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')

10:42:28 INFO    opendrift:509: OpenDriftSimulation initialised (version 1.13.1 / v1.13.1-25-g5021161)
10:42:28 INFO    opendrift.readers:61: Opening file with xr.open_dataset
10:42:34 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')

10:42:34 INFO    opendrift.readers.reader_shape:91: 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)

10:42:34 INFO    opendrift.models.basemodel.environment:229: Fallback values will be used for the following variables which have no readers:
10:42:34 INFO    opendrift.models.basemodel.environment:232:    x_wind: 0.000000
10:42:34 INFO    opendrift.models.basemodel.environment:232:    y_wind: 0.000000
10:42:34 INFO    opendrift.models.basemodel.environment:232:    upward_sea_water_velocity: 0.000000
10:42:34 INFO    opendrift.models.basemodel.environment:232:    ocean_vertical_diffusivity: 0.000000
10:42:34 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_significant_height: 0.000000
10:42:34 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_stokes_drift_x_velocity: 0.000000
10:42:34 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_stokes_drift_y_velocity: 0.000000
10:42:34 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_period_at_variance_spectral_density_maximum: 0.000000
10:42:34 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment: 0.000000
10:42:34 INFO    opendrift.models.basemodel.environment:232:    sea_surface_swell_wave_to_direction: 0.000000
10:42:34 INFO    opendrift.models.basemodel.environment:232:    sea_surface_swell_wave_peak_period_from_variance_spectral_density: 0.000000
10:42:34 INFO    opendrift.models.basemodel.environment:232:    sea_surface_swell_wave_significant_height: 0.000000
10:42:34 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wind_wave_to_direction: 0.000000
10:42:34 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wind_wave_mean_period: 0.000000
10:42:34 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wind_wave_significant_height: 0.000000
10:42:34 INFO    opendrift.models.basemodel.environment:232:    surface_downward_x_stress: 0.000000
10:42:34 INFO    opendrift.models.basemodel.environment:232:    surface_downward_y_stress: 0.000000
10:42:34 INFO    opendrift.models.basemodel.environment:232:    turbulent_kinetic_energy: 0.000000
10:42:34 INFO    opendrift.models.basemodel.environment:232:    turbulent_generic_length_scale: 0.000000
10:42:34 INFO    opendrift.models.basemodel.environment:232:    ocean_mixed_layer_thickness: 50.000000
10:42:34 INFO    opendrift:923: Using existing reader for land_binary_mask
10:42:34 INFO    opendrift:936: Moving 20 out of 900 points from land to water
10:42:34 WARNING opendrift:717: Seafloor check not being run because environment is missing. This will happen the first time the function is run but if it happens subsequently there is probably a problem.
10:42:34 INFO    opendrift:2060: 2018-01-01 00:00:00 - step 1 of 48 - 900 active elements (0 deactivated)
10:42:35 INFO    opendrift:2060: 2018-01-01 01:00:00 - step 2 of 48 - 900 active elements (0 deactivated)
10:42:36 INFO    opendrift:2060: 2018-01-01 02:00:00 - step 3 of 48 - 900 active elements (0 deactivated)
10:42:37 INFO    opendrift:2060: 2018-01-01 03:00:00 - step 4 of 48 - 900 active elements (0 deactivated)
10:42:38 INFO    opendrift:2060: 2018-01-01 04:00:00 - step 5 of 48 - 900 active elements (0 deactivated)
10:42:38 INFO    opendrift:2060: 2018-01-01 05:00:00 - step 6 of 48 - 900 active elements (0 deactivated)
10:42:39 INFO    opendrift:2060: 2018-01-01 06:00:00 - step 7 of 48 - 900 active elements (0 deactivated)
10:42:40 INFO    opendrift:2060: 2018-01-01 07:00:00 - step 8 of 48 - 900 active elements (0 deactivated)
10:42:41 INFO    opendrift:2060: 2018-01-01 08:00:00 - step 9 of 48 - 900 active elements (0 deactivated)
10:42:41 INFO    opendrift:2060: 2018-01-01 09:00:00 - step 10 of 48 - 900 active elements (0 deactivated)
