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'])

11:43:48 INFO    opendrift:576: OpenDriftSimulation initialised (version 1.14.6 / v1.14.6-7-g47225a3)

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)

11:43:48 INFO    opendrift.models.basemodel.environment:203: Adding a global landmask from GSHHG
11:43:52 INFO    opendrift.models.basemodel.environment:227: Fallback values will be used for the following variables which have no readers:
11:43:52 INFO    opendrift.models.basemodel.environment:230:    x_sea_water_velocity: 0.000000
11:43:52 INFO    opendrift.models.basemodel.environment:230:    y_sea_water_velocity: 0.000000
11:43:52 INFO    opendrift.models.basemodel.environment:230:    sea_surface_height: 0.000000
11:43:52 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_significant_height: 0.000000
11:43:52 INFO    opendrift.models.basemodel.environment:230:    sea_ice_area_fraction: 0.000000
11:43:52 INFO    opendrift.models.basemodel.environment:230:    x_wind: 0.000000
11:43:52 INFO    opendrift.models.basemodel.environment:230:    y_wind: 0.000000
11:43:52 INFO    opendrift.models.basemodel.environment:230:    sea_floor_depth_below_sea_level: 100.000000
11:43:52 INFO    opendrift.models.basemodel.environment:230:    ocean_vertical_diffusivity: 0.020000
11:43:52 INFO    opendrift.models.basemodel.environment:230:    ocean_mixed_layer_thickness: 50.000000
11:43:52 INFO    opendrift.models.basemodel.environment:230:    sea_water_temperature: 10.000000
11:43:52 INFO    opendrift.models.basemodel.environment:230:    sea_water_salinity: 34.000000
11:43:52 INFO    opendrift.models.basemodel.environment:230:    surface_downward_x_stress: 0.000000
11:43:52 INFO    opendrift.models.basemodel.environment:230:    surface_downward_y_stress: 0.000000
11:43:52 INFO    opendrift.models.basemodel.environment:230:    turbulent_kinetic_energy: 0.000000
11:43:52 INFO    opendrift.models.basemodel.environment:230:    turbulent_generic_length_scale: 0.000000
11:43:52 INFO    opendrift.models.basemodel.environment:230:    upward_sea_water_velocity: 0.000000

