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'])

17:26:28 INFO    opendrift:513: OpenDriftSimulation initialised (version 1.14.2 / v1.14.2-88-gf09b7bd)

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.now()
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)

17:26:28 INFO    opendrift.models.basemodel.environment:206: Adding a global landmask from GSHHG
17:26:33 INFO    opendrift.models.basemodel.environment:229: Fallback values will be used for the following variables which have no readers:
17:26:33 INFO    opendrift.models.basemodel.environment:232:    x_sea_water_velocity: 0.000000
17:26:33 INFO    opendrift.models.basemodel.environment:232:    y_sea_water_velocity: 0.000000
17:26:33 INFO    opendrift.models.basemodel.environment:232:    sea_surface_height: 0.000000
17:26:33 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_significant_height: 0.000000
17:26:33 INFO    opendrift.models.basemodel.environment:232:    sea_ice_area_fraction: 0.000000
17:26:33 INFO    opendrift.models.basemodel.environment:232:    x_wind: 0.000000
17:26:33 INFO    opendrift.models.basemodel.environment:232:    y_wind: 0.000000
17:26:33 INFO    opendrift.models.basemodel.environment:232:    sea_floor_depth_below_sea_level: 100.000000
17:26:33 INFO    opendrift.models.basemodel.environment:232:    ocean_vertical_diffusivity: 0.020000
17:26:33 INFO    opendrift.models.basemodel.environment:232:    ocean_mixed_layer_thickness: 50.000000
17:26:33 INFO    opendrift.models.basemodel.environment:232:    sea_water_temperature: 10.000000
17:26:33 INFO    opendrift.models.basemodel.environment:232:    sea_water_salinity: 34.000000
17:26:33 INFO    opendrift.models.basemodel.environment:232:    surface_downward_x_stress: 0.000000
17:26:33 INFO    opendrift.models.basemodel.environment:232:    surface_downward_y_stress: 0.000000
17:26:33 INFO    opendrift.models.basemodel.environment:232:    turbulent_kinetic_energy: 0.000000
17:26:33 INFO    opendrift.models.basemodel.environment:232:    turbulent_generic_length_scale: 0.000000
17:26:33 INFO    opendrift.models.basemodel.environment:232:    upward_sea_water_velocity: 0.000000

