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'])

13:26:28 INFO    opendrift:576: OpenDriftSimulation initialised (version 1.14.8 / v1.14.8-4-g48afd36)

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)

13:26:28 INFO    opendrift.models.basemodel.environment:203: Adding a global landmask from GSHHG
13:26:33 INFO    opendrift.models.basemodel.environment:227: Fallback values will be used for the following variables which have no readers:
13:26:33 INFO    opendrift.models.basemodel.environment:230:    x_sea_water_velocity: 0.000000
13:26:33 INFO    opendrift.models.basemodel.environment:230:    y_sea_water_velocity: 0.000000
13:26:33 INFO    opendrift.models.basemodel.environment:230:    sea_surface_height: 0.000000
13:26:33 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_significant_height: 0.000000
13:26:33 INFO    opendrift.models.basemodel.environment:230:    sea_ice_area_fraction: 0.000000
13:26:33 INFO    opendrift.models.basemodel.environment:230:    x_wind: 0.000000
13:26:33 INFO    opendrift.models.basemodel.environment:230:    y_wind: 0.000000
13:26:33 INFO    opendrift.models.basemodel.environment:230:    sea_floor_depth_below_sea_level: 100.000000
13:26:33 INFO    opendrift.models.basemodel.environment:230:    ocean_vertical_diffusivity: 0.020000
13:26:33 INFO    opendrift.models.basemodel.environment:230:    ocean_mixed_layer_thickness: 50.000000
13:26:33 INFO    opendrift.models.basemodel.environment:230:    sea_water_temperature: 10.000000
13:26:33 INFO    opendrift.models.basemodel.environment:230:    sea_water_salinity: 34.000000
13:26:33 INFO    opendrift.models.basemodel.environment:230:    surface_downward_x_stress: 0.000000
13:26:33 INFO    opendrift.models.basemodel.environment:230:    surface_downward_y_stress: 0.000000
13:26:33 INFO    opendrift.models.basemodel.environment:230:    turbulent_kinetic_energy: 0.000000
13:26:33 INFO    opendrift.models.basemodel.environment:230:    turbulent_generic_length_scale: 0.000000
13:26:33 INFO    opendrift.models.basemodel.environment:230:    upward_sea_water_velocity: 0.000000

