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'])

09:29:13 INFO    opendrift:569: OpenDriftSimulation initialised (version 1.14.9 / v1.14.9-61-g2d35ef6)

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)

09:29:13 INFO    opendrift.models.basemodel.environment:203: Adding a global landmask from GSHHG
09:29:17 INFO    opendrift.models.basemodel.environment:227: Fallback values will be used for the following variables which have no readers:
09:29:17 INFO    opendrift.models.basemodel.environment:230:    x_sea_water_velocity: 0.000000
09:29:17 INFO    opendrift.models.basemodel.environment:230:    y_sea_water_velocity: 0.000000
09:29:17 INFO    opendrift.models.basemodel.environment:230:    sea_surface_height: 0.000000
09:29:17 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_significant_height: 0.000000
09:29:17 INFO    opendrift.models.basemodel.environment:230:    sea_ice_area_fraction: 0.000000
09:29:17 INFO    opendrift.models.basemodel.environment:230:    x_wind: 0.000000
09:29:17 INFO    opendrift.models.basemodel.environment:230:    y_wind: 0.000000
09:29:17 INFO    opendrift.models.basemodel.environment:230:    sea_floor_depth_below_sea_level: 100.000000
09:29:17 INFO    opendrift.models.basemodel.environment:230:    ocean_vertical_diffusivity: 0.020000
09:29:17 INFO    opendrift.models.basemodel.environment:230:    ocean_mixed_layer_thickness: 50.000000
09:29:17 INFO    opendrift.models.basemodel.environment:230:    sea_water_temperature: 10.000000
09:29:17 INFO    opendrift.models.basemodel.environment:230:    sea_water_salinity: 34.000000
09:29:17 INFO    opendrift.models.basemodel.environment:230:    surface_downward_x_stress: 0.000000
09:29:17 INFO    opendrift.models.basemodel.environment:230:    surface_downward_y_stress: 0.000000
09:29:17 INFO    opendrift.models.basemodel.environment:230:    turbulent_kinetic_energy: 0.000000
09:29:17 INFO    opendrift.models.basemodel.environment:230:    turbulent_generic_length_scale: 0.000000
09:29:17 INFO    opendrift.models.basemodel.environment:230:    upward_sea_water_velocity: 0.000000

