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'])

09:30:30 INFO    opendrift:576: OpenDriftSimulation initialised (version 1.14.7 / v1.14.7-2-g52ef046)

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)

09:30:31 INFO    opendrift.models.basemodel.environment:203: Adding a global landmask from GSHHG
09:30:35 INFO    opendrift.models.basemodel.environment:227: Fallback values will be used for the following variables which have no readers:
09:30:35 INFO    opendrift.models.basemodel.environment:230:    x_sea_water_velocity: 0.000000
09:30:35 INFO    opendrift.models.basemodel.environment:230:    y_sea_water_velocity: 0.000000
09:30:35 INFO    opendrift.models.basemodel.environment:230:    sea_surface_height: 0.000000
09:30:35 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_significant_height: 0.000000
09:30:35 INFO    opendrift.models.basemodel.environment:230:    sea_ice_area_fraction: 0.000000
09:30:35 INFO    opendrift.models.basemodel.environment:230:    x_wind: 0.000000
09:30:35 INFO    opendrift.models.basemodel.environment:230:    y_wind: 0.000000
09:30:35 INFO    opendrift.models.basemodel.environment:230:    sea_floor_depth_below_sea_level: 100.000000
09:30:35 INFO    opendrift.models.basemodel.environment:230:    ocean_vertical_diffusivity: 0.020000
09:30:35 INFO    opendrift.models.basemodel.environment:230:    ocean_mixed_layer_thickness: 50.000000
09:30:35 INFO    opendrift.models.basemodel.environment:230:    sea_water_temperature: 10.000000
09:30:35 INFO    opendrift.models.basemodel.environment:230:    sea_water_salinity: 34.000000
09:30:35 INFO    opendrift.models.basemodel.environment:230:    surface_downward_x_stress: 0.000000
09:30:35 INFO    opendrift.models.basemodel.environment:230:    surface_downward_y_stress: 0.000000
09:30:35 INFO    opendrift.models.basemodel.environment:230:    turbulent_kinetic_energy: 0.000000
09:30:35 INFO    opendrift.models.basemodel.environment:230:    turbulent_generic_length_scale: 0.000000
09:30:35 INFO    opendrift.models.basemodel.environment:230:    upward_sea_water_velocity: 0.000000

