def test_set_width(self):
entity = gpd.read_file(self.rgi_file).iloc[0]
gdir = oggm.GlacierDirectory(entity, base_dir=self.testdir)
gis.define_glacier_region(gdir)
gis.glacier_masks(gdir)
centerlines.compute_centerlines(gdir)
centerlines.initialize_flowlines(gdir)
centerlines.compute_downstream_line(gdir)
centerlines.compute_downstream_bedshape(gdir)
centerlines.catchment_area(gdir)
centerlines.catchment_intersections(gdir)
centerlines.catchment_width_geom(gdir)
centerlines.catchment_width_correction(gdir)
# Test that area and area-altitude elev is fine
with utils.ncDataset(gdir.get_filepath('gridded_data')) as nc:
mask = nc.variables['glacier_mask'][:]
topo = nc.variables['topo_smoothed'][:]
rhgt = topo[np.where(mask)][:]
fls = gdir.read_pickle('inversion_flowlines')
hgt, widths = gdir.get_inversion_flowline_hw()
bs = 100
bins = np.arange(utils.nicenumber(np.min(hgt), bs, lower=True),
utils.nicenumber(np.max(hgt), bs) + 1,
bs)
h1, b = np.histogram(hgt, weights=widths, density=True, bins=bins)
h2, b = np.histogram(rhgt, density=True, bins=bins)
h1 = h1 / np.sum(h1)
h2 = h2 / np.sum(h2)
assert utils.rmsd(h1, h2) < 0.02 # less than 2% error
new_area = np.sum(widths * fls[-1].dx * gdir.grid.dx)
np.testing.assert_allclose(new_area, gdir.rgi_area_m2)
centerlines.terminus_width_correction(gdir, new_width=714)
fls = gdir.read_pickle('inversion_flowlines')
hgt, widths = gdir.get_inversion_flowline_hw()
# Check that the width is ok
np.testing.assert_allclose(fls[-1].widths[-1] * gdir.grid.dx, 714)
# Check for area distrib
bins = np.arange(utils.nicenumber(np.min(hgt), bs, lower=True),
utils.nicenumber(np.max(hgt), bs) + 1,
bs)
h1, b = np.histogram(hgt, weights=widths, density=True, bins=bins)
h2, b = np.histogram(rhgt, density=True, bins=bins)
h1 = h1 / np.sum(h1)
h2 = h2 / np.sum(h2)
assert utils.rmsd(h1, h2) < 0.02 # less than 2% error
new_area = np.sum(widths * fls[-1].dx * gdir.grid.dx)
np.testing.assert_allclose(new_area, gdir.rgi_area_m2)
def test_set_width(self):
entity = gpd.read_file(self.rgi_file).iloc[0]
gdir = oggm.GlacierDirectory(entity, base_dir=self.testdir)
gis.define_glacier_region(gdir, entity=entity)
gis.glacier_masks(gdir)
centerlines.compute_centerlines(gdir)
centerlines.initialize_flowlines(gdir)
centerlines.compute_downstream_line(gdir)
centerlines.compute_downstream_bedshape(gdir)
centerlines.catchment_area(gdir)
centerlines.catchment_intersections(gdir)
centerlines.catchment_width_geom(gdir)
centerlines.catchment_width_correction(gdir)
# Test that area and area-altitude elev is fine
with utils.ncDataset(gdir.get_filepath('gridded_data')) as nc:
mask = nc.variables['glacier_mask'][:]
topo = nc.variables['topo_smoothed'][:]
rhgt = topo[np.where(mask)][:]
fls = gdir.read_pickle('inversion_flowlines')
hgt, widths = gdir.get_inversion_flowline_hw()
bs = 100
bins = np.arange(utils.nicenumber(np.min(hgt), bs, lower=True),
utils.nicenumber(np.max(hgt), bs) + 1,
bs)
h1, b = np.histogram(hgt, weights=widths, density=True, bins=bins)
h2, b = np.histogram(rhgt, density=True, bins=bins)
h1 = h1 / np.sum(h1)
h2 = h2 / np.sum(h2)
assert utils.rmsd(h1, h2) < 0.02 # less than 2% error
new_area = np.sum(widths * fls[-1].dx * gdir.grid.dx)
np.testing.assert_allclose(new_area, gdir.rgi_area_m2)
centerlines.terminus_width_correction(gdir, new_width=714)
fls = gdir.read_pickle('inversion_flowlines')
hgt, widths = gdir.get_inversion_flowline_hw()
# Check that the width is ok
np.testing.assert_allclose(fls[-1].widths[-1] * gdir.grid.dx, 714)
# Check for area distrib
bins = np.arange(utils.nicenumber(np.min(hgt), bs, lower=True),
utils.nicenumber(np.max(hgt), bs) + 1,
bs)
h1, b = np.histogram(hgt, weights=widths, density=True, bins=bins)
h2, b = np.histogram(rhgt, density=True, bins=bins)
h1 = h1 / np.sum(h1)
h2 = h2 / np.sum(h2)
assert utils.rmsd(h1, h2) < 0.02 # less than 2% error
new_area = np.sum(widths * fls[-1].dx * gdir.grid.dx)
np.testing.assert_allclose(new_area, gdir.rgi_area_m2)
