Cod egg

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

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

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

09:55:27 INFO    opendrift:509: OpenDriftSimulation initialised (version 1.14.2 / v1.14.2-59-g60ee835)

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.utcnow()
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)

/root/project/examples/example_codegg.py:28: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  time = datetime.utcnow()
09:55:27 INFO    opendrift.models.basemodel.environment:206: Adding a global landmask from GSHHG
09:55:32 INFO    opendrift.models.basemodel.environment:229: Fallback values will be used for the following variables which have no readers:
09:55:32 INFO    opendrift.models.basemodel.environment:232:    x_sea_water_velocity: 0.000000
09:55:32 INFO    opendrift.models.basemodel.environment:232:    y_sea_water_velocity: 0.000000
09:55:32 INFO    opendrift.models.basemodel.environment:232:    sea_surface_height: 0.000000
09:55:32 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_significant_height: 0.000000
09:55:32 INFO    opendrift.models.basemodel.environment:232:    sea_ice_area_fraction: 0.000000
09:55:32 INFO    opendrift.models.basemodel.environment:232:    x_wind: 0.000000
09:55:32 INFO    opendrift.models.basemodel.environment:232:    y_wind: 0.000000
09:55:32 INFO    opendrift.models.basemodel.environment:232:    sea_floor_depth_below_sea_level: 100.000000
09:55:32 INFO    opendrift.models.basemodel.environment:232:    ocean_vertical_diffusivity: 0.020000
09:55:32 INFO    opendrift.models.basemodel.environment:232:    ocean_mixed_layer_thickness: 50.000000
09:55:32 INFO    opendrift.models.basemodel.environment:232:    sea_water_temperature: 10.000000
09:55:32 INFO    opendrift.models.basemodel.environment:232:    sea_water_salinity: 34.000000
09:55:32 INFO    opendrift.models.basemodel.environment:232:    surface_downward_x_stress: 0.000000
09:55:32 INFO    opendrift.models.basemodel.environment:232:    surface_downward_y_stress: 0.000000
09:55:32 INFO    opendrift.models.basemodel.environment:232:    turbulent_kinetic_energy: 0.000000
09:55:32 INFO    opendrift.models.basemodel.environment:232:    turbulent_generic_length_scale: 0.000000
09:55:32 INFO    opendrift.models.basemodel.environment:232:    upward_sea_water_velocity: 0.000000

