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

22:00:35 INFO    opendrift:509: OpenDriftSimulation initialised (version 1.13.0 / v1.13.0-61-gf300067)

Using live data from Thredds

o.add_readers_from_list([
    'https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_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)

22:00:35 INFO    opendrift.models.basemodel.environment:206: Adding a dynamical landmask with max. priority based on assumed maximum speed of 1.3 m/s. Adding a customised landmask may be faster...
22:00:39 INFO    opendrift.models.basemodel.environment:233: Fallback values will be used for the following variables which have no readers:
22:00:39 INFO    opendrift.models.basemodel.environment:236:    sea_surface_height: 0.000000
22:00:39 INFO    opendrift.models.basemodel.environment:236:    upward_sea_water_velocity: 0.000000
22:00:39 INFO    opendrift.models.basemodel.environment:236:    sea_surface_wave_significant_height: 0.000000
22:00:39 INFO    opendrift.models.basemodel.environment:236:    sea_surface_wave_stokes_drift_x_velocity: 0.000000
22:00:39 INFO    opendrift.models.basemodel.environment:236:    sea_surface_wave_stokes_drift_y_velocity: 0.000000
22:00:39 INFO    opendrift.models.basemodel.environment:236:    sea_surface_wave_period_at_variance_spectral_density_maximum: 0.000000
22:00:39 INFO    opendrift.models.basemodel.environment:236:    sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment: 0.000000
22:00:39 INFO    opendrift.models.basemodel.environment:236:    sea_ice_area_fraction: 0.000000
22:00:39 INFO    opendrift.models.basemodel.environment:236:    sea_ice_x_velocity: 0.000000
22:00:39 INFO    opendrift.models.basemodel.environment:236:    sea_ice_y_velocity: 0.000000
22:00:39 INFO    opendrift.models.basemodel.environment:236:    sea_water_temperature: 10.000000
22:00:39 INFO    opendrift.models.basemodel.environment:236:    sea_water_salinity: 34.000000
22:00:39 INFO    opendrift.models.basemodel.environment:236:    sea_floor_depth_below_sea_level: 10000.000000
22:00:39 INFO    opendrift.models.basemodel.environment:236:    ocean_vertical_diffusivity: 0.020000
22:00:39 INFO    opendrift.models.basemodel.environment:236:    ocean_mixed_layer_thickness: 50.000000
22:00:39 INFO    opendrift.models.openoil.adios.dirjs:86: Querying ADIOS database for oil: EKOFISK
22:00:40 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.
22:00:40 INFO    opendrift.models.openoil.openoil:1701: Using density 809.002835 and viscosity 3.3498550728972226e-06 of oiltype EKOFISK
===========================
Model:  OpenOil     (OpenDrift version 1.13.0)
        0 active Oil particles  (0 deactivated, 10000 scheduled)
-------------------
Environment variables:
  -----
  land_binary_mask
     1) global_landmask
  -----
Readers not added for the following variables:
  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/sea/norkyst800m/1h/aggregate_be

