.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "gallery/example_shipdrift.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_gallery_example_shipdrift.py>`
        to download the full example code.

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_gallery_example_shipdrift.py:


Ship drift
==================================

.. GENERATED FROM PYTHON SOURCE LINES 6-18

.. code-block:: Python


    from datetime import datetime
    from opendrift.models.shipdrift import ShipDrift

    o = ShipDrift(loglevel=20)

    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',
        'https://thredds.met.no/thredds/dodsC/cmems/mywavewam3km/dataset-wam-arctic-1hr3km-be.ncml'
        ])





.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    09:34:55 INFO    opendrift:569: OpenDriftSimulation initialised (version 1.14.11 / v1.14.12-26-g8782b63)




.. GENERATED FROM PYTHON SOURCE LINES 19-21

Seed ship elements at defined position and time
Note: beam/length ratio is larger than allowed, but is then clipped internally

.. GENERATED FROM PYTHON SOURCE LINES 21-25

.. code-block:: Python

    o.seed_elements(lon=5.0, lat=63.0, radius=1000, number=1000,
                    time=datetime.now(),
                    length=80.0, beam=20.0, height=9.0, draft=4.0)





.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    09:34:55 WARNING opendrift.models.shipdrift:180: Ratio of beam to length should be in range 0.12 to 0.18, given range is 0.25-0.25. Using border value.
    09:34:55 INFO    opendrift.models.basemodel.environment:203: Adding a global landmask from GSHHG
    09:35:01 INFO    opendrift.models.basemodel.environment:227: Fallback values will be used for the following variables which have no readers: 
    09:35:01 INFO    opendrift.models.basemodel.environment:230:    horizontal_diffusivity: 100.000000
    09:35:01 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_stokes_drift_x_velocity: 0.000000
    09:35:01 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_stokes_drift_y_velocity: 0.000000
    09:35:01 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_significant_height: 0.000000
    09:35:01 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment: 0.000000




.. GENERATED FROM PYTHON SOURCE LINES 26-27

Running model

.. GENERATED FROM PYTHON SOURCE LINES 27-29

.. code-block:: Python

    o.run(steps=24, stop_on_error=True)





