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'])

14:04:54 INFO    opendrift:569: OpenDriftSimulation initialised (version 1.14.11 / v1.14.12-9-g6f1a4a0)

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)

14:04:54 INFO    opendrift.models.basemodel.environment:203: Adding a global landmask from GSHHG
14:05:00 INFO    opendrift.models.basemodel.environment:227: Fallback values will be used for the following variables which have no readers:
14:05:00 INFO    opendrift.models.basemodel.environment:230:    x_sea_water_velocity: 0.000000
14:05:00 INFO    opendrift.models.basemodel.environment:230:    y_sea_water_velocity: 0.000000
14:05:00 INFO    opendrift.models.basemodel.environment:230:    sea_surface_height: 0.000000
14:05:00 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_significant_height: 0.000000
14:05:00 INFO    opendrift.models.basemodel.environment:230:    sea_ice_area_fraction: 0.000000
14:05:00 INFO    opendrift.models.basemodel.environment:230:    x_wind: 0.000000
14:05:00 INFO    opendrift.models.basemodel.environment:230:    y_wind: 0.000000
14:05:00 INFO    opendrift.models.basemodel.environment:230:    sea_floor_depth_below_sea_level: 100.000000
14:05:00 INFO    opendrift.models.basemodel.environment:230:    ocean_vertical_diffusivity: 0.020000
14:05:00 INFO    opendrift.models.basemodel.environment:230:    ocean_mixed_layer_thickness: 50.000000
14:05:00 INFO    opendrift.models.basemodel.environment:230:    sea_water_temperature: 10.000000
14:05:00 INFO    opendrift.models.basemodel.environment:230:    sea_water_salinity: 34.000000
14:05:00 INFO    opendrift.models.basemodel.environment:230:    surface_downward_x_stress: 0.000000
14:05:00 INFO    opendrift.models.basemodel.environment:230:    surface_downward_y_stress: 0.000000
14:05:00 INFO    opendrift.models.basemodel.environment:230:    turbulent_kinetic_energy: 0.000000
14:05:00 INFO    opendrift.models.basemodel.environment:230:    turbulent_generic_length_scale: 0.000000
14:05:00 INFO    opendrift.models.basemodel.environment:230:    upward_sea_water_velocity: 0.000000

