Cod egg

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

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

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

14:20:11 INFO    opendrift:509: OpenDriftSimulation initialised (version 1.13.0 / v1.13.0-75-gd4c13d2)

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)

14:20:11 INFO    opendrift.models.basemodel.environment:206: Adding a dynamical landmask with max. priority based on assumed maximum speed of 2.0 m/s. Adding a customised landmask may be faster...
14:20:15 INFO    opendrift.models.basemodel.environment:233: Fallback values will be used for the following variables which have no readers:
14:20:15 INFO    opendrift.models.basemodel.environment:236:    x_sea_water_velocity: 0.000000
14:20:15 INFO    opendrift.models.basemodel.environment:236:    y_sea_water_velocity: 0.000000
14:20:15 INFO    opendrift.models.basemodel.environment:236:    sea_surface_height: 0.000000
14:20:15 INFO    opendrift.models.basemodel.environment:236:    sea_surface_wave_significant_height: 0.000000
14:20:15 INFO    opendrift.models.basemodel.environment:236:    sea_ice_area_fraction: 0.000000
14:20:15 INFO    opendrift.models.basemodel.environment:236:    x_wind: 0.000000
14:20:15 INFO    opendrift.models.basemodel.environment:236:    y_wind: 0.000000
14:20:15 INFO    opendrift.models.basemodel.environment:236:    sea_floor_depth_below_sea_level: 100.000000
14:20:15 INFO    opendrift.models.basemodel.environment:236:    ocean_vertical_diffusivity: 0.020000
14:20:15 INFO    opendrift.models.basemodel.environment:236:    ocean_mixed_layer_thickness: 50.000000
14:20:15 INFO    opendrift.models.basemodel.environment:236:    sea_water_temperature: 10.000000
14:20:15 INFO    opendrift.models.basemodel.environment:236:    sea_water_salinity: 34.000000
14:20:15 INFO    opendrift.models.basemodel.environment:236:    surface_downward_x_stress: 0.000000
14:20:15 INFO    opendrift.models.basemodel.environment:236:    surface_downward_y_stress: 0.000000
14:20:15 INFO    opendrift.models.basemodel.environment:236:    turbulent_kinetic_energy: 0.000000
14:20:15 INFO    opendrift.models.basemodel.environment:236:    turbulent_generic_length_scale: 0.000000
14:20:15 INFO    opendrift.models.basemodel.environment:236:    upward_sea_water_velocity: 0.000000

