def test_gust_from_track(self):
""" Test gust_from_track function. Compare to MATLAB reference. """
tc_track = TCTracks()
tc_track.read_processed_ibtracs_csv(TEST_TRACK_SHORT)
tc_track.equal_timestep()
intensity = tc.gust_from_track(tc_track.data[0], CENT_CLB, model='H08')
self.assertTrue(isinstance(intensity, sparse.csr.csr_matrix))
self.assertEqual(intensity.shape, (1, 1656093))
self.assertEqual(np.nonzero(intensity)[0].size, 7)
self.assertEqual(intensity[0, 1630273], 0)
self.assertAlmostEqual(intensity[0, 1630272], 18.505998796740347, 5)
self.assertTrue(np.isclose(18.505998796740347, intensity[0, 1630272]))
self.assertAlmostEqual(intensity[0, 1630393], 18.511077471450232, 6)
self.assertTrue(np.isclose(18.511077471450232, intensity[0, 1630393]))
self.assertAlmostEqual(intensity[0, 1630514], 18.297250626663271, 5)
self.assertTrue(np.isclose(18.297250626663271, intensity[0, 1630514]))
self.assertAlmostEqual(intensity[0, 1630635], 17.733240401598668, 6)
self.assertTrue(np.isclose(17.733240401598668, intensity[0, 1630635]))
self.assertAlmostEqual(intensity[0, 1630877], 17.525880201507256, 6)
self.assertTrue(np.isclose(17.525880201507256, intensity[0, 1630877]))
def test_read_pass(self):
"""Read a tropical cyclone."""
tc_track = TCTracks()
tc_track.read_processed_ibtracs_csv(TEST_TRACK)
self.assertEqual(tc_track.data[0].time.size, 38)
self.assertEqual(tc_track.data[0].lon[11], -39.60)
self.assertEqual(tc_track.data[0].lat[23], 14.10)
self.assertEqual(tc_track.data[0].time_step[7], 6)
self.assertEqual(np.max(tc_track.data[0].radius_max_wind), 0)
self.assertEqual(np.min(tc_track.data[0].radius_max_wind), 0)
self.assertEqual(tc_track.data[0].max_sustained_wind[21], 55)
self.assertEqual(tc_track.data[0].central_pressure[29], 969.76880)
self.assertEqual(np.max(tc_track.data[0].environmental_pressure), 1010)
self.assertEqual(np.min(tc_track.data[0].environmental_pressure), 1010)
self.assertEqual(tc_track.data[0].time.dt.year[13], 1951)
self.assertEqual(tc_track.data[0].time.dt.month[26], 9)
self.assertEqual(tc_track.data[0].time.dt.day[7], 29)
self.assertEqual(tc_track.data[0].max_sustained_wind_unit, 'kn')
self.assertEqual(tc_track.data[0].central_pressure_unit, 'mb')
self.assertEqual(tc_track.data[0].orig_event_flag, 1)
self.assertEqual(tc_track.data[0].name, '1951239N12334')
self.assertEqual(tc_track.data[0].sid, '1951239N12334')
self.assertEqual(tc_track.data[0].id_no, 1951239012334)
self.assertEqual(tc_track.data[0].data_provider, 'hurdat_atl')
self.assertTrue(np.isnan(tc_track.data[0].basin))
self.assertEqual(tc_track.data[0].id_no, 1951239012334)
self.assertEqual(tc_track.data[0].category, 1)
def test_set_one_file_pass(self):
"""Test set function set_from_tracks with one input."""
tc_track = TCTracks()
tc_track.read_processed_ibtracs_csv(TEST_TRACK_SHORT)
tc_haz = TCRain()
tc_haz.set_from_tracks(tc_track, CENTR_TEST_BRB)
tc_haz.check()
self.assertEqual(tc_haz.tag.haz_type, 'TR')
self.assertEqual(tc_haz.tag.description, '')
self.assertEqual(tc_haz.tag.file_name, 'IBTrACS: 1951239N12334')
self.assertEqual(tc_haz.units, 'mm')
self.assertEqual(tc_haz.centroids.size, 296)
self.assertEqual(tc_haz.event_id.size, 1)
self.assertEqual(tc_haz.event_id[0], 1)
self.assertEqual(tc_haz.event_name, ['1951239N12334'])
self.assertEqual(tc_haz.category, tc_track.data[0].category)
self.assertEqual(tc_haz.basin[0], "NA")
self.assertIsInstance(tc_haz.basin, list)
self.assertIsInstance(tc_haz.category, np.ndarray)
self.assertTrue(np.array_equal(tc_haz.frequency, np.array([1])))
self.assertTrue(isinstance(tc_haz.intensity, sparse.csr.csr_matrix))
self.assertTrue(isinstance(tc_haz.fraction, sparse.csr.csr_matrix))
self.assertEqual(tc_haz.intensity.shape, (1, 296))
self.assertEqual(tc_haz.fraction.shape, (1, 296))
self.assertEqual(tc_haz.fraction.nonzero()[0].size, 0)
self.assertEqual(tc_haz.intensity.nonzero()[0].size, 0)
def test_decay_values_andrew_pass(self):
""" Test _decay_values with central pressure function."""