Running model

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

09:29:17 INFO    opendrift:1914: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
09:29:17 INFO    opendrift:1914: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
09:29:17 INFO    opendrift:955: Using existing reader for land_binary_mask to move elements to ocean
09:29:17 INFO    opendrift:986: All points are in ocean
09:29:17 INFO    opendrift:2211: 2026-06-05 09:29:13.868280 - step 1 of 48 - 2000 active elements (0 deactivated)
09:29:17 INFO    opendrift.readers:67: Opening file with xr.open_dataset
09:29:20 INFO    opendrift.readers.reader_netCDF_CF_generic:340: Detected dimensions: {'x': 'x', 'y': 'y', 'time': 'time'}
09:29:20 INFO    opendrift.readers:67: Opening file with xr.open_dataset
09:29:21 INFO    opendrift.readers.reader_netCDF_CF_generic:340: Detected dimensions: {'time': 'time', 'x': 'x', 'y': 'y'}
09:29:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:26 INFO    opendrift:2211: 2026-06-05 10:29:13.868280 - step 2 of 48 - 2000 active elements (0 deactivated)
09:29:30 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:30 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:30 INFO    opendrift:2211: 2026-06-05 11:29:13.868280 - step 3 of 48 - 2000 active elements (0 deactivated)
09:29:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:33 INFO    opendrift:2211: 2026-06-05 12:29:13.868280 - step 4 of 48 - 2000 active elements (0 deactivated)
09:29:35 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:35 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:35 INFO    opendrift:2211: 2026-06-05 13:29:13.868280 - step 5 of 48 - 2000 active elements (0 deactivated)
09:29:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:38 INFO    opendrift:2211: 2026-06-05 14:29:13.868280 - step 6 of 48 - 2000 active elements (0 deactivated)
09:29:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:40 INFO    opendrift:2211: 2026-06-05 15:29:13.868280 - step 7 of 48 - 2000 active elements (0 deactivated)
09:29:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:42 INFO    opendrift:2211: 2026-06-05 16:29:13.868280 - step 8 of 48 - 2000 active elements (0 deactivated)
09:29:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:44 INFO    opendrift:2211: 2026-06-05 17:29:13.868280 - step 9 of 48 - 2000 active elements (0 deactivated)
09:29:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:46 INFO    opendrift:2211: 2026-06-05 18:29:13.868280 - step 10 of 48 - 2000 active elements (0 deactivated)
09:29:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:48 INFO    opendrift:2211: 2026-06-05 19:29:13.868280 - step 11 of 48 - 2000 active elements (0 deactivated)
09:29:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:50 INFO    opendrift:2211: 2026-06-05 20:29:13.868280 - step 12 of 48 - 2000 active elements (0 deactivated)
09:29:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:52 INFO    opendrift:2211: 2026-06-05 21:29:13.868280 - step 13 of 48 - 2000 active elements (0 deactivated)
09:29:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:55 INFO    opendrift:2211: 2026-06-05 22:29:13.868280 - step 14 of 48 - 2000 active elements (0 deactivated)
09:29:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:57 INFO    opendrift:2211: 2026-06-05 23:29:13.868280 - step 15 of 48 - 2000 active elements (0 deactivated)
09:29:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:29:59 INFO    opendrift:2211: 2026-06-06 00:29:13.868280 - step 16 of 48 - 2000 active elements (0 deactivated)
09:30:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:01 INFO    opendrift:2211: 2026-06-06 01:29:13.868280 - step 17 of 48 - 2000 active elements (0 deactivated)
09:30:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:03 INFO    opendrift:2211: 2026-06-06 02:29:13.868280 - step 18 of 48 - 2000 active elements (0 deactivated)
09:30:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:05 INFO    opendrift:2211: 2026-06-06 03:29:13.868280 - step 19 of 48 - 2000 active elements (0 deactivated)
09:30:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:08 INFO    opendrift:2211: 2026-06-06 04:29:13.868280 - step 20 of 48 - 2000 active elements (0 deactivated)
09:30:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:10 INFO    opendrift:2211: 2026-06-06 05:29:13.868280 - step 21 of 48 - 2000 active elements (0 deactivated)
09:30:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:12 INFO    opendrift:2211: 2026-06-06 06:29:13.868280 - step 22 of 48 - 2000 active elements (0 deactivated)
09:30:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:14 INFO    opendrift:2211: 2026-06-06 07:29:13.868280 - step 23 of 48 - 2000 active elements (0 deactivated)
09:30:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:17 INFO    opendrift:2211: 2026-06-06 08:29:13.868280 - step 24 of 48 - 2000 active elements (0 deactivated)
09:30:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:19 INFO    opendrift:2211: 2026-06-06 09:29:13.868280 - step 25 of 48 - 2000 active elements (0 deactivated)
09:30:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:21 INFO    opendrift:2211: 2026-06-06 10:29:13.868280 - step 26 of 48 - 2000 active elements (0 deactivated)
09:30:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:24 INFO    opendrift:2211: 2026-06-06 11:29:13.868280 - step 27 of 48 - 2000 active elements (0 deactivated)
09:30:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:26 INFO    opendrift:2211: 2026-06-06 12:29:13.868280 - step 28 of 48 - 2000 active elements (0 deactivated)
09:30:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:29 INFO    opendrift:2211: 2026-06-06 13:29:13.868280 - step 29 of 48 - 2000 active elements (0 deactivated)
09:30:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:31 INFO    opendrift:2211: 2026-06-06 14:29:13.868280 - step 30 of 48 - 2000 active elements (0 deactivated)
09:30:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:34 INFO    opendrift:2211: 2026-06-06 15:29:13.868280 - step 31 of 48 - 2000 active elements (0 deactivated)
09:30:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:37 INFO    opendrift:2211: 2026-06-06 16:29:13.868280 - step 32 of 48 - 2000 active elements (0 deactivated)
09:30:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:40 INFO    opendrift:2211: 2026-06-06 17:29:13.868280 - step 33 of 48 - 2000 active elements (0 deactivated)
09:30:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:42 INFO    opendrift:2211: 2026-06-06 18:29:13.868280 - step 34 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:2211: 2026-06-06 19:29:13.868280 - step 35 of 48 - 2000 active elements (0 deactivated)
09:30:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:48 INFO    opendrift:2211: 2026-06-06 20:29:13.868280 - step 36 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:2211: 2026-06-06 21:29:13.868280 - step 37 of 48 - 2000 active elements (0 deactivated)
09:30:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:57 INFO    opendrift:2211: 2026-06-06 22:29:13.868280 - step 38 of 48 - 2000 active elements (0 deactivated)
09:30:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:30:59 INFO    opendrift:2211: 2026-06-06 23:29:13.868280 - step 39 of 48 - 2000 active elements (0 deactivated)
09:31:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:02 INFO    opendrift:2211: 2026-06-07 00:29:13.868280 - step 40 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:2211: 2026-06-07 01:29:13.868280 - step 41 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
09:31:06 INFO    opendrift:2211: 2026-06-07 02:29:13.868280 - step 42 of 48 - 2000 active elements (0 deactivated)
09:31:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:08 INFO    opendrift:2211: 2026-06-07 03:29:13.868280 - step 43 of 48 - 2000 active elements (0 deactivated)
09:31:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:11 INFO    opendrift:2211: 2026-06-07 04:29:13.868280 - step 44 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:2211: 2026-06-07 05:29:13.868280 - step 45 of 48 - 2000 active elements (0 deactivated)
09:31:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:16 INFO    opendrift:2211: 2026-06-07 06:29:13.868280 - step 46 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:2211: 2026-06-07 07:29:13.868280 - step 47 of 48 - 2000 active elements (0 deactivated)
09:31:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:31:20 INFO    opendrift:2211: 2026-06-07 08:29:13.868280 - step 48 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