Running model

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

13:26:33 INFO    opendrift:1821: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
13:26:33 INFO    opendrift:1821: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
13:26:33 INFO    opendrift:952: Using existing reader for land_binary_mask to move elements to ocean
13:26:33 INFO    opendrift:982: All points are in ocean
13:26:33 INFO    opendrift:2118: 2026-01-28 13:26:28.936649 - step 1 of 48 - 2000 active elements (0 deactivated)
13:26:33 INFO    opendrift.readers:63: Opening file with xr.open_dataset
13:26:35 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'x': 'x', 'y': 'y', 'time': 'time'}
13:26:35 INFO    opendrift.readers:63: Opening file with xr.open_dataset
13:26:36 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'time': 'time', 'x': 'x', 'y': 'y'}
13:26:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:26:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:26:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:26:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:26:39 INFO    opendrift:2118: 2026-01-28 14:26:28.936649 - step 2 of 48 - 2000 active elements (0 deactivated)
13:26:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:26:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:26:42 INFO    opendrift:2118: 2026-01-28 15:26:28.936649 - step 3 of 48 - 2000 active elements (0 deactivated)
13:26:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:26:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:26:44 INFO    opendrift:2118: 2026-01-28 16:26:28.936649 - step 4 of 48 - 2000 active elements (0 deactivated)
13:26:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:26:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:26:47 INFO    opendrift:2118: 2026-01-28 17:26:28.936649 - step 5 of 48 - 2000 active elements (0 deactivated)
13:26:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:26:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:26:49 INFO    opendrift:2118: 2026-01-28 18:26:28.936649 - step 6 of 48 - 2000 active elements (0 deactivated)
13:26:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:26:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:26:51 INFO    opendrift:2118: 2026-01-28 19:26:28.936649 - step 7 of 48 - 2000 active elements (0 deactivated)
13:26:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:26:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:26:54 INFO    opendrift:2118: 2026-01-28 20:26:28.936649 - step 8 of 48 - 2000 active elements (0 deactivated)
13:26:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:26:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:26:57 INFO    opendrift:2118: 2026-01-28 21:26:28.936649 - step 9 of 48 - 2000 active elements (0 deactivated)
13:27:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:01 INFO    opendrift:2118: 2026-01-28 22:26:28.936649 - step 10 of 48 - 2000 active elements (0 deactivated)
13:27:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:04 INFO    opendrift:2118: 2026-01-28 23:26:28.936649 - step 11 of 48 - 2000 active elements (0 deactivated)
13:27:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:07 INFO    opendrift:2118: 2026-01-29 00:26:28.936649 - step 12 of 48 - 2000 active elements (0 deactivated)
13:27:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:11 INFO    opendrift:2118: 2026-01-29 01:26:28.936649 - step 13 of 48 - 2000 active elements (0 deactivated)
13:27:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:14 INFO    opendrift:2118: 2026-01-29 02:26:28.936649 - step 14 of 48 - 2000 active elements (0 deactivated)
13:27:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:16 INFO    opendrift:2118: 2026-01-29 03:26:28.936649 - step 15 of 48 - 2000 active elements (0 deactivated)
13:27:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:19 INFO    opendrift:2118: 2026-01-29 04:26:28.936649 - step 16 of 48 - 2000 active elements (0 deactivated)
13:27:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:21 INFO    opendrift:2118: 2026-01-29 05:26:28.936649 - step 17 of 48 - 2000 active elements (0 deactivated)
13:27:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:24 INFO    opendrift:2118: 2026-01-29 06:26:28.936649 - step 18 of 48 - 2000 active elements (0 deactivated)
13:27:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:26 INFO    opendrift:2118: 2026-01-29 07:26:28.936649 - step 19 of 48 - 2000 active elements (0 deactivated)
13:27:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:29 INFO    opendrift:2118: 2026-01-29 08:26:28.936649 - step 20 of 48 - 2000 active elements (0 deactivated)
13:27:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:31 INFO    opendrift:2118: 2026-01-29 09:26:28.936649 - step 21 of 48 - 2000 active elements (0 deactivated)
13:27:33 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:33 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:34 INFO    opendrift:2118: 2026-01-29 10:26:28.936649 - step 22 of 48 - 2000 active elements (0 deactivated)
13:27:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:36 INFO    opendrift:2118: 2026-01-29 11:26:28.936649 - step 23 of 48 - 2000 active elements (0 deactivated)
13:27:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:39 INFO    opendrift:2118: 2026-01-29 12:26:28.936649 - step 24 of 48 - 2000 active elements (0 deactivated)
13:27:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:41 INFO    opendrift:2118: 2026-01-29 13:26:28.936649 - step 25 of 48 - 2000 active elements (0 deactivated)
13:27:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:43 INFO    opendrift:2118: 2026-01-29 14:26:28.936649 - step 26 of 48 - 2000 active elements (0 deactivated)
13:27:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:45 INFO    opendrift:2118: 2026-01-29 15:26:28.936649 - step 27 of 48 - 2000 active elements (0 deactivated)
13:27:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:48 INFO    opendrift:2118: 2026-01-29 16:26:28.936649 - step 28 of 48 - 2000 active elements (0 deactivated)
13:27:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:50 INFO    opendrift:2118: 2026-01-29 17:26:28.936649 - step 29 of 48 - 2000 active elements (0 deactivated)
13:27:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:52 INFO    opendrift:2118: 2026-01-29 18:26:28.936649 - step 30 of 48 - 2000 active elements (0 deactivated)
