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'])

17:10:35 INFO    opendrift:569: OpenDriftSimulation initialised (version 1.14.11 / v1.14.12-66-g07283eb)

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)

17:10:35 INFO    opendrift.models.basemodel.environment:203: Adding a global landmask from GSHHG
17:10:41 INFO    opendrift.models.basemodel.environment:227: Fallback values will be used for the following variables which have no readers:
17:10:41 INFO    opendrift.models.basemodel.environment:230:    x_sea_water_velocity: 0.000000
17:10:41 INFO    opendrift.models.basemodel.environment:230:    y_sea_water_velocity: 0.000000
17:10:41 INFO    opendrift.models.basemodel.environment:230:    sea_surface_height: 0.000000
17:10:41 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_significant_height: 0.000000
17:10:41 INFO    opendrift.models.basemodel.environment:230:    sea_ice_area_fraction: 0.000000
17:10:41 INFO    opendrift.models.basemodel.environment:230:    x_wind: 0.000000
17:10:41 INFO    opendrift.models.basemodel.environment:230:    y_wind: 0.000000
17:10:41 INFO    opendrift.models.basemodel.environment:230:    sea_floor_depth_below_sea_level: 100.000000
17:10:41 INFO    opendrift.models.basemodel.environment:230:    ocean_vertical_diffusivity: 0.020000
17:10:41 INFO    opendrift.models.basemodel.environment:230:    ocean_mixed_layer_thickness: 50.000000
17:10:41 INFO    opendrift.models.basemodel.environment:230:    sea_water_temperature: 10.000000
17:10:41 INFO    opendrift.models.basemodel.environment:230:    sea_water_salinity: 34.000000
17:10:41 INFO    opendrift.models.basemodel.environment:230:    surface_downward_x_stress: 0.000000
17:10:41 INFO    opendrift.models.basemodel.environment:230:    surface_downward_y_stress: 0.000000
17:10:41 INFO    opendrift.models.basemodel.environment:230:    turbulent_kinetic_energy: 0.000000
17:10:41 INFO    opendrift.models.basemodel.environment:230:    turbulent_generic_length_scale: 0.000000
17:10:41 INFO    opendrift.models.basemodel.environment:230:    upward_sea_water_velocity: 0.000000

