Cod egg

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

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

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

15:29:26 INFO    opendrift:568: OpenDriftSimulation initialised (version 1.14.3 / v1.14.3-4-ga7b402c)

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)

15:29:26 INFO    opendrift.models.basemodel.environment:206: Adding a global landmask from GSHHG
15:29:30 INFO    opendrift.models.basemodel.environment:229: Fallback values will be used for the following variables which have no readers:
15:29:30 INFO    opendrift.models.basemodel.environment:232:    x_sea_water_velocity: 0.000000
15:29:30 INFO    opendrift.models.basemodel.environment:232:    y_sea_water_velocity: 0.000000
15:29:30 INFO    opendrift.models.basemodel.environment:232:    sea_surface_height: 0.000000
15:29:30 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_significant_height: 0.000000
15:29:30 INFO    opendrift.models.basemodel.environment:232:    sea_ice_area_fraction: 0.000000
15:29:30 INFO    opendrift.models.basemodel.environment:232:    x_wind: 0.000000
15:29:30 INFO    opendrift.models.basemodel.environment:232:    y_wind: 0.000000
15:29:30 INFO    opendrift.models.basemodel.environment:232:    sea_floor_depth_below_sea_level: 100.000000
15:29:30 INFO    opendrift.models.basemodel.environment:232:    ocean_vertical_diffusivity: 0.020000
15:29:30 INFO    opendrift.models.basemodel.environment:232:    ocean_mixed_layer_thickness: 50.000000
15:29:30 INFO    opendrift.models.basemodel.environment:232:    sea_water_temperature: 10.000000
15:29:30 INFO    opendrift.models.basemodel.environment:232:    sea_water_salinity: 34.000000
15:29:30 INFO    opendrift.models.basemodel.environment:232:    surface_downward_x_stress: 0.000000
15:29:30 INFO    opendrift.models.basemodel.environment:232:    surface_downward_y_stress: 0.000000
15:29:30 INFO    opendrift.models.basemodel.environment:232:    turbulent_kinetic_energy: 0.000000
15:29:30 INFO    opendrift.models.basemodel.environment:232:    turbulent_generic_length_scale: 0.000000
15:29:30 INFO    opendrift.models.basemodel.environment:232:    upward_sea_water_velocity: 0.000000

