dt><span>history :</span></dt><dd>2020-08-21T14:24:56Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.;\n",
        "2020-08-21T14:23:56Z MIP Convert v1.5.0, Python v2.7.16, Iris v2.2.0, Numpy v1.15.4, cftime v1.0.0b1.</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, EX1 3PB, UK</dd><dt><span>institution_id :</span></dt><dd>MOHC</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>mo_runid :</span></dt><dd>u-bu258</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>parent_activity_id :</span></dt><dd>CMIP</dd><dt><span>parent_experiment_id :</span></dt><dd>historical</dd><dt><span>parent_mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_source_id :</span></dt><dd>UKESM1-0-LL</dd><dt><span>parent_time_units :</span></dt><dd>days since 1850-01-01</dd><dt><span>parent_variant_label :</span></dt><dd>r4i1p1f2</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>2</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>source :</span></dt><dd>UKESM1.0-LL (2018): \n",
        "aerosol: UKCA-GLOMAP-mode\n",
        "atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km)\n",
@@ -884,10 +900,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T19:33:35.028697Z",
-     "iopub.status.busy": "2026-05-30T19:33:35.028593Z",
-     "iopub.status.idle": "2026-05-30T19:33:35.032967Z",
-     "shell.execute_reply": "2026-05-30T19:33:35.032603Z"
+     "iopub.execute_input": "2026-05-31T18:59:25.092773Z",
+     "iopub.status.busy": "2026-05-31T18:59:25.092678Z",
+     "iopub.status.idle": "2026-05-31T18:59:25.097238Z",
+     "shell.execute_reply": "2026-05-31T18:59:25.096856Z"
     }
    },
    "outputs": [
@@ -950,10 +966,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T19:33:35.034128Z",
-     "iopub.status.busy": "2026-05-30T19:33:35.034055Z",
-     "iopub.status.idle": "2026-05-30T19:33:35.122238Z",
-     "shell.execute_reply": "2026-05-30T19:33:35.121651Z"
+     "iopub.execute_input": "2026-05-31T18:59:25.098234Z",
+     "iopub.status.busy": "2026-05-31T18:59:25.098172Z",
+     "iopub.status.idle": "2026-05-31T18:59:25.199607Z",
+     "shell.execute_reply": "2026-05-31T18:59:25.198987Z"
     }
    },
    "outputs": [
@@ -961,7 +977,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "output/05_ocean_heat_transport_by_basin/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/htovgyre/tavg-u-hyb-sea/g999/v20260530/htovgyre_tavg-u-hyb-sea_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201501-204912.nc\n"
+      "output/05_ocean_heat_transport_by_basin/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/htovgyre/tavg-u-hyb-sea/g999/v20260531/htovgyre_tavg-u-hyb-sea_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201501-204912.nc\n"
      ]
     }
    ],
@@ -1006,10 +1022,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T19:33:35.123969Z",
-     "iopub.status.busy": "2026-05-30T19:33:35.123869Z",
-     "iopub.status.idle": "2026-05-30T19:33:35.141465Z",
-     "shell.execute_reply": "2026-05-30T19:33:35.141117Z"
+     "iopub.execute_input": "2026-05-31T18:59:25.201496Z",
+     "iopub.status.busy": "2026-05-31T18:59:25.201382Z",
+     "iopub.status.idle": "2026-05-31T18:59:25.221386Z",
+     "shell.execute_reply": "2026-05-31T18:59:25.220662Z"
     }
    },
    "outputs": [
@@ -1575,7 +1591,7 @@
        "    area_label:            sea\n",
        "    branded_variable:      htovgyre_tavg-u-hyb-sea\n",
        "    branding_suffix:       tavg-u-hyb-sea\n",
-       "    creation_date:         2026-05-30T19:33:35Z\n",
+       "    creation_date:         2026-05-31T18:59:25Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -1584,7 +1600,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-30T19:33:35Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-05-31T18:59:25Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hyb\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1603,14 +1619,14 @@
        "    table_info:            Name: CMIP7_ocean.json; Creation Date:(2026-04-21 ...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/86bb28fb-8e68-4f7e-a4a3-fad542d49a31\n",
+       "    tracking_id:           hdl:21.14107/41f234e7-b654-4df4-b6c3-b786c3dcb125\n",
        "    variable_id:           htovgyre\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-64cc97d9-2bc0-459d-b0e4-c22f14cadf4c' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-64cc97d9-2bc0-459d-b0e4-c22f14cadf4c' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 420</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 330</li><li><span>basin</span>: 3</li></ul></div></li><li class='xr-section-item'><input id='section-dc1604c0-089d-4fe7-af60-c9f53a203e26' class='xr-section-summary-in' type='checkbox' checked /><label for='section-dc1604c0-089d-4fe7-af60-c9f53a203e26' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.942e+04 5.944e+04 ... 7.198e+04</div><input id='attrs-66303c12-9557-4d2d-a8e2-38b57ce69f23' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66303c12-9557-4d2d-a8e2-38b57ce69f23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2ec2aab-d535-4a5b-8e22-c18dcf9721e2' class='xr-var-data-in' type='checkbox'><label for='data-f2ec2aab-d535-4a5b-8e22-c18dcf9721e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([59415., 59445., 59475., ..., 71925., 71955., 71985.], shape=(420,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.35 -85.19 ... 81.77 81.79</div><input id='attrs-364daa22-254c-4efa-b237-59c77334c404' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-364daa22-254c-4efa-b237-59c77334c404' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed6dba66-bf95-41c4-a4b9-ba0695fc4622' class='xr-var-data-in' type='checkbox'><label for='data-ed6dba66-bf95-41c4-a4b9-ba0695fc4622' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85.345169, -85.193054, -85.039757, ...,  81.732368,  81.771011,\n",
-       "        81.789879], shape=(330,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sector</span></div><div class='xr-var-dims'>(basin)</div><div class='xr-var-dtype'>|S21</div><div class='xr-var-preview xr-preview'>b&#x27;atlantic_arctic_ocean&#x27; ... b&#x27;i...</div><input id='attrs-d294ff2d-1946-4d45-b104-7901c46ff07d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d294ff2d-1946-4d45-b104-7901c46ff07d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47c9061e-07cb-459f-827f-e98778b3c159' class='xr-var-data-in' type='checkbox'><label for='data-47c9061e-07cb-459f-827f-e98778b3c159' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ocean Basin</dd><dt><span>standard_name :</span></dt><dd>region</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;atlantic_arctic_ocean&#x27;, b&#x27;global_ocean&#x27;, b&#x27;indian_pacific_ocean&#x27;],\n",
-       "      dtype=&#x27;|S21&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2f5c5cf7-bd91-4fd4-b381-1922b09a201d' class='xr-section-summary-in' type='checkbox' checked /><label for='section-2f5c5cf7-bd91-4fd4-b381-1922b09a201d' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.94e+04 5.943e+04 ... 7.2e+04</div><input id='attrs-1688e5f7-0b55-4a68-b3b1-c386317e2508' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1688e5f7-0b55-4a68-b3b1-c386317e2508' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6012bbcd-7b4a-4ec5-9178-602e28f017ad' class='xr-var-data-in' type='checkbox'><label for='data-6012bbcd-7b4a-4ec5-9178-602e28f017ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[59400., 59430.],\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e77cdb44-ff2c-42ac-99c7-14a14963616b' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-e77cdb44-ff2c-42ac-99c7-14a14963616b' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 420</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 330</li><li><span>basin</span>: 3</li></ul></div></li><li class='xr-section-item'><input id='section-1ecb974a-67f5-438b-a1d1-6ef762e0e436' class='xr-section-summary-in' type='checkbox' checked /><label for='section-1ecb974a-67f5-438b-a1d1-6ef762e0e436' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.942e+04 5.944e+04 ... 7.198e+04</div><input id='attrs-edf558a9-48bd-48a0-8a04-d96672021d13' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-edf558a9-48bd-48a0-8a04-d96672021d13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b30cec20-d089-46f7-acf2-edfac3a230ba' class='xr-var-data-in' type='checkbox'><label for='data-b30cec20-d089-46f7-acf2-edfac3a230ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([59415., 59445., 59475., ..., 71925., 71955., 71985.], shape=(420,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.35 -85.19 ... 81.77 81.79</div><input id='attrs-ecedfde4-bed3-4e19-9f22-2ccaeaeee125' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ecedfde4-bed3-4e19-9f22-2ccaeaeee125' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2cf94748-5d8d-4643-a83a-174683874b21' class='xr-var-data-in' type='checkbox'><label for='data-2cf94748-5d8d-4643-a83a-174683874b21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85.345169, -85.193054, -85.039757, ...,  81.732368,  81.771011,\n",
+       "        81.789879], shape=(330,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sector</span></div><div class='xr-var-dims'>(basin)</div><div class='xr-var-dtype'>|S21</div><div class='xr-var-preview xr-preview'>b&#x27;atlantic_arctic_ocean&#x27; ... b&#x27;i...</div><input id='attrs-6acd80d7-25cc-4617-90aa-4ca5662c6d75' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6acd80d7-25cc-4617-90aa-4ca5662c6d75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7986ad26-4fde-4255-a6c5-0f84be63c157' class='xr-var-data-in' type='checkbox'><label for='data-7986ad26-4fde-4255-a6c5-0f84be63c157' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ocean Basin</dd><dt><span>standard_name :</span></dt><dd>region</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;atlantic_arctic_ocean&#x27;, b&#x27;global_ocean&#x27;, b&#x27;indian_pacific_ocean&#x27;],\n",
+       "      dtype=&#x27;|S21&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b697de59-5df4-480f-bf25-cc87c0421205' class='xr-section-summary-in' type='checkbox' checked /><label for='section-b697de59-5df4-480f-bf25-cc87c0421205' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.94e+04 5.943e+04 ... 7.2e+04</div><input id='attrs-038fd922-37cd-4273-b4b0-b1268d086e26' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-038fd922-37cd-4273-b4b0-b1268d086e26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a889f3d-f3bf-46c7-a6a1-f6a946766ba7' class='xr-var-data-in' type='checkbox'><label for='data-5a889f3d-f3bf-46c7-a6a1-f6a946766ba7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[59400., 59430.],\n",
        "       [59430., 59460.],\n",
        "       [59460., 59490.],\n",
        "       [59490., 59520.],\n",
@@ -1650,7 +1666,7 @@
        "       [71880., 71910.],\n",
        "       [71910., 71940.],\n",
        "       [71940., 71970.],\n",
-       "       [71970., 72000.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.42 -85.27 -85.27 ... 81.78 81.8</div><input id='attrs-b9b0b77e-d4c7-43ad-869b-ecd5726800d6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b9b0b77e-d4c7-43ad-869b-ecd5726800d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a722ce84-41c2-4488-b787-16fb14fb2e30' class='xr-var-data-in' type='checkbox'><label for='data-a722ce84-41c2-4488-b787-16fb14fb2e30' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-85.4212265 , -85.26911163],\n",
+       "       [71970., 72000.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.42 -85.27 -85.27 ... 81.78 81.8</div><input id='attrs-55227947-9227-4768-9248-8d20217c9014' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-55227947-9227-4768-9248-8d20217c9014' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c260a7ac-a5e2-4007-aed8-6bdaee37387c' class='xr-var-data-in' type='checkbox'><label for='data-c260a7ac-a5e2-4007-aed8-6bdaee37387c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-85.4212265 , -85.26911163],\n",
        "       [-85.26911163, -85.1164093 ],\n",
        "       [-85.1164093 , -84.96253967],\n",
        "       [-84.96253967, -84.80754089],\n",
@@ -1690,7 +1706,7 @@
        "       [ 81.63292694,  81.70275116],\n",
        "       [ 81.70275116,  81.75169373],\n",
        "       [ 81.75169373,  81.78044128],\n",
-       "       [ 81.78044128,  81.79931641]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>htovgyre</span></div><div class='xr-var-dims'>(time, basin, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-cfae6ab1-dda4-45e6-8453-9589e428d5f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cfae6ab1-dda4-45e6-8453-9589e428d5f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ca49421-c399-4ba6-8367-90367c6a49f5' class='xr-var-data-in' type='checkbox'><label for='data-1ca49421-c399-4ba6-8367-90367c6a49f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>northward_ocean_heat_transport_due_to_gyre</dd><dt><span>long_name :</span></dt><dd>Northward Ocean Heat Transport Due to Gyre</dd><dt><span>units :</span></dt><dd>W</dd><dt><span>cell_methods :</span></dt><dd>depth: longitude: sum where sea (along a zig-zag grid path spanning a basin)  time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[[           nan,            nan,            nan, ...,\n",
+       "       [ 81.78044128,  81.79931641]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>htovgyre</span></div><div class='xr-var-dims'>(time, basin, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-d957adeb-f4f4-4d3f-9e63-4c9473d127b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d957adeb-f4f4-4d3f-9e63-4c9473d127b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14ad1967-e65c-457a-9ec9-0454bffd78e5' class='xr-var-data-in' type='checkbox'><label for='data-14ad1967-e65c-457a-9ec9-0454bffd78e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>northward_ocean_heat_transport_due_to_gyre</dd><dt><span>long_name :</span></dt><dd>Northward Ocean Heat Transport Due to Gyre</dd><dt><span>units :</span></dt><dd>W</dd><dt><span>cell_methods :</span></dt><dd>depth: longitude: sum where sea (along a zig-zag grid path spanning a basin)  time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[[           nan,            nan,            nan, ...,\n",
        "          5.9394045e+12,  5.0293663e+12,            nan],\n",
        "        [           nan,            nan,            nan, ...,\n",
        "          5.1184492e+12,  4.1131914e+12,  1.5370929e-04],\n",
@@ -1730,7 +1746,7 @@
        "          2.2134275e+13,  1.4477528e+13, -9.6522277e-04],\n",
        "        [           nan,            nan,            nan, ...,\n",
        "                    nan,            nan,            nan]]],\n",
-       "      shape=(420, 3, 330), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-98cca6e3-0fe5-44f6-a78c-a310ebc49458' class='xr-section-summary-in' type='checkbox' checked /><label for='section-98cca6e3-0fe5-44f6-a78c-a310ebc49458' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(39)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>htovgyre_tavg-u-hyb-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hyb-sea</dd><dt><span>creation_date :</span></dt><dd>2026-05-30T19:33:35Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-30T19:33:35Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hyb</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/86bb28fb-8e68-4f7e-a4a3-fad542d49a31</dd><dt><span>variable_id :</span></dt><dd>htovgyre</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+       "      shape=(420, 3, 330), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7ceb2305-bfae-4c8f-b82a-837e0886b778' class='xr-section-summary-in' type='checkbox' checked /><label for='section-7ceb2305-bfae-4c8f-b82a-837e0886b778' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(39)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>htovgyre_tavg-u-hyb-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hyb-sea</dd><dt><span>creation_date :</span></dt><dd>2026-05-31T18:59:25Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-31T18:59:25Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hyb</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/41f234e7-b654-4df4-b6c3-b786c3dcb125</dd><dt><span>variable_id :</span></dt><dd>htovgyre</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 2MB\n",
@@ -1750,7 +1766,7 @@
        "    area_label:            sea\n",
        "    branded_variable:      htovgyre_tavg-u-hyb-sea\n",
        "    branding_suffix:       tavg-u-hyb-sea\n",
-       "    creation_date:         2026-05-30T19:33:35Z\n",
+       "    creation_date:         2026-05-31T18:59:25Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -1759,7 +1775,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-30T19:33:35Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-05-31T18:59:25Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hyb\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1778,7 +1794,7 @@
        "    table_info:            Name: CMIP7_ocean.json; Creation Date:(2026-04-21 ...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/86bb28fb-8e68-4f7e-a4a3-fad542d49a31\n",
+       "    tracking_id:           hdl:21.14107/41f234e7-b654-4df4-b6c3-b786c3dcb125\n",
        "    variable_id:           htovgyre\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
@@ -1809,16 +1825,16 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-30T19:33:35.142893Z",
-     "iopub.status.busy": "2026-05-30T19:33:35.142784Z",
-     "iopub.status.idle": "2026-05-30T19:33:35.204596Z",
-     "shell.execute_reply": "2026-05-30T19:33:35.204161Z"
+     "iopub.execute_input": "2026-05-31T18:59:25.222900Z",
+     "iopub.status.busy": "2026-05-31T18:59:25.222813Z",
+     "iopub.status.idle": "2026-05-31T18:59:25.292149Z",
+     "shell.execute_reply": "2026-05-31T18:59:25.291624Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1050x560 with 1 Axes>"
       ]
@@ -1836,7 +1852,8 @@
     "ax.axhline(0.0, color=\"0.2\", linewidth=0.8)\n",
     "ax.set_xlabel(\"Latitude\")\n",
     "ax.set_ylabel(\"W\")\n",
-    "ax.set_title(\"CMIP7 htovgyre by basin, first month\")\n",
+    "time_label = month_year_label(ds[\"time\"])\n",
+    "ax.set_title(f\"CMIP7 htovgyre by basin, {time_label}\")\n",
     "ax.grid(True, linewidth=0.4, color=\"0.75\")\n",
     "ax.legend(loc=\"best\")\n",
     "plt.show()\n"
diff --git a/notebooks/06_land_use_fraction.ipynb b/notebooks/06_land_use_fraction.ipynb
index 5db45e33..d210239c 100644
--- a/notebooks/06_land_use_fraction.ipynb
+++ b/notebooks/06_land_use_fraction.ipynb
@@ -16,10 +16,10 @@
    "id": "a97ae18a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-31T18:49:29.411088Z",
-     "iopub.status.busy": "2026-05-31T18:49:29.410899Z",
-     "iopub.status.idle": "2026-05-31T18:49:30.674292Z",
-     "shell.execute_reply": "2026-05-31T18:49:30.673812Z"
+     "iopub.execute_input": "2026-05-31T18:59:26.307262Z",
+     "iopub.status.busy": "2026-05-31T18:59:26.307102Z",
+     "iopub.status.idle": "2026-05-31T18:59:26.879065Z",
+     "shell.execute_reply": "2026-05-31T18:59:26.878524Z"
     }
    },
    "outputs": [
@@ -33,6 +33,7 @@
    ],
    "source": [
     "from pathlib import Path\n",
+    "import calendar\n",
     "import json\n",
     "import shutil\n",
     "\n",
@@ -53,6 +54,21 @@
     "if not DATA_PATH.exists():\n",
     "    raise FileNotFoundError(f\"Source data file not found: {DATA_PATH}\")\n",
     "\n",
+    "\n",
+    "\n",
+    "def month_year_label(time_coord):\n",
+    "    decoded_time = xr.coding.times.decode_cf_datetime(\n",
+    "        time_coord.values[:1],\n",
+    "        time_coord.attrs[\"units\"],\n",
+    "        calendar=time_coord.attrs.get(\"calendar\", \"standard\"),\n",
+    "    )[0]\n",
+    "    if hasattr(decoded_time, \"strftime\"):\n",
+    "        return decoded_time.strftime(\"%B %Y\")\n",
+    "    date_text = np.datetime_as_string(decoded_time, unit=\"D\")\n",
+    "    year, month = date_text.split(\"-\")[:2]\n",
+    "    return f\"{calendar.month_name[int(month)]} {year}\"\n",
+    "\n",
+    "\n",
     "print(f\"Using CMIP7 tables from {TABLES_DIR}\")\n"
    ]
   },
@@ -62,10 +78,10 @@
    "id": "1137cc32",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-31T18:49:30.675478Z",
-     "iopub.status.busy": "2026-05-31T18:49:30.675346Z",
-     "iopub.status.idle": "2026-05-31T18:49:30.996474Z",
-     "shell.execute_reply": "2026-05-31T18:49:30.995959Z"
+     "iopub.execute_input": "2026-05-31T18:59:26.881363Z",
+     "iopub.status.busy": "2026-05-31T18:59:26.881152Z",
+     "iopub.status.idle": "2026-05-31T18:59:27.049084Z",
+     "shell.execute_reply": "2026-05-31T18:59:27.048670Z"
     }
    },
    "outputs": [
@@ -672,8 +688,8 @@
        "    variable_id:           fracLut\n",
        "    variant_info:          N/A\n",
        "    references:            see further_info_url attribute\n",
-       "    variant_label:         r1i1p1f1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-46fb7bd8-9afd-42c7-ac36-a668d6f41891' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-46fb7bd8-9afd-42c7-ac36-a668d6f41891' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span class='xr-has-index'>landuse</span>: 4</li><li><span class='xr-has-index'>lat</span>: 180</li><li><span class='xr-has-index'>lon</span>: 288</li><li><span class='xr-has-index'>bnds</span>: 2</li></ul></div></li><li class='xr-section-item'><input id='section-a868bdab-06cc-441d-ac75-8ffc342f0fe0' class='xr-section-summary-in' type='checkbox' checked /><label for='section-a868bdab-06cc-441d-ac75-8ffc342f0fe0' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.122e+05 1.122e+05 ... 1.125e+05</div><input id='attrs-53de3bc3-7705-4768-bf03-c00f451affba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53de3bc3-7705-4768-bf03-c00f451affba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54ab0af0-7ff5-41cf-8176-5ee701d7ce1b' class='xr-var-data-in' type='checkbox'><label for='data-54ab0af0-7ff5-41cf-8176-5ee701d7ce1b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>units :</span></dt><dd>days since 1700-01-01 00:00:00</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>calendar_type :</span></dt><dd>julian</dd><dt><span>calendar :</span></dt><dd>julian</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>description :</span></dt><dd>Temporal mean</dd></dl></div><div class='xr-var-data'><pre>array([112177. , 112206.5, 112237. , 112267.5, 112298. , 112328.5, 112359.5,\n",
-       "       112390. , 112420.5, 112451. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>landuse</span></div><div class='xr-var-dims'>(landuse)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-f4c872f5-4b99-4b1a-ab15-59b14847db70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4c872f5-4b99-4b1a-ab15-59b14847db70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35dccc38-f147-47b5-ad6c-5f3ecf41c2ba' class='xr-var-data-in' type='checkbox'><label for='data-35dccc38-f147-47b5-ad6c-5f3ecf41c2ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Land use type</dd><dt><span>standard_name :</span></dt><dd>area_type</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3]</dd><dt><span>flag_meanings :</span></dt><dd>psl pst crp urb</dd></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.5 -88.5 -87.5 ... 88.5 89.5</div><input id='attrs-0f66bce9-8f26-4bcf-b632-67997770ee65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f66bce9-8f26-4bcf-b632-67997770ee65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2a3bca4-ce35-428e-9b60-9d2e2738a0d7' class='xr-var-data-in' type='checkbox'><label for='data-f2a3bca4-ce35-428e-9b60-9d2e2738a0d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd></dl></div><div class='xr-var-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
+       "    variant_label:         r1i1p1f1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1b9ebaea-6b14-4028-a5b8-5b34c30cef1e' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-1b9ebaea-6b14-4028-a5b8-5b34c30cef1e' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span class='xr-has-index'>landuse</span>: 4</li><li><span class='xr-has-index'>lat</span>: 180</li><li><span class='xr-has-index'>lon</span>: 288</li><li><span class='xr-has-index'>bnds</span>: 2</li></ul></div></li><li class='xr-section-item'><input id='section-05b5d9bf-d5ee-40e9-a5c4-81349035c459' class='xr-section-summary-in' type='checkbox' checked /><label for='section-05b5d9bf-d5ee-40e9-a5c4-81349035c459' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.122e+05 1.122e+05 ... 1.125e+05</div><input id='attrs-15421eae-a9be-4b44-9d45-c1a912a30825' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15421eae-a9be-4b44-9d45-c1a912a30825' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ea246e8-9cf5-447b-aa8e-e5f3e7b6570a' class='xr-var-data-in' type='checkbox'><label for='data-2ea246e8-9cf5-447b-aa8e-e5f3e7b6570a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>units :</span></dt><dd>days since 1700-01-01 00:00:00</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>calendar_type :</span></dt><dd>julian</dd><dt><span>calendar :</span></dt><dd>julian</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>description :</span></dt><dd>Temporal mean</dd></dl></div><div class='xr-var-data'><pre>array([112177. , 112206.5, 112237. , 112267.5, 112298. , 112328.5, 112359.5,\n",
+       "       112390. , 112420.5, 112451. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>landuse</span></div><div class='xr-var-dims'>(landuse)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-5b80f799-e479-4394-98ce-33e15c621117' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b80f799-e479-4394-98ce-33e15c621117' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59520e47-51b8-48ea-a999-08c6e3062891' class='xr-var-data-in' type='checkbox'><label for='data-59520e47-51b8-48ea-a999-08c6e3062891' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Land use type</dd><dt><span>standard_name :</span></dt><dd>area_type</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3]</dd><dt><span>flag_meanings :</span></dt><dd>psl pst crp urb</dd></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.5 -88.5 -87.5 ... 88.5 89.5</div><input id='attrs-b34c026e-07bc-411e-a924-745f45227d2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b34c026e-07bc-411e-a924-745f45227d2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6f2568b-b949-487c-b1b0-8f58a9342100' class='xr-var-data-in' type='checkbox'><label for='data-c6f2568b-b949-487c-b1b0-8f58a9342100' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd></dl></div><div class='xr-var-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
        "       -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,\n",
        "       -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5,\n",
        "       -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5,\n",
@@ -690,7 +706,7 @@
        "        50.5,  51.5,  52.5,  53.5,  54.5,  55.5,  56.5,  57.5,  58.5,  59.5,\n",
        "        60.5,  61.5,  62.5,  63.5,  64.5,  65.5,  66.5,  67.5,  68.5,  69.5,\n",
        "        70.5,  71.5,  72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,\n",
-       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.625 1.875 3.125 ... 358.1 359.4</div><input id='attrs-c29d85d8-f5df-462e-b32c-32ea8b8e67b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c29d85d8-f5df-462e-b32c-32ea8b8e67b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c47e3d9-e2ae-4247-9c56-f56f01c5e8b5' class='xr-var-data-in' type='checkbox'><label for='data-9c47e3d9-e2ae-4247-9c56-f56f01c5e8b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd></dl></div><div class='xr-var-data'><pre>array([  0.625,   1.875,   3.125, ..., 356.875, 358.125, 359.375], shape=(288,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>bnds</span></div><div class='xr-var-dims'>(bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 2.0</div><input id='attrs-082002ad-35a9-4a95-8988-17e71dbff6bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-082002ad-35a9-4a95-8988-17e71dbff6bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44a98422-b8f6-4081-9c26-1c456afb532d' class='xr-var-data-in' type='checkbox'><label for='data-44a98422-b8f6-4081-9c26-1c456afb532d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertex number</dd></dl></div><div class='xr-var-data'><pre>array([1., 2.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0b241d7e-3eb2-4e56-8c52-58c80c23e420' class='xr-section-summary-in' type='checkbox' checked /><label for='section-0b241d7e-3eb2-4e56-8c52-58c80c23e420' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>fracLut</span></div><div class='xr-var-dims'>(time, landuse, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-1503959b-91ed-4f51-90c5-19946c080a42' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1503959b-91ed-4f51-90c5-19946c080a42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d24e5d45-c9e2-4cd0-a0b7-61efac599a6b' class='xr-var-data-in' type='checkbox'><label for='data-d24e5d45-c9e2-4cd0-a0b7-61efac599a6b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Percentage of grid cell for each land use tile</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>cell_methods :</span></dt><dd>area: mean where land over all_area_types time: mean</dd><dt><span>ocean_fillvalue :</span></dt><dd>0.0</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>standard_name :</span></dt><dd>area_fraction</dd><dt><span>interp_method :</span></dt><dd>conserve_order1</dd><dt><span>original_name :</span></dt><dd>fracLut</dd><dt><span>comment :</span></dt><dd>land_area = areacella * fracLut * 0.01</dd></dl></div><div class='xr-var-data'><pre>array([[[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.625 1.875 3.125 ... 358.1 359.4</div><input id='attrs-5b2eb491-74d7-4386-9727-2dc0dcbf7fb3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b2eb491-74d7-4386-9727-2dc0dcbf7fb3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45e74284-4e97-40ad-942c-2c300d4f0ed4' class='xr-var-data-in' type='checkbox'><label for='data-45e74284-4e97-40ad-942c-2c300d4f0ed4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd></dl></div><div class='xr-var-data'><pre>array([  0.625,   1.875,   3.125, ..., 356.875, 358.125, 359.375], shape=(288,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>bnds</span></div><div class='xr-var-dims'>(bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 2.0</div><input id='attrs-0aa8abd6-aa5f-449d-9994-2e28086dcb53' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0aa8abd6-aa5f-449d-9994-2e28086dcb53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef096166-1943-40dc-9aa7-ac55a510e7ce' class='xr-var-data-in' type='checkbox'><label for='data-ef096166-1943-40dc-9aa7-ac55a510e7ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertex number</dd></dl></div><div class='xr-var-data'><pre>array([1., 2.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ef396541-12ac-4b5a-b200-f1572d5abaf0' class='xr-section-summary-in' type='checkbox' checked /><label for='section-ef396541-12ac-4b5a-b200-f1572d5abaf0' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>fracLut</span></div><div class='xr-var-dims'>(time, landuse, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-a9617c7c-63b0-4d10-ad12-6e09932ac1f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9617c7c-63b0-4d10-ad12-6e09932ac1f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d5dc8d2-6f24-4726-8fc7-91a11742d998' class='xr-var-data-in' type='checkbox'><label for='data-4d5dc8d2-6f24-4726-8fc7-91a11742d998' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Percentage of grid cell for each land use tile</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>cell_methods :</span></dt><dd>area: mean where land over all_area_types time: mean</dd><dt><span>ocean_fillvalue :</span></dt><dd>0.0</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>standard_name :</span></dt><dd>area_fraction</dd><dt><span>interp_method :</span></dt><dd>conserve_order1</dd><dt><span>original_name :</span></dt><dd>fracLut</dd><dt><span>comment :</span></dt><dd>land_area = areacella * fracLut * 0.01</dd></dl></div><div class='xr-var-data'><pre>array([[[[0., 0., 0., ..., 0., 0., 0.],\n",
        "         [0., 0., 0., ..., 0., 0., 0.],\n",
        "         [0., 0., 0., ..., 0., 0., 0.],\n",
        "         ...,\n",
@@ -730,7 +746,7 @@
        "         [0., 0., 0., ..., 0., 0., 0.],\n",
        "         [0., 0., 0., ..., 0., 0., 0.],\n",
        "         [0., 0., 0., ..., 0., 0., 0.]]]],\n",
-       "      shape=(10, 4, 180, 288), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -89.0 -89.0 ... 89.0 90.0</div><input id='attrs-11abe27a-9ae9-40a7-bcd0-96c6ac5bce72' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11abe27a-9ae9-40a7-bcd0-96c6ac5bce72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-331f2398-5778-4f13-9681-fb4684bcbdc3' class='xr-var-data-in' type='checkbox'><label for='data-331f2398-5778-4f13-9681-fb4684bcbdc3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude bounds</dd></dl></div><div class='xr-var-data'><pre>array([[-90., -89.],\n",
+       "      shape=(10, 4, 180, 288), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -89.0 -89.0 ... 89.0 90.0</div><input id='attrs-29d2ef5c-e392-4672-aac1-ebdd60059fc7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29d2ef5c-e392-4672-aac1-ebdd60059fc7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56b71651-70f9-4a93-9810-0f248d81ce56' class='xr-var-data-in' type='checkbox'><label for='data-56b71651-70f9-4a93-9810-0f248d81ce56' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude bounds</dd></dl></div><div class='xr-var-data'><pre>array([[-90., -89.],\n",
        "       [-89., -88.],\n",
        "       [-88., -87.],\n",
        "       [-87., -86.],\n",
@@ -770,7 +786,7 @@
        "       [ 86.,  87.],\n",
        "       [ 87.,  88.],\n",
        "       [ 88.,  89.],\n",
-       "       [ 89.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.25 1.25 ... 358.8 358.8 360.0</div><input id='attrs-f793dda8-b5be-4236-8ebd-d41898cd3169' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f793dda8-b5be-4236-8ebd-d41898cd3169' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eaa16a4f-e37e-42a8-8acb-c849d4cdbb66' class='xr-var-data-in' type='checkbox'><label for='data-eaa16a4f-e37e-42a8-8acb-c849d4cdbb66' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude bounds</dd></dl></div><div class='xr-var-data'><pre>array([[  0.  ,   1.25],\n",
+       "       [ 89.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.25 1.25 ... 358.8 358.8 360.0</div><input id='attrs-c73f07cf-a26f-4ecc-ba56-3083e14cdf03' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c73f07cf-a26f-4ecc-ba56-3083e14cdf03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06631695-2bea-47c5-8b5e-bd4b12f8b23b' class='xr-var-data-in' type='checkbox'><label for='data-06631695-2bea-47c5-8b5e-bd4b12f8b23b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude bounds</dd></dl></div><div class='xr-var-data'><pre>array([[  0.  ,   1.25],\n",
        "       [  1.25,   2.5 ],\n",
        "       [  2.5 ,   3.75],\n",
        "       [  3.75,   5.  ],\n",
@@ -810,7 +826,7 @@
        "       [355.  , 356.25],\n",
        "       [356.25, 357.5 ],\n",
        "       [357.5 , 358.75],\n",
-       "       [358.75, 360.  ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.122e+05 1.122e+05 ... 1.125e+05</div><input id='attrs-066cff2f-16ba-44b4-b2ca-4291c8916298' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-066cff2f-16ba-44b4-b2ca-4291c8916298' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5582b6a1-67f8-4ba2-b12f-0c4bf314ef2a' class='xr-var-data-in' type='checkbox'><label for='data-5582b6a1-67f8-4ba2-b12f-0c4bf314ef2a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time axis boundaries</dd></dl></div><div class='xr-var-data'><pre>array([[112163., 112191.],\n",
+       "       [358.75, 360.  ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.122e+05 1.122e+05 ... 1.125e+05</div><input id='attrs-33e910a6-f557-4123-ae01-3694ee4de3bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33e910a6-f557-4123-ae01-3694ee4de3bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5121f62-00f5-4671-8270-5396cc4d915f' class='xr-var-data-in' type='checkbox'><label for='data-d5121f62-00f5-4671-8270-5396cc4d915f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time axis boundaries</dd></dl></div><div class='xr-var-data'><pre>array([[112163., 112191.],\n",
        "       [112191., 112222.],\n",
        "       [112222., 112252.],\n",
        "       [112252., 112283.],\n",
@@ -819,7 +835,7 @@
        "       [112344., 112375.],\n",
        "       [112375., 112405.],\n",
        "       [112405., 112436.],\n",
-       "       [112436., 112466.]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ba5ed297-e5cf-48c7-9eb3-ae3dc4cd03b8' class='xr-section-summary-in' type='checkbox' checked /><label for='section-ba5ed297-e5cf-48c7-9eb3-ae3dc4cd03b8' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(45)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>history :</span></dt><dd>File was processed by fremetar (GFDL analog of CMOR). TripleID: [exper_id_c4DzO28Hvy,realiz_id_ae3CbHYiNT,run_id_iBo24qg7Yw]</dd><dt><span>table_id :</span></dt><dd>Emon</dd><dt><span>activity_id :</span></dt><dd>LUMIP</dd><dt><span>branch_method :</span></dt><dd>no parent</dd><dt><span>branch_time_in_child :</span></dt><dd>0.0</dd><dt><span>comment :</span></dt><dd>&lt;null ref&gt;</dd><dt><span>contact :</span></dt><dd>gfdl.climate.model.info@noaa.gov</dd><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.0 UGRID-1.0</dd><dt><span>creation_date :</span></dt><dd>2019-08-25T02:53:14Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.27</dd><dt><span>experiment :</span></dt><dd>historical land-only with no land-use change</dd><dt><span>experiment_id :</span></dt><dd>land-noLu</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.NOAA-GFDL.GFDL-ESM4.land-noLu.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>land data regridded from Cubed-sphere (c96) to 180,288; interpolation method: conserve_order1</dd><dt><span>grid_label :</span></dt><dd>gr1</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA</dd><dt><span>institution_id :</span></dt><dd>NOAA-GFDL</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by NOAA-GFDL is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>parent_activity_id :</span></dt><dd>no parent</dd><dt><span>parent_experiment_id :</span></dt><dd>no parent</dd><dt><span>parent_mip_era :</span></dt><dd>no parent</dd><dt><span>parent_source_id :</span></dt><dd>no parent</dd><dt><span>parent_time_units :</span></dt><dd>no parent</dd><dt><span>parent_variant_label :</span></dt><dd>no parent</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>1</dd><dt><span>realm :</span></dt><dd>land</dd><dt><span>source :</span></dt><dd>GFDL-ESM4 (2018):\n",
+       "       [112436., 112466.]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1351d458-1c1d-4014-9b2e-58d4c571263f' class='xr-section-summary-in' type='checkbox' checked /><label for='section-1351d458-1c1d-4014-9b2e-58d4c571263f' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(45)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>history :</span></dt><dd>File was processed by fremetar (GFDL analog of CMOR). TripleID: [exper_id_c4DzO28Hvy,realiz_id_ae3CbHYiNT,run_id_iBo24qg7Yw]</dd><dt><span>table_id :</span></dt><dd>Emon</dd><dt><span>activity_id :</span></dt><dd>LUMIP</dd><dt><span>branch_method :</span></dt><dd>no parent</dd><dt><span>branch_time_in_child :</span></dt><dd>0.0</dd><dt><span>comment :</span></dt><dd>&lt;null ref&gt;</dd><dt><span>contact :</span></dt><dd>gfdl.climate.model.info@noaa.gov</dd><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.0 UGRID-1.0</dd><dt><span>creation_date :</span></dt><dd>2019-08-25T02:53:14Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.27</dd><dt><span>experiment :</span></dt><dd>historical land-only with no land-use change</dd><dt><span>experiment_id :</span></dt><dd>land-noLu</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.NOAA-GFDL.GFDL-ESM4.land-noLu.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>land data regridded from Cubed-sphere (c96) to 180,288; interpolation method: conserve_order1</dd><dt><span>grid_label :</span></dt><dd>gr1</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA</dd><dt><span>institution_id :</span></dt><dd>NOAA-GFDL</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by NOAA-GFDL is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>parent_activity_id :</span></dt><dd>no parent</dd><dt><span>parent_experiment_id :</span></dt><dd>no parent</dd><dt><span>parent_mip_era :</span></dt><dd>no parent</dd><dt><span>parent_source_id :</span></dt><dd>no parent</dd><dt><span>parent_time_units :</span></dt><dd>no parent</dd><dt><span>parent_variant_label :</span></dt><dd>no parent</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>1</dd><dt><span>realm :</span></dt><dd>land</dd><dt><span>source :</span></dt><dd>GFDL-ESM4 (2018):\n",
        "atmos: GFDL-AM4.1 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 49 levels; top level 1 Pa)\n",
        "ocean: GFDL-OM4p5 (GFDL-MOM6, tripolar - nominal 0.5 deg; 720 x 576 longitude/latitude; 75 levels; top grid cell 0-2 m)\n",
        "seaIce: GFDL-SIM4p5 (GFDL-SIS2.0, tripolar - nominal 0.5 deg; 720 x 576 longitude/latitude; 5 layers; 5 thickness categories)\n",
@@ -916,10 +932,10 @@
    "id": "22df6ea7",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-31T18:49:30.997805Z",
-     "iopub.status.busy": "2026-05-31T18:49:30.997705Z",
-     "iopub.status.idle": "2026-05-31T18:49:31.004580Z",
-     "shell.execute_reply": "2026-05-31T18:49:31.004034Z"
+     "iopub.execute_input": "2026-05-31T18:59:27.050782Z",
+     "iopub.status.busy": "2026-05-31T18:59:27.050677Z",
+     "iopub.status.idle": "2026-05-31T18:59:27.061049Z",
+     "shell.execute_reply": "2026-05-31T18:59:27.060297Z"
     }
    },
    "outputs": [
@@ -989,10 +1005,10 @@
    "id": "cf5869cb",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-31T18:49:31.005839Z",
-     "iopub.status.busy": "2026-05-31T18:49:31.005750Z",
-     "iopub.status.idle": "2026-05-31T18:49:31.147657Z",
-     "shell.execute_reply": "2026-05-31T18:49:31.147226Z"
+     "iopub.execute_input": "2026-05-31T18:59:27.062735Z",
+     "iopub.status.busy": "2026-05-31T18:59:27.062631Z",
+     "iopub.status.idle": "2026-05-31T18:59:27.199112Z",
+     "shell.execute_reply": "2026-05-31T18:59:27.198467Z"
     }
    },
    "outputs": [
@@ -1045,10 +1061,10 @@
    "id": "cdd06048",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-31T18:49:31.149226Z",
-     "iopub.status.busy": "2026-05-31T18:49:31.149087Z",
-     "iopub.status.idle": "2026-05-31T18:49:31.179621Z",
-     "shell.execute_reply": "2026-05-31T18:49:31.179114Z"
+     "iopub.execute_input": "2026-05-31T18:59:27.200932Z",
+     "iopub.status.busy": "2026-05-31T18:59:27.200814Z",
+     "iopub.status.idle": "2026-05-31T18:59:27.230852Z",
+     "shell.execute_reply": "2026-05-31T18:59:27.230495Z"
     }
    },
    "outputs": [
@@ -1615,7 +1631,7 @@
        "    area_label:            u\n",
        "    branded_variable:      fracLut_tpt-u-hxy-u\n",
        "    branding_suffix:       tpt-u-hxy-u\n",
-       "    creation_date:         2026-05-31T18:49:31Z\n",
+       "    creation_date:         2026-05-31T18:59:27Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -1625,7 +1641,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-31T18:49:31Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-05-31T18:59:27Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1644,12 +1660,12 @@
        "    table_info:            Name: CMIP7_land.json; Creation Date:(2026-04-21 1...\n",
        "    temporal_label:        tpt\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/0d2144de-0837-47c3-b1ad-763c1f94c0f9\n",
+       "    tracking_id:           hdl:21.14107/a59f57da-ce0f-4023-be59-de2aafa50663\n",
        "    variable_id:           fracLut\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b43c916d-6b6c-44d8-a4fd-61c88bad7786' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-b43c916d-6b6c-44d8-a4fd-61c88bad7786' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 180</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 288</li><li><span class='xr-has-index'>time</span>: 10</li><li><span>landuse</span>: 4</li></ul></div></li><li class='xr-section-item'><input id='section-7520dd83-de13-4df4-a397-d2dbc1ea0892' class='xr-section-summary-in' type='checkbox' checked /><label for='section-7520dd83-de13-4df4-a397-d2dbc1ea0892' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.5 -88.5 -87.5 ... 88.5 89.5</div><input id='attrs-46691ebe-63d2-4e91-9986-e700e7a2b6fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-46691ebe-63d2-4e91-9986-e700e7a2b6fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d436cf8f-371c-434f-8a0c-dd22d1dfba0c' class='xr-var-data-in' type='checkbox'><label for='data-d436cf8f-371c-434f-8a0c-dd22d1dfba0c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c57db432-1eb4-4799-995e-f39bfec270b2' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-c57db432-1eb4-4799-995e-f39bfec270b2' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 180</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 288</li><li><span class='xr-has-index'>time</span>: 10</li><li><span>landuse</span>: 4</li></ul></div></li><li class='xr-section-item'><input id='section-365b7363-cabc-4876-82b5-3abdd85c869e' class='xr-section-summary-in' type='checkbox' checked /><label for='section-365b7363-cabc-4876-82b5-3abdd85c869e' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.5 -88.5 -87.5 ... 88.5 89.5</div><input id='attrs-1bad8746-7f12-49ec-beeb-fdbe9694249b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1bad8746-7f12-49ec-beeb-fdbe9694249b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82f62646-b885-4de9-a25d-5d8f3608cc3e' class='xr-var-data-in' type='checkbox'><label for='data-82f62646-b885-4de9-a25d-5d8f3608cc3e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
        "       -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,\n",
        "       -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5,\n",
        "       -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5,\n",
@@ -1666,9 +1682,9 @@
        "        50.5,  51.5,  52.5,  53.5,  54.5,  55.5,  56.5,  57.5,  58.5,  59.5,\n",
        "        60.5,  61.5,  62.5,  63.5,  64.5,  65.5,  66.5,  67.5,  68.5,  69.5,\n",
        "        70.5,  71.5,  72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,\n",
-       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.625 1.875 3.125 ... 358.1 359.4</div><input id='attrs-202e4368-3e91-411c-8e6e-e65cd1c70924' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-202e4368-3e91-411c-8e6e-e65cd1c70924' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4816a86-fb3f-4741-a8b7-b8bacc62b9b5' class='xr-var-data-in' type='checkbox'><label for='data-b4816a86-fb3f-4741-a8b7-b8bacc62b9b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.625,   1.875,   3.125, ..., 356.875, 358.125, 359.375], shape=(288,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.122e+05 1.122e+05 ... 1.125e+05</div><input id='attrs-0b245661-c4ce-4766-b2ff-a7b545e305d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b245661-c4ce-4766-b2ff-a7b545e305d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72a0d87b-f4b6-4ada-ba93-b0c389f0cc38' class='xr-var-data-in' type='checkbox'><label for='data-72a0d87b-f4b6-4ada-ba93-b0c389f0cc38' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>days since 1700-01-01 00:00:00</dd><dt><span>calendar :</span></dt><dd>julian</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Points</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([112177. , 112206.5, 112237. , 112267.5, 112298. , 112328.5, 112359.5,\n",
-       "       112390. , 112420.5, 112451. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sector</span></div><div class='xr-var-dims'>(landuse)</div><div class='xr-var-dtype'>|S26</div><div class='xr-var-preview xr-preview'>b&#x27;primary_and_secondary_land&#x27; .....</div><input id='attrs-61ef0cc4-3093-4334-817a-47c21f51714d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61ef0cc4-3093-4334-817a-47c21f51714d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cbeb509-a61b-4617-803d-7e7fc51a42bd' class='xr-var-data-in' type='checkbox'><label for='data-5cbeb509-a61b-4617-803d-7e7fc51a42bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Land use type</dd><dt><span>standard_name :</span></dt><dd>area_type</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;primary_and_secondary_land&#x27;, b&#x27;pastures&#x27;, b&#x27;crops&#x27;, b&#x27;urban&#x27;],\n",
-       "      dtype=&#x27;|S26&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-52865f38-5aee-4668-b684-0b329b9120c9' class='xr-section-summary-in' type='checkbox' checked /><label for='section-52865f38-5aee-4668-b684-0b329b9120c9' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -89.0 -89.0 ... 89.0 90.0</div><input id='attrs-993e30fb-4371-4027-a406-e5858e509fb4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-993e30fb-4371-4027-a406-e5858e509fb4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b412605-c220-4d3f-b352-e71c8ae769dd' class='xr-var-data-in' type='checkbox'><label for='data-5b412605-c220-4d3f-b352-e71c8ae769dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -89.],\n",
+       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.625 1.875 3.125 ... 358.1 359.4</div><input id='attrs-6fe7a1f8-3e88-4223-b4e0-5cebc227ecc5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6fe7a1f8-3e88-4223-b4e0-5cebc227ecc5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9c970b3-e155-444f-9c68-a448d507744f' class='xr-var-data-in' type='checkbox'><label for='data-f9c970b3-e155-444f-9c68-a448d507744f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.625,   1.875,   3.125, ..., 356.875, 358.125, 359.375], shape=(288,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.122e+05 1.122e+05 ... 1.125e+05</div><input id='attrs-62bf1412-a2f8-45ca-aedd-be9e06956fff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62bf1412-a2f8-45ca-aedd-be9e06956fff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-abe00e41-b256-45d6-baa7-5fd508979fdb' class='xr-var-data-in' type='checkbox'><label for='data-abe00e41-b256-45d6-baa7-5fd508979fdb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>days since 1700-01-01 00:00:00</dd><dt><span>calendar :</span></dt><dd>julian</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Points</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([112177. , 112206.5, 112237. , 112267.5, 112298. , 112328.5, 112359.5,\n",
+       "       112390. , 112420.5, 112451. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sector</span></div><div class='xr-var-dims'>(landuse)</div><div class='xr-var-dtype'>|S26</div><div class='xr-var-preview xr-preview'>b&#x27;primary_and_secondary_land&#x27; .....</div><input id='attrs-16444b32-7de5-4b17-aa93-5d76f63d76f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-16444b32-7de5-4b17-aa93-5d76f63d76f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00f6f1bd-e000-4e7d-92ab-9c8e7a67f5fa' class='xr-var-data-in' type='checkbox'><label for='data-00f6f1bd-e000-4e7d-92ab-9c8e7a67f5fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Land use type</dd><dt><span>standard_name :</span></dt><dd>area_type</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;primary_and_secondary_land&#x27;, b&#x27;pastures&#x27;, b&#x27;crops&#x27;, b&#x27;urban&#x27;],\n",
+       "      dtype=&#x27;|S26&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e0e89ee6-553e-4136-b671-6613b1f0235d' class='xr-section-summary-in' type='checkbox' checked /><label for='section-e0e89ee6-553e-4136-b671-6613b1f0235d' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -89.0 -89.0 ... 89.0 90.0</div><input id='attrs-c7b844d6-467c-45d8-8948-7cdc987c1fa0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c7b844d6-467c-45d8-8948-7cdc987c1fa0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8cc787ec-5055-452a-af1f-7c15fedabc72' class='xr-var-data-in' type='checkbox'><label for='data-8cc787ec-5055-452a-af1f-7c15fedabc72' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -89.],\n",
        "       [-89., -88.],\n",
        "       [-88., -87.],\n",