Running model

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

14:20:15 INFO    opendrift:919: Using existing reader for land_binary_mask
14:20:15 INFO    opendrift:930: All points are in ocean
14:20:15 INFO    opendrift:2056: 2025-03-13 14:20:11.458083 - step 1 of 48 - 2000 active elements (0 deactivated)
14:20:15 INFO    opendrift.readers:58: Opening file with xr.open_dataset
14:20:20 INFO    opendrift.readers.reader_netCDF_CF_generic:338: Detected dimensions: {'x': 'x', 'y': 'y', 'time': 'time'}
14:20:20 INFO    opendrift.readers:58: Opening file with xr.open_dataset
14:20:21 INFO    opendrift.readers.reader_netCDF_CF_generic:338: Detected dimensions: {'time': 'time', 'x': 'x', 'y': 'y'}
14:20:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:25 INFO    opendrift:2056: 2025-03-13 15:20:11.458083 - step 2 of 48 - 2000 active elements (0 deactivated)
14:20:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:30 INFO    opendrift:2056: 2025-03-13 16:20:11.458083 - step 3 of 48 - 2000 active elements (0 deactivated)
14:20:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:32 INFO    opendrift:2056: 2025-03-13 17:20:11.458083 - step 4 of 48 - 2000 active elements (0 deactivated)
14:20:35 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:35 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:35 INFO    opendrift:2056: 2025-03-13 18:20:11.458083 - step 5 of 48 - 2000 active elements (0 deactivated)
14:20:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:38 INFO    opendrift:2056: 2025-03-13 19:20:11.458083 - step 6 of 48 - 2000 active elements (0 deactivated)
14:20:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:40 INFO    opendrift:2056: 2025-03-13 20:20:11.458083 - step 7 of 48 - 2000 active elements (0 deactivated)
14:20:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:43 INFO    opendrift:2056: 2025-03-13 21:20:11.458083 - step 8 of 48 - 2000 active elements (0 deactivated)
14:20:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:46 INFO    opendrift:2056: 2025-03-13 22:20:11.458083 - step 9 of 48 - 2000 active elements (0 deactivated)
14:20:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:49 INFO    opendrift:2056: 2025-03-13 23:20:11.458083 - step 10 of 48 - 2000 active elements (0 deactivated)
14:20:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:53 INFO    opendrift:2056: 2025-03-14 00:20:11.458083 - step 11 of 48 - 2000 active elements (0 deactivated)
14:20:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:56 INFO    opendrift:2056: 2025-03-14 01:20:11.458083 - step 12 of 48 - 2000 active elements (0 deactivated)
14:20:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:20:58 INFO    opendrift:2056: 2025-03-14 02:20:11.458083 - step 13 of 48 - 2000 active elements (0 deactivated)
14:21:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:01 INFO    opendrift:2056: 2025-03-14 03:20:11.458083 - step 14 of 48 - 2000 active elements (0 deactivated)
14:21:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:04 INFO    opendrift:2056: 2025-03-14 04:20:11.458083 - step 15 of 48 - 2000 active elements (0 deactivated)
14:21:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:12 INFO    opendrift:2056: 2025-03-14 05:20:11.458083 - step 16 of 48 - 2000 active elements (0 deactivated)
14:21:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:18 INFO    opendrift:2056: 2025-03-14 06:20:11.458083 - step 17 of 48 - 2000 active elements (0 deactivated)
14:21:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:20 INFO    opendrift:2056: 2025-03-14 07:20:11.458083 - step 18 of 48 - 2000 active elements (0 deactivated)
14:21:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:23 INFO    opendrift:2056: 2025-03-14 08:20:11.458083 - step 19 of 48 - 2000 active elements (0 deactivated)
14:21:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:26 INFO    opendrift:2056: 2025-03-14 09:20:11.458083 - step 20 of 48 - 2000 active elements (0 deactivated)
14:21:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:29 INFO    opendrift:2056: 2025-03-14 10:20:11.458083 - step 21 of 48 - 2000 active elements (0 deactivated)
14:21:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:31 INFO    opendrift:2056: 2025-03-14 11:20:11.458083 - step 22 of 48 - 2000 active elements (0 deactivated)
14:21:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:34 INFO    opendrift:2056: 2025-03-14 12:20:11.458083 - step 23 of 48 - 2000 active elements (0 deactivated)
14:21:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:36 INFO    opendrift:2056: 2025-03-14 13:20:11.458083 - step 24 of 48 - 2000 active elements (0 deactivated)
14:21:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:39 INFO    opendrift:2056: 2025-03-14 14:20:11.458083 - step 25 of 48 - 2000 active elements (0 deactivated)
14:21:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:42 INFO    opendrift:2056: 2025-03-14 15:20:11.458083 - step 26 of 48 - 2000 active elements (0 deactivated)
14:21:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:45 INFO    opendrift:2056: 2025-03-14 16:20:11.458083 - step 27 of 48 - 2000 active elements (0 deactivated)
14:21:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:47 INFO    opendrift:2056: 2025-03-14 17:20:11.458083 - step 28 of 48 - 2000 active elements (0 deactivated)
14:21:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:50 INFO    opendrift:2056: 2025-03-14 18:20:11.458083 - step 29 of 48 - 2000 active elements (0 deactivated)
14:21:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:52 INFO    opendrift:2056: 2025-03-14 19:20:11.458083 - step 30 of 48 - 2000 active elements (0 deactivated)
