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'])

12:31:44 INFO    opendrift:568: OpenDriftSimulation initialised (version 1.14.9 / v1.14.9-47-gbdbbf88)

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)

12:31:44 INFO    opendrift.models.basemodel.environment:203: Adding a global landmask from GSHHG
12:31:48 INFO    opendrift.models.basemodel.environment:227: Fallback values will be used for the following variables which have no readers:
12:31:48 INFO    opendrift.models.basemodel.environment:230:    x_sea_water_velocity: 0.000000
12:31:48 INFO    opendrift.models.basemodel.environment:230:    y_sea_water_velocity: 0.000000
12:31:48 INFO    opendrift.models.basemodel.environment:230:    sea_surface_height: 0.000000
12:31:48 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_significant_height: 0.000000
12:31:48 INFO    opendrift.models.basemodel.environment:230:    sea_ice_area_fraction: 0.000000
12:31:48 INFO    opendrift.models.basemodel.environment:230:    x_wind: 0.000000
12:31:48 INFO    opendrift.models.basemodel.environment:230:    y_wind: 0.000000
12:31:48 INFO    opendrift.models.basemodel.environment:230:    sea_floor_depth_below_sea_level: 100.000000
12:31:48 INFO    opendrift.models.basemodel.environment:230:    ocean_vertical_diffusivity: 0.020000
12:31:48 INFO    opendrift.models.basemodel.environment:230:    ocean_mixed_layer_thickness: 50.000000
12:31:48 INFO    opendrift.models.basemodel.environment:230:    sea_water_temperature: 10.000000
12:31:48 INFO    opendrift.models.basemodel.environment:230:    sea_water_salinity: 34.000000
12:31:48 INFO    opendrift.models.basemodel.environment:230:    surface_downward_x_stress: 0.000000
12:31:48 INFO    opendrift.models.basemodel.environment:230:    surface_downward_y_stress: 0.000000
12:31:48 INFO    opendrift.models.basemodel.environment:230:    turbulent_kinetic_energy: 0.000000
12:31:48 INFO    opendrift.models.basemodel.environment:230:    turbulent_generic_length_scale: 0.000000
12:31:48 INFO    opendrift.models.basemodel.environment:230:    upward_sea_water_velocity: 0.000000