        "       [-87., -86.],\n",
@@ -1708,7 +1724,7 @@
        "       [ 86.,  87.],\n",
        "       [ 87.,  88.],\n",
        "       [ 88.,  89.],\n",
-       "       [ 89.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.25 1.25 ... 358.8 358.8 360.0</div><input id='attrs-e647081c-3446-4c54-bbca-67f3c4fe543a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e647081c-3446-4c54-bbca-67f3c4fe543a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5de431e4-45b7-4024-b0fb-1d3c208334c1' class='xr-var-data-in' type='checkbox'><label for='data-5de431e4-45b7-4024-b0fb-1d3c208334c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.  ,   1.25],\n",
+       "       [ 89.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.25 1.25 ... 358.8 358.8 360.0</div><input id='attrs-40513cd6-a6a7-4ce5-99fc-7029b9948e2a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-40513cd6-a6a7-4ce5-99fc-7029b9948e2a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7787caf-ae7f-4333-9cef-3615e98441c8' class='xr-var-data-in' type='checkbox'><label for='data-a7787caf-ae7f-4333-9cef-3615e98441c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.  ,   1.25],\n",
        "       [  1.25,   2.5 ],\n",
        "       [  2.5 ,   3.75],\n",
        "       [  3.75,   5.  ],\n",
@@ -1748,7 +1764,7 @@
        "       [355.  , 356.25],\n",
        "       [356.25, 357.5 ],\n",
        "       [357.5 , 358.75],\n",
-       "       [358.75, 360.  ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fracLut</span></div><div class='xr-var-dims'>(time, landuse, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-b0197351-c1bd-4118-9358-ef73c271ab99' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0197351-c1bd-4118-9358-ef73c271ab99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-008019d3-bc71-4752-8c24-7d70ff9bb7ca' class='xr-var-data-in' type='checkbox'><label for='data-008019d3-bc71-4752-8c24-7d70ff9bb7ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>area_fraction</dd><dt><span>long_name :</span></dt><dd>Percentage of Grid Cell for Each Land-Use Tile</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>cell_methods :</span></dt><dd>area: mean time: point</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [358.75, 360.  ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fracLut</span></div><div class='xr-var-dims'>(time, landuse, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-2c297302-cf11-4ee2-8715-29f8636301cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c297302-cf11-4ee2-8715-29f8636301cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c949fc28-77dd-4d52-aa9d-78ed6abe5648' class='xr-var-data-in' type='checkbox'><label for='data-c949fc28-77dd-4d52-aa9d-78ed6abe5648' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>area_fraction</dd><dt><span>long_name :</span></dt><dd>Percentage of Grid Cell for Each Land-Use Tile</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>cell_methods :</span></dt><dd>area: mean time: point</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[0., 0., 0., ..., 0., 0., 0.],\n",
        "         [0., 0., 0., ..., 0., 0., 0.],\n",
        "         [0., 0., 0., ..., 0., 0., 0.],\n",
        "         ...,\n",
@@ -1788,7 +1804,7 @@
        "         [0., 0., 0., ..., 0., 0., 0.],\n",
        "         [0., 0., 0., ..., 0., 0., 0.],\n",
        "         [0., 0., 0., ..., 0., 0., 0.]]]],\n",
-       "      shape=(10, 4, 180, 288), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fdf3b190-b977-4e4d-a4d2-1a39cd6d422d' class='xr-section-summary-in' type='checkbox' checked /><label for='section-fdf3b190-b977-4e4d-a4d2-1a39cd6d422d' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>fracLut_tpt-u-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tpt-u-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-31T18:49:31Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-31T18:49:31Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>land</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_land.json; Creation Date:(2026-04-21 15:01:29) MD5:bafb8e42cac0efce87531baf8e7d21b2</dd><dt><span>temporal_label :</span></dt><dd>tpt</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/0d2144de-0837-47c3-b1ad-763c1f94c0f9</dd><dt><span>variable_id :</span></dt><dd>fracLut</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+       "      shape=(10, 4, 180, 288), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-19f80ec4-2a2f-479a-acd5-a572c8222dea' class='xr-section-summary-in' type='checkbox' checked /><label for='section-19f80ec4-2a2f-479a-acd5-a572c8222dea' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>fracLut_tpt-u-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tpt-u-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-31T18:59:27Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-31T18:59:27Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>land</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_land.json; Creation Date:(2026-04-21 15:01:29) MD5:bafb8e42cac0efce87531baf8e7d21b2</dd><dt><span>temporal_label :</span></dt><dd>tpt</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/a59f57da-ce0f-4023-be59-de2aafa50663</dd><dt><span>variable_id :</span></dt><dd>fracLut</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 8MB\n",
@@ -1809,7 +1825,7 @@
        "    area_label:            u\n",
        "    branded_variable:      fracLut_tpt-u-hxy-u\n",
        "    branding_suffix:       tpt-u-hxy-u\n",
-       "    creation_date:         2026-05-31T18:49:31Z\n",
+       "    creation_date:         2026-05-31T18:59:27Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -1819,7 +1835,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-31T18:49:31Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-05-31T18:59:27Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1838,7 +1854,7 @@
        "    table_info:            Name: CMIP7_land.json; Creation Date:(2026-04-21 1...\n",
        "    temporal_label:        tpt\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/0d2144de-0837-47c3-b1ad-763c1f94c0f9\n",
+       "    tracking_id:           hdl:21.14107/a59f57da-ce0f-4023-be59-de2aafa50663\n",
        "    variable_id:           fracLut\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
@@ -1870,16 +1886,16 @@
    "id": "1864a108",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-31T18:49:31.181168Z",
-     "iopub.status.busy": "2026-05-31T18:49:31.181069Z",
-     "iopub.status.idle": "2026-05-31T18:49:31.738198Z",
-     "shell.execute_reply": "2026-05-31T18:49:31.737674Z"
+     "iopub.execute_input": "2026-05-31T18:59:27.232930Z",
+     "iopub.status.busy": "2026-05-31T18:59:27.232815Z",
+     "iopub.status.idle": "2026-05-31T18:59:27.770720Z",
+     "shell.execute_reply": "2026-05-31T18:59:27.770135Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1300x760 with 5 Axes>"
       ]
@@ -1915,7 +1931,8 @@
     "\n",
     "colorbar = fig.colorbar(mesh, ax=axes, location=\"right\", shrink=0.86, pad=0.02)\n",
     "colorbar.set_label(\"%\")\n",
-    "fig.suptitle(\"CMIP7 fracLut by land-use tile, first month\")\n",
+    "time_label = month_year_label(ds[\"time\"])\n",
+    "fig.suptitle(f\"CMIP7 fracLut by land-use tile, {time_label}\")\n",
     "plt.show()\n"
    ]
   }
diff --git a/notebooks/07_non_lat_lon_sea_ice_concentration.ipynb b/notebooks/07_non_lat_lon_sea_ice_concentration.ipynb
index bfd90ff5..fabb145e 100644
--- a/notebooks/07_non_lat_lon_sea_ice_concentration.ipynb
+++ b/notebooks/07_non_lat_lon_sea_ice_concentration.ipynb
@@ -16,20 +16,13 @@
    "id": "afaab710",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-31T18:49:52.140852Z",
-     "iopub.status.busy": "2026-05-31T18:49:52.140758Z",
-     "iopub.status.idle": "2026-05-31T18:50:03.500683Z",
-     "shell.execute_reply": "2026-05-31T18:50:03.500229Z"
+     "iopub.execute_input": "2026-05-31T18:59:28.747092Z",
+     "iopub.status.busy": "2026-05-31T18:59:28.746966Z",
+     "iopub.status.idle": "2026-05-31T18:59:29.313813Z",
+     "shell.execute_reply": "2026-05-31T18:59:29.313224Z"
     }
    },
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Matplotlib is building the font cache; this may take a moment.\n"
-     ]
-    },
     {
      "name": "stdout",
      "output_type": "stream",
@@ -40,6 +33,7 @@
    ],
    "source": [
     "from pathlib import Path\n",
+    "import calendar\n",
     "import json\n",
     "import os\n",
     "import shutil\n",
@@ -71,6 +65,21 @@
     "    if not data_path.exists():\n",
     "        raise FileNotFoundError(f\"Source data file not found: {data_path}\")\n",
     "\n",
+    "\n",
+    "\n",
+    "def month_year_label(time_coord):\n",
+    "    decoded_time = xr.coding.times.decode_cf_datetime(\n",
+    "        time_coord.values[:1],\n",
+    "        time_coord.attrs[\"units\"],\n",
+    "        calendar=time_coord.attrs.get(\"calendar\", \"standard\"),\n",
+    "    )[0]\n",
+    "    if hasattr(decoded_time, \"strftime\"):\n",
+    "        return decoded_time.strftime(\"%B %Y\")\n",
+    "    date_text = np.datetime_as_string(decoded_time, unit=\"D\")\n",
+    "    year, month = date_text.split(\"-\")[:2]\n",
+    "    return f\"{calendar.month_name[int(month)]} {year}\"\n",
+    "\n",
+    "\n",
     "print(f\"Using CMIP7 tables from {TABLES_DIR}\")"
    ]
   },
@@ -80,10 +89,10 @@
    "id": "2a3d3a10",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-31T18:50:03.502729Z",
-     "iopub.status.busy": "2026-05-31T18:50:03.502547Z",
-     "iopub.status.idle": "2026-05-31T18:50:03.811056Z",
-     "shell.execute_reply": "2026-05-31T18:50:03.810578Z"
+     "iopub.execute_input": "2026-05-31T18:59:29.315368Z",
+     "iopub.status.busy": "2026-05-31T18:59:29.315173Z",
+     "iopub.status.idle": "2026-05-31T18:59:29.467672Z",
+     "shell.execute_reply": "2026-05-31T18:59:29.467190Z"
     }
    },
    "outputs": [
@@ -690,7 +699,7 @@
        "    product_id:                osi-450-a1\n",
        "    doi:                       10.15770/EUM_SAF_OSI_0023\n",
        "    references:                Product User Manual (2025),Algorithm Theoretic...\n",
-       "    license:                   http://creativecommons.org/licenses/by/4.0/</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c673d643-9773-4ec9-84c0-cc7b4ab89cb9' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-c673d643-9773-4ec9-84c0-cc7b4ab89cb9' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>yc</span>: 432</li><li><span class='xr-has-index'>xc</span>: 432</li><li><span>nv</span>: 2</li></ul></div></li><li class='xr-section-item'><input id='section-83d14f86-3d12-4c1b-89da-d53e5c507891' class='xr-section-summary-in' type='checkbox' checked /><label for='section-83d14f86-3d12-4c1b-89da-d53e5c507891' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.329e+09</div><input id='attrs-1587490e-5215-445a-8c94-be670beda91d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1587490e-5215-445a-8c94-be670beda91d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b995fced-0a99-4e55-8e2e-4062bfed4bea' class='xr-var-data-in' type='checkbox'><label for='data-b995fced-0a99-4e55-8e2e-4062bfed4bea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>reference time of product</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>seconds since 1978-01-01</dd><dt><span>calendar :</span></dt><dd>standard</dd></dl></div><div class='xr-var-data'><pre>array([1.329394e+09])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yc</span></div><div class='xr-var-dims'>(yc)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.388e+03 5.362e+03 ... -5.388e+03</div><input id='attrs-3ad8d479-ed4f-48a7-9f06-8edd7a1df5f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ad8d479-ed4f-48a7-9f06-8edd7a1df5f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4161fb4-807a-4d20-88c0-f7815251c1d6' class='xr-var-data-in' type='checkbox'><label for='data-c4161fb4-807a-4d20-88c0-f7815251c1d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>km</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection (northings)</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 5387.5,  5362.5,  5337.5, ..., -5337.5, -5362.5, -5387.5], shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xc</span></div><div class='xr-var-dims'>(xc)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.388e+03 -5.362e+03 ... 5.388e+03</div><input id='attrs-40069751-adb5-4b83-a623-52c3223370cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40069751-adb5-4b83-a623-52c3223370cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb872cfb-54c9-4426-9836-d04a9a2f4713' class='xr-var-data-in' type='checkbox'><label for='data-fb872cfb-54c9-4426-9836-d04a9a2f4713' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>km</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection (eastings)</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-5387.5, -5362.5, -5337.5, ...,  5337.5,  5362.5,  5387.5], shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(yc, xc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>16.62 16.82 17.02 ... 16.82 16.62</div><input id='attrs-39d73391-bbd4-4fb0-a940-b3036c8b1c54' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39d73391-bbd4-4fb0-a940-b3036c8b1c54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34e85b6b-03dc-437f-b848-6ca52d0448f2' class='xr-var-data-in' type='checkbox'><label for='data-34e85b6b-03dc-437f-b848-6ca52d0448f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude coordinate</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([[16.623926, 16.822655, 17.020658, ..., 17.020658, 16.822655,\n",
+       "    license:                   http://creativecommons.org/licenses/by/4.0/</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2d424034-068d-4f7b-84bd-54440d5af061' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-2d424034-068d-4f7b-84bd-54440d5af061' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>yc</span>: 432</li><li><span class='xr-has-index'>xc</span>: 432</li><li><span>nv</span>: 2</li></ul></div></li><li class='xr-section-item'><input id='section-e7875895-0a5e-4f60-89a7-9d055b767546' class='xr-section-summary-in' type='checkbox' checked /><label for='section-e7875895-0a5e-4f60-89a7-9d055b767546' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.329e+09</div><input id='attrs-cca01738-23da-440b-8bd0-b3697700528d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cca01738-23da-440b-8bd0-b3697700528d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b8a99fe-f659-4c03-9969-c9ce905d747c' class='xr-var-data-in' type='checkbox'><label for='data-3b8a99fe-f659-4c03-9969-c9ce905d747c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>reference time of product</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>seconds since 1978-01-01</dd><dt><span>calendar :</span></dt><dd>standard</dd></dl></div><div class='xr-var-data'><pre>array([1.329394e+09])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yc</span></div><div class='xr-var-dims'>(yc)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.388e+03 5.362e+03 ... -5.388e+03</div><input id='attrs-86a3de97-828d-4992-81b9-02dc327faa64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86a3de97-828d-4992-81b9-02dc327faa64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-226f9b58-c6fb-461a-8788-7bc3dab476ff' class='xr-var-data-in' type='checkbox'><label for='data-226f9b58-c6fb-461a-8788-7bc3dab476ff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>km</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection (northings)</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 5387.5,  5362.5,  5337.5, ..., -5337.5, -5362.5, -5387.5], shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xc</span></div><div class='xr-var-dims'>(xc)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.388e+03 -5.362e+03 ... 5.388e+03</div><input id='attrs-421a2658-54e3-45a9-9449-ce25ecb70372' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-421a2658-54e3-45a9-9449-ce25ecb70372' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af4b1167-bf42-468b-a909-3cbb71afac49' class='xr-var-data-in' type='checkbox'><label for='data-af4b1167-bf42-468b-a909-3cbb71afac49' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>km</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection (eastings)</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-5387.5, -5362.5, -5337.5, ...,  5337.5,  5362.5,  5387.5], shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(yc, xc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>16.62 16.82 17.02 ... 16.82 16.62</div><input id='attrs-323eac94-338c-4842-93b7-3d820ad2b8ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-323eac94-338c-4842-93b7-3d820ad2b8ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54c1697e-13c2-4485-80db-ff10114186ab' class='xr-var-data-in' type='checkbox'><label for='data-54c1697e-13c2-4485-80db-ff10114186ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude coordinate</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([[16.623926, 16.822655, 17.020658, ..., 17.020658, 16.822655,\n",
        "        16.623926],\n",
        "       [16.822655, 17.021584, 17.219795, ..., 17.219795, 17.021584,\n",
        "        16.822655],\n",
@@ -702,7 +711,7 @@
        "       [16.822655, 17.021584, 17.219795, ..., 17.219795, 17.021584,\n",
        "        16.822655],\n",
        "       [16.623926, 16.822655, 17.020658, ..., 17.020658, 16.822655,\n",
-       "        16.623926]], shape=(432, 432), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(yc, xc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-135.0 -135.1 -135.3 ... 44.87 45.0</div><input id='attrs-1e0fd6b1-611a-48f5-860a-65d7676dfa17' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e0fd6b1-611a-48f5-860a-65d7676dfa17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb454fd9-8dfc-4d49-a089-3c19210f1dd8' class='xr-var-data-in' type='checkbox'><label for='data-fb454fd9-8dfc-4d49-a089-3c19210f1dd8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude coordinate</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([[-135.      , -135.13324 , -135.2671  , ...,  135.2671  ,\n",
+       "        16.623926]], shape=(432, 432), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(yc, xc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-135.0 -135.1 -135.3 ... 44.87 45.0</div><input id='attrs-ae3be73c-9831-422a-a8f4-c993c84b8222' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae3be73c-9831-422a-a8f4-c993c84b8222' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc32fc2f-c4b6-4be2-bf41-a77021e2f9ac' class='xr-var-data-in' type='checkbox'><label for='data-dc32fc2f-c4b6-4be2-bf41-a77021e2f9ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude coordinate</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([[-135.      , -135.13324 , -135.2671  , ...,  135.2671  ,\n",
        "         135.13324 ,  135.      ],\n",
        "       [-134.86676 , -135.      , -135.13387 , ...,  135.13387 ,\n",
        "         135.      ,  134.86676 ],\n",
@@ -714,19 +723,19 @@
        "       [ -45.133247,  -45.      ,  -44.86613 , ...,   44.86613 ,\n",
        "          45.      ,   45.133247],\n",
        "       [ -45.      ,  -44.866753,  -44.732887, ...,   44.732887,\n",
-       "          44.866753,   45.      ]], shape=(432, 432), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-59b2a901-b55b-4bbb-94f4-a04a36c134b4' class='xr-section-summary-in' type='checkbox' checked /><label for='section-59b2a901-b55b-4bbb-94f4-a04a36c134b4' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Lambert_Azimuthal_Grid</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>-2147483647</div><input id='attrs-0e91d1a8-8071-462d-be5d-15c3d96dc5a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e91d1a8-8071-462d-be5d-15c3d96dc5a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eab08e04-9912-422b-9152-ccc1c0c452a7' class='xr-var-data-in' type='checkbox'><label for='data-eab08e04-9912-422b-9152-ccc1c0c452a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping_name :</span></dt><dd>lambert_azimuthal_equal_area</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>90.0</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>proj4_string :</span></dt><dd>+proj=laea +lon_0=0 +datum=WGS84 +ellps=WGS84 +lat_0=90.0</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ice_conc</span></div><div class='xr-var-dims'>(time, yc, xc)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-9dfff8b1-db78-4c4e-8620-7a67075199e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9dfff8b1-db78-4c4e-8620-7a67075199e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e9c3ced-f1f0-432d-9acc-f7132369b3c8' class='xr-var-data-in' type='checkbox'><label for='data-8e9c3ced-f1f0-432d-9acc-f7132369b3c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>fully filtered concentration of sea ice using atmospheric correction of brightness temperatures and open water filters</dd><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>grid_mapping :</span></dt><dd>Lambert_Azimuthal_Grid</dd><dt><span>ancillary_variables :</span></dt><dd>total_standard_uncertainty status_flag</dd><dt><span>comment :</span></dt><dd>this field is the primary sea ice concentration estimate for this climate data record</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "          44.866753,   45.      ]], shape=(432, 432), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2e704e1a-cea0-4d60-a090-32f7746c61c3' class='xr-section-summary-in' type='checkbox' checked /><label for='section-2e704e1a-cea0-4d60-a090-32f7746c61c3' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Lambert_Azimuthal_Grid</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>-2147483647</div><input id='attrs-fcd50d09-a3b9-4c03-bd3d-1c9d2536a00f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fcd50d09-a3b9-4c03-bd3d-1c9d2536a00f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a329ef3a-fe98-4a8f-ada9-9cbd80e33c8a' class='xr-var-data-in' type='checkbox'><label for='data-a329ef3a-fe98-4a8f-ada9-9cbd80e33c8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping_name :</span></dt><dd>lambert_azimuthal_equal_area</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>90.0</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>proj4_string :</span></dt><dd>+proj=laea +lon_0=0 +datum=WGS84 +ellps=WGS84 +lat_0=90.0</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ice_conc</span></div><div class='xr-var-dims'>(time, yc, xc)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-13447663-1d24-49c0-8d00-9ed10cc85127' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13447663-1d24-49c0-8d00-9ed10cc85127' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c07dec5b-cf9e-4246-9afe-891f9e69cdb7' class='xr-var-data-in' type='checkbox'><label for='data-c07dec5b-cf9e-4246-9afe-891f9e69cdb7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>fully filtered concentration of sea ice using atmospheric correction of brightness temperatures and open water filters</dd><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>grid_mapping :</span></dt><dd>Lambert_Azimuthal_Grid</dd><dt><span>ancillary_variables :</span></dt><dd>total_standard_uncertainty status_flag</dd><dt><span>comment :</span></dt><dd>this field is the primary sea ice concentration estimate for this climate data record</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "        ...,\n",
        "        [ 0.,  0.,  0., ..., nan, nan, nan],\n",
        "        [ 0.,  0.,  0., ..., nan, nan, nan],\n",
-       "        [ 0.,  0.,  0., ..., nan, nan, nan]]], shape=(1, 432, 432))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>raw_ice_conc_values</span></div><div class='xr-var-dims'>(time, yc, xc)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-1505587a-0799-4d78-975b-939cddf7be21' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1505587a-0799-4d78-975b-939cddf7be21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce72a60a-acd5-4c43-bd97-d5a9e26ef018' class='xr-var-data-in' type='checkbox'><label for='data-ce72a60a-acd5-4c43-bd97-d5a9e26ef018' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea ice concentration estimates as retrieved by the algorithm, and that were edited away by the various filters</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>grid_mapping :</span></dt><dd>Lambert_Azimuthal_Grid</dd><dt><span>comment :</span></dt><dd>this field can be used in combination with &#x27;ice_conc&#x27; to access un-bounded normal distribution of sea ice concentration estimates corresponding to the uncertainty estimate in &#x27;total_standard_uncertainty&#x27;. It does also feature some amount of un-physical data (below 0% and above 100%).</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
+       "        [ 0.,  0.,  0., ..., nan, nan, nan]]], shape=(1, 432, 432))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>raw_ice_conc_values</span></div><div class='xr-var-dims'>(time, yc, xc)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-9352acf8-8c9a-427a-aaef-05608834bd4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9352acf8-8c9a-427a-aaef-05608834bd4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87835b53-a26a-417a-9535-f6f86d841bfb' class='xr-var-data-in' type='checkbox'><label for='data-87835b53-a26a-417a-9535-f6f86d841bfb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea ice concentration estimates as retrieved by the algorithm, and that were edited away by the various filters</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>grid_mapping :</span></dt><dd>Lambert_Azimuthal_Grid</dd><dt><span>comment :</span></dt><dd>this field can be used in combination with &#x27;ice_conc&#x27; to access un-bounded normal distribution of sea ice concentration estimates corresponding to the uncertainty estimate in &#x27;total_standard_uncertainty&#x27;. It does also feature some amount of un-physical data (below 0% and above 100%).</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
        "        [nan, nan, nan, ..., nan, nan, nan],\n",
        "        [nan, nan, nan, ..., nan, nan, nan],\n",
        "        ...,\n",
        "        [nan, nan, nan, ..., nan, nan, nan],\n",
        "        [nan, nan, nan, ..., nan, nan, nan],\n",
-       "        [nan, nan, nan, ..., nan, nan, nan]]], shape=(1, 432, 432))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>status_flag</span></div><div class='xr-var-dims'>(time, yc, xc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>128.0 128.0 128.0 ... 1.0 1.0 1.0</div><input id='attrs-b2db253a-7ce9-440c-94c5-a382031963d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2db253a-7ce9-440c-94c5-a382031963d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4df61fb2-d152-45a2-bc10-48c72e56f163' class='xr-var-data-in' type='checkbox'><label for='data-4df61fb2-d152-45a2-bc10-48c72e56f163' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>status flag bit array for sea ice concentration retrievals</dd><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction status_flag</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>32767</dd><dt><span>grid_mapping :</span></dt><dd>Lambert_Azimuthal_Grid</dd><dt><span>flag_masks :</span></dt><dd>[  1   2   4   8  16  32  64 128]</dd><dt><span>flag_meanings :</span></dt><dd>land lake open_water_filtered land_spill_over high_t2m spatial_interp temporal_interp max_ice_climo</dd><dt><span>flag_descriptions :</span></dt><dd>\n",
+       "        [nan, nan, nan, ..., nan, nan, nan]]], shape=(1, 432, 432))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>status_flag</span></div><div class='xr-var-dims'>(time, yc, xc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>128.0 128.0 128.0 ... 1.0 1.0 1.0</div><input id='attrs-e4b4ed69-d300-4f06-93f0-dcba60a9028a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4b4ed69-d300-4f06-93f0-dcba60a9028a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a4e4abb-d40f-4a7c-b1af-d0336d52d678' class='xr-var-data-in' type='checkbox'><label for='data-1a4e4abb-d40f-4a7c-b1af-d0336d52d678' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>status flag bit array for sea ice concentration retrievals</dd><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction status_flag</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>32767</dd><dt><span>grid_mapping :</span></dt><dd>Lambert_Azimuthal_Grid</dd><dt><span>flag_masks :</span></dt><dd>[  1   2   4   8  16  32  64 128]</dd><dt><span>flag_meanings :</span></dt><dd>land lake open_water_filtered land_spill_over high_t2m spatial_interp temporal_interp max_ice_climo</dd><dt><span>flag_descriptions :</span></dt><dd>\n",
        "all bits to 0 (flag 0): Nominal retrieval by the SIC algorithm\n",
        "bit 1 (flag 1): Position is over land\n",
        "bit 2 (flag 2): Position is lake\n",
@@ -742,7 +751,7 @@
        "        [128., 128., 128., ...,   1.,   1.,   1.],\n",
        "        [128., 128., 128., ...,   1.,   1.,   1.],\n",
        "        [128., 128., 128., ...,   1.,   1.,   1.]]],\n",
-       "      shape=(1, 432, 432), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nv)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.328e+09 1.331e+09</div><input id='attrs-d0d1be2e-b229-49c2-ae22-bce2f3d3465a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d0d1be2e-b229-49c2-ae22-bce2f3d3465a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea151b10-368b-4278-9089-014b2e49c393' class='xr-var-data-in' type='checkbox'><label for='data-ea151b10-368b-4278-9089-014b2e49c393' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.3280544e+09, 1.3305600e+09]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c72d1599-d645-4d2f-a33c-83fed530c655' class='xr-section-summary-in' type='checkbox' checked /><label for='section-c72d1599-d645-4d2f-a33c-83fed530c655' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(43)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>Monthly Sea Ice Concentration Climate Data Record Version 3 (SMMR, SSM/I, and SSMIS) from the EUMETSAT OSI SAF</dd><dt><span>summary :</span></dt><dd>This climate data record of sea ice concentration is obtained from coarse resolution passive microwave satellite data (SMMR, SSM/I, and SSMIS) over the polar regions (Arctic and Antarctic). The processing chain features: 1) dynamic tuning of tie-points and algorithms,  2) correction of atmospheric noise using a Radiative Transfer Model,  3) computation of per-pixel uncertainties, and 4) an optimal hybrid sea ice concentration algorithm. This dataset was generated by the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF). The ESA CCI Programme contributed with Research and Development on the algorithms.</dd><dt><span>topiccategory :</span></dt><dd>Oceans ClimatologyMeteorologyAtmosphere</dd><dt><span>geospatial_lat_min :</span></dt><dd>16.62393</dd><dt><span>geospatial_lat_max :</span></dt><dd>90.0</dd><dt><span>geospatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>180.0</dd><dt><span>geospatial_vertical_min :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_max :</span></dt><dd>0.0</dd><dt><span>sensor :</span></dt><dd>SMMR,SSM/I,SSMIS</dd><dt><span>platform :</span></dt><dd>Nimbus-7,DMSP-F&lt;08,10,11,13,14,15&gt;,DMSP-F&lt;16,17,18&gt;</dd><dt><span>time_coverage_start :</span></dt><dd>2020-02-01T00:00:00Z</dd><dt><span>time_coverage_end :</span></dt><dd>2020-03-01T00:00:00Z</dd><dt><span>time_coverage_duration :</span></dt><dd>P1M</dd><dt><span>time_coverage_resolution :</span></dt><dd>P1M</dd><dt><span>project :</span></dt><dd>OSI SAF - EUMETSAT</dd><dt><span>institution :</span></dt><dd>OSISAF - EUMETSAT</dd><dt><span>creator_name :</span></dt><dd>OSISAF - EUMETSAT</dd><dt><span>creator_type :</span></dt><dd>institution</dd><dt><span>creator_url :</span></dt><dd>https://osi-saf.eumetsat.int/</dd><dt><span>creator_email :</span></dt><dd>osi-saf.helpdesk@meteo.fr</dd><dt><span>date_created :</span></dt><dd>2023-03-20</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>spatial_resolution :</span></dt><dd>25.0 km grid spacing</dd><dt><span>geospatial_bounds_crs :</span></dt><dd>EPSG:6931</dd><dt><span>tracking_id :</span></dt><dd>537df889-640b-44f8-bb9f-f49d9b281ca1</dd><dt><span>naming_authority :</span></dt><dd>int.eumetsat</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (Version 78, 21 September 2021)</dd><dt><span>product_name :</span></dt><dd>osi_saf_sea_ice_conc_climate_data_record_smmrssmissmis</dd><dt><span>keywords :</span></dt><dd>GCMDSK:Earth Science &gt; Cryosphere &gt; Sea Ice &gt; Sea Ice Concentration, GCMDSK:Earth Science &gt; Oceans &gt; Sea Ice &gt; Sea Ice Concentration, GCMDSK:Earth Science &gt; Climate Indicators &gt; Cryospheric Indicators &gt; Sea Ice Concentration, GCMDLOC:Geographic Region &gt; Northern Hemisphere, GCMDLOC:Vertical Location &gt; Sea Surface, GCMDPROV: Government Agencies-non-US &gt; Norway &gt; NO/MET &gt; Norwegian Meteorological Institute</dd><dt><span>keywords_vocabulary :</span></dt><dd>GCMDSK:GCMD Science Keywords:https://gcmd.earthdata.nasa.gov/kms/concepts/concept_scheme/sciencekeywords, GCMDPROV:GCMD Providers:https://gcmd.earthdata.nasa.gov/kms/concepts/concept_scheme/providers, GCMDLOC:GCMD Locations:https://gcmd.earthdata.nasa.gov/kms/concepts/concept_scheme/locations</dd><dt><span>Conventions :</span></dt><dd>CF-1.7,ACDD-1.3</dd><dt><span>algorithm :</span></dt><dd>SICCI3LF (19V, 37V, 37H)</dd><dt><span>contributor_name :</span></dt><dd>Thomas Lavergne,Atle Soerensen,Rasmus Tonboe,Courtenay Strong,Matilde Kreiner,Roberto Saldo,Anton Birkedal,Fabrizio Baordo,Trygve Aspenes,Steinar Eastwood</dd><dt><span>contributor_role :</span></dt><dd>PrincipalInvestigator,author,author,author,author,author,author,author,author,author</dd><dt><span>source :</span></dt><dd>FCDR of SMMR / SSMI / SSMIS Brightness Temperatures R4 from EUMETSAT Climate Monitoring SAF (doi:10.5676/EUM_SAF_CM/FCDR_MWI/V004), ERA5</dd><dt><span>product_status :</span></dt><dd>released</dd><dt><span>history :</span></dt><dd>2023-03-20T13:57:20Z creation\n",
+       "      shape=(1, 432, 432), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nv)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.328e+09 1.331e+09</div><input id='attrs-f918f5a7-b35c-43e1-b482-accff3e02ebc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f918f5a7-b35c-43e1-b482-accff3e02ebc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc5dccde-2543-4891-8f4c-895174c3cbc5' class='xr-var-data-in' type='checkbox'><label for='data-dc5dccde-2543-4891-8f4c-895174c3cbc5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.3280544e+09, 1.3305600e+09]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4156d26b-63ba-4759-83ca-c7e8264b1eae' class='xr-section-summary-in' type='checkbox' checked /><label for='section-4156d26b-63ba-4759-83ca-c7e8264b1eae' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(43)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>Monthly Sea Ice Concentration Climate Data Record Version 3 (SMMR, SSM/I, and SSMIS) from the EUMETSAT OSI SAF</dd><dt><span>summary :</span></dt><dd>This climate data record of sea ice concentration is obtained from coarse resolution passive microwave satellite data (SMMR, SSM/I, and SSMIS) over the polar regions (Arctic and Antarctic). The processing chain features: 1) dynamic tuning of tie-points and algorithms,  2) correction of atmospheric noise using a Radiative Transfer Model,  3) computation of per-pixel uncertainties, and 4) an optimal hybrid sea ice concentration algorithm. This dataset was generated by the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF). The ESA CCI Programme contributed with Research and Development on the algorithms.</dd><dt><span>topiccategory :</span></dt><dd>Oceans ClimatologyMeteorologyAtmosphere</dd><dt><span>geospatial_lat_min :</span></dt><dd>16.62393</dd><dt><span>geospatial_lat_max :</span></dt><dd>90.0</dd><dt><span>geospatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>180.0</dd><dt><span>geospatial_vertical_min :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_max :</span></dt><dd>0.0</dd><dt><span>sensor :</span></dt><dd>SMMR,SSM/I,SSMIS</dd><dt><span>platform :</span></dt><dd>Nimbus-7,DMSP-F&lt;08,10,11,13,14,15&gt;,DMSP-F&lt;16,17,18&gt;</dd><dt><span>time_coverage_start :</span></dt><dd>2020-02-01T00:00:00Z</dd><dt><span>time_coverage_end :</span></dt><dd>2020-03-01T00:00:00Z</dd><dt><span>time_coverage_duration :</span></dt><dd>P1M</dd><dt><span>time_coverage_resolution :</span></dt><dd>P1M</dd><dt><span>project :</span></dt><dd>OSI SAF - EUMETSAT</dd><dt><span>institution :</span></dt><dd>OSISAF - EUMETSAT</dd><dt><span>creator_name :</span></dt><dd>OSISAF - EUMETSAT</dd><dt><span>creator_type :</span></dt><dd>institution</dd><dt><span>creator_url :</span></dt><dd>https://osi-saf.eumetsat.int/</dd><dt><span>creator_email :</span></dt><dd>osi-saf.helpdesk@meteo.fr</dd><dt><span>date_created :</span></dt><dd>2023-03-20</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>spatial_resolution :</span></dt><dd>25.0 km grid spacing</dd><dt><span>geospatial_bounds_crs :</span></dt><dd>EPSG:6931</dd><dt><span>tracking_id :</span></dt><dd>537df889-640b-44f8-bb9f-f49d9b281ca1</dd><dt><span>naming_authority :</span></dt><dd>int.eumetsat</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (Version 78, 21 September 2021)</dd><dt><span>product_name :</span></dt><dd>osi_saf_sea_ice_conc_climate_data_record_smmrssmissmis</dd><dt><span>keywords :</span></dt><dd>GCMDSK:Earth Science &gt; Cryosphere &gt; Sea Ice &gt; Sea Ice Concentration, GCMDSK:Earth Science &gt; Oceans &gt; Sea Ice &gt; Sea Ice Concentration, GCMDSK:Earth Science &gt; Climate Indicators &gt; Cryospheric Indicators &gt; Sea Ice Concentration, GCMDLOC:Geographic Region &gt; Northern Hemisphere, GCMDLOC:Vertical Location &gt; Sea Surface, GCMDPROV: Government Agencies-non-US &gt; Norway &gt; NO/MET &gt; Norwegian Meteorological Institute</dd><dt><span>keywords_vocabulary :</span></dt><dd>GCMDSK:GCMD Science Keywords:https://gcmd.earthdata.nasa.gov/kms/concepts/concept_scheme/sciencekeywords, GCMDPROV:GCMD Providers:https://gcmd.earthdata.nasa.gov/kms/concepts/concept_scheme/providers, GCMDLOC:GCMD Locations:https://gcmd.earthdata.nasa.gov/kms/concepts/concept_scheme/locations</dd><dt><span>Conventions :</span></dt><dd>CF-1.7,ACDD-1.3</dd><dt><span>algorithm :</span></dt><dd>SICCI3LF (19V, 37V, 37H)</dd><dt><span>contributor_name :</span></dt><dd>Thomas Lavergne,Atle Soerensen,Rasmus Tonboe,Courtenay Strong,Matilde Kreiner,Roberto Saldo,Anton Birkedal,Fabrizio Baordo,Trygve Aspenes,Steinar Eastwood</dd><dt><span>contributor_role :</span></dt><dd>PrincipalInvestigator,author,author,author,author,author,author,author,author,author</dd><dt><span>source :</span></dt><dd>FCDR of SMMR / SSMI / SSMIS Brightness Temperatures R4 from EUMETSAT Climate Monitoring SAF (doi:10.5676/EUM_SAF_CM/FCDR_MWI/V004), ERA5</dd><dt><span>product_status :</span></dt><dd>released</dd><dt><span>history :</span></dt><dd>2023-03-20T13:57:20Z creation\n",
        "2025-02-17T11:05:00Z assign new DOI and version number 3.1</dd><dt><span>product_version :</span></dt><dd>3.1</dd><dt><span>product_id :</span></dt><dd>osi-450-a1</dd><dt><span>doi :</span></dt><dd>10.15770/EUM_SAF_OSI_0023</dd><dt><span>references :</span></dt><dd>Product User Manual (2025),Algorithm Theoretical Basis Document (2025),Validation Report (2025),https://osi-saf.eumetsat.int/products/osi-450-a1</dd><dt><span>license :</span></dt><dd>http://creativecommons.org/licenses/by/4.0/</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
@@ -831,10 +840,10 @@
    "id": "5edce0e9",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-31T18:50:03.812925Z",
-     "iopub.status.busy": "2026-05-31T18:50:03.812750Z",
-     "iopub.status.idle": "2026-05-31T18:50:03.856864Z",
-     "shell.execute_reply": "2026-05-31T18:50:03.856249Z"
+     "iopub.execute_input": "2026-05-31T18:59:29.469343Z",
+     "iopub.status.busy": "2026-05-31T18:59:29.469209Z",
+     "iopub.status.idle": "2026-05-31T18:59:29.518292Z",
+     "shell.execute_reply": "2026-05-31T18:59:29.517705Z"
     }
    },
    "outputs": [
@@ -950,10 +959,10 @@
    "id": "b7ca0a5a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-31T18:50:03.859155Z",
-     "iopub.status.busy": "2026-05-31T18:50:03.859033Z",
-     "iopub.status.idle": "2026-05-31T18:50:04.127645Z",
-     "shell.execute_reply": "2026-05-31T18:50:04.127078Z"
+     "iopub.execute_input": "2026-05-31T18:59:29.520125Z",
+     "iopub.status.busy": "2026-05-31T18:59:29.519950Z",
+     "iopub.status.idle": "2026-05-31T18:59:29.775947Z",
+     "shell.execute_reply": "2026-05-31T18:59:29.775157Z"
     }
    },
    "outputs": [
@@ -1032,10 +1041,10 @@
    "id": "c016fff2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-31T18:50:04.129045Z",
-     "iopub.status.busy": "2026-05-31T18:50:04.128948Z",
-     "iopub.status.idle": "2026-05-31T18:50:04.167031Z",
-     "shell.execute_reply": "2026-05-31T18:50:04.166654Z"
+     "iopub.execute_input": "2026-05-31T18:59:29.778300Z",
+     "iopub.status.busy": "2026-05-31T18:59:29.778205Z",
+     "iopub.status.idle": "2026-05-31T18:59:29.821342Z",
+     "shell.execute_reply": "2026-05-31T18:59:29.820679Z"
     }
    },
    "outputs": [
@@ -1605,7 +1614,7 @@
        "    area_label:            u\n",
        "    branded_variable:      siconc_tavg-u-hxy-u\n",
        "    branding_suffix:       tavg-u-hxy-u\n",
-       "    creation_date:         2026-05-31T18:50:03Z\n",
+       "    creation_date:         2026-05-31T18:59:29Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -1614,7 +1623,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-31T18:50:03Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-05-31T18:59:29Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1633,14 +1642,14 @@
        "    table_info:            Name: CMIP7_seaIce.json; Creation Date:(2026-04-21...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/a734bbcb-ddc2-49f0-843e-7cb1214ee577\n",
+       "    tracking_id:           hdl:21.14107/579760dd-61a4-4dd8-aebf-c19a2ca4ef43\n",
        "    variable_id:           siconc\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b282b0c9-5313-420c-80c9-65757f0c18aa' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-b282b0c9-5313-420c-80c9-65757f0c18aa' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>x</span>: 432</li><li><span class='xr-has-index'>y</span>: 432</li><li><span>vertices</span>: 4</li></ul></div></li><li class='xr-section-item'><input id='section-3be52f9a-4208-4899-a15e-330619ed202f' class='xr-section-summary-in' type='checkbox' checked /><label for='section-3be52f9a-4208-4899-a15e-330619ed202f' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.539e+04</div><input id='attrs-74ce0fae-9bfe-4fd5-8ec0-259cb907fd90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74ce0fae-9bfe-4fd5-8ec0-259cb907fd90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d16d478c-856a-4608-a528-3d5e0216d885' class='xr-var-data-in' type='checkbox'><label for='data-d16d478c-856a-4608-a528-3d5e0216d885' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1978-01-01</dd><dt><span>calendar :</span></dt><dd>standard</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15385.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.388e+06 -5.362e+06 ... 5.388e+06</div><input id='attrs-9056b704-d73d-439a-97a3-a686ac251bf1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9056b704-d73d-439a-97a3-a686ac251bf1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7538f18d-770f-48b8-aaea-d0353c6dfef2' class='xr-var-data-in' type='checkbox'><label for='data-7538f18d-770f-48b8-aaea-d0353c6dfef2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-5387500., -5362500., -5337500., ...,  5337500.,  5362500.,  5387500.],\n",
-       "      shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.388e+06 -5.362e+06 ... 5.388e+06</div><input id='attrs-49bcc603-d5a8-47c3-905e-46a258ad464f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49bcc603-d5a8-47c3-905e-46a258ad464f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f87d97ad-c7b1-4075-b5be-429c0a4946db' class='xr-var-data-in' type='checkbox'><label for='data-f87d97ad-c7b1-4075-b5be-429c0a4946db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-5387500., -5362500., -5337500., ...,  5337500.,  5362500.,  5387500.],\n",
-       "      shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.62 16.82 17.02 ... 16.82 16.62</div><input id='attrs-6674516d-408c-4b4a-8d43-335ffb711267' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6674516d-408c-4b4a-8d43-335ffb711267' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10c3f022-bee8-4598-9cf7-24e31effa802' class='xr-var-data-in' type='checkbox'><label for='data-10c3f022-bee8-4598-9cf7-24e31effa802' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>bounds :</span></dt><dd>vertices_latitude</dd></dl></div><div class='xr-var-data'><pre>array([[16.62392616, 16.82265472, 17.02065849, ..., 17.02065849,\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-87c22d0a-302c-47dc-bd58-0d7a24648f52' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-87c22d0a-302c-47dc-bd58-0d7a24648f52' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>x</span>: 432</li><li><span class='xr-has-index'>y</span>: 432</li><li><span>vertices</span>: 4</li></ul></div></li><li class='xr-section-item'><input id='section-8298f59b-e858-49d7-97ef-1bf900960cb5' class='xr-section-summary-in' type='checkbox' checked /><label for='section-8298f59b-e858-49d7-97ef-1bf900960cb5' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.539e+04</div><input id='attrs-49f92aae-f5a6-4e45-bb47-673cc7732fb2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49f92aae-f5a6-4e45-bb47-673cc7732fb2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-982a95df-fd45-43dc-b50f-42b2291b367b' class='xr-var-data-in' type='checkbox'><label for='data-982a95df-fd45-43dc-b50f-42b2291b367b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1978-01-01</dd><dt><span>calendar :</span></dt><dd>standard</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15385.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.388e+06 -5.362e+06 ... 5.388e+06</div><input id='attrs-65c1b2cf-b98a-4d17-a409-237d3d39dfa1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65c1b2cf-b98a-4d17-a409-237d3d39dfa1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8876d53-f5dd-4ca9-9ced-b57cf23fae78' class='xr-var-data-in' type='checkbox'><label for='data-d8876d53-f5dd-4ca9-9ced-b57cf23fae78' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-5387500., -5362500., -5337500., ...,  5337500.,  5362500.,  5387500.],\n",
+       "      shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.388e+06 -5.362e+06 ... 5.388e+06</div><input id='attrs-ef458cb9-a4b0-4987-a6db-d1616c1ddf53' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef458cb9-a4b0-4987-a6db-d1616c1ddf53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-370649c3-314c-4e91-98e9-6ed3fdb38fa4' class='xr-var-data-in' type='checkbox'><label for='data-370649c3-314c-4e91-98e9-6ed3fdb38fa4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-5387500., -5362500., -5337500., ...,  5337500.,  5362500.,  5387500.],\n",
+       "      shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.62 16.82 17.02 ... 16.82 16.62</div><input id='attrs-456e257f-585e-4d23-8bb7-f2e5df7374fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-456e257f-585e-4d23-8bb7-f2e5df7374fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60c5f9db-5dfa-4711-90f1-cc97540a9c6f' class='xr-var-data-in' type='checkbox'><label for='data-60c5f9db-5dfa-4711-90f1-cc97540a9c6f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>bounds :</span></dt><dd>vertices_latitude</dd></dl></div><div class='xr-var-data'><pre>array([[16.62392616, 16.82265472, 17.02065849, ..., 17.02065849,\n",
        "        16.82265472, 16.62392616],\n",
        "       [16.82265472, 17.02158356, 17.21979523, ..., 17.21979523,\n",
        "        17.02158356, 16.82265472],\n",
@@ -1652,7 +1661,7 @@
        "       [16.82265472, 17.02158356, 17.21979523, ..., 17.21979523,\n",
        "        17.02158356, 16.82265472],\n",
        "       [16.62392616, 16.82265472, 17.02065849, ..., 17.02065849,\n",
-       "        16.82265472, 16.62392616]], shape=(432, 432))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>315.0 314.9 314.7 ... 134.9 135.0</div><input id='attrs-d07108f9-dbc9-40c3-b406-8fce19a5c4aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d07108f9-dbc9-40c3-b406-8fce19a5c4aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3bfb9fe-27a3-4c35-8c36-06f5a118f769' class='xr-var-data-in' type='checkbox'><label for='data-c3bfb9fe-27a3-4c35-8c36-06f5a118f769' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>bounds :</span></dt><dd>vertices_longitude</dd></dl></div><div class='xr-var-data'><pre>array([[315.        , 314.86676025, 314.73287964, ..., 225.2671051 ,\n",
+       "        16.82265472, 16.62392616]], shape=(432, 432))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>315.0 314.9 314.7 ... 134.9 135.0</div><input id='attrs-ba3d7e04-a94f-421d-ab0d-61dafa95ae97' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba3d7e04-a94f-421d-ab0d-61dafa95ae97' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-25058c40-3f8a-42a2-af69-e882e65f8f31' class='xr-var-data-in' type='checkbox'><label for='data-25058c40-3f8a-42a2-af69-e882e65f8f31' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>bounds :</span></dt><dd>vertices_longitude</dd></dl></div><div class='xr-var-data'><pre>array([[315.        , 314.86676025, 314.73287964, ..., 225.2671051 ,\n",
        "        225.13323975, 225.        ],\n",
        "       [315.13323975, 315.        , 314.86611938, ..., 225.13386536,\n",
        "        225.        , 224.86676025],\n",
@@ -1664,7 +1673,7 @@
        "       [ 44.86675262,  45.        ,  45.13386917, ..., 134.86613464,\n",
        "        135.        , 135.13323975],\n",
        "       [ 45.        ,  45.13324738,  45.26711273, ..., 134.7328949 ,\n",
-       "        134.86676025, 135.        ]], shape=(432, 432))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3109b25d-e4ac-4c3d-8de0-9c3bc6f89795' class='xr-section-summary-in' type='checkbox' checked /><label for='section-3109b25d-e4ac-4c3d-8de0-9c3bc6f89795' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.537e+04 1.54e+04</div><input id='attrs-219c5938-3a72-4b5d-a2aa-4229ce4f8acc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-219c5938-3a72-4b5d-a2aa-4229ce4f8acc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c36d04a-0e24-42d1-9ece-990519800f70' class='xr-var-data-in' type='checkbox'><label for='data-6c36d04a-0e24-42d1-9ece-990519800f70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[15371., 15400.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>-2147483647</div><input id='attrs-cdb4b3e2-6137-4e54-bd8b-4fb35474f123' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cdb4b3e2-6137-4e54-bd8b-4fb35474f123' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b854a3c5-3858-472b-9680-4f4f88d539f6' class='xr-var-data-in' type='checkbox'><label for='data-b854a3c5-3858-472b-9680-4f4f88d539f6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping_name :</span></dt><dd>lambert_azimuthal_equal_area</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>90.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_latitude</span></div><div class='xr-var-dims'>(x, y, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.42 16.62 16.82 ... 16.42 16.62</div><input id='attrs-31a33c59-a1fa-4bef-9288-6ebece8da15b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31a33c59-a1fa-4bef-9288-6ebece8da15b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a78a674d-f073-4a7f-aaae-630533b55cba' class='xr-var-data-in' type='checkbox'><label for='data-a78a674d-f073-4a7f-aaae-630533b55cba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[[16.42470792, 16.62369573, 16.822885  , 16.62369573],\n",
