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'])

15:26:06 INFO    opendrift:509: OpenDriftSimulation initialised (version 1.14.0 / v1.14.0-6-gaedbab0)

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()
15:26:06 INFO    opendrift.models.basemodel.environment:206: Adding a global landmask from GSHHG
15:26:10 INFO    opendrift.models.basemodel.environment:229: Fallback values will be used for the following variables which have no readers:
15:26:10 INFO    opendrift.models.basemodel.environment:232:    x_sea_water_velocity: 0.000000
15:26:10 INFO    opendrift.models.basemodel.environment:232:    y_sea_water_velocity: 0.000000
15:26:10 INFO    opendrift.models.basemodel.environment:232:    sea_surface_height: 0.000000
15:26:10 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_significant_height: 0.000000
15:26:10 INFO    opendrift.models.basemodel.environment:232:    sea_ice_area_fraction: 0.000000
15:26:10 INFO    opendrift.models.basemodel.environment:232:    x_wind: 0.000000
15:26:10 INFO    opendrift.models.basemodel.environment:232:    y_wind: 0.000000
15:26:10 INFO    opendrift.models.basemodel.environment:232:    sea_floor_depth_below_sea_level: 100.000000
15:26:10 INFO    opendrift.models.basemodel.environment:232:    ocean_vertical_diffusivity: 0.020000
15:26:10 INFO    opendrift.models.basemodel.environment:232:    ocean_mixed_layer_thickness: 50.000000
15:26:10 INFO    opendrift.models.basemodel.environment:232:    sea_water_temperature: 10.000000
15:26:10 INFO    opendrift.models.basemodel.environment:232:    sea_water_salinity: 34.000000
15:26:10 INFO    opendrift.models.basemodel.environment:232:    surface_downward_x_stress: 0.000000
15:26:10 INFO    opendrift.models.basemodel.environment:232:    surface_downward_y_stress: 0.000000
15:26:10 INFO    opendrift.models.basemodel.environment:232:    turbulent_kinetic_energy: 0.000000
15:26:10 INFO    opendrift.models.basemodel.environment:232:    turbulent_generic_length_scale: 0.000000
15:26:10 INFO    opendrift.models.basemodel.environment:232:    upward_sea_water_velocity: 0.000000