Running model

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

09:55:32 INFO    opendrift:885: Using existing reader for land_binary_mask
09:55:32 INFO    opendrift:914: All points are in ocean
09:55:32 INFO    opendrift:2035: Storing previous position of elements for coastline interaction
09:55:32 INFO    opendrift:2096: 2025-06-26 09:55:27.913616 - step 1 of 48 - 2000 active elements (0 deactivated)
09:55:32 INFO    opendrift.readers:61: Opening file with xr.open_dataset
09:55:34 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'x': 'x', 'y': 'y', 'time': 'time'}
09:55:34 INFO    opendrift.readers:61: Opening file with xr.open_dataset
09:55:35 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'time': 'time', 'x': 'x', 'y': 'y'}
09:55:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:55:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:55:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:55:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:55:37 INFO    opendrift:2096: 2025-06-26 10:55:27.913616 - step 2 of 48 - 2000 active elements (0 deactivated)
09:55:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:55:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:55:41 INFO    opendrift:2096: 2025-06-26 11:55:27.913616 - step 3 of 48 - 2000 active elements (0 deactivated)
09:55:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:55:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:55:43 INFO    opendrift:2096: 2025-06-26 12:55:27.913616 - step 4 of 48 - 2000 active elements (0 deactivated)
09:55:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:55:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:55:46 INFO    opendrift:2096: 2025-06-26 13:55:27.913616 - step 5 of 48 - 2000 active elements (0 deactivated)
09:55:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:55:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:55:48 INFO    opendrift:2096: 2025-06-26 14:55:27.913616 - step 6 of 48 - 2000 active elements (0 deactivated)
09:55:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:55:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:55:50 INFO    opendrift:2096: 2025-06-26 15:55:27.913616 - step 7 of 48 - 2000 active elements (0 deactivated)
09:55:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:55:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:55:52 INFO    opendrift:2096: 2025-06-26 16:55:27.913616 - step 8 of 48 - 2000 active elements (0 deactivated)
09:55:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:55:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:55:54 INFO    opendrift:2096: 2025-06-26 17:55:27.913616 - step 9 of 48 - 2000 active elements (0 deactivated)
09:55:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:55:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:55:56 INFO    opendrift:2096: 2025-06-26 18:55:27.913616 - step 10 of 48 - 2000 active elements (0 deactivated)
09:55:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:55:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:55:59 INFO    opendrift:2096: 2025-06-26 19:55:27.913616 - step 11 of 48 - 2000 active elements (0 deactivated)
09:56:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:01 INFO    opendrift:2096: 2025-06-26 20:55:27.913616 - step 12 of 48 - 2000 active elements (0 deactivated)
09:56:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:03 INFO    opendrift:2096: 2025-06-26 21:55:27.913616 - step 13 of 48 - 2000 active elements (0 deactivated)
09:56:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:05 INFO    opendrift:2096: 2025-06-26 22:55:27.913616 - step 14 of 48 - 2000 active elements (0 deactivated)
09:56:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:07 INFO    opendrift:2096: 2025-06-26 23:55:27.913616 - step 15 of 48 - 2000 active elements (0 deactivated)
09:56:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:10 INFO    opendrift:2096: 2025-06-27 00:55:27.913616 - step 16 of 48 - 2000 active elements (0 deactivated)
09:56:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:12 INFO    opendrift:2096: 2025-06-27 01:55:27.913616 - step 17 of 48 - 2000 active elements (0 deactivated)
09:56:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:14 INFO    opendrift:2096: 2025-06-27 02:55:27.913616 - step 18 of 48 - 2000 active elements (0 deactivated)
09:56:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:16 INFO    opendrift:2096: 2025-06-27 03:55:27.913616 - step 19 of 48 - 2000 active elements (0 deactivated)
09:56:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:18 INFO    opendrift:2096: 2025-06-27 04:55:27.913616 - step 20 of 48 - 2000 active elements (0 deactivated)
09:56:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:20 INFO    opendrift:2096: 2025-06-27 05:55:27.913616 - step 21 of 48 - 2000 active elements (0 deactivated)
09:56:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:23 INFO    opendrift:2096: 2025-06-27 06:55:27.913616 - step 22 of 48 - 2000 active elements (0 deactivated)
09:56:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:25 INFO    opendrift:2096: 2025-06-27 07:55:27.913616 - step 23 of 48 - 2000 active elements (0 deactivated)
09:56:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:27 INFO    opendrift:2096: 2025-06-27 08:55:27.913616 - step 24 of 48 - 2000 active elements (0 deactivated)
09:56:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:29 INFO    opendrift:2096: 2025-06-27 09:55:27.913616 - step 25 of 48 - 2000 active elements (0 deactivated)
09:56:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:32 INFO    opendrift:2096: 2025-06-27 10:55:27.913616 - step 26 of 48 - 2000 active elements (0 deactivated)
09:56:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:34 INFO    opendrift:2096: 2025-06-27 11:55:27.913616 - step 27 of 48 - 2000 active elements (0 deactivated)
09:56:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:36 INFO    opendrift:2096: 2025-06-27 12:55:27.913616 - step 28 of 48 - 2000 active elements (0 deactivated)
09:56:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:38 INFO    opendrift:2096: 2025-06-27 13:55:27.913616 - step 29 of 48 - 2000 active elements (0 deactivated)
09:56:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:40 INFO    opendrift:2096: 2025-06-27 14:55:27.913616 - step 30 of 48 - 2000 active elements (0 deactivated)
09:56:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:43 INFO    opendrift:2096: 2025-06-27 15:55:27.913616 - step 31 of 48 - 2000 active elements (0 deactivated)