+       "        134.86676025, 135.        ]], shape=(432, 432))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fe6bf500-958c-4bb9-acc5-4a1b87fee2bc' class='xr-section-summary-in' type='checkbox' checked /><label for='section-fe6bf500-958c-4bb9-acc5-4a1b87fee2bc' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.537e+04 1.54e+04</div><input id='attrs-48f998bd-9bf4-4400-ab03-b9bd249ef059' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-48f998bd-9bf4-4400-ab03-b9bd249ef059' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7603d33d-535b-4f9a-9ae0-7c875583493b' class='xr-var-data-in' type='checkbox'><label for='data-7603d33d-535b-4f9a-9ae0-7c875583493b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[15371., 15400.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>-2147483647</div><input id='attrs-0aef2598-f0c6-4944-a861-4ac9858b7f7a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0aef2598-f0c6-4944-a861-4ac9858b7f7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c29ddcf0-3dde-491e-adce-7b3fb169456c' class='xr-var-data-in' type='checkbox'><label for='data-c29ddcf0-3dde-491e-adce-7b3fb169456c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping_name :</span></dt><dd>lambert_azimuthal_equal_area</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>90.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_latitude</span></div><div class='xr-var-dims'>(x, y, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.42 16.62 16.82 ... 16.42 16.62</div><input id='attrs-ab90b63c-2c09-4671-9202-11d3a49745a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab90b63c-2c09-4671-9202-11d3a49745a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f73f4bee-a7ea-48c0-9b87-f01f9ff461fa' class='xr-var-data-in' type='checkbox'><label for='data-f73f4bee-a7ea-48c0-9b87-f01f9ff461fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[[16.42470792, 16.62369573, 16.822885  , 16.62369573],\n",
        "        [16.822885  , 17.02135298, 17.22002648, 17.02135298],\n",
        "        [17.22002648, 17.41798082, 17.61614471, 17.41798082],\n",
        "        ...,\n",
@@ -1704,7 +1713,7 @@
        "        [17.61614471, 17.41798082, 17.22002648, 17.41798082],\n",
        "        [17.22002648, 17.02135298, 16.822885  , 17.02135298],\n",
        "        [16.822885  , 16.62369573, 16.42470792, 16.62369573]]],\n",
-       "      shape=(432, 432, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_longitude</span></div><div class='xr-var-dims'>(x, y, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>315.0 315.1 315.0 ... 135.0 135.1</div><input id='attrs-14eb0a5b-3c4c-4f3f-8a0f-3b2784083dbb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14eb0a5b-3c4c-4f3f-8a0f-3b2784083dbb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a672ee8-b510-4038-ba98-3e51d42b5281' class='xr-var-data-in' type='checkbox'><label for='data-6a672ee8-b510-4038-ba98-3e51d42b5281' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[[315.        , 315.1329366 , 315.        , 314.8670634 ],\n",
+       "      shape=(432, 432, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_longitude</span></div><div class='xr-var-dims'>(x, y, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>315.0 315.1 315.0 ... 135.0 135.1</div><input id='attrs-01383107-a2cd-4075-a5f5-c4384e8c60dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01383107-a2cd-4075-a5f5-c4384e8c60dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51d8def9-5766-43a5-984b-11a641f2e7a8' class='xr-var-data-in' type='checkbox'><label for='data-51d8def9-5766-43a5-984b-11a641f2e7a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[[315.        , 315.1329366 , 315.        , 314.8670634 ],\n",
        "        [315.        , 315.1329366 , 315.        , 314.8670634 ],\n",
        "        [315.        , 315.1329366 , 315.        , 314.8670634 ],\n",
        "        ...,\n",
@@ -1744,14 +1753,14 @@
        "        [135.        , 134.8670634 , 135.        , 135.1329366 ],\n",
        "        [135.        , 134.8670634 , 135.        , 135.1329366 ],\n",
        "        [135.        , 134.8670634 , 135.        , 135.1329366 ]]],\n",
-       "      shape=(432, 432, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>siconc</span></div><div class='xr-var-dims'>(time, x, y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-1bfd2c66-b4c0-4c80-b733-f03b54f35e89' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1bfd2c66-b4c0-4c80-b733-f03b54f35e89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b390af3c-417e-4f56-ab5a-4b2fdab397db' class='xr-var-data-in' type='checkbox'><label for='data-b390af3c-417e-4f56-ab5a-4b2fdab397db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction</dd><dt><span>long_name :</span></dt><dd>Sea-Ice Area Percentage (Ocean Grid)</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "      shape=(432, 432, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>siconc</span></div><div class='xr-var-dims'>(time, x, y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-12712f36-cadd-4d62-b350-18ec3b1612f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-12712f36-cadd-4d62-b350-18ec3b1612f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eea8c4b3-e718-4850-a164-5944e80d49fe' class='xr-var-data-in' type='checkbox'><label for='data-eea8c4b3-e718-4850-a164-5944e80d49fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction</dd><dt><span>long_name :</span></dt><dd>Sea-Ice Area Percentage (Ocean Grid)</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "        ...,\n",
        "        [nan, nan, nan, ...,  0.,  0.,  0.],\n",
        "        [nan, nan, nan, ...,  0.,  0.,  0.],\n",
        "        [nan, nan, nan, ...,  0.,  0.,  0.]]],\n",
-       "      shape=(1, 432, 432), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6a95e5d4-011e-4284-8c07-0c4f3664217a' class='xr-section-summary-in' type='checkbox' checked /><label for='section-6a95e5d4-011e-4284-8c07-0c4f3664217a' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(39)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>siconc_tavg-u-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-31T18:50:03Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-31T18:50:03Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>25 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>seaIce</dd><dt><span>region :</span></dt><dd>nh</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_seaIce.json; Creation Date:(2026-04-21 15:01:29) MD5:ac55986d4e9ece44a638ff080fdd9ada</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/a734bbcb-ddc2-49f0-843e-7cb1214ee577</dd><dt><span>variable_id :</span></dt><dd>siconc</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+       "      shape=(1, 432, 432), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-91f021da-b771-4761-b8b4-f4f53e68fb92' class='xr-section-summary-in' type='checkbox' checked /><label for='section-91f021da-b771-4761-b8b4-f4f53e68fb92' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(39)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>siconc_tavg-u-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-31T18:59:29Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-31T18:59:29Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>25 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>seaIce</dd><dt><span>region :</span></dt><dd>nh</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_seaIce.json; Creation Date:(2026-04-21 15:01:29) MD5:ac55986d4e9ece44a638ff080fdd9ada</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/579760dd-61a4-4dd8-aebf-c19a2ca4ef43</dd><dt><span>variable_id :</span></dt><dd>siconc</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 16MB\n",
@@ -1775,7 +1784,7 @@
        "    area_label:            u\n",
        "    branded_variable:      siconc_tavg-u-hxy-u\n",
        "    branding_suffix:       tavg-u-hxy-u\n",
-       "    creation_date:         2026-05-31T18:50:03Z\n",
+       "    creation_date:         2026-05-31T18:59:29Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -1784,7 +1793,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-31T18:50:03Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-05-31T18:59:29Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1803,7 +1812,7 @@
        "    table_info:            Name: CMIP7_seaIce.json; Creation Date:(2026-04-21...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/a734bbcb-ddc2-49f0-843e-7cb1214ee577\n",
+       "    tracking_id:           hdl:21.14107/579760dd-61a4-4dd8-aebf-c19a2ca4ef43\n",
        "    variable_id:           siconc\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
@@ -1835,10 +1844,10 @@
    "id": "8cf16c62",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-31T18:50:04.168849Z",
-     "iopub.status.busy": "2026-05-31T18:50:04.168703Z",
-     "iopub.status.idle": "2026-05-31T18:50:05.043164Z",
-     "shell.execute_reply": "2026-05-31T18:50:05.042597Z"
+     "iopub.execute_input": "2026-05-31T18:59:29.822810Z",
+     "iopub.status.busy": "2026-05-31T18:59:29.822713Z",
+     "iopub.status.idle": "2026-05-31T18:59:30.660242Z",
+     "shell.execute_reply": "2026-05-31T18:59:30.659657Z"
     }
    },
    "outputs": [
@@ -1880,7 +1889,8 @@
     "    parallels = np.arange(40, 91, 10) if is_north else np.arange(-80, -39, 10)\n",
     "    map_plot.drawparallels(parallels, labels=[1, 0, 0, 0], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
     "    map_plot.drawmeridians(np.arange(-180, 181, 45), labels=[0, 0, 0, 1], linewidth=0.4, color=\"0.45\", dashes=[1, 1])\n",
-    "    ax.set_title(f\"CMIP7 siconc on the {hemisphere.upper()} EASE2 projected grid, February 2020\")\n",
+    "    time_label = month_year_label(dataset[\"time\"])\n",
+    "    ax.set_title(f\"CMIP7 siconc on the {hemisphere.upper()} EASE2 projected grid, {time_label}\")\n",
     "    return mesh\n",
     "\n",
     "\n",

From 894779420898e5a6e095ed0d9b81dbea852568b6 Mon Sep 17 00:00:00 2001
From: Chris Mauzey <mauzey1@llnl.gov>
Date: Fri, 5 Jun 2026 14:40:43 -0700
Subject: [PATCH 24/25] Stip out metadata from notebooks

---
 .../01_basic_ocean_surface_temperature.ipynb  | 66 +++------------
 .../02_atmos_surface_air_temperature.ipynb    | 66 +++------------
 .../03_pressure_level_air_temperature.ipynb   | 66 +++------------
 .../04_hybrid_sigma_humidity_tendency.ipynb   | 66 +++------------
 .../05_ocean_heat_transport_by_basin.ipynb    | 66 +++------------
 notebooks/06_land_use_fraction.ipynb          | 80 +++++--------------
 ...07_non_lat_lon_sea_ice_concentration.ipynb | 80 +++++--------------
 7 files changed, 98 insertions(+), 392 deletions(-)

diff --git a/notebooks/01_basic_ocean_surface_temperature.ipynb b/notebooks/01_basic_ocean_surface_temperature.ipynb
index 753eaee2..854a438b 100644
--- a/notebooks/01_basic_ocean_surface_temperature.ipynb
+++ b/notebooks/01_basic_ocean_surface_temperature.ipynb
@@ -11,15 +11,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:15.869286Z",
-     "iopub.status.busy": "2026-05-31T18:59:15.869158Z",
-     "iopub.status.idle": "2026-05-31T18:59:16.811326Z",
-     "shell.execute_reply": "2026-05-31T18:59:16.810896Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -72,15 +65,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:16.830684Z",
-     "iopub.status.busy": "2026-05-31T18:59:16.830492Z",
-     "iopub.status.idle": "2026-05-31T18:59:16.976294Z",
-     "shell.execute_reply": "2026-05-31T18:59:16.975751Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -912,15 +898,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:16.977657Z",
-     "iopub.status.busy": "2026-05-31T18:59:16.977533Z",
-     "iopub.status.idle": "2026-05-31T18:59:16.982540Z",
-     "shell.execute_reply": "2026-05-31T18:59:16.982076Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -979,15 +958,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:16.984059Z",
-     "iopub.status.busy": "2026-05-31T18:59:16.983984Z",
-     "iopub.status.idle": "2026-05-31T18:59:17.085037Z",
-     "shell.execute_reply": "2026-05-31T18:59:17.084392Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -1033,15 +1005,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:17.086755Z",
-     "iopub.status.busy": "2026-05-31T18:59:17.086642Z",
-     "iopub.status.idle": "2026-05-31T18:59:17.108122Z",
-     "shell.execute_reply": "2026-05-31T18:59:17.107596Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1880,15 +1845,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:17.109642Z",
-     "iopub.status.busy": "2026-05-31T18:59:17.109520Z",
-     "iopub.status.idle": "2026-05-31T18:59:17.290850Z",
-     "shell.execute_reply": "2026-05-31T18:59:17.290313Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "data": {
diff --git a/notebooks/02_atmos_surface_air_temperature.ipynb b/notebooks/02_atmos_surface_air_temperature.ipynb
index 0d5a7879..ff6321b8 100644
--- a/notebooks/02_atmos_surface_air_temperature.ipynb
+++ b/notebooks/02_atmos_surface_air_temperature.ipynb
@@ -11,15 +11,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
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-     "shell.execute_reply": "2026-05-31T18:59:18.845672Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -72,15 +65,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:18.848332Z",
-     "iopub.status.busy": "2026-05-31T18:59:18.847916Z",
-     "iopub.status.idle": "2026-05-31T18:59:18.986815Z",
-     "shell.execute_reply": "2026-05-31T18:59:18.986433Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -884,15 +870,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:18.988282Z",
-     "iopub.status.busy": "2026-05-31T18:59:18.988191Z",
-     "iopub.status.idle": "2026-05-31T18:59:18.992621Z",
-     "shell.execute_reply": "2026-05-31T18:59:18.992293Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -953,15 +932,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:18.994255Z",
-     "iopub.status.busy": "2026-05-31T18:59:18.994161Z",
-     "iopub.status.idle": "2026-05-31T18:59:19.081345Z",
-     "shell.execute_reply": "2026-05-31T18:59:19.080894Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -1008,15 +980,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:19.082656Z",
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-     "iopub.status.idle": "2026-05-31T18:59:19.097973Z",
-     "shell.execute_reply": "2026-05-31T18:59:19.097548Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1846,15 +1811,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:19.099562Z",
-     "iopub.status.busy": "2026-05-31T18:59:19.099448Z",
-     "iopub.status.idle": "2026-05-31T18:59:19.256195Z",
-     "shell.execute_reply": "2026-05-31T18:59:19.255732Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "data": {
diff --git a/notebooks/03_pressure_level_air_temperature.ipynb b/notebooks/03_pressure_level_air_temperature.ipynb
index 63dd8cce..713ff94d 100644
--- a/notebooks/03_pressure_level_air_temperature.ipynb
+++ b/notebooks/03_pressure_level_air_temperature.ipynb
@@ -11,15 +11,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:20.165379Z",
-     "iopub.status.busy": "2026-05-31T18:59:20.165176Z",
-     "iopub.status.idle": "2026-05-31T18:59:20.716009Z",
-     "shell.execute_reply": "2026-05-31T18:59:20.715495Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -72,15 +65,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:20.717796Z",
-     "iopub.status.busy": "2026-05-31T18:59:20.717593Z",
-     "iopub.status.idle": "2026-05-31T18:59:20.905520Z",
-     "shell.execute_reply": "2026-05-31T18:59:20.905078Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -930,15 +916,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:20.906919Z",
-     "iopub.status.busy": "2026-05-31T18:59:20.906821Z",
-     "iopub.status.idle": "2026-05-31T18:59:20.914136Z",
-     "shell.execute_reply": "2026-05-31T18:59:20.913573Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -999,15 +978,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:20.915732Z",
-     "iopub.status.busy": "2026-05-31T18:59:20.915632Z",
-     "iopub.status.idle": "2026-05-31T18:59:21.157935Z",
-     "shell.execute_reply": "2026-05-31T18:59:21.157281Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -1054,15 +1026,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:21.159324Z",
-     "iopub.status.busy": "2026-05-31T18:59:21.159211Z",
-     "iopub.status.idle": "2026-05-31T18:59:21.219710Z",
-     "shell.execute_reply": "2026-05-31T18:59:21.219254Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1881,15 +1846,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:21.221393Z",
-     "iopub.status.busy": "2026-05-31T18:59:21.221283Z",
-     "iopub.status.idle": "2026-05-31T18:59:21.395707Z",
-     "shell.execute_reply": "2026-05-31T18:59:21.395084Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "data": {
diff --git a/notebooks/04_hybrid_sigma_humidity_tendency.ipynb b/notebooks/04_hybrid_sigma_humidity_tendency.ipynb
index 8d50b5d3..5e095ba9 100644
--- a/notebooks/04_hybrid_sigma_humidity_tendency.ipynb
+++ b/notebooks/04_hybrid_sigma_humidity_tendency.ipynb
@@ -11,15 +11,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
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-     "iopub.execute_input": "2026-05-31T18:59:22.320730Z",
-     "iopub.status.busy": "2026-05-31T18:59:22.320637Z",
-     "iopub.status.idle": "2026-05-31T18:59:22.875537Z",
-     "shell.execute_reply": "2026-05-31T18:59:22.875092Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -72,15 +65,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:22.877152Z",
-     "iopub.status.busy": "2026-05-31T18:59:22.876980Z",
-     "iopub.status.idle": "2026-05-31T18:59:23.055466Z",
-     "shell.execute_reply": "2026-05-31T18:59:23.054705Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1105,15 +1091,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:23.057277Z",
-     "iopub.status.busy": "2026-05-31T18:59:23.057157Z",
-     "iopub.status.idle": "2026-05-31T18:59:23.064150Z",
-     "shell.execute_reply": "2026-05-31T18:59:23.063625Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -1181,15 +1160,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:23.065451Z",
-     "iopub.status.busy": "2026-05-31T18:59:23.065365Z",
-     "iopub.status.idle": "2026-05-31T18:59:23.238179Z",
-     "shell.execute_reply": "2026-05-31T18:59:23.237662Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -1242,15 +1214,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:23.240010Z",
-     "iopub.status.busy": "2026-05-31T18:59:23.239818Z",
-     "iopub.status.idle": "2026-05-31T18:59:23.284106Z",
-     "shell.execute_reply": "2026-05-31T18:59:23.283722Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2271,15 +2236,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:23.285463Z",
-     "iopub.status.busy": "2026-05-31T18:59:23.285365Z",
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-     "shell.execute_reply": "2026-05-31T18:59:23.441005Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "data": {
diff --git a/notebooks/05_ocean_heat_transport_by_basin.ipynb b/notebooks/05_ocean_heat_transport_by_basin.ipynb
index 8849dbe0..0e951b00 100644
--- a/notebooks/05_ocean_heat_transport_by_basin.ipynb
+++ b/notebooks/05_ocean_heat_transport_by_basin.ipynb
@@ -11,15 +11,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
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-     "iopub.status.busy": "2026-05-31T18:59:24.471879Z",
-     "iopub.status.idle": "2026-05-31T18:59:24.946167Z",
-     "shell.execute_reply": "2026-05-31T18:59:24.945701Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -71,15 +64,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:24.947469Z",
-     "iopub.status.busy": "2026-05-31T18:59:24.947323Z",
-     "iopub.status.idle": "2026-05-31T18:59:25.091472Z",
-     "shell.execute_reply": "2026-05-31T18:59:25.090986Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -897,15 +883,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:25.092773Z",
-     "iopub.status.busy": "2026-05-31T18:59:25.092678Z",
-     "iopub.status.idle": "2026-05-31T18:59:25.097238Z",
-     "shell.execute_reply": "2026-05-31T18:59:25.096856Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -963,15 +942,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:25.098234Z",
-     "iopub.status.busy": "2026-05-31T18:59:25.098172Z",
-     "iopub.status.idle": "2026-05-31T18:59:25.199607Z",
-     "shell.execute_reply": "2026-05-31T18:59:25.198987Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -1019,15 +991,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:25.201496Z",
-     "iopub.status.busy": "2026-05-31T18:59:25.201382Z",
-     "iopub.status.idle": "2026-05-31T18:59:25.221386Z",
-     "shell.execute_reply": "2026-05-31T18:59:25.220662Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1822,15 +1787,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:25.222900Z",
-     "iopub.status.busy": "2026-05-31T18:59:25.222813Z",
-     "iopub.status.idle": "2026-05-31T18:59:25.292149Z",
-     "shell.execute_reply": "2026-05-31T18:59:25.291624Z"
-    }
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
      "data": {
diff --git a/notebooks/06_land_use_fraction.ipynb b/notebooks/06_land_use_fraction.ipynb
index d210239c..cc5aa32c 100644
--- a/notebooks/06_land_use_fraction.ipynb
+++ b/notebooks/06_land_use_fraction.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "88936e10",
+   "id": "0",
    "metadata": {},
    "source": [
     "# Land-Use Fraction\n",
@@ -12,16 +12,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "id": "a97ae18a",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:26.307262Z",
-     "iopub.status.busy": "2026-05-31T18:59:26.307102Z",
-     "iopub.status.idle": "2026-05-31T18:59:26.879065Z",
-     "shell.execute_reply": "2026-05-31T18:59:26.878524Z"
-    }
-   },
+   "execution_count": null,
+   "id": "1",
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -74,16 +67,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "id": "1137cc32",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:26.881363Z",
-     "iopub.status.busy": "2026-05-31T18:59:26.881152Z",
-     "iopub.status.idle": "2026-05-31T18:59:27.049084Z",
-     "shell.execute_reply": "2026-05-31T18:59:27.048670Z"
-    }
-   },
+   "execution_count": null,
+   "id": "2",
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -928,16 +914,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "id": "22df6ea7",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:27.050782Z",
-     "iopub.status.busy": "2026-05-31T18:59:27.050677Z",
-     "iopub.status.idle": "2026-05-31T18:59:27.061049Z",
-     "shell.execute_reply": "2026-05-31T18:59:27.060297Z"
-    }
-   },
+   "execution_count": null,
+   "id": "3",
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -1001,16 +980,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "id": "cf5869cb",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:27.062735Z",
-     "iopub.status.busy": "2026-05-31T18:59:27.062631Z",
-     "iopub.status.idle": "2026-05-31T18:59:27.199112Z",
-     "shell.execute_reply": "2026-05-31T18:59:27.198467Z"
-    }
-   },
+   "execution_count": null,
+   "id": "4",
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -1057,16 +1029,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "id": "cdd06048",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:27.200932Z",
-     "iopub.status.busy": "2026-05-31T18:59:27.200814Z",
-     "iopub.status.idle": "2026-05-31T18:59:27.230852Z",
-     "shell.execute_reply": "2026-05-31T18:59:27.230495Z"
-    }
-   },
+   "execution_count": null,
+   "id": "5",
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1882,16 +1847,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "id": "1864a108",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:27.232930Z",
-     "iopub.status.busy": "2026-05-31T18:59:27.232815Z",
-     "iopub.status.idle": "2026-05-31T18:59:27.770720Z",
-     "shell.execute_reply": "2026-05-31T18:59:27.770135Z"
-    }
-   },
+   "execution_count": null,
+   "id": "6",
+   "metadata": {},
    "outputs": [
     {
      "data": {
diff --git a/notebooks/07_non_lat_lon_sea_ice_concentration.ipynb b/notebooks/07_non_lat_lon_sea_ice_concentration.ipynb
index fabb145e..2c1bb373 100644
--- a/notebooks/07_non_lat_lon_sea_ice_concentration.ipynb
+++ b/notebooks/07_non_lat_lon_sea_ice_concentration.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "ec48bf48",
+   "id": "0",
    "metadata": {},
    "source": [
     "# Sea Ice Concentration On Projected Grids\n",
@@ -12,16 +12,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "id": "afaab710",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:28.747092Z",
-     "iopub.status.busy": "2026-05-31T18:59:28.746966Z",
-     "iopub.status.idle": "2026-05-31T18:59:29.313813Z",
-     "shell.execute_reply": "2026-05-31T18:59:29.313224Z"
-    }
-   },
+   "execution_count": null,
+   "id": "1",
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -85,16 +78,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "id": "2a3d3a10",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:29.315368Z",
-     "iopub.status.busy": "2026-05-31T18:59:29.315173Z",
-     "iopub.status.idle": "2026-05-31T18:59:29.467672Z",
-     "shell.execute_reply": "2026-05-31T18:59:29.467190Z"
-    }
-   },
+   "execution_count": null,
+   "id": "2",
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -836,16 +822,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "id": "5edce0e9",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:29.469343Z",
-     "iopub.status.busy": "2026-05-31T18:59:29.469209Z",
-     "iopub.status.idle": "2026-05-31T18:59:29.518292Z",
-     "shell.execute_reply": "2026-05-31T18:59:29.517705Z"
-    }
-   },
+   "execution_count": null,
+   "id": "3",
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -955,16 +934,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "id": "b7ca0a5a",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:29.520125Z",
-     "iopub.status.busy": "2026-05-31T18:59:29.519950Z",
-     "iopub.status.idle": "2026-05-31T18:59:29.775947Z",
-     "shell.execute_reply": "2026-05-31T18:59:29.775157Z"
-    }
-   },
+   "execution_count": null,
+   "id": "4",
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -1037,16 +1009,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "id": "c016fff2",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:29.778300Z",
-     "iopub.status.busy": "2026-05-31T18:59:29.778205Z",
-     "iopub.status.idle": "2026-05-31T18:59:29.821342Z",
-     "shell.execute_reply": "2026-05-31T18:59:29.820679Z"
-    }
-   },
+   "execution_count": null,
+   "id": "5",
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1840,16 +1805,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "id": "8cf16c62",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2026-05-31T18:59:29.822810Z",
-     "iopub.status.busy": "2026-05-31T18:59:29.822713Z",
-     "iopub.status.idle": "2026-05-31T18:59:30.660242Z",
-     "shell.execute_reply": "2026-05-31T18:59:30.659657Z"
-    }
-   },
+   "execution_count": null,
+   "id": "6",
+   "metadata": {},
    "outputs": [
     {
      "data": {

From 4f55a593787c517fc640201c000cd5d25e85360f Mon Sep 17 00:00:00 2001
From: Chris Mauzey <mauzey1@llnl.gov>
Date: Fri, 5 Jun 2026 15:08:07 -0700
Subject: [PATCH 25/25] Add tool for more thorough notebook metadata clean up

---
 .../01_basic_ocean_surface_temperature.ipynb  |  66 ++++------
 .../02_atmos_surface_air_temperature.ipynb    |  62 ++++------
 .../03_pressure_level_air_temperature.ipynb   |  62 ++++------
 .../04_hybrid_sigma_humidity_tendency.ipynb   |  88 ++++++--------
 .../05_ocean_heat_transport_by_basin.ipynb    |  58 +++------
 notebooks/06_land_use_fraction.ipynb          |  62 ++++------
 ...07_non_lat_lon_sea_ice_concentration.ipynb |  71 +++++------
 notebooks/README.md                           |  13 +-
 tools/rebuild_notebook_output.sh              | 115 ++++++++++++++++++
 9 files changed, 302 insertions(+), 295 deletions(-)
 create mode 100755 tools/rebuild_notebook_output.sh

diff --git a/notebooks/01_basic_ocean_surface_temperature.ipynb b/notebooks/01_basic_ocean_surface_temperature.ipynb
index 854a438b..a1966b48 100644
--- a/notebooks/01_basic_ocean_surface_temperature.ipynb
+++ b/notebooks/01_basic_ocean_surface_temperature.ipynb
@@ -656,8 +656,8 @@
        "    parent_experiment:      N/A\n",
        "    modeling_realm:         ocean\n",
        "    realization:            5\n",
-       "    cmor_version:           2.5.4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a6227ec5-5b67-4bb0-8834-e13a733d4c7f' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-a6227ec5-5b67-4bb0-8834-e13a733d4c7f' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 192</li><li><span class='xr-has-index'>lon</span>: 256</li></ul></div></li><li class='xr-section-item'><input id='section-bde0ec14-5bfd-4415-921d-406de2f31945' class='xr-section-summary-in' type='checkbox' checked /><label for='section-bde0ec14-5bfd-4415-921d-406de2f31945' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.856e+04 4.859e+04 ... 4.883e+04</div><input id='attrs-18c7e85d-e2f1-47d1-a38d-5372641b63eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18c7e85d-e2f1-47d1-a38d-5372641b63eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f435089-8e8a-46af-9d06-6034e190dcd1' class='xr-var-data-in' type='checkbox'><label for='data-7f435089-8e8a-46af-9d06-6034e190dcd1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-1-1</dd><dt><span>calendar :</span></dt><dd>365_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([48560.5, 48590. , 48619.5, 48650. , 48680.5, 48711. , 48741.5, 48772.5,\n",
-       "       48803. , 48833.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.43 -88.29 ... 88.29 89.43</div><input id='attrs-7d35c403-1080-4e48-9ceb-699bdcdcf958' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d35c403-1080-4e48-9ceb-699bdcdcf958' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5b08c65-c0e2-453e-b15c-2217c712e2b5' class='xr-var-data-in' type='checkbox'><label for='data-f5b08c65-c0e2-453e-b15c-2217c712e2b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.429619, -88.288872, -87.148125, -86.107635, -85.167389, -84.22715 ,\n",
+       "    cmor_version:           2.5.4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0587f2ce-2d2f-42e0-8fee-ed314f1c8f24' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-0587f2ce-2d2f-42e0-8fee-ed314f1c8f24' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 192</li><li><span class='xr-has-index'>lon</span>: 256</li></ul></div></li><li class='xr-section-item'><input id='section-d258ee55-9281-405f-ba88-406edd19fff2' class='xr-section-summary-in' type='checkbox' checked /><label for='section-d258ee55-9281-405f-ba88-406edd19fff2' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.856e+04 4.859e+04 ... 4.883e+04</div><input id='attrs-085b8ebd-05b0-4521-9c11-a73788a19db7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-085b8ebd-05b0-4521-9c11-a73788a19db7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fab7ca16-d987-4f8c-adc8-b728bffee4c8' class='xr-var-data-in' type='checkbox'><label for='data-fab7ca16-d987-4f8c-adc8-b728bffee4c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-1-1</dd><dt><span>calendar :</span></dt><dd>365_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([48560.5, 48590. , 48619.5, 48650. , 48680.5, 48711. , 48741.5, 48772.5,\n",
+       "       48803. , 48833.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.43 -88.29 ... 88.29 89.43</div><input id='attrs-63b60ce7-1fe9-478c-bc68-8eb06f985a9a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63b60ce7-1fe9-478c-bc68-8eb06f985a9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60a516da-68f7-485a-9121-ef13eb5e1d9b' class='xr-var-data-in' type='checkbox'><label for='data-60a516da-68f7-485a-9121-ef13eb5e1d9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.429619, -88.288872, -87.148125, -86.107635, -85.167389, -84.22715 ,\n",
        "       -83.290031, -82.356026, -81.42202 , -80.488907, -79.556686, -78.624458,\n",
        "       -77.692612, -76.761139, -75.829674, -74.898399, -73.967316, -73.03624 ,\n",
        "       -72.10527 , -71.174423, -70.243568, -69.31279 , -68.382088, -67.451378,\n",
@@ -688,8 +688,8 @@
        "        67.451378,  68.382088,  69.31279 ,  70.243568,  71.174423,  72.10527 ,\n",
        "        73.03624 ,  73.967316,  74.898399,  75.829674,  76.761139,  77.692612,\n",
        "        78.624458,  79.556686,  80.488907,  81.42202 ,  82.356026,  83.290031,\n",
-       "        84.22715 ,  85.167389,  86.107635,  87.148125,  88.288872,  89.429619])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.7031 2.109 3.516 ... 357.9 359.3</div><input id='attrs-38c0cf94-ca7d-4830-861f-7f03aab89647' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38c0cf94-ca7d-4830-861f-7f03aab89647' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb1139bd-97bb-45bb-8228-87020b3547ba' class='xr-var-data-in' type='checkbox'><label for='data-bb1139bd-97bb-45bb-8228-87020b3547ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.703125,   2.109375,   3.515625, ..., 356.484375, 357.890625,\n",
-       "       359.296875], shape=(256,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a5b05420-051f-43f4-b84a-6de985dfa287' class='xr-section-summary-in' type='checkbox' checked /><label for='section-a5b05420-051f-43f4-b84a-6de985dfa287' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.854e+04 4.858e+04 ... 4.885e+04</div><input id='attrs-b24829f9-68ca-487a-a8c2-86d8675720ea' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b24829f9-68ca-487a-a8c2-86d8675720ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b936bc98-6909-4be8-a4a5-a726bcd68253' class='xr-var-data-in' type='checkbox'><label for='data-b936bc98-6909-4be8-a4a5-a726bcd68253' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[48545., 48576.],\n",
+       "        84.22715 ,  85.167389,  86.107635,  87.148125,  88.288872,  89.429619])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.7031 2.109 3.516 ... 357.9 359.3</div><input id='attrs-044362ed-31d7-44ea-9013-f3b40222cba5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-044362ed-31d7-44ea-9013-f3b40222cba5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90abdead-3282-4d0b-9a28-4ae36cb8f32f' class='xr-var-data-in' type='checkbox'><label for='data-90abdead-3282-4d0b-9a28-4ae36cb8f32f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.703125,   2.109375,   3.515625, ..., 356.484375, 357.890625,\n",
+       "       359.296875], shape=(256,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-57189da1-154b-49b8-abc7-29e5aa46bd07' class='xr-section-summary-in' type='checkbox' checked /><label for='section-57189da1-154b-49b8-abc7-29e5aa46bd07' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.854e+04 4.858e+04 ... 4.885e+04</div><input id='attrs-619e3d8a-28d6-47c9-bbbf-918d875ffb2f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-619e3d8a-28d6-47c9-bbbf-918d875ffb2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba326166-f99e-4844-8cac-61d254b44f84' class='xr-var-data-in' type='checkbox'><label for='data-ba326166-f99e-4844-8cac-61d254b44f84' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[48545., 48576.],\n",
        "       [48576., 48604.],\n",
        "       [48604., 48635.],\n",
        "       [48635., 48665.],\n",
@@ -698,7 +698,7 @@
        "       [48726., 48757.],\n",
        "       [48757., 48788.],\n",
        "       [48788., 48818.],\n",
-       "       [48818., 48849.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.86 -88.86 ... 88.86 90.0</div><input id='attrs-3c00c1cf-d5e0-4375-a3c4-6a6c3970a48f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3c00c1cf-d5e0-4375-a3c4-6a6c3970a48f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8655306f-606b-472f-9a27-eda814d43202' class='xr-var-data-in' type='checkbox'><label for='data-8655306f-606b-472f-9a27-eda814d43202' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-9.00000000e+01, -8.88592453e+01],\n",
+       "       [48818., 48849.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.86 -88.86 ... 88.86 90.0</div><input id='attrs-8631ce5b-05f3-4971-810a-a454ada41ac7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8631ce5b-05f3-4971-810a-a454ada41ac7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e002592-18bd-45c1-ba76-35c1d0ebf37b' class='xr-var-data-in' type='checkbox'><label for='data-0e002592-18bd-45c1-ba76-35c1d0ebf37b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-9.00000000e+01, -8.88592453e+01],\n",
        "       [-8.88592453e+01, -8.77184982e+01],\n",
        "       [-8.77184982e+01, -8.65777512e+01],\n",
        "       [-8.65777512e+01, -8.56375122e+01],\n",
@@ -738,7 +738,7 @@
        "       [ 8.56375122e+01,  8.65777512e+01],\n",
        "       [ 8.65777512e+01,  8.77184982e+01],\n",
        "       [ 8.77184982e+01,  8.88592453e+01],\n",
-       "       [ 8.88592453e+01,  9.00000000e+01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.406 1.406 ... 358.6 360.0</div><input id='attrs-b5ee763a-c521-46e1-af26-df24319b1b56' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b5ee763a-c521-46e1-af26-df24319b1b56' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35cdeb6e-8281-4149-8284-c91ab5180f4d' class='xr-var-data-in' type='checkbox'><label for='data-35cdeb6e-8281-4149-8284-c91ab5180f4d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.     ,   1.40625],\n",
+       "       [ 8.88592453e+01,  9.00000000e+01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.406 1.406 ... 358.6 360.0</div><input id='attrs-ac4f21c7-9e2b-4a4b-b894-8b6ede19accc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ac4f21c7-9e2b-4a4b-b894-8b6ede19accc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54b322e9-493a-4208-86b6-c8f346057724' class='xr-var-data-in' type='checkbox'><label for='data-54b322e9-493a-4208-86b6-c8f346057724' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.     ,   1.40625],\n",
        "       [  1.40625,   2.8125 ],\n",
        "       [  2.8125 ,   4.21875],\n",
        "       [  4.21875,   5.625  ],\n",
@@ -778,7 +778,7 @@
        "       [354.375  , 355.78125],\n",
        "       [355.78125, 357.1875 ],\n",
        "       [357.1875 , 358.59375],\n",
-       "       [358.59375, 360.     ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 271.2 271.2 271.2</div><input id='attrs-dd599041-8ccb-4c0c-bfae-b8b6401c375b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd599041-8ccb-4c0c-bfae-b8b6401c375b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43d8842f-5bfe-4b80-8a6e-6219a9825333' class='xr-var-data-in' type='checkbox'><label for='data-43d8842f-5bfe-4b80-8a6e-6219a9825333' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;this may differ from &quot;&quot;surface temperature&quot;&quot; in regions of sea ice.&quot;</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>SST</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 20 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd><dt><span>history :</span></dt><dd>2011-07-13T02:25:29Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_ocean_fx_CanCM4_decadal1982_r0i0p0.nc areacello: areacello_fx_CanCM4_decadal1982_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[[      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "       [358.59375, 360.     ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 271.2 271.2 271.2</div><input id='attrs-b477af85-2ecc-430e-9156-9b1688df1f5f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b477af85-2ecc-430e-9156-9b1688df1f5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd2d3df2-5048-4f4e-9db6-856997c7222a' class='xr-var-data-in' type='checkbox'><label for='data-dd2d3df2-5048-4f4e-9db6-856997c7222a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;this may differ from &quot;&quot;surface temperature&quot;&quot; in regions of sea ice.&quot;</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>SST</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 20 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd><dt><span>history :</span></dt><dd>2011-07-13T02:25:29Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_ocean_fx_CanCM4_decadal1982_r0i0p0.nc areacello: areacello_fx_CanCM4_decadal1982_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[[      nan,       nan,       nan, ...,       nan,       nan,\n",
        "               nan],\n",
        "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
        "               nan],\n",
@@ -818,7 +818,7 @@
        "        [271.20563, 271.20618, 271.2068 , ..., 271.2043 , 271.20468,\n",
        "         271.2051 ],\n",
        "        [271.1999 , 271.1999 , 271.1999 , ..., 271.1999 , 271.1999 ,\n",
-       "         271.1999 ]]], shape=(10, 192, 256), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0543d575-3aab-4c20-8bd1-5932b380059c' class='xr-section-summary-in' type='checkbox' checked /><label for='section-0543d575-3aab-4c20-8bd1-5932b380059c' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(31)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CCCma (Canadian Centre for Climate Modelling and Analysis, Victoria, BC, Canada)</dd><dt><span>institute_id :</span></dt><dd>CCCma</dd><dt><span>experiment_id :</span></dt><dd>decadal1982</dd><dt><span>source :</span></dt><dd>CanCM4 2010 atmosphere: CanAM4 (AGCM15i, T63L35) ocean: CanOM4 (OGCM4.0, 256x192L40) sea ice: CanSIM1 (Cavitating Fluid, T63 Gaussian Grid) land: CLASS2.7</dd><dt><span>model_id :</span></dt><dd>CanCM4</dd><dt><span>forcing :</span></dt><dd>GHG,Oz,SA,BC,OC,LU,Sl,Vl (GHG includes CO2,CH4,N2O,CFC11,effective CFC12)</dd><dt><span>parent_experiment_id :</span></dt><dd>N/A</dd><dt><span>parent_experiment_rip :</span></dt><dd>N/A</dd><dt><span>branch_time :</span></dt><dd>0.0</dd><dt><span>contact :</span></dt><dd>cccma_info@ec.gc.ca</dd><dt><span>references :</span></dt><dd>http://www.cccma.ec.gc.ca/models</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>5152f593-3451-453f-9c5f-b45e46a2efc0</dd><dt><span>branch_time_YMDH :</span></dt><dd>1983:01:01:00</dd><dt><span>CCCma_runid :</span></dt><dd>DHFP1B_E005_I1983_M01</dd><dt><span>CCCma_parent_runid :</span></dt><dd>DHFP1_E005</dd><dt><span>CCCma_data_licence :</span></dt><dd>1) GRANT OF LICENCE - The Government of Canada (Environment Canada) is the \n",
+       "         271.1999 ]]], shape=(10, 192, 256), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-00909bbd-d530-43ba-b66f-345d46e6cb42' class='xr-section-summary-in' type='checkbox' checked /><label for='section-00909bbd-d530-43ba-b66f-345d46e6cb42' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(31)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CCCma (Canadian Centre for Climate Modelling and Analysis, Victoria, BC, Canada)</dd><dt><span>institute_id :</span></dt><dd>CCCma</dd><dt><span>experiment_id :</span></dt><dd>decadal1982</dd><dt><span>source :</span></dt><dd>CanCM4 2010 atmosphere: CanAM4 (AGCM15i, T63L35) ocean: CanOM4 (OGCM4.0, 256x192L40) sea ice: CanSIM1 (Cavitating Fluid, T63 Gaussian Grid) land: CLASS2.7</dd><dt><span>model_id :</span></dt><dd>CanCM4</dd><dt><span>forcing :</span></dt><dd>GHG,Oz,SA,BC,OC,LU,Sl,Vl (GHG includes CO2,CH4,N2O,CFC11,effective CFC12)</dd><dt><span>parent_experiment_id :</span></dt><dd>N/A</dd><dt><span>parent_experiment_rip :</span></dt><dd>N/A</dd><dt><span>branch_time :</span></dt><dd>0.0</dd><dt><span>contact :</span></dt><dd>cccma_info@ec.gc.ca</dd><dt><span>references :</span></dt><dd>http://www.cccma.ec.gc.ca/models</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>5152f593-3451-453f-9c5f-b45e46a2efc0</dd><dt><span>branch_time_YMDH :</span></dt><dd>1983:01:01:00</dd><dt><span>CCCma_runid :</span></dt><dd>DHFP1B_E005_I1983_M01</dd><dt><span>CCCma_parent_runid :</span></dt><dd>DHFP1_E005</dd><dt><span>CCCma_data_licence :</span></dt><dd>1) GRANT OF LICENCE - The Government of Canada (Environment Canada) is the \n",
        "owner of all intellectual property rights (including copyright) that may exist in this Data \n",
        "product. You (as &quot;The Licensee&quot;) are hereby granted a non-exclusive, non-assignable, \n",
        "non-transferable unrestricted licence to use this data product for any purpose including \n",
@@ -965,7 +965,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "output/01_basic_ocean_surface_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tos/tavg-u-hxy-sea/g999/v20260531/tos_tavg-u-hxy-sea_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_198301-198310.nc\n"
+      "output/01_basic_ocean_surface_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tos/tavg-u-hxy-sea/g999/v20260605/tos_tavg-u-hxy-sea_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_198301-198310.nc\n"
      ]
     }
    ],
@@ -1571,7 +1571,7 @@
        "    area_label:            sea\n",
        "    branded_variable:      tos_tavg-u-hxy-sea\n",
        "    branding_suffix:       tavg-u-hxy-sea\n",
-       "    creation_date:         2026-05-31T18:59:17Z\n",
+       "    creation_date:         2026-06-05T21:59:20Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -1581,7 +1581,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-31T18:59:17Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-06-05T21:59:20Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1600,13 +1600,13 @@
        "    table_info:            Name: CMIP7_ocean.json; Creation Date:(2026-04-21 ...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/416e223a-d2e9-42e9-85e1-4ebbd0e29d8e\n",
+       "    tracking_id:           hdl:21.14107/f81ce082-86e4-413b-8b72-598c9e3ba40d\n",
        "    variable_id:           tos\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2273222a-8e14-4af3-a80e-bf9c6228a532' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-2273222a-8e14-4af3-a80e-bf9c6228a532' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 192</li><li><span class='xr-has-index'>lon</span>: 256</li></ul></div></li><li class='xr-section-item'><input id='section-6d71d108-c2d8-4ba1-ac5f-3d76040021a9' class='xr-section-summary-in' type='checkbox' checked /><label for='section-6d71d108-c2d8-4ba1-ac5f-3d76040021a9' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.856e+04 4.859e+04 ... 4.883e+04</div><input id='attrs-90c9047e-5104-4739-b06d-ea73a7e76834' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90c9047e-5104-4739-b06d-ea73a7e76834' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-035820fd-5790-40d3-9697-418afabdd188' class='xr-var-data-in' type='checkbox'><label for='data-035820fd-5790-40d3-9697-418afabdd188' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-1-1</dd><dt><span>calendar :</span></dt><dd>365_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([48560.5, 48590. , 48619.5, 48650. , 48680.5, 48711. , 48741.5, 48772.5,\n",
-       "       48803. , 48833.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.43 -88.29 ... 88.29 89.43</div><input id='attrs-ba046a59-9cdc-4f61-9567-57ca7e7f0404' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba046a59-9cdc-4f61-9567-57ca7e7f0404' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d39f921-0957-4b56-bbe9-d43c58cf5445' class='xr-var-data-in' type='checkbox'><label for='data-7d39f921-0957-4b56-bbe9-d43c58cf5445' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.429619, -88.288872, -87.148125, -86.107635, -85.167389, -84.22715 ,\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-81b01ec2-a46b-40c0-b8a7-01663cb839ca' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-81b01ec2-a46b-40c0-b8a7-01663cb839ca' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 192</li><li><span class='xr-has-index'>lon</span>: 256</li></ul></div></li><li class='xr-section-item'><input id='section-7cb8fae3-142b-47b4-965c-2a03e2e2530b' class='xr-section-summary-in' type='checkbox' checked /><label for='section-7cb8fae3-142b-47b4-965c-2a03e2e2530b' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.856e+04 4.859e+04 ... 4.883e+04</div><input id='attrs-b5615228-8538-4ebb-8919-29d907806b52' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5615228-8538-4ebb-8919-29d907806b52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b196424-1473-4cd7-bcd5-baf82bc1728f' class='xr-var-data-in' type='checkbox'><label for='data-0b196424-1473-4cd7-bcd5-baf82bc1728f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-1-1</dd><dt><span>calendar :</span></dt><dd>365_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([48560.5, 48590. , 48619.5, 48650. , 48680.5, 48711. , 48741.5, 48772.5,\n",
+       "       48803. , 48833.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.43 -88.29 ... 88.29 89.43</div><input id='attrs-ab814073-67ca-464b-9d81-c6aa8d242091' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab814073-67ca-464b-9d81-c6aa8d242091' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-feef79a7-32db-46a4-a629-cc0a159ac567' class='xr-var-data-in' type='checkbox'><label for='data-feef79a7-32db-46a4-a629-cc0a159ac567' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.429619, -88.288872, -87.148125, -86.107635, -85.167389, -84.22715 ,\n",
        "       -83.290031, -82.356026, -81.42202 , -80.488907, -79.556686, -78.624458,\n",
        "       -77.692612, -76.761139, -75.829674, -74.898399, -73.967316, -73.03624 ,\n",
        "       -72.10527 , -71.174423, -70.243568, -69.31279 , -68.382088, -67.451378,\n",
@@ -1637,8 +1637,8 @@
        "        67.451378,  68.382088,  69.31279 ,  70.243568,  71.174423,  72.10527 ,\n",
        "        73.03624 ,  73.967316,  74.898399,  75.829674,  76.761139,  77.692612,\n",
        "        78.624458,  79.556686,  80.488907,  81.42202 ,  82.356026,  83.290031,\n",
-       "        84.22715 ,  85.167389,  86.107635,  87.148125,  88.288872,  89.429619])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.7031 2.109 3.516 ... 357.9 359.3</div><input id='attrs-90093937-bd01-4c32-87c0-f30bb5f1e9c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90093937-bd01-4c32-87c0-f30bb5f1e9c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26598f50-c3af-432a-9b88-dd3d34c76a39' class='xr-var-data-in' type='checkbox'><label for='data-26598f50-c3af-432a-9b88-dd3d34c76a39' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.703125,   2.109375,   3.515625, ..., 356.484375, 357.890625,\n",
-       "       359.296875], shape=(256,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-64bcb466-b173-40a4-af15-e7756341129c' class='xr-section-summary-in' type='checkbox' checked /><label for='section-64bcb466-b173-40a4-af15-e7756341129c' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.854e+04 4.858e+04 ... 4.885e+04</div><input id='attrs-4247cd80-6f82-41e6-82d4-4d55535b7242' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4247cd80-6f82-41e6-82d4-4d55535b7242' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f785efd-b862-47c8-b526-617b9759fc76' class='xr-var-data-in' type='checkbox'><label for='data-1f785efd-b862-47c8-b526-617b9759fc76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[48545., 48576.],\n",
+       "        84.22715 ,  85.167389,  86.107635,  87.148125,  88.288872,  89.429619])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.7031 2.109 3.516 ... 357.9 359.3</div><input id='attrs-e21ea6b6-51e9-4ee5-999f-96d1dc81d0ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e21ea6b6-51e9-4ee5-999f-96d1dc81d0ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa1f5b41-d002-4973-b713-59021f6ae19c' class='xr-var-data-in' type='checkbox'><label for='data-aa1f5b41-d002-4973-b713-59021f6ae19c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.703125,   2.109375,   3.515625, ..., 356.484375, 357.890625,\n",
+       "       359.296875], shape=(256,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6914907a-c637-4570-a9f8-7c5227adc623' class='xr-section-summary-in' type='checkbox' checked /><label for='section-6914907a-c637-4570-a9f8-7c5227adc623' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.854e+04 4.858e+04 ... 4.885e+04</div><input id='attrs-90c3686e-1ad0-4826-aa87-2d6a5ab25886' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-90c3686e-1ad0-4826-aa87-2d6a5ab25886' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-820a03ac-501c-4a83-8666-7a1755b3d7ef' class='xr-var-data-in' type='checkbox'><label for='data-820a03ac-501c-4a83-8666-7a1755b3d7ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[48545., 48576.],\n",
        "       [48576., 48604.],\n",
        "       [48604., 48635.],\n",
        "       [48635., 48665.],\n",
@@ -1647,7 +1647,7 @@
        "       [48726., 48757.],\n",
        "       [48757., 48788.],\n",
        "       [48788., 48818.],\n",