tc_track = TCTracks()
tc_track.read_processed_ibtracs_csv(TC_ANDREW_FL)
s_rel = False
land_geom = tc._calc_land_geom(tc_track.data)
tc._track_land_params(tc_track.data[0], land_geom)
v_lf, p_lf, x_val = tc._decay_values(tc_track.data[0], land_geom, s_rel)
ss_category = 6
s_cell_1 = 1*[1.0149413347244263]
s_cell_2 = 8*[1.047120451927185]
s_cell = s_cell_1 + s_cell_2
p_vs_lf_time_relative = [1.0149413020277482, 1.018848167539267, 1.037696335078534, \
1.0418848167539267, 1.043979057591623, 1.0450261780104713, \
1.0460732984293193, 1.0471204188481675, 1.0471204188481675]
self.assertEqual(list(p_lf.keys()), [ss_category])
self.assertEqual(p_lf[ss_category][0], array.array('f', s_cell))
self.assertEqual(p_lf[ss_category][1], array.array('f', p_vs_lf_time_relative))
v_vs_lf_time_relative = [0.8846153846153846, 0.6666666666666666, 0.4166666666666667, \
0.2916666666666667, 0.250000000000000, 0.250000000000000, \
0.20833333333333334, 0.16666666666666666, 0.16666666666666666]
self.assertEqual(list(v_lf.keys()), [ss_category])
self.assertEqual(v_lf[ss_category], array.array('f', v_vs_lf_time_relative))
x_val_ref = np.array([95.9512939453125, 53.624916076660156, 143.09530639648438,
225.0262908935547, 312.5832824707031, 427.43109130859375,
570.1857299804688, 750.3827514648438, 1020.5431518554688])
self.assertEqual(list(x_val.keys()), [ss_category])
self.assertTrue(np.allclose(x_val[ss_category], x_val_ref))
def test_set_one_pass(self):
"""Test _hazard_from_track function."""
tc_track = TCTracks()
tc_track.read_processed_ibtracs_csv(TEST_TRACK_SHORT)
tc_track.equal_timestep()
coastal_centr = tc.coastal_centr_idx(CENT_CLB)
tc_haz = TropCyclone._tc_from_track(tc_track.data[0], CENT_CLB,
coastal_centr)
self.assertEqual(tc_haz.tag.haz_type, 'TC')
self.assertEqual(tc_haz.tag.description, '')
self.assertEqual(tc_haz.tag.file_name, 'IBTrACS: 1951239N12334')
self.assertEqual(tc_haz.units, 'm/s')
self.assertEqual(tc_haz.centroids.size, 1656093)
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.intensity, sparse.csr.csr_matrix))
self.assertTrue(isinstance(tc_haz.fraction, sparse.csr.csr_matrix))
self.assertEqual(tc_haz.intensity.shape, (1, 1656093))
self.assertEqual(tc_haz.fraction.shape, (1, 1656093))
self.assertAlmostEqual(tc_haz.intensity[0, 1630393],
18.511077471450232, 6)
self.assertEqual(tc_haz.intensity[0, 1630394], 0)
self.assertEqual(tc_haz.fraction[0, 1630393], 1)
self.assertEqual(tc_haz.fraction[0, 1630394], 0)
self.assertEqual(tc_haz.fraction.nonzero()[0].size, 7)
self.assertEqual(tc_haz.intensity.nonzero()[0].size, 7)
def test_set_one_file_pass(self):
""" Test set function set_from_tracks with one input."""
