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'])

10:42:06 INFO    opendrift:509: OpenDriftSimulation initialised (version 1.13.1 / v1.13.1-25-g5021161)

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)

10:42:06 INFO    opendrift.models.basemodel.environment:206: Adding a global landmask from GSHHG
10:42:11 INFO    opendrift.models.basemodel.environment:229: Fallback values will be used for the following variables which have no readers:
10:42:11 INFO    opendrift.models.basemodel.environment:232:    x_sea_water_velocity: 0.000000
10:42:11 INFO    opendrift.models.basemodel.environment:232:    y_sea_water_velocity: 0.000000
10:42:11 INFO    opendrift.models.basemodel.environment:232:    sea_surface_height: 0.000000
10:42:11 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_significant_height: 0.000000
10:42:11 INFO    opendrift.models.basemodel.environment:232:    sea_ice_area_fraction: 0.000000
10:42:11 INFO    opendrift.models.basemodel.environment:232:    x_wind: 0.000000
10:42:11 INFO    opendrift.models.basemodel.environment:232:    y_wind: 0.000000
10:42:11 INFO    opendrift.models.basemodel.environment:232:    sea_floor_depth_below_sea_level: 100.000000
10:42:11 INFO    opendrift.models.basemodel.environment:232:    ocean_vertical_diffusivity: 0.020000
10:42:11 INFO    opendrift.models.basemodel.environment:232:    ocean_mixed_layer_thickness: 50.000000
10:42:11 INFO    opendrift.models.basemodel.environment:232:    sea_water_temperature: 10.000000
10:42:11 INFO    opendrift.models.basemodel.environment:232:    sea_water_salinity: 34.000000
10:42:11 INFO    opendrift.models.basemodel.environment:232:    surface_downward_x_stress: 0.000000
10:42:11 INFO    opendrift.models.basemodel.environment:232:    surface_downward_y_stress: 0.000000
10:42:11 INFO    opendrift.models.basemodel.environment:232:    turbulent_kinetic_energy: 0.000000
10:42:11 INFO    opendrift.models.basemodel.environment:232:    turbulent_generic_length_scale: 0.000000
10:42:11 INFO    opendrift.models.basemodel.environment:232:    upward_sea_water_velocity: 0.000000