09:56:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:45 INFO    opendrift:2096: 2025-06-27 16:55:27.913616 - step 32 of 48 - 2000 active elements (0 deactivated)
09:56:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:47 INFO    opendrift:2096: 2025-06-27 17:55:27.913616 - step 33 of 48 - 2000 active elements (0 deactivated)
09:56:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:49 INFO    opendrift:2096: 2025-06-27 18:55:27.913616 - step 34 of 48 - 2000 active elements (0 deactivated)
09:56:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:51 INFO    opendrift:2096: 2025-06-27 19:55:27.913616 - step 35 of 48 - 2000 active elements (0 deactivated)
09:56:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:54 INFO    opendrift:2096: 2025-06-27 20:55:27.913616 - step 36 of 48 - 2000 active elements (0 deactivated)
09:56:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:56 INFO    opendrift:2096: 2025-06-27 21:55:27.913616 - step 37 of 48 - 2000 active elements (0 deactivated)
09:56:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:56:58 INFO    opendrift:2096: 2025-06-27 22:55:27.913616 - step 38 of 48 - 2000 active elements (0 deactivated)
09:57:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:57:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:57:00 INFO    opendrift:2096: 2025-06-27 23:55:27.913616 - step 39 of 48 - 2000 active elements (0 deactivated)
09:57:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:57:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:57:02 INFO    opendrift:2096: 2025-06-28 00:55:27.913616 - step 40 of 48 - 2000 active elements (0 deactivated)
09:57:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:57:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:57:05 INFO    opendrift:2096: 2025-06-28 01:55:27.913616 - step 41 of 48 - 2000 active elements (0 deactivated)
09:57:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:57:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:57:07 INFO    opendrift:2096: 2025-06-28 02:55:27.913616 - step 42 of 48 - 2000 active elements (0 deactivated)
09:57:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:57:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:57:09 INFO    opendrift:2096: 2025-06-28 03:55:27.913616 - step 43 of 48 - 2000 active elements (0 deactivated)
09:57:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:57:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:57:11 INFO    opendrift:2096: 2025-06-28 04:55:27.913616 - step 44 of 48 - 2000 active elements (0 deactivated)
09:57:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:57:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:57:13 INFO    opendrift:2096: 2025-06-28 05:55:27.913616 - step 45 of 48 - 2000 active elements (0 deactivated)
09:57:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:57:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:57:15 INFO    opendrift:2096: 2025-06-28 06:55:27.913616 - step 46 of 48 - 2000 active elements (0 deactivated)
09:57:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:57:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:57:17 INFO    opendrift:2096: 2025-06-28 07:55:27.913616 - step 47 of 48 - 2000 active elements (0 deactivated)
09:57:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:57:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:57:19 INFO    opendrift:2096: 2025-06-28 08:55:27.913616 - step 48 of 48 - 2000 active elements (0 deactivated)
09:57:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:57:22 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 2025-06-2...
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: (12/138)
    Conventions:                                                      CF-1.11...
    standard_name_vocabulary:                                         CF Stan...
    featureType:                                                      trajectory
    title:                                                            OpenDri...
    summary:                                                          Output ...
    keywords:                                                         traject...
    ...                                                               ...
    geospatial_lon_units:                                             degrees...
    geospatial_lon_resolution:                                        point
    runtime:                                                          0:01:54...
    geospatial_vertical_min:                                          -51.75509
    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]
    2025-06-26T09:55:27.913616 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2025-06-26T09:55:27.913616000', '2025-06-26T10:55:27.913616000',
           '2025-06-26T11:55:27.913616000', '2025-06-26T12:55:27.913616000',
           '2025-06-26T13:55:27.913616000', '2025-06-26T14:55:27.913616000',
           '2025-06-26T15:55:27.913616000', '2025-06-26T16:55:27.913616000',
           '2025-06-26T17:55:27.913616000', '2025-06-26T18:55:27.913616000',
           '2025-06-26T19:55:27.913616000', '2025-06-26T20:55:27.913616000',
           '2025-06-26T21:55:27.913616000', '2025-06-26T22:55:27.913616000',
           '2025-06-26T23:55:27.913616000', '2025-06-27T00:55:27.913616000',
           '2025-06-27T01:55:27.913616000', '2025-06-27T02:55:27.913616000',
           '2025-06-27T03:55:27.913616000', '2025-06-27T04:55:27.913616000',
           '2025-06-27T05:55:27.913616000', '2025-06-27T06:55:27.913616000',
           '2025-06-27T07:55:27.913616000', '2025-06-27T08:55:27.913616000',
           '2025-06-27T09:55:27.913616000', '2025-06-27T10:55:27.913616000',
           '2025-06-27T11:55:27.913616000', '2025-06-27T12:55:27.913616000',
           '2025-06-27T13:55:27.913616000', '2025-06-27T14:55:27.913616000',
           '2025-06-27T15:55:27.913616000', '2025-06-27T16:55:27.913616000',
           '2025-06-27T17:55:27.913616000', '2025-06-27T18:55:27.913616000',
           '2025-06-27T19:55:27.913616000', '2025-06-27T20:55:27.913616000',
           '2025-06-27T21:55:27.913616000', '2025-06-27T22:55:27.913616000',
           '2025-06-27T23:55:27.913616000', '2025-06-28T00:55:27.913616000',
           '2025-06-28T01:55:27.913616000', '2025-06-28T02:55:27.913616000',
           '2025-06-28T03:55:27.913616000', '2025-06-28T04:55:27.913616000',
           '2025-06-28T05:55:27.913616000', '2025-06-28T06:55:27.913616000',
           '2025-06-28T07:55:27.913616000', '2025-06-28T08:55:27.913616000',
           '2025-06-28T09:55:27.913616000'], dtype='datetime64[ns]')