Running model

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

09:30:35 INFO    opendrift:1814: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
09:30:35 INFO    opendrift:1814: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
09:30:35 INFO    opendrift:952: Using existing reader for land_binary_mask to move elements to ocean
09:30:35 INFO    opendrift:982: All points are in ocean
09:30:35 INFO    opendrift:2111: 2025-12-05 09:30:31.000006 - step 1 of 48 - 2000 active elements (0 deactivated)
09:30:35 INFO    opendrift.readers:63: Opening file with xr.open_dataset
09:30:37 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'x': 'x', 'y': 'y', 'time': 'time'}
09:30:37 INFO    opendrift.readers:63: Opening file with xr.open_dataset
09:30:37 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'time': 'time', 'x': 'x', 'y': 'y'}
09:30:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:41 INFO    opendrift:2111: 2025-12-05 10:30:31.000006 - step 2 of 48 - 2000 active elements (0 deactivated)
09:30:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:45 INFO    opendrift:2111: 2025-12-05 11:30:31.000006 - step 3 of 48 - 2000 active elements (0 deactivated)
09:30:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:50 INFO    opendrift:2111: 2025-12-05 12:30:31.000006 - step 4 of 48 - 2000 active elements (0 deactivated)
09:30:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:55 INFO    opendrift:2111: 2025-12-05 13:30:31.000006 - step 5 of 48 - 2000 active elements (0 deactivated)
09:30:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:58 INFO    opendrift:2111: 2025-12-05 14:30:31.000006 - step 6 of 48 - 2000 active elements (0 deactivated)
09:31:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:01 INFO    opendrift:2111: 2025-12-05 15:30:31.000006 - step 7 of 48 - 2000 active elements (0 deactivated)
09:31:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:04 INFO    opendrift:2111: 2025-12-05 16:30:31.000006 - step 8 of 48 - 2000 active elements (0 deactivated)
09:31:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:07 INFO    opendrift:2111: 2025-12-05 17:30:31.000006 - step 9 of 48 - 2000 active elements (0 deactivated)
09:31:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:13 INFO    opendrift:2111: 2025-12-05 18:30:31.000006 - step 10 of 48 - 2000 active elements (0 deactivated)
09:31:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:16 INFO    opendrift:2111: 2025-12-05 19:30:31.000006 - step 11 of 48 - 2000 active elements (0 deactivated)
09:31:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:18 INFO    opendrift:2111: 2025-12-05 20:30:31.000006 - step 12 of 48 - 2000 active elements (0 deactivated)
09:31:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:21 INFO    opendrift:2111: 2025-12-05 21:30:31.000006 - step 13 of 48 - 2000 active elements (0 deactivated)
09:31:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:23 INFO    opendrift:2111: 2025-12-05 22:30:31.000006 - step 14 of 48 - 2000 active elements (0 deactivated)
09:31:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:26 INFO    opendrift:2111: 2025-12-05 23:30:31.000006 - step 15 of 48 - 2000 active elements (0 deactivated)
09:31:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:29 INFO    opendrift:2111: 2025-12-06 00:30:31.000006 - step 16 of 48 - 2000 active elements (0 deactivated)
09:31:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:31 INFO    opendrift:2111: 2025-12-06 01:30:31.000006 - step 17 of 48 - 2000 active elements (0 deactivated)
09:31:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:34 INFO    opendrift:2111: 2025-12-06 02:30:31.000006 - step 18 of 48 - 2000 active elements (0 deactivated)
09:31:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:37 INFO    opendrift:2111: 2025-12-06 03:30:31.000006 - step 19 of 48 - 2000 active elements (0 deactivated)
09:31:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:40 INFO    opendrift:2111: 2025-12-06 04:30:31.000006 - step 20 of 48 - 2000 active elements (0 deactivated)
09:31:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:43 INFO    opendrift:2111: 2025-12-06 05:30:31.000006 - step 21 of 48 - 2000 active elements (0 deactivated)
09:31:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:46 INFO    opendrift:2111: 2025-12-06 06:30:31.000006 - step 22 of 48 - 2000 active elements (0 deactivated)
09:31:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:49 INFO    opendrift:2111: 2025-12-06 07:30:31.000006 - step 23 of 48 - 2000 active elements (0 deactivated)
09:31:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:51 INFO    opendrift:2111: 2025-12-06 08:30:31.000006 - step 24 of 48 - 2000 active elements (0 deactivated)
09:31:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:54 INFO    opendrift:2111: 2025-12-06 09:30:31.000006 - step 25 of 48 - 2000 active elements (0 deactivated)
09:31:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:57 INFO    opendrift:2111: 2025-12-06 10:30:31.000006 - step 26 of 48 - 2000 active elements (0 deactivated)
09:31:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:59 INFO    opendrift:2111: 2025-12-06 11:30:31.000006 - step 27 of 48 - 2000 active elements (0 deactivated)
09:32:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:02 INFO    opendrift:2111: 2025-12-06 12:30:31.000006 - step 28 of 48 - 2000 active elements (0 deactivated)
09:32:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:04 INFO    opendrift:2111: 2025-12-06 13:30:31.000006 - step 29 of 48 - 2000 active elements (0 deactivated)
09:32:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:07 INFO    opendrift:2111: 2025-12-06 14:30:31.000006 - step 30 of 48 - 2000 active elements (0 deactivated)
09:32:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:09 INFO    opendrift:2111: 2025-12-06 15:30:31.000006 - step 31 of 48 - 2000 active elements (0 deactivated)
09:32:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:12 INFO    opendrift:2111: 2025-12-06 16:30:31.000006 - step 32 of 48 - 2000 active elements (0 deactivated)
09:32:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:15 INFO    opendrift:2111: 2025-12-06 17:30:31.000006 - step 33 of 48 - 2000 active elements (0 deactivated)
09:32:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:18 INFO    opendrift:2111: 2025-12-06 18:30:31.000006 - step 34 of 48 - 2000 active elements (0 deactivated)
