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'])

15:42:13 INFO    opendrift:569: OpenDriftSimulation initialised (version 1.14.11 / v1.14.12-32-g22db1c0)

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)

15:42:13 INFO    opendrift.models.basemodel.environment:203: Adding a global landmask from GSHHG
15:42:18 INFO    opendrift.models.basemodel.environment:227: Fallback values will be used for the following variables which have no readers:
15:42:18 INFO    opendrift.models.basemodel.environment:230:    x_sea_water_velocity: 0.000000
15:42:18 INFO    opendrift.models.basemodel.environment:230:    y_sea_water_velocity: 0.000000
15:42:18 INFO    opendrift.models.basemodel.environment:230:    sea_surface_height: 0.000000
15:42:18 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_significant_height: 0.000000
15:42:18 INFO    opendrift.models.basemodel.environment:230:    sea_ice_area_fraction: 0.000000
15:42:18 INFO    opendrift.models.basemodel.environment:230:    x_wind: 0.000000
15:42:18 INFO    opendrift.models.basemodel.environment:230:    y_wind: 0.000000
15:42:18 INFO    opendrift.models.basemodel.environment:230:    sea_floor_depth_below_sea_level: 100.000000
15:42:18 INFO    opendrift.models.basemodel.environment:230:    ocean_vertical_diffusivity: 0.020000
15:42:18 INFO    opendrift.models.basemodel.environment:230:    ocean_mixed_layer_thickness: 50.000000
15:42:18 INFO    opendrift.models.basemodel.environment:230:    sea_water_temperature: 10.000000
15:42:18 INFO    opendrift.models.basemodel.environment:230:    sea_water_salinity: 34.000000
15:42:18 INFO    opendrift.models.basemodel.environment:230:    surface_downward_x_stress: 0.000000
15:42:18 INFO    opendrift.models.basemodel.environment:230:    surface_downward_y_stress: 0.000000
15:42:18 INFO    opendrift.models.basemodel.environment:230:    turbulent_kinetic_energy: 0.000000
15:42:18 INFO    opendrift.models.basemodel.environment:230:    turbulent_generic_length_scale: 0.000000
15:42:18 INFO    opendrift.models.basemodel.environment:230:    upward_sea_water_velocity: 0.000000

