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'])

18:28:09 INFO    opendrift:576: OpenDriftSimulation initialised (version 1.14.9 / v1.14.9-1-g9eceedb)

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)

18:28:09 INFO    opendrift.models.basemodel.environment:203: Adding a global landmask from GSHHG
18:28:13 INFO    opendrift.models.basemodel.environment:227: Fallback values will be used for the following variables which have no readers:
18:28:13 INFO    opendrift.models.basemodel.environment:230:    x_sea_water_velocity: 0.000000
18:28:13 INFO    opendrift.models.basemodel.environment:230:    y_sea_water_velocity: 0.000000
18:28:13 INFO    opendrift.models.basemodel.environment:230:    sea_surface_height: 0.000000
18:28:13 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_significant_height: 0.000000
18:28:13 INFO    opendrift.models.basemodel.environment:230:    sea_ice_area_fraction: 0.000000
18:28:13 INFO    opendrift.models.basemodel.environment:230:    x_wind: 0.000000
18:28:13 INFO    opendrift.models.basemodel.environment:230:    y_wind: 0.000000
18:28:13 INFO    opendrift.models.basemodel.environment:230:    sea_floor_depth_below_sea_level: 100.000000
18:28:13 INFO    opendrift.models.basemodel.environment:230:    ocean_vertical_diffusivity: 0.020000
18:28:13 INFO    opendrift.models.basemodel.environment:230:    ocean_mixed_layer_thickness: 50.000000
18:28:13 INFO    opendrift.models.basemodel.environment:230:    sea_water_temperature: 10.000000
18:28:13 INFO    opendrift.models.basemodel.environment:230:    sea_water_salinity: 34.000000
18:28:13 INFO    opendrift.models.basemodel.environment:230:    surface_downward_x_stress: 0.000000
18:28:13 INFO    opendrift.models.basemodel.environment:230:    surface_downward_y_stress: 0.000000
18:28:13 INFO    opendrift.models.basemodel.environment:230:    turbulent_kinetic_energy: 0.000000
18:28:13 INFO    opendrift.models.basemodel.environment:230:    turbulent_generic_length_scale: 0.000000
18:28:13 INFO    opendrift.models.basemodel.environment:230:    upward_sea_water_velocity: 0.000000