Running model

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

11:43:52 INFO    opendrift:1805: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
11:43:52 INFO    opendrift:1805: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
11:43:52 INFO    opendrift:952: Using existing reader for land_binary_mask to move elements to ocean
11:43:52 INFO    opendrift:982: All points are in ocean
11:43:52 INFO    opendrift:2101: 2025-11-06 11:43:48.281572 - step 1 of 48 - 2000 active elements (0 deactivated)
11:43:52 INFO    opendrift.readers:63: Opening file with xr.open_dataset
11:43:56 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'x': 'x', 'y': 'y', 'time': 'time'}
11:43:56 INFO    opendrift.readers:63: Opening file with xr.open_dataset
11:43:57 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'time': 'time', 'x': 'x', 'y': 'y'}
11:44:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:01 INFO    opendrift:2101: 2025-11-06 12:43:48.281572 - step 2 of 48 - 2000 active elements (0 deactivated)
11:44:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:07 INFO    opendrift:2101: 2025-11-06 13:43:48.281572 - step 3 of 48 - 2000 active elements (0 deactivated)
11:44:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:09 INFO    opendrift:2101: 2025-11-06 14:43:48.281572 - step 4 of 48 - 2000 active elements (0 deactivated)
11:44:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:11 INFO    opendrift:2101: 2025-11-06 15:43:48.281572 - step 5 of 48 - 2000 active elements (0 deactivated)
11:44:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:14 INFO    opendrift:2101: 2025-11-06 16:43:48.281572 - step 6 of 48 - 2000 active elements (0 deactivated)
11:44:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:16 INFO    opendrift:2101: 2025-11-06 17:43:48.281572 - step 7 of 48 - 2000 active elements (0 deactivated)
11:44:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:19 INFO    opendrift:2101: 2025-11-06 18:43:48.281572 - step 8 of 48 - 2000 active elements (0 deactivated)
11:44:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:21 INFO    opendrift:2101: 2025-11-06 19:43:48.281572 - step 9 of 48 - 2000 active elements (0 deactivated)
11:44:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:25 INFO    opendrift:2101: 2025-11-06 20:43:48.281572 - step 10 of 48 - 2000 active elements (0 deactivated)
11:44:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:28 INFO    opendrift:2101: 2025-11-06 21:43:48.281572 - step 11 of 48 - 2000 active elements (0 deactivated)
11:44:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:31 INFO    opendrift:2101: 2025-11-06 22:43:48.281572 - step 12 of 48 - 2000 active elements (0 deactivated)
11:44:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:34 INFO    opendrift:2101: 2025-11-06 23:43:48.281572 - step 13 of 48 - 2000 active elements (0 deactivated)
11:44:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:36 INFO    opendrift:2101: 2025-11-07 00:43:48.281572 - step 14 of 48 - 2000 active elements (0 deactivated)
11:44:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:38 INFO    opendrift:2101: 2025-11-07 01:43:48.281572 - step 15 of 48 - 2000 active elements (0 deactivated)
11:44:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:41 INFO    opendrift:2101: 2025-11-07 02:43:48.281572 - step 16 of 48 - 2000 active elements (0 deactivated)
11:44:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:43 INFO    opendrift:2101: 2025-11-07 03:43:48.281572 - step 17 of 48 - 2000 active elements (0 deactivated)
11:44:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:45 INFO    opendrift:2101: 2025-11-07 04:43:48.281572 - step 18 of 48 - 2000 active elements (0 deactivated)
11:44:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:48 INFO    opendrift:2101: 2025-11-07 05:43:48.281572 - step 19 of 48 - 2000 active elements (0 deactivated)
11:44:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:50 INFO    opendrift:2101: 2025-11-07 06:43:48.281572 - step 20 of 48 - 2000 active elements (0 deactivated)
11:44:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:53 INFO    opendrift:2101: 2025-11-07 07:43:48.281572 - step 21 of 48 - 2000 active elements (0 deactivated)
11:44:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:55 INFO    opendrift:2101: 2025-11-07 08:43:48.281572 - step 22 of 48 - 2000 active elements (0 deactivated)
11:44:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:44:57 INFO    opendrift:2101: 2025-11-07 09:43:48.281572 - step 23 of 48 - 2000 active elements (0 deactivated)
11:45:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:00 INFO    opendrift:2101: 2025-11-07 10:43:48.281572 - step 24 of 48 - 2000 active elements (0 deactivated)
11:45:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:02 INFO    opendrift:2101: 2025-11-07 11:43:48.281572 - step 25 of 48 - 2000 active elements (0 deactivated)
11:45:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:05 INFO    opendrift:2101: 2025-11-07 12:43:48.281572 - step 26 of 48 - 2000 active elements (0 deactivated)
11:45:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:07 INFO    opendrift:2101: 2025-11-07 13:43:48.281572 - step 27 of 48 - 2000 active elements (0 deactivated)
11:45:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:10 INFO    opendrift:2101: 2025-11-07 14:43:48.281572 - step 28 of 48 - 2000 active elements (0 deactivated)
11:45:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:12 INFO    opendrift:2101: 2025-11-07 15:43:48.281572 - step 29 of 48 - 2000 active elements (0 deactivated)
11:45:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:14 INFO    opendrift:2101: 2025-11-07 16:43:48.281572 - step 30 of 48 - 2000 active elements (0 deactivated)
11:45:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:16 INFO    opendrift:2101: 2025-11-07 17:43:48.281572 - step 31 of 48 - 2000 active elements (0 deactivated)
11:45:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:19 INFO    opendrift:2101: 2025-11-07 18:43:48.281572 - step 32 of 48 - 2000 active elements (0 deactivated)
11:45:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:21 INFO    opendrift:2101: 2025-11-07 19:43:48.281572 - step 33 of 48 - 2000 active elements (0 deactivated)
11:45:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:24 INFO    opendrift:2101: 2025-11-07 20:43:48.281572 - step 34 of 48 - 2000 active elements (0 deactivated)
11:45:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:26 INFO    opendrift:2101: 2025-11-07 21:43:48.281572 - step 35 of 48 - 2000 active elements (0 deactivated)
11:45:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:28 INFO    opendrift:2101: 2025-11-07 22:43:48.281572 - step 36 of 48 - 2000 active elements (0 deactivated)
11:45:30 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:30 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:31 INFO    opendrift:2101: 2025-11-07 23:43:48.281572 - step 37 of 48 - 2000 active elements (0 deactivated)
11:45:33 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:33 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:33 INFO    opendrift:2101: 2025-11-08 00:43:48.281572 - step 38 of 48 - 2000 active elements (0 deactivated)
11:45:35 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:35 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:35 INFO    opendrift:2101: 2025-11-08 01:43:48.281572 - step 39 of 48 - 2000 active elements (0 deactivated)
11:45:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:37 INFO    opendrift:2101: 2025-11-08 02:43:48.281572 - step 40 of 48 - 2000 active elements (0 deactivated)
11:45:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:39 INFO    opendrift:2101: 2025-11-08 03:43:48.281572 - step 41 of 48 - 2000 active elements (0 deactivated)
11:45:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:42 INFO    opendrift:2101: 2025-11-08 04:43:48.281572 - step 42 of 48 - 2000 active elements (0 deactivated)
11:45:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:44 INFO    opendrift:2101: 2025-11-08 05:43:48.281572 - step 43 of 48 - 2000 active elements (0 deactivated)
11:45:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:46 INFO    opendrift:2101: 2025-11-08 06:43:48.281572 - step 44 of 48 - 2000 active elements (0 deactivated)
11:45:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:48 INFO    opendrift:2101: 2025-11-08 07:43:48.281572 - step 45 of 48 - 2000 active elements (0 deactivated)
11:45:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:50 INFO    opendrift:2101: 2025-11-08 08:43:48.281572 - step 46 of 48 - 2000 active elements (0 deactivated)
11:45:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:53 INFO    opendrift:2101: 2025-11-08 09:43:48.281572 - step 47 of 48 - 2000 active elements (0 deactivated)
11:45:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:55 INFO    opendrift:2101: 2025-11-08 10:43:48.281572 - step 48 of 48 - 2000 active elements (0 deactivated)
11:45:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
11:45:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor

<xarray.Dataset> Size: 13MB
Dimensions:                              (trajectory: 2000, time: 49)
Coordinates:
  * trajectory                           (trajectory) int64 16kB 0 1 ... 1999
  * time                                 (time) datetime64[ns] 392B 2025-11-0...
Data variables: (12/32)
    status                               (trajectory, time) float32 392kB 0.0...
    moving                               (trajectory, time) float32 392kB 1.0...
    age_seconds                          (trajectory, time) float32 392kB 0.0...
    origin_marker                        (trajectory, time) float32 392kB 0.0...
    lon                                  (trajectory, time) float32 392kB 14....
    lat                                  (trajectory, time) float32 392kB 68....
    ...                                   ...
    sea_water_salinity                   (trajectory, time) float32 392kB 34....
    surface_downward_x_stress            (trajectory, time) float32 392kB 0.0...
    surface_downward_y_stress            (trajectory, time) float32 392kB 0.0...
    turbulent_kinetic_energy             (trajectory, time) float32 392kB 0.0...
    turbulent_generic_length_scale       (trajectory, time) float32 392kB 0.0...
    upward_sea_water_velocity            (trajectory, time) float32 392kB 0.0...
Attributes: (12/140)
    Conventions:                                                      CF-1.11...
    standard_name_vocabulary:                                         CF Stan...
    featureType:                                                      trajectory
    title:                                                            OpenDri...
    summary:                                                          Output ...
    keywords:                                                         traject...
    ...                                                               ...
    geospatial_lon_units:                                             degrees...
    geospatial_lon_resolution:                                        point
    runtime:                                                          0:02:09...
    geospatial_vertical_min:                                          -51.592796
    geospatial_vertical_max:                                          0.0
    geospatial_vertical_positive:                                     up

xarray.Dataset

• Dimensions:
  • trajectory: 2000
  • time: 49
• Coordinates: (2)
  • trajectory
    (trajectory)
    int64
    0 1 2 3 4 ... 1996 1997 1998 1999

    cf_role :

    trajectory_id

    dtype :

    <class 'numpy.int32'>

    array([   0,    1,    2, ..., 1997, 1998, 1999], shape=(2000,))

