def test_valid_minmax(self):
"""Check that invalid values are replaced with fallback."""
o = OceanDrift(loglevel=20)
from opendrift.readers.basereader import variables
minval = variables.standard_names['x_wind']['valid_min']
# Setting valid_min to -5, to check that replacement works
variables.standard_names['x_wind']['valid_min'] = -5
reader_wind = reader_netCDF_CF_generic.Reader(o.test_data_folder() +
'16Nov2015_NorKyst_z_surface/arome_subset_16Nov2015.nc')
o.add_reader(reader_wind)
o.set_config('environment:fallback:x_sea_water_velocity', 0)
o.set_config('environment:fallback:x_wind', 2.0)
o.set_config('environment:fallback:y_sea_water_velocity', 0)
o.set_config('environment:fallback:land_binary_mask', 0)
o.seed_elements(lon=4, lat=60, time=reader_wind.start_time)
o.run(steps=1)
variables.standard_names['x_wind']['valid_min'] = minval # reset
w = o.get_property('x_wind')[0][0]
self.assertAlmostEqual(w, 2.0, 1)
def test_no_active_but_still_unseeded_elements(self):
o = OceanDrift(loglevel=20)
# deactivate elements after 3 hours
o.set_config('drift:max_age_seconds', 3600 * 3)
norkyst = reader_netCDF_CF_generic.Reader(
o.test_data_folder() +
'14Jan2016_NorKyst_z_3d/NorKyst-800m_ZDEPTHS_his_00_3Dsubset.nc')
o.add_reader(norkyst)
# seed two elements at 6 hour interval
o.seed_elements(
number=2,
lon=4,
lat=62,
time=[norkyst.start_time, norkyst.start_time + timedelta(hours=6)])
o.set_config('environment:fallback:land_binary_mask', 0)
o.run(duration=timedelta(hours=8), outfile='test.nc')
os.remove('test.nc')
# Check that simulations has run until scheduled end
self.assertEqual(o.steps_calculation, 8)
def test_buffer_length_stranding(self):
o1 = OceanDrift(loglevel=30)
norkyst = reader_netCDF_CF_generic.Reader(
o1.test_data_folder() +
'16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc')
basemap = reader_basemap_landmask.Reader(llcrnrlon=4.5,
llcrnrlat=60.1,
urcrnrlon=6.0,
urcrnrlat=60.4,
resolution='c',
projection='merc')
o1.add_reader([basemap])
o1.fallback_values['x_sea_water_velocity'] = 0.8 # onshore drift
o1.seed_elements(4.8,
60.2,
radius=5000,
number=100,
time=norkyst.start_time)
o1.run(steps=100,
time_step=900,
time_step_output=3600,
export_buffer_length=10)
# Without buffer
o2 = OceanDrift(loglevel=30)
o2.add_reader([basemap])
o2.fallback_values['x_sea_water_velocity'] = 0.8 # onshore drift
o2.seed_elements(4.8,
60.2,
radius=5000,
number=100,
time=norkyst.start_time)
o2.run(steps=100,
time_step=900,
time_step_output=3600,
outfile='test_buffer_length_stranding.nc')
self.assertIsNone(
np.testing.assert_array_equal(o1.history['lon'].compressed(),
o2.history['lon'].compressed()))
self.assertIsNone(
np.testing.assert_array_almost_equal(
o1.history['status'].compressed(),
o2.history['status'].compressed()))
os.remove('test_buffer_length_stranding.nc')
def test_reader_coverage(self):
r = reader_netCDF_CF_generic.Reader(o.test_data_folder() +
'16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc')
# Element outside reader domain
self.assertEqual(len(r.covers_positions(5, 80)[0]), 0)
x, y = r.lonlat2xy(5, 80)
self.assertRaises(ValueError, r.check_arguments,
'y_sea_water_velocity', r.start_time, x, y, 0)
# Element inside reader domain
self.assertEqual(len(r.covers_positions(5, 60)[0]), 1)
x, y = r.lonlat2xy(5, 60)
var, time, x2, y2, z2, outside = \
r.check_arguments('y_sea_water_velocity', r.start_time, x, y, 0)
self.assertEqual(var, ['y_sea_water_velocity'])
self.assertEqual(time, r.start_time)
self.assertEqual(x, x2)
self.assertEqual(y, y2)
self.assertEqual(0, z2)
self.assertEqual(len(outside), 0)
def test_lonlat(test_data):
# Only used for projection
reader_current = reader_netCDF_CF_generic.Reader(
test_data +
'14Jan2016_NorKyst_z_3d/NorKyst-800m_ZDEPTHS_his_00_3Dsubset.nc')
# Simulation SRS
p = OpenDriftSimulation.SRS()
lon, lat = 4., 62.