Running model

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

18:28:13 INFO    opendrift:1847: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
18:28:13 INFO    opendrift:1847: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
18:28:13 INFO    opendrift:955: Using existing reader for land_binary_mask to move elements to ocean
18:28:13 INFO    opendrift:986: All points are in ocean
18:28:13 INFO    opendrift:2144: 2026-03-18 18:28:09.515546 - step 1 of 48 - 2000 active elements (0 deactivated)
18:28:13 INFO    opendrift.readers:64: Opening file with xr.open_dataset
18:28:15 INFO    opendrift.readers.reader_netCDF_CF_generic:340: Detected dimensions: {'x': 'x', 'y': 'y', 'time': 'time'}
18:28:15 INFO    opendrift.readers:64: Opening file with xr.open_dataset
18:28:17 INFO    opendrift.readers.reader_netCDF_CF_generic:340: Detected dimensions: {'time': 'time', 'x': 'x', 'y': 'y'}
18:28:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:28:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:28:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:28:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:28:21 INFO    opendrift:2144: 2026-03-18 19:28:09.515546 - step 2 of 48 - 2000 active elements (0 deactivated)
18:28:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:28:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:28:26 INFO    opendrift:2144: 2026-03-18 20:28:09.515546 - step 3 of 48 - 2000 active elements (0 deactivated)
18:28:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:28:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:28:29 INFO    opendrift:2144: 2026-03-18 21:28:09.515546 - step 4 of 48 - 2000 active elements (0 deactivated)
18:28:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:28:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:28:31 INFO    opendrift:2144: 2026-03-18 22:28:09.515546 - step 5 of 48 - 2000 active elements (0 deactivated)
18:28:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:28:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:28:34 INFO    opendrift:2144: 2026-03-18 23:28:09.515546 - step 6 of 48 - 2000 active elements (0 deactivated)
18:28:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:28:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:28:36 INFO    opendrift:2144: 2026-03-19 00:28:09.515546 - step 7 of 48 - 2000 active elements (0 deactivated)
18:28:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:28:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:28:38 INFO    opendrift:2144: 2026-03-19 01:28:09.515546 - step 8 of 48 - 2000 active elements (0 deactivated)
18:28:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:28:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:28:41 INFO    opendrift:2144: 2026-03-19 02:28:09.515546 - step 9 of 48 - 2000 active elements (0 deactivated)
18:28:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:28:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:28:44 INFO    opendrift:2144: 2026-03-19 03:28:09.515546 - step 10 of 48 - 2000 active elements (0 deactivated)
18:28:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:28:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:28:47 INFO    opendrift:2144: 2026-03-19 04:28:09.515546 - step 11 of 48 - 2000 active elements (0 deactivated)
18:28:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:28:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:28:49 INFO    opendrift:2144: 2026-03-19 05:28:09.515546 - step 12 of 48 - 2000 active elements (0 deactivated)
18:28:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:28:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:28:53 INFO    opendrift:2144: 2026-03-19 06:28:09.515546 - step 13 of 48 - 2000 active elements (0 deactivated)
18:28:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:28:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:28:57 INFO    opendrift:2144: 2026-03-19 07:28:09.515546 - step 14 of 48 - 2000 active elements (0 deactivated)
18:29:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:01 INFO    opendrift:2144: 2026-03-19 08:28:09.515546 - step 15 of 48 - 2000 active elements (0 deactivated)
18:29:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:06 INFO    opendrift:2144: 2026-03-19 09:28:09.515546 - step 16 of 48 - 2000 active elements (0 deactivated)
18:29:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:10 INFO    opendrift:2144: 2026-03-19 10:28:09.515546 - step 17 of 48 - 2000 active elements (0 deactivated)
18:29:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:14 INFO    opendrift:2144: 2026-03-19 11:28:09.515546 - step 18 of 48 - 2000 active elements (0 deactivated)
18:29:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:19 INFO    opendrift:2144: 2026-03-19 12:28:09.515546 - step 19 of 48 - 2000 active elements (0 deactivated)
18:29:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:23 INFO    opendrift:2144: 2026-03-19 13:28:09.515546 - step 20 of 48 - 2000 active elements (0 deactivated)
18:29:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:27 INFO    opendrift:2144: 2026-03-19 14:28:09.515546 - step 21 of 48 - 2000 active elements (0 deactivated)
18:29:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:31 INFO    opendrift:2144: 2026-03-19 15:28:09.515546 - step 22 of 48 - 2000 active elements (0 deactivated)
18:29:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:36 INFO    opendrift:2144: 2026-03-19 16:28:09.515546 - step 23 of 48 - 2000 active elements (0 deactivated)
18:29:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:40 INFO    opendrift:2144: 2026-03-19 17:28:09.515546 - step 24 of 48 - 2000 active elements (0 deactivated)
18:29:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:44 INFO    opendrift:2144: 2026-03-19 18:28:09.515546 - step 25 of 48 - 2000 active elements (0 deactivated)
18:29:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:48 INFO    opendrift:2144: 2026-03-19 19:28:09.515546 - step 26 of 48 - 2000 active elements (0 deactivated)
18:29:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:51 INFO    opendrift:2144: 2026-03-19 20:28:09.515546 - step 27 of 48 - 2000 active elements (0 deactivated)
