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'])

09:35:58 INFO    opendrift:507: OpenDriftSimulation initialised (version 1.14.2 / v1.14.2-21-g950aeec)

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()
09:35:58 INFO    opendrift.models.basemodel.environment:206: Adding a global landmask from GSHHG
09:36:02 INFO    opendrift.models.basemodel.environment:229: Fallback values will be used for the following variables which have no readers:
09:36:02 INFO    opendrift.models.basemodel.environment:232:    x_sea_water_velocity: 0.000000
09:36:02 INFO    opendrift.models.basemodel.environment:232:    y_sea_water_velocity: 0.000000
09:36:02 INFO    opendrift.models.basemodel.environment:232:    sea_surface_height: 0.000000
09:36:02 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_significant_height: 0.000000
09:36:02 INFO    opendrift.models.basemodel.environment:232:    sea_ice_area_fraction: 0.000000
09:36:02 INFO    opendrift.models.basemodel.environment:232:    x_wind: 0.000000
09:36:02 INFO    opendrift.models.basemodel.environment:232:    y_wind: 0.000000
09:36:02 INFO    opendrift.models.basemodel.environment:232:    sea_floor_depth_below_sea_level: 100.000000
09:36:02 INFO    opendrift.models.basemodel.environment:232:    ocean_vertical_diffusivity: 0.020000
09:36:02 INFO    opendrift.models.basemodel.environment:232:    ocean_mixed_layer_thickness: 50.000000
09:36:02 INFO    opendrift.models.basemodel.environment:232:    sea_water_temperature: 10.000000
09:36:02 INFO    opendrift.models.basemodel.environment:232:    sea_water_salinity: 34.000000
09:36:02 INFO    opendrift.models.basemodel.environment:232:    surface_downward_x_stress: 0.000000
09:36:02 INFO    opendrift.models.basemodel.environment:232:    surface_downward_y_stress: 0.000000
09:36:02 INFO    opendrift.models.basemodel.environment:232:    turbulent_kinetic_energy: 0.000000
09:36:02 INFO    opendrift.models.basemodel.environment:232:    turbulent_generic_length_scale: 0.000000
09:36:02 INFO    opendrift.models.basemodel.environment:232:    upward_sea_water_velocity: 0.000000

