Cod egg

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

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

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

17:08:37 INFO    opendrift:509: OpenDriftSimulation initialised (version 1.13.0 / v1.13.0-15-g93fccf7)

Adjusting some configuration

o.set_config('drift:vertical_mixing', True)
o.set_config('vertical_mixing:diffusivitymodel', 'windspeed_Sundby1983') # windspeed parameterization for eddy diffusivity

Vertical mixing requires fast time step

o.set_config('vertical_mixing:timestep', 60.) # seconds

spawn NEA cod eggs at defined position and time

time = datetime.utcnow()
o.seed_elements(14. , 68.1, z=-40, radius=2000, number=500,
                time=time, diameter=0.0014, neutral_buoyancy_salinity=31.25)
o.seed_elements(12.5, 68., z=-40, radius=2000, number=500,
                time=time, diameter=0.0014, neutral_buoyancy_salinity=31.25)
o.seed_elements(13.5, 68., z=-40, radius=2000, number=500,
                time=time, diameter=0.0014, neutral_buoyancy_salinity=31.25)
o.seed_elements(13., 67.8, z=-40, radius=2000, number=500,
                time=time, diameter=0.0014, neutral_buoyancy_salinity=31.25)

17:08:37 INFO    opendrift.models.basemodel.environment:206: Adding a dynamical landmask with max. priority based on assumed maximum speed of 2.0 m/s. Adding a customised landmask may be faster...
17:08:41 INFO    opendrift.models.basemodel.environment:233: Fallback values will be used for the following variables which have no readers:
17:08:41 INFO    opendrift.models.basemodel.environment:236:    x_sea_water_velocity: 0.000000
17:08:41 INFO    opendrift.models.basemodel.environment:236:    y_sea_water_velocity: 0.000000
17:08:41 INFO    opendrift.models.basemodel.environment:236:    sea_surface_height: 0.000000
17:08:41 INFO    opendrift.models.basemodel.environment:236:    sea_surface_wave_significant_height: 0.000000
17:08:41 INFO    opendrift.models.basemodel.environment:236:    sea_ice_area_fraction: 0.000000
17:08:41 INFO    opendrift.models.basemodel.environment:236:    x_wind: 0.000000
17:08:41 INFO    opendrift.models.basemodel.environment:236:    y_wind: 0.000000
17:08:41 INFO    opendrift.models.basemodel.environment:236:    sea_floor_depth_below_sea_level: 100.000000
17:08:41 INFO    opendrift.models.basemodel.environment:236:    ocean_vertical_diffusivity: 0.020000
17:08:41 INFO    opendrift.models.basemodel.environment:236:    ocean_mixed_layer_thickness: 50.000000
17:08:41 INFO    opendrift.models.basemodel.environment:236:    sea_water_temperature: 10.000000
17:08:41 INFO    opendrift.models.basemodel.environment:236:    sea_water_salinity: 34.000000
17:08:41 INFO    opendrift.models.basemodel.environment:236:    surface_downward_x_stress: 0.000000
17:08:41 INFO    opendrift.models.basemodel.environment:236:    surface_downward_y_stress: 0.000000
17:08:41 INFO    opendrift.models.basemodel.environment:236:    turbulent_kinetic_energy: 0.000000
17:08:41 INFO    opendrift.models.basemodel.environment:236:    turbulent_generic_length_scale: 0.000000
17:08:41 INFO    opendrift.models.basemodel.environment:236:    upward_sea_water_velocity: 0.000000