09:32:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:21 INFO    opendrift:2111: 2025-12-06 19:30:31.000006 - step 35 of 48 - 2000 active elements (0 deactivated)
09:32:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:23 INFO    opendrift:2111: 2025-12-06 20:30:31.000006 - step 36 of 48 - 2000 active elements (0 deactivated)
09:32:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:26 INFO    opendrift:2111: 2025-12-06 21:30:31.000006 - step 37 of 48 - 2000 active elements (0 deactivated)
09:32:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:30 INFO    opendrift:2111: 2025-12-06 22:30:31.000006 - step 38 of 48 - 2000 active elements (0 deactivated)
09:32:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:32 INFO    opendrift:2111: 2025-12-06 23:30:31.000006 - step 39 of 48 - 2000 active elements (0 deactivated)
09:32:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:34 INFO    opendrift:2111: 2025-12-07 00:30:31.000006 - step 40 of 48 - 2000 active elements (0 deactivated)
09:32:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:37 INFO    opendrift:2111: 2025-12-07 01:30:31.000006 - step 41 of 48 - 2000 active elements (0 deactivated)
09:32:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:40 INFO    opendrift:2111: 2025-12-07 02:30:31.000006 - step 42 of 48 - 2000 active elements (0 deactivated)
09:32:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:42 INFO    opendrift:2111: 2025-12-07 03:30:31.000006 - step 43 of 48 - 2000 active elements (0 deactivated)
09:32:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:45 INFO    opendrift:2111: 2025-12-07 04:30:31.000006 - step 44 of 48 - 2000 active elements (0 deactivated)
09:32:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:48 INFO    opendrift:2111: 2025-12-07 05:30:31.000006 - step 45 of 48 - 2000 active elements (0 deactivated)
09:32:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:51 INFO    opendrift:2111: 2025-12-07 06:30:31.000006 - step 46 of 48 - 2000 active elements (0 deactivated)
09:32:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:53 INFO    opendrift:2111: 2025-12-07 07:30:31.000006 - step 47 of 48 - 2000 active elements (0 deactivated)
09:32:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:56 INFO    opendrift:2111: 2025-12-07 08:30:31.000006 - step 48 of 48 - 2000 active elements (0 deactivated)
09:32:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:32:59 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 2025-12-0...
Data variables: (12/32)
    status                               (trajectory, time) float32 392kB 0.0...
    moving                               (trajectory, time) float32 392kB 1.0...
    age_seconds                          (trajectory, time) float32 392kB 0.0...
    origin_marker                        (trajectory, time) float32 392kB 0.0...
    lon                                  (trajectory, time) float32 392kB 14....
    lat                                  (trajectory, time) float32 392kB 68....
    ...                                   ...
    sea_water_salinity                   (trajectory, time) float32 392kB 34....
    surface_downward_x_stress            (trajectory, time) float32 392kB 0.0...
    surface_downward_y_stress            (trajectory, time) float32 392kB 0.0...
    turbulent_kinetic_energy             (trajectory, time) float32 392kB 0.0...
    turbulent_generic_length_scale       (trajectory, time) float32 392kB 0.0...
    upward_sea_water_velocity            (trajectory, time) float32 392kB 0.0...
Attributes: (12/140)
    Conventions:                                                      CF-1.11...
    standard_name_vocabulary:                                         CF Stan...
    featureType:                                                      trajectory
    title:                                                            OpenDri...
    summary:                                                          Output ...
    keywords:                                                         traject...
    ...                                                               ...
    geospatial_lon_units:                                             degrees...
    geospatial_lon_resolution:                                        point
    runtime:                                                          0:02:28...
    geospatial_vertical_min:                                          -51.6156
    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]
    2025-12-05T09:30:31.000006 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2025-12-05T09:30:31.000006000', '2025-12-05T10:30:31.000006000',
           '2025-12-05T11:30:31.000006000', '2025-12-05T12:30:31.000006000',
           '2025-12-05T13:30:31.000006000', '2025-12-05T14:30:31.000006000',
           '2025-12-05T15:30:31.000006000', '2025-12-05T16:30:31.000006000',
           '2025-12-05T17:30:31.000006000', '2025-12-05T18:30:31.000006000',
           '2025-12-05T19:30:31.000006000', '2025-12-05T20:30:31.000006000',
           '2025-12-05T21:30:31.000006000', '2025-12-05T22:30:31.000006000',
           '2025-12-05T23:30:31.000006000', '2025-12-06T00:30:31.000006000',
           '2025-12-06T01:30:31.000006000', '2025-12-06T02:30:31.000006000',
           '2025-12-06T03:30:31.000006000', '2025-12-06T04:30:31.000006000',
           '2025-12-06T05:30:31.000006000', '2025-12-06T06:30:31.000006000',
           '2025-12-06T07:30:31.000006000', '2025-12-06T08:30:31.000006000',
           '2025-12-06T09:30:31.000006000', '2025-12-06T10:30:31.000006000',
           '2025-12-06T11:30:31.000006000', '2025-12-06T12:30:31.000006000',
           '2025-12-06T13:30:31.000006000', '2025-12-06T14:30:31.000006000',
           '2025-12-06T15:30:31.000006000', '2025-12-06T16:30:31.000006000',
           '2025-12-06T17:30:31.000006000', '2025-12-06T18:30:31.000006000',
           '2025-12-06T19:30:31.000006000', '2025-12-06T20:30:31.000006000',
           '2025-12-06T21:30:31.000006000', '2025-12-06T22:30:31.000006000',
           '2025-12-06T23:30:31.000006000', '2025-12-07T00:30:31.000006000',
           '2025-12-07T01:30:31.000006000', '2025-12-07T02:30:31.000006000',
           '2025-12-07T03:30:31.000006000', '2025-12-07T04:30:31.000006000',
           '2025-12-07T05:30:31.000006000', '2025-12-07T06:30:31.000006000',
           '2025-12-07T07:30:31.000006000', '2025-12-07T08:30:31.000006000',
           '2025-12-07T09:30:31.000006000'], dtype='datetime64[ns]')