• Data variables: (32)
  • status
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

    dtype :

    <class 'numpy.int32'>

    valid_range :

    [0 0]

    flag_values :

    [0]

    flag_meanings :

    active

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

  • moving
    (trajectory, time)
    float32
    1.0 1.0 1.0 1.0 ... 1.0 1.0 1.0 1.0

    dtype :

    <class 'numpy.int32'>

    minval :

    1

    maxval :

    1

    array([[1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.],
           ...,
           [1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.]], shape=(2000, 49), dtype=float32)

  • age_seconds
    (trajectory, time)
    float32
    0.0 3.6e+03 ... 1.692e+05 1.728e+05

    dtype :

    <class 'numpy.float32'>

    units :

    s

    minval :

    0.0

    maxval :

    172800.0

    array([[     0.,   3600.,   7200., ..., 165600., 169200., 172800.],
           [     0.,   3600.,   7200., ..., 165600., 169200., 172800.],
           [     0.,   3600.,   7200., ..., 165600., 169200., 172800.],
           ...,
           [     0.,   3600.,   7200., ..., 165600., 169200., 172800.],
           [     0.,   3600.,   7200., ..., 165600., 169200., 172800.],
           [     0.,   3600.,   7200., ..., 165600., 169200., 172800.]],
          shape=(2000, 49), dtype=float32)

  • origin_marker
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 3.0 3.0 3.0 3.0

    dtype :

    <class 'numpy.int32'>

    unit :

    description :

    An integer kept constant during the simulation. Different values may be used for different seedings, to separate elements during analysis. With GUI, only a single seeding is possible.

    flag_values :

    [0 1 2 3]

    flag_meanings :

    Seed_0 Seed_1 Seed_2 Seed_3

    minval :

    0

    maxval :

    3

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [3., 3., 3., ..., 3., 3., 3.],
           [3., 3., 3., ..., 3., 3., 3.],
           [3., 3., 3., ..., 3., 3., 3.]], shape=(2000, 49), dtype=float32)