x, y = reader_current.lonlat2xy(lon, lat)
# Single value
u = [0.26724684, 0.2784934]
ru, rv = reader_current.rotate_vectors(x, y, u[0], u[1],
reader_current.proj, p)
np.testing.assert_almost_equal(-0.14591436614546296, ru, decimal=3)
np.testing.assert_almost_equal(0.3573351998976778, rv, decimal=2)
# Profile (array of vectors)
u = np.array([
0.26724684, 0.26311329, 0.25992924, 0.25909173, 0.25849965, 0.24982239,
0.25549856, 0.30730924, 0.29996288, 0.23423982, 0.23423982
])
v = np.array([
0.2784934, 0.26522627, 0.25113547, 0.2446443, 0.23454225, 0.16889542,
0.18744907, 0.13027644, 0.09087397, 0.19704318, 0.19704318
])
ru, rv = reader_current.rotate_vectors(x, y, u, v, reader_current.proj, p)
nu = [
-0.14591437, -0.13547045, -0.12388817, -0.11829696, -0.10930654,
-0.05284545, -0.06749336, 0.00579645, 0.0388169, -0.08489617,
-0.08489617
]
nv = [
0.3573352, 0.34816854, 0.33953491, 0.33613269, 0.33148788, 0.29689097,
0.30961478, 0.33373241, 0.31101295, 0.29408664, 0.29408664
]
np.testing.assert_array_almost_equal(nu, ru, decimal=3)
np.testing.assert_array_almost_equal(nv, rv, decimal=3)
def test_valid_minmax_nanvalues(self):
from opendrift.readers.basereader import variables
# Reducing max current speed to test masking
maxval = variables.standard_names['x_sea_water_velocity']['valid_max']
variables.standard_names['x_sea_water_velocity']['valid_max'] = .1
o = OceanDrift(loglevel=20)
o.set_config('environment:fallback:land_binary_mask', 0)
norkyst = reader_netCDF_CF_generic.Reader(
o.test_data_folder() +
'14Jan2016_NorKyst_z_3d/NorKyst-800m_ZDEPTHS_his_00_3Dsubset.nc')
o.add_reader(norkyst)
o.seed_elements(lon=4.95, lat=62, number=10, time=norkyst.start_time)
o.run(steps=2)
variables.standard_names['x_sea_water_velocity'][
'valid_max'] = maxval # reset
u = o.get_property('x_sea_water_velocity')[0]
self.assertAlmostEqual(u.max(), -.069,
3) # Some numerical error allowed
def test_seed_below_reader_coverage(self):
o = OpenOil(loglevel=20)
reader_norkyst = reader_netCDF_CF_generic.Reader(o.test_data_folder() + '14Jan2016_NorKyst_z_3d/NorKyst-800m_ZDEPTHS_his_00_3Dsubset.nc')
o.set_config('environment:fallback:land_binary_mask', 0)
o.set_config('environment:fallback:x_wind', 0)
o.set_config('environment:fallback:y_wind', 0)
o.add_reader([reader_norkyst])
lon = 5.0; lat = 64.0
o.set_config('seed:droplet_diameter_min_subsea', 0.0005)
o.set_config('seed:droplet_diameter_max_subsea', 0.005)
o.seed_elements(lon, lat, z=-350, time=reader_norkyst.start_time,
density=1000)
#o.set_config('vertical_mixing:TSprofiles', True)
o.set_config('drift:vertical_mixing', True)
o.set_config('vertical_mixing:timestep', 1) # s
o.run(steps=3, time_step=300, time_step_output=300)
z, status = o.get_property('z')
self.assertAlmostEqual(z[-1,0], -134.27, 1) # After some rising
def test_seed_seafloor(self):
o = OpenOil3D(loglevel=30)
reader_norkyst = reader_netCDF_CF_generic.Reader(o.test_data_folder() + '14Jan2016_NorKyst_z_3d/NorKyst-800m_ZDEPTHS_his_00_3Dsubset.nc')
o.fallback_values['land_binary_mask'] = 0
o.fallback_values['x_wind'] = 0
o.fallback_values['y_wind'] = 0
o.fallback_values['x_sea_water_velocity'] = 0
o.fallback_values['y_sea_water_velocity'] = 0
o.add_reader([reader_norkyst])
lon = 4.5; lat = 62.0
o.seed_elements(lon, lat, z='seafloor', time=reader_norkyst.start_time,
density=1000)
o.set_config('processes:turbulentmixing', True)
o.set_config('turbulentmixing:verticalresolution', 1) # m
o.set_config('turbulentmixing:timestep', 1) # s
o.run(steps=3, time_step=300, time_step_output=300)
#o.plot_property('z')
z, status = o.get_property('z')
self.assertAlmostEqual(z[0,0], -151.7, 1) # Seeded at seafloor depth
self.assertAlmostEqual(z[-1,0], -91.3, 1) # After some rising
def test_seed_outside_coverage(self):
"""Test seeding"""
o = OpenOil(loglevel=0)
norkyst = reader_netCDF_CF_generic.Reader(
o.test_data_folder() +
'14Jan2016_NorKyst_z_3d/NorKyst-800m_ZDEPTHS_his_00_3Dsubset.nc')
landmask = reader_global_landmask.Reader(extent=[4, 6, 60, 64])
o.add_reader([landmask, norkyst])
o.set_config('environment:fallback:x_wind', 0)
o.set_config('environment:fallback:y_wind', 0)
o.set_config('seed:oil_type', 'SNORRE B 2004')
o.seed_elements(5,
63,
number=5,
time=norkyst.start_time - 24 * timedelta(hours=24))
# Check that the oiltype is taken from config
self.assertEqual(o.oil_name, o.get_config('seed:oil_type'))
self.assertEqual(o.oil_name, 'SNORRE B 2004')
with self.assertRaises(ValueError):
o.run(steps=3, time_step=timedelta(minutes=15))
def test_reader_netcdf(self):
"""Check reader functionality."""