Running model

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

17:10:41 INFO    opendrift:1922: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
17:10:41 INFO    opendrift:1922: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
17:10:42 INFO    opendrift:958: Using existing reader for land_binary_mask to move elements to ocean
17:10:42 INFO    opendrift:990: All points are in ocean
17:10:42 INFO    opendrift:2238: 2026-10-26 17:10:35.993713 - step 1 of 48 - 2000 active elements (0 deactivated)
17:10:42 INFO    opendrift.readers:67: Opening file with xr.open_dataset
17:10:45 INFO    opendrift.readers.reader_netCDF_CF_generic:340: Detected dimensions: {'x': 'x', 'y': 'y', 'time': 'time'}
17:10:45 INFO    opendrift.readers:67: Opening file with xr.open_dataset
17:10:46 INFO    opendrift.readers.reader_netCDF_CF_generic:340: Detected dimensions: {'time': 'time', 'x': 'x', 'y': 'y'}
17:10:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:49 INFO    opendrift:2238: 2026-10-26 18:10:35.993713 - step 2 of 48 - 2000 active elements (0 deactivated)
17:10:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:51 INFO    opendrift:2238: 2026-10-26 19:10:35.993713 - step 3 of 48 - 2000 active elements (0 deactivated)
17:10:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:53 INFO    opendrift:2238: 2026-10-26 20:10:35.993713 - step 4 of 48 - 2000 active elements (0 deactivated)
17:10:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:55 INFO    opendrift:2238: 2026-10-26 21:10:35.993713 - step 5 of 48 - 2000 active elements (0 deactivated)
17:10:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:57 INFO    opendrift:2238: 2026-10-26 22:10:35.993713 - step 6 of 48 - 2000 active elements (0 deactivated)
17:11:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:00 INFO    opendrift:2238: 2026-10-26 23:10:35.993713 - step 7 of 48 - 2000 active elements (0 deactivated)
17:11:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:03 INFO    opendrift:2238: 2026-10-27 00:10:35.993713 - step 8 of 48 - 2000 active elements (0 deactivated)
17:11:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:05 INFO    opendrift:2238: 2026-10-27 01:10:35.993713 - step 9 of 48 - 2000 active elements (0 deactivated)
17:11:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:06 INFO    opendrift:2238: 2026-10-27 02:10:35.993713 - step 10 of 48 - 2000 active elements (0 deactivated)
17:11:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:08 INFO    opendrift:2238: 2026-10-27 03:10:35.993713 - step 11 of 48 - 2000 active elements (0 deactivated)
17:11:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:10 INFO    opendrift:2238: 2026-10-27 04:10:35.993713 - step 12 of 48 - 2000 active elements (0 deactivated)
17:11:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:12 INFO    opendrift:2238: 2026-10-27 05:10:35.993713 - step 13 of 48 - 2000 active elements (0 deactivated)
17:11:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:15 INFO    opendrift:2238: 2026-10-27 06:10:35.993713 - step 14 of 48 - 2000 active elements (0 deactivated)
17:11:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:16 INFO    opendrift:2238: 2026-10-27 07:10:35.993713 - step 15 of 48 - 2000 active elements (0 deactivated)
17:11:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:18 INFO    opendrift:2238: 2026-10-27 08:10:35.993713 - step 16 of 48 - 2000 active elements (0 deactivated)
17:11:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:20 INFO    opendrift:2238: 2026-10-27 09:10:35.993713 - step 17 of 48 - 2000 active elements (0 deactivated)
17:11:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:23 INFO    opendrift:2238: 2026-10-27 10:10:35.993713 - step 18 of 48 - 2000 active elements (0 deactivated)
17:11:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:25 INFO    opendrift:2238: 2026-10-27 11:10:35.993713 - step 19 of 48 - 2000 active elements (0 deactivated)
17:11:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:27 INFO    opendrift:2238: 2026-10-27 12:10:35.993713 - step 20 of 48 - 2000 active elements (0 deactivated)
17:11:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:29 INFO    opendrift:2238: 2026-10-27 13:10:35.993713 - step 21 of 48 - 2000 active elements (0 deactivated)
17:11:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:31 INFO    opendrift:2238: 2026-10-27 14:10:35.993713 - step 22 of 48 - 2000 active elements (0 deactivated)
17:11:33 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:33 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:33 INFO    opendrift:2238: 2026-10-27 15:10:35.993713 - step 23 of 48 - 2000 active elements (0 deactivated)
17:11:35 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:35 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:35 INFO    opendrift:2238: 2026-10-27 16:10:35.993713 - step 24 of 48 - 2000 active elements (0 deactivated)
17:11:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:37 INFO    opendrift:2238: 2026-10-27 17:10:35.993713 - step 25 of 48 - 2000 active elements (0 deactivated)
17:11:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:39 INFO    opendrift:2238: 2026-10-27 18:10:35.993713 - step 26 of 48 - 2000 active elements (0 deactivated)
17:11:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:41 INFO    opendrift:2238: 2026-10-27 19:10:35.993713 - step 27 of 48 - 2000 active elements (0 deactivated)
17:11:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:43 INFO    opendrift:2238: 2026-10-27 20:10:35.993713 - step 28 of 48 - 2000 active elements (0 deactivated)
17:11:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:45 INFO    opendrift:2238: 2026-10-27 21:10:35.993713 - step 29 of 48 - 2000 active elements (0 deactivated)
17:11:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:47 INFO    opendrift:2238: 2026-10-27 22:10:35.993713 - step 30 of 48 - 2000 active elements (0 deactivated)
17:11:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:48 INFO    opendrift:2238: 2026-10-27 23:10:35.993713 - step 31 of 48 - 2000 active elements (0 deactivated)
17:11:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:50 INFO    opendrift:2238: 2026-10-28 00:10:35.993713 - step 32 of 48 - 2000 active elements (0 deactivated)
17:11:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:53 INFO    opendrift:2238: 2026-10-28 01:10:35.993713 - step 33 of 48 - 2000 active elements (0 deactivated)
17:11:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:55 INFO    opendrift:2238: 2026-10-28 02:10:35.993713 - step 34 of 48 - 2000 active elements (0 deactivated)
17:11:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:11:57 INFO    opendrift:2238: 2026-10-28 03:10:35.993713 - step 35 of 48 - 2000 active elements (0 deactivated)
17:12:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:12:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:12:00 INFO    opendrift:2238: 2026-10-28 04:10:35.993713 - step 36 of 48 - 2000 active elements (0 deactivated)
17:12:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:12:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:12:02 INFO    opendrift:2238: 2026-10-28 05:10:35.993713 - step 37 of 48 - 2000 active elements (0 deactivated)
17:12:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:12:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:12:05 INFO    opendrift:2238: 2026-10-28 06:10:35.993713 - step 38 of 48 - 2000 active elements (0 deactivated)
17:12:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:12:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:12:07 INFO    opendrift:2238: 2026-10-28 07:10:35.993713 - step 39 of 48 - 2000 active elements (0 deactivated)
17:12:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:12:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:12:09 INFO    opendrift:2238: 2026-10-28 08:10:35.993713 - step 40 of 48 - 2000 active elements (0 deactivated)
17:12:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:12:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:12:11 INFO    opendrift:2238: 2026-10-28 09:10:35.993713 - step 41 of 48 - 2000 active elements (0 deactivated)
17:12:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:12:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:12:13 INFO    opendrift:2238: 2026-10-28 10:10:35.993713 - step 42 of 48 - 2000 active elements (0 deactivated)
17:12:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:12:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:12:16 INFO    opendrift:2238: 2026-10-28 11:10:35.993713 - step 43 of 48 - 2000 active elements (0 deactivated)
17:12:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:12:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:12:18 INFO    opendrift:2238: 2026-10-28 12:10:35.993713 - step 44 of 48 - 2000 active elements (0 deactivated)
17:12:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:12:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:12:20 INFO    opendrift:2238: 2026-10-28 13:10:35.993713 - step 45 of 48 - 2000 active elements (0 deactivated)
17:12:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:12:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:12:22 INFO    opendrift:2238: 2026-10-28 14:10:35.993713 - step 46 of 48 - 2000 active elements (0 deactivated)
17:12:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:12:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:12:25 INFO    opendrift:2238: 2026-10-28 15:10:35.993713 - step 47 of 48 - 2000 active elements (0 deactivated)
17:12:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:12:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:12:27 INFO    opendrift:2238: 2026-10-28 16:10:35.993713 - step 48 of 48 - 2000 active elements (0 deactivated)
17:12:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:12:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor

<xarray.Dataset> Size: 13MB
Dimensions:                              (trajectory: 2000, time: 49)
Coordinates:
  * trajectory                           (trajectory) int64 16kB 0 1 ... 1999
  * time                                 (time) datetime64[ns] 392B 2026-10-2...
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:                                                          0:01:53...
    geospatial_vertical_min:                                          -53.39483
    geospatial_vertical_max:                                          0.0
    geospatial_vertical_positive:                                     up

xarray.Dataset

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

    cf_role :

    trajectory_id

    dtype :

    <class 'numpy.int32'>

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

  • time
    (time)
    datetime64[ns]
    2026-10-26T17:10:35.993713 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2026-10-26T17:10:35.993713000', '2026-10-26T18:10:35.993713000',
           '2026-10-26T19:10:35.993713000', '2026-10-26T20:10:35.993713000',
           '2026-10-26T21:10:35.993713000', '2026-10-26T22:10:35.993713000',
           '2026-10-26T23:10:35.993713000', '2026-10-27T00:10:35.993713000',
           '2026-10-27T01:10:35.993713000', '2026-10-27T02:10:35.993713000',
           '2026-10-27T03:10:35.993713000', '2026-10-27T04:10:35.993713000',
           '2026-10-27T05:10:35.993713000', '2026-10-27T06:10:35.993713000',
           '2026-10-27T07:10:35.993713000', '2026-10-27T08:10:35.993713000',
           '2026-10-27T09:10:35.993713000', '2026-10-27T10:10:35.993713000',
           '2026-10-27T11:10:35.993713000', '2026-10-27T12:10:35.993713000',
           '2026-10-27T13:10:35.993713000', '2026-10-27T14:10:35.993713000',
           '2026-10-27T15:10:35.993713000', '2026-10-27T16:10:35.993713000',
           '2026-10-27T17:10:35.993713000', '2026-10-27T18:10:35.993713000',
           '2026-10-27T19:10:35.993713000', '2026-10-27T20:10:35.993713000',
           '2026-10-27T21:10:35.993713000', '2026-10-27T22:10:35.993713000',
           '2026-10-27T23:10:35.993713000', '2026-10-28T00:10:35.993713000',
           '2026-10-28T01:10:35.993713000', '2026-10-28T02:10:35.993713000',
           '2026-10-28T03:10:35.993713000', '2026-10-28T04:10:35.993713000',
           '2026-10-28T05:10:35.993713000', '2026-10-28T06:10:35.993713000',
           '2026-10-28T07:10:35.993713000', '2026-10-28T08:10:35.993713000',
           '2026-10-28T09:10:35.993713000', '2026-10-28T10:10:35.993713000',
           '2026-10-28T11:10:35.993713000', '2026-10-28T12:10:35.993713000',
           '2026-10-28T13:10:35.993713000', '2026-10-28T14:10:35.993713000',
           '2026-10-28T15:10:35.993713000', '2026-10-28T16:10:35.993713000',
           '2026-10-28T17:10:35.993713000'], dtype='datetime64[ns]')