Running model

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

10:42:11 INFO    opendrift:923: Using existing reader for land_binary_mask
10:42:11 INFO    opendrift:934: All points are in ocean
10:42:11 INFO    opendrift:2060: 2025-04-22 10:42:06.953793 - step 1 of 48 - 2000 active elements (0 deactivated)
10:42:11 INFO    opendrift.readers:61: Opening file with xr.open_dataset
10:42:34 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'x': 'x', 'y': 'y', 'time': 'time'}
10:42:34 INFO    opendrift.readers:61: Opening file with xr.open_dataset
10:42:35 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'time': 'time', 'x': 'x', 'y': 'y'}
10:42:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:42:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:42:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:42:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:42:38 INFO    opendrift:2060: 2025-04-22 11:42:06.953793 - step 2 of 48 - 2000 active elements (0 deactivated)
10:42:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:42:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:42:41 INFO    opendrift:2060: 2025-04-22 12:42:06.953793 - step 3 of 48 - 2000 active elements (0 deactivated)
10:42:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:42:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:42:45 INFO    opendrift:2060: 2025-04-22 13:42:06.953793 - step 4 of 48 - 2000 active elements (0 deactivated)
10:42:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:42:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:42:47 INFO    opendrift:2060: 2025-04-22 14:42:06.953793 - step 5 of 48 - 2000 active elements (0 deactivated)
10:42:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:42:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:42:50 INFO    opendrift:2060: 2025-04-22 15:42:06.953793 - step 6 of 48 - 2000 active elements (0 deactivated)
10:42:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:42:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:42:52 INFO    opendrift:2060: 2025-04-22 16:42:06.953793 - step 7 of 48 - 2000 active elements (0 deactivated)
10:42:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:42:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:42:54 INFO    opendrift:2060: 2025-04-22 17:42:06.953793 - step 8 of 48 - 2000 active elements (0 deactivated)
10:42:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:42:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:42:56 INFO    opendrift:2060: 2025-04-22 18:42:06.953793 - step 9 of 48 - 2000 active elements (0 deactivated)
10:42:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:42:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:42:59 INFO    opendrift:2060: 2025-04-22 19:42:06.953793 - step 10 of 48 - 2000 active elements (0 deactivated)
10:43:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:01 INFO    opendrift:2060: 2025-04-22 20:42:06.953793 - step 11 of 48 - 2000 active elements (0 deactivated)
10:43:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:03 INFO    opendrift:2060: 2025-04-22 21:42:06.953793 - step 12 of 48 - 2000 active elements (0 deactivated)
10:43:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:05 INFO    opendrift:2060: 2025-04-22 22:42:06.953793 - step 13 of 48 - 2000 active elements (0 deactivated)
10:43:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:08 INFO    opendrift:2060: 2025-04-22 23:42:06.953793 - step 14 of 48 - 2000 active elements (0 deactivated)
10:43:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:11 INFO    opendrift:2060: 2025-04-23 00:42:06.953793 - step 15 of 48 - 2000 active elements (0 deactivated)
10:43:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:14 INFO    opendrift:2060: 2025-04-23 01:42:06.953793 - step 16 of 48 - 2000 active elements (0 deactivated)
10:43:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:16 INFO    opendrift:2060: 2025-04-23 02:42:06.953793 - step 17 of 48 - 2000 active elements (0 deactivated)
10:43:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:19 INFO    opendrift:2060: 2025-04-23 03:42:06.953793 - step 18 of 48 - 2000 active elements (0 deactivated)
10:43:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:22 INFO    opendrift:2060: 2025-04-23 04:42:06.953793 - step 19 of 48 - 2000 active elements (0 deactivated)
10:43:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:25 INFO    opendrift:2060: 2025-04-23 05:42:06.953793 - step 20 of 48 - 2000 active elements (0 deactivated)
10:43:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:28 INFO    opendrift:2060: 2025-04-23 06:42:06.953793 - step 21 of 48 - 2000 active elements (0 deactivated)
10:43:30 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:30 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:31 INFO    opendrift:2060: 2025-04-23 07:42:06.953793 - step 22 of 48 - 2000 active elements (0 deactivated)
10:43:33 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:33 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:33 INFO    opendrift:2060: 2025-04-23 08:42:06.953793 - step 23 of 48 - 2000 active elements (0 deactivated)
10:43:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:36 INFO    opendrift:2060: 2025-04-23 09:42:06.953793 - step 24 of 48 - 2000 active elements (0 deactivated)
10:43:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:39 INFO    opendrift:2060: 2025-04-23 10:42:06.953793 - step 25 of 48 - 2000 active elements (0 deactivated)
10:43:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:41 INFO    opendrift:2060: 2025-04-23 11:42:06.953793 - step 26 of 48 - 2000 active elements (0 deactivated)
10:43:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:44 INFO    opendrift:2060: 2025-04-23 12:42:06.953793 - step 27 of 48 - 2000 active elements (0 deactivated)
10:43:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:47 INFO    opendrift:2060: 2025-04-23 13:42:06.953793 - step 28 of 48 - 2000 active elements (0 deactivated)
10:43:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:50 INFO    opendrift:2060: 2025-04-23 14:42:06.953793 - step 29 of 48 - 2000 active elements (0 deactivated)
10:43:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:53 INFO    opendrift:2060: 2025-04-23 15:42:06.953793 - step 30 of 48 - 2000 active elements (0 deactivated)
10:43:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:56 INFO    opendrift:2060: 2025-04-23 16:42:06.953793 - step 31 of 48 - 2000 active elements (0 deactivated)
