def test_ibtracs_correct_pass(self): """ Check correct_pres option """ tc_try = TCTracks() tc_try.read_ibtracs_netcdf(provider='usa', storm_id='1982267N25289', correct_pres=True) self.assertAlmostEqual(tc_try.data[0].central_pressure.values[0], 1011.2905126953125) self.assertAlmostEqual(tc_try.data[0].central_pressure.values[5], 1005.706236328125) self.assertAlmostEqual(tc_try.data[0].central_pressure.values[-1], 1011.6555029296875)
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_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_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_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_filter_ibtracs_track_pass(self): """ Test _filter_ibtracs """ fn_nc = os.path.join(os.path.abspath(SYSTEM_DIR), 'IBTrACS.ALL.v04r00.nc') storm_id='1988234N13299' tc_track = TCTracks() sel = tc_track._filter_ibtracs(fn_nc, storm_id, year_range=None, basin=None) self.assertTrue(sel, np.array([10000]))
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_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_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_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_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_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_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_wrong_decay_pass(self): """ Test decay not implemented when coefficient < 1 """ track = TCTracks() track.read_ibtracs_netcdf(provider='usa', storm_id='1975178N28281') track_gen = track.data[0] track_gen['lat'] = np.array([28.20340431, 28.7915261 , 29.38642458, 29.97836984, 30.56844404, 31.16265292, 31.74820301, 32.34449825, 32.92261894, 33.47430891, 34.01492525, 34.56789399, 35.08810845, 35.55965893, 35.94835174, 36.29355848, 36.45379561, 36.32473812, 36.07552209, 35.92224784, 35.84144186, 35.78298537, 35.86090718, 36.02440372, 36.37555559, 37.06207765, 37.73197352, 37.97524273, 38.05560287, 38.21901208, 38.31486156, 38.30813367, 38.28481808, 38.28410366, 38.25894812, 38.20583372, 38.22741099, 38.39970022, 38.68367797, 39.08329904, 39.41434629, 39.424984 , 39.31327716, 39.30336335, 39.31714429, 39.27031932, 39.30848775, 39.48759833, 39.73326595, 39.96187967, 40.26954226, 40.76882202, 41.40398607, 41.93809726, 42.60395785, 43.57074792, 44.63816143, 45.61450458, 46.68528511, 47.89209365, 49.15580502]) track_gen['lon'] = np.array([-79.20514075, -79.25243311, -79.28393082, -79.32324646, -79.36668585, -79.41495519, -79.45198688, -79.40580325, -79.34965443, -79.36938122, -79.30294825, -79.06809546, -78.70281969, -78.29418936, -77.82170609, -77.30034709, -76.79004969, -76.37038827, -75.98641014, -75.58383356, -75.18310414, -74.7974524 , -74.3797645 , -73.86393572, -73.37910948, -73.01059003, -72.77051313, -72.68011328, -72.66864779, -72.62579773, -72.56307717, -72.46607618, -72.35871353, -72.31120649, -72.15537583, -71.75577051, -71.25287498, -70.75527907, -70.34788946, -70.17518421, -70.04446577, -69.76582749, -69.44372386, -69.15881376, -68.84351922, -68.47890287, -68.04184565, -67.53541437, -66.94008642, -66.25596075, -65.53496635, -64.83491802, -64.12962685, -63.54118808, -62.72934383, -61.34915091, -59.72580755, -58.24404252, -56.71972992, -55.0809336 , -53.31524758]) v_rel = {3: 0.002249541544102336, 1: 0.00046889526284203036, 4: 0.002649273787364977, 2: 0.0016426186150461349, 5: 0.00246400811445618, 7: 0.0030442198547309075, 6: 0.002346537842810565} p_rel = {3: (1.028420239620591, 0.003174733355067952), 1: (1.0046803184177564, 0.0007997633912500546), 4: (1.0498749735343516, 0.0034665588904747515), 2: (1.0140127424090262, 0.002131858515233042), 5: (1.0619445995372885, 0.003467268426139696), 7: (1.0894914184297835, 0.004315034379018768), 6: (1.0714354641894077, 0.002783787561718677)} track_gen.attrs['orig_event_flag'] = False cp_ref = np.array([1012., 1012.]) land_geom = _calc_land_geom([track_gen]) track_res = _apply_decay_coeffs(track_gen, v_rel, p_rel, land_geom, True) self.assertTrue(np.array_equal(cp_ref, track_res.central_pressure[9:11]))
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_filter_ibtracs_year_basin_pass(self): """ Test _filter_ibtracs """ fn_nc = os.path.join(os.path.abspath(SYSTEM_DIR), 'IBTrACS.ALL.v04r00.nc') tc_track = TCTracks() sel = tc_track._filter_ibtracs(fn_nc, storm_id=None, year_range=(1915, 1916), basin='WP') nc_data=Dataset(fn_nc) for i_sel in sel: self.assertEqual('WP', ''.join(nc_data.variables['basin'][i_sel, 0, :].astype(str))) isot = nc_data.variables['iso_time'][i_sel, :, :] val_len = isot.mask[isot.mask==False].shape[0]//isot.shape[1] date = isot.data[:val_len] year = dt.datetime.strptime(''.join(date[0].astype(str)), '%Y-%m-%d %H:%M:%S').year self.assertTrue(year <= 1915 or year >= 1916) self.assertEqual(sel.size, 48)
def test_penv_pass(self): """ Test _set_penv method.""" tc_track = TCTracks() basin = 'US' self.assertEqual(tc_track._set_penv(basin), 1010) basin = 'NA' self.assertEqual(tc_track._set_penv(basin), 1010) basin = 'SA' self.assertEqual(tc_track._set_penv(basin), 1010) basin = 'NI' self.assertEqual(tc_track._set_penv(basin), 1005) basin = 'SI' self.assertEqual(tc_track._set_penv(basin), 1005) basin = 'SP' self.assertEqual(tc_track._set_penv(basin), 1004) basin = 'WP' self.assertEqual(tc_track._set_penv(basin), 1005) basin = 'EP' self.assertEqual(tc_track._set_penv(basin), 1010)
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_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_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_read_range(self): """Read a several TCs.""" tc_track = TCTracks() tc_track.read_ibtracs_netcdf(provider='usa', storm_id=None, year_range=(1915, 1916), basin='WP') self.assertEqual(tc_track.size, 0) tc_track = TCTracks() tc_track.read_ibtracs_netcdf(provider='usa', year_range=(1993, 1994), basin='EP') self.assertEqual(tc_track.size, 32)
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_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_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_vtrans_pass(self): """Test _vtrans function. Compare to MATLAB reference.""" tc_track = TCTracks.from_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_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_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_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)