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

    dtype :

    <class 'numpy.int32'>

    valid_range :

    [0 0]

    flag_values :

    [0]

    flag_meanings :

    active

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

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

    dtype :

    <class 'numpy.int32'>

    minval :

    1

    maxval :

    1

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

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

    dtype :

    <class 'numpy.float32'>

    units :

    s

    minval :

    0.0

    maxval :

    172800.0

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

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

    dtype :

    <class 'numpy.int32'>

    unit :

    description :

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

    flag_values :

    [0 1 2 3]

    flag_meanings :

    Seed_0 Seed_1 Seed_2 Seed_3

    minval :

    0

    maxval :

    3

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

  • lon
    (trajectory, time)
    float32
    14.08 14.08 14.08 ... 12.95 12.98

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    12.342134

    maxval :

    14.129527

    array([[14.084752, 14.083139, 14.07901 , ..., 13.879785, 13.876803,
            13.87378 ],
           [14.019218, 14.017568, 14.013379, ..., 13.848999, 13.848999,
            13.848999],
           [14.047049, 14.04562 , 14.041918, ..., 13.857755, 13.857755,
            13.857755],
           ...,
           [13.055853, 13.05618 , 13.04307 , ..., 12.529052, 12.537561,
            12.547625],
           [13.005157, 13.002655, 12.981965, ..., 12.484066, 12.490725,
            12.49888 ],
           [13.002091, 13.002025, 12.987539, ..., 12.912605, 12.946605,
            12.982007]], shape=(2000, 49), dtype=float32)

  • lat
    (trajectory, time)
    float32
    68.11 68.11 68.11 ... 67.85 67.85

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    67.73068

    maxval :

    68.48148

    array([[68.10684 , 68.1092  , 68.11159 , ..., 68.13738 , 68.13744 ,
            68.137794],
           [68.09939 , 68.10133 , 68.103294, ..., 68.12198 , 68.12198 ,
            68.12198 ],
           [68.11965 , 68.121925, 68.12433 , ..., 68.134964, 68.134964,
            68.134964],
           ...,
           [67.79944 , 67.79913 , 67.8019  , ..., 68.084   , 68.09334 ,
            68.100006],
           [67.82828 , 67.8228  , 67.82146 , ..., 68.063675, 68.07344 ,
            68.08011 ],
           [67.78542 , 67.78129 , 67.78088 , ..., 67.85084 , 67.8515  ,
            67.84981 ]], shape=(2000, 49), dtype=float32)

  • z
    (trajectory, time)
    float32
    -40.0 -46.21 ... -23.05 -25.59

    dtype :

    <class 'numpy.float32'>

    units :

    m

    standard_name :

    z

    long_name :

    vertical position

    axis :

    Z

    positive :

    up

    minval :

    -51.6156

    maxval :

