Cod egg

from opendrift.readers import reader_netCDF_CF_generic
from opendrift.models.pelagicegg import PelagicEggDrift
from datetime import datetime, timedelta

o = PelagicEggDrift(loglevel=20)  # Set loglevel to 0 for debug information

# Forcing with Topaz ocean model and MEPS atmospheric model
o.add_readers_from_list([
    'https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml',
    'https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc'])

14:01:05 INFO    opendrift:576: OpenDriftSimulation initialised (version 1.14.7 / v1.14.7-15-g2988cd4)

Adjusting some configuration

o.set_config('drift:vertical_mixing', True)
o.set_config('vertical_mixing:diffusivitymodel', 'windspeed_Sundby1983') # windspeed parameterization for eddy diffusivity

Vertical mixing requires fast time step

o.set_config('vertical_mixing:timestep', 60.) # seconds

spawn NEA cod eggs at defined position and time

time = datetime.now()
o.seed_elements(14. , 68.1, z=-40, radius=2000, number=500,
                time=time, diameter=0.0014, neutral_buoyancy_salinity=31.25)
o.seed_elements(12.5, 68., z=-40, radius=2000, number=500,
                time=time, diameter=0.0014, neutral_buoyancy_salinity=31.25)
o.seed_elements(13.5, 68., z=-40, radius=2000, number=500,
                time=time, diameter=0.0014, neutral_buoyancy_salinity=31.25)
o.seed_elements(13., 67.8, z=-40, radius=2000, number=500,
                time=time, diameter=0.0014, neutral_buoyancy_salinity=31.25)

14:01:05 INFO    opendrift.models.basemodel.environment:203: Adding a global landmask from GSHHG
14:01:09 INFO    opendrift.models.basemodel.environment:227: Fallback values will be used for the following variables which have no readers:
14:01:09 INFO    opendrift.models.basemodel.environment:230:    x_sea_water_velocity: 0.000000
14:01:09 INFO    opendrift.models.basemodel.environment:230:    y_sea_water_velocity: 0.000000
14:01:09 INFO    opendrift.models.basemodel.environment:230:    sea_surface_height: 0.000000
14:01:09 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_significant_height: 0.000000
14:01:09 INFO    opendrift.models.basemodel.environment:230:    sea_ice_area_fraction: 0.000000
14:01:09 INFO    opendrift.models.basemodel.environment:230:    x_wind: 0.000000
14:01:09 INFO    opendrift.models.basemodel.environment:230:    y_wind: 0.000000
14:01:09 INFO    opendrift.models.basemodel.environment:230:    sea_floor_depth_below_sea_level: 100.000000
14:01:09 INFO    opendrift.models.basemodel.environment:230:    ocean_vertical_diffusivity: 0.020000
14:01:09 INFO    opendrift.models.basemodel.environment:230:    ocean_mixed_layer_thickness: 50.000000
14:01:09 INFO    opendrift.models.basemodel.environment:230:    sea_water_temperature: 10.000000
14:01:09 INFO    opendrift.models.basemodel.environment:230:    sea_water_salinity: 34.000000
14:01:09 INFO    opendrift.models.basemodel.environment:230:    surface_downward_x_stress: 0.000000
14:01:09 INFO    opendrift.models.basemodel.environment:230:    surface_downward_y_stress: 0.000000
14:01:09 INFO    opendrift.models.basemodel.environment:230:    turbulent_kinetic_energy: 0.000000
14:01:09 INFO    opendrift.models.basemodel.environment:230:    turbulent_generic_length_scale: 0.000000
14:01:09 INFO    opendrift.models.basemodel.environment:230:    upward_sea_water_velocity: 0.000000

