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'])

08:37:25 INFO    opendrift:568: OpenDriftSimulation initialised (version 1.14.9 / v1.14.9-9-gcde0dcf)

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)

08:37:25 INFO    opendrift.models.basemodel.environment:203: Adding a global landmask from GSHHG
08:37:30 INFO    opendrift.models.basemodel.environment:227: Fallback values will be used for the following variables which have no readers:
08:37:30 INFO    opendrift.models.basemodel.environment:230:    x_sea_water_velocity: 0.000000
08:37:30 INFO    opendrift.models.basemodel.environment:230:    y_sea_water_velocity: 0.000000
08:37:30 INFO    opendrift.models.basemodel.environment:230:    sea_surface_height: 0.000000
08:37:30 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_significant_height: 0.000000
08:37:30 INFO    opendrift.models.basemodel.environment:230:    sea_ice_area_fraction: 0.000000
08:37:30 INFO    opendrift.models.basemodel.environment:230:    x_wind: 0.000000
08:37:30 INFO    opendrift.models.basemodel.environment:230:    y_wind: 0.000000
08:37:30 INFO    opendrift.models.basemodel.environment:230:    sea_floor_depth_below_sea_level: 100.000000
08:37:30 INFO    opendrift.models.basemodel.environment:230:    ocean_vertical_diffusivity: 0.020000
08:37:30 INFO    opendrift.models.basemodel.environment:230:    ocean_mixed_layer_thickness: 50.000000
08:37:30 INFO    opendrift.models.basemodel.environment:230:    sea_water_temperature: 10.000000
08:37:30 INFO    opendrift.models.basemodel.environment:230:    sea_water_salinity: 34.000000
08:37:30 INFO    opendrift.models.basemodel.environment:230:    surface_downward_x_stress: 0.000000
08:37:30 INFO    opendrift.models.basemodel.environment:230:    surface_downward_y_stress: 0.000000
08:37:30 INFO    opendrift.models.basemodel.environment:230:    turbulent_kinetic_energy: 0.000000
08:37:30 INFO    opendrift.models.basemodel.environment:230:    turbulent_generic_length_scale: 0.000000
08:37:30 INFO    opendrift.models.basemodel.environment:230:    upward_sea_water_velocity: 0.000000

