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'])

16:23:29 INFO    opendrift:569: OpenDriftSimulation initialised (version 1.14.10 / v1.14.10-37-gd24556f)

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)

16:23:29 INFO    opendrift.models.basemodel.environment:203: Adding a global landmask from GSHHG
16:23:35 INFO    opendrift.models.basemodel.environment:227: Fallback values will be used for the following variables which have no readers:
16:23:35 INFO    opendrift.models.basemodel.environment:230:    x_sea_water_velocity: 0.000000
16:23:35 INFO    opendrift.models.basemodel.environment:230:    y_sea_water_velocity: 0.000000
16:23:35 INFO    opendrift.models.basemodel.environment:230:    sea_surface_height: 0.000000
16:23:35 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_significant_height: 0.000000
16:23:35 INFO    opendrift.models.basemodel.environment:230:    sea_ice_area_fraction: 0.000000
16:23:35 INFO    opendrift.models.basemodel.environment:230:    x_wind: 0.000000
16:23:35 INFO    opendrift.models.basemodel.environment:230:    y_wind: 0.000000
16:23:35 INFO    opendrift.models.basemodel.environment:230:    sea_floor_depth_below_sea_level: 100.000000
16:23:35 INFO    opendrift.models.basemodel.environment:230:    ocean_vertical_diffusivity: 0.020000
16:23:35 INFO    opendrift.models.basemodel.environment:230:    ocean_mixed_layer_thickness: 50.000000
16:23:35 INFO    opendrift.models.basemodel.environment:230:    sea_water_temperature: 10.000000
16:23:35 INFO    opendrift.models.basemodel.environment:230:    sea_water_salinity: 34.000000
16:23:35 INFO    opendrift.models.basemodel.environment:230:    surface_downward_x_stress: 0.000000
16:23:35 INFO    opendrift.models.basemodel.environment:230:    surface_downward_y_stress: 0.000000
16:23:35 INFO    opendrift.models.basemodel.environment:230:    turbulent_kinetic_energy: 0.000000
16:23:35 INFO    opendrift.models.basemodel.environment:230:    turbulent_generic_length_scale: 0.000000
16:23:35 INFO    opendrift.models.basemodel.environment:230:    upward_sea_water_velocity: 0.000000