-       "       [48818., 48849.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.86 -88.86 ... 88.86 90.0</div><input id='attrs-80e29189-29c3-4db5-9c3d-bc88324bfe83' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-80e29189-29c3-4db5-9c3d-bc88324bfe83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-967dbbb8-df71-407d-89a6-3f4c90a2475f' class='xr-var-data-in' type='checkbox'><label for='data-967dbbb8-df71-407d-89a6-3f4c90a2475f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-9.00000000e+01, -8.88592453e+01],\n",
+       "       [48818., 48849.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.86 -88.86 ... 88.86 90.0</div><input id='attrs-1d8bfcdb-e05e-499c-9de0-a1a5f72face3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1d8bfcdb-e05e-499c-9de0-a1a5f72face3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b70697f-8372-4e96-b842-19fa20a69ec0' class='xr-var-data-in' type='checkbox'><label for='data-9b70697f-8372-4e96-b842-19fa20a69ec0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-9.00000000e+01, -8.88592453e+01],\n",
        "       [-8.88592453e+01, -8.77184982e+01],\n",
        "       [-8.77184982e+01, -8.65777512e+01],\n",
        "       [-8.65777512e+01, -8.56375122e+01],\n",
@@ -1687,7 +1687,7 @@
        "       [ 8.56375122e+01,  8.65777512e+01],\n",
        "       [ 8.65777512e+01,  8.77184982e+01],\n",
        "       [ 8.77184982e+01,  8.88592453e+01],\n",
-       "       [ 8.88592453e+01,  9.00000000e+01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.406 1.406 ... 358.6 360.0</div><input id='attrs-3ea5cf11-21ce-4854-b679-417670eaeb62' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3ea5cf11-21ce-4854-b679-417670eaeb62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0bafc987-f7b3-4e67-a3ca-ef488c32ddbc' class='xr-var-data-in' type='checkbox'><label for='data-0bafc987-f7b3-4e67-a3ca-ef488c32ddbc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.     ,   1.40625],\n",
+       "       [ 8.88592453e+01,  9.00000000e+01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.406 1.406 ... 358.6 360.0</div><input id='attrs-f8c239e8-8f89-468d-9e12-c91f8b79aa3c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f8c239e8-8f89-468d-9e12-c91f8b79aa3c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6de85888-c48f-4b97-abf4-a1fe3daa5f6e' class='xr-var-data-in' type='checkbox'><label for='data-6de85888-c48f-4b97-abf4-a1fe3daa5f6e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.     ,   1.40625],\n",
        "       [  1.40625,   2.8125 ],\n",
        "       [  2.8125 ,   4.21875],\n",
        "       [  4.21875,   5.625  ],\n",
@@ -1727,7 +1727,7 @@
        "       [354.375  , 355.78125],\n",
        "       [355.78125, 357.1875 ],\n",
        "       [357.1875 , 358.59375],\n",
-       "       [358.59375, 360.     ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... -1.95 -1.95 -1.95</div><input id='attrs-f2e0be04-66b7-470a-8dbb-3178243fa52d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f2e0be04-66b7-470a-8dbb-3178243fa52d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80ef806d-a313-434f-81d0-b597432d00b7' class='xr-var-data-in' type='checkbox'><label for='data-80ef806d-a313-434f-81d0-b597432d00b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd></dl></div><div class='xr-var-data'><pre>array([[[       nan,        nan,        nan, ...,        nan,\n",
+       "       [358.59375, 360.     ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tos</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... -1.95 -1.95 -1.95</div><input id='attrs-cf680b4b-e645-4f0e-bbfd-bcf27c50e652' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf680b4b-e645-4f0e-bbfd-bcf27c50e652' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6b513cb-188d-4820-805c-d02ab0d6b8c6' class='xr-var-data-in' type='checkbox'><label for='data-d6b513cb-188d-4820-805c-d02ab0d6b8c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd></dl></div><div class='xr-var-data'><pre>array([[[       nan,        nan,        nan, ...,        nan,\n",
        "                nan,        nan],\n",
        "        [       nan,        nan,        nan, ...,        nan,\n",
        "                nan,        nan],\n",
@@ -1767,7 +1767,7 @@
        "        [-1.9443665, -1.9438171, -1.9432068, ..., -1.9456787,\n",
        "         -1.9453125, -1.9448853],\n",
        "        [-1.9501038, -1.9501038, -1.9501038, ..., -1.9501038,\n",
-       "         -1.9501038, -1.9501038]]], shape=(10, 192, 256), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7f1acd4a-8220-47fb-8a5e-2125e6b62879' class='xr-section-summary-in' type='checkbox' checked /><label for='section-7f1acd4a-8220-47fb-8a5e-2125e6b62879' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>tos_tavg-u-hxy-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-sea</dd><dt><span>creation_date :</span></dt><dd>2026-05-31T18:59:17Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacello</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-31T18:59:17Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/416e223a-d2e9-42e9-85e1-4ebbd0e29d8e</dd><dt><span>variable_id :</span></dt><dd>tos</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+       "         -1.9501038, -1.9501038]]], shape=(10, 192, 256), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-68d435e6-7b76-47e2-86e6-a0d13f0d7bcf' class='xr-section-summary-in' type='checkbox' checked /><label for='section-68d435e6-7b76-47e2-86e6-a0d13f0d7bcf' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>tos_tavg-u-hxy-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-sea</dd><dt><span>creation_date :</span></dt><dd>2026-06-05T21:59:20Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacello</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-06-05T21:59:20Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/f81ce082-86e4-413b-8b72-598c9e3ba40d</dd><dt><span>variable_id :</span></dt><dd>tos</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 2MB\n",
@@ -1788,7 +1788,7 @@
        "    area_label:            sea\n",
        "    branded_variable:      tos_tavg-u-hxy-sea\n",
        "    branding_suffix:       tavg-u-hxy-sea\n",
-       "    creation_date:         2026-05-31T18:59:17Z\n",
+       "    creation_date:         2026-06-05T21:59:20Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -1798,7 +1798,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-31T18:59:17Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-06-05T21:59:20Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1817,7 +1817,7 @@
        "    table_info:            Name: CMIP7_ocean.json; Creation Date:(2026-04-21 ...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/416e223a-d2e9-42e9-85e1-4ebbd0e29d8e\n",
+       "    tracking_id:           hdl:21.14107/f81ce082-86e4-413b-8b72-598c9e3ba40d\n",
        "    variable_id:           tos\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
@@ -1888,25 +1888,7 @@
    ]
   }
  ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.13.7"
-  }
- },
+ "metadata": {},
  "nbformat": 4,
  "nbformat_minor": 4
 }
diff --git a/notebooks/02_atmos_surface_air_temperature.ipynb b/notebooks/02_atmos_surface_air_temperature.ipynb
index ff6321b8..c637b348 100644
--- a/notebooks/02_atmos_surface_air_temperature.ipynb
+++ b/notebooks/02_atmos_surface_air_temperature.ipynb
@@ -653,14 +653,14 @@
        "    parent_experiment:      pre-industrial control\n",
        "    modeling_realm:         atmos\n",
        "    realization:            1\n",
-       "    cmor_version:           2.5.7</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-9d037558-a486-46bb-949f-aa459da156b6' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-9d037558-a486-46bb-949f-aa459da156b6' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 90</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div></li><li class='xr-section-item'><input id='section-3275a3be-f0b3-4655-ae63-364c22c8b3d3' class='xr-section-summary-in' type='checkbox' checked /><label for='section-3275a3be-f0b3-4655-ae63-364c22c8b3d3' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.5 45.0 74.5 ... 258.0 288.5</div><input id='attrs-345a292d-ae14-4217-a495-aa91baeb4b25' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-345a292d-ae14-4217-a495-aa91baeb4b25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-338e4ff1-13ce-4a02-874b-bf9f9d486b23' class='xr-var-data-in' type='checkbox'><label for='data-338e4ff1-13ce-4a02-874b-bf9f9d486b23' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1951-1-1</dd><dt><span>calendar :</span></dt><dd>365_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([ 15.5,  45. ,  74.5, 105. , 135.5, 166. , 196.5, 227.5, 258. , 288.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.0 -87.0 -85.0 ... 87.0 89.0</div><input id='attrs-4e6a78cf-7a04-49d9-a2f1-05fe17ea579c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e6a78cf-7a04-49d9-a2f1-05fe17ea579c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c8c5c58-9c93-4ae9-9ec4-787826ef86cf' class='xr-var-data-in' type='checkbox'><label for='data-8c8c5c58-9c93-4ae9-9ec4-787826ef86cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89., -87., -85., -83., -81., -79., -77., -75., -73., -71., -69., -67.,\n",
+       "    cmor_version:           2.5.7</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-cc35d9f3-9b6a-422c-a935-682c50eda2f1' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-cc35d9f3-9b6a-422c-a935-682c50eda2f1' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 90</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div></li><li class='xr-section-item'><input id='section-91494840-a1d7-4f9d-b187-61969a2b654f' class='xr-section-summary-in' type='checkbox' checked /><label for='section-91494840-a1d7-4f9d-b187-61969a2b654f' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.5 45.0 74.5 ... 258.0 288.5</div><input id='attrs-7b49c425-7133-42d2-8f83-20d789a77d91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b49c425-7133-42d2-8f83-20d789a77d91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b0dc9d4-f611-4432-a45c-231a0d3dae24' class='xr-var-data-in' type='checkbox'><label for='data-5b0dc9d4-f611-4432-a45c-231a0d3dae24' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1951-1-1</dd><dt><span>calendar :</span></dt><dd>365_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([ 15.5,  45. ,  74.5, 105. , 135.5, 166. , 196.5, 227.5, 258. , 288.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.0 -87.0 -85.0 ... 87.0 89.0</div><input id='attrs-d2caa4a8-79b9-4934-873a-9d2eedea0126' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2caa4a8-79b9-4934-873a-9d2eedea0126' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5365339-1e78-45bb-b8cf-e994ad6eef9d' class='xr-var-data-in' type='checkbox'><label for='data-d5365339-1e78-45bb-b8cf-e994ad6eef9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89., -87., -85., -83., -81., -79., -77., -75., -73., -71., -69., -67.,\n",
        "       -65., -63., -61., -59., -57., -55., -53., -51., -49., -47., -45., -43.,\n",
        "       -41., -39., -37., -35., -33., -31., -29., -27., -25., -23., -21., -19.,\n",
        "       -17., -15., -13., -11.,  -9.,  -7.,  -5.,  -3.,  -1.,   1.,   3.,   5.,\n",
        "         7.,   9.,  11.,  13.,  15.,  17.,  19.,  21.,  23.,  25.,  27.,  29.,\n",
        "        31.,  33.,  35.,  37.,  39.,  41.,  43.,  45.,  47.,  49.,  51.,  53.,\n",
        "        55.,  57.,  59.,  61.,  63.,  65.,  67.,  69.,  71.,  73.,  75.,  77.,\n",
-       "        79.,  81.,  83.,  85.,  87.,  89.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.25 3.75 6.25 ... 356.2 358.8</div><input id='attrs-91425807-3fc3-4caf-9947-41deb337a60c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-91425807-3fc3-4caf-9947-41deb337a60c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c63774d4-6b28-455b-a1e2-4d6950da70cb' class='xr-var-data-in' type='checkbox'><label for='data-c63774d4-6b28-455b-a1e2-4d6950da70cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  1.25,   3.75,   6.25,   8.75,  11.25,  13.75,  16.25,  18.75,  21.25,\n",
+       "        79.,  81.,  83.,  85.,  87.,  89.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.25 3.75 6.25 ... 356.2 358.8</div><input id='attrs-d544ed7e-24c7-4610-b231-27625a448b0e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d544ed7e-24c7-4610-b231-27625a448b0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d460f23-7a8c-471b-9bcf-23f503b2f7c3' class='xr-var-data-in' type='checkbox'><label for='data-7d460f23-7a8c-471b-9bcf-23f503b2f7c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  1.25,   3.75,   6.25,   8.75,  11.25,  13.75,  16.25,  18.75,  21.25,\n",
        "        23.75,  26.25,  28.75,  31.25,  33.75,  36.25,  38.75,  41.25,  43.75,\n",
        "        46.25,  48.75,  51.25,  53.75,  56.25,  58.75,  61.25,  63.75,  66.25,\n",
        "        68.75,  71.25,  73.75,  76.25,  78.75,  81.25,  83.75,  86.25,  88.75,\n",
@@ -675,7 +675,7 @@
        "       271.25, 273.75, 276.25, 278.75, 281.25, 283.75, 286.25, 288.75, 291.25,\n",
        "       293.75, 296.25, 298.75, 301.25, 303.75, 306.25, 308.75, 311.25, 313.75,\n",
        "       316.25, 318.75, 321.25, 323.75, 326.25, 328.75, 331.25, 333.75, 336.25,\n",
-       "       338.75, 341.25, 343.75, 346.25, 348.75, 351.25, 353.75, 356.25, 358.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-d9a6230b-46c4-4697-b4d8-f60fe9199271' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9a6230b-46c4-4697-b4d8-f60fe9199271' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eab302c2-3a9d-4fff-8f26-888b0de74a55' class='xr-var-data-in' type='checkbox'><label for='data-eab302c2-3a9d-4fff-8f26-888b0de74a55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ead02f20-2f56-41f0-aab7-ef52dee926f6' class='xr-section-summary-in' type='checkbox' checked /><label for='section-ead02f20-2f56-41f0-aab7-ef52dee926f6' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 31.0 31.0 ... 273.0 273.0 304.0</div><input id='attrs-3c1c59e4-a179-403c-b4e5-8ec68d641318' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3c1c59e4-a179-403c-b4e5-8ec68d641318' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3e5c970-f8aa-4cf4-97d7-0eb6f7b2d141' class='xr-var-data-in' type='checkbox'><label for='data-e3e5c970-f8aa-4cf4-97d7-0eb6f7b2d141' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  31.],\n",
+       "       338.75, 341.25, 343.75, 346.25, 348.75, 351.25, 353.75, 356.25, 358.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-7b770fd2-26e8-401a-bf30-df5c43dc2f8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b770fd2-26e8-401a-bf30-df5c43dc2f8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23b855a7-af36-463b-8c89-461f193cfdd1' class='xr-var-data-in' type='checkbox'><label for='data-23b855a7-af36-463b-8c89-461f193cfdd1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-10bda6a7-355f-4931-8e78-b2973c30bd68' class='xr-section-summary-in' type='checkbox' checked /><label for='section-10bda6a7-355f-4931-8e78-b2973c30bd68' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 31.0 31.0 ... 273.0 273.0 304.0</div><input id='attrs-f8736c5d-d600-4c7b-b54b-e1ce1d1462ff' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f8736c5d-d600-4c7b-b54b-e1ce1d1462ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3cb79fa-0330-4e01-a81e-5718452a35d9' class='xr-var-data-in' type='checkbox'><label for='data-c3cb79fa-0330-4e01-a81e-5718452a35d9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  31.],\n",
        "       [ 31.,  59.],\n",
        "       [ 59.,  90.],\n",
        "       [ 90., 120.],\n",
@@ -684,7 +684,7 @@
        "       [181., 212.],\n",
        "       [212., 243.],\n",
        "       [243., 273.],\n",
-       "       [273., 304.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.0 -88.0 ... 88.0 90.0</div><input id='attrs-1f6d324e-6c36-40b5-a0b6-ae33898026c3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1f6d324e-6c36-40b5-a0b6-ae33898026c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96345985-bc1f-44e2-86db-cd7c86f44210' class='xr-var-data-in' type='checkbox'><label for='data-96345985-bc1f-44e2-86db-cd7c86f44210' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -88.],\n",
+       "       [273., 304.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.0 -88.0 ... 88.0 90.0</div><input id='attrs-62fc83d6-469e-483b-b142-223a00f8ac4e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-62fc83d6-469e-483b-b142-223a00f8ac4e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b78d8973-ba74-4871-95dc-ef3ef50c26a4' class='xr-var-data-in' type='checkbox'><label for='data-b78d8973-ba74-4871-95dc-ef3ef50c26a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -88.],\n",
        "       [-88., -86.],\n",
        "       [-86., -84.],\n",
        "       [-84., -82.],\n",
@@ -724,7 +724,7 @@
        "       [ 82.,  84.],\n",
        "       [ 84.,  86.],\n",
        "       [ 86.,  88.],\n",
-       "       [ 88.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.5 2.5 ... 357.5 357.5 360.0</div><input id='attrs-9fa333e1-ac05-4d2b-8c38-6fe518abb9a2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9fa333e1-ac05-4d2b-8c38-6fe518abb9a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ac5ddd8-cb7d-4b0d-a731-0e3130bde436' class='xr-var-data-in' type='checkbox'><label for='data-1ac5ddd8-cb7d-4b0d-a731-0e3130bde436' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0. ,   2.5],\n",
+       "       [ 88.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.5 2.5 ... 357.5 357.5 360.0</div><input id='attrs-cad9b7d8-b236-4c37-90e9-a39349539d8d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cad9b7d8-b236-4c37-90e9-a39349539d8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e77b3572-d1bb-4da8-9dcf-8cfd8b85c32d' class='xr-var-data-in' type='checkbox'><label for='data-e77b3572-d1bb-4da8-9dcf-8cfd8b85c32d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0. ,   2.5],\n",
        "       [  2.5,   5. ],\n",
        "       [  5. ,   7.5],\n",
        "       [  7.5,  10. ],\n",
@@ -764,7 +764,7 @@
        "       [350. , 352.5],\n",
        "       [352.5, 355. ],\n",
        "       [355. , 357.5],\n",
-       "       [357.5, 360. ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>246.9 246.9 246.9 ... 259.4 259.4</div><input id='attrs-3c0361bc-9a1a-43b5-b894-4fedb9e599e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c0361bc-9a1a-43b5-b894-4fedb9e599e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-768ec10b-a311-43be-b9ca-96348af2d763' class='xr-var-data-in' type='checkbox'><label for='data-768ec10b-a311-43be-b9ca-96348af2d763' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>dummy</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-10-18T13:06:08Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2011-10-18T13:06:08Z altered by CMOR: replaced missing value flag (-1e+30) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_GISS-E2-H_historical_r0i0p0.nc areacella: areacella_fx_GISS-E2-H_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[[246.86728, 246.86728, 246.86728, ..., 246.86728, 246.86728,\n",
+       "       [357.5, 360. ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>246.9 246.9 246.9 ... 259.4 259.4</div><input id='attrs-45665e1a-4ba5-42e4-9c9e-b5ddb7149383' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45665e1a-4ba5-42e4-9c9e-b5ddb7149383' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e38e93a-cc37-4926-bc23-0b06771442e6' class='xr-var-data-in' type='checkbox'><label for='data-5e38e93a-cc37-4926-bc23-0b06771442e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>dummy</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-10-18T13:06:08Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2011-10-18T13:06:08Z altered by CMOR: replaced missing value flag (-1e+30) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_GISS-E2-H_historical_r0i0p0.nc areacella: areacella_fx_GISS-E2-H_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[[246.86728, 246.86728, 246.86728, ..., 246.86728, 246.86728,\n",
        "         246.86728],\n",
        "        [248.9035 , 248.54457, 248.41835, ..., 249.81686, 249.28986,\n",
        "         249.04837],\n",
@@ -804,7 +804,7 @@
        "        [260.8171 , 261.04578, 261.01935, ..., 261.011  , 260.5789 ,\n",
        "         260.7901 ],\n",
        "        [259.38904, 259.38904, 259.38904, ..., 259.38904, 259.38904,\n",
-       "         259.38904]]], shape=(10, 90, 144), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4191e010-fa89-42df-8bc9-2931a1f2154d' class='xr-section-summary-in' type='checkbox' checked /><label for='section-4191e010-fa89-42df-8bc9-2931a1f2154d' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(27)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>NASA/GISS (Goddard Institute for Space Studies) New York, NY</dd><dt><span>institute_id :</span></dt><dd>NASA-GISS</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>GISS-E2-H-Eh137Tcadf9a Atmosphere: GISS-E2; Ocean: H</dd><dt><span>model_id :</span></dt><dd>GISS-E2-H</dd><dt><span>forcing :</span></dt><dd>GHG, LU, Sl, Vl, BC, OC, SA, Oz (also includes orbital change - BC on snow - Nitrate aerosols)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p2</dd><dt><span>branch_time :</span></dt><dd>2490.0</dd><dt><span>contact :</span></dt><dd>Kenneth Lo (cdkkl@giss.nasa.gov)</dd><dt><span>references :</span></dt><dd>http://data.giss.nasa.gov/modelE/ar5</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>2</dd><dt><span>tracking_id :</span></dt><dd>d43050cd-5c43-4dc5-914a-f724463bc109</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2011-10-18T13:06:09Z</dd><dt><span>history :</span></dt><dd>2011-10-18T13:06:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (31 January 2011) 53b766a395ac41696af40aab76a49ae5</dd><dt><span>title :</span></dt><dd>GISS-E2-H model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.5.7</dd></dl></div></li></ul></div></div>"
+       "         259.38904]]], shape=(10, 90, 144), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dd2615b3-9e4c-46fa-9348-87ebad06c6c8' class='xr-section-summary-in' type='checkbox' checked /><label for='section-dd2615b3-9e4c-46fa-9348-87ebad06c6c8' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(27)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>NASA/GISS (Goddard Institute for Space Studies) New York, NY</dd><dt><span>institute_id :</span></dt><dd>NASA-GISS</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>GISS-E2-H-Eh137Tcadf9a Atmosphere: GISS-E2; Ocean: H</dd><dt><span>model_id :</span></dt><dd>GISS-E2-H</dd><dt><span>forcing :</span></dt><dd>GHG, LU, Sl, Vl, BC, OC, SA, Oz (also includes orbital change - BC on snow - Nitrate aerosols)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p2</dd><dt><span>branch_time :</span></dt><dd>2490.0</dd><dt><span>contact :</span></dt><dd>Kenneth Lo (cdkkl@giss.nasa.gov)</dd><dt><span>references :</span></dt><dd>http://data.giss.nasa.gov/modelE/ar5</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>2</dd><dt><span>tracking_id :</span></dt><dd>d43050cd-5c43-4dc5-914a-f724463bc109</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2011-10-18T13:06:09Z</dd><dt><span>history :</span></dt><dd>2011-10-18T13:06:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (31 January 2011) 53b766a395ac41696af40aab76a49ae5</dd><dt><span>title :</span></dt><dd>GISS-E2-H model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.5.7</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 524kB\n",
@@ -939,7 +939,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "output/02_atmos_surface_air_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tas/tavg-h2m-hxy-u/g999/v20260531/tas_tavg-h2m-hxy-u_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_195101-195110.nc\n"
+      "output/02_atmos_surface_air_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tas/tavg-h2m-hxy-u/g999/v20260605/tas_tavg-h2m-hxy-u_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_195101-195110.nc\n"
      ]
     }
    ],
@@ -1547,7 +1547,7 @@
        "    area_label:            u\n",
        "    branded_variable:      tas_tavg-h2m-hxy-u\n",
        "    branding_suffix:       tavg-h2m-hxy-u\n",
-       "    creation_date:         2026-05-31T18:59:19Z\n",
+       "    creation_date:         2026-06-05T21:59:23Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -1557,7 +1557,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-31T18:59:19Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-06-05T21:59:23Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1576,19 +1576,19 @@
        "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/24da3704-0843-49fb-abd9-3fa086d0c1cb\n",
+       "    tracking_id:           hdl:21.14107/690c47b6-9792-4b4a-8b94-8ed784e21eae\n",
        "    variable_id:           tas\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        h2m\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-dbfaebd4-6d39-42fd-9aad-50c76696f1f3' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-dbfaebd4-6d39-42fd-9aad-50c76696f1f3' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 90</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div></li><li class='xr-section-item'><input id='section-97e59faa-2c9e-4dc2-b861-8c6c9ce1bcc2' class='xr-section-summary-in' type='checkbox' checked /><label for='section-97e59faa-2c9e-4dc2-b861-8c6c9ce1bcc2' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.5 45.0 74.5 ... 258.0 288.5</div><input id='attrs-ecce3f64-abb9-4b73-8f93-e7b0e0d547d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ecce3f64-abb9-4b73-8f93-e7b0e0d547d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f47f09c-06c9-44ad-85bb-79edc9c37b66' class='xr-var-data-in' type='checkbox'><label for='data-2f47f09c-06c9-44ad-85bb-79edc9c37b66' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1951-1-1</dd><dt><span>calendar :</span></dt><dd>365_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([ 15.5,  45. ,  74.5, 105. , 135.5, 166. , 196.5, 227.5, 258. , 288.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.0 -87.0 -85.0 ... 87.0 89.0</div><input id='attrs-ce465c0a-ed64-49e2-b179-50eb17169969' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce465c0a-ed64-49e2-b179-50eb17169969' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7b89b14-62d7-45c6-bec5-6d8e8e334c1f' class='xr-var-data-in' type='checkbox'><label for='data-b7b89b14-62d7-45c6-bec5-6d8e8e334c1f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89., -87., -85., -83., -81., -79., -77., -75., -73., -71., -69., -67.,\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-05c1c6ec-4937-488a-bb22-aa811ce542a7' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-05c1c6ec-4937-488a-bb22-aa811ce542a7' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 90</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div></li><li class='xr-section-item'><input id='section-ec32c7df-ed1c-434d-95d4-5b4e39bc9993' class='xr-section-summary-in' type='checkbox' checked /><label for='section-ec32c7df-ed1c-434d-95d4-5b4e39bc9993' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.5 45.0 74.5 ... 258.0 288.5</div><input id='attrs-90778208-c94d-4339-8468-7e867a6f764f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90778208-c94d-4339-8468-7e867a6f764f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e28a9d8d-364d-4fd6-9836-e7ede67beffc' class='xr-var-data-in' type='checkbox'><label for='data-e28a9d8d-364d-4fd6-9836-e7ede67beffc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1951-1-1</dd><dt><span>calendar :</span></dt><dd>365_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([ 15.5,  45. ,  74.5, 105. , 135.5, 166. , 196.5, 227.5, 258. , 288.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.0 -87.0 -85.0 ... 87.0 89.0</div><input id='attrs-319948dd-63ac-4ee0-bc28-2b1399b09320' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-319948dd-63ac-4ee0-bc28-2b1399b09320' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5915c25-bd41-4234-838d-338fc9836848' class='xr-var-data-in' type='checkbox'><label for='data-d5915c25-bd41-4234-838d-338fc9836848' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89., -87., -85., -83., -81., -79., -77., -75., -73., -71., -69., -67.,\n",
        "       -65., -63., -61., -59., -57., -55., -53., -51., -49., -47., -45., -43.,\n",
        "       -41., -39., -37., -35., -33., -31., -29., -27., -25., -23., -21., -19.,\n",
        "       -17., -15., -13., -11.,  -9.,  -7.,  -5.,  -3.,  -1.,   1.,   3.,   5.,\n",
        "         7.,   9.,  11.,  13.,  15.,  17.,  19.,  21.,  23.,  25.,  27.,  29.,\n",
        "        31.,  33.,  35.,  37.,  39.,  41.,  43.,  45.,  47.,  49.,  51.,  53.,\n",
        "        55.,  57.,  59.,  61.,  63.,  65.,  67.,  69.,  71.,  73.,  75.,  77.,\n",
-       "        79.,  81.,  83.,  85.,  87.,  89.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.25 3.75 6.25 ... 356.2 358.8</div><input id='attrs-6bdf8668-2b99-46bb-ad80-a3e4ef198bf3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6bdf8668-2b99-46bb-ad80-a3e4ef198bf3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20fe748a-9361-48e6-b057-f3873791d692' class='xr-var-data-in' type='checkbox'><label for='data-20fe748a-9361-48e6-b057-f3873791d692' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  1.25,   3.75,   6.25,   8.75,  11.25,  13.75,  16.25,  18.75,  21.25,\n",
+       "        79.,  81.,  83.,  85.,  87.,  89.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.25 3.75 6.25 ... 356.2 358.8</div><input id='attrs-e33e0ce8-0589-40d5-aa55-61caed59fbae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e33e0ce8-0589-40d5-aa55-61caed59fbae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66a7b047-7b11-48ca-9171-0a63faaf4789' class='xr-var-data-in' type='checkbox'><label for='data-66a7b047-7b11-48ca-9171-0a63faaf4789' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  1.25,   3.75,   6.25,   8.75,  11.25,  13.75,  16.25,  18.75,  21.25,\n",
        "        23.75,  26.25,  28.75,  31.25,  33.75,  36.25,  38.75,  41.25,  43.75,\n",
        "        46.25,  48.75,  51.25,  53.75,  56.25,  58.75,  61.25,  63.75,  66.25,\n",
        "        68.75,  71.25,  73.75,  76.25,  78.75,  81.25,  83.75,  86.25,  88.75,\n",
@@ -1603,7 +1603,7 @@
        "       271.25, 273.75, 276.25, 278.75, 281.25, 283.75, 286.25, 288.75, 291.25,\n",
        "       293.75, 296.25, 298.75, 301.25, 303.75, 306.25, 308.75, 311.25, 313.75,\n",
        "       316.25, 318.75, 321.25, 323.75, 326.25, 328.75, 331.25, 333.75, 336.25,\n",
-       "       338.75, 341.25, 343.75, 346.25, 348.75, 351.25, 353.75, 356.25, 358.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-c686b615-9677-4e64-831e-88bcd697f4ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c686b615-9677-4e64-831e-88bcd697f4ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dac943e2-78b7-40cb-b730-fac38302d6bd' class='xr-var-data-in' type='checkbox'><label for='data-dac943e2-78b7-40cb-b730-fac38302d6bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e2665416-706a-4cc6-b5a2-8ec31e289768' class='xr-section-summary-in' type='checkbox' checked /><label for='section-e2665416-706a-4cc6-b5a2-8ec31e289768' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 31.0 31.0 ... 273.0 273.0 304.0</div><input id='attrs-70fc4d92-9be2-433e-b1ad-438f54bb5257' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-70fc4d92-9be2-433e-b1ad-438f54bb5257' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ab3e20e-bb1d-409b-831a-943e08223abb' class='xr-var-data-in' type='checkbox'><label for='data-2ab3e20e-bb1d-409b-831a-943e08223abb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  31.],\n",
+       "       338.75, 341.25, 343.75, 346.25, 348.75, 351.25, 353.75, 356.25, 358.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-61376632-10d3-4c68-90e3-fe2ee95319b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61376632-10d3-4c68-90e3-fe2ee95319b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb18077e-e33d-42e1-b1fb-eecea1cde4f8' class='xr-var-data-in' type='checkbox'><label for='data-eb18077e-e33d-42e1-b1fb-eecea1cde4f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f4a9c0f4-58b5-467d-b871-fe7cc3d16e35' class='xr-section-summary-in' type='checkbox' checked /><label for='section-f4a9c0f4-58b5-467d-b871-fe7cc3d16e35' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 31.0 31.0 ... 273.0 273.0 304.0</div><input id='attrs-679ee2ef-fed9-48ef-93fc-24a1520eeda8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-679ee2ef-fed9-48ef-93fc-24a1520eeda8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-107a1b27-1e2c-47b1-b706-7734bab562d2' class='xr-var-data-in' type='checkbox'><label for='data-107a1b27-1e2c-47b1-b706-7734bab562d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  31.],\n",
        "       [ 31.,  59.],\n",
        "       [ 59.,  90.],\n",
        "       [ 90., 120.],\n",
@@ -1612,7 +1612,7 @@
        "       [181., 212.],\n",
        "       [212., 243.],\n",
        "       [243., 273.],\n",
-       "       [273., 304.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.0 -88.0 ... 88.0 90.0</div><input id='attrs-26d66bb2-da5f-456a-b29d-192e860fdc7b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-26d66bb2-da5f-456a-b29d-192e860fdc7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a2e48f1-d841-4928-bdfb-732d9826d0bc' class='xr-var-data-in' type='checkbox'><label for='data-3a2e48f1-d841-4928-bdfb-732d9826d0bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -88.],\n",
+       "       [273., 304.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.0 -88.0 ... 88.0 90.0</div><input id='attrs-6aeb5d4f-57e0-42c3-8291-81458be1f0ea' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6aeb5d4f-57e0-42c3-8291-81458be1f0ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3e135cd-6175-452e-a2fa-7f3d19fc16aa' class='xr-var-data-in' type='checkbox'><label for='data-e3e135cd-6175-452e-a2fa-7f3d19fc16aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -88.],\n",
        "       [-88., -86.],\n",
        "       [-86., -84.],\n",
        "       [-84., -82.],\n",
@@ -1652,7 +1652,7 @@
        "       [ 82.,  84.],\n",
        "       [ 84.,  86.],\n",
        "       [ 86.,  88.],\n",
-       "       [ 88.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.5 2.5 ... 357.5 357.5 360.0</div><input id='attrs-15aeef5d-519f-4b68-8556-9dfed2e0ec6d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-15aeef5d-519f-4b68-8556-9dfed2e0ec6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6fd7664e-9152-4296-898e-044b90b8ef06' class='xr-var-data-in' type='checkbox'><label for='data-6fd7664e-9152-4296-898e-044b90b8ef06' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0. ,   2.5],\n",
+       "       [ 88.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.5 2.5 ... 357.5 357.5 360.0</div><input id='attrs-d3447a4f-4bc2-4688-a51d-316f19096875' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d3447a4f-4bc2-4688-a51d-316f19096875' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e647470b-ad3a-4266-85c2-5bed61fd982a' class='xr-var-data-in' type='checkbox'><label for='data-e647470b-ad3a-4266-85c2-5bed61fd982a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0. ,   2.5],\n",
        "       [  2.5,   5. ],\n",
        "       [  5. ,   7.5],\n",
        "       [  7.5,  10. ],\n",
@@ -1692,7 +1692,7 @@
        "       [350. , 352.5],\n",
        "       [352.5, 355. ],\n",
        "       [355. , 357.5],\n",
-       "       [357.5, 360. ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>246.9 246.9 246.9 ... 259.4 259.4</div><input id='attrs-00d6a11c-0c03-4df1-a7ef-705fe2ed6d96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00d6a11c-0c03-4df1-a7ef-705fe2ed6d96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8803b6b-a93a-4226-811f-83fb5144f930' class='xr-var-data-in' type='checkbox'><label for='data-c8803b6b-a93a-4226-811f-83fb5144f930' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>history :</span></dt><dd>2026-05-31T18:59:19Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;.</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[246.86728, 246.86728, 246.86728, ..., 246.86728, 246.86728,\n",
+       "       [357.5, 360. ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>246.9 246.9 246.9 ... 259.4 259.4</div><input id='attrs-6e775ae5-f522-48d8-9cc7-b0aace2346dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e775ae5-f522-48d8-9cc7-b0aace2346dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31fb2ab6-9de9-446f-bfa5-665a4fcf4df7' class='xr-var-data-in' type='checkbox'><label for='data-31fb2ab6-9de9-446f-bfa5-665a4fcf4df7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>history :</span></dt><dd>2026-06-05T21:59:23Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;.</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[246.86728, 246.86728, 246.86728, ..., 246.86728, 246.86728,\n",
        "         246.86728],\n",
        "        [248.9035 , 248.54457, 248.41835, ..., 249.81686, 249.28986,\n",
        "         249.04837],\n",
@@ -1732,7 +1732,7 @@
        "        [260.8171 , 261.04578, 261.01935, ..., 261.011  , 260.5789 ,\n",
        "         260.7901 ],\n",
        "        [259.38904, 259.38904, 259.38904, ..., 259.38904, 259.38904,\n",
-       "         259.38904]]], shape=(10, 90, 144), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8785f50a-883c-424b-a73f-dba2a5a23f2a' class='xr-section-summary-in' type='checkbox' checked /><label for='section-8785f50a-883c-424b-a73f-dba2a5a23f2a' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>tas_tavg-h2m-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-h2m-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-31T18:59:19Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-31T18:59:19Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/24da3704-0843-49fb-abd9-3fa086d0c1cb</dd><dt><span>variable_id :</span></dt><dd>tas</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>h2m</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+       "         259.38904]]], shape=(10, 90, 144), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9aa9351a-0d22-42ac-9fef-3f07b9cc05c1' class='xr-section-summary-in' type='checkbox' checked /><label for='section-9aa9351a-0d22-42ac-9fef-3f07b9cc05c1' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>tas_tavg-h2m-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-h2m-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-06-05T21:59:23Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-06-05T21:59:23Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/690c47b6-9792-4b4a-8b94-8ed784e21eae</dd><dt><span>variable_id :</span></dt><dd>tas</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>h2m</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 524kB\n",
@@ -1754,7 +1754,7 @@
        "    area_label:            u\n",
        "    branded_variable:      tas_tavg-h2m-hxy-u\n",
        "    branding_suffix:       tavg-h2m-hxy-u\n",
-       "    creation_date:         2026-05-31T18:59:19Z\n",
+       "    creation_date:         2026-06-05T21:59:23Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -1764,7 +1764,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-31T18:59:19Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-06-05T21:59:23Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1783,7 +1783,7 @@
        "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/24da3704-0843-49fb-abd9-3fa086d0c1cb\n",
+       "    tracking_id:           hdl:21.14107/690c47b6-9792-4b4a-8b94-8ed784e21eae\n",
        "    variable_id:           tas\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        h2m\n",
@@ -1854,25 +1854,7 @@
    ]
   }
  ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.13.7"
-  }
- },
+ "metadata": {},
  "nbformat": 4,
  "nbformat_minor": 4
 }
diff --git a/notebooks/03_pressure_level_air_temperature.ipynb b/notebooks/03_pressure_level_air_temperature.ipynb
index 713ff94d..3dd89ecb 100644
--- a/notebooks/03_pressure_level_air_temperature.ipynb
+++ b/notebooks/03_pressure_level_air_temperature.ipynb
@@ -677,7 +677,7 @@
        "    variant_label:          r1i1p1f1\n",
        "    version:                v20250810\n",
        "    license:                CMIP6 model data produced by E3SM-Project is lice...\n",
-       "    cmor_version:           3.11.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e3d72b7b-4cb1-4b12-a2e6-9789ea3b3f80' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-e3d72b7b-4cb1-4b12-a2e6-9789ea3b3f80' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 180</li><li><span class='xr-has-index'>lon</span>: 360</li><li><span class='xr-has-index'>plev</span>: 19</li></ul></div></li><li class='xr-section-item'><input id='section-9bea6188-bedb-4716-9e2a-476db7543187' class='xr-section-summary-in' type='checkbox' checked /><label for='section-9bea6188-bedb-4716-9e2a-476db7543187' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.316e+03 7.345e+03</div><input id='attrs-d47ab5c5-06b2-4cb6-a7df-601a7e1e917b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d47ab5c5-06b2-4cb6-a7df-601a7e1e917b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-187f0656-54bc-443c-9ca7-9d61bf6acd76' class='xr-var-data-in' type='checkbox'><label for='data-187f0656-54bc-443c-9ca7-9d61bf6acd76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-01-01 00:00:00</dd><dt><span>calendar :</span></dt><dd>noleap</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([7315.5, 7345. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.5 -88.5 -87.5 ... 88.5 89.5</div><input id='attrs-c51a072a-69ad-4cf1-b1b6-efb1375cfa7a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c51a072a-69ad-4cf1-b1b6-efb1375cfa7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3af35fa8-cfb7-4597-bdaf-eec7c63e79f1' class='xr-var-data-in' type='checkbox'><label for='data-3af35fa8-cfb7-4597-bdaf-eec7c63e79f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
+       "    cmor_version:           3.11.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-58d3fae0-480a-4fc3-8f59-5e9897b910f4' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-58d3fae0-480a-4fc3-8f59-5e9897b910f4' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 180</li><li><span class='xr-has-index'>lon</span>: 360</li><li><span class='xr-has-index'>plev</span>: 19</li></ul></div></li><li class='xr-section-item'><input id='section-520849fc-9ea0-4f0f-bde3-24fc7da769fb' class='xr-section-summary-in' type='checkbox' checked /><label for='section-520849fc-9ea0-4f0f-bde3-24fc7da769fb' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.316e+03 7.345e+03</div><input id='attrs-cc877288-726c-4863-8bde-018751f33289' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc877288-726c-4863-8bde-018751f33289' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-141209ce-5f7d-4b55-8607-7eb2b8c5b925' class='xr-var-data-in' type='checkbox'><label for='data-141209ce-5f7d-4b55-8607-7eb2b8c5b925' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-01-01 00:00:00</dd><dt><span>calendar :</span></dt><dd>noleap</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([7315.5, 7345. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.5 -88.5 -87.5 ... 88.5 89.5</div><input id='attrs-991ad64e-2ccb-4a85-8516-9f9a32c82b05' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-991ad64e-2ccb-4a85-8516-9f9a32c82b05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0468c66-304f-4c19-90b0-58978ad74c59' class='xr-var-data-in' type='checkbox'><label for='data-f0468c66-304f-4c19-90b0-58978ad74c59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
        "       -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,\n",
        "       -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5,\n",
        "       -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5,\n",
@@ -694,10 +694,10 @@
        "        50.5,  51.5,  52.5,  53.5,  54.5,  55.5,  56.5,  57.5,  58.5,  59.5,\n",
        "        60.5,  61.5,  62.5,  63.5,  64.5,  65.5,  66.5,  67.5,  68.5,  69.5,\n",
        "        70.5,  71.5,  72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,\n",
-       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5 1.5 2.5 ... 357.5 358.5 359.5</div><input id='attrs-db911dad-01e4-4569-ae29-25fbf72de7f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db911dad-01e4-4569-ae29-25fbf72de7f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3adda00-e069-4b5b-b650-dcd4e4eba2f8' class='xr-var-data-in' type='checkbox'><label for='data-c3adda00-e069-4b5b-b650-dcd4e4eba2f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.5,   1.5,   2.5, ..., 357.5, 358.5, 359.5], shape=(360,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>plev</span></div><div class='xr-var-dims'>(plev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05 9.25e+04 ... 500.0 100.0</div><input id='attrs-f718cffd-a36d-4f78-9888-36722ccbc5c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f718cffd-a36d-4f78-9888-36722ccbc5c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba879c58-1e16-40bb-9fb9-97ad7a9e3f7e' class='xr-var-data-in' type='checkbox'><label for='data-ba879c58-1e16-40bb-9fb9-97ad7a9e3f7e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>pressure</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd></dl></div><div class='xr-var-data'><pre>array([100000.,  92500.,  85000.,  70000.,  60000.,  50000.,  40000.,  30000.,\n",
+       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5 1.5 2.5 ... 357.5 358.5 359.5</div><input id='attrs-e9ec1ce3-4aea-4896-9066-c2e51e4243ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e9ec1ce3-4aea-4896-9066-c2e51e4243ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7974fe58-369d-4293-a4af-785fb2b6121c' class='xr-var-data-in' type='checkbox'><label for='data-7974fe58-369d-4293-a4af-785fb2b6121c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.5,   1.5,   2.5, ..., 357.5, 358.5, 359.5], shape=(360,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>plev</span></div><div class='xr-var-dims'>(plev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05 9.25e+04 ... 500.0 100.0</div><input id='attrs-ea90f264-d338-4bd3-ad2d-2a94f412f50c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea90f264-d338-4bd3-ad2d-2a94f412f50c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-154327ac-88fa-4abf-b0d3-d78f43ad920e' class='xr-var-data-in' type='checkbox'><label for='data-154327ac-88fa-4abf-b0d3-d78f43ad920e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>pressure</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd></dl></div><div class='xr-var-data'><pre>array([100000.,  92500.,  85000.,  70000.,  60000.,  50000.,  40000.,  30000.,\n",
        "        25000.,  20000.,  15000.,  10000.,   7000.,   5000.,   3000.,   2000.,\n",
-       "         1000.,    500.,    100.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d2e35bd5-17f4-4bd0-8702-eb8808e97313' class='xr-section-summary-in' type='checkbox' checked /><label for='section-d2e35bd5-17f4-4bd0-8702-eb8808e97313' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.3e+03 7.331e+03 ... 7.359e+03</div><input id='attrs-5b72c4d2-6215-4761-a30c-2c373b33d139' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5b72c4d2-6215-4761-a30c-2c373b33d139' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-858bd51d-6d7e-4ba9-be1f-e5c145a8c0d5' class='xr-var-data-in' type='checkbox'><label for='data-858bd51d-6d7e-4ba9-be1f-e5c145a8c0d5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[7300., 7331.],\n",
-       "       [7331., 7359.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -89.0 -89.0 ... 89.0 90.0</div><input id='attrs-ef9981c2-b0f6-4f6d-a1ab-a44a8f474e49' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ef9981c2-b0f6-4f6d-a1ab-a44a8f474e49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9015d10-989e-4c63-95f4-121df09bb775' class='xr-var-data-in' type='checkbox'><label for='data-b9015d10-989e-4c63-95f4-121df09bb775' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -89.],\n",
+       "         1000.,    500.,    100.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-91b5f893-4f1c-48b0-99cb-bed34bdf9af1' class='xr-section-summary-in' type='checkbox' checked /><label for='section-91b5f893-4f1c-48b0-99cb-bed34bdf9af1' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.3e+03 7.331e+03 ... 7.359e+03</div><input id='attrs-a91d4e8e-e648-4fb0-a98e-900bcac48801' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a91d4e8e-e648-4fb0-a98e-900bcac48801' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6dd889e5-5459-44ee-8a52-2919cd59ba7c' class='xr-var-data-in' type='checkbox'><label for='data-6dd889e5-5459-44ee-8a52-2919cd59ba7c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[7300., 7331.],\n",
+       "       [7331., 7359.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -89.0 -89.0 ... 89.0 90.0</div><input id='attrs-47649cc1-7e25-4eaf-9301-6f75011a7a06' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-47649cc1-7e25-4eaf-9301-6f75011a7a06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8de7487c-c86d-4b88-adb8-b694b6b1db91' class='xr-var-data-in' type='checkbox'><label for='data-8de7487c-c86d-4b88-adb8-b694b6b1db91' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -89.],\n",
        "       [-89., -88.],\n",
        "       [-88., -87.],\n",
        "       [-87., -86.],\n",
@@ -737,7 +737,7 @@
        "       [ 86.,  87.],\n",
        "       [ 87.,  88.],\n",
        "       [ 88.,  89.],\n",
-       "       [ 89.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 1.0 ... 359.0 359.0 360.0</div><input id='attrs-8b8f7ae2-f720-4d31-90b4-6a8cef589c05' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8b8f7ae2-f720-4d31-90b4-6a8cef589c05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0126ee5-5066-41b3-94ae-c0444a315811' class='xr-var-data-in' type='checkbox'><label for='data-f0126ee5-5066-41b3-94ae-c0444a315811' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,   1.],\n",
+       "       [ 89.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 1.0 ... 359.0 359.0 360.0</div><input id='attrs-1fae377c-24a2-4f91-abb0-7d199b9aa7c7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1fae377c-24a2-4f91-abb0-7d199b9aa7c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69273610-87c0-41da-aa72-96904398d23e' class='xr-var-data-in' type='checkbox'><label for='data-69273610-87c0-41da-aa72-96904398d23e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,   1.],\n",
        "       [  1.,   2.],\n",
        "       [  2.,   3.],\n",
        "       [  3.,   4.],\n",
@@ -777,7 +777,7 @@
        "       [356., 357.],\n",
        "       [357., 358.],\n",
        "       [358., 359.],\n",
-       "       [359., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, plev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 269.4 269.4 269.4</div><input id='attrs-07ec9027-2a7d-4438-917d-062810295a15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07ec9027-2a7d-4438-917d-062810295a15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56b9749b-a9e3-4198-a88f-f2bc6bfdf4d2' class='xr-var-data-in' type='checkbox'><label for='data-56b9749b-a9e3-4198-a88f-f2bc6bfdf4d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Air Temperature</dd><dt><span>comment :</span></dt><dd>Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "       [359., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, plev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 269.4 269.4 269.4</div><input id='attrs-74cadced-bb45-4c02-a379-7d105b4b4d29' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74cadced-bb45-4c02-a379-7d105b4b4d29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6a69731-bf55-4536-bff0-fbc51813cf7c' class='xr-var-data-in' type='checkbox'><label for='data-b6a69731-bf55-4536-bff0-fbc51813cf7c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Air Temperature</dd><dt><span>comment :</span></dt><dd>Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[      nan,       nan,       nan, ...,       nan,       nan,\n",
        "                nan],\n",
        "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
        "                nan],\n",
@@ -817,7 +817,7 @@
        "         [270.9006 , 270.89993, 270.89853, ..., 270.28284, 270.2842 ,\n",
        "          270.2849 ],\n",
        "         [270.00507, 270.00507, 270.00507, ..., 269.40063, 269.40063,\n",
