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# (C) Copyright 2024 ECMWF. | ||
# | ||
# This software is licensed under the terms of the Apache Licence Version 2.0 | ||
# which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. | ||
# In applying this licence, ECMWF does not waive the privileges and immunities | ||
# granted to it by virtue of its status as an intergovernmental organisation | ||
# nor does it submit to any jurisdiction. | ||
# | ||
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from collections import defaultdict | ||
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import numpy as np | ||
from climetlab.indexing.fieldset import FieldArray | ||
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def normalise(x): | ||
return max(min(x, 1.0), -1.0) | ||
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def normalise_longitude(lon, minimum): | ||
while lon < minimum: | ||
lon += 360 | ||
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while lon >= minimum + 360: | ||
lon -= 360 | ||
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return lon | ||
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def rotate_winds( | ||
lats, | ||
lons, | ||
raw_lats, | ||
raw_lons, | ||
x_wind, | ||
y_wind, | ||
south_pole_latitude, | ||
south_pole_longitude, | ||
south_pole_rotation_angle=0, | ||
): | ||
# Code from MIR | ||
assert south_pole_rotation_angle == 0 | ||
C = np.deg2rad(90 - south_pole_latitude) | ||
cos_C = np.cos(C) | ||
sin_C = np.sin(C) | ||
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new_x = np.zeros_like(x_wind) | ||
new_y = np.zeros_like(y_wind) | ||
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for i, (vx, vy, lat, lon, raw_lat, raw_lon) in enumerate( | ||
zip(x_wind, y_wind, lats, lons, raw_lats, raw_lons) | ||
): | ||
lonRotated = south_pole_longitude - lon | ||
lon_rotated = normalise_longitude(lonRotated, -180) | ||
lon_unrotated = raw_lon | ||
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a = np.deg2rad(lon_rotated) | ||
b = np.deg2rad(lon_unrotated) | ||
q = 1 if (sin_C * lon_rotated < 0.0) else -1.0 # correct quadrant | ||
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cos_c = normalise(np.cos(a) * np.cos(b) + np.sin(a) * np.sin(b) * cos_C) | ||
sin_c = q * np.sqrt(1.0 - cos_c * cos_c) | ||
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new_x[i] = cos_c * vx + sin_c * vy | ||
new_y[i] = -sin_c * vx + cos_c * vy | ||
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return new_x, new_y | ||
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class NewDataField: | ||
def __init__(self, field, data): | ||
self.field = field | ||
self.data = data | ||
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def to_numpy(self, *args, **kwargs): | ||
return self.data | ||
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def __getattr__(self, name): | ||
return getattr(self.field, name) | ||
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def execute(context, input, x_wind, y_wind): | ||
""" | ||
Unrotate the wind components of a GRIB file. | ||
""" | ||
result = FieldArray() | ||
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wind_params = (x_wind, y_wind) | ||
wind_pairs = defaultdict(dict) | ||
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for f in input: | ||
key = f.as_mars() | ||
param = key.pop("param") | ||
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if param not in wind_params: | ||
result.append(f) | ||
continue | ||
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key = tuple(key.items()) | ||
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if param in wind_pairs[key]: | ||
raise ValueError(f"Duplicate wind component {param} for {key}") | ||
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wind_pairs[key][param] = f | ||
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for _, pairs in wind_pairs.items(): | ||
if len(pairs) != 2: | ||
raise ValueError("Missing wind component") | ||
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x = pairs[x_wind] | ||
y = pairs[y_wind] | ||
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lats, lons = x.grid_points() | ||
raw_lats, raw_longs = x.grid_points_raw() | ||
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assert x.rotation == y.rotation | ||
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x_new, y_new = rotate_winds( | ||
lats, | ||
lons, | ||
raw_lats, | ||
raw_longs, | ||
x.to_numpy(reshape=False), | ||
y.to_numpy(reshape=False), | ||
*x.rotation, | ||
) | ||
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result.append(NewDataField(x, x_new)) | ||
result.append(NewDataField(y, y_new)) | ||
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return result | ||
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if __name__ == "__main__": | ||
from climetlab import load_source | ||
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source = load_source( | ||
"mars", | ||
date=-1, | ||
param="10u/10v", | ||
levtype="sfc", | ||
grid=[1, 1], | ||
area=[28, 0, -14, 40], | ||
rotation=[-22, -40], | ||
) | ||
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source.save("source.grib") | ||
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execute(None, source, "10u", "10v") |