Running model

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

17:26:33 INFO    opendrift:1743: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
17:26:33 INFO    opendrift:1743: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
17:26:33 INFO    opendrift:899: Using existing reader for land_binary_mask
17:26:33 INFO    opendrift:928: All points are in ocean
17:26:33 INFO    opendrift:2035: 2025-07-11 17:26:28.844998 - step 1 of 48 - 2000 active elements (0 deactivated)
17:26:33 INFO    opendrift.readers:61: Opening file with xr.open_dataset
17:26:35 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'x': 'x', 'y': 'y', 'time': 'time'}
17:26:35 INFO    opendrift.readers:61: Opening file with xr.open_dataset
17:26:36 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'time': 'time', 'x': 'x', 'y': 'y'}
17:26:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:26:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:26:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:26:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:26:38 INFO    opendrift:2035: 2025-07-11 18:26:28.844998 - step 2 of 48 - 2000 active elements (0 deactivated)
17:26:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:26:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:26:40 INFO    opendrift:2035: 2025-07-11 19:26:28.844998 - step 3 of 48 - 2000 active elements (0 deactivated)
17:26:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:26:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:26:44 INFO    opendrift:2035: 2025-07-11 20:26:28.844998 - step 4 of 48 - 2000 active elements (0 deactivated)
17:26:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:26:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:26:46 INFO    opendrift:2035: 2025-07-11 21:26:28.844998 - step 5 of 48 - 2000 active elements (0 deactivated)
17:26:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:26:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:26:48 INFO    opendrift:2035: 2025-07-11 22:26:28.844998 - step 6 of 48 - 2000 active elements (0 deactivated)
17:26:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:26:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:26:50 INFO    opendrift:2035: 2025-07-11 23:26:28.844998 - step 7 of 48 - 2000 active elements (0 deactivated)
17:26:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:26:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:26:53 INFO    opendrift:2035: 2025-07-12 00:26:28.844998 - step 8 of 48 - 2000 active elements (0 deactivated)
17:26:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:26:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:26:55 INFO    opendrift:2035: 2025-07-12 01:26:28.844998 - step 9 of 48 - 2000 active elements (0 deactivated)
17:26:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:26:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:26:57 INFO    opendrift:2035: 2025-07-12 02:26:28.844998 - step 10 of 48 - 2000 active elements (0 deactivated)
17:26:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:26:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:26:59 INFO    opendrift:2035: 2025-07-12 03:26:28.844998 - step 11 of 48 - 2000 active elements (0 deactivated)
17:27:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:01 INFO    opendrift:2035: 2025-07-12 04:26:28.844998 - step 12 of 48 - 2000 active elements (0 deactivated)
17:27:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:03 INFO    opendrift:2035: 2025-07-12 05:26:28.844998 - step 13 of 48 - 2000 active elements (0 deactivated)
17:27:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:05 INFO    opendrift:2035: 2025-07-12 06:26:28.844998 - step 14 of 48 - 2000 active elements (0 deactivated)
17:27:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:07 INFO    opendrift:2035: 2025-07-12 07:26:28.844998 - step 15 of 48 - 2000 active elements (0 deactivated)
17:27:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:10 INFO    opendrift:2035: 2025-07-12 08:26:28.844998 - step 16 of 48 - 2000 active elements (0 deactivated)
17:27:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:12 INFO    opendrift:2035: 2025-07-12 09:26:28.844998 - step 17 of 48 - 2000 active elements (0 deactivated)
17:27:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:14 INFO    opendrift:2035: 2025-07-12 10:26:28.844998 - step 18 of 48 - 2000 active elements (0 deactivated)
17:27:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:16 INFO    opendrift:2035: 2025-07-12 11:26:28.844998 - step 19 of 48 - 2000 active elements (0 deactivated)
17:27:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:18 INFO    opendrift:2035: 2025-07-12 12:26:28.844998 - step 20 of 48 - 2000 active elements (0 deactivated)
17:27:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:20 INFO    opendrift:2035: 2025-07-12 13:26:28.844998 - step 21 of 48 - 2000 active elements (0 deactivated)
17:27:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:23 INFO    opendrift:2035: 2025-07-12 14:26:28.844998 - step 22 of 48 - 2000 active elements (0 deactivated)
17:27:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:25 INFO    opendrift:2035: 2025-07-12 15:26:28.844998 - step 23 of 48 - 2000 active elements (0 deactivated)
17:27:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:27 INFO    opendrift:2035: 2025-07-12 16:26:28.844998 - step 24 of 48 - 2000 active elements (0 deactivated)
17:27:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:29 INFO    opendrift:2035: 2025-07-12 17:26:28.844998 - step 25 of 48 - 2000 active elements (0 deactivated)
17:27:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:32 INFO    opendrift:2035: 2025-07-12 18:26:28.844998 - step 26 of 48 - 2000 active elements (0 deactivated)
17:27:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:34 INFO    opendrift:2035: 2025-07-12 19:26:28.844998 - step 27 of 48 - 2000 active elements (0 deactivated)
17:27:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:36 INFO    opendrift:2035: 2025-07-12 20:26:28.844998 - step 28 of 48 - 2000 active elements (0 deactivated)
17:27:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:39 INFO    opendrift:2035: 2025-07-12 21:26:28.844998 - step 29 of 48 - 2000 active elements (0 deactivated)
17:27:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:41 INFO    opendrift:2035: 2025-07-12 22:26:28.844998 - step 30 of 48 - 2000 active elements (0 deactivated)
17:27:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:43 INFO    opendrift:2035: 2025-07-12 23:26:28.844998 - step 31 of 48 - 2000 active elements (0 deactivated)
17:27:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:45 INFO    opendrift:2035: 2025-07-13 00:26:28.844998 - step 32 of 48 - 2000 active elements (0 deactivated)
17:27:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:48 INFO    opendrift:2035: 2025-07-13 01:26:28.844998 - step 33 of 48 - 2000 active elements (0 deactivated)
17:27:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:50 INFO    opendrift:2035: 2025-07-13 02:26:28.844998 - step 34 of 48 - 2000 active elements (0 deactivated)
17:27:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:52 INFO    opendrift:2035: 2025-07-13 03:26:28.844998 - step 35 of 48 - 2000 active elements (0 deactivated)
17:27:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:55 INFO    opendrift:2035: 2025-07-13 04:26:28.844998 - step 36 of 48 - 2000 active elements (0 deactivated)
17:27:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:57 INFO    opendrift:2035: 2025-07-13 05:26:28.844998 - step 37 of 48 - 2000 active elements (0 deactivated)
17:27:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:27:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:28:00 INFO    opendrift:2035: 2025-07-13 06:26:28.844998 - step 38 of 48 - 2000 active elements (0 deactivated)
17:28:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:28:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:28:02 INFO    opendrift:2035: 2025-07-13 07:26:28.844998 - step 39 of 48 - 2000 active elements (0 deactivated)
17:28:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:28:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:28:05 INFO    opendrift:2035: 2025-07-13 08:26:28.844998 - step 40 of 48 - 2000 active elements (0 deactivated)
17:28:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:28:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:28:07 INFO    opendrift:2035: 2025-07-13 09:26:28.844998 - step 41 of 48 - 2000 active elements (0 deactivated)
17:28:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:28:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:28:09 INFO    opendrift:2035: 2025-07-13 10:26:28.844998 - step 42 of 48 - 2000 active elements (0 deactivated)
17:28:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:28:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:28:11 INFO    opendrift:2035: 2025-07-13 11:26:28.844998 - step 43 of 48 - 2000 active elements (0 deactivated)
17:28:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:28:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:28:14 INFO    opendrift:2035: 2025-07-13 12:26:28.844998 - step 44 of 48 - 2000 active elements (0 deactivated)
17:28:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:28:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:28:16 INFO    opendrift:2035: 2025-07-13 13:26:28.844998 - step 45 of 48 - 2000 active elements (0 deactivated)
17:28:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:28:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:28:18 INFO    opendrift:2035: 2025-07-13 14:26:28.844998 - step 46 of 48 - 2000 active elements (0 deactivated)
17:28:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:28:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:28:20 INFO    opendrift:2035: 2025-07-13 15:26:28.844998 - step 47 of 48 - 2000 active elements (0 deactivated)
17:28:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:28:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:28:23 INFO    opendrift:2035: 2025-07-13 16:26:28.844998 - step 48 of 48 - 2000 active elements (0 deactivated)
17:28:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:28:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor

