Cone seeding

from datetime import datetime, timedelta
from opendrift.readers import reader_netCDF_CF_generic
from opendrift.models.openoil import OpenOil

o = OpenOil(loglevel=20)  # Set loglevel to 0 for debug information

17:03:30 INFO    opendrift:569: OpenDriftSimulation initialised (version 1.14.11 / v1.14.12-66-g07283eb)

Using live data from Thredds

o.add_readers_from_list([
    'https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be'])

Adjusting some configuration

o.set_config('processes:dispersion', True)
o.set_config('processes:evaporation', False)
o.set_config('processes:emulsification', True)

Seed elements along cone, e.g. ship track with increasing uncertainty in position

latstart = 68.988911
lonstart = 16.040701
latend = 69.991446
lonend = 17.760061
time = [datetime.utcnow(), datetime.utcnow() + timedelta(hours=12)]
o.seed_cone(lon=[lonstart, lonend], lat=[latstart, latend],
            oil_type='EKOFISK', radius=[100, 800], number=10000, time=[time])

print(o)

/root/project/examples/example_cone.py:31: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  time = [datetime.utcnow(), datetime.utcnow() + timedelta(hours=12)]
17:03:30 INFO    opendrift.models.basemodel.environment:203: Adding a global landmask from GSHHG
17:03:36 INFO    opendrift.models.basemodel.environment:227: Fallback values will be used for the following variables which have no readers:
17:03:36 INFO    opendrift.models.basemodel.environment:230:    sea_surface_height: 0.000000
17:03:36 INFO    opendrift.models.basemodel.environment:230:    upward_sea_water_velocity: 0.000000
17:03:36 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_significant_height: 0.000000
17:03:36 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_stokes_drift_x_velocity: 0.000000
17:03:36 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_stokes_drift_y_velocity: 0.000000
17:03:36 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_period_at_variance_spectral_density_maximum: 0.000000
17:03:36 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment: 0.000000
17:03:36 INFO    opendrift.models.basemodel.environment:230:    sea_ice_area_fraction: 0.000000
17:03:36 INFO    opendrift.models.basemodel.environment:230:    sea_ice_x_velocity: 0.000000
17:03:36 INFO    opendrift.models.basemodel.environment:230:    sea_ice_y_velocity: 0.000000
17:03:36 INFO    opendrift.models.basemodel.environment:230:    sea_water_temperature: 10.000000
17:03:36 INFO    opendrift.models.basemodel.environment:230:    sea_water_salinity: 34.000000
17:03:36 INFO    opendrift.models.basemodel.environment:230:    sea_floor_depth_below_sea_level: 10000.000000
17:03:36 INFO    opendrift.models.basemodel.environment:230:    horizontal_diffusivity: 0.000000
17:03:36 INFO    opendrift.models.basemodel.environment:230:    ocean_vertical_diffusivity: 0.020000
17:03:36 INFO    opendrift.models.basemodel.environment:230:    ocean_mixed_layer_thickness: 50.000000
17:03:36 INFO    opendrift.models.openoil.adios.dirjs:86: Querying ADIOS database for oil: EKOFISK
17:03:36 WARNING opendrift.models.openoil.adios.dirjs:90: Several oils found with name: EKOFISK: ['AD00328', 'AD00329', 'AD00332', 'AD00333', 'AD01944', 'AD02094', 'AD02463', 'AD02558', 'NO00013', 'NO00014', 'NO00015', 'NO00016'], using first.
17:03:36 INFO    opendrift.models.openoil.openoil:1731: Using density 809.002835 and viscosity 3.3498550728972226e-06 of oiltype EKOFISK
===========================
Model:  OpenOil     (OpenDrift version 1.14.11)
        0 active Oil particles  (0 deactivated, 10000 scheduled)
-------------------
Environment variables:
  -----
  land_binary_mask
     1) global_landmask
  -----
Readers not added for the following variables:
  horizontal_diffusivity
  ocean_mixed_layer_thickness
  ocean_vertical_diffusivity
  sea_floor_depth_below_sea_level
  sea_ice_area_fraction
  sea_ice_x_velocity
  sea_ice_y_velocity
  sea_surface_height
  sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment
  sea_surface_wave_period_at_variance_spectral_density_maximum
  sea_surface_wave_significant_height
  sea_surface_wave_stokes_drift_x_velocity
  sea_surface_wave_stokes_drift_y_velocity
  sea_water_salinity
  sea_water_temperature
  upward_sea_water_velocity
  x_sea_water_velocity
  x_wind
  y_sea_water_velocity
  y_wind
---
Lazy readers:
  LazyReader: https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be

Discarded readers:
===========================

Running model for 24 hours

o.run(steps=24*2, time_step=1800, time_step_output=3600)