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

Running model for 24 hours

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

22:00:40 INFO    opendrift:919: Using existing reader for land_binary_mask
22:00:40 INFO    opendrift:930: All points are in ocean
22:00:40 INFO    opendrift.models.openoil.openoil:684: Oil-water surface tension is 0.027884 Nm
22:00:40 INFO    opendrift.models.openoil.openoil:697: Max water fraction not available for EKOFISK, using default
22:00:40 INFO    opendrift:2056: 2025-03-05 22:00:35.654869 - step 1 of 48 - 417 active elements (0 deactivated)
22:00:40 INFO    opendrift.readers:58: Opening file with xr.open_dataset
22:00:41 INFO    opendrift.readers.reader_netCDF_CF_generic:338: Detected dimensions: {'x': 'X', 'y': 'Y', 'z': 'depth', 'time': 'time'}
22:00:45 INFO    opendrift:2056: 2025-03-05 22:30:35.654869 - step 2 of 48 - 834 active elements (0 deactivated)
22:00:47 INFO    opendrift:2056: 2025-03-05 23:00:35.654869 - step 3 of 48 - 1250 active elements (0 deactivated)
22:00:47 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:00:48 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:00:48 INFO    opendrift:2056: 2025-03-05 23:30:35.654869 - step 4 of 48 - 1667 active elements (0 deactivated)
22:00:48 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:00:49 INFO    opendrift:2056: 2025-03-06 00:00:35.654869 - step 5 of 48 - 2084 active elements (0 deactivated)
22:00:50 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:00:51 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:00:51 INFO    opendrift:2056: 2025-03-06 00:30:35.654869 - step 6 of 48 - 2500 active elements (0 deactivated)
22:00:51 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:00:52 INFO    opendrift:2056: 2025-03-06 01:00:35.654869 - step 7 of 48 - 2917 active elements (0 deactivated)
22:00:52 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:00:54 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:00:54 INFO    opendrift:2056: 2025-03-06 01:30:35.654869 - step 8 of 48 - 3334 active elements (0 deactivated)
22:00:54 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:00:55 INFO    opendrift:2056: 2025-03-06 02:00:35.654869 - step 9 of 48 - 3750 active elements (0 deactivated)
22:00:55 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:00:57 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:00:57 INFO    opendrift:2056: 2025-03-06 02:30:35.654869 - step 10 of 48 - 4167 active elements (0 deactivated)
22:00:57 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:00:58 INFO    opendrift:2056: 2025-03-06 03:00:35.654869 - step 11 of 48 - 4583 active elements (0 deactivated)
22:00:59 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:01:00 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:01:00 INFO    opendrift:2056: 2025-03-06 03:30:35.654869 - step 12 of 48 - 5000 active elements (0 deactivated)
22:01:00 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:01:02 INFO    opendrift:2056: 2025-03-06 04:00:35.654869 - step 13 of 48 - 5417 active elements (0 deactivated)
22:01:02 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:01:03 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:01:03 INFO    opendrift:2056: 2025-03-06 04:30:35.654869 - step 14 of 48 - 5833 active elements (0 deactivated)
22:01:03 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:01:05 INFO    opendrift:2056: 2025-03-06 05:00:35.654869 - step 15 of 48 - 6250 active elements (0 deactivated)
22:01:05 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:01:06 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:01:06 INFO    opendrift:2056: 2025-03-06 05:30:35.654869 - step 16 of 48 - 6667 active elements (0 deactivated)
22:01:06 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:01:09 INFO    opendrift:2056: 2025-03-06 06:00:35.654869 - step 17 of 48 - 7083 active elements (0 deactivated)
22:01:09 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:01:10 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:01:10 INFO    opendrift:2056: 2025-03-06 06:30:35.654869 - step 18 of 48 - 7500 active elements (0 deactivated)
22:01:10 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:01:12 INFO    opendrift:2056: 2025-03-06 07:00:35.654869 - step 19 of 48 - 7916 active elements (0 deactivated)
22:01:14 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:01:15 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:01:15 INFO    opendrift:2056: 2025-03-06 07:30:35.654869 - step 20 of 48 - 8333 active elements (0 deactivated)
22:01:15 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:01:17 INFO    opendrift:2056: 2025-03-06 08:00:35.654869 - step 21 of 48 - 8750 active elements (0 deactivated)
22:01:17 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:01:19 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:01:19 INFO    opendrift:2056: 2025-03-06 08:30:35.654869 - step 22 of 48 - 9166 active elements (0 deactivated)
22:01:19 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:01:20 INFO    opendrift:2056: 2025-03-06 09:00:35.654869 - step 23 of 48 - 9583 active elements (0 deactivated)
22:01:21 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:01:22 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:01:22 INFO    opendrift:2056: 2025-03-06 09:30:35.654869 - step 24 of 48 - 10000 active elements (0 deactivated)
22:01:22 WARNING opendrift.readers.basereader.structured:326: Data block from https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be not large enough to cover element positions within timestep. Buffer size (8) must be increased. See `Variables.set_buffer_size`.
22:01:22 INFO    opendrift:2056: 2025-03-06 10:00:35.654869 - step 25 of 48 - 10000 active elements (0 deactivated)
22:01:26 INFO    opendrift:2056: 2025-03-06 10:30:35.654869 - step 26 of 48 - 9999 active elements (1 deactivated)
22:01:27 INFO    opendrift:2056: 2025-03-06 11:00:35.654869 - step 27 of 48 - 9996 active elements (4 deactivated)
22:01:29 INFO    opendrift:2056: 2025-03-06 11:30:35.654869 - step 28 of 48 - 9993 active elements (7 deactivated)
22:01:29 INFO    opendrift:2056: 2025-03-06 12:00:35.654869 - step 29 of 48 - 9981 active elements (19 deactivated)
22:01:31 INFO    opendrift:2056: 2025-03-06 12:30:35.654869 - step 30 of 48 - 9971 active elements (29 deactivated)
22:01:31 INFO    opendrift:2056: 2025-03-06 13:00:35.654869 - step 31 of 48 - 9964 active elements (36 deactivated)
22:01:33 INFO    opendrift:2056: 2025-03-06 13:30:35.654869 - step 32 of 48 - 9958 active elements (42 deactivated)
22:01:33 INFO    opendrift:2056: 2025-03-06 14:00:35.654869 - step 33 of 48 - 9950 active elements (50 deactivated)
22:01:35 INFO    opendrift:2056: 2025-03-06 14:30:35.654869 - step 34 of 48 - 9944 active elements (56 deactivated)
22:01:36 INFO    opendrift:2056: 2025-03-06 15:00:35.654869 - step 35 of 48 - 9940 active elements (60 deactivated)
22:01:38 INFO    opendrift:2056: 2025-03-06 15:30:35.654869 - step 36 of 48 - 9931 active elements (69 deactivated)
22:01:38 INFO    opendrift:2056: 2025-03-06 16:00:35.654869 - step 37 of 48 - 9931 active elements (69 deactivated)
22:01:40 INFO    opendrift:2056: 2025-03-06 16:30:35.654869 - step 38 of 48 - 9929 active elements (71 deactivated)
22:01:40 INFO    opendrift:2056: 2025-03-06 17:00:35.654869 - step 39 of 48 - 9922 active elements (78 deactivated)
22:01:42 INFO    opendrift:2056: 2025-03-06 17:30:35.654869 - step 40 of 48 - 9917 active elements (83 deactivated)
22:01:43 INFO    opendrift:2056: 2025-03-06 18:00:35.654869 - step 41 of 48 - 9916 active elements (84 deactivated)
22:01:45 INFO    opendrift:2056: 2025-03-06 18:30:35.654869 - step 42 of 48 - 9912 active elements (88 deactivated)
22:01:45 INFO    opendrift:2056: 2025-03-06 19:00:35.654869 - step 43 of 48 - 9909 active elements (91 deactivated)
22:01:52 INFO    opendrift:2056: 2025-03-06 19:30:35.654869 - step 44 of 48 - 9903 active elements (97 deactivated)
22:01:52 INFO    opendrift:2056: 2025-03-06 20:00:35.654869 - step 45 of 48 - 9896 active elements (104 deactivated)
22:01:55 INFO    opendrift:2056: 2025-03-06 20:30:35.654869 - step 46 of 48 - 9881 active elements (119 deactivated)
22:01:55 INFO    opendrift:2056: 2025-03-06 21:00:35.654869 - step 47 of 48 - 9876 active elements (124 deactivated)
22:01:58 INFO    opendrift:2056: 2025-03-06 21:30:35.654869 - step 48 of 48 - 9869 active elements (131 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_temperature                                                                (trajectory, time) float32 1MB ...
    sea_water_salinity                                                                   (trajectory, time) float32 1MB ...
    sea_floor_depth_below_sea_level                                                      (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: (12/162)
    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])

