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'])

14:19:24 INFO    opendrift:568: OpenDriftSimulation initialised (version 1.14.9 / v1.14.9-43-g22dbf7d)

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)

14:19:24 INFO    opendrift.models.basemodel.environment:203: Adding a global landmask from GSHHG
14:19:28 INFO    opendrift.models.basemodel.environment:227: Fallback values will be used for the following variables which have no readers:
14:19:28 INFO    opendrift.models.basemodel.environment:230:    x_sea_water_velocity: 0.000000
14:19:28 INFO    opendrift.models.basemodel.environment:230:    y_sea_water_velocity: 0.000000
14:19:28 INFO    opendrift.models.basemodel.environment:230:    sea_surface_height: 0.000000
14:19:28 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_significant_height: 0.000000
14:19:28 INFO    opendrift.models.basemodel.environment:230:    sea_ice_area_fraction: 0.000000
14:19:28 INFO    opendrift.models.basemodel.environment:230:    x_wind: 0.000000
14:19:28 INFO    opendrift.models.basemodel.environment:230:    y_wind: 0.000000
14:19:28 INFO    opendrift.models.basemodel.environment:230:    sea_floor_depth_below_sea_level: 100.000000
14:19:28 INFO    opendrift.models.basemodel.environment:230:    ocean_vertical_diffusivity: 0.020000
14:19:28 INFO    opendrift.models.basemodel.environment:230:    ocean_mixed_layer_thickness: 50.000000
14:19:28 INFO    opendrift.models.basemodel.environment:230:    sea_water_temperature: 10.000000
14:19:28 INFO    opendrift.models.basemodel.environment:230:    sea_water_salinity: 34.000000
14:19:28 INFO    opendrift.models.basemodel.environment:230:    surface_downward_x_stress: 0.000000
14:19:28 INFO    opendrift.models.basemodel.environment:230:    surface_downward_y_stress: 0.000000
14:19:28 INFO    opendrift.models.basemodel.environment:230:    turbulent_kinetic_energy: 0.000000
14:19:28 INFO    opendrift.models.basemodel.environment:230:    turbulent_generic_length_scale: 0.000000
14:19:28 INFO    opendrift.models.basemodel.environment:230:    upward_sea_water_velocity: 0.000000