Running model

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

15:29:30 INFO    opendrift:1789: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
15:29:30 INFO    opendrift:1789: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
15:29:30 INFO    opendrift:944: Using existing reader for land_binary_mask to move elements to ocean
15:29:30 INFO    opendrift:974: All points are in ocean
15:29:30 INFO    opendrift:2085: 2025-09-12 15:29:26.261550 - step 1 of 48 - 2000 active elements (0 deactivated)
15:29:30 INFO    opendrift.readers:61: Opening file with xr.open_dataset
15:29:32 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'x': 'x', 'y': 'y', 'time': 'time'}
15:29:32 INFO    opendrift.readers:61: Opening file with xr.open_dataset
15:29:33 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'time': 'time', 'x': 'x', 'y': 'y'}
15:29:35 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:29:35 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:29:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:29:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:29:36 INFO    opendrift:2085: 2025-09-12 16:29:26.261550 - step 2 of 48 - 2000 active elements (0 deactivated)
15:29:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:29:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:29:42 INFO    opendrift:2085: 2025-09-12 17:29:26.261550 - step 3 of 48 - 2000 active elements (0 deactivated)
15:29:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:29:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:29:45 INFO    opendrift:2085: 2025-09-12 18:29:26.261550 - step 4 of 48 - 2000 active elements (0 deactivated)
15:29:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:29:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:29:47 INFO    opendrift:2085: 2025-09-12 19:29:26.261550 - step 5 of 48 - 2000 active elements (0 deactivated)
15:29:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:29:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:29:49 INFO    opendrift:2085: 2025-09-12 20:29:26.261550 - step 6 of 48 - 2000 active elements (0 deactivated)
15:29:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:29:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:29:52 INFO    opendrift:2085: 2025-09-12 21:29:26.261550 - step 7 of 48 - 2000 active elements (0 deactivated)
15:29:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:29:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:29:54 INFO    opendrift:2085: 2025-09-12 22:29:26.261550 - step 8 of 48 - 2000 active elements (0 deactivated)
15:29:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:29:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:29:56 INFO    opendrift:2085: 2025-09-12 23:29:26.261550 - step 9 of 48 - 2000 active elements (0 deactivated)
15:29:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:29:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:29:58 INFO    opendrift:2085: 2025-09-13 00:29:26.261550 - step 10 of 48 - 2000 active elements (0 deactivated)
15:30:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:01 INFO    opendrift:2085: 2025-09-13 01:29:26.261550 - step 11 of 48 - 2000 active elements (0 deactivated)
15:30:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:03 INFO    opendrift:2085: 2025-09-13 02:29:26.261550 - step 12 of 48 - 2000 active elements (0 deactivated)
15:30:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:05 INFO    opendrift:2085: 2025-09-13 03:29:26.261550 - step 13 of 48 - 2000 active elements (0 deactivated)
15:30:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:08 INFO    opendrift:2085: 2025-09-13 04:29:26.261550 - step 14 of 48 - 2000 active elements (0 deactivated)
15:30:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:10 INFO    opendrift:2085: 2025-09-13 05:29:26.261550 - step 15 of 48 - 2000 active elements (0 deactivated)
15:30:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:12 INFO    opendrift:2085: 2025-09-13 06:29:26.261550 - step 16 of 48 - 2000 active elements (0 deactivated)
15:30:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:14 INFO    opendrift:2085: 2025-09-13 07:29:26.261550 - step 17 of 48 - 2000 active elements (0 deactivated)
15:30:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:16 INFO    opendrift:2085: 2025-09-13 08:29:26.261550 - step 18 of 48 - 2000 active elements (0 deactivated)
15:30:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:18 INFO    opendrift:2085: 2025-09-13 09:29:26.261550 - step 19 of 48 - 2000 active elements (0 deactivated)
15:30:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:20 INFO    opendrift:2085: 2025-09-13 10:29:26.261550 - step 20 of 48 - 2000 active elements (0 deactivated)
15:30:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:22 INFO    opendrift:2085: 2025-09-13 11:29:26.261550 - step 21 of 48 - 2000 active elements (0 deactivated)
15:30:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:25 INFO    opendrift:2085: 2025-09-13 12:29:26.261550 - step 22 of 48 - 2000 active elements (0 deactivated)
15:30:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:27 INFO    opendrift:2085: 2025-09-13 13:29:26.261550 - step 23 of 48 - 2000 active elements (0 deactivated)
15:30:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:29 INFO    opendrift:2085: 2025-09-13 14:29:26.261550 - step 24 of 48 - 2000 active elements (0 deactivated)
15:30:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:31 INFO    opendrift:2085: 2025-09-13 15:29:26.261550 - step 25 of 48 - 2000 active elements (0 deactivated)
15:30:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:34 INFO    opendrift:2085: 2025-09-13 16:29:26.261550 - step 26 of 48 - 2000 active elements (0 deactivated)
15:30:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:36 INFO    opendrift:2085: 2025-09-13 17:29:26.261550 - step 27 of 48 - 2000 active elements (0 deactivated)
15:30:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:39 INFO    opendrift:2085: 2025-09-13 18:29:26.261550 - step 28 of 48 - 2000 active elements (0 deactivated)
15:30:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:42 INFO    opendrift:2085: 2025-09-13 19:29:26.261550 - step 29 of 48 - 2000 active elements (0 deactivated)