  • lon
    (trajectory, time)
    float32
    14.08 14.08 14.08 ... 13.0 13.04

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    12.287437

    maxval :

    14.165857

    array([[14.084752 , 14.080642 , 14.0769005, ..., 14.124578 , 14.134059 ,
            14.13909  ],
           [14.019218 , 14.014423 , 14.00972  , ..., 14.043311 , 14.05096  ,
            14.055944 ],
           [14.047049 , 14.042297 , 14.0375395, ..., 14.069971 , 14.075922 ,
            14.078084 ],
           ...,
           [13.055853 , 13.063794 , 13.06611  , ..., 12.973576 , 13.010887 ,
            13.041583 ],
           [13.005157 , 13.007796 , 12.998092 , ..., 13.013546 , 13.041657 ,
            13.063695 ],
           [13.002091 , 13.005811 , 12.996208 , ..., 12.951862 , 12.999442 ,
            13.044078 ]], shape=(2000, 49), dtype=float32)

  • lat
    (trajectory, time)
    float32
    68.11 68.11 68.11 ... 67.78 67.77

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    67.60549

    maxval :

    68.3627

    array([[68.10684 , 68.10872 , 68.11151 , ..., 68.17796 , 68.1715  ,
            68.16646 ],
           [68.09939 , 68.10079 , 68.10307 , ..., 68.16053 , 68.15618 ,
            68.1524  ],
           [68.11965 , 68.12107 , 68.12379 , ..., 68.18264 , 68.176125,
            68.17058 ],
           ...,
           [67.79944 , 67.79947 , 67.80119 , ..., 67.85781 , 67.85306 ,
            67.84823 ],
           [67.82828 , 67.82327 , 67.821396, ..., 67.85042 , 67.848   ,
            67.84642 ],
           [67.78542 , 67.777306, 67.77201 , ..., 67.78151 , 67.7764  ,
            67.76713 ]], shape=(2000, 49), dtype=float32)

  • z
    (trajectory, time)
    float32
    -40.0 -46.32 ... -17.0 -17.98

    dtype :

    <class 'numpy.float32'>

    units :

    m

    standard_name :

    z

    long_name :

    vertical position

    axis :

    Z

    positive :

    up

    minval :

    -51.75509

    maxval :

    0.0

    array([[-40.        , -46.319798  , -45.887184  , ...,  -2.683764  ,
             -1.2608916 ,  -0.62146896],
           [-40.        , -42.0028    , -40.244095  , ...,  -7.6854844 ,
             -7.786157  , -28.356197  ],
           [-40.        , -29.986778  , -16.895988  , ...,  -8.438069  ,
             -1.5515913 ,  -9.39359   ],
           ...,
           [-40.        , -37.009457  , -33.70115   , ..., -33.02094   ,
            -31.792738  , -31.452915  ],
           [-40.        , -30.608723  , -18.122204  , ...,  -6.558894  ,
             -2.4159896 ,  -4.1107407 ],
           [-40.        , -39.908688  , -27.503384  , ..., -18.533325  ,
            -16.998384  , -17.982176  ]], 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
    -0.04753 -0.04325 ... 0.5237 0.5237

    minval :

    -1.0596255

    maxval :

    0.94248265

    array([[-0.04752531, -0.04325111, -0.02873507, ...,  0.10932002,
             0.05802163,  0.05802163],
           [-0.05546656, -0.05439482, -0.04058733, ...,  0.08826084,
             0.0575275 ,  0.0575275 ],
           [-0.05490394, -0.05498232, -0.03945955, ...,  0.06860552,
             0.02493698,  0.02493698],
           ...,
           [ 0.0930538 ,  0.02712568, -0.03875895, ...,  0.4361995 ,
             0.35893655,  0.35893655],
           [ 0.03088718, -0.11360782, -0.23296545, ...,  0.32871285,
             0.25771278,  0.25771278],
           [ 0.04362644, -0.11264936, -0.24204762, ...,  0.55806947,
             0.5237427 ,  0.5237427 ]], shape=(2000, 49), dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    0.05817 0.08648 ... -0.287 -0.287

    minval :