10:43:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:43:59 INFO    opendrift:2060: 2025-04-23 17:42:06.953793 - step 32 of 48 - 2000 active elements (0 deactivated)
10:44:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:01 INFO    opendrift:2060: 2025-04-23 18:42:06.953793 - step 33 of 48 - 2000 active elements (0 deactivated)
10:44:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:05 INFO    opendrift:2060: 2025-04-23 19:42:06.953793 - step 34 of 48 - 2000 active elements (0 deactivated)
10:44:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:08 INFO    opendrift:2060: 2025-04-23 20:42:06.953793 - step 35 of 48 - 2000 active elements (0 deactivated)
10:44:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:11 INFO    opendrift:2060: 2025-04-23 21:42:06.953793 - step 36 of 48 - 2000 active elements (0 deactivated)
10:44:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:14 INFO    opendrift:2060: 2025-04-23 22:42:06.953793 - step 37 of 48 - 2000 active elements (0 deactivated)
10:44:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:17 INFO    opendrift:2060: 2025-04-23 23:42:06.953793 - step 38 of 48 - 2000 active elements (0 deactivated)
10:44:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:19 INFO    opendrift:2060: 2025-04-24 00:42:06.953793 - step 39 of 48 - 2000 active elements (0 deactivated)
10:44:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:23 INFO    opendrift:2060: 2025-04-24 01:42:06.953793 - step 40 of 48 - 2000 active elements (0 deactivated)
10:44:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:26 INFO    opendrift:2060: 2025-04-24 02:42:06.953793 - step 41 of 48 - 2000 active elements (0 deactivated)
10:44:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:29 INFO    opendrift:2060: 2025-04-24 03:42:06.953793 - step 42 of 48 - 2000 active elements (0 deactivated)
10:44:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:32 INFO    opendrift:2060: 2025-04-24 04:42:06.953793 - step 43 of 48 - 2000 active elements (0 deactivated)
10:44:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:34 INFO    opendrift:2060: 2025-04-24 05:42:06.953793 - step 44 of 48 - 2000 active elements (0 deactivated)
10:44:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:37 INFO    opendrift:2060: 2025-04-24 06:42:06.953793 - step 45 of 48 - 2000 active elements (0 deactivated)
10:44:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:40 INFO    opendrift:2060: 2025-04-24 07:42:06.953793 - step 46 of 48 - 2000 active elements (0 deactivated)
10:44:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:43 INFO    opendrift:2060: 2025-04-24 08:42:06.953793 - step 47 of 48 - 2000 active elements (0 deactivated)
10:44:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:45 INFO    opendrift:2060: 2025-04-24 09:42:06.953793 - step 48 of 48 - 2000 active elements (0 deactivated)
10:44:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
10:44:48 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 2025-04-2...
Data variables: (12/32)
    status                               (trajectory, time) float32 392kB 0.0...
    moving                               (trajectory, time) float32 392kB 1.0...
    age_seconds                          (trajectory, time) float32 392kB 0.0...
    origin_marker                        (trajectory, time) float32 392kB 0.0...
    lon                                  (trajectory, time) float32 392kB 14....
    lat                                  (trajectory, time) float32 392kB 68....
    ...                                   ...
    sea_water_salinity                   (trajectory, time) float32 392kB 34....
    surface_downward_x_stress            (trajectory, time) float32 392kB 0.0...
    surface_downward_y_stress            (trajectory, time) float32 392kB 0.0...
    turbulent_kinetic_energy             (trajectory, time) float32 392kB 0.0...
    turbulent_generic_length_scale       (trajectory, time) float32 392kB 0.0...
    upward_sea_water_velocity            (trajectory, time) float32 392kB 0.0...
Attributes: (12/136)
    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:                                                          0:02:42...
    geospatial_vertical_min:                                          -52.32173
    geospatial_vertical_max:                                          -5.4472...
    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]
    2025-04-22T10:42:06.953793 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2025-04-22T10:42:06.953793000', '2025-04-22T11:42:06.953793000',
           '2025-04-22T12:42:06.953793000', '2025-04-22T13:42:06.953793000',
           '2025-04-22T14:42:06.953793000', '2025-04-22T15:42:06.953793000',
           '2025-04-22T16:42:06.953793000', '2025-04-22T17:42:06.953793000',
           '2025-04-22T18:42:06.953793000', '2025-04-22T19:42:06.953793000',
           '2025-04-22T20:42:06.953793000', '2025-04-22T21:42:06.953793000',
           '2025-04-22T22:42:06.953793000', '2025-04-22T23:42:06.953793000',
           '2025-04-23T00:42:06.953793000', '2025-04-23T01:42:06.953793000',
           '2025-04-23T02:42:06.953793000', '2025-04-23T03:42:06.953793000',
           '2025-04-23T04:42:06.953793000', '2025-04-23T05:42:06.953793000',
           '2025-04-23T06:42:06.953793000', '2025-04-23T07:42:06.953793000',
           '2025-04-23T08:42:06.953793000', '2025-04-23T09:42:06.953793000',
           '2025-04-23T10:42:06.953793000', '2025-04-23T11:42:06.953793000',
           '2025-04-23T12:42:06.953793000', '2025-04-23T13:42:06.953793000',
           '2025-04-23T14:42:06.953793000', '2025-04-23T15:42:06.953793000',
           '2025-04-23T16:42:06.953793000', '2025-04-23T17:42:06.953793000',
           '2025-04-23T18:42:06.953793000', '2025-04-23T19:42:06.953793000',
           '2025-04-23T20:42:06.953793000', '2025-04-23T21:42:06.953793000',
           '2025-04-23T22:42:06.953793000', '2025-04-23T23:42:06.953793000',
           '2025-04-24T00:42:06.953793000', '2025-04-24T01:42:06.953793000',
           '2025-04-24T02:42:06.953793000', '2025-04-24T03:42:06.953793000',
           '2025-04-24T04:42:06.953793000', '2025-04-24T05:42:06.953793000',
           '2025-04-24T06:42:06.953793000', '2025-04-24T07:42:06.953793000',
           '2025-04-24T08:42:06.953793000', '2025-04-24T09:42:06.953793000',
           '2025-04-24T10:42:06.953793000'], 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 14.08 ... 12.57 12.54