Running model

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

17:08:41 INFO    opendrift:919: Using existing reader for land_binary_mask
17:08:41 INFO    opendrift:930: All points are in ocean
17:08:41 INFO    opendrift:2056: 2025-02-18 17:08:37.430644 - step 1 of 48 - 2000 active elements (0 deactivated)
17:08:41 INFO    opendrift.readers:58: Opening file with xr.open_dataset
17:08:43 INFO    opendrift.readers.reader_netCDF_CF_generic:338: Detected dimensions: {'x': 'x', 'y': 'y', 'time': 'time'}
17:08:43 INFO    opendrift.readers:58: Opening file with xr.open_dataset
17:08:44 INFO    opendrift.readers.reader_netCDF_CF_generic:338: Detected dimensions: {'time': 'time', 'x': 'x', 'y': 'y'}
17:08:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:08:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:08:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:08:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:08:48 INFO    opendrift:2056: 2025-02-18 18:08:37.430644 - step 2 of 48 - 2000 active elements (0 deactivated)
17:08:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:08:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:08:51 INFO    opendrift:2056: 2025-02-18 19:08:37.430644 - step 3 of 48 - 2000 active elements (0 deactivated)
17:08:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:08:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:08:53 INFO    opendrift:2056: 2025-02-18 20:08:37.430644 - step 4 of 48 - 2000 active elements (0 deactivated)
17:08:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:08:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:08:55 INFO    opendrift:2056: 2025-02-18 21:08:37.430644 - step 5 of 48 - 2000 active elements (0 deactivated)
17:08:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:08:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:08:57 INFO    opendrift:2056: 2025-02-18 22:08:37.430644 - step 6 of 48 - 2000 active elements (0 deactivated)
17:08:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:08:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:08:59 INFO    opendrift:2056: 2025-02-18 23:08:37.430644 - step 7 of 48 - 2000 active elements (0 deactivated)
17:09:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:02 INFO    opendrift:2056: 2025-02-19 00:08:37.430644 - step 8 of 48 - 2000 active elements (0 deactivated)
17:09:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:04 INFO    opendrift:2056: 2025-02-19 01:08:37.430644 - step 9 of 48 - 2000 active elements (0 deactivated)
17:09:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:06 INFO    opendrift:2056: 2025-02-19 02:08:37.430644 - step 10 of 48 - 2000 active elements (0 deactivated)
17:09:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:07 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:07 INFO    opendrift:2056: 2025-02-19 03:08:37.430644 - step 11 of 48 - 2000 active elements (0 deactivated)
17:09:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:09 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:09 INFO    opendrift:2056: 2025-02-19 04:08:37.430644 - step 12 of 48 - 2000 active elements (0 deactivated)
17:09:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:12 INFO    opendrift:2056: 2025-02-19 05:08:37.430644 - step 13 of 48 - 2000 active elements (0 deactivated)
17:09:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:13 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:14 INFO    opendrift:2056: 2025-02-19 06:08:37.430644 - step 14 of 48 - 2000 active elements (0 deactivated)
17:09:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:16 INFO    opendrift:2056: 2025-02-19 07:08:37.430644 - step 15 of 48 - 2000 active elements (0 deactivated)
17:09:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:18 INFO    opendrift:2056: 2025-02-19 08:08:37.430644 - step 16 of 48 - 2000 active elements (0 deactivated)
17:09:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:20 INFO    opendrift:2056: 2025-02-19 09:08:37.430644 - step 17 of 48 - 2000 active elements (0 deactivated)
17:09:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:22 INFO    opendrift:2056: 2025-02-19 10:08:37.430644 - step 18 of 48 - 2000 active elements (0 deactivated)
17:09:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:25 INFO    opendrift:2056: 2025-02-19 11:08:37.430644 - step 19 of 48 - 2000 active elements (0 deactivated)
17:09:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:27 INFO    opendrift:2056: 2025-02-19 12:08:37.430644 - step 20 of 48 - 2000 active elements (0 deactivated)
17:09:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:29 INFO    opendrift:2056: 2025-02-19 13:08:37.430644 - step 21 of 48 - 2000 active elements (0 deactivated)
17:09:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:31 INFO    opendrift:2056: 2025-02-19 14:08:37.430644 - step 22 of 48 - 2000 active elements (0 deactivated)
17:09:33 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:33 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:33 INFO    opendrift:2056: 2025-02-19 15:08:37.430644 - step 23 of 48 - 2000 active elements (0 deactivated)
17:09:35 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:35 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:35 INFO    opendrift:2056: 2025-02-19 16:08:37.430644 - step 24 of 48 - 2000 active elements (0 deactivated)
17:09:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:37 INFO    opendrift:2056: 2025-02-19 17:08:37.430644 - step 25 of 48 - 2000 active elements (0 deactivated)
17:09:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:39 INFO    opendrift:2056: 2025-02-19 18:08:37.430644 - step 26 of 48 - 2000 active elements (0 deactivated)
17:09:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:41 INFO    opendrift:2056: 2025-02-19 19:08:37.430644 - step 27 of 48 - 2000 active elements (0 deactivated)
17:09:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:45 INFO    opendrift:2056: 2025-02-19 20:08:37.430644 - step 28 of 48 - 2000 active elements (0 deactivated)
17:09:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:47 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:47 INFO    opendrift:2056: 2025-02-19 21:08:37.430644 - step 29 of 48 - 2000 active elements (0 deactivated)
17:09:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:49 INFO    opendrift:2056: 2025-02-19 22:08:37.430644 - step 30 of 48 - 2000 active elements (0 deactivated)
17:09:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:51 INFO    opendrift:2056: 2025-02-19 23:08:37.430644 - step 31 of 48 - 2000 active elements (0 deactivated)
17:09:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:53 INFO    opendrift:2056: 2025-02-20 00:08:37.430644 - step 32 of 48 - 2000 active elements (0 deactivated)
17:09:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:55 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:55 INFO    opendrift:2056: 2025-02-20 01:08:37.430644 - step 33 of 48 - 2000 active elements (0 deactivated)
17:09:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:57 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:57 INFO    opendrift:2056: 2025-02-20 02:08:37.430644 - step 34 of 48 - 2000 active elements (0 deactivated)
17:09:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:09:59 INFO    opendrift:2056: 2025-02-20 03:08:37.430644 - step 35 of 48 - 2000 active elements (0 deactivated)
17:10:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:01 INFO    opendrift:2056: 2025-02-20 04:08:37.430644 - step 36 of 48 - 2000 active elements (0 deactivated)
17:10:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:03 INFO    opendrift:2056: 2025-02-20 05:08:37.430644 - step 37 of 48 - 2000 active elements (0 deactivated)
17:10:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:06 INFO    opendrift:2056: 2025-02-20 06:08:37.430644 - step 38 of 48 - 2000 active elements (0 deactivated)
17:10:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:08 INFO    opendrift:2056: 2025-02-20 07:08:37.430644 - step 39 of 48 - 2000 active elements (0 deactivated)
17:10:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:10 INFO    opendrift:2056: 2025-02-20 08:08:37.430644 - step 40 of 48 - 2000 active elements (0 deactivated)
17:10:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:11 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:12 INFO    opendrift:2056: 2025-02-20 09:08:37.430644 - step 41 of 48 - 2000 active elements (0 deactivated)
17:10:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:14 INFO    opendrift:2056: 2025-02-20 10:08:37.430644 - step 42 of 48 - 2000 active elements (0 deactivated)
17:10:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:16 INFO    opendrift:2056: 2025-02-20 11:08:37.430644 - step 43 of 48 - 2000 active elements (0 deactivated)
17:10:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:18 INFO    opendrift:2056: 2025-02-20 12:08:37.430644 - step 44 of 48 - 2000 active elements (0 deactivated)
17:10:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:20 INFO    opendrift:2056: 2025-02-20 13:08:37.430644 - step 45 of 48 - 2000 active elements (0 deactivated)
17:10:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:23 INFO    opendrift:2056: 2025-02-20 14:08:37.430644 - step 46 of 48 - 2000 active elements (0 deactivated)
17:10:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:24 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:25 INFO    opendrift:2056: 2025-02-20 15:08:37.430644 - step 47 of 48 - 2000 active elements (0 deactivated)
17:10:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:26 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:26 INFO    opendrift:2056: 2025-02-20 16:08:37.430644 - step 48 of 48 - 2000 active elements (0 deactivated)
17:10:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
17:10:29 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 2025-02-1...
Data variables: (12/32)
    status                               (trajectory, time) float32 392kB 0.0...
    moving                               (trajectory, time) float32 392kB 1.0...
    age_seconds                          (trajectory, time) float32 392kB 0.0...
    origin_marker                        (trajectory, time) float32 392kB 0.0...
    lon                                  (trajectory, time) float32 392kB 14....
    lat                                  (trajectory, time) float32 392kB 68....
    ...                                   ...
    sea_water_salinity                   (trajectory, time) float32 392kB 34....
    surface_downward_x_stress            (trajectory, time) float32 392kB 0.0...
    surface_downward_y_stress            (trajectory, time) float32 392kB 0.0...
    turbulent_kinetic_energy             (trajectory, time) float32 392kB 0.0...
    turbulent_generic_length_scale       (trajectory, time) float32 392kB 0.0...
    upward_sea_water_velocity            (trajectory, time) float32 392kB 0.0...
Attributes: (12/136)
    Conventions:                                                      CF-1.11...
    standard_name_vocabulary:                                         CF Stan...
    featureType:                                                      trajectory
    title:                                                            OpenDri...
    summary:                                                          Output ...
    keywords:                                                         traject...
    ...                                                               ...
    geospatial_lon_units:                                             degrees...
    geospatial_lon_resolution:                                        point
    runtime:                                                          0:01:52...
    geospatial_vertical_min:                                          -53.05825
    geospatial_vertical_max:                                          -0.0001...
    geospatial_vertical_positive:                                     up