• Data variables: (32)
  • status
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

    dtype :

    <class 'numpy.int32'>

    valid_range :

    [0 0]

    flag_values :

    [0]

    flag_meanings :

    active

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

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

    dtype :

    <class 'numpy.int32'>

    minval :

    1

    maxval :

    1

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

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

    dtype :

    <class 'numpy.float32'>

    units :

    s

    minval :

    0.0

    maxval :

    172800.0

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

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

    dtype :

    <class 'numpy.int32'>

    unit :

    description :

    An integer kept constant during the simulation. Different values may be used for different seedings, to separate elements during analysis. With GUI, only a single seeding is possible.

    flag_values :

    [0 1 2 3]

    flag_meanings :

    Seed_0 Seed_1 Seed_2 Seed_3

    minval :

    0

    maxval :

    3

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

  • lon
    (trajectory, time)
    float32
    14.08 14.09 14.1 ... 12.89 12.89

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    12.35679

    maxval :

    14.328647

    array([[14.084752 , 14.088537 , 14.095726 , ..., 14.215738 , 14.215738 ,
            14.215738 ],
           [14.019218 , 14.02381  , 14.031678 , ..., 14.200375 , 14.21249  ,
            14.226985 ],
           [14.047049 , 14.051597 , 14.059244 , ..., 14.207502 , 14.213739 ,
            14.213739 ],
           ...,
           [13.055853 , 13.050815 , 13.056523 , ..., 13.03906  , 13.031104 ,
            13.029366 ],
           [13.005157 , 13.013155 , 13.034405 , ..., 13.125855 , 13.127588 ,
            13.134441 ],
           [13.002091 , 13.001691 , 13.0121155, ..., 12.900267 , 12.892351 ,
            12.890475 ]], shape=(2000, 49), dtype=float32)

  • lat
    (trajectory, time)
    float32
    68.11 68.11 68.11 ... 67.72 67.72

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    67.58377

    maxval :

    68.64228

    array([[68.10684 , 68.10762 , 68.1085  , ..., 68.16424 , 68.16424 ,
            68.16424 ],
           [68.09939 , 68.10035 , 68.10141 , ..., 68.15027 , 68.152374,
            68.15368 ],
           [68.11965 , 68.12062 , 68.121605, ..., 68.21131 , 68.217964,
            68.217964],
           ...,
           [67.79944 , 67.7978  , 67.79539 , ..., 67.7892  , 67.79288 ,
            67.79645 ],
           [67.82828 , 67.82955 , 67.82888 , ..., 67.921234, 67.922905,
            67.925354],
           [67.78542 , 67.78347 , 67.77993 , ..., 67.712906, 67.71711 ,
            67.721565]], shape=(2000, 49), dtype=float32)

  • z
    (trajectory, time)
    float32
    -40.0 -49.63 ... -29.75 -34.95

    dtype :

    <class 'numpy.float32'>

    units :

    m

    standard_name :

    z

    long_name :

    vertical position

    axis :

    Z

    positive :

    up

    minval :

    -53.39483

    maxval :