10:42:42 INFO    opendrift:2060: 2018-01-01 10:00:00 - step 11 of 48 - 897 active elements (3 deactivated)
10:42:43 INFO    opendrift:2060: 2018-01-01 11:00:00 - step 12 of 48 - 897 active elements (3 deactivated)
10:42:44 INFO    opendrift:2060: 2018-01-01 12:00:00 - step 13 of 48 - 897 active elements (3 deactivated)
10:42:44 INFO    opendrift:2060: 2018-01-01 13:00:00 - step 14 of 48 - 897 active elements (3 deactivated)
10:42:45 INFO    opendrift:2060: 2018-01-01 14:00:00 - step 15 of 48 - 896 active elements (4 deactivated)
10:42:46 INFO    opendrift:2060: 2018-01-01 15:00:00 - step 16 of 48 - 896 active elements (4 deactivated)
10:42:46 INFO    opendrift:2060: 2018-01-01 16:00:00 - step 17 of 48 - 896 active elements (4 deactivated)
10:42:47 INFO    opendrift:2060: 2018-01-01 17:00:00 - step 18 of 48 - 896 active elements (4 deactivated)
10:42:48 INFO    opendrift:2060: 2018-01-01 18:00:00 - step 19 of 48 - 896 active elements (4 deactivated)
10:42:49 INFO    opendrift:2060: 2018-01-01 19:00:00 - step 20 of 48 - 896 active elements (4 deactivated)
10:42:49 INFO    opendrift:2060: 2018-01-01 20:00:00 - step 21 of 48 - 896 active elements (4 deactivated)
10:42:50 INFO    opendrift:2060: 2018-01-01 21:00:00 - step 22 of 48 - 896 active elements (4 deactivated)
10:42:51 INFO    opendrift:2060: 2018-01-01 22:00:00 - step 23 of 48 - 896 active elements (4 deactivated)
10:42:51 INFO    opendrift:2060: 2018-01-01 23:00:00 - step 24 of 48 - 896 active elements (4 deactivated)
10:42:52 INFO    opendrift:2060: 2018-01-02 00:00:00 - step 25 of 48 - 896 active elements (4 deactivated)
10:42:53 INFO    opendrift:2060: 2018-01-02 01:00:00 - step 26 of 48 - 896 active elements (4 deactivated)
10:42:54 INFO    opendrift:2060: 2018-01-02 02:00:00 - step 27 of 48 - 896 active elements (4 deactivated)
10:42:55 INFO    opendrift:2060: 2018-01-02 03:00:00 - step 28 of 48 - 896 active elements (4 deactivated)
10:42:56 INFO    opendrift:2060: 2018-01-02 04:00:00 - step 29 of 48 - 896 active elements (4 deactivated)
10:42:56 INFO    opendrift:2060: 2018-01-02 05:00:00 - step 30 of 48 - 896 active elements (4 deactivated)
10:42:57 INFO    opendrift:2060: 2018-01-02 06:00:00 - step 31 of 48 - 896 active elements (4 deactivated)
10:42:58 INFO    opendrift:2060: 2018-01-02 07:00:00 - step 32 of 48 - 896 active elements (4 deactivated)
10:42:59 INFO    opendrift:2060: 2018-01-02 08:00:00 - step 33 of 48 - 896 active elements (4 deactivated)
10:43:00 INFO    opendrift:2060: 2018-01-02 09:00:00 - step 34 of 48 - 896 active elements (4 deactivated)
10:43:00 INFO    opendrift:2060: 2018-01-02 10:00:00 - step 35 of 48 - 896 active elements (4 deactivated)
10:43:01 INFO    opendrift:2060: 2018-01-02 11:00:00 - step 36 of 48 - 896 active elements (4 deactivated)
10:43:02 INFO    opendrift:2060: 2018-01-02 12:00:00 - step 37 of 48 - 895 active elements (5 deactivated)
10:43:03 INFO    opendrift:2060: 2018-01-02 13:00:00 - step 38 of 48 - 894 active elements (6 deactivated)
10:43:04 INFO    opendrift:2060: 2018-01-02 14:00:00 - step 39 of 48 - 894 active elements (6 deactivated)
10:43:04 INFO    opendrift:2060: 2018-01-02 15:00:00 - step 40 of 48 - 894 active elements (6 deactivated)
10:43:05 INFO    opendrift:2060: 2018-01-02 16:00:00 - step 41 of 48 - 894 active elements (6 deactivated)
10:43:06 INFO    opendrift:2060: 2018-01-02 17:00:00 - step 42 of 48 - 894 active elements (6 deactivated)
10:43:07 INFO    opendrift:2060: 2018-01-02 18:00:00 - step 43 of 48 - 894 active elements (6 deactivated)
10:43:07 INFO    opendrift:2060: 2018-01-02 19:00:00 - step 44 of 48 - 894 active elements (6 deactivated)
10:43:08 INFO    opendrift:2060: 2018-01-02 20:00:00 - step 45 of 48 - 894 active elements (6 deactivated)
10:43:09 INFO    opendrift:2060: 2018-01-02 21:00:00 - step 46 of 48 - 894 active elements (6 deactivated)
10:43:10 INFO    opendrift:2060: 2018-01-02 22:00:00 - step 47 of 48 - 894 active elements (6 deactivated)
10:43:11 INFO    opendrift:2060: 2018-01-02 23:00:00 - step 48 of 48 - 894 active elements (6 deactivated)