  • time
    (time)
    datetime64[ns]
    2025-03-05T22:00:35.654869 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2025-03-05T22:00:35.654869000', '2025-03-05T23:00:35.654869000',
           '2025-03-06T00:00:35.654869000', '2025-03-06T01:00:35.654869000',
           '2025-03-06T02:00:35.654869000', '2025-03-06T03:00:35.654869000',
           '2025-03-06T04:00:35.654869000', '2025-03-06T05:00:35.654869000',
           '2025-03-06T06:00:35.654869000', '2025-03-06T07:00:35.654869000',
           '2025-03-06T08:00:35.654869000', '2025-03-06T09:00:35.654869000',
           '2025-03-06T10:00:35.654869000', '2025-03-06T11:00:35.654869000',
           '2025-03-06T12:00:35.654869000', '2025-03-06T13:00:35.654869000',
           '2025-03-06T14:00:35.654869000', '2025-03-06T15:00:35.654869000',
           '2025-03-06T16:00:35.654869000', '2025-03-06T17:00:35.654869000',
           '2025-03-06T18:00:35.654869000', '2025-03-06T19:00:35.654869000',
           '2025-03-06T20:00:35.654869000', '2025-03-06T21:00:35.654869000',
           '2025-03-06T22:00:35.654869000'], 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.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           ...,
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  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.],
           ...,
           [nan, nan, nan, ...,  1.,  1.,  1.],
           [nan, nan, nan, ...,  1.,  1.,  1.],
           [nan, nan, nan, ...,  1.,  1.,  1.]], 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., 82800., 86400.],
           [    0.,  3600.,  7200., ..., 79200., 82800., 86400.],
           [    0.,  3600.,  7200., ..., 79200., 82800., 86400.],
           ...,
           [   nan,    nan,    nan, ..., 37800., 41400., 45000.],
           [   nan,    nan,    nan, ..., 37800., 41400., 45000.],
           [   nan,    nan,    nan, ..., 37800., 41400., 45000.]],
          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.],
           ...,
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.]], dtype=float32)

  • lon
    (trajectory, time)
    float32
    16.05 16.05 16.05 ... 17.71 17.7

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    16.024904

    maxval :

    17.814707

    array([[16.04527 , 16.045025, 16.051077, ..., 16.207262, 16.210337,
            16.210712],
           [16.04203 , 16.048746, 16.058193, ..., 16.24998 , 16.26661 ,
            16.267014],
           [16.043642, 16.048874, 16.060316, ..., 16.281471, 16.301922,
            16.323534],
           ...,
           [      nan,       nan,       nan, ..., 17.71985 , 17.713284,
            17.707638],
           [      nan,       nan,       nan, ..., 17.720182, 17.7036  ,
            17.697416],
           [      nan,       nan,       nan, ..., 17.724054, 17.714163,
            17.703712]], dtype=float32)

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

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    68.98354

    maxval :

    70.017456

    array([[68.98883 , 68.989586, 68.99404 , ..., 68.996765, 68.997086,
            68.996765],
           [68.988365, 68.993996, 68.99844 , ..., 69.01129 , 69.01073 ,
            69.010666],
           [68.99077 , 68.99449 , 68.999596, ..., 69.01512 , 69.01201 ,
            69.01002 ],
           ...,
           [      nan,       nan,       nan, ..., 69.97966 , 69.97947 ,
            69.98499 ],
           [      nan,       nan,       nan, ..., 69.9768  , 69.97945 ,
            69.98511 ],
           [      nan,       nan,       nan, ..., 69.988266, 69.98894 ,
            69.99414 ]], dtype=float32)