pool = Pool()
tc_track = TCTracks(pool)
tc_track.read_processed_ibtracs_csv(TEST_TRACK)
tc_track.calc_random_walk()
tc_track.equal_timestep()
tc_haz = TropCyclone(pool)
tc_haz.set_from_tracks(tc_track, CENTR_TEST_BRB)
tc_haz.check()
pool.close()
pool.join()
self.assertEqual(tc_haz.tag.haz_type, 'TC')
self.assertEqual(tc_haz.tag.description, '')
self.assertEqual(tc_haz.units, 'm/s')
self.assertEqual(tc_haz.centroids.size, 296)
self.assertEqual(tc_haz.event_id.size, 10)
self.assertTrue(isinstance(tc_haz.intensity, sparse.csr.csr_matrix))
self.assertTrue(isinstance(tc_haz.fraction, sparse.csr.csr_matrix))
self.assertEqual(tc_haz.intensity.shape, (10, 296))
self.assertEqual(tc_haz.fraction.shape, (10, 296))
def test_two_files_pass(self):
"""Test set function set_from_tracks with two ibtracs."""
tc_track = TCTracks()
tc_track.read_processed_ibtracs_csv(
[TEST_TRACK_SHORT, TEST_TRACK_SHORT])
tc_haz = TCRain()
tc_haz.set_from_tracks(tc_track, CENTR_TEST_BRB)
tc_haz.remove_duplicates()
tc_haz.check()
self.assertEqual(tc_haz.tag.haz_type, 'TR')
self.assertEqual(tc_haz.tag.description, '')
self.assertEqual(tc_haz.tag.file_name,
['IBTrACS: 1951239N12334', 'IBTrACS: 1951239N12334'])
self.assertEqual(tc_haz.units, 'mm')
self.assertEqual(tc_haz.centroids.size, 296)
self.assertEqual(tc_haz.event_id.size, 1)
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(np.array_equal(tc_haz.orig, np.array([True])))
self.assertTrue(isinstance(tc_haz.intensity, sparse.csr.csr_matrix))
self.assertTrue(isinstance(tc_haz.fraction, sparse.csr.csr_matrix))
self.assertEqual(tc_haz.intensity.shape, (1, 296))
self.assertEqual(tc_haz.fraction.shape, (1, 296))
self.assertEqual(tc_haz.fraction.nonzero()[0].size, 0)
self.assertEqual(tc_haz.intensity.nonzero()[0].size, 0)
def test_random_no_landfall_pass(self):
""" Test calc_random_walk with decay and no historical tracks with landfall """
tc_track = TCTracks()
tc_track.read_processed_ibtracs_csv(TEST_TRACK_SHORT)
with self.assertLogs('climada.hazard.tc_tracks', level='INFO') as cm:
tc_track.calc_random_walk()
self.assertIn('No historical track with landfall.', cm.output[1])
def test_interp_track_pass(self):
""" Interpolate track to min_time_step. Compare to MATLAB reference."""
tc_track = TCTracks()
tc_track.read_processed_ibtracs_csv(TEST_TRACK)
tc_track.equal_timestep(time_step_h=1)
self.assertEqual(tc_track.data[0].time.size, 223)
self.assertAlmostEqual(tc_track.data[0].lon.values[11],
-27.426151640151684)
self.assertAlmostEqual(tc_track.data[0].lat[23], 12.300006169591480)
self.assertEqual(tc_track.data[0].time_step[7], 1)
self.assertEqual(np.max(tc_track.data[0].radius_max_wind), 0)
self.assertEqual(np.min(tc_track.data[0].radius_max_wind), 0)
self.assertEqual(tc_track.data[0].max_sustained_wind[21], 25)
self.assertAlmostEqual(tc_track.data[0].central_pressure.values[29],
1.005409300000005e+03)
self.assertEqual(np.max(tc_track.data[0].environmental_pressure), 1010)
self.assertEqual(np.min(tc_track.data[0].environmental_pressure), 1010)
self.assertEqual(tc_track.data[0]['time.year'][13], 1951)
self.assertEqual(tc_track.data[0]['time.month'][26], 8)
self.assertEqual(tc_track.data[0]['time.day'][7], 27)
self.assertEqual(tc_track.data[0].max_sustained_wind_unit, 'kn')
self.assertEqual(tc_track.data[0].central_pressure_unit, 'mb')
self.assertEqual(tc_track.data[0].orig_event_flag, 1)
self.assertEqual(tc_track.data[0].name, '1951239N12334')
self.assertEqual(tc_track.data[0].data_provider, 'hurdat_atl')
self.assertTrue(np.isnan(tc_track.data[0].basin))
self.assertEqual(tc_track.data[0].id_no, 1951239012334)
self.assertEqual(tc_track.data[0].category, 1)
def test_set_one_pass(self):
"""Test _set_from_track function."""