<xarray.Dataset> Size: 6MB
Dimensions:                                                                              (
                                                                                          trajectory: 900,
                                                                                          time: 49)
Coordinates:
  * trajectory                                                                           (trajectory) int64 7kB ...
  * time                                                                                 (time) datetime64[ns] 392B ...
Data variables: (12/35)
    status                                                                               (trajectory, time) float32 176kB ...
    moving                                                                               (trajectory, time) float32 176kB ...
    age_seconds                                                                          (trajectory, time) float32 176kB ...
    origin_marker                                                                        (trajectory, time) float32 176kB ...
    lon                                                                                  (trajectory, time) float32 176kB ...
    lat                                                                                  (trajectory, time) float32 176kB ...
    ...                                                                                   ...
    surface_downward_y_stress                                                            (trajectory, time) float32 176kB ...
    turbulent_kinetic_energy                                                             (trajectory, time) float32 176kB ...
    turbulent_generic_length_scale                                                       (trajectory, time) float32 176kB ...
    ocean_mixed_layer_thickness                                                          (trajectory, time) float32 176kB ...
    sea_floor_depth_below_sea_level                                                      (trajectory, time) float32 176kB ...
    land_binary_mask                                                                     (trajectory, time) float32 176kB ...
Attributes: (12/153)
    Conventions:                                                             ...
    standard_name_vocabulary:                                                ...
    featureType:                                                             ...
    title:                                                                   ...
    summary:                                                                 ...
    keywords:                                                                ...
    ...                                                                                                               ...
    geospatial_lon_units:                                                    ...
    geospatial_lon_resolution:                                               ...
    runtime:                                                                 ...
    geospatial_vertical_min:                                                 ...
    geospatial_vertical_max:                                                 ...
    geospatial_vertical_positive:                                            ...

xarray.Dataset

• Dimensions:
  • trajectory: 900
  • time: 49
• Coordinates: (2)
  • trajectory
    (trajectory)
    int64
    0 1 2 3 4 5 ... 895 896 897 898 899

    cf_role :

    trajectory_id

    dtype :

    <class 'numpy.int32'>

    array([  0,   1,   2, ..., 897, 898, 899])

  • time
    (time)
    datetime64[ns]
    2018-01-01 ... 2018-01-03

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2018-01-01T00:00:00.000000000', '2018-01-01T01:00:00.000000000',
           '2018-01-01T02:00:00.000000000', '2018-01-01T03:00:00.000000000',
           '2018-01-01T04:00:00.000000000', '2018-01-01T05:00:00.000000000',
           '2018-01-01T06:00:00.000000000', '2018-01-01T07:00:00.000000000',
           '2018-01-01T08:00:00.000000000', '2018-01-01T09:00:00.000000000',
           '2018-01-01T10:00:00.000000000', '2018-01-01T11:00:00.000000000',
           '2018-01-01T12:00:00.000000000', '2018-01-01T13:00:00.000000000',
           '2018-01-01T14:00:00.000000000', '2018-01-01T15:00:00.000000000',
           '2018-01-01T16:00:00.000000000', '2018-01-01T17:00:00.000000000',
           '2018-01-01T18:00:00.000000000', '2018-01-01T19:00:00.000000000',
           '2018-01-01T20:00:00.000000000', '2018-01-01T21:00:00.000000000',
           '2018-01-01T22:00:00.000000000', '2018-01-01T23:00:00.000000000',
           '2018-01-02T00:00:00.000000000', '2018-01-02T01:00:00.000000000',
           '2018-01-02T02:00:00.000000000', '2018-01-02T03:00:00.000000000',
           '2018-01-02T04:00:00.000000000', '2018-01-02T05:00:00.000000000',
           '2018-01-02T06:00:00.000000000', '2018-01-02T07:00:00.000000000',
           '2018-01-02T08:00:00.000000000', '2018-01-02T09:00:00.000000000',
           '2018-01-02T10:00:00.000000000', '2018-01-02T11:00:00.000000000',
           '2018-01-02T12:00:00.000000000', '2018-01-02T13:00:00.000000000',
           '2018-01-02T14:00:00.000000000', '2018-01-02T15:00:00.000000000',
           '2018-01-02T16:00:00.000000000', '2018-01-02T17:00:00.000000000',
           '2018-01-02T18:00:00.000000000', '2018-01-02T19:00:00.000000000',
           '2018-01-02T20:00:00.000000000', '2018-01-02T21:00:00.000000000',
           '2018-01-02T22:00:00.000000000', '2018-01-02T23:00:00.000000000',
           '2018-01-03T00:00:00.000000000'], dtype='datetime64[ns]')