-       "          269.40063]]]], shape=(2, 19, 180, 360), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-48a7b754-4b49-4692-befa-e1e6496ee805' class='xr-section-summary-in' type='checkbox' checked /><label for='section-48a7b754-4b49-4692-befa-e1e6496ee805' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(51)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>branch_method :</span></dt><dd>standard</dd><dt><span>branch_time_in_child :</span></dt><dd>0.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>18250.0</dd><dt><span>creation_date :</span></dt><dd>2025-08-10T17:00:06Z</dd><dt><span>data contact :</span></dt><dd>E3SM-DATA-SUPPORT@LLNL.GOV</dd><dt><span>data_specs_version :</span></dt><dd>01.00.33</dd><dt><span>experiment :</span></dt><dd>all-forcing simulation of the recent past</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.E3SM-Project.E3SM-3-0.historical.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>data regridded to a CMIP6 standard 1x1 degree lonxlat grid from the native grid using an area-average preserving method.</dd><dt><span>grid_label :</span></dt><dd>gr</dd><dt><span>history :</span></dt><dd>2025-08-10T17:00:06Z ;rewrote data to be consistent with CMIP for variable ta found in table Amon.;\n",
+       "          269.40063]]]], shape=(2, 19, 180, 360), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e8b0e85a-eacc-4069-b4e1-70b66e85a5ec' class='xr-section-summary-in' type='checkbox' checked /><label for='section-e8b0e85a-eacc-4069-b4e1-70b66e85a5ec' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(51)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>branch_method :</span></dt><dd>standard</dd><dt><span>branch_time_in_child :</span></dt><dd>0.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>18250.0</dd><dt><span>creation_date :</span></dt><dd>2025-08-10T17:00:06Z</dd><dt><span>data contact :</span></dt><dd>E3SM-DATA-SUPPORT@LLNL.GOV</dd><dt><span>data_specs_version :</span></dt><dd>01.00.33</dd><dt><span>experiment :</span></dt><dd>all-forcing simulation of the recent past</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.E3SM-Project.E3SM-3-0.historical.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>data regridded to a CMIP6 standard 1x1 degree lonxlat grid from the native grid using an area-average preserving method.</dd><dt><span>grid_label :</span></dt><dd>gr</dd><dt><span>history :</span></dt><dd>2025-08-10T17:00:06Z ;rewrote data to be consistent with CMIP for variable ta found in table Amon.;\n",
        "v3.LR.historical_0051</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>LLNL (Lawrence Livermore National Laboratory, Livermore, CA 94550, USA); ANL (Argonne National Laboratory, Argonne, IL 60439, USA); BNL (Brookhaven National Laboratory, Upton, NY 11973, USA); LANL (Los Alamos National Laboratory, Los Alamos, NM 87545, USA); LBNL (Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA); ORNL (Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA); PNNL (Pacific Northwest National Laboratory, Richland, WA 99352, USA); SNL (Sandia National Laboratories, Albuquerque, NM 87185, USA). Mailing address: LLNL Climate Program, c/o David C. Bader, Principal Investigator, L-103, 7000 East Avenue, Livermore, CA 94550, USA</dd><dt><span>institution_id :</span></dt><dd>E3SM-Project</dd><dt><span>label :</span></dt><dd>E3SM 3.0</dd><dt><span>label_extended :</span></dt><dd>E3SM 3.0 (Energy Exascale Earth System Model)</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>parent_activity_id :</span></dt><dd>CMIP</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_source_id :</span></dt><dd>E3SM-3-0</dd><dt><span>parent_time_units :</span></dt><dd>days since 0001-01-01</dd><dt><span>parent_variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>project PI :</span></dt><dd>Dr. Peter Caldwell (caldwell19@llnl.gov), Dr. Dave Bader (PI until Feb 2025)</dd><dt><span>realization_index :</span></dt><dd>1</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>references :</span></dt><dd>Xie, S., and co-authors, 2025: The Energy Exascale Earth System Model Version 3. Part I: Overview of the Atmospheric Component. ESS Open Archive. April 13, 2025. in review with JAMES; Golaz, J.-C. and co-authors, 2025: The Energy Exascale Earth System Model version 3. Part II: Overview of the coupled system. JAMES, in review concurrent to data publication</dd><dt><span>release_year :</span></dt><dd>2024</dd><dt><span>source :</span></dt><dd>E3SM 3.0 (2025): \n",
        "aerosol: MAM5 w/ prognostic stratospheric aerosols (atmos physics grid)\n",
        "atmos: EAM (E3SMv3.0, cubed sphere spectral-element; 5400 els., 30x30 per cube face. Dynamics: degree 3 (p=3) polynomials within each spectral els., 112 km ave. resolution. Physics: 2x2 finite volume cells within each spectral els., 1.5 degree (168 km) average grid spacing; 80 vertical layers w/ top at 60 km)\n",
@@ -985,7 +985,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "output/03_pressure_level_air_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/ta/tavg-p19-hxy-air/g999/v20260531/ta_tavg-p19-hxy-air_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_187001-187002.nc\n"
+      "output/03_pressure_level_air_temperature/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/ta/tavg-p19-hxy-air/g999/v20260605/ta_tavg-p19-hxy-air_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_187001-187002.nc\n"
      ]
     }
    ],
@@ -1593,7 +1593,7 @@
        "    area_label:            air\n",
        "    branded_variable:      ta_tavg-p19-hxy-air\n",
        "    branding_suffix:       tavg-p19-hxy-air\n",
-       "    creation_date:         2026-05-31T18:59:20Z\n",
+       "    creation_date:         2026-06-05T21:59:27Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -1603,7 +1603,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-31T18:59:20Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-06-05T21:59:27Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1622,12 +1622,12 @@
        "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/319da785-ab39-4e17-8ce7-4a19df737a06\n",
+       "    tracking_id:           hdl:21.14107/68194740-6201-4c23-8c14-40acf6955be7\n",
        "    variable_id:           ta\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        p19\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-01a125ee-6244-4723-960e-88938b38d868' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-01a125ee-6244-4723-960e-88938b38d868' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 180</li><li><span class='xr-has-index'>lon</span>: 360</li><li><span class='xr-has-index'>plev</span>: 19</li></ul></div></li><li class='xr-section-item'><input id='section-d44f1f60-3cce-4d5e-93ae-34317e1749e2' class='xr-section-summary-in' type='checkbox' checked /><label for='section-d44f1f60-3cce-4d5e-93ae-34317e1749e2' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.316e+03 7.345e+03</div><input id='attrs-acd469b6-1457-4403-a385-1f34fd98b4fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-acd469b6-1457-4403-a385-1f34fd98b4fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-173a1808-79ca-498a-b793-061349cfd95f' class='xr-var-data-in' type='checkbox'><label for='data-173a1808-79ca-498a-b793-061349cfd95f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-01-01 00:00:00</dd><dt><span>calendar :</span></dt><dd>noleap</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([7315.5, 7345. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.5 -88.5 -87.5 ... 88.5 89.5</div><input id='attrs-3844bac9-b89a-42f8-b5ed-9b8ad78c9f65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3844bac9-b89a-42f8-b5ed-9b8ad78c9f65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ede11f84-a961-430e-85b4-bc97a7070883' class='xr-var-data-in' type='checkbox'><label for='data-ede11f84-a961-430e-85b4-bc97a7070883' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0398d008-ff1e-48f4-9b23-43ed76e99cb4' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-0398d008-ff1e-48f4-9b23-43ed76e99cb4' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 180</li><li><span class='xr-has-index'>lon</span>: 360</li><li><span class='xr-has-index'>plev</span>: 19</li></ul></div></li><li class='xr-section-item'><input id='section-f0a366ce-7633-4d3d-abc8-13a2c3e81018' class='xr-section-summary-in' type='checkbox' checked /><label for='section-f0a366ce-7633-4d3d-abc8-13a2c3e81018' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.316e+03 7.345e+03</div><input id='attrs-601a919e-25b4-4747-91b2-df21e72fd7a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-601a919e-25b4-4747-91b2-df21e72fd7a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ef9e98e-8ce8-454b-ac0c-daf90054bbb8' class='xr-var-data-in' type='checkbox'><label for='data-9ef9e98e-8ce8-454b-ac0c-daf90054bbb8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-01-01 00:00:00</dd><dt><span>calendar :</span></dt><dd>noleap</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([7315.5, 7345. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.5 -88.5 -87.5 ... 88.5 89.5</div><input id='attrs-29a131ad-19ae-4c04-a7f3-2e583a447179' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29a131ad-19ae-4c04-a7f3-2e583a447179' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f56cbfd4-0c58-4a27-8854-7838c4d13b9b' class='xr-var-data-in' type='checkbox'><label for='data-f56cbfd4-0c58-4a27-8854-7838c4d13b9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
        "       -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,\n",
        "       -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5,\n",
        "       -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5,\n",
@@ -1644,10 +1644,10 @@
        "        50.5,  51.5,  52.5,  53.5,  54.5,  55.5,  56.5,  57.5,  58.5,  59.5,\n",
        "        60.5,  61.5,  62.5,  63.5,  64.5,  65.5,  66.5,  67.5,  68.5,  69.5,\n",
        "        70.5,  71.5,  72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,\n",
-       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5 1.5 2.5 ... 357.5 358.5 359.5</div><input id='attrs-4417f076-85f3-4b89-a655-7e2314f75eec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4417f076-85f3-4b89-a655-7e2314f75eec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84de351b-d62b-454b-80a3-463a1d6abeb4' class='xr-var-data-in' type='checkbox'><label for='data-84de351b-d62b-454b-80a3-463a1d6abeb4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.5,   1.5,   2.5, ..., 357.5, 358.5, 359.5], shape=(360,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>plev</span></div><div class='xr-var-dims'>(plev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05 9.25e+04 ... 500.0 100.0</div><input id='attrs-2abdd9ad-ca1f-4996-ae42-75544248119a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2abdd9ad-ca1f-4996-ae42-75544248119a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-693115dd-7585-4e60-abfd-64aaed994cc6' class='xr-var-data-in' type='checkbox'><label for='data-693115dd-7585-4e60-abfd-64aaed994cc6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>Pressure Levels (19)</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd></dl></div><div class='xr-var-data'><pre>array([100000.,  92500.,  85000.,  70000.,  60000.,  50000.,  40000.,  30000.,\n",
+       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5 1.5 2.5 ... 357.5 358.5 359.5</div><input id='attrs-c52e12cb-8f0d-433d-988c-054c7cd6b055' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c52e12cb-8f0d-433d-988c-054c7cd6b055' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3708618-e426-4d5b-b8e7-ac68a4f3461b' class='xr-var-data-in' type='checkbox'><label for='data-d3708618-e426-4d5b-b8e7-ac68a4f3461b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.5,   1.5,   2.5, ..., 357.5, 358.5, 359.5], shape=(360,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>plev</span></div><div class='xr-var-dims'>(plev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05 9.25e+04 ... 500.0 100.0</div><input id='attrs-7873d942-b54b-47fc-bcb3-ae3e4f6f0f6b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7873d942-b54b-47fc-bcb3-ae3e4f6f0f6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5fbf81ec-b5e0-4776-8f22-4c6290d7b033' class='xr-var-data-in' type='checkbox'><label for='data-5fbf81ec-b5e0-4776-8f22-4c6290d7b033' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>Pressure Levels (19)</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd></dl></div><div class='xr-var-data'><pre>array([100000.,  92500.,  85000.,  70000.,  60000.,  50000.,  40000.,  30000.,\n",
        "        25000.,  20000.,  15000.,  10000.,   7000.,   5000.,   3000.,   2000.,\n",
-       "         1000.,    500.,    100.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6c287de5-e657-41cc-88ec-0da850b36fc9' class='xr-section-summary-in' type='checkbox' checked /><label for='section-6c287de5-e657-41cc-88ec-0da850b36fc9' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.3e+03 7.331e+03 ... 7.359e+03</div><input id='attrs-d390f026-37a0-4634-9917-9cdbba812020' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d390f026-37a0-4634-9917-9cdbba812020' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1497a2da-01a7-4460-a740-d096fff7fb1a' class='xr-var-data-in' type='checkbox'><label for='data-1497a2da-01a7-4460-a740-d096fff7fb1a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[7300., 7331.],\n",
-       "       [7331., 7359.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -89.0 -89.0 ... 89.0 90.0</div><input id='attrs-a83eb462-6161-409f-b06d-dfeaf1700d3d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a83eb462-6161-409f-b06d-dfeaf1700d3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68f0d435-bc87-4c06-93a5-768a84172147' class='xr-var-data-in' type='checkbox'><label for='data-68f0d435-bc87-4c06-93a5-768a84172147' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -89.],\n",
+       "         1000.,    500.,    100.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7fa85a65-a439-41d5-983f-36d51dc485ea' class='xr-section-summary-in' type='checkbox' checked /><label for='section-7fa85a65-a439-41d5-983f-36d51dc485ea' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.3e+03 7.331e+03 ... 7.359e+03</div><input id='attrs-d1c8b55c-23c5-4cfd-8ccb-db5a124e0890' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d1c8b55c-23c5-4cfd-8ccb-db5a124e0890' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f8d2519-4d0a-4d3c-afe0-e94fa7344bac' class='xr-var-data-in' type='checkbox'><label for='data-4f8d2519-4d0a-4d3c-afe0-e94fa7344bac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[7300., 7331.],\n",
+       "       [7331., 7359.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -89.0 -89.0 ... 89.0 90.0</div><input id='attrs-b47ffbf8-6d2a-4e7d-b697-b9ca68fa0357' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b47ffbf8-6d2a-4e7d-b697-b9ca68fa0357' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2fcb5b85-306d-4bc1-94e7-e59e32d067f8' class='xr-var-data-in' type='checkbox'><label for='data-2fcb5b85-306d-4bc1-94e7-e59e32d067f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -89.],\n",
        "       [-89., -88.],\n",
        "       [-88., -87.],\n",
        "       [-87., -86.],\n",
@@ -1687,7 +1687,7 @@
        "       [ 86.,  87.],\n",
        "       [ 87.,  88.],\n",
        "       [ 88.,  89.],\n",
-       "       [ 89.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 1.0 ... 359.0 359.0 360.0</div><input id='attrs-98e5c59c-d4d1-4af4-8673-5d47dc33763d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-98e5c59c-d4d1-4af4-8673-5d47dc33763d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e918a7a3-c1b5-461b-b892-de7b76b23431' class='xr-var-data-in' type='checkbox'><label for='data-e918a7a3-c1b5-461b-b892-de7b76b23431' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,   1.],\n",
+       "       [ 89.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 1.0 ... 359.0 359.0 360.0</div><input id='attrs-9857f326-6de7-46be-9595-76fa910c389f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9857f326-6de7-46be-9595-76fa910c389f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f72a47d0-1146-4b0e-a742-152208be86c6' class='xr-var-data-in' type='checkbox'><label for='data-f72a47d0-1146-4b0e-a742-152208be86c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,   1.],\n",
        "       [  1.,   2.],\n",
        "       [  2.,   3.],\n",
        "       [  3.,   4.],\n",
@@ -1727,7 +1727,7 @@
        "       [356., 357.],\n",
        "       [357., 358.],\n",
        "       [358., 359.],\n",
-       "       [359., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, plev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 269.4 269.4 269.4</div><input id='attrs-bab69b82-afe9-4c02-a6ea-31548043c37d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bab69b82-afe9-4c02-a6ea-31548043c37d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-948e1813-d033-4e5f-a129-6666b9193f20' class='xr-var-data-in' type='checkbox'><label for='data-948e1813-d033-4e5f-a129-6666b9193f20' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean where air</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "       [359., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, plev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 269.4 269.4 269.4</div><input id='attrs-4dc209ee-c211-445c-8207-1f5661cd35ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4dc209ee-c211-445c-8207-1f5661cd35ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95d4841e-e022-4695-b361-4897473407d5' class='xr-var-data-in' type='checkbox'><label for='data-95d4841e-e022-4695-b361-4897473407d5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean where air</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[      nan,       nan,       nan, ...,       nan,       nan,\n",
        "                nan],\n",
        "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
        "                nan],\n",
@@ -1767,7 +1767,7 @@
        "         [270.9006 , 270.89993, 270.89853, ..., 270.28284, 270.2842 ,\n",
        "          270.2849 ],\n",
        "         [270.00507, 270.00507, 270.00507, ..., 269.40063, 269.40063,\n",
-       "          269.40063]]]], shape=(2, 19, 180, 360), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8b68f799-aaf6-4680-bd13-e4aec777d680' class='xr-section-summary-in' type='checkbox' checked /><label for='section-8b68f799-aaf6-4680-bd13-e4aec777d680' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>air</dd><dt><span>branded_variable :</span></dt><dd>ta_tavg-p19-hxy-air</dd><dt><span>branding_suffix :</span></dt><dd>tavg-p19-hxy-air</dd><dt><span>creation_date :</span></dt><dd>2026-05-31T18:59:20Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-31T18:59:20Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/319da785-ab39-4e17-8ce7-4a19df737a06</dd><dt><span>variable_id :</span></dt><dd>ta</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>p19</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+       "          269.40063]]]], shape=(2, 19, 180, 360), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a4d22330-68c2-406c-8b9f-33bac52e9533' class='xr-section-summary-in' type='checkbox' checked /><label for='section-a4d22330-68c2-406c-8b9f-33bac52e9533' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>air</dd><dt><span>branded_variable :</span></dt><dd>ta_tavg-p19-hxy-air</dd><dt><span>branding_suffix :</span></dt><dd>tavg-p19-hxy-air</dd><dt><span>creation_date :</span></dt><dd>2026-06-05T21:59:27Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-06-05T21:59:27Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/68194740-6201-4c23-8c14-40acf6955be7</dd><dt><span>variable_id :</span></dt><dd>ta</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>p19</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 10MB\n",
@@ -1789,7 +1789,7 @@
        "    area_label:            air\n",
        "    branded_variable:      ta_tavg-p19-hxy-air\n",
        "    branding_suffix:       tavg-p19-hxy-air\n",
-       "    creation_date:         2026-05-31T18:59:20Z\n",
+       "    creation_date:         2026-06-05T21:59:27Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -1799,7 +1799,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-31T18:59:20Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-06-05T21:59:27Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1818,7 +1818,7 @@
        "    table_info:            Name: CMIP7_atmos.json; Creation Date:(2026-04-21 ...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/319da785-ab39-4e17-8ce7-4a19df737a06\n",
+       "    tracking_id:           hdl:21.14107/68194740-6201-4c23-8c14-40acf6955be7\n",
        "    variable_id:           ta\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        p19\n",
@@ -1889,25 +1889,7 @@
    ]
   }
  ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.13.7"
-  }
- },
+ "metadata": {},
  "nbformat": 4,
  "nbformat_minor": 4
 }
diff --git a/notebooks/04_hybrid_sigma_humidity_tendency.ipynb b/notebooks/04_hybrid_sigma_humidity_tendency.ipynb
index 5e095ba9..b66fc99f 100644
--- a/notebooks/04_hybrid_sigma_humidity_tendency.ipynb
+++ b/notebooks/04_hybrid_sigma_humidity_tendency.ipynb
@@ -671,12 +671,12 @@
        "    variant_label:         r2i1p1f2\n",
        "    license:               CMIP6 model data produced by MIROC is licensed und...\n",
        "    cmor_version:          3.3.2\n",
-       "    tracking_id:           hdl:21.14100/f575a148-89c0-40d7-bdd5-b67e0f73cf4a</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c297fa6f-3d3d-4713-8218-22498df6745b' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-c297fa6f-3d3d-4713-8218-22498df6745b' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 5</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lev</span>: 40</li><li><span class='xr-has-index'>lat</span>: 64</li><li><span class='xr-has-index'>lon</span>: 128</li></ul></div></li><li class='xr-section-item'><input id='section-8b1f981e-6692-417c-8461-22fc6e363c9f' class='xr-section-summary-in' type='checkbox' checked /><label for='section-8b1f981e-6692-417c-8461-22fc6e363c9f' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.5 45.0 74.5 105.0 135.5</div><input id='attrs-6927db4a-ce88-4eb8-a866-9ea6c431fa4f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6927db4a-ce88-4eb8-a866-9ea6c431fa4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-920a2d7c-7b02-4089-bb41-23522ed016a1' class='xr-var-data-in' type='checkbox'><label for='data-920a2d7c-7b02-4089-bb41-23522ed016a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1979-1-1</dd><dt><span>calendar :</span></dt><dd>gregorian</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([ 15.5,  45. ,  74.5, 105. , 135.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9975 0.9915 ... 0.0106 0.002905</div><input id='attrs-531c1409-61e5-41f6-8793-8fdc9c2aee84' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-531c1409-61e5-41f6-8793-8fdc9c2aee84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d843ff9-a40c-4dfb-bd3b-9aaf240ca056' class='xr-var-data-in' type='checkbox'><label for='data-8d843ff9-a40c-4dfb-bd3b-9aaf240ca056' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lev_bnds</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>hybrid sigma pressure coordinate</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a b: b ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([0.997499, 0.991499, 0.982997, 0.971996, 0.958493, 0.94199 , 0.922486,\n",
+       "    tracking_id:           hdl:21.14100/f575a148-89c0-40d7-bdd5-b67e0f73cf4a</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-789c7649-9d5e-4305-9fe9-a4672289dbc6' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-789c7649-9d5e-4305-9fe9-a4672289dbc6' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 5</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lev</span>: 40</li><li><span class='xr-has-index'>lat</span>: 64</li><li><span class='xr-has-index'>lon</span>: 128</li></ul></div></li><li class='xr-section-item'><input id='section-79779d50-4ef3-49c5-8155-4ad6fc6ce985' class='xr-section-summary-in' type='checkbox' checked /><label for='section-79779d50-4ef3-49c5-8155-4ad6fc6ce985' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.5 45.0 74.5 105.0 135.5</div><input id='attrs-e8ae87a3-b133-4f31-a130-e2237d89768e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8ae87a3-b133-4f31-a130-e2237d89768e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21b65d94-9f1d-42a7-bb08-11f89b9c38f7' class='xr-var-data-in' type='checkbox'><label for='data-21b65d94-9f1d-42a7-bb08-11f89b9c38f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1979-1-1</dd><dt><span>calendar :</span></dt><dd>gregorian</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([ 15.5,  45. ,  74.5, 105. , 135.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9975 0.9915 ... 0.0106 0.002905</div><input id='attrs-1d789098-b82c-49bd-80f0-369a6c126bcf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d789098-b82c-49bd-80f0-369a6c126bcf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2e071d1-58bf-45d4-8974-69587a8bcd85' class='xr-var-data-in' type='checkbox'><label for='data-f2e071d1-58bf-45d4-8974-69587a8bcd85' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lev_bnds</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>hybrid sigma pressure coordinate</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a b: b ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([0.997499, 0.991499, 0.982997, 0.971996, 0.958493, 0.94199 , 0.922486,\n",
        "       0.900483, 0.875977, 0.848972, 0.819967, 0.786951, 0.746923, 0.698885,\n",
        "       0.642833, 0.574472, 0.501478, 0.43645 , 0.379852, 0.330596, 0.287725,\n",
        "       0.250411, 0.21794 , 0.189681, 0.16508 , 0.143673, 0.125043, 0.108828,\n",
        "       0.094716, 0.082434, 0.071745, 0.062441, 0.054278, 0.046937, 0.040158,\n",
-       "       0.033613, 0.026593, 0.018613, 0.010603, 0.002905])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-87.86 -85.1 -82.31 ... 85.1 87.86</div><input id='attrs-ba4978aa-5d9d-451c-ba0f-88fdf684c440' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba4978aa-5d9d-451c-ba0f-88fdf684c440' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6db8853-903c-421c-9bfa-c159cdcf9817' class='xr-var-data-in' type='checkbox'><label for='data-e6db8853-903c-421c-9bfa-c159cdcf9817' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-87.863799, -85.096527, -82.312913, -79.525607, -76.7369  , -73.947515,\n",
+       "       0.033613, 0.026593, 0.018613, 0.010603, 0.002905])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-87.86 -85.1 -82.31 ... 85.1 87.86</div><input id='attrs-68c4fce4-9ba7-45c0-9640-ffd52e3f89f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68c4fce4-9ba7-45c0-9640-ffd52e3f89f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70bbc519-cb8c-4032-beac-471659e99833' class='xr-var-data-in' type='checkbox'><label for='data-70bbc519-cb8c-4032-beac-471659e99833' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-87.863799, -85.096527, -82.312913, -79.525607, -76.7369  , -73.947515,\n",
        "       -71.157752, -68.367756, -65.577607, -62.787352, -59.99702 , -57.206632,\n",
        "       -54.4162  , -51.625734, -48.835241, -46.044727, -43.254195, -40.463648,\n",
        "       -37.67309 , -34.882521, -32.091944, -29.30136 , -26.510769, -23.720174,\n",
@@ -686,7 +686,7 @@
        "        29.30136 ,  32.091944,  34.882521,  37.67309 ,  40.463648,  43.254195,\n",
        "        46.044727,  48.835241,  51.625734,  54.4162  ,  57.206632,  59.99702 ,\n",
        "        62.787352,  65.577607,  68.367756,  71.157752,  73.947515,  76.7369  ,\n",
-       "        79.525607,  82.312913,  85.096527,  87.863799])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.812 5.625 ... 354.4 357.2</div><input id='attrs-f4d9ff75-974f-45fb-9073-961178b0c376' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4d9ff75-974f-45fb-9073-961178b0c376' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8929083a-4ec8-43a8-863c-982ba6b55e2e' class='xr-var-data-in' type='checkbox'><label for='data-8929083a-4ec8-43a8-863c-982ba6b55e2e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.    ,   2.8125,   5.625 ,   8.4375,  11.25  ,  14.0625,  16.875 ,\n",
+       "        79.525607,  82.312913,  85.096527,  87.863799])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.812 5.625 ... 354.4 357.2</div><input id='attrs-740bea04-cd66-4ebe-a0eb-e663988ad5e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-740bea04-cd66-4ebe-a0eb-e663988ad5e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a1e6af9-6b39-4423-bf4b-458906923bac' class='xr-var-data-in' type='checkbox'><label for='data-5a1e6af9-6b39-4423-bf4b-458906923bac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.    ,   2.8125,   5.625 ,   8.4375,  11.25  ,  14.0625,  16.875 ,\n",
        "        19.6875,  22.5   ,  25.3125,  28.125 ,  30.9375,  33.75  ,  36.5625,\n",
        "        39.375 ,  42.1875,  45.    ,  47.8125,  50.625 ,  53.4375,  56.25  ,\n",
        "        59.0625,  61.875 ,  64.6875,  67.5   ,  70.3125,  73.125 ,  75.9375,\n",
@@ -704,11 +704,11 @@
        "       295.3125, 298.125 , 300.9375, 303.75  , 306.5625, 309.375 , 312.1875,\n",
        "       315.    , 317.8125, 320.625 , 323.4375, 326.25  , 329.0625, 331.875 ,\n",
        "       334.6875, 337.5   , 340.3125, 343.125 , 345.9375, 348.75  , 351.5625,\n",
-       "       354.375 , 357.1875])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-383a156f-4332-4f6f-a059-313ebf64a0a2' class='xr-section-summary-in' type='checkbox' checked /><label for='section-383a156f-4332-4f6f-a059-313ebf64a0a2' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 31.0 31.0 ... 120.0 120.0 151.0</div><input id='attrs-1c15c568-311f-4493-9833-7ca44e49a684' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1c15c568-311f-4493-9833-7ca44e49a684' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a604b14c-1bae-4282-a7c8-34be40cb9164' class='xr-var-data-in' type='checkbox'><label for='data-a604b14c-1bae-4282-a7c8-34be40cb9164' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  31.],\n",
+       "       354.375 , 357.1875])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0f3324b6-896e-46c4-9f41-60c92805517f' class='xr-section-summary-in' type='checkbox' checked /><label for='section-0f3324b6-896e-46c4-9f41-60c92805517f' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 31.0 31.0 ... 120.0 120.0 151.0</div><input id='attrs-2439fade-f9ce-4549-9268-f673b51e25ba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2439fade-f9ce-4549-9268-f673b51e25ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9993a621-eb67-469f-a4b8-517605a3207e' class='xr-var-data-in' type='checkbox'><label for='data-9993a621-eb67-469f-a4b8-517605a3207e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  31.],\n",
        "       [ 31.,  59.],\n",
        "       [ 59.,  90.],\n",
        "       [ 90., 120.],\n",
-       "       [120., 151.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lev_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.995 0.995 ... 0.007 0.007 0.0</div><input id='attrs-c3bcabc5-563e-446a-85a6-218683d33d91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3bcabc5-563e-446a-85a6-218683d33d91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d25c2a08-9312-4a0c-b38a-09365eeeeef5' class='xr-var-data-in' type='checkbox'><label for='data-d25c2a08-9312-4a0c-b38a-09365eeeeef5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a_bnds b: b_bnds ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([[1.        , 0.995     ],\n",
+       "       [120., 151.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lev_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.995 0.995 ... 0.007 0.007 0.0</div><input id='attrs-78f66408-bc4a-409e-ac11-8b7f45ebe4a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78f66408-bc4a-409e-ac11-8b7f45ebe4a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7375566e-4c0b-4d54-b0fd-821e9073f8e9' class='xr-var-data-in' type='checkbox'><label for='data-7375566e-4c0b-4d54-b0fd-821e9073f8e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a_bnds b: b_bnds ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([[1.        , 0.995     ],\n",
        "       [0.995     , 0.98799998],\n",
        "       [0.98799998, 0.97799999],\n",
        "       [0.97799999, 0.96600002],\n",
@@ -747,21 +747,21 @@
        "       [0.030384  , 0.022927  ],\n",
        "       [0.022927  , 0.014526  ],\n",
        "       [0.014526  , 0.007     ],\n",
-       "       [0.007     , 0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p0</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05</div><input id='attrs-540276e9-95dc-4a2e-a611-774dc6e45af2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-540276e9-95dc-4a2e-a611-774dc6e45af2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-329f86e2-258d-464d-aa55-3f8efdedb275' class='xr-var-data-in' type='checkbox'><label for='data-329f86e2-258d-464d-aa55-3f8efdedb275' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: reference pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array(100000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.001113 0.003782 ... 0.002905</div><input id='attrs-deb7c404-bcec-45f7-90e4-7444a4343de4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-deb7c404-bcec-45f7-90e4-7444a4343de4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c81dc47f-d003-4629-aa9d-8b343875a31d' class='xr-var-data-in' type='checkbox'><label for='data-c81dc47f-d003-4629-aa9d-8b343875a31d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a(k)</dd></dl></div><div class='xr-var-data'><pre>array([0.00111275, 0.00378219, 0.0075645 , 0.01245857, 0.01846599,\n",
+       "       [0.007     , 0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p0</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05</div><input id='attrs-604bda88-d784-4399-be58-e5e3ad07bf00' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-604bda88-d784-4399-be58-e5e3ad07bf00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c20ffb77-8232-485b-a44f-ce408c137298' class='xr-var-data-in' type='checkbox'><label for='data-c20ffb77-8232-485b-a44f-ce408c137298' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: reference pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array(100000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.001113 0.003782 ... 0.002905</div><input id='attrs-b2e2bca8-27f3-410a-90bb-d64d6efb1723' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2e2bca8-27f3-410a-90bb-d64d6efb1723' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b66307bb-9a2b-48f0-be6f-29c468a9e6fa' class='xr-var-data-in' type='checkbox'><label for='data-b66307bb-9a2b-48f0-be6f-29c468a9e6fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a(k)</dd></dl></div><div class='xr-var-data'><pre>array([0.00111275, 0.00378219, 0.0075645 , 0.01245857, 0.01846599,\n",
        "       0.0258086 , 0.03448657, 0.04427587, 0.05518012, 0.06719563,\n",
        "       0.08010215, 0.09480408, 0.11264021, 0.13405917, 0.15908005,\n",
        "       0.18977115, 0.22239427, 0.2515278 , 0.27720865, 0.30309604,\n",
        "       0.2877251 , 0.25041144, 0.21794017, 0.18968127, 0.16508035,\n",
        "       0.1436727 , 0.12504333, 0.10882762, 0.09471573, 0.08243426,\n",
        "       0.07174488, 0.06244121, 0.05427773, 0.04693731, 0.04015774,\n",
-       "       0.03361269, 0.02659318, 0.01861324, 0.01060254, 0.00290465])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9964 0.9877 0.9754 ... 0.0 0.0</div><input id='attrs-e4e5bcaf-92e5-4363-b6e3-f031bfa4f481' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4e5bcaf-92e5-4363-b6e3-f031bfa4f481' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd76a66f-956f-4db6-83b5-d55fcece46be' class='xr-var-data-in' type='checkbox'><label for='data-bd76a66f-956f-4db6-83b5-d55fcece46be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b(k)</dd></dl></div><div class='xr-var-data'><pre>array([0.99638653, 0.98771632, 0.97543246, 0.95953703, 0.940027  ,\n",
+       "       0.03361269, 0.02659318, 0.01861324, 0.01060254, 0.00290465])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9964 0.9877 0.9754 ... 0.0 0.0</div><input id='attrs-abf66c3d-ebf4-4db7-a3f6-b0df3a34b5c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-abf66c3d-ebf4-4db7-a3f6-b0df3a34b5c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d30bf7f7-d4a2-46e3-9d3b-f86c6c7db5ee' class='xr-var-data-in' type='checkbox'><label for='data-d30bf7f7-d4a2-46e3-9d3b-f86c6c7db5ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b(k)</dd></dl></div><div class='xr-var-data'><pre>array([0.99638653, 0.98771632, 0.97543246, 0.95953703, 0.940027  ,\n",
        "       0.91618115, 0.88799924, 0.85620666, 0.82079691, 0.78177685,\n",
        "       0.73986518, 0.6921469 , 0.63428265, 0.56482565, 0.48375323,\n",
        "       0.38470095, 0.27908337, 0.18492202, 0.10264368, 0.02749949,\n",
        "       0.        , 0.        , 0.        , 0.        , 0.        ,\n",
        "       0.        , 0.        , 0.        , 0.        , 0.        ,\n",
        "       0.        , 0.        , 0.        , 0.        , 0.        ,\n",
-       "       0.        , 0.        , 0.        , 0.        , 0.        ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ps</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>6.951e+04 6.928e+04 ... 1.029e+05</div><input id='attrs-7535d805-0abd-48d5-933a-d52db9df4ef0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7535d805-0abd-48d5-933a-d52db9df4ef0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f682d55-43f6-4308-815a-26fbced6c985' class='xr-var-data-in' type='checkbox'><label for='data-6f682d55-43f6-4308-815a-26fbced6c985' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface Air Pressure</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>original_units :</span></dt><dd>hPa</dd><dt><span>history :</span></dt><dd>2020-08-15T22:41:28Z altered by CMOR: Converted units from &#x27;hPa&#x27; to &#x27;Pa&#x27;.</dd></dl></div><div class='xr-var-data'><pre>array([[[ 69506.68 ,  69276.34 ,  69050.01 , ...,  70217.68 ,\n",
+       "       0.        , 0.        , 0.        , 0.        , 0.        ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ps</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>6.951e+04 6.928e+04 ... 1.029e+05</div><input id='attrs-ae396875-2c56-43d5-9098-5c340ab8aaa8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae396875-2c56-43d5-9098-5c340ab8aaa8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c0f374a-8ad5-41d9-989b-b17738215992' class='xr-var-data-in' type='checkbox'><label for='data-8c0f374a-8ad5-41d9-989b-b17738215992' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface Air Pressure</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>original_units :</span></dt><dd>hPa</dd><dt><span>history :</span></dt><dd>2020-08-15T22:41:28Z altered by CMOR: Converted units from &#x27;hPa&#x27; to &#x27;Pa&#x27;.</dd></dl></div><div class='xr-var-data'><pre>array([[[ 69506.68 ,  69276.34 ,  69050.01 , ...,  70217.68 ,\n",
        "          69978.55 ,  69741.01 ],\n",
        "        [ 70131.305,  69566.664,  69032.41 , ...,  71992.38 ,\n",
        "          71346.164,  70724.734],\n",
@@ -801,7 +801,7 @@
        "        [102613.   , 102698.89 , 102761.94 , ..., 102212.695,\n",
        "         102369.51 , 102503.47 ],\n",
        "        [102897.48 , 102901.41 , 102903.77 , ..., 102873.05 ,\n",
-       "         102883.29 , 102891.95 ]]], shape=(5, 64, 128), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.002224 0.002224 ... 0.007 0.0</div><input id='attrs-3d050ca7-8e37-4554-9ac5-fb0cb78d8118' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d050ca7-8e37-4554-9ac5-fb0cb78d8118' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07baddac-6295-4021-8033-7bc5fcab0554' class='xr-var-data-in' type='checkbox'><label for='data-07baddac-6295-4021-8033-7bc5fcab0554' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[0.        , 0.00222387],\n",
+       "         102883.29 , 102891.95 ]]], shape=(5, 64, 128), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.002224 0.002224 ... 0.007 0.0</div><input id='attrs-d1b9c5de-147d-492e-b667-9c4d2cca4529' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1b9c5de-147d-492e-b667-9c4d2cca4529' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c50f1ad-f748-4e17-9211-453f7c0a9c8f' class='xr-var-data-in' type='checkbox'><label for='data-4c50f1ad-f748-4e17-9211-453f7c0a9c8f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[0.        , 0.00222387],\n",
        "       [0.00222387, 0.00533729],\n",
        "       [0.00533729, 0.00978502],\n",
        "       [0.00978502, 0.01512229],\n",
@@ -840,7 +840,7 @@
        "       [0.030384  , 0.022927  ],\n",
        "       [0.022927  , 0.014526  ],\n",
        "       [0.014526  , 0.007     ],\n",
-       "       [0.007     , 0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.9928 0.9928 ... 0.0 0.0 0.0</div><input id='attrs-ea993b3f-c9c5-47a3-b69b-957960d8917e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea993b3f-c9c5-47a3-b69b-957960d8917e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9924c47-d654-4c06-9082-732c9b01254d' class='xr-var-data-in' type='checkbox'><label for='data-b9924c47-d654-4c06-9082-732c9b01254d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[1.        , 0.99277616],\n",
+       "       [0.007     , 0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.9928 0.9928 ... 0.0 0.0 0.0</div><input id='attrs-51abe110-b1aa-494d-a07e-09fb97efc1d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51abe110-b1aa-494d-a07e-09fb97efc1d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db4389d8-d6a5-42b0-9794-20ddadafbcb9' class='xr-var-data-in' type='checkbox'><label for='data-db4389d8-d6a5-42b0-9794-20ddadafbcb9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[1.        , 0.99277616],\n",
        "       [0.99277616, 0.98266268],\n",
        "       [0.98266268, 0.96821499],\n",
        "       [0.96821499, 0.95087773],\n",
@@ -879,7 +879,7 @@
        "       [0.        , 0.        ],\n",
        "       [0.        , 0.        ],\n",
        "       [0.        , 0.        ],\n",
-       "       [0.        , 0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -86.58 -86.58 ... 86.58 90.0</div><input id='attrs-351dd199-164b-4576-aa79-4f3a659c4ce7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-351dd199-164b-4576-aa79-4f3a659c4ce7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd280e50-7561-44e7-981c-c11783bb9c79' class='xr-var-data-in' type='checkbox'><label for='data-dd280e50-7561-44e7-981c-c11783bb9c79' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.        , -86.57774751],\n",
+       "       [0.        , 0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -86.58 -86.58 ... 86.58 90.0</div><input id='attrs-8bc5ca47-bdc1-4f53-bd34-ed2fbfd88243' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8bc5ca47-bdc1-4f53-bd34-ed2fbfd88243' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7887e07a-f6e0-4372-9861-093127112d77' class='xr-var-data-in' type='checkbox'><label for='data-7887e07a-f6e0-4372-9861-093127112d77' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.        , -86.57774751],\n",
        "       [-86.57774751, -83.75702878],\n",
        "       [-83.75702878, -80.95502019],\n",
        "       [-80.95502019, -78.15834785],\n",
@@ -919,7 +919,7 @@
        "       [ 78.15834785,  80.95502019],\n",
        "       [ 80.95502019,  83.75702878],\n",
        "       [ 83.75702878,  86.57774751],\n",
-       "       [ 86.57774751,  90.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.406 1.406 1.406 ... 355.8 358.6</div><input id='attrs-5df35195-dbf1-4c61-bc4a-e357948a9897' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5df35195-dbf1-4c61-bc4a-e357948a9897' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a896090b-a13f-4d31-a88f-a19b1793335a' class='xr-var-data-in' type='checkbox'><label for='data-a896090b-a13f-4d31-a88f-a19b1793335a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -1.40625,   1.40625],\n",
+       "       [ 86.57774751,  90.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.406 1.406 1.406 ... 355.8 358.6</div><input id='attrs-5e550439-560c-439a-9f14-8c0c8fff4ea0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5e550439-560c-439a-9f14-8c0c8fff4ea0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a3e3f3e-d93b-4cb9-936f-c9b7bae2ac04' class='xr-var-data-in' type='checkbox'><label for='data-7a3e3f3e-d93b-4cb9-936f-c9b7bae2ac04' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -1.40625,   1.40625],\n",
        "       [  1.40625,   4.21875],\n",
        "       [  4.21875,   7.03125],\n",
        "       [  7.03125,   9.84375],\n",
@@ -959,7 +959,7 @@
        "       [347.34375, 350.15625],\n",
        "       [350.15625, 352.96875],\n",
        "       [352.96875, 355.78125],\n",
-       "       [355.78125, 358.59375]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tnhusscpbl</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-e09fa69b-898c-4f12-a12e-f4d261b0ee4f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e09fa69b-898c-4f12-a12e-f4d261b0ee4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f71365b3-dcf5-4a2d-803e-f902be764470' class='xr-var-data-in' type='checkbox'><label for='data-f71365b3-dcf5-4a2d-803e-f902be764470' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>tendency_of_specific_humidity_due_to_stratiform_cloud_and_precipitation_and_boundary_layer_mixing</dd><dt><span>long_name :</span></dt><dd>Tendency of Specific Humidity Due to Stratiform Cloud and Precipitation and Boundary Layer Mixing</dd><dt><span>comment :</span></dt><dd>Tendency of Specific Humidity Due to Stratiform Cloud and Precipitation and Boundary Layer Mixing  (to be specified only in  models which do not separate budget terms for stratiform cloud, precipitation and boundary layer schemes.  Includes all boundary layer terms including and diffusive terms.)</dd><dt><span>units :</span></dt><dd>s-1</dd><dt><span>original_name :</span></dt><dd>DQLSC</dd><dt><span>original_units :</span></dt><dd>1/s</dd><dt><span>history :</span></dt><dd>2020-08-15T22:41:28Z altered by CMOR: Converted units from &#x27;1/s&#x27; to &#x27;s-1&#x27;. 2020-08-15T22:41:28Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20). 2020-08-15T22:41:28Z altered by CMOR: Inverted axis: lat.</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
+       "       [355.78125, 358.59375]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tnhusscpbl</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-62bbf23e-67bb-4abc-8d38-f5759a252b91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62bbf23e-67bb-4abc-8d38-f5759a252b91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5914e19a-e874-4b66-a368-0cf20b6cb4f6' class='xr-var-data-in' type='checkbox'><label for='data-5914e19a-e874-4b66-a368-0cf20b6cb4f6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>tendency_of_specific_humidity_due_to_stratiform_cloud_and_precipitation_and_boundary_layer_mixing</dd><dt><span>long_name :</span></dt><dd>Tendency of Specific Humidity Due to Stratiform Cloud and Precipitation and Boundary Layer Mixing</dd><dt><span>comment :</span></dt><dd>Tendency of Specific Humidity Due to Stratiform Cloud and Precipitation and Boundary Layer Mixing  (to be specified only in  models which do not separate budget terms for stratiform cloud, precipitation and boundary layer schemes.  Includes all boundary layer terms including and diffusive terms.)</dd><dt><span>units :</span></dt><dd>s-1</dd><dt><span>original_name :</span></dt><dd>DQLSC</dd><dt><span>original_units :</span></dt><dd>1/s</dd><dt><span>history :</span></dt><dd>2020-08-15T22:41:28Z altered by CMOR: Converted units from &#x27;1/s&#x27; to &#x27;s-1&#x27;. 2020-08-15T22:41:28Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20). 2020-08-15T22:41:28Z altered by CMOR: Inverted axis: lat.</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
        "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
        "         [ 0.00000000e+00,  0.00000000e+00,  1.90706153e-12, ...,\n",
        "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
@@ -999,7 +999,7 @@
        "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
        "         [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
        "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00]]]],\n",
-       "      shape=(5, 40, 64, 128), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cc41b4b8-3c3e-4e61-a3d7-f2c27cc6305a' class='xr-section-summary-in' type='checkbox' checked /><label for='section-cc41b4b8-3c3e-4e61-a3d7-f2c27cc6305a' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(38)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>branch_method :</span></dt><dd>no parent</dd><dt><span>creation_date :</span></dt><dd>2020-08-15T22:41:28Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.28</dd><dt><span>experiment :</span></dt><dd>AMIP</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>2</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.MIROC.MIROC-ES2L.amip.none.r2i1p1f2</dd><dt><span>grid :</span></dt><dd>native atmosphere T42 Gaussian grid</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>history :</span></dt><dd>2020-08-15T22:41:28Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa 236-0001, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba 277-8564, Japan), NIES (National Institute for Environmental Studies, Ibaraki 305-8506, Japan), and R-CCS (RIKEN Center for Computational Science, Hyogo 650-0047, Japan)</dd><dt><span>institution_id :</span></dt><dd>MIROC</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>500 km</dd><dt><span>parent_activity_id :</span></dt><dd>no parent</dd><dt><span>parent_experiment_id :</span></dt><dd>no parent</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>2</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>source :</span></dt><dd>MIROC-ES2L (2018): \n",
+       "      shape=(5, 40, 64, 128), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fc583ce9-046d-420e-b3ae-d64d54e40faa' class='xr-section-summary-in' type='checkbox' checked /><label for='section-fc583ce9-046d-420e-b3ae-d64d54e40faa' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(38)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>branch_method :</span></dt><dd>no parent</dd><dt><span>creation_date :</span></dt><dd>2020-08-15T22:41:28Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.28</dd><dt><span>experiment :</span></dt><dd>AMIP</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>2</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.MIROC.MIROC-ES2L.amip.none.r2i1p1f2</dd><dt><span>grid :</span></dt><dd>native atmosphere T42 Gaussian grid</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>history :</span></dt><dd>2020-08-15T22:41:28Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa 236-0001, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba 277-8564, Japan), NIES (National Institute for Environmental Studies, Ibaraki 305-8506, Japan), and R-CCS (RIKEN Center for Computational Science, Hyogo 650-0047, Japan)</dd><dt><span>institution_id :</span></dt><dd>MIROC</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>500 km</dd><dt><span>parent_activity_id :</span></dt><dd>no parent</dd><dt><span>parent_experiment_id :</span></dt><dd>no parent</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>2</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>source :</span></dt><dd>MIROC-ES2L (2018): \n",
        "aerosol: SPRINTARS6.0\n",
        "atmos: CCSR AGCM (T42; 128 x 64 longitude/latitude; 40 levels; top level 3 hPa)\n",
        "atmosChem: none\n",
@@ -1167,7 +1167,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "output/04_hybrid_sigma_humidity_tendency/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tnhusscpbl/tavg-al-hxy-u/g999/v20260531/tnhusscpbl_tavg-al-hxy-u_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_197901-197905.nc\n"
+      "output/04_hybrid_sigma_humidity_tendency/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/tnhusscpbl/tavg-al-hxy-u/g999/v20260605/tnhusscpbl_tavg-al-hxy-u_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_197901-197905.nc\n"
      ]
     }
    ],
@@ -1788,7 +1788,7 @@
        "    area_label:            u\n",
        "    branded_variable:      tnhusscpbl_tavg-al-hxy-u\n",
        "    branding_suffix:       tavg-al-hxy-u\n",