  • z
    (trajectory, time)
    float32
    0.0 -0.5131 0.0 ... 0.0 -1.162

    dtype :

    <class 'numpy.float32'>

    units :

    m

    standard_name :

    z

    long_name :

    vertical position

    axis :

    Z

    positive :

    up

    minval :

    -47.173054

    maxval :

    0.0

    array([[  0.        ,  -0.5130667 ,   0.        , ...,   0.        ,
            -31.483778  , -18.001028  ],
           [  0.        ,   0.        ,  -0.251015  , ...,   0.        ,
              0.        ,   0.        ],
           [  0.        ,  -0.36431465,   0.        , ...,   0.        ,
              0.        ,   0.        ],
           ...,
           [         nan,          nan,          nan, ...,   0.        ,
             -0.94831616,   0.        ],
           [         nan,          nan,          nan, ...,  -0.44301668,
            -11.070461  ,   0.        ],
           [         nan,          nan,          nan, ...,  -1.0042901 ,
              0.        ,  -1.1620916 ]], 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 :

    %

    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, 0.03],
           [0.03, 0.03, 0.03, ..., 0.03, 0.03, 0.03],
           [0.03, 0.03, 0.03, ..., 0.03, 0.03, 0.03],
           ...,
           [ 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]], 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.],
           ...,
           [nan, nan, nan, ...,  1.,  1.,  1.],
           [nan, nan, nan, ...,  1.,  1.,  1.],
           [nan, nan, nan, ...,  1.,  1.,  1.]], dtype=float32)

  • terminal_velocity
    (trajectory, time)
    float32
    0.0 0.002032 ... 0.1019 0.01971

    dtype :

    <class 'numpy.float32'>

    units :

    m/s

    description :

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

    minval :

    0.0

    maxval :

    0.12908016

    array([[0.        , 0.0020317 , 0.02690855, ..., 0.07536075, 0.00186617,
            0.00186526],
           [0.        , 0.08271015, 0.00701376, ..., 0.06595942, 0.01800122,
            0.08292654],
           [0.        , 0.09760439, 0.0156755 , ..., 0.12243853, 0.0067185 ,
            0.01448191],
           ...,
           [       nan,        nan,        nan, ..., 0.10684238, 0.04801775,
            0.00899487],
           [       nan,        nan,        nan, ..., 0.11488333, 0.01411584,
            0.07867316],
           [       nan,        nan,        nan, ..., 0.0135969 , 0.10185721,
            0.01970732]], dtype=float32)

  • mass_oil
    (trajectory, time)
    float32
    0.9708 0.9643 ... 0.7831 0.7497

    dtype :

    <class 'numpy.float32'>

    units :

    kg

    minval :

    0.65426284

    maxval :

    0.9708034

    array([[0.9708034 , 0.9643412 , 0.9639814 , ..., 0.9364757 , 0.9066462 ,
            0.9038925 ],
           [0.9708034 , 0.9648644 , 0.9594372 , ..., 0.9410979 , 0.91244125,
            0.90573156],
           [0.9708034 , 0.95799625, 0.94386333, ..., 0.90628576, 0.8739699 ,
            0.86214656],
           ...,
           [       nan,        nan,        nan, ..., 0.83654314, 0.79725116,
            0.77090675],
           [       nan,        nan,        nan, ..., 0.81592953, 0.7553239 ,
            0.72563016],
           [       nan,        nan,        nan, ..., 0.8363741 , 0.7831184 ,
            0.7496991 ]], dtype=float32)

  • viscosity
    (trajectory, time)
    float32
    3.35e-06 3.697e-06 ... 3.651e-06

    dtype :

    <class 'numpy.float32'>

    units :

    m2/s

    description :

    Kinematic viscosity of oil (emulsion)

    minval :

    3.349855e-06

    maxval :

    3.707849e-06

    array([[3.3498550e-06, 3.6971055e-06, 3.6973208e-06, ..., 3.7005129e-06,
            3.7003033e-06, 3.6970832e-06],
           [3.3498550e-06, 3.6977158e-06, 3.6986853e-06, ..., 3.7023117e-06,
            3.7025322e-06, 3.7026402e-06],
           [3.3498550e-06, 3.6981248e-06, 3.6983556e-06, ..., 3.7021596e-06,
            3.7024508e-06, 3.7022819e-06],
           ...,
           [          nan,           nan,           nan, ..., 3.6502995e-06,
            3.6550246e-06, 3.6547617e-06],
           [          nan,           nan,           nan, ..., 3.6535728e-06,
            3.6537197e-06, 3.6546883e-06],
           [          nan,           nan,           nan, ..., 3.6457468e-06,
            3.6469050e-06, 3.6505417e-06]], 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 :

    809.0092

    array([[809.0028 , 809.00903, 809.00903, ..., 809.0091 , 809.0091 ,
            809.00903],
           [809.0028 , 809.0091 , 809.0091 , ..., 809.00916, 809.00916,
            809.00916],
           [809.0028 , 809.0091 , 809.0091 , ..., 809.00916, 809.00916,
            809.00916],
           ...,
           [      nan,       nan,       nan, ..., 809.00824, 809.00836,
            809.00836],
           [      nan,       nan,       nan, ..., 809.0083 , 809.0083 ,
            809.00836],
           [      nan,       nan,       nan, ..., 809.0082 , 809.00824,
            809.0083 ]], 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.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           ...,
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.]], 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.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           ...,
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.]], dtype=float32)