Running model

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

12:31:48 INFO    opendrift:1905: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
12:31:48 INFO    opendrift:1905: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
12:31:48 INFO    opendrift:947: Using existing reader for land_binary_mask to move elements to ocean
12:31:48 INFO    opendrift:978: All points are in ocean
12:31:48 INFO    opendrift:2202: 2026-05-11 12:31:44.930111 - step 1 of 48 - 2000 active elements (0 deactivated)
12:31:48 INFO    opendrift.readers:67: Opening file with xr.open_dataset
12:31:50 INFO    opendrift.readers.reader_netCDF_CF_generic:340: Detected dimensions: {'x': 'x', 'y': 'y', 'time': 'time'}
12:31:50 INFO    opendrift.readers:67: Opening file with xr.open_dataset
12:31:51 INFO    opendrift.readers.reader_netCDF_CF_generic:340: Detected dimensions: {'time': 'time', 'x': 'x', 'y': 'y'}
12:31:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:31:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:31:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:31:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:31:54 INFO    opendrift:2202: 2026-05-11 13:31:44.930111 - step 2 of 48 - 2000 active elements (0 deactivated)
12:31:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:31:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:31:57 INFO    opendrift:2202: 2026-05-11 14:31:44.930111 - step 3 of 48 - 2000 active elements (0 deactivated)
12:31:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:31:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:31:59 INFO    opendrift:2202: 2026-05-11 15:31:44.930111 - step 4 of 48 - 2000 active elements (0 deactivated)
12:32:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:02 INFO    opendrift:2202: 2026-05-11 16:31:44.930111 - step 5 of 48 - 2000 active elements (0 deactivated)
12:32:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:04 INFO    opendrift:2202: 2026-05-11 17:31:44.930111 - step 6 of 48 - 2000 active elements (0 deactivated)
12:32:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:06 INFO    opendrift:2202: 2026-05-11 18:31:44.930111 - step 7 of 48 - 2000 active elements (0 deactivated)
12:32:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:08 INFO    opendrift:2202: 2026-05-11 19:31:44.930111 - step 8 of 48 - 2000 active elements (0 deactivated)
12:32:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:09 INFO    opendrift:2202: 2026-05-11 20:31:44.930111 - step 9 of 48 - 2000 active elements (0 deactivated)
12:32:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:11 INFO    opendrift:2202: 2026-05-11 21:31:44.930111 - step 10 of 48 - 2000 active elements (0 deactivated)
12:32:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:13 INFO    opendrift:2202: 2026-05-11 22:31:44.930111 - step 11 of 48 - 2000 active elements (0 deactivated)
12:32:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:15 INFO    opendrift:2202: 2026-05-11 23:31:44.930111 - step 12 of 48 - 2000 active elements (0 deactivated)
12:32:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:18 INFO    opendrift:2202: 2026-05-12 00:31:44.930111 - step 13 of 48 - 2000 active elements (0 deactivated)
12:32:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:20 INFO    opendrift:2202: 2026-05-12 01:31:44.930111 - step 14 of 48 - 2000 active elements (0 deactivated)
12:32:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:22 INFO    opendrift:2202: 2026-05-12 02:31:44.930111 - step 15 of 48 - 2000 active elements (0 deactivated)
12:32:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:24 INFO    opendrift:2202: 2026-05-12 03:31:44.930111 - step 16 of 48 - 2000 active elements (0 deactivated)
12:32:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:26 INFO    opendrift:2202: 2026-05-12 04:31:44.930111 - step 17 of 48 - 2000 active elements (0 deactivated)
12:32:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:28 INFO    opendrift:2202: 2026-05-12 05:31:44.930111 - step 18 of 48 - 2000 active elements (0 deactivated)
12:32:30 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:30 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:30 INFO    opendrift:2202: 2026-05-12 06:31:44.930111 - step 19 of 48 - 2000 active elements (0 deactivated)
12:32:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:32 INFO    opendrift:2202: 2026-05-12 07:31:44.930111 - step 20 of 48 - 2000 active elements (0 deactivated)
12:32:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:34 INFO    opendrift:2202: 2026-05-12 08:31:44.930111 - step 21 of 48 - 2000 active elements (0 deactivated)
12:32:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:36 INFO    opendrift:2202: 2026-05-12 09:31:44.930111 - step 22 of 48 - 2000 active elements (0 deactivated)
12:32:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:38 INFO    opendrift:2202: 2026-05-12 10:31:44.930111 - step 23 of 48 - 2000 active elements (0 deactivated)
12:32:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:40 INFO    opendrift:2202: 2026-05-12 11:31:44.930111 - step 24 of 48 - 2000 active elements (0 deactivated)
12:32:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:42 INFO    opendrift:2202: 2026-05-12 12:31:44.930111 - step 25 of 48 - 2000 active elements (0 deactivated)
12:32:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:44 INFO    opendrift:2202: 2026-05-12 13:31:44.930111 - step 26 of 48 - 2000 active elements (0 deactivated)
12:32:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:46 INFO    opendrift:2202: 2026-05-12 14:31:44.930111 - step 27 of 48 - 2000 active elements (0 deactivated)
12:32:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:48 INFO    opendrift:2202: 2026-05-12 15:31:44.930111 - step 28 of 48 - 2000 active elements (0 deactivated)
12:32:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:51 INFO    opendrift:2202: 2026-05-12 16:31:44.930111 - step 29 of 48 - 2000 active elements (0 deactivated)
12:32:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:53 INFO    opendrift:2202: 2026-05-12 17:31:44.930111 - step 30 of 48 - 2000 active elements (0 deactivated)
12:32:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:55 INFO    opendrift:2202: 2026-05-12 18:31:44.930111 - step 31 of 48 - 2000 active elements (0 deactivated)