-       "    creation_date:         2026-05-31T18:59:23Z\n",
+       "    creation_date:         2026-06-05T21:59:30Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -1798,7 +1798,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-31T18:59:23Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-06-05T21:59:30Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1822,12 +1822,12 @@
        "    vertical_label:        al\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
        "    cmor_version:          3.15.1\n",
-       "    tracking_id:           hdl:21.14107/132c5b50-411b-4c9e-b6da-e70a5cc40e73</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f74d41e8-c66d-4938-8b58-5fd20b1f2f2f' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-f74d41e8-c66d-4938-8b58-5fd20b1f2f2f' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 5</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lev</span>: 40</li><li><span class='xr-has-index'>lat</span>: 64</li><li><span class='xr-has-index'>lon</span>: 128</li></ul></div></li><li class='xr-section-item'><input id='section-b3c6ec5b-7fbe-4545-a9fd-a618dc6b5138' class='xr-section-summary-in' type='checkbox' checked /><label for='section-b3c6ec5b-7fbe-4545-a9fd-a618dc6b5138' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.5 45.0 74.5 105.0 135.5</div><input id='attrs-3efc2672-57e4-451c-93d1-3f52f1f54789' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3efc2672-57e4-451c-93d1-3f52f1f54789' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43ed9464-1434-4f75-b6ff-11b35756e535' class='xr-var-data-in' type='checkbox'><label for='data-43ed9464-1434-4f75-b6ff-11b35756e535' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1979-1-1</dd><dt><span>calendar :</span></dt><dd>gregorian</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([ 15.5,  45. ,  74.5, 105. , 135.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9975 0.9915 ... 0.0106 0.002905</div><input id='attrs-99fe4c42-e153-44c0-aa90-3b28bf5a90b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99fe4c42-e153-44c0-aa90-3b28bf5a90b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b6c2495-30c0-46a4-8650-fe30c85cbed6' class='xr-var-data-in' type='checkbox'><label for='data-7b6c2495-30c0-46a4-8650-fe30c85cbed6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lev_bnds</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>hybrid sigma pressure coordinate</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a b: b ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([0.997499, 0.991499, 0.982997, 0.971996, 0.958493, 0.94199 , 0.922486,\n",
+       "    tracking_id:           hdl:21.14107/0706140a-0c18-498b-a18a-b6dc2d5082cd</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a6c280da-0785-4ed1-863a-206f783ad09b' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-a6c280da-0785-4ed1-863a-206f783ad09b' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 5</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lev</span>: 40</li><li><span class='xr-has-index'>lat</span>: 64</li><li><span class='xr-has-index'>lon</span>: 128</li></ul></div></li><li class='xr-section-item'><input id='section-0e6e92f7-176d-4106-a9c2-e4092c543cbe' class='xr-section-summary-in' type='checkbox' checked /><label for='section-0e6e92f7-176d-4106-a9c2-e4092c543cbe' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.5 45.0 74.5 105.0 135.5</div><input id='attrs-c8f17704-4797-4fd8-8a9d-7d31806016c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8f17704-4797-4fd8-8a9d-7d31806016c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ca96f63-a49d-47d9-a582-1871d4ba1157' class='xr-var-data-in' type='checkbox'><label for='data-7ca96f63-a49d-47d9-a582-1871d4ba1157' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1979-1-1</dd><dt><span>calendar :</span></dt><dd>gregorian</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([ 15.5,  45. ,  74.5, 105. , 135.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9975 0.9915 ... 0.0106 0.002905</div><input id='attrs-e615ab49-282f-4fb7-9117-e69842de8366' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e615ab49-282f-4fb7-9117-e69842de8366' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-207175a9-4675-4a10-a128-faeaa4f74d97' class='xr-var-data-in' type='checkbox'><label for='data-207175a9-4675-4a10-a128-faeaa4f74d97' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lev_bnds</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>long_name :</span></dt><dd>hybrid sigma pressure coordinate</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a b: b ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([0.997499, 0.991499, 0.982997, 0.971996, 0.958493, 0.94199 , 0.922486,\n",
        "       0.900483, 0.875977, 0.848972, 0.819967, 0.786951, 0.746923, 0.698885,\n",
        "       0.642833, 0.574472, 0.501478, 0.43645 , 0.379852, 0.330596, 0.287725,\n",
        "       0.250411, 0.21794 , 0.189681, 0.16508 , 0.143673, 0.125043, 0.108828,\n",
        "       0.094716, 0.082434, 0.071745, 0.062441, 0.054278, 0.046937, 0.040158,\n",
-       "       0.033613, 0.026593, 0.018613, 0.010603, 0.002905])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-87.86 -85.1 -82.31 ... 85.1 87.86</div><input id='attrs-94d70c9f-3efc-4b5f-891e-cbd8fb9c3fe4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94d70c9f-3efc-4b5f-891e-cbd8fb9c3fe4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1b55f24-4590-4b06-b8a0-2c95a3850f15' class='xr-var-data-in' type='checkbox'><label for='data-a1b55f24-4590-4b06-b8a0-2c95a3850f15' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-87.863799, -85.096527, -82.312913, -79.525607, -76.7369  , -73.947515,\n",
+       "       0.033613, 0.026593, 0.018613, 0.010603, 0.002905])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-87.86 -85.1 -82.31 ... 85.1 87.86</div><input id='attrs-c53eaf8c-3951-410f-8f58-e91d716a7e41' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c53eaf8c-3951-410f-8f58-e91d716a7e41' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14470fd7-43ca-4787-b984-5a78d6c1e31e' class='xr-var-data-in' type='checkbox'><label for='data-14470fd7-43ca-4787-b984-5a78d6c1e31e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-87.863799, -85.096527, -82.312913, -79.525607, -76.7369  , -73.947515,\n",
        "       -71.157752, -68.367756, -65.577607, -62.787352, -59.99702 , -57.206632,\n",
        "       -54.4162  , -51.625734, -48.835241, -46.044727, -43.254195, -40.463648,\n",
        "       -37.67309 , -34.882521, -32.091944, -29.30136 , -26.510769, -23.720174,\n",
@@ -1837,7 +1837,7 @@
        "        29.30136 ,  32.091944,  34.882521,  37.67309 ,  40.463648,  43.254195,\n",
        "        46.044727,  48.835241,  51.625734,  54.4162  ,  57.206632,  59.99702 ,\n",
        "        62.787352,  65.577607,  68.367756,  71.157752,  73.947515,  76.7369  ,\n",
-       "        79.525607,  82.312913,  85.096527,  87.863799])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.812 5.625 ... 354.4 357.2</div><input id='attrs-76bc8012-9c52-4b55-b5fd-bd8fa6405865' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76bc8012-9c52-4b55-b5fd-bd8fa6405865' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b274fe3b-1804-4392-8ebe-e804dd451dfa' class='xr-var-data-in' type='checkbox'><label for='data-b274fe3b-1804-4392-8ebe-e804dd451dfa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.    ,   2.8125,   5.625 ,   8.4375,  11.25  ,  14.0625,  16.875 ,\n",
+       "        79.525607,  82.312913,  85.096527,  87.863799])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.812 5.625 ... 354.4 357.2</div><input id='attrs-70bd25be-56ee-45be-95e5-512c4bf6c9f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70bd25be-56ee-45be-95e5-512c4bf6c9f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b751eb06-114d-460b-bf97-6fe72e09e0bc' class='xr-var-data-in' type='checkbox'><label for='data-b751eb06-114d-460b-bf97-6fe72e09e0bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.    ,   2.8125,   5.625 ,   8.4375,  11.25  ,  14.0625,  16.875 ,\n",
        "        19.6875,  22.5   ,  25.3125,  28.125 ,  30.9375,  33.75  ,  36.5625,\n",
        "        39.375 ,  42.1875,  45.    ,  47.8125,  50.625 ,  53.4375,  56.25  ,\n",
        "        59.0625,  61.875 ,  64.6875,  67.5   ,  70.3125,  73.125 ,  75.9375,\n",
@@ -1855,11 +1855,11 @@
        "       295.3125, 298.125 , 300.9375, 303.75  , 306.5625, 309.375 , 312.1875,\n",
        "       315.    , 317.8125, 320.625 , 323.4375, 326.25  , 329.0625, 331.875 ,\n",
        "       334.6875, 337.5   , 340.3125, 343.125 , 345.9375, 348.75  , 351.5625,\n",
-       "       354.375 , 357.1875])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9e1e16f1-dafa-4d39-b9db-5acf5ef2f893' class='xr-section-summary-in' type='checkbox' checked /><label for='section-9e1e16f1-dafa-4d39-b9db-5acf5ef2f893' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 31.0 31.0 ... 120.0 120.0 151.0</div><input id='attrs-e1f7ffd3-cfd5-42d8-a936-da460c3384a9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e1f7ffd3-cfd5-42d8-a936-da460c3384a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd053471-7336-48a8-8ee2-0cc7b1ad582b' class='xr-var-data-in' type='checkbox'><label for='data-cd053471-7336-48a8-8ee2-0cc7b1ad582b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  31.],\n",
+       "       354.375 , 357.1875])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-70a4fcce-c543-4055-b384-956b2db248b6' class='xr-section-summary-in' type='checkbox' checked /><label for='section-70a4fcce-c543-4055-b384-956b2db248b6' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 31.0 31.0 ... 120.0 120.0 151.0</div><input id='attrs-f96b0e13-a3bd-4e1d-9c2a-df0103bde3ab' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f96b0e13-a3bd-4e1d-9c2a-df0103bde3ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67b27c3c-8585-43a1-8eb9-e6fd1026e0ee' class='xr-var-data-in' type='checkbox'><label for='data-67b27c3c-8585-43a1-8eb9-e6fd1026e0ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.,  31.],\n",
        "       [ 31.,  59.],\n",
        "       [ 59.,  90.],\n",
        "       [ 90., 120.],\n",
-       "       [120., 151.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lev_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.995 0.995 ... 0.007 0.007 0.0</div><input id='attrs-7d6c6eb0-b911-483b-9cd7-bfa80a2d137d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d6c6eb0-b911-483b-9cd7-bfa80a2d137d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b798a908-5d03-4a20-acea-2e0ace3b5984' class='xr-var-data-in' type='checkbox'><label for='data-b798a908-5d03-4a20-acea-2e0ace3b5984' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a_bnds b: b_bnds ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([[1.        , 0.995     ],\n",
+       "       [120., 151.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lev_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.995 0.995 ... 0.007 0.007 0.0</div><input id='attrs-aa11924b-f4c8-4619-8a21-c01338c2702a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa11924b-f4c8-4619-8a21-c01338c2702a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21b7c1df-a615-4cf2-b099-dc7b4704082f' class='xr-var-data-in' type='checkbox'><label for='data-21b7c1df-a615-4cf2-b099-dc7b4704082f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>formula :</span></dt><dd>p = a*p0 + b*ps</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>formula_terms :</span></dt><dd>p0: p0 a: a_bnds b: b_bnds ps: ps</dd></dl></div><div class='xr-var-data'><pre>array([[1.        , 0.995     ],\n",
        "       [0.995     , 0.98799998],\n",
        "       [0.98799998, 0.97799999],\n",
        "       [0.97799999, 0.96600002],\n",
@@ -1898,21 +1898,21 @@
        "       [0.030384  , 0.022927  ],\n",
        "       [0.022927  , 0.014526  ],\n",
        "       [0.014526  , 0.007     ],\n",
-       "       [0.007     , 0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p0</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05</div><input id='attrs-eb470c76-8ad9-4294-b54d-70d751cca8f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb470c76-8ad9-4294-b54d-70d751cca8f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddd7a512-d8da-41b0-9baf-a81e0b7108a6' class='xr-var-data-in' type='checkbox'><label for='data-ddd7a512-d8da-41b0-9baf-a81e0b7108a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>reference_air_pressure_for_atmosphere_vertical_coordinate</dd><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: reference pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array(100000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.001113 0.003782 ... 0.002905</div><input id='attrs-e8d93fe3-6c13-4d52-8459-3bdcfb41e5da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8d93fe3-6c13-4d52-8459-3bdcfb41e5da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f60e134-e390-4282-8ee0-325db10cc409' class='xr-var-data-in' type='checkbox'><label for='data-7f60e134-e390-4282-8ee0-325db10cc409' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a</dd></dl></div><div class='xr-var-data'><pre>array([0.00111275, 0.00378219, 0.0075645 , 0.01245857, 0.01846599,\n",
+       "       [0.007     , 0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p0</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05</div><input id='attrs-1f8557af-b259-457c-ab2a-d2457bb77eb6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f8557af-b259-457c-ab2a-d2457bb77eb6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71f50c03-bc8e-407a-a82f-38ab335cf8f7' class='xr-var-data-in' type='checkbox'><label for='data-71f50c03-bc8e-407a-a82f-38ab335cf8f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>reference_air_pressure_for_atmosphere_vertical_coordinate</dd><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: reference pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array(100000.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.001113 0.003782 ... 0.002905</div><input id='attrs-e3bcbbf4-26e3-4a07-b327-025a2efb9c3b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3bcbbf4-26e3-4a07-b327-025a2efb9c3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1bfb94f-a19e-401e-8df7-4690a2cc2e98' class='xr-var-data-in' type='checkbox'><label for='data-b1bfb94f-a19e-401e-8df7-4690a2cc2e98' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a</dd></dl></div><div class='xr-var-data'><pre>array([0.00111275, 0.00378219, 0.0075645 , 0.01245857, 0.01846599,\n",
        "       0.0258086 , 0.03448657, 0.04427587, 0.05518012, 0.06719563,\n",
        "       0.08010215, 0.09480408, 0.11264021, 0.13405917, 0.15908005,\n",
        "       0.18977115, 0.22239427, 0.2515278 , 0.27720865, 0.30309604,\n",
        "       0.2877251 , 0.25041144, 0.21794017, 0.18968127, 0.16508035,\n",
        "       0.1436727 , 0.12504333, 0.10882762, 0.09471573, 0.08243426,\n",
        "       0.07174488, 0.06244121, 0.05427773, 0.04693731, 0.04015774,\n",
-       "       0.03361269, 0.02659318, 0.01861324, 0.01060254, 0.00290465])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9964 0.9877 0.9754 ... 0.0 0.0</div><input id='attrs-022c7530-fef9-48e6-b3ea-5f410bfba0aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-022c7530-fef9-48e6-b3ea-5f410bfba0aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5b69d69-d2aa-4679-bdb1-fc2fc791358e' class='xr-var-data-in' type='checkbox'><label for='data-a5b69d69-d2aa-4679-bdb1-fc2fc791358e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b</dd></dl></div><div class='xr-var-data'><pre>array([0.99638653, 0.98771632, 0.97543246, 0.95953703, 0.940027  ,\n",
+       "       0.03361269, 0.02659318, 0.01861324, 0.01060254, 0.00290465])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9964 0.9877 0.9754 ... 0.0 0.0</div><input id='attrs-bbdba623-5ab1-46b5-8134-bda135e59751' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bbdba623-5ab1-46b5-8134-bda135e59751' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a85aa80-4729-43e1-a3ab-a290b804aeee' class='xr-var-data-in' type='checkbox'><label for='data-5a85aa80-4729-43e1-a3ab-a290b804aeee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b</dd></dl></div><div class='xr-var-data'><pre>array([0.99638653, 0.98771632, 0.97543246, 0.95953703, 0.940027  ,\n",
        "       0.91618115, 0.88799924, 0.85620666, 0.82079691, 0.78177685,\n",
        "       0.73986518, 0.6921469 , 0.63428265, 0.56482565, 0.48375323,\n",
        "       0.38470095, 0.27908337, 0.18492202, 0.10264368, 0.02749949,\n",
        "       0.        , 0.        , 0.        , 0.        , 0.        ,\n",
        "       0.        , 0.        , 0.        , 0.        , 0.        ,\n",
        "       0.        , 0.        , 0.        , 0.        , 0.        ,\n",
-       "       0.        , 0.        , 0.        , 0.        , 0.        ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ps</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>6.951e+04 6.928e+04 ... 1.029e+05</div><input id='attrs-6d251ac2-cc9b-4436-a449-e82fa28560cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d251ac2-cc9b-4436-a449-e82fa28560cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88efdfc1-9529-4a33-ac4d-2a1acd9a4db8' class='xr-var-data-in' type='checkbox'><label for='data-88efdfc1-9529-4a33-ac4d-2a1acd9a4db8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>long_name :</span></dt><dd>Surface Air Pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array([[[ 69506.68 ,  69276.34 ,  69050.01 , ...,  70217.68 ,\n",
+       "       0.        , 0.        , 0.        , 0.        , 0.        ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ps</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>6.951e+04 6.928e+04 ... 1.029e+05</div><input id='attrs-6b9f32a3-b7dd-4061-b111-29dbbbd8311b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b9f32a3-b7dd-4061-b111-29dbbbd8311b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7dbf0bce-e485-4109-a23f-7cf422b0ea4a' class='xr-var-data-in' type='checkbox'><label for='data-7dbf0bce-e485-4109-a23f-7cf422b0ea4a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_pressure</dd><dt><span>long_name :</span></dt><dd>Surface Air Pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array([[[ 69506.68 ,  69276.34 ,  69050.01 , ...,  70217.68 ,\n",
        "          69978.55 ,  69741.01 ],\n",
        "        [ 70131.305,  69566.664,  69032.41 , ...,  71992.38 ,\n",
        "          71346.164,  70724.734],\n",
@@ -1952,7 +1952,7 @@
        "        [102613.   , 102698.89 , 102761.94 , ..., 102212.695,\n",
        "         102369.51 , 102503.47 ],\n",
        "        [102897.48 , 102901.41 , 102903.77 , ..., 102873.05 ,\n",
-       "         102883.29 , 102891.95 ]]], shape=(5, 64, 128), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.002224 0.002224 ... 0.007 0.0</div><input id='attrs-1318bc70-6daa-4e8b-8757-745d0dd2d0d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1318bc70-6daa-4e8b-8757-745d0dd2d0d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-553f919c-0b94-4272-89bd-0d2eb8b30f4d' class='xr-var-data-in' type='checkbox'><label for='data-553f919c-0b94-4272-89bd-0d2eb8b30f4d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[0.        , 0.00222387],\n",
+       "         102883.29 , 102891.95 ]]], shape=(5, 64, 128), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.002224 0.002224 ... 0.007 0.0</div><input id='attrs-a75f5d06-377a-4fa8-a662-c5fbcfe542c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a75f5d06-377a-4fa8-a662-c5fbcfe542c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2066e1a-f543-4b59-aebb-1df6564aeb71' class='xr-var-data-in' type='checkbox'><label for='data-b2066e1a-f543-4b59-aebb-1df6564aeb71' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: a(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[0.        , 0.00222387],\n",
        "       [0.00222387, 0.00533729],\n",
        "       [0.00533729, 0.00978502],\n",
        "       [0.00978502, 0.01512229],\n",
@@ -1991,7 +1991,7 @@
        "       [0.030384  , 0.022927  ],\n",
        "       [0.022927  , 0.014526  ],\n",
        "       [0.014526  , 0.007     ],\n",
-       "       [0.007     , 0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.9928 0.9928 ... 0.0 0.0 0.0</div><input id='attrs-9b8e181e-742c-4c0b-bc64-cf6eab114d74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b8e181e-742c-4c0b-bc64-cf6eab114d74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03e81725-fc4f-45df-8075-c5416598b4b3' class='xr-var-data-in' type='checkbox'><label for='data-03e81725-fc4f-45df-8075-c5416598b4b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[1.        , 0.99277616],\n",
+       "       [0.007     , 0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b_bnds</span></div><div class='xr-var-dims'>(lev, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.9928 0.9928 ... 0.0 0.0 0.0</div><input id='attrs-fb6955d8-df99-4d13-aeaf-c40c2a4a08c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb6955d8-df99-4d13-aeaf-c40c2a4a08c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92f79226-07ba-4f77-b5a6-438544727d9b' class='xr-var-data-in' type='checkbox'><label for='data-92f79226-07ba-4f77-b5a6-438544727d9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate formula term: b(k+1/2)</dd></dl></div><div class='xr-var-data'><pre>array([[1.        , 0.99277616],\n",
        "       [0.99277616, 0.98266268],\n",
        "       [0.98266268, 0.96821499],\n",
        "       [0.96821499, 0.95087773],\n",
@@ -2030,7 +2030,7 @@
        "       [0.        , 0.        ],\n",
        "       [0.        , 0.        ],\n",
        "       [0.        , 0.        ],\n",
-       "       [0.        , 0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -86.58 -86.58 ... 86.58 90.0</div><input id='attrs-00660549-4b8a-4aed-a7d6-e29edadf198b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-00660549-4b8a-4aed-a7d6-e29edadf198b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96233f3a-7286-4bc2-b2e2-71d6e22cf565' class='xr-var-data-in' type='checkbox'><label for='data-96233f3a-7286-4bc2-b2e2-71d6e22cf565' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.        , -86.57774751],\n",
+       "       [0.        , 0.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -86.58 -86.58 ... 86.58 90.0</div><input id='attrs-c14cceb6-e0bc-4358-b409-bc1376d241b8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c14cceb6-e0bc-4358-b409-bc1376d241b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d29f1d98-29b4-48b0-a27c-223ea6fbb031' class='xr-var-data-in' type='checkbox'><label for='data-d29f1d98-29b4-48b0-a27c-223ea6fbb031' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.        , -86.57774751],\n",
        "       [-86.57774751, -83.75702878],\n",
        "       [-83.75702878, -80.95502019],\n",
        "       [-80.95502019, -78.15834785],\n",
@@ -2070,7 +2070,7 @@
        "       [ 78.15834785,  80.95502019],\n",
        "       [ 80.95502019,  83.75702878],\n",
        "       [ 83.75702878,  86.57774751],\n",
-       "       [ 86.57774751,  90.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.406 1.406 1.406 ... 355.8 358.6</div><input id='attrs-c3536147-7520-4295-815b-907ced4f8aca' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c3536147-7520-4295-815b-907ced4f8aca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3ed266b-327a-4844-9f6e-fe4ddf07e29b' class='xr-var-data-in' type='checkbox'><label for='data-c3ed266b-327a-4844-9f6e-fe4ddf07e29b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -1.40625,   1.40625],\n",
+       "       [ 86.57774751,  90.        ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.406 1.406 1.406 ... 355.8 358.6</div><input id='attrs-fb168bda-c314-4831-a4bf-ffa6ad4f53de' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fb168bda-c314-4831-a4bf-ffa6ad4f53de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04c786e2-d183-4d56-95a2-ce66e4aa9ff7' class='xr-var-data-in' type='checkbox'><label for='data-04c786e2-d183-4d56-95a2-ce66e4aa9ff7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -1.40625,   1.40625],\n",
        "       [  1.40625,   4.21875],\n",
        "       [  4.21875,   7.03125],\n",
        "       [  7.03125,   9.84375],\n",
@@ -2110,7 +2110,7 @@
        "       [347.34375, 350.15625],\n",
        "       [350.15625, 352.96875],\n",
        "       [352.96875, 355.78125],\n",
-       "       [355.78125, 358.59375]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tnhusscpbl</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-df8349ac-5031-40b4-ab0a-e2acfa0e2624' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df8349ac-5031-40b4-ab0a-e2acfa0e2624' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3dae215a-9a17-4cda-8e26-68f83bbefef6' class='xr-var-data-in' type='checkbox'><label for='data-3dae215a-9a17-4cda-8e26-68f83bbefef6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>tendency_of_specific_humidity_due_to_stratiform_cloud_and_precipitation_and_boundary_layer_mixing</dd><dt><span>long_name :</span></dt><dd>Tendency of Specific Humidity Due to Stratiform Cloud and Precipitation and Boundary Layer Mixing</dd><dt><span>units :</span></dt><dd>s-1</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
+       "       [355.78125, 358.59375]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tnhusscpbl</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-d5bffdf2-e4e3-4913-98a5-b5854ca843a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5bffdf2-e4e3-4913-98a5-b5854ca843a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd43ea62-7b36-4862-849a-dc495346cd9c' class='xr-var-data-in' type='checkbox'><label for='data-cd43ea62-7b36-4862-849a-dc495346cd9c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>tendency_of_specific_humidity_due_to_stratiform_cloud_and_precipitation_and_boundary_layer_mixing</dd><dt><span>long_name :</span></dt><dd>Tendency of Specific Humidity Due to Stratiform Cloud and Precipitation and Boundary Layer Mixing</dd><dt><span>units :</span></dt><dd>s-1</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
        "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
        "         [ 0.00000000e+00,  0.00000000e+00,  1.90706153e-12, ...,\n",
        "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
@@ -2150,7 +2150,7 @@
        "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
        "         [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
        "           0.00000000e+00,  0.00000000e+00,  0.00000000e+00]]]],\n",
-       "      shape=(5, 40, 64, 128), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3c9185fe-9a04-4aa3-9ce8-e20a54bdc8dc' class='xr-section-summary-in' type='checkbox' checked /><label for='section-3c9185fe-9a04-4aa3-9ce8-e20a54bdc8dc' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>tnhusscpbl_tavg-al-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-al-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-31T18:59:23Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-31T18:59:23Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>variable_id :</span></dt><dd>tnhusscpbl</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>al</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/132c5b50-411b-4c9e-b6da-e70a5cc40e73</dd></dl></div></li></ul></div></div>"
+       "      shape=(5, 40, 64, 128), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a87a69fe-20e9-42ed-b613-b43203b8b8d1' class='xr-section-summary-in' type='checkbox' checked /><label for='section-a87a69fe-20e9-42ed-b613-b43203b8b8d1' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>tnhusscpbl_tavg-al-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-al-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-06-05T21:59:30Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-06-05T21:59:30Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_atmos.json; Creation Date:(2026-04-21 15:01:29) MD5:6c425d5354e32ec5498084c927c982a9</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>variable_id :</span></dt><dd>tnhusscpbl</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>al</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/0706140a-0c18-498b-a18a-b6dc2d5082cd</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 7MB\n",
@@ -2179,7 +2179,7 @@
        "    area_label:            u\n",
        "    branded_variable:      tnhusscpbl_tavg-al-hxy-u\n",
        "    branding_suffix:       tavg-al-hxy-u\n",
-       "    creation_date:         2026-05-31T18:59:23Z\n",
+       "    creation_date:         2026-06-05T21:59:30Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -2189,7 +2189,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-31T18:59:23Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-06-05T21:59:30Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -2213,7 +2213,7 @@
        "    vertical_label:        al\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
        "    cmor_version:          3.15.1\n",
-       "    tracking_id:           hdl:21.14107/132c5b50-411b-4c9e-b6da-e70a5cc40e73"
+       "    tracking_id:           hdl:21.14107/0706140a-0c18-498b-a18a-b6dc2d5082cd"
       ]
      },
      "metadata": {},
@@ -2279,25 +2279,7 @@
    ]
   }
  ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.13.7"
-  }
- },
+ "metadata": {},
  "nbformat": 4,
  "nbformat_minor": 4
 }
diff --git a/notebooks/05_ocean_heat_transport_by_basin.ipynb b/notebooks/05_ocean_heat_transport_by_basin.ipynb
index 0e951b00..4fe055e3 100644
--- a/notebooks/05_ocean_heat_transport_by_basin.ipynb
+++ b/notebooks/05_ocean_heat_transport_by_basin.ipynb
@@ -669,9 +669,9 @@
        "    variable_name:          htovgyre\n",
        "    variant_label:          r2i1p1f2\n",
        "    license:                CMIP6 model data produced by the Met Office Hadle...\n",
-       "    cmor_version:           3.4.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3f17e241-91d3-4fcc-95d7-43ccfb9d9db9' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-3f17e241-91d3-4fcc-95d7-43ccfb9d9db9' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 420</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 330</li><li><span>basin</span>: 3</li></ul></div></li><li class='xr-section-item'><input id='section-3b623170-fda7-439c-aceb-d90d37f9d0df' class='xr-section-summary-in' type='checkbox' checked /><label for='section-3b623170-fda7-439c-aceb-d90d37f9d0df' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.942e+04 5.944e+04 ... 7.198e+04</div><input id='attrs-4d05b193-33d8-4be7-9b6c-114b2b8002f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d05b193-33d8-4be7-9b6c-114b2b8002f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26d7f839-430b-4c32-986b-f9a96ef22519' class='xr-var-data-in' type='checkbox'><label for='data-26d7f839-430b-4c32-986b-f9a96ef22519' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([59415., 59445., 59475., ..., 71925., 71955., 71985.], shape=(420,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.35 -85.19 ... 81.77 81.79</div><input id='attrs-ca069a29-3cc3-4044-ad06-c4c728496ca5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca069a29-3cc3-4044-ad06-c4c728496ca5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f071094-802f-4af4-b516-99547d53b1e5' class='xr-var-data-in' type='checkbox'><label for='data-6f071094-802f-4af4-b516-99547d53b1e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85.345169, -85.193054, -85.039757, ...,  81.732368,  81.771011,\n",
-       "        81.789879], shape=(330,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sector</span></div><div class='xr-var-dims'>(basin)</div><div class='xr-var-dtype'>|S21</div><div class='xr-var-preview xr-preview'>b&#x27;atlantic_arctic_ocean&#x27; ... b&#x27;i...</div><input id='attrs-fe4a236c-7cb6-44cf-9860-451fc761ebda' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe4a236c-7cb6-44cf-9860-451fc761ebda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5666a8a8-ff73-439b-a9cf-d627ce013fd1' class='xr-var-data-in' type='checkbox'><label for='data-5666a8a8-ff73-439b-a9cf-d627ce013fd1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ocean basin</dd><dt><span>standard_name :</span></dt><dd>region</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;atlantic_arctic_ocean&#x27;, b&#x27;global_ocean&#x27;, b&#x27;indian_pacific_ocean&#x27;],\n",
-       "      dtype=&#x27;|S21&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-286da27e-d3ad-4d70-83f1-fa6ff78e16d5' class='xr-section-summary-in' type='checkbox' checked /><label for='section-286da27e-d3ad-4d70-83f1-fa6ff78e16d5' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.94e+04 5.943e+04 ... 7.2e+04</div><input id='attrs-0735d60d-aa07-4c65-8720-a9526f67b88d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0735d60d-aa07-4c65-8720-a9526f67b88d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ac6208d-456b-4e57-a2a9-faccceeb65ca' class='xr-var-data-in' type='checkbox'><label for='data-0ac6208d-456b-4e57-a2a9-faccceeb65ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[59400., 59430.],\n",
+       "    cmor_version:           3.4.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-040300f5-67bc-4b47-a294-2c19c9f53e82' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-040300f5-67bc-4b47-a294-2c19c9f53e82' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 420</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 330</li><li><span>basin</span>: 3</li></ul></div></li><li class='xr-section-item'><input id='section-e9819c11-c530-4627-8f61-913a686fd258' class='xr-section-summary-in' type='checkbox' checked /><label for='section-e9819c11-c530-4627-8f61-913a686fd258' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.942e+04 5.944e+04 ... 7.198e+04</div><input id='attrs-c52184dc-5f21-4f0c-86c7-02bae3433b80' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c52184dc-5f21-4f0c-86c7-02bae3433b80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ccdc2c5-d711-4aa8-95ac-c5f4e0aea4d5' class='xr-var-data-in' type='checkbox'><label for='data-5ccdc2c5-d711-4aa8-95ac-c5f4e0aea4d5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([59415., 59445., 59475., ..., 71925., 71955., 71985.], shape=(420,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.35 -85.19 ... 81.77 81.79</div><input id='attrs-3056fad9-5739-41b9-9392-abeead811f15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3056fad9-5739-41b9-9392-abeead811f15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e3fac39-294e-42db-9945-cf0bc8a37d2e' class='xr-var-data-in' type='checkbox'><label for='data-2e3fac39-294e-42db-9945-cf0bc8a37d2e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85.345169, -85.193054, -85.039757, ...,  81.732368,  81.771011,\n",
+       "        81.789879], shape=(330,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sector</span></div><div class='xr-var-dims'>(basin)</div><div class='xr-var-dtype'>|S21</div><div class='xr-var-preview xr-preview'>b&#x27;atlantic_arctic_ocean&#x27; ... b&#x27;i...</div><input id='attrs-49afe743-9ee5-43f7-a2e8-2fa1a0d3b7d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49afe743-9ee5-43f7-a2e8-2fa1a0d3b7d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e15cc42-f1fb-4ddd-a1e9-807cae1ac0c3' class='xr-var-data-in' type='checkbox'><label for='data-7e15cc42-f1fb-4ddd-a1e9-807cae1ac0c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ocean basin</dd><dt><span>standard_name :</span></dt><dd>region</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;atlantic_arctic_ocean&#x27;, b&#x27;global_ocean&#x27;, b&#x27;indian_pacific_ocean&#x27;],\n",
+       "      dtype=&#x27;|S21&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e06e76ef-26c2-4221-83bb-cc835a569057' class='xr-section-summary-in' type='checkbox' checked /><label for='section-e06e76ef-26c2-4221-83bb-cc835a569057' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.94e+04 5.943e+04 ... 7.2e+04</div><input id='attrs-222dd609-87c1-4a37-9f39-fb21a1d6a637' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-222dd609-87c1-4a37-9f39-fb21a1d6a637' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7dcd494f-6b9e-46aa-a952-870be9f83bc3' class='xr-var-data-in' type='checkbox'><label for='data-7dcd494f-6b9e-46aa-a952-870be9f83bc3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[59400., 59430.],\n",
        "       [59430., 59460.],\n",
        "       [59460., 59490.],\n",
        "       [59490., 59520.],\n",
@@ -711,7 +711,7 @@
        "       [71880., 71910.],\n",
        "       [71910., 71940.],\n",
        "       [71940., 71970.],\n",
-       "       [71970., 72000.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.42 -85.27 -85.27 ... 81.78 81.8</div><input id='attrs-c6a0d14b-7cd6-417a-b9d8-e892e693b224' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c6a0d14b-7cd6-417a-b9d8-e892e693b224' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be2d536f-3673-4840-8e9b-20dded2930c9' class='xr-var-data-in' type='checkbox'><label for='data-be2d536f-3673-4840-8e9b-20dded2930c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-85.4212265 , -85.26911163],\n",
+       "       [71970., 72000.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.42 -85.27 -85.27 ... 81.78 81.8</div><input id='attrs-a694d731-d6d6-478a-b53e-829a7e6bd528' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a694d731-d6d6-478a-b53e-829a7e6bd528' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b941746-e24d-4a62-9b84-0cebfabfb148' class='xr-var-data-in' type='checkbox'><label for='data-0b941746-e24d-4a62-9b84-0cebfabfb148' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-85.4212265 , -85.26911163],\n",
        "       [-85.26911163, -85.1164093 ],\n",
        "       [-85.1164093 , -84.96253967],\n",
        "       [-84.96253967, -84.80754089],\n",
@@ -751,7 +751,7 @@
        "       [ 81.63292694,  81.70275116],\n",
        "       [ 81.70275116,  81.75169373],\n",
        "       [ 81.75169373,  81.78044128],\n",
-       "       [ 81.78044128,  81.79931641]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>htovgyre</span></div><div class='xr-var-dims'>(time, basin, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-b14c2fd5-739e-4da4-ade9-e9e931abb866' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b14c2fd5-739e-4da4-ade9-e9e931abb866' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4544801c-1314-454b-8cc7-8b7fbb97fd6c' class='xr-var-data-in' type='checkbox'><label for='data-4544801c-1314-454b-8cc7-8b7fbb97fd6c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>northward_ocean_heat_transport_due_to_gyre</dd><dt><span>long_name :</span></dt><dd>Northward Ocean Heat Transport Due to Gyre</dd><dt><span>comment :</span></dt><dd>mo: The latitude coordinate is for reference only and is the closest native grid line passing through 65.6 N, 168.7 W (Bering Strait). The atlantic_arctic_ocean basin includes the baltic_sea and hudson_bay basins and the right-hand half of the arctic_ocean basin (with respect to the native model grid). The indian_pacific_ocean basin includes the red_sea basin. This diagnostic has been calculated with respect to the native grid and NOT with respect to true north as requested., AerChemMIP_table_comment: From all advective mass transport processes, resolved and parameterized.</dd><dt><span>units :</span></dt><dd>W</dd><dt><span>original_name :</span></dt><dd>mo: combine_cubes_to_basin_coord((variable_name: hfovgyre_global), (variable_name: hfovgyre_atlantic), (variable_name: hfovgyre_indopacific), mask_global=(variable_name: global_ocean_1D_V), mask_atl=(variable_name: atlantic_arctic_ocean_1D_V), mask_indpac=(variable_name: indian_pacific_ocean_1D_V))</dd><dt><span>original_units :</span></dt><dd>PW</dd><dt><span>history :</span></dt><dd>2020-08-21T14:28:52Z altered by CMOR: Converted units from &#x27;PW&#x27; to &#x27;W&#x27;. 2020-08-21T14:28:52Z altered by CMOR: Reordered dimensions, original order: basin time lat.</dd><dt><span>cell_methods :</span></dt><dd>longitude: sum (comment: basin sum [along zig-zag grid path]) depth: sum time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[[           nan,            nan,            nan, ...,\n",
+       "       [ 81.78044128,  81.79931641]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>htovgyre</span></div><div class='xr-var-dims'>(time, basin, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-1e87a728-8c9d-4146-88e0-f9cf6b096d6a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e87a728-8c9d-4146-88e0-f9cf6b096d6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99857f72-7786-43ea-84dc-da408250693d' class='xr-var-data-in' type='checkbox'><label for='data-99857f72-7786-43ea-84dc-da408250693d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>northward_ocean_heat_transport_due_to_gyre</dd><dt><span>long_name :</span></dt><dd>Northward Ocean Heat Transport Due to Gyre</dd><dt><span>comment :</span></dt><dd>mo: The latitude coordinate is for reference only and is the closest native grid line passing through 65.6 N, 168.7 W (Bering Strait). The atlantic_arctic_ocean basin includes the baltic_sea and hudson_bay basins and the right-hand half of the arctic_ocean basin (with respect to the native model grid). The indian_pacific_ocean basin includes the red_sea basin. This diagnostic has been calculated with respect to the native grid and NOT with respect to true north as requested., AerChemMIP_table_comment: From all advective mass transport processes, resolved and parameterized.</dd><dt><span>units :</span></dt><dd>W</dd><dt><span>original_name :</span></dt><dd>mo: combine_cubes_to_basin_coord((variable_name: hfovgyre_global), (variable_name: hfovgyre_atlantic), (variable_name: hfovgyre_indopacific), mask_global=(variable_name: global_ocean_1D_V), mask_atl=(variable_name: atlantic_arctic_ocean_1D_V), mask_indpac=(variable_name: indian_pacific_ocean_1D_V))</dd><dt><span>original_units :</span></dt><dd>PW</dd><dt><span>history :</span></dt><dd>2020-08-21T14:28:52Z altered by CMOR: Converted units from &#x27;PW&#x27; to &#x27;W&#x27;. 2020-08-21T14:28:52Z altered by CMOR: Reordered dimensions, original order: basin time lat.</dd><dt><span>cell_methods :</span></dt><dd>longitude: sum (comment: basin sum [along zig-zag grid path]) depth: sum time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[[           nan,            nan,            nan, ...,\n",
        "          5.9394045e+12,  5.0293663e+12,            nan],\n",
        "        [           nan,            nan,            nan, ...,\n",
        "          5.1184492e+12,  4.1131914e+12,  1.5370929e-04],\n",
@@ -791,7 +791,7 @@
        "          2.2134275e+13,  1.4477528e+13, -9.6522277e-04],\n",
        "        [           nan,            nan,            nan, ...,\n",
        "                    nan,            nan,            nan]]],\n",
-       "      shape=(420, 3, 330), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f8ddf5c2-a2ce-423a-a94b-1682280e5873' class='xr-section-summary-in' type='checkbox' checked /><label for='section-f8ddf5c2-a2ce-423a-a94b-1682280e5873' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(46)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>AerChemMIP</dd><dt><span>branch_method :</span></dt><dd>standard</dd><dt><span>branch_time_in_child :</span></dt><dd>59400.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>59400.0</dd><dt><span>creation_date :</span></dt><dd>2020-08-21T14:28:52Z</dd><dt><span>cv_version :</span></dt><dd>6.2.53.5</dd><dt><span>data_specs_version :</span></dt><dd>01.00.31</dd><dt><span>experiment :</span></dt><dd>SSP3-7.0, with low NTCF emissions and methane concentrations</dd><dt><span>experiment_id :</span></dt><dd>ssp370-lowNTCFCH4</dd><dt><span>forcing_index :</span></dt><dd>2</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.MOHC.UKESM1-0-LL.ssp370-lowNTCFCH4.none.r2i1p1f2</dd><dt><span>grid :</span></dt><dd>Native eORCA1 tripolar primarily 1 deg with meridional refinement down to 1/3 degree in the tropics; Quasi-zonal mean, 330 latitude</dd><dt><span>grid_label :</span></dt><dd>gnz</dd><dt><span>history :</span></dt><dd>2020-08-21T14:24:56Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.;\n",
+       "      shape=(420, 3, 330), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3ede1fad-915f-49b9-ae15-3cdc9bc01413' class='xr-section-summary-in' type='checkbox' checked /><label for='section-3ede1fad-915f-49b9-ae15-3cdc9bc01413' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(46)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>AerChemMIP</dd><dt><span>branch_method :</span></dt><dd>standard</dd><dt><span>branch_time_in_child :</span></dt><dd>59400.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>59400.0</dd><dt><span>creation_date :</span></dt><dd>2020-08-21T14:28:52Z</dd><dt><span>cv_version :</span></dt><dd>6.2.53.5</dd><dt><span>data_specs_version :</span></dt><dd>01.00.31</dd><dt><span>experiment :</span></dt><dd>SSP3-7.0, with low NTCF emissions and methane concentrations</dd><dt><span>experiment_id :</span></dt><dd>ssp370-lowNTCFCH4</dd><dt><span>forcing_index :</span></dt><dd>2</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.MOHC.UKESM1-0-LL.ssp370-lowNTCFCH4.none.r2i1p1f2</dd><dt><span>grid :</span></dt><dd>Native eORCA1 tripolar primarily 1 deg with meridional refinement down to 1/3 degree in the tropics; Quasi-zonal mean, 330 latitude</dd><dt><span>grid_label :</span></dt><dd>gnz</dd><dt><span>history :</span></dt><dd>2020-08-21T14:24:56Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.;\n",
        "2020-08-21T14:23:56Z MIP Convert v1.5.0, Python v2.7.16, Iris v2.2.0, Numpy v1.15.4, cftime v1.0.0b1.</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, EX1 3PB, UK</dd><dt><span>institution_id :</span></dt><dd>MOHC</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>mo_runid :</span></dt><dd>u-bu258</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>parent_activity_id :</span></dt><dd>CMIP</dd><dt><span>parent_experiment_id :</span></dt><dd>historical</dd><dt><span>parent_mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_source_id :</span></dt><dd>UKESM1-0-LL</dd><dt><span>parent_time_units :</span></dt><dd>days since 1850-01-01</dd><dt><span>parent_variant_label :</span></dt><dd>r4i1p1f2</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>2</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>source :</span></dt><dd>UKESM1.0-LL (2018): \n",
        "aerosol: UKCA-GLOMAP-mode\n",
        "atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km)\n",
@@ -949,7 +949,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "output/05_ocean_heat_transport_by_basin/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/htovgyre/tavg-u-hyb-sea/g999/v20260531/htovgyre_tavg-u-hyb-sea_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201501-204912.nc\n"
+      "output/05_ocean_heat_transport_by_basin/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/htovgyre/tavg-u-hyb-sea/g999/v20260605/htovgyre_tavg-u-hyb-sea_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_201501-204912.nc\n"
      ]
     }
    ],
@@ -1556,7 +1556,7 @@
        "    area_label:            sea\n",
        "    branded_variable:      htovgyre_tavg-u-hyb-sea\n",
        "    branding_suffix:       tavg-u-hyb-sea\n",
-       "    creation_date:         2026-05-31T18:59:25Z\n",
+       "    creation_date:         2026-06-05T21:59:34Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -1565,7 +1565,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-31T18:59:25Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-06-05T21:59:34Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hyb\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1584,14 +1584,14 @@
        "    table_info:            Name: CMIP7_ocean.json; Creation Date:(2026-04-21 ...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/41f234e7-b654-4df4-b6c3-b786c3dcb125\n",
+       "    tracking_id:           hdl:21.14107/c17c567e-bdad-4306-b790-12e7c390d9ad\n",
        "    variable_id:           htovgyre\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e77cdb44-ff2c-42ac-99c7-14a14963616b' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-e77cdb44-ff2c-42ac-99c7-14a14963616b' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 420</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 330</li><li><span>basin</span>: 3</li></ul></div></li><li class='xr-section-item'><input id='section-1ecb974a-67f5-438b-a1d1-6ef762e0e436' class='xr-section-summary-in' type='checkbox' checked /><label for='section-1ecb974a-67f5-438b-a1d1-6ef762e0e436' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.942e+04 5.944e+04 ... 7.198e+04</div><input id='attrs-edf558a9-48bd-48a0-8a04-d96672021d13' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-edf558a9-48bd-48a0-8a04-d96672021d13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b30cec20-d089-46f7-acf2-edfac3a230ba' class='xr-var-data-in' type='checkbox'><label for='data-b30cec20-d089-46f7-acf2-edfac3a230ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([59415., 59445., 59475., ..., 71925., 71955., 71985.], shape=(420,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.35 -85.19 ... 81.77 81.79</div><input id='attrs-ecedfde4-bed3-4e19-9f22-2ccaeaeee125' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ecedfde4-bed3-4e19-9f22-2ccaeaeee125' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2cf94748-5d8d-4643-a83a-174683874b21' class='xr-var-data-in' type='checkbox'><label for='data-2cf94748-5d8d-4643-a83a-174683874b21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85.345169, -85.193054, -85.039757, ...,  81.732368,  81.771011,\n",
-       "        81.789879], shape=(330,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sector</span></div><div class='xr-var-dims'>(basin)</div><div class='xr-var-dtype'>|S21</div><div class='xr-var-preview xr-preview'>b&#x27;atlantic_arctic_ocean&#x27; ... b&#x27;i...</div><input id='attrs-6acd80d7-25cc-4617-90aa-4ca5662c6d75' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6acd80d7-25cc-4617-90aa-4ca5662c6d75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7986ad26-4fde-4255-a6c5-0f84be63c157' class='xr-var-data-in' type='checkbox'><label for='data-7986ad26-4fde-4255-a6c5-0f84be63c157' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ocean Basin</dd><dt><span>standard_name :</span></dt><dd>region</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;atlantic_arctic_ocean&#x27;, b&#x27;global_ocean&#x27;, b&#x27;indian_pacific_ocean&#x27;],\n",
-       "      dtype=&#x27;|S21&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b697de59-5df4-480f-bf25-cc87c0421205' class='xr-section-summary-in' type='checkbox' checked /><label for='section-b697de59-5df4-480f-bf25-cc87c0421205' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.94e+04 5.943e+04 ... 7.2e+04</div><input id='attrs-038fd922-37cd-4273-b4b0-b1268d086e26' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-038fd922-37cd-4273-b4b0-b1268d086e26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a889f3d-f3bf-46c7-a6a1-f6a946766ba7' class='xr-var-data-in' type='checkbox'><label for='data-5a889f3d-f3bf-46c7-a6a1-f6a946766ba7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[59400., 59430.],\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0da1e3c8-5443-4152-b175-5ae2e7845946' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-0da1e3c8-5443-4152-b175-5ae2e7845946' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 420</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 330</li><li><span>basin</span>: 3</li></ul></div></li><li class='xr-section-item'><input id='section-732d0ddc-ed80-48b2-b943-39b58f06bdaa' class='xr-section-summary-in' type='checkbox' checked /><label for='section-732d0ddc-ed80-48b2-b943-39b58f06bdaa' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.942e+04 5.944e+04 ... 7.198e+04</div><input id='attrs-260ff128-0bb1-4e5b-a63d-cc3f8e7b6616' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-260ff128-0bb1-4e5b-a63d-cc3f8e7b6616' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59302b6a-0425-4b14-820d-fe1312f1711c' class='xr-var-data-in' type='checkbox'><label for='data-59302b6a-0425-4b14-820d-fe1312f1711c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1850-01-01</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([59415., 59445., 59475., ..., 71925., 71955., 71985.], shape=(420,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.35 -85.19 ... 81.77 81.79</div><input id='attrs-5dde66bd-296d-4d80-8f95-1989a0e1bb57' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5dde66bd-296d-4d80-8f95-1989a0e1bb57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4faf192-90f5-49dd-8bcc-ae8058fe8790' class='xr-var-data-in' type='checkbox'><label for='data-e4faf192-90f5-49dd-8bcc-ae8058fe8790' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-85.345169, -85.193054, -85.039757, ...,  81.732368,  81.771011,\n",