reader1 = reader_netCDF_CF_generic.Reader(o.test_data_folder() +
'16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc')
reader2 = reader_ROMS_native.Reader(o.test_data_folder() +
'2Feb2016_Nordic_sigma_3d/Nordic-4km_SLEVELS_avg_00_subset2Feb2016.nc')
readers = [reader1, reader2]
for r in readers:
print r
# Make four points:
# 1) outside lower left, 2) lower left, 3) center of domain
# 4) outside upper right
# and assure that only 2) and 3) are marked as covered
# Upper right is skipped, as lonlat2xy may lie slightly outside
x = np.array([r.xmin - r.delta_x, r.xmin, (r.xmin + r.xmax)/2,
r.xmax + r.delta_x])
y = np.array([r.ymin - r.delta_y, r.ymin, (r.ymin + r.ymax)/2,
r.ymax + r.delta_y])
lons, lats = r.xy2lonlat(x, y)
covered = r.covers_positions(lons, lats, 0)
if len(covered) != 1:
self.assertEqual(covered.tolist(), [1, 2])
else:
if covered == [2]:
print '#'*60
print '#'*60
print 'WARNING: A point on the boundary is considered ' \
'outside after conversion x,y -> lon,lat -> x,y. ' \
'This is different from "standard", but is due to ' \
'rounding differences and not considered to be an ' \
'error. Numpy version is %s' % (np.__version__)
print '#'*60
print '#'*60
else:
self.assertTrue(False) # Should never happen!
self.assertTrue(r.covers_time(r.start_time))
self.assertFalse(r.covers_time(r.start_time - r.time_step))
self.assertFalse(r.proj.is_latlong())
def test_vertical_profiles(self):
norkyst3d = reader_netCDF_CF_generic.Reader(
o.test_data_folder() +
'14Jan2016_NorKyst_z_3d/NorKyst-800m_ZDEPTHS_his_00_3Dsubset.nc')
lon = np.array([4.73])
lat = np.array([62.35])
variables = [
'x_sea_water_velocity', 'x_sea_water_velocity',
'sea_water_temperature'
]
x, y = norkyst3d.lonlat2xy(lon, lat)
data = norkyst3d.get_variables(variables,
time=norkyst3d.start_time,
x=x,
y=y,
z=[0, -100])
self.assertEqual(data['z'][4], -25)
self.assertEqual(data['z'][4], -25)
self.assertAlmostEqual(data['sea_water_temperature'][:, 0, 0][7],
9.220000267028809)
def test_seed_below_seafloor(self):
o = OpenOil(loglevel=20)
reader_norkyst = reader_netCDF_CF_generic.Reader(o.test_data_folder() + '14Jan2016_NorKyst_z_3d/NorKyst-800m_ZDEPTHS_his_00_3Dsubset.nc')
o.add_reader([reader_norkyst])
o.set_config('environment:fallback:land_binary_mask', 0)
o.set_config('environment:fallback:x_wind', 0)
o.set_config('environment:fallback:y_wind', 0)
o.set_config('environment:fallback:x_sea_water_velocity', 0)
o.set_config('environment:fallback:y_sea_water_velocity', 0)
lon = 4.5; lat = 62.0
o.set_config('seed:droplet_diameter_min_subsea', 0.0005)
o.set_config('seed:droplet_diameter_max_subsea', 0.001)
o.seed_elements(lon, lat, z=-5000, time=reader_norkyst.start_time,
density=1000, oiltype='GENERIC BUNKER C')
o.set_config('drift:vertical_mixing', True)
o.set_config('vertical_mixing:timestep', 1) # s
o.run(steps=3, time_step=300, time_step_output=300)
z, status = o.get_property('z')
self.assertAlmostEqual(z[0,0], -147.3, 1) # Seeded at seafloor depth
self.assertAlmostEqual(z[-1,0], -132.5, 1) # After some rising
def test_stranding_roms(self):
o = PelagicEggDrift(loglevel=20)
reader_arctic = reader_netCDF_CF_generic.Reader(o.test_data_folder() +
'2Feb2016_Nordic_sigma_3d/Arctic20_1to5Feb_2016.nc')
reader_nordic = reader_ROMS_native.Reader(o.test_data_folder() +
'2Feb2016_Nordic_sigma_3d/Nordic-4km_SLEVELS_avg_00_subset2Feb2016.nc')
o.add_reader(reader_arctic)
o.add_reader(reader_nordic)
o.set_config('environment:fallback:x_sea_water_velocity', 1)
o.seed_elements(lon=13.0, lat=68.0, radius=20000, number=100,
time=[reader_arctic.start_time,
reader_nordic.end_time], z=-30)
o.set_config('general:coastline_action', 'previous')
o.set_config('drift:vertical_mixing', False)
o.max_speed=1
o.run(end_time=reader_nordic.end_time, time_step=3600*36)
self.assertEqual(o.num_elements_scheduled(), 0)
self.assertEqual(o.num_elements_active(), 100)
