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grid_extractor.py
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Sun, Nov 17, 16:34

grid_extractor.py
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###########################################################################
# #
# Copyright 2017 Andrea Cimatoribus #
# EPFL ENAC IIE ECOL #
# GR A1 435 (Batiment GR) #
# Station 2 #
# CH-1015 Lausanne #
# Andrea.Cimatoribus@epfl.ch #
# #
# Alexandre Serex #
# alexandre.serex@epfl.ch #
# #
# This file is part of ctracker #
# #
# ctracker is free software: you can redistribute it and/or modify it #
# under the terms of the GNU General Public License as published by #
# the Free Software Foundation, either version 3 of the License, or #
# (at your option) any later version. #
# #
# ctracker is distributed in the hope that it will be useful, #
# but WITHOUT ANY WARRANTY; without even the implied warranty #
# of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. #
# See the GNU General Public License for more details. #
# #
# You should have received a copy of the GNU General Public License #
# along with ctracker. If not, see <http://www.gnu.org/licenses/>. #
# #
###########################################################################
import numpy as np
from xmitgcm import open_mdsdataset as mitgcmds
def mitgcm(data):
grid = mitgcm_raw(data)
return {
'xG': grid.XG.to_masked_array().filled(0).astype("float32"),
'yG': grid.YG.to_masked_array().filled(0).astype("float32"),
'dX': grid.dxG.to_masked_array().filled(0).astype("float32"),
'dY': grid.dyG.to_masked_array().filled(0).astype("float32"),
'dxdy': grid.rA.to_masked_array().filled(0).astype("float32"),
# we invert to have at the first position the bottom
'dzt': np.ascontiguousarray((grid.drF * grid.hFacC)
.to_masked_array()
.filled(0)[::-1, :, :]),
'dzu': np.ascontiguousarray((grid.drF *
grid.hFacW * grid.dyG)
.to_masked_array()
.filled(0)[::-1, :, :]),
'dzv': np.ascontiguousarray((grid.drF *
grid.hFacS * grid.dxG)
.to_masked_array()
.filled(0)[::-1, :, :]),
'kmtb': (grid.hFacC.sum(dim="k")).to_masked_array().filled(0),
'CS': grid.CS.to_masked_array().filled(0).astype("float32") \
if data.gcm_geometry == "curvilinear" else np.ones(grid.XG.shape),
'SN': grid.SN.to_masked_array().filled(0).astype("float32") \
if data.gcm_geometry == "curvilinear" else np.zeros(grid.XG.shape),
'grid_zero_volume': grid.hFacC[::-1, :, :] != 0.0
}
def mitgcm_raw(data):
return mitgcmds(data.gcm_directory, read_grid=True,
iters=[], prefix=[
data.u_root,
data.v_root,
data.w_root],
swap_dims=False, geometry=data.gcm_geometry,
ref_date=data.gcm_start, delta_t=data.gcm_dt)

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