12:32:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:57 INFO    opendrift:2202: 2026-05-12 19:31:44.930111 - step 32 of 48 - 2000 active elements (0 deactivated)
12:32:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:32:59 INFO    opendrift:2202: 2026-05-12 20:31:44.930111 - step 33 of 48 - 2000 active elements (0 deactivated)
12:33:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:33:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:33:01 INFO    opendrift:2202: 2026-05-12 21:31:44.930111 - step 34 of 48 - 2000 active elements (0 deactivated)
12:33:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:33:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:33:03 INFO    opendrift:2202: 2026-05-12 22:31:44.930111 - step 35 of 48 - 2000 active elements (0 deactivated)
12:33:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:33:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:33:05 INFO    opendrift:2202: 2026-05-12 23:31:44.930111 - step 36 of 48 - 2000 active elements (0 deactivated)
12:33:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:33:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:33:07 INFO    opendrift:2202: 2026-05-13 00:31:44.930111 - step 37 of 48 - 2000 active elements (0 deactivated)
12:33:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:33:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:33:09 INFO    opendrift:2202: 2026-05-13 01:31:44.930111 - step 38 of 48 - 2000 active elements (0 deactivated)
12:33:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:33:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:33:12 INFO    opendrift:2202: 2026-05-13 02:31:44.930111 - step 39 of 48 - 2000 active elements (0 deactivated)
12:33:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:33:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:33:14 INFO    opendrift:2202: 2026-05-13 03:31:44.930111 - step 40 of 48 - 2000 active elements (0 deactivated)
12:33:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:33:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:33:16 INFO    opendrift:2202: 2026-05-13 04:31:44.930111 - step 41 of 48 - 2000 active elements (0 deactivated)
12:33:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:33:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:33:18 INFO    opendrift:2202: 2026-05-13 05:31:44.930111 - step 42 of 48 - 2000 active elements (0 deactivated)
12:33:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:33:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:33:20 INFO    opendrift:2202: 2026-05-13 06:31:44.930111 - step 43 of 48 - 2000 active elements (0 deactivated)
12:33:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:33:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:33:22 INFO    opendrift:2202: 2026-05-13 07:31:44.930111 - step 44 of 48 - 2000 active elements (0 deactivated)
12:33:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:33:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:33:24 INFO    opendrift:2202: 2026-05-13 08:31:44.930111 - step 45 of 48 - 2000 active elements (0 deactivated)
12:33:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:33:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:33:26 INFO    opendrift:2202: 2026-05-13 09:31:44.930111 - step 46 of 48 - 2000 active elements (0 deactivated)
12:33:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:33:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:33:28 INFO    opendrift:2202: 2026-05-13 10:31:44.930111 - step 47 of 48 - 2000 active elements (0 deactivated)
12:33:30 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:33:30 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:33:30 INFO    opendrift:2202: 2026-05-13 11:31:44.930111 - step 48 of 48 - 2000 active elements (0 deactivated)
12:33:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
12:33:32 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 2026-05-1...
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:                                                          0:01:48...
    geospatial_vertical_min:                                          -51.236313
    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]
    2026-05-11T12:31:44.930111 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2026-05-11T12:31:44.930111000', '2026-05-11T13:31:44.930111000',
           '2026-05-11T14:31:44.930111000', '2026-05-11T15:31:44.930111000',
           '2026-05-11T16:31:44.930111000', '2026-05-11T17:31:44.930111000',
           '2026-05-11T18:31:44.930111000', '2026-05-11T19:31:44.930111000',
           '2026-05-11T20:31:44.930111000', '2026-05-11T21:31:44.930111000',
           '2026-05-11T22:31:44.930111000', '2026-05-11T23:31:44.930111000',
           '2026-05-12T00:31:44.930111000', '2026-05-12T01:31:44.930111000',
           '2026-05-12T02:31:44.930111000', '2026-05-12T03:31:44.930111000',
           '2026-05-12T04:31:44.930111000', '2026-05-12T05:31:44.930111000',
           '2026-05-12T06:31:44.930111000', '2026-05-12T07:31:44.930111000',
           '2026-05-12T08:31:44.930111000', '2026-05-12T09:31:44.930111000',
           '2026-05-12T10:31:44.930111000', '2026-05-12T11:31:44.930111000',
           '2026-05-12T12:31:44.930111000', '2026-05-12T13:31:44.930111000',
           '2026-05-12T14:31:44.930111000', '2026-05-12T15:31:44.930111000',
           '2026-05-12T16:31:44.930111000', '2026-05-12T17:31:44.930111000',
           '2026-05-12T18:31:44.930111000', '2026-05-12T19:31:44.930111000',
           '2026-05-12T20:31:44.930111000', '2026-05-12T21:31:44.930111000',
           '2026-05-12T22:31:44.930111000', '2026-05-12T23:31:44.930111000',
           '2026-05-13T00:31:44.930111000', '2026-05-13T01:31:44.930111000',
           '2026-05-13T02:31:44.930111000', '2026-05-13T03:31:44.930111000',
           '2026-05-13T04:31:44.930111000', '2026-05-13T05:31:44.930111000',
           '2026-05-13T06:31:44.930111000', '2026-05-13T07:31:44.930111000',
           '2026-05-13T08:31:44.930111000', '2026-05-13T09:31:44.930111000',
           '2026-05-13T10:31:44.930111000', '2026-05-13T11:31:44.930111000',
           '2026-05-13T12:31:44.930111000'], 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 ... 13.0 12.98

