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test_h_saf.py
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# Copyright (c) 2021, TU Wien, Department of Geodesy and Geoinformation
# All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright notice,
# this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
# * Neither the name of TU Wien, Department of Geodesy and Geoinformation
# nor the names of its contributors may be used to endorse or promote
# products derived from this software without specific prior written
# permission.
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
# ARE DISCLAIMED. IN NO EVENT SHALL TU WIEN DEPARTMENT OF GEODESY AND
# GEOINFORMATION BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR
# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF
# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
import os
import sys
import pytest
import unittest
from datetime import datetime
import numpy as np
import numpy.testing as nptest
from ascat.h_saf import H08Bufr
from ascat.h_saf import H08BufrFileList
from ascat.h_saf import H14GribFileList
from ascat.h_saf import AscatNrtBufrFileList
from ascat.h_saf import AscatSsmDataRecord
@pytest.mark.skipif(sys.platform == 'win32', reason="Does not work on Windows")
class Test_H08(unittest.TestCase):
"""
Test H08 reading.
"""
def setUp(self):
"""
Setup test data.
"""
self.root_path = os.path.join(
os.path.dirname(__file__), 'ascat_test_data', 'hsaf', 'h08')
def test_read(self):
"""
Test read file.
"""
filename = os.path.join(self.root_path, 'h08_201005_buf',
'h08_20100501_083301_metopa_18322_ZAMG.buf')
h08 = H08Bufr(filename)
data = h08.read()
assert sorted(data.keys()) == sorted(['lon', 'lat', 'ssm', 'corr_flag',
'ssm_noise', 'proc_flag'])
for var_name, var in data.items():
assert var.shape == (3120, 7680)
def test_read_files(self):
"""
Test read files.
"""
h08_files = H08BufrFileList(self.root_path)
dt = datetime(2010, 5, 1, 8, 33, 1)
data = h08_files.read(dt)
assert sorted(data.keys()) == sorted(['lon', 'lat', 'ssm', 'corr_flag',
'ssm_noise', 'proc_flag'])
for var_name, var in data.items():
assert var.shape == (3120, 7680)
@pytest.mark.skipif(sys.platform == 'win32', reason="Does not work on Windows")
class Test_AscatNrtSsm(unittest.TestCase):
def setUp(self):
"""
Setup test data.
"""
self.root_path = os.path.join(
os.path.dirname(__file__), 'ascat_test_data', 'hsaf')
def test_h16_read(self):
"""
Test read file.
"""
dt = datetime(2017, 2, 20, 11, 15, 0)
path = os.path.join(self.root_path, 'h16')
product = 'h16'
h16 = AscatNrtBufrFileList(path, product)
data, metadata = h16.read(dt)
sm_should = np.array([0., 3.6, 7.8, 8.2, 12.3, 14.7, 21.6, 26.7,
30.6, 32.2, 43., 50.5, 46.3, 47.6, 58.])
lats_should = np.array([-28.25222, -28.21579, -28.1789, -28.14155,
-28.10374, -28.06547, -28.02674, -27.98755,
-27.94791, -27.90782, -27.86727, -27.82627,
-27.78482, -27.74292, -27.70058, ])
sm_mean_should = np.array([32.8, 35.1, 37.8, 39.2, 39., 38., 36.2,
39.6, 43.8, 45.6, 46.1, 47., 43.7, 46.,
46.7])
nptest.assert_allclose(data['lat'][798:813], lats_should, atol=1e-5)
nptest.assert_allclose(data['sm'][798:813], sm_should, atol=0.01)
nptest.assert_allclose(data['sm_mean'][798:813], sm_mean_should,
atol=0.01)
def test_h101_read(self):
"""
Test read file.
"""
dt = datetime(2017, 2, 20, 10, 42, 0)
path = os.path.join(self.root_path, 'h101')
product_id = 'h101'
h101 = AscatNrtBufrFileList(path, product_id)
data, metadata = h101.read(dt)
sm_should = np.array([26.1, 31.5, 49.5, 64.3, 80.3, 87.9, 24.5, 18.5,
20., 12.9, 6.3, 3.1, 3.5, 5.7, 2., 0., 4.6, 8.,
9.6, 11.8])
lats_should = np.array([56.26292, 56.29267, 56.32112, 56.34827,
56.37413, 56.39868, 51.98611, 52.08869,
52.19038, 52.29117, 52.39104, 52.48999,
52.58802, 52.68512, 52.78127, 52.87648,
52.97073, 53.06402, 53.15634, 53.24768])
sm_mean_should = np.array([22.8, 27., 31.8, 38.3, 44.3, 52.4, 24.8,
27.8, 24.7, 23.9, 22.8, 25., 25.6, 26.1,
25.9, 26.9, 28.5, 27.8, 24.3, 22.7])
nptest.assert_allclose(data['lat'][1800:1820], lats_should, atol=1e-5)
nptest.assert_allclose(data['sm'][1800:1820], sm_should, atol=0.01)
nptest.assert_allclose(data['sm_mean'][1800:1820], sm_mean_should,
atol=0.01)
def test_h102_read(self):
"""
Test read file.