tc_track = TCTracks()
tc_track.read_processed_ibtracs_csv(TEST_TRACK)
tc_track.equal_timestep()
tc_haz = TCRain._set_from_track(tc_track.data[0], CENTR_TEST_BRB)
self.assertEqual(tc_haz.tag.haz_type, 'TR')
self.assertEqual(tc_haz.tag.description, '')
self.assertEqual(tc_haz.tag.file_name, 'IBTrACS: 1951239N12334')
self.assertEqual(tc_haz.units, 'mm')
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.intensity, sparse.csr.csr_matrix))
self.assertTrue(isinstance(tc_haz.fraction, sparse.csr.csr_matrix))
self.assertEqual(tc_haz.intensity.shape, (1, 296))
self.assertEqual(tc_haz.fraction.shape, (1, 296))
self.assertAlmostEqual(tc_haz.intensity[0, 100], 99.7160586771286, 6)
self.assertAlmostEqual(tc_haz.intensity[0, 260], 33.2087621869295)
self.assertEqual(tc_haz.fraction[0, 100], 1)
self.assertEqual(tc_haz.fraction[0, 260], 1)
self.assertEqual(tc_haz.fraction.nonzero()[0].size, 296)
self.assertEqual(tc_haz.intensity.nonzero()[0].size, 296)
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_vang_sym(self):
""" Test _vang_sym function. Compare to MATLAB reference. """
ureg = UnitRegistry()
i_node = 1
tc_track = TCTracks()
tc_track.read_processed_ibtracs_csv(TEST_TRACK)
tc_track.equal_timestep()
tc_track.data[0]['radius_max_wind'] = (
'time',
tc._extra_rad_max_wind(tc_track.data[0].central_pressure.values,
tc_track.data[0].radius_max_wind.values,
ureg))
r_arr = np.array([
286.4938638337190, 290.5930935802884, 295.0271327746536,
299.7811253637995, 296.8484825705515, 274.9892882245964
])
v_trans = 5.2429431910897559
v_ang = tc._vang_sym(
tc_track.data[0].environmental_pressure.values[i_node],
tc_track.data[0].central_pressure.values[i_node - 1:i_node + 1],
tc_track.data[0].lat.values[i_node],
tc_track.data[0].time_step.values[i_node],
tc_track.data[0].radius_max_wind.values[i_node],
r_arr,
v_trans,
model=0)
to_kn = (1 * ureg.meter / ureg.second).to(ureg.knot).magnitude
self.assertEqual(v_ang.size, 6)
self.assertAlmostEqual(v_ang[0] * to_kn, 10.774196807905097)
self.assertAlmostEqual(v_ang[1] * to_kn, 10.591725180482094)
self.assertAlmostEqual(v_ang[2] * to_kn, 10.398212766600055)
self.assertAlmostEqual(v_ang[3] * to_kn, 10.195108683240084)
self.assertAlmostEqual(v_ang[4] * to_kn, 10.319869893291429)
self.assertAlmostEqual(v_ang[5] * to_kn, 11.305188714213809)
def test_windfield(self):
""" Test _windfield function. Compare to MATLAB reference. """
ureg = UnitRegistry()
tc_track = TCTracks()
tc_track.read_processed_ibtracs_csv(TEST_TRACK)
tc_track.equal_timestep()
tc_track.data[0]['radius_max_wind'] = (
'time',
tc._extra_rad_max_wind(tc_track.data[0].central_pressure.values,
tc_track.data[0].radius_max_wind.values,
ureg))
coast_centr = tc.coastal_centr_idx(CENTR_TEST_BRB)
wind = tc._windfield(tc_track.data[0],
CENTR_TEST_BRB.coord,
coast_centr,
model=0)
to_kn = (1 * ureg.meter / ureg.second).to(ureg.knot).magnitude
self.assertEqual(wind.shape, (CENTR_TEST_BRB.size, ))
wind = wind[coast_centr]
self.assertEqual(np.nonzero(wind)[0].size, 280)
self.assertAlmostEqual(wind[0] * to_kn, 51.16153933277889)
self.assertAlmostEqual(wind[80] * to_kn, 64.15891933409763)
self.assertAlmostEqual(wind[120] * to_kn, 41.43819201370903)
self.assertAlmostEqual(wind[200] * to_kn, 57.28814245245439)
self.assertAlmostEqual(wind[220] * to_kn, 69.62477194818004)
def test_vtrans_correct(self):
""" Test _vtrans_correct function. Compare to MATLAB reference."""