Running model

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

08:37:30 INFO    opendrift:1839: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
08:37:30 INFO    opendrift:1839: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
08:37:30 INFO    opendrift:947: Using existing reader for land_binary_mask to move elements to ocean
08:37:30 INFO    opendrift:978: All points are in ocean
08:37:30 INFO    opendrift:2136: 2026-03-25 08:37:25.190144 - step 1 of 48 - 2000 active elements (0 deactivated)
08:37:30 INFO    opendrift.readers:64: Opening file with xr.open_dataset
08:37:33 INFO    opendrift.readers.reader_netCDF_CF_generic:340: Detected dimensions: {'x': 'x', 'y': 'y', 'time': 'time'}
08:37:33 INFO    opendrift.readers:64: Opening file with xr.open_dataset
08:37:34 INFO    opendrift.readers.reader_netCDF_CF_generic:340: Detected dimensions: {'time': 'time', 'x': 'x', 'y': 'y'}
08:37:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:37:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:37:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:37:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:37:37 INFO    opendrift:2136: 2026-03-25 09:37:25.190144 - step 2 of 48 - 2000 active elements (0 deactivated)
08:37:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:37:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:37:39 INFO    opendrift:2136: 2026-03-25 10:37:25.190144 - step 3 of 48 - 2000 active elements (0 deactivated)
08:37:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:37:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:37:41 INFO    opendrift:2136: 2026-03-25 11:37:25.190144 - step 4 of 48 - 2000 active elements (0 deactivated)
08:37:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:37:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:37:43 INFO    opendrift:2136: 2026-03-25 12:37:25.190144 - step 5 of 48 - 2000 active elements (0 deactivated)
08:37:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:37:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:37:46 INFO    opendrift:2136: 2026-03-25 13:37:25.190144 - step 6 of 48 - 2000 active elements (0 deactivated)
08:37:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:37:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:37:48 INFO    opendrift:2136: 2026-03-25 14:37:25.190144 - step 7 of 48 - 2000 active elements (0 deactivated)
08:37:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:37:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:37:50 INFO    opendrift:2136: 2026-03-25 15:37:25.190144 - step 8 of 48 - 2000 active elements (0 deactivated)
08:37:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:37:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:37:52 INFO    opendrift:2136: 2026-03-25 16:37:25.190144 - step 9 of 48 - 2000 active elements (0 deactivated)
08:37:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:37:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:37:56 INFO    opendrift:2136: 2026-03-25 17:37:25.190144 - step 10 of 48 - 2000 active elements (0 deactivated)
08:37:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:37:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:37:58 INFO    opendrift:2136: 2026-03-25 18:37:25.190144 - step 11 of 48 - 2000 active elements (0 deactivated)
08:38:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:01 INFO    opendrift:2136: 2026-03-25 19:37:25.190144 - step 12 of 48 - 2000 active elements (0 deactivated)
08:38:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:05 INFO    opendrift:2136: 2026-03-25 20:37:25.190144 - step 13 of 48 - 2000 active elements (0 deactivated)
08:38:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:07 INFO    opendrift:2136: 2026-03-25 21:37:25.190144 - step 14 of 48 - 2000 active elements (0 deactivated)
08:38:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:09 INFO    opendrift:2136: 2026-03-25 22:37:25.190144 - step 15 of 48 - 2000 active elements (0 deactivated)
08:38:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:16 INFO    opendrift:2136: 2026-03-25 23:37:25.190144 - step 16 of 48 - 2000 active elements (0 deactivated)
08:38:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:22 INFO    opendrift:2136: 2026-03-26 00:37:25.190144 - step 17 of 48 - 2000 active elements (0 deactivated)
08:38:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:25 INFO    opendrift:2136: 2026-03-26 01:37:25.190144 - step 18 of 48 - 2000 active elements (0 deactivated)
08:38:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:28 INFO    opendrift:2136: 2026-03-26 02:37:25.190144 - step 19 of 48 - 2000 active elements (0 deactivated)
08:38:30 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:30 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:30 INFO    opendrift:2136: 2026-03-26 03:37:25.190144 - step 20 of 48 - 2000 active elements (0 deactivated)
08:38:33 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:33 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:33 INFO    opendrift:2136: 2026-03-26 04:37:25.190144 - step 21 of 48 - 2000 active elements (0 deactivated)
08:38:35 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:35 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:35 INFO    opendrift:2136: 2026-03-26 05:37:25.190144 - step 22 of 48 - 2000 active elements (0 deactivated)
08:38:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:38 INFO    opendrift:2136: 2026-03-26 06:37:25.190144 - step 23 of 48 - 2000 active elements (0 deactivated)
08:38:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:40 INFO    opendrift:2136: 2026-03-26 07:37:25.190144 - step 24 of 48 - 2000 active elements (0 deactivated)
08:38:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:43 INFO    opendrift:2136: 2026-03-26 08:37:25.190144 - step 25 of 48 - 2000 active elements (0 deactivated)
08:38:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:45 INFO    opendrift:2136: 2026-03-26 09:37:25.190144 - step 26 of 48 - 2000 active elements (0 deactivated)
08:38:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:48 INFO    opendrift:2136: 2026-03-26 10:37:25.190144 - step 27 of 48 - 2000 active elements (0 deactivated)
08:38:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:51 INFO    opendrift:2136: 2026-03-26 11:37:25.190144 - step 28 of 48 - 2000 active elements (0 deactivated)
08:38:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:53 INFO    opendrift:2136: 2026-03-26 12:37:25.190144 - step 29 of 48 - 2000 active elements (0 deactivated)
08:38:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:56 INFO    opendrift:2136: 2026-03-26 13:37:25.190144 - step 30 of 48 - 2000 active elements (0 deactivated)
08:38:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:38:59 INFO    opendrift:2136: 2026-03-26 14:37:25.190144 - step 31 of 48 - 2000 active elements (0 deactivated)
08:39:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:03 INFO    opendrift:2136: 2026-03-26 15:37:25.190144 - step 32 of 48 - 2000 active elements (0 deactivated)