    0.0

    array([[-40.        , -49.627323  , -44.474266  , ...,  -5.40183   ,
             -2.1186736 ,  -1.3763634 ],
           [-40.        , -45.169792  , -45.371414  , ..., -17.730381  ,
            -15.907596  , -45.948383  ],
           [-40.        , -28.566053  , -12.838679  , ..., -15.24361   ,
             -0.39520296, -14.137908  ],
           ...,
           [-40.        , -37.976044  , -34.928974  , ..., -40.498875  ,
            -43.998337  , -44.520866  ],
           [-40.        , -30.062815  , -16.980091  , ..., -27.21018   ,
             -1.5540051 , -11.04654   ],
           [-40.        , -41.274334  , -25.791365  , ..., -52.843487  ,
            -29.753798  , -34.948673  ]], 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
    0.04377 0.08312 ... -0.02205

    minval :

    -1.0973258

    maxval :

    0.7684743

    array([[ 0.04377077,  0.08312089,  0.11071468, ...,  0.12147302,
             0.15786593,  0.15786593],
           [ 0.05310867,  0.09101006,  0.11668376, ...,  0.13982071,
             0.16726822,  0.16726822],
           [ 0.05255703,  0.08837609,  0.11464752, ...,  0.0861276 ,
             0.09829079,  0.09829079],
           ...,
           [-0.05903971,  0.06690229,  0.1326596 , ..., -0.09323841,
            -0.02037619, -0.02037619],
           [ 0.09359062,  0.24868001,  0.28882325, ...,  0.02019454,
             0.07987099,  0.07987099],
           [-0.00469171,  0.12224462,  0.17323883, ..., -0.09307698,
            -0.02204733, -0.02204733]], shape=(2000, 49), dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    0.02415 0.0272 ... 0.1379 0.1379

    minval :

    -0.3266253

    maxval :

    1.0557851

    array([[ 0.0241543 ,  0.02719831,  0.04265043, ...,  0.05366297,
             0.01553276,  0.01553276],
           [ 0.0297307 ,  0.0328429 ,  0.0462635 , ...,  0.06527311,
             0.04039561,  0.04039561],
           [ 0.03008865,  0.03048238,  0.04500421, ...,  0.20628817,
             0.11511648,  0.11511648],
           ...,
           [-0.05084538, -0.07471798, -0.0819283 , ...,  0.11403801,
             0.11062875,  0.11062875],
           [ 0.03943961, -0.020637  , -0.05417102, ...,  0.05171729,
             0.07592343,  0.07592343],
           [-0.06057753, -0.10957801, -0.13614337, ...,  0.13032772,
             0.13786401,  0.13786401]], shape=(2000, 49), dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    -1.169 -1.108 ... 0.007409 0.007409

    minval :

    -1.4639918

    maxval :

    1.6521204

    array([[-1.169481  , -1.1084757 , -0.70542324, ...,  0.681692  ,
             0.01996465,  0.01996465],
           [-1.1658028 , -1.1050168 , -0.70340633, ...,  0.67881095,
             0.01826234,  0.01826234],
           [-1.168098  , -1.1083659 , -0.706981  , ...,  0.6984834 ,
             0.05016074,  0.05016074],
           ...,
           [-1.0906005 , -1.0244448 , -0.6579958 , ...,  0.6237328 ,
             0.02337016,  0.02337016],
           [-1.0758343 , -1.0205705 , -0.664091  , ...,  0.6685703 ,
             0.04599846,  0.04599846],
           [-1.0828687 , -1.0162319 , -0.65198517, ...,  0.5969411 ,
             0.00740897,  0.00740897]], shape=(2000, 49), dtype=float32)

  • sea_surface_wave_significant_height
    (trajectory, time)
    float32
    0.9424 1.094 0.9531 ... 6.822 6.822

    minval :

    0.008403244

    maxval :

    10.182662

    array([[0.94237345, 1.0939407 , 0.9530826 , ..., 3.9147995 , 3.6290274 ,
            3.6290274 ],
           [0.9568952 , 1.4817555 , 1.2734449 , ..., 5.356236  , 5.8551974 ,
            5.8551974 ],
           [0.5187026 , 0.7393486 , 1.7196198 , ..., 5.1686196 , 4.645255  ,
            4.645255  ],
           ...,
           [1.3649322 , 1.5109121 , 1.605647  , ..., 6.666217  , 6.6313787 ,
            6.6313787 ],
           [0.4035018 , 0.31073308, 0.48626372, ..., 5.6916256 , 5.7225714 ,
            5.7225714 ],
           [1.1922392 , 1.1206781 , 1.06794   , ..., 6.3829236 , 6.822292  ,
            6.822292  ]], shape=(2000, 49), dtype=float32)

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

    minval :

