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'])

07:36:22 INFO    opendrift:513: OpenDriftSimulation initialised (version 1.14.2 / v1.14.2-90-g1dd1995)

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)

07:36:22 INFO    opendrift.models.basemodel.environment:206: Adding a global landmask from GSHHG
07:36:26 INFO    opendrift.models.basemodel.environment:229: Fallback values will be used for the following variables which have no readers:
07:36:26 INFO    opendrift.models.basemodel.environment:232:    x_sea_water_velocity: 0.000000
07:36:26 INFO    opendrift.models.basemodel.environment:232:    y_sea_water_velocity: 0.000000
07:36:26 INFO    opendrift.models.basemodel.environment:232:    sea_surface_height: 0.000000
07:36:26 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_significant_height: 0.000000
07:36:26 INFO    opendrift.models.basemodel.environment:232:    sea_ice_area_fraction: 0.000000
07:36:26 INFO    opendrift.models.basemodel.environment:232:    x_wind: 0.000000
07:36:26 INFO    opendrift.models.basemodel.environment:232:    y_wind: 0.000000
07:36:26 INFO    opendrift.models.basemodel.environment:232:    sea_floor_depth_below_sea_level: 100.000000
07:36:26 INFO    opendrift.models.basemodel.environment:232:    ocean_vertical_diffusivity: 0.020000
07:36:26 INFO    opendrift.models.basemodel.environment:232:    ocean_mixed_layer_thickness: 50.000000
07:36:26 INFO    opendrift.models.basemodel.environment:232:    sea_water_temperature: 10.000000
07:36:26 INFO    opendrift.models.basemodel.environment:232:    sea_water_salinity: 34.000000
07:36:26 INFO    opendrift.models.basemodel.environment:232:    surface_downward_x_stress: 0.000000
07:36:26 INFO    opendrift.models.basemodel.environment:232:    surface_downward_y_stress: 0.000000
07:36:26 INFO    opendrift.models.basemodel.environment:232:    turbulent_kinetic_energy: 0.000000
07:36:26 INFO    opendrift.models.basemodel.environment:232:    turbulent_generic_length_scale: 0.000000
07:36:26 INFO    opendrift.models.basemodel.environment:232:    upward_sea_water_velocity: 0.000000