  • mass_dispersed
    (trajectory, time)
    float32
    0.0 0.006462 ... 0.1877 0.2211

    dtype :

    <class 'numpy.float32'>

    units :

    kg

    minval :

    0.0

    maxval :

    0.3165405

    array([[0.        , 0.00646218, 0.00682199, ..., 0.03432768, 0.0641572 ,
            0.06691089],
           [0.        , 0.00593898, 0.01136619, ..., 0.02970549, 0.05836212,
            0.06507183],
           [0.        , 0.0128071 , 0.02694005, ..., 0.06451762, 0.0968335 ,
            0.10865684],
           ...,
           [       nan,        nan,        nan, ..., 0.13426022, 0.17355222,
            0.19989662],
           [       nan,        nan,        nan, ..., 0.15487385, 0.2154795 ,
            0.24517323],
           [       nan,        nan,        nan, ..., 0.13442925, 0.18768492,
            0.22110428]], 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.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           ...,
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.]], 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.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           ...,
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.]], 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.,  1.],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.],
           ...,
           [nan, nan, nan, ...,  1.,  1.,  1.],
           [nan, nan, nan, ...,  1.,  1.,  1.],
           [nan, nan, nan, ...,  1.,  1.,  1.]], 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.,  3.],
           [ 3.,  3.,  3., ...,  3.,  3.,  3.],
           [ 3.,  3.,  3., ...,  3.,  3.,  3.],
           ...,
           [nan, nan, nan, ...,  3.,  3.,  3.],
           [nan, nan, nan, ...,  3.,  3.,  3.],
           [nan, nan, nan, ...,  3.,  3.,  3.]], 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 :

    %

    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.],
           ...,
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.]], 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 :

    %

    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.],
           ...,
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.]], 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, 0.001],
           [0.001, 0.001, 0.001, ..., 0.001, 0.001, 0.001],
           [0.001, 0.001, 0.001, ..., 0.001, 0.001, 0.001],
           ...,
           [  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]], dtype=float32)

  • diameter
    (trajectory, time)
    float32
    0.0 0.0001664 ... 0.001868 0.000521

    dtype :

    <class 'numpy.float32'>

    units :

    m

    minval :

    0.0

    maxval :

    0.00299997

    array([[0.        , 0.00016644, 0.00060571, ..., 0.00101342, 0.00015948,
            0.00015948],
           [0.        , 0.00123284, 0.00030921, ..., 0.00094804, 0.00049525,
            0.00123941],
           [0.        , 0.00042148, 0.00046227, ..., 0.00270197, 0.00030255,
            0.00044418],
           ...,
           [       nan,        nan,        nan, ..., 0.00205568, 0.00081267,
            0.00035175],
           [       nan,        nan,        nan, ..., 0.00237683, 0.0004407 ,
            0.00111468],
           [       nan,        nan,        nan, ..., 0.00043304, 0.00186826,
            0.00052096]], dtype=float32)

  • x_sea_water_velocity
    (trajectory, time)
    float32
    -0.01047 0.04391 ... -0.06724

    minval :

    -0.6148746

    maxval :

    0.6362996

    array([[-0.0104722 ,  0.04390832, -0.02160434, ...,  0.05774058,
             0.00440129,  0.00397748],
           [-0.02625391,  0.12279763, -0.06866787, ..., -0.02874254,
            -0.08603185, -0.03434594],
           [ 0.02005424,  0.00073682, -0.04159483, ...,  0.03670656,
             0.10273666,  0.21047792],
           ...,
           [        nan,         nan,         nan, ..., -0.17470129,
            -0.11784051, -0.05977439],
           [        nan,         nan,         nan, ..., -0.1839672 ,
            -0.09455018, -0.11048106],
           [        nan,         nan,         nan, ..., -0.16914217,
            -0.15454933, -0.06723739]], dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    0.0301 0.07378 ... 0.1472 0.175

    minval :

    -0.45711774

    maxval :

    0.5739211

    array([[ 0.03010493,  0.07377641, -0.03763898, ..., -0.0118835 ,
            -0.00143878, -0.01842121],
           [ 0.08470456,  0.14131051,  0.06823926, ...,  0.02753143,
             0.01889763,  0.00803262],
           [ 0.11232236, -0.01018085,  0.02766856, ..., -0.05149082,
            -0.07667372, -0.03359093],
           ...,
           [        nan,         nan,         nan, ..., -0.0053553 ,
             0.27409714,  0.24407096],
           [        nan,         nan,         nan, ...,  0.11382602,
             0.26248693,  0.28023553],
           [        nan,         nan,         nan, ...,  0.1253959 ,
             0.14722073,  0.17501196]], dtype=float32)

  • x_wind
    (trajectory, time)
    float32
    3.831 3.061 4.429 ... 1.814 2.472

    minval :

    -3.6102748

    maxval :