08:39:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:07 INFO    opendrift:2136: 2026-03-26 16:37:25.190144 - step 33 of 48 - 2000 active elements (0 deactivated)
08:39:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:09 INFO    opendrift:2136: 2026-03-26 17:37:25.190144 - step 34 of 48 - 2000 active elements (0 deactivated)
08:39:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:12 INFO    opendrift:2136: 2026-03-26 18:37:25.190144 - step 35 of 48 - 2000 active elements (0 deactivated)
08:39:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:15 INFO    opendrift:2136: 2026-03-26 19:37:25.190144 - step 36 of 48 - 2000 active elements (0 deactivated)
08:39:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:18 INFO    opendrift:2136: 2026-03-26 20:37:25.190144 - step 37 of 48 - 2000 active elements (0 deactivated)
08:39:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:21 INFO    opendrift:2136: 2026-03-26 21:37:25.190144 - step 38 of 48 - 2000 active elements (0 deactivated)
08:39:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:24 INFO    opendrift:2136: 2026-03-26 22:37:25.190144 - step 39 of 48 - 2000 active elements (0 deactivated)
08:39:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:27 INFO    opendrift:2136: 2026-03-26 23:37:25.190144 - step 40 of 48 - 2000 active elements (0 deactivated)
08:39:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:29 INFO    opendrift:2136: 2026-03-27 00:37:25.190144 - step 41 of 48 - 2000 active elements (0 deactivated)
08:39:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:32 INFO    opendrift:2136: 2026-03-27 01:37:25.190144 - step 42 of 48 - 2000 active elements (0 deactivated)
08:39:35 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:35 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:35 INFO    opendrift:2136: 2026-03-27 02:37:25.190144 - step 43 of 48 - 2000 active elements (0 deactivated)
08:39:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:38 INFO    opendrift:2136: 2026-03-27 03:37:25.190144 - step 44 of 48 - 2000 active elements (0 deactivated)
08:39:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:42 INFO    opendrift:2136: 2026-03-27 04:37:25.190144 - step 45 of 48 - 2000 active elements (0 deactivated)
08:39:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:45 INFO    opendrift:2136: 2026-03-27 05:37:25.190144 - step 46 of 48 - 2000 active elements (0 deactivated)
08:39:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:48 INFO    opendrift:2136: 2026-03-27 06:37:25.190144 - step 47 of 48 - 2000 active elements (0 deactivated)
08:39:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:50 INFO    opendrift:2136: 2026-03-27 07:37:25.190144 - step 48 of 48 - 2000 active elements (0 deactivated)
08:39:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:39:53 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 2026-03-2...
Data variables: (12/32)
    status                               (trajectory, time) float32 392kB 0.0...
    moving                               (trajectory, time) float32 392kB 1.0...
    age_seconds                          (trajectory, time) float32 392kB 0.0...
    origin_marker                        (trajectory, time) float32 392kB 0.0...
    lon                                  (trajectory, time) float32 392kB 14....
    lat                                  (trajectory, time) float32 392kB 68....
    ...                                   ...
    sea_water_salinity                   (trajectory, time) float32 392kB 34....
    surface_downward_x_stress            (trajectory, time) float32 392kB 0.0...
    surface_downward_y_stress            (trajectory, time) float32 392kB 0.0...
    turbulent_kinetic_energy             (trajectory, time) float32 392kB 0.0...
    turbulent_generic_length_scale       (trajectory, time) float32 392kB 0.0...
    upward_sea_water_velocity            (trajectory, time) float32 392kB 0.0...
Attributes: (12/139)
    Conventions:                                                      CF-1.11...
    standard_name_vocabulary:                                         CF Stan...
    featureType:                                                      trajectory
    title:                                                            OpenDri...
    summary:                                                          Output ...
    keywords:                                                         traject...
    ...                                                               ...
    geospatial_lon_units:                                             degrees...
    geospatial_lon_resolution:                                        point
    runtime:                                                          0:02:28...
    geospatial_vertical_min:                                          -53.333805
    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]
    2026-03-25T08:37:25.190144 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2026-03-25T08:37:25.190144000', '2026-03-25T09:37:25.190144000',
           '2026-03-25T10:37:25.190144000', '2026-03-25T11:37:25.190144000',
           '2026-03-25T12:37:25.190144000', '2026-03-25T13:37:25.190144000',
           '2026-03-25T14:37:25.190144000', '2026-03-25T15:37:25.190144000',
           '2026-03-25T16:37:25.190144000', '2026-03-25T17:37:25.190144000',
           '2026-03-25T18:37:25.190144000', '2026-03-25T19:37:25.190144000',
           '2026-03-25T20:37:25.190144000', '2026-03-25T21:37:25.190144000',
           '2026-03-25T22:37:25.190144000', '2026-03-25T23:37:25.190144000',
           '2026-03-26T00:37:25.190144000', '2026-03-26T01:37:25.190144000',
           '2026-03-26T02:37:25.190144000', '2026-03-26T03:37:25.190144000',
           '2026-03-26T04:37:25.190144000', '2026-03-26T05:37:25.190144000',
           '2026-03-26T06:37:25.190144000', '2026-03-26T07:37:25.190144000',
           '2026-03-26T08:37:25.190144000', '2026-03-26T09:37:25.190144000',
           '2026-03-26T10:37:25.190144000', '2026-03-26T11:37:25.190144000',
           '2026-03-26T12:37:25.190144000', '2026-03-26T13:37:25.190144000',
           '2026-03-26T14:37:25.190144000', '2026-03-26T15:37:25.190144000',
           '2026-03-26T16:37:25.190144000', '2026-03-26T17:37:25.190144000',
           '2026-03-26T18:37:25.190144000', '2026-03-26T19:37:25.190144000',
           '2026-03-26T20:37:25.190144000', '2026-03-26T21:37:25.190144000',
           '2026-03-26T22:37:25.190144000', '2026-03-26T23:37:25.190144000',
           '2026-03-27T00:37:25.190144000', '2026-03-27T01:37:25.190144000',
           '2026-03-27T02:37:25.190144000', '2026-03-27T03:37:25.190144000',
           '2026-03-27T04:37:25.190144000', '2026-03-27T05:37:25.190144000',
           '2026-03-27T06:37:25.190144000', '2026-03-27T07:37:25.190144000',
           '2026-03-27T08:37:25.190144000'], 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 14.08 ... 12.65 12.64