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    12.053511

    maxval :

    14.129527

    array([[14.084752 , 14.081236 , 14.078627 , ..., 14.045322 , 14.044978 ,
            14.043069 ],
           [14.019218 , 14.015765 , 14.013146 , ..., 13.998111 , 13.998263 ,
            13.996781 ],
           [14.047049 , 14.043628 , 14.040922 , ..., 14.020602 , 14.020761 ,
            14.019852 ],
           ...,
           [13.055853 , 13.0416565, 13.031009 , ..., 12.702779 , 12.685539 ,
            12.666615 ],
           [13.005157 , 12.993436 , 12.987928 , ..., 12.830415 , 12.8104105,
            12.786092 ],
           [13.002091 , 12.988611 , 12.979557 , ..., 12.595114 , 12.566486 ,
            12.536188 ]], dtype=float32)

  • lat
    (trajectory, time)
    float32
    68.11 68.11 68.1 ... 67.66 67.67

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    67.51884

    maxval :

    68.18386

    array([[68.10684 , 68.10548 , 68.10385 , ..., 68.05134 , 68.05039 ,
            68.049446],
           [68.09939 , 68.09813 , 68.09668 , ..., 68.052605, 68.05177 ,
            68.05093 ],
           [68.11965 , 68.11838 , 68.116844, ..., 68.07898 , 68.07881 ,
            68.07865 ],
           ...,
           [67.79944 , 67.79503 , 67.78999 , ..., 67.60253 , 67.59912 ,
            67.59734 ],
           [67.82828 , 67.82603 , 67.82293 , ..., 67.73126 , 67.72887 ,
            67.73084 ],
           [67.78542 , 67.78176 , 67.77717 , ..., 67.66124 , 67.660355,
            67.66528 ]], dtype=float32)

  • z
    (trajectory, time)
    float32
    -40.0 -45.13 ... -14.63 -16.27

    dtype :

    <class 'numpy.float32'>

    units :

    m

    standard_name :

    z

    long_name :

    vertical position

    axis :

    Z

    positive :

    up

    minval :

    -52.32173

    maxval :

