Cod egg

from opendrift.readers import reader_netCDF_CF_generic
from opendrift.models.pelagicegg import PelagicEggDrift
from datetime import datetime, timedelta

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

# Forcing with Topaz ocean model and MEPS atmospheric model
o.add_readers_from_list([
    'https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml',
    'https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc'])

14:41:55 INFO    opendrift:569: OpenDriftSimulation initialised (version 1.14.9 / v1.14.9-78-ged5dc51)

Adjusting some configuration

o.set_config('drift:vertical_mixing', True)
o.set_config('vertical_mixing:diffusivitymodel', 'windspeed_Sundby1983') # windspeed parameterization for eddy diffusivity

Vertical mixing requires fast time step

o.set_config('vertical_mixing:timestep', 60.) # seconds

spawn NEA cod eggs at defined position and time

time = datetime.now()
o.seed_elements(14. , 68.1, z=-40, radius=2000, number=500,
                time=time, diameter=0.0014, neutral_buoyancy_salinity=31.25)
o.seed_elements(12.5, 68., z=-40, radius=2000, number=500,
                time=time, diameter=0.0014, neutral_buoyancy_salinity=31.25)
o.seed_elements(13.5, 68., z=-40, radius=2000, number=500,
                time=time, diameter=0.0014, neutral_buoyancy_salinity=31.25)
o.seed_elements(13., 67.8, z=-40, radius=2000, number=500,
                time=time, diameter=0.0014, neutral_buoyancy_salinity=31.25)

14:41:55 INFO    opendrift.models.basemodel.environment:203: Adding a global landmask from GSHHG
14:41:59 INFO    opendrift.models.basemodel.environment:227: Fallback values will be used for the following variables which have no readers:
14:41:59 INFO    opendrift.models.basemodel.environment:230:    x_sea_water_velocity: 0.000000
14:41:59 INFO    opendrift.models.basemodel.environment:230:    y_sea_water_velocity: 0.000000
14:41:59 INFO    opendrift.models.basemodel.environment:230:    sea_surface_height: 0.000000
14:41:59 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_significant_height: 0.000000
14:41:59 INFO    opendrift.models.basemodel.environment:230:    sea_ice_area_fraction: 0.000000
14:41:59 INFO    opendrift.models.basemodel.environment:230:    x_wind: 0.000000
14:41:59 INFO    opendrift.models.basemodel.environment:230:    y_wind: 0.000000
14:41:59 INFO    opendrift.models.basemodel.environment:230:    sea_floor_depth_below_sea_level: 100.000000
14:41:59 INFO    opendrift.models.basemodel.environment:230:    ocean_vertical_diffusivity: 0.020000
14:41:59 INFO    opendrift.models.basemodel.environment:230:    ocean_mixed_layer_thickness: 50.000000
14:41:59 INFO    opendrift.models.basemodel.environment:230:    sea_water_temperature: 10.000000
14:41:59 INFO    opendrift.models.basemodel.environment:230:    sea_water_salinity: 34.000000
14:41:59 INFO    opendrift.models.basemodel.environment:230:    surface_downward_x_stress: 0.000000
14:41:59 INFO    opendrift.models.basemodel.environment:230:    surface_downward_y_stress: 0.000000
14:41:59 INFO    opendrift.models.basemodel.environment:230:    turbulent_kinetic_energy: 0.000000
14:41:59 INFO    opendrift.models.basemodel.environment:230:    turbulent_generic_length_scale: 0.000000
14:41:59 INFO    opendrift.models.basemodel.environment:230:    upward_sea_water_velocity: 0.000000

Running model

o.run(duration=timedelta(hours=48), time_step=3600)