xarray.Dataset

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

    cf_role :

    trajectory_id

    dtype :

    <class 'numpy.int32'>

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

  • time
    (time)
    datetime64[ns]
    2025-02-18T17:08:37.430644 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2025-02-18T17:08:37.430644000', '2025-02-18T18:08:37.430644000',
           '2025-02-18T19:08:37.430644000', '2025-02-18T20:08:37.430644000',
           '2025-02-18T21:08:37.430644000', '2025-02-18T22:08:37.430644000',
           '2025-02-18T23:08:37.430644000', '2025-02-19T00:08:37.430644000',
           '2025-02-19T01:08:37.430644000', '2025-02-19T02:08:37.430644000',
           '2025-02-19T03:08:37.430644000', '2025-02-19T04:08:37.430644000',
           '2025-02-19T05:08:37.430644000', '2025-02-19T06:08:37.430644000',
           '2025-02-19T07:08:37.430644000', '2025-02-19T08:08:37.430644000',
           '2025-02-19T09:08:37.430644000', '2025-02-19T10:08:37.430644000',
           '2025-02-19T11:08:37.430644000', '2025-02-19T12:08:37.430644000',
           '2025-02-19T13:08:37.430644000', '2025-02-19T14:08:37.430644000',
           '2025-02-19T15:08:37.430644000', '2025-02-19T16:08:37.430644000',
           '2025-02-19T17:08:37.430644000', '2025-02-19T18:08:37.430644000',
           '2025-02-19T19:08:37.430644000', '2025-02-19T20:08:37.430644000',
           '2025-02-19T21:08:37.430644000', '2025-02-19T22:08:37.430644000',
           '2025-02-19T23:08:37.430644000', '2025-02-20T00:08:37.430644000',
           '2025-02-20T01:08:37.430644000', '2025-02-20T02:08:37.430644000',
           '2025-02-20T03:08:37.430644000', '2025-02-20T04:08:37.430644000',
           '2025-02-20T05:08:37.430644000', '2025-02-20T06:08:37.430644000',
           '2025-02-20T07:08:37.430644000', '2025-02-20T08:08:37.430644000',
           '2025-02-20T09:08:37.430644000', '2025-02-20T10:08:37.430644000',
           '2025-02-20T11:08:37.430644000', '2025-02-20T12:08:37.430644000',
           '2025-02-20T13:08:37.430644000', '2025-02-20T14:08:37.430644000',
           '2025-02-20T15:08:37.430644000', '2025-02-20T16:08:37.430644000',
           '2025-02-20T17:08:37.430644000'], dtype='datetime64[ns]')