13:27:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:54 INFO    opendrift:2118: 2026-01-29 19:26:28.936649 - step 31 of 48 - 2000 active elements (0 deactivated)
13:27:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:56 INFO    opendrift:2118: 2026-01-29 20:26:28.936649 - step 32 of 48 - 2000 active elements (0 deactivated)
13:27:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:27:58 INFO    opendrift:2118: 2026-01-29 21:26:28.936649 - step 33 of 48 - 2000 active elements (0 deactivated)
13:28:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:28:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:28:00 INFO    opendrift:2118: 2026-01-29 22:26:28.936649 - step 34 of 48 - 2000 active elements (0 deactivated)
13:28:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:28:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:28:03 INFO    opendrift:2118: 2026-01-29 23:26:28.936649 - step 35 of 48 - 2000 active elements (0 deactivated)
13:28:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:28:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:28:05 INFO    opendrift:2118: 2026-01-30 00:26:28.936649 - step 36 of 48 - 2000 active elements (0 deactivated)
13:28:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:28:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:28:07 INFO    opendrift:2118: 2026-01-30 01:26:28.936649 - step 37 of 48 - 2000 active elements (0 deactivated)
13:28:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:28:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:28:09 INFO    opendrift:2118: 2026-01-30 02:26:28.936649 - step 38 of 48 - 2000 active elements (0 deactivated)
13:28:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:28:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:28:11 INFO    opendrift:2118: 2026-01-30 03:26:28.936649 - step 39 of 48 - 2000 active elements (0 deactivated)
13:28:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:28:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:28:14 INFO    opendrift:2118: 2026-01-30 04:26:28.936649 - step 40 of 48 - 2000 active elements (0 deactivated)
13:28:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:28:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:28:15 INFO    opendrift:2118: 2026-01-30 05:26:28.936649 - step 41 of 48 - 2000 active elements (0 deactivated)
13:28:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:28:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:28:18 INFO    opendrift:2118: 2026-01-30 06:26:28.936649 - step 42 of 48 - 2000 active elements (0 deactivated)
13:28:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:28:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:28:20 INFO    opendrift:2118: 2026-01-30 07:26:28.936649 - step 43 of 48 - 2000 active elements (0 deactivated)
13:28:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:28:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:28:22 INFO    opendrift:2118: 2026-01-30 08:26:28.936649 - step 44 of 48 - 2000 active elements (0 deactivated)
13:28:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:28:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:28:24 INFO    opendrift:2118: 2026-01-30 09:26:28.936649 - step 45 of 48 - 2000 active elements (0 deactivated)
13:28:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:28:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:28:26 INFO    opendrift:2118: 2026-01-30 10:26:28.936649 - step 46 of 48 - 2000 active elements (0 deactivated)
13:28:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:28:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:28:28 INFO    opendrift:2118: 2026-01-30 11:26:28.936649 - step 47 of 48 - 2000 active elements (0 deactivated)
13:28:30 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:28:30 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:28:30 INFO    opendrift:2118: 2026-01-30 12:26:28.936649 - step 48 of 48 - 2000 active elements (0 deactivated)
13:28:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
13:28:32 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 2026-01-2...
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: (12/140)
    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:                                                          0:02:04...
    geospatial_vertical_min:                                          -51.56623
    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]
    2026-01-28T13:26:28.936649 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2026-01-28T13:26:28.936649000', '2026-01-28T14:26:28.936649000',
           '2026-01-28T15:26:28.936649000', '2026-01-28T16:26:28.936649000',
           '2026-01-28T17:26:28.936649000', '2026-01-28T18:26:28.936649000',
           '2026-01-28T19:26:28.936649000', '2026-01-28T20:26:28.936649000',
           '2026-01-28T21:26:28.936649000', '2026-01-28T22:26:28.936649000',
           '2026-01-28T23:26:28.936649000', '2026-01-29T00:26:28.936649000',
           '2026-01-29T01:26:28.936649000', '2026-01-29T02:26:28.936649000',
           '2026-01-29T03:26:28.936649000', '2026-01-29T04:26:28.936649000',
           '2026-01-29T05:26:28.936649000', '2026-01-29T06:26:28.936649000',
           '2026-01-29T07:26:28.936649000', '2026-01-29T08:26:28.936649000',
           '2026-01-29T09:26:28.936649000', '2026-01-29T10:26:28.936649000',
           '2026-01-29T11:26:28.936649000', '2026-01-29T12:26:28.936649000',
           '2026-01-29T13:26:28.936649000', '2026-01-29T14:26:28.936649000',
           '2026-01-29T15:26:28.936649000', '2026-01-29T16:26:28.936649000',
           '2026-01-29T17:26:28.936649000', '2026-01-29T18:26:28.936649000',
           '2026-01-29T19:26:28.936649000', '2026-01-29T20:26:28.936649000',
           '2026-01-29T21:26:28.936649000', '2026-01-29T22:26:28.936649000',
           '2026-01-29T23:26:28.936649000', '2026-01-30T00:26:28.936649000',
           '2026-01-30T01:26:28.936649000', '2026-01-30T02:26:28.936649000',
           '2026-01-30T03:26:28.936649000', '2026-01-30T04:26:28.936649000',
           '2026-01-30T05:26:28.936649000', '2026-01-30T06:26:28.936649000',
           '2026-01-30T07:26:28.936649000', '2026-01-30T08:26:28.936649000',
           '2026-01-30T09:26:28.936649000', '2026-01-30T10:26:28.936649000',
           '2026-01-30T11:26:28.936649000', '2026-01-30T12:26:28.936649000',
           '2026-01-30T13:26:28.936649000'], 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 14.08 14.09 ... 12.77 12.73

