def test_set_one_pass(self):
"""Test _tc_from_track function."""
intensity_idx = [0, 1, 2, 3, 80, 100, 120, 200, 220, 250, 260, 295]
intensity_values = {
"geosphere": [25.60794285, 26.90906280, 28.26649026, 25.54076797, 31.21986961,
36.17171808, 21.11408573, 28.01457948, 32.65349378, 31.34027741, 0,
40.27362679],
"equirect": [25.60778909, 26.90887264, 28.26624642, 25.54092386, 31.21941738,
36.16596567, 21.11399856, 28.01452136, 32.65076804, 31.33884098, 0,
40.27002104]
}
# the values for the two metrics should agree up to first digit at least
for i, val in enumerate(intensity_values["geosphere"]):
self.assertAlmostEqual(intensity_values["equirect"][i], val, 1)
tc_track = TCTracks()
tc_track.read_processed_ibtracs_csv(TEST_TRACK)
tc_track.equal_timestep()
tc_track.data = tc_track.data[:1]
for metric in ["equirect", "geosphere"]:
tc_haz = TropCyclone()
tc_haz.set_from_tracks(tc_track, centroids=CENTR_TEST_BRB, model='H08',
store_windfields=True, metric=metric)
self.assertEqual(tc_haz.tag.haz_type, 'TC')
self.assertEqual(tc_haz.tag.description, '')
self.assertEqual(tc_haz.tag.file_name, 'Name: 1951239N12334')
self.assertEqual(tc_haz.units, 'm/s')
self.assertEqual(tc_haz.centroids.size, 296)
self.assertEqual(tc_haz.event_id.size, 1)
self.assertEqual(tc_haz.date.size, 1)
self.assertEqual(dt.datetime.fromordinal(tc_haz.date[0]).year, 1951)
self.assertEqual(dt.datetime.fromordinal(tc_haz.date[0]).month, 8)
self.assertEqual(dt.datetime.fromordinal(tc_haz.date[0]).day, 27)
self.assertEqual(tc_haz.event_id[0], 1)
self.assertEqual(tc_haz.event_name, ['1951239N12334'])
self.assertTrue(np.array_equal(tc_haz.frequency, np.array([1])))
self.assertTrue(isinstance(tc_haz.fraction, sparse.csr.csr_matrix))
self.assertEqual(tc_haz.fraction.shape, (1, 296))
self.assertEqual(tc_haz.fraction[0, 100], 1)
self.assertEqual(tc_haz.fraction[0, 260], 0)
self.assertEqual(tc_haz.fraction.nonzero()[0].size, 280)
self.assertTrue(isinstance(tc_haz.intensity, sparse.csr.csr_matrix))
self.assertEqual(tc_haz.intensity.shape, (1, 296))
self.assertEqual(np.nonzero(tc_haz.intensity)[0].size, 280)
for idx, val in zip(intensity_idx, intensity_values[metric]):
if val == 0:
self.assertEqual(tc_haz.intensity[0, idx], 0)
else:
self.assertAlmostEqual(tc_haz.intensity[0, idx], val)
windfields = tc_haz.windfields[0].toarray()
windfields = windfields.reshape(windfields.shape[0], -1, 2)
windfield_norms = np.linalg.norm(windfields, axis=-1).max(axis=0)
intensity = tc_haz.intensity.toarray()[0, :]
msk = (intensity > 0)
np.testing.assert_array_equal(windfield_norms[msk], intensity[msk])
def test_set_one_pass(self):
"""Test _tc_from_track function."""