Running model

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

14:01:09 INFO    opendrift:1814: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
14:01:09 INFO    opendrift:1814: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
14:01:09 INFO    opendrift:952: Using existing reader for land_binary_mask to move elements to ocean
14:01:09 INFO    opendrift:982: All points are in ocean
14:01:09 INFO    opendrift:2111: 2025-12-16 14:01:05.701549 - step 1 of 48 - 2000 active elements (0 deactivated)
14:01:09 INFO    opendrift.readers:63: Opening file with xr.open_dataset
14:01:15 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'x': 'x', 'y': 'y', 'time': 'time'}
14:01:15 INFO    opendrift.readers:63: Opening file with xr.open_dataset
14:01:16 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'time': 'time', 'x': 'x', 'y': 'y'}
14:01:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:19 INFO    opendrift:2111: 2025-12-16 15:01:05.701549 - step 2 of 48 - 2000 active elements (0 deactivated)
14:01:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:26 INFO    opendrift:2111: 2025-12-16 16:01:05.701549 - step 3 of 48 - 2000 active elements (0 deactivated)
14:01:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:30 INFO    opendrift:2111: 2025-12-16 17:01:05.701549 - step 4 of 48 - 2000 active elements (0 deactivated)
14:01:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:32 INFO    opendrift:2111: 2025-12-16 18:01:05.701549 - step 5 of 48 - 2000 active elements (0 deactivated)
14:01:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:35 INFO    opendrift:2111: 2025-12-16 19:01:05.701549 - step 6 of 48 - 2000 active elements (0 deactivated)
14:01:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:37 INFO    opendrift:2111: 2025-12-16 20:01:05.701549 - step 7 of 48 - 2000 active elements (0 deactivated)
14:01:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:39 INFO    opendrift:2111: 2025-12-16 21:01:05.701549 - step 8 of 48 - 2000 active elements (0 deactivated)
14:01:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:42 INFO    opendrift:2111: 2025-12-16 22:01:05.701549 - step 9 of 48 - 2000 active elements (0 deactivated)
14:01:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:44 INFO    opendrift:2111: 2025-12-16 23:01:05.701549 - step 10 of 48 - 2000 active elements (0 deactivated)
14:01:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:47 INFO    opendrift:2111: 2025-12-17 00:01:05.701549 - step 11 of 48 - 2000 active elements (0 deactivated)
14:01:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:49 INFO    opendrift:2111: 2025-12-17 01:01:05.701549 - step 12 of 48 - 2000 active elements (0 deactivated)
14:01:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:52 INFO    opendrift:2111: 2025-12-17 02:01:05.701549 - step 13 of 48 - 2000 active elements (0 deactivated)
14:01:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:54 INFO    opendrift:2111: 2025-12-17 03:01:05.701549 - step 14 of 48 - 2000 active elements (0 deactivated)
14:01:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:57 INFO    opendrift:2111: 2025-12-17 04:01:05.701549 - step 15 of 48 - 2000 active elements (0 deactivated)
14:01:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:01:59 INFO    opendrift:2111: 2025-12-17 05:01:05.701549 - step 16 of 48 - 2000 active elements (0 deactivated)
14:02:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:02 INFO    opendrift:2111: 2025-12-17 06:01:05.701549 - step 17 of 48 - 2000 active elements (0 deactivated)
14:02:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:05 INFO    opendrift:2111: 2025-12-17 07:01:05.701549 - step 18 of 48 - 2000 active elements (0 deactivated)
14:02:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:07 INFO    opendrift:2111: 2025-12-17 08:01:05.701549 - step 19 of 48 - 2000 active elements (0 deactivated)
14:02:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:10 INFO    opendrift:2111: 2025-12-17 09:01:05.701549 - step 20 of 48 - 2000 active elements (0 deactivated)
14:02:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:14 INFO    opendrift:2111: 2025-12-17 10:01:05.701549 - step 21 of 48 - 2000 active elements (0 deactivated)
14:02:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:18 INFO    opendrift:2111: 2025-12-17 11:01:05.701549 - step 22 of 48 - 2000 active elements (0 deactivated)
14:02:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:21 INFO    opendrift:2111: 2025-12-17 12:01:05.701549 - step 23 of 48 - 2000 active elements (0 deactivated)
14:02:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:24 INFO    opendrift:2111: 2025-12-17 13:01:05.701549 - step 24 of 48 - 2000 active elements (0 deactivated)
14:02:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:26 INFO    opendrift:2111: 2025-12-17 14:01:05.701549 - step 25 of 48 - 2000 active elements (0 deactivated)
14:02:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:31 INFO    opendrift:2111: 2025-12-17 15:01:05.701549 - step 26 of 48 - 2000 active elements (0 deactivated)
14:02:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:34 INFO    opendrift:2111: 2025-12-17 16:01:05.701549 - step 27 of 48 - 2000 active elements (0 deactivated)
14:02:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:37 INFO    opendrift:2111: 2025-12-17 17:01:05.701549 - step 28 of 48 - 2000 active elements (0 deactivated)
14:02:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:40 INFO    opendrift:2111: 2025-12-17 18:01:05.701549 - step 29 of 48 - 2000 active elements (0 deactivated)
14:02:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:45 INFO    opendrift:2111: 2025-12-17 19:01:05.701549 - step 30 of 48 - 2000 active elements (0 deactivated)
14:02:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:48 INFO    opendrift:2111: 2025-12-17 20:01:05.701549 - step 31 of 48 - 2000 active elements (0 deactivated)
14:02:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:50 INFO    opendrift:2111: 2025-12-17 21:01:05.701549 - step 32 of 48 - 2000 active elements (0 deactivated)