+       "        81.789879], shape=(330,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sector</span></div><div class='xr-var-dims'>(basin)</div><div class='xr-var-dtype'>|S21</div><div class='xr-var-preview xr-preview'>b&#x27;atlantic_arctic_ocean&#x27; ... b&#x27;i...</div><input id='attrs-214c2a6d-09b0-45dc-a8d3-ac43a3a61638' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-214c2a6d-09b0-45dc-a8d3-ac43a3a61638' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46513de3-cf07-4298-aee1-7168c6af07ac' class='xr-var-data-in' type='checkbox'><label for='data-46513de3-cf07-4298-aee1-7168c6af07ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ocean Basin</dd><dt><span>standard_name :</span></dt><dd>region</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;atlantic_arctic_ocean&#x27;, b&#x27;global_ocean&#x27;, b&#x27;indian_pacific_ocean&#x27;],\n",
+       "      dtype=&#x27;|S21&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8bd0ec13-e520-4714-9908-4beb85ddd510' class='xr-section-summary-in' type='checkbox' checked /><label for='section-8bd0ec13-e520-4714-9908-4beb85ddd510' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.94e+04 5.943e+04 ... 7.2e+04</div><input id='attrs-16ca6073-15ee-4c58-a414-f1d007cac7d8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-16ca6073-15ee-4c58-a414-f1d007cac7d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0098504c-2765-45b5-ac37-eeeb86ed9426' class='xr-var-data-in' type='checkbox'><label for='data-0098504c-2765-45b5-ac37-eeeb86ed9426' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[59400., 59430.],\n",
        "       [59430., 59460.],\n",
        "       [59460., 59490.],\n",
        "       [59490., 59520.],\n",
@@ -1631,7 +1631,7 @@
        "       [71880., 71910.],\n",
        "       [71910., 71940.],\n",
        "       [71940., 71970.],\n",
-       "       [71970., 72000.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.42 -85.27 -85.27 ... 81.78 81.8</div><input id='attrs-55227947-9227-4768-9248-8d20217c9014' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-55227947-9227-4768-9248-8d20217c9014' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c260a7ac-a5e2-4007-aed8-6bdaee37387c' class='xr-var-data-in' type='checkbox'><label for='data-c260a7ac-a5e2-4007-aed8-6bdaee37387c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-85.4212265 , -85.26911163],\n",
+       "       [71970., 72000.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.42 -85.27 -85.27 ... 81.78 81.8</div><input id='attrs-ece5776e-2423-43da-8656-fdf3fe9f6372' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ece5776e-2423-43da-8656-fdf3fe9f6372' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a9c0d18-7415-41b0-ad0f-b2df835dde33' class='xr-var-data-in' type='checkbox'><label for='data-2a9c0d18-7415-41b0-ad0f-b2df835dde33' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-85.4212265 , -85.26911163],\n",
        "       [-85.26911163, -85.1164093 ],\n",
        "       [-85.1164093 , -84.96253967],\n",
        "       [-84.96253967, -84.80754089],\n",
@@ -1671,7 +1671,7 @@
        "       [ 81.63292694,  81.70275116],\n",
        "       [ 81.70275116,  81.75169373],\n",
        "       [ 81.75169373,  81.78044128],\n",
-       "       [ 81.78044128,  81.79931641]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>htovgyre</span></div><div class='xr-var-dims'>(time, basin, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-d957adeb-f4f4-4d3f-9e63-4c9473d127b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d957adeb-f4f4-4d3f-9e63-4c9473d127b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14ad1967-e65c-457a-9ec9-0454bffd78e5' class='xr-var-data-in' type='checkbox'><label for='data-14ad1967-e65c-457a-9ec9-0454bffd78e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>northward_ocean_heat_transport_due_to_gyre</dd><dt><span>long_name :</span></dt><dd>Northward Ocean Heat Transport Due to Gyre</dd><dt><span>units :</span></dt><dd>W</dd><dt><span>cell_methods :</span></dt><dd>depth: longitude: sum where sea (along a zig-zag grid path spanning a basin)  time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[[           nan,            nan,            nan, ...,\n",
+       "       [ 81.78044128,  81.79931641]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>htovgyre</span></div><div class='xr-var-dims'>(time, basin, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-6a4a6f79-077a-4055-a240-fe5514fd9d30' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a4a6f79-077a-4055-a240-fe5514fd9d30' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59ca000e-8c11-4dd1-91c6-aa01780994b4' class='xr-var-data-in' type='checkbox'><label for='data-59ca000e-8c11-4dd1-91c6-aa01780994b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>northward_ocean_heat_transport_due_to_gyre</dd><dt><span>long_name :</span></dt><dd>Northward Ocean Heat Transport Due to Gyre</dd><dt><span>units :</span></dt><dd>W</dd><dt><span>cell_methods :</span></dt><dd>depth: longitude: sum where sea (along a zig-zag grid path spanning a basin)  time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[[           nan,            nan,            nan, ...,\n",
        "          5.9394045e+12,  5.0293663e+12,            nan],\n",
        "        [           nan,            nan,            nan, ...,\n",
        "          5.1184492e+12,  4.1131914e+12,  1.5370929e-04],\n",
@@ -1711,7 +1711,7 @@
        "          2.2134275e+13,  1.4477528e+13, -9.6522277e-04],\n",
        "        [           nan,            nan,            nan, ...,\n",
        "                    nan,            nan,            nan]]],\n",
-       "      shape=(420, 3, 330), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7ceb2305-bfae-4c8f-b82a-837e0886b778' class='xr-section-summary-in' type='checkbox' checked /><label for='section-7ceb2305-bfae-4c8f-b82a-837e0886b778' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(39)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>htovgyre_tavg-u-hyb-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hyb-sea</dd><dt><span>creation_date :</span></dt><dd>2026-05-31T18:59:25Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-31T18:59:25Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hyb</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/41f234e7-b654-4df4-b6c3-b786c3dcb125</dd><dt><span>variable_id :</span></dt><dd>htovgyre</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+       "      shape=(420, 3, 330), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8fab9a14-76a2-446d-8d52-229ba04e00b4' class='xr-section-summary-in' type='checkbox' checked /><label for='section-8fab9a14-76a2-446d-8d52-229ba04e00b4' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(39)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>sea</dd><dt><span>branded_variable :</span></dt><dd>htovgyre_tavg-u-hyb-sea</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hyb-sea</dd><dt><span>creation_date :</span></dt><dd>2026-06-05T21:59:34Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-06-05T21:59:34Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hyb</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_ocean.json; Creation Date:(2026-04-21 15:01:29) MD5:a66e0fc7ab41aafa94f1ba3223e0c9fe</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/c17c567e-bdad-4306-b790-12e7c390d9ad</dd><dt><span>variable_id :</span></dt><dd>htovgyre</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 2MB\n",
@@ -1731,7 +1731,7 @@
        "    area_label:            sea\n",
        "    branded_variable:      htovgyre_tavg-u-hyb-sea\n",
        "    branding_suffix:       tavg-u-hyb-sea\n",
-       "    creation_date:         2026-05-31T18:59:25Z\n",
+       "    creation_date:         2026-06-05T21:59:34Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -1740,7 +1740,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-31T18:59:25Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-06-05T21:59:34Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hyb\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1759,7 +1759,7 @@
        "    table_info:            Name: CMIP7_ocean.json; Creation Date:(2026-04-21 ...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/41f234e7-b654-4df4-b6c3-b786c3dcb125\n",
+       "    tracking_id:           hdl:21.14107/c17c567e-bdad-4306-b790-12e7c390d9ad\n",
        "    variable_id:           htovgyre\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
@@ -1818,25 +1818,7 @@
    ]
   }
  ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.13.7"
-  }
- },
+ "metadata": {},
  "nbformat": 4,
  "nbformat_minor": 4
 }
diff --git a/notebooks/06_land_use_fraction.ipynb b/notebooks/06_land_use_fraction.ipynb
index cc5aa32c..1af41051 100644
--- a/notebooks/06_land_use_fraction.ipynb
+++ b/notebooks/06_land_use_fraction.ipynb
@@ -674,8 +674,8 @@
        "    variable_id:           fracLut\n",
        "    variant_info:          N/A\n",
        "    references:            see further_info_url attribute\n",
-       "    variant_label:         r1i1p1f1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1b9ebaea-6b14-4028-a5b8-5b34c30cef1e' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-1b9ebaea-6b14-4028-a5b8-5b34c30cef1e' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span class='xr-has-index'>landuse</span>: 4</li><li><span class='xr-has-index'>lat</span>: 180</li><li><span class='xr-has-index'>lon</span>: 288</li><li><span class='xr-has-index'>bnds</span>: 2</li></ul></div></li><li class='xr-section-item'><input id='section-05b5d9bf-d5ee-40e9-a5c4-81349035c459' class='xr-section-summary-in' type='checkbox' checked /><label for='section-05b5d9bf-d5ee-40e9-a5c4-81349035c459' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.122e+05 1.122e+05 ... 1.125e+05</div><input id='attrs-15421eae-a9be-4b44-9d45-c1a912a30825' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15421eae-a9be-4b44-9d45-c1a912a30825' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ea246e8-9cf5-447b-aa8e-e5f3e7b6570a' class='xr-var-data-in' type='checkbox'><label for='data-2ea246e8-9cf5-447b-aa8e-e5f3e7b6570a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>units :</span></dt><dd>days since 1700-01-01 00:00:00</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>calendar_type :</span></dt><dd>julian</dd><dt><span>calendar :</span></dt><dd>julian</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>description :</span></dt><dd>Temporal mean</dd></dl></div><div class='xr-var-data'><pre>array([112177. , 112206.5, 112237. , 112267.5, 112298. , 112328.5, 112359.5,\n",
-       "       112390. , 112420.5, 112451. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>landuse</span></div><div class='xr-var-dims'>(landuse)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-5b80f799-e479-4394-98ce-33e15c621117' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b80f799-e479-4394-98ce-33e15c621117' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59520e47-51b8-48ea-a999-08c6e3062891' class='xr-var-data-in' type='checkbox'><label for='data-59520e47-51b8-48ea-a999-08c6e3062891' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Land use type</dd><dt><span>standard_name :</span></dt><dd>area_type</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3]</dd><dt><span>flag_meanings :</span></dt><dd>psl pst crp urb</dd></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.5 -88.5 -87.5 ... 88.5 89.5</div><input id='attrs-b34c026e-07bc-411e-a924-745f45227d2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b34c026e-07bc-411e-a924-745f45227d2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6f2568b-b949-487c-b1b0-8f58a9342100' class='xr-var-data-in' type='checkbox'><label for='data-c6f2568b-b949-487c-b1b0-8f58a9342100' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd></dl></div><div class='xr-var-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
+       "    variant_label:         r1i1p1f1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2a0d8089-973d-41cf-92f6-c7d87f181bf1' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-2a0d8089-973d-41cf-92f6-c7d87f181bf1' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span class='xr-has-index'>landuse</span>: 4</li><li><span class='xr-has-index'>lat</span>: 180</li><li><span class='xr-has-index'>lon</span>: 288</li><li><span class='xr-has-index'>bnds</span>: 2</li></ul></div></li><li class='xr-section-item'><input id='section-33327ec1-c254-4d78-9ee0-74c06bc039f9' class='xr-section-summary-in' type='checkbox' checked /><label for='section-33327ec1-c254-4d78-9ee0-74c06bc039f9' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.122e+05 1.122e+05 ... 1.125e+05</div><input id='attrs-0ea964d5-fb1a-4347-ae6f-ffe6ed1834cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ea964d5-fb1a-4347-ae6f-ffe6ed1834cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d333248e-67a3-49c2-bb82-057e86c3ff59' class='xr-var-data-in' type='checkbox'><label for='data-d333248e-67a3-49c2-bb82-057e86c3ff59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>units :</span></dt><dd>days since 1700-01-01 00:00:00</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>calendar_type :</span></dt><dd>julian</dd><dt><span>calendar :</span></dt><dd>julian</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>description :</span></dt><dd>Temporal mean</dd></dl></div><div class='xr-var-data'><pre>array([112177. , 112206.5, 112237. , 112267.5, 112298. , 112328.5, 112359.5,\n",
+       "       112390. , 112420.5, 112451. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>landuse</span></div><div class='xr-var-dims'>(landuse)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-5ca580d7-cfba-4abf-83b0-c12384c9df92' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5ca580d7-cfba-4abf-83b0-c12384c9df92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0102b4af-d2bb-4bd4-8ff2-5c02063c4e5d' class='xr-var-data-in' type='checkbox'><label for='data-0102b4af-d2bb-4bd4-8ff2-5c02063c4e5d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Land use type</dd><dt><span>standard_name :</span></dt><dd>area_type</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3]</dd><dt><span>flag_meanings :</span></dt><dd>psl pst crp urb</dd></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.5 -88.5 -87.5 ... 88.5 89.5</div><input id='attrs-72cc213b-1c5a-49c0-9e00-22f8c8eb6845' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72cc213b-1c5a-49c0-9e00-22f8c8eb6845' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c0d4c76-fbd8-46de-857e-695b8ffae4b0' class='xr-var-data-in' type='checkbox'><label for='data-9c0d4c76-fbd8-46de-857e-695b8ffae4b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd></dl></div><div class='xr-var-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
        "       -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,\n",
        "       -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5,\n",
        "       -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5,\n",
@@ -692,7 +692,7 @@
        "        50.5,  51.5,  52.5,  53.5,  54.5,  55.5,  56.5,  57.5,  58.5,  59.5,\n",
        "        60.5,  61.5,  62.5,  63.5,  64.5,  65.5,  66.5,  67.5,  68.5,  69.5,\n",
        "        70.5,  71.5,  72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,\n",
-       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.625 1.875 3.125 ... 358.1 359.4</div><input id='attrs-5b2eb491-74d7-4386-9727-2dc0dcbf7fb3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b2eb491-74d7-4386-9727-2dc0dcbf7fb3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45e74284-4e97-40ad-942c-2c300d4f0ed4' class='xr-var-data-in' type='checkbox'><label for='data-45e74284-4e97-40ad-942c-2c300d4f0ed4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd></dl></div><div class='xr-var-data'><pre>array([  0.625,   1.875,   3.125, ..., 356.875, 358.125, 359.375], shape=(288,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>bnds</span></div><div class='xr-var-dims'>(bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 2.0</div><input id='attrs-0aa8abd6-aa5f-449d-9994-2e28086dcb53' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0aa8abd6-aa5f-449d-9994-2e28086dcb53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef096166-1943-40dc-9aa7-ac55a510e7ce' class='xr-var-data-in' type='checkbox'><label for='data-ef096166-1943-40dc-9aa7-ac55a510e7ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertex number</dd></dl></div><div class='xr-var-data'><pre>array([1., 2.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ef396541-12ac-4b5a-b200-f1572d5abaf0' class='xr-section-summary-in' type='checkbox' checked /><label for='section-ef396541-12ac-4b5a-b200-f1572d5abaf0' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>fracLut</span></div><div class='xr-var-dims'>(time, landuse, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-a9617c7c-63b0-4d10-ad12-6e09932ac1f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9617c7c-63b0-4d10-ad12-6e09932ac1f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d5dc8d2-6f24-4726-8fc7-91a11742d998' class='xr-var-data-in' type='checkbox'><label for='data-4d5dc8d2-6f24-4726-8fc7-91a11742d998' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Percentage of grid cell for each land use tile</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>cell_methods :</span></dt><dd>area: mean where land over all_area_types time: mean</dd><dt><span>ocean_fillvalue :</span></dt><dd>0.0</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>standard_name :</span></dt><dd>area_fraction</dd><dt><span>interp_method :</span></dt><dd>conserve_order1</dd><dt><span>original_name :</span></dt><dd>fracLut</dd><dt><span>comment :</span></dt><dd>land_area = areacella * fracLut * 0.01</dd></dl></div><div class='xr-var-data'><pre>array([[[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.625 1.875 3.125 ... 358.1 359.4</div><input id='attrs-877951e1-a2f0-4f68-816e-24a1b6129eeb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-877951e1-a2f0-4f68-816e-24a1b6129eeb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0ba59a6-c2bb-4fcb-9790-a6d1ae924413' class='xr-var-data-in' type='checkbox'><label for='data-c0ba59a6-c2bb-4fcb-9790-a6d1ae924413' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd></dl></div><div class='xr-var-data'><pre>array([  0.625,   1.875,   3.125, ..., 356.875, 358.125, 359.375], shape=(288,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>bnds</span></div><div class='xr-var-dims'>(bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 2.0</div><input id='attrs-54dcef01-5d52-4de1-ba80-43fca1f375be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54dcef01-5d52-4de1-ba80-43fca1f375be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83be2ea3-e248-4603-bf2b-bcb7a5f65530' class='xr-var-data-in' type='checkbox'><label for='data-83be2ea3-e248-4603-bf2b-bcb7a5f65530' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertex number</dd></dl></div><div class='xr-var-data'><pre>array([1., 2.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dd7a19b0-d76a-42e1-9175-051f72e22225' class='xr-section-summary-in' type='checkbox' checked /><label for='section-dd7a19b0-d76a-42e1-9175-051f72e22225' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>fracLut</span></div><div class='xr-var-dims'>(time, landuse, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-ffa94ba6-1721-45fa-8500-9535b6531b0b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ffa94ba6-1721-45fa-8500-9535b6531b0b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24dfc339-9ece-4770-a1e8-34d9a45fbbc7' class='xr-var-data-in' type='checkbox'><label for='data-24dfc339-9ece-4770-a1e8-34d9a45fbbc7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Percentage of grid cell for each land use tile</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>cell_methods :</span></dt><dd>area: mean where land over all_area_types time: mean</dd><dt><span>ocean_fillvalue :</span></dt><dd>0.0</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>standard_name :</span></dt><dd>area_fraction</dd><dt><span>interp_method :</span></dt><dd>conserve_order1</dd><dt><span>original_name :</span></dt><dd>fracLut</dd><dt><span>comment :</span></dt><dd>land_area = areacella * fracLut * 0.01</dd></dl></div><div class='xr-var-data'><pre>array([[[[0., 0., 0., ..., 0., 0., 0.],\n",
        "         [0., 0., 0., ..., 0., 0., 0.],\n",
        "         [0., 0., 0., ..., 0., 0., 0.],\n",
        "         ...,\n",
@@ -732,7 +732,7 @@
        "         [0., 0., 0., ..., 0., 0., 0.],\n",
        "         [0., 0., 0., ..., 0., 0., 0.],\n",
        "         [0., 0., 0., ..., 0., 0., 0.]]]],\n",
-       "      shape=(10, 4, 180, 288), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -89.0 -89.0 ... 89.0 90.0</div><input id='attrs-29d2ef5c-e392-4672-aac1-ebdd60059fc7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29d2ef5c-e392-4672-aac1-ebdd60059fc7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56b71651-70f9-4a93-9810-0f248d81ce56' class='xr-var-data-in' type='checkbox'><label for='data-56b71651-70f9-4a93-9810-0f248d81ce56' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude bounds</dd></dl></div><div class='xr-var-data'><pre>array([[-90., -89.],\n",
+       "      shape=(10, 4, 180, 288), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -89.0 -89.0 ... 89.0 90.0</div><input id='attrs-559109bd-ac2f-4942-ad7f-3c79642fc635' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-559109bd-ac2f-4942-ad7f-3c79642fc635' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cbc64d23-81d2-408e-b43d-701f7066a934' class='xr-var-data-in' type='checkbox'><label for='data-cbc64d23-81d2-408e-b43d-701f7066a934' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude bounds</dd></dl></div><div class='xr-var-data'><pre>array([[-90., -89.],\n",
        "       [-89., -88.],\n",
        "       [-88., -87.],\n",
        "       [-87., -86.],\n",
@@ -772,7 +772,7 @@
        "       [ 86.,  87.],\n",
        "       [ 87.,  88.],\n",
        "       [ 88.,  89.],\n",
-       "       [ 89.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.25 1.25 ... 358.8 358.8 360.0</div><input id='attrs-c73f07cf-a26f-4ecc-ba56-3083e14cdf03' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c73f07cf-a26f-4ecc-ba56-3083e14cdf03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06631695-2bea-47c5-8b5e-bd4b12f8b23b' class='xr-var-data-in' type='checkbox'><label for='data-06631695-2bea-47c5-8b5e-bd4b12f8b23b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude bounds</dd></dl></div><div class='xr-var-data'><pre>array([[  0.  ,   1.25],\n",
+       "       [ 89.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.25 1.25 ... 358.8 358.8 360.0</div><input id='attrs-301695a8-6715-4c0d-afb1-1b4337559fb6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-301695a8-6715-4c0d-afb1-1b4337559fb6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb29a09a-675c-4f68-ae54-6d81e662934c' class='xr-var-data-in' type='checkbox'><label for='data-eb29a09a-675c-4f68-ae54-6d81e662934c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude bounds</dd></dl></div><div class='xr-var-data'><pre>array([[  0.  ,   1.25],\n",
        "       [  1.25,   2.5 ],\n",
        "       [  2.5 ,   3.75],\n",
        "       [  3.75,   5.  ],\n",
@@ -812,7 +812,7 @@
        "       [355.  , 356.25],\n",
        "       [356.25, 357.5 ],\n",
        "       [357.5 , 358.75],\n",
-       "       [358.75, 360.  ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.122e+05 1.122e+05 ... 1.125e+05</div><input id='attrs-33e910a6-f557-4123-ae01-3694ee4de3bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33e910a6-f557-4123-ae01-3694ee4de3bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5121f62-00f5-4671-8270-5396cc4d915f' class='xr-var-data-in' type='checkbox'><label for='data-d5121f62-00f5-4671-8270-5396cc4d915f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time axis boundaries</dd></dl></div><div class='xr-var-data'><pre>array([[112163., 112191.],\n",
+       "       [358.75, 360.  ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.122e+05 1.122e+05 ... 1.125e+05</div><input id='attrs-9a3c183e-fb0e-45f1-9e7d-d2cc8dfcc49b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a3c183e-fb0e-45f1-9e7d-d2cc8dfcc49b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0cbd473e-9dcf-4c68-890a-9d8e9596c139' class='xr-var-data-in' type='checkbox'><label for='data-0cbd473e-9dcf-4c68-890a-9d8e9596c139' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time axis boundaries</dd></dl></div><div class='xr-var-data'><pre>array([[112163., 112191.],\n",
        "       [112191., 112222.],\n",
        "       [112222., 112252.],\n",
        "       [112252., 112283.],\n",
@@ -821,7 +821,7 @@
        "       [112344., 112375.],\n",
        "       [112375., 112405.],\n",
        "       [112405., 112436.],\n",
-       "       [112436., 112466.]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1351d458-1c1d-4014-9b2e-58d4c571263f' class='xr-section-summary-in' type='checkbox' checked /><label for='section-1351d458-1c1d-4014-9b2e-58d4c571263f' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(45)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>history :</span></dt><dd>File was processed by fremetar (GFDL analog of CMOR). TripleID: [exper_id_c4DzO28Hvy,realiz_id_ae3CbHYiNT,run_id_iBo24qg7Yw]</dd><dt><span>table_id :</span></dt><dd>Emon</dd><dt><span>activity_id :</span></dt><dd>LUMIP</dd><dt><span>branch_method :</span></dt><dd>no parent</dd><dt><span>branch_time_in_child :</span></dt><dd>0.0</dd><dt><span>comment :</span></dt><dd>&lt;null ref&gt;</dd><dt><span>contact :</span></dt><dd>gfdl.climate.model.info@noaa.gov</dd><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.0 UGRID-1.0</dd><dt><span>creation_date :</span></dt><dd>2019-08-25T02:53:14Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.27</dd><dt><span>experiment :</span></dt><dd>historical land-only with no land-use change</dd><dt><span>experiment_id :</span></dt><dd>land-noLu</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.NOAA-GFDL.GFDL-ESM4.land-noLu.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>land data regridded from Cubed-sphere (c96) to 180,288; interpolation method: conserve_order1</dd><dt><span>grid_label :</span></dt><dd>gr1</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA</dd><dt><span>institution_id :</span></dt><dd>NOAA-GFDL</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by NOAA-GFDL is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>parent_activity_id :</span></dt><dd>no parent</dd><dt><span>parent_experiment_id :</span></dt><dd>no parent</dd><dt><span>parent_mip_era :</span></dt><dd>no parent</dd><dt><span>parent_source_id :</span></dt><dd>no parent</dd><dt><span>parent_time_units :</span></dt><dd>no parent</dd><dt><span>parent_variant_label :</span></dt><dd>no parent</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>1</dd><dt><span>realm :</span></dt><dd>land</dd><dt><span>source :</span></dt><dd>GFDL-ESM4 (2018):\n",
+       "       [112436., 112466.]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-02bb80d7-d7cf-41f1-b656-d6fda6632f22' class='xr-section-summary-in' type='checkbox' checked /><label for='section-02bb80d7-d7cf-41f1-b656-d6fda6632f22' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(45)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>history :</span></dt><dd>File was processed by fremetar (GFDL analog of CMOR). TripleID: [exper_id_c4DzO28Hvy,realiz_id_ae3CbHYiNT,run_id_iBo24qg7Yw]</dd><dt><span>table_id :</span></dt><dd>Emon</dd><dt><span>activity_id :</span></dt><dd>LUMIP</dd><dt><span>branch_method :</span></dt><dd>no parent</dd><dt><span>branch_time_in_child :</span></dt><dd>0.0</dd><dt><span>comment :</span></dt><dd>&lt;null ref&gt;</dd><dt><span>contact :</span></dt><dd>gfdl.climate.model.info@noaa.gov</dd><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.0 UGRID-1.0</dd><dt><span>creation_date :</span></dt><dd>2019-08-25T02:53:14Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.27</dd><dt><span>experiment :</span></dt><dd>historical land-only with no land-use change</dd><dt><span>experiment_id :</span></dt><dd>land-noLu</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.NOAA-GFDL.GFDL-ESM4.land-noLu.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>land data regridded from Cubed-sphere (c96) to 180,288; interpolation method: conserve_order1</dd><dt><span>grid_label :</span></dt><dd>gr1</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA</dd><dt><span>institution_id :</span></dt><dd>NOAA-GFDL</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by NOAA-GFDL is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>parent_activity_id :</span></dt><dd>no parent</dd><dt><span>parent_experiment_id :</span></dt><dd>no parent</dd><dt><span>parent_mip_era :</span></dt><dd>no parent</dd><dt><span>parent_source_id :</span></dt><dd>no parent</dd><dt><span>parent_time_units :</span></dt><dd>no parent</dd><dt><span>parent_variant_label :</span></dt><dd>no parent</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>1</dd><dt><span>realm :</span></dt><dd>land</dd><dt><span>source :</span></dt><dd>GFDL-ESM4 (2018):\n",
        "atmos: GFDL-AM4.1 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 49 levels; top level 1 Pa)\n",
        "ocean: GFDL-OM4p5 (GFDL-MOM6, tripolar - nominal 0.5 deg; 720 x 576 longitude/latitude; 75 levels; top grid cell 0-2 m)\n",
        "seaIce: GFDL-SIM4p5 (GFDL-SIS2.0, tripolar - nominal 0.5 deg; 720 x 576 longitude/latitude; 5 layers; 5 thickness categories)\n",
@@ -988,7 +988,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "output/06_land_use_fraction/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/fracLut/tpt-u-hxy-u/g999/v20260531/fracLut_tpt-u-hxy-u_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_200702-200711.nc\n"
+      "output/06_land_use_fraction/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/glb/mon/fracLut/tpt-u-hxy-u/g999/v20260605/fracLut_tpt-u-hxy-u_mon_glb_g999_DUMMY-MODEL_amip_r9i1p1f3_200702-200711.nc\n"
      ]
     }
    ],
@@ -1596,7 +1596,7 @@
        "    area_label:            u\n",
        "    branded_variable:      fracLut_tpt-u-hxy-u\n",
        "    branding_suffix:       tpt-u-hxy-u\n",
-       "    creation_date:         2026-05-31T18:59:27Z\n",
+       "    creation_date:         2026-06-05T21:59:37Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -1606,7 +1606,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-31T18:59:27Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-06-05T21:59:37Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1625,12 +1625,12 @@
        "    table_info:            Name: CMIP7_land.json; Creation Date:(2026-04-21 1...\n",
        "    temporal_label:        tpt\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/a59f57da-ce0f-4023-be59-de2aafa50663\n",
+       "    tracking_id:           hdl:21.14107/a1f5a1e2-37d7-4c50-ba58-b130068b50bc\n",
        "    variable_id:           fracLut\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c57db432-1eb4-4799-995e-f39bfec270b2' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-c57db432-1eb4-4799-995e-f39bfec270b2' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 180</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 288</li><li><span class='xr-has-index'>time</span>: 10</li><li><span>landuse</span>: 4</li></ul></div></li><li class='xr-section-item'><input id='section-365b7363-cabc-4876-82b5-3abdd85c869e' class='xr-section-summary-in' type='checkbox' checked /><label for='section-365b7363-cabc-4876-82b5-3abdd85c869e' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.5 -88.5 -87.5 ... 88.5 89.5</div><input id='attrs-1bad8746-7f12-49ec-beeb-fdbe9694249b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1bad8746-7f12-49ec-beeb-fdbe9694249b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82f62646-b885-4de9-a25d-5d8f3608cc3e' class='xr-var-data-in' type='checkbox'><label for='data-82f62646-b885-4de9-a25d-5d8f3608cc3e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8e50a1c3-1a84-464a-8dcc-71a83b7a1ece' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-8e50a1c3-1a84-464a-8dcc-71a83b7a1ece' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 180</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 288</li><li><span class='xr-has-index'>time</span>: 10</li><li><span>landuse</span>: 4</li></ul></div></li><li class='xr-section-item'><input id='section-932617fc-49d7-4675-b25f-794ea2cb4bc8' class='xr-section-summary-in' type='checkbox' checked /><label for='section-932617fc-49d7-4675-b25f-794ea2cb4bc8' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.5 -88.5 -87.5 ... 88.5 89.5</div><input id='attrs-b4e5b0e0-e4e1-426a-b2d5-ee7e69642af2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4e5b0e0-e4e1-426a-b2d5-ee7e69642af2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa44324c-f75e-43de-a1fd-619172407e70' class='xr-var-data-in' type='checkbox'><label for='data-fa44324c-f75e-43de-a1fd-619172407e70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
        "       -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,\n",
        "       -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5,\n",
        "       -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5,\n",
@@ -1647,9 +1647,9 @@
        "        50.5,  51.5,  52.5,  53.5,  54.5,  55.5,  56.5,  57.5,  58.5,  59.5,\n",
        "        60.5,  61.5,  62.5,  63.5,  64.5,  65.5,  66.5,  67.5,  68.5,  69.5,\n",
        "        70.5,  71.5,  72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,\n",
-       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.625 1.875 3.125 ... 358.1 359.4</div><input id='attrs-6fe7a1f8-3e88-4223-b4e0-5cebc227ecc5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6fe7a1f8-3e88-4223-b4e0-5cebc227ecc5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9c970b3-e155-444f-9c68-a448d507744f' class='xr-var-data-in' type='checkbox'><label for='data-f9c970b3-e155-444f-9c68-a448d507744f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.625,   1.875,   3.125, ..., 356.875, 358.125, 359.375], shape=(288,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.122e+05 1.122e+05 ... 1.125e+05</div><input id='attrs-62bf1412-a2f8-45ca-aedd-be9e06956fff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62bf1412-a2f8-45ca-aedd-be9e06956fff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-abe00e41-b256-45d6-baa7-5fd508979fdb' class='xr-var-data-in' type='checkbox'><label for='data-abe00e41-b256-45d6-baa7-5fd508979fdb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>days since 1700-01-01 00:00:00</dd><dt><span>calendar :</span></dt><dd>julian</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Points</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([112177. , 112206.5, 112237. , 112267.5, 112298. , 112328.5, 112359.5,\n",
-       "       112390. , 112420.5, 112451. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sector</span></div><div class='xr-var-dims'>(landuse)</div><div class='xr-var-dtype'>|S26</div><div class='xr-var-preview xr-preview'>b&#x27;primary_and_secondary_land&#x27; .....</div><input id='attrs-16444b32-7de5-4b17-aa93-5d76f63d76f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-16444b32-7de5-4b17-aa93-5d76f63d76f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00f6f1bd-e000-4e7d-92ab-9c8e7a67f5fa' class='xr-var-data-in' type='checkbox'><label for='data-00f6f1bd-e000-4e7d-92ab-9c8e7a67f5fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Land use type</dd><dt><span>standard_name :</span></dt><dd>area_type</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;primary_and_secondary_land&#x27;, b&#x27;pastures&#x27;, b&#x27;crops&#x27;, b&#x27;urban&#x27;],\n",
-       "      dtype=&#x27;|S26&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e0e89ee6-553e-4136-b671-6613b1f0235d' class='xr-section-summary-in' type='checkbox' checked /><label for='section-e0e89ee6-553e-4136-b671-6613b1f0235d' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -89.0 -89.0 ... 89.0 90.0</div><input id='attrs-c7b844d6-467c-45d8-8948-7cdc987c1fa0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c7b844d6-467c-45d8-8948-7cdc987c1fa0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8cc787ec-5055-452a-af1f-7c15fedabc72' class='xr-var-data-in' type='checkbox'><label for='data-8cc787ec-5055-452a-af1f-7c15fedabc72' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -89.],\n",
+       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.625 1.875 3.125 ... 358.1 359.4</div><input id='attrs-5a1db95a-ac9c-48c7-92c1-6dcdab7a77d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a1db95a-ac9c-48c7-92c1-6dcdab7a77d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca3a3557-fcc5-42d0-8389-a036346b1852' class='xr-var-data-in' type='checkbox'><label for='data-ca3a3557-fcc5-42d0-8389-a036346b1852' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.625,   1.875,   3.125, ..., 356.875, 358.125, 359.375], shape=(288,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.122e+05 1.122e+05 ... 1.125e+05</div><input id='attrs-e1db81c2-be72-4cef-9660-cf916cd4e394' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e1db81c2-be72-4cef-9660-cf916cd4e394' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e673230a-6aba-49fc-95d3-e5e465ae70e3' class='xr-var-data-in' type='checkbox'><label for='data-e673230a-6aba-49fc-95d3-e5e465ae70e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>days since 1700-01-01 00:00:00</dd><dt><span>calendar :</span></dt><dd>julian</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Points</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([112177. , 112206.5, 112237. , 112267.5, 112298. , 112328.5, 112359.5,\n",
+       "       112390. , 112420.5, 112451. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sector</span></div><div class='xr-var-dims'>(landuse)</div><div class='xr-var-dtype'>|S26</div><div class='xr-var-preview xr-preview'>b&#x27;primary_and_secondary_land&#x27; .....</div><input id='attrs-3843b1c2-6ceb-4b5f-82af-b497ee12c003' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3843b1c2-6ceb-4b5f-82af-b497ee12c003' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03adcbbb-aba6-4138-9b69-0a43c2e85212' class='xr-var-data-in' type='checkbox'><label for='data-03adcbbb-aba6-4138-9b69-0a43c2e85212' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Land use type</dd><dt><span>standard_name :</span></dt><dd>area_type</dd></dl></div><div class='xr-var-data'><pre>array([b&#x27;primary_and_secondary_land&#x27;, b&#x27;pastures&#x27;, b&#x27;crops&#x27;, b&#x27;urban&#x27;],\n",
+       "      dtype=&#x27;|S26&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fde3890c-fde5-407c-ac31-e9bc7da6cd02' class='xr-section-summary-in' type='checkbox' checked /><label for='section-fde3890c-fde5-407c-ac31-e9bc7da6cd02' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -89.0 -89.0 ... 89.0 90.0</div><input id='attrs-94d3d6a3-89ec-4315-a919-821fa0597b91' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-94d3d6a3-89ec-4315-a919-821fa0597b91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57bad24b-4203-4155-a410-7bf171324c42' class='xr-var-data-in' type='checkbox'><label for='data-57bad24b-4203-4155-a410-7bf171324c42' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -89.],\n",
        "       [-89., -88.],\n",
        "       [-88., -87.],\n",
        "       [-87., -86.],\n",
@@ -1689,7 +1689,7 @@
        "       [ 86.,  87.],\n",
        "       [ 87.,  88.],\n",
        "       [ 88.,  89.],\n",
-       "       [ 89.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.25 1.25 ... 358.8 358.8 360.0</div><input id='attrs-40513cd6-a6a7-4ce5-99fc-7029b9948e2a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-40513cd6-a6a7-4ce5-99fc-7029b9948e2a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7787caf-ae7f-4333-9cef-3615e98441c8' class='xr-var-data-in' type='checkbox'><label for='data-a7787caf-ae7f-4333-9cef-3615e98441c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.  ,   1.25],\n",
+       "       [ 89.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.25 1.25 ... 358.8 358.8 360.0</div><input id='attrs-9609ea40-8e52-4356-92ca-2f9d2281f780' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9609ea40-8e52-4356-92ca-2f9d2281f780' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a1ad8b5-ecf8-41c1-86cc-ff445735ef1c' class='xr-var-data-in' type='checkbox'><label for='data-3a1ad8b5-ecf8-41c1-86cc-ff445735ef1c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0.  ,   1.25],\n",
        "       [  1.25,   2.5 ],\n",
        "       [  2.5 ,   3.75],\n",
        "       [  3.75,   5.  ],\n",
@@ -1729,7 +1729,7 @@
        "       [355.  , 356.25],\n",
        "       [356.25, 357.5 ],\n",
        "       [357.5 , 358.75],\n",
-       "       [358.75, 360.  ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fracLut</span></div><div class='xr-var-dims'>(time, landuse, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-2c297302-cf11-4ee2-8715-29f8636301cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c297302-cf11-4ee2-8715-29f8636301cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c949fc28-77dd-4d52-aa9d-78ed6abe5648' class='xr-var-data-in' type='checkbox'><label for='data-c949fc28-77dd-4d52-aa9d-78ed6abe5648' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>area_fraction</dd><dt><span>long_name :</span></dt><dd>Percentage of Grid Cell for Each Land-Use Tile</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>cell_methods :</span></dt><dd>area: mean time: point</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [358.75, 360.  ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fracLut</span></div><div class='xr-var-dims'>(time, landuse, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-cea4b629-ed2d-478c-9ded-f88c2adc1f48' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cea4b629-ed2d-478c-9ded-f88c2adc1f48' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df9db738-f18f-4d60-a6f7-d100cbbae820' class='xr-var-data-in' type='checkbox'><label for='data-df9db738-f18f-4d60-a6f7-d100cbbae820' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>area_fraction</dd><dt><span>long_name :</span></dt><dd>Percentage of Grid Cell for Each Land-Use Tile</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>cell_methods :</span></dt><dd>area: mean time: point</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd></dl></div><div class='xr-var-data'><pre>array([[[[0., 0., 0., ..., 0., 0., 0.],\n",
        "         [0., 0., 0., ..., 0., 0., 0.],\n",
        "         [0., 0., 0., ..., 0., 0., 0.],\n",
        "         ...,\n",
@@ -1769,7 +1769,7 @@
        "         [0., 0., 0., ..., 0., 0., 0.],\n",
        "         [0., 0., 0., ..., 0., 0., 0.],\n",
        "         [0., 0., 0., ..., 0., 0., 0.]]]],\n",
-       "      shape=(10, 4, 180, 288), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-19f80ec4-2a2f-479a-acd5-a572c8222dea' class='xr-section-summary-in' type='checkbox' checked /><label for='section-19f80ec4-2a2f-479a-acd5-a572c8222dea' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>fracLut_tpt-u-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tpt-u-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-31T18:59:27Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-31T18:59:27Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>land</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_land.json; Creation Date:(2026-04-21 15:01:29) MD5:bafb8e42cac0efce87531baf8e7d21b2</dd><dt><span>temporal_label :</span></dt><dd>tpt</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/a59f57da-ce0f-4023-be59-de2aafa50663</dd><dt><span>variable_id :</span></dt><dd>fracLut</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+       "      shape=(10, 4, 180, 288), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-59cf2122-5f47-4fae-a3a5-34d0966dc2e1' class='xr-section-summary-in' type='checkbox' checked /><label for='section-59cf2122-5f47-4fae-a3a5-34d0966dc2e1' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>fracLut_tpt-u-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tpt-u-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-06-05T21:59:37Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-06-05T21:59:37Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>land</dd><dt><span>region :</span></dt><dd>glb</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_land.json; Creation Date:(2026-04-21 15:01:29) MD5:bafb8e42cac0efce87531baf8e7d21b2</dd><dt><span>temporal_label :</span></dt><dd>tpt</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/a1f5a1e2-37d7-4c50-ba58-b130068b50bc</dd><dt><span>variable_id :</span></dt><dd>fracLut</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 8MB\n",
@@ -1790,7 +1790,7 @@
        "    area_label:            u\n",
        "    branded_variable:      fracLut_tpt-u-hxy-u\n",
        "    branding_suffix:       tpt-u-hxy-u\n",
-       "    creation_date:         2026-05-31T18:59:27Z\n",
+       "    creation_date:         2026-06-05T21:59:37Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -1800,7 +1800,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-31T18:59:27Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-06-05T21:59:37Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1819,7 +1819,7 @@
        "    table_info:            Name: CMIP7_land.json; Creation Date:(2026-04-21 1...\n",
        "    temporal_label:        tpt\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/a59f57da-ce0f-4023-be59-de2aafa50663\n",
+       "    tracking_id:           hdl:21.14107/a1f5a1e2-37d7-4c50-ba58-b130068b50bc\n",
        "    variable_id:           fracLut\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
@@ -1895,25 +1895,7 @@
    ]
   }
  ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.13.7"
-  }
- },
+ "metadata": {},
  "nbformat": 4,
  "nbformat_minor": 5
 }
diff --git a/notebooks/07_non_lat_lon_sea_ice_concentration.ipynb b/notebooks/07_non_lat_lon_sea_ice_concentration.ipynb
index 2c1bb373..61689acb 100644
--- a/notebooks/07_non_lat_lon_sea_ice_concentration.ipynb
+++ b/notebooks/07_non_lat_lon_sea_ice_concentration.ipynb
@@ -16,6 +16,13 @@
    "id": "1",
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Matplotlib is building the font cache; this may take a moment.\n"
+     ]
+    },
     {
      "name": "stdout",
      "output_type": "stream",
@@ -685,7 +692,7 @@
        "    product_id:                osi-450-a1\n",
        "    doi:                       10.15770/EUM_SAF_OSI_0023\n",
        "    references:                Product User Manual (2025),Algorithm Theoretic...\n",
-       "    license:                   http://creativecommons.org/licenses/by/4.0/</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2d424034-068d-4f7b-84bd-54440d5af061' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-2d424034-068d-4f7b-84bd-54440d5af061' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>yc</span>: 432</li><li><span class='xr-has-index'>xc</span>: 432</li><li><span>nv</span>: 2</li></ul></div></li><li class='xr-section-item'><input id='section-e7875895-0a5e-4f60-89a7-9d055b767546' class='xr-section-summary-in' type='checkbox' checked /><label for='section-e7875895-0a5e-4f60-89a7-9d055b767546' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.329e+09</div><input id='attrs-cca01738-23da-440b-8bd0-b3697700528d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cca01738-23da-440b-8bd0-b3697700528d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b8a99fe-f659-4c03-9969-c9ce905d747c' class='xr-var-data-in' type='checkbox'><label for='data-3b8a99fe-f659-4c03-9969-c9ce905d747c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>reference time of product</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>seconds since 1978-01-01</dd><dt><span>calendar :</span></dt><dd>standard</dd></dl></div><div class='xr-var-data'><pre>array([1.329394e+09])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yc</span></div><div class='xr-var-dims'>(yc)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.388e+03 5.362e+03 ... -5.388e+03</div><input id='attrs-86a3de97-828d-4992-81b9-02dc327faa64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86a3de97-828d-4992-81b9-02dc327faa64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-226f9b58-c6fb-461a-8788-7bc3dab476ff' class='xr-var-data-in' type='checkbox'><label for='data-226f9b58-c6fb-461a-8788-7bc3dab476ff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>km</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection (northings)</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 5387.5,  5362.5,  5337.5, ..., -5337.5, -5362.5, -5387.5], shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xc</span></div><div class='xr-var-dims'>(xc)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.388e+03 -5.362e+03 ... 5.388e+03</div><input id='attrs-421a2658-54e3-45a9-9449-ce25ecb70372' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-421a2658-54e3-45a9-9449-ce25ecb70372' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af4b1167-bf42-468b-a909-3cbb71afac49' class='xr-var-data-in' type='checkbox'><label for='data-af4b1167-bf42-468b-a909-3cbb71afac49' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>km</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection (eastings)</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-5387.5, -5362.5, -5337.5, ...,  5337.5,  5362.5,  5387.5], shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(yc, xc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>16.62 16.82 17.02 ... 16.82 16.62</div><input id='attrs-323eac94-338c-4842-93b7-3d820ad2b8ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-323eac94-338c-4842-93b7-3d820ad2b8ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54c1697e-13c2-4485-80db-ff10114186ab' class='xr-var-data-in' type='checkbox'><label for='data-54c1697e-13c2-4485-80db-ff10114186ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude coordinate</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([[16.623926, 16.822655, 17.020658, ..., 17.020658, 16.822655,\n",
+       "    license:                   http://creativecommons.org/licenses/by/4.0/</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f3c99287-dc38-4b11-bd98-7c265793620c' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-f3c99287-dc38-4b11-bd98-7c265793620c' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>yc</span>: 432</li><li><span class='xr-has-index'>xc</span>: 432</li><li><span>nv</span>: 2</li></ul></div></li><li class='xr-section-item'><input id='section-8219e897-9080-489c-b0cc-af5166eb50f6' class='xr-section-summary-in' type='checkbox' checked /><label for='section-8219e897-9080-489c-b0cc-af5166eb50f6' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.329e+09</div><input id='attrs-6b21b9b3-47b4-426c-a632-bd221aec6709' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b21b9b3-47b4-426c-a632-bd221aec6709' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e408676-8a30-4a16-88b9-d704fdad378c' class='xr-var-data-in' type='checkbox'><label for='data-5e408676-8a30-4a16-88b9-d704fdad378c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>reference time of product</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>seconds since 1978-01-01</dd><dt><span>calendar :</span></dt><dd>standard</dd></dl></div><div class='xr-var-data'><pre>array([1.329394e+09])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yc</span></div><div class='xr-var-dims'>(yc)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.388e+03 5.362e+03 ... -5.388e+03</div><input id='attrs-8d0d723c-170a-4afa-8b27-4ffdbf2b8f69' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d0d723c-170a-4afa-8b27-4ffdbf2b8f69' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-900499ac-04d2-45d7-ae06-a8ab3362918d' class='xr-var-data-in' type='checkbox'><label for='data-900499ac-04d2-45d7-ae06-a8ab3362918d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>km</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection (northings)</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 5387.5,  5362.5,  5337.5, ..., -5337.5, -5362.5, -5387.5], shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xc</span></div><div class='xr-var-dims'>(xc)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.388e+03 -5.362e+03 ... 5.388e+03</div><input id='attrs-db3382f6-fc7f-4b06-b82d-0d5305a7974e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db3382f6-fc7f-4b06-b82d-0d5305a7974e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f3d2597-cbe0-4ea0-ab21-6fd31e52882b' class='xr-var-data-in' type='checkbox'><label for='data-1f3d2597-cbe0-4ea0-ab21-6fd31e52882b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>km</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection (eastings)</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-5387.5, -5362.5, -5337.5, ...,  5337.5,  5362.5,  5387.5], shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(yc, xc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>16.62 16.82 17.02 ... 16.82 16.62</div><input id='attrs-8f13d07b-5521-4eb0-a8a7-13d04e7ec222' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f13d07b-5521-4eb0-a8a7-13d04e7ec222' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e7afdd4-df10-47f3-ac37-54012706f249' class='xr-var-data-in' type='checkbox'><label for='data-2e7afdd4-df10-47f3-ac37-54012706f249' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude coordinate</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([[16.623926, 16.822655, 17.020658, ..., 17.020658, 16.822655,\n",