Running model

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

14:05:00 INFO    opendrift:1921: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
14:05:00 INFO    opendrift:1921: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
14:05:00 INFO    opendrift:958: Using existing reader for land_binary_mask to move elements to ocean
14:05:00 INFO    opendrift:989: All points are in ocean
14:05:00 INFO    opendrift:2237: 2026-09-10 14:04:54.367870 - step 1 of 48 - 2000 active elements (0 deactivated)
14:05:00 INFO    opendrift.readers:67: Opening file with xr.open_dataset
14:05:02 INFO    opendrift.readers.reader_netCDF_CF_generic:340: Detected dimensions: {'x': 'x', 'y': 'y', 'time': 'time'}
14:05:02 INFO    opendrift.readers:67: Opening file with xr.open_dataset
14:05:03 INFO    opendrift.readers.reader_netCDF_CF_generic:340: Detected dimensions: {'time': 'time', 'x': 'x', 'y': 'y'}
14:05:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:06 INFO    opendrift:2237: 2026-09-10 15:04:54.367870 - step 2 of 48 - 2000 active elements (0 deactivated)
14:05:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:08 INFO    opendrift:2237: 2026-09-10 16:04:54.367870 - step 3 of 48 - 2000 active elements (0 deactivated)
14:05:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:10 INFO    opendrift:2237: 2026-09-10 17:04:54.367870 - step 4 of 48 - 2000 active elements (0 deactivated)
14:05:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:12 INFO    opendrift:2237: 2026-09-10 18:04:54.367870 - step 5 of 48 - 2000 active elements (0 deactivated)
14:05:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:14 INFO    opendrift:2237: 2026-09-10 19:04:54.367870 - step 6 of 48 - 2000 active elements (0 deactivated)
14:05:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:16 INFO    opendrift:2237: 2026-09-10 20:04:54.367870 - step 7 of 48 - 2000 active elements (0 deactivated)
14:05:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:18 INFO    opendrift:2237: 2026-09-10 21:04:54.367870 - step 8 of 48 - 2000 active elements (0 deactivated)
14:05:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:21 INFO    opendrift:2237: 2026-09-10 22:04:54.367870 - step 9 of 48 - 2000 active elements (0 deactivated)
14:05:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:24 INFO    opendrift:2237: 2026-09-10 23:04:54.367870 - step 10 of 48 - 2000 active elements (0 deactivated)
14:05:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:26 INFO    opendrift:2237: 2026-09-11 00:04:54.367870 - step 11 of 48 - 2000 active elements (0 deactivated)
14:05:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:28 INFO    opendrift:2237: 2026-09-11 01:04:54.367870 - step 12 of 48 - 2000 active elements (0 deactivated)
14:05:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:31 INFO    opendrift:2237: 2026-09-11 02:04:54.367870 - step 13 of 48 - 2000 active elements (0 deactivated)
14:05:35 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:35 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:35 INFO    opendrift:2237: 2026-09-11 03:04:54.367870 - step 14 of 48 - 2000 active elements (0 deactivated)
14:05:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:38 INFO    opendrift:2237: 2026-09-11 04:04:54.367870 - step 15 of 48 - 2000 active elements (0 deactivated)
14:05:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:40 INFO    opendrift:2237: 2026-09-11 05:04:54.367870 - step 16 of 48 - 2000 active elements (0 deactivated)
14:05:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:42 INFO    opendrift:2237: 2026-09-11 06:04:54.367870 - step 17 of 48 - 2000 active elements (0 deactivated)
14:05:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:44 INFO    opendrift:2237: 2026-09-11 07:04:54.367870 - step 18 of 48 - 2000 active elements (0 deactivated)
14:05:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:47 INFO    opendrift:2237: 2026-09-11 08:04:54.367870 - step 19 of 48 - 2000 active elements (0 deactivated)
14:05:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:49 INFO    opendrift:2237: 2026-09-11 09:04:54.367870 - step 20 of 48 - 2000 active elements (0 deactivated)
14:05:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:51 INFO    opendrift:2237: 2026-09-11 10:04:54.367870 - step 21 of 48 - 2000 active elements (0 deactivated)
14:05:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:53 INFO    opendrift:2237: 2026-09-11 11:04:54.367870 - step 22 of 48 - 2000 active elements (0 deactivated)
14:05:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:55 INFO    opendrift:2237: 2026-09-11 12:04:54.367870 - step 23 of 48 - 2000 active elements (0 deactivated)
14:05:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:05:58 INFO    opendrift:2237: 2026-09-11 13:04:54.367870 - step 24 of 48 - 2000 active elements (0 deactivated)
14:06:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:01 INFO    opendrift:2237: 2026-09-11 14:04:54.367870 - step 25 of 48 - 2000 active elements (0 deactivated)
14:06:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:03 INFO    opendrift:2237: 2026-09-11 15:04:54.367870 - step 26 of 48 - 2000 active elements (0 deactivated)
14:06:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:05 INFO    opendrift:2237: 2026-09-11 16:04:54.367870 - step 27 of 48 - 2000 active elements (0 deactivated)
14:06:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:07 INFO    opendrift:2237: 2026-09-11 17:04:54.367870 - step 28 of 48 - 2000 active elements (0 deactivated)
14:06:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:10 INFO    opendrift:2237: 2026-09-11 18:04:54.367870 - step 29 of 48 - 2000 active elements (0 deactivated)