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    12.35679

    maxval :

    14.129527

    array([[14.084752 , 14.084786 , 14.085078 , ..., 13.9394245, 13.936034 ,
            13.933365 ],
           [14.019218 , 14.019507 , 14.020135 , ..., 13.890147 , 13.887009 ,
            13.88465  ],
           [14.047049 , 14.04804  , 14.049252 , ..., 13.962189 , 13.960686 ,
            13.959727 ],
           ...,
           [13.055853 , 13.061697 , 13.068504 , ..., 12.897821 , 12.883215 ,
            12.841012 ],
           [13.005157 , 13.017868 , 13.031643 , ..., 12.90433  , 12.90433  ,
            12.90433  ],
           [13.002091 , 13.00938  , 13.017522 , ..., 12.813979 , 12.768334 ,
            12.728302 ]], shape=(2000, 49), dtype=float32)

  • lat
    (trajectory, time)
    float32
    68.11 68.11 68.11 ... 67.83 67.85

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    67.728226

    maxval :

    68.302086

    array([[68.10684 , 68.10598 , 68.10537 , ..., 68.12722 , 68.12842 ,
            68.129395],
           [68.09939 , 68.09919 , 68.0992  , ..., 68.12949 , 68.13052 ,
            68.131454],
           [68.11965 , 68.11925 , 68.119064, ..., 68.145195, 68.14662 ,
            68.14771 ],
           ...,
           [67.79944 , 67.79869 , 67.79758 , ..., 67.83853 , 67.83853 ,
            67.84847 ],
           [67.82828 , 67.82851 , 67.827705, ..., 67.84719 , 67.84719 ,
            67.84719 ],
           [67.78542 , 67.7846  , 67.783035, ..., 67.82248 , 67.83409 ,
            67.8493  ]], shape=(2000, 49), dtype=float32)

  • z
    (trajectory, time)
    float32
    -40.0 -45.49 ... -23.69 -26.44

    dtype :

    <class 'numpy.float32'>

    units :

    m

    standard_name :

    z

    long_name :

    vertical position

    axis :

    Z

    positive :

    up

    minval :

    -51.56623

    maxval :

    0.0

    array([[-40.        , -45.491497  , -45.519653  , ...,  -4.15721   ,
             -1.6123515 ,  -0.99313456],
           [-40.        , -42.697296  , -41.93664   , ..., -10.210379  ,
             -9.693067  , -34.390137  ],
           [-40.        , -29.37528   , -16.107956  , ..., -15.157738  ,
             -6.920329  , -16.64119   ],
           ...,
           [-40.        , -38.00828   , -35.306522  , ..., -24.933472  ,
            -23.456675  , -23.116322  ],
           [-40.        , -29.007557  , -13.569138  , ...,  -6.97855   ,
             -2.205631  ,  -5.0574827 ],
           [-40.        , -40.41655   , -28.22445   , ..., -23.880655  ,
            -23.685925  , -26.440105  ]], 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
    0.0003975 0.003378 ... -0.4681

    minval :

    -0.6088502

    maxval :

