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'])

15:18:22 INFO    opendrift:509: OpenDriftSimulation initialised (version 1.13.1 / v1.13.1-12-gca7f755)

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)

15:18:22 INFO    opendrift.models.basemodel.environment:206: Adding a global landmask from GSHHG
15:18:26 INFO    opendrift.models.basemodel.environment:229: Fallback values will be used for the following variables which have no readers:
15:18:26 INFO    opendrift.models.basemodel.environment:232:    x_sea_water_velocity: 0.000000
15:18:26 INFO    opendrift.models.basemodel.environment:232:    y_sea_water_velocity: 0.000000
15:18:26 INFO    opendrift.models.basemodel.environment:232:    sea_surface_height: 0.000000
15:18:26 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_significant_height: 0.000000
15:18:26 INFO    opendrift.models.basemodel.environment:232:    sea_ice_area_fraction: 0.000000
15:18:26 INFO    opendrift.models.basemodel.environment:232:    x_wind: 0.000000
15:18:26 INFO    opendrift.models.basemodel.environment:232:    y_wind: 0.000000
15:18:26 INFO    opendrift.models.basemodel.environment:232:    sea_floor_depth_below_sea_level: 100.000000
15:18:26 INFO    opendrift.models.basemodel.environment:232:    ocean_vertical_diffusivity: 0.020000
15:18:26 INFO    opendrift.models.basemodel.environment:232:    ocean_mixed_layer_thickness: 50.000000
15:18:26 INFO    opendrift.models.basemodel.environment:232:    sea_water_temperature: 10.000000
15:18:26 INFO    opendrift.models.basemodel.environment:232:    sea_water_salinity: 34.000000
15:18:26 INFO    opendrift.models.basemodel.environment:232:    surface_downward_x_stress: 0.000000
15:18:26 INFO    opendrift.models.basemodel.environment:232:    surface_downward_y_stress: 0.000000
15:18:26 INFO    opendrift.models.basemodel.environment:232:    turbulent_kinetic_energy: 0.000000
15:18:26 INFO    opendrift.models.basemodel.environment:232:    turbulent_generic_length_scale: 0.000000
15:18:26 INFO    opendrift.models.basemodel.environment:232:    upward_sea_water_velocity: 0.000000