  • time
    (time)
    datetime64[ns]
    2025-11-06T11:43:48.281572 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2025-11-06T11:43:48.281572000', '2025-11-06T12:43:48.281572000',
           '2025-11-06T13:43:48.281572000', '2025-11-06T14:43:48.281572000',
           '2025-11-06T15:43:48.281572000', '2025-11-06T16:43:48.281572000',
           '2025-11-06T17:43:48.281572000', '2025-11-06T18:43:48.281572000',
           '2025-11-06T19:43:48.281572000', '2025-11-06T20:43:48.281572000',
           '2025-11-06T21:43:48.281572000', '2025-11-06T22:43:48.281572000',
           '2025-11-06T23:43:48.281572000', '2025-11-07T00:43:48.281572000',
           '2025-11-07T01:43:48.281572000', '2025-11-07T02:43:48.281572000',
           '2025-11-07T03:43:48.281572000', '2025-11-07T04:43:48.281572000',
           '2025-11-07T05:43:48.281572000', '2025-11-07T06:43:48.281572000',
           '2025-11-07T07:43:48.281572000', '2025-11-07T08:43:48.281572000',
           '2025-11-07T09:43:48.281572000', '2025-11-07T10:43:48.281572000',
           '2025-11-07T11:43:48.281572000', '2025-11-07T12:43:48.281572000',
           '2025-11-07T13:43:48.281572000', '2025-11-07T14:43:48.281572000',
           '2025-11-07T15:43:48.281572000', '2025-11-07T16:43:48.281572000',
           '2025-11-07T17:43:48.281572000', '2025-11-07T18:43:48.281572000',
           '2025-11-07T19:43:48.281572000', '2025-11-07T20:43:48.281572000',
           '2025-11-07T21:43:48.281572000', '2025-11-07T22:43:48.281572000',
           '2025-11-07T23:43:48.281572000', '2025-11-08T00:43:48.281572000',
           '2025-11-08T01:43:48.281572000', '2025-11-08T02:43:48.281572000',
           '2025-11-08T03:43:48.281572000', '2025-11-08T04:43:48.281572000',
           '2025-11-08T05:43:48.281572000', '2025-11-08T06:43:48.281572000',
           '2025-11-08T07:43:48.281572000', '2025-11-08T08:43:48.281572000',
           '2025-11-08T09:43:48.281572000', '2025-11-08T10:43:48.281572000',
           '2025-11-08T11:43:48.281572000'], 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 ... 12.86 12.85

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    12.35679

    maxval :

    14.166034

    array([[14.084752 , 14.085696 , 14.08533  , ..., 14.025337 , 14.028958 ,
            14.030467 ],
           [14.019218 , 14.020111 , 14.019824 , ..., 13.979223 , 13.983873 ,
            13.986399 ],
           [14.047049 , 14.048041 , 14.047953 , ..., 14.004337 , 14.007725 ,
            14.009176 ],
           ...,
           [13.055853 , 13.040262 , 13.0179615, ..., 12.969446 , 12.991141 ,
            12.995638 ],
           [13.005157 , 12.9757   , 12.936649 , ..., 12.972891 , 13.000355 ,
            13.00778  ],
           [13.002091 , 12.984511 , 12.959432 , ..., 12.853034 , 12.858244 ,
            12.8541355]], shape=(2000, 49), dtype=float32)

  • lat
    (trajectory, time)
    float32
    68.11 68.11 68.11 ... 67.67 67.66

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    67.52942

    maxval :

    68.34776

    array([[68.10684 , 68.10654 , 68.10543 , ..., 68.06756 , 68.06812 ,
            68.068634],
           [68.09939 , 68.09858 , 68.097046, ..., 68.06388 , 68.06459 ,
            68.06509 ],
           [68.11965 , 68.11965 , 68.11894 , ..., 68.08839 , 68.08888 ,
            68.08937 ],
           ...,
           [67.79944 , 67.79899 , 67.799675, ..., 67.794365, 67.7852  ,
            67.777596],
           [67.82828 , 67.82804 , 67.83079 , ..., 67.81533 , 67.80606 ,
            67.79881 ],
           [67.78542 , 67.78265 , 67.78271 , ..., 67.68103 , 67.671585,
            67.662926]], shape=(2000, 49), dtype=float32)

  • z
    (trajectory, time)
    float32
    -40.0 -45.13 ... -32.52 -37.73

    dtype :

    <class 'numpy.float32'>

    units :

    m

    standard_name :

    z

    long_name :

    vertical position

    axis :

    Z

    positive :

    up

    minval :

    -51.592796

    maxval :