17:03:36 INFO    opendrift:1911: Skipping environment variable upward_sea_water_velocity because of condition ['drift:vertical_advection', 'is', False]
17:03:36 INFO    opendrift:1922: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
17:03:36 INFO    opendrift:1922: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
17:03:37 INFO    opendrift:958: Using existing reader for land_binary_mask to move elements to ocean
17:03:37 INFO    opendrift:990: All points are in ocean
17:03:37 INFO    opendrift.models.openoil.openoil:697: Oil-water surface tension is 0.027884 Nm
17:03:37 INFO    opendrift.models.openoil.openoil:710: Max water fraction not available for EKOFISK, using default
17:03:37 INFO    opendrift:2238: 2026-10-26 17:03:30.968029 - step 1 of 48 - 417 active elements (0 deactivated)
17:03:37 INFO    opendrift.readers:67: Opening file with xr.open_dataset
17:03:39 INFO    opendrift.readers.reader_netCDF_CF_generic:340: Detected dimensions: {'x': 'X', 'y': 'Y', 'z': 'depth', 'time': 'time'}
17:03:39 INFO    opendrift.readers.basereader:175: Variable x_sea_water_velocity will be rotated from eastward_sea_water_velocity
17:03:39 INFO    opendrift.readers.basereader:175: Variable y_sea_water_velocity will be rotated from northward_sea_water_velocity
17:03:39 INFO    opendrift.readers.basereader:175: Variable x_wind will be rotated from eastward_wind
17:03:39 INFO    opendrift.readers.basereader:175: Variable y_wind will be rotated from northward_wind
17:03:44 INFO    opendrift:2238: 2026-10-26 17:33:30.968029 - step 2 of 48 - 834 active elements (0 deactivated)
17:03:44 INFO    opendrift:2238: 2026-10-26 18:03:30.968029 - step 3 of 48 - 1250 active elements (0 deactivated)
17:03:46 WARNING opendrift.readers.basereader.structured:324: Data block from https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
17:03:46 INFO    opendrift:2238: 2026-10-26 18:33:30.968029 - step 4 of 48 - 1667 active elements (0 deactivated)
17:03:46 WARNING opendrift.readers.basereader.structured:324: Data block from https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
17:03:46 INFO    opendrift:2238: 2026-10-26 19:03:30.968029 - step 5 of 48 - 2084 active elements (0 deactivated)
17:03:48 WARNING opendrift.readers.basereader.structured:324: Data block from https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
17:03:49 INFO    opendrift:2238: 2026-10-26 19:33:30.968029 - step 6 of 48 - 2500 active elements (0 deactivated)
17:03:49 WARNING opendrift.readers.basereader.structured:324: Data block from https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
17:03:49 INFO    opendrift:2238: 2026-10-26 20:03:30.968029 - step 7 of 48 - 2917 active elements (0 deactivated)
17:03:53 WARNING opendrift.readers.basereader.structured:324: Data block from https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
17:03:53 INFO    opendrift:2238: 2026-10-26 20:33:30.968029 - step 8 of 48 - 3334 active elements (0 deactivated)
17:03:53 WARNING opendrift.readers.basereader.structured:324: Data block from https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
17:03:53 INFO    opendrift:2238: 2026-10-26 21:03:30.968029 - step 9 of 48 - 3750 active elements (0 deactivated)
17:04:00 WARNING opendrift.readers.basereader.structured:324: Data block from https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
17:04:00 INFO    opendrift:2238: 2026-10-26 21:33:30.968029 - step 10 of 48 - 4167 active elements (0 deactivated)
17:04:00 WARNING opendrift.readers.basereader.structured:324: Data block from https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
17:04:00 INFO    opendrift:2238: 2026-10-26 22:03:30.968029 - step 11 of 48 - 4583 active elements (0 deactivated)
17:04:05 WARNING opendrift.readers.basereader.structured:324: Data block from https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
17:04:06 INFO    opendrift:2238: 2026-10-26 22:33:30.968029 - step 12 of 48 - 5000 active elements (0 deactivated)
17:04:06 WARNING opendrift.readers.basereader.structured:324: Data block from https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
17:04:06 INFO    opendrift:2238: 2026-10-26 23:03:30.968029 - step 13 of 48 - 5417 active elements (0 deactivated)
17:04:12 WARNING opendrift.readers.basereader.structured:324: Data block from https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
17:04:12 INFO    opendrift:2238: 2026-10-26 23:33:30.968029 - step 14 of 48 - 5833 active elements (0 deactivated)
17:04:12 WARNING opendrift.readers.basereader.structured:324: Data block from https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
17:04:12 INFO    opendrift:2238: 2026-10-27 00:03:30.968029 - step 15 of 48 - 6250 active elements (0 deactivated)
17:04:16 WARNING opendrift.readers.basereader.structured:324: Data block from https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
17:04:16 INFO    opendrift:2238: 2026-10-27 00:33:30.968029 - step 16 of 48 - 6667 active elements (0 deactivated)
17:04:16 WARNING opendrift.readers.basereader.structured:324: Data block from https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
17:04:16 INFO    opendrift:2238: 2026-10-27 01:03:30.968029 - step 17 of 48 - 7083 active elements (0 deactivated)
17:04:21 WARNING opendrift.readers.basereader.structured:324: Data block from https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
17:04:21 INFO    opendrift:2238: 2026-10-27 01:33:30.968029 - step 18 of 48 - 7500 active elements (0 deactivated)
17:04:21 WARNING opendrift.readers.basereader.structured:324: Data block from https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
17:04:21 INFO    opendrift:2238: 2026-10-27 02:03:30.968029 - step 19 of 48 - 7916 active elements (0 deactivated)
17:04:27 WARNING opendrift.readers.basereader.structured:324: Data block from https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
17:04:28 INFO    opendrift:2238: 2026-10-27 02:33:30.968029 - step 20 of 48 - 8333 active elements (0 deactivated)
17:04:28 WARNING opendrift.readers.basereader.structured:324: Data block from https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
17:04:28 INFO    opendrift:2238: 2026-10-27 03:03:30.968029 - step 21 of 48 - 8750 active elements (0 deactivated)
17:04:32 WARNING opendrift.readers.basereader.structured:324: Data block from https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
17:04:32 INFO    opendrift:2238: 2026-10-27 03:33:30.968029 - step 22 of 48 - 9166 active elements (0 deactivated)
17:04:32 WARNING opendrift.readers.basereader.structured:324: Data block from https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
17:04:33 INFO    opendrift:2238: 2026-10-27 04:03:30.968029 - step 23 of 48 - 9583 active elements (0 deactivated)
17:04:36 WARNING opendrift.readers.basereader.structured:324: Data block from https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
17:04:37 INFO    opendrift:2238: 2026-10-27 04:33:30.968029 - step 24 of 48 - 10000 active elements (0 deactivated)
17:04:37 WARNING opendrift.readers.basereader.structured:324: Data block from https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
17:04:37 INFO    opendrift:2238: 2026-10-27 05:03:30.968029 - step 25 of 48 - 10000 active elements (0 deactivated)
17:04:42 WARNING opendrift.readers.basereader.structured:324: Data block from https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
17:04:42 INFO    opendrift:2238: 2026-10-27 05:33:30.968029 - step 26 of 48 - 10000 active elements (0 deactivated)
17:04:42 WARNING opendrift.readers.basereader.structured:324: Data block from https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
17:04:43 INFO    opendrift:2238: 2026-10-27 06:03:30.968029 - step 27 of 48 - 9998 active elements (2 deactivated)
17:04:46 INFO    opendrift:2238: 2026-10-27 06:33:30.968029 - step 28 of 48 - 9989 active elements (11 deactivated)
17:04:47 INFO    opendrift:2238: 2026-10-27 07:03:30.968029 - step 29 of 48 - 9971 active elements (29 deactivated)
17:04:51 INFO    opendrift:2238: 2026-10-27 07:33:30.968029 - step 30 of 48 - 9936 active elements (64 deactivated)
17:04:51 INFO    opendrift:2238: 2026-10-27 08:03:30.968029 - step 31 of 48 - 9908 active elements (92 deactivated)
17:04:56 INFO    opendrift:2238: 2026-10-27 08:33:30.968029 - step 32 of 48 - 9891 active elements (109 deactivated)
17:04:57 INFO    opendrift:2238: 2026-10-27 09:03:30.968029 - step 33 of 48 - 9887 active elements (113 deactivated)
17:05:03 INFO    opendrift:2238: 2026-10-27 09:33:30.968029 - step 34 of 48 - 9870 active elements (130 deactivated)
17:05:03 INFO    opendrift:2238: 2026-10-27 10:03:30.968029 - step 35 of 48 - 9842 active elements (158 deactivated)
17:05:09 INFO    opendrift:2238: 2026-10-27 10:33:30.968029 - step 36 of 48 - 9819 active elements (181 deactivated)
17:05:10 INFO    opendrift:2238: 2026-10-27 11:03:30.968029 - step 37 of 48 - 9802 active elements (198 deactivated)
17:05:13 INFO    opendrift:2238: 2026-10-27 11:33:30.968029 - step 38 of 48 - 9794 active elements (206 deactivated)
17:05:14 INFO    opendrift:2238: 2026-10-27 12:03:30.968029 - step 39 of 48 - 9783 active elements (217 deactivated)
17:05:20 INFO    opendrift:2238: 2026-10-27 12:33:30.968029 - step 40 of 48 - 9774 active elements (226 deactivated)
17:05:20 INFO    opendrift:2238: 2026-10-27 13:03:30.968029 - step 41 of 48 - 9754 active elements (246 deactivated)
17:05:27 INFO    opendrift:2238: 2026-10-27 13:33:30.968029 - step 42 of 48 - 9731 active elements (269 deactivated)
17:05:27 INFO    opendrift:2238: 2026-10-27 14:03:30.968029 - step 43 of 48 - 9707 active elements (293 deactivated)
17:05:34 INFO    opendrift:2238: 2026-10-27 14:33:30.968029 - step 44 of 48 - 9684 active elements (316 deactivated)
17:05:34 INFO    opendrift:2238: 2026-10-27 15:03:30.968029 - step 45 of 48 - 9658 active elements (342 deactivated)
17:05:38 INFO    opendrift:2238: 2026-10-27 15:33:30.968029 - step 46 of 48 - 9636 active elements (364 deactivated)
17:05:38 INFO    opendrift:2238: 2026-10-27 16:03:30.968029 - step 47 of 48 - 9615 active elements (385 deactivated)
17:05:42 INFO    opendrift:2238: 2026-10-27 16:33:30.968029 - step 48 of 48 - 9587 active elements (413 deactivated)