ureg = UnitRegistry()
i_node = 1
tc_track = TCTracks()
tc_track.read_processed_ibtracs_csv(TEST_TRACK)
tc_track.equal_timestep()
tc_track.data[0]['radius_max_wind'] = (
'time',
tc._extra_rad_max_wind(tc_track.data[0].central_pressure.values,
tc_track.data[0].radius_max_wind.values,
ureg))
r_arr = np.array([
286.4938638337190, 290.5930935802884, 295.0271327746536,
299.7811253637995, 296.8484825705515, 274.9892882245964
])
v_trans_corr = tc._vtrans_correct(
tc_track.data[0].lat.values[i_node:i_node + 2],
tc_track.data[0].lon.values[i_node:i_node + 2],
tc_track.data[0].radius_max_wind.values[i_node],
CENTR_TEST_BRB.coord[:6, :], r_arr)
to_kn = (1 * ureg.meter / ureg.second).to(ureg.knot).magnitude
v_trans = 10.191466256012880 / to_kn
v_trans_corr *= v_trans
self.assertEqual(v_trans_corr.size, 6)
self.assertAlmostEqual(v_trans_corr[0] * to_kn, 0.06547673730228235)
self.assertAlmostEqual(v_trans_corr[1] * to_kn, 0.07106877437273672)
self.assertAlmostEqual(v_trans_corr[2] * to_kn, 0.07641714650288109)
self.assertAlmostEqual(v_trans_corr[3] * to_kn, 0.0627289214278824)
self.assertAlmostEqual(v_trans_corr[4] * to_kn, 0.0697427233582331)
self.assertAlmostEqual(v_trans_corr[5] * to_kn, 0.06855335593983322)
def test_vtrans_correct(self):
""" Test _vtrans_correct function. Compare to MATLAB reference."""
ureg = UnitRegistry()
i_node = 1
tc_track = TCTracks()
tc_track.read_processed_ibtracs_csv(TEST_TRACK)
tc_track.equal_timestep()
tc_track.data[0]['radius_max_wind'] = ('time', tc._extra_rad_max_wind(
tc_track.data[0].central_pressure.values,
tc_track.data[0].radius_max_wind.values, ureg))
coast_centr = tc.coastal_centr_idx(CENT_CLB)
new_centr = CENT_CLB.coord[coast_centr]
r_arr = np.array([286.4938638337190, 290.5930935802884,
295.0271327746536, 299.7811253637995,
296.8484825705515, 274.9892882245964])
close_centr = np.array([400381, 400382, 400383, 400384, 401110,
1019665]) - 1
v_trans_corr = tc._vtrans_correct(
tc_track.data[0].lat.values[i_node:i_node+2],
tc_track.data[0].lon.values[i_node:i_node+2],
tc_track.data[0].radius_max_wind.values[i_node],
new_centr[close_centr, :], r_arr)
to_kn = (1* ureg.meter / ureg.second).to(ureg.knot).magnitude
v_trans = 10.191466256012880 / to_kn
v_trans_corr *= v_trans
self.assertEqual(v_trans_corr.size, 6)
self.assertAlmostEqual(v_trans_corr[0] * to_kn, 2.490082696506720)
self.assertAlmostEqual(v_trans_corr[1] * to_kn, 2.418324821762491)
self.assertAlmostEqual(v_trans_corr[2] * to_kn, 2.344175399115656)
self.assertAlmostEqual(v_trans_corr[3] * to_kn, 2.268434724527058)
self.assertAlmostEqual(v_trans_corr[4] * to_kn, 2.416654031976129)
self.assertAlmostEqual(v_trans_corr[5] * to_kn, -1.394485527059995)
def test_calc_decay_no_landfall_pass(self):
""" Test _calc_land_decay with no historical tracks with landfall """
tc_track = TCTracks()
tc_track.read_processed_ibtracs_csv(TEST_TRACK_SHORT)
land_geom = tc._calc_land_geom(tc_track.data)
tc._track_land_params(tc_track.data[0], land_geom)
with self.assertLogs('climada.hazard.tc_tracks', level='INFO') as cm:
tc_track._calc_land_decay(land_geom)
self.assertIn('No historical track with landfall.', cm.output[0])
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_get_track_pass(self):
""" Test get_track."""
tc_track = TCTracks()
tc_track.read_processed_ibtracs_csv(TEST_TRACK_SHORT)
self.assertIsInstance(tc_track.get_track(), xr.Dataset)
self.assertIsInstance(tc_track.get_track('1951239N12334'), xr.Dataset)
tc_track_bis = TCTracks()
tc_track_bis.read_processed_ibtracs_csv(TEST_TRACK_SHORT)
tc_track.append(tc_track_bis)
self.assertIsInstance(tc_track.get_track(), list)
self.assertIsInstance(tc_track.get_track('1951239N12334'), xr.Dataset)
def test_rainfield_from_track_pass(self):
"""Test _rainfield_from_track function. Compare to MATLAB reference."""