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

    dtype :

    <class 'numpy.int32'>

    valid_range :

    [0 0]

    flag_values :

    [0]

    flag_meanings :

    active

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

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

    dtype :

    <class 'numpy.int32'>

    minval :

    1

    maxval :

    1

    array([[1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.],
           ...,
           [1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.]], dtype=float32)

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

    dtype :

    <class 'numpy.float32'>

    units :

    s

    minval :

    0.0

    maxval :

    172800.0

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

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

    dtype :

    <class 'numpy.int32'>

    unit :

    description :

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

    flag_values :

    [0 1 2 3]

    flag_meanings :

    Seed_0 Seed_1 Seed_2 Seed_3

    minval :

    0

    maxval :

    3

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

  • lon
    (trajectory, time)
    float32
    14.08 14.08 14.08 ... 13.37 13.37

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    12.35679

    maxval :

    14.405021

    array([[14.084752 , 14.079545 , 14.075226 , ..., 14.292641 , 14.2936945,
            14.29283  ],
           [14.019218 , 14.014691 , 14.011126 , ..., 14.241127 , 14.242473 ,
            14.241823 ],
           [14.047049 , 14.042464 , 14.038756 , ..., 14.235533 , 14.236533 ,
            14.23554  ],
           ...,
           [13.055853 , 13.045667 , 13.039011 , ..., 13.407367 , 13.409337 ,
            13.408318 ],
           [13.005157 , 12.989812 , 12.979342 , ..., 13.342879 , 13.346247 ,
            13.347005 ],
           [13.002091 , 12.988752 , 12.979392 , ..., 13.36802  , 13.371092 ,
            13.371091 ]], dtype=float32)

  • lat
    (trajectory, time)
    float32
    68.11 68.11 68.11 ... 67.86 67.86

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    67.702286

    maxval :

    68.38862

    array([[68.10684 , 68.10626 , 68.10539 , ..., 68.09784 , 68.09795 ,
            68.09771 ],
           [68.09939 , 68.09883 , 68.09804 , ..., 68.090195, 68.09017 ,
            68.0898  ],
           [68.11965 , 68.1193  , 68.11866 , ..., 68.11276 , 68.11272 ,
            68.1124  ],
           ...,
           [67.79944 , 67.80334 , 67.80692 , ..., 67.849655, 67.851456,
            67.85288 ],
           [67.82828 , 67.83366 , 67.83943 , ..., 67.9211  , 67.922485,
            67.923416],
           [67.78542 , 67.791016, 67.79648 , ..., 67.86154 , 67.863144,
            67.86434 ]], dtype=float32)

  • z
    (trajectory, time)
    float32
    -40.0 -49.61 ... -34.19 -36.73

    dtype :

    <class 'numpy.float32'>

    units :

    m

    standard_name :

    z

    long_name :

    vertical position

    axis :

    Z

    positive :

    up

    minval :

    -53.05825

    maxval :

    -0.00019510982

    array([[-40.       , -49.6053   , -44.78244  , ...,  -3.1392179,
             -1.4331172,  -0.5050476],
           [-40.       , -44.505302 , -43.428856 , ...,  -6.5964603,
             -6.0578866, -20.341957 ],
           [-40.       , -29.131365 , -15.728341 , ...,  -8.537781 ,
             -1.6140797,  -8.376826 ],
           ...,
           [-40.       , -37.129017 , -33.78217  , ..., -35.135452 ,
            -35.90536  , -38.243553 ],
           [-40.       , -30.632318 , -18.109983 , ..., -19.694607 ,
             -1.281235 ,  -6.481741 ],
           [-40.       , -39.695885 , -26.975403 , ..., -34.331505 ,
            -34.18569  , -36.732212 ]], dtype=float32)

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

    dtype :

    <class 'numpy.float32'>

    units :

    1

    description :

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

    minval :

    0.02

    maxval :

    0.02

    array([[0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           ...,
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02]], dtype=float32)

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

    dtype :

    <class 'numpy.float32'>

    units :

    1

    description :

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

    minval :

    1.0

    maxval :

    1.0

    array([[1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.],
           ...,
           [1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.]], dtype=float32)

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

    dtype :

    <class 'numpy.float32'>

    units :

    m/s

    description :

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

    minval :

    0.0

    maxval :

    0.0013238009

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

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

    dtype :

    <class 'numpy.float32'>

    units :

    m

    minval :

    0.0014

    maxval :

    0.0014

    array([[0.0014, 0.0014, 0.0014, ..., 0.0014, 0.0014, 0.0014],
           [0.0014, 0.0014, 0.0014, ..., 0.0014, 0.0014, 0.0014],
           [0.0014, 0.0014, 0.0014, ..., 0.0014, 0.0014, 0.0014],
           ...,
           [0.0014, 0.0014, 0.0014, ..., 0.0014, 0.0014, 0.0014],
           [0.0014, 0.0014, 0.0014, ..., 0.0014, 0.0014, 0.0014],
           [0.0014, 0.0014, 0.0014, ..., 0.0014, 0.0014, 0.0014]],
          dtype=float32)

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

    dtype :