18:29:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:53 INFO    opendrift:2144: 2026-03-19 21:28:09.515546 - step 28 of 48 - 2000 active elements (0 deactivated)
18:29:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:56 INFO    opendrift:2144: 2026-03-19 22:28:09.515546 - step 29 of 48 - 2000 active elements (0 deactivated)
18:29:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:29:59 INFO    opendrift:2144: 2026-03-19 23:28:09.515546 - step 30 of 48 - 2000 active elements (0 deactivated)
18:30:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:01 INFO    opendrift:2144: 2026-03-20 00:28:09.515546 - step 31 of 48 - 2000 active elements (0 deactivated)
18:30:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:04 INFO    opendrift:2144: 2026-03-20 01:28:09.515546 - step 32 of 48 - 2000 active elements (0 deactivated)
18:30:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:07 INFO    opendrift:2144: 2026-03-20 02:28:09.515546 - step 33 of 48 - 2000 active elements (0 deactivated)
18:30:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:09 INFO    opendrift:2144: 2026-03-20 03:28:09.515546 - step 34 of 48 - 2000 active elements (0 deactivated)
18:30:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:12 INFO    opendrift:2144: 2026-03-20 04:28:09.515546 - step 35 of 48 - 2000 active elements (0 deactivated)
18:30:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:15 INFO    opendrift:2144: 2026-03-20 05:28:09.515546 - step 36 of 48 - 2000 active elements (0 deactivated)
18:30:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:17 INFO    opendrift:2144: 2026-03-20 06:28:09.515546 - step 37 of 48 - 2000 active elements (0 deactivated)
18:30:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:20 INFO    opendrift:2144: 2026-03-20 07:28:09.515546 - step 38 of 48 - 2000 active elements (0 deactivated)
18:30:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:23 INFO    opendrift:2144: 2026-03-20 08:28:09.515546 - step 39 of 48 - 2000 active elements (0 deactivated)
18:30:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:26 INFO    opendrift:2144: 2026-03-20 09:28:09.515546 - step 40 of 48 - 2000 active elements (0 deactivated)
18:30:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:29 INFO    opendrift:2144: 2026-03-20 10:28:09.515546 - step 41 of 48 - 2000 active elements (0 deactivated)
18:30:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:31 INFO    opendrift:2144: 2026-03-20 11:28:09.515546 - step 42 of 48 - 2000 active elements (0 deactivated)
18:30:33 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:33 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:33 INFO    opendrift:2144: 2026-03-20 12:28:09.515546 - step 43 of 48 - 2000 active elements (0 deactivated)
18:30:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:36 INFO    opendrift:2144: 2026-03-20 13:28:09.515546 - step 44 of 48 - 2000 active elements (0 deactivated)
18:30:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:39 INFO    opendrift:2144: 2026-03-20 14:28:09.515546 - step 45 of 48 - 2000 active elements (0 deactivated)
18:30:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:41 INFO    opendrift:2144: 2026-03-20 15:28:09.515546 - step 46 of 48 - 2000 active elements (0 deactivated)
18:30:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:44 INFO    opendrift:2144: 2026-03-20 16:28:09.515546 - step 47 of 48 - 2000 active elements (0 deactivated)
18:30:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:46 INFO    opendrift:2144: 2026-03-20 17:28:09.515546 - step 48 of 48 - 2000 active elements (0 deactivated)
18:30:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
18:30:48 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 2026-03-1...
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: (12/140)
    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:                                                          0:02:39...
    geospatial_vertical_min:                                          -53.393692
    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]
    2026-03-18T18:28:09.515546 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2026-03-18T18:28:09.515546000', '2026-03-18T19:28:09.515546000',
           '2026-03-18T20:28:09.515546000', '2026-03-18T21:28:09.515546000',
           '2026-03-18T22:28:09.515546000', '2026-03-18T23:28:09.515546000',
           '2026-03-19T00:28:09.515546000', '2026-03-19T01:28:09.515546000',
           '2026-03-19T02:28:09.515546000', '2026-03-19T03:28:09.515546000',
           '2026-03-19T04:28:09.515546000', '2026-03-19T05:28:09.515546000',
           '2026-03-19T06:28:09.515546000', '2026-03-19T07:28:09.515546000',
           '2026-03-19T08:28:09.515546000', '2026-03-19T09:28:09.515546000',
           '2026-03-19T10:28:09.515546000', '2026-03-19T11:28:09.515546000',
           '2026-03-19T12:28:09.515546000', '2026-03-19T13:28:09.515546000',
           '2026-03-19T14:28:09.515546000', '2026-03-19T15:28:09.515546000',
           '2026-03-19T16:28:09.515546000', '2026-03-19T17:28:09.515546000',
           '2026-03-19T18:28:09.515546000', '2026-03-19T19:28:09.515546000',
           '2026-03-19T20:28:09.515546000', '2026-03-19T21:28:09.515546000',
           '2026-03-19T22:28:09.515546000', '2026-03-19T23:28:09.515546000',
           '2026-03-20T00:28:09.515546000', '2026-03-20T01:28:09.515546000',
           '2026-03-20T02:28:09.515546000', '2026-03-20T03:28:09.515546000',
           '2026-03-20T04:28:09.515546000', '2026-03-20T05:28:09.515546000',
           '2026-03-20T06:28:09.515546000', '2026-03-20T07:28:09.515546000',
           '2026-03-20T08:28:09.515546000', '2026-03-20T09:28:09.515546000',
           '2026-03-20T10:28:09.515546000', '2026-03-20T11:28:09.515546000',
           '2026-03-20T12:28:09.515546000', '2026-03-20T13:28:09.515546000',
           '2026-03-20T14:28:09.515546000', '2026-03-20T15:28:09.515546000',
           '2026-03-20T16:28:09.515546000', '2026-03-20T17:28:09.515546000',
           '2026-03-20T18:28:09.515546000'], 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 14.1 14.12 ... 13.63 13.65