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    12.123078

    maxval :

    14.129527

    array([[14.084752, 14.083918, 14.084261, ..., 13.81698 , 13.80778 ,
            13.798457],
           [14.019218, 14.018481, 14.018964, ..., 13.681389, 13.670069,
            13.658789],
           [14.047049, 14.047267, 14.048495, ..., 13.796159, 13.787549,
            13.778808],
           ...,
           [13.055853, 13.059669, 13.069078, ..., 12.719341, 12.719341,
            12.719341],
           [13.005157, 13.011436, 13.026977, ..., 12.541595, 12.532477,
            12.524618],
           [13.002091, 13.007102, 13.018384, ..., 12.664178, 12.653098,
            12.641234]], shape=(2000, 49), dtype=float32)

  • lat
    (trajectory, time)
    float32
    68.11 68.11 68.11 ... 67.61 67.61

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    67.5916

    maxval :

    68.235954

    array([[68.10684 , 68.106514, 68.10585 , ..., 68.06647 , 68.06693 ,
            68.06744 ],
           [68.09939 , 68.099495, 68.099266, ..., 68.046715, 68.04614 ,
            68.04552 ],
           [68.11965 , 68.119415, 68.11876 , ..., 68.07333 , 68.0736  ,
            68.073906],
           ...,
           [67.79944 , 67.79922 , 67.79723 , ..., 67.66805 , 67.66805 ,
            67.66805 ],
           [67.82828 , 67.82905 , 67.82762 , ..., 67.79897 , 67.80558 ,
            67.814224],
           [67.78542 , 67.785034, 67.78215 , ..., 67.60433 , 67.60509 ,
            67.60681 ]], shape=(2000, 49), dtype=float32)

  • z
    (trajectory, time)
    float32
    -40.0 -50.39 ... -32.06 -35.97

    dtype :

    <class 'numpy.float32'>

    units :

    m

    standard_name :

    z

    long_name :

    vertical position

    axis :

    Z

    positive :

    up

    minval :

    -53.333805

    maxval :

    0.0

    array([[-40.        , -50.389965  , -42.98585   , ...,  -2.6967366 ,
             -1.3922182 ,  -0.64254516],
           [-40.        , -50.461773  , -48.791428  , ..., -14.052065  ,
            -11.62928   , -39.039722  ],
           [-40.        , -24.709585  ,  -6.2953067 , ..., -10.37151   ,
             -3.570412  ,  -8.8573    ],
           ...,
           [-40.        , -39.387978  , -38.88609   , ..., -36.428017  ,
            -36.40184   , -37.91846   ],
           [-40.        , -22.678402  , -12.421555  , ..., -13.218427  ,
             -2.329171  ,  -4.409401  ],
           [-40.        , -37.698658  , -21.128492  , ..., -31.382195  ,
            -32.05901   , -35.965244  ]], 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
    -0.009655 0.003975 ... -0.1402

    minval :