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    12.35679

    maxval :

    14.23818

    array([[14.084752 , 14.088563 , 14.092691 , ..., 14.16545  , 14.160989 ,
            14.159295 ],
           [14.019218 , 14.0226965, 14.02675  , ..., 14.094054 , 14.090681 ,
            14.089958 ],
           [14.047049 , 14.050757 , 14.054699 , ..., 14.13176  , 14.127789 ,
            14.126627 ],
           ...,
           [13.055853 , 13.066295 , 13.081928 , ..., 13.016192 , 12.991708 ,
            12.97466  ],
           [13.005157 , 13.020044 , 13.040407 , ..., 12.909709 , 12.906578 ,
            12.906578 ],
           [13.002091 , 13.013194 , 13.029762 , ..., 13.016536 , 12.996979 ,
            12.981934 ]], shape=(2000, 49), dtype=float32)

  • lat
    (trajectory, time)
    float32
    68.11 68.11 68.11 ... 67.77 67.77

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    67.66626

    maxval :

    68.29554

    array([[68.10684 , 68.10655 , 68.10639 , ..., 68.11841 , 68.12081 ,
            68.12279 ],
           [68.09939 , 68.099365, 68.099464, ..., 68.12064 , 68.123276,
            68.12548 ],
           [68.11965 , 68.11937 , 68.11917 , ..., 68.13547 , 68.13824 ,
            68.1405  ],
           ...,
           [67.79944 , 67.801186, 67.801735, ..., 67.82719 , 67.83245 ,
            67.83914 ],
           [67.82828 , 67.82986 , 67.82978 , ..., 67.85821 , 67.85821 ,
            67.85821 ],
           [67.78542 , 67.78636 , 67.7858  , ..., 67.7638  , 67.766685,
            67.77021 ]], shape=(2000, 49), dtype=float32)

  • z
    (trajectory, time)
    float32
    -40.0 -46.21 ... -9.396 -10.16

    dtype :

    <class 'numpy.float32'>

    units :

    m

    standard_name :

    z

    long_name :

    vertical position

    axis :

    Z

    positive :

    up

    minval :

    -51.236313

    maxval :

    0.0

    array([[-40.        , -46.20618   , -46.13108   , ...,  -1.9972901 ,
             -1.0383106 ,  -0.80246943],
           [-40.        , -42.898056  , -41.480774  , ...,  -5.2624307 ,
             -5.4662538 , -18.027771  ],
           [-40.        , -29.692839  , -16.485706  , ...,  -5.348843  ,
             -0.6914037 ,  -7.172748  ],
           ...,
           [-40.        , -37.21571   , -34.066948  , ...,  -7.477538  ,
             -8.312639  ,  -7.917295  ],
           [-40.        , -29.318851  , -15.347395  , ...,  -4.8469086 ,
             -1.2868589 ,  -3.497737  ],
           [-40.        , -40.184696  , -26.091238  , ..., -10.857044  ,
             -9.396075  , -10.157662  ]], 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
    0.04406 0.04774 ... -0.1765 -0.1765

    minval :