tc_track = TCTracks()
tc_track.read_processed_ibtracs_csv(TEST_TRACK)
tc_track.equal_timestep()
rainfall = rainfield_from_track(tc_track.data[0], CENTR_TEST_BRB)
rainfall = np.round(rainfall, decimals=9)
self.assertAlmostEqual(rainfall[0, 0], 66.801702386)
self.assertAlmostEqual(rainfall[0, 130], 43.290917792)
self.assertAlmostEqual(rainfall[0, 200], 76.315923838)
def test_interp_origin_inv_pass(self):
""" Interpolate track to min_time_step crossing lat origin """
tc_track = TCTracks()
tc_track.read_processed_ibtracs_csv(TEST_TRACK)
tc_track.data[0].lon.values = np.array([
167.207761, 168.1, 168.936535, 169.728947, 170.5, 171.257176,
171.946822, 172.5, 172.871797, 173.113396, 173.3, 173.496375,
173.725522, 174., 174.331591, 174.728961, 175.2, 175.747632,
176.354929, 177., 177.66677, 178.362433, 179.1, 179.885288,
-179.304661, -178.5, -177.726442, -176.991938, -176.3, -175.653595,
-175.053513, -174.5, -173.992511, -173.527342, -173.1, -172.705991,
-172.340823, -172.
])
tc_track.data[0].lon.values = -tc_track.data[0].lon.values
tc_track.data[0].lat.values = np.array([
40.196053, 40.6, 40.930215, 41.215674, 41.5, 41.816354, 42.156065,
42.5, 42.833998, 43.16377, 43.5, 43.847656, 44.188854, 44.5,
44.764269, 44.991925, 45.2, 45.402675, 45.602707, 45.8, 45.995402,
46.193543, 46.4, 46.615718, 46.82312, 47., 47.130616, 47.225088,
47.3, 47.369224, 47.435786, 47.5, 47.562858, 47.628064, 47.7,
47.783047, 47.881586, 48.
])
tc_track.equal_timestep(time_step_h=1)
self.assertEqual(tc_track.data[0].time.size, 223)
self.assertAlmostEqual(tc_track.data[0].lon.values[0], -167.207761)
self.assertAlmostEqual(tc_track.data[0].lon.values[-1], 172)
self.assertAlmostEqual(tc_track.data[0].lon.values[137], -179.75187272)
self.assertAlmostEqual(tc_track.data[0].lon.values[138], -179.885288)
self.assertAlmostEqual(tc_track.data[0].lon.values[139], 179.98060885)
self.assertAlmostEqual(tc_track.data[0].lon.values[140], 179.84595743)
self.assertAlmostEqual(tc_track.data[0].lat.values[0], 40.196053)
self.assertAlmostEqual(tc_track.data[0].lat.values[-1], 48.)
self.assertEqual(tc_track.data[0].time_step[7], 1)
self.assertEqual(np.max(tc_track.data[0].radius_max_wind), 0)
self.assertEqual(np.min(tc_track.data[0].radius_max_wind), 0)
self.assertEqual(tc_track.data[0].max_sustained_wind[21], 25)
self.assertAlmostEqual(tc_track.data[0].central_pressure.values[29],
1.005409300000005e+03)
self.assertEqual(np.max(tc_track.data[0].environmental_pressure), 1010)
self.assertEqual(np.min(tc_track.data[0].environmental_pressure), 1010)
self.assertEqual(tc_track.data[0]['time.year'][13], 1951)
self.assertEqual(tc_track.data[0]['time.month'][26], 8)
self.assertEqual(tc_track.data[0]['time.day'][7], 27)
self.assertEqual(tc_track.data[0].max_sustained_wind_unit, 'kn')
self.assertEqual(tc_track.data[0].central_pressure_unit, 'mb')
self.assertEqual(tc_track.data[0].orig_event_flag, 1)
self.assertEqual(tc_track.data[0].name, '1951239N12334')
self.assertEqual(tc_track.data[0].data_provider, 'hurdat_atl')
self.assertTrue(np.isnan(tc_track.data[0].basin))
self.assertEqual(tc_track.data[0].id_no, 1951239012334)
self.assertEqual(tc_track.data[0].category, 1)
def test_random_walk_decay_pass(self):
"""Test land decay is called from calc_random_walk."""