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    12.35679

    maxval :

    14.70584

    array([[14.084752 , 14.101045 , 14.119658 , ..., 14.629005 , 14.639576 ,
            14.653196 ],
           [14.019218 , 14.035833 , 14.05446  , ..., 14.546195 , 14.556219 ,
            14.569096 ],
           [14.047049 , 14.062553 , 14.080019 , ..., 14.569776 , 14.579347 ,
            14.591823 ],
           ...,
           [13.055853 , 13.08762  , 13.121315 , ..., 13.698982 , 13.709927 ,
            13.723003 ],
           [13.005157 , 13.045354 , 13.085325 , ..., 13.6998005, 13.71302  ,
            13.728207 ],
           [13.002091 , 13.035304 , 13.070898 , ..., 13.619846 , 13.6316185,
            13.645657 ]], shape=(2000, 49), dtype=float32)

  • lat
    (trajectory, time)
    float32
    68.11 68.11 68.11 ... 67.82 67.82

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    67.68582

    maxval :

    68.20067

    array([[68.10684 , 68.108475, 68.110344, ..., 68.0774  , 68.07781 ,
            68.07845 ],
           [68.09939 , 68.10143 , 68.103645, ..., 68.079155, 68.078835,
            68.078835],
           [68.11965 , 68.12122 , 68.12301 , ..., 68.09037 , 68.090126,
            68.0902  ],
           ...,
           [67.79944 , 67.80192 , 67.80402 , ..., 67.81918 , 67.816635,
            67.81405 ],
           [67.82828 , 67.83029 , 67.83185 , ..., 67.875435, 67.87413 ,
            67.87282 ],
           [67.78542 , 67.78691 , 67.78742 , ..., 67.81874 , 67.81693 ,
            67.81503 ]], shape=(2000, 49), dtype=float32)

  • z
    (trajectory, time)
    float32
    -40.0 -44.54 ... -30.48 -39.48

    dtype :

    <class 'numpy.float32'>

    units :

    m

    standard_name :

    z

    long_name :

    vertical position

    axis :

    Z

    positive :

    up

    minval :

    -53.393692

    maxval :

    0.0

    array([[-40.       , -44.536846 , -43.68649  , ...,  -4.789686 ,
             -1.824112 ,  -1.3423675],
           [-40.       , -51.336334 , -48.554688 , ..., -15.856852 ,
            -13.752187 , -46.831615 ],
           [-40.       , -20.898335 ,  -7.6798577, ..., -18.82716  ,
             -9.889803 , -20.538265 ],
           ...,
           [-40.       , -39.387123 , -39.090748 , ..., -32.640152 ,
            -35.080242 , -40.15033  ],
           [-40.       , -26.145536 , -13.440688 , ..., -27.904179 ,
             -3.1944873, -10.683203 ],
           [-40.       , -37.08147  , -10.702044 , ..., -47.625523 ,
            -30.481787 , -39.476498 ]], 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
    0.1884 0.2152 ... 0.1644 0.1644

    minval :

    -0.18678689

    maxval :