15:30:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:45 INFO    opendrift:2085: 2025-09-13 20:29:26.261550 - step 30 of 48 - 2000 active elements (0 deactivated)
15:30:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:47 INFO    opendrift:2085: 2025-09-13 21:29:26.261550 - step 31 of 48 - 2000 active elements (0 deactivated)
15:30:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:49 INFO    opendrift:2085: 2025-09-13 22:29:26.261550 - step 32 of 48 - 2000 active elements (0 deactivated)
15:30:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:52 INFO    opendrift:2085: 2025-09-13 23:29:26.261550 - step 33 of 48 - 2000 active elements (0 deactivated)
15:30:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:54 INFO    opendrift:2085: 2025-09-14 00:29:26.261550 - step 34 of 48 - 2000 active elements (0 deactivated)
15:30:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:57 INFO    opendrift:2085: 2025-09-14 01:29:26.261550 - step 35 of 48 - 2000 active elements (0 deactivated)
15:30:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:30:59 INFO    opendrift:2085: 2025-09-14 02:29:26.261550 - step 36 of 48 - 2000 active elements (0 deactivated)
15:31:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:31:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:31:01 INFO    opendrift:2085: 2025-09-14 03:29:26.261550 - step 37 of 48 - 2000 active elements (0 deactivated)
15:31:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:31:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:31:03 INFO    opendrift:2085: 2025-09-14 04:29:26.261550 - step 38 of 48 - 2000 active elements (0 deactivated)
15:31:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:31:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:31:06 INFO    opendrift:2085: 2025-09-14 05:29:26.261550 - step 39 of 48 - 2000 active elements (0 deactivated)
15:31:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:31:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:31:08 INFO    opendrift:2085: 2025-09-14 06:29:26.261550 - step 40 of 48 - 2000 active elements (0 deactivated)
15:31:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:31:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:31:11 INFO    opendrift:2085: 2025-09-14 07:29:26.261550 - step 41 of 48 - 2000 active elements (0 deactivated)
15:31:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:31:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:31:13 INFO    opendrift:2085: 2025-09-14 08:29:26.261550 - step 42 of 48 - 2000 active elements (0 deactivated)
15:31:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:31:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:31:16 INFO    opendrift:2085: 2025-09-14 09:29:26.261550 - step 43 of 48 - 2000 active elements (0 deactivated)
15:31:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:31:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:31:18 INFO    opendrift:2085: 2025-09-14 10:29:26.261550 - step 44 of 48 - 2000 active elements (0 deactivated)
15:31:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:31:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:31:20 INFO    opendrift:2085: 2025-09-14 11:29:26.261550 - step 45 of 48 - 2000 active elements (0 deactivated)
15:31:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:31:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:31:22 INFO    opendrift:2085: 2025-09-14 12:29:26.261550 - step 46 of 48 - 2000 active elements (0 deactivated)
15:31:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:31:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:31:25 INFO    opendrift:2085: 2025-09-14 13:29:26.261550 - step 47 of 48 - 2000 active elements (0 deactivated)
15:31:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:31:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:31:27 INFO    opendrift:2085: 2025-09-14 14:29:26.261550 - step 48 of 48 - 2000 active elements (0 deactivated)
15:31:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
15:31:34 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 2025-09-1...
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:                                                          0:02:08...
    geospatial_vertical_min:                                          -51.479637
    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]
    2025-09-12T15:29:26.261550 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2025-09-12T15:29:26.261550000', '2025-09-12T16:29:26.261550000',
           '2025-09-12T17:29:26.261550000', '2025-09-12T18:29:26.261550000',
           '2025-09-12T19:29:26.261550000', '2025-09-12T20:29:26.261550000',
           '2025-09-12T21:29:26.261550000', '2025-09-12T22:29:26.261550000',
           '2025-09-12T23:29:26.261550000', '2025-09-13T00:29:26.261550000',
           '2025-09-13T01:29:26.261550000', '2025-09-13T02:29:26.261550000',
           '2025-09-13T03:29:26.261550000', '2025-09-13T04:29:26.261550000',
           '2025-09-13T05:29:26.261550000', '2025-09-13T06:29:26.261550000',
           '2025-09-13T07:29:26.261550000', '2025-09-13T08:29:26.261550000',
           '2025-09-13T09:29:26.261550000', '2025-09-13T10:29:26.261550000',
           '2025-09-13T11:29:26.261550000', '2025-09-13T12:29:26.261550000',
           '2025-09-13T13:29:26.261550000', '2025-09-13T14:29:26.261550000',
           '2025-09-13T15:29:26.261550000', '2025-09-13T16:29:26.261550000',
           '2025-09-13T17:29:26.261550000', '2025-09-13T18:29:26.261550000',
           '2025-09-13T19:29:26.261550000', '2025-09-13T20:29:26.261550000',
           '2025-09-13T21:29:26.261550000', '2025-09-13T22:29:26.261550000',
           '2025-09-13T23:29:26.261550000', '2025-09-14T00:29:26.261550000',
           '2025-09-14T01:29:26.261550000', '2025-09-14T02:29:26.261550000',
           '2025-09-14T03:29:26.261550000', '2025-09-14T04:29:26.261550000',
           '2025-09-14T05:29:26.261550000', '2025-09-14T06:29:26.261550000',
           '2025-09-14T07:29:26.261550000', '2025-09-14T08:29:26.261550000',
           '2025-09-14T09:29:26.261550000', '2025-09-14T10:29:26.261550000',
           '2025-09-14T11:29:26.261550000', '2025-09-14T12:29:26.261550000',
           '2025-09-14T13:29:26.261550000', '2025-09-14T14:29:26.261550000',
           '2025-09-14T15:29:26.261550000'], 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 14.07 14.06 ... 12.81 12.81