tc_track = TCTracks()
tc_track.read_processed_ibtracs_csv(TC_ANDREW_FL)
ens_size=2
with self.assertLogs('climada.hazard.tc_tracks', level='DEBUG') as cm:
tc_track.calc_random_walk(ens_size, seed=25, decay=True)
self.assertIn('No historical track of category Tropical Depression with landfall.', cm.output[1])
self.assertIn('Decay parameters from category Hurrican Cat. 4 taken.', cm.output[2])
self.assertIn('No historical track of category Hurrican Cat. 1 with landfall.', cm.output[3])
self.assertIn('Decay parameters from category Hurrican Cat. 4 taken.', cm.output[4])
self.assertIn('No historical track of category Hurrican Cat. 3 with landfall. Decay parameters from category Hurrican Cat. 4 taken.', cm.output[5])
self.assertIn('No historical track of category Hurrican Cat. 5 with landfall.', cm.output[6])
def test_calc_orig_lf(self):
""" Test _calc_orig_lf for andrew tropical cyclone."""
tc_track = TCTracks()
tc_track.read_processed_ibtracs_csv(TC_ANDREW_FL)
track = tc_track.get_track()
track['on_land'] = ('time',
coord_on_land(track.lat.values, track.lon.values))
sea_land_idx = np.where(np.diff(track.on_land.astype(int)) == 1)[0]
orig_lf = tc._calc_orig_lf(track, sea_land_idx)
self.assertEqual(orig_lf.shape, (sea_land_idx.size, 2))
self.assertTrue(np.array_equal(orig_lf[0], np.array([25.5, -80.25])))
self.assertTrue(np.array_equal(orig_lf[1], np.array([29.65, -91.5])))
def test_apply_decay_no_landfall_pass(self):
""" Test _apply_land_decay with no historical tracks with landfall """
tc_track = TCTracks()
tc_track.read_processed_ibtracs_csv(TEST_TRACK_SHORT)
land_geom = tc._calc_land_geom(tc_track.data)
tc._track_land_params(tc_track.data[0], land_geom)
tc_track.data[0]['orig_event_flag']=False
tc_ref = tc_track.data[0].copy()
tc_track._apply_land_decay(dict(), dict(), land_geom)
self.assertTrue(np.array_equal(tc_track.data[0].max_sustained_wind.values, tc_ref.max_sustained_wind.values))
self.assertTrue(np.array_equal(tc_track.data[0].central_pressure.values, tc_ref.central_pressure.values))
self.assertTrue(np.array_equal(tc_track.data[0].environmental_pressure.values, tc_ref.environmental_pressure.values))
self.assertTrue(np.all(np.isnan(tc_track.data[0].dist_since_lf.values)))
def test_vtrans_pass(self):
""" Test _vtrans function. Compare to MATLAB reference."""
ureg = UnitRegistry()
i_node = 1
tc_track = TCTracks()
tc_track.read_processed_ibtracs_csv(TEST_TRACK)
tc_track.equal_timestep()
v_trans = tc._vtrans(tc_track.data[0].lat.values, tc_track.data[0].lon.values,
tc_track.data[0].time_step.values, ureg)
to_kn = (1* ureg.meter / ureg.second).to(ureg.knot).magnitude
self.assertEqual(v_trans.size, tc_track.data[0].time.size-1)
self.assertAlmostEqual(v_trans[i_node-1]*to_kn, 10.191466256012880)
def test_vtrans_pass(self):
"""Test _vtrans function. Compare to MATLAB reference."""
tc_track = TCTracks()
tc_track.read_processed_ibtracs_csv(TEST_TRACK)
tc_track.equal_timestep()
v_trans, _ = _vtrans(
tc_track.data[0].lat.values, tc_track.data[0].lon.values,
tc_track.data[0].time_step.values)
to_kn = (1.0 * ureg.meter / ureg.second).to(ureg.knot).magnitude
self.assertEqual(v_trans.size, tc_track.data[0].time.size)
self.assertEqual(v_trans[0], 0)
self.assertAlmostEqual(v_trans[1] * to_kn, 10.191466246)
def test_read_and_tc_fail(self):
""" Append Hazard and Tropical Cyclone. Fail because of missing
category in hazard. """
tc_track = TCTracks()
tc_track.read_processed_ibtracs_csv(TEST_TRACK_SHORT)
tc_haz1 = TropCyclone()
tc_haz1.read_mat(HAZ_TEST_MAT)
tc_haz2 = TropCyclone()
tc_haz2.set_from_tracks(tc_track, CENTR_TEST_BRB)
tc_haz2.append(tc_haz1)
self.assertEqual(tc_haz2.intensity.shape, (14451, 396))
with self.assertRaises(ValueError):
tc_haz2.check()
def test_calc_land_decay_pass(self):
""" Test _calc_land_decay with environmental pressure function."""