self.assertEqual(o.num_elements_activated(), 100)
self.assertEqual(o.num_elements_deactivated(), 0)
self.assertEqual(o.num_elements_total(), 100)
def test_seed_outside_coverage(self):
"""Test seeding"""
o = OpenOil3D(loglevel=0)
norkyst = reader_netCDF_CF_generic.Reader(
o.test_data_folder() +
'14Jan2016_NorKyst_z_3d/NorKyst-800m_ZDEPTHS_his_00_3Dsubset.nc')
basemap = reader_basemap_landmask.Reader(llcrnrlon=4,
llcrnrlat=60,
urcrnrlon=6,
urcrnrlat=64,
resolution='c',
projection='merc')
o.add_reader([basemap, norkyst])
o.fallback_values['x_wind'] = 0
o.fallback_values['y_wind'] = 0
o.seed_elements(5,
63,
number=5,
time=norkyst.start_time - 24 * timedelta(hours=24))
with self.assertRaises(ValueError):
o.run(steps=3, time_step=timedelta(minutes=15))
def test_vertical_interpolation(self):
norkyst3d = reader_netCDF_CF_generic.Reader(o.test_data_folder() +
'14Jan2016_NorKyst_z_3d/NorKyst-800m_ZDEPTHS_his_00_3Dsubset.nc')
lon = np.array([4.73, 4.75])
lat = np.array([62.35, 62.30])
z = np.array([0, -33])
variables = ['x_sea_water_velocity', 'x_sea_water_velocity',
'sea_water_temperature']
# Call get_variables_interpolated which interpolates both in
# space (horizontally, vertically) and then in time
data, profiles = norkyst3d.get_variables_interpolated(
variables, profiles=['sea_water_temperature'],
profiles_depth = [-100, 0],
time = norkyst3d.start_time + timedelta(seconds=900),
lon=lon, lat=lat, z=z, block=True)
# Check surface value
self.assertEqual(data['sea_water_temperature'][0],
profiles['sea_water_temperature'][0,0])
# Check interpolated temperature at 33 m depth
self.assertAlmostEqual(data['sea_water_temperature'][1],
8.2648999309539786)
def test_reader_current_from_track(self):
"""Check if extrapolated currents are of expected value"""
obslon = [3.1, 3.123456]
obslat = [61.1, 61.132198]
obstime = [datetime(2015, 11, 16, 0), datetime(2015, 11, 16, 6)]
o = OceanDrift(loglevel=50)
reader_wind = reader_netCDF_CF_generic.Reader(
o.test_data_folder() +
'16Nov2015_NorKyst_z_surface/arome_subset_16Nov2015.nc')
reader_current = reader_current_from_track.Reader(
obslon,
obslat,
obstime,
wind_east=0,
wind_north=0,
windreader=reader_wind,
wind_factor=0.018)
self.assertAlmostEqual(reader_current.x_sea_water_velocity.data[0],
0.22070706, 8)
def test_buffer_length_stranding(self):
o1 = OceanDrift(loglevel=30)
norkyst = reader_netCDF_CF_generic.Reader(
o1.test_data_folder() +
'16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc')
landmask = reader_global_landmask.Reader(extent=[4.5, 6.0, 60.1, 60.4])
o1.add_reader([landmask])
o1.set_config('environment:fallback:x_sea_water_velocity',
0.8) # onshore drift
o1.seed_elements(4.8,
60.2,
radius=5000,
number=100,
time=norkyst.start_time)
o1.run(steps=100,
time_step=900,
time_step_output=3600,
export_buffer_length=10)
# Without buffer
o2 = OceanDrift(loglevel=30)
o2.add_reader([landmask])
o2.set_config('environment:fallback:x_sea_water_velocity',
0.8) # onshore drift
o2.seed_elements(4.8,
60.2,
radius=5000,
number=100,
time=norkyst.start_time)
o2.run(steps=100,
time_step=900,
time_step_output=3600,
outfile='test_buffer_length_stranding.nc')
self.assertIsNone(
np.testing.assert_array_equal(o1.history['lon'].compressed(),
o2.history['lon'].compressed()))
self.assertIsNone(
np.testing.assert_array_almost_equal(
o1.history['status'].compressed(),
o2.history['status'].compressed()))
os.remove('test_buffer_length_stranding.nc')
def test_export_step_interval(self):
# Export to file only at end
o1 = OceanDrift(loglevel=20)
norkyst = reader_netCDF_CF_generic.Reader(o1.test_data_folder() +
'16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc')
o1.add_reader(norkyst)
o1.fallback_values['land_binary_mask'] = 0
o1.seed_elements(4.25, 60.2, radius=1000, number=10,
time=norkyst.start_time)
o1.run(steps=40)
# Export to file during simulation
o2 = OceanDrift(loglevel=20)
o2.add_reader(norkyst)