Running model

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

09:36:02 INFO    opendrift:911: Using existing reader for land_binary_mask
09:36:03 INFO    opendrift:940: All points are in ocean
09:36:03 INFO    opendrift:2102: 2025-05-28 09:35:58.594649 - step 1 of 48 - 2000 active elements (0 deactivated)
09:36:03 INFO    opendrift.readers:61: Opening file with xr.open_dataset
09:36:05 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'x': 'x', 'y': 'y', 'time': 'time'}
09:36:05 INFO    opendrift.readers:61: Opening file with xr.open_dataset
09:36:05 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'time': 'time', 'x': 'x', 'y': 'y'}
09:36:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:08 INFO    opendrift:2102: 2025-05-28 10:35:58.594649 - step 2 of 48 - 2000 active elements (0 deactivated)
09:36:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:12 INFO    opendrift:2102: 2025-05-28 11:35:58.594649 - step 3 of 48 - 2000 active elements (0 deactivated)
09:36:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:14 INFO    opendrift:2102: 2025-05-28 12:35:58.594649 - step 4 of 48 - 2000 active elements (0 deactivated)
09:36:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:16 INFO    opendrift:2102: 2025-05-28 13:35:58.594649 - step 5 of 48 - 2000 active elements (0 deactivated)
09:36:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:18 INFO    opendrift:2102: 2025-05-28 14:35:58.594649 - step 6 of 48 - 2000 active elements (0 deactivated)
09:36:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:21 INFO    opendrift:2102: 2025-05-28 15:35:58.594649 - step 7 of 48 - 2000 active elements (0 deactivated)
09:36:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:24 INFO    opendrift:2102: 2025-05-28 16:35:58.594649 - step 8 of 48 - 2000 active elements (0 deactivated)
09:36:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:26 INFO    opendrift:2102: 2025-05-28 17:35:58.594649 - step 9 of 48 - 2000 active elements (0 deactivated)
09:36:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:28 INFO    opendrift:2102: 2025-05-28 18:35:58.594649 - step 10 of 48 - 2000 active elements (0 deactivated)
09:36:30 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:30 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:31 INFO    opendrift:2102: 2025-05-28 19:35:58.594649 - step 11 of 48 - 2000 active elements (0 deactivated)
09:36:33 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:33 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:33 INFO    opendrift:2102: 2025-05-28 20:35:58.594649 - step 12 of 48 - 2000 active elements (0 deactivated)
09:36:35 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:35 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:35 INFO    opendrift:2102: 2025-05-28 21:35:58.594649 - step 13 of 48 - 2000 active elements (0 deactivated)
09:36:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:38 INFO    opendrift:2102: 2025-05-28 22:35:58.594649 - step 14 of 48 - 2000 active elements (0 deactivated)
09:36:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:40 INFO    opendrift:2102: 2025-05-28 23:35:58.594649 - step 15 of 48 - 2000 active elements (0 deactivated)
09:36:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:42 INFO    opendrift:2102: 2025-05-29 00:35:58.594649 - step 16 of 48 - 2000 active elements (0 deactivated)
09:36:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:44 INFO    opendrift:2102: 2025-05-29 01:35:58.594649 - step 17 of 48 - 2000 active elements (0 deactivated)
09:36:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:47 INFO    opendrift:2102: 2025-05-29 02:35:58.594649 - step 18 of 48 - 2000 active elements (0 deactivated)
09:36:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:49 INFO    opendrift:2102: 2025-05-29 03:35:58.594649 - step 19 of 48 - 2000 active elements (0 deactivated)
09:36:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:51 INFO    opendrift:2102: 2025-05-29 04:35:58.594649 - step 20 of 48 - 2000 active elements (0 deactivated)
09:36:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:55 INFO    opendrift:2102: 2025-05-29 05:35:58.594649 - step 21 of 48 - 2000 active elements (0 deactivated)
09:36:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:57 INFO    opendrift:2102: 2025-05-29 06:35:58.594649 - step 22 of 48 - 2000 active elements (0 deactivated)
09:36:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:36:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:00 INFO    opendrift:2102: 2025-05-29 07:35:58.594649 - step 23 of 48 - 2000 active elements (0 deactivated)
09:37:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:02 INFO    opendrift:2102: 2025-05-29 08:35:58.594649 - step 24 of 48 - 2000 active elements (0 deactivated)
09:37:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:04 INFO    opendrift:2102: 2025-05-29 09:35:58.594649 - step 25 of 48 - 2000 active elements (0 deactivated)
09:37:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:06 INFO    opendrift:2102: 2025-05-29 10:35:58.594649 - step 26 of 48 - 2000 active elements (0 deactivated)
09:37:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:08 INFO    opendrift:2102: 2025-05-29 11:35:58.594649 - step 27 of 48 - 2000 active elements (0 deactivated)
09:37:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:11 INFO    opendrift:2102: 2025-05-29 12:35:58.594649 - step 28 of 48 - 2000 active elements (0 deactivated)
09:37:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:13 INFO    opendrift:2102: 2025-05-29 13:35:58.594649 - step 29 of 48 - 2000 active elements (0 deactivated)
09:37:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:18 INFO    opendrift:2102: 2025-05-29 14:35:58.594649 - step 30 of 48 - 2000 active elements (0 deactivated)