Running model

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

15:18:26 INFO    opendrift:919: Using existing reader for land_binary_mask
15:18:26 INFO    opendrift:930: All points are in ocean
15:18:26 INFO    opendrift:2056: 2025-04-03 15:18:22.128529 - step 1 of 48 - 2000 active elements (0 deactivated)
15:18:26 INFO    opendrift.readers:61: Opening file with xr.open_dataset
15:19:05 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'x': 'x', 'y': 'y', 'time': 'time'}
15:19:05 INFO    opendrift.readers:61: Opening file with xr.open_dataset
15:19:06 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'time': 'time', 'x': 'x', 'y': 'y'}
15:19:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:10 INFO    opendrift:2056: 2025-04-03 16:18:22.128529 - step 2 of 48 - 2000 active elements (0 deactivated)
15:19:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:13 INFO    opendrift:2056: 2025-04-03 17:18:22.128529 - step 3 of 48 - 2000 active elements (0 deactivated)
15:19:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:17 INFO    opendrift:2056: 2025-04-03 18:18:22.128529 - step 4 of 48 - 2000 active elements (0 deactivated)
15:19:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:20 INFO    opendrift:2056: 2025-04-03 19:18:22.128529 - step 5 of 48 - 2000 active elements (0 deactivated)
15:19:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:23 INFO    opendrift:2056: 2025-04-03 20:18:22.128529 - step 6 of 48 - 2000 active elements (0 deactivated)
15:19:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:26 INFO    opendrift:2056: 2025-04-03 21:18:22.128529 - step 7 of 48 - 2000 active elements (0 deactivated)
15:19:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:28 INFO    opendrift:2056: 2025-04-03 22:18:22.128529 - step 8 of 48 - 2000 active elements (0 deactivated)
15:19:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:31 INFO    opendrift:2056: 2025-04-03 23:18:22.128529 - step 9 of 48 - 2000 active elements (0 deactivated)
15:19:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:34 INFO    opendrift:2056: 2025-04-04 00:18:22.128529 - step 10 of 48 - 2000 active elements (0 deactivated)
15:19:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:37 INFO    opendrift:2056: 2025-04-04 01:18:22.128529 - step 11 of 48 - 2000 active elements (0 deactivated)
15:19:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:40 INFO    opendrift:2056: 2025-04-04 02:18:22.128529 - step 12 of 48 - 2000 active elements (0 deactivated)
15:19:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:43 INFO    opendrift:2056: 2025-04-04 03:18:22.128529 - step 13 of 48 - 2000 active elements (0 deactivated)
15:19:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:46 INFO    opendrift:2056: 2025-04-04 04:18:22.128529 - step 14 of 48 - 2000 active elements (0 deactivated)
15:19:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:49 INFO    opendrift:2056: 2025-04-04 05:18:22.128529 - step 15 of 48 - 2000 active elements (0 deactivated)
15:19:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:52 INFO    opendrift:2056: 2025-04-04 06:18:22.128529 - step 16 of 48 - 2000 active elements (0 deactivated)
15:19:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:55 INFO    opendrift:2056: 2025-04-04 07:18:22.128529 - step 17 of 48 - 2000 active elements (0 deactivated)
15:19:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:19:58 INFO    opendrift:2056: 2025-04-04 08:18:22.128529 - step 18 of 48 - 2000 active elements (0 deactivated)
15:20:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:00 INFO    opendrift:2056: 2025-04-04 09:18:22.128529 - step 19 of 48 - 2000 active elements (0 deactivated)
15:20:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:03 INFO    opendrift:2056: 2025-04-04 10:18:22.128529 - step 20 of 48 - 2000 active elements (0 deactivated)
15:20:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:06 INFO    opendrift:2056: 2025-04-04 11:18:22.128529 - step 21 of 48 - 2000 active elements (0 deactivated)
15:20:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:09 INFO    opendrift:2056: 2025-04-04 12:18:22.128529 - step 22 of 48 - 2000 active elements (0 deactivated)
15:20:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:12 INFO    opendrift:2056: 2025-04-04 13:18:22.128529 - step 23 of 48 - 2000 active elements (0 deactivated)
15:20:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:14 INFO    opendrift:2056: 2025-04-04 14:18:22.128529 - step 24 of 48 - 2000 active elements (0 deactivated)
15:20:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:17 INFO    opendrift:2056: 2025-04-04 15:18:22.128529 - step 25 of 48 - 2000 active elements (0 deactivated)
15:20:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:20 INFO    opendrift:2056: 2025-04-04 16:18:22.128529 - step 26 of 48 - 2000 active elements (0 deactivated)
15:20:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:23 INFO    opendrift:2056: 2025-04-04 17:18:22.128529 - step 27 of 48 - 2000 active elements (0 deactivated)
15:20:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:26 INFO    opendrift:2056: 2025-04-04 18:18:22.128529 - step 28 of 48 - 2000 active elements (0 deactivated)
15:20:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:29 INFO    opendrift:2056: 2025-04-04 19:18:22.128529 - step 29 of 48 - 2000 active elements (0 deactivated)
15:20:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:32 INFO    opendrift:2056: 2025-04-04 20:18:22.128529 - step 30 of 48 - 2000 active elements (0 deactivated)
15:20:35 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:35 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:35 INFO    opendrift:2056: 2025-04-04 21:18:22.128529 - step 31 of 48 - 2000 active elements (0 deactivated)
15:20:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:37 INFO    opendrift:2056: 2025-04-04 22:18:22.128529 - step 32 of 48 - 2000 active elements (0 deactivated)
15:20:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:40 INFO    opendrift:2056: 2025-04-04 23:18:22.128529 - step 33 of 48 - 2000 active elements (0 deactivated)
15:20:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:43 INFO    opendrift:2056: 2025-04-05 00:18:22.128529 - step 34 of 48 - 2000 active elements (0 deactivated)
15:20:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:46 INFO    opendrift:2056: 2025-04-05 01:18:22.128529 - step 35 of 48 - 2000 active elements (0 deactivated)
15:20:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:49 INFO    opendrift:2056: 2025-04-05 02:18:22.128529 - step 36 of 48 - 2000 active elements (0 deactivated)
15:20:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:51 INFO    opendrift:2056: 2025-04-05 03:18:22.128529 - step 37 of 48 - 2000 active elements (0 deactivated)
15:20:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:54 INFO    opendrift:2056: 2025-04-05 04:18:22.128529 - step 38 of 48 - 2000 active elements (0 deactivated)
15:20:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:20:57 INFO    opendrift:2056: 2025-04-05 05:18:22.128529 - step 39 of 48 - 2000 active elements (0 deactivated)
15:21:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:21:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:21:00 INFO    opendrift:2056: 2025-04-05 06:18:22.128529 - step 40 of 48 - 2000 active elements (0 deactivated)
15:21:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:21:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:21:03 INFO    opendrift:2056: 2025-04-05 07:18:22.128529 - step 41 of 48 - 2000 active elements (0 deactivated)
15:21:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:21:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:21:06 INFO    opendrift:2056: 2025-04-05 08:18:22.128529 - step 42 of 48 - 2000 active elements (0 deactivated)
15:21:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:21:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:21:09 INFO    opendrift:2056: 2025-04-05 09:18:22.128529 - step 43 of 48 - 2000 active elements (0 deactivated)
15:21:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:21:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:21:11 INFO    opendrift:2056: 2025-04-05 10:18:22.128529 - step 44 of 48 - 2000 active elements (0 deactivated)
15:21:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:21:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:21:14 INFO    opendrift:2056: 2025-04-05 11:18:22.128529 - step 45 of 48 - 2000 active elements (0 deactivated)
15:21:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:21:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:21:17 INFO    opendrift:2056: 2025-04-05 12:18:22.128529 - step 46 of 48 - 2000 active elements (0 deactivated)
15:21:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:21:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:21:20 INFO    opendrift:2056: 2025-04-05 13:18:22.128529 - step 47 of 48 - 2000 active elements (0 deactivated)
15:21:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:21:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:21:23 INFO    opendrift:2056: 2025-04-05 14:18:22.128529 - step 48 of 48 - 2000 active elements (0 deactivated)
15:21:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:21:26 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 2025-04-0...
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: (12/136)
    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:                                                          0:03:04...
    geospatial_vertical_min:                                          -54.382557
    geospatial_vertical_max:                                          -1.8039...
    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])