Running model

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

15:42:18 INFO    opendrift:1921: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
15:42:18 INFO    opendrift:1921: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
15:42:18 INFO    opendrift:958: Using existing reader for land_binary_mask to move elements to ocean
15:42:18 INFO    opendrift:989: All points are in ocean
15:42:18 INFO    opendrift:2237: 2026-10-05 15:42:13.046020 - step 1 of 48 - 2000 active elements (0 deactivated)
15:42:18 INFO    opendrift.readers:67: Opening file with xr.open_dataset
15:42:21 INFO    opendrift.readers.reader_netCDF_CF_generic:340: Detected dimensions: {'x': 'x', 'y': 'y', 'time': 'time'}
15:42:21 INFO    opendrift.readers:67: Opening file with xr.open_dataset
15:42:22 INFO    opendrift.readers.reader_netCDF_CF_generic:340: Detected dimensions: {'time': 'time', 'x': 'x', 'y': 'y'}
15:42:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:24 INFO    opendrift:2237: 2026-10-05 16:42:13.046020 - step 2 of 48 - 2000 active elements (0 deactivated)
15:42:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:25 INFO    opendrift:2237: 2026-10-05 17:42:13.046020 - step 3 of 48 - 2000 active elements (0 deactivated)
15:42:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:27 INFO    opendrift:2237: 2026-10-05 18:42:13.046020 - step 4 of 48 - 2000 active elements (0 deactivated)
15:42:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:29 INFO    opendrift:2237: 2026-10-05 19:42:13.046020 - step 5 of 48 - 2000 active elements (0 deactivated)
15:42:30 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:30 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:31 INFO    opendrift:2237: 2026-10-05 20:42:13.046020 - step 6 of 48 - 2000 active elements (0 deactivated)
15:42:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:32 INFO    opendrift:2237: 2026-10-05 21:42:13.046020 - step 7 of 48 - 2000 active elements (0 deactivated)
15:42:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:34 INFO    opendrift:2237: 2026-10-05 22:42:13.046020 - step 8 of 48 - 2000 active elements (0 deactivated)
15:42:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:36 INFO    opendrift:2237: 2026-10-05 23:42:13.046020 - step 9 of 48 - 2000 active elements (0 deactivated)
15:42:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:38 INFO    opendrift:2237: 2026-10-06 00:42:13.046020 - step 10 of 48 - 2000 active elements (0 deactivated)
15:42:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:39 INFO    opendrift:2237: 2026-10-06 01:42:13.046020 - step 11 of 48 - 2000 active elements (0 deactivated)
15:42:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:41 INFO    opendrift:2237: 2026-10-06 02:42:13.046020 - step 12 of 48 - 2000 active elements (0 deactivated)
15:42:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:43 INFO    opendrift:2237: 2026-10-06 03:42:13.046020 - step 13 of 48 - 2000 active elements (0 deactivated)
15:42:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:45 INFO    opendrift:2237: 2026-10-06 04:42:13.046020 - step 14 of 48 - 2000 active elements (0 deactivated)
15:42:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:47 INFO    opendrift:2237: 2026-10-06 05:42:13.046020 - step 15 of 48 - 2000 active elements (0 deactivated)
15:42:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:49 INFO    opendrift:2237: 2026-10-06 06:42:13.046020 - step 16 of 48 - 2000 active elements (0 deactivated)
15:42:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:51 INFO    opendrift:2237: 2026-10-06 07:42:13.046020 - step 17 of 48 - 2000 active elements (0 deactivated)
15:42:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:52 INFO    opendrift:2237: 2026-10-06 08:42:13.046020 - step 18 of 48 - 2000 active elements (0 deactivated)
15:42:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:54 INFO    opendrift:2237: 2026-10-06 09:42:13.046020 - step 19 of 48 - 2000 active elements (0 deactivated)
15:42:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:56 INFO    opendrift:2237: 2026-10-06 10:42:13.046020 - step 20 of 48 - 2000 active elements (0 deactivated)
15:42:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:42:59 INFO    opendrift:2237: 2026-10-06 11:42:13.046020 - step 21 of 48 - 2000 active elements (0 deactivated)
15:43:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:02 INFO    opendrift:2237: 2026-10-06 12:42:13.046020 - step 22 of 48 - 2000 active elements (0 deactivated)
15:43:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:03 INFO    opendrift:2237: 2026-10-06 13:42:13.046020 - step 23 of 48 - 2000 active elements (0 deactivated)
15:43:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:05 INFO    opendrift:2237: 2026-10-06 14:42:13.046020 - step 24 of 48 - 2000 active elements (0 deactivated)
15:43:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:07 INFO    opendrift:2237: 2026-10-06 15:42:13.046020 - step 25 of 48 - 2000 active elements (0 deactivated)
15:43:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:12 INFO    opendrift:2237: 2026-10-06 16:42:13.046020 - step 26 of 48 - 2000 active elements (0 deactivated)
15:43:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:16 INFO    opendrift:2237: 2026-10-06 17:42:13.046020 - step 27 of 48 - 2000 active elements (0 deactivated)
15:43:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:18 INFO    opendrift:2237: 2026-10-06 18:42:13.046020 - step 28 of 48 - 2000 active elements (0 deactivated)
15:43:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:20 INFO    opendrift:2237: 2026-10-06 19:42:13.046020 - step 29 of 48 - 2000 active elements (0 deactivated)