14:02:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:53 INFO    opendrift:2111: 2025-12-17 22:01:05.701549 - step 33 of 48 - 2000 active elements (0 deactivated)
14:02:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:56 INFO    opendrift:2111: 2025-12-17 23:01:05.701549 - step 34 of 48 - 2000 active elements (0 deactivated)
14:02:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:02:59 INFO    opendrift:2111: 2025-12-18 00:01:05.701549 - step 35 of 48 - 2000 active elements (0 deactivated)
14:03:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:03:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:03:02 INFO    opendrift:2111: 2025-12-18 01:01:05.701549 - step 36 of 48 - 2000 active elements (0 deactivated)
14:03:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:03:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:03:07 INFO    opendrift:2111: 2025-12-18 02:01:05.701549 - step 37 of 48 - 2000 active elements (0 deactivated)
14:03:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:03:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:03:10 INFO    opendrift:2111: 2025-12-18 03:01:05.701549 - step 38 of 48 - 2000 active elements (0 deactivated)
14:03:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:03:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:03:12 INFO    opendrift:2111: 2025-12-18 04:01:05.701549 - step 39 of 48 - 2000 active elements (0 deactivated)
14:03:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:03:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:03:15 INFO    opendrift:2111: 2025-12-18 05:01:05.701549 - step 40 of 48 - 2000 active elements (0 deactivated)
14:03:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:03:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:03:18 INFO    opendrift:2111: 2025-12-18 06:01:05.701549 - step 41 of 48 - 2000 active elements (0 deactivated)
14:03:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:03:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:03:20 INFO    opendrift:2111: 2025-12-18 07:01:05.701549 - step 42 of 48 - 2000 active elements (0 deactivated)
14:03:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:03:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:03:23 INFO    opendrift:2111: 2025-12-18 08:01:05.701549 - step 43 of 48 - 2000 active elements (0 deactivated)
14:03:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:03:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:03:25 INFO    opendrift:2111: 2025-12-18 09:01:05.701549 - step 44 of 48 - 2000 active elements (0 deactivated)
14:03:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:03:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:03:27 INFO    opendrift:2111: 2025-12-18 10:01:05.701549 - step 45 of 48 - 2000 active elements (0 deactivated)
14:03:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:03:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:03:29 INFO    opendrift:2111: 2025-12-18 11:01:05.701549 - step 46 of 48 - 2000 active elements (0 deactivated)
14:03:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:03:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:03:31 INFO    opendrift:2111: 2025-12-18 12:01:05.701549 - step 47 of 48 - 2000 active elements (0 deactivated)
14:03:33 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:03:33 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:03:33 INFO    opendrift:2111: 2025-12-18 13:01:05.701549 - step 48 of 48 - 2000 active elements (0 deactivated)
14:03:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:03:36 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 2025-12-1...
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:                                                          0:02:30...
    geospatial_vertical_min:                                          -52.8577
    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]
    2025-12-16T14:01:05.701549 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2025-12-16T14:01:05.701549000', '2025-12-16T15:01:05.701549000',
           '2025-12-16T16:01:05.701549000', '2025-12-16T17:01:05.701549000',
           '2025-12-16T18:01:05.701549000', '2025-12-16T19:01:05.701549000',
           '2025-12-16T20:01:05.701549000', '2025-12-16T21:01:05.701549000',
           '2025-12-16T22:01:05.701549000', '2025-12-16T23:01:05.701549000',
           '2025-12-17T00:01:05.701549000', '2025-12-17T01:01:05.701549000',
           '2025-12-17T02:01:05.701549000', '2025-12-17T03:01:05.701549000',
           '2025-12-17T04:01:05.701549000', '2025-12-17T05:01:05.701549000',
           '2025-12-17T06:01:05.701549000', '2025-12-17T07:01:05.701549000',
           '2025-12-17T08:01:05.701549000', '2025-12-17T09:01:05.701549000',
           '2025-12-17T10:01:05.701549000', '2025-12-17T11:01:05.701549000',
           '2025-12-17T12:01:05.701549000', '2025-12-17T13:01:05.701549000',
           '2025-12-17T14:01:05.701549000', '2025-12-17T15:01:05.701549000',
           '2025-12-17T16:01:05.701549000', '2025-12-17T17:01:05.701549000',
           '2025-12-17T18:01:05.701549000', '2025-12-17T19:01:05.701549000',
           '2025-12-17T20:01:05.701549000', '2025-12-17T21:01:05.701549000',
           '2025-12-17T22:01:05.701549000', '2025-12-17T23:01:05.701549000',
           '2025-12-18T00:01:05.701549000', '2025-12-18T01:01:05.701549000',
           '2025-12-18T02:01:05.701549000', '2025-12-18T03:01:05.701549000',
           '2025-12-18T04:01:05.701549000', '2025-12-18T05:01:05.701549000',
           '2025-12-18T06:01:05.701549000', '2025-12-18T07:01:05.701549000',
           '2025-12-18T08:01:05.701549000', '2025-12-18T09:01:05.701549000',
           '2025-12-18T10:01:05.701549000', '2025-12-18T11:01:05.701549000',
           '2025-12-18T12:01:05.701549000', '2025-12-18T13:01:05.701549000',
           '2025-12-18T14:01:05.701549000'], 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 14.1 ... 13.27 13.27