    -0.58753073

    maxval :

    0.41585717

    array([[ 0.04406263,  0.04774017,  0.04422877, ..., -0.05155057,
            -0.01957555, -0.01957555],
           [ 0.04023109,  0.04688565,  0.04709432, ..., -0.03897424,
            -0.00834804, -0.00834804],
           [ 0.04286228,  0.04555878,  0.04211259, ..., -0.04585747,
            -0.01340256, -0.01340256],
           ...,
           [ 0.12234622,  0.18317145,  0.20277037, ..., -0.2864989 ,
            -0.19942509, -0.19942509],
           [ 0.1742144 ,  0.23829146,  0.2413387 , ..., -0.52449584,
            -0.4527818 , -0.4527818 ],
           [ 0.13016842,  0.19424723,  0.22278152, ..., -0.2294737 ,
            -0.17651181, -0.17651181]], shape=(2000, 49), dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    -0.008983 -0.005078 ... 0.1091

    minval :

    -0.2705495

    maxval :

    0.37703887

    array([[-0.00898286, -0.00507761,  0.00423792, ...,  0.07449955,
             0.06118887,  0.06118887],
           [-0.00076463,  0.00313757,  0.00936562, ...,  0.08166312,
             0.0682966 ,  0.0682966 ],
           [-0.00876383, -0.00612889,  0.00249473, ...,  0.08590113,
             0.07029387,  0.07029387],
           ...,
           [ 0.05416471,  0.01689806, -0.02194911, ...,  0.16313532,
             0.20735914,  0.20735914],
           [ 0.04903841, -0.00240706, -0.04655138, ...,  0.03244938,
             0.10708828,  0.10708828],
           [ 0.02916215, -0.01748779, -0.06739105, ...,  0.089275  ,
             0.10914917,  0.10914917]], shape=(2000, 49), dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    -0.8883 -0.8647 ... -0.3976 -0.3976

    minval :

    -0.9800252

    maxval :

    0.5312948

    array([[-0.8882926 , -0.8646602 , -0.7128432 , ...,  0.02082696,
            -0.39423752, -0.39423752],
           [-0.88734066, -0.86414456, -0.71263194, ...,  0.02131503,
            -0.39257106, -0.39257106],
           [-0.8876741 , -0.86470944, -0.7133223 , ...,  0.02235712,
            -0.3923263 , -0.3923263 ],
           ...,
           [-0.84953314, -0.83474916, -0.69551766, ..., -0.00348659,
            -0.38642916, -0.38642916],
           [-0.8467572 , -0.83568084, -0.6994917 , ...,  0.00565964,
            -0.36766312, -0.36766312],
           [-0.8442768 , -0.8294333 , -0.69119984, ..., -0.01489078,
            -0.3975919 , -0.3975919 ]], shape=(2000, 49), dtype=float32)

  • sea_surface_wave_significant_height
    (trajectory, time)
    float32
    0.4016 0.3326 ... 0.1433 0.1433

    minval :

    1.3031979e-06

    maxval :

    2.3357348

    array([[0.4016497 , 0.33258554, 0.3618135 , ..., 0.00294815, 0.01209395,
            0.01209395],
           [0.23384143, 0.22135401, 0.16150168, ..., 0.00257069, 0.01443154,
            0.01443154],
           [0.10192389, 0.10134946, 0.09448702, ..., 0.07280789, 0.03588572,
            0.03588572],
           ...,
           [0.3171301 , 0.2669659 , 0.32281366, ..., 0.04360931, 0.09152682,
            0.09152682],
           [0.7834177 , 0.5671763 , 0.4003856 , ..., 0.01484533, 0.03697342,
            0.03697342],
           [0.83497226, 0.64805233, 0.8689238 , ..., 0.17383786, 0.14333312,
            0.14333312]], 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
    1.283 1.179 ... -1.217 -1.217

    minval :