Running model

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

14:19:28 INFO    opendrift:1905: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
14:19:28 INFO    opendrift:1905: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
14:19:28 INFO    opendrift:947: Using existing reader for land_binary_mask to move elements to ocean
14:19:28 INFO    opendrift:978: All points are in ocean
14:19:28 INFO    opendrift:2202: 2026-04-21 14:19:24.300040 - step 1 of 48 - 2000 active elements (0 deactivated)
14:19:28 INFO    opendrift.readers:64: Opening file with xr.open_dataset
14:19:31 INFO    opendrift.readers.reader_netCDF_CF_generic:340: Detected dimensions: {'x': 'x', 'y': 'y', 'time': 'time'}
14:19:31 INFO    opendrift.readers:64: Opening file with xr.open_dataset
14:19:32 INFO    opendrift.readers.reader_netCDF_CF_generic:340: Detected dimensions: {'time': 'time', 'x': 'x', 'y': 'y'}
14:19:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:19:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:19:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:19:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:19:35 INFO    opendrift:2202: 2026-04-21 15:19:24.300040 - step 2 of 48 - 2000 active elements (0 deactivated)
14:19:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:19:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:19:39 INFO    opendrift:2202: 2026-04-21 16:19:24.300040 - step 3 of 48 - 2000 active elements (0 deactivated)
14:19:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:19:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:19:43 INFO    opendrift:2202: 2026-04-21 17:19:24.300040 - step 4 of 48 - 2000 active elements (0 deactivated)
14:19:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:19:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:19:45 INFO    opendrift:2202: 2026-04-21 18:19:24.300040 - step 5 of 48 - 2000 active elements (0 deactivated)
14:19:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:19:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:19:48 INFO    opendrift:2202: 2026-04-21 19:19:24.300040 - step 6 of 48 - 2000 active elements (0 deactivated)
14:19:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:19:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:19:50 INFO    opendrift:2202: 2026-04-21 20:19:24.300040 - step 7 of 48 - 2000 active elements (0 deactivated)
14:19:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:19:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:19:53 INFO    opendrift:2202: 2026-04-21 21:19:24.300040 - step 8 of 48 - 2000 active elements (0 deactivated)
14:19:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:19:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:19:55 INFO    opendrift:2202: 2026-04-21 22:19:24.300040 - step 9 of 48 - 2000 active elements (0 deactivated)
14:19:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:19:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:19:57 INFO    opendrift:2202: 2026-04-21 23:19:24.300040 - step 10 of 48 - 2000 active elements (0 deactivated)
14:19:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:19:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:19:59 INFO    opendrift:2202: 2026-04-22 00:19:24.300040 - step 11 of 48 - 2000 active elements (0 deactivated)
14:20:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:01 INFO    opendrift:2202: 2026-04-22 01:19:24.300040 - step 12 of 48 - 2000 active elements (0 deactivated)
14:20:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:04 INFO    opendrift:2202: 2026-04-22 02:19:24.300040 - step 13 of 48 - 2000 active elements (0 deactivated)
14:20:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:06 INFO    opendrift:2202: 2026-04-22 03:19:24.300040 - step 14 of 48 - 2000 active elements (0 deactivated)
14:20:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:08 INFO    opendrift:2202: 2026-04-22 04:19:24.300040 - step 15 of 48 - 2000 active elements (0 deactivated)
14:20:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:11 INFO    opendrift:2202: 2026-04-22 05:19:24.300040 - step 16 of 48 - 2000 active elements (0 deactivated)
14:20:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:13 INFO    opendrift:2202: 2026-04-22 06:19:24.300040 - step 17 of 48 - 2000 active elements (0 deactivated)
14:20:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:15 INFO    opendrift:2202: 2026-04-22 07:19:24.300040 - step 18 of 48 - 2000 active elements (0 deactivated)
14:20:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:18 INFO    opendrift:2202: 2026-04-22 08:19:24.300040 - step 19 of 48 - 2000 active elements (0 deactivated)
14:20:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:21 INFO    opendrift:2202: 2026-04-22 09:19:24.300040 - step 20 of 48 - 2000 active elements (0 deactivated)
14:20:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:24 INFO    opendrift:2202: 2026-04-22 10:19:24.300040 - step 21 of 48 - 2000 active elements (0 deactivated)
14:20:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:27 INFO    opendrift:2202: 2026-04-22 11:19:24.300040 - step 22 of 48 - 2000 active elements (0 deactivated)
14:20:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:29 INFO    opendrift:2202: 2026-04-22 12:19:24.300040 - step 23 of 48 - 2000 active elements (0 deactivated)
14:20:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:32 INFO    opendrift:2202: 2026-04-22 13:19:24.300040 - step 24 of 48 - 2000 active elements (0 deactivated)
14:20:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:34 INFO    opendrift:2202: 2026-04-22 14:19:24.300040 - step 25 of 48 - 2000 active elements (0 deactivated)
14:20:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:37 INFO    opendrift:2202: 2026-04-22 15:19:24.300040 - step 26 of 48 - 2000 active elements (0 deactivated)
14:20:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:40 INFO    opendrift:2202: 2026-04-22 16:19:24.300040 - step 27 of 48 - 2000 active elements (0 deactivated)
14:20:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:42 INFO    opendrift:2202: 2026-04-22 17:19:24.300040 - step 28 of 48 - 2000 active elements (0 deactivated)
14:20:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:45 INFO    opendrift:2202: 2026-04-22 18:19:24.300040 - step 29 of 48 - 2000 active elements (0 deactivated)
14:20:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:48 INFO    opendrift:2202: 2026-04-22 19:19:24.300040 - step 30 of 48 - 2000 active elements (0 deactivated)
14:20:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:51 INFO    opendrift:2202: 2026-04-22 20:19:24.300040 - step 31 of 48 - 2000 active elements (0 deactivated)
14:20:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:53 INFO    opendrift:2202: 2026-04-22 21:19:24.300040 - step 32 of 48 - 2000 active elements (0 deactivated)
