From bb1927c60c5ef5d50709a7ee00e90300714d99d5 Mon Sep 17 00:00:00 2001 From: Frank Malatino Date: Fri, 6 Sep 2024 10:18:29 -0400 Subject: [PATCH] Removed examples/generate_eta_files.py --- examples/generate_eta_files.py | 399 --------------------------------- 1 file changed, 399 deletions(-) delete mode 100755 examples/generate_eta_files.py diff --git a/examples/generate_eta_files.py b/examples/generate_eta_files.py deleted file mode 100755 index 1fb4d5ee..00000000 --- a/examples/generate_eta_files.py +++ /dev/null @@ -1,399 +0,0 @@ -import numpy as np -import xarray as xr - - -""" -This notebook uses the python xarray module -to create an eta_file containing ak and bk coefficients -for km=79 and km=91. The coefficients are written out to -eta79.nc and eta91.nc netcdf files respectively - -To run this script: `python3 ./generate_eta_files.py` -""" - -# km = 79 -ak = xr.DataArray( - dims=["km1"], - attrs=dict(units="Pa", _FillValue=False), - data=np.array( - [ - 3.000000e02, - 6.467159e02, - 1.045222e03, - 1.469188e03, - 1.897829e03, - 2.325385e03, - 2.754396e03, - 3.191294e03, - 3.648332e03, - 4.135675e03, - 4.668282e03, - 5.247940e03, - 5.876271e03, - 6.554716e03, - 7.284521e03, - 8.066738e03, - 8.902188e03, - 9.791482e03, - 1.073499e04, - 1.162625e04, - 1.237212e04, - 1.299041e04, - 1.349629e04, - 1.390277e04, - 1.422098e04, - 1.446058e04, - 1.462993e04, - 1.473633e04, - 1.478617e04, - 1.478511e04, - 1.473812e04, - 1.464966e04, - 1.452370e04, - 1.436382e04, - 1.417324e04, - 1.395491e04, - 1.371148e04, - 1.344540e04, - 1.315890e04, - 1.285407e04, - 1.253280e04, - 1.219685e04, - 1.184788e04, - 1.148739e04, - 1.111682e04, - 1.073748e04, - 1.035062e04, - 9.957395e03, - 9.558875e03, - 9.156069e03, - 8.749922e03, - 8.341315e03, - 7.931065e03, - 7.519942e03, - 7.108648e03, - 6.698281e03, - 6.290007e03, - 5.884984e03, - 5.484372e03, - 5.089319e03, - 4.700960e03, - 4.320421e03, - 3.948807e03, - 3.587201e03, - 3.236666e03, - 2.898237e03, - 2.572912e03, - 2.261667e03, - 1.965424e03, - 1.685079e03, - 1.421479e03, - 1.175419e03, - 9.476516e02, - 7.388688e02, - 5.497130e02, - 3.807626e02, - 2.325417e02, - 1.054810e02, - -8.381903e-04, - 0.000000e00, - ] - ), -) -bk = xr.DataArray( - dims=["km1"], - attrs=dict(units="None", _FillValue=False), - data=np.array( - [ - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.00106595, - 0.00412866, - 0.00900663, - 0.01554263, - 0.02359921, - 0.03305481, - 0.0438012, - 0.05574095, - 0.06878554, - 0.08285347, - 0.09786981, - 0.1137643, - 0.130471, - 0.1479275, - 0.1660746, - 0.1848558, - 0.2042166, - 0.2241053, - 0.2444716, - 0.2652672, - 0.286445, - 0.3079604, - 0.3297701, - 0.351832, - 0.3741062, - 0.3965532, - 0.4191364, - 0.4418194, - 0.4645682, - 0.48735, - 0.5101338, - 0.5328897, - 0.5555894, - 0.5782067, - 0.6007158, - 0.6230936, - 0.6452944, - 0.6672683, - 0.6889648, - 0.7103333, - 0.7313231, - 0.7518838, - 0.7719651, - 0.7915173, - 0.8104913, - 0.828839, - 0.846513, - 0.8634676, - 0.8796583, - 0.8950421, - 0.9095779, - 0.9232264, - 0.9359506, - 0.9477157, - 