<xarray.Dataset> Size: 13MB
Dimensions:                              (trajectory: 2000, time: 49)
Coordinates:
  * trajectory                           (trajectory) int64 16kB 0 1 ... 1999
  * time                                 (time) datetime64[ns] 392B 2025-07-1...
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: (12/140)
    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:                                                          0:01:57...
    geospatial_vertical_min:                                          -51.24996
    geospatial_vertical_max:                                          0.0
    geospatial_vertical_positive:                                     up

xarray.Dataset

• Dimensions:
  • trajectory: 2000
  • time: 49
• Coordinates: (2)
  • trajectory
    (trajectory)
    int64
    0 1 2 3 4 ... 1996 1997 1998 1999

    cf_role :

    trajectory_id

    dtype :

    <class 'numpy.int32'>

    array([   0,    1,    2, ..., 1997, 1998, 1999], shape=(2000,))

  • time
    (time)
    datetime64[ns]
    2025-07-11T17:26:28.844998 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2025-07-11T17:26:28.844998000', '2025-07-11T18:26:28.844998000',
           '2025-07-11T19:26:28.844998000', '2025-07-11T20:26:28.844998000',
           '2025-07-11T21:26:28.844998000', '2025-07-11T22:26:28.844998000',
           '2025-07-11T23:26:28.844998000', '2025-07-12T00:26:28.844998000',
           '2025-07-12T01:26:28.844998000', '2025-07-12T02:26:28.844998000',
           '2025-07-12T03:26:28.844998000', '2025-07-12T04:26:28.844998000',
           '2025-07-12T05:26:28.844998000', '2025-07-12T06:26:28.844998000',
           '2025-07-12T07:26:28.844998000', '2025-07-12T08:26:28.844998000',
           '2025-07-12T09:26:28.844998000', '2025-07-12T10:26:28.844998000',
           '2025-07-12T11:26:28.844998000', '2025-07-12T12:26:28.844998000',
           '2025-07-12T13:26:28.844998000', '2025-07-12T14:26:28.844998000',
           '2025-07-12T15:26:28.844998000', '2025-07-12T16:26:28.844998000',
           '2025-07-12T17:26:28.844998000', '2025-07-12T18:26:28.844998000',
           '2025-07-12T19:26:28.844998000', '2025-07-12T20:26:28.844998000',
           '2025-07-12T21:26:28.844998000', '2025-07-12T22:26:28.844998000',
           '2025-07-12T23:26:28.844998000', '2025-07-13T00:26:28.844998000',
           '2025-07-13T01:26:28.844998000', '2025-07-13T02:26:28.844998000',
           '2025-07-13T03:26:28.844998000', '2025-07-13T04:26:28.844998000',
           '2025-07-13T05:26:28.844998000', '2025-07-13T06:26:28.844998000',
           '2025-07-13T07:26:28.844998000', '2025-07-13T08:26:28.844998000',
           '2025-07-13T09:26:28.844998000', '2025-07-13T10:26:28.844998000',
           '2025-07-13T11:26:28.844998000', '2025-07-13T12:26:28.844998000',
           '2025-07-13T13:26:28.844998000', '2025-07-13T14:26:28.844998000',
           '2025-07-13T15:26:28.844998000', '2025-07-13T16:26:28.844998000',
           '2025-07-13T17:26:28.844998000'], dtype='datetime64[ns]')

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

    dtype :

    <class 'numpy.int32'>

    valid_range :

    [0 0]

    flag_values :

    [0]

    flag_meanings :

    active

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

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

    dtype :

    <class 'numpy.int32'>

    minval :

    1

    maxval :

    1

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

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

    dtype :

    <class 'numpy.float32'>

    units :

    s

    minval :

    0.0

    maxval :

    172800.0

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

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

    dtype :

    <class 'numpy.int32'>

    unit :

    description :

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

    flag_values :

    [0 1 2 3]

    flag_meanings :

    Seed_0 Seed_1 Seed_2 Seed_3

    minval :

    0

    maxval :

    3

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

  • lon
    (trajectory, time)
    float32
    14.08 14.09 14.09 ... 13.04 13.01

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    12.35679

    maxval :

    14.154183

    array([[14.084752, 14.088776, 14.092406, ..., 14.043267, 14.03403 ,
            14.022624],
           [14.019218, 14.024098, 14.028693, ..., 13.985285, 13.975371,
            13.96454 ],
           [14.047049, 14.052574, 14.057511, ..., 14.026549, 14.017843,
            14.008125],
           ...,
           [13.055853, 13.069167, 13.089473, ..., 13.041867, 13.014833,
            12.992067],
           [13.005157, 13.028349, 13.056907, ..., 12.935854, 12.900944,
            12.900944],
           [13.002091, 13.020485, 13.048761, ..., 13.066743, 13.037683,
            13.011218]], shape=(2000, 49), dtype=float32)

  • lat
    (trajectory, time)
    float32
    68.11 68.1 68.1 ... 67.72 67.73

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    67.61318

    maxval :