        "        16.623926],\n",
        "       [16.822655, 17.021584, 17.219795, ..., 17.219795, 17.021584,\n",
        "        16.822655],\n",
@@ -697,7 +704,7 @@
        "       [16.822655, 17.021584, 17.219795, ..., 17.219795, 17.021584,\n",
        "        16.822655],\n",
        "       [16.623926, 16.822655, 17.020658, ..., 17.020658, 16.822655,\n",
-       "        16.623926]], shape=(432, 432), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(yc, xc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-135.0 -135.1 -135.3 ... 44.87 45.0</div><input id='attrs-ae3be73c-9831-422a-a8f4-c993c84b8222' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae3be73c-9831-422a-a8f4-c993c84b8222' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc32fc2f-c4b6-4be2-bf41-a77021e2f9ac' class='xr-var-data-in' type='checkbox'><label for='data-dc32fc2f-c4b6-4be2-bf41-a77021e2f9ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude coordinate</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([[-135.      , -135.13324 , -135.2671  , ...,  135.2671  ,\n",
+       "        16.623926]], shape=(432, 432), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(yc, xc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-135.0 -135.1 -135.3 ... 44.87 45.0</div><input id='attrs-abf5d874-29f1-4d01-aa89-8d6bab206aeb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-abf5d874-29f1-4d01-aa89-8d6bab206aeb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce8b1f0a-0fef-4dd8-8f60-658ed18a3f55' class='xr-var-data-in' type='checkbox'><label for='data-ce8b1f0a-0fef-4dd8-8f60-658ed18a3f55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude coordinate</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([[-135.      , -135.13324 , -135.2671  , ...,  135.2671  ,\n",
        "         135.13324 ,  135.      ],\n",
        "       [-134.86676 , -135.      , -135.13387 , ...,  135.13387 ,\n",
        "         135.      ,  134.86676 ],\n",
@@ -709,19 +716,19 @@
        "       [ -45.133247,  -45.      ,  -44.86613 , ...,   44.86613 ,\n",
        "          45.      ,   45.133247],\n",
        "       [ -45.      ,  -44.866753,  -44.732887, ...,   44.732887,\n",
-       "          44.866753,   45.      ]], shape=(432, 432), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2e704e1a-cea0-4d60-a090-32f7746c61c3' class='xr-section-summary-in' type='checkbox' checked /><label for='section-2e704e1a-cea0-4d60-a090-32f7746c61c3' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Lambert_Azimuthal_Grid</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>-2147483647</div><input id='attrs-fcd50d09-a3b9-4c03-bd3d-1c9d2536a00f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fcd50d09-a3b9-4c03-bd3d-1c9d2536a00f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a329ef3a-fe98-4a8f-ada9-9cbd80e33c8a' class='xr-var-data-in' type='checkbox'><label for='data-a329ef3a-fe98-4a8f-ada9-9cbd80e33c8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping_name :</span></dt><dd>lambert_azimuthal_equal_area</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>90.0</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>proj4_string :</span></dt><dd>+proj=laea +lon_0=0 +datum=WGS84 +ellps=WGS84 +lat_0=90.0</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ice_conc</span></div><div class='xr-var-dims'>(time, yc, xc)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-13447663-1d24-49c0-8d00-9ed10cc85127' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13447663-1d24-49c0-8d00-9ed10cc85127' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c07dec5b-cf9e-4246-9afe-891f9e69cdb7' class='xr-var-data-in' type='checkbox'><label for='data-c07dec5b-cf9e-4246-9afe-891f9e69cdb7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>fully filtered concentration of sea ice using atmospheric correction of brightness temperatures and open water filters</dd><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>grid_mapping :</span></dt><dd>Lambert_Azimuthal_Grid</dd><dt><span>ancillary_variables :</span></dt><dd>total_standard_uncertainty status_flag</dd><dt><span>comment :</span></dt><dd>this field is the primary sea ice concentration estimate for this climate data record</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "          44.866753,   45.      ]], shape=(432, 432), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-98941566-5eef-4617-ab7c-cf789626830a' class='xr-section-summary-in' type='checkbox' checked /><label for='section-98941566-5eef-4617-ab7c-cf789626830a' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Lambert_Azimuthal_Grid</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>-2147483647</div><input id='attrs-4404d34e-93c5-4f1b-b3d3-ea32fb4c91e9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4404d34e-93c5-4f1b-b3d3-ea32fb4c91e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4bacdf73-04d3-43dc-b491-ffe39224c875' class='xr-var-data-in' type='checkbox'><label for='data-4bacdf73-04d3-43dc-b491-ffe39224c875' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping_name :</span></dt><dd>lambert_azimuthal_equal_area</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>90.0</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>proj4_string :</span></dt><dd>+proj=laea +lon_0=0 +datum=WGS84 +ellps=WGS84 +lat_0=90.0</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ice_conc</span></div><div class='xr-var-dims'>(time, yc, xc)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-d1d278df-a9b1-418d-af20-92e3bec3e488' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1d278df-a9b1-418d-af20-92e3bec3e488' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2cd172e2-6118-4b28-af10-9efdc0a798e1' class='xr-var-data-in' type='checkbox'><label for='data-2cd172e2-6118-4b28-af10-9efdc0a798e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>fully filtered concentration of sea ice using atmospheric correction of brightness temperatures and open water filters</dd><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>grid_mapping :</span></dt><dd>Lambert_Azimuthal_Grid</dd><dt><span>ancillary_variables :</span></dt><dd>total_standard_uncertainty status_flag</dd><dt><span>comment :</span></dt><dd>this field is the primary sea ice concentration estimate for this climate data record</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "        ...,\n",
        "        [ 0.,  0.,  0., ..., nan, nan, nan],\n",
        "        [ 0.,  0.,  0., ..., nan, nan, nan],\n",
-       "        [ 0.,  0.,  0., ..., nan, nan, nan]]], shape=(1, 432, 432))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>raw_ice_conc_values</span></div><div class='xr-var-dims'>(time, yc, xc)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-9352acf8-8c9a-427a-aaef-05608834bd4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9352acf8-8c9a-427a-aaef-05608834bd4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87835b53-a26a-417a-9535-f6f86d841bfb' class='xr-var-data-in' type='checkbox'><label for='data-87835b53-a26a-417a-9535-f6f86d841bfb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea ice concentration estimates as retrieved by the algorithm, and that were edited away by the various filters</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>grid_mapping :</span></dt><dd>Lambert_Azimuthal_Grid</dd><dt><span>comment :</span></dt><dd>this field can be used in combination with &#x27;ice_conc&#x27; to access un-bounded normal distribution of sea ice concentration estimates corresponding to the uncertainty estimate in &#x27;total_standard_uncertainty&#x27;. It does also feature some amount of un-physical data (below 0% and above 100%).</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
+       "        [ 0.,  0.,  0., ..., nan, nan, nan]]], shape=(1, 432, 432))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>raw_ice_conc_values</span></div><div class='xr-var-dims'>(time, yc, xc)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-377ffab0-4c8e-4775-b676-8331f749e4b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-377ffab0-4c8e-4775-b676-8331f749e4b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e736b92-0c2c-4498-ba28-24e196b25f43' class='xr-var-data-in' type='checkbox'><label for='data-8e736b92-0c2c-4498-ba28-24e196b25f43' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea ice concentration estimates as retrieved by the algorithm, and that were edited away by the various filters</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>grid_mapping :</span></dt><dd>Lambert_Azimuthal_Grid</dd><dt><span>comment :</span></dt><dd>this field can be used in combination with &#x27;ice_conc&#x27; to access un-bounded normal distribution of sea ice concentration estimates corresponding to the uncertainty estimate in &#x27;total_standard_uncertainty&#x27;. It does also feature some amount of un-physical data (below 0% and above 100%).</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
        "        [nan, nan, nan, ..., nan, nan, nan],\n",
        "        [nan, nan, nan, ..., nan, nan, nan],\n",
        "        ...,\n",
        "        [nan, nan, nan, ..., nan, nan, nan],\n",
        "        [nan, nan, nan, ..., nan, nan, nan],\n",
-       "        [nan, nan, nan, ..., nan, nan, nan]]], shape=(1, 432, 432))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>status_flag</span></div><div class='xr-var-dims'>(time, yc, xc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>128.0 128.0 128.0 ... 1.0 1.0 1.0</div><input id='attrs-e4b4ed69-d300-4f06-93f0-dcba60a9028a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4b4ed69-d300-4f06-93f0-dcba60a9028a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a4e4abb-d40f-4a7c-b1af-d0336d52d678' class='xr-var-data-in' type='checkbox'><label for='data-1a4e4abb-d40f-4a7c-b1af-d0336d52d678' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>status flag bit array for sea ice concentration retrievals</dd><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction status_flag</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>32767</dd><dt><span>grid_mapping :</span></dt><dd>Lambert_Azimuthal_Grid</dd><dt><span>flag_masks :</span></dt><dd>[  1   2   4   8  16  32  64 128]</dd><dt><span>flag_meanings :</span></dt><dd>land lake open_water_filtered land_spill_over high_t2m spatial_interp temporal_interp max_ice_climo</dd><dt><span>flag_descriptions :</span></dt><dd>\n",
+       "        [nan, nan, nan, ..., nan, nan, nan]]], shape=(1, 432, 432))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>status_flag</span></div><div class='xr-var-dims'>(time, yc, xc)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>128.0 128.0 128.0 ... 1.0 1.0 1.0</div><input id='attrs-8629e256-1e56-4c82-92d5-9919bfaf2b63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8629e256-1e56-4c82-92d5-9919bfaf2b63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88fb5773-8f02-406b-a28f-83def353d668' class='xr-var-data-in' type='checkbox'><label for='data-88fb5773-8f02-406b-a28f-83def353d668' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>status flag bit array for sea ice concentration retrievals</dd><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction status_flag</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>32767</dd><dt><span>grid_mapping :</span></dt><dd>Lambert_Azimuthal_Grid</dd><dt><span>flag_masks :</span></dt><dd>[  1   2   4   8  16  32  64 128]</dd><dt><span>flag_meanings :</span></dt><dd>land lake open_water_filtered land_spill_over high_t2m spatial_interp temporal_interp max_ice_climo</dd><dt><span>flag_descriptions :</span></dt><dd>\n",
        "all bits to 0 (flag 0): Nominal retrieval by the SIC algorithm\n",
        "bit 1 (flag 1): Position is over land\n",
        "bit 2 (flag 2): Position is lake\n",
@@ -737,7 +744,7 @@
        "        [128., 128., 128., ...,   1.,   1.,   1.],\n",
        "        [128., 128., 128., ...,   1.,   1.,   1.],\n",
        "        [128., 128., 128., ...,   1.,   1.,   1.]]],\n",
-       "      shape=(1, 432, 432), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nv)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.328e+09 1.331e+09</div><input id='attrs-f918f5a7-b35c-43e1-b482-accff3e02ebc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f918f5a7-b35c-43e1-b482-accff3e02ebc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc5dccde-2543-4891-8f4c-895174c3cbc5' class='xr-var-data-in' type='checkbox'><label for='data-dc5dccde-2543-4891-8f4c-895174c3cbc5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.3280544e+09, 1.3305600e+09]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4156d26b-63ba-4759-83ca-c7e8264b1eae' class='xr-section-summary-in' type='checkbox' checked /><label for='section-4156d26b-63ba-4759-83ca-c7e8264b1eae' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(43)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>Monthly Sea Ice Concentration Climate Data Record Version 3 (SMMR, SSM/I, and SSMIS) from the EUMETSAT OSI SAF</dd><dt><span>summary :</span></dt><dd>This climate data record of sea ice concentration is obtained from coarse resolution passive microwave satellite data (SMMR, SSM/I, and SSMIS) over the polar regions (Arctic and Antarctic). The processing chain features: 1) dynamic tuning of tie-points and algorithms,  2) correction of atmospheric noise using a Radiative Transfer Model,  3) computation of per-pixel uncertainties, and 4) an optimal hybrid sea ice concentration algorithm. This dataset was generated by the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF). The ESA CCI Programme contributed with Research and Development on the algorithms.</dd><dt><span>topiccategory :</span></dt><dd>Oceans ClimatologyMeteorologyAtmosphere</dd><dt><span>geospatial_lat_min :</span></dt><dd>16.62393</dd><dt><span>geospatial_lat_max :</span></dt><dd>90.0</dd><dt><span>geospatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>180.0</dd><dt><span>geospatial_vertical_min :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_max :</span></dt><dd>0.0</dd><dt><span>sensor :</span></dt><dd>SMMR,SSM/I,SSMIS</dd><dt><span>platform :</span></dt><dd>Nimbus-7,DMSP-F&lt;08,10,11,13,14,15&gt;,DMSP-F&lt;16,17,18&gt;</dd><dt><span>time_coverage_start :</span></dt><dd>2020-02-01T00:00:00Z</dd><dt><span>time_coverage_end :</span></dt><dd>2020-03-01T00:00:00Z</dd><dt><span>time_coverage_duration :</span></dt><dd>P1M</dd><dt><span>time_coverage_resolution :</span></dt><dd>P1M</dd><dt><span>project :</span></dt><dd>OSI SAF - EUMETSAT</dd><dt><span>institution :</span></dt><dd>OSISAF - EUMETSAT</dd><dt><span>creator_name :</span></dt><dd>OSISAF - EUMETSAT</dd><dt><span>creator_type :</span></dt><dd>institution</dd><dt><span>creator_url :</span></dt><dd>https://osi-saf.eumetsat.int/</dd><dt><span>creator_email :</span></dt><dd>osi-saf.helpdesk@meteo.fr</dd><dt><span>date_created :</span></dt><dd>2023-03-20</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>spatial_resolution :</span></dt><dd>25.0 km grid spacing</dd><dt><span>geospatial_bounds_crs :</span></dt><dd>EPSG:6931</dd><dt><span>tracking_id :</span></dt><dd>537df889-640b-44f8-bb9f-f49d9b281ca1</dd><dt><span>naming_authority :</span></dt><dd>int.eumetsat</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (Version 78, 21 September 2021)</dd><dt><span>product_name :</span></dt><dd>osi_saf_sea_ice_conc_climate_data_record_smmrssmissmis</dd><dt><span>keywords :</span></dt><dd>GCMDSK:Earth Science &gt; Cryosphere &gt; Sea Ice &gt; Sea Ice Concentration, GCMDSK:Earth Science &gt; Oceans &gt; Sea Ice &gt; Sea Ice Concentration, GCMDSK:Earth Science &gt; Climate Indicators &gt; Cryospheric Indicators &gt; Sea Ice Concentration, GCMDLOC:Geographic Region &gt; Northern Hemisphere, GCMDLOC:Vertical Location &gt; Sea Surface, GCMDPROV: Government Agencies-non-US &gt; Norway &gt; NO/MET &gt; Norwegian Meteorological Institute</dd><dt><span>keywords_vocabulary :</span></dt><dd>GCMDSK:GCMD Science Keywords:https://gcmd.earthdata.nasa.gov/kms/concepts/concept_scheme/sciencekeywords, GCMDPROV:GCMD Providers:https://gcmd.earthdata.nasa.gov/kms/concepts/concept_scheme/providers, GCMDLOC:GCMD Locations:https://gcmd.earthdata.nasa.gov/kms/concepts/concept_scheme/locations</dd><dt><span>Conventions :</span></dt><dd>CF-1.7,ACDD-1.3</dd><dt><span>algorithm :</span></dt><dd>SICCI3LF (19V, 37V, 37H)</dd><dt><span>contributor_name :</span></dt><dd>Thomas Lavergne,Atle Soerensen,Rasmus Tonboe,Courtenay Strong,Matilde Kreiner,Roberto Saldo,Anton Birkedal,Fabrizio Baordo,Trygve Aspenes,Steinar Eastwood</dd><dt><span>contributor_role :</span></dt><dd>PrincipalInvestigator,author,author,author,author,author,author,author,author,author</dd><dt><span>source :</span></dt><dd>FCDR of SMMR / SSMI / SSMIS Brightness Temperatures R4 from EUMETSAT Climate Monitoring SAF (doi:10.5676/EUM_SAF_CM/FCDR_MWI/V004), ERA5</dd><dt><span>product_status :</span></dt><dd>released</dd><dt><span>history :</span></dt><dd>2023-03-20T13:57:20Z creation\n",
+       "      shape=(1, 432, 432), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nv)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.328e+09 1.331e+09</div><input id='attrs-e876d86a-a3fd-4fa8-b124-34cb265ab9b8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e876d86a-a3fd-4fa8-b124-34cb265ab9b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49fc9cd8-7697-41da-ade0-721816741919' class='xr-var-data-in' type='checkbox'><label for='data-49fc9cd8-7697-41da-ade0-721816741919' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.3280544e+09, 1.3305600e+09]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fc71617f-c813-4005-9d6e-e635d51e82ac' class='xr-section-summary-in' type='checkbox' checked /><label for='section-fc71617f-c813-4005-9d6e-e635d51e82ac' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(43)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>Monthly Sea Ice Concentration Climate Data Record Version 3 (SMMR, SSM/I, and SSMIS) from the EUMETSAT OSI SAF</dd><dt><span>summary :</span></dt><dd>This climate data record of sea ice concentration is obtained from coarse resolution passive microwave satellite data (SMMR, SSM/I, and SSMIS) over the polar regions (Arctic and Antarctic). The processing chain features: 1) dynamic tuning of tie-points and algorithms,  2) correction of atmospheric noise using a Radiative Transfer Model,  3) computation of per-pixel uncertainties, and 4) an optimal hybrid sea ice concentration algorithm. This dataset was generated by the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF). The ESA CCI Programme contributed with Research and Development on the algorithms.</dd><dt><span>topiccategory :</span></dt><dd>Oceans ClimatologyMeteorologyAtmosphere</dd><dt><span>geospatial_lat_min :</span></dt><dd>16.62393</dd><dt><span>geospatial_lat_max :</span></dt><dd>90.0</dd><dt><span>geospatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>180.0</dd><dt><span>geospatial_vertical_min :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_max :</span></dt><dd>0.0</dd><dt><span>sensor :</span></dt><dd>SMMR,SSM/I,SSMIS</dd><dt><span>platform :</span></dt><dd>Nimbus-7,DMSP-F&lt;08,10,11,13,14,15&gt;,DMSP-F&lt;16,17,18&gt;</dd><dt><span>time_coverage_start :</span></dt><dd>2020-02-01T00:00:00Z</dd><dt><span>time_coverage_end :</span></dt><dd>2020-03-01T00:00:00Z</dd><dt><span>time_coverage_duration :</span></dt><dd>P1M</dd><dt><span>time_coverage_resolution :</span></dt><dd>P1M</dd><dt><span>project :</span></dt><dd>OSI SAF - EUMETSAT</dd><dt><span>institution :</span></dt><dd>OSISAF - EUMETSAT</dd><dt><span>creator_name :</span></dt><dd>OSISAF - EUMETSAT</dd><dt><span>creator_type :</span></dt><dd>institution</dd><dt><span>creator_url :</span></dt><dd>https://osi-saf.eumetsat.int/</dd><dt><span>creator_email :</span></dt><dd>osi-saf.helpdesk@meteo.fr</dd><dt><span>date_created :</span></dt><dd>2023-03-20</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>spatial_resolution :</span></dt><dd>25.0 km grid spacing</dd><dt><span>geospatial_bounds_crs :</span></dt><dd>EPSG:6931</dd><dt><span>tracking_id :</span></dt><dd>537df889-640b-44f8-bb9f-f49d9b281ca1</dd><dt><span>naming_authority :</span></dt><dd>int.eumetsat</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (Version 78, 21 September 2021)</dd><dt><span>product_name :</span></dt><dd>osi_saf_sea_ice_conc_climate_data_record_smmrssmissmis</dd><dt><span>keywords :</span></dt><dd>GCMDSK:Earth Science &gt; Cryosphere &gt; Sea Ice &gt; Sea Ice Concentration, GCMDSK:Earth Science &gt; Oceans &gt; Sea Ice &gt; Sea Ice Concentration, GCMDSK:Earth Science &gt; Climate Indicators &gt; Cryospheric Indicators &gt; Sea Ice Concentration, GCMDLOC:Geographic Region &gt; Northern Hemisphere, GCMDLOC:Vertical Location &gt; Sea Surface, GCMDPROV: Government Agencies-non-US &gt; Norway &gt; NO/MET &gt; Norwegian Meteorological Institute</dd><dt><span>keywords_vocabulary :</span></dt><dd>GCMDSK:GCMD Science Keywords:https://gcmd.earthdata.nasa.gov/kms/concepts/concept_scheme/sciencekeywords, GCMDPROV:GCMD Providers:https://gcmd.earthdata.nasa.gov/kms/concepts/concept_scheme/providers, GCMDLOC:GCMD Locations:https://gcmd.earthdata.nasa.gov/kms/concepts/concept_scheme/locations</dd><dt><span>Conventions :</span></dt><dd>CF-1.7,ACDD-1.3</dd><dt><span>algorithm :</span></dt><dd>SICCI3LF (19V, 37V, 37H)</dd><dt><span>contributor_name :</span></dt><dd>Thomas Lavergne,Atle Soerensen,Rasmus Tonboe,Courtenay Strong,Matilde Kreiner,Roberto Saldo,Anton Birkedal,Fabrizio Baordo,Trygve Aspenes,Steinar Eastwood</dd><dt><span>contributor_role :</span></dt><dd>PrincipalInvestigator,author,author,author,author,author,author,author,author,author</dd><dt><span>source :</span></dt><dd>FCDR of SMMR / SSMI / SSMIS Brightness Temperatures R4 from EUMETSAT Climate Monitoring SAF (doi:10.5676/EUM_SAF_CM/FCDR_MWI/V004), ERA5</dd><dt><span>product_status :</span></dt><dd>released</dd><dt><span>history :</span></dt><dd>2023-03-20T13:57:20Z creation\n",
        "2025-02-17T11:05:00Z assign new DOI and version number 3.1</dd><dt><span>product_version :</span></dt><dd>3.1</dd><dt><span>product_id :</span></dt><dd>osi-450-a1</dd><dt><span>doi :</span></dt><dd>10.15770/EUM_SAF_OSI_0023</dd><dt><span>references :</span></dt><dd>Product User Manual (2025),Algorithm Theoretical Basis Document (2025),Validation Report (2025),https://osi-saf.eumetsat.int/products/osi-450-a1</dd><dt><span>license :</span></dt><dd>http://creativecommons.org/licenses/by/4.0/</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
@@ -942,8 +949,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "nh output/07_non_lat_lon_sea_ice_concentration/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/nh/mon/siconc/tavg-u-hxy-u/g999/v20260531/siconc_tavg-u-hxy-u_mon_nh_g999_DUMMY-MODEL_amip_r9i1p1f3_202002-202002.nc\n",
-      "sh output/07_non_lat_lon_sea_ice_concentration/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/sh/mon/siconc/tavg-u-hxy-u/g999/v20260531/siconc_tavg-u-hxy-u_mon_sh_g999_DUMMY-MODEL_amip_r9i1p1f3_202002-202002.nc\n"
+      "nh output/07_non_lat_lon_sea_ice_concentration/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/nh/mon/siconc/tavg-u-hxy-u/g999/v20260605/siconc_tavg-u-hxy-u_mon_nh_g999_DUMMY-MODEL_amip_r9i1p1f3_202002-202002.nc\n",
+      "sh output/07_non_lat_lon_sea_ice_concentration/cmor_output/MIP-DRS7/CMIP7/CMIP/CCCma/DUMMY-MODEL/amip/r9i1p1f3/sh/mon/siconc/tavg-u-hxy-u/g999/v20260605/siconc_tavg-u-hxy-u_mon_sh_g999_DUMMY-MODEL_amip_r9i1p1f3_202002-202002.nc\n"
      ]
     }
    ],
@@ -1579,7 +1586,7 @@
        "    area_label:            u\n",
        "    branded_variable:      siconc_tavg-u-hxy-u\n",
        "    branding_suffix:       tavg-u-hxy-u\n",
-       "    creation_date:         2026-05-31T18:59:29Z\n",
+       "    creation_date:         2026-06-05T21:59:50Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -1588,7 +1595,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-31T18:59:29Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-06-05T21:59:50Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1607,14 +1614,14 @@
        "    table_info:            Name: CMIP7_seaIce.json; Creation Date:(2026-04-21...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/579760dd-61a4-4dd8-aebf-c19a2ca4ef43\n",
+       "    tracking_id:           hdl:21.14107/3a7338c7-6944-4ee7-b038-2d3c2b2ecf56\n",
        "    variable_id:           siconc\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
        "    license:               CC-BY-4.0; CMIP7 data produced by CCCma is license...\n",
-       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-87c22d0a-302c-47dc-bd58-0d7a24648f52' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-87c22d0a-302c-47dc-bd58-0d7a24648f52' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>x</span>: 432</li><li><span class='xr-has-index'>y</span>: 432</li><li><span>vertices</span>: 4</li></ul></div></li><li class='xr-section-item'><input id='section-8298f59b-e858-49d7-97ef-1bf900960cb5' class='xr-section-summary-in' type='checkbox' checked /><label for='section-8298f59b-e858-49d7-97ef-1bf900960cb5' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.539e+04</div><input id='attrs-49f92aae-f5a6-4e45-bb47-673cc7732fb2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49f92aae-f5a6-4e45-bb47-673cc7732fb2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-982a95df-fd45-43dc-b50f-42b2291b367b' class='xr-var-data-in' type='checkbox'><label for='data-982a95df-fd45-43dc-b50f-42b2291b367b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1978-01-01</dd><dt><span>calendar :</span></dt><dd>standard</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15385.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.388e+06 -5.362e+06 ... 5.388e+06</div><input id='attrs-65c1b2cf-b98a-4d17-a409-237d3d39dfa1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65c1b2cf-b98a-4d17-a409-237d3d39dfa1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8876d53-f5dd-4ca9-9ced-b57cf23fae78' class='xr-var-data-in' type='checkbox'><label for='data-d8876d53-f5dd-4ca9-9ced-b57cf23fae78' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-5387500., -5362500., -5337500., ...,  5337500.,  5362500.,  5387500.],\n",
-       "      shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.388e+06 -5.362e+06 ... 5.388e+06</div><input id='attrs-ef458cb9-a4b0-4987-a6db-d1616c1ddf53' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef458cb9-a4b0-4987-a6db-d1616c1ddf53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-370649c3-314c-4e91-98e9-6ed3fdb38fa4' class='xr-var-data-in' type='checkbox'><label for='data-370649c3-314c-4e91-98e9-6ed3fdb38fa4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-5387500., -5362500., -5337500., ...,  5337500.,  5362500.,  5387500.],\n",
-       "      shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.62 16.82 17.02 ... 16.82 16.62</div><input id='attrs-456e257f-585e-4d23-8bb7-f2e5df7374fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-456e257f-585e-4d23-8bb7-f2e5df7374fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60c5f9db-5dfa-4711-90f1-cc97540a9c6f' class='xr-var-data-in' type='checkbox'><label for='data-60c5f9db-5dfa-4711-90f1-cc97540a9c6f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>bounds :</span></dt><dd>vertices_latitude</dd></dl></div><div class='xr-var-data'><pre>array([[16.62392616, 16.82265472, 17.02065849, ..., 17.02065849,\n",
+       "    cmor_version:          3.15.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1c98496a-6742-4d25-8ea4-ee3da75359df' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-1c98496a-6742-4d25-8ea4-ee3da75359df' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>x</span>: 432</li><li><span class='xr-has-index'>y</span>: 432</li><li><span>vertices</span>: 4</li></ul></div></li><li class='xr-section-item'><input id='section-41d0667b-14af-424f-ab5e-f4cbcd9cb379' class='xr-section-summary-in' type='checkbox' checked /><label for='section-41d0667b-14af-424f-ab5e-f4cbcd9cb379' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.539e+04</div><input id='attrs-c14ef592-aa3f-4d68-96ee-e42e031b9fe5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c14ef592-aa3f-4d68-96ee-e42e031b9fe5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb53f63c-593b-4893-b35f-08829cc38de8' class='xr-var-data-in' type='checkbox'><label for='data-eb53f63c-593b-4893-b35f-08829cc38de8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>units :</span></dt><dd>days since 1978-01-01</dd><dt><span>calendar :</span></dt><dd>standard</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time Intervals</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([15385.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.388e+06 -5.362e+06 ... 5.388e+06</div><input id='attrs-236e4a3f-41bb-4f22-a33d-3955a5c39f8f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-236e4a3f-41bb-4f22-a33d-3955a5c39f8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1921a902-30d8-4462-b063-514f4bb56538' class='xr-var-data-in' type='checkbox'><label for='data-1921a902-30d8-4462-b063-514f4bb56538' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-5387500., -5362500., -5337500., ...,  5337500.,  5362500.,  5387500.],\n",
+       "      shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.388e+06 -5.362e+06 ... 5.388e+06</div><input id='attrs-81f698fa-4ad8-41ef-90fe-0d621dd44055' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81f698fa-4ad8-41ef-90fe-0d621dd44055' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a66493c-aedf-4a93-a9e4-9c424756aeab' class='xr-var-data-in' type='checkbox'><label for='data-9a66493c-aedf-4a93-a9e4-9c424756aeab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-5387500., -5362500., -5337500., ...,  5337500.,  5362500.,  5387500.],\n",
+       "      shape=(432,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.62 16.82 17.02 ... 16.82 16.62</div><input id='attrs-17b5f918-5da6-4dbf-87f2-1b9da0f532a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-17b5f918-5da6-4dbf-87f2-1b9da0f532a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0b63173-e8f0-4ca5-9b31-0104892fc54f' class='xr-var-data-in' type='checkbox'><label for='data-b0b63173-e8f0-4ca5-9b31-0104892fc54f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>bounds :</span></dt><dd>vertices_latitude</dd></dl></div><div class='xr-var-data'><pre>array([[16.62392616, 16.82265472, 17.02065849, ..., 17.02065849,\n",
        "        16.82265472, 16.62392616],\n",
        "       [16.82265472, 17.02158356, 17.21979523, ..., 17.21979523,\n",
        "        17.02158356, 16.82265472],\n",
@@ -1626,7 +1633,7 @@
        "       [16.82265472, 17.02158356, 17.21979523, ..., 17.21979523,\n",
        "        17.02158356, 16.82265472],\n",
        "       [16.62392616, 16.82265472, 17.02065849, ..., 17.02065849,\n",
-       "        16.82265472, 16.62392616]], shape=(432, 432))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>315.0 314.9 314.7 ... 134.9 135.0</div><input id='attrs-ba3d7e04-a94f-421d-ab0d-61dafa95ae97' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba3d7e04-a94f-421d-ab0d-61dafa95ae97' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-25058c40-3f8a-42a2-af69-e882e65f8f31' class='xr-var-data-in' type='checkbox'><label for='data-25058c40-3f8a-42a2-af69-e882e65f8f31' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>bounds :</span></dt><dd>vertices_longitude</dd></dl></div><div class='xr-var-data'><pre>array([[315.        , 314.86676025, 314.73287964, ..., 225.2671051 ,\n",
+       "        16.82265472, 16.62392616]], shape=(432, 432))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>315.0 314.9 314.7 ... 134.9 135.0</div><input id='attrs-a18c4549-6b1b-403b-8f3d-75bf7e1be339' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a18c4549-6b1b-403b-8f3d-75bf7e1be339' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84146312-ffea-403e-b2c3-28baa048f839' class='xr-var-data-in' type='checkbox'><label for='data-84146312-ffea-403e-b2c3-28baa048f839' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>bounds :</span></dt><dd>vertices_longitude</dd></dl></div><div class='xr-var-data'><pre>array([[315.        , 314.86676025, 314.73287964, ..., 225.2671051 ,\n",
        "        225.13323975, 225.        ],\n",
        "       [315.13323975, 315.        , 314.86611938, ..., 225.13386536,\n",
        "        225.        , 224.86676025],\n",
@@ -1638,7 +1645,7 @@
        "       [ 44.86675262,  45.        ,  45.13386917, ..., 134.86613464,\n",
        "        135.        , 135.13323975],\n",
        "       [ 45.        ,  45.13324738,  45.26711273, ..., 134.7328949 ,\n",
-       "        134.86676025, 135.        ]], shape=(432, 432))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fe6bf500-958c-4bb9-acc5-4a1b87fee2bc' class='xr-section-summary-in' type='checkbox' checked /><label for='section-fe6bf500-958c-4bb9-acc5-4a1b87fee2bc' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.537e+04 1.54e+04</div><input id='attrs-48f998bd-9bf4-4400-ab03-b9bd249ef059' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-48f998bd-9bf4-4400-ab03-b9bd249ef059' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7603d33d-535b-4f9a-9ae0-7c875583493b' class='xr-var-data-in' type='checkbox'><label for='data-7603d33d-535b-4f9a-9ae0-7c875583493b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[15371., 15400.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>-2147483647</div><input id='attrs-0aef2598-f0c6-4944-a861-4ac9858b7f7a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0aef2598-f0c6-4944-a861-4ac9858b7f7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c29ddcf0-3dde-491e-adce-7b3fb169456c' class='xr-var-data-in' type='checkbox'><label for='data-c29ddcf0-3dde-491e-adce-7b3fb169456c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping_name :</span></dt><dd>lambert_azimuthal_equal_area</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>90.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_latitude</span></div><div class='xr-var-dims'>(x, y, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.42 16.62 16.82 ... 16.42 16.62</div><input id='attrs-ab90b63c-2c09-4671-9202-11d3a49745a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab90b63c-2c09-4671-9202-11d3a49745a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f73f4bee-a7ea-48c0-9b87-f01f9ff461fa' class='xr-var-data-in' type='checkbox'><label for='data-f73f4bee-a7ea-48c0-9b87-f01f9ff461fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[[16.42470792, 16.62369573, 16.822885  , 16.62369573],\n",
+       "        134.86676025, 135.        ]], shape=(432, 432))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e9310cbc-c54d-4e8b-8b1f-9450e99ee276' class='xr-section-summary-in' type='checkbox' checked /><label for='section-e9310cbc-c54d-4e8b-8b1f-9450e99ee276' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.537e+04 1.54e+04</div><input id='attrs-d77f49cd-aa44-4b0b-90a6-7e7459a0f298' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d77f49cd-aa44-4b0b-90a6-7e7459a0f298' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32c040fe-c3e6-4b50-b8ad-b2c35d360ba9' class='xr-var-data-in' type='checkbox'><label for='data-32c040fe-c3e6-4b50-b8ad-b2c35d360ba9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[15371., 15400.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>-2147483647</div><input id='attrs-7c53c746-4536-4d50-9081-a7558ae81fe3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c53c746-4536-4d50-9081-a7558ae81fe3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c92fb68d-96c4-45dd-9736-e1f05d8a59ec' class='xr-var-data-in' type='checkbox'><label for='data-c92fb68d-96c4-45dd-9736-e1f05d8a59ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping_name :</span></dt><dd>lambert_azimuthal_equal_area</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>90.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_latitude</span></div><div class='xr-var-dims'>(x, y, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.42 16.62 16.82 ... 16.42 16.62</div><input id='attrs-7b98c672-63ed-4ec0-8625-41c9405d1ffe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b98c672-63ed-4ec0-8625-41c9405d1ffe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8462cdd2-0732-4546-a2fc-fe499ff4ac76' class='xr-var-data-in' type='checkbox'><label for='data-8462cdd2-0732-4546-a2fc-fe499ff4ac76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[[16.42470792, 16.62369573, 16.822885  , 16.62369573],\n",
        "        [16.822885  , 17.02135298, 17.22002648, 17.02135298],\n",
        "        [17.22002648, 17.41798082, 17.61614471, 17.41798082],\n",
        "        ...,\n",
@@ -1678,7 +1685,7 @@
        "        [17.61614471, 17.41798082, 17.22002648, 17.41798082],\n",
        "        [17.22002648, 17.02135298, 16.822885  , 17.02135298],\n",
        "        [16.822885  , 16.62369573, 16.42470792, 16.62369573]]],\n",
-       "      shape=(432, 432, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_longitude</span></div><div class='xr-var-dims'>(x, y, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>315.0 315.1 315.0 ... 135.0 135.1</div><input id='attrs-01383107-a2cd-4075-a5f5-c4384e8c60dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01383107-a2cd-4075-a5f5-c4384e8c60dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51d8def9-5766-43a5-984b-11a641f2e7a8' class='xr-var-data-in' type='checkbox'><label for='data-51d8def9-5766-43a5-984b-11a641f2e7a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[[315.        , 315.1329366 , 315.        , 314.8670634 ],\n",
+       "      shape=(432, 432, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_longitude</span></div><div class='xr-var-dims'>(x, y, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>315.0 315.1 315.0 ... 135.0 135.1</div><input id='attrs-37d54cdb-6bf0-4ccb-860c-0cdcb9e39445' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37d54cdb-6bf0-4ccb-860c-0cdcb9e39445' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20441628-ade3-47dd-a19e-bc967e25240f' class='xr-var-data-in' type='checkbox'><label for='data-20441628-ade3-47dd-a19e-bc967e25240f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[[315.        , 315.1329366 , 315.        , 314.8670634 ],\n",
        "        [315.        , 315.1329366 , 315.        , 314.8670634 ],\n",
        "        [315.        , 315.1329366 , 315.        , 314.8670634 ],\n",
        "        ...,\n",
@@ -1718,14 +1725,14 @@
        "        [135.        , 134.8670634 , 135.        , 135.1329366 ],\n",
        "        [135.        , 134.8670634 , 135.        , 135.1329366 ],\n",
        "        [135.        , 134.8670634 , 135.        , 135.1329366 ]]],\n",
-       "      shape=(432, 432, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>siconc</span></div><div class='xr-var-dims'>(time, x, y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-12712f36-cadd-4d62-b350-18ec3b1612f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-12712f36-cadd-4d62-b350-18ec3b1612f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eea8c4b3-e718-4850-a164-5944e80d49fe' class='xr-var-data-in' type='checkbox'><label for='data-eea8c4b3-e718-4850-a164-5944e80d49fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction</dd><dt><span>long_name :</span></dt><dd>Sea-Ice Area Percentage (Ocean Grid)</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "      shape=(432, 432, 4))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>siconc</span></div><div class='xr-var-dims'>(time, x, y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-124ca56f-c253-4a38-accc-259872b181a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-124ca56f-c253-4a38-accc-259872b181a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c7f22e3-ce3b-4ccf-9b49-18b8c3a70f2d' class='xr-var-data-in' type='checkbox'><label for='data-4c7f22e3-ce3b-4ccf-9b49-18b8c3a70f2d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction</dd><dt><span>long_name :</span></dt><dd>Sea-Ice Area Percentage (Ocean Grid)</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
        "        ...,\n",
        "        [nan, nan, nan, ...,  0.,  0.,  0.],\n",
        "        [nan, nan, nan, ...,  0.,  0.,  0.],\n",
        "        [nan, nan, nan, ...,  0.,  0.,  0.]]],\n",
-       "      shape=(1, 432, 432), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-91f021da-b771-4761-b8b4-f4f53e68fb92' class='xr-section-summary-in' type='checkbox' checked /><label for='section-91f021da-b771-4761-b8b4-f4f53e68fb92' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(39)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>siconc_tavg-u-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-05-31T18:59:29Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-05-31T18:59:29Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>25 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>seaIce</dd><dt><span>region :</span></dt><dd>nh</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_seaIce.json; Creation Date:(2026-04-21 15:01:29) MD5:ac55986d4e9ece44a638ff080fdd9ada</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/579760dd-61a4-4dd8-aebf-c19a2ca4ef43</dd><dt><span>variable_id :</span></dt><dd>siconc</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
+       "      shape=(1, 432, 432), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2b34b443-88da-49bc-a774-e45058a826fc' class='xr-section-summary-in' type='checkbox' checked /><label for='section-2b34b443-88da-49bc-a774-e45058a826fc' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(39)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.12</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>area_label :</span></dt><dd>u</dd><dt><span>branded_variable :</span></dt><dd>siconc_tavg-u-hxy-u</dd><dt><span>branding_suffix :</span></dt><dd>tavg-u-hxy-u</dd><dt><span>creation_date :</span></dt><dd>2026-06-05T21:59:50Z</dd><dt><span>data_specs_version :</span></dt><dd>MIP-DS7.1.0.0</dd><dt><span>description :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>drs_specs :</span></dt><dd>MIP-DRS7</dd><dt><span>experiment :</span></dt><dd>Simulation of the climate of the recent past with prescribed sea surface temperatures and sea ice concentrations.</dd><dt><span>experiment_id :</span></dt><dd>amip</dd><dt><span>forcing_index :</span></dt><dd>f3</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>grid_label :</span></dt><dd>g999</dd><dt><span>history :</span></dt><dd>2026-06-05T21:59:50Z ; CMOR rewrote data to be consistent with CF-1.12 and CMIP7 data requirements.</dd><dt><span>horizontal_label :</span></dt><dd>hxy</dd><dt><span>host_collection :</span></dt><dd>CMIP7</dd><dt><span>initialization_index :</span></dt><dd>i1</dd><dt><span>institution :</span></dt><dd>Environment and Climate Change Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license_id :</span></dt><dd>CC-BY-4.0</dd><dt><span>mip_era :</span></dt><dd>CMIP7</dd><dt><span>nominal_resolution :</span></dt><dd>25 km</dd><dt><span>physics_index :</span></dt><dd>p1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>r9</dd><dt><span>realm :</span></dt><dd>seaIce</dd><dt><span>region :</span></dt><dd>nh</dd><dt><span>source :</span></dt><dd>DUMMY-MODEL: aerosol: Dummy Aerosol; atmosphere: Dummy Atmosphere; atmospheric_chemistry: Dummy Atmospheric Chemistry; land_surface: Dummy Land Surface; ocean: Dummy Ocean; ocean_biogeochemistry: Dummy Ocean Biogeochemistry; sea_ice: Dummy Sea Ice</dd><dt><span>source_id :</span></dt><dd>DUMMY-MODEL</dd><dt><span>table_info :</span></dt><dd>Name: CMIP7_seaIce.json; Creation Date:(2026-04-21 15:01:29) MD5:ac55986d4e9ece44a638ff080fdd9ada</dd><dt><span>temporal_label :</span></dt><dd>tavg</dd><dt><span>title :</span></dt><dd>DUMMY-MODEL output prepared for CMIP7</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14107/3a7338c7-6944-4ee7-b038-2d3c2b2ecf56</dd><dt><span>variable_id :</span></dt><dd>siconc</dd><dt><span>variant_label :</span></dt><dd>r9i1p1f3</dd><dt><span>vertical_label :</span></dt><dd>u</dd><dt><span>license :</span></dt><dd>CC-BY-4.0; CMIP7 data produced by CCCma is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Consult https://wcrp-cmip.github.io/cmip7-guidance/docs/CMIP7/Guidance_for_users/#2-terms-of-use-and-citations-requirements for terms of use governing CMIP7 output, including citation requirements and proper acknowledgment. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.15.1</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 16MB\n",
@@ -1749,7 +1756,7 @@
        "    area_label:            u\n",
        "    branded_variable:      siconc_tavg-u-hxy-u\n",
        "    branding_suffix:       tavg-u-hxy-u\n",
-       "    creation_date:         2026-05-31T18:59:29Z\n",
+       "    creation_date:         2026-06-05T21:59:50Z\n",
        "    data_specs_version:    MIP-DS7.1.0.0\n",
        "    description:           Simulation of the climate of the recent past with ...\n",
        "    drs_specs:             MIP-DRS7\n",
@@ -1758,7 +1765,7 @@
        "    forcing_index:         f3\n",
        "    frequency:             mon\n",
        "    grid_label:            g999\n",
-       "    history:               2026-05-31T18:59:29Z ; CMOR rewrote data to be con...\n",
+       "    history:               2026-06-05T21:59:50Z ; CMOR rewrote data to be con...\n",
        "    horizontal_label:      hxy\n",
        "    host_collection:       CMIP7\n",
        "    initialization_index:  i1\n",
@@ -1777,7 +1784,7 @@
        "    table_info:            Name: CMIP7_seaIce.json; Creation Date:(2026-04-21...\n",
        "    temporal_label:        tavg\n",
        "    title:                 DUMMY-MODEL output prepared for CMIP7\n",
-       "    tracking_id:           hdl:21.14107/579760dd-61a4-4dd8-aebf-c19a2ca4ef43\n",
+       "    tracking_id:           hdl:21.14107/3a7338c7-6944-4ee7-b038-2d3c2b2ecf56\n",
        "    variable_id:           siconc\n",
        "    variant_label:         r9i1p1f3\n",
        "    vertical_label:        u\n",
@@ -1861,25 +1868,7 @@
    ]
   }
  ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.13.7"
-  }
- },
+ "metadata": {},
  "nbformat": 4,
  "nbformat_minor": 5
 }
diff --git a/notebooks/README.md b/notebooks/README.md
index 875f0808..2ec68f2e 100644
--- a/notebooks/README.md
+++ b/notebooks/README.md
@@ -10,7 +10,7 @@ Create the notebook environment from the repository root:
 python -m venv venv
 source venv/bin/activate
 pip install cmor --extra-index-url https://pcmdi.github.io/cmor
-pip install jupyterlab xarray matplotlib netCDF4 basemap pyproj
+pip install jupyterlab xarray matplotlib netCDF4 basemap pyproj nbstripout
 ```
 
 Start JupyterLab:
@@ -21,6 +21,17 @@ jupyter lab notebooks
 
 The notebooks write generated NetCDF files under `notebooks/output/`.
 
+### Rebuilding notebook output
+To rebuild checked-in example notebook output from the repository root:
+
+```bash
+tools/rebuild_notebook_output.sh notebooks/01_basic_ocean_surface_temperature.ipynb
+```
+
+Use `tools/rebuild_notebook_output.sh --all` to rebuild every example notebook.
+The tool executes notebooks in place, keeps the regenerated outputs, and strips
+notebook metadata with `nbstripout`.
+
 ## Notebooks
 
 1. [Basic Ocean Surface Temperature](01_basic_ocean_surface_temperature.ipynb): writes monthly sea surface temperature (`tos_tavg-u-hxy-sea`) on a latitude-longitude grid.
diff --git a/tools/rebuild_notebook_output.sh b/tools/rebuild_notebook_output.sh
new file mode 100755
index 00000000..b75a544c
--- /dev/null
+++ b/tools/rebuild_notebook_output.sh
@@ -0,0 +1,115 @@
+#!/usr/bin/env bash
+set -euo pipefail
+
+usage() {
+  cat <<'EOF'
+Usage:
+  tools/rebuild_notebook_output.sh [options] NOTEBOOK.ipynb [...]
+  tools/rebuild_notebook_output.sh [options] --all
+
+Executes CMOR example notebooks in place, then strips notebook metadata while
+keeping the regenerated outputs.
+
+Options:
+  --all              Rebuild every notebook in ./notebooks
+  --kernel NAME      Kernel name to execute with (default: python3)
+  --timeout SECONDS  Cell execution timeout; -1 disables it (default: -1)
+  -h, --help         Show this help
+EOF
+}
+
+die() { echo "error: $*" >&2; exit 1; }
+
+script_dir="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
+repo_root="$(cd -- "${script_dir}/.." && pwd)"
+notebooks_dir="${repo_root}/notebooks"
+
+kernel_name="python3"
+timeout="-1"
+all_notebooks="0"
+notebook_args=()
+
+while [[ $# -gt 0 ]]; do
+  case "$1" in
+    --all)
+      all_notebooks="1"
+      shift
+      ;;
+    --kernel)
+      [[ $# -ge 2 ]] || die "--kernel requires a value"
+      kernel_name="$2"
+      shift 2
+      ;;
+    --timeout)
+      [[ $# -ge 2 ]] || die "--timeout requires a value"
+      timeout="$2"
+      shift 2
+      ;;
+    -h|--help)
+      usage
+      exit 0
+      ;;
+    --)
+      shift
+      notebook_args+=("$@")
+      break
+      ;;
+    -*)
+      die "unknown argument: $1 (use --help)"
+      ;;
+    *)
+      notebook_args+=("$1")
+      shift
+      ;;
+  esac
+done
+
+command -v jupyter >/dev/null 2>&1 || die "jupyter not found in PATH"
+command -v nbstripout >/dev/null 2>&1 || die "nbstripout not found in PATH"
+[[ -d "${notebooks_dir}" ]] || die "missing notebooks directory: ${notebooks_dir}"
+[[ "${timeout}" =~ ^-?[0-9]+$ ]] || die "--timeout must be an integer"
+
+if [[ "${all_notebooks}" == "1" && ${#notebook_args[@]} -gt 0 ]]; then
+  die "use either --all or explicit notebook paths, not both"
+fi
+
+notebooks=()
+if [[ "${all_notebooks}" == "1" ]]; then
+  shopt -s nullglob
+  notebooks=("${notebooks_dir}"/*.ipynb)
+  shopt -u nullglob
+else
+  [[ ${#notebook_args[@]} -gt 0 ]] || die "missing NOTEBOOK.ipynb path (or use --all)"
+  for notebook_arg in "${notebook_args[@]}"; do
+    if [[ "${notebook_arg}" = /* ]]; then
+      notebook_path="${notebook_arg}"
+    else
+      notebook_path="${PWD}/${notebook_arg}"
+    fi
+
+    [[ -f "${notebook_path}" ]] || die "not a file: ${notebook_arg}"
+    [[ "${notebook_path}" == *.ipynb ]] || die "not a notebook: ${notebook_arg}"
+    notebooks+=("${notebook_path}")
+  done
+fi
+
+[[ ${#notebooks[@]} -gt 0 ]] || die "no notebooks found"
+
+for notebook in "${notebooks[@]}"; do
+  echo "Rebuilding ${notebook#${repo_root}/}"
+  jupyter nbconvert \
+    --to notebook \
+    --execute \
+    --inplace \
+    --ExecutePreprocessor.cwd="${notebooks_dir}" \
+    --ExecutePreprocessor.kernel_name="${kernel_name}" \
+    --ExecutePreprocessor.timeout="${timeout}" \
+    "${notebook}"
+
+  nbstripout \
+    --keep-output \
+    --extra-keys "metadata.kernelspec metadata.language_info metadata.widgets" \
+    "${notebook}"
+done
+
+echo "Rebuilt ${#notebooks[@]} notebook(s)."