NeXtSIM-4DVar

Source code to run the code developed for the paper 'Four-dimensional variational data assimilation with a sea-ice thickness emulator'.

Installation

To install environment:

conda env create -f environment.yml

To activate the environment:

conda activate env

Build the dataset

The code to build the two datasets, the first one to train $f_{\theta}$ (dataset_evolution) and the second one to train $g_{\theta}$ and run the 4D--Var (dataset_full_state).

Original Files are download from nextsim NANUK outputs [1]. Those files are available through the SASIP github. link to neXtSIM outputs. Forcings were dowloaded from ERA5 file link

Dataset is build and save under netCDF file with make_dataset script.

python make_dataset.py

To build the dataset with a TFRecord architecture, use make_tfrecord script

python make_tfrecord.py

Both datasets, need to be created.