.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    09:35:01 INFO    opendrift:1921: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
    09:35:01 INFO    opendrift:1921: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
    09:35:01 INFO    opendrift:958: Using existing reader for land_binary_mask to move elements to ocean
    09:35:01 INFO    opendrift:989: All points are in ocean
    09:35:01 INFO    opendrift:2237: 2026-09-28 09:34:55.245878 - step 1 of 24 - 1000 active elements (0 deactivated)
    09:35:01 INFO    opendrift.readers:67: Opening file with xr.open_dataset
    09:35:03 INFO    opendrift.readers.reader_netCDF_CF_generic:340: Detected dimensions: {'x': 'x', 'y': 'y', 'time': 'time'}
    09:35:03 INFO    opendrift.readers:67: Opening file with xr.open_dataset
    09:35:04 INFO    opendrift.readers.reader_netCDF_CF_generic:340: Detected dimensions: {'time': 'time', 'x': 'x', 'y': 'y'}
    09:35:04 INFO    opendrift.readers:67: Opening file with xr.open_dataset
    09:35:07 INFO    opendrift.readers.reader_netCDF_CF_generic:340: Detected dimensions: {'y': 'rlat', 'x': 'rlon', 'time': 'time'}
    09:35:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:08 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:08 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:08 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:08 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:08 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:08 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:08 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:08 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:08 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:08 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:08 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:08 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:08 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:08 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:08 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:08 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:09 WARNING opendrift:2535: Missing variables: ['x_wind', 'y_wind']
    09:35:09 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    09:35:09 INFO    opendrift:2237: 2026-09-28 10:34:55.245878 - step 2 of 24 - 867 active elements (133 deactivated)
    09:35:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:10 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:10 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:10 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:10 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:10 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:10 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:10 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:10 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:10 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:10 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:10 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:10 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:10 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:10 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:10 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:10 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:11 WARNING opendrift:2535: Missing variables: ['x_wind', 'y_wind']
    09:35:11 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    09:35:11 INFO    opendrift:2237: 2026-09-28 11:34:55.245878 - step 3 of 24 - 751 active elements (249 deactivated)
    09:35:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:12 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:12 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:12 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:12 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:12 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:12 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:12 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:12 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:12 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:12 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:12 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:12 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:12 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:12 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:12 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:12 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:13 WARNING opendrift:2535: Missing variables: ['x_wind', 'y_wind']
    09:35:13 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    09:35:13 INFO    opendrift:2237: 2026-09-28 12:34:55.245878 - step 4 of 24 - 651 active elements (349 deactivated)
    09:35:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:14 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:14 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:14 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:14 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:14 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:14 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:14 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:14 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:14 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:14 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:14 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:14 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:14 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:14 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:14 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:14 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:14 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:15 WARNING opendrift:2535: Missing variables: ['x_wind', 'y_wind']
    09:35:15 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    09:35:15 INFO    opendrift:2237: 2026-09-28 13:34:55.245878 - step 5 of 24 - 564 active elements (436 deactivated)
    09:35:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:16 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:16 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:16 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:16 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:16 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:16 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:16 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:16 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:16 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:16 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:16 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:16 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:16 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:16 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:16 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:16 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:16 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:16 WARNING opendrift:2535: Missing variables: ['x_wind', 'y_wind']
    09:35:16 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    09:35:16 INFO    opendrift:2237: 2026-09-28 14:34:55.245878 - step 6 of 24 - 489 active elements (511 deactivated)
    09:35:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:17 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:17 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:17 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:17 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:17 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:17 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:17 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:17 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:17 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:17 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:17 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:17 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:17 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:17 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:17 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:17 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:18 WARNING opendrift:2535: Missing variables: ['x_wind', 'y_wind']
    09:35:18 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    09:35:18 INFO    opendrift:2237: 2026-09-28 15:34:55.245878 - step 7 of 24 - 425 active elements (575 deactivated)
    09:35:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:19 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:19 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:19 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:19 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:19 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:19 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:19 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:19 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:19 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:19 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:19 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:19 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:19 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:19 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:19 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:19 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:20 WARNING opendrift:2535: Missing variables: ['x_wind', 'y_wind']
    09:35:20 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    09:35:20 INFO    opendrift:2237: 2026-09-28 16:34:55.245878 - step 8 of 24 - 369 active elements (631 deactivated)
    09:35:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:21 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:21 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:21 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:21 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:21 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:21 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:21 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:21 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:21 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:21 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:21 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:21 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:21 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:21 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:21 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:21 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:21 WARNING opendrift:2535: Missing variables: ['x_wind', 'y_wind']
    09:35:21 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    09:35:21 INFO    opendrift:2237: 2026-09-28 17:34:55.245878 - step 9 of 24 - 321 active elements (679 deactivated)
    09:35:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:23 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:23 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:23 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:23 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:23 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:23 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:23 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:23 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:23 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:23 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:23 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:23 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:23 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:23 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:23 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:23 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:23 WARNING opendrift:2535: Missing variables: ['x_wind', 'y_wind']
    09:35:24 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    09:35:24 INFO    opendrift:2237: 2026-09-28 18:34:55.245878 - step 10 of 24 - 278 active elements (722 deactivated)
    09:35:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:25 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:25 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:25 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:25 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:25 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:25 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:25 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:25 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:25 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:25 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:25 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:25 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:25 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:25 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:25 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:25 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:25 WARNING opendrift:2535: Missing variables: ['x_wind', 'y_wind']
    09:35:25 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    09:35:25 INFO    opendrift:2237: 2026-09-28 19:34:55.245878 - step 11 of 24 - 242 active elements (758 deactivated)
    09:35:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:27 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:27 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:27 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:27 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:27 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:27 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:27 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:27 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:27 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:27 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:27 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:27 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:27 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:27 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:27 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:27 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:27 WARNING opendrift:2535: Missing variables: ['x_wind', 'y_wind']
    09:35:27 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    09:35:27 INFO    opendrift:2237: 2026-09-28 20:34:55.245878 - step 12 of 24 - 210 active elements (790 deactivated)
    09:35:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:29 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:29 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:29 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:29 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:29 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:29 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:29 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:29 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:29 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:29 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:29 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:29 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:29 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:29 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:29 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:29 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:29 WARNING opendrift:2535: Missing variables: ['x_wind', 'y_wind']
    09:35:29 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    09:35:29 INFO    opendrift:2237: 2026-09-28 21:34:55.245878 - step 13 of 24 - 182 active elements (818 deactivated)
    09:35:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:31 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:31 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:31 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:31 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:31 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:31 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:31 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:31 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:31 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:31 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:31 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:31 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:31 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:31 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:31 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:31 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:31 WARNING opendrift:2535: Missing variables: ['x_wind', 'y_wind']
    09:35:31 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    09:35:31 INFO    opendrift:2237: 2026-09-28 22:34:55.245878 - step 14 of 24 - 158 active elements (842 deactivated)
    09:35:33 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:33 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:33 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:33 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:33 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:33 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:33 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:33 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:33 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:33 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:33 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:33 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:33 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:33 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:33 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:33 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:33 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:33 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:33 WARNING opendrift:2535: Missing variables: ['x_wind', 'y_wind']
    09:35:33 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    09:35:33 INFO    opendrift:2237: 2026-09-28 23:34:55.245878 - step 15 of 24 - 138 active elements (862 deactivated)
    09:35:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:34 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:34 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:34 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:34 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:34 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:34 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:34 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:34 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:34 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:34 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:34 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:34 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:34 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:34 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:34 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:34 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:36 WARNING opendrift:2535: Missing variables: ['x_wind', 'y_wind']
    09:35:36 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    09:35:36 INFO    opendrift:2237: 2026-09-29 00:34:55.245878 - step 16 of 24 - 119 active elements (881 deactivated)
    09:35:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:37 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:37 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:37 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:37 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:37 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:37 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:37 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:37 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:37 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:37 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:37 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:37 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:37 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:37 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:37 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:37 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:38 WARNING opendrift:2535: Missing variables: ['x_wind', 'y_wind']
    09:35:38 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    09:35:38 INFO    opendrift:2237: 2026-09-29 01:34:55.245878 - step 17 of 24 - 103 active elements (897 deactivated)
    09:35:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:39 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:39 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:39 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:39 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:39 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:39 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:39 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:39 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:39 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:39 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:39 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:39 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:39 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:39 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:39 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:39 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:40 WARNING opendrift:2535: Missing variables: ['x_wind', 'y_wind']
    09:35:40 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    09:35:40 INFO    opendrift:2237: 2026-09-29 02:34:55.245878 - step 18 of 24 - 88 active elements (912 deactivated)
    09:35:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:41 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:41 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:41 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:41 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:41 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:41 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:41 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:41 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:41 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:41 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:41 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:41 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:41 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:41 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:41 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:41 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:41 WARNING opendrift:2535: Missing variables: ['x_wind', 'y_wind']
    09:35:41 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    09:35:41 INFO    opendrift:2237: 2026-09-29 03:34:55.245878 - step 19 of 24 - 76 active elements (924 deactivated)
    09:35:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:43 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:43 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:43 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:43 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:43 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:43 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:43 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:43 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:43 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:43 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:43 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:43 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:43 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:43 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:43 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:43 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:44 WARNING opendrift:2535: Missing variables: ['x_wind', 'y_wind']
    09:35:44 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    09:35:44 INFO    opendrift:2237: 2026-09-29 04:34:55.245878 - step 20 of 24 - 65 active elements (935 deactivated)
    09:35:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:45 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:45 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:45 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:45 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:45 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:45 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:45 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:45 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:45 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:45 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:45 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:45 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:45 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:45 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:45 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:45 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:46 WARNING opendrift:2535: Missing variables: ['x_wind', 'y_wind']
    09:35:46 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    09:35:46 INFO    opendrift:2237: 2026-09-29 05:34:55.245878 - step 21 of 24 - 57 active elements (943 deactivated)
    09:35:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:48 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:48 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:48 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:48 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:48 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:48 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:48 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:48 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:48 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:48 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:48 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:48 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:48 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:48 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:48 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:48 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:49 WARNING opendrift:2535: Missing variables: ['x_wind', 'y_wind']
    09:35:49 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    09:35:49 INFO    opendrift:2237: 2026-09-29 06:34:55.245878 - step 22 of 24 - 49 active elements (951 deactivated)
    09:35:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:50 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:50 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:50 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:50 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:50 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:50 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:50 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:50 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:50 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:50 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:50 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:50 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:50 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:50 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:50 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:50 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:51 WARNING opendrift:2535: Missing variables: ['x_wind', 'y_wind']
    09:35:51 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    09:35:51 INFO    opendrift:2237: 2026-09-29 07:34:55.245878 - step 23 of 24 - 42 active elements (958 deactivated)
    09:35:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:52 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:52 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:52 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:52 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:52 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:52 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:52 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:52 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:52 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:52 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:52 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:52 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:52 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:52 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:52 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:52 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:53 WARNING opendrift:2535: Missing variables: ['x_wind', 'y_wind']
    09:35:53 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    09:35:53 INFO    opendrift:2237: 2026-09-29 08:34:55.245878 - step 24 of 24 - 35 active elements (965 deactivated)
    09:35:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    09:35:54 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:54 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:54 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:54 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:54 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:54 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:54 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:54 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:54 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:54 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:54 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:54 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:54 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:54 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:54 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:54 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    09:35:55 WARNING opendrift:2535: Missing variables: ['x_wind', 'y_wind']
    09:35:55 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction


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      background-color: var(--xr-background-color-row-odd);
      border-color: var(--xr-background-color-row-even);
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    .xr-var-name {
      grid-column: 1;
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    .xr-var-dims {
      grid-column: 2;
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    .xr-var-dtype {
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    .xr-var-preview {
      grid-column: 4;
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    .xr-index-preview {
      grid-column: 2 / 5;
      color: var(--xr-font-color2);
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    .xr-var-name,
    .xr-var-dims,
    .xr-var-dtype,
    .xr-preview,
    .xr-attrs dt {
      white-space: nowrap;
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    .xr-attrs dt:hover {
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    .xr-var-attrs,
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    .xr-var-attrs-in:checked ~ .xr-var-attrs,
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      display: block;
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    .xr-var-data > table {
      float: right;
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      background-color: transparent !important;
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    .xr-var-name span,
    .xr-var-data,
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    .xr-index-data,
    .xr-attrs {
      padding-left: 25px !important;
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    .xr-attrs,
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    .xr-attrs dt,
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    .xr-attrs dt {
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    .xr-attrs dt:hover span {
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      padding-right: 10px;
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    .xr-attrs dd {
      grid-column: 2;
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    .xr-icon-database,
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    .xr-var-attrs-in:checked + label > .xr-icon-file-text2,
    .xr-var-data-in:checked + label > .xr-icon-database,
    .xr-index-data-in:checked + label > .xr-icon-database {
      color: var(--xr-font-color0);
      filter: drop-shadow(1px 1px 5px var(--xr-font-color2));
      stroke-width: 0.8px;
    }
    </style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 3MB
    Dimensions:                                                                              (
                                                                                              trajectory: 1000,
                                                                                              time: 25)
    Coordinates:
      * trajectory                                                                           (trajectory) int64 8kB ...
      * time                                                                                 (time) datetime64[ns] 200B ...
    Data variables: (12/25)
        status                                                                               (trajectory, time) float32 100kB ...
        moving                                                                               (trajectory, time) float32 100kB ...
        age_seconds                                                                          (trajectory, time) float32 100kB ...
        origin_marker                                                                        (trajectory, time) float32 100kB ...
        lon                                                                                  (trajectory, time) float32 100kB ...
        lat                                                                                  (trajectory, time) float32 100kB ...
        ...                                                                                   ...
        y_sea_water_velocity                                                                 (trajectory, time) float32 100kB ...
        horizontal_diffusivity                                                               (trajectory, time) float32 100kB ...
        sea_surface_wave_stokes_drift_x_velocity                                             (trajectory, time) float32 100kB ...
        sea_surface_wave_stokes_drift_y_velocity                                             (trajectory, time) float32 100kB ...
        sea_surface_wave_significant_height                                                  (trajectory, time) float32 100kB ...
        sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment  (trajectory, time) float32 100kB ...
    Attributes: (12/98)
        Conventions:                                                             ...
        standard_name_vocabulary:                                                ...
        featureType:                                                             ...
        title:                                                                   ...
        summary:                                                                 ...
        keywords:                                                                ...
        ...                                                                                                               ...
        geospatial_lon_units:                                                    ...
        geospatial_lon_resolution:                                               ...
        runtime:                                                                 ...
        geospatial_vertical_min:                                                 ...
        geospatial_vertical_max:                                                 ...
        geospatial_vertical_positive:                                            ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-54505b23-f0a6-45b9-b8bf-46a2aa9a1b75' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-54505b23-f0a6-45b9-b8bf-46a2aa9a1b75' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>trajectory</span>: 1000</li><li><span class='xr-has-index'>time</span>: 25</li></ul></div></li><li class='xr-section-item'><input id='section-5f847ce9-8114-4264-87ce-8f590cb646c9' class='xr-section-summary-in' type='checkbox' checked /><label for='section-5f847ce9-8114-4264-87ce-8f590cb646c9' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>trajectory</span></div><div class='xr-var-dims'>(trajectory)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 995 996 997 998 999</div><input id='attrs-987a9a9d-deff-4ed0-8dc2-a180277f0beb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-987a9a9d-deff-4ed0-8dc2-a180277f0beb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd0692b3-765f-43ec-a2de-987a4af05302' class='xr-var-data-in' type='checkbox'><label for='data-fd0692b3-765f-43ec-a2de-987a4af05302' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cf_role :</span></dt><dd>trajectory_id</dd><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.int32&#x27;&gt;</dd></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 997, 998, 999], shape=(1000,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2026-09-28T09:34:55.245878 ... 2...</div><input id='attrs-ec4a4bf0-d716-43ca-9611-97cadda19952' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec4a4bf0-d716-43ca-9611-97cadda19952' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-482d984c-87b5-41ee-9ade-2b28ec5fbef3' class='xr-var-data-in' type='checkbox'><label for='data-482d984c-87b5-41ee-9ade-2b28ec5fbef3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float64&#x27;&gt;</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2026-09-28T09:34:55.245878000&#x27;, &#x27;2026-09-28T10:34:55.245878000&#x27;,
           &#x27;2026-09-28T11:34:55.245878000&#x27;, &#x27;2026-09-28T12:34:55.245878000&#x27;,
           &#x27;2026-09-28T13:34:55.245878000&#x27;, &#x27;2026-09-28T14:34:55.245878000&#x27;,
           &#x27;2026-09-28T15:34:55.245878000&#x27;, &#x27;2026-09-28T16:34:55.245878000&#x27;,
           &#x27;2026-09-28T17:34:55.245878000&#x27;, &#x27;2026-09-28T18:34:55.245878000&#x27;,
           &#x27;2026-09-28T19:34:55.245878000&#x27;, &#x27;2026-09-28T20:34:55.245878000&#x27;,
           &#x27;2026-09-28T21:34:55.245878000&#x27;, &#x27;2026-09-28T22:34:55.245878000&#x27;,
           &#x27;2026-09-28T23:34:55.245878000&#x27;, &#x27;2026-09-29T00:34:55.245878000&#x27;,
           &#x27;2026-09-29T01:34:55.245878000&#x27;, &#x27;2026-09-29T02:34:55.245878000&#x27;,
           &#x27;2026-09-29T03:34:55.245878000&#x27;, &#x27;2026-09-29T04:34:55.245878000&#x27;,
           &#x27;2026-09-29T05:34:55.245878000&#x27;, &#x27;2026-09-29T06:34:55.245878000&#x27;,
           &#x27;2026-09-29T07:34:55.245878000&#x27;, &#x27;2026-09-29T08:34:55.245878000&#x27;,