<xarray.Dataset> Size: 13MB
Dimensions:                              (trajectory: 2000, time: 49)
Coordinates:
  * trajectory                           (trajectory) int64 16kB 0 1 ... 1999
  * time                                 (time) datetime64[ns] 392B 2026-06-0...
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: (12/139)
    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:                                                          0:02:09...
    geospatial_vertical_min:                                          -52.401855
    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]
    2026-06-05T09:29:13.868280 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2026-06-05T09:29:13.868280000', '2026-06-05T10:29:13.868280000',
           '2026-06-05T11:29:13.868280000', '2026-06-05T12:29:13.868280000',
           '2026-06-05T13:29:13.868280000', '2026-06-05T14:29:13.868280000',
           '2026-06-05T15:29:13.868280000', '2026-06-05T16:29:13.868280000',
           '2026-06-05T17:29:13.868280000', '2026-06-05T18:29:13.868280000',
           '2026-06-05T19:29:13.868280000', '2026-06-05T20:29:13.868280000',
           '2026-06-05T21:29:13.868280000', '2026-06-05T22:29:13.868280000',
           '2026-06-05T23:29:13.868280000', '2026-06-06T00:29:13.868280000',
           '2026-06-06T01:29:13.868280000', '2026-06-06T02:29:13.868280000',
           '2026-06-06T03:29:13.868280000', '2026-06-06T04:29:13.868280000',
           '2026-06-06T05:29:13.868280000', '2026-06-06T06:29:13.868280000',
           '2026-06-06T07:29:13.868280000', '2026-06-06T08:29:13.868280000',
           '2026-06-06T09:29:13.868280000', '2026-06-06T10:29:13.868280000',
           '2026-06-06T11:29:13.868280000', '2026-06-06T12:29:13.868280000',
           '2026-06-06T13:29:13.868280000', '2026-06-06T14:29:13.868280000',
           '2026-06-06T15:29:13.868280000', '2026-06-06T16:29:13.868280000',
           '2026-06-06T17:29:13.868280000', '2026-06-06T18:29:13.868280000',
           '2026-06-06T19:29:13.868280000', '2026-06-06T20:29:13.868280000',
           '2026-06-06T21:29:13.868280000', '2026-06-06T22:29:13.868280000',
           '2026-06-06T23:29:13.868280000', '2026-06-07T00:29:13.868280000',
           '2026-06-07T01:29:13.868280000', '2026-06-07T02:29:13.868280000',
           '2026-06-07T03:29:13.868280000', '2026-06-07T04:29:13.868280000',
           '2026-06-07T05:29:13.868280000', '2026-06-07T06:29:13.868280000',
           '2026-06-07T07:29:13.868280000', '2026-06-07T08:29:13.868280000',
           '2026-06-07T09:29:13.868280000'], 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 14.09 ... 12.97 12.98