09:37:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:21 INFO    opendrift:2102: 2025-05-29 15:35:58.594649 - step 31 of 48 - 2000 active elements (0 deactivated)
09:37:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:25 INFO    opendrift:2102: 2025-05-29 16:35:58.594649 - step 32 of 48 - 2000 active elements (0 deactivated)
09:37:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:28 INFO    opendrift:2102: 2025-05-29 17:35:58.594649 - step 33 of 48 - 2000 active elements (0 deactivated)
09:37:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:31 INFO    opendrift:2102: 2025-05-29 18:35:58.594649 - step 34 of 48 - 2000 active elements (0 deactivated)
09:37:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:34 INFO    opendrift:2102: 2025-05-29 19:35:58.594649 - step 35 of 48 - 2000 active elements (0 deactivated)
09:37:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:37 INFO    opendrift:2102: 2025-05-29 20:35:58.594649 - step 36 of 48 - 2000 active elements (0 deactivated)
09:37:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:40 INFO    opendrift:2102: 2025-05-29 21:35:58.594649 - step 37 of 48 - 2000 active elements (0 deactivated)
09:37:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:43 INFO    opendrift:2102: 2025-05-29 22:35:58.594649 - step 38 of 48 - 2000 active elements (0 deactivated)
09:37:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:46 INFO    opendrift:2102: 2025-05-29 23:35:58.594649 - step 39 of 48 - 2000 active elements (0 deactivated)
09:37:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:49 INFO    opendrift:2102: 2025-05-30 00:35:58.594649 - step 40 of 48 - 2000 active elements (0 deactivated)
09:37:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:52 INFO    opendrift:2102: 2025-05-30 01:35:58.594649 - step 41 of 48 - 2000 active elements (0 deactivated)
09:37:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:55 INFO    opendrift:2102: 2025-05-30 02:35:58.594649 - step 42 of 48 - 2000 active elements (0 deactivated)
09:37:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:37:58 INFO    opendrift:2102: 2025-05-30 03:35:58.594649 - step 43 of 48 - 2000 active elements (0 deactivated)
09:38:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:38:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:38:01 INFO    opendrift:2102: 2025-05-30 04:35:58.594649 - step 44 of 48 - 2000 active elements (0 deactivated)
09:38:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:38:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:38:04 INFO    opendrift:2102: 2025-05-30 05:35:58.594649 - step 45 of 48 - 2000 active elements (0 deactivated)
09:38:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:38:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:38:07 INFO    opendrift:2102: 2025-05-30 06:35:58.594649 - step 46 of 48 - 2000 active elements (0 deactivated)
09:38:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:38:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:38:10 INFO    opendrift:2102: 2025-05-30 07:35:58.594649 - step 47 of 48 - 2000 active elements (0 deactivated)
09:38:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:38:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:38:12 INFO    opendrift:2102: 2025-05-30 08:35:58.594649 - step 48 of 48 - 2000 active elements (0 deactivated)
09:38:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
09:38:16 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 2025-05-2...
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:                                                          0:02:17...
    geospatial_vertical_min:                                          -52.741688
    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]
    2025-05-28T09:35:58.594649 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2025-05-28T09:35:58.594649000', '2025-05-28T10:35:58.594649000',
           '2025-05-28T11:35:58.594649000', '2025-05-28T12:35:58.594649000',
           '2025-05-28T13:35:58.594649000', '2025-05-28T14:35:58.594649000',
           '2025-05-28T15:35:58.594649000', '2025-05-28T16:35:58.594649000',
           '2025-05-28T17:35:58.594649000', '2025-05-28T18:35:58.594649000',
           '2025-05-28T19:35:58.594649000', '2025-05-28T20:35:58.594649000',
           '2025-05-28T21:35:58.594649000', '2025-05-28T22:35:58.594649000',
           '2025-05-28T23:35:58.594649000', '2025-05-29T00:35:58.594649000',
           '2025-05-29T01:35:58.594649000', '2025-05-29T02:35:58.594649000',
           '2025-05-29T03:35:58.594649000', '2025-05-29T04:35:58.594649000',
           '2025-05-29T05:35:58.594649000', '2025-05-29T06:35:58.594649000',
           '2025-05-29T07:35:58.594649000', '2025-05-29T08:35:58.594649000',
           '2025-05-29T09:35:58.594649000', '2025-05-29T10:35:58.594649000',
           '2025-05-29T11:35:58.594649000', '2025-05-29T12:35:58.594649000',
           '2025-05-29T13:35:58.594649000', '2025-05-29T14:35:58.594649000',
           '2025-05-29T15:35:58.594649000', '2025-05-29T16:35:58.594649000',
           '2025-05-29T17:35:58.594649000', '2025-05-29T18:35:58.594649000',
           '2025-05-29T19:35:58.594649000', '2025-05-29T20:35:58.594649000',
           '2025-05-29T21:35:58.594649000', '2025-05-29T22:35:58.594649000',
           '2025-05-29T23:35:58.594649000', '2025-05-30T00:35:58.594649000',
           '2025-05-30T01:35:58.594649000', '2025-05-30T02:35:58.594649000',
           '2025-05-30T03:35:58.594649000', '2025-05-30T04:35:58.594649000',
           '2025-05-30T05:35:58.594649000', '2025-05-30T06:35:58.594649000',
           '2025-05-30T07:35:58.594649000', '2025-05-30T08:35:58.594649000',
           '2025-05-30T09:35:58.594649000'], dtype='datetime64[ns]')