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    12.35679

    maxval :

    14.418804

    array([[14.084752 , 14.093162 , 14.102544 , ..., 14.346621 , 14.342854 ,
            14.3394985],
           [14.019218 , 14.02861  , 14.03891  , ..., 14.208863 , 14.203387 ,
            14.19868  ],
           [14.047049 , 14.05519  , 14.064142 , ..., 14.251472 , 14.247182 ,
            14.247182 ],
           ...,
           [13.055853 , 13.064341 , 13.079725 , ..., 13.315765 , 13.309786 ,
            13.304435 ],
           [13.005157 , 13.013619 , 13.0315695, ..., 13.256963 , 13.251935 ,
            13.248024 ],
           [13.002091 , 13.010324 , 13.026443 , ..., 13.281567 , 13.274842 ,
            13.268856 ]], shape=(2000, 49), dtype=float32)

  • lat
    (trajectory, time)
    float32
    68.11 68.11 68.11 ... 67.87 67.87

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    67.73293

    maxval :

    68.46371

    array([[68.10684 , 68.108215, 68.109634, ..., 68.16393 , 68.16504 ,
            68.16572 ],
           [68.09939 , 68.10042 , 68.10152 , ..., 68.163895, 68.166885,
            68.16919 ],
           [68.11965 , 68.12105 , 68.122444, ..., 68.1705  , 68.1705  ,
            68.1705  ],
           ...,
           [67.79944 , 67.80392 , 67.80795 , ..., 67.88218 , 67.8826  ,
            67.882774],
           [67.82828 , 67.83441 , 67.839645, ..., 67.92482 , 67.925125,
            67.92528 ],
           [67.78542 , 67.79087 , 67.79556 , ..., 67.86989 , 67.870544,
            67.87094 ]], shape=(2000, 49), dtype=float32)

  • z
    (trajectory, time)
    float32
    -40.0 -51.06 ... -33.45 -40.42

    dtype :

    <class 'numpy.float32'>

    units :

    m

    standard_name :

    z

    long_name :

    vertical position

    axis :

    Z

    positive :

    up

    minval :

    -52.8577

    maxval :

    0.0

    array([[-40.       , -51.06357  , -42.589188 , ...,  -4.2837143,
             -1.6884564,  -0.7197256],
           [-40.       , -50.626274 , -48.98675  , ..., -11.092503 ,
            -10.107463 , -35.628677 ],
           [-40.       , -17.859865 ,  -8.507426 , ...,  -8.280435 ,
             -1.3034655,  -9.772308 ],
           ...,
           [-40.       , -39.35824  , -37.420204 , ..., -39.35486  ,
            -39.99382  , -42.72693  ],
           [-40.       , -26.623184 , -11.340661 , ..., -16.09761  ,
             -2.3313282,  -6.8571124],
           [-40.       , -40.38655  , -21.82888  , ..., -31.578955 ,
            -33.4483   , -40.42093  ]], 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
    0.09724 0.1085 ... -0.06993

    minval :