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    12.338497

    maxval :

    14.340262

    array([[14.084752 , 14.07477  , 14.0623045, ..., 14.169096 , 14.169337 ,
            14.168089 ],
           [14.019218 , 14.008778 , 13.996264 , ..., 14.123869 , 14.1238165,
            14.12278  ],
           [14.047049 , 14.039864 , 14.030918 , ..., 14.213532 , 14.214117 ,
            14.21292  ],
           ...,
           [13.055853 , 13.016048 , 12.965119 , ..., 12.824921 , 12.837014 ,
            12.838958 ],
           [13.005157 , 12.958147 , 12.901949 , ..., 12.82095  , 12.832939 ,
            12.834789 ],
           [13.002091 , 12.958618 , 12.906383 , ..., 12.800178 , 12.811894 ,
            12.813599 ]], shape=(2000, 49), dtype=float32)

  • lat
    (trajectory, time)
    float32
    68.11 68.11 68.11 ... 67.62 67.61

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    67.4997

    maxval :

    68.37218

    array([[68.10684 , 68.1073  , 68.10842 , ..., 68.11575 , 68.116005,
            68.11649 ],
           [68.09939 , 68.10001 , 68.10132 , ..., 68.12353 , 68.12389 ,
            68.124725],
           [68.11965 , 68.12063 , 68.12206 , ..., 68.12753 , 68.12735 ,
            68.12772 ],
           ...,
           [67.79944 , 67.79272 , 67.791016, ..., 67.64857 , 67.63985 ,
            67.62841 ],
           [67.82828 , 67.82511 , 67.82734 , ..., 67.64699 , 67.63836 ,
            67.627014],
           [67.78542 , 67.781105, 67.78283 , ..., 67.62952 , 67.62125 ,
            67.610054]], shape=(2000, 49), dtype=float32)

  • z
    (trajectory, time)
    float32
    -40.0 -50.42 ... -11.35 -13.19

    dtype :

    <class 'numpy.float32'>

    units :

    m

    standard_name :

    z

    long_name :

    vertical position

    axis :

    Z

    positive :

    up

    minval :

    -51.479637

    maxval :

    0.0

    array([[-40.       , -50.42416  , -45.05724  , ...,  -1.9877758,
             -1.0395614,  -0.8015838],
           [-40.       , -47.68156  , -47.87677  , ...,  -5.38317  ,
             -5.683898 , -19.375141 ],
           [-40.       , -23.107317 ,  -6.23929  , ...,  -5.6740227,
             -0.6467478,  -7.3804526],
           ...,
           [-40.       , -37.99942  , -34.934208 , ..., -13.062797 ,
            -11.2910595, -10.901061 ],
           [-40.       , -29.105213 , -13.732177 , ...,  -5.0547066,
             -1.4704351,  -4.267807 ],
           [-40.       , -40.483093 , -25.756021 , ..., -12.220631 ,
            -11.34795  , -13.194814 ]], 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
    -0.1154 -0.1441 ... 0.02012 0.02012

    minval :

    -1.0937238

    maxval :