    0.6250057

    array([[0.1883909 , 0.21519777, 0.21739   , ..., 0.12238944, 0.15769933,
            0.15769933],
           [0.19217141, 0.21541925, 0.21338421, ..., 0.11604968, 0.14908618,
            0.14908618],
           [0.17918256, 0.20182008, 0.20168379, ..., 0.11075133, 0.14437424,
            0.14437424],
           ...,
           [0.3721948 , 0.39474976, 0.33886138, ..., 0.12815113, 0.15313227,
            0.15313227],
           [0.47038528, 0.46772107, 0.36044818, ..., 0.15441534, 0.17738727,
            0.17738727],
           [0.3893753 , 0.41729355, 0.3650627 , ..., 0.13783963, 0.16437925,
            0.16437925]], shape=(2000, 49), dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    0.05057 0.05798 ... -0.05893

    minval :

    -0.5137054

    maxval :

    0.63858676

    array([[ 5.0566368e-02,  5.7979837e-02,  5.6722857e-02, ...,
             1.2663342e-02,  1.9968394e-02,  1.9968394e-02],
           [ 6.3304357e-02,  6.8755031e-02,  6.5493189e-02, ...,
            -9.8434705e-03,  5.1134779e-05,  5.1134779e-05],
           [ 4.8679117e-02,  5.5442031e-02,  5.6728955e-02, ...,
            -7.5762677e-03,  2.2502905e-03,  2.2502905e-03],
           ...,
           [ 7.7012576e-02,  6.5223545e-02,  7.7524938e-02, ...,
            -7.8882650e-02, -8.0155253e-02, -8.0155253e-02],
           [ 6.2584937e-02,  4.8423365e-02,  8.6189829e-02, ...,
            -4.0390272e-02, -4.0537324e-02, -4.0537324e-02],
           [ 4.6281662e-02,  1.5862772e-02,  1.8200733e-02, ...,
            -5.6014225e-02, -5.8930282e-02, -5.8930282e-02]],
          shape=(2000, 49), dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    -1.021 -0.5903 ... -1.196 -1.196

    minval :

    -1.6202865

    maxval :

    1.4338822

    array([[-1.0213151 , -0.5903333 ,  0.03747398, ..., -0.7771937 ,
            -1.247314  , -1.247314  ],
           [-1.0188596 , -0.589433  ,  0.03549238, ..., -0.77293986,
            -1.243463  , -1.243463  ],
           [-1.0214814 , -0.5918501 ,  0.03455685, ..., -0.7727461 ,
            -1.2438242 , -1.2438242 ],
           ...,
           [-0.95197004, -0.55930436, -0.0020259 , ..., -0.7487441 ,
            -1.2030383 , -1.2030383 ],
           [-0.9585812 , -0.5737554 , -0.01633042, ..., -0.74270856,
            -1.2013547 , -1.2013547 ],
           [-0.9477859 , -0.55740803, -0.00459338, ..., -0.74247694,
            -1.196429  , -1.196429  ]], shape=(2000, 49), dtype=float32)

  • sea_surface_wave_significant_height
    (trajectory, time)
    float32
    3.428 3.781 3.994 ... 5.323 5.323

    minval :

    0.67164385

    maxval :

    9.718563

    array([[3.4278734, 3.780691 , 3.9942942, ..., 4.918264 , 4.606649 ,
            4.606649 ],
           [4.5348797, 3.8358765, 4.8348823, ..., 3.937519 , 3.1921108,
            3.1921108],
           [3.2831333, 2.2353723, 2.9972446, ..., 4.915728 , 5.2905116,
            5.2905116],
           ...,
           [4.203514 , 6.1753016, 7.6030874, ..., 4.8681364, 4.6714387,
            4.6714387],
           [3.808063 , 4.3812227, 4.0033426, ..., 5.1142097, 5.2303243,
            5.2303243],
           [5.6022243, 7.098626 , 6.2853794, ..., 5.348783 , 5.3232837,
            5.3232837]], 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
    8.737 10.35 12.12 ... 9.849 9.849

    minval :

    4.3872104

    maxval :