• Data variables: (35)
  • status
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

    dtype :

    <class 'numpy.int32'>

    valid_range :

    [0 1]

    flag_values :

    [0 1]

    flag_meanings :

    active stranded

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

  • moving
    (trajectory, time)
    float32
    1.0 1.0 1.0 1.0 ... 1.0 1.0 1.0 1.0

    dtype :

    <class 'numpy.int32'>

    minval :

    0

    maxval :

    1

    array([[1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.],
           ...,
           [1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.]], dtype=float32)

  • age_seconds
    (trajectory, time)
    float32
    0.0 3.6e+03 ... 1.692e+05 1.728e+05

    dtype :

    <class 'numpy.float32'>

    units :

    s

    minval :

    0.0

    maxval :

    172800.0

    array([[     0.,   3600.,   7200., ..., 165600., 169200., 172800.],
           [     0.,   3600.,   7200., ..., 165600., 169200., 172800.],
           [     0.,   3600.,   7200., ..., 165600., 169200., 172800.],
           ...,
           [     0.,   3600.,   7200., ..., 165600., 169200., 172800.],
           [     0.,   3600.,   7200., ..., 165600., 169200., 172800.],
           [     0.,   3600.,   7200., ..., 165600., 169200., 172800.]],
          dtype=float32)

  • origin_marker
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

    dtype :

    <class 'numpy.int32'>

    unit :

    description :

    An integer kept constant during the simulation. Different values may be used for different seedings, to separate elements during analysis. With GUI, only a single seeding is possible.

    flag_values :

    [0]

    flag_meanings :

    Seed_0

    minval :

    0

    maxval :

    0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

  • lon
    (trajectory, time)
    float32
    12.0 12.0 12.0 ... 14.77 14.78

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    11.736831

    maxval :

    15.01736

    array([[12.       , 11.997452 , 11.996539 , ..., 12.042464 , 12.026886 ,
            12.011368 ],
           [12.093103 , 12.084867 , 12.079823 , ..., 12.081334 , 12.06083  ,
            12.037527 ],
           [12.186207 , 12.174832 , 12.1664295, ..., 12.233293 , 12.236251 ,
            12.22998  ],
           ...,
           [14.513793 , 14.511426 , 14.506775 , ..., 14.576147 , 14.579472 ,
            14.588467 ],
           [14.606896 , 14.602464 , 14.595815 , ..., 14.669507 , 14.674632 ,
            14.688006 ],
           [14.7      , 14.691974 , 14.683078 , ..., 14.763984 , 14.766288 ,
            14.778265 ]], dtype=float32)

  • lat
    (trajectory, time)
    float32
    67.5 67.51 67.52 ... 68.53 68.53

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    67.4565

    maxval :

    68.95808

    array([[67.5     , 67.5084  , 67.51727 , ..., 67.480865, 67.47427 ,
            67.47025 ],
           [67.5     , 67.511856, 67.52474 , ..., 67.50983 , 67.50091 ,
            67.49638 ],
           [67.5     , 67.50921 , 67.51988 , ..., 67.63559 , 67.627655,
            67.62181 ],
           ...,
           [68.5     , 68.501595, 68.50354 , ..., 68.51695 , 68.516014,
            68.51357 ],
           [68.5     , 68.50275 , 68.50559 , ..., 68.52668 , 68.52585 ,
            68.52391 ],
           [68.5     , 68.5035  , 68.507   , ..., 68.531654, 68.53107 ,
            68.52969 ]], dtype=float32)

  • z
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

    dtype :

    <class 'numpy.float32'>

    units :

    m

    standard_name :

    z

    long_name :

    vertical position

    axis :

    Z

    positive :

    up

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

  • wind_drift_factor
    (trajectory, time)
    float32
    0.02 0.02 0.02 ... 0.02 0.02 0.02

    dtype :

    <class 'numpy.float32'>

    units :

    1

    description :

    Elements at surface are moved with this fraction of the vind vector, in addition to currents and Stokes drift

    minval :

    0.02

    maxval :

    0.02

    array([[0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           ...,
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02]], dtype=float32)