    68.27134

    array([[68.10684 , 68.10496 , 68.10318 , ..., 68.09149 , 68.088   ,
            68.08398 ],
           [68.09939 , 68.098175, 68.09695 , ..., 68.08558 , 68.08253 ,
            68.07905 ],
           [68.11965 , 68.11785 , 68.11582 , ..., 68.1063  , 68.1039  ,
            68.100845],
           ...,
           [67.79944 , 67.80087 , 67.79962 , ..., 67.76809 , 67.77013 ,
            67.773224],
           [67.82828 , 67.82952 , 67.82727 , ..., 67.81483 , 67.82073 ,
            67.82073 ],
           [67.78542 , 67.78801 , 67.786804, ..., 67.72407 , 67.72377 ,
            67.725204]], shape=(2000, 49), dtype=float32)

  • z
    (trajectory, time)
    float32
    -40.0 -44.69 ... -7.03 -7.802

    dtype :

    <class 'numpy.float32'>

    units :

    m

    standard_name :

    z

    long_name :

    vertical position

    axis :

    Z

    positive :

    up

    minval :

    -51.24996

    maxval :

    0.0

    array([[-40.       , -44.69309  , -44.551506 , ...,  -2.0380578,
             -1.2187742,  -0.5506736],
           [-40.       , -45.010048 , -44.177326 , ...,  -5.387603 ,
             -6.281521 , -23.464092 ],
           [-40.       , -28.301462 , -13.358614 , ...,  -8.952044 ,
             -1.7813808, -11.052743 ],
           ...,
           [-40.       , -37.49737  , -34.55337  , ...,  -7.16344  ,
             -8.197665 ,  -7.3593073],
           [-40.       , -28.37068  , -12.750778 , ...,  -4.7308307,
             -1.3143147,  -3.4993603],
           [-40.       , -40.299366 , -25.124891 , ...,  -8.476981 ,
             -7.030117 ,  -7.8021164]], shape=(2000, 49), dtype=float32)

  • wind_drift_factor
    (trajectory, time)
    float32
    0.02 0.02 0.02 ... 0.02 0.02 0.02

    dtype :

    <class 'numpy.float32'>

    units :

    1

    description :

    Elements at surface are moved with this fraction of the vind vector, in addition to currents and Stokes drift

    minval :

    0.02

    maxval :

    0.02

    array([[0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           ...,
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02]],
          shape=(2000, 49), dtype=float32)

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

    dtype :

    <class 'numpy.float32'>

    units :

    1

    description :

    Elements are moved with this fraction of the current vector, in addition to currents and Stokes drift

    minval :

    1.0

    maxval :

    1.0

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

  • terminal_velocity
    (trajectory, time)
    float32
    0.0 0.001324 ... 0.001324 0.001324

    dtype :

    <class 'numpy.float32'>

    units :

    m/s

    description :

    Terminal rise/sinking velocity (buoyancy) in the ocean column

    minval :

    0.0

    maxval :

    0.0013238009

    array([[0.       , 0.0013238, 0.0013238, ..., 0.0013238, 0.0013238,
            0.0013238],
           [0.       , 0.0013238, 0.0013238, ..., 0.0013238, 0.0013238,
            0.0013238],
           [0.       , 0.0013238, 0.0013238, ..., 0.0013238, 0.0013238,
            0.0013238],
           ...,
           [0.       , 0.0013238, 0.0013238, ..., 0.0013238, 0.0013238,
            0.0013238],
           [0.       , 0.0013238, 0.0013238, ..., 0.0013238, 0.0013238,
            0.0013238],
           [0.       , 0.0013238, 0.0013238, ..., 0.0013238, 0.0013238,
            0.0013238]], shape=(2000, 49), dtype=float32)

  • diameter
    (trajectory, time)
    float32
    0.0014 0.0014 ... 0.0014 0.0014

    dtype :

    <class 'numpy.float32'>

    units :

    m

    minval :

    0.0014

    maxval :

    0.0014

    array([[0.0014, 0.0014, 0.0014, ..., 0.0014, 0.0014, 0.0014],
           [0.0014, 0.0014, 0.0014, ..., 0.0014, 0.0014, 0.0014],
           [0.0014, 0.0014, 0.0014, ..., 0.0014, 0.0014, 0.0014],
           ...,
           [0.0014, 0.0014, 0.0014, ..., 0.0014, 0.0014, 0.0014],
           [0.0014, 0.0014, 0.0014, ..., 0.0014, 0.0014, 0.0014],
           [0.0014, 0.0014, 0.0014, ..., 0.0014, 0.0014, 0.0014]],
          shape=(2000, 49), dtype=float32)

  • neutral_buoyancy_salinity
    (trajectory, time)
    float32
    31.25 31.25 31.25 ... 31.25 31.25

    dtype :

    <class 'numpy.float32'>

    units :

    []

    minval :

    31.25

    maxval :

    31.25

    array([[31.25, 31.25, 31.25, ..., 31.25, 31.25, 31.25],
           [31.25, 31.25, 31.25, ..., 31.25, 31.25, 31.25],
           [31.25, 31.25, 31.25, ..., 31.25, 31.25, 31.25],
           ...,
           [31.25, 31.25, 31.25, ..., 31.25, 31.25, 31.25],
           [31.25, 31.25, 31.25, ..., 31.25, 31.25, 31.25],
           [31.25, 31.25, 31.25, ..., 31.25, 31.25, 31.25]],
          shape=(2000, 49), dtype=float32)

  • density
    (trajectory, time)
    float32
    1.028e+03 1.028e+03 ... 1.028e+03

    dtype :

    <class 'numpy.float32'>

    units :

    kg/m^3

    minval :

    1028.0

    maxval :

