From e297a39c19a9c3bb12265c0329bf1658194c2925 Mon Sep 17 00:00:00 2001
From: Fasil Kebede <46403603+FasilGibdaw@users.noreply.github.com>
Date: Thu, 28 May 2026 12:10:38 +0200
Subject: [PATCH 1/2] updated coeffcients

---
 ...E_00000000T000000_99999999T999999_0106.txt | 271 ++++++++++++++++++
 pyamps/coefficients/__init__.py               |   6 +-
 ...del_vector_NT_MT_NV_MV_65_3_45_3__v1.6.npy | Bin 0 -> 115344 bytes
 3 files changed, 275 insertions(+), 2 deletions(-)
 create mode 100644 pyamps/coefficients/SW_OPER_MIO_SHA_2E_00000000T000000_99999999T999999_0106.txt
 create mode 100644 pyamps/coefficients/model_vector_NT_MT_NV_MV_65_3_45_3__v1.6.npy

diff --git a/pyamps/coefficients/SW_OPER_MIO_SHA_2E_00000000T000000_99999999T999999_0106.txt b/pyamps/coefficients/SW_OPER_MIO_SHA_2E_00000000T000000_99999999T999999_0106.txt
new file mode 100644
index 0000000..ffb82a3
--- /dev/null
+++ b/pyamps/coefficients/SW_OPER_MIO_SHA_2E_00000000T000000_99999999T999999_0106.txt
@@ -0,0 +1,271 @@
+# Sherical harmonic coefficients for the Average Magnetic field and Polar current System (AMPS) model
+# Produced Mar 2026
+#
+# Based on magnetic field measurements from CHAMP (2001-08 to 2010-09) and Swarm (2013-12 to 2023-12).
+# Reference: Laundal et al., "Solar wind and seasonal influence on ionospheric currents", Journal of Geophysical Research - Space Physics, doi:10.1029/2018JA025387, 2018
+#
+# Coefficient unit: nT
+# Apex reference height: 110 km
+# Earth radius: 6371.2 km
+#
+# Spherical harmonic degree, order: 65, 3 (for T) and 45, 3 (for V)
+# 
+# column names:
+# n m tor_c_const tor_s_const pol_c_const pol_s_const tor_c_sinca tor_s_sinca pol_c_sinca pol_s_sinca tor_c_cosca tor_s_cosca pol_c_cosca pol_s_cosca tor_c_epsilon tor_s_epsilon pol_c_epsilon pol_s_epsilon tor_c_epsilon_sinca tor_s_epsilon_sinca pol_c_epsilon_sinca pol_s_epsilon_sinca tor_c_epsilon_cosca tor_s_epsilon_cosca pol_c_epsilon_cosca pol_s_epsilon_cosca tor_c_tilt tor_s_tilt pol_c_tilt pol_s_tilt tor_c_tilt_sinca tor_s_tilt_sinca pol_c_tilt_sinca pol_s_tilt_sinca tor_c_tilt_cosca tor_s_tilt_cosca pol_c_tilt_cosca pol_s_tilt_cosca tor_c_tilt_epsilon tor_s_tilt_epsilon pol_c_tilt_epsilon pol_s_tilt_epsilon tor_c_tilt_epsilon_sinca tor_s_tilt_epsilon_sinca pol_c_tilt_epsilon_sinca pol_s_tilt_epsilon_sinca tor_c_tilt_epsilon_cosca tor_s_tilt_epsilon_cosca pol_c_tilt_epsilon_cosca pol_s_tilt_epsilon_cosca tor_c_tau tor_s_tau pol_c_tau pol_s_tau tor_c_tau_sinca tor_s_tau_sinca pol_c_tau_sinca pol_s_tau_sinca tor_c_tau_cosca tor_s_tau_cosca pol_c_tau_cosca pol_s_tau_cosca tor_c_tilt_tau tor_s_tilt_tau pol_c_tilt_tau pol_s_tilt_tau tor_c_tilt_tau_sinca tor_s_tilt_tau_sinca pol_c_tilt_tau_sinca pol_s_tilt_tau_sinca tor_c_tilt_tau_cosca tor_s_tilt_tau_cosca pol_c_tilt_tau_cosca pol_s_tilt_tau_cosca tor_c_f107 tor_s_f107 pol_c_f107 pol_s_f107
+1  0 -0.0468799        NaN -0.0135379        NaN -0.0067188        NaN -0.0204181        NaN -0.0692039        NaN  0.0402786        NaN  0.0544082        NaN  0.0676157        NaN -0.0397788        NaN -0.0011184        NaN  0.0387589        NaN -0.0029839        NaN  0.1666109        NaN -0.0027058        NaN -0.0007163        NaN  0.0023059        NaN  0.0038533        NaN -0.0011126        NaN  0.0027764        NaN  0.0002957        NaN  0.0057964        NaN -0.0005802        NaN  0.0050834        NaN  0.0004842        NaN  0.0642941        NaN -0.0295295        NaN  0.0344602        NaN  0.0129905        NaN -0.0097986        NaN  0.0180150        NaN  0.0118081        NaN  0.0002461        NaN -0.0003218        NaN  0.0001777        NaN -0.0044126        NaN -0.0001909        NaN  0.0215472        NaN  0.0193795        NaN
