Note
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Leeway
from datetime import timedelta
import cmocean
import xarray as xr
from opendrift.readers import reader_netCDF_CF_generic
from opendrift.models.leeway import Leeway
lw = Leeway(loglevel=20) # Set loglevel to 0 for debug information
# Atmospheric model for wind
#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(lw.test_data_folder() +
'16Nov2015_NorKyst_z_surface/arome_subset_16Nov2015.nc')
# Ocean model for current
#reader_norkyst = reader_netCDF_CF_generic.Reader('https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc')
reader_norkyst = reader_netCDF_CF_generic.Reader(lw.test_data_folder() +
'16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc')
14:29:11 INFO opendrift.models.basemodel:529: OpenDriftSimulation initialised (version 1.10.7 / v1.10.6-73-gad7b6cf)
14:29:11 INFO opendrift.readers.reader_netCDF_CF_generic:92: Opening dataset: /root/project/tests/test_data/16Nov2015_NorKyst_z_surface/arome_subset_16Nov2015.nc
/opt/conda/envs/opendrift/lib/python3.11/site-packages/pyproj/crs/crs.py:1286: UserWarning: You will likely lose important projection information when converting to a PROJ string from another format. See: https://proj.org/faq.html#what-is-the-best-format-for-describing-coordinate-reference-systems
proj = self._crs.to_proj4(version=version)
14:29:11 INFO opendrift.readers.reader_netCDF_CF_generic:92: Opening dataset: /root/project/tests/test_data/16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc
/opt/conda/envs/opendrift/lib/python3.11/site-packages/pyproj/crs/crs.py:1286: UserWarning: You will likely lose important projection information when converting to a PROJ string from another format. See: https://proj.org/faq.html#what-is-the-best-format-for-describing-coordinate-reference-systems
proj = self._crs.to_proj4(version=version)
Adding readers successively, and specifying which variables they shall provide. This way, order of adding readers does not matter
lw.add_reader(reader_norkyst,
variables=['x_sea_water_velocity', 'y_sea_water_velocity'])
lw.add_reader(reader_arome, variables=['x_wind', 'y_wind'])
lw.set_config('environment:fallback:x_sea_water_velocity', 0)
lw.set_config('environment:fallback:y_sea_water_velocity', 0)
Seed leeway elements at defined position and time
object_type = 26 # 26 = Life-raft, no ballast
lw.seed_elements(lon=4.5, lat=59.6, radius=100, number=1000,
time=reader_arome.start_time, object_type=object_type)
14:29:12 INFO opendrift.models.leeway:209: Seeding elements of object type 26: LIFE-RAFT-NB-1 (Life-raft, no ballast (NB) system, general (mean values))
Running model
lw.run(duration=timedelta(hours=48), time_step=900, time_step_output=3600)
14:29:12 INFO opendrift.models.basemodel:2733: Adding a dynamical landmask with max. priority based on assumed maximum speed of 5 m/s. Adding a customised landmask may be faster...
14:29:17 INFO opendrift.models.basemodel:1681: Using existing reader for land_binary_mask
14:29:17 INFO opendrift.models.basemodel:1693: All points are in ocean
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/root/project/opendrift/readers/interpolation/interpolators.py:17: RuntimeWarning: overflow encountered in cast
data[mask] = np.finfo(np.float64).min
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14:29:21 INFO opendrift.models.basemodel:2862: 2015-11-17 14:15:00 - step 154 of 192 - 334 active elements (666 deactivated)
14:29:21 INFO opendrift.models.basemodel:2862: 2015-11-17 14:30:00 - step 155 of 192 - 329 active elements (671 deactivated)
14:29:21 INFO opendrift.models.basemodel:2862: 2015-11-17 14:45:00 - step 156 of 192 - 326 active elements (674 deactivated)
14:29:21 INFO opendrift.models.basemodel:2862: 2015-11-17 15:00:00 - step 157 of 192 - 323 active elements (677 deactivated)
14:29:21 INFO opendrift.models.basemodel:2862: 2015-11-17 15:15:00 - step 158 of 192 - 318 active elements (682 deactivated)