    1028.0

    array([[1028., 1028., 1028., ..., 1028., 1028., 1028.],
           [1028., 1028., 1028., ..., 1028., 1028., 1028.],
           [1028., 1028., 1028., ..., 1028., 1028., 1028.],
           ...,
           [1028., 1028., 1028., ..., 1028., 1028., 1028.],
           [1028., 1028., 1028., ..., 1028., 1028., 1028.],
           [1028., 1028., 1028., ..., 1028., 1028., 1028.]],
          shape=(2000, 49), dtype=float32)

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

    dtype :

    <class 'numpy.float32'>

    units :

    minval :

    0.0

    maxval :

    0.0

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

  • x_sea_water_velocity
    (trajectory, time)
    float32
    0.04653 0.04199 ... -0.3111 -0.3111

    minval :

    -0.9176694

    maxval :

    0.7639086

    array([[ 0.0465306 ,  0.04198524,  0.03567089, ..., -0.10689867,
            -0.13201952, -0.13201952],
           [ 0.05645068,  0.05315392,  0.04478095, ..., -0.11474955,
            -0.12540999, -0.12540999],
           [ 0.06386229,  0.05707074,  0.04445156, ..., -0.10068727,
            -0.11240225, -0.11240225],
           ...,
           [ 0.1560033 ,  0.23792554,  0.26252624, ..., -0.31716886,
            -0.26705545, -0.26705545],
           [ 0.27140135,  0.33422285,  0.29795513, ..., -0.40868965,
            -0.3112322 , -0.3112322 ],
           [ 0.21562919,  0.331517  ,  0.3598548 , ..., -0.34162298,
            -0.31107995, -0.31107995]], shape=(2000, 49), dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    -0.05842 -0.05507 ... 0.04451

    minval :

    -0.7432346

    maxval :

    0.73183465

    array([[-0.05842148, -0.05506697, -0.03779868, ..., -0.10828039,
            -0.12450226, -0.12450226],
           [-0.03762012, -0.03808225, -0.02659205, ..., -0.09455922,
            -0.10787734, -0.10787734],
           [-0.05568691, -0.06299498, -0.05210825, ..., -0.07450211,
            -0.09457969, -0.09457969],
           ...,
           [ 0.04455603, -0.03879251, -0.10350019, ...,  0.06328272,
             0.09596571,  0.09596571],
           [ 0.03858669, -0.06965214, -0.1360611 , ...,  0.18316437,
             0.22336082,  0.22336082],
           [ 0.08008245, -0.0370914 , -0.14336362, ..., -0.00931611,
             0.0445082 ,  0.0445082 ]], shape=(2000, 49), dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    -1.296 -1.293 ... -0.7226 -0.7226

    minval :

    -1.6212249

    maxval :

    0.77076703

    array([[-1.295701  , -1.2927413 , -1.0507398 , ..., -0.22456351,
            -0.6907595 , -0.6907595 ],
           [-1.2936193 , -1.2907574 , -1.0493643 , ..., -0.2249571 ,
            -0.68964505, -0.68964505],
           [-1.2940109 , -1.2923331 , -1.05146   , ..., -0.22154374,
            -0.688017  , -0.688017  ],
           ...,
           [-1.2534394 , -1.245327  , -1.0148655 , ..., -0.28972816,
            -0.7128209 , -0.7128209 ],
           [-1.2489632 , -1.2473024 , -1.0213866 , ..., -0.28129283,
            -0.69676936, -0.69676936],
           [-1.2506058 , -1.2425257 , -1.0121872 , ..., -0.2982977 ,
            -0.7226011 , -0.7226011 ]], shape=(2000, 49), dtype=float32)

  • sea_surface_wave_significant_height
    (trajectory, time)
    float32
    1.09 0.8998 0.715 ... 0.147 0.147

    minval :

    7.434533e-06

    maxval :

    2.262458

    array([[1.0902272 , 0.8998309 , 0.71497273, ..., 0.74140275, 0.68507403,
            0.68507403],
           [0.8999508 , 0.61985266, 0.61472434, ..., 0.2855207 , 0.52390087,
            0.52390087],
           [0.6277227 , 0.52298003, 0.5512985 , ..., 1.0807254 , 1.0138385 ,
            1.0138385 ],
           ...,
           [0.665946  , 0.5619415 , 0.46606097, ..., 0.00898519, 0.00623431,
            0.00623431],
           [1.3415165 , 1.1117051 , 0.8568767 , ..., 0.04256405, 0.03745122,
            0.03745122],
           [0.93607736, 1.0100877 , 0.64589405, ..., 0.18241099, 0.14699742,
            0.14699742]], shape=(2000, 49), dtype=float32)

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

    minval :

    0.0

    maxval :

    0.0

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

  • x_wind
    (trajectory, time)
    float32
    4.265 3.83 3.302 ... 1.059 1.059

    minval :

    -4.781322

    maxval :

    6.167275

    array([[ 4.265328  ,  3.8299537 ,  3.3017309 , ..., -0.78289706,
            -0.05622393, -0.05622393],
           [ 3.871427  ,  3.0893214 ,  2.6921756 , ..., -1.1559917 ,
            -1.6679704 , -1.6679704 ],
           [ 3.2820754 ,  1.7341385 ,  1.5029446 , ..., -2.7166848 ,
            -1.782783  , -1.782783  ],
           ...,
           [ 3.7188435 ,  3.0044053 ,  2.9131238 , ..., -0.09556211,
            -0.30666083, -0.30666083],
           [ 5.500358  ,  4.9203076 ,  4.2807775 , ..., -1.248481  ,
            -1.1636117 , -1.1636117 ],
           [ 4.011648  ,  4.970578  ,  4.2751303 , ...,  1.570473  ,
             1.0593867 ,  1.0593867 ]], shape=(2000, 49), dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    5.111 4.681 4.262 ... -2.203 -2.203

    minval :