15:43:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:22 INFO    opendrift:2237: 2026-10-06 20:42:13.046020 - step 30 of 48 - 2000 active elements (0 deactivated)
15:43:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:24 INFO    opendrift:2237: 2026-10-06 21:42:13.046020 - step 31 of 48 - 2000 active elements (0 deactivated)
15:43:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:26 INFO    opendrift:2237: 2026-10-06 22:42:13.046020 - step 32 of 48 - 2000 active elements (0 deactivated)
15:43:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:28 INFO    opendrift:2237: 2026-10-06 23:42:13.046020 - step 33 of 48 - 2000 active elements (0 deactivated)
15:43:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:31 INFO    opendrift:2237: 2026-10-07 00:42:13.046020 - step 34 of 48 - 2000 active elements (0 deactivated)
15:43:33 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:33 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:33 INFO    opendrift:2237: 2026-10-07 01:42:13.046020 - step 35 of 48 - 2000 active elements (0 deactivated)
15:43:35 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:35 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:35 INFO    opendrift:2237: 2026-10-07 02:42:13.046020 - step 36 of 48 - 2000 active elements (0 deactivated)
15:43:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:37 INFO    opendrift:2237: 2026-10-07 03:42:13.046020 - step 37 of 48 - 2000 active elements (0 deactivated)
15:43:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:39 INFO    opendrift:2237: 2026-10-07 04:42:13.046020 - step 38 of 48 - 2000 active elements (0 deactivated)
15:43:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:41 INFO    opendrift:2237: 2026-10-07 05:42:13.046020 - step 39 of 48 - 2000 active elements (0 deactivated)
15:43:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:43 INFO    opendrift:2237: 2026-10-07 06:42:13.046020 - step 40 of 48 - 2000 active elements (0 deactivated)
15:43:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:46 INFO    opendrift:2237: 2026-10-07 07:42:13.046020 - step 41 of 48 - 2000 active elements (0 deactivated)
15:43:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:48 INFO    opendrift:2237: 2026-10-07 08:42:13.046020 - step 42 of 48 - 2000 active elements (0 deactivated)
15:43:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:50 INFO    opendrift:2237: 2026-10-07 09:42:13.046020 - step 43 of 48 - 2000 active elements (0 deactivated)
15:43:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:52 INFO    opendrift:2237: 2026-10-07 10:42:13.046020 - step 44 of 48 - 2000 active elements (0 deactivated)
15:43:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:54 INFO    opendrift:2237: 2026-10-07 11:42:13.046020 - step 45 of 48 - 2000 active elements (0 deactivated)
15:43:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:56 INFO    opendrift:2237: 2026-10-07 12:42:13.046020 - step 46 of 48 - 2000 active elements (0 deactivated)
15:43:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:43:58 INFO    opendrift:2237: 2026-10-07 13:42:13.046020 - step 47 of 48 - 2000 active elements (0 deactivated)
15:44:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:44:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:44:01 INFO    opendrift:2237: 2026-10-07 14:42:13.046020 - step 48 of 48 - 2000 active elements (0 deactivated)
15:44:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:44:03 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 2026-10-0...
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:                                                          0:01:50...
    geospatial_vertical_min:                                          -52.312798
    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]
    2026-10-05T15:42:13.046020 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2026-10-05T15:42:13.046020000', '2026-10-05T16:42:13.046020000',
           '2026-10-05T17:42:13.046020000', '2026-10-05T18:42:13.046020000',
           '2026-10-05T19:42:13.046020000', '2026-10-05T20:42:13.046020000',
           '2026-10-05T21:42:13.046020000', '2026-10-05T22:42:13.046020000',
           '2026-10-05T23:42:13.046020000', '2026-10-06T00:42:13.046020000',
           '2026-10-06T01:42:13.046020000', '2026-10-06T02:42:13.046020000',
           '2026-10-06T03:42:13.046020000', '2026-10-06T04:42:13.046020000',
           '2026-10-06T05:42:13.046020000', '2026-10-06T06:42:13.046020000',
           '2026-10-06T07:42:13.046020000', '2026-10-06T08:42:13.046020000',
           '2026-10-06T09:42:13.046020000', '2026-10-06T10:42:13.046020000',
           '2026-10-06T11:42:13.046020000', '2026-10-06T12:42:13.046020000',
           '2026-10-06T13:42:13.046020000', '2026-10-06T14:42:13.046020000',
           '2026-10-06T15:42:13.046020000', '2026-10-06T16:42:13.046020000',
           '2026-10-06T17:42:13.046020000', '2026-10-06T18:42:13.046020000',
           '2026-10-06T19:42:13.046020000', '2026-10-06T20:42:13.046020000',
           '2026-10-06T21:42:13.046020000', '2026-10-06T22:42:13.046020000',
           '2026-10-06T23:42:13.046020000', '2026-10-07T00:42:13.046020000',
           '2026-10-07T01:42:13.046020000', '2026-10-07T02:42:13.046020000',
           '2026-10-07T03:42:13.046020000', '2026-10-07T04:42:13.046020000',
           '2026-10-07T05:42:13.046020000', '2026-10-07T06:42:13.046020000',
           '2026-10-07T07:42:13.046020000', '2026-10-07T08:42:13.046020000',
           '2026-10-07T09:42:13.046020000', '2026-10-07T10:42:13.046020000',
           '2026-10-07T11:42:13.046020000', '2026-10-07T12:42:13.046020000',
           '2026-10-07T13:42:13.046020000', '2026-10-07T14:42:13.046020000',
           '2026-10-07T15:42:13.046020000'], 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 14.09 14.1 ... 12.67 12.66