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

    dtype :

    <class 'numpy.int32'>

    valid_range :

    [0 0]

    flag_values :

    [0]

    flag_meanings :

    active

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

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

    dtype :

    <class 'numpy.int32'>

    minval :

    1

    maxval :

    1

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

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

    dtype :

    <class 'numpy.float32'>

    units :

    s

    minval :

    0.0

    maxval :

    172800.0

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

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

    dtype :

    <class 'numpy.int32'>

    unit :

    description :

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

    flag_values :

    [0 1 2 3]

    flag_meanings :

    Seed_0 Seed_1 Seed_2 Seed_3

    minval :

    0

    maxval :

    3

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

  • lon
    (trajectory, time)
    float32
    14.08 14.09 14.09 ... 13.33 13.35

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    12.35679

    maxval :

    14.677266

    array([[14.084752 , 14.088528 , 14.092272 , ..., 14.601929 , 14.617675 ,
            14.634138 ],
           [14.019218 , 14.024044 , 14.027898 , ..., 14.520606 , 14.536827 ,
            14.553901 ],
           [14.047049 , 14.0515585, 14.055864 , ..., 14.568387 , 14.583263 ,
            14.599226 ],
           ...,
           [13.055853 , 13.08915  , 13.101253 , ..., 13.389449 , 13.404758 ,
            13.420589 ],
           [13.005157 , 13.03807  , 13.046729 , ..., 13.189172 , 13.206407 ,
            13.222987 ],
           [13.002091 , 13.033277 , 13.044108 , ..., 13.315591 , 13.328036 ,
            13.345056 ]], shape=(2000, 49), dtype=float32)

  • lat
    (trajectory, time)
    float32
    68.11 68.11 68.11 ... 67.76 67.77

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    67.62786

    maxval :

    68.39658

    array([[68.10684 , 68.10917 , 68.111435, ..., 68.12196 , 68.12139 ,
            68.1216  ],
           [68.09939 , 68.10148 , 68.103195, ..., 68.11595 , 68.11527 ,
            68.115364],
           [68.11965 , 68.121826, 68.12395 , ..., 68.136345, 68.13625 ,
            68.13692 ],
           ...,
           [67.79944 , 67.7881  , 67.7801  , ..., 67.860176, 67.85966 ,
            67.85972 ],
           [67.82828 , 67.8133  , 67.80108 , ..., 67.94212 , 67.94465 ,
            67.947075],
           [67.78542 , 67.77085 , 67.75927 , ..., 67.76256 , 67.76423 ,
            67.76548 ]], shape=(2000, 49), dtype=float32)

  • z
    (trajectory, time)
    float32
    -40.0 -49.07 ... -22.74 -25.85

    dtype :

    <class 'numpy.float32'>

    units :

    m

    standard_name :

    z

    long_name :

    vertical position

    axis :

    Z

    positive :

    up

    minval :

    -52.741688

    maxval :