    -0.6423738

    maxval :

    0.44755548

    array([[-0.00965499,  0.00397487,  0.0093575 , ..., -0.10656695,
            -0.10799679, -0.10799679],
           [-0.00852822,  0.00557926,  0.0113921 , ..., -0.13124156,
            -0.13078333, -0.13078333],
           [ 0.00251958,  0.01419558,  0.01786287, ..., -0.09970283,
            -0.10122652, -0.10122652],
           ...,
           [ 0.04471265,  0.11026941,  0.15656416, ..., -0.23894432,
            -0.23460963, -0.23460963],
           [ 0.07347712,  0.18188056,  0.25567278, ..., -0.10682049,
            -0.09202431, -0.09202431],
           [ 0.05875282,  0.13228664,  0.1819618 , ..., -0.13090795,
            -0.14015704, -0.14015704]], shape=(2000, 49), dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    -0.01019 -0.02058 ... 0.05346

    minval :

    -0.40376753

    maxval :

    0.5173347

    array([[-0.01018991, -0.02057977, -0.02026428, ...,  0.01448549,
             0.01552201,  0.01552201],
           [ 0.003203  , -0.00707872, -0.00957357, ..., -0.01766805,
            -0.01927555, -0.01927555],
           [-0.0072317 , -0.02046408, -0.02267874, ...,  0.00812643,
             0.00946962,  0.00946962],
           ...,
           [-0.0068251 , -0.06158923, -0.11488028, ...,  0.12348287,
             0.20337266,  0.20337266],
           [ 0.0237788 , -0.04404081, -0.11229797, ...,  0.20456517,
             0.26795352,  0.26795352],
           [-0.01211119, -0.08930252, -0.16644287, ...,  0.02346252,
             0.05346378,  0.05346378]], shape=(2000, 49), dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    -0.4439 -0.6629 ... 0.2159 0.2159

    minval :

    -0.74846506

    maxval :

    0.71243644

    array([[-0.44386482, -0.6628617 , -0.66854906, ...,  0.44194683,
             0.32101518,  0.32101518],
           [-0.44159245, -0.6601722 , -0.6663626 , ...,  0.43622804,
             0.3162787 ,  0.3162787 ],
           [-0.44084978, -0.66045153, -0.6672962 , ...,  0.44245422,
             0.32177067,  0.32177067],
           ...,
           [-0.40891647, -0.61093277, -0.62190235, ...,  0.3403838 ,
             0.2240752 ,  0.2240752 ],
           [-0.39873496, -0.604416  , -0.6221061 , ...,  0.29054728,
             0.17678937,  0.17678937],
           [-0.40458518, -0.60453695, -0.61497027, ...,  0.3347035 ,
             0.21593608,  0.21593608]], shape=(2000, 49), dtype=float32)

  • sea_surface_wave_significant_height
    (trajectory, time)
    float32
    2.375 2.315 1.729 ... 1.563 1.563

    minval :

    4.240439e-05

    maxval :

    9.896844

    array([[2.3753493 , 2.3150826 , 1.7290065 , ..., 1.3549159 , 1.2678049 ,
            1.2678049 ],
           [2.44111   , 2.1475685 , 1.764695  , ..., 2.558111  , 2.0778399 ,
            2.0778399 ],
           [2.042032  , 1.6020793 , 1.6559176 , ..., 0.539084  , 0.47342288,
            0.47342288],
           ...,
           [4.2055836 , 3.8539402 , 3.1902661 , ..., 1.6360586 , 1.4153628 ,
            1.4153628 ],
           [3.2429154 , 3.191047  , 3.0429714 , ..., 0.6752843 , 0.35627988,
            0.35627988],
           [2.2208102 , 1.5361646 , 1.1706581 , ..., 1.8898224 , 1.5634903 ,
            1.5634903 ]], 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
    -1.455 -2.31 -3.979 ... 5.591 5.591

    minval :

    -10.567935

    maxval :