Running model

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

15:26:10 INFO    opendrift:907: Using existing reader for land_binary_mask
15:26:10 INFO    opendrift:936: All points are in ocean
15:26:10 INFO    opendrift:2102: 2025-05-16 15:26:06.168779 - step 1 of 48 - 2000 active elements (0 deactivated)
15:26:10 INFO    opendrift.readers:61: Opening file with xr.open_dataset
15:26:15 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'x': 'x', 'y': 'y', 'time': 'time'}
15:26:15 INFO    opendrift.readers:61: Opening file with xr.open_dataset
15:26:16 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'time': 'time', 'x': 'x', 'y': 'y'}
15:26:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:26:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:26:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:26:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:26:20 INFO    opendrift:2102: 2025-05-16 16:26:06.168779 - step 2 of 48 - 2000 active elements (0 deactivated)
15:26:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:26:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:26:24 INFO    opendrift:2102: 2025-05-16 17:26:06.168779 - step 3 of 48 - 2000 active elements (0 deactivated)
15:26:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:26:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:26:27 INFO    opendrift:2102: 2025-05-16 18:26:06.168779 - step 4 of 48 - 2000 active elements (0 deactivated)
15:26:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:26:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:26:29 INFO    opendrift:2102: 2025-05-16 19:26:06.168779 - step 5 of 48 - 2000 active elements (0 deactivated)
15:26:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:26:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:26:32 INFO    opendrift:2102: 2025-05-16 20:26:06.168779 - step 6 of 48 - 2000 active elements (0 deactivated)
15:26:35 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:26:35 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:26:35 INFO    opendrift:2102: 2025-05-16 21:26:06.168779 - step 7 of 48 - 2000 active elements (0 deactivated)
15:26:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:26:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:26:38 INFO    opendrift:2102: 2025-05-16 22:26:06.168779 - step 8 of 48 - 2000 active elements (0 deactivated)
15:26:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:26:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:26:40 INFO    opendrift:2102: 2025-05-16 23:26:06.168779 - step 9 of 48 - 2000 active elements (0 deactivated)
15:26:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:26:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:26:43 INFO    opendrift:2102: 2025-05-17 00:26:06.168779 - step 10 of 48 - 2000 active elements (0 deactivated)
15:26:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:26:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:26:46 INFO    opendrift:2102: 2025-05-17 01:26:06.168779 - step 11 of 48 - 2000 active elements (0 deactivated)
15:26:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:26:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:26:49 INFO    opendrift:2102: 2025-05-17 02:26:06.168779 - step 12 of 48 - 2000 active elements (0 deactivated)
15:26:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:26:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:26:51 INFO    opendrift:2102: 2025-05-17 03:26:06.168779 - step 13 of 48 - 2000 active elements (0 deactivated)
15:26:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:26:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:26:54 INFO    opendrift:2102: 2025-05-17 04:26:06.168779 - step 14 of 48 - 2000 active elements (0 deactivated)
15:26:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:26:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:26:57 INFO    opendrift:2102: 2025-05-17 05:26:06.168779 - step 15 of 48 - 2000 active elements (0 deactivated)
15:27:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:00 INFO    opendrift:2102: 2025-05-17 06:26:06.168779 - step 16 of 48 - 2000 active elements (0 deactivated)
15:27:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:03 INFO    opendrift:2102: 2025-05-17 07:26:06.168779 - step 17 of 48 - 2000 active elements (0 deactivated)
15:27:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:06 INFO    opendrift:2102: 2025-05-17 08:26:06.168779 - step 18 of 48 - 2000 active elements (0 deactivated)
15:27:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:09 INFO    opendrift:2102: 2025-05-17 09:26:06.168779 - step 19 of 48 - 2000 active elements (0 deactivated)
15:27:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:11 INFO    opendrift:2102: 2025-05-17 10:26:06.168779 - step 20 of 48 - 2000 active elements (0 deactivated)
15:27:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:14 INFO    opendrift:2102: 2025-05-17 11:26:06.168779 - step 21 of 48 - 2000 active elements (0 deactivated)
15:27:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:17 INFO    opendrift:2102: 2025-05-17 12:26:06.168779 - step 22 of 48 - 2000 active elements (0 deactivated)
15:27:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:19 INFO    opendrift:2102: 2025-05-17 13:26:06.168779 - step 23 of 48 - 2000 active elements (0 deactivated)
15:27:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:22 INFO    opendrift:2102: 2025-05-17 14:26:06.168779 - step 24 of 48 - 2000 active elements (0 deactivated)
15:27:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:25 INFO    opendrift:2102: 2025-05-17 15:26:06.168779 - step 25 of 48 - 2000 active elements (0 deactivated)
15:27:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:28 INFO    opendrift:2102: 2025-05-17 16:26:06.168779 - step 26 of 48 - 2000 active elements (0 deactivated)
15:27:30 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:30 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:31 INFO    opendrift:2102: 2025-05-17 17:26:06.168779 - step 27 of 48 - 2000 active elements (0 deactivated)
15:27:33 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:33 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:33 INFO    opendrift:2102: 2025-05-17 18:26:06.168779 - step 28 of 48 - 2000 active elements (0 deactivated)
15:27:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:36 INFO    opendrift:2102: 2025-05-17 19:26:06.168779 - step 29 of 48 - 2000 active elements (0 deactivated)
15:27:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:39 INFO    opendrift:2102: 2025-05-17 20:26:06.168779 - step 30 of 48 - 2000 active elements (0 deactivated)
15:27:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:42 INFO    opendrift:2102: 2025-05-17 21:26:06.168779 - step 31 of 48 - 2000 active elements (0 deactivated)
15:27:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:44 INFO    opendrift:2102: 2025-05-17 22:26:06.168779 - step 32 of 48 - 2000 active elements (0 deactivated)