+1  1  0.9680694 -0.0483498 -0.2768638  0.2517481  0.0360104 -0.0027738 -0.0375340  0.0408573 -1.5181493  1.1577593  0.0358056  0.0584356 -1.0910324  0.5537759  0.0270295 -0.0042346 -0.0419598  0.0208669  0.0422775 -0.0179830  0.2433818 -0.3928145  0.0223281 -0.0232492  0.0046799  0.0002270 -0.0109127  0.0002629 -0.0055698  0.0187052 -0.0013305 -0.0014512 -0.0054470  0.0073079 -0.0024963 -0.0021926 -0.0071323  0.0013156 -0.0018326  0.0013085  0.0067661 -0.0071873  0.0001756 -0.0000428 -0.0031868 -0.0032117  0.0001739  0.0017780 -0.0817093  0.0438839 -0.0442324  0.0076832  0.0001153  0.0196999  0.0213533 -0.0199372  0.0421900 -0.0557275  0.0392982 -0.0074473  0.0010867  0.0000480 -0.0009890 -0.0011604  0.0041831 -0.0006255  0.0002789  0.0000326 -0.0020188 -0.0006031  0.0001218  0.0017869 -0.0064938  0.0021051 -0.0004571  0.0013144
+2  0 -0.3731992        NaN -0.5090702        NaN  0.0258783        NaN -0.0051077        NaN  0.2008325        NaN  0.0392263        NaN  0.1377946        NaN -0.0045174        NaN -0.0080181        NaN  0.0061284        NaN -0.0789563        NaN  0.0069447        NaN -0.0021123        NaN  0.0447649        NaN  0.0077651        NaN  0.0004495        NaN  0.0023384        NaN  0.0034441        NaN  0.0001278        NaN  0.0036641        NaN -0.0069665        NaN -0.0002591        NaN  0.0006531        NaN -0.0005975        NaN  0.0423055        NaN -0.0070885        NaN  0.0023059        NaN  0.0127049        NaN -0.0432789        NaN  0.0037630        NaN -0.0012360        NaN  0.0014178        NaN -0.0022988        NaN  0.0002604        NaN  0.0019275        NaN -0.0001233        NaN -0.0031020        NaN -0.0001869        NaN
+2  1 -0.4504834 -0.3733620 -0.5580808  0.0355412 -0.1682876 -0.2792984  0.0111493 -0.0210739 -0.0397304  0.0060822 -0.1924145  0.2585222  0.0116516 -0.0097481  0.0184419  0.0756381 -0.3232291  0.0950343  0.0059092  0.0023394  0.0383044 -0.0003859  0.0484694 -0.0682206  0.0130695 -0.0336464 -0.0062820  0.0059434  0.0025104  0.0052886  0.0000703  0.0029917 -0.0001592 -0.0022233  0.0009347  0.0017052 -0.0011957  0.0159031 -0.0007768  0.0012844 -0.0010722 -0.0018185 -0.0003723 -0.0017552 -0.0030300 -0.0043122 -0.0015013 -0.0000995 -0.0398810 -0.0138227 -0.0029518  0.0551319 -0.1532918  0.0739126  0.0021933 -0.0132294  0.0300888  0.0040116  0.0291153 -0.0523632  0.0001261  0.0089525  0.0007966 -0.0000686  0.0001307 -0.0005083  0.0007718 -0.0000402  0.0006193 -0.0023377 -0.0009809  0.0003183  0.0006797 -0.0002903 -0.0113803 -0.0069299
+2  2 -0.2316364  0.2710598  0.1644564 -0.1845558  0.0502082  0.0160718  0.0337334  0.0054088 -0.0183545 -0.2274771 -0.0191316  0.0032543  0.0512375  0.0465734  0.0084167 -0.0073190 -0.0084567 -0.0153260  0.0015233 -0.0008768  0.0237941  0.1555794  0.0021466 -0.0049566  0.0029504  0.0034657  0.0079096 -0.0079354 -0.0035453 -0.0007432 -0.0007222  0.0007864 -0.0042814 -0.0029219  0.0028863  0.0019681  0.0015162 -0.0050481  0.0009913 -0.0011459  0.0028922  0.0013370  0.0000141 -0.0000628  0.0027894 -0.0011777 -0.0004029 -0.0006449 -0.0116939 -0.0459630  0.0067950  0.0092448 -0.0004487 -0.0005778 -0.0074172  0.0092414  0.0233426  0.0637237 -0.0049429 -0.0135363 -0.0016585  0.0028908  0.0004052 -0.0001689 -0.0007187  0.0006663 -0.0002200  0.0002156  0.0007898 -0.0029423 -0.0001205 -0.0008851  0.0063085 -0.0029462  0.0006949 -0.0017734
+3  0 -0.0619497        NaN -0.8214311        NaN  0.0451406        NaN -0.0030715        NaN -0.0231406        NaN -0.0951987        NaN -0.0181742        NaN  0.0432189        NaN -0.1304797        NaN  0.0047265        NaN -0.0065051        NaN  0.0900522        NaN -0.0188742        NaN -0.0017577        NaN  0.0041556        NaN -0.0017070        NaN -0.0044499        NaN  0.0019409        NaN  0.0008335        NaN -0.0009585        NaN -0.0039059        NaN  0.0027537        NaN -0.0030682        NaN -0.0009474        NaN -0.0024124        NaN  0.0009231        NaN -0.0766461        NaN  0.0035124        NaN -0.0139122        NaN  0.0209429        NaN -0.0014693        NaN  0.0011563        NaN  0.0003903        NaN  0.0023631        NaN  0.0002510        NaN -0.0015394        NaN -0.0122783        NaN -0.0033533        NaN