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    12.35679

    maxval :

    14.188705

    array([[14.084752, 14.094623, 14.100918, ..., 14.032566, 14.029066,
            14.026473],
           [14.019218, 14.029382, 14.035698, ..., 13.971945, 13.967678,
            13.964396],
           [14.047049, 14.056471, 14.062227, ..., 13.987504, 13.984695,
            13.982941],
           ...,
           [13.055853, 13.069742, 13.073924, ..., 12.744079, 12.73443 ,
            12.730304],
           [13.005157, 13.019291, 13.021795, ..., 12.694153, 12.683365,
            12.678684],
           [13.002091, 13.014704, 13.015708, ..., 12.67577 , 12.665003,
            12.660313]], shape=(2000, 49), dtype=float32)

  • lat
    (trajectory, time)
    float32
    68.11 68.1 68.1 ... 67.53 67.53

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    67.45784

    maxval :

    68.30607

    array([[68.10684 , 68.10445 , 68.102   , ..., 67.98271 , 67.97944 ,
            67.97636 ],
           [68.09939 , 68.09718 , 68.094604, ..., 67.969345, 67.96617 ,
            67.96317 ],
           [68.11965 , 68.11727 , 68.114655, ..., 67.99867 , 67.99556 ,
            67.99257 ],
           ...,
           [67.79944 , 67.79428 , 67.78789 , ..., 67.54102 , 67.53867 ,
            67.53526 ],
           [67.82828 , 67.82258 , 67.816025, ..., 67.57645 , 67.5743  ,
            67.57115 ],
           [67.78542 , 67.779076, 67.77173 , ..., 67.53052 , 67.5289  ,
            67.52615 ]], shape=(2000, 49), dtype=float32)

  • z
    (trajectory, time)
    float32
    -40.0 -49.14 ... -25.85 -28.6

    dtype :

    <class 'numpy.float32'>

    units :

    m

    standard_name :

    z

    long_name :

    vertical position

    axis :

    Z

    positive :

    up

    minval :

    -52.312798

    maxval :

    0.0

    array([[-40.       , -49.135292 , -45.061676 , ...,  -2.5289373,
             -1.3683318,  -0.6003285],
           [-40.       , -45.06244  , -44.35569  , ..., -10.156215 ,
             -8.86545  , -31.059671 ],
           [-40.       , -26.250534 , -10.52956  , ...,  -9.528476 ,
             -2.397181 , -11.683352 ],
           ...,
           [-40.       , -37.16949  , -34.37014  , ..., -36.677372 ,
            -36.813103 , -38.687046 ],
           [-40.       , -30.82694  , -18.755047 , ..., -14.778768 ,
             -2.285652 ,  -6.813103 ],
           [-40.       , -36.784397 , -13.197776 , ..., -25.80429  ,
            -25.849623 , -28.604296 ]], 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
    0.1142 0.07281 ... -0.05559

    minval :

    -0.5837127

    maxval :

    0.49345353

    array([[ 0.11415362,  0.07281125,  0.03064309, ..., -0.04069715,
            -0.03014703, -0.03014703],
           [ 0.11757285,  0.07307133,  0.02696901, ..., -0.04963545,
            -0.03818002, -0.03818002],
           [ 0.10890148,  0.06654556,  0.02265648, ..., -0.03263814,
            -0.02039743, -0.02039743],
           ...,
           [ 0.16278881,  0.04902249, -0.09222922, ..., -0.11430591,
            -0.04890304, -0.04890304],
           [ 0.16544169,  0.02932927, -0.12430212, ..., -0.1276225 ,
            -0.0553765 , -0.0553765 ],
           [ 0.14791654,  0.01177344, -0.14584628, ..., -0.127628  ,
            -0.05559422, -0.05559422]], shape=(2000, 49), dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    -0.07421 -0.07599 ... -0.08498

    minval :

    -0.61310554

    maxval :