    -6.9213395

    maxval :

    8.478665

    array([[ 5.1112776 ,  4.680806  ,  4.2617493 , ..., -5.4337277 ,
            -5.276872  , -5.276872  ],
           [ 4.647087  ,  3.9564323 ,  4.212005  , ..., -3.2047179 ,
            -4.302866  , -4.302866  ],
           [ 3.839943  ,  4.2722497 ,  4.489061  , ..., -6.0457883 ,
            -6.1672225 , -6.1672225 ],
           ...,
           [ 3.638843  ,  3.717082  ,  3.2340803 , ...,  0.5967575 ,
            -0.39923215, -0.39923215],
           [ 4.927398  ,  4.5805936 ,  4.062922  , ...,  0.41417512,
            -0.410384  , -0.410384  ],
           [ 4.686001  ,  4.043987  ,  2.8247328 , ..., -2.2245665 ,
            -2.202999  , -2.202999  ]], shape=(2000, 49), dtype=float32)

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

    minval :

    0.0

    maxval :

    0.0

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

  • sea_floor_depth_below_sea_level
    (trajectory, time)
    float32
    91.6 92.39 93.14 ... 168.6 168.6

    minval :

    39.430473

    maxval :

    226.51018

    array([[ 91.5983  ,  92.390114,  93.14224 , ...,  98.29788 ,  97.815346,
             97.815346],
           [ 94.49078 ,  95.173904,  95.84395 , ...,  93.251465,  92.36879 ,
             92.36879 ],
           [ 86.55411 ,  87.31709 ,  88.11351 , ...,  93.197685,  93.56027 ,
             93.56027 ],
           ...,
           [131.81073 , 134.57933 , 139.77843 , ..., 144.08368 , 134.59407 ,
            134.59407 ],
           [ 97.5854  , 103.82736 , 113.50646 , ...,  82.991844,  68.9495  ,
             68.9495  ],
           [122.13023 , 126.69342 , 135.84787 , ..., 174.93024 , 168.59778 ,
            168.59778 ]], shape=(2000, 49), dtype=float32)

  • ocean_vertical_diffusivity
    (trajectory, time)
    float32
    0.02 0.02 0.02 ... 0.02 0.02 0.02

    minval :

    0.02

    maxval :

    0.02

    array([[0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           ...,
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02]],
          shape=(2000, 49), dtype=float32)

  • ocean_mixed_layer_thickness
    (trajectory, time)
    float32
    50.0 50.0 50.0 ... 50.0 50.0 50.0

    minval :

    50.0

    maxval :

    50.0

    array([[50., 50., 50., ..., 50., 50., 50.],
           [50., 50., 50., ..., 50., 50., 50.],
           [50., 50., 50., ..., 50., 50., 50.],
           ...,
           [50., 50., 50., ..., 50., 50., 50.],
           [50., 50., 50., ..., 50., 50., 50.],
           [50., 50., 50., ..., 50., 50., 50.]],
          shape=(2000, 49), dtype=float32)

  • sea_water_temperature
    (trajectory, time)
    float32
    10.0 10.0 10.0 ... 10.0 10.0 10.0

    minval :

    10.0

    maxval :

    10.0

    array([[10., 10., 10., ..., 10., 10., 10.],
           [10., 10., 10., ..., 10., 10., 10.],
           [10., 10., 10., ..., 10., 10., 10.],
           ...,
           [10., 10., 10., ..., 10., 10., 10.],
           [10., 10., 10., ..., 10., 10., 10.],
           [10., 10., 10., ..., 10., 10., 10.]],
          shape=(2000, 49), dtype=float32)

  • sea_water_salinity
    (trajectory, time)
    float32
    34.0 34.0 34.0 ... 34.0 34.0 34.0

    minval :

    34.0

    maxval :

    34.0

    array([[34., 34., 34., ..., 34., 34., 34.],
           [34., 34., 34., ..., 34., 34., 34.],
           [34., 34., 34., ..., 34., 34., 34.],
           ...,
           [34., 34., 34., ..., 34., 34., 34.],
           [34., 34., 34., ..., 34., 34., 34.],
           [34., 34., 34., ..., 34., 34., 34.]],
          shape=(2000, 49), dtype=float32)

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

    minval :

    0.0

    maxval :

    0.0

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

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

    minval :

    0.0

    maxval :

    0.0

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

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

    minval :

    0.0

    maxval :

    0.0

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

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

    minval :

    0.0

    maxval :

    0.0

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

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

    minval :

    0.0

    maxval :

    0.0

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

• Indexes: (2)
  • trajectory
    PandasIndex

    PandasIndex(Index([   0,    1,    2,    3,    4,    5,    6,    7,    8,    9,
           ...
           1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999],
          dtype='int64', name='trajectory', length=2000))