    0.7579112

    array([[-1.15424879e-01, -1.44136384e-01, -1.41171232e-01, ...,
             2.78737233e-03, -1.44351711e-02, -1.44351711e-02],
           [-1.20763056e-01, -1.44735947e-01, -1.38665840e-01, ...,
            -6.12915144e-04, -1.19737247e-02, -1.19737247e-02],
           [-8.30319077e-02, -1.03377879e-01, -9.47820768e-02, ...,
             6.75960630e-03, -1.38250003e-02, -1.38250003e-02],
           ...,
           [-4.66540128e-01, -5.96984386e-01, -6.05219483e-01, ...,
             1.42673612e-01,  2.29360238e-02,  2.29360238e-02],
           [-5.50242424e-01, -6.57720268e-01, -6.87094390e-01, ...,
             1.41454607e-01,  2.18438823e-02,  2.18438823e-02],
           [-5.09801328e-01, -6.12505972e-01, -5.74658155e-01, ...,
             1.38340756e-01,  2.01220009e-02,  2.01220009e-02]],
          shape=(2000, 49), dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    0.01415 0.0349 ... -0.3467 -0.3467

    minval :

    -0.6206602

    maxval :

    0.86070937

    array([[ 0.01414959,  0.03490295,  0.05947731, ...,  0.00765035,
             0.01521729,  0.01521729],
           [ 0.01937127,  0.04050861,  0.06741624, ...,  0.01147698,
             0.02572508,  0.02572508],
           [ 0.0301595 ,  0.04460502,  0.06066459, ..., -0.00557874,
             0.01159414,  0.01159414],
           ...,
           [-0.2081199 , -0.05244027,  0.14509378, ..., -0.27028468,
            -0.3543382 , -0.3543382 ],
           [-0.09787492,  0.06936301,  0.24663174, ..., -0.2672761 ,
            -0.3515287 , -0.3515287 ],
           [-0.13354482,  0.0535169 ,  0.26603934, ..., -0.2562426 ,
            -0.3467179 , -0.3467179 ]], shape=(2000, 49), dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    0.7918 0.3972 ... 0.1466 0.1466

    minval :

    -1.3126332

    maxval :

    0.82849723

    array([[ 0.7918453 ,  0.39715096, -0.1329217 , ..., -0.12014574,
             0.2247582 ,  0.2247582 ],
           [ 0.7899093 ,  0.39642665, -0.13192555, ..., -0.12189429,
             0.22327569,  0.22327569],
           [ 0.7928704 ,  0.3991161 , -0.13057001, ..., -0.12025422,
             0.22508566,  0.22508566],
           ...,
           [ 0.6768181 ,  0.30842125, -0.17169003, ..., -0.16723318,
             0.14678258,  0.14678258],
           [ 0.68507415,  0.31550854, -0.16094321, ..., -0.16706556,
             0.14683735,  0.14683735],
           [ 0.67018056,  0.30157793, -0.17581944, ..., -0.16664416,
             0.146597  ,  0.146597  ]], shape=(2000, 49), dtype=float32)

  • sea_surface_wave_significant_height
    (trajectory, time)
    float32
    1.792 1.928 2.115 ... 0.5624 0.5624

    minval :

    2.3520427e-06

    maxval :

    3.475914

    array([[1.7921773 , 1.9276406 , 2.1151905 , ..., 0.00726488, 0.03311934,
            0.03311934],
           [2.3558314 , 2.3656936 , 2.3589294 , ..., 0.06211594, 0.12791148,
            0.12791148],
           [2.4116664 , 2.0395272 , 1.880095  , ..., 0.15205993, 0.08500713,
            0.08500713],
           ...,
           [1.4024898 , 1.4332869 , 1.5827091 , ..., 0.15506199, 0.26013574,
            0.26013574],
           [0.90193814, 1.0244613 , 0.6363829 , ..., 0.19087966, 0.27844143,
            0.27844143],
           [0.72970045, 0.85544205, 1.0891784 , ..., 0.56240344, 0.56237155,
            0.56237155]], 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
    -4.829 -5.077 ... -4.423 -4.423

    minval :

    -9.592252

    maxval :