    -5.4472723e-05

    array([[-40.        , -45.128223  , -43.53553   , ...,  -2.8044238 ,
             -1.24469   ,  -0.68295854],
           [-40.        , -46.82761   , -47.90382   , ...,  -7.898669  ,
             -8.102144  , -30.961855  ],
           [-40.        , -26.703068  ,  -8.61655   , ..., -10.695583  ,
             -3.8820891 ,  -8.004231  ],
           ...,
           [-40.        , -38.409966  , -41.88485   , ..., -19.25397   ,
            -19.927803  , -22.82391   ],
           [-40.        , -26.947905  ,  -9.069836  , ..., -13.2617445 ,
             -1.8559557 ,  -6.830909  ],
           [-40.        , -40.35631   , -21.93453   , ..., -15.525679  ,
            -14.63394   , -16.27015   ]], 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
    -0.04066 -0.03017 ... -0.3571

    minval :

    -0.4730908

    maxval :

    0.48575866

    array([[-0.04066332, -0.03017102, -0.02182757, ..., -0.00398432,
            -0.0221363 , -0.0221363 ],
           [-0.03994676, -0.03029679, -0.02211763, ...,  0.00177177,
            -0.01717545, -0.01717545],
           [-0.03953474, -0.03127329, -0.02459324, ...,  0.00183576,
            -0.01052034, -0.01052034],
           ...,
           [-0.16638112, -0.12481676, -0.09083462, ..., -0.2037283 ,
            -0.22366685, -0.22366685],
           [-0.1371948 , -0.06446801, -0.00447524, ..., -0.23510556,
            -0.28579518, -0.28579518],
           [-0.15807594, -0.10618888, -0.06616987, ..., -0.33743933,
            -0.35706148, -0.35706148]], dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    -0.04222 -0.0505 ... 0.1526 0.1526

    minval :

    -0.43757242

    maxval :

    0.51978153

    array([[-0.04221791, -0.05050357, -0.05421443, ..., -0.02930456,
            -0.02947654, -0.02947654],
           [-0.03903272, -0.04487986, -0.0471606 , ..., -0.02571065,
            -0.02633359, -0.02633359],
           [-0.03937601, -0.047716  , -0.05114937, ..., -0.00536186,
            -0.00479942, -0.00479942],
           ...,
           [-0.13665594, -0.15591332, -0.1778729 , ..., -0.10547803,
            -0.05514555, -0.05514555],
           [-0.06961509, -0.09595618, -0.13534075, ..., -0.07430097,
             0.06125071,  0.06125071],
           [-0.1133776 , -0.14241177, -0.17870696, ..., -0.02721705,
             0.15263587,  0.15263587]], dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    -0.8282 -1.0 ... 0.03922 0.03922

    minval :

    -1.3070297

    maxval :

    0.3091168

    array([[-0.8282227 , -1.0003201 , -1.0513798 , ...,  0.30669826,
             0.14477056,  0.14477056],
           [-0.8267473 , -0.99853206, -1.0498546 , ...,  0.305965  ,
             0.14466584,  0.14466584],
           [-0.8274076 , -0.9995679 , -1.0511551 , ...,  0.3076167 ,
             0.14687051,  0.14687051],
           ...,
           [-0.8139256 , -0.97616494, -1.0290344 , ...,  0.1984582 ,
             0.03715644,  0.03715644],
           [-0.80404675, -0.9681511 , -1.023974  , ...,  0.22308204,
             0.06602272,  0.06602272],
           [-0.81236887, -0.9734793 , -1.0260006 , ...,  0.20031609,
             0.03921623,  0.03921623]], dtype=float32)

  • sea_surface_wave_significant_height
    (trajectory, time)
    float32
    0.8081 1.439 ... 0.4752 0.4752

    minval :

    6.250975e-05

    maxval :

    8.010752

    array([[0.8080588 , 1.4387459 , 1.8271241 , ..., 0.8176988 , 0.25467554,
            0.25467554],
           [1.9316441 , 2.3668437 , 2.7366264 , ..., 0.8661899 , 1.3139172 ,
            1.3139172 ],
           [1.3765233 , 1.486751  , 1.5790545 , ..., 0.5557912 , 0.2380976 ,
            0.2380976 ],
           ...,
           [2.1141145 , 2.1986587 , 2.1310909 , ..., 2.4177864 , 2.5089087 ,
            2.5089087 ],
           [1.8048662 , 2.0722775 , 2.2365713 , ..., 1.5081774 , 1.665004  ,
            1.665004  ],
           [1.8891325 , 2.3361228 , 2.6619725 , ..., 0.54882   , 0.47517508,
            0.47517508]], 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
    -2.644 -2.362 ... 3.743 3.743

    minval :