14:41:59 INFO    opendrift:1914: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
14:41:59 INFO    opendrift:1914: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
14:41:59 INFO    opendrift:955: Using existing reader for land_binary_mask to move elements to ocean
14:41:59 INFO    opendrift:986: All points are in ocean
14:41:59 INFO    opendrift:2211: 2026-06-23 14:41:55.785373 - step 1 of 48 - 2000 active elements (0 deactivated)
14:41:59 INFO    opendrift.readers:67: Opening file with xr.open_dataset
14:42:01 INFO    opendrift.readers.reader_netCDF_CF_generic:340: Detected dimensions: {'x': 'x', 'y': 'y', 'time': 'time'}
14:42:01 INFO    opendrift.readers:67: Opening file with xr.open_dataset
14:42:02 INFO    opendrift.readers.reader_netCDF_CF_generic:340: Detected dimensions: {'time': 'time', 'x': 'x', 'y': 'y'}
14:42:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:04 INFO    opendrift:2211: 2026-06-23 15:41:55.785373 - step 2 of 48 - 2000 active elements (0 deactivated)
14:42:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:06 INFO    opendrift:2211: 2026-06-23 16:41:55.785373 - step 3 of 48 - 2000 active elements (0 deactivated)
14:42:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:08 INFO    opendrift:2211: 2026-06-23 17:41:55.785373 - step 4 of 48 - 2000 active elements (0 deactivated)
14:42:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:09 INFO    opendrift:2211: 2026-06-23 18:41:55.785373 - step 5 of 48 - 2000 active elements (0 deactivated)
14:42:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:12 INFO    opendrift:2211: 2026-06-23 19:41:55.785373 - step 6 of 48 - 2000 active elements (0 deactivated)
14:42:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:13 INFO    opendrift:2211: 2026-06-23 20:41:55.785373 - step 7 of 48 - 2000 active elements (0 deactivated)
14:42:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:15 INFO    opendrift:2211: 2026-06-23 21:41:55.785373 - step 8 of 48 - 2000 active elements (0 deactivated)
14:42:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:17 INFO    opendrift:2211: 2026-06-23 22:41:55.785373 - step 9 of 48 - 2000 active elements (0 deactivated)
14:42:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:22 INFO    opendrift:2211: 2026-06-23 23:41:55.785373 - step 10 of 48 - 2000 active elements (0 deactivated)
14:42:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:24 INFO    opendrift:2211: 2026-06-24 00:41:55.785373 - step 11 of 48 - 2000 active elements (0 deactivated)
14:42:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:25 INFO    opendrift:2211: 2026-06-24 01:41:55.785373 - step 12 of 48 - 2000 active elements (0 deactivated)
14:42:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:28 INFO    opendrift:2211: 2026-06-24 02:41:55.785373 - step 13 of 48 - 2000 active elements (0 deactivated)
14:42:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:30 INFO    opendrift:2211: 2026-06-24 03:41:55.785373 - step 14 of 48 - 2000 active elements (0 deactivated)
14:42:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:31 INFO    opendrift:2211: 2026-06-24 04:41:55.785373 - step 15 of 48 - 2000 active elements (0 deactivated)
14:42:33 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:33 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:33 INFO    opendrift:2211: 2026-06-24 05:41:55.785373 - step 16 of 48 - 2000 active elements (0 deactivated)
14:42:35 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:35 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:35 INFO    opendrift:2211: 2026-06-24 06:41:55.785373 - step 17 of 48 - 2000 active elements (0 deactivated)
14:42:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:37 INFO    opendrift:2211: 2026-06-24 07:41:55.785373 - step 18 of 48 - 2000 active elements (0 deactivated)
14:42:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:38 INFO    opendrift:2211: 2026-06-24 08:41:55.785373 - step 19 of 48 - 2000 active elements (0 deactivated)
14:42:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:40 INFO    opendrift:2211: 2026-06-24 09:41:55.785373 - step 20 of 48 - 2000 active elements (0 deactivated)
14:42:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:42 INFO    opendrift:2211: 2026-06-24 10:41:55.785373 - step 21 of 48 - 2000 active elements (0 deactivated)
14:42:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:44 INFO    opendrift:2211: 2026-06-24 11:41:55.785373 - step 22 of 48 - 2000 active elements (0 deactivated)
14:42:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:45 INFO    opendrift:2211: 2026-06-24 12:41:55.785373 - step 23 of 48 - 2000 active elements (0 deactivated)
14:42:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:47 INFO    opendrift:2211: 2026-06-24 13:41:55.785373 - step 24 of 48 - 2000 active elements (0 deactivated)
14:42:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:49 INFO    opendrift:2211: 2026-06-24 14:41:55.785373 - step 25 of 48 - 2000 active elements (0 deactivated)
14:42:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:51 INFO    opendrift:2211: 2026-06-24 15:41:55.785373 - step 26 of 48 - 2000 active elements (0 deactivated)
14:42:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:53 INFO    opendrift:2211: 2026-06-24 16:41:55.785373 - step 27 of 48 - 2000 active elements (0 deactivated)
14:42:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:55 INFO    opendrift:2211: 2026-06-24 17:41:55.785373 - step 28 of 48 - 2000 active elements (0 deactivated)
14:42:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:42:56 INFO    opendrift:2211: 2026-06-24 18:41:55.785373 - step 29 of 48 - 2000 active elements (0 deactivated)
14:43:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:02 INFO    opendrift:2211: 2026-06-24 19:41:55.785373 - step 30 of 48 - 2000 active elements (0 deactivated)
14:43:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:04 INFO    opendrift:2211: 2026-06-24 20:41:55.785373 - step 31 of 48 - 2000 active elements (0 deactivated)
14:43:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:06 INFO    opendrift:2211: 2026-06-24 21:41:55.785373 - step 32 of 48 - 2000 active elements (0 deactivated)
14:43:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:08 INFO    opendrift:2211: 2026-06-24 22:41:55.785373 - step 33 of 48 - 2000 active elements (0 deactivated)
14:43:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:09 INFO    opendrift:2211: 2026-06-24 23:41:55.785373 - step 34 of 48 - 2000 active elements (0 deactivated)
14:43:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:11 INFO    opendrift:2211: 2026-06-25 00:41:55.785373 - step 35 of 48 - 2000 active elements (0 deactivated)
14:43:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:13 INFO    opendrift:2211: 2026-06-25 01:41:55.785373 - step 36 of 48 - 2000 active elements (0 deactivated)
14:43:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:15 INFO    opendrift:2211: 2026-06-25 02:41:55.785373 - step 37 of 48 - 2000 active elements (0 deactivated)
14:43:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:17 INFO    opendrift:2211: 2026-06-25 03:41:55.785373 - step 38 of 48 - 2000 active elements (0 deactivated)
14:43:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:20 INFO    opendrift:2211: 2026-06-25 04:41:55.785373 - step 39 of 48 - 2000 active elements (0 deactivated)
14:43:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:21 INFO    opendrift:2211: 2026-06-25 05:41:55.785373 - step 40 of 48 - 2000 active elements (0 deactivated)
14:43:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:23 INFO    opendrift:2211: 2026-06-25 06:41:55.785373 - step 41 of 48 - 2000 active elements (0 deactivated)
14:43:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:25 INFO    opendrift:2211: 2026-06-25 07:41:55.785373 - step 42 of 48 - 2000 active elements (0 deactivated)
14:43:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:27 INFO    opendrift:2211: 2026-06-25 08:41:55.785373 - step 43 of 48 - 2000 active elements (0 deactivated)
14:43:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:29 INFO    opendrift:2211: 2026-06-25 09:41:55.785373 - step 44 of 48 - 2000 active elements (0 deactivated)
14:43:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:32 INFO    opendrift:2211: 2026-06-25 10:41:55.785373 - step 45 of 48 - 2000 active elements (0 deactivated)
14:43:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:34 INFO    opendrift:2211: 2026-06-25 11:41:55.785373 - step 46 of 48 - 2000 active elements (0 deactivated)
14:43:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:36 INFO    opendrift:2211: 2026-06-25 12:41:55.785373 - step 47 of 48 - 2000 active elements (0 deactivated)
14:43:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:38 INFO    opendrift:2211: 2026-06-25 13:41:55.785373 - step 48 of 48 - 2000 active elements (0 deactivated)
14:43:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:43:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor

<xarray.Dataset> Size: 13MB
Dimensions:                              (trajectory: 2000, time: 49)
Coordinates:
  * trajectory                           (trajectory) int64 16kB 0 1 ... 1999
  * time                                 (time) datetime64[ns] 392B 2026-06-2...
Data variables: (12/32)
    status                               (trajectory, time) float32 392kB 0.0...
    moving                               (trajectory, time) float32 392kB 1.0...
    age_seconds                          (trajectory, time) float32 392kB 0.0...
    origin_marker                        (trajectory, time) float32 392kB 0.0...
    lon                                  (trajectory, time) float32 392kB 14....
    lat                                  (trajectory, time) float32 392kB 68....
    ...                                   ...
    sea_water_salinity                   (trajectory, time) float32 392kB 34....
    surface_downward_x_stress            (trajectory, time) float32 392kB 0.0...
    surface_downward_y_stress            (trajectory, time) float32 392kB 0.0...
    turbulent_kinetic_energy             (trajectory, time) float32 392kB 0.0...
    turbulent_generic_length_scale       (trajectory, time) float32 392kB 0.0...
    upward_sea_water_velocity            (trajectory, time) float32 392kB 0.0...
Attributes: (12/139)
    Conventions:                                                      CF-1.11...
    standard_name_vocabulary:                                         CF Stan...
    featureType:                                                      trajectory
    title:                                                            OpenDri...
    summary:                                                          Output ...
    keywords:                                                         traject...
    ...                                                               ...
    geospatial_lon_units:                                             degrees...
    geospatial_lon_resolution:                                        point
    runtime:                                                          0:01:45...
    geospatial_vertical_min:                                          -51.50273
    geospatial_vertical_max:                                          0.0
    geospatial_vertical_positive:                                     up

xarray.Dataset

• Dimensions:
  • trajectory: 2000
  • time: 49
• Coordinates: (2)
  • trajectory
    (trajectory)
    int64
    0 1 2 3 4 ... 1996 1997 1998 1999

    cf_role :

    trajectory_id

    dtype :

    <class 'numpy.int32'>

    array([   0,    1,    2, ..., 1997, 1998, 1999], shape=(2000,))

  • time
    (time)
    datetime64[ns]
    2026-06-23T14:41:55.785373 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2026-06-23T14:41:55.785373000', '2026-06-23T15:41:55.785373000',
           '2026-06-23T16:41:55.785373000', '2026-06-23T17:41:55.785373000',
           '2026-06-23T18:41:55.785373000', '2026-06-23T19:41:55.785373000',
           '2026-06-23T20:41:55.785373000', '2026-06-23T21:41:55.785373000',
           '2026-06-23T22:41:55.785373000', '2026-06-23T23:41:55.785373000',
           '2026-06-24T00:41:55.785373000', '2026-06-24T01:41:55.785373000',
           '2026-06-24T02:41:55.785373000', '2026-06-24T03:41:55.785373000',
           '2026-06-24T04:41:55.785373000', '2026-06-24T05:41:55.785373000',
           '2026-06-24T06:41:55.785373000', '2026-06-24T07:41:55.785373000',
           '2026-06-24T08:41:55.785373000', '2026-06-24T09:41:55.785373000',
           '2026-06-24T10:41:55.785373000', '2026-06-24T11:41:55.785373000',
           '2026-06-24T12:41:55.785373000', '2026-06-24T13:41:55.785373000',
           '2026-06-24T14:41:55.785373000', '2026-06-24T15:41:55.785373000',
           '2026-06-24T16:41:55.785373000', '2026-06-24T17:41:55.785373000',
           '2026-06-24T18:41:55.785373000', '2026-06-24T19:41:55.785373000',
           '2026-06-24T20:41:55.785373000', '2026-06-24T21:41:55.785373000',
           '2026-06-24T22:41:55.785373000', '2026-06-24T23:41:55.785373000',
           '2026-06-25T00:41:55.785373000', '2026-06-25T01:41:55.785373000',
           '2026-06-25T02:41:55.785373000', '2026-06-25T03:41:55.785373000',
           '2026-06-25T04:41:55.785373000', '2026-06-25T05:41:55.785373000',
           '2026-06-25T06:41:55.785373000', '2026-06-25T07:41:55.785373000',
           '2026-06-25T08:41:55.785373000', '2026-06-25T09:41:55.785373000',
           '2026-06-25T10:41:55.785373000', '2026-06-25T11:41:55.785373000',
           '2026-06-25T12:41:55.785373000', '2026-06-25T13:41:55.785373000',
           '2026-06-25T14:41:55.785373000'], dtype='datetime64[ns]')

• Data variables: (32)
  • 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 0]

    flag_values :

    [0]

    flag_meanings :

    active

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], shape=(2000, 49), 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 :

    1

    maxval :

    1

    array([[1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.],
           ...,
           [1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.]], shape=(2000, 49), dtype=float32)

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

    dtype :

    <class 'numpy.float32'>

    units :

    s

    minval :

    0.0

    maxval :

    172800.0

    array([[     0.,   3600.,   7200., ..., 165600., 169200., 172800.],
           [     0.,   3600.,   7200., ..., 165600., 169200., 172800.],
           [     0.,   3600.,   7200., ..., 165600., 169200., 172800.],
           ...,
           [     0.,   3600.,   7200., ..., 165600., 169200., 172800.],
           [     0.,   3600.,   7200., ..., 165600., 169200., 172800.],
           [     0.,   3600.,   7200., ..., 165600., 169200., 172800.]],
          shape=(2000, 49), dtype=float32)