    0.0

    array([[-40.        , -46.214123  , -45.19297   , ...,  -3.1755068 ,
             -1.3288571 ,  -0.69574004],
           [-40.        , -43.78549   , -42.87046   , ...,  -8.27895   ,
             -7.981423  , -28.397936  ],
           [-40.        , -26.624771  ,  -8.717352  , ...,  -8.795145  ,
             -1.6825821 , -10.812457  ],
           ...,
           [-40.        , -37.220356  , -34.149734  , ..., -21.754879  ,
            -21.621399  , -23.333588  ],
           [-40.        , -30.679941  , -18.470526  , ..., -12.022111  ,
             -1.7235242 ,  -6.998202  ],
           [-40.        , -39.381588  , -27.49584   , ..., -23.05383   ,
            -23.04804   , -25.589596  ]], 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
    -0.01865 -0.04774 ... 0.4139 0.4139

    minval :

    -1.0641637

    maxval :

    0.8333088

    array([[-0.01865131, -0.04773583, -0.07328948, ..., -0.0344345 ,
            -0.03490238, -0.03490238],
           [-0.01909834, -0.04844042, -0.07346472, ..., -0.0292941 ,
            -0.02826873, -0.02826873],
           [-0.01651124, -0.0427704 , -0.06502818, ..., -0.03137996,
            -0.03223443, -0.03223443],
           ...,
           [ 0.00383125, -0.1536035 , -0.28140172, ...,  0.09846658,
             0.11639883,  0.11639883],
           [-0.02929166, -0.24221063, -0.4195993 , ...,  0.07710075,
             0.0944181 ,  0.0944181 ],
           [-0.00078498, -0.16986635, -0.29949746, ...,  0.39750847,
             0.41393477,  0.41393477]], shape=(2000, 49), dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    0.07312 0.07387 ... -0.05242

    minval :

    -0.66722244

    maxval :

    0.81154287

    array([[ 0.07311589,  0.0738704 ,  0.06698723, ...,  0.00181818,
             0.01086298,  0.01086298],
           [ 0.06039289,  0.06071225,  0.05496831, ...,  0.01781301,
             0.02820624,  0.02820624],
           [ 0.07033618,  0.07452782,  0.07072297, ...,  0.00505099,
             0.01356875,  0.01356875],
           ...,
           [-0.00941667,  0.08575807,  0.17167644, ...,  0.2894295 ,
             0.20648417,  0.20648417],
           [-0.16960719, -0.04166958,  0.08948497, ...,  0.30266345,
             0.20658569,  0.20658569],
           [-0.12800947, -0.01271784,  0.1129508 , ...,  0.02074776,
            -0.05242021, -0.05242021]], shape=(2000, 49), dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    0.4725 0.8493 ... -1.095 -1.095

    minval :

    -1.9346999

    maxval :

    0.9307665

    array([[ 0.47253036,  0.8493412 ,  0.9257863 , ..., -1.5758283 ,
            -1.1185887 , -1.1185887 ],
           [ 0.46878657,  0.8455222 ,  0.9221014 , ..., -1.5738071 ,
            -1.1176723 , -1.1176723 ],
           [ 0.47006333,  0.84772724,  0.9254825 , ..., -1.5747899 ,
            -1.1182755 , -1.1182755 ],
           ...,
           [ 0.38576517,  0.74348336,  0.8141672 , ..., -1.3647845 ,
            -1.0332453 , -1.0332453 ],
           [ 0.3699456 ,  0.7324084 ,  0.80443144, ..., -1.3715534 ,
            -1.0374327 , -1.0374327 ],
           [ 0.38167417,  0.7357468 ,  0.8020959 , ..., -1.486584  ,
            -1.0945537 , -1.0945537 ]], shape=(2000, 49), dtype=float32)

  • sea_surface_wave_significant_height
    (trajectory, time)
    float32
    0.4041 0.5202 ... 0.8699 0.8699

    minval :

    0.0003663653

    maxval :

    3.7411263

    array([[0.4041196 , 0.5201621 , 0.7264868 , ..., 1.3061558 , 1.3859767 ,
            1.3859767 ],
           [0.49407884, 0.5598756 , 0.5916745 , ..., 0.834082  , 0.9517489 ,
            0.9517489 ],
           [1.4171795 , 1.424917  , 1.476393  , ..., 0.98959976, 0.9693799 ,
            0.9693799 ],
           ...,
           [0.32250893, 0.37539038, 0.47540116, ..., 1.5257332 , 1.5572311 ,
            1.5572311 ],
           [0.1270454 , 0.08408073, 0.10003397, ..., 1.48643   , 1.6926566 ,
            1.6926566 ],
           [0.00292047, 0.03188552, 0.08258694, ..., 1.2507482 , 0.8699287 ,
            0.8699287 ]], shape=(2000, 49), dtype=float32)