    0.50096774

    array([[-0.07421093, -0.0759906 , -0.07285291, ..., -0.1013619 ,
            -0.09549369, -0.09549369],
           [-0.06823516, -0.07989293, -0.08450708, ..., -0.09826084,
            -0.09298809, -0.09298809],
           [-0.07365807, -0.08124939, -0.07971863, ..., -0.09650278,
            -0.09262331, -0.09262331],
           ...,
           [-0.15977886, -0.1981701 , -0.20825532, ..., -0.07274969,
            -0.10552332, -0.10552332],
           [-0.17646031, -0.2030221 , -0.1966568 , ..., -0.06623053,
            -0.09766188, -0.09766188],
           [-0.19671516, -0.22751582, -0.21823119, ..., -0.05007467,
            -0.08498242, -0.08498242]], shape=(2000, 49), dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    0.4408 0.7861 ... -0.7098 -0.7098

    minval :

    -0.8791766

    maxval :

    1.1057806

    array([[ 0.44077575,  0.78607005,  1.0151658 , ..., -0.55837274,
            -0.724965  , -0.724965  ],
           [ 0.43946928,  0.7838085 ,  1.0130616 , ..., -0.55834377,
            -0.72450197, -0.72450197],
           [ 0.43829706,  0.7834669 ,  1.013068  , ..., -0.555212  ,
            -0.7226093 , -0.7226093 ],
           ...,
           [ 0.40268135,  0.7126705 ,  0.93492436, ..., -0.5828275 ,
            -0.71435374, -0.71435374],
           [ 0.3986334 ,  0.70977175,  0.93458503, ..., -0.5678765 ,
            -0.70087534, -0.70087534],
           [ 0.4031118 ,  0.70983696,  0.9299915 , ..., -0.5804837 ,
            -0.70975006, -0.70975006]], shape=(2000, 49), dtype=float32)

  • sea_surface_wave_significant_height
    (trajectory, time)
    float32
    1.581 0.4565 ... 0.9704 0.9704

    minval :

    7.974113e-05

    maxval :

    9.224592

    array([[1.5807508 , 0.45647693, 0.06669711, ..., 1.1583937 , 1.1763276 ,
            1.1763276 ],
           [0.91852474, 0.7141133 , 0.40561274, ..., 1.2731643 , 1.2119473 ,
            1.2119473 ],
           [1.6166378 , 0.7375187 , 0.40422678, ..., 1.0187371 , 1.1882107 ,
            1.1882107 ],
           ...,
           [0.26431355, 0.79149944, 0.68186635, ..., 1.8073109 , 1.6778561 ,
            1.6778561 ],
           [0.06636759, 0.05067804, 0.21312697, ..., 1.8103945 , 1.7764965 ,
            1.7764965 ],
           [4.834939  , 5.1824193 , 1.2064333 , ..., 1.2956477 , 0.97043395,
            0.97043395]], 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
    -3.901 -3.367 ... 4.267 4.267

    minval :

    -8.598895

    maxval :

    14.471712

    array([[-3.9009156 , -3.3670833 ,  0.49570113, ...,  5.9708433 ,
             6.185144  ,  6.185144  ],
           [ 0.5192168 , -3.3751006 , -3.89796   , ...,  6.9954348 ,
             6.2638535 ,  6.2638535 ],
           [-0.47343844, -2.5750637 , -4.0333962 , ...,  5.9358845 ,
             6.578075  ,  6.578075  ],
           ...,
           [ 0.65452605, -1.6765372 , -4.645361  , ...,  7.6353126 ,
             7.1883698 ,  7.1883698 ],
           [ 0.6379695 ,  0.23260373,  1.8390789 , ...,  7.4346128 ,
             7.187682  ,  7.187682  ],
           [ 5.349567  , 11.852033  ,  6.9838758 , ...,  5.7787514 ,
             4.2670255 ,  4.2670255 ]], shape=(2000, 49), dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    7.003 2.687 -1.57 ... -4.609 -4.609

    minval :

    -12.046794

    maxval :

    15.885662

    array([[ 7.0029297 ,  2.686768  , -1.5702055 , ..., -3.3820417 ,
            -3.092279  , -3.092279  ],
           [ 6.088417  ,  4.199725  , -1.1376431 , ..., -1.6788509 ,
            -3.1670632 , -3.1670632 ],
           [ 8.092765  ,  4.8321304 ,  0.40459663, ..., -2.4854283 ,
            -2.2428071 , -2.2428071 ],
           ...,
           [ 3.2118607 ,  5.4188557 ,  2.477653  , ..., -3.894859  ,
            -4.0660634 , -4.0660634 ],
           [ 1.5135602 ,  1.4163257 ,  2.2981486 , ..., -4.2801642 ,
            -4.533491  , -4.533491  ],
           [12.958564  ,  8.378352  ,  0.51719236, ..., -4.3902893 ,
            -4.6087995 , -4.6087995 ]], 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 92.57 93.63 ... 206.8 206.8

    minval :