  • time
    (time)
    datetime64[ns]
    2025-04-03T15:18:22.128529 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2025-04-03T15:18:22.128529000', '2025-04-03T16:18:22.128529000',
           '2025-04-03T17:18:22.128529000', '2025-04-03T18:18:22.128529000',
           '2025-04-03T19:18:22.128529000', '2025-04-03T20:18:22.128529000',
           '2025-04-03T21:18:22.128529000', '2025-04-03T22:18:22.128529000',
           '2025-04-03T23:18:22.128529000', '2025-04-04T00:18:22.128529000',
           '2025-04-04T01:18:22.128529000', '2025-04-04T02:18:22.128529000',
           '2025-04-04T03:18:22.128529000', '2025-04-04T04:18:22.128529000',
           '2025-04-04T05:18:22.128529000', '2025-04-04T06:18:22.128529000',
           '2025-04-04T07:18:22.128529000', '2025-04-04T08:18:22.128529000',
           '2025-04-04T09:18:22.128529000', '2025-04-04T10:18:22.128529000',
           '2025-04-04T11:18:22.128529000', '2025-04-04T12:18:22.128529000',
           '2025-04-04T13:18:22.128529000', '2025-04-04T14:18:22.128529000',
           '2025-04-04T15:18:22.128529000', '2025-04-04T16:18:22.128529000',
           '2025-04-04T17:18:22.128529000', '2025-04-04T18:18:22.128529000',
           '2025-04-04T19:18:22.128529000', '2025-04-04T20:18:22.128529000',
           '2025-04-04T21:18:22.128529000', '2025-04-04T22:18:22.128529000',
           '2025-04-04T23:18:22.128529000', '2025-04-05T00:18:22.128529000',
           '2025-04-05T01:18:22.128529000', '2025-04-05T02:18:22.128529000',
           '2025-04-05T03:18:22.128529000', '2025-04-05T04:18:22.128529000',
           '2025-04-05T05:18:22.128529000', '2025-04-05T06:18:22.128529000',
           '2025-04-05T07:18:22.128529000', '2025-04-05T08:18:22.128529000',
           '2025-04-05T09:18:22.128529000', '2025-04-05T10:18:22.128529000',
           '2025-04-05T11:18:22.128529000', '2025-04-05T12:18:22.128529000',
           '2025-04-05T13:18:22.128529000', '2025-04-05T14:18:22.128529000',
           '2025-04-05T15:18:22.128529000'], 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.]], 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.]], 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.]],
          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.]], dtype=float32)