Running model

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

16:23:35 INFO    opendrift:1914: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
16:23:35 INFO    opendrift:1914: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
16:23:35 INFO    opendrift:955: Using existing reader for land_binary_mask to move elements to ocean
16:23:35 INFO    opendrift:986: All points are in ocean
16:23:35 INFO    opendrift:2213: 2026-08-21 16:23:29.085918 - step 1 of 48 - 2000 active elements (0 deactivated)
16:23:35 INFO    opendrift.readers:67: Opening file with xr.open_dataset
16:23:38 INFO    opendrift.readers.reader_netCDF_CF_generic:340: Detected dimensions: {'x': 'x', 'y': 'y', 'z': 'depth', 'time': 'time'}
16:23:38 INFO    opendrift.readers:67: Opening file with xr.open_dataset
16:23:39 INFO    opendrift.readers.reader_netCDF_CF_generic:340: Detected dimensions: {'time': 'time', 'x': 'x', 'y': 'y'}
16:23:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:23:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:23:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:23:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:23:42 INFO    opendrift:2213: 2026-08-21 17:23:29.085918 - step 2 of 48 - 2000 active elements (0 deactivated)
16:23:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:23:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:23:44 INFO    opendrift:2213: 2026-08-21 18:23:29.085918 - step 3 of 48 - 2000 active elements (0 deactivated)
16:23:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:23:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:23:46 INFO    opendrift:2213: 2026-08-21 19:23:29.085918 - step 4 of 48 - 2000 active elements (0 deactivated)
16:23:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:23:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:23:47 INFO    opendrift:2213: 2026-08-21 20:23:29.085918 - step 5 of 48 - 2000 active elements (0 deactivated)
16:23:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:23:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:23:49 INFO    opendrift:2213: 2026-08-21 21:23:29.085918 - step 6 of 48 - 2000 active elements (0 deactivated)
16:23:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:23:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:23:51 INFO    opendrift:2213: 2026-08-21 22:23:29.085918 - step 7 of 48 - 2000 active elements (0 deactivated)
16:23:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:23:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:23:53 INFO    opendrift:2213: 2026-08-21 23:23:29.085918 - step 8 of 48 - 2000 active elements (0 deactivated)
16:23:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:23:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:23:54 INFO    opendrift:2213: 2026-08-22 00:23:29.085918 - step 9 of 48 - 2000 active elements (0 deactivated)
16:23:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:23:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:23:56 INFO    opendrift:2213: 2026-08-22 01:23:29.085918 - step 10 of 48 - 2000 active elements (0 deactivated)
16:23:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:23:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:23:58 INFO    opendrift:2213: 2026-08-22 02:23:29.085918 - step 11 of 48 - 2000 active elements (0 deactivated)
16:24:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:00 INFO    opendrift:2213: 2026-08-22 03:23:29.085918 - step 12 of 48 - 2000 active elements (0 deactivated)
16:24:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:02 INFO    opendrift:2213: 2026-08-22 04:23:29.085918 - step 13 of 48 - 2000 active elements (0 deactivated)
16:24:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:04 INFO    opendrift:2213: 2026-08-22 05:23:29.085918 - step 14 of 48 - 2000 active elements (0 deactivated)
16:24:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:06 INFO    opendrift:2213: 2026-08-22 06:23:29.085918 - step 15 of 48 - 2000 active elements (0 deactivated)
16:24:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:07 INFO    opendrift:2213: 2026-08-22 07:23:29.085918 - step 16 of 48 - 2000 active elements (0 deactivated)
16:24:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:09 INFO    opendrift:2213: 2026-08-22 08:23:29.085918 - step 17 of 48 - 2000 active elements (0 deactivated)
16:24:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:11 INFO    opendrift:2213: 2026-08-22 09:23:29.085918 - step 18 of 48 - 2000 active elements (0 deactivated)
16:24:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:13 INFO    opendrift:2213: 2026-08-22 10:23:29.085918 - step 19 of 48 - 2000 active elements (0 deactivated)
16:24:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:15 INFO    opendrift:2213: 2026-08-22 11:23:29.085918 - step 20 of 48 - 2000 active elements (0 deactivated)
16:24:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:17 INFO    opendrift:2213: 2026-08-22 12:23:29.085918 - step 21 of 48 - 2000 active elements (0 deactivated)
16:24:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:18 INFO    opendrift:2213: 2026-08-22 13:23:29.085918 - step 22 of 48 - 2000 active elements (0 deactivated)
16:24:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:20 INFO    opendrift:2213: 2026-08-22 14:23:29.085918 - step 23 of 48 - 2000 active elements (0 deactivated)
16:24:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:22 INFO    opendrift:2213: 2026-08-22 15:23:29.085918 - step 24 of 48 - 2000 active elements (0 deactivated)
16:24:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:24 INFO    opendrift:2213: 2026-08-22 16:23:29.085918 - step 25 of 48 - 2000 active elements (0 deactivated)
16:24:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:26 INFO    opendrift:2213: 2026-08-22 17:23:29.085918 - step 26 of 48 - 2000 active elements (0 deactivated)
16:24:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:28 INFO    opendrift:2213: 2026-08-22 18:23:29.085918 - step 27 of 48 - 2000 active elements (0 deactivated)
16:24:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:30 INFO    opendrift:2213: 2026-08-22 19:23:29.085918 - step 28 of 48 - 2000 active elements (0 deactivated)
16:24:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:31 INFO    opendrift:2213: 2026-08-22 20:23:29.085918 - step 29 of 48 - 2000 active elements (0 deactivated)
16:24:33 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:33 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:33 INFO    opendrift:2213: 2026-08-22 21:23:29.085918 - step 30 of 48 - 2000 active elements (0 deactivated)
16:24:35 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:35 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:35 INFO    opendrift:2213: 2026-08-22 22:23:29.085918 - step 31 of 48 - 2000 active elements (0 deactivated)
16:24:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:37 INFO    opendrift:2213: 2026-08-22 23:23:29.085918 - step 32 of 48 - 2000 active elements (0 deactivated)
16:24:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:39 INFO    opendrift:2213: 2026-08-23 00:23:29.085918 - step 33 of 48 - 2000 active elements (0 deactivated)