    11.098239

    array([[-1.4547892 , -2.31033   , -3.979341  , ...,  3.5424082 ,
             4.263046  ,  4.263046  ],
           [-1.4493842 , -2.5673902 , -3.4428756 , ...,  7.2384677 ,
             6.8304977 ,  6.8304977 ],
           [-3.3903942 , -4.6126556 , -5.847035  , ...,  1.4221723 ,
             1.0008401 ,  1.0008401 ],
           ...,
           [ 2.575073  ,  1.2803158 , -0.15932968, ...,  7.7192035 ,
             7.3763065 ,  7.3763065 ],
           [ 1.4182332 ,  1.502623  ,  1.0270263 , ..., -0.40354013,
            -0.9981508 , -0.9981508 ],
           [ 4.3844924 ,  1.321262  , -2.980249  , ...,  5.5321417 ,
             5.591211  ,  5.591211  ]], shape=(2000, 49), dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    9.718 9.422 7.379 ... -5.683 -5.683

    minval :

    -19.863888

    maxval :

    14.739257

    array([[ 9.718154 ,  9.421859 ,  7.3790016, ..., -6.5214434, -5.776091 ,
            -5.776091 ],
           [ 9.855526 ,  8.983766 ,  7.7383575, ..., -7.1828156, -6.1489286,
            -6.1489286],
           [ 8.4566345,  6.6218257,  5.7555113, ..., -4.459979 , -4.2712   ,
            -4.2712   ],
           ...,
           [12.8190365, 12.450905 , 11.386845 , ..., -2.630657 , -1.7678176,
            -1.7678176],
           [11.393615 , 11.289796 , 11.074441 , ..., -5.223767 , -3.672413 ,
            -3.672413 ],
           [ 8.429298 ,  7.7910194,  6.221402 , ..., -6.798343 , -5.6828585,
            -5.6828585]], 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 91.75 92.04 ... 155.5 155.5

    minval :

    21.682646

    maxval :

    224.87564

    array([[ 91.5983  ,  91.7535  ,  92.042404, ...,  89.23467 ,  89.022026,
             89.022026],
           [ 94.49078 ,  94.40153 ,  94.48685 , ...,  91.75258 ,  89.51717 ,
             89.51717 ],
           [ 86.55411 ,  86.663475,  86.9622  , ...,  84.02801 ,  83.67842 ,
             83.67842 ],
           ...,
           [131.81073 , 133.19438 , 136.65186 , ...,  68.38537 ,  61.26144 ,
             61.26144 ],
           [ 97.5854  ,  99.214745, 104.85934 , ..., 100.19657 , 103.07755 ,
            103.07755 ],
           [122.13024 , 124.0297  , 129.14719 , ..., 159.80501 , 155.4675  ,
            155.4675  ]], 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(['2026-03-25 08:37:25.190144', '2026-03-25 09:37:25.190144',
                   '2026-03-25 10:37:25.190144', '2026-03-25 11:37:25.190144',
                   '2026-03-25 12:37:25.190144', '2026-03-25 13:37:25.190144',
                   '2026-03-25 14:37:25.190144', '2026-03-25 15:37:25.190144',
                   '2026-03-25 16:37:25.190144', '2026-03-25 17:37:25.190144',
                   '2026-03-25 18:37:25.190144', '2026-03-25 19:37:25.190144',
                   '2026-03-25 20:37:25.190144', '2026-03-25 21:37:25.190144',
                   '2026-03-25 22:37:25.190144', '2026-03-25 23:37:25.190144',
                   '2026-03-26 00:37:25.190144', '2026-03-26 01:37:25.190144',
                   '2026-03-26 02:37:25.190144', '2026-03-26 03:37:25.190144',
                   '2026-03-26 04:37:25.190144', '2026-03-26 05:37:25.190144',
                   '2026-03-26 06:37:25.190144', '2026-03-26 07:37:25.190144',
                   '2026-03-26 08:37:25.190144', '2026-03-26 09:37:25.190144',
                   '2026-03-26 10:37:25.190144', '2026-03-26 11:37:25.190144',
                   '2026-03-26 12:37:25.190144', '2026-03-26 13:37:25.190144',
                   '2026-03-26 14:37:25.190144', '2026-03-26 15:37:25.190144',
                   '2026-03-26 16:37:25.190144', '2026-03-26 17:37:25.190144',
                   '2026-03-26 18:37:25.190144', '2026-03-26 19:37:25.190144',
                   '2026-03-26 20:37:25.190144', '2026-03-26 21:37:25.190144',
                   '2026-03-26 22:37:25.190144', '2026-03-26 23:37:25.190144',
                   '2026-03-27 00:37:25.190144', '2026-03-27 01:37:25.190144',
                   '2026-03-27 02:37:25.190144', '2026-03-27 03:37:25.190144',
                   '2026-03-27 04:37:25.190144', '2026-03-27 05:37:25.190144',
                   '2026-03-27 06:37:25.190144', '2026-03-27 07:37:25.190144',
                   '2026-03-27 08:37:25.190144'],
                  dtype='datetime64[ns]', name='time', freq='h'))