    -8.359144

    maxval :

    15.175

    array([[-2.6437116 , -2.362043  , -2.4881442 , ...,  5.491491  ,
             2.9776523 ,  2.9776523 ],
           [-2.5122502 , -2.8289998 , -3.337137  , ..., -0.9502795 ,
             0.3896775 ,  0.3896775 ],
           [-1.479554  , -1.4509275 , -1.994854  , ...,  1.8614466 ,
             0.80543166,  0.80543166],
           ...,
           [-3.027069  , -2.4824963 , -2.12704   , ...,  9.058102  ,
            10.09891   , 10.09891   ],
           [-3.073788  , -2.9372141 , -3.2036872 , ...,  7.7221246 ,
             7.057204  ,  7.057204  ],
           [-3.2810817 , -3.693328  , -4.0493712 , ...,  3.6615195 ,
             3.7430425 ,  3.7430425 ]], dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    -5.085 -7.274 ... -2.303 -2.303

    minval :

    -15.573512

    maxval :

    8.780949

    array([[ -5.085146  ,  -7.273676  ,  -8.25121   , ...,   1.7559365 ,
             -1.2191193 ,  -1.2191193 ],
           [ -8.497689  ,  -9.392014  , -10.005424  , ...,   5.857298  ,
              7.2979054 ,   7.2979054 ],
           [ -7.3326087 ,  -7.6375284 ,  -7.7594957 , ...,   4.3735747 ,
              3.0050032 ,   3.0050032 ],
           ...,
           [ -8.7622175 ,  -9.1221485 ,  -9.061204  , ...,   4.029243  ,
              0.01326125,   0.01326125],
           [ -7.9950223 ,  -8.695498  ,  -8.980753  , ...,  -1.294919  ,
             -4.2283535 ,  -4.2283535 ],
           [ -8.1257925 ,  -9.017963  ,  -9.5819025 , ...,  -2.9837947 ,
             -2.303409  ,  -2.303409  ]], 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 92.24 92.98 ... 31.52 31.52

    minval :

    25.128548

    maxval :

    230.0296

    array([[ 91.5983  ,  92.23982 ,  92.97892 , ..., 106.22954 , 107.92151 ,
            107.92151 ],
           [ 94.49078 ,  94.37023 ,  94.354774, ...,  94.710106,  94.832245,
             94.832245],
           [ 86.55411 ,  87.23503 ,  88.04811 , ...,  97.37791 ,  97.385925,
             97.385925],
           ...,
           [131.81073 , 129.67644 , 128.95401 , ..., 173.42636 , 171.56805 ,
            171.56805 ],
           [ 97.5854  ,  95.10323 ,  95.24751 , ...,  82.93018 ,  73.287926,
             73.287926],
           [122.13024 , 119.35837 , 118.67088 , ...,  32.894417,  31.521591,
             31.521591]], 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(['2025-04-22 10:42:06.953793', '2025-04-22 11:42:06.953793',
                   '2025-04-22 12:42:06.953793', '2025-04-22 13:42:06.953793',
                   '2025-04-22 14:42:06.953793', '2025-04-22 15:42:06.953793',
                   '2025-04-22 16:42:06.953793', '2025-04-22 17:42:06.953793',
                   '2025-04-22 18:42:06.953793', '2025-04-22 19:42:06.953793',
                   '2025-04-22 20:42:06.953793', '2025-04-22 21:42:06.953793',
                   '2025-04-22 22:42:06.953793', '2025-04-22 23:42:06.953793',
                   '2025-04-23 00:42:06.953793', '2025-04-23 01:42:06.953793',
                   '2025-04-23 02:42:06.953793', '2025-04-23 03:42:06.953793',
                   '2025-04-23 04:42:06.953793', '2025-04-23 05:42:06.953793',
                   '2025-04-23 06:42:06.953793', '2025-04-23 07:42:06.953793',
                   '2025-04-23 08:42:06.953793', '2025-04-23 09:42:06.953793',
                   '2025-04-23 10:42:06.953793', '2025-04-23 11:42:06.953793',
                   '2025-04-23 12:42:06.953793', '2025-04-23 13:42:06.953793',
                   '2025-04-23 14:42:06.953793', '2025-04-23 15:42:06.953793',
                   '2025-04-23 16:42:06.953793', '2025-04-23 17:42:06.953793',
                   '2025-04-23 18:42:06.953793', '2025-04-23 19:42:06.953793',
                   '2025-04-23 20:42:06.953793', '2025-04-23 21:42:06.953793',
                   '2025-04-23 22:42:06.953793', '2025-04-23 23:42:06.953793',
                   '2025-04-24 00:42:06.953793', '2025-04-24 01:42:06.953793',
                   '2025-04-24 02:42:06.953793', '2025-04-24 03:42:06.953793',
                   '2025-04-24 04:42:06.953793', '2025-04-24 05:42:06.953793',
                   '2025-04-24 06:42:06.953793', '2025-04-24 07:42:06.953793',
                   '2025-04-24 08:42:06.953793', '2025-04-24 09:42:06.953793',
                   '2025-04-24 10:42:06.953793'],
                  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 2025-04-22 10:42:11.095809