    -6.8579116

    maxval :

    7.2567115

    array([[ 1.2834271 ,  1.1786119 ,  0.37715018, ..., -0.2530564 ,
            -0.6999728 , -0.6999728 ],
           [ 2.9183762 ,  2.9315586 ,  2.557331  , ...,  0.04178905,
             0.7425404 ,  0.7425404 ],
           [-0.7217851 , -0.43210512,  0.12382042, ..., -1.5211781 ,
            -1.15739   , -1.15739   ],
           ...,
           [-3.0504515 , -2.6347895 , -2.3579404 , ..., -1.0557358 ,
            -1.2267264 , -1.2267264 ],
           [ 1.0650519 ,  1.3893095 ,  0.66552424, ..., -0.59703934,
            -0.51087636, -0.51087636],
           [ 0.27652442,  0.91758806,  1.8351938 , ..., -1.7190118 ,
            -1.2171462 , -1.2171462 ]], shape=(2000, 49), dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    3.831 3.483 3.816 ... -2.084 -2.084

    minval :

    -5.298885

    maxval :

    9.211949

    array([[ 3.831454  ,  3.482903  ,  3.8164935 , ...,  0.23623264,
            -0.0407671 , -0.0407671 ],
           [ 0.99439925,  0.635684  ,  0.15864031, ...,  0.32055166,
            -0.18783379, -0.18783379],
           [ 1.9032272 ,  1.9832252 ,  1.9559152 , ...,  0.80354655,
             0.34527904,  0.34527904],
           ...,
           [ 1.8937297 ,  1.9774116 ,  2.7500224 , ..., -0.81126934,
            -1.4885379 , -1.4885379 ],
           [ 5.541833  ,  4.596277  ,  3.9790595 , ...,  0.49700367,
            -1.1144459 , -1.1144459 ],
           [ 5.819407  ,  5.049913  ,  5.652802  , ..., -2.0277028 ,
            -2.0844917 , -2.0844917 ]], 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 91.69 91.72 ... 130.6 130.6

    minval :

    42.86156

    maxval :

    196.52629

    array([[ 91.5983  ,  91.686264,  91.7226  , ...,  78.025246,  75.841606,
             75.841606],
           [ 94.49078 ,  94.83183 ,  95.21387 , ...,  82.6909  ,  81.1409  ,
             81.1409  ],
           [ 86.55411 ,  86.62058 ,  86.6305  , ...,  63.315666,  61.84513 ,
             61.84513 ],
           ...,
           [131.81073 , 133.64693 , 136.93002 , ..., 102.07115 ,  90.28566 ,
             90.28566 ],
           [ 97.5854  , 101.17286 , 107.078964, ...,  58.39549 ,  52.04759 ,
             52.04759 ],
           [122.13024 , 125.255516, 130.69705 , ..., 138.73483 , 130.61328 ,
            130.61328 ]], 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(['2026-05-11 12:31:44.930111', '2026-05-11 13:31:44.930111',
                   '2026-05-11 14:31:44.930111', '2026-05-11 15:31:44.930111',
                   '2026-05-11 16:31:44.930111', '2026-05-11 17:31:44.930111',
                   '2026-05-11 18:31:44.930111', '2026-05-11 19:31:44.930111',
                   '2026-05-11 20:31:44.930111', '2026-05-11 21:31:44.930111',
                   '2026-05-11 22:31:44.930111', '2026-05-11 23:31:44.930111',
                   '2026-05-12 00:31:44.930111', '2026-05-12 01:31:44.930111',
                   '2026-05-12 02:31:44.930111', '2026-05-12 03:31:44.930111',
                   '2026-05-12 04:31:44.930111', '2026-05-12 05:31:44.930111',
                   '2026-05-12 06:31:44.930111', '2026-05-12 07:31:44.930111',
                   '2026-05-12 08:31:44.930111', '2026-05-12 09:31:44.930111',
                   '2026-05-12 10:31:44.930111', '2026-05-12 11:31:44.930111',
                   '2026-05-12 12:31:44.930111', '2026-05-12 13:31:44.930111',
                   '2026-05-12 14:31:44.930111', '2026-05-12 15:31:44.930111',
                   '2026-05-12 16:31:44.930111', '2026-05-12 17:31:44.930111',
                   '2026-05-12 18:31:44.930111', '2026-05-12 19:31:44.930111',
                   '2026-05-12 20:31:44.930111', '2026-05-12 21:31:44.930111',
                   '2026-05-12 22:31:44.930111', '2026-05-12 23:31:44.930111',
                   '2026-05-13 00:31:44.930111', '2026-05-13 01:31:44.930111',
                   '2026-05-13 02:31:44.930111', '2026-05-13 03:31:44.930111',
                   '2026-05-13 04:31:44.930111', '2026-05-13 05:31:44.930111',
                   '2026-05-13 06:31:44.930111', '2026-05-13 07:31:44.930111',
                   '2026-05-13 08:31:44.930111', '2026-05-13 09:31:44.930111',
                   '2026-05-13 10:31:44.930111', '2026-05-13 11:31:44.930111',
                   '2026-05-13 12:31:44.930111'],
                  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 2026-05-11 12:31:48.910212