• Attributes: (139)

  Conventions :

  CF-1.11, ACDD-1.3

  standard_name_vocabulary :

  CF Standard Name Table v85

  featureType :

  trajectory

  title :

  OpenDrift trajectory simulation

  summary :

  Output from simulation with OpenDrift framework

  keywords :

  trajectory, drift, lagrangian, simulation

  history :

  Created 2026-03-25 08:37:30.155879

  date_created :

  2026-03-25T08:37:30.155897

  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 :

  2026-03-25 08:37:25.190144

  time_step_calculation :

  1:00:00

  time_step_output :

  1:00:00

  config_environment:constant:x_sea_water_velocity :

  None

  config_environment:fallback:x_sea_water_velocity :

  0

  config_environment:constant:y_sea_water_velocity :

  None

  config_environment:fallback:y_sea_water_velocity :

  0

  config_environment:constant:sea_surface_height :

  None

  config_environment:fallback:sea_surface_height :

  0

  config_environment:constant:sea_surface_wave_significant_height :

  None

  config_environment:fallback:sea_surface_wave_significant_height :

  0

  config_environment:constant:sea_ice_area_fraction :

  None

  config_environment:fallback:sea_ice_area_fraction :

  0

  config_environment:constant:x_wind :

  None

  config_environment:fallback:x_wind :

  0

  config_environment:constant:y_wind :

  None

  config_environment:fallback:y_wind :

  0

  config_environment:constant:land_binary_mask :

  None

  config_environment:fallback:land_binary_mask :

  None

  config_environment:constant:sea_floor_depth_below_sea_level :

  None

  config_environment:fallback:sea_floor_depth_below_sea_level :

  100

  config_environment:constant:ocean_vertical_diffusivity :

  None

  config_environment:fallback:ocean_vertical_diffusivity :

  0.02

  config_environment:constant:ocean_mixed_layer_thickness :

  None

  config_environment:fallback:ocean_mixed_layer_thickness :

  50

  config_environment:constant:sea_water_temperature :

  None

  config_environment:fallback:sea_water_temperature :

  10

  config_environment:constant:sea_water_salinity :

  None

  config_environment:fallback:sea_water_salinity :

  34

  config_environment:constant:surface_downward_x_stress :

  None

  config_environment:fallback:surface_downward_x_stress :

  0

  config_environment:constant:surface_downward_y_stress :

  None

  config_environment:fallback:surface_downward_y_stress :

  0

  config_environment:constant:turbulent_kinetic_energy :

  None

  config_environment:fallback:turbulent_kinetic_energy :

  0

  config_environment:constant:turbulent_generic_length_scale :

  None

  config_environment:fallback:turbulent_generic_length_scale :

  0

  config_environment:constant:upward_sea_water_velocity :

  None

  config_environment:fallback:upward_sea_water_velocity :

  0

  config_general:use_auto_landmask :

  True

  config_drift:current_uncertainty :

  0

  config_drift:current_uncertainty_uniform :

  0

  config_drift:max_speed :

  2.0

  config_readers:max_number_of_fails :

  1

  config_general:simulation_name :

  config_general:coastline_action :

  previous

  config_general:coastline_approximation_precision :

  0.001

  config_general:time_step_minutes :

  60

  config_general:time_step_output_minutes :

  None

  config_seed:ocean_only :

  True

  config_seed:number :

  1

  config_drift:max_age_seconds :

  None

  config_drift:advection_scheme :

  euler

  config_drift:profiles_depth :

  50

  config_drift:wind_uncertainty :

  0

  config_drift:relative_wind :

  False

  config_drift:deactivate_north_of :

  None

  config_drift:deactivate_south_of :

  None

  config_drift:deactivate_east_of :

  None

  config_drift:deactivate_west_of :

  None

  config_seed:origin_marker :

  0

  config_seed:z :

  0

  config_seed:wind_drift_factor :

  0.02

  config_seed:current_drift_factor :

  1

  config_seed:terminal_velocity :