14:20:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:56 INFO    opendrift:2202: 2026-04-22 22:19:24.300040 - step 33 of 48 - 2000 active elements (0 deactivated)
14:20:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:59 INFO    opendrift:2202: 2026-04-22 23:19:24.300040 - step 34 of 48 - 2000 active elements (0 deactivated)
14:21:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:01 INFO    opendrift:2202: 2026-04-23 00:19:24.300040 - step 35 of 48 - 2000 active elements (0 deactivated)
14:21:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:04 INFO    opendrift:2202: 2026-04-23 01:19:24.300040 - step 36 of 48 - 2000 active elements (0 deactivated)
14:21:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:07 INFO    opendrift:2202: 2026-04-23 02:19:24.300040 - step 37 of 48 - 2000 active elements (0 deactivated)
14:21:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:10 INFO    opendrift:2202: 2026-04-23 03:19:24.300040 - step 38 of 48 - 2000 active elements (0 deactivated)
14:21:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:13 INFO    opendrift:2202: 2026-04-23 04:19:24.300040 - step 39 of 48 - 2000 active elements (0 deactivated)
14:21:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:16 INFO    opendrift:2202: 2026-04-23 05:19:24.300040 - step 40 of 48 - 2000 active elements (0 deactivated)
14:21:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:19 INFO    opendrift:2202: 2026-04-23 06:19:24.300040 - step 41 of 48 - 2000 active elements (0 deactivated)
14:21:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:22 INFO    opendrift:2202: 2026-04-23 07:19:24.300040 - step 42 of 48 - 2000 active elements (0 deactivated)
14:21:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:25 INFO    opendrift:2202: 2026-04-23 08:19:24.300040 - step 43 of 48 - 2000 active elements (0 deactivated)
14:21:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:28 INFO    opendrift:2202: 2026-04-23 09:19:24.300040 - step 44 of 48 - 2000 active elements (0 deactivated)
14:21:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:31 INFO    opendrift:2202: 2026-04-23 10:19:24.300040 - step 45 of 48 - 2000 active elements (0 deactivated)
14:21:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:34 INFO    opendrift:2202: 2026-04-23 11:19:24.300040 - step 46 of 48 - 2000 active elements (0 deactivated)
14:21:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:37 INFO    opendrift:2202: 2026-04-23 12:19:24.300040 - step 47 of 48 - 2000 active elements (0 deactivated)
14:21:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:40 INFO    opendrift:2202: 2026-04-23 13:19:24.300040 - step 48 of 48 - 2000 active elements (0 deactivated)
14:21:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:43 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 2026-04-2...
Data variables: (12/32)
    status                               (trajectory, time) float32 392kB 0.0...
    moving                               (trajectory, time) float32 392kB 1.0...
    age_seconds                          (trajectory, time) float32 392kB 0.0...
    origin_marker                        (trajectory, time) float32 392kB 0.0...
    lon                                  (trajectory, time) float32 392kB 14....
    lat                                  (trajectory, time) float32 392kB 68....
    ...                                   ...
    sea_water_salinity                   (trajectory, time) float32 392kB 34....
    surface_downward_x_stress            (trajectory, time) float32 392kB 0.0...
    surface_downward_y_stress            (trajectory, time) float32 392kB 0.0...
    turbulent_kinetic_energy             (trajectory, time) float32 392kB 0.0...
    turbulent_generic_length_scale       (trajectory, time) float32 392kB 0.0...
    upward_sea_water_velocity            (trajectory, time) float32 392kB 0.0...
Attributes: (12/139)
    Conventions:                                                      CF-1.11...
    standard_name_vocabulary:                                         CF Stan...
    featureType:                                                      trajectory
    title:                                                            OpenDri...
    summary:                                                          Output ...
    keywords:                                                         traject...
    ...                                                               ...
    geospatial_lon_units:                                             degrees...
    geospatial_lon_resolution:                                        point
    runtime:                                                          0:02:19...
    geospatial_vertical_min:                                          -51.976498
    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]
    2026-04-21T14:19:24.300040 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2026-04-21T14:19:24.300040000', '2026-04-21T15:19:24.300040000',
           '2026-04-21T16:19:24.300040000', '2026-04-21T17:19:24.300040000',
           '2026-04-21T18:19:24.300040000', '2026-04-21T19:19:24.300040000',
           '2026-04-21T20:19:24.300040000', '2026-04-21T21:19:24.300040000',
           '2026-04-21T22:19:24.300040000', '2026-04-21T23:19:24.300040000',
           '2026-04-22T00:19:24.300040000', '2026-04-22T01:19:24.300040000',
           '2026-04-22T02:19:24.300040000', '2026-04-22T03:19:24.300040000',
           '2026-04-22T04:19:24.300040000', '2026-04-22T05:19:24.300040000',
           '2026-04-22T06:19:24.300040000', '2026-04-22T07:19:24.300040000',
           '2026-04-22T08:19:24.300040000', '2026-04-22T09:19:24.300040000',
           '2026-04-22T10:19:24.300040000', '2026-04-22T11:19:24.300040000',
           '2026-04-22T12:19:24.300040000', '2026-04-22T13:19:24.300040000',
           '2026-04-22T14:19:24.300040000', '2026-04-22T15:19:24.300040000',
           '2026-04-22T16:19:24.300040000', '2026-04-22T17:19:24.300040000',
           '2026-04-22T18:19:24.300040000', '2026-04-22T19:19:24.300040000',
           '2026-04-22T20:19:24.300040000', '2026-04-22T21:19:24.300040000',
           '2026-04-22T22:19:24.300040000', '2026-04-22T23:19:24.300040000',
           '2026-04-23T00:19:24.300040000', '2026-04-23T01:19:24.300040000',
           '2026-04-23T02:19:24.300040000', '2026-04-23T03:19:24.300040000',
           '2026-04-23T04:19:24.300040000', '2026-04-23T05:19:24.300040000',
           '2026-04-23T06:19:24.300040000', '2026-04-23T07:19:24.300040000',
           '2026-04-23T08:19:24.300040000', '2026-04-23T09:19:24.300040000',
           '2026-04-23T10:19:24.300040000', '2026-04-23T11:19:24.300040000',
           '2026-04-23T12:19:24.300040000', '2026-04-23T13:19:24.300040000',
           '2026-04-23T14:19:24.300040000'], 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 ... 13.08 13.08