<xarray.Dataset> Size: 44MB
Dimensions:                                                                              (
                                                                                          trajectory: 10000,
                                                                                          time: 25)
Coordinates:
  * trajectory                                                                           (trajectory) int64 80kB ...
  * time                                                                                 (time) datetime64[ns] 200B ...
Data variables: (12/44)
    status                                                                               (trajectory, time) float32 1MB ...
    moving                                                                               (trajectory, time) float32 1MB ...
    age_seconds                                                                          (trajectory, time) float32 1MB ...
    origin_marker                                                                        (trajectory, time) float32 1MB ...
    lon                                                                                  (trajectory, time) float32 1MB ...
    lat                                                                                  (trajectory, time) float32 1MB ...
    ...                                                                                   ...
    sea_water_salinity                                                                   (trajectory, time) float32 1MB ...
    sea_floor_depth_below_sea_level                                                      (trajectory, time) float32 1MB ...
    horizontal_diffusivity                                                               (trajectory, time) float32 1MB ...
    ocean_vertical_diffusivity                                                           (trajectory, time) float32 1MB ...
    land_binary_mask                                                                     (trajectory, time) float32 1MB ...
    ocean_mixed_layer_thickness                                                          (trajectory, time) float32 1MB ...
Attributes: (12/167)
    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: 10000
  • time: 25
• Coordinates: (2)
  • trajectory
    (trajectory)
    int64
    0 1 2 3 4 ... 9996 9997 9998 9999

    cf_role :

    trajectory_id

    dtype :

    <class 'numpy.int32'>

    array([   0,    1,    2, ..., 9997, 9998, 9999], shape=(10000,))

  • time
    (time)
    datetime64[ns]
    2026-10-26T17:03:30.968029 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2026-10-26T17:03:30.968029000', '2026-10-26T18:03:30.968029000',
           '2026-10-26T19:03:30.968029000', '2026-10-26T20:03:30.968029000',
           '2026-10-26T21:03:30.968029000', '2026-10-26T22:03:30.968029000',
           '2026-10-26T23:03:30.968029000', '2026-10-27T00:03:30.968029000',
           '2026-10-27T01:03:30.968029000', '2026-10-27T02:03:30.968029000',
           '2026-10-27T03:03:30.968029000', '2026-10-27T04:03:30.968029000',
           '2026-10-27T05:03:30.968029000', '2026-10-27T06:03:30.968029000',
           '2026-10-27T07:03:30.968029000', '2026-10-27T08:03:30.968029000',
           '2026-10-27T09:03:30.968029000', '2026-10-27T10:03:30.968029000',
           '2026-10-27T11:03:30.968029000', '2026-10-27T12:03:30.968029000',
           '2026-10-27T13:03:30.968029000', '2026-10-27T14:03:30.968029000',
           '2026-10-27T15:03:30.968029000', '2026-10-27T16:03:30.968029000',
           '2026-10-27T17:03:30.968029000'], dtype='datetime64[ns]')

• Data variables: (44)
  • 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.,  1., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.]],
          shape=(10000, 25), 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.,  0., nan],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ..., nan, nan, nan],
           ...,
           [nan, nan, nan, ...,  1.,  1.,  1.],
           [nan, nan, nan, ...,  1.,  1.,  1.],
           [nan, nan, nan, ...,  1.,  1.,  1.]],
          shape=(10000, 25), dtype=float32)

  • age_seconds
    (trajectory, time)
    float32
    0.0 3.6e+03 ... 4.14e+04 4.5e+04

    dtype :

    <class 'numpy.float32'>

    units :

    s

    minval :

    0.0

    maxval :

    86400.0

    array([[    0.,  3600.,  7200., ..., 79200., 81000.,    nan],
           [    0.,  3600.,  7200., ..., 79200., 82800., 86400.],
           [    0.,  3600.,  7200., ...,    nan,    nan,    nan],
           ...,
           [   nan,    nan,    nan, ..., 37800., 41400., 45000.],
           [   nan,    nan,    nan, ..., 37800., 41400., 45000.],
           [   nan,    nan,    nan, ..., 37800., 41400., 45000.]],
          shape=(10000, 25), 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., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.]],
          shape=(10000, 25), dtype=float32)

  • lon
    (trajectory, time)
    float32
    16.05 16.02 16.0 ... 17.98 17.97

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    15.942944

    maxval :

    18.044374

    array([[16.04527 , 16.02111 , 15.99979 , ..., 16.05338 , 16.05071 ,
                  nan],
           [16.04203 , 16.019922, 15.995313, ..., 16.073288, 16.058   ,
            16.036234],
           [16.043642, 16.023743, 16.000269, ...,       nan,       nan,
                  nan],
           ...,
           [      nan,       nan,       nan, ..., 17.96119 , 17.94581 ,
            17.934608],
           [      nan,       nan,       nan, ..., 17.948034, 17.934435,
            17.9189  ],
           [      nan,       nan,       nan, ..., 18.00124 , 17.983902,
            17.972673]], shape=(10000, 25), dtype=float32)