"""
dt = datetime(2017, 2, 20, 10, 42, 0)
path = os.path.join(self.root_path, 'h102')
product_id = 'h102'
h102 = AscatNrtBufrFileList(path, product_id)
data, metadata = h102.read(dt)
sm_should = np.array([45.8, 43.5, 41.7, 42.7, 38.6, 31.1, 23.4, 21.7,
23.6, 26.8, 30.5, 30.1, 32.7, 34.7, 35.8, 38.3,
46.2, 53.7, 46.2])
lats_should = np.array([43.16844, 43.21142, 43.25423, 43.29686,
43.33931, 43.38158, 43.42367, 43.46558,
43.50731, 43.54887, 43.59024, 43.63143,
43.67243, 43.71326, 43.7539, 43.79436,
43.83463, 43.87472, 43.91463])
sm_mean_should = np.array([50.8, 44.5, 36.3, 29.9, 28.7, 29.1, 30.,
30.1, 30.8, 33., 34.9, 35.7, 35.2, 34.2,
32.9, 32.9, 34.5, 32.7, 30.6])
nptest.assert_allclose(data['lat'][0:19], lats_should, atol=1e-5)
nptest.assert_allclose(data['sm'][0:19], sm_should, atol=0.01)
nptest.assert_allclose(data['sm_mean'][0:19], sm_mean_should,
atol=0.01)
def test_h103_read(self):
"""
Test read file.
"""
dt = datetime(2017, 2, 20, 10, 30, 0)
path = os.path.join(self.root_path, 'h103')
product_id = 'h103'
h103 = AscatNrtBufrFileList(path, product_id)
data, metadata = h103.read(dt)
sm_should = np.array([20.4, 15.2, 4.2, 0., 0.7, 6.8, 14.2, 21.9,
23.7, 17.4, 14.8, 19.8, 15.4, 17.1, 28.9,
28.5, 23.9, 18.1, 25.4])
lats_should = np.array([8.82896, 8.85636, 8.88373, 8.91107, 8.93837,
8.96564, 8.99288, 9.02009, 9.04726, 9.0744,
9.1015, 9.12858, 9.15561, 9.18262, 9.20959,
9.23653, 9.26343, 9.2903, 9.31713])
sm_mean_should = np.array([14., 14., 13.8, 13.5, 13.3, 13.1, 12.8,
12.6, 12.6, 12., 12.1, 12.6, 13.2, 14.1,
13.9, 12.4, 10.9, 10.3, 10.7])
nptest.assert_allclose(data['lat'][0:19], lats_should, atol=1e-5)
nptest.assert_allclose(data['sm'][0:19], sm_should, atol=0.01)
nptest.assert_allclose(data['sm_mean'][0:19], sm_mean_should,
atol=0.01)
@pytest.mark.skipif(sys.platform == 'win32', reason="Does not work on Windows")
class Test_H14(unittest.TestCase):
def setUp(self):
"""
Setup test data.
"""
self.root_path = os.path.join(
os.path.dirname(__file__), 'ascat_test_data', 'hsaf', 'h14')
def test_read(self):
"""
Test read file.
"""
dt = datetime(2014, 5, 15, 0)
h14 = H14GribFileList(self.root_path)
data = h14.read(dt)
assert sorted(data.keys()) == sorted(['lat', 'lon',
'SM_layer1_0-7cm',
'SM_layer2_7-28cm',
'SM_layer3_28-100cm',
'SM_layer4_100-289cm'])
for var in data:
assert data[var].shape == (800, 1600)
class Test_AscatSsmDataRecord(unittest.TestCase):
def setUp(self):
path = os.path.dirname(__file__)
self.gpi = 3066159
self.cdr_path = os.path.join(path, 'ascat_test_data', 'hsaf')
self.grid_path = os.path.join(path, 'ascat_test_data', 'hsaf', 'grid')
self.static_layer_path = os.path.join(path, 'ascat_test_data', 'hsaf',
'static_layer')
def test_read_h25(self):
"""
Test read H25.