  • lon
    (trajectory, time)
    float32
    14.08 14.09 14.1 ... 12.92 12.93

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    12.292374

    maxval :

    14.17764

    array([[14.084752 , 14.093257 , 14.098032 , ..., 14.12592  , 14.13359  ,
            14.140714 ],
           [14.019218 , 14.028828 , 14.034516 , ..., 14.068712 , 14.076772 ,
            14.084221 ],
           [14.047049 , 14.056059 , 14.061661 , ..., 14.089467 , 14.097575 ,
            14.10536  ],
           ...,
           [13.055853 , 13.054391 , 13.04646  , ..., 12.924411 , 12.934412 ,
            12.942207 ],
           [13.005157 , 12.993242 , 12.97584  , ..., 12.859832 , 12.870291 ,
            12.87814  ],
           [13.002091 , 13.0024805, 12.996468 , ..., 12.9063   , 12.916439 ,
            12.925099 ]], dtype=float32)

  • lat
    (trajectory, time)
    float32
    68.11 68.1 68.1 ... 67.63 67.63

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    67.5575

    maxval :

    68.149475

    array([[68.10684 , 68.10202 , 68.096405, ..., 68.00208 , 68.001656,
            68.001465],
           [68.09939 , 68.09424 , 68.08826 , ..., 67.99588 , 67.99558 ,
            67.99541 ],
           [68.11965 , 68.11539 , 68.110306, ..., 68.02074 , 68.02054 ,
            68.02051 ],
           ...,
           [67.79944 , 67.7915  , 67.785255, ..., 67.67307 , 67.67046 ,
            67.66753 ],
           [67.82828 , 67.81886 , 67.811264, ..., 67.64903 , 67.64545 ,
            67.64193 ],
           [67.78542 , 67.77424 , 67.7654  , ..., 67.63656 , 67.63494 ,
            67.632996]], dtype=float32)

  • z
    (trajectory, time)
    float32
    -40.0 -50.6 ... -12.54 -15.54

    dtype :

    <class 'numpy.float32'>

    units :

    m

    standard_name :

    z

    long_name :

    vertical position

    axis :

    Z

    positive :

    up

    minval :

    -54.382557

    maxval :

    -1.8039338e-05

    array([[-40.        , -50.602104  , -51.57624   , ...,  -2.4168646 ,
             -1.3435209 ,  -0.81724286],
           [-40.        , -51.87588   , -50.460403  , ..., -11.060588  ,
            -11.185488  , -43.525368  ],
           [-40.        ,  -9.984771  , -15.166523  , ...,  -6.7886806 ,
             -0.7957453 ,  -9.886623  ],
           ...,
           [-40.        , -45.869205  , -35.16711   , ..., -20.453089  ,
            -20.218985  , -22.232227  ],
           [-40.        , -18.442093  , -20.296879  , ..., -11.948361  ,
             -3.6844282 ,  -6.975017  ],
           [-40.        , -35.47481   , -10.981695  , ..., -12.995097  ,
            -12.538755  , -15.5368    ]], 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]], 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.]], 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]], 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]],
          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]], 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.]], 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.]], dtype=float32)