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    12.35679

    maxval :

    14.284596

    array([[14.084752 , 14.084892 , 14.08558  , ..., 14.172409 , 14.167126 ,
            14.165123 ],
           [14.019218 , 14.020703 , 14.02284  , ..., 14.152976 , 14.147803 ,
            14.145794 ],
           [14.047049 , 14.047905 , 14.049444 , ..., 14.135958 , 14.130883 ,
            14.1291685],
           ...,
           [13.055853 , 13.078726 , 13.099693 , ..., 12.940683 , 12.940683 ,
            12.940683 ],
           [13.005157 , 13.042055 , 13.070464 , ..., 12.906849 , 12.906849 ,
            12.906849 ],
           [13.002091 , 13.02989  , 13.056532 , ..., 12.984578 , 12.973779 ,
            12.9769945]], shape=(2000, 49), dtype=float32)

  • lat
    (trajectory, time)
    float32
    68.11 68.11 68.11 ... 67.84 67.84

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    67.69816

    maxval :

    68.28156

    array([[68.10684 , 68.10759 , 68.10943 , ..., 68.13305 , 68.13334 ,
            68.13309 ],
           [68.09939 , 68.10052 , 68.10254 , ..., 68.113754, 68.11407 ,
            68.1139  ],
           [68.11965 , 68.12047 , 68.122185, ..., 68.145424, 68.14603 ,
            68.14582 ],
           ...,
           [67.79944 , 67.80021 , 67.79948 , ..., 67.86991 , 67.86991 ,
            67.86991 ],
           [67.82828 , 67.82751 , 67.82498 , ..., 67.84999 , 67.84999 ,
            67.84999 ],
           [67.78542 , 67.78535 , 67.782875, ..., 67.83082 , 67.83744 ,
            67.84172 ]], shape=(2000, 49), dtype=float32)

  • z
    (trajectory, time)
    float32
    -40.0 -46.98 ... -22.14 -26.33

    dtype :

    <class 'numpy.float32'>

    units :

    m

    standard_name :

    z

    long_name :

    vertical position

    axis :

    Z

    positive :

    up

    minval :

    -52.401855

    maxval :

    0.0

    array([[-40.       , -46.978813 , -44.341167 , ...,  -3.4937265,
             -1.5365051,  -0.9867447],
           [-40.       , -44.66073  , -43.720543 , ..., -12.062466 ,
            -11.56462  , -41.421032 ],
           [-40.       , -27.948824 , -11.664957 , ..., -15.997119 ,
             -7.569996 , -17.209158 ],
           ...,
           [-40.       , -37.832874 , -35.380863 , ..., -31.801865 ,
            -31.879389 , -34.052105 ],
           [-40.       , -30.010359 , -14.738301 , ...,  -6.7458086,
             -2.4632783,  -5.1162786],
           [-40.       , -40.450935 , -26.021687 , ..., -21.428652 ,
            -22.136389 , -26.329443 ]], 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
    0.00162 0.007955 ... 0.03761

    minval :

    -0.7245685

    maxval :

    0.634786

    array([[ 0.0016196 ,  0.00795457,  0.01292184, ..., -0.06102319,
            -0.02313198, -0.02313198],
           [ 0.01717693,  0.02470833,  0.02881477, ..., -0.0597957 ,
            -0.02322794, -0.02322794],
           [ 0.00989343,  0.01779212,  0.02230871, ..., -0.05858209,
            -0.01979656, -0.01979656],
           ...,
           [ 0.26801047,  0.24568722,  0.15565261, ..., -0.3606182 ,
            -0.12888283, -0.12888283],
           [ 0.43182716,  0.33252805,  0.16493002, ..., -0.41229397,
            -0.12676506, -0.12676506],
           [ 0.32593003,  0.31240222,  0.22033088, ..., -0.1263334 ,
             0.03761423,  0.03761423]], shape=(2000, 49), dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    0.02323 0.05683 ... 0.1325 0.1325

    minval :

    -0.40048197

    maxval :