"""
self.h25 = AscatSsmDataRecord(
os.path.join(self.cdr_path, 'h25'), self.grid_path,
static_layer_path=self.static_layer_path)
data = self.h25.read(self.gpi, absolute_sm=True)
assert data.attrs['gpi'] == self.gpi
np.testing.assert_approx_equal(
data.attrs['lon'], 19.03533, significant=4)
np.testing.assert_approx_equal(
data.attrs['lat'], 70.05438, significant=4)
assert len(data) == 7737
assert data.iloc[15].name.to_pydatetime() == datetime(
2007, 1, 7, 10, 49, 9, 4)
assert data.iloc[15]['sm'] == 22
assert data.iloc[15]['ssf'] == 1
assert data.iloc[15]['sm_noise'] == 6
assert data.iloc[15]['frozen_prob'] == 0
assert data.iloc[15]['snow_prob'] == 127
assert data.iloc[15]['orbit_dir'].decode('utf-8') == 'D'
assert data.iloc[15]['proc_flag'] == 0
np.testing.assert_equal(
data.iloc[15]['abs_sm_gldas'], np.nan)
np.testing.assert_approx_equal(
data.iloc[15]['abs_sm_noise_gldas'], np.nan)
np.testing.assert_approx_equal(
data.iloc[15]['abs_sm_hwsd'], 0.1078, significant=6)
np.testing.assert_approx_equal(
data.iloc[15]['abs_sm_noise_hwsd'], 0.0294, significant=6)
assert data.attrs['topo_complex'] == 9
assert data.attrs['wetland_frac'] == 41
np.testing.assert_approx_equal(
data.attrs['porosity_gldas'], np.nan, significant=5)
np.testing.assert_approx_equal(
data.attrs['porosity_hwsd'], 0.49000001, significant=5)
def test_read_h108(self):
"""
Test read H108.
"""
self.h108 = AscatSsmDataRecord(
os.path.join(self.cdr_path, 'h108'), self.grid_path,
static_layer_path=self.static_layer_path)
data = self.h108.read(self.gpi, absolute_sm=True)
assert data.attrs['gpi'] == self.gpi
np.testing.assert_approx_equal(data.attrs['lon'], 19.03533,
significant=4)
np.testing.assert_approx_equal(data.attrs['lat'], 70.05438,
significant=4)
assert len(data) == 8222
assert data.iloc[15].name.to_pydatetime() == datetime(
2007, 1, 7, 10, 49, 9, 4)
assert data.iloc[15]['sm'] == 22
assert data.iloc[15]['ssf'] == 2
assert data.iloc[15]['sm_noise'] == 6
assert data.iloc[15]['frozen_prob'] == 0
assert data.iloc[15]['snow_prob'] == 127
assert data.iloc[15]['orbit_dir'].decode('utf-8') == 'D'
assert data.iloc[15]['proc_flag'] == 0
np.testing.assert_equal(
data.iloc[15]['abs_sm_gldas'], np.nan)
np.testing.assert_approx_equal(
data.iloc[15]['abs_sm_noise_gldas'], np.nan)
np.testing.assert_approx_equal(
data.iloc[15]['abs_sm_hwsd'], 0.1078, significant=6)
np.testing.assert_approx_equal(
data.iloc[15]['abs_sm_noise_hwsd'], 0.0294, significant=6)
assert data.attrs['topo_complex'] == 9
assert data.attrs['wetland_frac'] == 41
np.testing.assert_equal(data.attrs['porosity_gldas'], np.nan)
np.testing.assert_approx_equal(data.attrs['porosity_hwsd'],
0.49000001, significant=5)
def test_read_h109(self):
"""
Test read H109.
"""
self.h109 = AscatSsmDataRecord(
os.path.join(self.cdr_path, 'h109'), self.grid_path,
static_layer_path=self.static_layer_path)
data = self.h109.read(self.gpi, absolute_sm=True)
assert data.attrs['gpi'] == self.gpi
np.testing.assert_approx_equal(data.attrs['lon'], 19.03533,
significant=4)
np.testing.assert_approx_equal(data.attrs['lat'], 70.05438,
significant=4)
assert len(data) == 11736
assert data.iloc[15].name.to_pydatetime() == \
datetime(2007, 1, 7, 10, 49, 9, 379200)
assert data.iloc[15]['sm'] == 27
assert data.iloc[15]['ssf'] == 1
assert data.iloc[15]['sm_noise'] == 5
assert data.iloc[15]['frozen_prob'] == 0
assert data.iloc[15]['snow_prob'] == 127
assert data.iloc[15]['dir'] == 1
assert data.iloc[15]['proc_flag'] == 0
assert data.iloc[15]['corr_flag'] == 16
assert data.iloc[15]['sat_id'] == 3
np.testing.assert_equal(
data.iloc[15]['abs_sm_gldas'], np.nan)
np.testing.assert_approx_equal(
data.iloc[15]['abs_sm_noise_gldas'], np.nan)
np.testing.assert_approx_equal(
data.iloc[15]['abs_sm_hwsd'], 0.1323, significant=6)
np.testing.assert_approx_equal(
data.iloc[15]['abs_sm_noise_hwsd'], 0.0245, significant=6)
assert data.attrs['topo_complex'] == 9
assert data.attrs['wetland_frac'] == 41
np.testing.assert_equal(data.attrs['porosity_gldas'], np.nan)
np.testing.assert_approx_equal(data.attrs['porosity_hwsd'],
0.49000001, significant=5)
def test_read_h110(self):
"""
Test read H110.