15:27:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:47 INFO    opendrift:2102: 2025-05-17 23:26:06.168779 - step 33 of 48 - 2000 active elements (0 deactivated)
15:27:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:50 INFO    opendrift:2102: 2025-05-18 00:26:06.168779 - step 34 of 48 - 2000 active elements (0 deactivated)
15:27:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:53 INFO    opendrift:2102: 2025-05-18 01:26:06.168779 - step 35 of 48 - 2000 active elements (0 deactivated)
15:27:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:56 INFO    opendrift:2102: 2025-05-18 02:26:06.168779 - step 36 of 48 - 2000 active elements (0 deactivated)
15:27:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:27:58 INFO    opendrift:2102: 2025-05-18 03:26:06.168779 - step 37 of 48 - 2000 active elements (0 deactivated)
15:28:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:28:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:28:01 INFO    opendrift:2102: 2025-05-18 04:26:06.168779 - step 38 of 48 - 2000 active elements (0 deactivated)
15:28:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:28:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:28:04 INFO    opendrift:2102: 2025-05-18 05:26:06.168779 - step 39 of 48 - 2000 active elements (0 deactivated)
15:28:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:28:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:28:06 INFO    opendrift:2102: 2025-05-18 06:26:06.168779 - step 40 of 48 - 2000 active elements (0 deactivated)
15:28:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:28:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:28:09 INFO    opendrift:2102: 2025-05-18 07:26:06.168779 - step 41 of 48 - 2000 active elements (0 deactivated)
15:28:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:28:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:28:12 INFO    opendrift:2102: 2025-05-18 08:26:06.168779 - step 42 of 48 - 2000 active elements (0 deactivated)
15:28:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:28:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:28:15 INFO    opendrift:2102: 2025-05-18 09:26:06.168779 - step 43 of 48 - 2000 active elements (0 deactivated)
15:28:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:28:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:28:17 INFO    opendrift:2102: 2025-05-18 10:26:06.168779 - step 44 of 48 - 2000 active elements (0 deactivated)
15:28:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:28:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:28:20 INFO    opendrift:2102: 2025-05-18 11:26:06.168779 - step 45 of 48 - 2000 active elements (0 deactivated)
15:28:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:28:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:28:23 INFO    opendrift:2102: 2025-05-18 12:26:06.168779 - step 46 of 48 - 2000 active elements (0 deactivated)
15:28:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:28:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:28:26 INFO    opendrift:2102: 2025-05-18 13:26:06.168779 - step 47 of 48 - 2000 active elements (0 deactivated)
15:28:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:28:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:28:29 INFO    opendrift:2102: 2025-05-18 14:26:06.168779 - step 48 of 48 - 2000 active elements (0 deactivated)
15:28:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:28:32 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 2025-05-1...
Data variables: (12/32)
    status                               (trajectory, time) float32 392kB 0.0...
    moving                               (trajectory, time) float32 392kB 1.0...
    age_seconds                          (trajectory, time) float32 392kB 0.0...
    origin_marker                        (trajectory, time) float32 392kB 0.0...
    lon                                  (trajectory, time) float32 392kB 14....
    lat                                  (trajectory, time) float32 392kB 68....
    ...                                   ...
    sea_water_salinity                   (trajectory, time) float32 392kB 34....
    surface_downward_x_stress            (trajectory, time) float32 392kB 0.0...
    surface_downward_y_stress            (trajectory, time) float32 392kB 0.0...
    turbulent_kinetic_energy             (trajectory, time) float32 392kB 0.0...
    turbulent_generic_length_scale       (trajectory, time) float32 392kB 0.0...
    upward_sea_water_velocity            (trajectory, time) float32 392kB 0.0...
Attributes: (12/138)
    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:                                                          0:02:26...
    geospatial_vertical_min:                                          -51.33782
    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]
    2025-05-16T15:26:06.168779 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2025-05-16T15:26:06.168779000', '2025-05-16T16:26:06.168779000',
           '2025-05-16T17:26:06.168779000', '2025-05-16T18:26:06.168779000',
           '2025-05-16T19:26:06.168779000', '2025-05-16T20:26:06.168779000',
           '2025-05-16T21:26:06.168779000', '2025-05-16T22:26:06.168779000',
           '2025-05-16T23:26:06.168779000', '2025-05-17T00:26:06.168779000',
           '2025-05-17T01:26:06.168779000', '2025-05-17T02:26:06.168779000',
           '2025-05-17T03:26:06.168779000', '2025-05-17T04:26:06.168779000',
           '2025-05-17T05:26:06.168779000', '2025-05-17T06:26:06.168779000',
           '2025-05-17T07:26:06.168779000', '2025-05-17T08:26:06.168779000',
           '2025-05-17T09:26:06.168779000', '2025-05-17T10:26:06.168779000',
           '2025-05-17T11:26:06.168779000', '2025-05-17T12:26:06.168779000',
           '2025-05-17T13:26:06.168779000', '2025-05-17T14:26:06.168779000',
           '2025-05-17T15:26:06.168779000', '2025-05-17T16:26:06.168779000',
           '2025-05-17T17:26:06.168779000', '2025-05-17T18:26:06.168779000',
           '2025-05-17T19:26:06.168779000', '2025-05-17T20:26:06.168779000',
           '2025-05-17T21:26:06.168779000', '2025-05-17T22:26:06.168779000',
           '2025-05-17T23:26:06.168779000', '2025-05-18T00:26:06.168779000',
           '2025-05-18T01:26:06.168779000', '2025-05-18T02:26:06.168779000',
           '2025-05-18T03:26:06.168779000', '2025-05-18T04:26:06.168779000',
           '2025-05-18T05:26:06.168779000', '2025-05-18T06:26:06.168779000',
           '2025-05-18T07:26:06.168779000', '2025-05-18T08:26:06.168779000',
           '2025-05-18T09:26:06.168779000', '2025-05-18T10:26:06.168779000',
           '2025-05-18T11:26:06.168779000', '2025-05-18T12:26:06.168779000',
           '2025-05-18T13:26:06.168779000', '2025-05-18T14:26:06.168779000',
           '2025-05-18T15:26:06.168779000'], 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 ... 13.14 13.12