14:21:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:55 INFO    opendrift:2056: 2025-03-14 20:20:11.458083 - step 31 of 48 - 2000 active elements (0 deactivated)
14:21:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:21:57 INFO    opendrift:2056: 2025-03-14 21:20:11.458083 - step 32 of 48 - 2000 active elements (0 deactivated)
14:22:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:00 INFO    opendrift:2056: 2025-03-14 22:20:11.458083 - step 33 of 48 - 2000 active elements (0 deactivated)
14:22:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:02 INFO    opendrift:2056: 2025-03-14 23:20:11.458083 - step 34 of 48 - 2000 active elements (0 deactivated)
14:22:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:05 INFO    opendrift:2056: 2025-03-15 00:20:11.458083 - step 35 of 48 - 2000 active elements (0 deactivated)
14:22:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:08 INFO    opendrift:2056: 2025-03-15 01:20:11.458083 - step 36 of 48 - 2000 active elements (0 deactivated)
14:22:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:11 INFO    opendrift:2056: 2025-03-15 02:20:11.458083 - step 37 of 48 - 2000 active elements (0 deactivated)
14:22:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:13 INFO    opendrift:2056: 2025-03-15 03:20:11.458083 - step 38 of 48 - 2000 active elements (0 deactivated)
14:22:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:16 INFO    opendrift:2056: 2025-03-15 04:20:11.458083 - step 39 of 48 - 2000 active elements (0 deactivated)
14:22:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:19 INFO    opendrift:2056: 2025-03-15 05:20:11.458083 - step 40 of 48 - 2000 active elements (0 deactivated)
14:22:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:22 INFO    opendrift:2056: 2025-03-15 06:20:11.458083 - step 41 of 48 - 2000 active elements (0 deactivated)
14:22:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:24 INFO    opendrift:2056: 2025-03-15 07:20:11.458083 - step 42 of 48 - 2000 active elements (0 deactivated)
14:22:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:27 INFO    opendrift:2056: 2025-03-15 08:20:11.458083 - step 43 of 48 - 2000 active elements (0 deactivated)
14:22:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:29 INFO    opendrift:2056: 2025-03-15 09:20:11.458083 - step 44 of 48 - 2000 active elements (0 deactivated)
14:22:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:32 INFO    opendrift:2056: 2025-03-15 10:20:11.458083 - step 45 of 48 - 2000 active elements (0 deactivated)
14:22:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:34 INFO    opendrift:2056: 2025-03-15 11:20:11.458083 - step 46 of 48 - 2000 active elements (0 deactivated)
14:22:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:36 INFO    opendrift:2056: 2025-03-15 12:20:11.458083 - step 47 of 48 - 2000 active elements (0 deactivated)
14:22:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:39 INFO    opendrift:2056: 2025-03-15 13:20:11.458083 - step 48 of 48 - 2000 active elements (0 deactivated)
14:22:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
14:22:42 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 2025-03-1...
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: (12/136)
    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:                                                          0:02:30...
    geospatial_vertical_min:                                          -52.319687
    geospatial_vertical_max:                                          -0.0002...
    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]
    2025-03-13T14:20:11.458083 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2025-03-13T14:20:11.458083000', '2025-03-13T15:20:11.458083000',
           '2025-03-13T16:20:11.458083000', '2025-03-13T17:20:11.458083000',
           '2025-03-13T18:20:11.458083000', '2025-03-13T19:20:11.458083000',
           '2025-03-13T20:20:11.458083000', '2025-03-13T21:20:11.458083000',
           '2025-03-13T22:20:11.458083000', '2025-03-13T23:20:11.458083000',
           '2025-03-14T00:20:11.458083000', '2025-03-14T01:20:11.458083000',
           '2025-03-14T02:20:11.458083000', '2025-03-14T03:20:11.458083000',
           '2025-03-14T04:20:11.458083000', '2025-03-14T05:20:11.458083000',
           '2025-03-14T06:20:11.458083000', '2025-03-14T07:20:11.458083000',
           '2025-03-14T08:20:11.458083000', '2025-03-14T09:20:11.458083000',
           '2025-03-14T10:20:11.458083000', '2025-03-14T11:20:11.458083000',
           '2025-03-14T12:20:11.458083000', '2025-03-14T13:20:11.458083000',
           '2025-03-14T14:20:11.458083000', '2025-03-14T15:20:11.458083000',
           '2025-03-14T16:20:11.458083000', '2025-03-14T17:20:11.458083000',
           '2025-03-14T18:20:11.458083000', '2025-03-14T19:20:11.458083000',
           '2025-03-14T20:20:11.458083000', '2025-03-14T21:20:11.458083000',
           '2025-03-14T22:20:11.458083000', '2025-03-14T23:20:11.458083000',
           '2025-03-15T00:20:11.458083000', '2025-03-15T01:20:11.458083000',
           '2025-03-15T02:20:11.458083000', '2025-03-15T03:20:11.458083000',
           '2025-03-15T04:20:11.458083000', '2025-03-15T05:20:11.458083000',
           '2025-03-15T06:20:11.458083000', '2025-03-15T07:20:11.458083000',
           '2025-03-15T08:20:11.458083000', '2025-03-15T09:20:11.458083000',
           '2025-03-15T10:20:11.458083000', '2025-03-15T11:20:11.458083000',
           '2025-03-15T12:20:11.458083000', '2025-03-15T13:20:11.458083000',
           '2025-03-15T14:20:11.458083000'], 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 14.08 14.07 ... 12.78 12.76