+3  1  0.5965952 -0.0522430  0.0957911  0.0164836  0.0023347 -0.0293678 -0.0656845  0.0465177 -1.0462868  0.9914024  0.0182518  0.0036256 -0.7053235  0.6287508  0.0272938  0.0103263 -0.0135921  0.0207905  0.0367158  0.0211286  0.2283967 -0.3440612  0.0039648  0.0085291  0.0026586  0.0023313 -0.0211887 -0.0173294 -0.0059732  0.0123868  0.0011515 -0.0000696 -0.0048932  0.0004547 -0.0043328 -0.0029366 -0.0001649 -0.0011670  0.0010946 -0.0020420  0.0041659 -0.0050044 -0.0000241  0.0001617  0.0000269 -0.0003556  0.0011195  0.0016537 -0.0831227  0.0541453 -0.0054859 -0.0200133 -0.0058499  0.0202365  0.0007063  0.0370639  0.0800994 -0.0752144  0.0082727  0.0144689  0.0003233  0.0004516  0.0000336 -0.0006865 -0.0008031  0.0000673 -0.0002448 -0.0003240 -0.0012811 -0.0007297  0.0005324  0.0004654  0.0042253  0.0003202  0.0009654 -0.0004945
+3  2  0.3337837  0.0123698  0.7627859 -0.0290344  0.0467879 -0.0264077 -0.0023315  0.0012335 -0.0036367 -0.0108501 -0.0103914  0.0687446  0.0073675  0.0118618 -0.0233925 -0.0024069 -0.0120559  0.0131080  0.0000977  0.0009325 -0.0032772  0.0149219 -0.0173685 -0.0189918  0.0064361  0.0096928  0.0050486 -0.0088135 -0.0011968  0.0010654  0.0002392 -0.0000116  0.0026291 -0.0043691  0.0000216  0.0001410  0.0027988 -0.0022156  0.0002214  0.0004444  0.0000626  0.0001195 -0.0001014 -0.0003368 -0.0012869 -0.0000180  0.0004153  0.0001979  0.0039955 -0.0074953 -0.0011815 -0.0045675 -0.0227607  0.0076709  0.0010963  0.0021914  0.0005879  0.0077889 -0.0084764 -0.0077228  0.0007163  0.0012229 -0.0003970  0.0004121 -0.0000828  0.0003038 -0.0003278 -0.0000476 -0.0011615 -0.0015321  0.0001933 -0.0002260 -0.0019322  0.0011063  0.0066563  0.0040469
+3  3 -0.0008866  0.0085893 -0.0084702  0.0833949 -0.0272304  0.0170921 -0.0053267 -0.0047717  0.0057337 -0.0103764  0.0311012 -0.0569425  0.0004772 -0.0236075  0.0032702 -0.0189804  0.0010169 -0.0183056 -0.0013544  0.0070291 -0.0168473 -0.0123754 -0.0027558 -0.0145927 -0.0071199 -0.0015400 -0.0026274  0.0139882  0.0026028 -0.0000074  0.0007082  0.0001925  0.0057829  0.0047348 -0.0003036 -0.0015440 -0.0016254  0.0011358 -0.0005136  0.0000108 -0.0006641 -0.0004580  0.0000508 -0.0002545 -0.0045410 -0.0038077 -0.0004175  0.0002763  0.0192890  0.0086595  0.0061849  0.0071971  0.0031582  0.0018186  0.0019061 -0.0024005 -0.0099719 -0.0090252 -0.0058859 -0.0070435  0.0023287  0.0001772  0.0002572 -0.0000582  0.0018162 -0.0003025 -0.0000909  0.0000095 -0.0015191  0.0000876 -0.0003842  0.0003509 -0.0013514 -0.0009302 -0.0003549  0.0011454
+4  0 -0.3192648        NaN  0.0558479        NaN -0.0136159        NaN  0.0048646        NaN  0.2308470        NaN -0.0239697        NaN  0.2419623        NaN  0.0153188        NaN  0.0131388        NaN  0.0382236        NaN -0.0661669        NaN  0.0342241        NaN  0.0027640        NaN -0.0057641        NaN  0.0071855        NaN  0.0005240        NaN  0.0017184        NaN  0.0018758        NaN  0.0017726        NaN  0.0058300        NaN -0.0081757        NaN -0.0000405        NaN -0.0008798        NaN  0.0007320        NaN  0.0526682        NaN -0.0171464        NaN -0.0006163        NaN  0.0269448        NaN -0.0280890        NaN  0.0210244        NaN -0.0005913        NaN  0.0004156        NaN -0.0064860        NaN  0.0001443        NaN -0.0012752        NaN  0.0006579        NaN  0.0004923        NaN  0.0008839        NaN
+4  1  0.3244621  0.0565037  0.2852149  0.1482679 -0.0414987 -0.4567912  0.0068866  0.0327986  0.0559028 -0.0537540 -0.0249293 -0.1414487  0.0357618 -0.0450202 -0.0885256 -0.0719974  0.2584106  0.3952527  0.0053551 -0.0048968 -0.0207248  0.0028478 -0.0249394  0.0281053 -0.0735522  0.0504788  0.0027943 -0.0039530 -0.0008689 -0.0010015 -0.0003194  0.0001656  0.0043207  0.0077343 -0.0002072  0.0002097 -0.0009775  0.0116912  0.0007391  0.0003276  0.0002588  0.0024784  0.0008151 -0.0008043 -0.0026369  0.0034002  0.0000111  0.0002449 -0.0186567  0.0022686 -0.0213347 -0.0134363  0.0435400  0.1686695  0.0044622 -0.0053114  0.0053015 -0.0014357 -0.0078237  0.0165542  0.0008876 -0.0124909 -0.0000240 -0.0001807 -0.0010820  0.0008957  0.0001390  0.0004946 -0.0043214  0.0076824  0.0002770  0.0002065 -0.0022693  0.0002011  0.0085932  0.0044237