    0.0

    maxval :

    0.0

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

  • x_wind
    (trajectory, time)
    float32
    -2.021 -1.159 ... 5.133 5.133

    minval :

    -9.247608

    maxval :

    9.848934

    array([[-2.0210376 , -1.1585019 , -1.5610737 , ...,  3.7215726 ,
             5.2009435 ,  5.2009435 ],
           [-1.3617064 , -0.33661768, -0.76720834, ...,  5.54565   ,
             5.743144  ,  5.743144  ],
           [-3.4685328 , -1.9462872 , -0.11387518, ...,  3.2646782 ,
             2.8429217 ,  2.8429217 ],
           ...,
           [-2.4202285 , -0.6826186 , -1.4236006 , ...,  4.28385   ,
             3.9322674 ,  3.9322674 ],
           [-0.9848697 , -1.1728075 , -2.1743555 , ...,  5.2897415 ,
             5.378182  ,  5.378182  ],
           [-0.1287243 , -1.4568269 , -2.1838372 , ...,  5.79353   ,
             5.133116  ,  5.133116  ]], shape=(2000, 49), dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    5.85 6.567 6.025 ... 15.84 15.84

    minval :

    -2.5864162

    maxval :

    19.53771

    array([[ 5.850066 ,  6.5671163,  6.0254664, ..., 12.053552 , 10.975958 ,
            10.975958 ],
           [ 6.086373 ,  7.7537513,  7.153841 , ..., 13.674024 , 14.318954 ,
            14.318954 ],
           [ 3.0091121,  5.1251135,  8.360041 , ..., 14.122619 , 13.444304 ,
            13.444304 ],
           ...,
           [ 7.044682 ,  7.8072543,  7.952582 , ..., 15.894436 , 15.940686 ,
            15.940686 ],
           [ 3.9284277,  3.3549888,  3.8780148, ..., 14.26133  , 14.272352 ,
            14.272352 ],
           [ 6.960491 ,  6.5904226,  6.2163534, ..., 15.030086 , 15.842349 ,
            15.842349 ]], 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 91.21 90.75 ... 122.8 122.8

    minval :

    13.677991

    maxval :

    215.84897

    array([[ 91.59824 ,  91.2092  ,  90.7467  , ...,  40.224968,  41.162224,
             41.162224],
           [ 94.49005 ,  94.76865 ,  94.99066 , ...,  46.639496,  47.42585 ,
             47.42585 ],
           [ 86.55401 ,  86.00209 ,  85.37304 , ...,  22.912624,  20.925882,
             20.925882],
           ...,
           [131.81262 , 131.09741 , 134.08852 , ..., 131.79572 , 127.43677 ,
            127.43677 ],
           [ 97.5854  ,  99.3969  , 106.040146, ...,  81.08638 ,  80.54943 ,
             80.54943 ],
           [122.130585, 123.026794, 128.41255 , ..., 129.85796 , 122.80582 ,
            122.80582 ]], shape=(2000, 49), dtype=float32)

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

    minval :

    0.02

    maxval :

    0.02

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

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

    minval :

    50.0

    maxval :

    50.0

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

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

    minval :

    10.0

    maxval :

    10.0

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

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

    minval :

    34.0

    maxval :

    34.0

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

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

    minval :

    0.0

    maxval :

    0.0

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

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

    minval :

    0.0

    maxval :

    0.0

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

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

    minval :

    0.0

    maxval :

    0.0

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

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

    minval :

    0.0

    maxval :

    0.0

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

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

    minval :

    0.0

    maxval :

    0.0

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

• Attributes: (139)

  Conventions :

  CF-1.11, ACDD-1.3

  standard_name_vocabulary :

  CF Standard Name Table v85

  featureType :

  trajectory

  title :

  OpenDrift trajectory simulation

  summary :

  Output from simulation with OpenDrift framework

  keywords :

  trajectory, drift, lagrangian, simulation

  history :

  Created 2026-10-26 17:10:41.820922

  date_created :

  2026-10-26T17:10:41.820931

  source :

  Output from simulation with OpenDrift

  model_url :

  https://github.com/OpenDrift/opendrift

  opendrift_class :

  PelagicEggDrift

  opendrift_module :

  opendrift.models.pelagicegg

  readers :

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

  time_coverage_start :

  2026-10-26 17:10:35.993713

  time_step_calculation :