    0.0

    array([[-40.        , -49.0689    , -44.927814  , ...,  -4.2682295 ,
             -1.7125734 ,  -0.67202073],
           [-40.        , -42.715874  , -41.072884  , ..., -11.287089  ,
            -10.748333  , -37.580963  ],
           [-40.        , -27.623362  , -13.536301  , ..., -16.18292   ,
             -7.9205017 , -15.079799  ],
           ...,
           [-40.        , -36.987957  , -33.796455  , ..., -37.46802   ,
            -37.127293  , -38.3933    ],
           [-40.        , -30.560343  , -18.588348  , ..., -18.375515  ,
             -1.0618018 ,  -6.8614902 ],
           [-40.        , -39.717876  , -27.89623   , ..., -22.52867   ,
            -22.737091  , -25.850077  ]], 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
    0.04365 0.04329 ... 0.1997 0.1997

    minval :

    -0.85508245

    maxval :

    0.9292877

    array([[ 0.04365136,  0.04328655,  0.03962126, ...,  0.18196528,
             0.19024941,  0.19024941],
           [ 0.05581765,  0.04456419,  0.0304625 , ...,  0.1875045 ,
             0.19735558,  0.19735558],
           [ 0.05211694,  0.04975029,  0.04382624, ...,  0.17179489,
             0.18434548,  0.18434548],
           ...,
           [ 0.39035013,  0.14192441, -0.046609  , ...,  0.17892238,
             0.18502295,  0.18502295],
           [ 0.3854199 ,  0.10146013, -0.13175172, ...,  0.20069483,
             0.19306439,  0.19306439],
           [ 0.36585888,  0.12714098, -0.08082846, ...,  0.14605813,
             0.19970898,  0.19970898]], shape=(2000, 49), dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    0.07221 0.06999 ... 0.03886 0.03886

    minval :

    -0.73530453

    maxval :

    0.8817512

    array([[ 0.07220908,  0.06999334,  0.05315355, ..., -0.01780875,
             0.00637965,  0.00637965],
           [ 0.06487191,  0.05303267,  0.03325861, ..., -0.0209847 ,
             0.00293298,  0.00293298],
           [ 0.06737532,  0.06564958,  0.05387222, ..., -0.00291651,
             0.02060786,  0.02060786],
           ...,
           [-0.35123184, -0.24787024, -0.16176361, ..., -0.01601067,
             0.00181163,  0.00181163],
           [-0.4638922 , -0.37861848, -0.25449526, ...,  0.07837393,
             0.07512693,  0.07512693],
           [-0.45138094, -0.35866863, -0.25285053, ...,  0.05185548,
             0.03885956,  0.03885956]], shape=(2000, 49), dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    0.1196 0.6509 ... -1.427 -1.427

    minval :

    -1.6167371

    maxval :

    1.1771433

    array([[ 0.11963151,  0.6508522 ,  0.9419396 , ..., -1.6125033 ,
            -1.5045269 , -1.5045269 ],
           [ 0.11788081,  0.64866674,  0.9395118 , ..., -1.6080645 ,
            -1.501195  , -1.501195  ],
           [ 0.11737078,  0.64917207,  0.9410921 , ..., -1.6126201 ,
            -1.5057911 , -1.5057911 ],
           ...,
           [ 0.03914373,  0.54720974,  0.82492477, ..., -1.5362067 ,
            -1.4382925 , -1.4382925 ],
           [ 0.01790628,  0.5341166 ,  0.8168647 , ..., -1.5434922 ,
            -1.4584014 , -1.4584014 ],
           [ 0.04397959,  0.54761183,  0.82104933, ..., -1.5321555 ,
            -1.4274014 , -1.4274014 ]], shape=(2000, 49), dtype=float32)

  • sea_surface_wave_significant_height
    (trajectory, time)
    float32
    0.3212 0.1703 ... 1.146 1.146

    minval :

    0.00015443313

    maxval :