    18.68382

    array([[ 8.737412 , 10.35381  , 12.122405 , ...,  8.820319 ,  8.408054 ,
             8.408054 ],
           [ 9.58684  ,  9.999725 , 11.83473  , ...,  8.343896 ,  6.326805 ,
             6.326805 ],
           [ 7.197115 ,  8.813105 , 10.792573 , ...,  8.341198 ,  8.903814 ,
             8.903814 ],
           ...,
           [11.085064 , 15.209744 , 17.291819 , ..., 10.723507 , 10.41902  ,
            10.41902  ],
           [ 9.671936 , 12.573723 , 12.557925 , ..., 10.463114 , 10.271658 ,
            10.271658 ],
           [14.592006 , 16.577585 , 15.348082 , ..., 10.0735445,  9.849427 ,
             9.849427 ]], shape=(2000, 49), dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    7.937 6.818 3.926 ... 10.93 10.93

    minval :

    -7.7225556

    maxval :

    14.962793

    array([[ 7.9373846,  6.818009 ,  3.9264486, ..., 11.051309 , 10.79661  ,
            10.79661  ],
           [ 9.614428 ,  7.4789996,  7.515256 , ...,  9.510056 ,  9.472705 ,
             9.472705 ],
           [ 9.036716 ,  3.6329036,  2.3150783, ..., 11.412745 , 11.652619 ,
            11.652619 ],
           ...,
           [ 6.927908 ,  4.4375916,  3.1720023, ...,  9.104842 ,  9.018864 ,
             9.018864 ],
           [ 7.8264275,  4.4721355,  2.24411  , ...,  9.920583 , 10.349292 ,
            10.349292 ],
           [ 3.8478663,  3.7075248,  4.465379 , ..., 10.768189 , 10.926228 ,
            10.926228 ]], shape=(2000, 49), dtype=float32)

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

    minval :

    0.0

    maxval :

    0.0

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

  • sea_floor_depth_below_sea_level
    (trajectory, time)
    float32
    91.6 90.46 87.28 ... 245.9 245.9

    minval :

    34.69149

    maxval :

    328.95825

    array([[ 91.5983  ,  90.462074,  87.28298 , ..., 311.3203  , 312.93063 ,
            312.93063 ],
           [ 94.49079 ,  94.8586  ,  93.48192 , ..., 300.59174 , 301.4596  ,
            301.4596  ],
           [ 86.554115,  85.468925,  83.33115 , ..., 300.21777 , 301.00928 ,
            301.00928 ],
           ...,
           [131.81073 , 138.06879 , 144.41068 , ..., 252.9036  , 254.1364  ,
            254.1364  ],
           [ 97.5854  , 108.09949 , 117.78673 , ..., 224.21466 , 227.54176 ,
            227.54176 ],
           [122.13024 , 131.80453 , 141.83563 , ..., 243.54823 , 245.9148  ,
            245.9148  ]], 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(['2026-03-18 18:28:09.515546', '2026-03-18 19:28:09.515546',
                   '2026-03-18 20:28:09.515546', '2026-03-18 21:28:09.515546',
                   '2026-03-18 22:28:09.515546', '2026-03-18 23:28:09.515546',
                   '2026-03-19 00:28:09.515546', '2026-03-19 01:28:09.515546',
                   '2026-03-19 02:28:09.515546', '2026-03-19 03:28:09.515546',
                   '2026-03-19 04:28:09.515546', '2026-03-19 05:28:09.515546',
                   '2026-03-19 06:28:09.515546', '2026-03-19 07:28:09.515546',
                   '2026-03-19 08:28:09.515546', '2026-03-19 09:28:09.515546',
                   '2026-03-19 10:28:09.515546', '2026-03-19 11:28:09.515546',
                   '2026-03-19 12:28:09.515546', '2026-03-19 13:28:09.515546',
                   '2026-03-19 14:28:09.515546', '2026-03-19 15:28:09.515546',
                   '2026-03-19 16:28:09.515546', '2026-03-19 17:28:09.515546',
                   '2026-03-19 18:28:09.515546', '2026-03-19 19:28:09.515546',
                   '2026-03-19 20:28:09.515546', '2026-03-19 21:28:09.515546',
                   '2026-03-19 22:28:09.515546', '2026-03-19 23:28:09.515546',
                   '2026-03-20 00:28:09.515546', '2026-03-20 01:28:09.515546',
                   '2026-03-20 02:28:09.515546', '2026-03-20 03:28:09.515546',
                   '2026-03-20 04:28:09.515546', '2026-03-20 05:28:09.515546',
                   '2026-03-20 06:28:09.515546', '2026-03-20 07:28:09.515546',
                   '2026-03-20 08:28:09.515546', '2026-03-20 09:28:09.515546',
                   '2026-03-20 10:28:09.515546', '2026-03-20 11:28:09.515546',
                   '2026-03-20 12:28:09.515546', '2026-03-20 13:28:09.515546',
                   '2026-03-20 14:28:09.515546', '2026-03-20 15:28:09.515546',
                   '2026-03-20 16:28:09.515546', '2026-03-20 17:28:09.515546',
                   '2026-03-20 18:28:09.515546'],
                  dtype='datetime64[ns]', name='time', freq='h'))