    -0.832979

    maxval :

    1.0379963

    array([[ 0.05817397,  0.08648469,  0.09878519, ..., -0.20000626,
            -0.1562889 , -0.1562889 ],
           [ 0.04357151,  0.07066248,  0.08435846, ..., -0.13465407,
            -0.11736161, -0.11736161],
           [ 0.04407745,  0.08398011,  0.10856931, ..., -0.20195547,
            -0.17184721, -0.17184721],
           ...,
           [ 0.00095912,  0.05341888,  0.07950775, ..., -0.14712682,
            -0.14954562, -0.14954562],
           [-0.15500936, -0.05827162,  0.0299341 , ..., -0.0748304 ,
            -0.04884982, -0.04884982],
           [-0.2514241 , -0.16405071, -0.0719907 , ..., -0.15820843,
            -0.28698903, -0.28698903]], shape=(2000, 49), dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    0.09548 0.5069 ... -1.258 -1.258

    minval :

    -1.6221433

    maxval :

    1.0749383

    array([[ 0.09547742,  0.5069489 ,  0.6707277 , ..., -1.5847372 ,
            -1.3424375 , -1.3424375 ],
           [ 0.09337579,  0.5040211 ,  0.6674973 , ..., -1.5772936 ,
            -1.335732  , -1.335732  ],
           [ 0.09343297,  0.5053953 ,  0.6698768 , ..., -1.5805948 ,
            -1.3396885 , -1.3396885 ],
           ...,
           [ 0.02174355,  0.4059129 ,  0.5596313 , ..., -1.5041442 ,
            -1.2981913 , -1.2981913 ],
           [ 0.00545869,  0.3981368 ,  0.554352  , ..., -1.503802  ,
            -1.2931753 , -1.2931753 ],
           [ 0.02349656,  0.4056837 ,  0.5531065 , ..., -1.4796739 ,
            -1.2575213 , -1.2575213 ]], shape=(2000, 49), dtype=float32)

  • sea_surface_wave_significant_height
    (trajectory, time)
    float32
    0.007008 0.01156 ... 0.223 0.223

    minval :

    2.5408784e-05

    maxval :

    4.3613195

    array([[7.0077511e-03, 1.1559059e-02, 4.9253736e-02, ..., 5.8175808e-01,
            4.2031878e-01, 4.2031878e-01],
           [1.7361458e-04, 1.8199230e-02, 9.5058247e-02, ..., 7.4334013e-01,
            9.7352028e-01, 9.7352028e-01],
           [5.8521549e-03, 7.5899154e-02, 1.1202051e-01, ..., 6.5621048e-01,
            5.8966959e-01, 5.8966959e-01],
           ...,
           [9.1067038e-02, 6.1475668e-02, 1.6349271e-01, ..., 5.4453868e-01,
            2.8524220e-01, 2.8524220e-01],
           [1.5715918e-01, 1.5327726e-01, 7.4632727e-02, ..., 6.4194298e-01,
            2.0282736e-01, 2.0282736e-01],
           [2.2765012e-01, 1.6201009e-01, 1.8105674e-01, ..., 1.2947547e-01,
            2.2302967e-01, 2.2302967e-01]], 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
    -0.08316 0.3753 ... -1.311 -1.311

    minval :

    -13.1087

    maxval :

    9.276853

    array([[-0.08315944,  0.37528127,  0.9780793 , ...,  2.052412  ,
             0.5649477 ,  0.5649477 ],
           [-0.01400253, -0.23083884,  0.8539334 , ...,  2.4218876 ,
             3.401287  ,  3.401287  ],
           [-0.43372124, -0.15076093,  0.18753602, ...,  2.8909469 ,
             1.9122862 ,  1.9122862 ],
           ...,
           [-1.4623135 , -1.2702507 , -2.0997324 , ...,  3.47768   ,
             1.5810893 ,  1.5810893 ],
           [-2.3598728 , -2.2661624 , -1.6741874 , ...,  3.1285827 ,
             2.0846856 ,  2.0846856 ],
           [-2.9836695 , -2.5540102 , -2.5620406 , ...,  1.0284358 ,
            -1.3107638 , -1.3107638 ]], shape=(2000, 49), dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    -0.5272 0.5736 ... 2.711 2.711

    minval :