Running model

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

07:36:26 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']))
07:36:26 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']))
07:36:26 INFO    opendrift:899: Using existing reader for land_binary_mask
07:36:26 INFO    opendrift:928: All points are in ocean
07:36:26 INFO    opendrift:2035: 2025-07-17 07:36:22.996576 - step 1 of 48 - 2000 active elements (0 deactivated)
07:36:26 INFO    opendrift.readers:61: Opening file with xr.open_dataset
07:36:28 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'x': 'x', 'y': 'y', 'time': 'time'}
07:36:28 INFO    opendrift.readers:61: Opening file with xr.open_dataset
07:36:29 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'time': 'time', 'x': 'x', 'y': 'y'}
07:36:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:36:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:36:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:36:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:36:32 INFO    opendrift:2035: 2025-07-17 08:36:22.996576 - step 2 of 48 - 2000 active elements (0 deactivated)
07:36:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:36:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:36:34 INFO    opendrift:2035: 2025-07-17 09:36:22.996576 - step 3 of 48 - 2000 active elements (0 deactivated)
07:36:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:36:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:36:37 INFO    opendrift:2035: 2025-07-17 10:36:22.996576 - step 4 of 48 - 2000 active elements (0 deactivated)
07:36:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:36:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:36:40 INFO    opendrift:2035: 2025-07-17 11:36:22.996576 - step 5 of 48 - 2000 active elements (0 deactivated)
07:36:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:36:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:36:42 INFO    opendrift:2035: 2025-07-17 12:36:22.996576 - step 6 of 48 - 2000 active elements (0 deactivated)
07:36:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:36:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:36:44 INFO    opendrift:2035: 2025-07-17 13:36:22.996576 - step 7 of 48 - 2000 active elements (0 deactivated)
07:36:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:36:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:36:46 INFO    opendrift:2035: 2025-07-17 14:36:22.996576 - step 8 of 48 - 2000 active elements (0 deactivated)
07:36:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:36:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:36:48 INFO    opendrift:2035: 2025-07-17 15:36:22.996576 - step 9 of 48 - 2000 active elements (0 deactivated)
07:36:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:36:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:36:50 INFO    opendrift:2035: 2025-07-17 16:36:22.996576 - step 10 of 48 - 2000 active elements (0 deactivated)
07:36:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:36:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:36:53 INFO    opendrift:2035: 2025-07-17 17:36:22.996576 - step 11 of 48 - 2000 active elements (0 deactivated)
07:36:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:36:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:36:55 INFO    opendrift:2035: 2025-07-17 18:36:22.996576 - step 12 of 48 - 2000 active elements (0 deactivated)
07:36:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:36:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:36:57 INFO    opendrift:2035: 2025-07-17 19:36:22.996576 - step 13 of 48 - 2000 active elements (0 deactivated)
07:36:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:36:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:36:59 INFO    opendrift:2035: 2025-07-17 20:36:22.996576 - step 14 of 48 - 2000 active elements (0 deactivated)
07:37:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:01 INFO    opendrift:2035: 2025-07-17 21:36:22.996576 - step 15 of 48 - 2000 active elements (0 deactivated)
07:37:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:03 INFO    opendrift:2035: 2025-07-17 22:36:22.996576 - step 16 of 48 - 2000 active elements (0 deactivated)
07:37:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:06 INFO    opendrift:2035: 2025-07-17 23:36:22.996576 - step 17 of 48 - 2000 active elements (0 deactivated)
07:37:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:08 INFO    opendrift:2035: 2025-07-18 00:36:22.996576 - step 18 of 48 - 2000 active elements (0 deactivated)
07:37:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:10 INFO    opendrift:2035: 2025-07-18 01:36:22.996576 - step 19 of 48 - 2000 active elements (0 deactivated)
07:37:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:12 INFO    opendrift:2035: 2025-07-18 02:36:22.996576 - step 20 of 48 - 2000 active elements (0 deactivated)
07:37:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:14 INFO    opendrift:2035: 2025-07-18 03:36:22.996576 - step 21 of 48 - 2000 active elements (0 deactivated)
07:37:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:16 INFO    opendrift:2035: 2025-07-18 04:36:22.996576 - step 22 of 48 - 2000 active elements (0 deactivated)
07:37:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:18 INFO    opendrift:2035: 2025-07-18 05:36:22.996576 - step 23 of 48 - 2000 active elements (0 deactivated)
07:37:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:21 INFO    opendrift:2035: 2025-07-18 06:36:22.996576 - step 24 of 48 - 2000 active elements (0 deactivated)
07:37:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:23 INFO    opendrift:2035: 2025-07-18 07:36:22.996576 - step 25 of 48 - 2000 active elements (0 deactivated)
07:37:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:25 INFO    opendrift:2035: 2025-07-18 08:36:22.996576 - step 26 of 48 - 2000 active elements (0 deactivated)
07:37:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:27 INFO    opendrift:2035: 2025-07-18 09:36:22.996576 - step 27 of 48 - 2000 active elements (0 deactivated)
07:37:30 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:30 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:30 INFO    opendrift:2035: 2025-07-18 10:36:22.996576 - step 28 of 48 - 2000 active elements (0 deactivated)