+4  2  0.0324887  0.2003848  0.0405555 -0.0826185  0.0069451  0.0128857  0.0138771  0.0221777 -0.0704310 -0.2059115  0.0367683  0.0050486  0.0450172  0.0095861  0.0132661 -0.0058616 -0.0084163 -0.0221826 -0.0046468  0.0030177  0.0572263  0.1148254  0.0017593 -0.0084430  0.0016099 -0.0007452  0.0137098  0.0125755 -0.0020453 -0.0024070 -0.0000418  0.0005770  0.0009924 -0.0000649 -0.0018779 -0.0020548  0.0003252  0.0018290 -0.0008834 -0.0009574 -0.0002400  0.0001697 -0.0000303 -0.0002187  0.0003325 -0.0009933 -0.0009471  0.0001741 -0.0336743  0.0027319  0.0013494  0.0077881  0.0026503  0.0023777 -0.0007340 -0.0056638  0.0349793  0.0205680 -0.0016396 -0.0062473 -0.0007702 -0.0014385  0.0010269 -0.0003233  0.0008345 -0.0008962  0.0001634  0.0000712  0.0023226  0.0007992 -0.0008270  0.0004823 -0.0007336  0.0026364  0.0000798  0.0003694
+4  3 -0.1401966  0.0143826 -0.4445870 -0.0673416  0.0196055  0.0069673 -0.0114693  0.0231973  0.0358881 -0.0068685 -0.0035333 -0.0258173  0.0055739  0.0191896  0.0119007  0.0017499 -0.0171775  0.0006594  0.0025100 -0.0057862 -0.0081251  0.0155416  0.0174257  0.0092947 -0.0019782 -0.0015404  0.0021313  0.0019059  0.0007420 -0.0008273 -0.0010671 -0.0006944 -0.0017188 -0.0018165  0.0013229 -0.0006761 -0.0002648 -0.0018882  0.0002697 -0.0001945 -0.0005863  0.0006743  0.0001351  0.0003558 -0.0000187 -0.0020521  0.0000543  0.0002284  0.0037491 -0.0103519  0.0013791 -0.0077044  0.0001198 -0.0001829  0.0018155  0.0001877 -0.0040525  0.0165299  0.0039707  0.0079802  0.0006611  0.0021008 -0.0001996 -0.0006682 -0.0000713 -0.0003854  0.0003424  0.0000529 -0.0000792 -0.0019560 -0.0000641  0.0005038  0.0013433 -0.0009558 -0.0025122 -0.0002180
+5  0  0.1053533        NaN -0.7477370        NaN  0.0723054        NaN  0.0191915        NaN -0.0307097        NaN -0.3949995        NaN -0.0306466        NaN -0.0987101        NaN -0.1777675        NaN  0.0035804        NaN -0.0067311        NaN  0.1356991        NaN -0.0108473        NaN  0.0037545        NaN -0.0029375        NaN -0.0051015        NaN -0.0018387        NaN -0.0008513        NaN -0.0023615        NaN  0.0000455        NaN  0.0031722        NaN  0.0059419        NaN  0.0017010        NaN  0.0012084        NaN -0.0043678        NaN -0.0663868        NaN -0.1125552        NaN  0.0053694        NaN  0.0031771        NaN  0.0587084        NaN  0.0038853        NaN -0.0001159        NaN -0.0008255        NaN  0.0033338        NaN -0.0025975        NaN  0.0000921        NaN  0.0083728        NaN  0.0136075        NaN
+5  1  0.1966021 -0.5649586  0.0456041 -0.0705905 -0.0099453 -0.0269459  0.0080012 -0.0038087 -0.4082109  0.9976002 -0.0094265 -0.0097311 -0.4167141  0.8059057  0.0143674 -0.0056522 -0.0061803  0.0197188  0.0203194 -0.0154255  0.0277561 -0.2918638  0.0228320  0.0134646  0.0019585 -0.0009464  0.0123322  0.0133058 -0.0007945  0.0097882 -0.0003685  0.0010007 -0.0032046  0.0025089 -0.0033917 -0.0072887 -0.0007235 -0.0012264 -0.0008750 -0.0057228  0.0016560 -0.0053206  0.0002531 -0.0000781  0.0023999 -0.0032176  0.0007293  0.0020483  0.0132684  0.0468175 -0.0230316 -0.0134355  0.0036503  0.0195846  0.0111948  0.0160778 -0.0088613 -0.0726425  0.0208102  0.0129227 -0.0011789 -0.0000133 -0.0014439 -0.0010026  0.0028920 -0.0002643  0.0002638 -0.0001356  0.0024070 -0.0004623  0.0003482  0.0012710 -0.0038956  0.0064796  0.0001383 -0.0008514
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\ No newline at end of file
diff --git a/pyamps/coefficients/__init__.py b/pyamps/coefficients/__init__.py
index d35d238..e03af8d 100644
--- a/pyamps/coefficients/__init__.py
+++ b/pyamps/coefficients/__init__.py
@@ -13,7 +13,8 @@
 MODEL_VECTOR_0103 = os.path.join(_PATH, "model_vector_NT_MT_NV_MV_65_3_45_3__v1.3.npy")
 MODEL_VECTOR_0104 = os.path.join(_PATH, "model_vector_NT_MT_NV_MV_65_3_45_3__v1.4.npy")
 MODEL_VECTOR_0105 = os.path.join(_PATH, "model_vector_NT_MT_NV_MV_65_3_45_3__v1.5.npy")
-MODEL_VECTOR_LATEST = MODEL_VECTOR_0105
+MODEL_VECTOR_0106 = os.path.join(_PATH, "model_vector_NT_MT_NV_MV_65_3_45_3__v1.6.npy")
+MODEL_VECTOR_LATEST = MODEL_VECTOR_0106
 
 MODEL_COEFF_TEST = os.path.join(_PATH, "test_model.txt")
 MODEL_COEFF_0101 = os.path.join(_PATH, "SW_OPER_MIO_SHA_2E_00000000T000000_99999999T999999_0101.txt")