  • current_drift_factor
    (trajectory, time)
    float32
    1.0 1.0 1.0 1.0 ... 1.0 1.0 1.0 1.0

    dtype :

    <class 'numpy.float32'>

    units :

    1

    description :

    Elements are moved with this fraction of the current vector, in addition to currents and Stokes drift

    minval :

    1.0

    maxval :

    1.0

    array([[1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.],
           ...,
           [1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.]], dtype=float32)

  • terminal_velocity
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

    dtype :

    <class 'numpy.float32'>

    units :

    m/s

    description :

    Terminal rise/sinking velocity (buoyancy) in the ocean column

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

  • x_sea_water_velocity
    (trajectory, time)
    float32
    -0.03022 -0.01082 ... 0.136 0.136

    minval :

    -0.8460259

    maxval :

    0.6789665

    array([[-0.0302242 , -0.01082446,  0.04168543, ..., -0.18507469,
            -0.18439074, -0.18439074],
           [-0.09770244, -0.05979908,  0.02131425, ..., -0.24332722,
            -0.27658236, -0.27658236],
           [-0.13492824, -0.09964123,  0.00095749, ...,  0.03491772,
            -0.0740373 , -0.0740373 ],
           ...,
           [-0.02690142, -0.05285408, -0.00351099, ...,  0.03776784,
             0.10217573,  0.10217573],
           [-0.05037567, -0.07555009, -0.02841387, ...,  0.05817405,
             0.15185152,  0.15185152],
           [-0.09120531, -0.10108219, -0.03829924, ...,  0.02615485,
             0.13595879,  0.13595879]], dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    0.2603 0.2748 ... -0.04247 -0.04247

    minval :

    -0.6515055

    maxval :

    0.71650165

    array([[ 0.26031038,  0.27479264,  0.22772726, ..., -0.20409262,
            -0.12475016, -0.12475016],
           [ 0.36721167,  0.39940453,  0.3555251 , ..., -0.27603802,
            -0.14031538, -0.14031538],
           [ 0.28540856,  0.3306092 ,  0.38958353, ..., -0.24593176,
            -0.18094182, -0.18094182],
           ...,
           [ 0.04939382,  0.06029083,  0.04300725, ..., -0.02925537,
            -0.07558443, -0.07558443],
           [ 0.08512232,  0.08808121,  0.05956256, ..., -0.02578659,
            -0.06010037, -0.06010037],
           [ 0.1085401 ,  0.10849927,  0.07204667, ..., -0.01815945,
            -0.04246837, -0.04246837]], dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    0.4886 0.1452 ... 0.7494 0.7494

    minval :

    -0.9012145

    maxval :

    1.3849168

    array([[ 0.4885727 ,  0.14518009, -0.23342127, ...,  0.69381565,
             0.9271336 ,  0.9271336 ],
           [ 0.49601212,  0.14858449, -0.23339249, ...,  0.6868712 ,
             0.9250665 ,  0.9250665 ],
           [ 0.5100306 ,  0.16070476, -0.22413799, ...,  0.65037316,
             0.9040799 ,  0.9040799 ],
           ...,
           [ 0.5761482 ,  0.17977753, -0.16351034, ...,  0.50847673,
             0.7735466 ,  0.7735466 ],
           [ 0.6066889 ,  0.16449788, -0.1577677 , ...,  0.50957394,
             0.7756366 ,  0.7756366 ],
           [ 0.6454551 ,  0.1502195 , -0.14475574, ...,  0.5072703 ,
             0.74939203,  0.74939203]], dtype=float32)

  • x_wind
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

  • upward_sea_water_velocity
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

  • ocean_vertical_diffusivity
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

  • sea_surface_wave_significant_height
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

  • sea_surface_wave_stokes_drift_x_velocity
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

  • sea_surface_wave_stokes_drift_y_velocity
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

  • sea_surface_wave_period_at_variance_spectral_density_maximum
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

  • sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment
    (trajectory, time)
    float32
    1.257 1.257 1.257 ... 1.257 1.257

    minval :

    1.2566371

    maxval :

    1.2566371

    array([[1.2566371, 1.2566371, 1.2566371, ..., 1.2566371, 1.2566371,
            1.2566371],
           [1.2566371, 1.2566371, 1.2566371, ..., 1.2566371, 1.2566371,
            1.2566371],
           [1.2566371, 1.2566371, 1.2566371, ..., 1.2566371, 1.2566371,
            1.2566371],
           ...,
           [1.2566371, 1.2566371, 1.2566371, ..., 1.2566371, 1.2566371,
            1.2566371],
           [1.2566371, 1.2566371, 1.2566371, ..., 1.2566371, 1.2566371,
            1.2566371],
           [1.2566371, 1.2566371, 1.2566371, ..., 1.2566371, 1.2566371,
            1.2566371]], dtype=float32)