"""
self.h110 = AscatSsmDataRecord(
os.path.join(self.cdr_path, 'h110'), self.grid_path,
static_layer_path=self.static_layer_path)
data = self.h110.read(self.gpi, absolute_sm=True)
assert data.attrs['gpi'] == self.gpi
np.testing.assert_approx_equal(data.attrs['lon'], 19.03533,
significant=4)
np.testing.assert_approx_equal(data.attrs['lat'], 70.05438,
significant=4)
assert len(data) == 1148
assert data.iloc[15].name.to_pydatetime() == datetime(
2016, 1, 3, 19, 34, 28, 99200)
assert data.iloc[15]['sm'] == 48
assert data.iloc[15]['ssf'] == 1
assert data.iloc[15]['sm_noise'] == 5
assert data.iloc[15]['frozen_prob'] == 0
assert data.iloc[15]['snow_prob'] == 127
assert data.iloc[15]['dir'] == 0
assert data.iloc[15]['proc_flag'] == 0
assert data.iloc[15]['corr_flag'] == 0
assert data.iloc[15]['sat_id'] == 4
np.testing.assert_equal(
data.iloc[15]['abs_sm_gldas'], np.nan)
np.testing.assert_approx_equal(
data.iloc[15]['abs_sm_noise_gldas'], np.nan)
np.testing.assert_approx_equal(
data.iloc[15]['abs_sm_hwsd'], 0.2352, significant=6)
np.testing.assert_approx_equal(
data.iloc[15]['abs_sm_noise_hwsd'], 0.0245, significant=6)
assert data.attrs['topo_complex'] == 9
assert data.attrs['wetland_frac'] == 41
np.testing.assert_equal(data.attrs['porosity_gldas'], np.nan)
np.testing.assert_approx_equal(data.attrs['porosity_hwsd'],
0.49000001, significant=5)
def test_read_h111(self):
"""
Test read H111.
"""
self.h111 = AscatSsmDataRecord(
os.path.join(self.cdr_path, 'h111'), self.grid_path,
static_layer_path=self.static_layer_path)
data = self.h111.read(self.gpi, absolute_sm=True)
assert data.attrs['gpi'] == self.gpi
np.testing.assert_approx_equal(data.attrs['lon'], 19.03533,
significant=4)
np.testing.assert_approx_equal(data.attrs['lat'], 70.05438,
significant=4)
assert len(data) == 13715
assert data.iloc[15].name.to_pydatetime() == datetime(
2007, 1, 7, 10, 49, 9, 379200)
assert data.iloc[15]['sm'] == 28
assert data.iloc[15]['ssf'] == 1
assert data.iloc[15]['sm_noise'] == 5
assert data.iloc[15]['frozen_prob'] == 0
assert data.iloc[15]['snow_prob'] == 127
assert data.iloc[15]['dir'] == 1
assert data.iloc[15]['proc_flag'] == 0
assert data.iloc[15]['corr_flag'] == 4
assert data.iloc[15]['sat_id'] == 3
np.testing.assert_equal(data.iloc[15]['abs_sm_gldas'], np.nan)
np.testing.assert_approx_equal(
data.iloc[15]['abs_sm_noise_gldas'], np.nan)
np.testing.assert_approx_equal(
data.iloc[15]['abs_sm_hwsd'], 0.1372, significant=6)
np.testing.assert_approx_equal(
data.iloc[15]['abs_sm_noise_hwsd'], 0.0245, significant=6)
assert data.attrs['topo_complex'] == 9
assert data.attrs['wetland_frac'] == 41
np.testing.assert_equal(data.attrs['porosity_gldas'], np.nan)
np.testing.assert_approx_equal(data.attrs['porosity_hwsd'],
0.49000001, significant=5)
def test_read_2points_cell_switch(self):
"""
Test reading of two points in two different cells.
This did not work in the past when the static layer class
was closed too soon.
"""
self.h111 = AscatSsmDataRecord(
os.path.join(self.cdr_path, 'h111'), self.grid_path,
static_layer_path=self.static_layer_path)
gpi = 3066159
data = self.h111.read(gpi, absolute_sm=True)
assert data.attrs['gpi'] == gpi
gpi = 2577735
data = self.h111.read(gpi, absolute_sm=True)
assert data.attrs['gpi'] == gpi
if __name__ == "__main__":
unittest.main()