    10.9277115

    array([[3.831109 , 3.0610054, 4.4293013, ..., 6.8788896, 5.481116 ,
            4.4667115],
           [4.48391  , 3.7544162, 3.596871 , ..., 6.749697 , 5.852222 ,
            4.3115277],
           [4.9130917, 4.1106133, 3.963877 , ..., 7.1687675, 5.789644 ,
            5.565649 ],
           ...,
           [      nan,       nan,       nan, ..., 5.3540254, 2.1637642,
            1.9255327],
           [      nan,       nan,       nan, ..., 5.746095 , 1.3042063,
            2.4597309],
           [      nan,       nan,       nan, ..., 6.0958333, 1.8143893,
            2.472109 ]], dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    4.436 3.857 3.913 ... -7.667 -6.415

    minval :

    -9.451701

    maxval :

    8.988343

    array([[ 4.436028  ,  3.85669   ,  3.9131358 , ..., -2.0867374 ,
             0.4239744 , -0.57644564],
           [ 3.8288214 ,  3.8620725 ,  3.5141344 , ..., -2.6665745 ,
             1.5835744 , -1.0165373 ],
           [ 3.4398868 ,  4.205679  ,  3.4837065 , ..., -2.3009167 ,
             2.615389  , -0.42931917],
           ...,
           [        nan,         nan,         nan, ..., -6.3882766 ,
            -7.3528023 , -5.871352  ],
           [        nan,         nan,         nan, ..., -6.6818633 ,
            -7.526625  , -6.409952  ],
           [        nan,         nan,         nan, ..., -6.602912  ,
            -7.667181  , -6.4148536 ]], dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    -0.9393 -0.8386 ... -0.4534 -0.5904

    minval :

    -0.93949413

    maxval :

    0.64151794

    array([[-0.9393146 , -0.83861285, -0.56201535, ..., -0.10622875,
            -0.43151566, -0.55851567],
           [-0.9394567 , -0.8378265 , -0.56133527, ..., -0.10622875,
            -0.4311205 , -0.55785304],
           [-0.93912226, -0.8377347 , -0.56115174, ..., -0.10522875,
            -0.43067116, -0.557387  ],
           ...,
           [        nan,         nan,         nan, ..., -0.11393651,
            -0.4524928 , -0.589293  ],
           [        nan,         nan,         nan, ..., -0.11368975,
            -0.45283985, -0.58945847],
           [        nan,         nan,         nan, ..., -0.11378113,
            -0.45342636, -0.5904301 ]], dtype=float32)

  • upward_sea_water_velocity
    (trajectory, time)
    float32
    4.907e-07 6.195e-05 ... -7.567e-05

    minval :

    -0.0065603824

    maxval :

    0.0023307616

    array([[ 4.9066489e-07,  6.1954473e-05,  8.5056534e-05, ...,
            -9.5926065e-05, -2.2680247e-04, -4.0774314e-05],
           [ 4.9464461e-07,  6.0286500e-05,  8.5222469e-05, ...,
            -9.5461721e-05, -8.3980791e-05, -6.2074389e-05],
           [ 5.3436219e-07,  6.1085790e-05,  8.5244763e-05, ...,
            -9.5250434e-05, -8.4079969e-05, -7.1781222e-05],
           ...,
           [           nan,            nan,            nan, ...,
            -9.6418073e-05, -8.7202447e-05, -7.4606978e-05],
           [           nan,            nan,            nan, ...,
            -9.6834774e-05, -8.8636109e-05, -7.9866644e-05],
           [           nan,            nan,            nan, ...,
            -9.9550161e-05, -8.8309054e-05, -7.5670177e-05]], dtype=float32)

  • sea_surface_wave_significant_height
    (trajectory, time)
    float32
    0.8452 0.5964 ... 1.527 1.163

    minval :

    8.699636e-06

    maxval :

    3.1534612

    array([[0.84515125, 0.59639776, 0.8593111 , ..., 1.2711703 , 0.74347067,
            0.49898148],
           [0.8552268 , 0.7136767 , 0.6220508 , ..., 1.2956581 , 0.90420276,
            0.48271647],
           [0.88489383, 0.85078794, 0.6850738 , ..., 1.3944619 , 0.9928617 ,
            0.7665548 ],
           ...,
           [       nan,        nan,        nan, ..., 1.7091011 , 1.4451412 ,
            0.939239  ],
           [       nan,        nan,        nan, ..., 1.9105563 , 1.4354357 ,
            1.1595888 ],
           [       nan,        nan,        nan, ..., 1.9866375 , 1.5271107 ,
            1.1626371 ]], 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.],
           ...,
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  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.],
           ...,
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  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.],
           ...,
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.]], dtype=float32)

  • sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment
    (trajectory, time)
    float32
    5.008 4.207 5.05 ... 6.732 5.874

    minval :

    0.016068676

    maxval :