14:06:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:12 INFO    opendrift:2237: 2026-09-11 19:04:54.367870 - step 30 of 48 - 2000 active elements (0 deactivated)
14:06:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:14 INFO    opendrift:2237: 2026-09-11 20:04:54.367870 - step 31 of 48 - 2000 active elements (0 deactivated)
14:06:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:16 INFO    opendrift:2237: 2026-09-11 21:04:54.367870 - step 32 of 48 - 2000 active elements (0 deactivated)
14:06:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:18 INFO    opendrift:2237: 2026-09-11 22:04:54.367870 - step 33 of 48 - 2000 active elements (0 deactivated)
14:06:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:20 INFO    opendrift:2237: 2026-09-11 23:04:54.367870 - step 34 of 48 - 2000 active elements (0 deactivated)
14:06:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:22 INFO    opendrift:2237: 2026-09-12 00:04:54.367870 - step 35 of 48 - 2000 active elements (0 deactivated)
14:06:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:26 INFO    opendrift:2237: 2026-09-12 01:04:54.367870 - step 36 of 48 - 2000 active elements (0 deactivated)
14:06:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:28 INFO    opendrift:2237: 2026-09-12 02:04:54.367870 - step 37 of 48 - 2000 active elements (0 deactivated)
14:06:30 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:30 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:30 INFO    opendrift:2237: 2026-09-12 03:04:54.367870 - step 38 of 48 - 2000 active elements (0 deactivated)
14:06:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:32 INFO    opendrift:2237: 2026-09-12 04:04:54.367870 - step 39 of 48 - 2000 active elements (0 deactivated)
14:06:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:34 INFO    opendrift:2237: 2026-09-12 05:04:54.367870 - step 40 of 48 - 2000 active elements (0 deactivated)
14:06:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:37 INFO    opendrift:2237: 2026-09-12 06:04:54.367870 - step 41 of 48 - 2000 active elements (0 deactivated)
14:06:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:39 INFO    opendrift:2237: 2026-09-12 07:04:54.367870 - step 42 of 48 - 2000 active elements (0 deactivated)
14:06:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:41 INFO    opendrift:2237: 2026-09-12 08:04:54.367870 - step 43 of 48 - 2000 active elements (0 deactivated)
14:06:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:43 INFO    opendrift:2237: 2026-09-12 09:04:54.367870 - step 44 of 48 - 2000 active elements (0 deactivated)
14:06:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:45 INFO    opendrift:2237: 2026-09-12 10:04:54.367870 - step 45 of 48 - 2000 active elements (0 deactivated)
14:06:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:48 INFO    opendrift:2237: 2026-09-12 11:04:54.367870 - step 46 of 48 - 2000 active elements (0 deactivated)
14:06:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:51 INFO    opendrift:2237: 2026-09-12 12:04:54.367870 - step 47 of 48 - 2000 active elements (0 deactivated)
14:06:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:54 INFO    opendrift:2237: 2026-09-12 13:04:54.367870 - step 48 of 48 - 2000 active elements (0 deactivated)
14:06:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:06:56 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 2026-09-1...
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:                                                          0:02:02...
    geospatial_vertical_min:                                          -52.39278
    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]
    2026-09-10T14:04:54.367870 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2026-09-10T14:04:54.367870000', '2026-09-10T15:04:54.367870000',
           '2026-09-10T16:04:54.367870000', '2026-09-10T17:04:54.367870000',
           '2026-09-10T18:04:54.367870000', '2026-09-10T19:04:54.367870000',
           '2026-09-10T20:04:54.367870000', '2026-09-10T21:04:54.367870000',
           '2026-09-10T22:04:54.367870000', '2026-09-10T23:04:54.367870000',
           '2026-09-11T00:04:54.367870000', '2026-09-11T01:04:54.367870000',
           '2026-09-11T02:04:54.367870000', '2026-09-11T03:04:54.367870000',
           '2026-09-11T04:04:54.367870000', '2026-09-11T05:04:54.367870000',
           '2026-09-11T06:04:54.367870000', '2026-09-11T07:04:54.367870000',
           '2026-09-11T08:04:54.367870000', '2026-09-11T09:04:54.367870000',
           '2026-09-11T10:04:54.367870000', '2026-09-11T11:04:54.367870000',
           '2026-09-11T12:04:54.367870000', '2026-09-11T13:04:54.367870000',
           '2026-09-11T14:04:54.367870000', '2026-09-11T15:04:54.367870000',
           '2026-09-11T16:04:54.367870000', '2026-09-11T17:04:54.367870000',
           '2026-09-11T18:04:54.367870000', '2026-09-11T19:04:54.367870000',
           '2026-09-11T20:04:54.367870000', '2026-09-11T21:04:54.367870000',
           '2026-09-11T22:04:54.367870000', '2026-09-11T23:04:54.367870000',
           '2026-09-12T00:04:54.367870000', '2026-09-12T01:04:54.367870000',
           '2026-09-12T02:04:54.367870000', '2026-09-12T03:04:54.367870000',
           '2026-09-12T04:04:54.367870000', '2026-09-12T05:04:54.367870000',
           '2026-09-12T06:04:54.367870000', '2026-09-12T07:04:54.367870000',
           '2026-09-12T08:04:54.367870000', '2026-09-12T09:04:54.367870000',
           '2026-09-12T10:04:54.367870000', '2026-09-12T11:04:54.367870000',
           '2026-09-12T12:04:54.367870000', '2026-09-12T13:04:54.367870000',
           '2026-09-12T14:04:54.367870000'], 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 14.09 ... 13.22 13.2