    0.0

    array([[-40.       , -45.125282 , -43.89637  , ...,  -2.784911 ,
             -1.2644185,  -0.5130078],
           [-40.       , -44.891514 , -45.139893 , ...,  -8.409072 ,
             -8.117845 , -27.757057 ],
           [-40.       , -26.684498 , -10.057545 , ...,  -7.8290925,
             -0.9128174,  -9.420035 ],
           ...,
           [-40.       , -38.668056 , -39.75044  , ..., -29.894281 ,
            -28.522987 , -28.140604 ],
           [-40.       , -23.398727 , -10.658576 , ...,  -6.587462 ,
             -2.0986452,  -4.459204 ],
           [-40.       , -40.460766 , -21.508593 , ..., -31.232134 ,
            -32.523773 , -37.726353 ]], 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
    0.01092 -0.00424 ... -0.04843

    minval :

    -1.1006519

    maxval :

    0.8744977

    array([[ 0.01091949, -0.00424003, -0.01416313, ...,  0.04193359,
             0.01748017,  0.01748017],
           [ 0.01032498, -0.00332175, -0.01149208, ...,  0.05387302,
             0.02926128,  0.02926128],
           [ 0.01147612, -0.00102866, -0.00917979, ...,  0.03920703,
             0.01679453,  0.01679453],
           ...,
           [-0.18268923, -0.26130542, -0.28974122, ...,  0.25436822,
             0.05274212,  0.05274212],
           [-0.34474137, -0.45697412, -0.522951  , ...,  0.3217213 ,
             0.08700259,  0.08700259],
           [-0.20614623, -0.29407662, -0.329899  , ...,  0.06138821,
            -0.04842775, -0.04842775]], shape=(2000, 49), dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    -0.009448 -0.03434 ... -0.2682

    minval :

    -0.671654

    maxval :

    0.74304825

    array([[-9.4482647e-03, -3.4342509e-02, -5.6975089e-02, ...,
             1.7548701e-02,  1.5625902e-02,  1.5625902e-02],
           [-2.5024513e-02, -4.7538646e-02, -6.7011282e-02, ...,
             2.1930484e-02,  1.5291559e-02,  1.5291559e-02],
           [ 3.4380344e-06, -2.2096954e-02, -4.4056248e-02, ...,
             1.5251095e-02,  1.5017656e-02,  1.5017656e-02],
           ...,
           [-1.3951745e-02,  2.1410163e-02,  6.4252205e-02, ...,
            -2.8371093e-01, -2.3564862e-01, -2.3564862e-01],
           [-7.3422380e-03,  8.5338108e-02,  1.9978473e-01, ...,
            -2.8713462e-01, -2.2454196e-01, -2.2454196e-01],
           [-8.5665636e-02,  1.6770073e-03,  9.5139228e-02, ...,
            -2.9266131e-01, -2.6820561e-01, -2.6820561e-01]],
          shape=(2000, 49), dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    1.125 0.8912 ... 0.1817 0.1817

    minval :

    -1.819438

    maxval :

    1.1310657

    array([[ 1.1247715 ,  0.891166  ,  0.36317515, ..., -0.43974853,
             0.24790148,  0.24790148],
           [ 1.1201584 ,  0.8873205 ,  0.3608952 , ..., -0.44132912,
             0.24508794,  0.24508794],
           [ 1.1243649 ,  0.8922044 ,  0.3654087 , ..., -0.44268304,
             0.24582662,  0.24582662],
           ...,
           [ 0.9900998 ,  0.77202946,  0.2886018 , ..., -0.46167827,
             0.17234613,  0.17234613],
           [ 0.98779416,  0.77030516,  0.28992635, ..., -0.47159123,
             0.16655846,  0.16655846],
           [ 0.97833246,  0.7587627 ,  0.27702862, ..., -0.43310827,
             0.18168016,  0.18168016]], shape=(2000, 49), dtype=float32)

  • sea_surface_wave_significant_height
    (trajectory, time)
    float32
    1.314 1.294 1.301 ... 2.332 2.332

    minval :

    0.0004115196

    maxval :

    3.9338925

    array([[1.3136268 , 1.2937254 , 1.3012815 , ..., 0.7186853 , 0.8226534 ,
            0.8226534 ],
           [0.85829264, 1.5254489 , 1.5795971 , ..., 0.88713765, 0.8435524 ,
            0.8435524 ],
           [1.3861319 , 1.0072149 , 0.92316175, ..., 0.69821954, 0.6394841 ,
            0.6394841 ],
           ...,
           [2.6118248 , 2.292966  , 2.0493133 , ..., 0.43571827, 0.2639276 ,
            0.2639276 ],
           [2.921797  , 2.9365113 , 2.1016216 , ..., 0.4259505 , 0.4006689 ,
            0.4006689 ],
           [2.4377682 , 2.5867045 , 2.456287  , ..., 2.5386374 , 2.3320408 ,
            2.3320408 ]], 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
    7.006 7.071 7.099 ... -4.178 -4.178

    minval :