  • lat
    (trajectory, time)
    float32
    68.99 68.99 69.0 ... 69.99 69.99

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    68.988365

    maxval :

    70.07837

    array([[68.98883 , 68.9934  , 68.99922 , ..., 69.13511 , 69.13511 ,
                  nan],
           [68.988365, 68.99357 , 68.99816 , ..., 69.12524 , 69.12412 ,
            69.12298 ],
           [68.99077 , 68.99597 , 69.00223 , ...,       nan,       nan,
                  nan],
           ...,
           [      nan,       nan,       nan, ..., 69.99613 , 69.99244 ,
            69.99167 ],
           [      nan,       nan,       nan, ..., 69.994545, 69.98577 ,
            69.98145 ],
           [      nan,       nan,       nan, ..., 69.99228 , 69.988174,
            69.98594 ]], shape=(10000, 25), dtype=float32)

  • z
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... -0.7774 0.0 0.0

    dtype :

    <class 'numpy.float32'>

    units :

    m

    standard_name :

    z

    long_name :

    vertical position

    axis :

    Z

    positive :

    up

    minval :

    -65.100105

    maxval :

    0.0

    array([[  0.        ,   0.        ,   0.        , ...,   0.        ,
              0.        ,          nan],
           [  0.        ,   0.        ,   0.        , ...,   0.        ,
              0.        ,   0.        ],
           [  0.        ,   0.        ,   0.        , ...,          nan,
                     nan,          nan],
           ...,
           [         nan,          nan,          nan, ...,   0.        ,
             -0.41772893,  -0.2996274 ],
           [         nan,          nan,          nan, ...,  -4.3652415 ,
             -7.4503593 , -10.972629  ],
           [         nan,          nan,          nan, ...,  -0.7773683 ,
              0.        ,   0.        ]], shape=(10000, 25), dtype=float32)

  • wind_drift_factor
    (trajectory, time)
    float32
    0.03 0.03 0.03 ... 0.03 0.03 0.03

    dtype :

    <class 'numpy.float32'>

    units :

    1

    description :

    Elements at the ocean surface are moved by this fraction of the wind vector, in addition to currents and Stokes drift

    minval :

    0.03

    maxval :

    0.03

    array([[0.03, 0.03, 0.03, ..., 0.03, 0.03,  nan],
           [0.03, 0.03, 0.03, ..., 0.03, 0.03, 0.03],
           [0.03, 0.03, 0.03, ...,  nan,  nan,  nan],
           ...,
           [ nan,  nan,  nan, ..., 0.03, 0.03, 0.03],
           [ nan,  nan,  nan, ..., 0.03, 0.03, 0.03],
           [ nan,  nan,  nan, ..., 0.03, 0.03, 0.03]],
          shape=(10000, 25), 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., nan],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ..., nan, nan, nan],
           ...,
           [nan, nan, nan, ...,  1.,  1.,  1.],
           [nan, nan, nan, ...,  1.,  1.,  1.],
           [nan, nan, nan, ...,  1.,  1.,  1.]],
          shape=(10000, 25), dtype=float32)

  • terminal_velocity
    (trajectory, time)
    float32
    0.0 0.107 ... 0.09278 0.001621

    dtype :

    <class 'numpy.float32'>

    units :

    m/s

    description :

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

    minval :

    0.0

    maxval :

    0.12888937

    array([[0.        , 0.10703737, 0.05890786, ..., 0.0920267 , 0.09202711,
                   nan],
           [0.        , 0.        , 0.        , ..., 0.00851217, 0.00851414,
            0.00851659],
           [0.        , 0.        , 0.        , ...,        nan,        nan,
                   nan],
           ...,
           [       nan,        nan,        nan, ..., 0.06784963, 0.07886768,
            0.12812512],
           [       nan,        nan,        nan, ..., 0.0008989 , 0.00089879,
            0.00089876],
           [       nan,        nan,        nan, ..., 0.00355444, 0.09277536,
            0.00162119]], shape=(10000, 25), dtype=float32)

  • mass_oil
    (trajectory, time)
    float32
    0.9708 0.9659 ... 0.4028 0.4014

    dtype :

    <class 'numpy.float32'>

    units :

    kg

    minval :

    0.1633083

    maxval :

    0.9708034

    array([[0.9708034 , 0.9658833 , 0.95601654, ..., 0.5927138 , 0.5927138 ,
                   nan],
           [0.9708034 , 0.9708034 , 0.9684939 , ..., 0.56351113, 0.56351113,
            0.56351113],
           [0.9708034 , 0.9708034 , 0.9708034 , ...,        nan,        nan,
                   nan],
           ...,
           [       nan,        nan,        nan, ..., 0.45989546, 0.44900945,
            0.4345983 ],
           [       nan,        nan,        nan, ..., 0.43868336, 0.4187593 ,
            0.41379428],
           [       nan,        nan,        nan, ..., 0.42172676, 0.402761  ,
            0.4014383 ]], shape=(10000, 25), dtype=float32)

  • viscosity
    (trajectory, time)
    float32
    3.35e-06 3.474e-06 ... 3.47e-06

    dtype :

    <class 'numpy.float32'>

    units :

    m2/s

    description :

    Kinematic viscosity of oil (emulsion)

    minval :

    3.349855e-06

    maxval :

    3.4818308e-06

    array([[3.3498550e-06, 3.4738903e-06, 3.4776810e-06, ..., 3.4681616e-06,
            3.4683235e-06,           nan],
           [3.3498550e-06, 3.4745876e-06, 3.4786069e-06, ..., 3.4696914e-06,
            3.4693298e-06, 3.4688530e-06],
           [3.3498550e-06, 3.4736993e-06, 3.4777277e-06, ...,           nan,
                      nan,           nan],
           ...,
           [          nan,           nan,           nan, ..., 3.4680222e-06,
            3.4684419e-06, 3.4687869e-06],
           [          nan,           nan,           nan, ..., 3.4675320e-06,
            3.4677419e-06, 3.4678153e-06],
           [          nan,           nan,           nan, ..., 3.4693135e-06,
            3.4697184e-06, 3.4695759e-06]], shape=(10000, 25), dtype=float32)

  • density
    (trajectory, time)
    float32
    809.0 809.0 809.0 ... 809.0 809.0

    dtype :

    <class 'numpy.float32'>

    units :

    kg/m^3

    minval :

    809.0028

    maxval :

    809.0053

    array([[809.0028 , 809.0052 , 809.00525, ..., 809.00507, 809.00507,
                  nan],
           [809.0028 , 809.0052 , 809.00525, ..., 809.00507, 809.00507,
            809.00507],
           [809.0028 , 809.0052 , 809.00525, ...,       nan,       nan,
                  nan],
           ...,
           [      nan,       nan,       nan, ..., 809.00507, 809.00507,
            809.00507],
           [      nan,       nan,       nan, ..., 809.00507, 809.00507,
            809.00507],
           [      nan,       nan,       nan, ..., 809.00507, 809.00507,
            809.00507]], shape=(10000, 25), dtype=float32)