  • origin_marker
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 3.0 3.0 3.0 3.0

    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 1 2 3]

    flag_meanings :

    Seed_0 Seed_1 Seed_2 Seed_3

    minval :

    0

    maxval :

    3

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [3., 3., 3., ..., 3., 3., 3.],
           [3., 3., 3., ..., 3., 3., 3.],
           [3., 3., 3., ..., 3., 3., 3.]], shape=(2000, 49), dtype=float32)

  • lon
    (trajectory, time)
    float32
    14.08 14.1 14.1 ... 12.84 12.83

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    12.35679

    maxval :

    14.154354

    array([[14.084752 , 14.095566 , 14.10303  , ..., 13.913452 , 13.902036 ,
            13.895094 ],
           [14.019218 , 14.029745 , 14.037082 , ..., 13.851608 , 13.841231 ,
            13.835448 ],
           [14.047049 , 14.055736 , 14.060853 , ..., 13.829312 , 13.818851 ,
            13.812913 ],
           ...,
           [13.055853 , 13.09513  , 13.1202135, ..., 13.172038 , 13.171836 ,
            13.179118 ],
           [13.005157 , 13.039411 , 13.061647 , ..., 13.146813 , 13.151564 ,
            13.160669 ],
           [13.002091 , 13.04463  , 13.074773 , ..., 12.852266 , 12.83698  ,
            12.831725 ]], shape=(2000, 49), dtype=float32)

  • lat
    (trajectory, time)
    float32
    68.11 68.1 68.1 ... 67.58 67.58

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    67.560074

    maxval :

    68.282684

    array([[68.10684 , 68.10488 , 68.10201 , ..., 68.076645, 68.077835,
            68.08047 ],
           [68.09939 , 68.09773 , 68.09508 , ..., 68.068886, 68.06983 ,
            68.07203 ],
           [68.11965 , 68.11689 , 68.1133  , ..., 68.07874 , 68.07944 ,
            68.08133 ],
           ...,
           [67.79944 , 67.78917 , 67.77877 , ..., 67.69176 , 67.69329 ,
            67.695755],
           [67.82828 , 67.816185, 67.804634, ..., 67.810684, 67.81199 ,
            67.81229 ],
           [67.78542 , 67.77331 , 67.75995 , ..., 67.5764  , 67.57887 ,
            67.58297 ]], shape=(2000, 49), dtype=float32)

  • z
    (trajectory, time)
    float32
    -40.0 -47.17 ... -12.18 -15.6

    dtype :

    <class 'numpy.float32'>

    units :

    m

    standard_name :

    z

    long_name :

    vertical position

    axis :

    Z

    positive :

    up

    minval :

    -51.50273

    maxval :

    0.0

    array([[-40.        , -47.1717    , -45.48356   , ...,  -2.2732987 ,
             -1.1286497 ,  -0.7014335 ],
           [-40.        , -43.46425   , -42.175884  , ...,  -5.2477994 ,
             -5.515438  , -18.389324  ],
           [-40.        , -26.323301  ,  -9.785224  , ...,  -5.6721234 ,
             -0.16317254,  -8.046397  ],
           ...,
           [-40.        , -37.480103  , -34.75321   , ..., -15.302242  ,
            -14.784154  , -16.25571   ],
           [-40.        , -29.791548  , -15.939239  , ...,  -7.5646014 ,
             -1.6714542 ,  -4.402173  ],
           [-40.        , -39.9188    , -26.68876   , ..., -12.368791  ,
            -12.1783    , -15.5962    ]], shape=(2000, 49), dtype=float32)

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

    dtype :

    <class 'numpy.float32'>

    units :

    1

    description :

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

    minval :

    0.02

    maxval :

    0.02

    array([[0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           ...,
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02]],
          shape=(2000, 49), dtype=float32)

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

    dtype :

    <class 'numpy.float32'>

    units :

    1

    description :

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

    minval :

    1.0

    maxval :

    1.0

    array([[1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.],
           ...,
           [1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.]], shape=(2000, 49), dtype=float32)

  • terminal_velocity
    (trajectory, time)
    float32
    0.0 0.001324 ... 0.001324 0.001324

    dtype :

    <class 'numpy.float32'>

    units :

    m/s

    description :

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

    minval :

    0.0

    maxval :

    0.0013238009

    array([[0.       , 0.0013238, 0.0013238, ..., 0.0013238, 0.0013238,
            0.0013238],
           [0.       , 0.0013238, 0.0013238, ..., 0.0013238, 0.0013238,
            0.0013238],
           [0.       , 0.0013238, 0.0013238, ..., 0.0013238, 0.0013238,
            0.0013238],
           ...,
           [0.       , 0.0013238, 0.0013238, ..., 0.0013238, 0.0013238,
            0.0013238],
           [0.       , 0.0013238, 0.0013238, ..., 0.0013238, 0.0013238,
            0.0013238],
           [0.       , 0.0013238, 0.0013238, ..., 0.0013238, 0.0013238,
            0.0013238]], shape=(2000, 49), dtype=float32)

  • diameter
    (trajectory, time)
    float32
    0.0014 0.0014 ... 0.0014 0.0014

    dtype :

    <class 'numpy.float32'>

    units :

    m

    minval :

    0.0014

    maxval :

    0.0014

    array([[0.0014, 0.0014, 0.0014, ..., 0.0014, 0.0014, 0.0014],
           [0.0014, 0.0014, 0.0014, ..., 0.0014, 0.0014, 0.0014],
           [0.0014, 0.0014, 0.0014, ..., 0.0014, 0.0014, 0.0014],
           ...,
           [0.0014, 0.0014, 0.0014, ..., 0.0014, 0.0014, 0.0014],
           [0.0014, 0.0014, 0.0014, ..., 0.0014, 0.0014, 0.0014],
           [0.0014, 0.0014, 0.0014, ..., 0.0014, 0.0014, 0.0014]],
          shape=(2000, 49), dtype=float32)