    0.34320527

    array([[ 3.9751478e-04,  3.3784804e-03, -4.9933011e-04, ...,
            -3.9169192e-02, -3.0833049e-02, -3.0833049e-02],
           [ 3.3375151e-03,  7.2691236e-03,  4.0700720e-03, ...,
            -3.6253598e-02, -2.7248422e-02, -2.7248422e-02],
           [ 1.1467626e-02,  1.3990989e-02,  1.0391166e-02, ...,
            -1.7352976e-02, -1.1056800e-02, -1.1056800e-02],
           ...,
           [ 6.8484798e-02,  7.9766631e-02,  6.4842105e-02, ...,
            -4.8802015e-01, -4.9348274e-01, -4.9348274e-01],
           [ 1.4875646e-01,  1.6120589e-01,  1.2736323e-01, ...,
            -5.6012112e-01, -5.0556588e-01, -5.0556588e-01],
           [ 8.5465096e-02,  9.5467463e-02,  7.4947983e-02, ...,
            -5.3405315e-01, -4.6808746e-01, -4.6808746e-01]],
          shape=(2000, 49), dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    -0.02669 -0.01885 ... 0.4713 0.4713

    minval :

    -0.25285453

    maxval :

    0.5552999

    array([[-2.6692513e-02, -1.8849000e-02, -1.0820438e-02, ...,
             3.7082188e-02,  3.0380251e-02,  3.0380251e-02],
           [-6.1446186e-03,  1.5258438e-04,  5.6519276e-03, ...,
             3.1907041e-02,  2.8705647e-02,  2.8705647e-02],
           [-1.2448128e-02, -5.6394460e-03,  1.8684421e-03, ...,
             4.4248387e-02,  3.3692356e-02,  3.3692356e-02],
           ...,
           [-2.3094477e-02, -3.4507051e-02, -3.5159763e-02, ...,
             2.3662302e-01,  3.0813512e-01,  3.0813512e-01],
           [ 7.0782118e-03, -2.4868088e-02, -3.8121466e-02, ...,
             2.0481580e-01,  3.0763987e-01,  3.0763987e-01],
           [-2.5518240e-02, -4.8517503e-02, -5.5314310e-02, ...,
             3.5991883e-01,  4.7134948e-01,  4.7134948e-01]],
          shape=(2000, 49), dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    -1.326 -1.153 ... -0.7644 -0.7644

    minval :

    -1.551377

    maxval :

    0.08358999

    array([[-1.3257152 , -1.1530569 , -0.9168005 , ..., -0.33364314,
            -0.7709116 , -0.7709116 ],
           [-1.3249325 , -1.1529691 , -0.91729283, ..., -0.33335727,
            -0.77004147, -0.77004147],
           [-1.3255316 , -1.153364  , -0.91743344, ..., -0.3326252 ,
            -0.7706324 , -0.7706324 ],
           ...,
           [-1.2895645 , -1.1382676 , -0.918455  , ..., -0.37120348,
            -0.75484157, -0.75484157],
           [-1.2906889 , -1.143114  , -0.92405295, ..., -0.36715525,
            -0.7521959 , -0.7521959 ],
           [-1.286248  , -1.1362677 , -0.91743994, ..., -0.39053923,
            -0.7644251 , -0.7644251 ]], shape=(2000, 49), dtype=float32)

  • sea_surface_wave_significant_height
    (trajectory, time)
    float32
    0.4458 0.1942 ... 0.9702 0.9702

    minval :

    2.6467078e-05

    maxval :

    4.198086

    array([[0.44578144, 0.1941882 , 0.03407161, ..., 2.5380595 , 2.740312  ,
            2.740312  ],
           [0.17892075, 0.67341334, 0.8970281 , ..., 1.5546734 , 1.6083568 ,
            1.6083568 ],
           [0.21159875, 0.11465504, 0.07748518, ..., 3.1498842 , 3.1752741 ,
            3.1752741 ],
           ...,
           [1.4168134 , 0.9562804 , 0.48516813, ..., 0.35836038, 0.28497496,
            0.28497496],
           [0.957516  , 1.0473723 , 0.638153  , ..., 0.6006048 , 0.64603347,
            0.64603347],
           [0.4695796 , 0.10750464, 0.01436915, ..., 1.0889673 , 0.970199  ,
            0.970199  ]], 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
    -2.036 -1.193 ... -5.199 -5.199

    minval :

    -11.832976

    maxval :