@@ -21,4 +22,5 @@
 MODEL_COEFF_0103 = os.path.join(_PATH, "SW_OPER_MIO_SHA_2E_00000000T000000_99999999T999999_0103.txt")
 MODEL_COEFF_0104 = os.path.join(_PATH, "SW_OPER_MIO_SHA_2E_00000000T000000_99999999T999999_0104.txt")
 MODEL_COEFF_0105 = os.path.join(_PATH, "SW_OPER_MIO_SHA_2E_00000000T000000_99999999T999999_0105.txt")
-MODEL_COEFF_LATEST = MODEL_COEFF_0105
+MODEL_COEFF_0106 = os.path.join(_PATH, "SW_OPER_MIO_SHA_2E_00000000T000000_99999999T999999_0106.txt")
+MODEL_COEFF_LATEST = MODEL_COEFF_0106
diff --git a/pyamps/coefficients/model_vector_NT_MT_NV_MV_65_3_45_3__v1.6.npy b/pyamps/coefficients/model_vector_NT_MT_NV_MV_65_3_45_3__v1.6.npy
new file mode 100644
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literal 0
HcmV?d00001


From 564d47342658a7c85eafa5b0e97be0e3058275cb Mon Sep 17 00:00:00 2001
From: Fasil Kebede <46403603+FasilGibdaw@users.noreply.github.com>
Date: Tue, 21 Jul 2026 13:20:10 +0200
Subject: [PATCH 2/2] updated coefficients V1.07 using CHAOS-8.6

---
 ...ac_and_equivalent_current_-25_deg_tilt.pdf |    Bin 860410 -> 867567 bytes
 ...ac_and_equivalent_current_-25_deg_tilt.png |    Bin 1169968 -> 1014911 bytes
 ...ac_and_equivalent_current_-25_deg_tilt.svg | 120195 ++++----
 ..._fac_and_equivalent_current_0_deg_tilt.pdf |    Bin 982314 -> 990323 bytes
 ..._fac_and_equivalent_current_0_deg_tilt.png |    Bin 1494046 -> 1177308 bytes
 ..._fac_and_equivalent_current_0_deg_tilt.svg | 160620 +++++-----
 ...fac_and_equivalent_current_25_deg_tilt.pdf |    Bin 1184121 -> 1191733 bytes
 ...fac_and_equivalent_current_25_deg_tilt.png |    Bin 1941406 -> 1430950 bytes
 ...fac_and_equivalent_current_25_deg_tilt.svg | 227221 ++++++++-------
 .../amps_total_current_-25_deg_tilt.pdf       |    Bin 624974 -> 608454 bytes
 .../amps_total_current_-25_deg_tilt.png       |    Bin 844627 -> 827431 bytes
 .../amps_total_current_0_deg_tilt.pdf         |    Bin 722075 -> 683747 bytes
 .../amps_total_current_0_deg_tilt.png         |    Bin 1054182 -> 988851 bytes
 .../amps_total_current_25_deg_tilt.pdf        |    Bin 833487 -> 796249 bytes
 .../amps_total_current_25_deg_tilt.png        |    Bin 1308926 -> 1197273 bytes
 ...E_00000000T000000_99999999T999999_0107.txt |    271 +
 pyamps/coefficients/__init__.py               |      6 +-
 ...del_vector_NT_MT_NV_MV_65_3_45_3__v1.7.npy |    Bin 0 -> 115344 bytes
 18 files changed, 255001 insertions(+), 253312 deletions(-)
 create mode 100644 pyamps/coefficients/SW_OPER_MIO_SHA_2E_00000000T000000_99999999T999999_0107.txt
 create mode 100644 pyamps/coefficients/model_vector_NT_MT_NV_MV_65_3_45_3__v1.7.npy

diff --git a/pyamps/climatology_plots/amps_fac_and_equivalent_current_-25_deg_tilt.pdf b/pyamps/climatology_plots/amps_fac_and_equivalent_current_-25_deg_tilt.pdf
index d6ceca238fec6be7f084130948b86e9bf4512463..1da57ab6de0a9b9d0143aa96fe194e702273b695 100644
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diff --git a/pyamps/climatology_plots/amps_fac_and_equivalent_current_-25_deg_tilt.png b/pyamps/climatology_plots/amps_fac_and_equivalent_current_-25_deg_tilt.png
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diff --git a/pyamps/climatology_plots/amps_fac_and_equivalent_current_25_deg_tilt.png b/pyamps/climatology_plots/amps_fac_and_equivalent_current_25_deg_tilt.png
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diff --git a/pyamps/climatology_plots/amps_total_current_0_deg_tilt.pdf b/pyamps/climatology_plots/amps_total_current_0_deg_tilt.pdf
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diff --git a/pyamps/coefficients/SW_OPER_MIO_SHA_2E_00000000T000000_99999999T999999_0107.txt b/pyamps/coefficients/SW_OPER_MIO_SHA_2E_00000000T000000_99999999T999999_0107.txt
new file mode 100644
index 0000000..4e46e22
--- /dev/null
+++ b/pyamps/coefficients/SW_OPER_MIO_SHA_2E_00000000T000000_99999999T999999_0107.txt
@@ -0,0 +1,271 @@
+# Sherical harmonic coefficients for the Average Magnetic field and Polar current System (AMPS) model
+# Produced Jul 2026
+#
+# Based on magnetic field measurements from CHAMP (2001-08 to 2010-09) and Swarm (2013-12 to 2023-12).