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

    minval :

    0.0

    maxval :

    0.0

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

  • x_wind
    (trajectory, time)
    float32
    -3.263 -4.325 ... -4.544 -4.544

    minval :

    -11.683576

    maxval :

    3.0454047

    array([[-3.2628834 , -4.3245664 , -5.318402  , ..., -7.030407  ,
            -7.265616  , -7.265616  ],
           [ 0.17871696, -0.77378976, -1.6976545 , ..., -5.6571794 ,
            -6.1054063 , -6.1054063 ],
           [-7.4880548 , -7.5115743 , -7.6734743 , ..., -5.657293  ,
            -5.5599046 , -5.5599046 ],
           ...,
           [ 1.0029978 ,  0.64005053, -0.4483068 , ..., -7.4770026 ,
            -7.6024675 , -7.6024675 ],
           [-1.0226172 , -0.03861643, -0.32486072, ..., -7.6035194 ,
            -8.271811  , -8.271811  ],
           [-0.19938353,  0.08302922,  0.2781398 , ..., -5.5285563 ,
            -4.544189  , -4.544189  ]], shape=(2000, 49), dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    -2.404 -1.563 ... 3.836 3.836

    minval :

    -3.9360495

    maxval :

    10.558034

    array([[-2.404417  , -1.5629869 , -1.1165066 , ...,  1.9155012 ,
             1.8845003 ,  1.8845003 ],
           [ 4.478009  ,  4.7074857 ,  4.601063  , ...,  1.379165  ,
             1.1886948 ,  1.1886948 ],
           [-1.2401419 , -1.2246252 , -1.0647843 , ...,  2.8675203 ,
             2.9143012 ,  2.9143012 ],
           ...,
           [ 3.479097  ,  3.8535838 ,  4.373131  , ...,  2.4730773 ,
             2.3461814 ,  2.3461814 ],
           [-2.0294583 , -1.8483572 , -1.9901978 , ...,  1.6156975 ,
             0.61994475,  0.61994475],
           [ 0.28100607,  1.1354582 ,  1.8110304 , ...,  4.503164  ,
             3.835793  ,  3.835793  ]], 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 90.57 89.55 ... 68.15 68.15

    minval :

    39.952007

    maxval :

    223.75987

    array([[ 91.5983  ,  90.56529 ,  89.55112 , ...,  51.24286 ,  50.420475,
             50.420475],
           [ 94.49078 ,  93.9947  ,  93.25755 , ...,  54.096977,  54.016014,
             54.016014],
           [ 86.55411 ,  85.48597 ,  84.39587 , ...,  48.069695,  48.176346,
             48.176346],
           ...,
           [131.81073 , 132.0948  , 126.1817  , ..., 178.22847 , 178.21301 ,
            178.21301 ],
           [ 97.5854  , 100.31848 ,  94.18714 , ..., 186.34491 , 186.87445 ,
            186.87445 ],
           [122.13024 , 124.27027 , 119.45978 , ...,  61.802593,  68.148926,
             68.148926]], 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(['2025-12-05 09:30:31.000006', '2025-12-05 10:30:31.000006',
                   '2025-12-05 11:30:31.000006', '2025-12-05 12:30:31.000006',
                   '2025-12-05 13:30:31.000006', '2025-12-05 14:30:31.000006',
                   '2025-12-05 15:30:31.000006', '2025-12-05 16:30:31.000006',
                   '2025-12-05 17:30:31.000006', '2025-12-05 18:30:31.000006',
                   '2025-12-05 19:30:31.000006', '2025-12-05 20:30:31.000006',
                   '2025-12-05 21:30:31.000006', '2025-12-05 22:30:31.000006',
                   '2025-12-05 23:30:31.000006', '2025-12-06 00:30:31.000006',
                   '2025-12-06 01:30:31.000006', '2025-12-06 02:30:31.000006',
                   '2025-12-06 03:30:31.000006', '2025-12-06 04:30:31.000006',
                   '2025-12-06 05:30:31.000006', '2025-12-06 06:30:31.000006',
                   '2025-12-06 07:30:31.000006', '2025-12-06 08:30:31.000006',
                   '2025-12-06 09:30:31.000006', '2025-12-06 10:30:31.000006',
                   '2025-12-06 11:30:31.000006', '2025-12-06 12:30:31.000006',
                   '2025-12-06 13:30:31.000006', '2025-12-06 14:30:31.000006',
                   '2025-12-06 15:30:31.000006', '2025-12-06 16:30:31.000006',
                   '2025-12-06 17:30:31.000006', '2025-12-06 18:30:31.000006',
                   '2025-12-06 19:30:31.000006', '2025-12-06 20:30:31.000006',
                   '2025-12-06 21:30:31.000006', '2025-12-06 22:30:31.000006',
                   '2025-12-06 23:30:31.000006', '2025-12-07 00:30:31.000006',
                   '2025-12-07 01:30:31.000006', '2025-12-07 02:30:31.000006',
                   '2025-12-07 03:30:31.000006', '2025-12-07 04:30:31.000006',
                   '2025-12-07 05:30:31.000006', '2025-12-07 06:30:31.000006',
                   '2025-12-07 07:30:31.000006', '2025-12-07 08:30:31.000006',
                   '2025-12-07 09:30:31.000006'],
                  dtype='datetime64[ns]', name='time', freq='h'))