  • neutral_buoyancy_salinity
    (trajectory, time)
    float32
    31.25 31.25 31.25 ... 31.25 31.25

    dtype :

    <class 'numpy.float32'>

    units :

    []

    minval :

    31.25

    maxval :

    31.25

    array([[31.25, 31.25, 31.25, ..., 31.25, 31.25, 31.25],
           [31.25, 31.25, 31.25, ..., 31.25, 31.25, 31.25],
           [31.25, 31.25, 31.25, ..., 31.25, 31.25, 31.25],
           ...,
           [31.25, 31.25, 31.25, ..., 31.25, 31.25, 31.25],
           [31.25, 31.25, 31.25, ..., 31.25, 31.25, 31.25],
           [31.25, 31.25, 31.25, ..., 31.25, 31.25, 31.25]],
          shape=(2000, 49), dtype=float32)

  • density
    (trajectory, time)
    float32
    1.028e+03 1.028e+03 ... 1.028e+03

    dtype :

    <class 'numpy.float32'>

    units :

    kg/m^3

    minval :

    1028.0

    maxval :

    1028.0

    array([[1028., 1028., 1028., ..., 1028., 1028., 1028.],
           [1028., 1028., 1028., ..., 1028., 1028., 1028.],
           [1028., 1028., 1028., ..., 1028., 1028., 1028.],
           ...,
           [1028., 1028., 1028., ..., 1028., 1028., 1028.],
           [1028., 1028., 1028., ..., 1028., 1028., 1028.],
           [1028., 1028., 1028., ..., 1028., 1028., 1028.]],
          shape=(2000, 49), dtype=float32)

  • hatched
    (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.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], shape=(2000, 49), dtype=float32)

  • x_sea_water_velocity
    (trajectory, time)
    float32
    0.1251 0.08633 ... -0.06215

    minval :

    -0.43130466

    maxval :

    0.5942102

    array([[ 1.2505268e-01,  8.6332537e-02,  2.8835768e-02, ...,
            -1.3217789e-01, -8.0371693e-02, -8.0371693e-02],
           [ 1.2177731e-01,  8.4880665e-02,  2.8553626e-02, ...,
            -1.2018439e-01, -6.6980273e-02, -6.6980273e-02],
           [ 1.0040804e-01,  5.9161879e-02, -2.2557708e-04, ...,
            -1.2110208e-01, -6.8754822e-02, -6.8754822e-02],
           ...,
           [ 4.6043944e-01,  2.9417530e-01,  1.3069703e-01, ...,
            -2.3827245e-03,  8.5706510e-02,  8.5706510e-02],
           [ 4.0107727e-01,  2.6050511e-01,  9.2967503e-02, ...,
             5.5628639e-02,  1.0664331e-01,  1.0664331e-01],
           [ 4.9900907e-01,  3.5379258e-01,  1.7767362e-01, ...,
            -1.8079984e-01, -6.2145423e-02, -6.2145423e-02]],
          shape=(2000, 49), dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    -0.06066 -0.08892 ... 0.1271 0.1271

    minval :

    -0.5945279

    maxval :

    0.42047295

    array([[-0.06065785, -0.08892091, -0.10354963, ...,  0.03683419,
             0.08142062,  0.08142062],
           [-0.05133833, -0.08220822, -0.10056993, ...,  0.02929028,
             0.06815582,  0.06815582],
           [-0.08548072, -0.11140313, -0.11922617, ...,  0.02156903,
             0.05866926,  0.05866926],
           ...,
           [-0.3180274 , -0.3221318 , -0.28945225, ...,  0.0476601 ,
             0.07620438,  0.07620438],
           [-0.37464285, -0.35770118, -0.29681313, ...,  0.04039524,
             0.00915403,  0.00915403],
           [-0.37507924, -0.41379035, -0.39589253, ...,  0.07641238,
             0.1270645 ,  0.1270645 ]], shape=(2000, 49), dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    -0.7386 -0.3662 ... -0.9103 -0.9103

    minval :

    -1.0636897

    maxval :

    0.37619483

    array([[-0.73861665, -0.36620402, -0.01036702, ..., -0.7894018 ,
            -0.9470885 , -0.9470885 ],
           [-0.7392719 , -0.36806664, -0.01306139, ..., -0.78765   ,
            -0.9454373 , -0.9454373 ],
           [-0.73902   , -0.36749452, -0.01198236, ..., -0.7859588 ,
            -0.94405645, -0.94405645],
           ...,
           [-0.73843867, -0.39362627, -0.06018002, ..., -0.78190166,
            -0.9257998 , -0.9257998 ],
           [-0.7500635 , -0.40519887, -0.07085505, ..., -0.7771654 ,
            -0.926605  , -0.926605  ],
           [-0.72792345, -0.38617224, -0.05506657, ..., -0.77505624,
            -0.9103214 , -0.9103214 ]], shape=(2000, 49), dtype=float32)

  • sea_surface_wave_significant_height
    (trajectory, time)
    float32
    0.2223 0.2066 ... 1.302 1.302

    minval :

    5.7763367e-07

    maxval :

    3.6536486

    array([[0.22233915, 0.20656468, 0.29321116, ..., 0.34351957, 0.34862098,
            0.34862098],
           [0.39658704, 0.30373737, 0.26856098, ..., 0.01584679, 0.04509205,
            0.04509205],
           [1.577191  , 0.9798103 , 0.5985224 , ..., 0.0170175 , 0.25165543,
            0.25165543],
           ...,
           [0.64322877, 0.9130746 , 0.95223576, ..., 1.1510458 , 1.3832908 ,
            1.3832908 ],
           [0.5361222 , 0.5312864 , 0.5227092 , ..., 0.3810826 , 0.3309123 ,
            0.3309123 ],
           [0.23222262, 0.3873785 , 0.3775064 , ..., 1.0925249 , 1.3016968 ,
            1.3016968 ]], shape=(2000, 49), 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.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], shape=(2000, 49), dtype=float32)