o2.fallback_values['land_binary_mask'] = 0
o2.seed_elements(4.25, 60.2, radius=1000, number=10,
time=norkyst.start_time)
o2.run(steps=40, export_buffer_length=6,
outfile='export_step_interval.nc')
self.assertIsNone(np.testing.assert_array_equal(
o1.history['lon'].compressed(),
o2.history['lon'].compressed()))
# Finally check when steps is multiple of export_buffer_length
o3 = OceanDrift(loglevel=20)
o3.add_reader(norkyst)
o3.fallback_values['land_binary_mask'] = 0
o3.seed_elements(4.25, 60.2, radius=1000, number=10,
time=norkyst.start_time)
o3.run(steps=42)
# Export to file during simulation
o4 = OceanDrift(loglevel=20)
o4.add_reader(norkyst)
o4.fallback_values['land_binary_mask'] = 0
o4.seed_elements(4.25, 60.2, radius=1000, number=10,
time=norkyst.start_time)
o4.run(steps=42, export_buffer_length=6,
outfile='export_step_interval.nc')
self.assertIsNone(np.testing.assert_array_equal(
o3.history['lon'].compressed(),
o4.history['lon'].compressed()))
os.remove('export_step_interval.nc')
def test_openberg(self):
"""Check if weighting array is set correctly
and if model returns expected positions"""
o = OpenBerg(loglevel=50)
reader_current = reader_netCDF_CF_generic.Reader(o.test_data_folder() +
'14Jan2016_NorKyst_z_3d/NorKyst-800m_ZDEPTHS_his_00_3Dsubset.nc')
reader_landmask = reader_global_landmask.Reader(llcrnrlon=3., llcrnrlat=60.,
urcrnrlon=5., urcrnrlat=63.5)
o.add_reader([reader_current,reader_landmask])
o.seed_elements(4.,62.,time=reader_current.start_time)
o.run(steps=1)
arr=[0.16072658,0.16466097,0.17384121,0.17325179,0.1715925,0.15592695]
for indx in range(len(arr)):
self.assertAlmostEqual(o.uw_weighting[indx],arr[indx],8)
self.assertAlmostEqual(o.history['lon'].data[0][1],3.9921231,3)
self.assertAlmostEqual(o.history['lat'].data[0][1],62.0108299,3)
def test_seed_below_seafloor(self):
o = OpenOil3D(loglevel=0)
reader_norkyst = reader_netCDF_CF_generic.Reader(
o.test_data_folder() +
'14Jan2016_NorKyst_z_3d/NorKyst-800m_ZDEPTHS_his_00_3Dsubset.nc')
o.add_reader([reader_norkyst])
o.fallback_values['land_binary_mask'] = 0
lon = 4.5
lat = 62.0
o.seed_elements(lon,
lat,
z=-5000,
time=reader_norkyst.start_time,
density=1000)
o.set_config('processes:turbulentmixing', True)
o.set_config('turbulentmixing:verticalresolution', 1) # m
o.set_config('turbulentmixing:timestep', 1) # s
o.set_config('input:spill:droplet_diameter_min_subsea', 0.005)
o.set_config('input:spill:droplet_diameter_max_subsea', 0.005)
o.run(steps=3, time_step=300, time_step_output=300)
z, status = o.get_property('z')
self.assertAlmostEqual(z[0, 0], -151.2, 1) # Seeded at seafloor depth
self.assertAlmostEqual(z[-1, 0], -108.0, 2) # After some rising
def test_equiv_proj(test_data):
""" These two projections are almost equivalent """
# Only used for projection
reader_current = reader_netCDF_CF_generic.Reader(
test_data +
'14Jan2016_NorKyst_z_3d/NorKyst-800m_ZDEPTHS_his_00_3Dsubset.nc')
# Simulation SRS
p = pyproj.Proj(
'+proj=stere +lat_0=90 +lat_ts=60 +lon_0=70 +x_0=0 +y_0=0 +a=6371000 +rf=298.257223563 +units=m +no_defs'
)
lon, lat = 4., 62.
x, y = reader_current.lonlat2xy(lon, lat)
# Single value
u = [0.26724684, 0.2784934]
ru, rv = reader_current.rotate_vectors(x, y, u[0], u[1],
reader_current.proj, p)
np.testing.assert_almost_equal(u[0], ru, decimal=3)
np.testing.assert_almost_equal(u[1], rv, decimal=2)
# Profile (array of vectors)
u = np.array([
0.26724684, 0.26311329, 0.25992924, 0.25909173, 0.25849965, 0.24982239,
0.25549856, 0.30730924, 0.29996288, 0.23423982, 0.23423982
])
v = np.array([
0.2784934, 0.26522627, 0.25113547, 0.2446443, 0.23454225, 0.16889542,
0.18744907, 0.13027644, 0.09087397, 0.19704318, 0.19704318
])
ru, rv = reader_current.rotate_vectors(x, y, u, v, reader_current.proj, p)
np.testing.assert_array_almost_equal(u, ru, decimal=3)
np.testing.assert_array_almost_equal(v, rv, decimal=3)
def test_interpolation_3dArrays(self):
"""Test interpolation."""