           &#x27;2026-09-29T09:34:55.245878000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ca57b40f-f68c-4455-a4ab-046f14202f41' class='xr-section-summary-in' type='checkbox' /><label for='section-ca57b40f-f68c-4455-a4ab-046f14202f41' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(25)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>status</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-aa11e0b1-0eae-4ae9-af05-d7003e4b8de7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa11e0b1-0eae-4ae9-af05-d7003e4b8de7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48c39db1-aa1a-4c01-956c-752643c8f526' class='xr-var-data-in' type='checkbox'><label for='data-48c39db1-aa1a-4c01-956c-752643c8f526' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.int32&#x27;&gt;</dd><dt><span>valid_range :</span></dt><dd>[0 1]</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>active missing_data</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           ...,
           [ 0.,  1., nan, ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  1., nan, nan],
           [ 1., nan, nan, ..., nan, nan, nan]],
          shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>moving</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.0 1.0 1.0 1.0 ... nan nan nan nan</div><input id='attrs-43f7c0e2-28ea-4886-822b-e5a6fa7e6c05' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-43f7c0e2-28ea-4886-822b-e5a6fa7e6c05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d1ce0b1-81e0-4a32-82ab-30b85aca51e4' class='xr-var-data-in' type='checkbox'><label for='data-9d1ce0b1-81e0-4a32-82ab-30b85aca51e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.int32&#x27;&gt;</dd><dt><span>minval :</span></dt><dd>0</dd><dt><span>maxval :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.],
           ...,
           [ 1.,  0., nan, ..., nan, nan, nan],
           [ 1.,  1.,  1., ...,  0., nan, nan],
           [ 0., nan, nan, ..., nan, nan, nan]],
          shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>age_seconds</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 3.6e+03 7.2e+03 ... nan nan nan</div><input id='attrs-4511a983-e97a-4054-a89a-e826ef6e7d57' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4511a983-e97a-4054-a89a-e826ef6e7d57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05f24662-3b84-4ad2-afab-0683cfd43077' class='xr-var-data-in' type='checkbox'><label for='data-05f24662-3b84-4ad2-afab-0683cfd43077' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>s</dd><dt><span>minval :</span></dt><dd>0.0</dd><dt><span>maxval :</span></dt><dd>86400.0</dd></dl></div><div class='xr-var-data'><pre>array([[    0.,  3600.,  7200., ..., 79200., 82800., 86400.],
           [    0.,  3600.,  7200., ..., 79200., 82800., 86400.],
           [    0.,  3600.,  7200., ..., 79200., 82800., 86400.],
           ...,
           [    0.,  3600.,    nan, ...,    nan,    nan,    nan],
           [    0.,  3600.,  7200., ..., 79200.,    nan,    nan],
           [    0.,    nan,    nan, ...,    nan,    nan,    nan]],
          shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>origin_marker</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-92e546b6-2f9b-4cc3-880c-41573b8e9675' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92e546b6-2f9b-4cc3-880c-41573b8e9675' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-badc4d65-9bd5-4745-8124-669f4cfb6cf1' class='xr-var-data-in' type='checkbox'><label for='data-badc4d65-9bd5-4745-8124-669f4cfb6cf1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.int32&#x27;&gt;</dd><dt><span>unit :</span></dt><dd></dd><dt><span>description :</span></dt><dd>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.</dd><dt><span>flag_values :</span></dt><dd>[0]</dd><dt><span>flag_meanings :</span></dt><dd>Seed_0</dd><dt><span>minval :</span></dt><dd>0</dd><dt><span>maxval :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           ...,
           [ 0.,  0., nan, ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0., nan, nan],
           [ 0., nan, nan, ..., nan, nan, nan]],
          shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>5.035 5.057 5.086 ... nan nan nan</div><input id='attrs-a5df27c0-705a-45c4-a7c9-165f9a78b0e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a5df27c0-705a-45c4-a7c9-165f9a78b0e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5359787-5f92-45ab-8733-6e281217ee5d' class='xr-var-data-in' type='checkbox'><label for='data-d5359787-5f92-45ab-8733-6e281217ee5d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>minval :</span></dt><dd>4.9398756</dd><dt><span>maxval :</span></dt><dd>6.1489625</dd></dl></div><div class='xr-var-data'><pre>array([[5.0348186, 5.057484 , 5.0856657, ..., 5.872056 , 5.9147415,
            5.946472 ],
           [5.007899 , 5.0312185, 5.0453963, ..., 5.812739 , 5.8431344,
            5.893042 ],
           [5.0193124, 5.066896 , 5.1046615, ..., 5.897842 , 5.9728947,
            6.0156054],
           ...,
           [5.0018587, 5.0536227,       nan, ...,       nan,       nan,
                  nan],
           [4.9773602, 5.00035  , 5.0429306, ..., 5.6510797,       nan,
                  nan],
           [4.9929357,       nan,       nan, ...,       nan,       nan,
                  nan]], shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>63.0 63.01 63.02 ... nan nan nan</div><input id='attrs-6e3083df-02e3-4a65-a6ab-ab6aa604581a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e3083df-02e3-4a65-a6ab-ab6aa604581a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6a58ec6-31f5-44dd-bd49-77d2231aeeaf' class='xr-var-data-in' type='checkbox'><label for='data-f6a58ec6-31f5-44dd-bd49-77d2231aeeaf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>minval :</span></dt><dd>62.973133</dd><dt><span>maxval :</span></dt><dd>63.44935</dd></dl></div><div class='xr-var-data'><pre>array([[63.004982, 63.01308 , 63.020126, ..., 63.396557, 63.407192,
            63.418694],
           [63.008007, 63.034138, 63.04073 , ..., 63.336174, 63.347122,
            63.360573],
           [62.99621 , 63.02169 , 63.023945, ..., 63.373493, 63.398323,
            63.404705],
           ...,
           [63.001423, 63.027756,       nan, ...,       nan,       nan,
                  nan],
           [62.989754, 63.00086 , 63.018204, ..., 63.328735,       nan,
                  nan],
           [62.98824 ,       nan,       nan, ...,       nan,       nan,
                  nan]], shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-8ae544e4-9b2d-4d80-b816-2a7fcef0d0f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ae544e4-9b2d-4d80-b816-2a7fcef0d0f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4536036-22bb-4885-8b06-d222a21194c9' class='xr-var-data-in' type='checkbox'><label for='data-d4536036-22bb-4885-8b06-d222a21194c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>standard_name :</span></dt><dd>z</dd><dt><span>long_name :</span></dt><dd>vertical position</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>minval :</span></dt><dd>0.0</dd><dt><span>maxval :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           ...,
           [ 0.,  0., nan, ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0., nan, nan],
           [ 0., nan, nan, ..., nan, nan, nan]],
          shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientation</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-233e2dbc-ce3b-45e9-bb5e-456d4b6b771e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-233e2dbc-ce3b-45e9-bb5e-456d4b6b771e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14dbc33e-2176-48ad-b815-08e0008c8e60' class='xr-var-data-in' type='checkbox'><label for='data-14dbc33e-2176-48ad-b815-08e0008c8e60' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.uint8&#x27;&gt;</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>minval :</span></dt><dd>0</dd><dt><span>maxval :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           ...,
           [ 1.,  1., nan, ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0., nan, nan],
           [ 1., nan, nan, ..., nan, nan, nan]],
          shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>length</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>80.0 80.0 80.0 80.0 ... nan nan nan</div><input id='attrs-f5907b31-a7a2-4258-9820-dab4d211a234' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f5907b31-a7a2-4258-9820-dab4d211a234' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45fb5814-9bd5-4668-9c67-7e7f8e677c78' class='xr-var-data-in' type='checkbox'><label for='data-45fb5814-9bd5-4668-9c67-7e7f8e677c78' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>min :</span></dt><dd>1</dd><dt><span>max :</span></dt><dd>500</dd><dt><span>description :</span></dt><dd>Length of ship</dd><dt><span>level :</span></dt><dd>1</dd><dt><span>minval :</span></dt><dd>80.0</dd><dt><span>maxval :</span></dt><dd>80.0</dd></dl></div><div class='xr-var-data'><pre>array([[80., 80., 80., ..., 80., 80., 80.],
           [80., 80., 80., ..., 80., 80., 80.],
           [80., 80., 80., ..., 80., 80., 80.],
           ...,
           [80., 80., nan, ..., nan, nan, nan],
           [80., 80., 80., ..., 80., nan, nan],
           [80., nan, nan, ..., nan, nan, nan]],
          shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.0 9.0 9.0 9.0 ... nan nan nan nan</div><input id='attrs-6af450ad-3955-49c8-b3e3-3c284a7e06b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6af450ad-3955-49c8-b3e3-3c284a7e06b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3de8db62-d776-4804-9535-bd1a4b4315fc' class='xr-var-data-in' type='checkbox'><label for='data-3de8db62-d776-4804-9535-bd1a4b4315fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>min :</span></dt><dd>1</dd><dt><span>max :</span></dt><dd>100</dd><dt><span>description :</span></dt><dd>Total height of ship (above and below waterline)</dd><dt><span>level :</span></dt><dd>1</dd><dt><span>minval :</span></dt><dd>9.0</dd><dt><span>maxval :</span></dt><dd>9.0</dd></dl></div><div class='xr-var-data'><pre>array([[ 9.,  9.,  9., ...,  9.,  9.,  9.],
           [ 9.,  9.,  9., ...,  9.,  9.,  9.],
           [ 9.,  9.,  9., ...,  9.,  9.,  9.],
           ...,
           [ 9.,  9., nan, ..., nan, nan, nan],
           [ 9.,  9.,  9., ...,  9., nan, nan],
           [ 9., nan, nan, ..., nan, nan, nan]],
          shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>draft</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>4.0 4.0 4.0 4.0 ... nan nan nan nan</div><input id='attrs-062cacc3-ab3c-465e-8f15-961563edfe5c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-062cacc3-ab3c-465e-8f15-961563edfe5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3821bc8-9fec-4160-8335-d4d90077380d' class='xr-var-data-in' type='checkbox'><label for='data-d3821bc8-9fec-4160-8335-d4d90077380d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>min :</span></dt><dd>1</dd><dt><span>max :</span></dt><dd>30</dd><dt><span>description :</span></dt><dd>Draft of ship (depth below water)</dd><dt><span>level :</span></dt><dd>1</dd><dt><span>minval :</span></dt><dd>4.0</dd><dt><span>maxval :</span></dt><dd>4.0</dd></dl></div><div class='xr-var-data'><pre>array([[ 4.,  4.,  4., ...,  4.,  4.,  4.],
           [ 4.,  4.,  4., ...,  4.,  4.,  4.],
           [ 4.,  4.,  4., ...,  4.,  4.,  4.],
           ...,
           [ 4.,  4., nan, ..., nan, nan, nan],
           [ 4.,  4.,  4., ...,  4., nan, nan],
           [ 4., nan, nan, ..., nan, nan, nan]],
          shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beam</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>20.0 20.0 20.0 20.0 ... nan nan nan</div><input id='attrs-c6b2cdcc-62ca-482d-881b-ee82854e3d0d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6b2cdcc-62ca-482d-881b-ee82854e3d0d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9f1321b-a9be-467f-ad81-75f0b9ff8a55' class='xr-var-data-in' type='checkbox'><label for='data-e9f1321b-a9be-467f-ad81-75f0b9ff8a55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>min :</span></dt><dd>1</dd><dt><span>max :</span></dt><dd>70</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>description :</span></dt><dd>Beam (width) of ship</dd><dt><span>level :</span></dt><dd>1</dd><dt><span>minval :</span></dt><dd>20.0</dd><dt><span>maxval :</span></dt><dd>20.0</dd></dl></div><div class='xr-var-data'><pre>array([[20., 20., 20., ..., 20., 20., 20.],
           [20., 20., 20., ..., 20., 20., 20.],
           [20., 20., 20., ..., 20., 20., 20.],
           ...,
           [20., 20., nan, ..., nan, nan, nan],
           [20., 20., 20., ..., 20., nan, nan],
           [20., nan, nan, ..., nan, nan, nan]],
          shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_drag_coeff</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.815 0.815 0.815 ... nan nan nan</div><input id='attrs-bab344e9-a17c-4541-a87e-917d44762587' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bab344e9-a17c-4541-a87e-917d44762587' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-afe7464e-b1ab-4de4-a718-655e84e66d59' class='xr-var-data-in' type='checkbox'><label for='data-afe7464e-b1ab-4de4-a718-655e84e66d59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>minval :</span></dt><dd>0.815</dd><dt><span>maxval :</span></dt><dd>0.815</dd></dl></div><div class='xr-var-data'><pre>array([[0.815, 0.815, 0.815, ..., 0.815, 0.815, 0.815],
           [0.815, 0.815, 0.815, ..., 0.815, 0.815, 0.815],
           [0.815, 0.815, 0.815, ..., 0.815, 0.815, 0.815],
           ...,
           [0.815, 0.815,   nan, ...,   nan,   nan,   nan],
           [0.815, 0.815, 0.815, ..., 0.815,   nan,   nan],
           [0.815,   nan,   nan, ...,   nan,   nan,   nan]],
          shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_drag_coeff</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.32 1.32 1.32 1.32 ... nan nan nan</div><input id='attrs-14379f1e-7a73-4c95-84c8-750231a6ee9f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14379f1e-7a73-4c95-84c8-750231a6ee9f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32c61a44-cf45-44d5-8543-7120a8c53ebb' class='xr-var-data-in' type='checkbox'><label for='data-32c61a44-cf45-44d5-8543-7120a8c53ebb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>minval :</span></dt><dd>1.32</dd><dt><span>maxval :</span></dt><dd>1.32</dd></dl></div><div class='xr-var-data'><pre>array([[1.32, 1.32, 1.32, ..., 1.32, 1.32, 1.32],
           [1.32, 1.32, 1.32, ..., 1.32, 1.32, 1.32],
           [1.32, 1.32, 1.32, ..., 1.32, 1.32, 1.32],
           ...,
           [1.32, 1.32,  nan, ...,  nan,  nan,  nan],
           [1.32, 1.32, 1.32, ..., 1.32,  nan,  nan],
           [1.32,  nan,  nan, ...,  nan,  nan,  nan]],
          shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jibeProbability</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.04 0.04 0.04 0.04 ... nan nan nan</div><input id='attrs-6dd8727f-2e2d-45d2-aa48-83da385a84b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6dd8727f-2e2d-45d2-aa48-83da385a84b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b13aea6-2e3c-4a3c-bfdf-adbe6c01cd08' class='xr-var-data-in' type='checkbox'><label for='data-7b13aea6-2e3c-4a3c-bfdf-adbe6c01cd08' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>1/h</dd><dt><span>minval :</span></dt><dd>0.04</dd><dt><span>maxval :</span></dt><dd>0.04</dd></dl></div><div class='xr-var-data'><pre>array([[0.04, 0.04, 0.04, ..., 0.04, 0.04, 0.04],
           [0.04, 0.04, 0.04, ..., 0.04, 0.04, 0.04],
           [0.04, 0.04, 0.04, ..., 0.04, 0.04, 0.04],
           ...,
           [0.04, 0.04,  nan, ...,  nan,  nan,  nan],
           [0.04, 0.04, 0.04, ..., 0.04,  nan,  nan],
           [0.04,  nan,  nan, ...,  nan,  nan,  nan]],
          shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x_wind</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>8.369 7.878 7.241 ... nan nan nan</div><input id='attrs-08a02110-da5e-4e6a-a356-140d3d8ff53d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08a02110-da5e-4e6a-a356-140d3d8ff53d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20a38854-a96d-4297-b58f-56edb3ee2f0f' class='xr-var-data-in' type='checkbox'><label for='data-20a38854-a96d-4297-b58f-56edb3ee2f0f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>minval :</span></dt><dd>2.5917473</dd><dt><span>maxval :</span></dt><dd>10.13047</dd></dl></div><div class='xr-var-data'><pre>array([[8.368666 , 7.8777637, 7.2405863, ..., 6.085024 , 5.631052 ,
            5.631052 ],
           [7.2118864, 7.4964967, 7.7457438, ..., 6.6073985, 6.2734137,
            6.2734137],
           [7.835695 , 7.2142663, 7.00654  , ..., 6.8901877, 6.1569476,
            6.1569476],
           ...,
           [8.015949 ,       nan,       nan, ...,       nan,       nan,
                  nan],
           [8.562704 , 8.13641  , 7.173802 , ...,       nan,       nan,
                  nan],
           [      nan,       nan,       nan, ...,       nan,       nan,
                  nan]], shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y_wind</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>7.72 7.962 8.204 ... nan nan nan</div><input id='attrs-8478f27e-3dbe-4449-a60f-dd9170603247' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8478f27e-3dbe-4449-a60f-dd9170603247' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99fb2d0f-370d-4dcb-93fd-a06859570247' class='xr-var-data-in' type='checkbox'><label for='data-99fb2d0f-370d-4dcb-93fd-a06859570247' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>minval :</span></dt><dd>4.104007</dd><dt><span>maxval :</span></dt><dd>10.933883</dd></dl></div><div class='xr-var-data'><pre>array([[7.7204585, 7.9624715, 8.204241 , ..., 6.3201265, 6.1109815,
            6.1109815],
           [7.592833 , 7.740156 , 7.5727024, ..., 5.5261507, 5.662455 ,
            5.662455 ],
           [7.8440223, 8.196509 , 8.337839 , ..., 7.4486303, 6.8541226,
            6.8541226],
           ...,
           [8.326488 ,       nan,       nan, ...,       nan,       nan,
                  nan],
           [7.570013 , 5.961863 , 8.212934 , ...,       nan,       nan,
                  nan],
           [      nan,       nan,       nan, ...,       nan,       nan,
                  nan]], shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>land_binary_mask</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-e5eb1787-7aad-4ee1-b78d-fb6f381b8c07' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e5eb1787-7aad-4ee1-b78d-fb6f381b8c07' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35814569-a855-4328-9b63-e95236db9c99' class='xr-var-data-in' type='checkbox'><label for='data-35814569-a855-4328-9b63-e95236db9c99' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>minval :</span></dt><dd>0.0</dd><dt><span>maxval :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           ...,