+# Reference: Laundal et al., "Solar wind and seasonal influence on ionospheric currents", Journal of Geophysical Research - Space Physics, doi:10.1029/2018JA025387, 2018
+#
+# Coefficient unit: nT
+# Apex reference height: 110 km
+# Earth radius: 6371.2 km
+#
+# Spherical harmonic degree, order: 65, 3 (for T) and 45, 3 (for V)
+# 
+# column names:
+# n m tor_c_const tor_s_const pol_c_const pol_s_const tor_c_sinca tor_s_sinca pol_c_sinca pol_s_sinca tor_c_cosca tor_s_cosca pol_c_cosca pol_s_cosca tor_c_epsilon tor_s_epsilon pol_c_epsilon pol_s_epsilon tor_c_epsilon_sinca tor_s_epsilon_sinca pol_c_epsilon_sinca pol_s_epsilon_sinca tor_c_epsilon_cosca tor_s_epsilon_cosca pol_c_epsilon_cosca pol_s_epsilon_cosca tor_c_tilt tor_s_tilt pol_c_tilt pol_s_tilt tor_c_tilt_sinca tor_s_tilt_sinca pol_c_tilt_sinca pol_s_tilt_sinca tor_c_tilt_cosca tor_s_tilt_cosca pol_c_tilt_cosca pol_s_tilt_cosca tor_c_tilt_epsilon tor_s_tilt_epsilon pol_c_tilt_epsilon pol_s_tilt_epsilon tor_c_tilt_epsilon_sinca tor_s_tilt_epsilon_sinca pol_c_tilt_epsilon_sinca pol_s_tilt_epsilon_sinca tor_c_tilt_epsilon_cosca tor_s_tilt_epsilon_cosca pol_c_tilt_epsilon_cosca pol_s_tilt_epsilon_cosca tor_c_tau tor_s_tau pol_c_tau pol_s_tau tor_c_tau_sinca tor_s_tau_sinca pol_c_tau_sinca pol_s_tau_sinca tor_c_tau_cosca tor_s_tau_cosca pol_c_tau_cosca pol_s_tau_cosca tor_c_tilt_tau tor_s_tilt_tau pol_c_tilt_tau pol_s_tilt_tau tor_c_tilt_tau_sinca tor_s_tilt_tau_sinca pol_c_tilt_tau_sinca pol_s_tilt_tau_sinca tor_c_tilt_tau_cosca tor_s_tilt_tau_cosca pol_c_tilt_tau_cosca pol_s_tilt_tau_cosca tor_c_f107 tor_s_f107 pol_c_f107 pol_s_f107
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+2  0 -0.4834420        NaN -0.0965780        NaN  0.0295273        NaN -0.0154946        NaN  0.2058621        NaN -0.0012438        NaN  0.1332613        NaN  0.0113228        NaN -0.0090091        NaN  0.0025990        NaN -0.0823928        NaN  0.0500153        NaN -0.0014027        NaN  0.0013761        NaN  0.0085000        NaN -0.0022284        NaN  0.0029571        NaN  0.0044463        NaN -0.0004572        NaN  0.0004946        NaN -0.0066956        NaN  0.0005227        NaN  0.0008687        NaN -0.0008159        NaN  0.0438370        NaN -0.0332202        NaN  0.0057590        NaN  0.0090707        NaN -0.0481690        NaN  0.0292199        NaN -0.0012242        NaN -0.0008920        NaN -0.0031137        NaN  0.0001915        NaN  0.0018430        NaN -0.0005104        NaN -0.0026061        NaN  0.0001504        NaN
+2  1 -0.5113915 -0.3870531 -0.6902706 -0.4179378 -0.1593422 -0.2580951  0.0084988 -0.0611831 -0.0465624  0.0310142 -0.1155481  0.2578796  0.0111613 -0.0180478  0.1403017  0.1512158 -0.3244322  0.0916714  0.0124457  0.0242191  0.0380412 -0.0164471  0.0353490 -0.0397342  0.0113536 -0.0302779 -0.0010071 -0.0005544  0.0023844  0.0052511 -0.0027548 -0.0018017 -0.0011260 -0.0035318  0.0038634  0.0013114 -0.0032659  0.0162365  0.0011585  0.0043522 -0.0009881 -0.0016103 -0.0001223 -0.0009809 -0.0049690 -0.0031897 -0.0018674  0.0033431 -0.0406308 -0.0175178 -0.0118379  0.0281593 -0.1478215  0.0691399  0.0102431  0.0007876  0.0305094  0.0049523  0.0403905 -0.0152786  0.0016001  0.0081008  0.0011495 -0.0021306  0.0002199 -0.0005514  0.0007898  0.0000586 -0.0010064 -0.0015092 -0.0006353  0.0028764  0.0016432  0.0003323  0.0064612  0.0033914
+2  2 -0.2518363  0.2490724  0.1842472 -0.2758261  0.0445129  0.0132987  0.0409231 -0.0472178 -0.0234855 -0.2627219 -0.0755739  0.0331579  0.0617082  0.0372924  0.0124368  0.0547793 -0.0060437 -0.0147544  0.0071007  0.0118740  0.0333828  0.1490179  0.0468561  0.0683729  0.0040655  0.0032996 -0.0020941 -0.0046766 -0.0035871  0.0000717  0.0011351 -0.0004521 -0.0045304 -0.0015338  0.0020719  0.0063787  0.0019355 -0.0055127  0.0014469  0.0005766  0.0028579  0.0017228 -0.0007717 -0.0006831  0.0029751 -0.0008870  0.0024038 -0.0000209 -0.0172083 -0.0362693 -0.0333536 -0.0547636  0.0023040  0.0010162 -0.0048296  0.0006964  0.0307110  0.0630017  0.0360461  0.0602530 -0.0017539  0.0027545 -0.0018715 -0.0003592  0.0006540  0.0006640  0.0002327  0.0006248  0.0006460 -0.0035905  0.0011182 -0.0006344  0.0074160 -0.0075044 -0.0010616 -0.0001509