  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['2025-07-11 17:26:28.844998', '2025-07-11 18:26:28.844998',
                   '2025-07-11 19:26:28.844998', '2025-07-11 20:26:28.844998',
                   '2025-07-11 21:26:28.844998', '2025-07-11 22:26:28.844998',
                   '2025-07-11 23:26:28.844998', '2025-07-12 00:26:28.844998',
                   '2025-07-12 01:26:28.844998', '2025-07-12 02:26:28.844998',
                   '2025-07-12 03:26:28.844998', '2025-07-12 04:26:28.844998',
                   '2025-07-12 05:26:28.844998', '2025-07-12 06:26:28.844998',
                   '2025-07-12 07:26:28.844998', '2025-07-12 08:26:28.844998',
                   '2025-07-12 09:26:28.844998', '2025-07-12 10:26:28.844998',
                   '2025-07-12 11:26:28.844998', '2025-07-12 12:26:28.844998',
                   '2025-07-12 13:26:28.844998', '2025-07-12 14:26:28.844998',
                   '2025-07-12 15:26:28.844998', '2025-07-12 16:26:28.844998',
                   '2025-07-12 17:26:28.844998', '2025-07-12 18:26:28.844998',
                   '2025-07-12 19:26:28.844998', '2025-07-12 20:26:28.844998',
                   '2025-07-12 21:26:28.844998', '2025-07-12 22:26:28.844998',
                   '2025-07-12 23:26:28.844998', '2025-07-13 00:26:28.844998',
                   '2025-07-13 01:26:28.844998', '2025-07-13 02:26:28.844998',
                   '2025-07-13 03:26:28.844998', '2025-07-13 04:26:28.844998',
                   '2025-07-13 05:26:28.844998', '2025-07-13 06:26:28.844998',
                   '2025-07-13 07:26:28.844998', '2025-07-13 08:26:28.844998',
                   '2025-07-13 09:26:28.844998', '2025-07-13 10:26:28.844998',
                   '2025-07-13 11:26:28.844998', '2025-07-13 12:26:28.844998',
                   '2025-07-13 13:26:28.844998', '2025-07-13 14:26:28.844998',
                   '2025-07-13 15:26:28.844998', '2025-07-13 16:26:28.844998',
                   '2025-07-13 17:26:28.844998'],
                  dtype='datetime64[ns]', name='time', freq='h'))

• Attributes: (140)

  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 2025-07-11 17:26:33.412892

  date_created :

  2025-07-11T17:26:33.412909

  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 :

  2025-07-11 17:26:28.844998

  time_step_calculation :

  1:00:00

  time_step_output :

  1:00:00

  config_environment:constant:x_sea_water_velocity :

  None

  config_environment:fallback:x_sea_water_velocity :

  0

  config_environment:constant:y_sea_water_velocity :

  None

  config_environment:fallback:y_sea_water_velocity :

  0

  config_environment:constant:sea_surface_height :

  None

  config_environment:fallback:sea_surface_height :

  0

  config_environment:constant:sea_surface_wave_significant_height :

  None

  config_environment:fallback:sea_surface_wave_significant_height :

  0

  config_environment:constant:sea_ice_area_fraction :

  None

  config_environment:fallback:sea_ice_area_fraction :

  0

  config_environment:constant:x_wind :

  None

  config_environment:fallback:x_wind :

  0

  config_environment:constant:y_wind :

  None

  config_environment:fallback:y_wind :

  0

  config_environment:constant:land_binary_mask :

  None

  config_environment:fallback:land_binary_mask :

  None

  config_environment:constant:sea_floor_depth_below_sea_level :

  None

  config_environment:fallback:sea_floor_depth_below_sea_level :

  100

  config_environment:constant:ocean_vertical_diffusivity :

  None

  config_environment:fallback:ocean_vertical_diffusivity :

  0.02

  config_environment:constant:ocean_mixed_layer_thickness :

  None

  config_environment:fallback:ocean_mixed_layer_thickness :

  50

  config_environment:constant:sea_water_temperature :

  None

  config_environment:fallback:sea_water_temperature :

  10

  config_environment:constant:sea_water_salinity :

  None

  config_environment:fallback:sea_water_salinity :

  34

  config_environment:constant:surface_downward_x_stress :

  None

  config_environment:fallback:surface_downward_x_stress :

  0

  config_environment:constant:surface_downward_y_stress :

  None

  config_environment:fallback:surface_downward_y_stress :

  0

  config_environment:constant:turbulent_kinetic_energy :

  None

  config_environment:fallback:turbulent_kinetic_energy :

  0

  config_environment:constant:turbulent_generic_length_scale :

  None

  config_environment:fallback:turbulent_generic_length_scale :

  0

  config_environment:constant:upward_sea_water_velocity :

  None

  config_environment:fallback:upward_sea_water_velocity :

  0

  config_general:use_auto_landmask :

  True

  config_drift:current_uncertainty :

  0

  config_drift:current_uncertainty_uniform :

  0

  config_drift:max_speed :

  2.0

  config_readers:max_number_of_fails :

  1

  config_general:simulation_name :

  config_general:coastline_action :

  previous

  config_general:coastline_approximation_precision :

  0.001

  config_general:time_step_minutes :

  60

  config_general:time_step_output_minutes :

  None

  config_seed:ocean_only :

  True

  config_seed:number :

  1

  config_drift:max_age_seconds :

  None

  config_drift:advection_scheme :

  euler

  config_drift:horizontal_diffusivity :

  0

  config_drift:profiles_depth :

  50

  config_drift:wind_uncertainty :

  0

  config_drift:relative_wind :