16:24:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:41 INFO    opendrift:2213: 2026-08-23 01:23:29.085918 - step 34 of 48 - 2000 active elements (0 deactivated)
16:24:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:42 INFO    opendrift:2213: 2026-08-23 02:23:29.085918 - step 35 of 48 - 2000 active elements (0 deactivated)
16:24:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:44 INFO    opendrift:2213: 2026-08-23 03:23:29.085918 - step 36 of 48 - 2000 active elements (0 deactivated)
16:24:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:46 INFO    opendrift:2213: 2026-08-23 04:23:29.085918 - step 37 of 48 - 2000 active elements (0 deactivated)
16:24:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:48 INFO    opendrift:2213: 2026-08-23 05:23:29.085918 - step 38 of 48 - 2000 active elements (0 deactivated)
16:24:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:50 INFO    opendrift:2213: 2026-08-23 06:23:29.085918 - step 39 of 48 - 2000 active elements (0 deactivated)
16:24:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:52 INFO    opendrift:2213: 2026-08-23 07:23:29.085918 - step 40 of 48 - 2000 active elements (0 deactivated)
16:24:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:54 INFO    opendrift:2213: 2026-08-23 08:23:29.085918 - step 41 of 48 - 2000 active elements (0 deactivated)
16:24:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:56 INFO    opendrift:2213: 2026-08-23 09:23:29.085918 - step 42 of 48 - 2000 active elements (0 deactivated)
16:24:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:24:58 INFO    opendrift:2213: 2026-08-23 10:23:29.085918 - step 43 of 48 - 2000 active elements (0 deactivated)
16:25:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:25:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:25:00 INFO    opendrift:2213: 2026-08-23 11:23:29.085918 - step 44 of 48 - 2000 active elements (0 deactivated)
16:25:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:25:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:25:02 INFO    opendrift:2213: 2026-08-23 12:23:29.085918 - step 45 of 48 - 2000 active elements (0 deactivated)
16:25:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:25:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:25:04 INFO    opendrift:2213: 2026-08-23 13:23:29.085918 - step 46 of 48 - 2000 active elements (0 deactivated)
16:25:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:25:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:25:06 INFO    opendrift:2213: 2026-08-23 14:23:29.085918 - step 47 of 48 - 2000 active elements (0 deactivated)
16:25:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:25:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:25:08 INFO    opendrift:2213: 2026-08-23 15:23:29.085918 - step 48 of 48 - 2000 active elements (0 deactivated)
16:25:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:25:10 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 2026-08-2...
Data variables: (12/32)
    status                               (trajectory, time) float32 392kB 0.0...
    moving                               (trajectory, time) float32 392kB 1.0...
    age_seconds                          (trajectory, time) float32 392kB 0.0...
    origin_marker                        (trajectory, time) float32 392kB 0.0...
    lon                                  (trajectory, time) float32 392kB 14....
    lat                                  (trajectory, time) float32 392kB 68....
    ...                                   ...
    sea_water_salinity                   (trajectory, time) float32 392kB 34....
    surface_downward_x_stress            (trajectory, time) float32 392kB 0.0...
    surface_downward_y_stress            (trajectory, time) float32 392kB 0.0...
    turbulent_kinetic_energy             (trajectory, time) float32 392kB 0.0...
    turbulent_generic_length_scale       (trajectory, time) float32 392kB 0.0...
    upward_sea_water_velocity            (trajectory, time) float32 392kB 0.0...
Attributes: (12/139)
    Conventions:                                                      CF-1.11...
    standard_name_vocabulary:                                         CF Stan...
    featureType:                                                      trajectory
    title:                                                            OpenDri...
    summary:                                                          Output ...
    keywords:                                                         traject...
    ...                                                               ...
    geospatial_lon_units:                                             degrees...
    geospatial_lon_resolution:                                        point
    runtime:                                                          0:01:41...
    geospatial_vertical_min:                                          -51.203415
    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]
    2026-08-21T16:23:29.085918 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2026-08-21T16:23:29.085918000', '2026-08-21T17:23:29.085918000',
           '2026-08-21T18:23:29.085918000', '2026-08-21T19:23:29.085918000',
           '2026-08-21T20:23:29.085918000', '2026-08-21T21:23:29.085918000',
           '2026-08-21T22:23:29.085918000', '2026-08-21T23:23:29.085918000',
           '2026-08-22T00:23:29.085918000', '2026-08-22T01:23:29.085918000',
           '2026-08-22T02:23:29.085918000', '2026-08-22T03:23:29.085918000',
           '2026-08-22T04:23:29.085918000', '2026-08-22T05:23:29.085918000',
           '2026-08-22T06:23:29.085918000', '2026-08-22T07:23:29.085918000',
           '2026-08-22T08:23:29.085918000', '2026-08-22T09:23:29.085918000',
           '2026-08-22T10:23:29.085918000', '2026-08-22T11:23:29.085918000',
           '2026-08-22T12:23:29.085918000', '2026-08-22T13:23:29.085918000',
           '2026-08-22T14:23:29.085918000', '2026-08-22T15:23:29.085918000',
           '2026-08-22T16:23:29.085918000', '2026-08-22T17:23:29.085918000',
           '2026-08-22T18:23:29.085918000', '2026-08-22T19:23:29.085918000',
           '2026-08-22T20:23:29.085918000', '2026-08-22T21:23:29.085918000',
           '2026-08-22T22:23:29.085918000', '2026-08-22T23:23:29.085918000',
           '2026-08-23T00:23:29.085918000', '2026-08-23T01:23:29.085918000',
           '2026-08-23T02:23:29.085918000', '2026-08-23T03:23:29.085918000',
           '2026-08-23T04:23:29.085918000', '2026-08-23T05:23:29.085918000',
           '2026-08-23T06:23:29.085918000', '2026-08-23T07:23:29.085918000',
           '2026-08-23T08:23:29.085918000', '2026-08-23T09:23:29.085918000',
           '2026-08-23T10:23:29.085918000', '2026-08-23T11:23:29.085918000',
           '2026-08-23T12:23:29.085918000', '2026-08-23T13:23:29.085918000',
           '2026-08-23T14:23:29.085918000', '2026-08-23T15:23:29.085918000',
           '2026-08-23T16:23:29.085918000'], 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 ... 12.73 12.76