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    12.355632

    maxval :

    14.481682

    array([[14.084752 , 14.088216 , 14.094696 , ..., 14.402934 , 14.417809 ,
            14.427244 ],
           [14.019218 , 14.022296 , 14.029195 , ..., 14.33569  , 14.349532 ,
            14.358806 ],
           [14.047049 , 14.051082 , 14.058149 , ..., 14.322266 , 14.333077 ,
            14.340407 ],
           ...,
           [13.055853 , 13.028681 , 13.0106535, ..., 13.203588 , 13.200197 ,
            13.180532 ],
           [13.005157 , 12.979322 , 12.966382 , ..., 13.159214 , 13.149815 ,
            13.126551 ],
           [13.002091 , 12.97418  , 12.959072 , ..., 13.21957  , 13.217113 ,
            13.1987505]], shape=(2000, 49), dtype=float32)

  • lat
    (trajectory, time)
    float32
    68.11 68.11 68.11 ... 67.66 67.65

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    67.60875

    maxval :

    68.43732

    array([[68.10684 , 68.107544, 68.107994, ..., 68.15503 , 68.15549 ,
            68.15483 ],
           [68.09939 , 68.10058 , 68.101616, ..., 68.1469  , 68.1475  ,
            68.14684 ],
           [68.11965 , 68.120514, 68.120964, ..., 68.16087 , 68.16228 ,
            68.16251 ],
           ...,
           [67.79944 , 67.79898 , 67.80095 , ..., 67.68562 , 67.6769  ,
            67.67033 ],
           [67.82828 , 67.83105 , 67.83602 , ..., 67.805275, 67.80027 ,
            67.79624 ],
           [67.78542 , 67.78776 , 67.79248 , ..., 67.66412 , 67.655655,
            67.64913 ]], shape=(2000, 49), dtype=float32)

  • z
    (trajectory, time)
    float32
    -40.0 -46.63 ... -36.01 -41.29

    dtype :

    <class 'numpy.float32'>

    units :

    m

    standard_name :

    z

    long_name :

    vertical position

    axis :

    Z

    positive :

    up

    minval :

    -52.39278

    maxval :

    0.0

    array([[-40.       , -46.62636  , -44.356876 , ...,  -3.9134343,
             -1.7143681,  -0.6632973],
           [-40.       , -46.065514 , -45.874176 , ..., -13.041219 ,
            -12.489746 , -42.680443 ],
           [-40.       , -27.19427  , -10.182766 , ..., -10.481172 ,
             -3.0808618, -11.12143  ],
           ...,
           [-40.       , -37.811306 , -35.09068  , ..., -34.016388 ,
            -35.34711  , -38.65049  ],
           [-40.       , -28.516289 , -12.891036 , ..., -24.794226 ,
             -2.3398695,  -9.096016 ],
           [-40.       , -41.61491  , -25.547533 , ..., -37.17446  ,
            -36.005505 , -41.29376  ]], 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
    0.04005 0.07494 ... -0.2165 -0.2165

    minval :

    -1.0613196

    maxval :