07:37:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:32 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:32 INFO    opendrift:2035: 2025-07-18 11:36:22.996576 - step 29 of 48 - 2000 active elements (0 deactivated)
07:37:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:35 INFO    opendrift:2035: 2025-07-18 12:36:22.996576 - step 30 of 48 - 2000 active elements (0 deactivated)
07:37:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:37 INFO    opendrift:2035: 2025-07-18 13:36:22.996576 - step 31 of 48 - 2000 active elements (0 deactivated)
07:37:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:39 INFO    opendrift:2035: 2025-07-18 14:36:22.996576 - step 32 of 48 - 2000 active elements (0 deactivated)
07:37:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:41 INFO    opendrift:2035: 2025-07-18 15:36:22.996576 - step 33 of 48 - 2000 active elements (0 deactivated)
07:37:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:43 INFO    opendrift:2035: 2025-07-18 16:36:22.996576 - step 34 of 48 - 2000 active elements (0 deactivated)
07:37:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:46 INFO    opendrift:2035: 2025-07-18 17:36:22.996576 - step 35 of 48 - 2000 active elements (0 deactivated)
07:37:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:48 INFO    opendrift:2035: 2025-07-18 18:36:22.996576 - step 36 of 48 - 2000 active elements (0 deactivated)
07:37:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:50 INFO    opendrift:2035: 2025-07-18 19:36:22.996576 - step 37 of 48 - 2000 active elements (0 deactivated)
07:37:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:52 INFO    opendrift:2035: 2025-07-18 20:36:22.996576 - step 38 of 48 - 2000 active elements (0 deactivated)
07:37:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:55 INFO    opendrift:2035: 2025-07-18 21:36:22.996576 - step 39 of 48 - 2000 active elements (0 deactivated)
07:37:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:57 INFO    opendrift:2035: 2025-07-18 22:36:22.996576 - step 40 of 48 - 2000 active elements (0 deactivated)
07:37:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:37:59 INFO    opendrift:2035: 2025-07-18 23:36:22.996576 - step 41 of 48 - 2000 active elements (0 deactivated)
07:38:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:38:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:38:01 INFO    opendrift:2035: 2025-07-19 00:36:22.996576 - step 42 of 48 - 2000 active elements (0 deactivated)
07:38:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:38:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:38:04 INFO    opendrift:2035: 2025-07-19 01:36:22.996576 - step 43 of 48 - 2000 active elements (0 deactivated)
07:38:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:38:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:38:06 INFO    opendrift:2035: 2025-07-19 02:36:22.996576 - step 44 of 48 - 2000 active elements (0 deactivated)
07:38:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:38:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:38:08 INFO    opendrift:2035: 2025-07-19 03:36:22.996576 - step 45 of 48 - 2000 active elements (0 deactivated)
07:38:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:38:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:38:11 INFO    opendrift:2035: 2025-07-19 04:36:22.996576 - step 46 of 48 - 2000 active elements (0 deactivated)
07:38:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:38:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:38:13 INFO    opendrift:2035: 2025-07-19 05:36:22.996576 - step 47 of 48 - 2000 active elements (0 deactivated)
07:38:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:38:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:38:15 INFO    opendrift:2035: 2025-07-19 06:36:22.996576 - step 48 of 48 - 2000 active elements (0 deactivated)
07:38:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
07:38:17 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:                                                          0:01:54...
    geospatial_vertical_min:                                          -51.306408
    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]
    2025-07-17T07:36:22.996576 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2025-07-17T07:36:22.996576000', '2025-07-17T08:36:22.996576000',
           '2025-07-17T09:36:22.996576000', '2025-07-17T10:36:22.996576000',
           '2025-07-17T11:36:22.996576000', '2025-07-17T12:36:22.996576000',
           '2025-07-17T13:36:22.996576000', '2025-07-17T14:36:22.996576000',
           '2025-07-17T15:36:22.996576000', '2025-07-17T16:36:22.996576000',
           '2025-07-17T17:36:22.996576000', '2025-07-17T18:36:22.996576000',
           '2025-07-17T19:36:22.996576000', '2025-07-17T20:36:22.996576000',
           '2025-07-17T21:36:22.996576000', '2025-07-17T22:36:22.996576000',
           '2025-07-17T23:36:22.996576000', '2025-07-18T00:36:22.996576000',
           '2025-07-18T01:36:22.996576000', '2025-07-18T02:36:22.996576000',
           '2025-07-18T03:36:22.996576000', '2025-07-18T04:36:22.996576000',
           '2025-07-18T05:36:22.996576000', '2025-07-18T06:36:22.996576000',
           '2025-07-18T07:36:22.996576000', '2025-07-18T08:36:22.996576000',
           '2025-07-18T09:36:22.996576000', '2025-07-18T10:36:22.996576000',
           '2025-07-18T11:36:22.996576000', '2025-07-18T12:36:22.996576000',
           '2025-07-18T13:36:22.996576000', '2025-07-18T14:36:22.996576000',
           '2025-07-18T15:36:22.996576000', '2025-07-18T16:36:22.996576000',
           '2025-07-18T17:36:22.996576000', '2025-07-18T18:36:22.996576000',
           '2025-07-18T19:36:22.996576000', '2025-07-18T20:36:22.996576000',
           '2025-07-18T21:36:22.996576000', '2025-07-18T22:36:22.996576000',
           '2025-07-18T23:36:22.996576000', '2025-07-19T00:36:22.996576000',
           '2025-07-19T01:36:22.996576000', '2025-07-19T02:36:22.996576000',
           '2025-07-19T03:36:22.996576000', '2025-07-19T04:36:22.996576000',
           '2025-07-19T05:36:22.996576000', '2025-07-19T06:36:22.996576000',
           '2025-07-19T07:36:22.996576000'], 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 ... 12.92 12.9