    8.639181

    array([[-2.0357854 , -1.1930268 ,  0.37081543, ..., -6.2735124 ,
            -5.623749  , -5.623749  ],
           [ 2.6555495 , -0.84372234, -4.8848305 , ..., -5.369122  ,
            -5.4124503 , -5.4124503 ],
           [-2.0726752 , -0.5977416 ,  1.3414395 , ..., -6.6818233 ,
            -6.307701  , -6.307701  ],
           ...,
           [-4.564025  , -4.166158  , -2.7236216 , ..., -2.1019564 ,
            -0.74624115, -0.74624115],
           [-3.323929  , -3.7036924 , -2.1871698 , ..., -3.3942683 ,
            -3.8610904 , -3.8610904 ],
           [-2.8261888 , -1.1604698 ,  0.33152345, ..., -5.4613237 ,
            -5.1991262 , -5.1991262 ]], shape=(2000, 49), dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    -3.739 -2.544 ... 3.523 3.523

    minval :

    -11.46676

    maxval :

    11.026872

    array([[-3.7385523 , -2.5437212 , -1.1169248 , ...,  7.9885035 ,
             8.931308  ,  8.931308  ],
           [-0.47038004, -5.1635895 , -3.550069  , ...,  5.8626475 ,
             6.0071416 ,  6.0071416 ],
           [-2.0749924 , -2.074483  , -1.1620432 , ...,  9.132214  ,
             9.44929   ,  9.44929   ],
           ...,
           [-6.0633087 , -4.638568  , -3.5077298 , ...,  3.1857927 ,
             3.3207638 ,  3.3207638 ],
           [-5.27967   , -5.3720365 , -4.599725  , ...,  3.59079   ,
             3.3694966 ,  3.3694966 ],
           [-3.3318553 , -1.7387977 , -0.68862474, ...,  3.8001192 ,
             3.522509  ,  3.522509  ]], 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 91.98 92.24 ... 53.68 53.68

    minval :

    41.02157

    maxval :

    215.26088

    array([[ 91.5983  ,  91.97862 ,  92.24306 , ...,  74.295876,  72.55778 ,
             72.55778 ],
           [ 94.49078 ,  94.55173 ,  94.61164 , ...,  60.171803,  58.533   ,
             58.533   ],
           [ 86.55411 ,  86.731125,  86.796425, ...,  65.83427 ,  64.41415 ,
             64.41415 ],
           ...,
           [131.81073 , 134.16263 , 136.33517 , ...,  63.107044,  53.098106,
             53.098106],
           [ 97.5854  , 101.56077 , 106.136536, ...,  59.22426 ,  52.136803,
             52.136803],
           [122.13025 , 124.99094 , 128.39914 , ...,  53.172314,  53.6811  ,
             53.6811  ]], 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(['2026-01-28 13:26:28.936649', '2026-01-28 14:26:28.936649',
                   '2026-01-28 15:26:28.936649', '2026-01-28 16:26:28.936649',
                   '2026-01-28 17:26:28.936649', '2026-01-28 18:26:28.936649',
                   '2026-01-28 19:26:28.936649', '2026-01-28 20:26:28.936649',
                   '2026-01-28 21:26:28.936649', '2026-01-28 22:26:28.936649',
                   '2026-01-28 23:26:28.936649', '2026-01-29 00:26:28.936649',
                   '2026-01-29 01:26:28.936649', '2026-01-29 02:26:28.936649',
                   '2026-01-29 03:26:28.936649', '2026-01-29 04:26:28.936649',
                   '2026-01-29 05:26:28.936649', '2026-01-29 06:26:28.936649',
                   '2026-01-29 07:26:28.936649', '2026-01-29 08:26:28.936649',
                   '2026-01-29 09:26:28.936649', '2026-01-29 10:26:28.936649',
                   '2026-01-29 11:26:28.936649', '2026-01-29 12:26:28.936649',
                   '2026-01-29 13:26:28.936649', '2026-01-29 14:26:28.936649',
                   '2026-01-29 15:26:28.936649', '2026-01-29 16:26:28.936649',
                   '2026-01-29 17:26:28.936649', '2026-01-29 18:26:28.936649',
                   '2026-01-29 19:26:28.936649', '2026-01-29 20:26:28.936649',
                   '2026-01-29 21:26:28.936649', '2026-01-29 22:26:28.936649',
                   '2026-01-29 23:26:28.936649', '2026-01-30 00:26:28.936649',
                   '2026-01-30 01:26:28.936649', '2026-01-30 02:26:28.936649',
                   '2026-01-30 03:26:28.936649', '2026-01-30 04:26:28.936649',
                   '2026-01-30 05:26:28.936649', '2026-01-30 06:26:28.936649',
                   '2026-01-30 07:26:28.936649', '2026-01-30 08:26:28.936649',
                   '2026-01-30 09:26:28.936649', '2026-01-30 10:26:28.936649',
                   '2026-01-30 11:26:28.936649', '2026-01-30 12:26:28.936649',
                   '2026-01-30 13:26:28.936649'],
                  dtype='datetime64[ns]', name='time', freq='h'))