14:29:21 INFO opendrift.models.basemodel:2862: 2015-11-17 15:30:00 - step 159 of 192 - 312 active elements (688 deactivated)
14:29:21 INFO opendrift.models.basemodel:2862: 2015-11-17 15:45:00 - step 160 of 192 - 306 active elements (694 deactivated)
14:29:21 INFO opendrift.models.basemodel:2862: 2015-11-17 16:00:00 - step 161 of 192 - 303 active elements (697 deactivated)
14:29:21 INFO opendrift.models.basemodel:2862: 2015-11-17 16:15:00 - step 162 of 192 - 298 active elements (702 deactivated)
14:29:21 INFO opendrift.models.basemodel:2862: 2015-11-17 16:30:00 - step 163 of 192 - 295 active elements (705 deactivated)
14:29:21 INFO opendrift.models.basemodel:2862: 2015-11-17 16:45:00 - step 164 of 192 - 290 active elements (710 deactivated)
14:29:21 INFO opendrift.models.basemodel:2862: 2015-11-17 17:00:00 - step 165 of 192 - 290 active elements (710 deactivated)
14:29:21 INFO opendrift.models.basemodel:2862: 2015-11-17 17:15:00 - step 166 of 192 - 285 active elements (715 deactivated)
14:29:21 INFO opendrift.models.basemodel:2862: 2015-11-17 17:30:00 - step 167 of 192 - 283 active elements (717 deactivated)
14:29:21 INFO opendrift.models.basemodel:2862: 2015-11-17 17:45:00 - step 168 of 192 - 278 active elements (722 deactivated)
14:29:21 INFO opendrift.models.basemodel:2862: 2015-11-17 18:00:00 - step 169 of 192 - 274 active elements (726 deactivated)
14:29:21 INFO opendrift.models.basemodel:2862: 2015-11-17 18:15:00 - step 170 of 192 - 273 active elements (727 deactivated)
14:29:21 INFO opendrift.models.basemodel:2862: 2015-11-17 18:30:00 - step 171 of 192 - 270 active elements (730 deactivated)
14:29:21 INFO opendrift.models.basemodel:2862: 2015-11-17 18:45:00 - step 172 of 192 - 267 active elements (733 deactivated)
14:29:21 INFO opendrift.models.basemodel:2862: 2015-11-17 19:00:00 - step 173 of 192 - 263 active elements (737 deactivated)
14:29:21 INFO opendrift.models.basemodel:2862: 2015-11-17 19:15:00 - step 174 of 192 - 258 active elements (742 deactivated)
14:29:21 INFO opendrift.models.basemodel:2862: 2015-11-17 19:30:00 - step 175 of 192 - 256 active elements (744 deactivated)
14:29:21 INFO opendrift.models.basemodel:2862: 2015-11-17 19:45:00 - step 176 of 192 - 253 active elements (747 deactivated)
14:29:21 INFO opendrift.models.basemodel:2862: 2015-11-17 20:00:00 - step 177 of 192 - 252 active elements (748 deactivated)
14:29:21 INFO opendrift.models.basemodel:2862: 2015-11-17 20:15:00 - step 178 of 192 - 250 active elements (750 deactivated)
14:29:21 INFO opendrift.models.basemodel:2862: 2015-11-17 20:30:00 - step 179 of 192 - 249 active elements (751 deactivated)
14:29:21 INFO opendrift.models.basemodel:2862: 2015-11-17 20:45:00 - step 180 of 192 - 244 active elements (756 deactivated)
14:29:21 INFO opendrift.models.basemodel:2862: 2015-11-17 21:00:00 - step 181 of 192 - 244 active elements (756 deactivated)
14:29:21 INFO opendrift.models.basemodel:2862: 2015-11-17 21:15:00 - step 182 of 192 - 240 active elements (760 deactivated)
14:29:21 INFO opendrift.models.basemodel:2862: 2015-11-17 21:30:00 - step 183 of 192 - 237 active elements (763 deactivated)
14:29:21 INFO opendrift.models.basemodel:2862: 2015-11-17 21:45:00 - step 184 of 192 - 235 active elements (765 deactivated)
14:29:22 INFO opendrift.models.basemodel:2862: 2015-11-17 22:00:00 - step 185 of 192 - 233 active elements (767 deactivated)
14:29:22 INFO opendrift.models.basemodel:2862: 2015-11-17 22:15:00 - step 186 of 192 - 232 active elements (768 deactivated)
14:29:22 INFO opendrift.models.basemodel:2862: 2015-11-17 22:30:00 - step 187 of 192 - 231 active elements (769 deactivated)
14:29:22 INFO opendrift.models.basemodel:2862: 2015-11-17 22:45:00 - step 188 of 192 - 227 active elements (773 deactivated)
14:29:22 INFO opendrift.models.basemodel:2862: 2015-11-17 23:00:00 - step 189 of 192 - 227 active elements (773 deactivated)
14:29:22 INFO opendrift.models.basemodel:2862: 2015-11-17 23:15:00 - step 190 of 192 - 225 active elements (775 deactivated)