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    12.339215

    maxval :

    14.129527

    array([[14.084752 , 14.07119  , 14.059142 , ..., 13.86059  , 13.850286 ,
            13.8413515],
           [14.019218 , 14.007441 , 13.996948 , ..., 13.792167 , 13.781526 ,
            13.771373 ],
           [14.047049 , 14.036546 , 14.027563 , ..., 13.861569 , 13.861569 ,
            13.861569 ],
           ...,
           [13.055853 , 13.030364 , 13.011304 , ..., 12.932977 , 12.918118 ,
            12.899078 ],
           [13.005157 , 12.983214 , 12.970421 , ..., 12.923509 , 12.906519 ,
            12.885374 ],
           [13.002091 , 12.980289 , 12.965491 , ..., 12.936013 , 12.91922  ,
            12.897725 ]], shape=(2000, 49), dtype=float32)

  • lat
    (trajectory, time)
    float32
    68.11 68.11 68.1 ... 67.74 67.73

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    67.60509

    maxval :

    68.33623

    array([[68.10684 , 68.1055  , 68.10458 , ..., 68.11021 , 68.11159 ,
            68.11298 ],
           [68.09939 , 68.09783 , 68.09667 , ..., 68.09758 , 68.09801 ,
            68.09827 ],
           [68.11965 , 68.11856 , 68.11754 , ..., 68.12288 , 68.12288 ,
            68.12288 ],
           ...,
           [67.79944 , 67.79696 , 67.796074, ..., 67.77203 , 67.7685  ,
            67.767044],
           [67.82828 , 67.82758 , 67.82766 , ..., 67.78147 , 67.77855 ,
            67.777824],
           [67.78542 , 67.78476 , 67.78456 , ..., 67.74432 , 67.73807 ,
            67.7346  ]], shape=(2000, 49), dtype=float32)

  • z
    (trajectory, time)
    float32
    -40.0 -47.39 ... -6.08 -6.774

    dtype :

    <class 'numpy.float32'>

    units :

    m

    standard_name :

    z

    long_name :

    vertical position

    axis :

    Z

    positive :

    up

    minval :

    -51.306408

    maxval :

    0.0

    array([[-40.       , -47.386345 , -45.36273  , ...,  -2.1197102,
             -1.0731293,  -0.799036 ],
           [-40.       , -42.766304 , -41.305958 , ...,  -5.5052133,
             -5.72833  , -19.053936 ],
           [-40.       , -29.26918  , -15.1877   , ...,  -5.1176176,
             -0.7526266,  -7.0864983],
           ...,
           [-40.       , -37.436565 , -34.483803 , ...,  -7.1340766,
             -8.229182 ,  -7.563332 ],
           [-40.       , -29.443068 , -14.912486 , ...,  -4.649367 ,
             -1.5955595,  -4.2917395],
           [-40.       , -40.418667 , -26.200949 , ...,  -7.681569 ,
             -6.079734 ,  -6.7736163]], 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
    -0.1568 -0.1393 ... -0.2526 -0.2526

    minval :