    0.45558465

    array([[ 0.0232274 ,  0.05682775,  0.08108374, ...,  0.00911822,
            -0.00781543, -0.00781543],
           [ 0.03507963,  0.06250136,  0.07860147, ...,  0.00973933,
            -0.00506043, -0.00506043],
           [ 0.02522683,  0.05336402,  0.07274077, ...,  0.01855063,
            -0.00624519, -0.00624519],
           ...,
           [ 0.02387451, -0.02270494, -0.03122203, ...,  0.09504761,
             0.03900786,  0.03900786],
           [-0.02370326, -0.07831553, -0.06461434, ...,  0.18832989,
             0.09102171,  0.09102171],
           [-0.00233026, -0.07642186, -0.10547321, ...,  0.20513633,
             0.1325258 ,  0.1325258 ]], shape=(2000, 49), dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    -1.091 -0.7973 ... -0.9317 -0.9317

    minval :

    -1.221253

    maxval :

    0.6028658

    array([[-1.0910519 , -0.7973173 , -0.40280944, ..., -0.6574338 ,
            -0.9686124 , -0.9686124 ],
           [-1.0886127 , -0.7960252 , -0.4026856 , ..., -0.65737385,
            -0.968032  , -0.968032  ],
           [-1.0907948 , -0.7980013 , -0.40398476, ..., -0.65637964,
            -0.9674557 , -0.9674557 ],
           ...,
           [-1.0318553 , -0.76947   , -0.41341576, ..., -0.62127477,
            -0.9128624 , -0.9128624 ],
           [-1.0393625 , -0.7807899 , -0.42405277, ..., -0.6226969 ,
            -0.90957284, -0.90957284],
           [-1.025564  , -0.7656816 , -0.41177005, ..., -0.6418392 ,
            -0.931744  , -0.931744  ]], shape=(2000, 49), dtype=float32)

  • sea_surface_wave_significant_height
    (trajectory, time)
    float32
    0.6436 0.6208 ... 1.724 1.724

    minval :

    2.690352e-05

    maxval :

    5.787493

    array([[0.6436317 , 0.6207849 , 0.6635959 , ..., 2.6072097 , 2.6979177 ,
            2.6979177 ],
           [0.7786412 , 0.5417948 , 0.41393188, ..., 2.5367675 , 2.536479  ,
            2.536479  ],
           [0.7796152 , 0.90256345, 1.1714213 , ..., 3.596551  , 3.5598927 ,
            3.5598927 ],
           ...,
           [1.1418505 , 1.4143119 , 1.1753615 , ..., 1.7450815 , 1.9084811 ,
            1.9084811 ],
           [0.4286187 , 0.9893524 , 0.83075655, ..., 0.6596668 , 0.7270495 ,
            0.7270495 ],
           [0.7089866 , 0.75626314, 0.68879086, ..., 1.9207952 , 1.7243242 ,
            1.7243242 ]], 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
    -4.551 -4.303 ... -1.264 -1.264

    minval :

    -9.572728

    maxval :

    8.475722

    array([[-4.5512266 , -4.3028026 , -4.0511928 , ...,  0.4923751 ,
             0.23104842,  0.23104842],
           [-4.271822  , -3.6511483 , -4.0624585 , ...,  0.7125914 ,
             0.5357274 ,  0.5357274 ],
           [-5.6259727 , -6.035905  , -6.8548155 , ..., -0.30788365,
            -0.33004177, -0.33004177],
           ...,
           [-4.7826962 , -4.955552  , -6.1246586 , ..., -5.887893  ,
            -6.84842   , -6.84842   ],
           [-4.0969057 , -5.521824  , -5.8007574 , ..., -1.7403983 ,
            -2.6375718 , -2.6375718 ],
           [-5.3297653 , -5.4098544 , -5.050968  , ..., -1.9152771 ,
            -1.2635069 , -1.2635069 ]], shape=(2000, 49), dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    2.335 2.592 3.25 ... -8.276 -8.276

    minval :

    -13.0912695

    maxval :