    -7.3329573

    maxval :

    12.154528

    array([[-0.52721196,  0.57362396,  1.022519  , ...,  4.408663  ,
             4.0947485 ,  4.0947485 ],
           [-0.08283377,  0.82856476,  1.7705802 , ...,  4.9347277 ,
             5.291998  ,  5.291998  ],
           [ 0.22311068,  1.7500293 ,  2.1256788 , ...,  4.2799125 ,
             4.5070467 ,  4.5070467 ],
           ...,
           [-1.2504205 , -0.9409963 , -1.4957168 , ...,  3.1688266 ,
             3.0158527 ,  3.0158527 ],
           [ 0.90530944,  1.0465616 ,  0.48056963, ...,  4.038219  ,
             1.9746141 ,  1.9746141 ],
           [-0.593116  , -0.25061682, -0.892176  , ...,  2.0507438 ,
             2.7107463 ,  2.7107463 ]], 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 90.82 89.62 ... 126.0 126.0

    minval :

    17.48163

    maxval :

    229.96423

    array([[ 91.5983  ,  90.81638 ,  89.621544, ...,  35.872242,  38.690643,
             38.690643],
           [ 94.49078 ,  93.79382 ,  92.96478 , ...,  58.24949 ,  61.645714,
             61.645714],
           [ 86.55411 ,  85.93884 ,  84.69073 , ...,  36.56639 ,  40.450855,
             40.450855],
           ...,
           [131.81073 , 134.22717 , 133.59575 , ...,  70.86665 ,  82.426125,
             82.426125],
           [ 97.5854  , 101.77875 ,  99.66325 , ...,  84.57581 ,  94.27994 ,
             94.27994 ],
           [122.13024 , 127.66776 , 127.3112  , ..., 106.41005 , 125.99411 ,
            125.99411 ]], 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(['2025-06-26 09:55:27.913616', '2025-06-26 10:55:27.913616',
                   '2025-06-26 11:55:27.913616', '2025-06-26 12:55:27.913616',
                   '2025-06-26 13:55:27.913616', '2025-06-26 14:55:27.913616',
                   '2025-06-26 15:55:27.913616', '2025-06-26 16:55:27.913616',
                   '2025-06-26 17:55:27.913616', '2025-06-26 18:55:27.913616',
                   '2025-06-26 19:55:27.913616', '2025-06-26 20:55:27.913616',
                   '2025-06-26 21:55:27.913616', '2025-06-26 22:55:27.913616',
                   '2025-06-26 23:55:27.913616', '2025-06-27 00:55:27.913616',
                   '2025-06-27 01:55:27.913616', '2025-06-27 02:55:27.913616',
                   '2025-06-27 03:55:27.913616', '2025-06-27 04:55:27.913616',
                   '2025-06-27 05:55:27.913616', '2025-06-27 06:55:27.913616',
                   '2025-06-27 07:55:27.913616', '2025-06-27 08:55:27.913616',
                   '2025-06-27 09:55:27.913616', '2025-06-27 10:55:27.913616',
                   '2025-06-27 11:55:27.913616', '2025-06-27 12:55:27.913616',
                   '2025-06-27 13:55:27.913616', '2025-06-27 14:55:27.913616',
                   '2025-06-27 15:55:27.913616', '2025-06-27 16:55:27.913616',
                   '2025-06-27 17:55:27.913616', '2025-06-27 18:55:27.913616',
                   '2025-06-27 19:55:27.913616', '2025-06-27 20:55:27.913616',
                   '2025-06-27 21:55:27.913616', '2025-06-27 22:55:27.913616',
                   '2025-06-27 23:55:27.913616', '2025-06-28 00:55:27.913616',
                   '2025-06-28 01:55:27.913616', '2025-06-28 02:55:27.913616',
                   '2025-06-28 03:55:27.913616', '2025-06-28 04:55:27.913616',
                   '2025-06-28 05:55:27.913616', '2025-06-28 06:55:27.913616',
                   '2025-06-28 07:55:27.913616', '2025-06-28 08:55:27.913616',
                   '2025-06-28 09:55:27.913616'],
                  dtype='datetime64[ns]', name='time', freq='h'))