  • x_wind
    (trajectory, time)
    float32
    2.67 2.495 2.947 ... 4.268 4.268

    minval :

    -6.118084

    maxval :

    10.567249

    array([[ 2.670435  ,  2.4953496 ,  2.9474018 , ...,  1.5698156 ,
             1.2949064 ,  1.2949064 ],
           [-4.0149584 , -3.2735524 , -2.6267414 , ..., -0.09024261,
            -0.4226331 , -0.4226331 ],
           [ 2.7440631 ,  2.593906  ,  2.281817  , ..., -0.28079495,
             2.3517475 ,  2.3517475 ],
           ...,
           [ 5.0734773 ,  4.9294424 ,  4.140282  , ...,  4.521317  ,
             6.24804   ,  6.24804   ],
           [ 2.764024  ,  2.6889997 ,  3.343987  , ...,  3.0099442 ,
             2.2053795 ,  2.2053795 ],
           [ 3.0685647 ,  3.9612076 ,  3.9166305 , ...,  3.4211836 ,
             4.2681813 ,  4.2681813 ]], shape=(2000, 49), dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    1.381 1.473 1.798 ... 5.89 5.89

    minval :

    -8.396563

    maxval :

    8.792681

    array([[ 1.3809253 ,  1.4731488 ,  1.7977699 , ...,  3.3911486 ,
             3.5347989 ,  3.5347989 ],
           [ 0.03917924, -1.2770679 , -2.004331  , ...,  0.7975179 ,
             1.2862315 ,  1.2862315 ],
           [ 7.522205  ,  5.7533765 ,  4.3730416 , ...,  0.7828937 ,
             2.1677587 ,  2.1677587 ],
           ...,
           [ 0.6382346 , -3.580147  , -4.6440105 , ...,  5.133047  ,
             4.146484  ,  4.146484  ],
           [-3.7621481 , -3.7902887 , -3.172711  , ...,  2.53602   ,
             2.9305325 ,  2.9305325 ],
           [-0.1544511 , -0.23649588,  0.07612544, ...,  5.7190113 ,
             5.890427  ,  5.890427  ]], shape=(2000, 49), dtype=float32)

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

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], shape=(2000, 49), dtype=float32)

  • sea_floor_depth_below_sea_level
    (trajectory, time)
    float32
    91.6 92.37 93.61 ... 216.4 216.4

    minval :

    53.39817

    maxval :

    234.58734

    array([[ 91.59829 ,  92.37247 ,  93.614685, ...,  79.97722 ,  78.83698 ,
             78.83698 ],
           [ 94.49078 ,  95.816795,  97.032715, ...,  86.00872 ,  86.11591 ,
             86.11591 ],
           [ 86.55411 ,  87.6774  ,  89.16257 , ...,  80.48866 ,  79.73097 ,
             79.73097 ],
           ...,
           [131.81073 , 146.84444 , 158.1906  , ..., 213.93887 , 213.23198 ,
            213.23198 ],
           [ 97.5854  , 116.43461 , 130.07834 , ..., 146.29625 , 146.60556 ,
            146.60556 ],
           [122.13023 , 141.82587 , 157.06659 , ..., 219.24213 , 216.35577 ,
            216.35577 ]], shape=(2000, 49), 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],
           ...,
           [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]],
          shape=(2000, 49), dtype=float32)

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

    minval :

    50.0

    maxval :

    50.0

    array([[50., 50., 50., ..., 50., 50., 50.],
           [50., 50., 50., ..., 50., 50., 50.],
           [50., 50., 50., ..., 50., 50., 50.],
           ...,
           [50., 50., 50., ..., 50., 50., 50.],
           [50., 50., 50., ..., 50., 50., 50.],
           [50., 50., 50., ..., 50., 50., 50.]],
          shape=(2000, 49), dtype=float32)

  • sea_water_temperature
    (trajectory, time)
    float32
    10.0 10.0 10.0 ... 10.0 10.0 10.0

    minval :

    10.0

    maxval :

    10.0

    array([[10., 10., 10., ..., 10., 10., 10.],
           [10., 10., 10., ..., 10., 10., 10.],
           [10., 10., 10., ..., 10., 10., 10.],
           ...,
           [10., 10., 10., ..., 10., 10., 10.],
           [10., 10., 10., ..., 10., 10., 10.],
           [10., 10., 10., ..., 10., 10., 10.]],
          shape=(2000, 49), dtype=float32)

  • sea_water_salinity
    (trajectory, time)
    float32
    34.0 34.0 34.0 ... 34.0 34.0 34.0

    minval :

    34.0

    maxval :

    34.0

    array([[34., 34., 34., ..., 34., 34., 34.],
           [34., 34., 34., ..., 34., 34., 34.],
           [34., 34., 34., ..., 34., 34., 34.],
           ...,
           [34., 34., 34., ..., 34., 34., 34.],
           [34., 34., 34., ..., 34., 34., 34.],
           [34., 34., 34., ..., 34., 34., 34.]],
          shape=(2000, 49), dtype=float32)

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

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], shape=(2000, 49), dtype=float32)

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

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], shape=(2000, 49), dtype=float32)

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

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], shape=(2000, 49), dtype=float32)

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

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], shape=(2000, 49), dtype=float32)

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

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], shape=(2000, 49), dtype=float32)

• Indexes: (2)
  • trajectory
    PandasIndex

    PandasIndex(Index([   0,    1,    2,    3,    4,    5,    6,    7,    8,    9,
           ...
           1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999],
          dtype='int64', name='trajectory', length=2000))