           [ 0.,  0., nan, ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0., nan, nan],
           [ 0., nan, nan, ..., nan, nan, nan]],
          shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x_sea_water_velocity</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.3934 0.377 0.3618 ... nan nan nan</div><input id='attrs-dc182148-377b-4d49-82f8-d18782757029' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc182148-377b-4d49-82f8-d18782757029' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12db5dec-a770-41f8-bf5f-013a9cd742b0' class='xr-var-data-in' type='checkbox'><label for='data-12db5dec-a770-41f8-bf5f-013a9cd742b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>minval :</span></dt><dd>-0.07313075</dd><dt><span>maxval :</span></dt><dd>0.62441623</dd></dl></div><div class='xr-var-data'><pre>array([[0.39339298, 0.37699345, 0.36177668, ..., 0.42582405, 0.3653396 ,
            0.3653396 ],
           [0.37859094, 0.35914993, 0.3391452 , ..., 0.4279482 , 0.42965227,
            0.42965227],
           [0.38661468, 0.38127005, 0.36668426, ..., 0.48902526, 0.40337253,
            0.40337253],
           ...,
           [0.37645492, 0.37316993,        nan, ...,        nan,        nan,
                   nan],
           [0.3752367 , 0.3580411 , 0.3482054 , ..., 0.33659694,        nan,
                   nan],
           [0.3792422 ,        nan,        nan, ...,        nan,        nan,
                   nan]], shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y_sea_water_velocity</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.2684 0.267 0.2603 ... nan nan nan</div><input id='attrs-f5247e0a-b905-41d4-90af-962627fc0a1a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f5247e0a-b905-41d4-90af-962627fc0a1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5e6092e-3e50-43fd-a236-9f89385e0f3d' class='xr-var-data-in' type='checkbox'><label for='data-b5e6092e-3e50-43fd-a236-9f89385e0f3d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>minval :</span></dt><dd>0.036452204</dd><dt><span>maxval :</span></dt><dd>0.4093772</dd></dl></div><div class='xr-var-data'><pre>array([[0.26843497, 0.26703832, 0.26034284, ..., 0.13090283, 0.0694169 ,
            0.0694169 ],
           [0.2673946 , 0.2427523 , 0.23547636, ..., 0.14059709, 0.10357051,
            0.10357051],
           [0.2760797 , 0.2570817 , 0.2570202 , ..., 0.15546852, 0.08495651,
            0.08495651],
           ...,
           [0.27379015, 0.2500639 ,        nan, ...,        nan,        nan,
                   nan],
           [0.27520558, 0.28045914, 0.2615724 , ..., 0.10844941,        nan,
                   nan],
           [0.27756596,        nan,        nan, ...,        nan,        nan,
                   nan]], shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>horizontal_diffusivity</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>100.0 100.0 100.0 ... nan nan nan</div><input id='attrs-63b8f048-0f43-4d22-a5ec-a4c75000b781' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63b8f048-0f43-4d22-a5ec-a4c75000b781' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df5096f1-1de7-4315-b84d-ac6faf7fd2b7' class='xr-var-data-in' type='checkbox'><label for='data-df5096f1-1de7-4315-b84d-ac6faf7fd2b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>minval :</span></dt><dd>100.0</dd><dt><span>maxval :</span></dt><dd>100.0</dd></dl></div><div class='xr-var-data'><pre>array([[100., 100., 100., ..., 100., 100., 100.],
           [100., 100., 100., ..., 100., 100., 100.],
           [100., 100., 100., ..., 100., 100., 100.],
           ...,
           [100., 100.,  nan, ...,  nan,  nan,  nan],
           [100., 100., 100., ..., 100.,  nan,  nan],
           [100.,  nan,  nan, ...,  nan,  nan,  nan]],
          shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_surface_wave_stokes_drift_x_velocity</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.1507 0.1462 0.1401 ... nan nan</div><input id='attrs-1e6ebe0d-a230-444f-93ee-e7162a28c2ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e6ebe0d-a230-444f-93ee-e7162a28c2ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0611a1a-1d61-4700-aa82-13b60d621c66' class='xr-var-data-in' type='checkbox'><label for='data-c0611a1a-1d61-4700-aa82-13b60d621c66' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>minval :</span></dt><dd>0.0904362</dd><dt><span>maxval :</span></dt><dd>0.15231712</dd></dl></div><div class='xr-var-data'><pre>array([[0.15067188, 0.14616041, 0.14014852, ..., 0.10967682, 0.10294781,
            0.10294781],
           [0.14789444, 0.14253873, 0.13854568, ..., 0.10433082, 0.09912949,
            0.09912949],
           [0.14875114, 0.14591534, 0.14030601, ..., 0.11058777, 0.10371803,
            0.10371803],
           ...,
           [0.14716545, 0.14508332,        nan, ...,        nan,        nan,
                   nan],
           [0.14719748, 0.14140378, 0.13935138, ..., 0.10311811,        nan,
                   nan],
           [0.14788556,        nan,        nan, ...,        nan,        nan,
                   nan]], shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_surface_wave_stokes_drift_y_velocity</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.1377 0.1367 0.1348 ... nan nan</div><input id='attrs-77d13fcc-5cbd-4e9d-8213-f2e218e2782d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77d13fcc-5cbd-4e9d-8213-f2e218e2782d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-375034d7-2593-4421-ad72-80d9fced7d57' class='xr-var-data-in' type='checkbox'><label for='data-375034d7-2593-4421-ad72-80d9fced7d57' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>minval :</span></dt><dd>0.064022</dd><dt><span>maxval :</span></dt><dd>0.14145352</dd></dl></div><div class='xr-var-data'><pre>array([[0.13774958, 0.13666748, 0.13476373, ..., 0.0834984 , 0.073408  ,
            0.073408  ],
           [0.13783538, 0.1366703 , 0.13601387, ..., 0.07717463, 0.06886356,
            0.06886356],
           [0.13717914, 0.13698456, 0.1344481 , ..., 0.08272658, 0.07412126,
            0.07412126],
           ...,
           [0.13737151, 0.13741949,        nan, ...,        nan,        nan,
                   nan],
           [0.13686638, 0.1358169 , 0.13587971, ..., 0.07510155,        nan,
                   nan],
           [0.13688995,        nan,        nan, ...,        nan,        nan,
                   nan]], shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_surface_wave_significant_height</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.865 2.744 2.638 ... nan nan nan</div><input id='attrs-d0efca8d-a7f1-4c40-b4a7-27cf0173cd8c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0efca8d-a7f1-4c40-b4a7-27cf0173cd8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01c47fb4-4d3a-42b4-b6f7-852fc9fddde4' class='xr-var-data-in' type='checkbox'><label for='data-01c47fb4-4d3a-42b4-b6f7-852fc9fddde4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>minval :</span></dt><dd>2.0585568</dd><dt><span>maxval :</span></dt><dd>2.8849654</dd></dl></div><div class='xr-var-data'><pre>array([[2.8646934, 2.743999 , 2.6376824, ..., 2.2037427, 2.160954 ,
            2.160954 ],
           [2.8635564, 2.7594402, 2.6572704, ..., 2.178084 , 2.1269631,
            2.1269631],
           [2.8563988, 2.74599  , 2.636373 , ..., 2.1763585, 2.1339383,
            2.1339383],
           ...,
           [2.8581195, 2.7510672,       nan, ...,       nan,       nan,
                  nan],
           [2.8532972, 2.7287772, 2.6421266, ..., 2.2053986,       nan,
                  nan],
           [2.8531985,       nan,       nan, ...,       nan,       nan,
                  nan]], shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>5.522 5.414 5.333 ... nan nan nan</div><input id='attrs-53c1ddde-4d04-4fac-93ed-7b7f980b8b78' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53c1ddde-4d04-4fac-93ed-7b7f980b8b78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07fd47ab-5d1e-4b6f-a738-1b83cc09bfa7' class='xr-var-data-in' type='checkbox'><label for='data-07fd47ab-5d1e-4b6f-a738-1b83cc09bfa7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>minval :</span></dt><dd>5.0597878</dd><dt><span>maxval :</span></dt><dd>5.537801</dd></dl></div><div class='xr-var-data'><pre>array([[5.521557 , 5.4143457, 5.3326087, ..., 5.3327026, 5.400613 ,
            5.400613 ],
           [5.5320363, 5.4409084, 5.351469 , ..., 5.3710413, 5.4133997,
            5.4133997],
           [5.525709 , 5.4162455, 5.331584 , ..., 5.3105946, 5.370969 ,
            5.370969 ],
           ...,
           [5.533041 , 5.4225407,       nan, ...,       nan,       nan,
                  nan],
           [5.5329967, 5.4294233, 5.337722 , ..., 5.4080667,       nan,
                  nan],
           [5.529191 ,       nan,       nan, ...,       nan,       nan,