    14.513143

    array([[  2.334572  ,   2.5924983 ,   3.2501206 , ..., -10.283079  ,
            -10.469865  , -10.469865  ],
           [  3.6610959 ,   2.9484396 ,   0.5682695 , ..., -10.1298    ,
            -10.140114  , -10.140114  ],
           [  0.2002701 ,  -0.5073706 ,  -0.79388595, ..., -12.087451  ,
            -12.025064  , -12.025064  ],
           ...,
           [  4.8520617 ,   5.7388897 ,   3.2042913 , ...,  -6.0225406 ,
             -5.5389237 ,  -5.5389237 ],
           [  0.79930377,   3.1188202 ,   0.34900695, ...,  -4.877165  ,
             -4.753743  ,  -4.753743  ],
           [  0.64358145,   1.214857  ,   1.5771341 , ...,  -8.6262865 ,
             -8.276354  ,  -8.276354  ]], 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 91.26 90.43 ... 81.1 81.1

    minval :

    25.560106

    maxval :

    248.3675

    array([[ 91.5983  ,  91.263405,  90.43212 , ...,  64.19751 ,  63.96633 ,
             63.96633 ],
           [ 94.49078 ,  94.437096,  94.28145 , ...,  82.56884 ,  82.50571 ,
             82.50571 ],
           [ 86.55411 ,  86.145744,  85.299484, ...,  55.840122,  55.94224 ,
             55.94224 ],
           ...,
           [131.81073 , 137.08998 , 142.13914 , ...,  50.887863,  52.292423,
             52.292423],
           [ 97.5854  , 109.239586, 118.50556 , ...,  51.261227,  53.713306,
             53.713306],
           [122.13024 , 130.97107 , 140.04854 , ...,  89.02182 ,  81.10005 ,
             81.10005 ]], shape=(2000, 49), dtype=float32)

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

    minval :

    0.02

    maxval :

    0.02

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

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

    minval :

    50.0

    maxval :

    50.0

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

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

    minval :

    10.0

    maxval :

    10.0

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

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

    minval :

    34.0

    maxval :

    34.0

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

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

    minval :

    0.0

    maxval :

    0.0

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

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

    minval :

    0.0

    maxval :

    0.0

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

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

    minval :

    0.0

    maxval :

    0.0

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

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

    minval :

    0.0

    maxval :

    0.0

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

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

    minval :

    0.0

    maxval :

    0.0

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

• Indexes: (2)
  • trajectory
    PandasIndex

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

  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['2026-06-05 09:29:13.868280', '2026-06-05 10:29:13.868280',
                   '2026-06-05 11:29:13.868280', '2026-06-05 12:29:13.868280',
                   '2026-06-05 13:29:13.868280', '2026-06-05 14:29:13.868280',
                   '2026-06-05 15:29:13.868280', '2026-06-05 16:29:13.868280',
                   '2026-06-05 17:29:13.868280', '2026-06-05 18:29:13.868280',
                   '2026-06-05 19:29:13.868280', '2026-06-05 20:29:13.868280',
                   '2026-06-05 21:29:13.868280', '2026-06-05 22:29:13.868280',
                   '2026-06-05 23:29:13.868280', '2026-06-06 00:29:13.868280',
                   '2026-06-06 01:29:13.868280', '2026-06-06 02:29:13.868280',
                   '2026-06-06 03:29:13.868280', '2026-06-06 04:29:13.868280',
                   '2026-06-06 05:29:13.868280', '2026-06-06 06:29:13.868280',
                   '2026-06-06 07:29:13.868280', '2026-06-06 08:29:13.868280',
                   '2026-06-06 09:29:13.868280', '2026-06-06 10:29:13.868280',
                   '2026-06-06 11:29:13.868280', '2026-06-06 12:29:13.868280',
                   '2026-06-06 13:29:13.868280', '2026-06-06 14:29:13.868280',
                   '2026-06-06 15:29:13.868280', '2026-06-06 16:29:13.868280',
                   '2026-06-06 17:29:13.868280', '2026-06-06 18:29:13.868280',
                   '2026-06-06 19:29:13.868280', '2026-06-06 20:29:13.868280',
                   '2026-06-06 21:29:13.868280', '2026-06-06 22:29:13.868280',
                   '2026-06-06 23:29:13.868280', '2026-06-07 00:29:13.868280',
                   '2026-06-07 01:29:13.868280', '2026-06-07 02:29:13.868280',
                   '2026-06-07 03:29:13.868280', '2026-06-07 04:29:13.868280',
                   '2026-06-07 05:29:13.868280', '2026-06-07 06:29:13.868280',
                   '2026-06-07 07:29:13.868280', '2026-06-07 08:29:13.868280',
                   '2026-06-07 09:29:13.868280'],
                  dtype='datetime64[ns]', name='time', freq='h'))