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    12.331966

    maxval :

    14.26171

    array([[14.084752, 14.092024, 14.098251, ..., 14.198192, 14.203825,
            14.205117],
           [14.019218, 14.026695, 14.032716, ..., 14.132134, 14.138323,
            14.140112],
           [14.047049, 14.053893, 14.059996, ..., 14.14051 , 14.145967,
            14.147041],
           ...,
           [13.055853, 13.041551, 13.022348, ..., 13.119204, 13.135756,
            13.141655],
           [13.005157, 12.982481, 12.953142, ..., 13.029562, 13.045362,
            13.047014],
           [13.002091, 12.986278, 12.964581, ..., 13.058468, 13.075199,
            13.081775]], shape=(2000, 49), dtype=float32)

  • lat
    (trajectory, time)
    float32
    68.11 68.11 68.11 ... 67.76 67.75

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    67.65304

    maxval :

    68.271454

    array([[68.10684 , 68.10653 , 68.10554 , ..., 68.068146, 68.06543 ,
            68.06298 ],
           [68.09939 , 68.098595, 68.097145, ..., 68.061066, 68.05827 ,
            68.055595],
           [68.11965 , 68.11947 , 68.118614, ..., 68.07935 , 68.076485,
            68.07379 ],
           ...,
           [67.79944 , 67.79807 , 67.79939 , ..., 67.80808 , 67.80267 ,
            67.7973  ],
           [67.82828 , 67.82731 , 67.830376, ..., 67.87509 , 67.87386 ,
            67.87112 ],
           [67.78542 , 67.781944, 67.78232 , ..., 67.76562 , 67.75814 ,
            67.750786]], shape=(2000, 49), dtype=float32)

  • z
    (trajectory, time)
    float32
    -40.0 -49.26 -43.2 ... -22.95 -27.4

    dtype :

    <class 'numpy.float32'>

    units :

    m

    standard_name :

    z

    long_name :

    vertical position

    axis :

    Z

    positive :

    up

    minval :

    -51.976498

    maxval :

    0.0

    array([[-40.        , -49.260677  , -43.195072  , ...,  -3.0506477 ,
             -1.3759762 ,  -0.48425576],
           [-40.        , -50.530624  , -50.83412   , ..., -10.6208315 ,
            -10.105655  , -32.484314  ],
           [-40.        , -23.28382   ,  -6.9134994 , ...,  -8.276748  ,
             -1.2224368 ,  -9.748146  ],
           ...,
           [-40.        , -39.021107  , -40.807842  , ..., -18.852554  ,
            -17.550419  , -17.514013  ],
           [-40.        , -25.473059  , -10.180448  , ..., -10.071527  ,
             -2.7036426 ,  -7.6102557 ],
           [-40.        , -36.690105  , -15.343586  , ..., -22.32687   ,
            -22.954304  , -27.397877  ]], 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
    0.08408 0.07202 ... 0.07721 0.07721

    minval :

    -0.73619294

    maxval :

    0.7089188

    array([[ 0.08408412,  0.07201767,  0.06911486, ...,  0.06525388,
             0.01497561,  0.01497561],
           [ 0.08648424,  0.06965778,  0.06244383, ...,  0.07171012,
             0.02072967,  0.02072967],
           [ 0.07909781,  0.0705349 ,  0.06894242, ...,  0.06318448,
             0.01244572,  0.01244572],
           ...,
           [-0.1676004 , -0.22500335, -0.20669073, ...,  0.19391997,
             0.06913731,  0.06913731],
           [-0.26539186, -0.34332612, -0.3326119 , ...,  0.18454808,
             0.01929408,  0.01929408],
           [-0.18543279, -0.25443   , -0.24634905, ...,  0.19640096,
             0.07721179,  0.07721179]], shape=(2000, 49), dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    -0.009745 -0.03056 ... -0.228

    minval :