    7.9823694

    array([[-4.8294096 , -5.0771394 , -5.1484575 , ..., -0.46913433,
            -0.5962695 , -0.5962695 ],
           [-5.7292585 , -5.453016  , -4.611955  , ..., -1.5412488 ,
            -2.186359  , -2.186359  ],
           [-5.2966065 , -5.083581  , -4.889424  , ..., -0.01360316,
             0.01756869,  0.01756869],
           ...,
           [-5.3029823 , -5.1001916 , -5.260973  , ..., -2.4971874 ,
            -3.1798255 , -3.1798255 ],
           [-5.1507263 , -5.492032  , -4.704746  , ..., -2.7004185 ,
            -3.3548787 , -3.3548787 ],
           [-5.1991186 , -5.6540027 , -5.6719446 , ..., -4.4232664 ,
            -4.4226484 , -4.4226484 ]], shape=(2000, 49), dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    7.038 7.251 7.712 ... -1.817 -1.817

    minval :

    -5.4555516

    maxval :

    11.262323

    array([[ 7.0377226 ,  7.251347  ,  7.712117  , ..., -0.274287  ,
            -0.99537796, -0.99537796],
           [ 7.9335427 ,  8.150523  ,  8.638362  , ..., -0.38676935,
            -0.64767885, -0.64767885],
           [ 8.365476  ,  7.554126  ,  7.2470794 , ...,  2.4861844 ,
             1.8588345 ,  1.8588345 ],
           ...,
           [ 5.374957  ,  5.6790624 ,  6.0547442 , ..., -0.25959182,
            -0.68068606, -0.68068606],
           [ 3.1834216 ,  3.3885617 ,  1.9325094 , ...,  0.6834297 ,
            -0.2520824 , -0.2520824 ],
           [ 1.6222789 ,  1.6752075 ,  3.4791653 , ..., -1.8156651 ,
            -1.8168149 , -1.8168149 ]], shape=(2000, 49), dtype=float32)

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

    minval :

    0.0

    maxval :

    0.0

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

  • sea_floor_depth_below_sea_level
    (trajectory, time)
    float32
    91.6 91.53 91.28 ... 190.2 190.2

    minval :

    29.27904

    maxval :

    230.65536

    array([[ 91.5983  ,  91.534615,  91.27914 , ...,  80.43469 ,  80.21196 ,
             80.21196 ],
           [ 94.49078 ,  93.40401 ,  92.08106 , ...,  76.10207 ,  75.77015 ,
             75.77015 ],
           [ 86.55411 ,  86.187775,  85.56212 , ...,  69.76079 ,  69.94791 ,
             69.94791 ],
           ...,
           [131.81073 , 122.540504, 105.8958  , ..., 171.9323  , 183.18486 ,
            183.18486 ],
           [ 97.58541 ,  84.13107 ,  67.12356 , ..., 171.91797 , 183.05717 ,
            183.05717 ],
           [122.13024 , 109.04191 ,  89.58035 , ..., 179.44803 , 190.21631 ,
            190.21631 ]], 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(['2025-09-12 15:29:26.261550', '2025-09-12 16:29:26.261550',
                   '2025-09-12 17:29:26.261550', '2025-09-12 18:29:26.261550',
                   '2025-09-12 19:29:26.261550', '2025-09-12 20:29:26.261550',
                   '2025-09-12 21:29:26.261550', '2025-09-12 22:29:26.261550',
                   '2025-09-12 23:29:26.261550', '2025-09-13 00:29:26.261550',
                   '2025-09-13 01:29:26.261550', '2025-09-13 02:29:26.261550',
                   '2025-09-13 03:29:26.261550', '2025-09-13 04:29:26.261550',
                   '2025-09-13 05:29:26.261550', '2025-09-13 06:29:26.261550',
                   '2025-09-13 07:29:26.261550', '2025-09-13 08:29:26.261550',
                   '2025-09-13 09:29:26.261550', '2025-09-13 10:29:26.261550',
                   '2025-09-13 11:29:26.261550', '2025-09-13 12:29:26.261550',
                   '2025-09-13 13:29:26.261550', '2025-09-13 14:29:26.261550',
                   '2025-09-13 15:29:26.261550', '2025-09-13 16:29:26.261550',
                   '2025-09-13 17:29:26.261550', '2025-09-13 18:29:26.261550',
                   '2025-09-13 19:29:26.261550', '2025-09-13 20:29:26.261550',
                   '2025-09-13 21:29:26.261550', '2025-09-13 22:29:26.261550',
                   '2025-09-13 23:29:26.261550', '2025-09-14 00:29:26.261550',
                   '2025-09-14 01:29:26.261550', '2025-09-14 02:29:26.261550',
                   '2025-09-14 03:29:26.261550', '2025-09-14 04:29:26.261550',
                   '2025-09-14 05:29:26.261550', '2025-09-14 06:29:26.261550',
                   '2025-09-14 07:29:26.261550', '2025-09-14 08:29:26.261550',
                   '2025-09-14 09:29:26.261550', '2025-09-14 10:29:26.261550',
                   '2025-09-14 11:29:26.261550', '2025-09-14 12:29:26.261550',
                   '2025-09-14 13:29:26.261550', '2025-09-14 14:29:26.261550',
                   '2025-09-14 15:29:26.261550'],
                  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 2025-09-12 15:29:30.538565