• Attributes: (139)

  Conventions :

  CF-1.11, ACDD-1.3

  standard_name_vocabulary :

  CF Standard Name Table v85

  featureType :

  trajectory

  title :

  OpenDrift trajectory simulation

  summary :

  Output from simulation with OpenDrift framework

  keywords :

  trajectory, drift, lagrangian, simulation

  history :

  Created 2026-06-05 09:29:17.853052

  date_created :

  2026-06-05T09:29:17.853065

  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 :

  2026-06-05 09:29:13.868280

  time_step_calculation :

  1:00:00

  time_step_output :

  1:00:00

  config_environment:constant:x_sea_water_velocity :

  None

  config_environment:fallback:x_sea_water_velocity :

  0

  config_environment:constant:y_sea_water_velocity :

  None

  config_environment:fallback:y_sea_water_velocity :

  0

  config_environment:constant:sea_surface_height :

  None

  config_environment:fallback:sea_surface_height :

  0

  config_environment:constant:sea_surface_wave_significant_height :

  None

  config_environment:fallback:sea_surface_wave_significant_height :

  0

  config_environment:constant:sea_ice_area_fraction :

  None

  config_environment:fallback:sea_ice_area_fraction :

  0

  config_environment:constant:x_wind :

  None

  config_environment:fallback:x_wind :

  0

  config_environment:constant:y_wind :

  None

  config_environment:fallback:y_wind :

  0

  config_environment:constant:land_binary_mask :

  None

  config_environment:fallback:land_binary_mask :

  None

  config_environment:constant:sea_floor_depth_below_sea_level :

  None

  config_environment:fallback:sea_floor_depth_below_sea_level :

  100

  config_environment:constant:ocean_vertical_diffusivity :

  None

  config_environment:fallback:ocean_vertical_diffusivity :

  0.02

  config_environment:constant:ocean_mixed_layer_thickness :

  None

  config_environment:fallback:ocean_mixed_layer_thickness :

  50

  config_environment:constant:sea_water_temperature :

  None

  config_environment:fallback:sea_water_temperature :

  10

  config_environment:constant:sea_water_salinity :

  None

  config_environment:fallback:sea_water_salinity :

  34

  config_environment:constant:surface_downward_x_stress :

  None

  config_environment:fallback:surface_downward_x_stress :

  0

  config_environment:constant:surface_downward_y_stress :

  None

  config_environment:fallback:surface_downward_y_stress :

  0

  config_environment:constant:turbulent_kinetic_energy :

  None

  config_environment:fallback:turbulent_kinetic_energy :

  0

  config_environment:constant:turbulent_generic_length_scale :

  None

  config_environment:fallback:turbulent_generic_length_scale :

  0

  config_environment:constant:upward_sea_water_velocity :

  None

  config_environment:fallback:upward_sea_water_velocity :

  0

  config_general:use_auto_landmask :

  True

  config_drift:current_uncertainty :

  0

  config_drift:current_uncertainty_uniform :

  0

  config_drift:max_speed :

  2.0

  config_readers:max_number_of_fails :

  1

  config_general:simulation_name :

  config_general:coastline_action :

  previous

  config_general:coastline_approximation_precision :

  0.001

  config_general:time_step_minutes :

  60

  config_general:time_step_output_minutes :

  None

  config_seed:ocean_only :

  True

  config_seed:number :

  1

  config_drift:max_age_seconds :

  None

  config_drift:advection_scheme :

  euler

  config_drift:profiles_depth :

  50

  config_drift:wind_uncertainty :

  0

  config_drift:relative_wind :

  False

  config_drift:deactivate_north_of :

  None

  config_drift:deactivate_south_of :

  None

  config_drift:deactivate_east_of :

  None

  config_drift:deactivate_west_of :

  None

  config_seed:origin_marker :

  0

  config_seed:z :

  0

  config_seed:wind_drift_factor :

  0.02

  config_seed:current_drift_factor :

  1

  config_seed:terminal_velocity :

  0.0

  config_seed:diameter :

  0.0014

  config_seed:neutral_buoyancy_salinity :