  1:00:00

  time_step_output :

  1:00:00

  config_environment:constant:x_sea_water_velocity :

  None

  config_environment:fallback:x_sea_water_velocity :

  0

  config_environment:constant:y_sea_water_velocity :

  None

  config_environment:fallback:y_sea_water_velocity :

  0

  config_environment:constant:sea_surface_height :

  None

  config_environment:fallback:sea_surface_height :

  0

  config_environment:constant:sea_surface_wave_significant_height :

  None

  config_environment:fallback:sea_surface_wave_significant_height :

  0

  config_environment:constant:sea_ice_area_fraction :

  None

  config_environment:fallback:sea_ice_area_fraction :

  0

  config_environment:constant:x_wind :

  None

  config_environment:fallback:x_wind :

  0

  config_environment:constant:y_wind :

  None

  config_environment:fallback:y_wind :

  0

  config_environment:constant:land_binary_mask :

  None

  config_environment:fallback:land_binary_mask :

  None

  config_environment:constant:sea_floor_depth_below_sea_level :

  None

  config_environment:fallback:sea_floor_depth_below_sea_level :

  100

  config_environment:constant:ocean_vertical_diffusivity :

  None

  config_environment:fallback:ocean_vertical_diffusivity :

  0.02

  config_environment:constant:ocean_mixed_layer_thickness :

  None

  config_environment:fallback:ocean_mixed_layer_thickness :

  50

  config_environment:constant:sea_water_temperature :

  None

  config_environment:fallback:sea_water_temperature :

  10

  config_environment:constant:sea_water_salinity :

  None

  config_environment:fallback:sea_water_salinity :

  34

  config_environment:constant:surface_downward_x_stress :

  None

  config_environment:fallback:surface_downward_x_stress :

  0

  config_environment:constant:surface_downward_y_stress :

  None

  config_environment:fallback:surface_downward_y_stress :

  0

  config_environment:constant:turbulent_kinetic_energy :

  None

  config_environment:fallback:turbulent_kinetic_energy :

  0

  config_environment:constant:turbulent_generic_length_scale :

  None

  config_environment:fallback:turbulent_generic_length_scale :

  0

  config_environment:constant:upward_sea_water_velocity :

  None

  config_environment:fallback:upward_sea_water_velocity :

  0

  config_general:use_auto_landmask :

  True

  config_drift:current_uncertainty :

  0

  config_drift:current_uncertainty_uniform :

  0

  config_drift:max_speed :

  2.0

  config_readers:max_number_of_fails :

  1

  config_general:simulation_name :

  config_general:coastline_action :

  previous

  config_general:coastline_approximation_precision :

  0.001

  config_general:time_step_minutes :

  60

  config_general:time_step_output_minutes :

  None

  config_seed:ocean_only :

  True

  config_seed:number :

  1

  config_drift:max_age_seconds :

  None

  config_drift:advection_scheme :

  euler

  config_drift:profiles_depth :

  50

  config_drift:wind_uncertainty :

  0

  config_drift:relative_wind :

  False

  config_drift:deactivate_north_of :

  None

  config_drift:deactivate_south_of :

  None

  config_drift:deactivate_east_of :

  None

  config_drift:deactivate_west_of :

  None

  config_seed:origin_marker :

  0

  config_seed:z :

  0

  config_seed:wind_drift_factor :

  0.02

  config_seed:current_drift_factor :

  1

  config_seed:terminal_velocity :

  0.0

  config_seed:diameter :

  0.0014

  config_seed:neutral_buoyancy_salinity :

  31.25

  config_seed:density :

  1028.0

  config_seed:hatched :

  0.0

  config_drift:vertical_advection :

  True

  config_drift:vertical_advection_at_surface :

  True

  config_drift:water_column_stretching :

  False

  config_drift:vertical_advection_correction :

  False

  config_drift:vertical_mixing :

  True

  config_drift:vertical_mixing_at_surface :

  True

  config_vertical_mixing:timestep :

  60.0

  config_vertical_mixing:diffusivitymodel :

  windspeed_Sundby1983

  config_vertical_mixing:background_diffusivity :

  1.2e-05

  config_vertical_mixing:TSprofiles :

  False

  config_drift:wind_drift_depth :

  0.1

  config_drift:stokes_drift :

  True

  config_drift:stokes_drift_profile :