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    12.304344

    maxval :

    14.129527

    array([[14.084752, 14.080915, 14.076061, ..., 13.961064, 13.966219,
            13.972928],
           [14.019218, 14.014474, 14.008885, ..., 13.928783, 13.935655,
            13.943766],
           [14.047049, 14.043959, 14.039881, ..., 13.999773, 14.006665,
            14.014653],
           ...,
           [13.055853, 13.044389, 13.03037 , ..., 12.702586, 12.729586,
            12.761291],
           [13.005157, 12.989382, 12.96989 , ..., 12.694816, 12.712995,
            12.737074],
           [13.002091, 12.990998, 12.977438, ..., 12.702813, 12.728822,
            12.760582]], shape=(2000, 49), dtype=float32)

  • lat
    (trajectory, time)
    float32
    68.11 68.11 68.11 ... 67.8 67.8

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    67.597885

    maxval :

    68.41706

    array([[68.10684 , 68.10604 , 68.105194, ..., 68.10281 , 68.1042  ,
            68.10545 ],
           [68.09939 , 68.09882 , 68.09833 , ..., 68.115005, 68.11682 ,
            68.11842 ],
           [68.11965 , 68.11919 , 68.11877 , ..., 68.13226 , 68.13339 ,
            68.13427 ],
           ...,
           [67.79944 , 67.7974  , 67.79518 , ..., 67.779236, 67.78387 ,
            67.78409 ],
           [67.82828 , 67.82726 , 67.82704 , ..., 68.00534 , 68.020035,
            68.03276 ],
           [67.78542 , 67.784134, 67.78296 , ..., 67.79335 , 67.798615,
            67.79956 ]], shape=(2000, 49), dtype=float32)

  • z
    (trajectory, time)
    float32
    -40.0 -50.43 ... -10.42 -12.23

    dtype :

    <class 'numpy.float32'>

    units :

    m

    standard_name :

    z

    long_name :

    vertical position

    axis :

    Z

    positive :

    up

    minval :

    -51.203415

    maxval :

    0.0

    array([[-40.       , -50.426983 , -44.620754 , ...,  -2.4081106,
             -1.1527587,  -0.6238986],
           [-40.       , -42.55347  , -41.04023  , ...,  -6.684478 ,
             -6.594668 , -21.370655 ],
           [-40.       , -28.557165 , -13.32562  , ...,  -7.9467416,
             -0.8718619, -10.806295 ],
           ...,
           [-40.       , -37.108025 , -34.014484 , ..., -19.391996 ,
            -19.71878  , -22.155054 ],
           [-40.       , -30.932344 , -18.803999 , ...,  -5.4427223,
             -1.707385 ,  -4.8554773],
           [-40.       , -39.40643  , -27.52836  , ..., -11.3322   ,
            -10.421685 , -12.229424 ]], 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
    -0.04437 -0.05614 ... 0.3721 0.3721

    minval :

    -0.47918183

    maxval :