    6.2752576

    array([[0.32123664, 0.17034188, 0.4435123 , ..., 1.9591782 , 1.546771  ,
            1.546771  ],
           [0.18394172, 0.0846062 , 0.08610202, ..., 2.1881266 , 1.9743997 ,
            1.9743997 ],
           [0.9264877 , 0.30527198, 0.5692724 , ..., 3.2074084 , 2.4814627 ,
            2.4814627 ],
           ...,
           [0.06893262, 0.20982479, 0.56880003, ..., 1.3197981 , 1.2399238 ,
            1.2399238 ],
           [0.17788145, 0.02680442, 0.13451168, ..., 1.8937498 , 1.600764  ,
            1.600764  ],
           [0.14319618, 0.01646642, 0.17304474, ..., 1.4420909 , 1.1459259 ,
            1.1459259 ]], 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
    -3.572 -0.6121 ... 6.679 6.679

    minval :

    -6.5892816

    maxval :

    11.482926

    array([[-3.5722554 , -0.61206585,  1.2260271 , ...,  4.1409097 ,
             4.002206  ,  4.002206  ],
           [-2.46741   , -1.6601954 , -0.5986223 , ...,  5.5539904 ,
             5.218466  ,  5.218466  ],
           [-6.1342173 , -2.8010354 ,  1.9179374 , ...,  4.754223  ,
             4.9625196 ,  4.9625196 ],
           ...,
           [-1.5309744 ,  1.5088025 ,  3.2840176 , ...,  3.1235497 ,
             3.445871  ,  3.445871  ],
           [-1.8609712 , -1.0355862 , -0.3723167 , ...,  4.6354856 ,
             4.705475  ,  4.705475  ],
           [-1.5772398 , -0.78453594,  2.4638512 , ...,  7.619152  ,
             6.6794424 ,  6.6794424 ]], shape=(2000, 49), dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    0.5453 2.559 4.065 ... 1.403 1.403

    minval :

    -3.4206433

    maxval :

    15.432957

    array([[ 0.5453353 ,  2.559266  ,  4.0651956 , ...,  7.905332  ,
             6.84538   ,  6.84538   ],
           [ 1.1786408 ,  0.8264549 ,  1.7724936 , ...,  7.6224284 ,
             7.2820163 ,  7.2820163 ],
           [ 0.18299337,  2.136266  ,  4.4116516 , ..., 10.381707  ,
             8.731888  ,  8.731888  ],
           ...,
           [-0.6769462 ,  2.5005953 ,  3.512433  , ...,  6.6252375 ,
             6.207204  ,  6.207204  ],
           [-1.9410667 ,  0.13104033,  2.3085353 , ...,  7.4494276 ,
             6.5521154 ,  6.5521154 ],
           [-1.8257322 ,  0.23209909,  0.98172116, ...,  0.7550484 ,
             1.4026403 ,  1.4026403 ]], 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 90.51 89.44 ... 213.9 213.9

    minval :

    31.503674

    maxval :