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

    dtype :

    <class 'numpy.float32'>

    units :

    s

    minval :

    0.0

    maxval :

    0.0

    array([[ 0.,  0.,  0., ...,  0.,  0., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.]],
          shape=(10000, 25), dtype=float32)

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

    dtype :

    <class 'numpy.float32'>

    units :

    m2

    minval :

    0.0

    maxval :

    0.0

    array([[ 0.,  0.,  0., ...,  0.,  0., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.]],
          shape=(10000, 25), dtype=float32)

  • mass_dispersed
    (trajectory, time)
    float32
    0.0 0.00492 ... 0.568 0.5694

    dtype :

    <class 'numpy.float32'>

    units :

    kg

    minval :

    0.0

    maxval :

    0.80749506

    array([[0.        , 0.00492004, 0.01478683, ..., 0.37808958, 0.37808958,
                   nan],
           [0.        , 0.        , 0.00230948, ..., 0.40729222, 0.40729222,
            0.40729222],
           [0.        , 0.        , 0.        , ...,        nan,        nan,
                   nan],
           ...,
           [       nan,        nan,        nan, ..., 0.51090795, 0.52179396,
            0.5362051 ],
           [       nan,        nan,        nan, ..., 0.53212005, 0.5520441 ,
            0.5570091 ],
           [       nan,        nan,        nan, ..., 0.5490766 , 0.5680424 ,
            0.5693651 ]], shape=(10000, 25), dtype=float32)

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

    dtype :

    <class 'numpy.float32'>

    units :

    kg

    minval :

    0.0

    maxval :

    0.0

    array([[ 0.,  0.,  0., ...,  0.,  0., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.]],
          shape=(10000, 25), dtype=float32)

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

    dtype :

    <class 'numpy.float32'>

    units :

    kg

    minval :

    0.0

    maxval :

    0.0

    array([[ 0.,  0.,  0., ...,  0.,  0., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.]],
          shape=(10000, 25), dtype=float32)

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

    dtype :

    <class 'numpy.float32'>

    units :

    Days

    description :

    Biodegradation half time in days for submerged oil droplets

    minval :

    1.0

    maxval :

    1.0

    array([[ 1.,  1.,  1., ...,  1.,  1., nan],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ..., nan, nan, nan],
           ...,
           [nan, nan, nan, ...,  1.,  1.,  1.],
           [nan, nan, nan, ...,  1.,  1.,  1.],
           [nan, nan, nan, ...,  1.,  1.,  1.]],
          shape=(10000, 25), dtype=float32)

  • biodegradation_half_time_slick
    (trajectory, time)
    float32
    3.0 3.0 3.0 3.0 ... 3.0 3.0 3.0 3.0

    dtype :

    <class 'numpy.float32'>

    units :

    Days

    description :

    Biodegradation half time in days for surface oil slick

    minval :

    3.0

    maxval :

    3.0

    array([[ 3.,  3.,  3., ...,  3.,  3., nan],
           [ 3.,  3.,  3., ...,  3.,  3.,  3.],
           [ 3.,  3.,  3., ..., nan, nan, nan],
           ...,
           [nan, nan, nan, ...,  3.,  3.,  3.],
           [nan, nan, nan, ...,  3.,  3.,  3.],
           [nan, nan, nan, ...,  3.,  3.,  3.]],
          shape=(10000, 25), dtype=float32)

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

    dtype :

    <class 'numpy.float32'>

    units :

    1

    minval :

    0.0

    maxval :

    0.0

    array([[ 0.,  0.,  0., ...,  0.,  0., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.]],
          shape=(10000, 25), dtype=float32)

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

    dtype :

    <class 'numpy.float32'>

    units :

    1

    minval :

    0.0

    maxval :

    0.0

    array([[ 0.,  0.,  0., ...,  0.,  0., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.]],
          shape=(10000, 25), dtype=float32)

  • oil_film_thickness
    (trajectory, time)
    float32
    0.001 0.001 0.001 ... 0.001 0.001

    dtype :

    <class 'numpy.float32'>

    units :

    m

    minval :

    0.001

    maxval :

    0.001

    array([[0.001, 0.001, 0.001, ..., 0.001, 0.001,   nan],
           [0.001, 0.001, 0.001, ..., 0.001, 0.001, 0.001],
           [0.001, 0.001, 0.001, ...,   nan,   nan,   nan],
           ...,
           [  nan,   nan,   nan, ..., 0.001, 0.001, 0.001],
           [  nan,   nan,   nan, ..., 0.001, 0.001, 0.001],
           [  nan,   nan,   nan, ..., 0.001, 0.001, 0.001]],
          shape=(10000, 25), dtype=float32)

  • diameter
    (trajectory, time)
    float32
    0.0 0.002072 ... 0.001555 0.0001394

    dtype :

    <class 'numpy.float32'>

    units :

    m

    minval :

    0.0

    maxval :

    0.002999919

    array([[0.        , 0.00207157, 0.00084275, ..., 0.00153069, 0.00153069,
                   nan],
           [0.        , 0.        , 0.        , ..., 0.00031958, 0.00031958,
            0.00031958],
           [0.        , 0.        , 0.        , ...,        nan,        nan,
                   nan],
           ...,
           [       nan,        nan,        nan, ..., 0.00090175, 0.00112391,
            0.00296619],
           [       nan,        nan,        nan, ..., 0.00010378, 0.00010378,
            0.00010378],
           [       nan,        nan,        nan, ..., 0.00020647, 0.00155517,
            0.00013945]], shape=(10000, 25), dtype=float32)

  • x_sea_water_velocity
    (trajectory, time)
    float32
    -0.1469 -0.17 ... -0.1079 -0.1128

    minval :

    -0.57251483

    maxval :

    0.90190667

    array([[-0.14694703, -0.1700211 , -0.13364369, ..., -0.02125186,
            -0.07745286,         nan],
           [-0.15868883, -0.24077863, -0.08786434, ..., -0.03183578,
            -0.06847274, -0.14736181],
           [-0.12334425, -0.20846622, -0.11660993, ...,         nan,
                    nan,         nan],
           ...,
           [        nan,         nan,         nan, ..., -0.16473843,
            -0.11429848, -0.11823048],
           [        nan,         nan,         nan, ..., -0.1793906 ,
            -0.19753972, -0.13232672],
           [        nan,         nan,         nan, ..., -0.19816521,
            -0.10785507, -0.11276935]], shape=(10000, 25), dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    0.01571 0.06785 ... -0.09153

    minval :

    -0.69856876

    maxval :