    -0.18871689

    maxval :

    0.43550625

    array([[ 0.09723532,  0.1084846 ,  0.12224191, ..., -0.0434539 ,
            -0.03869612, -0.03869612],
           [ 0.1086337 ,  0.11912337,  0.12943529, ..., -0.06316166,
            -0.05428571, -0.05428571],
           [ 0.09408478,  0.10344898,  0.11302443, ..., -0.0659567 ,
            -0.05197318, -0.05197318],
           ...,
           [ 0.09943634,  0.18020932,  0.24460417, ..., -0.06981257,
            -0.06248383, -0.06248383],
           [ 0.09900897,  0.20996118,  0.29033378, ..., -0.0585976 ,
            -0.04558021, -0.04558021],
           [ 0.09649306,  0.18891314,  0.26741484, ..., -0.07855088,
            -0.06992912, -0.06992912]], shape=(2000, 49), dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    0.04244 0.04416 ... 0.01213 0.01213

    minval :

    -0.1279687

    maxval :

    0.4517832

    array([[0.04243739, 0.04415719, 0.04936445, ..., 0.0342739 , 0.02120857,
            0.02120857],
           [0.03188746, 0.03401396, 0.04142849, ..., 0.09255631, 0.07150027,
            0.07150027],
           [0.0432711 , 0.0432908 , 0.04835501, ..., 0.08554724, 0.06200022,
            0.06200022],
           ...,
           [0.13867892, 0.12515663, 0.10564654, ..., 0.01298239, 0.00538878,
            0.00538878],
           [0.19009513, 0.1620322 , 0.12917612, ..., 0.00951941, 0.0047355 ,
            0.0047355 ],
           [0.16885234, 0.14539367, 0.11013511, ..., 0.02031487, 0.01213486,
            0.01213486]], shape=(2000, 49), dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    -0.5588 -0.7157 ... 0.2735 0.2735

    minval :

    -0.96934927

    maxval :

    0.86406904

    array([[-0.5588418 , -0.7157132 , -0.6840815 , ...,  0.6530699 ,
             0.29256105,  0.29256105],
           [-0.5582365 , -0.7149877 , -0.6836341 , ...,  0.65319324,
             0.2965672 ,  0.2965672 ],
           [-0.5583452 , -0.71565217, -0.68442446, ...,  0.65552723,
             0.29744413,  0.29744413],
           ...,
           [-0.52853894, -0.66926855, -0.64524835, ...,  0.6072266 ,
             0.27456808,  0.27456808],
           [-0.5232716 , -0.6671109 , -0.64853716, ...,  0.6169899 ,
             0.28478053,  0.28478053],
           [-0.52682304, -0.66576993, -0.64220136, ...,  0.60465634,
             0.2734715 ,  0.2734715 ]], shape=(2000, 49), dtype=float32)

  • sea_surface_wave_significant_height
    (trajectory, time)
    float32
    3.258 3.33 3.877 ... 3.276 3.276

    minval :

    0.00013109347

    maxval :

    7.6669416

    array([[3.2575393, 3.330497 , 3.8774045, ..., 1.7775159, 1.7232552,
            1.7232552],
           [2.5119593, 4.119873 , 4.752452 , ..., 1.7274758, 1.7465844,
            1.7465844],
           [4.145822 , 4.176821 , 4.5520487, ..., 0.7856004, 0.7485104,
            0.7485104],
           ...,
           [4.133757 , 3.771119 , 2.6412156, ..., 2.3763006, 2.3684227,
            2.3684227],
           [1.9974663, 2.424487 , 3.2226574, ..., 1.5434058, 1.774957 ,
            1.774957 ],
           [2.5458677, 2.3994133, 2.391829 , ..., 3.2115004, 3.2758512,
            3.2758512]], shape=(2000, 49), dtype=float32)

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

    minval :

    0.0

    maxval :