    303.95065

    array([[ 91.5983  ,  90.510994,  89.43606 , ..., 276.13654 , 284.33597 ,
            284.33597 ],
           [ 94.49078 ,  94.58918 ,  94.402626, ..., 249.07724 , 261.3807  ,
            261.3807  ],
           [ 86.55411 ,  85.43262 ,  84.3674  , ..., 219.72458 , 227.04198 ,
            227.04198 ],
           ...,
           [131.81073 , 146.07272 , 153.1223  , ..., 167.45624 , 169.81723 ,
            169.81723 ],
           [ 97.5854  , 118.01806 , 127.8624  , ...,  84.32633 ,  86.99562 ,
             86.99562 ],
           [122.13024 , 140.00961 , 149.66699 , ..., 211.84695 , 213.9477  ,
            213.9477  ]], 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(['2025-05-28 09:35:58.594649', '2025-05-28 10:35:58.594649',
                   '2025-05-28 11:35:58.594649', '2025-05-28 12:35:58.594649',
                   '2025-05-28 13:35:58.594649', '2025-05-28 14:35:58.594649',
                   '2025-05-28 15:35:58.594649', '2025-05-28 16:35:58.594649',
                   '2025-05-28 17:35:58.594649', '2025-05-28 18:35:58.594649',
                   '2025-05-28 19:35:58.594649', '2025-05-28 20:35:58.594649',
                   '2025-05-28 21:35:58.594649', '2025-05-28 22:35:58.594649',
                   '2025-05-28 23:35:58.594649', '2025-05-29 00:35:58.594649',
                   '2025-05-29 01:35:58.594649', '2025-05-29 02:35:58.594649',
                   '2025-05-29 03:35:58.594649', '2025-05-29 04:35:58.594649',
                   '2025-05-29 05:35:58.594649', '2025-05-29 06:35:58.594649',
                   '2025-05-29 07:35:58.594649', '2025-05-29 08:35:58.594649',
                   '2025-05-29 09:35:58.594649', '2025-05-29 10:35:58.594649',
                   '2025-05-29 11:35:58.594649', '2025-05-29 12:35:58.594649',
                   '2025-05-29 13:35:58.594649', '2025-05-29 14:35:58.594649',
                   '2025-05-29 15:35:58.594649', '2025-05-29 16:35:58.594649',
                   '2025-05-29 17:35:58.594649', '2025-05-29 18:35:58.594649',
                   '2025-05-29 19:35:58.594649', '2025-05-29 20:35:58.594649',
                   '2025-05-29 21:35:58.594649', '2025-05-29 22:35:58.594649',
                   '2025-05-29 23:35:58.594649', '2025-05-30 00:35:58.594649',
                   '2025-05-30 01:35:58.594649', '2025-05-30 02:35:58.594649',
                   '2025-05-30 03:35:58.594649', '2025-05-30 04:35:58.594649',
                   '2025-05-30 05:35:58.594649', '2025-05-30 06:35:58.594649',
                   '2025-05-30 07:35:58.594649', '2025-05-30 08:35:58.594649',
                   '2025-05-30 09:35:58.594649'],
                  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 2025-05-28 09:36:02.847464

  date_created :

  2025-05-28T09:36:02.847478

  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 :

  2025-05-28 09:35:58.594649

  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 :

  2025-05-28 09:36:03.000161

  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 :

  2025-05-30 09:35:58.594649

  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 0:00:57.7 total 0:00:00.0 preparing 0:00:57.6 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 0:01:05.6 total 0:00:00.0 preparing 0:01:05.4 reading 0:00:00.8 interpolation 0:00:00.0 interpolation_time 0:00:00.1 rotating vectors 0:00:00.0 masking -------------------- Performance: 2:17.5 total time 4.2 configuration 0.1 preparing main loop 0.0 moving elements to ocean 2:13.1 main loop 3.2 updating elements 3.1 vertical mixing 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  67.62786

  geospatial_lat_max :

  68.39658

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  12.35679

  geospatial_lon_max :

  14.677266

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:02:17.592146

  geospatial_vertical_min :

  -52.741688

  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
 0:00:57.7  total
 0:00:00.0  preparing
 0:00:57.6  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
 0:01:05.6  total
 0:00:00.0  preparing
 0:01:05.4  reading
 0:00:00.8  interpolation
 0:00:00.0  interpolation_time
 0:00:00.1  rotating vectors
 0:00:00.0  masking
--------------------
Performance:
 2:17.5 total time
    4.2 configuration
    0.1 preparing main loop
      0.0 moving elements to ocean
 2:13.1 main loop
      3.2 updating elements
        3.1 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: 2025-05-28 09:35:58.594649 UTC
        Present: 2025-05-30 09:35:58.594649 UTC
        Calculation steps: 48 * 1:00:00 - total time: 2 days, 0:00:00
        Output steps: 49 * 1:00:00
===========================

09:38:16 WARNING opendrift:2459: Plotting fast. This will make your plots less accurate.
09:38:26 WARNING opendrift:2459: Plotting fast. This will make your plots less accurate.
09:38:28 INFO    opendrift:4609: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_0.gif...
09:39:19 INFO    opendrift:3062: Time to make animation: 0:00:52.594447

o.animate_vertical_distribution()

09:39:21 INFO    opendrift:4609: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_1.gif...
09:39:32 INFO    opendrift.models.oceandrift:629: Time to make animation: 0:00:11.513586