    25.195679

    maxval :

    255.36247

    array([[ 91.598236,  92.5718  ,  93.626564, ..., 228.78381 , 230.36005 ,
            230.36005 ],
           [ 94.49005 ,  95.873184,  96.96442 , ..., 224.9245  , 225.91812 ,
            225.91812 ],
           [ 86.55401 ,  87.481255,  88.51672 , ..., 186.13008 , 191.85724 ,
            191.85724 ],
           ...,
           [131.81262 , 138.39154 , 142.45201 , ..., 215.97185 , 215.06483 ,
            215.06483 ],
           [ 97.5854  , 106.22497 , 111.0518  , ..., 192.90506 , 191.91498 ,
            191.91498 ],
           [122.130585, 129.71854 , 133.99736 , ..., 208.11235 , 206.79654 ,
            206.79654 ]], 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)

• 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 2026-10-05 15:42:18.587477

  date_created :

  2026-10-05T15:42:18.587486

  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 :

  2026-10-05 15:42:13.046020

  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 :

  1.14.11

  seed_geojson :

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

  simulation_time :

  2026-10-05 15:42:18.801482

  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 :

  2026-10-07 15:42:13.046020

  time_coverage_duration :

  P2DT0H0M0S

  time_coverage_resolution :

  P0DT1H0M0S

  performance :

  -------------------- Reader performance: -------------------- global_landmask 0:00:00.0 total 0:00:00.0 preparing 0:00:00.0 reading 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml 0:01:00.6 total 0:00:00.0 preparing 0:01:00.4 reading 0:00:00.0 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 0:00:35.3 total 0:00:00.0 preparing 0:00:35.2 reading 0:00:00.8 interpolation 0:00:00.0 interpolation_time 0:00:00.1 rotating vectors 0:00:00.0 masking -------------------- Performance: 1:50.4 total time 5.5 configuration 0.2 preparing main loop 0.0 moving elements to ocean 1:44.6 main loop 2.9 updating elements 2.8 vertical mixing 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  67.45784

  geospatial_lat_max :

  68.30607

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  12.35679

  geospatial_lon_max :

  14.188705

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:01:50.422417

  geospatial_vertical_min :

  -52.312798

  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
 0:00:00.0  total
 0:00:00.0  preparing
 0:00:00.0  reading
 0:00:00.0  masking
--------------------
https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
 0:01:00.6  total
 0:00:00.0  preparing
 0:01:00.4  reading
 0:00:00.0  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
 0:00:35.3  total
 0:00:00.0  preparing
 0:00:35.2  reading
 0:00:00.8  interpolation
 0:00:00.0  interpolation_time
 0:00:00.1  rotating vectors
 0:00:00.0  masking
--------------------
Performance:
 1:50.4 total time
    5.5 configuration
    0.2 preparing main loop
      0.0 moving elements to ocean
 1:44.6 main loop
      2.9 updating elements
        2.8 vertical mixing
    0.0 cleaning up
--------------------
===========================
Model:  PelagicEggDrift     (OpenDrift version 1.14.11)
        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: 2026-10-05 15:42:13.046020 UTC
        Present: 2026-10-07 15:42:13.046020 UTC
        Calculation steps: 48 * 1:00:00 - total time: 2 days, 0:00:00
        Output steps: 49 * 1:00:00
===========================

15:44:03 WARNING opendrift:2613: Plotting fast. This will make your plots less accurate.
15:44:08 WARNING opendrift:2613: Plotting fast. This will make your plots less accurate.
15:44:09 INFO    opendrift:4823: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_0.gif...
15:44:30 INFO    opendrift:3241: Time to make animation: 0:00:21.735725

o.animate_vertical_distribution()

15:44:32 INFO    opendrift:4823: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_1.gif...
15:44:43 INFO    opendrift.models.oceandrift:644: Time to make animation: 0:00:11.424403