  date_created :

  2025-04-22T10:42:11.095825

  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 :

  2025-04-22 10:42:06.953793

  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 :

  2025-04-22 10:42:11.206566

  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 :

  2025-04-24 10:42:06.953793

  time_coverage_duration :

  P2DT0H0M0S

  time_coverage_resolution :

  P0DT1H0M0S

  performance :

  -------------------- Reader performance: -------------------- global_landmask 0:00:01.5 total 0:00:00.0 preparing 0:00:01.5 reading 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml 0:01:02.7 total 0:00:00.0 preparing 0:01:02.3 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 0:01:04.2 total 0:00:00.0 preparing 0:01:03.8 reading 0:00:00.9 interpolation 0:00:00.0 interpolation_time 0:00:00.4 rotating vectors 0:00:00.0 masking -------------------- Performance: 2:42.2 total time 4.3 configuration 0.1 preparing main loop 0.0 moving elements to ocean 2:37.7 main loop 3.1 updating elements 3.0 vertical mixing 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  67.51884

  geospatial_lat_max :

  68.18386

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  12.053511

  geospatial_lon_max :

  14.129527

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:02:42.272633

  geospatial_vertical_min :

  -52.32173

  geospatial_vertical_max :

  -5.4472723e-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
 0:00:01.5  total
 0:00:00.0  preparing
 0:00:01.5  reading
 0:00:00.0  masking
--------------------
https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
 0:01:02.7  total
 0:00:00.0  preparing
 0:01:02.3  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
 0:01:04.2  total
 0:00:00.0  preparing
 0:01:03.8  reading
 0:00:00.9  interpolation
 0:00:00.0  interpolation_time
 0:00:00.4  rotating vectors
 0:00:00.0  masking
--------------------
Performance:
 2:42.2 total time
    4.3 configuration
    0.1 preparing main loop
      0.0 moving elements to ocean
 2:37.7 main loop
      3.1 updating elements
        3.0 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: 2025-04-22 10:42:06.953793 UTC
        Present: 2025-04-24 10:42:06.953793 UTC
        Calculation steps: 48 * 1:00:00 - total time: 2 days, 0:00:00
        Output steps: 49 * 1:00:00
===========================

10:44:49 WARNING opendrift:2436: Plotting fast. This will make your plots less accurate.
10:44:55 WARNING opendrift:2436: Plotting fast. This will make your plots less accurate.
10:44:56 INFO    opendrift:4607: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_0.gif...
10:45:26 INFO    opendrift:3043: Time to make animation: 0:00:30.857598

o.animate_vertical_distribution()

10:45:27 INFO    opendrift:4607: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_1.gif...
10:45:38 INFO    opendrift.models.oceandrift:619: Time to make animation: 0:00:10.266492