• Attributes: (138)

  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 2025-06-26 09:55:32.136804

  date_created :

  2025-06-26T09:55:32.136820

  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 :

  2025-06-26 09:55:27.913616

  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: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 :

  1.14.2

  seed_geojson :

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

  simulation_time :

  2025-06-26 09:55:32.375880

  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 :

  2025-06-28 09:55:27.913616

  time_coverage_duration :

  P2DT0H0M0S

  time_coverage_resolution :

  P0DT1H0M0S

  performance :

  -------------------- Reader performance: -------------------- global_landmask 0:00:01.6 total 0:00:00.0 preparing 0:00:01.6 reading 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml 0:00:57.3 total 0:00:00.0 preparing 0:00:57.1 reading 0:00:00.1 interpolation 0:00:00.0 interpolation_time 0:00:00.1 rotating vectors 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc 0:00:42.4 total 0:00:00.0 preparing 0:00:42.2 reading 0:00:01.0 interpolation 0:00:00.0 interpolation_time 0:00:00.1 rotating vectors 0:00:00.0 masking -------------------- Performance: 1:54.5 total time 4.3 configuration 0.2 preparing main loop 0.0 moving elements to ocean 1:49.9 main loop 3.6 updating elements 3.5 vertical mixing 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  67.60549

  geospatial_lat_max :

  68.3627

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  12.287437

  geospatial_lon_max :

  14.165857

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:01:54.570957

  geospatial_vertical_min :

  -51.75509

  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
 0:00:01.6  total
 0:00:00.0  preparing
 0:00:01.6  reading
 0:00:00.0  masking
--------------------
https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
 0:00:57.3  total
 0:00:00.0  preparing
 0:00:57.1  reading
 0:00:00.1  interpolation
 0:00:00.0  interpolation_time
 0:00:00.1  rotating vectors
 0:00:00.0  masking
--------------------
https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc
 0:00:42.4  total
 0:00:00.0  preparing
 0:00:42.2  reading
 0:00:01.0  interpolation
 0:00:00.0  interpolation_time
 0:00:00.1  rotating vectors
 0:00:00.0  masking
--------------------
Performance:
 1:54.5 total time
    4.3 configuration
    0.2 preparing main loop
      0.0 moving elements to ocean
 1:49.9 main loop
      3.6 updating elements
        3.5 vertical mixing
    0.0 cleaning up
--------------------
===========================
Model:  PelagicEggDrift     (OpenDrift version 1.14.2)
        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: 2025-06-26 09:55:27.913616 UTC
        Present: 2025-06-28 09:55:27.913616 UTC
        Calculation steps: 48 * 1:00:00 - total time: 2 days, 0:00:00
        Output steps: 49 * 1:00:00
===========================

09:57:22 WARNING opendrift:2452: Plotting fast. This will make your plots less accurate.
09:57:30 WARNING opendrift:2452: Plotting fast. This will make your plots less accurate.
09:57:31 INFO    opendrift:4607: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_0.gif...
09:58:11 INFO    opendrift:3055: Time to make animation: 0:00:41.499249

o.animate_vertical_distribution()

09:58:13 INFO    opendrift:4607: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_1.gif...
09:58:24 INFO    opendrift.models.oceandrift:629: Time to make animation: 0:00:11.771035