  date_created :

  2026-05-11T12:31:48.910228

  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 :

  2026-05-11 12:31:44.930111

  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 :

  2026-05-11 12:31:48.917644

  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 :

  2026-05-13 12:31:44.930111

  time_coverage_duration :

  P2DT0H0M0S

  time_coverage_resolution :

  P0DT1H0M0S

  performance :

  -------------------- Reader performance: -------------------- global_landmask 0:00:01.5 total 0:00:00.0 preparing 0:00:01.5 reading 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml 0:00:57.6 total 0:00:00.0 preparing 0:00:57.4 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 0:00:34.5 total 0:00:00.0 preparing 0:00:34.3 reading 0:00:00.9 interpolation 0:00:00.0 interpolation_time 0:00:00.1 rotating vectors 0:00:00.0 masking -------------------- Performance: 1:48.1 total time 3.9 configuration 0.0 preparing main loop 0.0 moving elements to ocean 1:44.1 main loop 3.6 updating elements 3.5 vertical mixing 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  67.66626

  geospatial_lat_max :

  68.29554

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  12.35679

  geospatial_lon_max :

  14.23818

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:01:48.171191

  geospatial_vertical_min :

  -51.236313

  geospatial_vertical_max :

  0.0

  geospatial_vertical_positive :

  up

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

print(o)

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

===========================
--------------------
Reader performance:
--------------------
global_landmask
 0:00:01.5  total
 0:00:00.0  preparing
 0:00:01.5  reading
 0:00:00.0  masking
--------------------
https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
 0:00:57.6  total
 0:00:00.0  preparing
 0:00:57.4  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
 0:00:34.5  total
 0:00:00.0  preparing
 0:00:34.3  reading
 0:00:00.9  interpolation
 0:00:00.0  interpolation_time
 0:00:00.1  rotating vectors
 0:00:00.0  masking
--------------------
Performance:
 1:48.1 total time
    3.9 configuration
    0.0 preparing main loop
      0.0 moving elements to ocean
 1:44.1 main loop
      3.6 updating elements
        3.5 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: 2026-05-11 12:31:44.930111 UTC
        Present: 2026-05-13 12:31:44.930111 UTC
        Calculation steps: 48 * 1:00:00 - total time: 2 days, 0:00:00
        Output steps: 49 * 1:00:00
===========================

12:33:33 WARNING opendrift:2565: Plotting fast. This will make your plots less accurate.
12:33:40 WARNING opendrift:2565: Plotting fast. This will make your plots less accurate.
12:33:42 INFO    opendrift:4768: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_0.gif...
12:34:23 INFO    opendrift:3191: Time to make animation: 0:00:43.451064

o.animate_vertical_distribution()

12:34:25 INFO    opendrift:4768: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_1.gif...
12:34:39 INFO    opendrift.models.oceandrift:644: Time to make animation: 0:00:14.021929