  31.25

  config_seed:density :

  1028.0

  config_seed:hatched :

  0.0

  config_drift:vertical_advection :

  True

  config_drift:vertical_advection_at_surface :

  True

  config_drift:water_column_stretching :

  False

  config_drift:vertical_advection_correction :

  False

  config_drift:vertical_mixing :

  True

  config_drift:vertical_mixing_at_surface :

  True

  config_vertical_mixing:timestep :

  60.0

  config_vertical_mixing:diffusivitymodel :

  windspeed_Sundby1983

  config_vertical_mixing:background_diffusivity :

  1.2e-05

  config_vertical_mixing:TSprofiles :

  False

  config_drift:wind_drift_depth :

  0.1

  config_drift:stokes_drift :

  True

  config_drift:stokes_drift_profile :

  Phillips

  config_drift:use_tabularised_stokes_drift :

  False

  config_drift:tabularised_stokes_drift_fetch :

  25000

  config_general:seafloor_action :

  lift_to_seafloor

  config_drift:truncate_ocean_model_below_m :

  None

  config_seed:seafloor :

  False

  opendrift_version :

  1.14.9

  seed_geojson :

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

  simulation_time :

  2026-06-05 09:29:17.860988

  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 :

  2026-06-07 09:29:13.868280

  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 0:01:04.1 total 0:00:00.0 preparing 0:01:03.9 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 0:00:49.5 total 0:00:00.0 preparing 0:00:49.4 reading 0:00:00.8 interpolation 0:00:00.0 interpolation_time 0:00:00.1 rotating vectors 0:00:00.0 masking -------------------- Performance: 2:09.6 total time 3.9 configuration 0.0 preparing main loop 0.0 moving elements to ocean 2:05.6 main loop 3.1 updating elements 3.1 vertical mixing 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  67.69816

  geospatial_lat_max :

  68.28156

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  12.35679

  geospatial_lon_max :

  14.284596

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:02:09.672602

  geospatial_vertical_min :

  -52.401855

  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
 0:01:04.1  total
 0:00:00.0  preparing
 0:01:03.9  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
 0:00:49.5  total
 0:00:00.0  preparing
 0:00:49.4  reading
 0:00:00.8  interpolation
 0:00:00.0  interpolation_time
 0:00:00.1  rotating vectors
 0:00:00.0  masking
--------------------
Performance:
 2:09.6 total time
    3.9 configuration
    0.0 preparing main loop
      0.0 moving elements to ocean
 2:05.6 main loop
      3.1 updating elements
        3.1 vertical mixing
    0.0 cleaning up
--------------------
===========================
Model:  PelagicEggDrift     (OpenDrift version 1.14.9)
        2000 active PelagicEgg particles  (0 deactivated, 0 scheduled)
-------------------
Environment variables:
  -----
  land_binary_mask
     1) global_landmask
  -----
  sea_floor_depth_below_sea_level
  sea_surface_height
  x_sea_water_velocity
  y_sea_water_velocity
     1) https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
  -----
  x_wind
  y_wind
     1) https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc
  -----
Readers not added for the following variables:
  ocean_mixed_layer_thickness
  ocean_vertical_diffusivity
  sea_ice_area_fraction
  sea_surface_wave_significant_height
  sea_water_salinity
  sea_water_temperature
  surface_downward_x_stress
  surface_downward_y_stress
  turbulent_generic_length_scale
  turbulent_kinetic_energy
  upward_sea_water_velocity

Discarded readers:

Time:
        Start: 2026-06-05 09:29:13.868280 UTC
        Present: 2026-06-07 09:29:13.868280 UTC
        Calculation steps: 48 * 1:00:00 - total time: 2 days, 0:00:00
        Output steps: 49 * 1:00:00
===========================

09:31:23 WARNING opendrift:2574: Plotting fast. This will make your plots less accurate.
09:31:29 WARNING opendrift:2574: Plotting fast. This will make your plots less accurate.
09:31:30 INFO    opendrift:4777: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_0.gif...
09:32:18 INFO    opendrift:3200: Time to make animation: 0:00:49.399732

o.animate_vertical_distribution()

09:32:21 INFO    opendrift:4777: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_1.gif...
09:32:34 INFO    opendrift.models.oceandrift:644: Time to make animation: 0:00:13.405598