    <class 'numpy.float32'>

    units :

    []

    minval :

    31.25

    maxval :

    31.25

    array([[31.25, 31.25, 31.25, ..., 31.25, 31.25, 31.25],
           [31.25, 31.25, 31.25, ..., 31.25, 31.25, 31.25],
           [31.25, 31.25, 31.25, ..., 31.25, 31.25, 31.25],
           ...,
           [31.25, 31.25, 31.25, ..., 31.25, 31.25, 31.25],
           [31.25, 31.25, 31.25, ..., 31.25, 31.25, 31.25],
           [31.25, 31.25, 31.25, ..., 31.25, 31.25, 31.25]], dtype=float32)

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

    dtype :

    <class 'numpy.float32'>

    units :

    kg/m^3

    minval :

    1028.0

    maxval :

    1028.0

    array([[1028., 1028., 1028., ..., 1028., 1028., 1028.],
           [1028., 1028., 1028., ..., 1028., 1028., 1028.],
           [1028., 1028., 1028., ..., 1028., 1028., 1028.],
           ...,
           [1028., 1028., 1028., ..., 1028., 1028., 1028.],
           [1028., 1028., 1028., ..., 1028., 1028., 1028.],
           [1028., 1028., 1028., ..., 1028., 1028., 1028.]], dtype=float32)

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

    dtype :

    <class 'numpy.float32'>

    units :

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

  • x_sea_water_velocity
    (trajectory, time)
    float32
    -0.06021 -0.04995 ... -9.803e-06

    minval :

    -0.42740253

    maxval :

    0.50526005

    array([[-6.0208868e-02, -4.9948659e-02, -3.3492167e-02, ...,
             1.2193611e-02, -1.0002564e-02, -1.0002564e-02],
           [-5.2362461e-02, -4.1250709e-02, -2.4177087e-02, ...,
             1.5572289e-02, -7.5197266e-03, -7.5197266e-03],
           [-5.2986708e-02, -4.2850543e-02, -2.7712556e-02, ...,
             1.1565759e-02, -1.1485539e-02, -1.1485539e-02],
           ...,
           [-1.1934155e-01, -7.7954873e-02, -9.4696144e-03, ...,
             2.3029061e-02, -1.1910132e-02, -1.1910132e-02],
           [-1.7955019e-01, -1.2246421e-01, -1.9541012e-02, ...,
             3.9249733e-02,  8.8418117e-03,  8.8418117e-03],
           [-1.5635481e-01, -1.0969810e-01, -2.7897041e-02, ...,
             3.5898753e-02, -9.8025494e-06, -9.8025494e-06]], dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    -0.01795 -0.02696 ... 0.03712

    minval :

    -0.3802421

    maxval :

    0.6124982

    array([[-0.01795302, -0.02695923, -0.03249366, ...,  0.00352038,
            -0.00746429, -0.00746429],
           [-0.01732442, -0.0244091 , -0.02865467, ..., -0.0006809 ,
            -0.01162009, -0.01162009],
           [-0.01076309, -0.02005405, -0.0266984 , ..., -0.00147064,
            -0.00985896, -0.00985896],
           ...,
           [ 0.12071203,  0.11123349,  0.08947226, ...,  0.05585285,
             0.0440365 ,  0.0440365 ],
           [ 0.16669968,  0.1789637 ,  0.16598468, ...,  0.04290597,
             0.02896884,  0.02896884],
           [ 0.17321542,  0.16936943,  0.1434543 , ...,  0.04982568,
             0.0371216 ,  0.0371216 ]], dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    -0.3397 -0.7471 ... -0.08495

    minval :

    -1.5706288

    maxval :

    0.081665516

    array([[-0.33970723, -0.74712193, -1.1453573 , ..., -0.08747519,
            -0.07220136, -0.07220136],
           [-0.33997592, -0.74655247, -1.1438472 , ..., -0.08873625,
            -0.07280352, -0.07280352],
           [-0.3375503 , -0.7447475 , -1.1428007 , ..., -0.08773072,
            -0.07150018, -0.07150018],
           ...,
           [-0.36644197, -0.74512434, -1.1143293 , ..., -0.11128634,
            -0.0839994 , -0.0839994 ],
           [-0.36355063, -0.7403859 , -1.108382  , ..., -0.11331202,
            -0.08423118, -0.08423118],
           [-0.3719895 , -0.74797684, -1.1135582 , ..., -0.11309258,
            -0.08494727, -0.08494727]], dtype=float32)

  • sea_surface_wave_significant_height
    (trajectory, time)
    float32
    0.4675 0.5311 ... 0.8722 0.8722

    minval :

    0.0001323341

    maxval :

    8.1945

    array([[0.4674588 , 0.5311206 , 0.70871514, ..., 0.99652725, 0.7240681 ,
            0.7240681 ],
           [0.7260859 , 0.44592565, 0.67616236, ..., 0.1721957 , 0.19032714,
            0.19032714],
           [0.2999877 , 0.14499891, 0.15641211, ..., 0.7087802 , 0.32778242,
            0.32778242],
           ...,
           [0.21908617, 0.0150348 , 0.18008083, ..., 2.5334675 , 2.0405805 ,
            2.0405805 ],
           [0.14713037, 0.16240558, 0.04248783, ..., 1.9543554 , 1.4683862 ,
            1.4683862 ],
           [0.1336882 , 0.24541081, 0.32558084, ..., 1.1302234 , 0.8722374 ,
            0.8722374 ]], dtype=float32)