• Attributes: (140)

  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 2026-01-28 13:26:33.379556

  date_created :

  2026-01-28T13:26:33.379577

  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 :

  2026-01-28 13:26:28.936649

  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:horizontal_diffusivity :

  0

  config_drift:profiles_depth :

  50

  config_drift:wind_uncertainty :

  0

  config_drift:relative_wind :

  False

  config_drift:deactivate_north_of :

  None

  config_drift:deactivate_south_of :

  None

  config_drift:deactivate_east_of :

  None

  config_drift:deactivate_west_of :

  None

  config_seed:origin_marker :

  0

  config_seed:z :

  0

  config_seed:wind_drift_factor :

  0.02

  config_seed:current_drift_factor :

  1

  config_seed:terminal_velocity :

  0.0

  config_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 :

  1.14.8

  seed_geojson :

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

  simulation_time :

  2026-01-28 13:26:33.388474

  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 :

  2026-01-30 13:26:28.936649

  time_coverage_duration :

  P2DT0H0M0S

  time_coverage_resolution :

  P0DT1H0M0S

  performance :

  -------------------- Reader performance: -------------------- global_landmask 0:00:01.6 total 0:00:00.0 preparing 0:00:01.6 reading 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml 0:00:56.5 total 0:00:00.0 preparing 0:00:56.3 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 0:00:50.2 total 0:00:00.0 preparing 0:00:50.1 reading 0:00:01.1 interpolation 0:00:00.0 interpolation_time 0:00:00.1 rotating vectors 0:00:00.0 masking -------------------- Performance: 2:04.5 total time 4.4 configuration 0.0 preparing main loop 0.0 moving elements to ocean 1:59.7 main loop 3.5 updating elements 3.4 vertical mixing 0.3 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  67.728226

  geospatial_lat_max :

  68.302086

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  12.35679

  geospatial_lon_max :

  14.129527

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:02:04.574788

  geospatial_vertical_min :

  -51.56623

  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
 0:00:01.6  total
 0:00:00.0  preparing
 0:00:01.6  reading
 0:00:00.0  masking
--------------------
https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
 0:00:56.5  total
 0:00:00.0  preparing
 0:00:56.3  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
 0:00:50.2  total
 0:00:00.0  preparing
 0:00:50.1  reading
 0:00:01.1  interpolation
 0:00:00.0  interpolation_time
 0:00:00.1  rotating vectors
 0:00:00.0  masking
--------------------
Performance:
 2:04.5 total time
    4.4 configuration
    0.0 preparing main loop
      0.0 moving elements to ocean
 1:59.7 main loop
      3.5 updating elements
        3.4 vertical mixing
    0.3 cleaning up
--------------------
===========================
Model:  PelagicEggDrift     (OpenDrift version 1.14.8)
        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: 2026-01-28 13:26:28.936649 UTC
        Present: 2026-01-30 13:26:28.936649 UTC
        Calculation steps: 48 * 1:00:00 - total time: 2 days, 0:00:00
        Output steps: 49 * 1:00:00
===========================

13:28:33 WARNING opendrift:2480: Plotting fast. This will make your plots less accurate.
13:28:39 WARNING opendrift:2480: Plotting fast. This will make your plots less accurate.
13:28:40 INFO    opendrift:4675: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_0.gif...
13:29:21 INFO    opendrift:3101: Time to make animation: 0:00:41.602629

o.animate_vertical_distribution()

13:29:23 INFO    opendrift:4675: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_1.gif...
13:29:35 INFO    opendrift.models.oceandrift:643: Time to make animation: 0:00:12.684618