    0.8219452

    array([[ 0.04004872,  0.07493713,  0.10738162, ...,  0.1716323 ,
             0.10888384,  0.10888384],
           [ 0.03559281,  0.07979302,  0.11852846, ...,  0.1597853 ,
             0.10704113,  0.10704113],
           [ 0.04661044,  0.08167666,  0.11192672, ...,  0.12472899,
             0.08455005,  0.08455005],
           ...,
           [-0.31840038, -0.21122105, -0.03764801, ..., -0.03993655,
            -0.23169875, -0.23169875],
           [-0.30232015, -0.15139282,  0.05897358, ..., -0.11013532,
            -0.27262723, -0.27262723],
           [-0.32721746, -0.17707942,  0.04262476, ..., -0.02897807,
            -0.21653667, -0.21653667]], shape=(2000, 49), dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    0.02172 0.01406 ... -0.202 -0.202

    minval :

    -0.57003367

    maxval :

    1.0003299

    array([[ 0.02171752,  0.01405787,  0.00334887, ...,  0.01420989,
            -0.02024541, -0.02024541],
           [ 0.03682543,  0.03209892,  0.02049705, ...,  0.01880675,
            -0.02027259, -0.02027259],
           [ 0.02674071,  0.01393329, -0.00292444, ...,  0.04343356,
             0.00733462,  0.00733462],
           ...,
           [-0.01402993,  0.0608396 ,  0.0884727 , ..., -0.27005535,
            -0.20377117, -0.20377117],
           [ 0.08595123,  0.15411659,  0.15182655, ..., -0.15518749,
            -0.1247226 , -0.1247226 ],
           [ 0.07247629,  0.14614552,  0.1452891 , ..., -0.2624761 ,
            -0.20203109, -0.20203109]], shape=(2000, 49), dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    -0.3394 -0.829 ... 0.8331 0.8331

    minval :

    -1.6573186

    maxval :

    1.2444602

    array([[-0.33943123, -0.82903725, -1.1579314 , ...,  1.1502416 ,
             1.0087731 ,  1.0087731 ],
           [-0.3386131 , -0.8271415 , -1.1557367 , ...,  1.1478301 ,
             1.0067635 ,  1.0067635 ],
           [-0.33767325, -0.82745826, -1.1570606 , ...,  1.1479046 ,
             1.0077101 ,  1.0077101 ],
           ...,
           [-0.35717642, -0.8056194 , -1.1094989 , ...,  0.9796889 ,
             0.83668125,  0.83668125],
           [-0.34732655, -0.7959008 , -1.1031328 , ...,  0.99703985,
             0.8676727 ,  0.8676727 ],
           [-0.3609159 , -0.8049103 , -1.1052421 , ...,  0.9789123 ,
             0.8331106 ,  0.8331106 ]], shape=(2000, 49), dtype=float32)

  • sea_surface_wave_significant_height
    (trajectory, time)
    float32
    0.8906 1.007 1.164 ... 2.693 2.693

    minval :

    0.13512374

    maxval :

    7.386567

    array([[0.8905582 , 1.0069661 , 1.1642659 , ..., 1.8078749 , 1.5151825 ,
            1.5151825 ],
           [1.293298  , 1.1307119 , 1.1315352 , ..., 2.691097  , 2.6017692 ,
            2.6017692 ],
           [1.1299343 , 1.128164  , 1.1386881 , ..., 1.46272   , 1.2021745 ,
            1.2021745 ],
           ...,
           [1.1092803 , 0.92379713, 1.130242  , ..., 3.2491517 , 2.873127  ,
            2.873127  ],
           [1.2504278 , 1.1136184 , 1.1073515 , ..., 3.8461943 , 4.184793  ,
            4.184793  ],
           [1.3245797 , 1.3390311 , 1.2902682 , ..., 2.924857  , 2.6931677 ,
            2.6931677 ]], 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
    3.998 3.753 4.173 ... 1.97 1.97

    minval :

    -9.3151455

    maxval :