+3  0 -0.0237592        NaN -0.5097629        NaN  0.0518694        NaN -0.0250115        NaN -0.0188557        NaN -0.1004008        NaN -0.0118728        NaN  0.0062261        NaN -0.1255952        NaN  0.0208148        NaN -0.0013360        NaN  0.0530679        NaN -0.0226761        NaN  0.0023829        NaN  0.0038586        NaN -0.0048996        NaN -0.0049531        NaN  0.0018422        NaN  0.0035586        NaN  0.0002053        NaN -0.0038132        NaN  0.0021584        NaN -0.0012310        NaN -0.0013037        NaN -0.0134638        NaN  0.0064961        NaN -0.0783870        NaN  0.0107239        NaN -0.0082161        NaN  0.0075104        NaN  0.0002761        NaN  0.0009568        NaN  0.0038989        NaN  0.0011414        NaN  0.0008331        NaN -0.0006482        NaN -0.0171860        NaN  0.0050786        NaN
+3  1  0.6722378 -0.0532756  0.0150587  0.0393305  0.0007171 -0.0322473 -0.0517040  0.0172734 -1.0703331  1.0576217  0.0452880  0.0154678 -0.7270917  0.6363983  0.0493189  0.0182134 -0.0141939  0.0225996  0.0123720  0.0740116  0.2138083 -0.3627372  0.0444197  0.0120727  0.0014915  0.0014449 -0.0176519 -0.0082418 -0.0057667  0.0126682  0.0026167  0.0004663 -0.0057667  0.0002492 -0.0045308 -0.0011603 -0.0003247 -0.0008393  0.0062199 -0.0009893  0.0040520 -0.0054664 -0.0006870  0.0000256 -0.0002715  0.0003488  0.0037430  0.0005999 -0.0723413  0.0656245 -0.0479537 -0.0193136 -0.0069920  0.0211966  0.0085928  0.0481541  0.0659200 -0.0843151  0.0449403  0.0224716  0.0007554 -0.0003063 -0.0015883  0.0010168 -0.0014876 -0.0001143  0.0001490 -0.0002530 -0.0015081 -0.0006078  0.0033918 -0.0010216  0.0040222 -0.0010998 -0.0009052 -0.0008701
+3  2  0.3125360  0.0041500  0.6604465  0.2786839  0.0522059 -0.0229003  0.0109430  0.0241227  0.0019513 -0.0120235 -0.0375887  0.0590564  0.0006970  0.0095099 -0.0702829  0.0013828 -0.0143997  0.0131496 -0.0130467 -0.0145463 -0.0125236  0.0121480 -0.0247655  0.0017530  0.0062445  0.0104611  0.0013806 -0.0051191 -0.0011484  0.0010460  0.0008230  0.0027040  0.0023520 -0.0047041 -0.0026119 -0.0000874  0.0032250 -0.0025967 -0.0031987 -0.0025917  0.0000440  0.0001221  0.0000441 -0.0007970 -0.0012516 -0.0000331 -0.0014350 -0.0030221  0.0048409 -0.0032221  0.0156437 -0.0078528 -0.0237047  0.0064340 -0.0028711 -0.0107683 -0.0019226  0.0024766 -0.0303289 -0.0060451  0.0009037  0.0014071  0.0010840  0.0026182  0.0000712  0.0003800  0.0002401 -0.0002941 -0.0011694 -0.0021104 -0.0016107 -0.0026687 -0.0019588  0.0013980 -0.0029942 -0.0028769
+3  3  0.0295859  0.0332433 -0.0547007  0.0306425 -0.0152432  0.0234100 -0.0065001  0.0458634  0.0253041 -0.0074208  0.1070815 -0.0708677  0.0046746 -0.0383515  0.0350868 -0.0801672 -0.0016506 -0.0196323  0.0027505 -0.0142851 -0.0205008 -0.0327676 -0.0039948 -0.0846840 -0.0076326 -0.0019923 -0.0059422  0.0060770  0.0025026 -0.0006010  0.0028083  0.0033838  0.0056866  0.0058365  0.0037469 -0.0036668 -0.0024590  0.0010505 -0.0024511 -0.0019707  0.0001327 -0.0001948  0.0000930 -0.0003868 -0.0041772 -0.0040807 -0.0050172  0.0000481  0.0189024  0.0167874  0.0113717  0.0640084  0.0019765  0.0013840 -0.0010317 -0.0071971 -0.0101646 -0.0229578 -0.0114002 -0.0708474  0.0026660  0.0015861  0.0036437  0.0004162  0.0024710  0.0001314 -0.0007746 -0.0005810 -0.0015794  0.0001297 -0.0034638 -0.0006121 -0.0015210 -0.0006019  0.0000497  0.0007391