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    12.354942

    maxval :

    14.163694

    array([[14.084752 , 14.084003 , 14.084981 , ..., 14.082927 , 14.082986 ,
            14.083093 ],
           [14.019218 , 14.017477 , 14.017518 , ..., 14.000547 , 14.001075 ,
            14.000923 ],
           [14.047049 , 14.045303 , 14.045677 , ..., 14.059903 , 14.060924 ,
            14.061716 ],
           ...,
           [13.055853 , 13.039188 , 13.027702 , ..., 13.026223 , 13.0041065,
            12.974249 ],
           [13.005157 , 12.978982 , 12.960728 , ..., 13.073349 , 13.0802355,
            13.074956 ],
           [13.002091 , 12.977873 , 12.957347 , ..., 13.145802 , 13.135115 ,
            13.115804 ]], shape=(2000, 49), dtype=float32)

  • lat
    (trajectory, time)
    float32
    68.11 68.11 68.11 ... 67.85 67.85

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    67.70402

    maxval :

    68.28296

    array([[68.10684 , 68.10757 , 68.10718 , ..., 68.093445, 68.093834,
            68.09493 ],
           [68.09939 , 68.10001 , 68.09967 , ..., 68.09056 , 68.09048 ,
            68.09095 ],
           [68.11965 , 68.12067 , 68.12079 , ..., 68.10627 , 68.10639 ,
            68.10718 ],
           ...,
           [67.79944 , 67.80218 , 67.80575 , ..., 67.86987 , 67.86462 ,
            67.85954 ],
           [67.82828 , 67.83267 , 67.83931 , ..., 67.80516 , 67.79707 ,
            67.79191 ],
           [67.78542 , 67.78686 , 67.790474, ..., 67.85339 , 67.85129 ,
            67.85154 ]], shape=(2000, 49), dtype=float32)

  • z
    (trajectory, time)
    float32
    -40.0 -49.47 ... -17.35 -21.46

    dtype :

    <class 'numpy.float32'>

    units :

    m

    standard_name :

    z

    long_name :

    vertical position

    axis :

    Z

    positive :

    up

    minval :

    -51.33782

    maxval :

    0.0

    array([[-40.        , -49.473988  , -45.122334  , ...,  -3.0035243 ,
             -1.4701558 ,  -0.92241675],
           [-40.        , -43.32836   , -42.185425  , ..., -10.442919  ,
            -10.1465025 , -36.28912   ],
           [-40.        , -28.768082  , -14.22771   , ..., -13.052081  ,
             -4.9126205 , -15.428136  ],
           ...,
           [-40.        , -37.429523  , -34.446724  , ..., -21.711481  ,
            -22.480314  , -25.127169  ],
           [-40.        , -29.849052  , -16.148872  , ...,  -6.228355  ,
             -2.1293042 ,  -4.7478666 ],
           [-40.        , -40.20505   , -25.864712  , ..., -16.842737  ,
            -17.353188  , -21.459969  ]], 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
    -0.008661 0.01131 ... -0.2258

    minval :