  Phillips

  config_drift:use_tabularised_stokes_drift :

  False

  config_drift:tabularised_stokes_drift_fetch :

  25000

  config_general:seafloor_action :

  lift_to_seafloor

  config_drift:truncate_ocean_model_below_m :

  None

  config_seed:seafloor :

  False

  opendrift_version :

  1.14.11

  seed_geojson :

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

  simulation_time :

  2026-10-26 17:10:42.045129

  reader_x_sea_water_velocity :

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

  reader_y_sea_water_velocity :

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

  reader_sea_surface_height :

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

  reader_sea_surface_wave_significant_height :

  0

  reader_sea_ice_area_fraction :

  0

  reader_x_wind :

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

  reader_y_wind :

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

  reader_land_binary_mask :

  ['global_landmask']

  reader_sea_floor_depth_below_sea_level :

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

  reader_ocean_vertical_diffusivity :

  0.02

  reader_ocean_mixed_layer_thickness :

  50

  reader_sea_water_temperature :

  10

  reader_sea_water_salinity :

  34

  reader_surface_downward_x_stress :

  0

  reader_surface_downward_y_stress :

  0

  reader_turbulent_kinetic_energy :

  0

  reader_turbulent_generic_length_scale :

  0

  reader_upward_sea_water_velocity :

  0

  time_coverage_end :

  2026-10-28 17:10:35.993713

  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 0:00:53.3 total 0:00:00.0 preparing 0:00:53.2 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 0:00:43.4 total 0:00:00.0 preparing 0:00:43.3 reading 0:00:00.9 interpolation 0:00:00.0 interpolation_time 0:00:00.1 rotating vectors 0:00:00.0 masking -------------------- Performance: 1:53.8 total time 5.8 configuration 0.2 preparing main loop 0.0 moving elements to ocean 1:47.7 main loop 3.3 updating elements 3.2 vertical mixing 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  67.58377

  geospatial_lat_max :

  68.64228

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  12.35679

  geospatial_lon_max :

  14.328647

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:01:53.888424

  geospatial_vertical_min :

  -53.39483

  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
 0:00:53.3  total
 0:00:00.0  preparing
 0:00:53.2  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
 0:00:43.4  total
 0:00:00.0  preparing
 0:00:43.3  reading
 0:00:00.9  interpolation
 0:00:00.0  interpolation_time
 0:00:00.1  rotating vectors
 0:00:00.0  masking
--------------------
Performance:
 1:53.8 total time
    5.8 configuration
    0.2 preparing main loop
      0.0 moving elements to ocean
 1:47.7 main loop
      3.3 updating elements
        3.2 vertical mixing
    0.0 cleaning up
--------------------
===========================
Model:  PelagicEggDrift     (OpenDrift version 1.14.11)
        2000 active PelagicEgg particles  (0 deactivated, 0 scheduled)
-------------------
Environment variables:
  -----
  land_binary_mask
     1) global_landmask
  -----
  sea_floor_depth_below_sea_level
  sea_surface_height
  x_sea_water_velocity
  y_sea_water_velocity
     1) https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
  -----
  x_wind
  y_wind
     1) https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc
  -----
Readers not added for the following variables:
  ocean_mixed_layer_thickness
  ocean_vertical_diffusivity
  sea_ice_area_fraction
  sea_surface_wave_significant_height
  sea_water_salinity
  sea_water_temperature
  surface_downward_x_stress
  surface_downward_y_stress
  turbulent_generic_length_scale
  turbulent_kinetic_energy
  upward_sea_water_velocity

Discarded readers:

Time:
        Start: 2026-10-26 17:10:35.993713 UTC
        Present: 2026-10-28 17:10:35.993713 UTC
        Calculation steps: 48 * 1:00:00 - total time: 2 days, 0:00:00
        Output steps: 49 * 1:00:00
===========================

17:12:29 WARNING opendrift:2614: Plotting fast. This will make your plots less accurate.
17:12:34 WARNING opendrift:2614: Plotting fast. This will make your plots less accurate.
17:12:35 INFO    opendrift:4889: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_0.gif...
17:12:52 INFO    opendrift:3297: Time to make animation: 0:00:18.915418

o.animate_vertical_distribution()

17:12:54 INFO    opendrift:4889: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_1.gif...
17:13:06 INFO    opendrift.models.oceandrift:644: Time to make animation: 0:00:12.090859