    -0.5642323

    maxval :

    0.6226268

    array([[-0.00974503, -0.03055669, -0.05705159, ..., -0.08395209,
            -0.07601089, -0.07601089],
           [-0.02467415, -0.04481697, -0.06702361, ..., -0.08663456,
            -0.08298456, -0.08298456],
           [-0.00573182, -0.02648506, -0.05451538, ..., -0.08888541,
            -0.08336445, -0.08336445],
           ...,
           [-0.04221985,  0.040765  ,  0.1000955 , ..., -0.16758943,
            -0.16630147, -0.16630147],
           [-0.0298543 ,  0.09498913,  0.19417456, ..., -0.03796124,
            -0.08511197, -0.08511197],
           [-0.10777544,  0.0115645 ,  0.10802534, ..., -0.23157126,
            -0.22795334, -0.22795334]], shape=(2000, 49), dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    0.5929 0.3816 ... -0.3585 -0.3585

    minval :

    -1.4850365

    maxval :

    0.8079965

    array([[ 0.5928939 ,  0.38162357, -0.03030445, ..., -0.74359393,
            -0.3118654 , -0.3118654 ],
           [ 0.5894866 ,  0.3790837 , -0.03139845, ..., -0.744621  ,
            -0.31462234, -0.31462234],
           [ 0.5926794 ,  0.38233352, -0.02868941, ..., -0.7460459 ,
            -0.3152223 , -0.3152223 ],
           ...,
           [ 0.47516015,  0.28805256, -0.08105453, ..., -0.74880636,
            -0.36202925, -0.36202925],
           [ 0.4718514 ,  0.28810337, -0.07779166, ..., -0.78000396,
            -0.38781965, -0.38781965],
           [ 0.46715334,  0.2793072 , -0.08870481, ..., -0.7401701 ,
            -0.3585467 , -0.3585467 ]], shape=(2000, 49), dtype=float32)

  • sea_surface_wave_significant_height
    (trajectory, time)
    float32
    3.067 2.539 2.269 ... 1.869 1.869

    minval :

    0.0006198885

    maxval :

    5.5237327

    array([[3.0669327 , 2.5390925 , 2.2687633 , ..., 0.7856484 , 0.66628987,
            0.66628987],
           [2.9315    , 2.6773274 , 2.135588  , ..., 1.7903777 , 1.2399588 ,
            1.2399588 ],
           [2.329853  , 2.2159564 , 1.995527  , ..., 0.9004736 , 0.7409077 ,
            0.7409077 ],
           ...,
           [3.3556159 , 3.322214  , 3.433895  , ..., 0.4877507 , 0.4431608 ,
            0.4431608 ],
           [2.4059763 , 2.672905  , 3.1080673 , ..., 1.9978878 , 2.1385388 ,
            2.1385388 ],
           [2.736432  , 3.8367443 , 4.281831  , ..., 1.8407192 , 1.8690851 ,
            1.8690851 ]], 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
    9.661 9.833 9.517 ... 3.799 3.799

    minval :

    -1.8381658

    maxval :

    14.981508

    array([[ 9.660539  ,  9.83254   ,  9.516546  , ...,  5.4664955 ,
             3.7308888 ,  3.7308888 ],
           [ 9.9404335 , 10.034812  ,  9.123191  , ...,  8.105734  ,
             6.2343316 ,  6.2343316 ],
           [ 8.137782  ,  9.066494  ,  8.872541  , ...,  5.8577247 ,
             4.842743  ,  4.842743  ],
           ...,
           [11.292689  , 11.37528   , 11.74715   , ...,  4.2018943 ,
             3.5046773 ,  3.5046773 ],
           [ 9.630999  , 10.2849655 , 11.162201  , ..., -0.39300817,
            -0.5229191 , -0.5229191 ],
           [10.192681  , 12.47044   , 13.192365  , ...,  4.8107524 ,
             3.7990716 ,  3.7990716 ]], shape=(2000, 49), dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    5.599 2.557 1.289 ... -7.845 -7.845

    minval :

    -13.445867

    maxval :