    -0.6978929

    maxval :

    0.68644434

    array([[-0.00866087,  0.01130613,  0.0206774 , ...,  0.00068781,
             0.00123474,  0.00123474],
           [-0.02014454,  0.00047549,  0.01249913, ...,  0.00610854,
            -0.00175988, -0.00175988],
           [-0.02016587,  0.00432241,  0.02053058, ...,  0.01179778,
             0.00916294,  0.00916294],
           ...,
           [-0.19524005, -0.13455567, -0.0330005 , ..., -0.2584315 ,
            -0.3489608 , -0.3489608 ],
           [-0.30628338, -0.21353142, -0.07724357, ...,  0.08069763,
            -0.06188828, -0.06188828],
           [-0.28393906, -0.24059983, -0.13575609, ..., -0.12493614,
            -0.22577949, -0.22577949]], shape=(2000, 49), dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    0.02241 -0.01202 ... 0.007806

    minval :

    -0.5145649

    maxval :

    0.6154351

    array([[ 0.02241322, -0.01201718, -0.04836985, ...,  0.01209085,
             0.03404175,  0.03404175],
           [ 0.01928651, -0.01061727, -0.04253618, ..., -0.00250721,
             0.01462852,  0.01462852],
           [ 0.03134662,  0.00384561, -0.02813239, ...,  0.00374332,
             0.02421612,  0.02421612],
           ...,
           [ 0.08494267,  0.11057584,  0.10550346, ..., -0.16280001,
            -0.15722089, -0.15722089],
           [ 0.13610351,  0.20586613,  0.20119825, ..., -0.25048614,
            -0.1600354 , -0.1600354 ],
           [ 0.04457424,  0.11208569,  0.14467366, ..., -0.06526293,
             0.00780562,  0.00780562]], shape=(2000, 49), dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    -0.1421 -0.5271 ... -0.08412

    minval :

    -1.4035492

    maxval :

    0.4405161

    array([[-0.14209214, -0.527145  , -0.9113681 , ..., -0.16781761,
            -0.02167956, -0.02167956],
           [-0.1435339 , -0.52785677, -0.9112912 , ..., -0.17010766,
            -0.02342717, -0.02342717],
           [-0.14107023, -0.5257716 , -0.9097867 , ..., -0.16797972,
            -0.0214549 , -0.0214549 ],
           ...,
           [-0.19538741, -0.54932725, -0.9054941 , ..., -0.24611796,
            -0.09223684, -0.09223684],
           [-0.19267574, -0.54416853, -0.897652  , ..., -0.24268293,
            -0.09475829, -0.09475829],
           [-0.20020148, -0.55158305, -0.903805  , ..., -0.23410904,
            -0.08411743, -0.08411743]], shape=(2000, 49), dtype=float32)

  • sea_surface_wave_significant_height
    (trajectory, time)
    float32
    0.5022 0.534 0.5159 ... 1.675 1.675

    minval :

    3.8483363e-06

    maxval :

    3.288752

    array([[0.5021877 , 0.5340337 , 0.51588845, ..., 2.060578  , 2.2852378 ,
            2.2852378 ],
           [0.3564707 , 0.4004083 , 0.45805886, ..., 1.7519886 , 1.8533286 ,
            1.8533286 ],
           [0.4383159 , 0.41821158, 0.4541587 , ..., 2.9285748 , 2.9613025 ,
            2.9613025 ],
           ...,
           [0.5776876 , 0.5033515 , 0.43945494, ..., 2.532163  , 2.2953057 ,
            2.2953057 ],
           [0.507443  , 0.48614118, 0.3563378 , ..., 0.51145035, 0.50817305,
            0.50817305],
           [0.8518268 , 0.72723997, 0.6759436 , ..., 1.7261847 , 1.6753967 ,
            1.6753967 ]], 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
    2.622 2.81 2.639 ... 6.978 6.978

    minval :