    0.8296841

    array([[ 1.57142207e-02,  6.78452775e-02,  2.10865848e-02, ...,
            -4.44880128e-02, -6.29735515e-02,             nan],
           [ 6.40690103e-02, -1.07517975e-04, -3.26693174e-03, ...,
            -6.09829687e-02, -9.35100242e-02, -9.49619785e-02],
           [ 8.80823061e-02,  1.48606345e-01,  1.14516415e-01, ...,
                        nan,             nan,             nan],
           ...,
           [            nan,             nan,             nan, ...,
            -2.66639501e-01, -1.02410868e-01, -1.50189549e-01],
           [            nan,             nan,             nan, ...,
            -3.06303322e-01, -2.19411358e-01, -4.81116027e-02],
           [            nan,             nan,             nan, ...,
            -2.49440417e-01, -1.87934056e-01, -9.15335342e-02]],
          shape=(10000, 25), dtype=float32)

  • x_wind
    (trajectory, time)
    float32
    -2.89 -2.746 ... 0.2972 -0.5913

    minval :

    -6.6711335

    maxval :

    6.3900266

    array([[-2.8899739 , -2.7464213 , -2.260924  , ..., -3.2198262 ,
            -2.7235708 ,         nan],
           [-2.1913702 , -2.3855746 , -2.298642  , ..., -2.773623  ,
            -4.432212  , -4.411242  ],
           [-1.856395  , -2.9603627 , -2.8231711 , ...,         nan,
                    nan,         nan],
           ...,
           [        nan,         nan,         nan, ...,  0.89102995,
            -0.17370059, -0.67315215],
           [        nan,         nan,         nan, ..., -0.12903349,
             0.45214793, -0.39181256],
           [        nan,         nan,         nan, ...,  0.8729585 ,
             0.2971865 , -0.59129447]], shape=(10000, 25), dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    4.294 5.432 4.174 ... 5.525 4.706

    minval :

    -0.82872397

    maxval :

    13.503344

    array([[4.2944865, 5.4323163, 4.1736584, ..., 2.0810578, 2.4377525,
                  nan],
           [3.6572256, 4.163091 , 4.906234 , ..., 2.457906 , 2.2942042,
            1.6225002],
           [3.26173  , 3.3215964, 4.213401 , ...,       nan,       nan,
                  nan],
           ...,
           [      nan,       nan,       nan, ..., 6.550959 , 6.836259 ,
            7.043956 ],
           [      nan,       nan,       nan, ..., 7.792023 , 5.8271055,
            5.924137 ],
           [      nan,       nan,       nan, ..., 7.433113 , 5.525392 ,
            4.705837 ]], shape=(10000, 25), dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    -1.059 -1.135 ... -0.592 -0.8092

    minval :

    -1.4081446

    maxval :

    0.7600814

    array([[-1.0594016 , -1.1348115 , -0.9583656 , ..., -0.05510196,
            -0.30224606,         nan],
           [-1.0594993 , -1.1347387 , -0.9584261 , ..., -0.05714869,
            -0.54651964, -0.74724436],
           [-1.0586693 , -1.1342306 , -0.95758706, ...,         nan,
                    nan,         nan],
           ...,
           [        nan,         nan,         nan, ..., -0.08482198,
            -0.5886986 , -0.8065397 ],
           [        nan,         nan,         nan, ..., -0.08349693,
            -0.5867657 , -0.80323076],
           [        nan,         nan,         nan, ..., -0.08796848,
            -0.5920026 , -0.80921155]], shape=(10000, 25), dtype=float32)

  • sea_surface_wave_significant_height
    (trajectory, time)
    float32
    0.6591 0.9115 ... 0.7532 0.5534

    minval :

    0.04772863

    maxval :

    4.560207

    array([[0.6591462 , 0.9115011 , 0.5542676 , ..., 0.3615728 , 0.32866767,
                   nan],
           [0.4471641 , 0.56634843, 0.7221302 , ..., 0.33786345, 0.6127337 ,
            0.54345244],
           [0.34649307, 0.48700002, 0.6327868 , ...,        nan,        nan,
                   nan],
           ...,
           [       nan,        nan,        nan, ..., 1.0752412 , 1.1504093 ,
            1.231733  ],
           [       nan,        nan,        nan, ..., 1.494014  , 0.840326  ,
            0.8671233 ],
           [       nan,        nan,        nan, ..., 1.3779254 , 0.75320965,
            0.5533654 ]], shape=(10000, 25), 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., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.]],
          shape=(10000, 25), 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., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.]],
          shape=(10000, 25), 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., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.]],
          shape=(10000, 25), dtype=float32)

  • sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment
    (trajectory, time)
    float32
    4.423 5.201 4.056 ... 4.728 4.053

    minval :

    1.1901975

    maxval :

    11.633807

    array([[4.423036 , 5.201256 , 4.0559196, ..., 3.2758758, 3.1232595,
                  nan],
           [3.6430326, 4.0998826, 4.6295347, ..., 3.1666508, 4.264474 ,
            4.016154 ],
           [3.2068367, 3.801842 , 4.3336945, ...,       nan,       nan,
                  nan],
           ...,
           [      nan,       nan,       nan, ..., 5.6491427, 5.8432674,
            6.0462747],
           [      nan,       nan,       nan, ..., 6.658968 , 4.994057 ,
            5.07306  ],
           [      nan,       nan,       nan, ..., 6.395027 , 4.7281094,
            4.052617 ]], shape=(10000, 25), dtype=float32)

  • sea_ice_area_fraction
    (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., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.]],
          shape=(10000, 25), dtype=float32)

  • sea_ice_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., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.]],
          shape=(10000, 25), dtype=float32)

  • sea_ice_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., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.]],
          shape=(10000, 25), dtype=float32)

  • sea_water_temperature
    (trajectory, time)
    float32
    9.285 9.223 9.162 ... 9.345 282.5

    minval :

    9.102205

    maxval :

    282.71054

    array([[  9.285497 ,   9.222975 ,   9.16223  , ...,   9.375225 ,
              9.37997  ,         nan],
           [  9.272257 ,   9.216221 ,   9.142697 , ...,   9.348147 ,
              9.356239 , 282.51443  ],
           [  9.283392 ,   9.235204 ,   9.15816  , ...,         nan,
                    nan,         nan],
           ...,
           [        nan,         nan,         nan, ...,   9.376961 ,
              9.370413 , 282.51578  ],
           [        nan,         nan,         nan, ...,   9.3879385,
              9.384335 , 282.53555  ],
           [        nan,         nan,         nan, ...,   9.35017  ,
              9.345021 , 282.49973  ]], shape=(10000, 25), dtype=float32)

  • sea_water_salinity
    (trajectory, time)
    float32
    33.51 33.45 33.38 ... 33.76 33.76

    minval :