    7.3975124

    array([[ 5.598756  ,  2.556623  ,  1.2889967 , ..., -1.4333012 ,
            -3.628419  , -3.628419  ],
           [ 4.5115914 ,  2.8525422 ,  1.8920658 , ..., -2.6602    ,
            -3.3967538 , -3.3967538 ],
           [ 5.337225  ,  2.8068156 ,  1.548223  , ..., -1.5138292 ,
            -2.5818682 , -2.5818682 ],
           ...,
           [ 2.980322  ,  2.3774662 ,  1.2624166 , ..., -1.4735501 ,
            -2.3941398 , -2.3941398 ],
           [ 2.2467291 ,  1.6953353 ,  1.3226771 , ..., -9.003361  ,
            -9.309084  , -9.309084  ],
           [ 2.7104118 ,  0.67330843, -0.14031485, ..., -7.1890645 ,
            -7.8451343 , -7.8451343 ]], 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 91.67 92.06 ... 158.1 158.1

    minval :

    38.587284

    maxval :

    252.10751

    array([[ 91.5983  ,  91.66586 ,  92.064804, ..., 186.3458  , 198.05899 ,
            198.05899 ],
           [ 94.49078 ,  95.3606  ,  96.22233 , ..., 147.43404 , 159.0968  ,
            159.0968  ],
           [ 86.55411 ,  86.50683 ,  86.761604, ..., 116.91123 , 122.643814,
            122.643814],
           ...,
           [131.81073 , 127.88133 , 120.76247 , ..., 141.53804 , 148.53685 ,
            148.53685 ],
           [ 97.5854  ,  90.62706 ,  79.22304 , ...,  74.50785 ,  80.28302 ,
             80.28302 ],
           [122.13025 , 118.4292  , 110.49965 , ..., 149.97282 , 158.14587 ,
            158.14587 ]], shape=(2000, 49), dtype=float32)

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

    minval :

    0.02

    maxval :

    0.02

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

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

    minval :

    50.0

    maxval :

    50.0

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

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

    minval :

    10.0

    maxval :

    10.0

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

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

    minval :

    34.0

    maxval :

    34.0

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

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

    minval :

    0.0

    maxval :

    0.0

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

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

    minval :

    0.0

    maxval :

    0.0

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

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

    minval :

    0.0

    maxval :

    0.0

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

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

    minval :

    0.0

    maxval :

    0.0

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

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

    minval :

    0.0

    maxval :

    0.0

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

• Indexes: (2)
  • trajectory
    PandasIndex

    PandasIndex(Index([   0,    1,    2,    3,    4,    5,    6,    7,    8,    9,
           ...
           1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999],
          dtype='int64', name='trajectory', length=2000))

  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['2026-04-21 14:19:24.300040', '2026-04-21 15:19:24.300040',
                   '2026-04-21 16:19:24.300040', '2026-04-21 17:19:24.300040',
                   '2026-04-21 18:19:24.300040', '2026-04-21 19:19:24.300040',
                   '2026-04-21 20:19:24.300040', '2026-04-21 21:19:24.300040',
                   '2026-04-21 22:19:24.300040', '2026-04-21 23:19:24.300040',
                   '2026-04-22 00:19:24.300040', '2026-04-22 01:19:24.300040',
                   '2026-04-22 02:19:24.300040', '2026-04-22 03:19:24.300040',
                   '2026-04-22 04:19:24.300040', '2026-04-22 05:19:24.300040',
                   '2026-04-22 06:19:24.300040', '2026-04-22 07:19:24.300040',
                   '2026-04-22 08:19:24.300040', '2026-04-22 09:19:24.300040',
                   '2026-04-22 10:19:24.300040', '2026-04-22 11:19:24.300040',
                   '2026-04-22 12:19:24.300040', '2026-04-22 13:19:24.300040',
                   '2026-04-22 14:19:24.300040', '2026-04-22 15:19:24.300040',
                   '2026-04-22 16:19:24.300040', '2026-04-22 17:19:24.300040',
                   '2026-04-22 18:19:24.300040', '2026-04-22 19:19:24.300040',
                   '2026-04-22 20:19:24.300040', '2026-04-22 21:19:24.300040',
                   '2026-04-22 22:19:24.300040', '2026-04-22 23:19:24.300040',
                   '2026-04-23 00:19:24.300040', '2026-04-23 01:19:24.300040',
                   '2026-04-23 02:19:24.300040', '2026-04-23 03:19:24.300040',
                   '2026-04-23 04:19:24.300040', '2026-04-23 05:19:24.300040',
                   '2026-04-23 06:19:24.300040', '2026-04-23 07:19:24.300040',
                   '2026-04-23 08:19:24.300040', '2026-04-23 09:19:24.300040',
                   '2026-04-23 10:19:24.300040', '2026-04-23 11:19:24.300040',
                   '2026-04-23 12:19:24.300040', '2026-04-23 13:19:24.300040',
                   '2026-04-23 14:19:24.300040'],
                  dtype='datetime64[ns]', name='time', freq='h'))