    0.0

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

  • x_wind
    (trajectory, time)
    float32
    4.509 3.754 ... -0.2135 -0.2135

    minval :

    -8.506055

    maxval :

    12.888006

    array([[ 4.5085006 ,  3.7538793 ,  4.9706893 , ..., -3.2705238 ,
            -1.2845582 , -1.2845582 ],
           [ 2.6049333 ,  4.4070616 ,  4.794634  , ..., -2.8643374 ,
            -1.2330246 , -1.2330246 ],
           [ 5.2558775 ,  3.7977118 ,  4.0007033 , ..., -1.9699367 ,
            -2.3724878 , -2.3724878 ],
           ...,
           [ 3.4827814 ,  4.598464  ,  2.438574  , ...,  1.0703673 ,
             0.7710666 ,  0.7710666 ],
           [ 2.9187691 ,  2.506357  ,  3.9759793 , ...,  2.6829453 ,
             2.8083458 ,  2.8083458 ],
           [ 4.7785306 ,  4.904014  ,  3.932401  , ...,  0.492421  ,
            -0.21347979, -0.21347979]], shape=(2000, 49), dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    10.59 11.01 11.53 ... 11.54 11.54

    minval :

    -1.291503

    maxval :

    16.992586

    array([[10.587433 , 11.013375 , 11.528674 , ...,  7.846045 ,  8.270485 ,
             8.270485 ],
           [ 9.763529 , 12.167675 , 13.046095 , ...,  7.875162 ,  8.335407 ,
             8.335407 ],
           [11.870346 , 12.464624 , 13.001424 , ...,  5.2966332,  4.979815 ,
             4.979815 ],
           ...,
           [12.486358 , 11.495724 , 10.070743 , ...,  9.769949 ,  9.781759 ,
             9.781759 ],
           [ 8.525175 ,  9.605966 , 10.732843 , ...,  7.452642 ,  8.0166025,
             8.0166025],
           [ 8.98088  ,  8.572501 ,  9.042403 , ..., 11.41518  , 11.537725 ,
            11.537725 ]], 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 90.9 89.52 ... 135.2 135.2

    minval :

    22.858898

    maxval :

    206.66043

    array([[ 91.5983  ,  90.89888 ,  89.52309 , ...,  62.851353,  61.49624 ,
             61.49624 ],
           [ 94.490776,  95.229805,  94.73859 , ...,  41.24033 ,  39.36222 ,
             39.36222 ],
           [ 86.5541  ,  85.72629 ,  84.8646  , ...,  40.676598,  39.487995,
             39.487995],
           ...,
           [131.81073 , 131.25507 , 132.30304 , ..., 136.96646 , 135.04851 ,
            135.04851 ],
           [ 97.5854  ,  95.88953 ,  97.30306 , ..., 103.56151 , 102.64431 ,
            102.64431 ],
           [122.13024 , 121.71269 , 124.333595, ..., 137.46927 , 135.18556 ,
            135.18556 ]], 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(['2025-12-16 14:01:05.701549', '2025-12-16 15:01:05.701549',
                   '2025-12-16 16:01:05.701549', '2025-12-16 17:01:05.701549',
                   '2025-12-16 18:01:05.701549', '2025-12-16 19:01:05.701549',
                   '2025-12-16 20:01:05.701549', '2025-12-16 21:01:05.701549',
                   '2025-12-16 22:01:05.701549', '2025-12-16 23:01:05.701549',
                   '2025-12-17 00:01:05.701549', '2025-12-17 01:01:05.701549',
                   '2025-12-17 02:01:05.701549', '2025-12-17 03:01:05.701549',
                   '2025-12-17 04:01:05.701549', '2025-12-17 05:01:05.701549',
                   '2025-12-17 06:01:05.701549', '2025-12-17 07:01:05.701549',
                   '2025-12-17 08:01:05.701549', '2025-12-17 09:01:05.701549',
                   '2025-12-17 10:01:05.701549', '2025-12-17 11:01:05.701549',
                   '2025-12-17 12:01:05.701549', '2025-12-17 13:01:05.701549',
                   '2025-12-17 14:01:05.701549', '2025-12-17 15:01:05.701549',
                   '2025-12-17 16:01:05.701549', '2025-12-17 17:01:05.701549',
                   '2025-12-17 18:01:05.701549', '2025-12-17 19:01:05.701549',
                   '2025-12-17 20:01:05.701549', '2025-12-17 21:01:05.701549',
                   '2025-12-17 22:01:05.701549', '2025-12-17 23:01:05.701549',
                   '2025-12-18 00:01:05.701549', '2025-12-18 01:01:05.701549',
                   '2025-12-18 02:01:05.701549', '2025-12-18 03:01:05.701549',
                   '2025-12-18 04:01:05.701549', '2025-12-18 05:01:05.701549',
                   '2025-12-18 06:01:05.701549', '2025-12-18 07:01:05.701549',
                   '2025-12-18 08:01:05.701549', '2025-12-18 09:01:05.701549',
                   '2025-12-18 10:01:05.701549', '2025-12-18 11:01:05.701549',
                   '2025-12-18 12:01:05.701549', '2025-12-18 13:01:05.701549',
                   '2025-12-18 14:01:05.701549'],
                  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 2025-12-16 14:01:09.645576