  0.0

  config_seed:diameter :

  0.0014

  config_seed:neutral_buoyancy_salinity :

  31.25

  config_seed:density :

  1028.0

  config_seed:hatched :

  0.0

  config_drift:vertical_advection :

  True

  config_drift:vertical_advection_at_surface :

  True

  config_drift:water_column_stretching :

  False

  config_drift:vertical_advection_correction :

  False

  config_drift:vertical_mixing :

  True

  config_drift:vertical_mixing_at_surface :

  True

  config_vertical_mixing:timestep :

  60.0

  config_vertical_mixing:diffusivitymodel :

  windspeed_Sundby1983

  config_vertical_mixing:background_diffusivity :

  1.2e-05

  config_vertical_mixing:TSprofiles :

  False

  config_drift:wind_drift_depth :

  0.1

  config_drift:stokes_drift :

  True

  config_drift:stokes_drift_profile :

  Phillips

  config_drift:use_tabularised_stokes_drift :

  False

  config_drift:tabularised_stokes_drift_fetch :

  25000

  config_general:seafloor_action :

  lift_to_seafloor

  config_drift:truncate_ocean_model_below_m :

  None

  config_seed:seafloor :

  False

  opendrift_version :

  1.14.9

  seed_geojson :

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

  simulation_time :

  2026-03-25 08:37:30.164446

  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 :

  2026-03-27 08:37:25.190144

  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 0:01:11.4 total 0:00:00.0 preparing 0:01:11.3 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 0:00:58.1 total 0:00:00.0 preparing 0:00:57.9 reading 0:00:01.0 interpolation 0:00:00.0 interpolation_time 0:00:00.1 rotating vectors 0:00:00.0 masking -------------------- Performance: 2:28.9 total time 4.9 configuration 0.0 preparing main loop 0.0 moving elements to ocean 2:23.7 main loop 3.3 updating elements 3.3 vertical mixing 0.1 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  67.5916

  geospatial_lat_max :

  68.235954

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  12.123078

  geospatial_lon_max :

  14.129527

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:02:28.936819

  geospatial_vertical_min :

  -53.333805

  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
 0:01:11.4  total
 0:00:00.0  preparing
 0:01:11.3  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
 0:00:58.1  total
 0:00:00.0  preparing
 0:00:57.9  reading
 0:00:01.0  interpolation
 0:00:00.0  interpolation_time
 0:00:00.1  rotating vectors
 0:00:00.0  masking
--------------------
Performance:
 2:28.9 total time
    4.9 configuration
    0.0 preparing main loop
      0.0 moving elements to ocean
 2:23.7 main loop
      3.3 updating elements
        3.3 vertical mixing
    0.1 cleaning up
--------------------
===========================
Model:  PelagicEggDrift     (OpenDrift version 1.14.9)
        2000 active PelagicEgg particles  (0 deactivated, 0 scheduled)
-------------------
Environment variables:
  -----
  land_binary_mask
     1) global_landmask
  -----
  sea_floor_depth_below_sea_level
  sea_surface_height
  x_sea_water_velocity
  y_sea_water_velocity
     1) https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
  -----
  x_wind
  y_wind
     1) https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc
  -----
Readers not added for the following variables:
  ocean_mixed_layer_thickness
  ocean_vertical_diffusivity
  sea_ice_area_fraction
  sea_surface_wave_significant_height
  sea_water_salinity
  sea_water_temperature
  surface_downward_x_stress
  surface_downward_y_stress
  turbulent_generic_length_scale
  turbulent_kinetic_energy
  upward_sea_water_velocity

Discarded readers:

Time:
        Start: 2026-03-25 08:37:25.190144 UTC
        Present: 2026-03-27 08:37:25.190144 UTC
        Calculation steps: 48 * 1:00:00 - total time: 2 days, 0:00:00
        Output steps: 49 * 1:00:00
===========================

08:39:54 WARNING opendrift:2499: Plotting fast. This will make your plots less accurate.
08:40:00 WARNING opendrift:2499: Plotting fast. This will make your plots less accurate.
08:40:01 INFO    opendrift:4697: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_0.gif...
08:40:34 INFO    opendrift:3120: Time to make animation: 0:00:34.874969

o.animate_vertical_distribution()

08:40:36 INFO    opendrift:4697: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_1.gif...
08:40:48 INFO    opendrift.models.oceandrift:644: Time to make animation: 0:00:12.264309