  • x_sea_water_velocity
    (trajectory, time)
    float32
    0.09836 0.05524 ... 0.1022 0.1022

    minval :

    -0.3033209

    maxval :

    0.34303737

    array([[ 0.09836309,  0.05524006,  0.03473385, ...,  0.08909091,
             0.08275365,  0.08275365],
           [ 0.11117678,  0.06583065,  0.04121105, ...,  0.09365242,
             0.08655088,  0.08655088],
           [ 0.10415501,  0.06475962,  0.04435812, ...,  0.09410513,
             0.09035974,  0.09035974],
           ...,
           [-0.01713294, -0.09298805, -0.10281522, ...,  0.11783744,
             0.09185813,  0.09185813],
           [-0.13949789, -0.2038213 , -0.1931918 , ...,  0.12335435,
             0.09259479,  0.09259479],
           [ 0.00456262, -0.07056182, -0.0795469 , ...,  0.11964894,
             0.10219286,  0.10219286]], dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    -0.1494 -0.1739 ... -0.06024

    minval :

    -0.5724672

    maxval :

    0.30674258

    array([[-0.1494061 , -0.17393409, -0.19306655, ..., -0.01323946,
            -0.00590032, -0.00590032],
           [-0.15954395, -0.18520813, -0.20263854, ..., -0.00917851,
            -0.00544969, -0.00544969],
           [-0.1321899 , -0.15737623, -0.17815731, ..., -0.00621691,
            -0.00078524, -0.00078524],
           ...,
           [-0.2459897 , -0.19334856, -0.16540459, ..., -0.08091513,
            -0.09090485, -0.09090485],
           [-0.29170638, -0.23543955, -0.20318137, ..., -0.1111278 ,
            -0.10908294, -0.10908294],
           [-0.34656107, -0.2736237 , -0.23544984, ..., -0.05013435,
            -0.06024159, -0.06024159]], dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    0.7258 0.3918 ... -0.5381 -0.5381

    minval :

    -1.3352004

    maxval :

    0.7287413

    array([[ 0.725809  ,  0.3917566 , -0.06517257, ..., -0.8162208 ,
            -0.49998188, -0.49998188],
           [ 0.72181094,  0.38946056, -0.06569128, ..., -0.816067  ,
            -0.50080657, -0.50080657],
           [ 0.72352624,  0.3912753 , -0.06508102, ..., -0.81729877,
            -0.5010921 , -0.5010921 ],
           ...,
           [ 0.58892626,  0.29573026, -0.11628975, ..., -0.8193742 ,
            -0.5398568 , -0.5398568 ],
           [ 0.5889161 ,  0.3010778 , -0.10928497, ..., -0.81675017,
            -0.53940856, -0.53940856],
           [ 0.5834964 ,  0.29070127, -0.12022822, ..., -0.81632805,
            -0.538072  , -0.538072  ]], dtype=float32)

  • sea_surface_wave_significant_height
    (trajectory, time)
    float32
    7.723 8.368 9.944 ... 1.089 1.089

    minval :

    0.0004134136

    maxval :

    14.648486

    array([[ 7.7225866 ,  8.367676  ,  9.943619  , ...,  1.3319947 ,
             1.7217648 ,  1.7217648 ],
           [ 6.776389  ,  8.573677  ,  7.408928  , ...,  2.2909634 ,
             3.036515  ,  3.036515  ],
           [ 7.4321184 ,  9.614145  ,  9.732833  , ...,  0.55046654,
             0.7815449 ,  0.7815449 ],
           ...,
           [12.371883  , 11.00322   ,  8.705372  , ...,  1.4245684 ,
             1.7841201 ,  1.7841201 ],
           [10.993824  , 11.369901  ,  9.614742  , ...,  2.631441  ,
             1.9595983 ,  1.9595983 ],
           [ 5.1285844 ,  5.7753706 , 10.65085   , ...,  0.875778  ,
             1.0887417 ,  1.0887417 ]], 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.]], dtype=float32)

  • x_wind
    (trajectory, time)
    float32
    16.06 13.96 11.24 ... 6.45 6.45

    minval :