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

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

  • x_wind
    (trajectory, time)
    float32
    4.294 4.366 4.842 ... 0.7416 0.7416

    minval :

    -6.405901

    maxval :

    14.021838

    array([[ 4.2940264 ,  4.366379  ,  4.842003  , ...,  1.4562452 ,
            -0.1681046 , -0.1681046 ],
           [ 5.202976  ,  4.2228303 ,  5.2215004 , ..., -1.4760783 ,
            -2.763772  , -2.763772  ],
           [ 3.4877517 ,  2.4235435 ,  2.5130484 , ..., -0.7673241 ,
            -1.7509645 , -1.7509645 ],
           ...,
           [ 1.4667032 , -0.13422228,  2.331428  , ...,  4.758316  ,
             3.3943706 ,  3.3943706 ],
           [ 2.383278  ,  0.5071448 ,  0.41150346, ...,  1.8624249 ,
             0.08572789,  0.08572789],
           [ 2.2267084 ,  3.1023877 ,  3.4955113 , ...,  1.9336729 ,
             0.7415793 ,  0.7415793 ]], dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    0.7508 1.589 2.316 ... 5.908 5.908

    minval :

    -6.217006

    maxval :

    15.995868

    array([[ 0.7508208 ,  1.5890259 ,  2.3161533 , ...,  6.1958528 ,
             5.422675  ,  5.422675  ],
           [ 1.563562  , -0.5429204 , -0.47138935, ...,  2.1956818 ,
             0.31375098,  0.31375098],
           [ 0.17380811, -0.14388105,  0.20689242, ...,  5.3125715 ,
             3.202907  ,  3.202907  ],
           ...,
           [-2.5989852 , -0.7701656 , -1.3728808 , ...,  8.963532  ,
             8.45155   ,  8.45155   ],
           [-0.54853946, -2.5188603 , -1.2481236 , ...,  8.716462  ,
             7.7254868 ,  7.7254868 ],
           [ 0.6901077 ,  0.5926561 ,  1.0081637 , ...,  6.496534  ,
             5.908203  ,  5.908203  ]], dtype=float32)

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

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

  • sea_floor_depth_below_sea_level
    (trajectory, time)
    float32
    91.6 91.92 92.36 ... 163.5 163.5

    minval :

    39.85972

    maxval :

    277.95886

    array([[ 91.5983  ,  91.918686,  92.358475, ..., 170.27594 , 170.47046 ,
            170.47046 ],
           [ 94.49078 ,  94.15195 ,  93.94527 , ..., 159.24997 , 160.24734 ,
            160.24734 ],
           [ 86.55411 ,  86.79853 ,  87.17082 , ..., 104.139465, 104.64708 ,
            104.64708 ],
           ...,
           [131.81073 , 126.2184  , 121.96202 , ..., 175.18347 , 174.55441 ,
            174.55441 ],
           [ 97.5854  ,  88.84964 ,  81.52059 , ..., 123.44647 , 123.56158 ,
            123.56158 ],
           [122.13024 , 114.314186, 107.98006 , ..., 163.84393 , 163.4585  ,
            163.4585  ]], dtype=float32)

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

    minval :

    0.02

    maxval :

    0.02

    array([[0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           ...,
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02]], dtype=float32)

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

    minval :

    50.0

    maxval :

    50.0

    array([[50., 50., 50., ..., 50., 50., 50.],
           [50., 50., 50., ..., 50., 50., 50.],
           [50., 50., 50., ..., 50., 50., 50.],
           ...,
           [50., 50., 50., ..., 50., 50., 50.],
           [50., 50., 50., ..., 50., 50., 50.],
           [50., 50., 50., ..., 50., 50., 50.]], dtype=float32)

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

    minval :

    10.0

    maxval :

    10.0

    array([[10., 10., 10., ..., 10., 10., 10.],
           [10., 10., 10., ..., 10., 10., 10.],
           [10., 10., 10., ..., 10., 10., 10.],
           ...,
           [10., 10., 10., ..., 10., 10., 10.],
           [10., 10., 10., ..., 10., 10., 10.],
           [10., 10., 10., ..., 10., 10., 10.]], dtype=float32)

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

    minval :

    34.0

    maxval :

    34.0

    array([[34., 34., 34., ..., 34., 34., 34.],
           [34., 34., 34., ..., 34., 34., 34.],
           [34., 34., 34., ..., 34., 34., 34.],
           ...,
           [34., 34., 34., ..., 34., 34., 34.],
           [34., 34., 34., ..., 34., 34., 34.],
           [34., 34., 34., ..., 34., 34., 34.]], dtype=float32)

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

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

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

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

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

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

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

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

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

    minval :

    0.0

    maxval :

    0.0

    array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)