    -4.4906898

    maxval :

    10.631959

    array([[2.6216152, 2.8096564, 2.6393807, ..., 6.4804482, 6.8491144,
            6.8491144],
           [2.3872004, 2.1741648, 1.8744961, ..., 5.86689  , 6.0369806,
            6.0369806],
           [1.944611 , 2.2066495, 2.4154441, ..., 7.4887714, 7.524459 ,
            7.524459 ],
           ...,
           [3.912798 , 3.7486157, 3.565165 , ..., 7.386035 , 7.308318 ,
            7.308318 ],
           [3.0749097, 2.9516966, 2.2995894, ..., 4.5142117, 4.382999 ,
            4.382999 ],
           [3.7805398, 3.2365022, 2.9659653, ..., 7.329229 , 6.9780216,
            6.9780216]], shape=(2000, 49), dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    -3.68 -3.717 -3.742 ... 4.406 4.406

    minval :

    -8.266665

    maxval :

    8.421242

    array([[-3.6798465, -3.7167888, -3.742291 , ...,  6.4627485,  6.7812586,
             6.7812586],
           [-2.965123 , -3.3984947, -3.8867137, ...,  6.0661893,  6.2364593,
             6.2364593],
           [-3.7464926, -3.4829826, -3.5535007, ...,  7.9351153,  7.9850273,
             7.9850273],
           ...,
           [-2.8588898, -2.5316646, -2.270159 , ...,  6.9555697,  6.3161383,
             6.3161383],
           [-3.3425584, -3.3240526, -3.032683 , ...,  0.6423059,  1.2028131,
             1.2028131],
           [-4.509393 , -4.368942 , -4.322087 , ...,  4.0561714,  4.405993 ,
             4.405993 ]], shape=(2000, 49), dtype=float32)

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

    minval :

    0.0

    maxval :

    0.0

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

  • sea_floor_depth_below_sea_level
    (trajectory, time)
    float32
    91.6 91.29 91.45 ... 117.8 117.8

    minval :

    38.498756

    maxval :

    208.33475

    array([[ 91.5983  ,  91.285904,  91.446655, ...,  97.3447  ,  97.115944,
             97.115944],
           [ 94.49078 ,  94.21666 ,  94.279236, ...,  94.055885,  94.11624 ,
             94.11624 ],
           [ 86.55411 ,  86.093666,  86.02802 , ...,  92.257904,  92.18446 ,
             92.18446 ],
           ...,
           [131.81073 , 124.73901 , 118.882706, ...,  76.04042 ,  73.975006,
             73.975006],
           [ 97.5854  ,  85.97177 ,  76.6442  , ..., 132.6426  , 139.1703  ,
            139.1703  ],
           [122.13025 , 112.7277  , 103.41966 , ..., 118.93173 , 117.765625,
            117.765625]], 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(['2025-05-16 15:26:06.168779', '2025-05-16 16:26:06.168779',
                   '2025-05-16 17:26:06.168779', '2025-05-16 18:26:06.168779',
                   '2025-05-16 19:26:06.168779', '2025-05-16 20:26:06.168779',
                   '2025-05-16 21:26:06.168779', '2025-05-16 22:26:06.168779',
                   '2025-05-16 23:26:06.168779', '2025-05-17 00:26:06.168779',
                   '2025-05-17 01:26:06.168779', '2025-05-17 02:26:06.168779',
                   '2025-05-17 03:26:06.168779', '2025-05-17 04:26:06.168779',
                   '2025-05-17 05:26:06.168779', '2025-05-17 06:26:06.168779',
                   '2025-05-17 07:26:06.168779', '2025-05-17 08:26:06.168779',
                   '2025-05-17 09:26:06.168779', '2025-05-17 10:26:06.168779',
                   '2025-05-17 11:26:06.168779', '2025-05-17 12:26:06.168779',
                   '2025-05-17 13:26:06.168779', '2025-05-17 14:26:06.168779',
                   '2025-05-17 15:26:06.168779', '2025-05-17 16:26:06.168779',
                   '2025-05-17 17:26:06.168779', '2025-05-17 18:26:06.168779',
                   '2025-05-17 19:26:06.168779', '2025-05-17 20:26:06.168779',
                   '2025-05-17 21:26:06.168779', '2025-05-17 22:26:06.168779',
                   '2025-05-17 23:26:06.168779', '2025-05-18 00:26:06.168779',
                   '2025-05-18 01:26:06.168779', '2025-05-18 02:26:06.168779',
                   '2025-05-18 03:26:06.168779', '2025-05-18 04:26:06.168779',
                   '2025-05-18 05:26:06.168779', '2025-05-18 06:26:06.168779',
                   '2025-05-18 07:26:06.168779', '2025-05-18 08:26:06.168779',
                   '2025-05-18 09:26:06.168779', '2025-05-18 10:26:06.168779',
                   '2025-05-18 11:26:06.168779', '2025-05-18 12:26:06.168779',
                   '2025-05-18 13:26:06.168779', '2025-05-18 14:26:06.168779',
                   '2025-05-18 15:26:06.168779'],
                  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 2025-05-16 15:26:10.198038