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    12.300186

    maxval :

    14.228914

    array([[14.084752 , 14.078496 , 14.073181 , ..., 14.136572 , 14.137738 ,
            14.137476 ],
           [14.019218 , 14.013047 , 14.0079775, ..., 14.100223 , 14.101796 ,
            14.101705 ],
           [14.047049 , 14.041724 , 14.037116 , ..., 14.073764 , 14.073836 ,
            14.07241  ],
           ...,
           [13.055853 , 13.034967 , 13.02018  , ..., 12.859163 , 12.845187 ,
            12.826024 ],
           [13.005157 , 12.980683 , 12.965543 , ..., 12.943889 , 12.936134 ,
            12.924786 ],
           [13.002091 , 12.980503 , 12.96601  , ..., 12.799294 , 12.783984 ,
            12.764007 ]], dtype=float32)

  • lat
    (trajectory, time)
    float32
    68.11 68.1 68.1 ... 67.56 67.56

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    67.49972

    maxval :

    68.24402

    array([[68.10684 , 68.10342 , 68.09985 , ..., 68.04205 , 68.04164 ,
            68.0405  ],
           [68.09939 , 68.096245, 68.09305 , ..., 68.03345 , 68.03266 ,
            68.03114 ],
           [68.11965 , 68.11678 , 68.113655, ..., 68.05773 , 68.05699 ,
            68.05556 ],
           ...,
           [67.79944 , 67.7958  , 67.791916, ..., 67.57123 , 67.56599 ,
            67.55991 ],
           [67.82828 , 67.82937 , 67.831055, ..., 67.65322 , 67.64766 ,
            67.6421  ],
           [67.78542 , 67.78379 , 67.7821  , ..., 67.56767 , 67.56308 ,
            67.55771 ]], dtype=float32)

  • z
    (trajectory, time)
    float32
    -40.0 -48.91 ... -14.91 -20.15

    dtype :

    <class 'numpy.float32'>

    units :

    m

    standard_name :

    z

    long_name :

    vertical position

    axis :

    Z

    positive :

    up

    minval :

    -52.319687

    maxval :

    -0.00029777718

    array([[-40.        , -48.90686   , -44.919533  , ...,  -2.4768984 ,
             -1.2570381 ,  -0.70696473],
           [-40.        , -47.50609   , -47.633858  , ...,  -8.868567  ,
             -8.156164  , -29.593243  ],
           [-40.        , -24.691904  ,  -5.7747974 , ..., -16.344994  ,
             -8.239611  , -16.782671  ],
           ...,
           [-40.        , -38.51825   , -40.83467   , ..., -33.857742  ,
            -35.30532   , -39.712673  ],
           [-40.        , -26.676476  , -11.463898  , ..., -20.45278   ,
             -4.027328  , -11.116519  ],
           [-40.        , -36.64665   , -17.36109   , ..., -14.612403  ,
            -14.914903  , -20.153248  ]], 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
    -0.07235 -0.06148 ... -0.2365

    minval :

    -0.47398946

    maxval :