                  nan]], shape=(1000, 25), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f9cefabc-9011-4de5-a1ef-562ddd81bc2e' class='xr-section-summary-in' type='checkbox' /><label for='section-f9cefabc-9011-4de5-a1ef-562ddd81bc2e' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(98)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.11, ACDD-1.3</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table v85</dd><dt><span>featureType :</span></dt><dd>trajectory</dd><dt><span>title :</span></dt><dd>OpenDrift trajectory simulation</dd><dt><span>summary :</span></dt><dd>Output from simulation with OpenDrift framework</dd><dt><span>keywords :</span></dt><dd>trajectory, drift, lagrangian, simulation</dd><dt><span>history :</span></dt><dd>Created 2026-09-28 09:35:01.158095</dd><dt><span>date_created :</span></dt><dd>2026-09-28T09:35:01.158107</dd><dt><span>source :</span></dt><dd>Output from simulation with OpenDrift</dd><dt><span>model_url :</span></dt><dd>https://github.com/OpenDrift/opendrift</dd><dt><span>opendrift_class :</span></dt><dd>ShipDrift</dd><dt><span>opendrift_module :</span></dt><dd>opendrift.models.shipdrift</dd><dt><span>readers :</span></dt><dd>odict_keys([&#x27;LazyReader: https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml&#x27;, &#x27;LazyReader: https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc&#x27;, &#x27;LazyReader: https://thredds.met.no/thredds/dodsC/cmems/mywavewam3km/dataset-wam-arctic-1hr3km-be.ncml&#x27;, &#x27;global_landmask&#x27;])</dd><dt><span>time_coverage_start :</span></dt><dd>2026-09-28 09:34:55.245878</dd><dt><span>time_step_calculation :</span></dt><dd>1:00:00</dd><dt><span>time_step_output :</span></dt><dd>1:00:00</dd><dt><span>config_environment:constant:x_wind :</span></dt><dd>None</dd><dt><span>config_environment:fallback:x_wind :</span></dt><dd>None</dd><dt><span>config_environment:constant:y_wind :</span></dt><dd>None</dd><dt><span>config_environment:fallback:y_wind :</span></dt><dd>None</dd><dt><span>config_environment:constant:land_binary_mask :</span></dt><dd>None</dd><dt><span>config_environment:fallback:land_binary_mask :</span></dt><dd>None</dd><dt><span>config_environment:constant:x_sea_water_velocity :</span></dt><dd>None</dd><dt><span>config_environment:fallback:x_sea_water_velocity :</span></dt><dd>None</dd><dt><span>config_environment:constant:y_sea_water_velocity :</span></dt><dd>None</dd><dt><span>config_environment:fallback:y_sea_water_velocity :</span></dt><dd>None</dd><dt><span>config_environment:constant:horizontal_diffusivity :</span></dt><dd>None</dd><dt><span>config_environment:fallback:horizontal_diffusivity :</span></dt><dd>100</dd><dt><span>config_environment:constant:sea_surface_wave_stokes_drift_x_velocity :</span></dt><dd>None</dd><dt><span>config_environment:fallback:sea_surface_wave_stokes_drift_x_velocity :</span></dt><dd>0</dd><dt><span>config_environment:constant:sea_surface_wave_stokes_drift_y_velocity :</span></dt><dd>None</dd><dt><span>config_environment:fallback:sea_surface_wave_stokes_drift_y_velocity :</span></dt><dd>0</dd><dt><span>config_environment:constant:sea_surface_wave_significant_height :</span></dt><dd>None</dd><dt><span>config_environment:fallback:sea_surface_wave_significant_height :</span></dt><dd>0</dd><dt><span>config_environment:constant:sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment :</span></dt><dd>None</dd><dt><span>config_environment:fallback:sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment :</span></dt><dd>0</dd><dt><span>config_general:use_auto_landmask :</span></dt><dd>True</dd><dt><span>config_drift:current_uncertainty :</span></dt><dd>0</dd><dt><span>config_drift:current_uncertainty_uniform :</span></dt><dd>0</dd><dt><span>config_drift:max_speed :</span></dt><dd>2.0</dd><dt><span>config_readers:max_number_of_fails :</span></dt><dd>1</dd><dt><span>config_general:simulation_name :</span></dt><dd></dd><dt><span>config_general:coastline_action :</span></dt><dd>stranding</dd><dt><span>config_general:coastline_approximation_precision :</span></dt><dd>0.001</dd><dt><span>config_general:time_step_minutes :</span></dt><dd>60</dd><dt><span>config_general:time_step_output_minutes :</span></dt><dd>None</dd><dt><span>config_seed:ocean_only :</span></dt><dd>True</dd><dt><span>config_seed:number :</span></dt><dd>1</dd><dt><span>config_drift:max_age_seconds :</span></dt><dd>None</dd><dt><span>config_drift:advection_scheme :</span></dt><dd>euler</dd><dt><span>config_drift:profiles_depth :</span></dt><dd>50</dd><dt><span>config_drift:wind_uncertainty :</span></dt><dd>0</dd><dt><span>config_drift:relative_wind :</span></dt><dd>False</dd><dt><span>config_drift:deactivate_north_of :</span></dt><dd>None</dd><dt><span>config_drift:deactivate_south_of :</span></dt><dd>None</dd><dt><span>config_drift:deactivate_east_of :</span></dt><dd>None</dd><dt><span>config_drift:deactivate_west_of :</span></dt><dd>None</dd><dt><span>config_seed:origin_marker :</span></dt><dd>0</dd><dt><span>config_seed:z :</span></dt><dd>0</dd><dt><span>config_seed:orientation :</span></dt><dd>random</dd><dt><span>config_seed:length :</span></dt><dd>80</dd><dt><span>config_seed:height :</span></dt><dd>8</dd><dt><span>config_seed:draft :</span></dt><dd>4.0</dd><dt><span>config_seed:beam :</span></dt><dd>10</dd><dt><span>config_seed:wind_drag_coeff :</span></dt><dd>1</dd><dt><span>config_seed:water_drag_coeff :</span></dt><dd>1</dd><dt><span>config_seed:jibeProbability :</span></dt><dd>0.04</dd><dt><span>opendrift_version :</span></dt><dd>1.14.11</dd><dt><span>seed_geojson :</span></dt><dd>{&quot;features&quot;: [], &quot;type&quot;: &quot;FeatureCollection&quot;}</dd><dt><span>simulation_time :</span></dt><dd>2026-09-28 09:35:01.378908</dd><dt><span>reader_x_wind :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc&#x27;]</dd><dt><span>reader_y_wind :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc&#x27;]</dd><dt><span>reader_land_binary_mask :</span></dt><dd>[&#x27;global_landmask&#x27;]</dd><dt><span>reader_x_sea_water_velocity :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml&#x27;]</dd><dt><span>reader_y_sea_water_velocity :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml&#x27;]</dd><dt><span>reader_horizontal_diffusivity :</span></dt><dd>100</dd><dt><span>reader_sea_surface_wave_stokes_drift_x_velocity :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/cmems/mywavewam3km/dataset-wam-arctic-1hr3km-be.ncml&#x27;]</dd><dt><span>reader_sea_surface_wave_stokes_drift_y_velocity :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/cmems/mywavewam3km/dataset-wam-arctic-1hr3km-be.ncml&#x27;]</dd><dt><span>reader_sea_surface_wave_significant_height :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/cmems/mywavewam3km/dataset-wam-arctic-1hr3km-be.ncml&#x27;]</dd><dt><span>reader_sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/cmems/mywavewam3km/dataset-wam-arctic-1hr3km-be.ncml&#x27;]</dd><dt><span>time_coverage_end :</span></dt><dd>2026-09-29 09:34:55.245878</dd><dt><span>time_coverage_duration :</span></dt><dd>P1DT0H0M0S</dd><dt><span>time_coverage_resolution :</span></dt><dd>P0DT1H0M0S</dd><dt><span>performance :</span></dt><dd>--------------------
    Reader performance:
    --------------------
    global_landmask
     0:00:00.0  total
     0:00:00.0  preparing
     0:00:00.0  reading
     0:00:00.0  masking
    --------------------
    https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
     0:00:13.8  total
     0:00:00.0  preparing
     0:00:13.7  reading
     0:00:00.0  interpolation
     0:00:00.0  interpolation_time
     0:00:00.0  rotating vectors
     0:00:00.0  masking
    --------------------
    https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc
     0:00:16.1  total
     0:00:00.0  preparing
     0:00:16.0  reading
     0:00:00.1  interpolation
     0:00:00.0  interpolation_time
     0:00:00.0  rotating vectors
     0:00:00.0  masking
    --------------------
    https://thredds.met.no/thredds/dodsC/cmems/mywavewam3km/dataset-wam-arctic-1hr3km-be.ncml
     0:00:17.3  total
     0:00:00.0  preparing
     0:00:17.3  reading
     0:00:00.0  interpolation
     0:00:00.0  interpolation_time
     0:00:00.0  rotating vectors
     0:00:00.0  masking
    --------------------
    Performance:
     1:00.1 total time
        5.9 configuration
        0.2 preparing main loop
          0.0 moving elements to ocean
       53.9 main loop
          0.2 updating elements
        0.0 cleaning up
    --------------------
    </dd><dt><span>geospatial_bounds_crs :</span></dt><dd>EPSG:4326</dd><dt><span>geospatial_bounds_vertical_crs :</span></dt><dd>EPSG:5831</dd><dt><span>geospatial_lat_min :</span></dt><dd>62.973133</dd><dt><span>geospatial_lat_max :</span></dt><dd>63.44935</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>point</dd><dt><span>geospatial_lon_min :</span></dt><dd>4.9398756</dd><dt><span>geospatial_lon_max :</span></dt><dd>6.1489625</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>point</dd><dt><span>runtime :</span></dt><dd>0:01:00.119391</dd><dt><span>geospatial_vertical_min :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_max :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_positive :</span></dt><dd>up</dd></dl></div></li></ul></div></div>
    </div>
    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 30-31