    12.80752

    array([[3.998128  , 3.7534895 , 4.173323  , ..., 1.6334213 , 0.85825145,
            0.85825145],
           [4.238188  , 3.9351635 , 4.886637  , ..., 2.6379201 , 3.3956904 ,
            3.3956904 ],
           [4.1777196 , 4.802729  , 4.7766185 , ..., 2.4113176 , 1.6849073 ,
            1.6849073 ],
           ...,
           [5.6021504 , 4.2540174 , 4.3603125 , ..., 2.8932874 , 2.1687853 ,
            2.1687853 ],
           [6.2543387 , 5.3961883 , 4.7778363 , ..., 2.6478097 , 2.4679873 ,
            2.4679873 ],
           [6.321802  , 6.233399  , 5.3259897 , ..., 2.2156968 , 1.9700503 ,
            1.9700503 ]], shape=(2000, 49), dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    4.496 5.181 5.469 ... 10.28 10.28

    minval :

    -1.1376038

    maxval :

    16.99471

    array([[ 4.4962792,  5.181206 ,  5.469118 , ...,  8.4156275,  7.8010383,
             7.8010383],
           [ 5.883099 ,  5.520724 ,  4.702993 , ..., 10.121045 ,  9.707331 ,
             9.707331 ],
           [ 5.336567 ,  4.774319 ,  4.8447957, ...,  7.3243237,  6.784539 ,
             6.784539 ],
           ...,
           [ 3.702514 ,  4.4109035,  5.189651 , ..., 11.122419 , 10.587264 ,
            10.587264 ],
           [ 3.4225209,  4.01873  ,  4.7102623, ..., 12.220412 , 12.80713  ,
            12.80713  ],
           [ 3.7255232,  3.946758 ,  4.9075212, ..., 10.676484 , 10.276053 ,
            10.276053 ]], 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 91.25 90.98 ... 231.8 231.8

    minval :

    29.743256

    maxval :

    236.53833

    array([[ 91.59824 ,  91.24778 ,  90.98313 , ...,  88.248505,  93.86259 ,
             93.86259 ],
           [ 94.49005 ,  94.58094 ,  94.98685 , ...,  74.13809 ,  78.61973 ,
             78.61973 ],
           [ 86.55401 ,  86.06371 ,  85.6988  , ...,  59.121616,  60.04329 ,
             60.04329 ],
           ...,
           [131.81262 , 123.09849 , 115.97186 , ..., 222.59937 , 225.53064 ,
            225.53064 ],
           [ 97.5854  ,  87.152145,  79.70356 , ..., 152.37543 , 153.20432 ,
            153.20432 ],
           [122.130585, 110.916985, 102.93461 , ..., 230.46646 , 231.80412 ,
            231.80412 ]], shape=(2000, 49), dtype=float32)

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

    minval :

    0.02

    maxval :

    0.02

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

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

    minval :

    50.0

    maxval :

    50.0

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

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

    minval :

    10.0

    maxval :

    10.0

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

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

    minval :

    34.0

    maxval :

    34.0

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

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

    minval :

    0.0

    maxval :

    0.0

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

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

    minval :

    0.0

    maxval :

    0.0

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

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

    minval :

    0.0

    maxval :

    0.0

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

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

    minval :

    0.0

    maxval :

    0.0

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

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

    minval :

    0.0

    maxval :

    0.0

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

• Attributes: (139)

  Conventions :

  CF-1.11, ACDD-1.3

  standard_name_vocabulary :

  CF Standard Name Table v85

  featureType :

  trajectory

  title :

  OpenDrift trajectory simulation

  summary :

  Output from simulation with OpenDrift framework

  keywords :

  trajectory, drift, lagrangian, simulation

  history :

  Created 2026-09-10 14:05:00.509037

  date_created :

  2026-09-10T14:05:00.509048

  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 :

  2026-09-10 14:04:54.367870

  time_step_calculation :

  1:00:00

  time_step_output :

  1:00:00

  config_environment:constant:x_sea_water_velocity :

  None

  config_environment:fallback:x_sea_water_velocity :

  0

  config_environment:constant:y_sea_water_velocity :

  None

  config_environment:fallback:y_sea_water_velocity :

  0

  config_environment:constant:sea_surface_height :

  None

  config_environment:fallback:sea_surface_height :