    -9.588369

    maxval :

    12.021041

    array([[ 7.0063472e+00,  7.0710158e+00,  7.0989928e+00, ...,
            -1.4754915e+00, -8.5199332e-01, -8.5199332e-01],
           [ 5.4662085e+00,  7.2729220e+00,  7.4562654e+00, ...,
            -8.6902559e-01, -7.2989915e-03, -7.2989915e-03],
           [ 6.9933772e+00,  6.3754864e+00,  6.0970302e+00, ...,
            -1.4526279e+00, -1.3854374e+00, -1.3854374e+00],
           ...,
           [ 9.3978224e+00,  9.2095737e+00,  8.8413219e+00, ...,
            -2.5526059e+00, -1.9593606e+00, -1.9593606e+00],
           [ 1.0778121e+01,  1.0631478e+01,  8.9384613e+00, ...,
            -2.7060068e+00, -2.2951710e+00, -2.2951710e+00],
           [ 8.9377956e+00,  9.0738811e+00,  9.1008005e+00, ...,
            -5.2515998e+00, -4.1784821e+00, -4.1784821e+00]],
          shape=(2000, 49), dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    -2.076 -1.61 ... -8.794 -8.794

    minval :

    -9.15201

    maxval :

    3.0617206

    array([[-2.0761895 , -1.609721  , -1.5817466 , ..., -5.199786  ,
            -5.7197294 , -5.7197294 ],
           [-2.238417  , -3.0190609 , -2.935194  , ..., -5.941994  ,
            -5.855826  , -5.855826  ],
           [-2.7275462 , -0.54486346,  0.59424037, ..., -5.125698  ,
            -4.906715  , -4.906715  ],
           ...,
           [-4.2252426 , -2.8971956 , -2.2663727 , ..., -3.3460915 ,
            -2.6248183 , -2.6248183 ],
           [-1.6137967 , -2.5183427 , -2.3528068 , ..., -3.161106  ,
            -3.3195698 , -3.3195698 ],
           [-4.383158  , -4.7765336 , -4.126076  , ..., -8.695824  ,
            -8.794242  , -8.794242  ]], 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 91.72 92.22 ... 154.4 154.4

    minval :

    42.446003

    maxval :

    236.77338

    array([[ 91.598305,  91.72271 ,  92.21561 , ...,  97.36038 ,  97.69051 ,
             97.69051 ],
           [ 94.49078 ,  94.71366 ,  94.94123 , ...,  91.370926,  92.24135 ,
             92.24135 ],
           [ 86.55411 ,  86.5361  ,  86.88437 , ...,  94.70074 ,  94.96614 ,
             94.96614 ],
           ...,
           [131.81073 , 126.92994 , 119.138596, ..., 105.59879 , 118.36141 ,
            118.36141 ],
           [ 97.5854  ,  87.93561 ,  74.00526 , ...,  94.92735 , 109.58422 ,
            109.58422 ],
           [122.13024 , 117.40715 , 108.44675 , ..., 141.58568 , 154.44836 ,
            154.44836 ]], shape=(2000, 49), dtype=float32)

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

    minval :

    0.02

    maxval :

    0.02

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

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

    minval :

    50.0

    maxval :

    50.0

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

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

    minval :

    10.0

    maxval :

    10.0

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

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

    minval :

    34.0

    maxval :

    34.0

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

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

    minval :

    0.0

    maxval :

    0.0

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

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

    minval :

    0.0

    maxval :

    0.0

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

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

    minval :

    0.0

    maxval :

    0.0

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

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

    minval :

    0.0

    maxval :

    0.0

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

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

    minval :

    0.0

    maxval :

    0.0

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

• Attributes: (140)

  Conventions :

  CF-1.11, ACDD-1.3

  standard_name_vocabulary :

  CF Standard Name Table v85

  featureType :

  trajectory

  title :

  OpenDrift trajectory simulation

  summary :

  Output from simulation with OpenDrift framework

  keywords :

  trajectory, drift, lagrangian, simulation

  history :

  Created 2025-11-06 11:43:52.214965

  date_created :