  date_created :

  2025-12-16T14:01:09.645591

  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 :

  2025-12-16 14:01:05.701549

  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 :

  1.14.7

  seed_geojson :

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

  simulation_time :

  2025-12-16 14:01:09.652813

  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 :

  2025-12-18 14:01:05.701549

  time_coverage_duration :

  P2DT0H0M0S

  time_coverage_resolution :

  P0DT1H0M0S

  performance :

  -------------------- Reader performance: -------------------- global_landmask 0:00:01.5 total 0:00:00.0 preparing 0:00:01.5 reading 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml 0:01:01.5 total 0:00:00.0 preparing 0:01:01.3 reading 0:00:00.1 interpolation 0:00:00.0 interpolation_time 0:00:00.1 rotating vectors 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc 0:01:09.9 total 0:00:00.0 preparing 0:01:09.8 reading 0:00:00.9 interpolation 0:00:00.0 interpolation_time 0:00:00.1 rotating vectors 0:00:00.0 masking -------------------- Performance: 2:30.7 total time 3.9 configuration 0.0 preparing main loop 0.0 moving elements to ocean 2:26.7 main loop 3.3 updating elements 3.3 vertical mixing 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  67.73293

  geospatial_lat_max :

  68.46371

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  12.35679

  geospatial_lon_max :

  14.418804

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:02:30.717356

  geospatial_vertical_min :

  -52.8577

  geospatial_vertical_max :

  0.0

  geospatial_vertical_positive :

  up

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

print(o)

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

===========================
--------------------
Reader performance:
--------------------
global_landmask
 0:00:01.5  total
 0:00:00.0  preparing
 0:00:01.5  reading
 0:00:00.0  masking
--------------------
https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
 0:01:01.5  total
 0:00:00.0  preparing
 0:01:01.3  reading
 0:00:00.1  interpolation
 0:00:00.0  interpolation_time
 0:00:00.1  rotating vectors
 0:00:00.0  masking
--------------------
https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc
 0:01:09.9  total
 0:00:00.0  preparing
 0:01:09.8  reading
 0:00:00.9  interpolation
 0:00:00.0  interpolation_time
 0:00:00.1  rotating vectors
 0:00:00.0  masking
--------------------
Performance:
 2:30.7 total time
    3.9 configuration
    0.0 preparing main loop
      0.0 moving elements to ocean
 2:26.7 main loop
      3.3 updating elements
        3.3 vertical mixing
    0.0 cleaning up
--------------------
===========================
Model:  PelagicEggDrift     (OpenDrift version 1.14.7)
        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: 2025-12-16 14:01:05.701549 UTC
        Present: 2025-12-18 14:01:05.701549 UTC
        Calculation steps: 48 * 1:00:00 - total time: 2 days, 0:00:00
        Output steps: 49 * 1:00:00
===========================

14:03:36 WARNING opendrift:2473: Plotting fast. This will make your plots less accurate.
14:03:42 WARNING opendrift:2473: Plotting fast. This will make your plots less accurate.
14:03:43 INFO    opendrift:4660: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_0.gif...
14:04:16 INFO    opendrift:3094: Time to make animation: 0:00:34.105499

o.animate_vertical_distribution()

14:04:17 INFO    opendrift:4660: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_1.gif...
14:04:29 INFO    opendrift.models.oceandrift:643: Time to make animation: 0:00:11.970120