    9.674384

    array([[5.0083747, 4.2072425, 5.0501556, ..., 6.1423063, 4.6974425,
            3.8483255],
           [5.038141 , 4.602357 , 4.296774 , ..., 6.2011867, 5.180391 ,
            3.785085 ],
           [5.124779 , 5.0250483, 4.5091867, ..., 6.4332867, 5.4284267,
            4.769811 ],
           ...,
           [      nan,       nan,       nan, ..., 7.1221886, 6.549147 ,
            5.2798023],
           [      nan,       nan,       nan, ..., 7.5302515, 6.5271177,
            5.866534 ],
           [      nan,       nan,       nan, ..., 7.6787214, 6.7323217,
            5.8742394]], 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.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           ...,
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.]], 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.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           ...,
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.]], 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.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           ...,
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.]], dtype=float32)

  • sea_water_temperature
    (trajectory, time)
    float32
    4.934 4.938 4.921 ... 5.828 279.0

    minval :

    4.73405

    maxval :

    279.60394

    array([[  4.933573 ,   4.938087 ,   4.9213243, ...,   4.870526 ,
              5.1005683, 278.08725  ],
           [  4.932822 ,   4.9213037,   4.9078517, ...,   4.8401093,
              4.83358  , 277.98456  ],
           [  4.9223976,   4.9208136,   4.903378 , ...,   4.8439946,
              4.838557 , 277.99118  ],
           ...,
           [        nan,         nan,         nan, ...,   5.7896976,
              5.725464 , 278.87686  ],
           [        nan,         nan,         nan, ...,   5.757387 ,
              5.7307935, 278.87823  ],
           [        nan,         nan,         nan, ...,   5.8867917,
              5.827776 , 278.95636  ]], dtype=float32)

  • sea_water_salinity
    (trajectory, time)
    float32
    33.9 33.9 33.9 ... 34.31 34.3 34.29

    minval :

    33.767296

    maxval :

    34.512733

    array([[33.90305 , 33.904774, 33.900974, ..., 33.880077, 33.951813,
            33.899174],
           [33.90314 , 33.899315, 33.896545, ..., 33.85221 , 33.857613,
            33.856403],
           [33.8999  , 33.89886 , 33.89584 , ..., 33.855595, 33.88179 ,
            33.89086 ],
           ...,
           [      nan,       nan,       nan, ..., 34.28228 , 34.257786,
            34.258144],
           [      nan,       nan,       nan, ..., 34.27055 , 34.254395,
            34.254177],
           [      nan,       nan,       nan, ..., 34.31468 , 34.297405,
            34.28885 ]], dtype=float32)

  • sea_floor_depth_below_sea_level
    (trajectory, time)
    float32
    150.2 150.4 155.2 ... 66.65 67.21

    minval :

    9.865723

    maxval :

    460.11096

    array([[150.23592 , 150.38412 , 155.21324 , ..., 162.97842 , 162.73897 ,
            162.62946 ],
           [148.54471 , 153.65582 , 160.51656 , ..., 179.62054 , 170.96207 ,
            173.37402 ],
           [150.03113 , 153.7874  , 162.16966 , ..., 171.29164 , 153.62787 ,
            148.67233 ],
           ...,
           [       nan,        nan,        nan, ...,  65.3106  ,  65.519264,
             66.25154 ],
           [       nan,        nan,        nan, ...,  64.968506,  65.86413 ,
             66.54595 ],
           [       nan,        nan,        nan, ...,  66.2147  ,  66.64931 ,
             67.210175]], dtype=float32)

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

    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],
           ...,
           [ nan,  nan,  nan, ..., 0.02, 0.02, 0.02],
           [ nan,  nan,  nan, ..., 0.02, 0.02, 0.02],
           [ nan,  nan,  nan, ..., 0.02, 0.02, 0.02]], 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.],
           ...,
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  0.,  0.,  0.],
           [nan, nan, nan, ...,  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.],
           ...,
           [nan, nan, nan, ..., 50., 50., 50.],
           [nan, nan, nan, ..., 50., 50., 50.],
           [nan, nan, nan, ..., 50., 50., 50.]], dtype=float32)

• Indexes: (2)
  • trajectory
    PandasIndex

    PandasIndex(Index([   0,    1,    2,    3,    4,    5,    6,    7,    8,    9,
           ...
           9990, 9991, 9992, 9993, 9994, 9995, 9996, 9997, 9998, 9999],
          dtype='int64', name='trajectory', length=10000))

  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['2025-03-05 22:00:35.654869', '2025-03-05 23:00:35.654869',
                   '2025-03-06 00:00:35.654869', '2025-03-06 01:00:35.654869',
                   '2025-03-06 02:00:35.654869', '2025-03-06 03:00:35.654869',
                   '2025-03-06 04:00:35.654869', '2025-03-06 05:00:35.654869',
                   '2025-03-06 06:00:35.654869', '2025-03-06 07:00:35.654869',
                   '2025-03-06 08:00:35.654869', '2025-03-06 09:00:35.654869',
                   '2025-03-06 10:00:35.654869', '2025-03-06 11:00:35.654869',
                   '2025-03-06 12:00:35.654869', '2025-03-06 13:00:35.654869',
                   '2025-03-06 14:00:35.654869', '2025-03-06 15:00:35.654869',
                   '2025-03-06 16:00:35.654869', '2025-03-06 17:00:35.654869',
                   '2025-03-06 18:00:35.654869', '2025-03-06 19:00:35.654869',
                   '2025-03-06 20:00:35.654869', '2025-03-06 21:00:35.654869',
                   '2025-03-06 22:00:35.654869'],
                  dtype='datetime64[ns]', name='time', freq='h'))