    -8.256005

    maxval :

    19.946186

    array([[16.063124 , 13.964179 , 11.24126  , ...,  5.9698763,  6.0217185,
             6.0217185],
           [10.687985 , 13.793952 , 10.290554 , ...,  7.029284 ,  6.472243 ,
             6.472243 ],
           [13.56497  , 14.704675 , 13.019353 , ...,  4.6626024,  5.1360393,
             5.1360393],
           ...,
           [17.870382 , 17.051735 , 13.674673 , ...,  5.2907505,  5.9486823,
             5.9486823],
           [16.018324 , 13.430717 , 11.94477  , ...,  6.975787 ,  7.986162 ,
             7.986162 ],
           [11.629651 , 10.720899 , 12.255317 , ...,  5.8850074,  6.4498634,
             6.4498634]], dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    -7.477 -12.05 -16.67 ... 1.63 1.63

    minval :

    -19.591879

    maxval :

    9.343821

    array([[ -7.4767895 , -12.047867  , -16.668722  , ...,   4.3019414 ,
              5.807697  ,   5.807697  ],
           [-12.697637  , -12.579759  , -13.974278  , ...,   6.6119413 ,
              9.030263  ,   9.030263  ],
           [-10.867853  , -13.213306  , -15.037956  , ...,   0.79801613,
              2.3219    ,   2.3219    ],
           ...,
           [-13.548858  , -12.510945  , -12.918215  , ...,   5.469666  ,
              6.0941277 ,   6.0941277 ],
           [-13.795532  , -16.787106  , -15.753276  , ...,   7.6359386 ,
              3.984933  ,   3.984933  ],
           [ -8.557469  , -10.94685   , -16.815723  , ...,   0.9835769 ,
              1.6300477 ,   1.6300477 ]], 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.]], dtype=float32)

  • sea_floor_depth_below_sea_level
    (trajectory, time)
    float32
    91.6 93.64 96.31 ... 206.7 206.7

    minval :

    55.711708

    maxval :

    262.08124

    array([[ 91.5983  ,  93.642166,  96.308334, ..., 236.4926  , 238.45406 ,
            238.45406 ],
           [ 94.49078 ,  96.30479 ,  97.82994 , ..., 227.73846 , 229.60616 ,
            229.60616 ],
           [ 86.55411 ,  88.35237 ,  90.47141 , ..., 193.4672  , 199.33234 ,
            199.33234 ],
           ...,
           [131.81073 , 135.23515 , 135.95143 , ..., 175.77939 , 180.85803 ,
            180.85803 ],
           [ 97.5854  ,  99.60964 ,  98.32988 , ..., 180.76292 , 187.06458 ,
            187.06458 ],
           [122.13024 , 128.20428 , 131.1883  , ..., 204.28954 , 206.68773 ,
            206.68773 ]], 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]], 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.]], 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.]], 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.]], 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.]], 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.]], 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.]], 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.]], 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.]], 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(['2025-04-03 15:18:22.128529', '2025-04-03 16:18:22.128529',
                   '2025-04-03 17:18:22.128529', '2025-04-03 18:18:22.128529',
                   '2025-04-03 19:18:22.128529', '2025-04-03 20:18:22.128529',
                   '2025-04-03 21:18:22.128529', '2025-04-03 22:18:22.128529',
                   '2025-04-03 23:18:22.128529', '2025-04-04 00:18:22.128529',
                   '2025-04-04 01:18:22.128529', '2025-04-04 02:18:22.128529',
                   '2025-04-04 03:18:22.128529', '2025-04-04 04:18:22.128529',
                   '2025-04-04 05:18:22.128529', '2025-04-04 06:18:22.128529',
                   '2025-04-04 07:18:22.128529', '2025-04-04 08:18:22.128529',
                   '2025-04-04 09:18:22.128529', '2025-04-04 10:18:22.128529',
                   '2025-04-04 11:18:22.128529', '2025-04-04 12:18:22.128529',
                   '2025-04-04 13:18:22.128529', '2025-04-04 14:18:22.128529',
                   '2025-04-04 15:18:22.128529', '2025-04-04 16:18:22.128529',
                   '2025-04-04 17:18:22.128529', '2025-04-04 18:18:22.128529',
                   '2025-04-04 19:18:22.128529', '2025-04-04 20:18:22.128529',
                   '2025-04-04 21:18:22.128529', '2025-04-04 22:18:22.128529',
                   '2025-04-04 23:18:22.128529', '2025-04-05 00:18:22.128529',
                   '2025-04-05 01:18:22.128529', '2025-04-05 02:18:22.128529',
                   '2025-04-05 03:18:22.128529', '2025-04-05 04:18:22.128529',
                   '2025-04-05 05:18:22.128529', '2025-04-05 06:18:22.128529',
                   '2025-04-05 07:18:22.128529', '2025-04-05 08:18:22.128529',
                   '2025-04-05 09:18:22.128529', '2025-04-05 10:18:22.128529',
                   '2025-04-05 11:18:22.128529', '2025-04-05 12:18:22.128529',
                   '2025-04-05 13:18:22.128529', '2025-04-05 14:18:22.128529',
                   '2025-04-05 15:18:22.128529'],
                  dtype='datetime64[ns]', name='time', freq='h'))