• Attributes: (140)

  Conventions :

  CF-1.11, ACDD-1.3

  standard_name_vocabulary :

  CF Standard Name Table v85

  featureType :

  trajectory

  title :

  OpenDrift trajectory simulation

  summary :

  Output from simulation with OpenDrift framework

  keywords :

  trajectory, drift, lagrangian, simulation

  history :

  Created 2026-03-18 18:28:13.300750

  date_created :

  2026-03-18T18:28:13.300760

  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 :

  2026-03-18 18:28:09.515546

  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 :

  1.14.9

  seed_geojson :

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

  simulation_time :

  2026-03-18 18:28:13.307280

  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 :

  2026-03-20 18:28:09.515546

  time_coverage_duration :

  P2DT0H0M0S

  time_coverage_resolution :

  P0DT1H0M0S

  performance :

  -------------------- Reader performance: -------------------- global_landmask 0:00:01.3 total 0:00:00.0 preparing 0:00:01.3 reading 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml 0:01:10.8 total 0:00:00.0 preparing 0:01:10.7 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 0:01:13.4 total 0:00:00.0 preparing 0:01:13.3 reading 0:00:00.7 interpolation 0:00:00.0 interpolation_time 0:00:00.1 rotating vectors 0:00:00.0 masking -------------------- Performance: 2:39.4 total time 3.7 configuration 0.0 preparing main loop 0.0 moving elements to ocean 2:35.6 main loop 2.6 updating elements 2.6 vertical mixing 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  67.68582

  geospatial_lat_max :

  68.20067

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  12.35679

  geospatial_lon_max :

  14.70584

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:02:39.420786

  geospatial_vertical_min :

  -53.393692

  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
 0:00:01.3  total
 0:00:00.0  preparing
 0:00:01.3  reading
 0:00:00.0  masking
--------------------
https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
 0:01:10.8  total
 0:00:00.0  preparing
 0:01:10.7  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
 0:01:13.4  total
 0:00:00.0  preparing
 0:01:13.3  reading
 0:00:00.7  interpolation
 0:00:00.0  interpolation_time
 0:00:00.1  rotating vectors
 0:00:00.0  masking
--------------------
Performance:
 2:39.4 total time
    3.7 configuration
    0.0 preparing main loop
      0.0 moving elements to ocean
 2:35.6 main loop
      2.6 updating elements
        2.6 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: 2026-03-18 18:28:09.515546 UTC
        Present: 2026-03-20 18:28:09.515546 UTC
        Calculation steps: 48 * 1:00:00 - total time: 2 days, 0:00:00
        Output steps: 49 * 1:00:00
===========================

18:30:49 WARNING opendrift:2507: Plotting fast. This will make your plots less accurate.
18:30:54 WARNING opendrift:2507: Plotting fast. This will make your plots less accurate.
18:30:55 INFO    opendrift:4705: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_0.gif...
18:31:27 INFO    opendrift:3128: Time to make animation: 0:00:32.736601

o.animate_vertical_distribution()

18:31:28 INFO    opendrift:4705: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_1.gif...
18:31:39 INFO    opendrift.models.oceandrift:644: Time to make animation: 0:00:11.270570