  date_created :

  2025-09-12T15:29:30.538581

  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 :

  2025-09-12 15:29:26.261550

  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 :

  1.14.3

  seed_geojson :

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

  simulation_time :

  2025-09-12 15:29:30.608129

  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 :

  2025-09-14 15:29:26.261550

  time_coverage_duration :

  P2DT0H0M0S

  time_coverage_resolution :

  P0DT1H0M0S

  performance :

  -------------------- Reader performance: -------------------- global_landmask 0:00:01.9 total 0:00:00.0 preparing 0:00:01.9 reading 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml 0:00:59.6 total 0:00:00.0 preparing 0:00:59.4 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 0:00:50.6 total 0:00:00.0 preparing 0:00:50.4 reading 0:00:01.1 interpolation 0:00:00.0 interpolation_time 0:00:00.1 rotating vectors 0:00:00.0 masking -------------------- Performance: 2:08.7 total time 4.2 configuration 0.0 preparing main loop 0.0 moving elements to ocean 2:04.3 main loop 3.9 updating elements 3.8 vertical mixing 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  67.4997

  geospatial_lat_max :

  68.37218

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  12.338497

  geospatial_lon_max :

  14.340262

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:02:08.750066

  geospatial_vertical_min :

  -51.479637

  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
 0:00:01.9  total
 0:00:00.0  preparing
 0:00:01.9  reading
 0:00:00.0  masking
--------------------
https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
 0:00:59.6  total
 0:00:00.0  preparing
 0:00:59.4  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
 0:00:50.6  total
 0:00:00.0  preparing
 0:00:50.4  reading
 0:00:01.1  interpolation
 0:00:00.0  interpolation_time
 0:00:00.1  rotating vectors
 0:00:00.0  masking
--------------------
Performance:
 2:08.7 total time
    4.2 configuration
    0.0 preparing main loop
      0.0 moving elements to ocean
 2:04.3 main loop
      3.9 updating elements
        3.8 vertical mixing
    0.0 cleaning up
--------------------
===========================
Model:  PelagicEggDrift     (OpenDrift version 1.14.3)
        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: 2025-09-12 15:29:26.261550 UTC
        Present: 2025-09-14 15:29:26.261550 UTC
        Calculation steps: 48 * 1:00:00 - total time: 2 days, 0:00:00
        Output steps: 49 * 1:00:00
===========================

15:31:35 WARNING opendrift:2444: Plotting fast. This will make your plots less accurate.
15:31:42 WARNING opendrift:2444: Plotting fast. This will make your plots less accurate.
15:31:43 INFO    opendrift:4612: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_0.gif...
15:32:17 INFO    opendrift:3053: Time to make animation: 0:00:34.844192

o.animate_vertical_distribution()

15:32:19 INFO    opendrift:4612: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_1.gif...
15:32:32 INFO    opendrift.models.oceandrift:642: Time to make animation: 0:00:13.248040