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Interpolate hybrid-height data onto a finer grid to make a big cube for performance testing.
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# Script to make bigger hybrid-height data. | |
# E.G. "$ python expanded_hybrid_height.py 5" | |
import datetime | |
import sys | |
import numpy as np | |
import iris | |
from iris.aux_factory import HybridHeightFactory | |
from iris.cube import Cube | |
from iris.coords import AuxCoord, DimCoord | |
from iris.analysis import Linear | |
import iris.tests.stock as istk | |
if __name__ == '__main__': | |
if len(sys.argv) > 1: | |
n_times = int(sys.argv[1]) | |
else: | |
n_times = 1 | |
print 'Expansion factor : {n} * {n}'.format(n=n_times) | |
cube = istk.realistic_4d() | |
shape = cube.shape[-2:] | |
shape = list(n_times * np.array(shape)) | |
grid = Cube(np.zeros(shape, dtype=np.int8)) | |
def co_expand(axis_name): | |
co = cube.coord(axis=axis_name) | |
x0, x1, nx = co.points[0], co.points[-1], co.shape[0] | |
co_expanded = DimCoord( | |
np.linspace(x0, x1, nx * n_times), | |
standard_name=co.standard_name, units=co.units, | |
coord_system=co.coord_system) | |
return co_expanded | |
co_x = co_expand('x') | |
co_y = co_expand('y') | |
grid.add_dim_coord(co_y, 0) | |
grid.add_dim_coord(co_x, 1) | |
co_orog = cube.coord('surface_altitude') | |
orog = Cube(co_orog.points, units=co_orog.units) | |
orog.add_dim_coord(cube.coord(axis='y'), 0) | |
orog.add_dim_coord(cube.coord(axis='x'), 1) | |
cube.remove_coord(co_orog) | |
cube.remove_aux_factory(cube.aux_factories[0]) | |
big_cube = cube.regrid(grid, Linear()) | |
big_orog = orog.regrid(grid, Linear()) | |
big_co_orog = AuxCoord(big_orog.data, standard_name='surface_altitude', units=co_orog.units) | |
ndims = len(big_cube.shape) | |
big_cube.add_aux_coord(big_co_orog, (ndims-2, ndims-1)) | |
big_cube.add_aux_factory( | |
HybridHeightFactory( | |
delta=big_cube.coord('level_height'), | |
sigma=big_cube.coord('sigma'), | |
orography=big_co_orog)) | |
print big_cube | |
print 'orog shape = ', big_cube.coord('surface_altitude').shape | |
file_path = 'big_hybrid_height_cube.nc' | |
print 'save to : ', file_path | |
iris.FUTURE.netcdf_no_unlimited = True | |
iris.save(big_cube, file_path) |
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