  0

  config_environment:constant:sea_surface_wave_significant_height :

  None

  config_environment:fallback:sea_surface_wave_significant_height :

  0

  config_environment:constant:sea_ice_area_fraction :

  None

  config_environment:fallback:sea_ice_area_fraction :

  0

  config_environment:constant:x_wind :

  None

  config_environment:fallback:x_wind :

  0

  config_environment:constant:y_wind :

  None

  config_environment:fallback:y_wind :

  0

  config_environment:constant:land_binary_mask :

  None

  config_environment:fallback:land_binary_mask :

  None

  config_environment:constant:sea_floor_depth_below_sea_level :

  None

  config_environment:fallback:sea_floor_depth_below_sea_level :

  100

  config_environment:constant:ocean_vertical_diffusivity :

  None

  config_environment:fallback:ocean_vertical_diffusivity :

  0.02

  config_environment:constant:ocean_mixed_layer_thickness :

  None

  config_environment:fallback:ocean_mixed_layer_thickness :

  50

  config_environment:constant:sea_water_temperature :

  None

  config_environment:fallback:sea_water_temperature :

  10

  config_environment:constant:sea_water_salinity :

  None

  config_environment:fallback:sea_water_salinity :

  34

  config_environment:constant:surface_downward_x_stress :

  None

  config_environment:fallback:surface_downward_x_stress :

  0

  config_environment:constant:surface_downward_y_stress :

  None

  config_environment:fallback:surface_downward_y_stress :

  0

  config_environment:constant:turbulent_kinetic_energy :

  None

  config_environment:fallback:turbulent_kinetic_energy :

  0

  config_environment:constant:turbulent_generic_length_scale :

  None

  config_environment:fallback:turbulent_generic_length_scale :

  0

  config_environment:constant:upward_sea_water_velocity :

  None

  config_environment:fallback:upward_sea_water_velocity :

  0

  config_general:use_auto_landmask :

  True

  config_drift:current_uncertainty :

  0

  config_drift:current_uncertainty_uniform :

  0

  config_drift:max_speed :

  2.0

  config_readers:max_number_of_fails :

  1

  config_general:simulation_name :

  config_general:coastline_action :

  previous

  config_general:coastline_approximation_precision :

  0.001

  config_general:time_step_minutes :

  60

  config_general:time_step_output_minutes :

  None

  config_seed:ocean_only :

  True

  config_seed:number :

  1

  config_drift:max_age_seconds :

  None

  config_drift:advection_scheme :

  euler

  config_drift:profiles_depth :

  50

  config_drift:wind_uncertainty :

  0

  config_drift:relative_wind :

  False

  config_drift:deactivate_north_of :

  None

  config_drift:deactivate_south_of :

  None

  config_drift:deactivate_east_of :

  None

  config_drift:deactivate_west_of :

  None

  config_seed:origin_marker :

  0

  config_seed:z :

  0

  config_seed:wind_drift_factor :

  0.02

  config_seed:current_drift_factor :

  1

  config_seed:terminal_velocity :

  0.0

  config_seed:diameter :

  0.0014

  config_seed:neutral_buoyancy_salinity :

  31.25

  config_seed:density :

  1028.0

  config_seed:hatched :

  0.0

  config_drift:vertical_advection :

  True

  config_drift:vertical_advection_at_surface :

  True

  config_drift:water_column_stretching :

  False

  config_drift:vertical_advection_correction :

  False

  config_drift:vertical_mixing :

  True

  config_drift:vertical_mixing_at_surface :

  True

  config_vertical_mixing:timestep :

  60.0

  config_vertical_mixing:diffusivitymodel :

  windspeed_Sundby1983

  config_vertical_mixing:background_diffusivity :

  1.2e-05

  config_vertical_mixing:TSprofiles :

  False

  config_drift:wind_drift_depth :

  0.1

  config_drift:stokes_drift :

  True

  config_drift:stokes_drift_profile :

  Phillips

  config_drift:use_tabularised_stokes_drift :

  False

  config_drift:tabularised_stokes_drift_fetch :

  25000

  config_general:seafloor_action :

  lift_to_seafloor

  config_drift:truncate_ocean_model_below_m :