• Attributes: (136)

  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 2025-04-03 15:18:26.376550

  date_created :

  2025-04-03T15:18:26.376566

  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 :

  2025-04-03 15:18:22.128529

  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_mixing :

  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 :

  1.13.1

  seed_geojson :

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

  simulation_time :

  2025-04-03 15:18:26.495113

  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 :

  2025-04-05 15:18:22.128529

  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 0:01:02.5 total 0:00:00.0 preparing 0:01:02.0 reading 0:00:00.0 interpolation 0:00:00.0 interpolation_time 0:00:00.5 rotating vectors 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc 0:01:09.1 total 0:00:00.0 preparing 0:01:08.6 reading 0:00:01.0 interpolation 0:00:00.0 interpolation_time 0:00:00.5 rotating vectors 0:00:00.0 masking -------------------- Performance: 3:04.1 total time 4.3 configuration 0.1 preparing main loop 0.0 moving elements to ocean 2:59.7 main loop 3.7 updating elements 3.6 vertical mixing 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  67.5575

  geospatial_lat_max :

  68.149475

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  12.292374

  geospatial_lon_max :

  14.17764

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:03:04.185170

  geospatial_vertical_min :

  -54.382557

  geospatial_vertical_max :

  -1.8039338e-05

  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
 0:01:02.5  total
 0:00:00.0  preparing
 0:01:02.0  reading
 0:00:00.0  interpolation
 0:00:00.0  interpolation_time
 0:00:00.5  rotating vectors
 0:00:00.0  masking
--------------------
https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc
 0:01:09.1  total
 0:00:00.0  preparing
 0:01:08.6  reading
 0:00:01.0  interpolation
 0:00:00.0  interpolation_time
 0:00:00.5  rotating vectors
 0:00:00.0  masking
--------------------
Performance:
 3:04.1 total time
    4.3 configuration
    0.1 preparing main loop
      0.0 moving elements to ocean
 2:59.7 main loop
      3.7 updating elements
        3.6 vertical mixing
    0.0 cleaning up
--------------------
===========================
Model:  PelagicEggDrift     (OpenDrift version 1.13.1)
        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: 2025-04-03 15:18:22.128529 UTC
        Present: 2025-04-05 15:18:22.128529 UTC
        Calculation steps: 48 * 1:00:00 - total time: 2 days, 0:00:00
        Output steps: 49 * 1:00:00
===========================

15:21:26 WARNING opendrift:2429: Plotting fast. This will make your plots less accurate.
15:21:35 WARNING opendrift:2429: Plotting fast. This will make your plots less accurate.
15:21:36 INFO    opendrift:4600: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_0.gif...
15:22:12 INFO    opendrift:3036: Time to make animation: 0:00:37.412271

o.animate_vertical_distribution()

15:22:14 INFO    opendrift:4600: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_1.gif...
15:22:25 INFO    opendrift.models.oceandrift:619: Time to make animation: 0:00:11.340461