  • sea_surface_swell_wave_to_direction
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

  • sea_surface_swell_wave_peak_period_from_variance_spectral_density
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

  • sea_surface_swell_wave_significant_height
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

  • sea_surface_wind_wave_to_direction
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

  • sea_surface_wind_wave_mean_period
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

  • sea_surface_wind_wave_significant_height
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

  • surface_downward_x_stress
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

  • surface_downward_y_stress
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

  • turbulent_kinetic_energy
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

  • turbulent_generic_length_scale
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

  • ocean_mixed_layer_thickness
    (trajectory, time)
    float32
    50.0 50.0 50.0 ... 50.0 50.0 50.0

    minval :

    50.0

    maxval :

    50.0

    array([[50., 50., 50., ..., 50., 50., 50.],
           [50., 50., 50., ..., 50., 50., 50.],
           [50., 50., 50., ..., 50., 50., 50.],
           ...,
           [50., 50., 50., ..., 50., 50., 50.],
           [50., 50., 50., ..., 50., 50., 50.],
           [50., 50., 50., ..., 50., 50., 50.]], dtype=float32)

  • sea_floor_depth_below_sea_level
    (trajectory, time)
    float32
    37.83 28.45 27.92 ... 104.7 104.7

    minval :

    13.10846

    maxval :

    587.7403

    array([[ 37.83102 ,  28.450031,  27.918837, ...,  60.499332,  74.06521 ,
             74.06521 ],
           [ 37.7253  ,  27.173382,  22.535423, ...,  28.159538,  31.960485,
             31.960485],
           [ 68.96143 ,  55.077778,  41.49744 , ...,  92.60866 ,  89.278564,
             89.278564],
           ...,
           [ 90.27191 ,  89.385544,  87.955826, ...,  69.01944 ,  69.51657 ,
             69.51657 ],
           [ 82.25936 ,  80.15463 ,  78.26681 , ..., 103.38223 , 105.80315 ,
            105.80315 ],
           [105.92709 , 106.37079 , 105.590385, ..., 104.741135, 104.66637 ,
            104.66637 ]], dtype=float32)

  • land_binary_mask
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

• Indexes: (2)
  • trajectory
    PandasIndex

    PandasIndex(Index([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,
           ...
           890, 891, 892, 893, 894, 895, 896, 897, 898, 899],
          dtype='int64', name='trajectory', length=900))

  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['2018-01-01 00:00:00', '2018-01-01 01:00:00',
                   '2018-01-01 02:00:00', '2018-01-01 03:00:00',
                   '2018-01-01 04:00:00', '2018-01-01 05:00:00',
                   '2018-01-01 06:00:00', '2018-01-01 07:00:00',
                   '2018-01-01 08:00:00', '2018-01-01 09:00:00',
                   '2018-01-01 10:00:00', '2018-01-01 11:00:00',
                   '2018-01-01 12:00:00', '2018-01-01 13:00:00',
                   '2018-01-01 14:00:00', '2018-01-01 15:00:00',
                   '2018-01-01 16:00:00', '2018-01-01 17:00:00',
                   '2018-01-01 18:00:00', '2018-01-01 19:00:00',
                   '2018-01-01 20:00:00', '2018-01-01 21:00:00',
                   '2018-01-01 22:00:00', '2018-01-01 23:00:00',
                   '2018-01-02 00:00:00', '2018-01-02 01:00:00',
                   '2018-01-02 02:00:00', '2018-01-02 03:00:00',
                   '2018-01-02 04:00:00', '2018-01-02 05:00:00',
                   '2018-01-02 06:00:00', '2018-01-02 07:00:00',
                   '2018-01-02 08:00:00', '2018-01-02 09:00:00',
                   '2018-01-02 10:00:00', '2018-01-02 11:00:00',
                   '2018-01-02 12:00:00', '2018-01-02 13:00:00',
                   '2018-01-02 14:00:00', '2018-01-02 15:00:00',
                   '2018-01-02 16:00:00', '2018-01-02 17:00:00',
                   '2018-01-02 18:00:00', '2018-01-02 19:00:00',
                   '2018-01-02 20:00:00', '2018-01-02 21:00:00',
                   '2018-01-02 22:00:00', '2018-01-02 23:00:00',
                   '2018-01-03 00:00:00'],
                  dtype='datetime64[ns]', name='time', freq='h'))

• Attributes: (153)

  Conventions :