    0.398791

    array([[-0.04437018, -0.0561372 , -0.06767776, ...,  0.05961569,
             0.0775808 ,  0.0775808 ],
           [-0.05488488, -0.06464761, -0.0721764 , ...,  0.07942142,
             0.09374393,  0.09374393],
           [-0.03570947, -0.04713603, -0.0569002 , ...,  0.07960709,
             0.09225395,  0.09225395],
           ...,
           [-0.13434486, -0.16430154, -0.19922072, ...,  0.3165864 ,
             0.37174073,  0.37174073],
           [-0.1846383 , -0.22812046, -0.26635855, ...,  0.21099962,
             0.27933687,  0.27933687],
           [-0.13006791, -0.15901294, -0.19255553, ...,  0.304775  ,
             0.37214497,  0.37214497]], shape=(2000, 49), dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    -0.02482 -0.02622 ... 0.02956

    minval :

    -0.32653072

    maxval :

    0.69660336

    array([[-0.02482028, -0.02622007, -0.02730854, ...,  0.04305874,
             0.03885395,  0.03885395],
           [-0.01742558, -0.0153406 , -0.01349576, ...,  0.0562652 ,
             0.0495456 ,  0.0495456 ],
           [-0.01445168, -0.01293604, -0.01160286, ...,  0.03498323,
             0.02722205,  0.02722205],
           ...,
           [-0.06301964, -0.06889442, -0.07382594, ...,  0.14369316,
             0.00675089,  0.00675089],
           [-0.03131496, -0.00695995,  0.02418955, ...,  0.45517442,
             0.39441487,  0.39441487],
           [-0.03985288, -0.03643174, -0.03125852, ...,  0.16296087,
             0.02956486,  0.02956486]], shape=(2000, 49), dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    0.2197 0.3028 ... -0.5714 -0.5714

    minval :

    -0.71151876

    maxval :

    0.30383247

    array([[ 0.21968473,  0.30283582,  0.2943879 , ..., -0.7029059 ,
            -0.5909164 , -0.5909164 ],
           [ 0.21796638,  0.30117592,  0.2925952 , ..., -0.7032318 ,
            -0.5916318 , -0.5916318 ],
           [ 0.21869802,  0.30206996,  0.29397488, ..., -0.703611  ,
            -0.5919148 , -0.5919148 ],
           ...,
           [ 0.162958  ,  0.24553338,  0.23359028, ..., -0.66886544,
            -0.5716152 , -0.5716152 ],
           [ 0.16698176,  0.25086984,  0.24015746, ..., -0.647096  ,
            -0.56448525, -0.56448525],
           [ 0.16069166,  0.2419565 ,  0.22894537, ..., -0.6676011 ,
            -0.57137614, -0.57137614]], shape=(2000, 49), dtype=float32)

  • sea_surface_wave_significant_height
    (trajectory, time)
    float32
    0.6762 0.869 0.7615 ... 0.546 0.546

    minval :

    2.1769336e-05

    maxval :

    2.6894937

    array([[0.67618   , 0.8690148 , 0.7614589 , ..., 0.44426906, 0.5163807 ,
            0.5163807 ],
           [0.14047107, 0.16204815, 0.17083633, ..., 0.3336447 , 0.24361621,
            0.24361621],
           [0.5222962 , 0.60073346, 0.46381417, ..., 0.9466684 , 1.0910782 ,
            1.0910782 ],
           ...,
           [0.19600505, 0.34305927, 0.23871893, ..., 2.0167856 , 2.1203477 ,
            2.1203477 ],
           [0.02408471, 0.06431405, 0.04031901, ..., 0.40545195, 0.5979046 ,
            0.5979046 ],
           [0.01290868, 0.03003116, 0.31277   , ..., 0.5355026 , 0.54596335,
            0.54596335]], 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
    -0.8449 -0.6805 ... 3.737 3.737

    minval :

    -5.7052064

    maxval :

    7.486117

    array([[-0.84487045, -0.68051374, -0.7786109 , ...,  3.2084281 ,
             3.4284937 ,  3.4284937 ],
           [ 1.7051587 ,  1.5673234 ,  1.6581383 , ...,  3.5162964 ,
             3.1159625 ,  3.1159625 ],
           [-0.17625695, -0.6184922 , -0.06396899, ...,  3.360142  ,
             3.6752117 ,  3.6752117 ],
           ...,
           [-1.2140433 , -1.3581322 , -1.0449235 , ...,  2.8767924 ,
             3.1692655 ,  3.1692655 ],
           [-0.74824965, -0.7881738 , -0.6726887 , ...,  1.6659248 ,
             2.198302  ,  2.198302  ],
           [ 0.38167512, -0.9762257 , -2.3563735 , ...,  3.8287945 ,
             3.7369137 ,  3.7369137 ]], shape=(2000, 49), dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    -5.174 -5.904 ... 2.869 2.869

    minval :