    -0.8670879

    maxval :

    0.69530725

    array([[-0.15683888, -0.13932319, -0.11030579, ..., -0.11913975,
            -0.10328163, -0.10328163],
           [-0.13625161, -0.12137802, -0.09648386, ..., -0.12310462,
            -0.11744604, -0.11744604],
           [-0.121387  , -0.1038226 , -0.08026886, ..., -0.11481592,
            -0.09486869, -0.09486869],
           ...,
           [-0.2987026 , -0.22337128, -0.10362512, ..., -0.17433913,
            -0.22340134, -0.22340134],
           [-0.2568055 , -0.14973848, -0.0126305 , ..., -0.19925864,
            -0.24799097, -0.24799097],
           [-0.2556283 , -0.1735032 , -0.04999516, ..., -0.19729234,
            -0.25257263, -0.25257263]], shape=(2000, 49), dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    -0.0416 -0.02838 ... -0.1075

    minval :

    -0.5839223

    maxval :

    0.8262008

    array([[-0.04159851, -0.02837782, -0.00937759, ...,  0.04287112,
             0.04316929,  0.04316929],
           [-0.04813037, -0.03607123, -0.01826348, ...,  0.0131937 ,
             0.00807164,  0.00807164],
           [-0.03368592, -0.03172844, -0.02398307, ...,  0.04057793,
             0.04396826,  0.04396826],
           ...,
           [-0.07680658, -0.02724364, -0.00526826, ..., -0.10946044,
            -0.04517409, -0.04517409],
           [-0.02141146,  0.00232541, -0.00100827, ..., -0.09033836,
            -0.02253104, -0.02253104],
           [-0.02059102, -0.00608923, -0.02428323, ..., -0.19372617,
            -0.10752467, -0.10752467]], shape=(2000, 49), dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    -0.8698 -1.289 ... 0.1929 0.1929

    minval :

    -1.51239

    maxval :

    0.61099327

    array([[-0.86976683, -1.289475  , -1.5097452 , ...,  0.424146  ,
             0.2651977 ,  0.2651977 ],
           [-0.868175  , -1.2870352 , -1.5072975 , ...,  0.42218274,
             0.26421893,  0.26421893],
           [-0.8659943 , -1.2860065 , -1.5072976 , ...,  0.42497385,
             0.26650542,  0.26650542],
           ...,
           [-0.8450638 , -1.2313511 , -1.432598  , ...,  0.35266808,
             0.19573267,  0.19573267],
           [-0.8349211 , -1.2207167 , -1.4262571 , ...,  0.3527877 ,
             0.1965616 ,  0.1965616 ],
           [-0.8456465 , -1.227668  , -1.4263349 , ...,  0.3513971 ,
             0.19286922,  0.19286922]], shape=(2000, 49), dtype=float32)

  • sea_surface_wave_significant_height
    (trajectory, time)
    float32
    0.1994 0.2295 ... 0.1197 0.1197

    minval :

    3.5621667e-06

    maxval :

    1.948703

    array([[0.19943215, 0.2294879 , 0.19335788, ..., 0.08237907, 0.09505665,
            0.09505665],
           [0.19763389, 0.19452676, 0.12626827, ..., 0.07452543, 0.0903993 ,
            0.0903993 ],
           [0.24960369, 0.30391517, 0.26002547, ..., 0.02640482, 0.01588695,
            0.01588695],
           ...,
           [0.58672416, 0.5485975 , 0.5440784 , ..., 0.01387088, 0.03939652,
            0.03939652],
           [0.71643883, 0.741842  , 0.6647902 , ..., 0.14541781, 0.27668068,
            0.27668068],
           [0.6883677 , 0.68765026, 0.66819066, ..., 0.090221  , 0.11967451,
            0.11967451]], 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
    -2.633 -2.963 ... -0.8222 -0.8222

    minval :