    0.56833

    array([[-0.07234832, -0.06147752, -0.0434476 , ...,  0.01352526,
            -0.00304145, -0.00304145],
           [-0.07139825, -0.05865066, -0.03849837, ...,  0.01826483,
            -0.00106601, -0.00106601],
           [-0.06154001, -0.05327415, -0.03904587, ...,  0.00084401,
            -0.01653515, -0.01653515],
           ...,
           [-0.24477038, -0.17332458, -0.07804312, ..., -0.16539258,
            -0.22684021, -0.22684021],
           [-0.2864125 , -0.1771705 , -0.01435903, ..., -0.09144475,
            -0.13386984, -0.13386984],
           [-0.25313166, -0.169952  , -0.05444974, ..., -0.18121053,
            -0.23650846, -0.23650846]], dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    -0.1062 -0.1104 ... -0.1662 -0.1662

    minval :

    -0.44048908

    maxval :

    0.47265676

    array([[-0.10623461, -0.1103983 , -0.11046208, ..., -0.01267794,
            -0.03545992, -0.03545992],
           [-0.09731925, -0.09899506, -0.09756266, ..., -0.02451721,
            -0.04690471, -0.04690471],
           [-0.08891441, -0.09695891, -0.1005342 , ..., -0.02296512,
            -0.04429975, -0.04429975],
           ...,
           [-0.11273114, -0.12023813, -0.1491817 , ..., -0.1622688 ,
            -0.1881978 , -0.1881978 ],
           [ 0.03376125,  0.05229071,  0.0245567 , ..., -0.17231701,
            -0.17225178, -0.17225178],
           [-0.0505117 , -0.05253512, -0.09086601, ..., -0.14247827,
            -0.16624726, -0.16624726]], dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    -0.2269 -0.7649 ... 0.7734 0.7734

    minval :

    -1.3769121

    maxval :

    1.1604216

    array([[-0.226874  , -0.76490957, -1.1788716 , ...,  1.1573963 ,
             0.9374511 ,  0.9374511 ],
           [-0.22708187, -0.7642207 , -1.1774285 , ...,  1.15478   ,
             0.93554556,  0.93554556],
           [-0.22543511, -0.76355684, -1.1778252 , ...,  1.1555005 ,
             0.93768007,  0.93768007],
           ...,
           [-0.23711126, -0.7414008 , -1.1263442 , ...,  0.9809155 ,
             0.7775334 ,  0.7775334 ],
           [-0.2248708 , -0.72673076, -1.1120771 , ...,  1.0031149 ,
             0.80519295,  0.80519295],
           [-0.23835023, -0.73868704, -1.1202291 , ...,  0.9748713 ,
             0.7733908 ,  0.7733908 ]], dtype=float32)

  • sea_surface_wave_significant_height
    (trajectory, time)
    float32
    2.307 2.269 2.117 ... 2.355 2.355

    minval :

    7.4509317e-06

    maxval :

    8.685977

    array([[2.3069031, 2.2693608, 2.1167169, ..., 0.8668004, 1.4340312,
            1.4340312],
           [2.2526286, 2.2613416, 2.4066947, ..., 0.8869939, 1.0989572,
            1.0989572],
           [2.0510087, 1.7844561, 1.7379777, ..., 2.8530636, 3.493037 ,
            3.493037 ],
           ...,
           [2.318197 , 2.374412 , 2.2350113, ..., 3.4069595, 3.9552555,
            3.9552555],
           [2.637243 , 2.6206558, 2.3487306, ..., 4.007767 , 5.717577 ,
            5.717577 ],
           [2.8564124, 2.7491004, 2.2858112, ..., 1.5287868, 2.3547592,
            2.3547592]], 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
    0.9167 1.307 1.287 ... 7.831 7.831

    minval :

    -10.342614

    maxval :