    33.31838

    maxval :

    34.1616

    array([[33.512733, 33.453503, 33.38493 , ..., 33.651756, 33.657516,
                  nan],
           [33.499928, 33.44536 , 33.359676, ..., 33.623444, 33.640663,
            33.645905],
           [33.513783, 33.46781 , 33.38063 , ...,       nan,       nan,
                  nan],
           ...,
           [      nan,       nan,       nan, ..., 33.748676, 33.750023,
            33.75176 ],
           [      nan,       nan,       nan, ..., 33.74529 , 33.74556 ,
            33.745686],
           [      nan,       nan,       nan, ..., 33.762222, 33.76204 ,
            33.7636  ]], shape=(10000, 25), dtype=float32)

  • sea_floor_depth_below_sea_level
    (trajectory, time)
    float32
    151.1 136.2 116.5 ... 60.2 60.22

    minval :

    10.0

    maxval :

    465.08942

    array([[151.06253 , 136.16393 , 116.46247 , ...,  93.29626 ,  71.26338 ,
                   nan],
           [149.37003 , 135.19133 , 113.37128 , ..., 111.45264 ,  93.139114,
             85.64963 ],
           [150.86795 , 137.22781 , 114.76969 , ...,        nan,        nan,
                   nan],
           ...,
           [       nan,        nan,        nan, ...,  60.011215,  59.94737 ,
             60.1577  ],
           [       nan,        nan,        nan, ...,  60.080563,  59.778564,
             59.84513 ],
           [       nan,        nan,        nan, ...,  61.066685,  60.201466,
             60.22004 ]], shape=(10000, 25), dtype=float32)

  • horizontal_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., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.]],
          shape=(10000, 25), dtype=float32)

  • ocean_vertical_diffusivity
    (trajectory, time)
    float32
    1e-06 1e-06 1e-06 ... 1e-06 0.01381

    minval :

    1e-06

    maxval :

    0.13829479

    array([[1.0000000e-06, 1.0000000e-06, 1.0000000e-06, ..., 1.0000000e-06,
            1.0000000e-06,           nan],
           [1.0000000e-06, 1.0000000e-06, 1.0000000e-06, ..., 1.0000000e-06,
            1.0000000e-06, 1.0000000e-06],
           [1.0000000e-06, 1.0000000e-06, 1.0000000e-06, ...,           nan,
                      nan,           nan],
           ...,
           [          nan,           nan,           nan, ..., 1.0000000e-06,
            1.9653623e-03, 1.0000000e-06],
           [          nan,           nan,           nan, ..., 1.9264888e-02,
            2.1831105e-02, 1.5159730e-02],
           [          nan,           nan,           nan, ..., 6.5054190e-03,
            1.0000000e-06, 1.3814893e-02]], shape=(10000, 25), 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., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.]],
          shape=(10000, 25), 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., nan],
           [50., 50., 50., ..., 50., 50., 50.],
           [50., 50., 50., ..., nan, nan, nan],
           ...,
           [nan, nan, nan, ..., 50., 50., 50.],
           [nan, nan, nan, ..., 50., 50., 50.],
           [nan, nan, nan, ..., 50., 50., 50.]],
          shape=(10000, 25), dtype=float32)

• Attributes: (167)

  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 2026-10-26 17:03:36.923611

  date_created :

  2026-10-26T17:03:36.923626

  source :

  Output from simulation with OpenDrift

  model_url :

  https://github.com/OpenDrift/opendrift

  opendrift_class :

  OpenOil

  opendrift_module :

  opendrift.models.openoil.openoil

  readers :

  odict_keys(['LazyReader: https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be', 'global_landmask'])

  time_coverage_start :

  2026-10-26 17:03:30.968029

  time_step_calculation :

  0:30:00

  time_step_output :

  1:00:00

  config_environment:constant:x_sea_water_velocity :

  None

  config_environment:fallback:x_sea_water_velocity :

  None

  config_environment:constant:y_sea_water_velocity :

  None

  config_environment:fallback:y_sea_water_velocity :

  None

  config_environment:constant:x_wind :

  None

  config_environment:fallback:x_wind :

  None

  config_environment:constant:y_wind :

  None

  config_environment:fallback:y_wind :

  None

  config_environment:constant:sea_surface_height :

  None

  config_environment:fallback:sea_surface_height :

  0

  config_environment:constant:upward_sea_water_velocity :

  None

  config_environment:fallback:upward_sea_water_velocity :

  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_ice_area_fraction :

  None

  config_environment:fallback:sea_ice_area_fraction :

  0

  config_environment:constant:sea_ice_x_velocity :

  None

  config_environment:fallback:sea_ice_x_velocity :

  0

  config_environment:constant:sea_ice_y_velocity :

  None

  config_environment:fallback:sea_ice_y_velocity :

  0

  config_environment:constant:sea_water_temperature :

  None

  config_environment:fallback:sea_water_temperature :

  10

  config_environment:constant:sea_water_salinity :

  None

  config_environment:fallback:sea_water_salinity :

  34

  config_environment:constant:sea_floor_depth_below_sea_level :

  None

  config_environment:fallback:sea_floor_depth_below_sea_level :

  10000

  config_environment:constant:horizontal_diffusivity :

  None

  config_environment:fallback:horizontal_diffusivity :

  0

  config_environment:constant:ocean_vertical_diffusivity :

  None

  config_environment:fallback:ocean_vertical_diffusivity :

  0.02

  config_environment:constant:land_binary_mask :

  None

  config_environment:fallback:land_binary_mask :

  None

  config_environment:constant:ocean_mixed_layer_thickness :

  None

  config_environment:fallback:ocean_mixed_layer_thickness :

  50

  config_general:use_auto_landmask :

  True

  config_drift:current_uncertainty :

  0.05

  config_drift:current_uncertainty_uniform :

  0

  config_drift:max_speed :

  1.3

  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:profiles_depth :

  50

  config_drift:wind_uncertainty :

  0.5

  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 :

  0.03

  config_seed:current_drift_factor :

  1

  config_seed:terminal_velocity :

  0.0

  config_seed:oil_film_thickness :

  0.001

  config_drift:vertical_advection :

  False

  config_drift:vertical_advection_at_surface :

  False

  config_drift:water_column_stretching :

  False

  config_drift:vertical_advection_correction :

  False

  config_drift:vertical_mixing :

  True

  config_drift:vertical_mixing_at_surface :

  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

  config_seed:m3_per_hour :

  1

  config_seed:droplet_size_distribution :

  uniform

  config_seed:droplet_diameter_mu :

  0.001

  config_seed:droplet_diameter_sigma :

  0.0005

  config_seed:droplet_diameter_min_subsea :

  0.0005

  config_seed:droplet_diameter_max_subsea :

  0.005

  config_processes:dispersion :

  True

  config_processes:evaporation :