    -9.040001

    maxval :

    10.022476

    array([[-5.174281  , -5.9044647 , -5.5088453 , ...,  2.7867024 ,
             3.039164  ,  3.039164  ],
           [ 1.6741087 ,  2.032442  ,  2.0482051 , ..., -1.0947388 ,
            -0.4403131 , -0.4403131 ],
           [-4.6043987 , -4.902808  , -4.3416753 , ...,  5.214586  ,
             5.5538807 ,  5.5538807 ],
           ...,
           [-2.5482905 , -3.4786458 , -2.9346473 , ...,  8.585291  ,
             8.726326  ,  8.726326  ],
           [-0.64743775, -1.4117982 , -1.0892539 , ...,  3.7022266 ,
             4.41277   ,  4.41277   ],
           [ 0.6156843 , -0.51745737, -2.6761413 , ...,  2.666221  ,
             2.868642  ,  2.868642  ]], 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 92.0 92.43 ... 56.12 56.12

    minval :

    24.784878

    maxval :

    229.78311

    array([[ 91.5983  ,  91.997986,  92.43207 , ...,  87.81443 ,  87.964615,
             87.964615],
           [ 94.49078 ,  94.131836,  93.68972 , ...,  79.470215,  79.69351 ,
             79.69351 ],
           [ 86.55411 ,  86.83366 ,  87.10062 , ...,  80.3719  ,  80.00329 ,
             80.00329 ],
           ...,
           [131.81073 , 129.20532 , 125.85765 , ...,  46.748253,  49.492928,
             49.492928],
           [ 97.5854  ,  92.943146,  86.68884 , ...,  82.3759  ,  86.341354,
             86.341354],
           [122.13023 , 118.89814 , 114.7232  , ...,  55.81803 ,  56.119637,
             56.119637]], 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 2026-08-21 16:23:35.446919

  date_created :

  2026-08-21T16:23:35.446931

  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 :

  2026-08-21 16:23:29.085918

  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 :

  1.14.10

  seed_geojson :

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

  simulation_time :

  2026-08-21 16:23:35.742392

  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 :

  2026-08-23 16:23:29.085918

  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 0:00:48.6 total 0:00:00.0 preparing 0:00:48.5 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 0:00:35.3 total 0:00:00.0 preparing 0:00:35.2 reading 0:00:01.1 interpolation 0:00:00.0 interpolation_time 0:00:00.1 rotating vectors 0:00:00.0 masking -------------------- Performance: 1:41.1 total time 6.3 configuration 0.2 preparing main loop 0.0 moving elements to ocean 1:34.5 main loop 3.7 updating elements 3.6 vertical mixing 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  67.597885

  geospatial_lat_max :

  68.41706

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  12.304344

  geospatial_lon_max :

  14.129527

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:01:41.195705

  geospatial_vertical_min :

  -51.203415

  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
 0:00:48.6  total
 0:00:00.0  preparing
 0:00:48.5  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
 0:00:35.3  total
 0:00:00.0  preparing
 0:00:35.2  reading
 0:00:01.1  interpolation
 0:00:00.0  interpolation_time
 0:00:00.1  rotating vectors
 0:00:00.0  masking
--------------------
Performance:
 1:41.1 total time
    6.3 configuration
    0.2 preparing main loop
      0.0 moving elements to ocean
 1:34.5 main loop
      3.7 updating elements
        3.6 vertical mixing
    0.0 cleaning up
--------------------
===========================
Model:  PelagicEggDrift     (OpenDrift version 1.14.10)
        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: 2026-08-21 16:23:29.085918 UTC
        Present: 2026-08-23 16:23:29.085918 UTC
        Calculation steps: 48 * 1:00:00 - total time: 2 days, 0:00:00
        Output steps: 49 * 1:00:00
===========================

16:25:10 WARNING opendrift:2589: Plotting fast. This will make your plots less accurate.
16:25:18 WARNING opendrift:2589: Plotting fast. This will make your plots less accurate.
16:25:19 INFO    opendrift:4799: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_0.gif...
16:25:42 INFO    opendrift:3217: Time to make animation: 0:00:24.764735

o.animate_vertical_distribution()

16:25:44 INFO    opendrift:4799: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_1.gif...
16:25:54 INFO    opendrift.models.oceandrift:644: Time to make animation: 0:00:09.912687