Note
Go to the end to download the full example code.
Use a shapefile as landmask
import numpy as np
from opendrift.readers import reader_netCDF_CF_generic
from opendrift.readers import reader_shape
from opendrift.models.oceandrift import OceanDrift
o = OceanDrift(loglevel=20) # Set loglevel to 0 for debug information
# This example works better using hourly input from Thredds than the daily data from test folder
reader_topaz = reader_netCDF_CF_generic.Reader('https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml')
14:10:58 INFO opendrift:569: OpenDriftSimulation initialised (version 1.14.3 / v1.14.3-25-gcd89af5)
14:10:58 INFO opendrift.readers:63: Opening file with xr.open_dataset
14:11:12 INFO opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'x': 'x', 'y': 'y', 'time': 'time'}
Use shapes from Cartopy as landmask. These shapefiles are less acurate than those provided by the GSHHG 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)
o.add_reader([reader_natural, reader_topaz])
o.set_config('general:use_auto_landmask', False) # Disabling the automatic GSHHG landmask
o.set_config('general:coastline_action', 'stranding')
14:11:12 INFO opendrift.readers.reader_shape:99: Pre-processing 177 geometries
Seeding elements on a grid
lons = np.linspace(12, 14.7, 30)
lats = np.linspace(67.5, 68.5, 30)
lons, lats = np.meshgrid(lons, lats)
lon = lons.ravel()
lat = lats.ravel()
time = reader_topaz.start_time
o.seed_elements(lon, lat, radius=0, number=30*30, time=time)
o.run(steps=48, time_step=3600)
14:11:12 INFO opendrift.models.basemodel.environment:229: Fallback values will be used for the following variables which have no readers:
14:11:12 INFO opendrift.models.basemodel.environment:232: x_wind: 0.000000
14:11:12 INFO opendrift.models.basemodel.environment:232: y_wind: 0.000000
14:11:12 INFO opendrift.models.basemodel.environment:232: upward_sea_water_velocity: 0.000000
14:11:12 INFO opendrift.models.basemodel.environment:232: ocean_vertical_diffusivity: 0.000000
14:11:12 INFO opendrift.models.basemodel.environment:232: sea_surface_wave_significant_height: 0.000000
14:11:12 INFO opendrift.models.basemodel.environment:232: sea_surface_wave_stokes_drift_x_velocity: 0.000000
14:11:12 INFO opendrift.models.basemodel.environment:232: sea_surface_wave_stokes_drift_y_velocity: 0.000000
14:11:12 INFO opendrift.models.basemodel.environment:232: ocean_mixed_layer_thickness: 50.000000
14:11:12 INFO opendrift:1779: Skipping environment variable ocean_vertical_diffusivity because of condition ['drift:vertical_mixing', 'is', False]
14:11:12 INFO opendrift:1779: Skipping environment variable ocean_mixed_layer_thickness because of condition ['drift:vertical_mixing', 'is', False]
14:11:12 INFO opendrift:1790: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
14:11:12 INFO opendrift:1790: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
14:11:12 INFO opendrift:1798: Storing previous values of environment variable sea_surface_height because of condition ['drift:vertical_advection', 'is', True]
14:11:12 INFO opendrift:945: Using existing reader for land_binary_mask to move elements to ocean
14:11:12 INFO opendrift.readers.reader_shape:149: Building KDTree from 177 geometries with buffer distance 0.000000e+00
14:11:12 INFO opendrift:2086: 2018-01-01 00:00:00 - step 1 of 48 - 900 active elements (0 deactivated)
14:11:13 INFO opendrift:2086: 2018-01-01 01:00:00 - step 2 of 48 - 900 active elements (0 deactivated)
14:11:14 INFO opendrift:2086: 2018-01-01 02:00:00 - step 3 of 48 - 900 active elements (0 deactivated)
14:11:15 INFO opendrift:2086: 2018-01-01 03:00:00 - step 4 of 48 - 900 active elements (0 deactivated)
14:11:15 INFO opendrift:2086: 2018-01-01 04:00:00 - step 5 of 48 - 900 active elements (0 deactivated)
14:11:16 INFO opendrift:2086: 2018-01-01 05:00:00 - step 6 of 48 - 900 active elements (0 deactivated)
14:11:17 INFO opendrift:2086: 2018-01-01 06:00:00 - step 7 of 48 - 900 active elements (0 deactivated)
14:11:17 INFO opendrift:2086: 2018-01-01 07:00:00 - step 8 of 48 - 900 active elements (0 deactivated)
14:11:18 INFO opendrift:2086: 2018-01-01 08:00:00 - step 9 of 48 - 900 active elements (0 deactivated)
14:11:19 INFO opendrift:2086: 2018-01-01 09:00:00 - step 10 of 48 - 900 active elements (0 deactivated)
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14:11:29 INFO opendrift:2086: 2018-01-02 00:00:00 - step 25 of 48 - 900 active elements (0 deactivated)
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14:11:39 INFO opendrift:2086: 2018-01-02 13:00:00 - step 38 of 48 - 899 active elements (1 deactivated)
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14:11:47 INFO opendrift:2086: 2018-01-02 23:00:00 - step 48 of 48 - 899 active elements (1 deactivated)
The custom landmask from shapefile, which is used for the simulation, is also shown in the map instead of the default GSHHG
o.plot()
o.animation()

14:11:52 INFO opendrift:4613: Saving animation to /root/project/docs/source/gallery/animations/example_shape_landmask_0.gif...
14:12:24 INFO opendrift:3054: Time to make animation: 0:00:32.364834

Total running time of the script: (1 minutes 32.458 seconds)