• Attributes: (140)

  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 2025-12-05 09:30:35.027431

  date_created :

  2025-12-05T09:30:35.027446

  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 :

  2025-12-05 09:30:31.000006

  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:horizontal_diffusivity :

  0

  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 :

  1.14.7

  seed_geojson :

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

  simulation_time :

  2025-12-05 09:30:35.035442

  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 :

  2025-12-07 09:30:31.000006

  time_coverage_duration :

  P2DT0H0M0S

  time_coverage_resolution :

  P0DT1H0M0S

  performance :

  -------------------- Reader performance: -------------------- global_landmask 0:00:01.5 total 0:00:00.0 preparing 0:00:01.5 reading 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml 0:00:58.8 total 0:00:00.0 preparing 0:00:58.6 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 0:01:09.7 total 0:00:00.0 preparing 0:01:09.5 reading 0:00:01.1 interpolation 0:00:00.0 interpolation_time 0:00:00.1 rotating vectors 0:00:00.0 masking -------------------- Performance: 2:28.3 total time 4.0 configuration 0.0 preparing main loop 0.0 moving elements to ocean 2:24.2 main loop 4.0 updating elements 4.0 vertical mixing 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  67.73068

  geospatial_lat_max :

  68.48148

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  12.342134

  geospatial_lon_max :

  14.129527

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:02:28.388816

  geospatial_vertical_min :

  -51.6156

  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
 0:00:01.5  total
 0:00:00.0  preparing
 0:00:01.5  reading
 0:00:00.0  masking
--------------------
https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
 0:00:58.8  total
 0:00:00.0  preparing
 0:00:58.6  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
 0:01:09.7  total
 0:00:00.0  preparing
 0:01:09.5  reading
 0:00:01.1  interpolation
 0:00:00.0  interpolation_time
 0:00:00.1  rotating vectors
 0:00:00.0  masking
--------------------
Performance:
 2:28.3 total time
    4.0 configuration
    0.0 preparing main loop
      0.0 moving elements to ocean
 2:24.2 main loop
      4.0 updating elements
        4.0 vertical mixing
    0.0 cleaning up
--------------------
===========================
Model:  PelagicEggDrift     (OpenDrift version 1.14.7)
        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: 2025-12-05 09:30:31.000006 UTC
        Present: 2025-12-07 09:30:31.000006 UTC
        Calculation steps: 48 * 1:00:00 - total time: 2 days, 0:00:00
        Output steps: 49 * 1:00:00
===========================

09:32:59 WARNING opendrift:2473: Plotting fast. This will make your plots less accurate.
09:33:06 WARNING opendrift:2473: Plotting fast. This will make your plots less accurate.
09:33:07 INFO    opendrift:4656: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_0.gif...
09:33:45 INFO    opendrift:3091: Time to make animation: 0:00:39.721259

o.animate_vertical_distribution()

09:33:47 INFO    opendrift:4656: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_1.gif...
09:34:00 INFO    opendrift.models.oceandrift:643: Time to make animation: 0:00:13.223007