    13.31477

    array([[ 0.91666704,  1.3073694 ,  1.286954  , ...,  5.3732376 ,
             5.731202  ,  5.731202  ],
           [ 1.5258362 ,  2.569351  ,  3.1945052 , ...,  5.7342024 ,
             6.0765305 ,  6.0765305 ],
           [ 2.462056  ,  2.9969711 ,  3.1354487 , ...,  9.201424  ,
             8.960288  ,  8.960288  ],
           ...,
           [ 0.3450552 ,  1.3872896 ,  1.257009  , ...,  9.813343  ,
             9.7541895 ,  9.7541895 ],
           [-0.22050942,  1.5805306 ,  0.89734185, ...,  9.4483185 ,
            11.0148735 , 11.0148735 ],
           [ 0.84342235,  2.8938398 ,  2.0944054 , ...,  6.6270313 ,
             7.8307753 ,  7.8307753 ]], dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    -9.64 -9.515 ... -5.865 -5.865

    minval :

    -17.884398

    maxval :

    5.562365

    array([[ -9.640346 ,  -9.515316 ,  -9.186357 , ...,  -2.522718 ,
             -5.0445294,  -5.0445294],
           [ -9.446804 ,  -9.23704  ,  -9.360997 , ...,  -1.7820174,
             -2.7836733,  -2.7836733],
           [ -8.792759 ,  -7.972266 ,  -7.7986197, ...,  -5.5957127,
             -7.855356 ,  -7.855356 ],
           ...,
           [ -9.70137  ,  -9.72606  ,  -9.448495 , ...,  -6.495583 ,
             -8.101762 ,  -8.101762 ],
           [-10.351637 , -10.199639 ,  -9.729935 , ...,  -8.581764 ,
            -10.540132 , -10.540132 ],
           [-10.742578 , -10.167485 ,  -9.409178 , ...,  -4.2694564,
             -5.865227 ,  -5.865227 ]], 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 93.17 94.74 ... 214.9 214.9

    minval :

    50.004013

    maxval :

    266.40112

    array([[ 91.5983  ,  93.16803 ,  94.73689 , ..., 190.71365 , 192.01956 ,
            192.01956 ],
           [ 94.49078 ,  94.4138  ,  94.412964, ..., 178.67928 , 181.06946 ,
            181.06946 ],
           [ 86.55411 ,  88.064445,  89.72873 , ..., 110.18518 , 111.905304,
            111.905304],
           ...,
           [131.81073 , 127.02048 , 124.37677 , ..., 221.98053 , 221.94885 ,
            221.94885 ],
           [ 97.5854  ,  88.7011  ,  82.7085  , ..., 199.2988  , 202.7731  ,
            202.7731  ],
           [122.13025 , 115.35559 , 111.130844, ..., 215.32898 , 214.89536 ,
            214.89536 ]], 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(['2025-03-13 14:20:11.458083', '2025-03-13 15:20:11.458083',
                   '2025-03-13 16:20:11.458083', '2025-03-13 17:20:11.458083',
                   '2025-03-13 18:20:11.458083', '2025-03-13 19:20:11.458083',
                   '2025-03-13 20:20:11.458083', '2025-03-13 21:20:11.458083',
                   '2025-03-13 22:20:11.458083', '2025-03-13 23:20:11.458083',
                   '2025-03-14 00:20:11.458083', '2025-03-14 01:20:11.458083',
                   '2025-03-14 02:20:11.458083', '2025-03-14 03:20:11.458083',
                   '2025-03-14 04:20:11.458083', '2025-03-14 05:20:11.458083',
                   '2025-03-14 06:20:11.458083', '2025-03-14 07:20:11.458083',
                   '2025-03-14 08:20:11.458083', '2025-03-14 09:20:11.458083',
                   '2025-03-14 10:20:11.458083', '2025-03-14 11:20:11.458083',
                   '2025-03-14 12:20:11.458083', '2025-03-14 13:20:11.458083',
                   '2025-03-14 14:20:11.458083', '2025-03-14 15:20:11.458083',
                   '2025-03-14 16:20:11.458083', '2025-03-14 17:20:11.458083',
                   '2025-03-14 18:20:11.458083', '2025-03-14 19:20:11.458083',
                   '2025-03-14 20:20:11.458083', '2025-03-14 21:20:11.458083',
                   '2025-03-14 22:20:11.458083', '2025-03-14 23:20:11.458083',
                   '2025-03-15 00:20:11.458083', '2025-03-15 01:20:11.458083',
                   '2025-03-15 02:20:11.458083', '2025-03-15 03:20:11.458083',
                   '2025-03-15 04:20:11.458083', '2025-03-15 05:20:11.458083',
                   '2025-03-15 06:20:11.458083', '2025-03-15 07:20:11.458083',
                   '2025-03-15 08:20:11.458083', '2025-03-15 09:20:11.458083',
                   '2025-03-15 10:20:11.458083', '2025-03-15 11:20:11.458083',
                   '2025-03-15 12:20:11.458083', '2025-03-15 13:20:11.458083',
                   '2025-03-15 14:20:11.458083'],
                  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 2025-03-13 14:20:15.768631