  False

  config_processes:emulsification :

  True

  config_processes:biodegradation :

  False

  config_biodegradation:method :

  Adcroft

  config_processes:update_oilfilm_thickness :

  False

  config_wave_entrainment:droplet_size_distribution :

  Johansen et al. (2015)

  config_wave_entrainment:entrainment_rate :

  Li et al. (2017)

  config_seed:oil_type :

  EKOFISK

  opendrift_version :

  1.14.11

  seed_lon :

  16.900381

  seed_lat :

  69.4901785

  seed_radius :

  450.0

  seed_time :

  [datetime.datetime(2026, 10, 26, 17, 3, 30, 968029), datetime.datetime(2026, 10, 27, 5, 3, 30, 968034)]

  seed_number :

  10000.0

  seed_z :

  0.0

  seed_m3_per_hour :

  1.0

  seed_oiltype :

  EKOFISK

  seed_geojson :

  {"features": [{"geometry": {"coordinates": [[16.040701, 68.988911], [17.760061, 69.991446]], "type": "LineString"}, "properties": {"current_drift_factor": 1, "droplet_diameter_max_subsea": 0.005, "droplet_diameter_min_subsea": 0.0005, "droplet_diameter_mu": 0.001, "droplet_diameter_sigma": 0.0005, "droplet_size_distribution": "uniform", "m3_per_hour": 1, "number": 10000, "ocean_only": true, "oil_film_thickness": 0.001, "oil_type": "EKOFISK", "origin_marker": 0, "radius": [100.0, 800.0], "seafloor": false, "terminal_velocity": 0.0, "time": ["2026-10-26 17:03:30.968029", "2026-10-27 05:03:30.968034"], "wind_drift_factor": 0.03, "z": 0}, "type": "Feature"}], "type": "FeatureCollection"}

  simulation_time :

  2026-10-26 17:03:37.053898

  reader_x_sea_water_velocity :

  ['https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be']

  reader_y_sea_water_velocity :

  ['https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be']

  reader_x_wind :

  ['https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be']

  reader_y_wind :

  ['https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be']

  reader_sea_surface_height :

  ['https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be']

  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_ice_area_fraction :

  0

  reader_sea_ice_x_velocity :

  0

  reader_sea_ice_y_velocity :

  0

  reader_sea_water_temperature :

  ['https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be']

  reader_sea_water_salinity :

  ['https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be']

  reader_sea_floor_depth_below_sea_level :

  ['https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be']

  reader_horizontal_diffusivity :

  0

  reader_ocean_vertical_diffusivity :

  ['https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be']

  reader_land_binary_mask :

  ['global_landmask']

  reader_ocean_mixed_layer_thickness :

  50

  time_coverage_end :

  2026-10-27 17:03:30.968029

  time_coverage_duration :

  P1DT0H0M0S

  time_coverage_resolution :

  P0DT0H30M0S

  performance :

  -------------------- Reader performance: -------------------- global_landmask 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/fou-hi/norkystv3_800m_m00_be 0:01:51.2 total 0:00:00.0 preparing 0:01:49.8 reading 0:00:05.9 interpolation 0:00:00.1 interpolation_time 0:00:01.3 rotating vectors 0:00:00.0 masking -------------------- Performance: 2:12.2 total time 5.9 configuration 0.1 preparing main loop 0.0 moving elements to ocean 2:06.1 main loop 7.3 updating elements 0.1 oil weathering 0.0 updating viscosities 0.0 updating densities 0.0 emulsification 0.0 dispersion 6.5 vertical mixing 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  68.988365

  geospatial_lat_max :

  70.07837

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  15.942944

  geospatial_lon_max :

  18.044374

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:02:12.287480

  geospatial_vertical_min :

  -65.100105

  geospatial_vertical_max :

  0.0

  geospatial_vertical_positive :

  up

Print and plot results

print(o)

===========================
--------------------
Reader performance:
--------------------
global_landmask
 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/fou-hi/norkystv3_800m_m00_be
 0:01:51.2  total
 0:00:00.0  preparing
 0:01:49.8  reading
 0:00:05.9  interpolation
 0:00:00.1  interpolation_time
 0:00:01.3  rotating vectors
 0:00:00.0  masking
--------------------
Performance:
 2:12.2 total time
    5.9 configuration
    0.1 preparing main loop
      0.0 moving elements to ocean
 2:06.1 main loop
      7.3 updating elements
        0.1 oil weathering
          0.0 updating viscosities
          0.0 updating densities
          0.0 emulsification
          0.0 dispersion
        6.5 vertical mixing
    0.0 cleaning up
--------------------
===========================
Model:  OpenOil     (OpenDrift version 1.14.11)
        9538 active Oil particles  (462 deactivated, 0 scheduled)
-------------------
Environment variables:
  -----
  land_binary_mask
     1) global_landmask
  -----
  ocean_vertical_diffusivity
  sea_floor_depth_below_sea_level
  sea_surface_height
  sea_water_salinity
  sea_water_temperature
  x_sea_water_velocity
  x_wind
  y_sea_water_velocity
  y_wind
     1) https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be
  -----
Readers not added for the following variables:
  horizontal_diffusivity
  ocean_mixed_layer_thickness
  sea_ice_area_fraction
  sea_ice_x_velocity
  sea_ice_y_velocity
  sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment
  sea_surface_wave_period_at_variance_spectral_density_maximum
  sea_surface_wave_significant_height
  sea_surface_wave_stokes_drift_x_velocity
  sea_surface_wave_stokes_drift_y_velocity

Discarded readers:

Time:
        Start: 2026-10-26 17:03:30.968029 UTC
        Present: 2026-10-27 17:03:30.968029 UTC
        Calculation steps: 48 * 0:30:00 - total time: 1 day, 0:00:00
        Output steps: 25 * 1:00:00
===========================

Add text label on the map

text = [{'s': 'Senja', 'x': 17.3, 'y': 69.3, 'fontsize': 20, 'color': 'g',
         'backgroundcolor': 'white', 'bbox': dict(facecolor='white', alpha=0.8), 'zorder': 1000}]

o.animation(fast=False, ocean_color='skyblue', land_color='burlywood', text=text)

17:05:54 INFO    opendrift:4889: Saving animation to /root/project/docs/source/gallery/animations/example_cone_0.gif...
17:06:02 INFO    opendrift:3297: Time to make animation: 0:00:19.227729

o.plot(fast=True, ocean_color='skyblue', land_color='dimgray', text=text)

17:06:02 WARNING opendrift:2614: Plotting fast. This will make your plots less accurate.

(<GeoAxes: title={'center': 'OpenDrift - OpenOil (EKOFISK)\n2026-10-26 17:03 to 2026-10-27 17:03 UTC (25 steps)'}>, <Figure size 751.925x1100 with 1 Axes>)