0.9584892, - 0.9682413, - 0.9769447, - 0.9845753, - 0.9911126, - 0.9965372, - 1.0, - ] - ), -) -coefficients = xr.Dataset(data_vars={"ak": ak, "bk": bk}) -coefficients.to_netcdf("eta79.nc") - - -# km = 91 -ak = xr.DataArray( - dims=["km1"], - attrs=dict(units="Pa", _FillValue=False), - data=np.array( - [ - 1.00000000e00, - 1.75000000e00, - 2.75000000e00, - 4.09999990e00, - 5.98951054e00, - 8.62932968e00, - 1.22572632e01, - 1.71510906e01, - 2.36545467e01, - 3.21627693e01, - 4.31310921e01, - 5.71100426e01, - 7.46595764e01, - 9.64470978e01, - 1.23169769e02, - 1.55601318e02, - 1.94594009e02, - 2.41047531e02, - 2.95873840e02, - 3.60046967e02, - 4.34604828e02, - 5.20628723e02, - 6.19154846e02, - 7.31296021e02, - 8.58240906e02, - 1.00106561e03, - 1.16092859e03, - 1.33903992e03, - 1.53650012e03, - 1.75448938e03, - 1.99417834e03, - 2.25667407e03, - 2.54317139e03, - 2.85476392e03, - 3.19258569e03, - 3.55775366e03, - 3.95135107e03, - 4.37428662e03, - 4.82711084e03, - 5.31022168e03, - 5.82387793e03, - 6.36904248e03, - 6.94875244e03, - 7.56691992e03, - 8.22634277e03, - 8.93120996e03, - 9.68446191e03, - 1.04822725e04, - 1.13182793e04, - 1.21840771e04, - 1.30655674e04, - 1.39532207e04, - 1.48307285e04, - 1.56872617e04, - 1.65080645e04, - 1.72810996e04, - 1.79942988e04, - 1.86363223e04, - 1.91961797e04, - 1.96640723e04, - 2.00301914e04, - 2.02853691e04, - 2.04215254e04, - 2.04300684e04, - 2.03028730e04, - 2.00323711e04, - 1.96110664e04, - 1.90313848e04, - 1.82866426e04, - 1.73777930e04, - 1.63224639e04, - 1.51444033e04, - 1.38725674e04, - 1.25404785e04, - 1.11834170e04, - 9.83532715e03, - 8.52630664e03, - 7.28224512e03, - 6.12326074e03, - 5.06350684e03, - 4.11124902e03, - 3.27000122e03, - 2.53922729e03, - 1.91530762e03, - 1.39244995e03, - 9.63134766e02, - 6.20599365e02, - 3.57989502e02, - 1.69421387e02, - 5.10314941e01, - 2.48413086e00, - 0.00000000e00, - ] - ), -) -bk = xr.DataArray( - dims=["km1"], - attrs=dict(units="None", _FillValue=False), - data=np.array( - [ - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 0.00000000e00, - 3.50123992e-06, - 2.81484008e-05, - 9.38666999e-05, - 2.28561999e-04, - 5.12343016e-04, - 1.04712998e-03, - 1.95625005e-03, - 3.42317997e-03, - 5.58632007e-03, - 8.65428988e-03, - 1.27844000e-02, - 1.81719996e-02, - 2.49934997e-02, - 3.34198996e-02, - 4.36249003e-02, - 5.57769015e-02, - 7.00351968e-02, - 8.65636021e-02, - 1.05520003e-01, - 1.27051994e-01, - 1.51319996e-01, - 1.78477004e-01, - 2.08675995e-01, - 2.42069006e-01, - 2.78813988e-01, - 3.19043010e-01, - 3.62558991e-01, - 4.08596009e-01, - 4.56384987e-01, - 5.05111992e-01, - 5.53902984e-01, - 6.01903021e-01, - 6.48333013e-01, - 6.92534983e-01, - 7.33981013e-01, - 7.72292018e-01, - 8.07236016e-01, - 8.38724971e-01, - 8.66774976e-01, - 8.91497016e-01, - 9.13065016e-01, - 9.31702971e-01, - 9.47658002e-01, - 9.61175978e-01, - 9.72495019e-01, - 9.81844008e-01, - 9.89410996e-01, - 9.95342016e-01, - 1.00000000e00, - ] - ), -) -coefficients = xr.Dataset(data_vars={"ak": ak, "bk": bk}) -coefficients.to_netcdf("eta91.nc") - -# km =