  None

  config_seed:seafloor :

  False

  opendrift_version :

  1.14.11

  seed_geojson :

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

  simulation_time :

  2026-09-10 14:05:00.760060

  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 :

  2026-09-12 14:04:54.367870

  time_coverage_duration :

  P2DT0H0M0S

  time_coverage_resolution :

  P0DT1H0M0S

  performance :

  -------------------- Reader performance: -------------------- global_landmask 0:00:00.0 total 0:00:00.0 preparing 0:00:00.0 reading 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml 0:01:06.1 total 0:00:00.0 preparing 0:01:05.9 reading 0:00:00.1 interpolation 0:00:00.0 interpolation_time 0:00:00.1 rotating vectors 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc 0:00:40.4 total 0:00:00.0 preparing 0:00:40.2 reading 0:00:01.0 interpolation 0:00:00.0 interpolation_time 0:00:00.1 rotating vectors 0:00:00.0 masking -------------------- Performance: 2:02.3 total time 6.1 configuration 0.2 preparing main loop 0.0 moving elements to ocean 1:55.9 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 :

  67.60875

  geospatial_lat_max :

  68.43732

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  12.355632

  geospatial_lon_max :

  14.481682

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:02:02.343228

  geospatial_vertical_min :

  -52.39278

  geospatial_vertical_max :

  0.0

  geospatial_vertical_positive :

  up

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

print(o)

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

===========================
--------------------
Reader performance:
--------------------
global_landmask
 0:00:00.0  total
 0:00:00.0  preparing
 0:00:00.0  reading
 0:00:00.0  masking
--------------------
https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
 0:01:06.1  total
 0:00:00.0  preparing
 0:01:05.9  reading
 0:00:00.1  interpolation
 0:00:00.0  interpolation_time
 0:00:00.1  rotating vectors
 0:00:00.0  masking
--------------------
https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc
 0:00:40.4  total
 0:00:00.0  preparing
 0:00:40.2  reading
 0:00:01.0  interpolation
 0:00:00.0  interpolation_time
 0:00:00.1  rotating vectors
 0:00:00.0  masking
--------------------
Performance:
 2:02.3 total time
    6.1 configuration
    0.2 preparing main loop
      0.0 moving elements to ocean
 1:55.9 main loop
      3.4 updating elements
        3.3 vertical mixing
    0.0 cleaning up
--------------------
===========================
Model:  PelagicEggDrift     (OpenDrift version 1.14.11)
        2000 active PelagicEgg particles  (0 deactivated, 0 scheduled)
-------------------
Environment variables:
  -----
  land_binary_mask
     1) global_landmask
  -----
  sea_floor_depth_below_sea_level
  sea_surface_height
  x_sea_water_velocity
  y_sea_water_velocity
     1) https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
  -----
  x_wind
  y_wind
     1) https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc
  -----
Readers not added for the following variables:
  ocean_mixed_layer_thickness
  ocean_vertical_diffusivity
  sea_ice_area_fraction
  sea_surface_wave_significant_height
  sea_water_salinity
  sea_water_temperature
  surface_downward_x_stress
  surface_downward_y_stress
  turbulent_generic_length_scale
  turbulent_kinetic_energy
  upward_sea_water_velocity

Discarded readers:

Time:
        Start: 2026-09-10 14:04:54.367870 UTC
        Present: 2026-09-12 14:04:54.367870 UTC
        Calculation steps: 48 * 1:00:00 - total time: 2 days, 0:00:00
        Output steps: 49 * 1:00:00
===========================

14:06:56 WARNING opendrift:2613: Plotting fast. This will make your plots less accurate.
14:07:03 WARNING opendrift:2613: Plotting fast. This will make your plots less accurate.
14:07:04 INFO    opendrift:4823: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_0.gif...
14:07:29 INFO    opendrift:3241: Time to make animation: 0:00:26.223709

o.animate_vertical_distribution()

14:07:31 INFO    opendrift:4823: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_1.gif...
14:07:40 INFO    opendrift.models.oceandrift:644: Time to make animation: 0:00:10.003529