• Attributes: (162)

  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 2025-03-05 22:00:40.142969

  date_created :

  2025-03-05T22:00:40.142986

  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/sea/norkyst800m/1h/aggregate_be', 'global_landmask'])

  time_coverage_start :

  2025-03-05 22:00:35.654869

  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: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:horizontal_diffusivity :

  0

  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_mixing :

  True

  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 :

  1.13.0

  seed_lon :

  16.900381

  seed_lat :

  69.4901785

  seed_radius :

  450.0

  seed_time :

  [datetime.datetime(2025, 3, 5, 22, 0, 35, 654869), datetime.datetime(2025, 3, 6, 10, 0, 35, 654872)]

  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": ["2025-03-05 22:00:35.654869", "2025-03-06 10:00:35.654872"], "wind_drift_factor": 0.03, "z": 0}, "type": "Feature"}], "type": "FeatureCollection"}

  simulation_time :

  2025-03-05 22:00:40.153435

  reader_x_sea_water_velocity :

  ['https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be']

  reader_y_sea_water_velocity :

  ['https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be']

  reader_x_wind :

  ['https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be']

  reader_y_wind :

  ['https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be']

  reader_sea_surface_height :

  ['https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be']

  reader_upward_sea_water_velocity :

  ['https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_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/sea/norkyst800m/1h/aggregate_be']

  reader_sea_water_salinity :

  ['https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be']

  reader_sea_floor_depth_below_sea_level :

  ['https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be']

  reader_ocean_vertical_diffusivity :

  0.02

  reader_land_binary_mask :

  ['global_landmask']

  reader_ocean_mixed_layer_thickness :

  50

  time_coverage_end :

  2025-03-06 22:00:35.654869

  time_coverage_duration :

  P1DT0H0M0S

  time_coverage_resolution :

  P0DT0H30M0S

  performance :

  -------------------- Reader performance: -------------------- global_landmask 0:00:01.8 total 0:00:00.0 preparing 0:00:01.8 reading 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be 0:01:01.0 total 0:00:00.0 preparing 0:00:58.9 reading 0:00:03.1 interpolation 0:00:00.0 interpolation_time 0:00:02.1 rotating vectors 0:00:00.0 masking -------------------- Performance: 1:22.9 total time 4.4 configuration 0.0 preparing main loop 0.0 moving elements to ocean 1:18.4 main loop 8.7 updating elements 0.0 oil weathering 0.0 updating viscosities 0.0 updating densities 0.0 emulsification 0.0 dispersion 8.0 vertical mixing 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  68.98354

  geospatial_lat_max :

  70.017456

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  16.024904

  geospatial_lon_max :

  17.814707

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:01:22.968915

  geospatial_vertical_min :

  -47.173054

  geospatial_vertical_max :

  0.0

  geospatial_vertical_positive :

  up

Print and plot results

print(o)

===========================
--------------------
Reader performance:
--------------------
global_landmask
 0:00:01.8  total
 0:00:00.0  preparing
 0:00:01.8  reading
 0:00:00.0  masking
--------------------
https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be
 0:01:01.0  total
 0:00:00.0  preparing
 0:00:58.9  reading
 0:00:03.1  interpolation
 0:00:00.0  interpolation_time
 0:00:02.1  rotating vectors
 0:00:00.0  masking
--------------------
Performance:
 1:22.9 total time
    4.4 configuration
    0.0 preparing main loop
      0.0 moving elements to ocean
 1:18.4 main loop
      8.7 updating elements
        0.0 oil weathering
          0.0 updating viscosities
          0.0 updating densities
          0.0 emulsification
          0.0 dispersion
        8.0 vertical mixing
    0.0 cleaning up
--------------------
===========================
Model:  OpenOil     (OpenDrift version 1.13.0)
        9847 active Oil particles  (153 deactivated, 0 scheduled)
-------------------
Environment variables:
  -----
  land_binary_mask
     1) global_landmask
  -----
  sea_floor_depth_below_sea_level
  sea_surface_height
  sea_water_salinity
  sea_water_temperature
  upward_sea_water_velocity
  x_sea_water_velocity
  x_wind
  y_sea_water_velocity
  y_wind
     1) https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be
  -----
Readers not added for the following variables:
  ocean_mixed_layer_thickness
  ocean_vertical_diffusivity
  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: 2025-03-05 22:00:35.654869 UTC
        Present: 2025-03-06 22:00:35.654869 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)

22:02:12 INFO    opendrift:4600: Saving animation to /root/project/docs/source/gallery/animations/example_cone_0.gif...
22:02:27 INFO    opendrift:3036: Time to make animation: 0:00:28.904972

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

22:02:27 WARNING opendrift:2429: Plotting fast. This will make your plots less accurate.

(<GeoAxes: title={'center': 'OpenDrift - OpenOil (EKOFISK)\n2025-03-05 22:00 to 2025-03-06 22:00 UTC (25 steps)'}>, <Figure size 695.748x1100 with 1 Axes>)