  CF-1.11, ACDD-1.3

  standard_name_vocabulary :

  CF Standard Name Table v85

  featureType :

  trajectory

  title :

  OpenDrift trajectory simulation

  summary :

  Output from simulation with OpenDrift framework

  keywords :

  trajectory, drift, lagrangian, simulation

  history :

  Created 2025-04-22 10:42:34.852784

  date_created :

  2025-04-22T10:42:34.852794

  source :

  Output from simulation with OpenDrift

  model_url :

  https://github.com/OpenDrift/opendrift

  opendrift_class :

  OceanDrift

  opendrift_module :

  opendrift.models.oceandrift

  readers :

  odict_keys(['shape', 'https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml'])

  time_coverage_start :

  2018-01-01 00:00:00

  time_step_calculation :

  1:00:00

  time_step_output :

  1:00:00

  config_environment:constant:x_sea_water_velocity :

  None

  config_environment:fallback:x_sea_water_velocity :

  0

  config_environment:constant:y_sea_water_velocity :

  None

  config_environment:fallback:y_sea_water_velocity :

  0

  config_environment:constant:sea_surface_height :

  None

  config_environment:fallback:sea_surface_height :

  0

  config_environment:constant:x_wind :

  None

  config_environment:fallback:x_wind :

  0

  config_environment:constant:y_wind :

  None

  config_environment:fallback:y_wind :

  0

  config_environment:constant:upward_sea_water_velocity :

  None

  config_environment:fallback:upward_sea_water_velocity :

  0

  config_environment:constant:ocean_vertical_diffusivity :

  None

  config_environment:fallback:ocean_vertical_diffusivity :

  0

  config_environment:constant:sea_surface_wave_significant_height :

  None

  config_environment:fallback:sea_surface_wave_significant_height :

  0

  config_environment:constant:sea_surface_wave_stokes_drift_x_velocity :

  None

  config_environment:fallback:sea_surface_wave_stokes_drift_x_velocity :

  0

  config_environment:constant:sea_surface_wave_stokes_drift_y_velocity :

  None

  config_environment:fallback:sea_surface_wave_stokes_drift_y_velocity :

  0

  config_environment:constant:sea_surface_wave_period_at_variance_spectral_density_maximum :

  None

  config_environment:fallback:sea_surface_wave_period_at_variance_spectral_density_maximum :

  0

  config_environment:constant:sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment :

  None

  config_environment:fallback:sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment :

  0

  config_environment:constant:sea_surface_swell_wave_to_direction :

  None

  config_environment:fallback:sea_surface_swell_wave_to_direction :

  0

  config_environment:constant:sea_surface_swell_wave_peak_period_from_variance_spectral_density :

  None

  config_environment:fallback:sea_surface_swell_wave_peak_period_from_variance_spectral_density :

  0

  config_environment:constant:sea_surface_swell_wave_significant_height :

  None

  config_environment:fallback:sea_surface_swell_wave_significant_height :

  0

  config_environment:constant:sea_surface_wind_wave_to_direction :

  None

  config_environment:fallback:sea_surface_wind_wave_to_direction :

  0

  config_environment:constant:sea_surface_wind_wave_mean_period :

  None

  config_environment:fallback:sea_surface_wind_wave_mean_period :

  0

  config_environment:constant:sea_surface_wind_wave_significant_height :

  None

  config_environment:fallback:sea_surface_wind_wave_significant_height :

  0

  config_environment:constant:surface_downward_x_stress :

  None

  config_environment:fallback:surface_downward_x_stress :

  0

  config_environment:constant:surface_downward_y_stress :

  None

  config_environment:fallback:surface_downward_y_stress :

  0

  config_environment:constant:turbulent_kinetic_energy :

  None

  config_environment:fallback:turbulent_kinetic_energy :

  0

  config_environment:constant:turbulent_generic_length_scale :

  None

  config_environment:fallback:turbulent_generic_length_scale :

  0

  config_environment:constant:ocean_mixed_layer_thickness :

  None

  config_environment:fallback:ocean_mixed_layer_thickness :

  50

  config_environment:constant:sea_floor_depth_below_sea_level :

  None

  config_environment:fallback:sea_floor_depth_below_sea_level :

  10000

  config_environment:constant:land_binary_mask :

  None

  config_environment:fallback:land_binary_mask :

  None

  config_general:use_auto_landmask :

  False

  config_drift:current_uncertainty :

  0

  config_drift:current_uncertainty_uniform :

  0

  config_drift:max_speed :

  2.0

  config_readers:max_number_of_fails :