  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['2026-06-23 14:41:55.785373', '2026-06-23 15:41:55.785373',
                   '2026-06-23 16:41:55.785373', '2026-06-23 17:41:55.785373',
                   '2026-06-23 18:41:55.785373', '2026-06-23 19:41:55.785373',
                   '2026-06-23 20:41:55.785373', '2026-06-23 21:41:55.785373',
                   '2026-06-23 22:41:55.785373', '2026-06-23 23:41:55.785373',
                   '2026-06-24 00:41:55.785373', '2026-06-24 01:41:55.785373',
                   '2026-06-24 02:41:55.785373', '2026-06-24 03:41:55.785373',
                   '2026-06-24 04:41:55.785373', '2026-06-24 05:41:55.785373',
                   '2026-06-24 06:41:55.785373', '2026-06-24 07:41:55.785373',
                   '2026-06-24 08:41:55.785373', '2026-06-24 09:41:55.785373',
                   '2026-06-24 10:41:55.785373', '2026-06-24 11:41:55.785373',
                   '2026-06-24 12:41:55.785373', '2026-06-24 13:41:55.785373',
                   '2026-06-24 14:41:55.785373', '2026-06-24 15:41:55.785373',
                   '2026-06-24 16:41:55.785373', '2026-06-24 17:41:55.785373',
                   '2026-06-24 18:41:55.785373', '2026-06-24 19:41:55.785373',
                   '2026-06-24 20:41:55.785373', '2026-06-24 21:41:55.785373',
                   '2026-06-24 22:41:55.785373', '2026-06-24 23:41:55.785373',
                   '2026-06-25 00:41:55.785373', '2026-06-25 01:41:55.785373',
                   '2026-06-25 02:41:55.785373', '2026-06-25 03:41:55.785373',
                   '2026-06-25 04:41:55.785373', '2026-06-25 05:41:55.785373',
                   '2026-06-25 06:41:55.785373', '2026-06-25 07:41:55.785373',
                   '2026-06-25 08:41:55.785373', '2026-06-25 09:41:55.785373',
                   '2026-06-25 10:41:55.785373', '2026-06-25 11:41:55.785373',
                   '2026-06-25 12:41:55.785373', '2026-06-25 13:41:55.785373',
                   '2026-06-25 14:41:55.785373'],
                  dtype='datetime64[ns]', name='time', freq='h'))

• Attributes: (139)

  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 2026-06-23 14:41:59.858867

  date_created :

  2026-06-23T14:41:59.858888

  source :

  Output from simulation with OpenDrift

  model_url :

  https://github.com/OpenDrift/opendrift

  opendrift_class :

  PelagicEggDrift

  opendrift_module :

  opendrift.models.pelagicegg

  readers :

  odict_keys(['LazyReader: https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml', 'LazyReader: https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc', 'global_landmask'])

  time_coverage_start :

  2026-06-23 14:41:55.785373

  time_step_calculation :

  1:00:00

  time_step_output :

  1:00:00

  config_environment:constant:x_sea_water_velocity :

  None

  config_environment:fallback:x_sea_water_velocity :

  0

  config_environment:constant:y_sea_water_velocity :

  None

  config_environment:fallback:y_sea_water_velocity :

  0

  config_environment:constant:sea_surface_height :

  None

  config_environment:fallback:sea_surface_height :

  0

  config_environment:constant:sea_surface_wave_significant_height :

  None

  config_environment:fallback:sea_surface_wave_significant_height :

  0

  config_environment:constant:sea_ice_area_fraction :

  None

  config_environment:fallback:sea_ice_area_fraction :

  0

  config_environment:constant:x_wind :

  None

  config_environment:fallback:x_wind :

  0

  config_environment:constant:y_wind :

  None

  config_environment:fallback:y_wind :

  0

  config_environment:constant:land_binary_mask :

  None

  config_environment:fallback:land_binary_mask :

  None

  config_environment:constant:sea_floor_depth_below_sea_level :

  None

  config_environment:fallback:sea_floor_depth_below_sea_level :

  100

  config_environment:constant:ocean_vertical_diffusivity :

  None

  config_environment:fallback:ocean_vertical_diffusivity :

  0.02

  config_environment:constant:ocean_mixed_layer_thickness :

  None

  config_environment:fallback:ocean_mixed_layer_thickness :

  50

  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:surface_downward_x_stress :

  None

  config_environment:fallback:surface_downward_x_stress :

  0

  config_environment:constant:surface_downward_y_stress :

  None

  config_environment:fallback:surface_downward_y_stress :

  0

  config_environment:constant:turbulent_kinetic_energy :

  None

  config_environment:fallback:turbulent_kinetic_energy :

  0

  config_environment:constant:turbulent_generic_length_scale :

  None

  config_environment:fallback:turbulent_generic_length_scale :

  0

  config_environment:constant:upward_sea_water_velocity :

  None

  config_environment:fallback:upward_sea_water_velocity :

  0

  config_general:use_auto_landmask :

  True

  config_drift:current_uncertainty :

  0

  config_drift:current_uncertainty_uniform :

  0

  config_drift:max_speed :

  2.0

  config_readers:max_number_of_fails :

  1

  config_general:simulation_name :

  config_general:coastline_action :

  previous

  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

  config_drift:relative_wind :

  False

  config_drift:deactivate_north_of :

  None

  config_drift:deactivate_south_of :

  None

  config_drift:deactivate_east_of :

  None

  config_drift:deactivate_west_of :

  None

  config_seed:origin_marker :

  0

  config_seed:z :

  0

  config_seed:wind_drift_factor :

  0.02

  config_seed:current_drift_factor :

  1

  config_seed:terminal_velocity :

  0.0

  config_seed:diameter :

  0.0014

  config_seed:neutral_buoyancy_salinity :

  31.25

  config_seed:density :

  1028.0

  config_seed:hatched :

  0.0

  config_drift:vertical_advection :

  True

  config_drift:vertical_advection_at_surface :

  True

  config_drift:water_column_stretching :

  False

  config_drift:vertical_advection_correction :