  date_created :

  2025-03-13T14:20:15.768648

  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 :

  2025-03-13 14:20:11.458083

  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 :

  1.13.0

  seed_geojson :

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

  simulation_time :

  2025-03-13 14:20:15.775145

  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 :

  2025-03-15 14:20:11.458083

  time_coverage_duration :

  P2DT0H0M0S

  time_coverage_resolution :

  P0DT1H0M0S

  performance :

  -------------------- Reader performance: -------------------- global_landmask 0:00:01.6 total 0:00:00.0 preparing 0:00:01.6 reading 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml 0:00:57.9 total 0:00:00.0 preparing 0:00:57.4 reading 0:00:00.0 interpolation 0:00:00.0 interpolation_time 0:00:00.4 rotating vectors 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc 0:01:15.2 total 0:00:00.0 preparing 0:01:14.7 reading 0:00:00.9 interpolation 0:00:00.0 interpolation_time 0:00:00.4 rotating vectors 0:00:00.0 masking -------------------- Performance: 2:30.8 total time 4.4 configuration 0.0 preparing main loop 0.0 moving elements to ocean 2:26.3 main loop 3.5 updating elements 3.4 vertical mixing 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  67.49972

  geospatial_lat_max :

  68.24402

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  12.300186

  geospatial_lon_max :

  14.228914

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:02:30.843647

  geospatial_vertical_min :

  -52.319687

  geospatial_vertical_max :

  -0.00029777718

  geospatial_vertical_positive :

  up

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

print(o)

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

===========================
--------------------
Reader performance:
--------------------
global_landmask
 0:00:01.6  total
 0:00:00.0  preparing
 0:00:01.6  reading
 0:00:00.0  masking
--------------------
https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
 0:00:57.9  total
 0:00:00.0  preparing
 0:00:57.4  reading
 0:00:00.0  interpolation
 0:00:00.0  interpolation_time
 0:00:00.4  rotating vectors
 0:00:00.0  masking
--------------------
https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc
 0:01:15.2  total
 0:00:00.0  preparing
 0:01:14.7  reading
 0:00:00.9  interpolation
 0:00:00.0  interpolation_time
 0:00:00.4  rotating vectors
 0:00:00.0  masking
--------------------
Performance:
 2:30.8 total time
    4.4 configuration
    0.0 preparing main loop
      0.0 moving elements to ocean
 2:26.3 main loop
      3.5 updating elements
        3.4 vertical mixing
    0.0 cleaning up
--------------------
===========================
Model:  PelagicEggDrift     (OpenDrift version 1.13.0)
        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: 2025-03-13 14:20:11.458083 UTC
        Present: 2025-03-15 14:20:11.458083 UTC
        Calculation steps: 48 * 1:00:00 - total time: 2 days, 0:00:00
        Output steps: 49 * 1:00:00
===========================

14:22:42 WARNING opendrift:2429: Plotting fast. This will make your plots less accurate.
14:22:50 WARNING opendrift:2429: Plotting fast. This will make your plots less accurate.
14:22:51 INFO    opendrift:4600: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_0.gif...
14:23:23 INFO    opendrift:3036: Time to make animation: 0:00:33.661307

o.animate_vertical_distribution()

14:23:25 INFO    opendrift:4600: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_1.gif...
14:23:35 INFO    opendrift.models.oceandrift:619: Time to make animation: 0:00:10.683407