reader = reader_netCDF_CF_generic.Reader(
o.test_data_folder() +
'14Jan2016_NorKyst_z_3d/NorKyst-800m_ZDEPTHS_his_00_3Dsubset.nc')
# 100000 points within 50x50 pixels over sea (corner of domain)
num_points = 1000
np.random.seed(0) # To get the same random numbers each time
x = np.random.uniform(reader.xmin, reader.xmin + 800 * 50, num_points)
y = np.random.uniform(reader.ymax - 800 * 50, reader.ymax, num_points)
z = np.random.uniform(-200, 0, num_points)
variables = [
'x_sea_water_velocity', 'y_sea_water_velocity',
'sea_water_temperature'
]
# Read a block of data covering the points
data = reader.get_variables(variables,
time=reader.start_time,
x=x,
y=y,
z=z,
block=True)
b = ReaderBlock(data, interpolation_horizontal='nearest')
env, prof = b.interpolate(x,
y,
z,
variables,
profiles=['sea_water_temperature'],
profiles_depth=[-30, 0])
self.assertAlmostEqual(env['x_sea_water_velocity'][100], 0.075019, 3)
self.assertAlmostEqual(prof['sea_water_temperature'][0, 11], 7.549999,
3)
self.assertAlmostEqual(prof['sea_water_temperature'][-1, 11], 8.389999,
3)
self.assertEqual(prof['z'][-1], b.z[-1])
def test_repeated(self):
"""Check that block can be used for interpolation to several sets of positions"""
reader = reader_netCDF_CF_generic.Reader(
o.test_data_folder() +
'14Jan2016_NorKyst_z_3d/NorKyst-800m_ZDEPTHS_his_00_3Dsubset.nc')
# 100 points within 50x50 pixels over sea (corner of domain)
num_points = 100
np.random.seed(0) # To get the same random numbers each time
x = np.random.uniform(reader.xmin, reader.xmin + 800 * 50, num_points)
y = np.random.uniform(reader.ymax - 800 * 50, reader.ymax, num_points)
z = np.random.uniform(-200, 0, num_points)
variables = [
'x_sea_water_velocity', 'y_sea_water_velocity',
'sea_water_temperature'
]
# Read a block of data covering the points
data = reader.get_variables(variables,
time=reader.start_time,
x=x,
y=y,
z=z,
block=True)
b = ReaderBlock(data, interpolation_horizontal='nearest')
env, prof = b.interpolate(x, y, z, 'sea_water_temperature')
x2 = x[20:30]
y2 = y[20:30]
z2 = z[20:30]
env2, prof2 = b.interpolate(x2, y2, z2, 'sea_water_temperature')
env3, prof3 = b.interpolate(x, y, z, 'sea_water_temperature')
self.assertEqual(env['sea_water_temperature'][0],
env3['sea_water_temperature'][0])
self.assertEqual(env['sea_water_temperature'][20],
env2['sea_water_temperature'][0])
def test_environment_mapping(test_data):
# Wind from NE
r = reader_constant.Reader({
'wind_speed': 5,
'wind_from_direction': 45,
'land_binary_mask': 0
})
o = OceanDrift(loglevel=50)
o.set_config('general:use_auto_landmask', False)
o.add_reader(r)
o.seed_elements(lon=4, lat=60, time=datetime.now())
o.run(steps=15)
np.testing.assert_almost_equal(o.elements.lon, 3.932, 3)
np.testing.assert_almost_equal(o.elements.lat, 59.966, 3)
# Wind from SW
r = reader_constant.Reader({
'wind_speed': 5,
'wind_from_direction': 225,
'land_binary_mask': 0
})
o = OceanDrift(loglevel=50)
o.set_config('general:use_auto_landmask', False)
o.add_reader(r)
o.seed_elements(lon=4, lat=60, time=datetime.now())
o.run(steps=15)
np.testing.assert_almost_equal(o.elements.lon, 4.068, 3)
np.testing.assert_almost_equal(o.elements.lat, 60.034, 3)
# land_binary_mask mapped from sea_floor_depth_below_sea_level
r = reader_netCDF_CF_generic.Reader(
o.test_data_folder() +
'14Jan2016_NorKyst_z_3d/NorKyst-800m_ZDEPTHS_his_00_3Dsubset.nc')
assert 'land_binary_mask' not in r.derived_variables # Disabled by default
r.activate_environment_mapping('land_binary_mask_from_ocean_depth')
assert 'land_binary_mask' in r.derived_variables
def test_vertical_mixing(self):
# Export to file only at end
o1 = PelagicEggDrift(loglevel=20) # Profiles and vertical mixing
norkyst = reader_netCDF_CF_generic.Reader(
o1.test_data_folder() +
'14Jan2016_NorKyst_z_3d/NorKyst-800m_ZDEPTHS_his_00_3Dsubset.nc')
o1.add_reader([norkyst])
o1.fallback_values['x_wind'] = 8
o1.fallback_values['land_binary_mask'] = 0
o1.seed_elements(4.1,
63.3,
radius=1000,
number=100,
time=norkyst.start_time)
o1.set_config('turbulentmixing:timestep', 20.) # seconds
o1.set_config('turbulentmixing:verticalresolution', 1.) # m
o1.run(steps=20,
time_step=300,
time_step_output=1800,
export_buffer_length=10,
outfile='verticalmixing.nc')
self.assertAlmostEqual(o1.history['z'].min(), -31.9, 1)
