def test_calculate_spectral_width(drizzle_cat_file):
obj = drizzle.SpectralWidth(drizzle_cat_file)
width = netCDF4.Dataset(drizzle_cat_file).variables["width"][:]
v_sigma = netCDF4.Dataset(drizzle_cat_file).variables["v_sigma"][:]
factor = obj._calc_v_sigma_factor()
expected = width - factor * v_sigma
testing.assert_almost_equal(obj._calculate_spectral_width(), expected)
def test_calculate_spectral_width(drizzle_cat_file):
obj = drizzle.SpectralWidth(drizzle_cat_file)
width = netCDF4.Dataset(drizzle_cat_file).variables['width'][:]
v_sigma = netCDF4.Dataset(drizzle_cat_file).variables['v_sigma'][:]
factor = obj._calc_v_sigma_factor()
compare = width - factor * v_sigma
testing.assert_almost_equal(obj._calculate_spectral_width(), compare)
def test_calc_v_sigma_factor(drizzle_cat_file):
obj = drizzle.SpectralWidth(drizzle_cat_file)
height = netCDF4.Dataset(drizzle_cat_file).variables["height"][:]
uwind = netCDF4.Dataset(drizzle_cat_file).variables["uwind"][:]
vwind = netCDF4.Dataset(drizzle_cat_file).variables["vwind"][:]
beam = height * np.deg2rad(0.5)
wind = utils.l2norm(uwind, vwind)
a_wind = (wind + beam)**(2 / 3)
s_wind = (30 * wind + beam)**(2 / 3)
expected = a_wind / (s_wind - a_wind)
testing.assert_array_almost_equal(obj._calc_v_sigma_factor(), expected)
def class_objects(drizzle_source_file, drizzle_cat_file):
drizzle_source = drizzle.DrizzleSource(drizzle_source_file)
drizzle_class = drizzle.DrizzleClassification(drizzle_cat_file)
spectral_w = drizzle.SpectralWidth(drizzle_cat_file)
return [drizzle_source, drizzle_class, spectral_w]
def test_calc_horizontal_wind(drizzle_cat_file):
obj = drizzle.SpectralWidth(drizzle_cat_file)
uwind = netCDF4.Dataset(drizzle_cat_file).variables["uwind"][:]
vwind = netCDF4.Dataset(drizzle_cat_file).variables["vwind"][:]
expected = utils.l2norm(uwind, vwind)
testing.assert_array_almost_equal(obj._calc_horizontal_wind(), expected)
def test_calc_beam_divergence(drizzle_cat_file):
obj = drizzle.SpectralWidth(drizzle_cat_file)
height = netCDF4.Dataset(drizzle_cat_file).variables["height"][:]
expected = height * np.deg2rad(0.5)
testing.assert_almost_equal(obj._calc_beam_divergence(), expected)