tc_track = TCTracks()
tc_track.read_processed_ibtracs_csv(TC_ANDREW_FL)
land_geom = tc._calc_land_geom(tc_track.data)
tc._track_land_params(tc_track.data[0], land_geom)
v_rel, p_rel = tc_track._calc_land_decay(land_geom)
self.assertEqual(7, len(v_rel))
for i, val in enumerate(v_rel.values()):
self.assertAlmostEqual(val, 0.0038894834)
self.assertTrue(i + 1 in v_rel.keys())
self.assertEqual(7, len(p_rel))
for i, val in enumerate(p_rel.values()):
self.assertAlmostEqual(val[0], 1.0598491)
self.assertAlmostEqual(val[1], 0.0041949237)
self.assertTrue(i + 1 in p_rel.keys())
def test_extra_rad_max_wind_pass(self):
""" Test _extra_rad_max_wind function. Compare to MATLAB reference."""
ureg = UnitRegistry()
tc_track = TCTracks()
tc_track.read_processed_ibtracs_csv(TEST_TRACK)
tc_track.equal_timestep()
rad_max_wind = tc._extra_rad_max_wind(tc_track.data[0].central_pressure.values,
tc_track.data[0].radius_max_wind.values, ureg)
self.assertEqual(rad_max_wind[0], 75.536713749999905)
self.assertAlmostEqual(rad_max_wind[10], 75.592659583328057)
self.assertAlmostEqual(rad_max_wind[128], 46.686527832605236)
self.assertEqual(rad_max_wind[129], 46.089211533333405)
self.assertAlmostEqual(rad_max_wind[130], 45.672274889277276)
self.assertEqual(rad_max_wind[189], 45.132715266666672)
self.assertAlmostEqual(rad_max_wind[190], 45.979603999211285)
self.assertAlmostEqual(rad_max_wind[191], 47.287173876478825)
self.assertEqual(rad_max_wind[192], 48.875090249999985)
self.assertAlmostEqual(rad_max_wind[200], 59.975901084074955)
def test_dist_since_lf_pass(self):
""" Test _dist_since_lf for andrew tropical cyclone."""
tc_track = TCTracks()
tc_track.read_processed_ibtracs_csv(TC_ANDREW_FL)
track = tc_track.get_track()
track['on_land'] = ('time', coord_on_land(track.lat.values,
track.lon.values))
track['dist_since_lf'] = ('time', tc._dist_since_lf(track))
self.assertTrue(np.all(np.isnan(track.dist_since_lf.values[track.on_land == False])))
self.assertEqual(track.dist_since_lf.values[track.on_land == False].size, 38)
self.assertTrue(track.dist_since_lf.values[-1] >
dist_to_coast(track.lat.values[-1], track.lon.values[-1])/1000)
self.assertEqual(1020.5431562223974, track['dist_since_lf'].values[-1])
# check distances on land always increase, in second landfall
dist_on_land = track.dist_since_lf.values[track.on_land]
self.assertTrue(np.all(np.diff(dist_on_land)[1:] > 0))
def test_gust_from_track(self):
""" Test gust_from_track function. Compare to MATLAB reference. """
tc_track = TCTracks()
tc_track.read_processed_ibtracs_csv(TEST_TRACK)
tc_track.equal_timestep()
intensity = tc.gust_from_track(tc_track.data[0],
CENTR_TEST_BRB,
model='H08')
self.assertTrue(isinstance(intensity, sparse.csr.csr_matrix))
self.assertEqual(intensity.shape, (1, 296))
self.assertEqual(np.nonzero(intensity)[0].size, 280)
self.assertEqual(intensity[0, 260], 0)
self.assertAlmostEqual(intensity[0, 1], 27.835686180065114)
self.assertAlmostEqual(intensity[0, 2], 29.46862830056694)
self.assertAlmostEqual(intensity[0, 3], 26.36829914594632)
self.assertAlmostEqual(intensity[0, 100], 38.84863159321016)
self.assertAlmostEqual(intensity[0, 250], 34.26311998266044)
self.assertAlmostEqual(intensity[0, 295], 44.273964728810924)