  False

  config_drift:vertical_mixing :

  True

  config_drift:vertical_mixing_at_surface :

  True

  config_vertical_mixing:timestep :

  60.0

  config_vertical_mixing:diffusivitymodel :

  windspeed_Sundby1983

  config_vertical_mixing:background_diffusivity :

  1.2e-05

  config_vertical_mixing:TSprofiles :

  False

  config_drift:wind_drift_depth :

  0.1

  config_drift:stokes_drift :

  True

  config_drift:stokes_drift_profile :

  Phillips

  config_drift:use_tabularised_stokes_drift :

  False

  config_drift:tabularised_stokes_drift_fetch :

  25000

  config_general:seafloor_action :

  lift_to_seafloor

  config_drift:truncate_ocean_model_below_m :

  None

  config_seed:seafloor :

  False

  opendrift_version :

  1.14.9

  seed_geojson :

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

  simulation_time :

  2026-06-23 14:41:59.868036

  reader_x_sea_water_velocity :

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

  reader_y_sea_water_velocity :

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

  reader_sea_surface_height :

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

  reader_sea_surface_wave_significant_height :

  0

  reader_sea_ice_area_fraction :

  0

  reader_x_wind :

  ['https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc']

  reader_y_wind :

  ['https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc']

  reader_land_binary_mask :

  ['global_landmask']

  reader_sea_floor_depth_below_sea_level :

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

  reader_ocean_vertical_diffusivity :

  0.02

  reader_ocean_mixed_layer_thickness :

  50

  reader_sea_water_temperature :

  10

  reader_sea_water_salinity :

  34

  reader_surface_downward_x_stress :

  0

  reader_surface_downward_y_stress :

  0

  reader_turbulent_kinetic_energy :

  0

  reader_turbulent_generic_length_scale :

  0

  reader_upward_sea_water_velocity :

  0

  time_coverage_end :

  2026-06-25 14:41:55.785373

  time_coverage_duration :

  P2DT0H0M0S

  time_coverage_resolution :

  P0DT1H0M0S

  performance :

  -------------------- Reader performance: -------------------- global_landmask 0:00:01.5 total 0:00:00.0 preparing 0:00:01.5 reading 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml 0:00:57.1 total 0:00:00.0 preparing 0:00:56.9 reading 0:00:00.1 interpolation 0:00:00.0 interpolation_time 0:00:00.1 rotating vectors 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc 0:00:32.1 total 0:00:00.0 preparing 0:00:31.9 reading 0:00:01.1 interpolation 0:00:00.0 interpolation_time 0:00:00.1 rotating vectors 0:00:00.0 masking -------------------- Performance: 1:45.9 total time 4.0 configuration 0.0 preparing main loop 0.0 moving elements to ocean 1:41.7 main loop 3.9 updating elements 3.9 vertical mixing 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  67.560074

  geospatial_lat_max :

  68.282684

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  12.35679

  geospatial_lon_max :

  14.154354

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:01:45.907403

  geospatial_vertical_min :

  -51.50273

  geospatial_vertical_max :

  0.0

  geospatial_vertical_positive :

  up

Print and plot results. At the end the wind vanishes, and eggs come to surface

print(o)

o.plot(fast=True)
o.animation(fast=True, color='z')

===========================
--------------------
Reader performance:
--------------------
global_landmask
 0:00:01.5  total
 0:00:00.0  preparing
 0:00:01.5  reading
 0:00:00.0  masking
--------------------
https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
 0:00:57.1  total
 0:00:00.0  preparing
 0:00:56.9  reading
 0:00:00.1  interpolation
 0:00:00.0  interpolation_time
 0:00:00.1  rotating vectors
 0:00:00.0  masking
--------------------
https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc
 0:00:32.1  total
 0:00:00.0  preparing
 0:00:31.9  reading
 0:00:01.1  interpolation
 0:00:00.0  interpolation_time
 0:00:00.1  rotating vectors
 0:00:00.0  masking
--------------------
Performance:
 1:45.9 total time
    4.0 configuration
    0.0 preparing main loop
      0.0 moving elements to ocean
 1:41.7 main loop
      3.9 updating elements
        3.9 vertical mixing
    0.0 cleaning up
--------------------
===========================
Model:  PelagicEggDrift     (OpenDrift version 1.14.9)
        2000 active PelagicEgg particles  (0 deactivated, 0 scheduled)
-------------------
Environment variables:
  -----
  land_binary_mask
     1) global_landmask
  -----
  sea_floor_depth_below_sea_level
  sea_surface_height
  x_sea_water_velocity
  y_sea_water_velocity
     1) https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
  -----
  x_wind
  y_wind
     1) https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc
  -----
Readers not added for the following variables:
  ocean_mixed_layer_thickness
  ocean_vertical_diffusivity
  sea_ice_area_fraction
  sea_surface_wave_significant_height
  sea_water_salinity
  sea_water_temperature
  surface_downward_x_stress
  surface_downward_y_stress
  turbulent_generic_length_scale
  turbulent_kinetic_energy
  upward_sea_water_velocity

Discarded readers:

Time:
        Start: 2026-06-23 14:41:55.785373 UTC
        Present: 2026-06-25 14:41:55.785373 UTC
        Calculation steps: 48 * 1:00:00 - total time: 2 days, 0:00:00
        Output steps: 49 * 1:00:00
===========================

14:43:41 WARNING opendrift:2574: Plotting fast. This will make your plots less accurate.
14:43:51 WARNING opendrift:2574: Plotting fast. This will make your plots less accurate.
14:43:53 INFO    opendrift:4777: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_0.gif...
14:44:37 INFO    opendrift:3199: Time to make animation: 0:00:45.576981

o.animate_vertical_distribution()

14:44:39 INFO    opendrift:4777: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_1.gif...
14:44:56 INFO    opendrift.models.oceandrift:644: Time to make animation: 0:00:16.872637