  False

  config_drift:deactivate_north_of :

  None

  config_drift:deactivate_south_of :

  None

  config_drift:deactivate_east_of :

  None

  config_drift:deactivate_west_of :

  None

  config_seed:origin_marker :

  0

  config_seed:z :

  0

  config_seed:wind_drift_factor :

  0.02

  config_seed:current_drift_factor :

  1

  config_seed:terminal_velocity :

  0.0

  config_seed:diameter :

  0.0014

  config_seed:neutral_buoyancy_salinity :

  31.25

  config_seed:density :

  1028.0

  config_seed:hatched :

  0.0

  config_drift:vertical_advection :

  True

  config_drift:vertical_advection_at_surface :

  True

  config_drift:water_column_stretching :

  False

  config_drift:vertical_advection_correction :

  False

  config_drift:vertical_mixing :

  True

  config_drift:vertical_mixing_at_surface :

  True

  config_vertical_mixing:timestep :

  60.0

  config_vertical_mixing:diffusivitymodel :

  windspeed_Sundby1983

  config_vertical_mixing:background_diffusivity :

  1.2e-05

  config_vertical_mixing:TSprofiles :

  False

  config_drift:wind_drift_depth :

  0.1

  config_drift:stokes_drift :

  True

  config_drift:stokes_drift_profile :

  Phillips

  config_drift:use_tabularised_stokes_drift :

  False

  config_drift:tabularised_stokes_drift_fetch :

  25000

  config_general:seafloor_action :

  lift_to_seafloor

  config_drift:truncate_ocean_model_below_m :

  None

  config_seed:seafloor :

  False

  opendrift_version :

  1.14.2

  seed_geojson :

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

  simulation_time :

  2025-07-11 17:26:33.492394

  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 :

  2025-07-13 17:26:28.844998

  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 0:01:00.1 total 0:00:00.0 preparing 0:00:59.9 reading 0:00:00.1 interpolation 0:00:00.0 interpolation_time 0:00:00.1 rotating vectors 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc 0:00:43.0 total 0:00:00.0 preparing 0:00:42.9 reading 0:00:00.8 interpolation 0:00:00.0 interpolation_time 0:00:00.1 rotating vectors 0:00:00.0 masking -------------------- Performance: 1:57.4 total time 4.5 configuration 0.0 preparing main loop 0.0 moving elements to ocean 1:52.8 main loop 3.2 updating elements 3.1 vertical mixing 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  67.61318

  geospatial_lat_max :

  68.27134

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  12.35679

  geospatial_lon_max :

  14.154183

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:01:57.473980

  geospatial_vertical_min :

  -51.24996

  geospatial_vertical_max :

  0.0

  geospatial_vertical_positive :

  up

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

print(o)

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

===========================
--------------------
Reader performance:
--------------------
global_landmask
 0:00:01.5  total
 0:00:00.0  preparing
 0:00:01.5  reading
 0:00:00.0  masking
--------------------
https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
 0:01:00.1  total
 0:00:00.0  preparing
 0:00:59.9  reading
 0:00:00.1  interpolation
 0:00:00.0  interpolation_time
 0:00:00.1  rotating vectors
 0:00:00.0  masking
--------------------
https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc
 0:00:43.0  total
 0:00:00.0  preparing
 0:00:42.9  reading
 0:00:00.8  interpolation
 0:00:00.0  interpolation_time
 0:00:00.1  rotating vectors
 0:00:00.0  masking
--------------------
Performance:
 1:57.4 total time
    4.5 configuration
    0.0 preparing main loop
      0.0 moving elements to ocean
 1:52.8 main loop
      3.2 updating elements
        3.1 vertical mixing
    0.0 cleaning up
--------------------
===========================
Model:  PelagicEggDrift     (OpenDrift version 1.14.2)
        2000 active PelagicEgg particles  (0 deactivated, 0 scheduled)
-------------------
Environment variables:
  -----
  land_binary_mask
     1) global_landmask
  -----
  sea_floor_depth_below_sea_level
  sea_surface_height
  x_sea_water_velocity
  y_sea_water_velocity
     1) https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
  -----
  x_wind
  y_wind
     1) https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc
  -----
Readers not added for the following variables:
  ocean_mixed_layer_thickness
  ocean_vertical_diffusivity
  sea_ice_area_fraction
  sea_surface_wave_significant_height
  sea_water_salinity
  sea_water_temperature
  surface_downward_x_stress
  surface_downward_y_stress
  turbulent_generic_length_scale
  turbulent_kinetic_energy
  upward_sea_water_velocity

Discarded readers:

Time:
        Start: 2025-07-11 17:26:28.844998 UTC
        Present: 2025-07-13 17:26:28.844998 UTC
        Calculation steps: 48 * 1:00:00 - total time: 2 days, 0:00:00
        Output steps: 49 * 1:00:00
===========================

17:28:26 WARNING opendrift:2391: Plotting fast. This will make your plots less accurate.
17:28:32 WARNING opendrift:2391: Plotting fast. This will make your plots less accurate.
17:28:33 INFO    opendrift:4553: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_0.gif...
17:29:10 INFO    opendrift:2994: Time to make animation: 0:00:37.662869

o.animate_vertical_distribution()

17:29:11 INFO    opendrift:4553: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_1.gif...
17:29:22 INFO    opendrift.models.oceandrift:633: Time to make animation: 0:00:11.366480