+4  0 -0.3425782        NaN  0.1068114        NaN -0.0150833        NaN -0.0023039        NaN  0.2418459        NaN -0.0065768        NaN  0.2405230        NaN -0.0051494        NaN  0.0155106        NaN  0.0005369        NaN -0.0686048        NaN  0.0264271        NaN  0.0024792        NaN -0.0141785        NaN  0.0064141        NaN  0.0005754        NaN  0.0015533        NaN  0.0023537        NaN  0.0029846        NaN  0.0044173        NaN -0.0082904        NaN -0.0001434        NaN -0.0010788        NaN  0.0015180        NaN  0.0538915        NaN -0.0354540        NaN  0.0003602        NaN  0.0102762        NaN -0.0291763        NaN  0.0249585        NaN -0.0007729        NaN -0.0014326        NaN -0.0053225        NaN  0.0000988        NaN -0.0010674        NaN  0.0015274        NaN  0.0007014        NaN -0.0003033        NaN
+4  1  0.3094776  0.0385036  0.3612588  0.2190009 -0.0391109 -0.4785519  0.0324861  0.0565509  0.0449033 -0.0587684  0.0233202 -0.1150174  0.0269462 -0.0483124  0.0390104  0.0098171  0.2603932  0.4007245 -0.0079063 -0.0184796 -0.0214629  0.0048050 -0.0167773  0.0652289 -0.0718103  0.0467359 -0.0025165 -0.0038876 -0.0002867 -0.0015634  0.0039141  0.0021412  0.0050415  0.0092714 -0.0009558 -0.0001709 -0.0000768  0.0120865 -0.0011856 -0.0008326  0.0000782  0.0023313 -0.0011249 -0.0012385 -0.0020520  0.0030865 -0.0002950 -0.0014632 -0.0223701  0.0053826 -0.0036439 -0.0081514  0.0424670  0.1713297 -0.0034261 -0.0117587  0.0061286 -0.0035555  0.0104538  0.0085187  0.0007254 -0.0120009  0.0002390  0.0015372 -0.0009279  0.0011491 -0.0005688 -0.0004055 -0.0041436  0.0071311 -0.0004895 -0.0012370 -0.0029960 -0.0005709 -0.0027025  0.0000573
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+5  0  0.0864013        NaN  0.3781839        NaN  0.0865941        NaN  0.0220195        NaN -0.0331758        NaN -0.3967297        NaN -0.0283277        NaN -0.1359878        NaN -0.1825183        NaN -0.0040304        NaN -0.0067961        NaN  0.1165870        NaN -0.0088410        NaN  0.0029530        NaN -0.0025638        NaN -0.0038021        NaN -0.0013282        NaN  0.0003223        NaN -0.0040845        NaN -0.0006073        NaN  0.0032175        NaN  0.0029580        NaN  0.0004672        NaN  0.0004021        NaN -0.0037552        NaN -0.0464700        NaN -0.1131398        NaN -0.0011431        NaN  0.0068123        NaN  0.0431562        NaN  0.0025328        NaN -0.0007154        NaN -0.0031938        NaN  0.0008415        NaN -0.0028600        NaN  0.0003319        NaN  0.0117595        NaN -0.0003511        NaN
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\ No newline at end of file
diff --git a/pyamps/coefficients/__init__.py b/pyamps/coefficients/__init__.py
index e03af8d..135da67 100644
--- a/pyamps/coefficients/__init__.py
+++ b/pyamps/coefficients/__init__.py
@@ -14,7 +14,8 @@
 MODEL_VECTOR_0104 = os.path.join(_PATH, "model_vector_NT_MT_NV_MV_65_3_45_3__v1.4.npy")
 MODEL_VECTOR_0105 = os.path.join(_PATH, "model_vector_NT_MT_NV_MV_65_3_45_3__v1.5.npy")
 MODEL_VECTOR_0106 = os.path.join(_PATH, "model_vector_NT_MT_NV_MV_65_3_45_3__v1.6.npy")
-MODEL_VECTOR_LATEST = MODEL_VECTOR_0106
+MODEL_VECTOR_0107 = os.path.join(_PATH, "model_vector_NT_MT_NV_MV_65_3_45_3__v1.7.npy")
+MODEL_VECTOR_LATEST = MODEL_VECTOR_0107
 
 MODEL_COEFF_TEST = os.path.join(_PATH, "test_model.txt")
 MODEL_COEFF_0101 = os.path.join(_PATH, "SW_OPER_MIO_SHA_2E_00000000T000000_99999999T999999_0101.txt")
@@ -23,4 +24,5 @@
 MODEL_COEFF_0104 = os.path.join(_PATH, "SW_OPER_MIO_SHA_2E_00000000T000000_99999999T999999_0104.txt")
 MODEL_COEFF_0105 = os.path.join(_PATH, "SW_OPER_MIO_SHA_2E_00000000T000000_99999999T999999_0105.txt")
 MODEL_COEFF_0106 = os.path.join(_PATH, "SW_OPER_MIO_SHA_2E_00000000T000000_99999999T999999_0106.txt")
-MODEL_COEFF_LATEST = MODEL_COEFF_0106
+MODEL_COEFF_0107 = os.path.join(_PATH, "SW_OPER_MIO_SHA_2E_00000000T000000_99999999T999999_0107.txt")
+MODEL_COEFF_LATEST = MODEL_COEFF_0107
diff --git a/pyamps/coefficients/model_vector_NT_MT_NV_MV_65_3_45_3__v1.7.npy b/pyamps/coefficients/model_vector_NT_MT_NV_MV_65_3_45_3__v1.7.npy
new file mode 100644
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