  2025-11-06T11:43:52.214975

  source :

  Output from simulation with OpenDrift

  model_url :

  https://github.com/OpenDrift/opendrift

  opendrift_class :

  PelagicEggDrift

  opendrift_module :

  opendrift.models.pelagicegg

  readers :

  odict_keys(['LazyReader: https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml', 'LazyReader: https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc', 'global_landmask'])

  time_coverage_start :

  2025-11-06 11:43:48.281572

  time_step_calculation :

  1:00:00

  time_step_output :

  1:00:00

  config_environment:constant:x_sea_water_velocity :

  None

  config_environment:fallback:x_sea_water_velocity :

  0

  config_environment:constant:y_sea_water_velocity :

  None

  config_environment:fallback:y_sea_water_velocity :

  0

  config_environment:constant:sea_surface_height :

  None

  config_environment:fallback:sea_surface_height :

  0

  config_environment:constant:sea_surface_wave_significant_height :

  None

  config_environment:fallback:sea_surface_wave_significant_height :

  0

  config_environment:constant:sea_ice_area_fraction :

  None

  config_environment:fallback:sea_ice_area_fraction :

  0

  config_environment:constant:x_wind :

  None

  config_environment:fallback:x_wind :

  0

  config_environment:constant:y_wind :

  None

  config_environment:fallback:y_wind :

  0

  config_environment:constant:land_binary_mask :

  None

  config_environment:fallback:land_binary_mask :

  None

  config_environment:constant:sea_floor_depth_below_sea_level :

  None

  config_environment:fallback:sea_floor_depth_below_sea_level :

  100

  config_environment:constant:ocean_vertical_diffusivity :

  None

  config_environment:fallback:ocean_vertical_diffusivity :

  0.02

  config_environment:constant:ocean_mixed_layer_thickness :

  None

  config_environment:fallback:ocean_mixed_layer_thickness :

  50

  config_environment:constant:sea_water_temperature :

  None

  config_environment:fallback:sea_water_temperature :

  10

  config_environment:constant:sea_water_salinity :

  None

  config_environment:fallback:sea_water_salinity :

  34

  config_environment:constant:surface_downward_x_stress :

  None

  config_environment:fallback:surface_downward_x_stress :

  0

  config_environment:constant:surface_downward_y_stress :

  None

  config_environment:fallback:surface_downward_y_stress :

  0

  config_environment:constant:turbulent_kinetic_energy :

  None

  config_environment:fallback:turbulent_kinetic_energy :

  0

  config_environment:constant:turbulent_generic_length_scale :

  None

  config_environment:fallback:turbulent_generic_length_scale :

  0

  config_environment:constant:upward_sea_water_velocity :

  None

  config_environment:fallback:upward_sea_water_velocity :

  0

  config_general:use_auto_landmask :

  True

  config_drift:current_uncertainty :

  0

  config_drift:current_uncertainty_uniform :

  0

  config_drift:max_speed :

  2.0

  config_readers:max_number_of_fails :

  1

  config_general:simulation_name :

  config_general:coastline_action :

  previous

  config_general:coastline_approximation_precision :

  0.001

  config_general:time_step_minutes :

  60

  config_general:time_step_output_minutes :

  None

  config_seed:ocean_only :

  True

  config_seed:number :

  1

  config_drift:max_age_seconds :

  None

  config_drift:advection_scheme :

  euler

  config_drift:horizontal_diffusivity :

  0

  config_drift:profiles_depth :

  50

  config_drift:wind_uncertainty :

  0

  config_drift:relative_wind :

  False

  config_drift:deactivate_north_of :

  None

  config_drift:deactivate_south_of :

  None

  config_drift:deactivate_east_of :

  None

  config_drift:deactivate_west_of :

  None

  config_seed:origin_marker :

  0

  config_seed:z :

  0

  config_seed:wind_drift_factor :

  0.02

  config_seed:current_drift_factor :

  1

  config_seed:terminal_velocity :

  0.0

  config_seed:diameter :

  0.0014

  config_seed:neutral_buoyancy_salinity :

  31.25

  config_seed:density :

  1028.0

  config_seed:hatched :

  0.0

  config_drift:vertical_advection :

  True

  config_drift:vertical_advection_at_surface :

  True

  config_drift:water_column_stretching :

  False

  config_drift:vertical_advection_correction :

  False

  config_drift:vertical_mixing :

  True

  config_drift:vertical_mixing_at_surface :