  1

  config_general:simulation_name :

  config_general:coastline_action :

  stranding

  config_general:coastline_approximation_precision :

  0.001

  config_general:time_step_minutes :

  60

  config_general:time_step_output_minutes :

  None

  config_seed:ocean_only :

  True

  config_seed:number :

  1

  config_drift:max_age_seconds :

  None

  config_drift:advection_scheme :

  euler

  config_drift:horizontal_diffusivity :

  0

  config_drift:profiles_depth :

  50

  config_drift:wind_uncertainty :

  0

  config_drift:relative_wind :

  False

  config_drift:deactivate_north_of :

  None

  config_drift:deactivate_south_of :

  None

  config_drift:deactivate_east_of :

  None

  config_drift:deactivate_west_of :

  None

  config_seed:origin_marker :

  0

  config_seed:z :

  0

  config_seed:wind_drift_factor :

  0.02

  config_seed:current_drift_factor :

  1

  config_seed:terminal_velocity :

  0.0

  config_drift:vertical_advection :

  True

  config_drift:vertical_mixing :

  False

  config_vertical_mixing:timestep :

  60

  config_vertical_mixing:diffusivitymodel :

  environment

  config_vertical_mixing:background_diffusivity :

  1.2e-05

  config_vertical_mixing:TSprofiles :

  False

  config_drift:wind_drift_depth :

  0.1

  config_drift:stokes_drift :

  True

  config_drift:stokes_drift_profile :

  Phillips

  config_drift:use_tabularised_stokes_drift :

  False

  config_drift:tabularised_stokes_drift_fetch :

  25000

  config_general:seafloor_action :

  lift_to_seafloor

  config_drift:truncate_ocean_model_below_m :

  None

  config_seed:seafloor :

  False

  opendrift_version :

  1.13.1

  seed_geojson :

  {"features": [], "type": "FeatureCollection"}

  simulation_time :

  2025-04-22 10:42:34.884851

  reader_x_sea_water_velocity :

  ['https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml']

  reader_y_sea_water_velocity :

  ['https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml']

  reader_sea_surface_height :

  ['https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml']

  reader_x_wind :

  0

  reader_y_wind :

  0

  reader_upward_sea_water_velocity :

  0

  reader_ocean_vertical_diffusivity :

  0

  reader_sea_surface_wave_significant_height :

  0

  reader_sea_surface_wave_stokes_drift_x_velocity :

  0

  reader_sea_surface_wave_stokes_drift_y_velocity :

  0

  reader_sea_surface_wave_period_at_variance_spectral_density_maximum :

  0

  reader_sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment :

  0

  reader_sea_surface_swell_wave_to_direction :

  0

  reader_sea_surface_swell_wave_peak_period_from_variance_spectral_density :

  0

  reader_sea_surface_swell_wave_significant_height :

  0

  reader_sea_surface_wind_wave_to_direction :

  0

  reader_sea_surface_wind_wave_mean_period :

  0

  reader_sea_surface_wind_wave_significant_height :

  0

  reader_surface_downward_x_stress :

  0

  reader_surface_downward_y_stress :

  0

  reader_turbulent_kinetic_energy :

  0

  reader_turbulent_generic_length_scale :

  0

  reader_ocean_mixed_layer_thickness :

  50

  reader_sea_floor_depth_below_sea_level :

  ['https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml']

  reader_land_binary_mask :

  ['shape']

  time_coverage_end :

  2018-01-03 00:00:00

  time_coverage_duration :

  P2DT0H0M0S

  time_coverage_resolution :

  P0DT1H0M0S

  performance :

  -------------------- Reader performance: -------------------- shape 0:00:00.0 total 0:00:00.0 preparing 0:00:00.0 reading 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml 0:00:34.8 total 0:00:00.0 preparing 0:00:34.3 reading 0:00:00.1 interpolation 0:00:00.0 interpolation_time 0:00:00.4 rotating vectors 0:00:00.0 masking -------------------- Performance: 42.9 total time 5.9 configuration 0.0 preparing main loop 0.0 moving elements to ocean 36.9 main loop 0.0 updating elements 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  67.4565

  geospatial_lat_max :

  68.95808

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  11.736831

  geospatial_lon_max :

  15.01736

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:00:42.979376

  geospatial_vertical_min :

  0.0

  geospatial_vertical_max :

  0.0

  geospatial_vertical_positive :

  up

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()

10:43:17 INFO    opendrift:4607: Saving animation to /root/project/docs/source/gallery/animations/example_shape_landmask_0.gif...
10:43:44 INFO    opendrift:3043: Time to make animation: 0:00:28.330547