def test_geogrid_simulator():
from salem.wrftools import geogrid_simulator
g, maps = geogrid_simulator(get_demo_file('namelist_mercator.wps'),
do_maps=True)
assert len(g) == 4
fig, axs = plt.subplots(2, 2)
axs = np.asarray(axs).flatten()
for i, (m, ax) in enumerate(zip(maps, axs)):
m.set_rgb(natural_earth='lr')
m.plot(ax=ax)
return fig
def test_geogrid_simulator():
from salem.wrftools import geogrid_simulator
g, maps = geogrid_simulator(get_demo_file('namelist_mercator.wps'),
do_maps=True)
assert len(g) == 4
fig, axs = plt.subplots(2, 2)
axs = np.asarray(axs).flatten()
for i, (m, ax) in enumerate(zip(maps, axs)):
m.set_rgb(natural_earth='lr')
m.plot(ax=ax)
return fig
def test_polar(self):
from salem.wrftools import geogrid_simulator
g, m = geogrid_simulator(get_demo_file('namelist_polar.wps'))
assert len(g) == 2
for i in [1, 2]:
fg = get_demo_file('geo_em_d0{}_polarstereo.nc'.format(i))
ds = netCDF4.Dataset(fg)
lon, lat = g[i - 1].ll_coordinates
assert_allclose(lon, ds['XLONG_M'][0, ...], atol=5e-3)
assert_allclose(lat, ds['XLAT_M'][0, ...], atol=5e-3)
def test_lambert_tuto(self):
from salem.wrftools import geogrid_simulator
g, m = geogrid_simulator(get_demo_file('namelist_tutorial.wps'))
assert len(g) == 1
fg = get_demo_file('geo_em.d01_tutorial.nc')
with netCDF4.Dataset(fg) as nc:
nc.set_auto_mask(False)
lon, lat = g[0].ll_coordinates
assert_allclose(lon, nc['XLONG_M'][0, ...], atol=1e-4)
assert_allclose(lat, nc['XLAT_M'][0, ...], atol=1e-4)
def test_mercator(self):
from salem.wrftools import geogrid_simulator
g, m = geogrid_simulator(get_demo_file("namelist_mercator.wps"))
assert len(g) == 4
for i in [1, 2, 3, 4]:
fg = get_demo_file("geo_em_d0{}_mercator.nc".format(i))
ds = netCDF4.Dataset(fg)
lon, lat = g[i - 1].ll_coordinates
assert_allclose(lon, ds["XLONG_M"][0, ...], atol=1e-4)
assert_allclose(lat, ds["XLAT_M"][0, ...], atol=1e-4)
def test_mercator(self):
from salem.wrftools import geogrid_simulator
g, m = geogrid_simulator(get_demo_file('namelist_mercator.wps'))
assert len(g) == 4
for i in [1, 2, 3, 4]:
fg = get_demo_file('geo_em_d0{}_mercator.nc'.format(i))
with netCDF4.Dataset(fg) as nc:
nc.set_auto_mask(False)
lon, lat = g[i - 1].ll_coordinates
assert_allclose(lon, nc['XLONG_M'][0, ...], atol=1e-4)
assert_allclose(lat, nc['XLAT_M'][0, ...], atol=1e-4)