Print and plot results

.. GENERATED FROM PYTHON SOURCE LINES 31-36

.. code-block:: Python

    print(o)
    o.plot(linecolor='orientation')
    #o.animation(color='orientation', markersize=20, filename="orientation.gif", legend=['left','right'],colorbar=False,cmap='bwr')
    o.animation(color='orientation', legend=['left','right'], markersize=20, colorbar=False, cmap='bwr')




.. image-sg:: /gallery/images/sphx_glr_example_shipdrift_001.png
   :alt: OpenDrift - ShipDrift 2026-09-28 09:34 to 2026-09-29 09:34 UTC (25 steps)
   :srcset: /gallery/images/sphx_glr_example_shipdrift_001.png
   :class: sphx-glr-single-img


.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    ===========================
    --------------------
    Reader performance:
    --------------------
    global_landmask
     0:00:00.0  total
     0:00:00.0  preparing
     0:00:00.0  reading
     0:00:00.0  masking
    --------------------
    https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
     0:00:13.8  total
     0:00:00.0  preparing
     0:00:13.7  reading
     0:00:00.0  interpolation
     0:00:00.0  interpolation_time
     0:00:00.0  rotating vectors
     0:00:00.0  masking
    --------------------
    https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc
     0:00:16.1  total
     0:00:00.0  preparing
     0:00:16.0  reading
     0:00:00.1  interpolation
     0:00:00.0  interpolation_time
     0:00:00.0  rotating vectors
     0:00:00.0  masking
    --------------------
    https://thredds.met.no/thredds/dodsC/cmems/mywavewam3km/dataset-wam-arctic-1hr3km-be.ncml
     0:00:17.3  total
     0:00:00.0  preparing
     0:00:17.3  reading
     0:00:00.0  interpolation
     0:00:00.0  interpolation_time
     0:00:00.0  rotating vectors
     0:00:00.0  masking
    --------------------
    Performance:
     1:00.1 total time
        5.9 configuration
        0.2 preparing main loop
          0.0 moving elements to ocean
       53.9 main loop
          0.2 updating elements
        0.0 cleaning up
    --------------------
    ===========================
    Model:  ShipDrift     (OpenDrift version 1.14.11)
            31 active ShipObject particles  (969 deactivated, 0 scheduled)
    -------------------
    Environment variables:
      -----
      land_binary_mask
         1) global_landmask
      -----
      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
      -----
      sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment
      sea_surface_wave_significant_height
      sea_surface_wave_stokes_drift_x_velocity
      sea_surface_wave_stokes_drift_y_velocity
         1) https://thredds.met.no/thredds/dodsC/cmems/mywavewam3km/dataset-wam-arctic-1hr3km-be.ncml
      -----
    Readers not added for the following variables:
      horizontal_diffusivity

    Discarded readers:

    Time:
            Start: 2026-09-28 09:34:55.245878 UTC
            Present: 2026-09-29 09:34:55.245878 UTC
            Calculation steps: 24 * 1:00:00 - total time: 1 day, 0:00:00
            Output steps: 25 * 1:00:00
    -------------------
    "Missing variables: ['x_wind', 'y_wind']", "Missing variables: ['x_wind', 'y_wind']", "Missing variables: ['x_wind', 'y_wind']", "Missing variables: ['x_wind', 'y_wind']", "Missing variables: ['x_wind', 'y_wind']", "Missing variables: ['x_wind', 'y_wind']", "Missing variables: ['x_wind', 'y_wind']", "Missing variables: ['x_wind', 'y_wind']", "Missing variables: ['x_wind', 'y_wind']", "Missing variables: ['x_wind', 'y_wind']", "Missing variables: ['x_wind', 'y_wind']", "Missing variables: ['x_wind', 'y_wind']", "Missing variables: ['x_wind', 'y_wind']", "Missing variables: ['x_wind', 'y_wind']", "Missing variables: ['x_wind', 'y_wind']", "Missing variables: ['x_wind', 'y_wind']", "Missing variables: ['x_wind', 'y_wind']", "Missing variables: ['x_wind', 'y_wind']", "Missing variables: ['x_wind', 'y_wind']", "Missing variables: ['x_wind', 'y_wind']", "Missing variables: ['x_wind', 'y_wind']", "Missing variables: ['x_wind', 'y_wind']", "Missing variables: ['x_wind', 'y_wind']", "Missing variables: ['x_wind', 'y_wind']"
    ===========================

    09:36:11 INFO    opendrift:4823: Saving animation to /root/project/docs/source/gallery/animations/example_shipdrift_0.gif...
    09:36:21 INFO    opendrift:3241: Time to make animation: 0:00:10.438717




.. GENERATED FROM PYTHON SOURCE LINES 37-38

.. image:: /gallery/animations/example_shipdrift_0.gif


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (1 minutes 34.693 seconds)


.. _sphx_glr_download_gallery_example_shipdrift.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: example_shipdrift.ipynb <example_shipdrift.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: example_shipdrift.py <example_shipdrift.py>`

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: example_shipdrift.zip <example_shipdrift.zip>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_