    -8.853976

    maxval :

    6.5983267

    array([[-2.6334543 , -2.9633427 , -2.802599  , ..., -1.5074195 ,
            -1.5833232 , -1.5833232 ],
           [-2.5236835 , -2.6646445 , -2.2472985 , ..., -1.5701234 ,
            -1.8603424 , -1.8603424 ],
           [-3.1194963 , -3.512881  , -3.1600788 , ..., -0.7495877 ,
            -0.80235   , -0.80235   ],
           ...,
           [-2.626364  , -2.7831845 , -2.7817237 , ..., -0.30798575,
            -0.45855066, -0.45855066],
           [-3.4257748 , -4.0708237 , -3.9968984 , ..., -2.306104  ,
            -3.1429725 , -3.1429725 ],
           [-3.3951225 , -3.5513747 , -3.57783   , ..., -0.91095525,
            -0.8221915 , -0.8221915 ]], shape=(2000, 49), dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    -1.083 -0.7398 ... -2.047 -2.047

    minval :

    -7.8030634

    maxval :

    6.2395706

    array([[-1.0825508 , -0.7398491 ,  0.0742728 , ..., -1.0375111 ,
            -1.1649803 , -1.1649803 ],
           [-1.2903183 , -0.898478  , -0.2872378 , ..., -0.7511335 ,
            -0.46248722, -0.46248722],
           [-0.6443866 , -0.11808102,  0.7642281 , ..., -0.7151819 ,
            -0.04522669, -0.04522669],
           ...,
           [-4.1173763 , -3.8150487 , -3.7919676 , ..., -0.68483686,
            -1.1794981 , -1.1794981 ],
           [-4.169844  , -3.6857255 , -3.3239732 , ..., -0.770181  ,
            -1.1700025 , -1.1700025 ],
           [-4.056547  , -3.9167588 , -3.7896378 , ..., -1.6845417 ,
            -2.0466604 , -2.0466604 ]], 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 92.38 92.99 ... 120.9 120.9

    minval :

    33.65512

    maxval :

    228.3695

    array([[ 91.5983  ,  92.37517 ,  92.99028 , ...,  66.815994,  63.081673,
             63.081673],
           [ 94.49078 ,  93.635635,  92.86611 , ...,  64.19055 ,  62.17228 ,
             62.17228 ],
           [ 86.55411 ,  87.24488 ,  87.84862 , ...,  57.69442 ,  54.125862,
             54.125862],
           ...,
           [131.81073 , 124.826775, 119.00873 , ..., 104.98576 , 101.75726 ,
            101.75726 ],
           [ 97.5854  ,  90.692184,  86.46437 , ...,  96.34293 ,  92.03764 ,
             92.03764 ],
           [122.13023 , 114.74695 , 109.58548 , ..., 123.06131 , 120.904816,
            120.904816]], 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(['2025-07-17 07:36:22.996576', '2025-07-17 08:36:22.996576',
                   '2025-07-17 09:36:22.996576', '2025-07-17 10:36:22.996576',
                   '2025-07-17 11:36:22.996576', '2025-07-17 12:36:22.996576',
                   '2025-07-17 13:36:22.996576', '2025-07-17 14:36:22.996576',
                   '2025-07-17 15:36:22.996576', '2025-07-17 16:36:22.996576',
                   '2025-07-17 17:36:22.996576', '2025-07-17 18:36:22.996576',
                   '2025-07-17 19:36:22.996576', '2025-07-17 20:36:22.996576',
                   '2025-07-17 21:36:22.996576', '2025-07-17 22:36:22.996576',
                   '2025-07-17 23:36:22.996576', '2025-07-18 00:36:22.996576',
                   '2025-07-18 01:36:22.996576', '2025-07-18 02:36:22.996576',
                   '2025-07-18 03:36:22.996576', '2025-07-18 04:36:22.996576',
                   '2025-07-18 05:36:22.996576', '2025-07-18 06:36:22.996576',
                   '2025-07-18 07:36:22.996576', '2025-07-18 08:36:22.996576',
                   '2025-07-18 09:36:22.996576', '2025-07-18 10:36:22.996576',
                   '2025-07-18 11:36:22.996576', '2025-07-18 12:36:22.996576',
                   '2025-07-18 13:36:22.996576', '2025-07-18 14:36:22.996576',
                   '2025-07-18 15:36:22.996576', '2025-07-18 16:36:22.996576',
                   '2025-07-18 17:36:22.996576', '2025-07-18 18:36:22.996576',
                   '2025-07-18 19:36:22.996576', '2025-07-18 20:36:22.996576',
                   '2025-07-18 21:36:22.996576', '2025-07-18 22:36:22.996576',
                   '2025-07-18 23:36:22.996576', '2025-07-19 00:36:22.996576',
                   '2025-07-19 01:36:22.996576', '2025-07-19 02:36:22.996576',
                   '2025-07-19 03:36:22.996576', '2025-07-19 04:36:22.996576',
                   '2025-07-19 05:36:22.996576', '2025-07-19 06:36:22.996576',
                   '2025-07-19 07:36:22.996576'],
                  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 2025-07-17 07:36:26.893523