  True

  config_vertical_mixing:timestep :

  60.0

  config_vertical_mixing:diffusivitymodel :

  windspeed_Sundby1983

  config_vertical_mixing:background_diffusivity :

  1.2e-05

  config_vertical_mixing:TSprofiles :

  False

  config_drift:wind_drift_depth :

  0.1

  config_drift:stokes_drift :

  True

  config_drift:stokes_drift_profile :

  Phillips

  config_drift:use_tabularised_stokes_drift :

  False

  config_drift:tabularised_stokes_drift_fetch :

  25000

  config_general:seafloor_action :

  lift_to_seafloor

  config_drift:truncate_ocean_model_below_m :

  None

  config_seed:seafloor :

  False

  opendrift_version :

  1.14.6

  seed_geojson :

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

  simulation_time :

  2025-11-06 11:43:52.221919

  reader_x_sea_water_velocity :

  ['https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml']

  reader_y_sea_water_velocity :

  ['https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml']

  reader_sea_surface_height :

  ['https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml']

  reader_sea_surface_wave_significant_height :

  0

  reader_sea_ice_area_fraction :

  0

  reader_x_wind :

  ['https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc']

  reader_y_wind :

  ['https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc']

  reader_land_binary_mask :

  ['global_landmask']

  reader_sea_floor_depth_below_sea_level :

  ['https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml']

  reader_ocean_vertical_diffusivity :

  0.02

  reader_ocean_mixed_layer_thickness :

  50

  reader_sea_water_temperature :

  10

  reader_sea_water_salinity :

  34

  reader_surface_downward_x_stress :

  0

  reader_surface_downward_y_stress :

  0

  reader_turbulent_kinetic_energy :

  0

  reader_turbulent_generic_length_scale :

  0

  reader_upward_sea_water_velocity :

  0

  time_coverage_end :

  2025-11-08 11:43:48.281572

  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 0:00:56.4 total 0:00:00.0 preparing 0:00:56.3 reading 0:00:00.0 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 0:00:54.7 total 0:00:00.0 preparing 0:00:54.5 reading 0:00:00.9 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 3.3 updating elements 3.2 vertical mixing 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  67.52942

  geospatial_lat_max :

  68.34776

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  12.35679

  geospatial_lon_max :

  14.166034

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:02:09.619400

  geospatial_vertical_min :

  -51.592796

  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
 0:00:56.4  total
 0:00:00.0  preparing
 0:00:56.3  reading
 0:00:00.0  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
 0:00:54.7  total
 0:00:00.0  preparing
 0:00:54.5  reading
 0:00:00.9  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
      3.3 updating elements
        3.2 vertical mixing
    0.0 cleaning up
--------------------
===========================
Model:  PelagicEggDrift     (OpenDrift version 1.14.6)
        2000 active PelagicEgg particles  (0 deactivated, 0 scheduled)
-------------------
Environment variables:
  -----
  land_binary_mask
     1) global_landmask
  -----
  sea_floor_depth_below_sea_level
  sea_surface_height
  x_sea_water_velocity
  y_sea_water_velocity
     1) https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
  -----
  x_wind
  y_wind
     1) https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc
  -----
Readers not added for the following variables:
  ocean_mixed_layer_thickness
  ocean_vertical_diffusivity
  sea_ice_area_fraction
  sea_surface_wave_significant_height
  sea_water_salinity
  sea_water_temperature
  surface_downward_x_stress
  surface_downward_y_stress
  turbulent_generic_length_scale
  turbulent_kinetic_energy
  upward_sea_water_velocity

Discarded readers:

Time:
        Start: 2025-11-06 11:43:48.281572 UTC
        Present: 2025-11-08 11:43:48.281572 UTC
        Calculation steps: 48 * 1:00:00 - total time: 2 days, 0:00:00
        Output steps: 49 * 1:00:00
===========================

11:45:58 WARNING opendrift:2460: Plotting fast. This will make your plots less accurate.
11:46:04 WARNING opendrift:2460: Plotting fast. This will make your plots less accurate.
11:46:05 INFO    opendrift:4636: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_0.gif...
11:46:36 INFO    opendrift:3071: Time to make animation: 0:00:32.859868

o.animate_vertical_distribution()

11:46:38 INFO    opendrift:4636: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_1.gif...
11:46:51 INFO    opendrift.models.oceandrift:643: Time to make animation: 0:00:12.746336