• Attributes: (139)

  Conventions :

  CF-1.11, ACDD-1.3

  standard_name_vocabulary :

  CF Standard Name Table v85

  featureType :

  trajectory

  title :

  OpenDrift trajectory simulation

  summary :

  Output from simulation with OpenDrift framework

  keywords :

  trajectory, drift, lagrangian, simulation

  history :

  Created 2026-04-21 14:19:28.510374

  date_created :

  2026-04-21T14:19:28.510392

  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 :

  2026-04-21 14:19:24.300040

  time_step_calculation :

  1:00:00

  time_step_output :

  1:00:00

  config_environment:constant:x_sea_water_velocity :

  None

  config_environment:fallback:x_sea_water_velocity :

  0

  config_environment:constant:y_sea_water_velocity :

  None

  config_environment:fallback:y_sea_water_velocity :

  0

  config_environment:constant:sea_surface_height :

  None

  config_environment:fallback:sea_surface_height :

  0

  config_environment:constant:sea_surface_wave_significant_height :

  None

  config_environment:fallback:sea_surface_wave_significant_height :

  0

  config_environment:constant:sea_ice_area_fraction :

  None

  config_environment:fallback:sea_ice_area_fraction :

  0

  config_environment:constant:x_wind :

  None

  config_environment:fallback:x_wind :

  0

  config_environment:constant:y_wind :

  None

  config_environment:fallback:y_wind :

  0

  config_environment:constant:land_binary_mask :

  None

  config_environment:fallback:land_binary_mask :

  None

  config_environment:constant:sea_floor_depth_below_sea_level :

  None

  config_environment:fallback:sea_floor_depth_below_sea_level :

  100

  config_environment:constant:ocean_vertical_diffusivity :

  None

  config_environment:fallback:ocean_vertical_diffusivity :

  0.02

  config_environment:constant:ocean_mixed_layer_thickness :

  None

  config_environment:fallback:ocean_mixed_layer_thickness :

  50

  config_environment:constant:sea_water_temperature :

  None

  config_environment:fallback:sea_water_temperature :

  10

  config_environment:constant:sea_water_salinity :

  None

  config_environment:fallback:sea_water_salinity :

  34

  config_environment:constant:surface_downward_x_stress :

  None

  config_environment:fallback:surface_downward_x_stress :

  0

  config_environment:constant:surface_downward_y_stress :

  None

  config_environment:fallback:surface_downward_y_stress :

  0

  config_environment:constant:turbulent_kinetic_energy :

  None

  config_environment:fallback:turbulent_kinetic_energy :

  0

  config_environment:constant:turbulent_generic_length_scale :

  None

  config_environment:fallback:turbulent_generic_length_scale :

  0

  config_environment:constant:upward_sea_water_velocity :

  None

  config_environment:fallback:upward_sea_water_velocity :

  0

  config_general:use_auto_landmask :

  True

  config_drift:current_uncertainty :

  0

  config_drift:current_uncertainty_uniform :

  0

  config_drift:max_speed :

  2.0

  config_readers:max_number_of_fails :

  1

  config_general:simulation_name :

  config_general:coastline_action :

  previous

  config_general:coastline_approximation_precision :

  0.001

  config_general:time_step_minutes :

  60

  config_general:time_step_output_minutes :

  None

  config_seed:ocean_only :

  True

  config_seed:number :

  1

  config_drift:max_age_seconds :

  None

  config_drift:advection_scheme :

  euler

  config_drift:profiles_depth :

  50

  config_drift:wind_uncertainty :

  0

  config_drift:relative_wind :

  False

  config_drift:deactivate_north_of :

  None

  config_drift:deactivate_south_of :

  None

  config_drift:deactivate_east_of :

  None

  config_drift:deactivate_west_of :

  None

  config_seed:origin_marker :

  0

  config_seed:z :

  0

  config_seed:wind_drift_factor :

  0.02

  config_seed:current_drift_factor :

  1

  config_seed:terminal_velocity :

  0.0

  config_seed:diameter :

  0.0014

  config_seed:neutral_buoyancy_salinity :

  31.25

  config_seed:density :

  1028.0

  config_seed:hatched :

  0.0

  config_drift:vertical_advection :

  True

  config_drift:vertical_advection_at_surface :

  True

  config_drift:water_column_stretching :

  False

  config_drift:vertical_advection_correction :

  False

  config_drift:vertical_mixing :

  True

  config_drift:vertical_mixing_at_surface :

  True

  config_vertical_mixing:timestep :