self.assertAlmostEqual(o1.history['z'].max(), 0.0, 1)
os.remove('verticalmixing.nc')
"""
Openoil
==================================
"""
from datetime import datetime, timedelta
from opendrift.readers import reader_netCDF_CF_generic
from opendrift.models.openoil import OpenOil
o = OpenOil(loglevel=20, weathering_model='noaa')
print(o.oiltypes) # Print available oil types
#%% Add forcing date
# Arome atmospheric model
reader_arome = reader_netCDF_CF_generic.Reader(o.test_data_folder() +
'16Nov2015_NorKyst_z_surface/arome_subset_16Nov2015.nc')
# Norkyst ocean model
reader_norkyst = reader_netCDF_CF_generic.Reader(o.test_data_folder() +
'16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc')
o.add_reader([reader_norkyst, reader_arome])
#%%
# Seeding some particles
time = reader_arome.start_time
oil_type = 'GULLFAKS, EXXON'
oil_type = 'ARABIAN MEDIUM, API'
oil_type = 'ALGERIAN CONDENSATE'
o.seed_elements(lon=4.9, lat=60.1, radius=3000, number=2000,
time=time, z=0, oil_type=oil_type)
#%%
"""
Wind blow model
==================================
"""
from opendrift.readers import reader_netCDF_CF_generic
from opendrift.models.windblow import WindBlow
o = WindBlow(loglevel=20) # Set loglevel to 0 for debug information
#%%
# Example of elements blowing with the wind, also over land
#reader_arome = reader_netCDF_CF_generic.Reader('https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc')
reader_arome = reader_netCDF_CF_generic.Reader(
o.test_data_folder() +
'2Feb2016_Nordic_sigma_3d/AROME_MetCoOp_00_DEF.nc_20160202_subset')
o.add_reader([reader_arome])
#%%
# Seeding some particles
lat = 68.5
lon = 16.0 # Lofoten
o.seed_elements(lon,
lat,
radius=5000,
number=1000,
time=reader_arome.start_time)
#%%
def test_output_time_step(self):
o1 = OceanDrift(loglevel=30)
norkyst = reader_netCDF_CF_generic.Reader(
o1.test_data_folder() +
'16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc')
basemap = reader_basemap_landmask.Reader(llcrnrlon=4.5,
llcrnrlat=60.0,
urcrnrlon=5.2,
urcrnrlat=60.5,
resolution='i',
projection='merc')
o1.add_reader([basemap, norkyst])
o1.seed_elements(4.96,
60.1,
radius=3000,
number=100,
time=norkyst.start_time)
o1.run(duration=timedelta(hours=12),
time_step=timedelta(minutes=30),
time_step_output=timedelta(minutes=30),
outfile='test_time_step30.nc')
# Check length of time array and output array
time = o1.get_time_array()[0]
self.assertEqual(o1.history.shape[1], len(time))
self.assertEqual(o1.start_time, time[0])
self.assertEqual(o1.time, time[-1])
# Second run, with larger output time step
o2 = OceanDrift(loglevel=30)
o2.add_reader([basemap, norkyst])
o2.seed_elements(4.96,
60.1,
radius=3000,
number=100,
time=norkyst.start_time)
o2.run(duration=timedelta(hours=12),
time_step=timedelta(minutes=30),
time_step_output=timedelta(minutes=60),
outfile='test_time_step60.nc')
self.assertEqual(o1.history.shape, (100, 25))
self.assertEqual(o2.history.shape, (100, 13))
# Check that start and end conditions (longitudes) are idential
self.assertItemsEqual(o1.history['lon'][:, 24].compressed(),
o2.history['lon'][:, 12].compressed())
self.assertItemsEqual(o1.history['lon'][:, 0].compressed(),
o2.history['lon'][:, 0].compressed())
# Check that also run imported from file is identical
o1i = OceanDrift(loglevel=20)
o1i.io_import_file('test_time_step30.nc')
o2i = OceanDrift(loglevel=20)
o2i.io_import_file('test_time_step60.nc')
os.remove('test_time_step30.nc')
os.remove('test_time_step60.nc')
self.assertItemsEqual(o2i.history['lon'][:, 12].compressed(),
o2.history['lon'][:, 12].compressed())
# Check number of activated elements
self.assertEqual(o1.num_elements_total(), o2.num_elements_total())
self.assertEqual(o1.num_elements_total(), o1i.num_elements_total())
self.assertEqual(o1.num_elements_total(), o2i.num_elements_total())
# Check number of deactivated elements
self.assertEqual(o1.num_elements_deactivated(),
o2.num_elements_deactivated())
self.assertEqual(o1.num_elements_deactivated(),
o1i.num_elements_deactivated())
self.assertEqual(o1.num_elements_deactivated(),
o2i.num_elements_deactivated())
def test_get_environment(self):
o = PelagicEggDrift(loglevel=0)
reader_nordic = reader_ROMS_native.Reader(o.test_data_folder() + '2Feb2016_Nordic_sigma_3d/Nordic-4km_SLEVELS_avg_00_subset2Feb2016.nc', name='Nordic')