  date_created :

  2025-07-17T07:36:26.893533

  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 :

  2025-07-17 07:36:22.996576

  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 :

  2025-07-17 07:36:26.957187

  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 :

  2025-07-19 07:36:22.996576

  time_coverage_duration :

  P2DT0H0M0S

  time_coverage_resolution :

  P0DT1H0M0S

  performance :

  -------------------- Reader performance: -------------------- global_landmask 0:00:01.4 total 0:00:00.0 preparing 0:00:01.4 reading 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml 0:00:58.1 total 0:00:00.0 preparing 0:00:57.9 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 0:00:43.8 total 0:00:00.0 preparing 0:00:43.6 reading 0:00:00.8 interpolation 0:00:00.0 interpolation_time 0:00:00.1 rotating vectors 0:00:00.0 masking -------------------- Performance: 1:54.7 total time 3.9 configuration 0.0 preparing main loop 0.0 moving elements to ocean 1:50.7 main loop 2.9 updating elements 2.8 vertical mixing 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  67.60509

  geospatial_lat_max :

  68.33623

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  12.339215

  geospatial_lon_max :

  14.129527

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:01:54.737211

  geospatial_vertical_min :

  -51.306408

  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
 0:00:01.4  total
 0:00:00.0  preparing
 0:00:01.4  reading
 0:00:00.0  masking
--------------------
https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
 0:00:58.1  total
 0:00:00.0  preparing
 0:00:57.9  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
 0:00:43.8  total
 0:00:00.0  preparing
 0:00:43.6  reading
 0:00:00.8  interpolation
 0:00:00.0  interpolation_time
 0:00:00.1  rotating vectors
 0:00:00.0  masking
--------------------
Performance:
 1:54.7 total time
    3.9 configuration
    0.0 preparing main loop
      0.0 moving elements to ocean
 1:50.7 main loop
      2.9 updating elements
        2.8 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: 2025-07-17 07:36:22.996576 UTC
        Present: 2025-07-19 07:36:22.996576 UTC
        Calculation steps: 48 * 1:00:00 - total time: 2 days, 0:00:00
        Output steps: 49 * 1:00:00
===========================

07:38:17 WARNING opendrift:2391: Plotting fast. This will make your plots less accurate.
07:38:23 WARNING opendrift:2391: Plotting fast. This will make your plots less accurate.
07:38:24 INFO    opendrift:4553: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_0.gif...
07:38:57 INFO    opendrift:2994: Time to make animation: 0:00:33.648462

o.animate_vertical_distribution()

07:38:58 INFO    opendrift:4553: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_1.gif...
07:39:09 INFO    opendrift.models.oceandrift:633: Time to make animation: 0:00:11.111752