  60.0

  config_vertical_mixing:diffusivitymodel :

  windspeed_Sundby1983

  config_vertical_mixing:background_diffusivity :

  1.2e-05

  config_vertical_mixing:TSprofiles :

  False

  config_drift:wind_drift_depth :

  0.1

  config_drift:stokes_drift :

  True

  config_drift:stokes_drift_profile :

  Phillips

  config_drift:use_tabularised_stokes_drift :

  False

  config_drift:tabularised_stokes_drift_fetch :

  25000

  config_general:seafloor_action :

  lift_to_seafloor

  config_drift:truncate_ocean_model_below_m :

  None

  config_seed:seafloor :

  False

  opendrift_version :

  1.14.9

  seed_geojson :

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

  simulation_time :

  2026-04-21 14:19:28.517586

  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 :

  2026-04-23 14:19:24.300040

  time_coverage_duration :

  P2DT0H0M0S

  time_coverage_resolution :

  P0DT1H0M0S

  performance :

  -------------------- Reader performance: -------------------- global_landmask 0:00:01.6 total 0:00:00.0 preparing 0:00:01.6 reading 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml 0:00:55.8 total 0:00:00.0 preparing 0:00:55.6 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 0:01:06.3 total 0:00:00.0 preparing 0:01:06.2 reading 0:00:01.0 interpolation 0:00:00.0 interpolation_time 0:00:00.1 rotating vectors 0:00:00.0 masking -------------------- Performance: 2:19.6 total time 4.2 configuration 0.0 preparing main loop 0.0 moving elements to ocean 2:15.3 main loop 3.4 updating elements 3.3 vertical mixing 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  67.65304

  geospatial_lat_max :

  68.271454

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  12.331966

  geospatial_lon_max :

  14.26171

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:02:19.608063

  geospatial_vertical_min :

  -51.976498

  geospatial_vertical_max :

  0.0

  geospatial_vertical_positive :

  up

Print and plot results. At the end the wind vanishes, and eggs come to surface

print(o)

o.plot(fast=True)
o.animation(fast=True, color='z')

===========================
--------------------
Reader performance:
--------------------
global_landmask
 0:00:01.6  total
 0:00:00.0  preparing
 0:00:01.6  reading
 0:00:00.0  masking
--------------------
https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
 0:00:55.8  total
 0:00:00.0  preparing
 0:00:55.6  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
 0:01:06.3  total
 0:00:00.0  preparing
 0:01:06.2  reading
 0:00:01.0  interpolation
 0:00:00.0  interpolation_time
 0:00:00.1  rotating vectors
 0:00:00.0  masking
--------------------
Performance:
 2:19.6 total time
    4.2 configuration
    0.0 preparing main loop
      0.0 moving elements to ocean
 2:15.3 main loop
      3.4 updating elements
        3.3 vertical mixing
    0.0 cleaning up
--------------------
===========================
Model:  PelagicEggDrift     (OpenDrift version 1.14.9)
        2000 active PelagicEgg particles  (0 deactivated, 0 scheduled)
-------------------
Environment variables:
  -----
  land_binary_mask
     1) global_landmask
  -----
  sea_floor_depth_below_sea_level
  sea_surface_height
  x_sea_water_velocity
  y_sea_water_velocity
     1) https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
  -----
  x_wind
  y_wind
     1) https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc
  -----
Readers not added for the following variables:
  ocean_mixed_layer_thickness
  ocean_vertical_diffusivity
  sea_ice_area_fraction
  sea_surface_wave_significant_height
  sea_water_salinity
  sea_water_temperature
  surface_downward_x_stress
  surface_downward_y_stress
  turbulent_generic_length_scale
  turbulent_kinetic_energy
  upward_sea_water_velocity

Discarded readers:

Time:
        Start: 2026-04-21 14:19:24.300040 UTC
        Present: 2026-04-23 14:19:24.300040 UTC
        Calculation steps: 48 * 1:00:00 - total time: 2 days, 0:00:00
        Output steps: 49 * 1:00:00
===========================

14:21:44 WARNING opendrift:2565: Plotting fast. This will make your plots less accurate.
14:21:50 WARNING opendrift:2565: Plotting fast. This will make your plots less accurate.
14:21:52 INFO    opendrift:4768: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_0.gif...
14:22:32 INFO    opendrift:3191: Time to make animation: 0:00:41.392228

o.animate_vertical_distribution()

14:22:33 INFO    opendrift:4768: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_1.gif...
14:22:45 INFO    opendrift.models.oceandrift:644: Time to make animation: 0:00:11.999723