reader_arctic = reader_netCDF_CF_generic.Reader(o.test_data_folder() + '2Feb2016_Nordic_sigma_3d/Arctic20_1to5Feb_2016.nc', name='Arctic')
######################################################
# Vertical interpolation is another issue to be fixed:
reader_nordic.zlevels = reader_arctic.z
######################################################
o.add_reader([reader_nordic, reader_arctic])
# One point covered only by Nordic, two points coverd
# by both readers, and two points covered by none of the readers
testlon = np.array((14.0, 20.0, 20.1, 4, 5))
testlat = np.array((70.1, 76.0, 76.1, 60, 60))
testz = np.random.uniform(0, 0, len(testlon))
self.assertItemsEqual([0], reader_nordic.covers_positions(
testlon, testlat, testz))
self.assertItemsEqual([0, 1, 2], reader_arctic.covers_positions(
testlon, testlat, testz))
o.seed_elements(testlon, testlat, testz, time=reader_nordic.start_time)
o.fallback_values['land_binary_mask'] = 0
env, env_profiles, missing = \
o.get_environment(o.required_variables,
reader_nordic.start_time,
testlon, testlat, testz,
o.required_profiles)
self.assertAlmostEqual(env['sea_water_temperature'][0], 4.338, 2)
self.assertAlmostEqual(env['sea_water_temperature'][1], 0.6282, 3)
self.assertAlmostEqual(env['sea_water_temperature'][4], 10.0)
self.assertItemsEqual(missing, [False,False,False,False,False])
self.assertAlmostEqual(env_profiles['sea_water_temperature'][0,0],
4.338, 2)
self.assertAlmostEqual(env_profiles['sea_water_temperature'][0,4], 10)
self.assertAlmostEqual(env_profiles['sea_water_temperature'][8,2], 10)
self.assertAlmostEqual(env_profiles['sea_water_temperature'][7,2],
2.252265, 3)
# Get separate data
env2, env_profiles2, missing2 = \
o.get_environment(['x_sea_water_velocity', 'y_sea_water_velocity',
'sea_water_temperature'],
reader_nordic.start_time,
testlon, testlat, testz,
['sea_water_temperature'])
self.assertTrue(env_profiles2 is not None)
self.assertEqual(env_profiles2.keys(), ['z', 'sea_water_temperature'])
# Get separate data, without profile
env3, env_profiles3, missing3 = \
o.get_environment(['x_sea_water_velocity', 'y_sea_water_velocity',
'sea_water_temperature'],
reader_nordic.start_time,
testlon, testlat, testz,
profiles=None)
self.assertTrue(env_profiles3 is None)
# Get separate data
env4, env_profiles4, missing4 = \
o.get_environment(['x_sea_water_velocity', 'y_sea_water_velocity',
'sea_water_temperature'],
reader_nordic.start_time,
testlon, testlat, testz,
['sea_water_temperature'])
self.assertItemsEqual(env['x_sea_water_velocity'],
env2['x_sea_water_velocity'])
#print env_profiles['sea_water_temperature'], '1'*50
#print env_profiles2['sea_water_temperature'], '2'*50
#print env_profiles4['sea_water_temperature'], '4'*50
# Test below should also pass, To be fixed
#self.assertItemsEqual(env_profiles['sea_water_temperature'].ravel(),
# env_profiles2['sea_water_temperature'].ravel())
self.assertItemsEqual(env_profiles2['sea_water_temperature'].ravel(),
env_profiles4['sea_water_temperature'].ravel())
import numpy as np
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
import cartopy.feature as cfeature
from opendrift.readers import reader_netCDF_CF_generic
from opendrift.readers import reader_ROMS_native
from opendrift.readers import reader_shape
from opendrift.models.oceandrift import OceanDrift
o = OceanDrift(loglevel=20) # Set loglevel to 0 for debug information
o.max_speed = 3
# This example works better using hourly input from Thredds than the daily data from test folder
reader_nordic = reader_netCDF_CF_generic.Reader(
'https://thredds.met.no/thredds/dodsC/sea/nordic4km/zdepths1h/aggregate_be'
)
#%%
# Use shapes from Cartopy for tests. These shapefiles are less acurate than those
# provided by the GSHHS dataset (available though the reader_global_landmask reader).
import cartopy.io.shapereader as shpreader
shpfilename = shpreader.natural_earth(resolution='110m',
category='cultural',
name='admin_0_countries')
reader_natural = reader_shape.Reader.from_shpfiles(shpfilename)
#reader_nordic = reader_ROMS_native.Reader(o.test_data_folder() +
# '2Feb2016_Nordic_sigma_3d/Nordic-4km_SLEVELS_avg_00_subset2Feb2016.nc')
o.add_reader([reader_natural, reader_nordic])
o.set_config('general:use_auto_landmask', False)