• Indexes: (2)
  • trajectory
    PandasIndex

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

  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['2025-02-18 17:08:37.430644', '2025-02-18 18:08:37.430644',
                   '2025-02-18 19:08:37.430644', '2025-02-18 20:08:37.430644',
                   '2025-02-18 21:08:37.430644', '2025-02-18 22:08:37.430644',
                   '2025-02-18 23:08:37.430644', '2025-02-19 00:08:37.430644',
                   '2025-02-19 01:08:37.430644', '2025-02-19 02:08:37.430644',
                   '2025-02-19 03:08:37.430644', '2025-02-19 04:08:37.430644',
                   '2025-02-19 05:08:37.430644', '2025-02-19 06:08:37.430644',
                   '2025-02-19 07:08:37.430644', '2025-02-19 08:08:37.430644',
                   '2025-02-19 09:08:37.430644', '2025-02-19 10:08:37.430644',
                   '2025-02-19 11:08:37.430644', '2025-02-19 12:08:37.430644',
                   '2025-02-19 13:08:37.430644', '2025-02-19 14:08:37.430644',
                   '2025-02-19 15:08:37.430644', '2025-02-19 16:08:37.430644',
                   '2025-02-19 17:08:37.430644', '2025-02-19 18:08:37.430644',
                   '2025-02-19 19:08:37.430644', '2025-02-19 20:08:37.430644',
                   '2025-02-19 21:08:37.430644', '2025-02-19 22:08:37.430644',
                   '2025-02-19 23:08:37.430644', '2025-02-20 00:08:37.430644',
                   '2025-02-20 01:08:37.430644', '2025-02-20 02:08:37.430644',
                   '2025-02-20 03:08:37.430644', '2025-02-20 04:08:37.430644',
                   '2025-02-20 05:08:37.430644', '2025-02-20 06:08:37.430644',
                   '2025-02-20 07:08:37.430644', '2025-02-20 08:08:37.430644',
                   '2025-02-20 09:08:37.430644', '2025-02-20 10:08:37.430644',
                   '2025-02-20 11:08:37.430644', '2025-02-20 12:08:37.430644',
                   '2025-02-20 13:08:37.430644', '2025-02-20 14:08:37.430644',
                   '2025-02-20 15:08:37.430644', '2025-02-20 16:08:37.430644',
                   '2025-02-20 17:08:37.430644'],
                  dtype='datetime64[ns]', name='time', freq='h'))

• Attributes: (136)

  Conventions :

  CF-1.11, ACDD-1.3

  standard_name_vocabulary :

  CF Standard Name Table v85

  featureType :

  trajectory

  title :

  OpenDrift trajectory simulation

  summary :

  Output from simulation with OpenDrift framework

  keywords :

  trajectory, drift, lagrangian, simulation

  history :

  Created 2025-02-18 17:08:41.270198

  date_created :

  2025-02-18T17:08:41.270214

  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 :

  2025-02-18 17:08:37.430644

  time_step_calculation :

  1:00:00

  time_step_output :

  1:00:00

  config_environment:constant:x_sea_water_velocity :

  None

  config_environment:fallback:x_sea_water_velocity :

  0

  config_environment:constant:y_sea_water_velocity :

  None

  config_environment:fallback:y_sea_water_velocity :

  0

  config_environment:constant:sea_surface_height :

  None

  config_environment:fallback:sea_surface_height :

  0

  config_environment:constant:sea_surface_wave_significant_height :

  None

  config_environment:fallback:sea_surface_wave_significant_height :

  0

  config_environment:constant:sea_ice_area_fraction :

  None

  config_environment:fallback:sea_ice_area_fraction :

  0

  config_environment:constant:x_wind :

  None

  config_environment:fallback:x_wind :

  0

  config_environment:constant:y_wind :

  None

  config_environment:fallback:y_wind :

  0

  config_environment:constant:land_binary_mask :

  None

  config_environment:fallback:land_binary_mask :

  None

  config_environment:constant:sea_floor_depth_below_sea_level :

  None

  config_environment:fallback:sea_floor_depth_below_sea_level :

  100

  config_environment:constant:ocean_vertical_diffusivity :

  None

  config_environment:fallback:ocean_vertical_diffusivity :

  0.02

  config_environment:constant:ocean_mixed_layer_thickness :

  None

  config_environment:fallback:ocean_mixed_layer_thickness :

  50

  config_environment:constant:sea_water_temperature :

  None

  config_environment:fallback:sea_water_temperature :

  10

  config_environment:constant:sea_water_salinity :

  None

  config_environment:fallback:sea_water_salinity :

  34

  config_environment:constant:surface_downward_x_stress :

  None

  config_environment:fallback:surface_downward_x_stress :

  0

  config_environment:constant:surface_downward_y_stress :

  None

  config_environment:fallback:surface_downward_y_stress :

  0

  config_environment:constant:turbulent_kinetic_energy :

  None

  config_environment:fallback:turbulent_kinetic_energy :

  0

  config_environment:constant:turbulent_generic_length_scale :

  None

  config_environment:fallback:turbulent_generic_length_scale :

  0

  config_environment:constant:upward_sea_water_velocity :

  None

  config_environment:fallback:upward_sea_water_velocity :

  0

  config_general:use_auto_landmask :

  True

  config_drift:current_uncertainty :

  0

  config_drift:current_uncertainty_uniform :

  0

  config_drift:max_speed :

  2.0

  config_readers:max_number_of_fails :

  1

  config_general:simulation_name :

  config_general:coastline_action :

  previous

  config_general:coastline_approximation_precision :

  0.001

  config_general:time_step_minutes :

  60

  config_general:time_step_output_minutes :

  None

  config_seed:ocean_only :