tc_track = TCTracks()
tc_track.read_processed_ibtracs_csv(TEST_TRACK)
tc_track.equal_timestep()
tc_track.data = tc_track.data[:1]
tc_haz = TropCyclone()
tc_haz.set_from_tracks(tc_track,
centroids=CENTR_TEST_BRB,
model='H08',
store_windfields=True)
self.assertEqual(tc_haz.tag.haz_type, 'TC')
self.assertEqual(tc_haz.tag.description, '')
self.assertEqual(tc_haz.tag.file_name, 'Name: 1951239N12334')
self.assertEqual(tc_haz.units, 'm/s')
self.assertEqual(tc_haz.centroids.size, 296)
self.assertEqual(tc_haz.event_id.size, 1)
self.assertEqual(tc_haz.date.size, 1)
self.assertEqual(dt.datetime.fromordinal(tc_haz.date[0]).year, 1951)
self.assertEqual(dt.datetime.fromordinal(tc_haz.date[0]).month, 8)
self.assertEqual(dt.datetime.fromordinal(tc_haz.date[0]).day, 27)
self.assertEqual(tc_haz.event_id[0], 1)
self.assertEqual(tc_haz.event_name, ['1951239N12334'])
self.assertTrue(np.array_equal(tc_haz.frequency, np.array([1])))
self.assertTrue(isinstance(tc_haz.fraction, sparse.csr.csr_matrix))
self.assertEqual(tc_haz.fraction.shape, (1, 296))
self.assertEqual(tc_haz.fraction[0, 100], 1)
self.assertEqual(tc_haz.fraction[0, 260], 0)
self.assertEqual(tc_haz.fraction.nonzero()[0].size, 280)
self.assertTrue(isinstance(tc_haz.intensity, sparse.csr.csr_matrix))
self.assertEqual(tc_haz.intensity.shape, (1, 296))
self.assertEqual(np.nonzero(tc_haz.intensity)[0].size, 280)
self.assertEqual(tc_haz.intensity[0, 260], 0)
self.assertAlmostEqual(tc_haz.intensity[0, 1], 27.08333002)
self.assertAlmostEqual(tc_haz.intensity[0, 2], 28.46008202)
self.assertAlmostEqual(tc_haz.intensity[0, 3], 25.70445069)
self.assertAlmostEqual(tc_haz.intensity[0, 100], 36.45564037)
self.assertAlmostEqual(tc_haz.intensity[0, 250], 31.60115745)
self.assertAlmostEqual(tc_haz.intensity[0, 295], 40.62433745)
to_kn = (1.0 * ureg.meter / ureg.second).to(ureg.knot).magnitude
wind = tc_haz.intensity.toarray()[0, :]
self.assertAlmostEqual(wind[0] * to_kn, 50.08492156)
self.assertAlmostEqual(wind[80] * to_kn, 61.13812028)
self.assertAlmostEqual(wind[120] * to_kn, 41.26159439)
self.assertAlmostEqual(wind[200] * to_kn, 54.85572160)
self.assertAlmostEqual(wind[220] * to_kn, 63.99749424)
windfields = tc_haz.windfields[0].toarray()
windfields = windfields.reshape(windfields.shape[0], -1, 2)
windfield_norms = np.linalg.norm(windfields, axis=-1).max(axis=0)
intensity = tc_haz.intensity.toarray()[0, :]
msk = (intensity > 0)
self.assertTrue(np.allclose(windfield_norms[msk], intensity[msk]))
def test_windfield_models(self):
"""Test _tc_from_track function with different wind field models."""
intensity_idx = [0, 1, 2, 3, 80, 100, 120, 200, 220, 250, 260, 295]
intensity_values = {
"H08": [
25.60778909, 26.90887264, 28.26624642, 25.54092386,
31.21941738, 36.16596567, 21.11399856, 28.01452136,
32.65076804, 31.33884098, 0, 40.27002104
],
"H10": [
27.477252, 28.626236, 29.829914, 27.393616, 32.495186,
37.113324, 23.573216, 29.552127, 33.767067, 32.530964,
19.656737, 41.014578
],
# Holland 1980 is the only model that uses recorded wind speeds, while the above use
# pressure values only. That's why the results for Holland 1980 are so different:
"H1980": [
20.291397, 22.678914, 25.428598, 20.44718, 31.868592,
41.920317, 0, 25.715983, 38.351686, 35.591153, 0, 46.873912
],
}
tc_track = TCTracks()
tc_track.read_processed_ibtracs_csv(TEST_TRACK)
tc_track.equal_timestep()
tc_track.data = tc_track.data[:1]
for model in ["H08", "H10", "H1980"]:
tc_haz = TropCyclone()
tc_haz.set_from_tracks(tc_track,
centroids=CENTR_TEST_BRB,
model=model)
np.testing.assert_array_almost_equal(
tc_haz.intensity[0, intensity_idx].toarray()[0],
intensity_values[model])
for idx, val in zip(intensity_idx, intensity_values[model]):
if val == 0:
self.assertEqual(tc_haz.intensity[0, idx], 0)