14:29:22 INFO opendrift.models.basemodel:2862: 2015-11-17 23:30:00 - step 191 of 192 - 222 active elements (778 deactivated)
14:29:22 INFO opendrift.models.basemodel:2862: 2015-11-17 23:45:00 - step 192 of 192 - 221 active elements (779 deactivated)
Print and plot results
print(lw)
===========================
--------------------
Reader performance:
--------------------
/root/project/tests/test_data/16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc
0:00:01.7 total
0:00:00.0 preparing
0:00:00.3 reading
0:00:00.1 interpolation
0:00:00.0 interpolation_time
0:00:01.3 rotating vectors
0:00:00.0 masking
--------------------
/root/project/tests/test_data/16Nov2015_NorKyst_z_surface/arome_subset_16Nov2015.nc
0:00:01.5 total
0:00:00.0 preparing
0:00:00.2 reading
0:00:00.0 interpolation
0:00:00.0 interpolation_time
0:00:01.2 rotating vectors
0:00:00.0 masking
--------------------
global_landmask
0:00:00.0 total
0:00:00.0 preparing
0:00:00.0 reading
0:00:00.0 masking
--------------------
Performance:
10.5 total time
0.3 configuration
5.3 preparing main loop
5.3 making dynamical landmask
0.0 moving elements to ocean
3.9 readers
0.1 global_landmask
0.1 postprocessing
4.8 main loop
1.8 /root/project/tests/test_data/16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc
1.6 /root/project/tests/test_data/16Nov2015_NorKyst_z_surface/arome_subset_16Nov2015.nc
0.2 updating elements
0.0 cleaning up
--------------------
===========================
Model: Leeway (OpenDrift version 1.10.7)
212 active LeewayObj particles (788 deactivated, 0 scheduled)
-------------------
Environment variables:
-----
x_sea_water_velocity
y_sea_water_velocity
1) /root/project/tests/test_data/16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc
-----
x_wind
y_wind
1) /root/project/tests/test_data/16Nov2015_NorKyst_z_surface/arome_subset_16Nov2015.nc
-----
land_binary_mask
1) global_landmask
Time:
Start: 2015-11-16 00:00:00 UTC
Present: 2015-11-18 00:00:00 UTC
Calculation steps: 192 * 0:15:00 - total time: 2 days, 0:00:00
Output steps: 49 * 1:00:00
===========================
Animation with current as background. Note that drift is also depending on wind, which is not shown.
lw.animation(background=['x_sea_water_velocity', 'y_sea_water_velocity'],
skip=5, # show every 5th vector
cmap=cmocean.cm.speed, vmin=0, vmax=.8, bgalpha=.7, land_color='#666666', fast=True)
14:29:22 WARNING opendrift.models.basemodel:3206: Plotting fast. This will make your plots less accurate.
/opt/conda/envs/opendrift/lib/python3.11/site-packages/cartopy/mpl/geoaxes.py:1700: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap', 'vmin', 'vmax' will be ignored
result = super().scatter(*args, **kwargs)
14:29:24 INFO opendrift.models.basemodel:5330: Saving animation to /root/project/docs/source/gallery/animations/example_leeway_0.gif...
14:29:40 INFO opendrift.models.basemodel:3828: Time to make animation: 0:00:18.401955
lw.plot(fast=True)
14:29:40 WARNING opendrift.models.basemodel:3206: Plotting fast. This will make your plots less accurate.
0.3984006735749549 ALPHA
(<GeoAxes: title={'center': 'OpenDrift - Leeway (LIFE-RAFT-NB-1)\n2015-11-16 00:00 to 2015-11-18 00:00 UTC (49 steps)'}>, <Figure size 457.623x1100 with 1 Axes>)
Plot density of stranded elements
d, dsub, dstr, lon, lat = lw.get_density_array(pixelsize_m=3000)
strand_density = xr.DataArray(dstr[-1,:,:], coords={'lon_bin': lon[0:-1], 'lat_bin': lat[0:-1]})
lw.plot(fast=True, background=strand_density.where(strand_density>0),
vmin=0, vmax=20, clabel='Density of stranded elements',
show_elements=False, linewidth=0)
14:29:44 WARNING opendrift.models.basemodel:3206: Plotting fast. This will make your plots less accurate.
0.3984006735749549 ALPHA
(<GeoAxes: title={'center': 'OpenDrift - Leeway (LIFE-RAFT-NB-1)\n2015-11-16 00:00 to 2015-11-18 00:00 UTC (49 steps)'}>, <Figure size 457.623x1100 with 2 Axes>)
Total running time of the script: ( 0 minutes 34.927 seconds)