  True

  config_seed:number :

  1

  config_drift:max_age_seconds :

  None

  config_drift:advection_scheme :

  euler

  config_drift:horizontal_diffusivity :

  0

  config_drift:profiles_depth :

  50

  config_drift:wind_uncertainty :

  0

  config_drift:relative_wind :

  False

  config_drift:deactivate_north_of :

  None

  config_drift:deactivate_south_of :

  None

  config_drift:deactivate_east_of :

  None

  config_drift:deactivate_west_of :

  None

  config_seed:origin_marker :

  0

  config_seed:z :

  0

  config_seed:wind_drift_factor :

  0.02

  config_seed:current_drift_factor :

  1

  config_seed:terminal_velocity :

  0.0

  config_seed:diameter :

  0.0014

  config_seed:neutral_buoyancy_salinity :

  31.25

  config_seed:density :

  1028.0

  config_seed:hatched :

  0.0

  config_drift:vertical_advection :

  True

  config_drift:vertical_mixing :

  True

  config_vertical_mixing:timestep :

  60.0

  config_vertical_mixing:diffusivitymodel :

  windspeed_Sundby1983

  config_vertical_mixing:background_diffusivity :

  1.2e-05

  config_vertical_mixing:TSprofiles :

  False

  config_drift:wind_drift_depth :

  0.1

  config_drift:stokes_drift :

  True

  config_drift:stokes_drift_profile :

  Phillips

  config_drift:use_tabularised_stokes_drift :

  False

  config_drift:tabularised_stokes_drift_fetch :

  25000

  config_general:seafloor_action :

  lift_to_seafloor

  config_drift:truncate_ocean_model_below_m :

  None

  config_seed:seafloor :

  False

  opendrift_version :

  1.13.0

  seed_geojson :

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

  simulation_time :

  2025-02-18 17:08:41.281179

  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 :

  2025-02-20 17:08:37.430644

  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 0:00:55.8 total 0:00:00.0 preparing 0:00:55.3 reading 0:00:00.1 interpolation 0:00:00.0 interpolation_time 0:00:00.4 rotating vectors 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc 0:00:42.0 total 0:00:00.0 preparing 0:00:41.5 reading 0:00:00.8 interpolation 0:00:00.0 interpolation_time 0:00:00.4 rotating vectors 0:00:00.0 masking -------------------- Performance: 1:52.2 total time 3.8 configuration 0.0 preparing main loop 0.0 moving elements to ocean 1:48.3 main loop 3.0 updating elements 2.9 vertical mixing 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  67.702286

  geospatial_lat_max :

  68.38862

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  12.35679

  geospatial_lon_max :

  14.405021

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:01:52.203643

  geospatial_vertical_min :

  -53.05825

  geospatial_vertical_max :

  -0.00019510982

  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
 0:00:55.8  total
 0:00:00.0  preparing
 0:00:55.3  reading
 0:00:00.1  interpolation
 0:00:00.0  interpolation_time
 0:00:00.4  rotating vectors
 0:00:00.0  masking
--------------------
https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc
 0:00:42.0  total
 0:00:00.0  preparing
 0:00:41.5  reading
 0:00:00.8  interpolation
 0:00:00.0  interpolation_time
 0:00:00.4  rotating vectors
 0:00:00.0  masking
--------------------
Performance:
 1:52.2 total time
    3.8 configuration
    0.0 preparing main loop
      0.0 moving elements to ocean
 1:48.3 main loop
      3.0 updating elements
        2.9 vertical mixing
    0.0 cleaning up
--------------------
===========================
Model:  PelagicEggDrift     (OpenDrift version 1.13.0)
        2000 active PelagicEgg particles  (0 deactivated, 0 scheduled)
-------------------
Environment variables:
  -----
  land_binary_mask
     1) global_landmask
  -----
  sea_floor_depth_below_sea_level
  sea_surface_height
  x_sea_water_velocity
  y_sea_water_velocity
     1) https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
  -----
  x_wind
  y_wind
     1) https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc
  -----
Readers not added for the following variables:
  ocean_mixed_layer_thickness
  ocean_vertical_diffusivity
  sea_ice_area_fraction
  sea_surface_wave_significant_height
  sea_water_salinity
  sea_water_temperature
  surface_downward_x_stress
  surface_downward_y_stress
  turbulent_generic_length_scale
  turbulent_kinetic_energy
  upward_sea_water_velocity

Discarded readers:

Time:
        Start: 2025-02-18 17:08:37.430644 UTC
        Present: 2025-02-20 17:08:37.430644 UTC
        Calculation steps: 48 * 1:00:00 - total time: 2 days, 0:00:00
        Output steps: 49 * 1:00:00
===========================

17:10:29 WARNING opendrift:2429: Plotting fast. This will make your plots less accurate.
17:10:36 WARNING opendrift:2429: Plotting fast. This will make your plots less accurate.
17:10:37 INFO    opendrift:4611: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_0.gif...
17:11:08 INFO    opendrift:3048: Time to make animation: 0:00:31.695270

o.animate_vertical_distribution()

17:11:09 INFO    opendrift:4611: Saving animation to /root/project/docs/source/gallery/animations/example_codegg_1.gif...
17:11:20 INFO    opendrift.models.oceandrift:620: Time to make animation: 0:00:10.605888