  date_created :

  2025-05-16T15:26:10.198047

  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 :

  2025-05-16 15:26:06.168779

  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 :

  1.14.0

  seed_geojson :

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

  simulation_time :

  2025-05-16 15:26:10.347121

  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 :

  2025-05-18 15:26:06.168779

  time_coverage_duration :

  P2DT0H0M0S

  time_coverage_resolution :

  P0DT1H0M0S

  performance :

  -------------------- Reader performance: -------------------- global_landmask 0:00:01.5 total 0:00:00.0 preparing 0:00:01.5 reading 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml 0:01:02.7 total 0:00:00.0 preparing 0:01:02.6 reading 0:00:00.0 interpolation 0:00:00.0 interpolation_time 0:00:00.1 rotating vectors 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc 0:01:07.1 total 0:00:00.0 preparing 0:01:06.9 reading 0:00:00.8 interpolation 0:00:00.0 interpolation_time 0:00:00.1 rotating vectors 0:00:00.0 masking -------------------- Performance: 2:26.3 total time 4.0 configuration 0.1 preparing main loop 0.0 moving elements to ocean 2:22.0 main loop 2.9 updating elements 2.8 vertical mixing 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  67.70402

  geospatial_lat_max :

  68.28296

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  12.354942

  geospatial_lon_max :

  14.163694

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:02:26.311182

  geospatial_vertical_min :

  -51.33782

  geospatial_vertical_max :

  0.0

  geospatial_vertical_positive :

  up

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

print(o)

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

===========================
--------------------
Reader performance:
--------------------
global_landmask
 0:00:01.5  total
 0:00:00.0  preparing
 0:00:01.5  reading
 0:00:00.0  masking
--------------------
https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
 0:01:02.7  total
 0:00:00.0  preparing
 0:01:02.6  reading
 0:00:00.0  interpolation
 0:00:00.0  interpolation_time
 0:00:00.1  rotating vectors
 0:00:00.0  masking
--------------------
https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc
 0:01:07.1  total
 0:00:00.0  preparing
 0:01:06.9  reading
 0:00:00.8  interpolation
 0:00:00.0  interpolation_time
 0:00:00.1  rotating vectors
 0:00:00.0  masking
--------------------
Performance:
 2:26.3 total time
    4.0 configuration
    0.1 preparing main loop
      0.0 moving elements to ocean
 2:22.0 main loop
      2.9 updating elements
        2.8 vertical mixing
    0.0 cleaning up
--------------------
===========================
Model:  PelagicEggDrift     (OpenDrift version 1.14.0)
        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: 2025-05-16 15:26:06.168779 UTC
        Present: 2025-05-18 15:26:06.168779 UTC
        Calculation steps: 48 * 1:00:00 - total time: 2 days, 0:00:00
        Output steps: 49 * 1:00:00
===========================

15:28:32 WARNING opendrift:2479: Plotting fast. This will make your plots less accurate.
15:28:43 WARNING opendrift:2479: Plotting fast. This will make your plots less accurate.
15:28:44 INFO    opendrift:4650: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_0.gif...
15:29:31 INFO    opendrift:3086: Time to make animation: 0:00:48.576063

o.animate_vertical_distribution()

15:29:33 INFO    opendrift:4650: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_1.gif...
15:29:46 INFO    opendrift.models.oceandrift:629: Time to make animation: 0:00:12.592793