.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "gallery/example_oil_ice.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_oil_ice.py>`
        to download the full example code.

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

.. _sphx_glr_gallery_example_oil_ice.py:


Oil in ice
==================================

.. GENERATED FROM PYTHON SOURCE LINES 6-14

.. code-block:: Python


    from datetime import datetime, timedelta
    from opendrift.readers import reader_netCDF_CF_generic
    from opendrift.models.openoil import OpenOil
    import cmocean

    o = OpenOil(loglevel=20)





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

 .. code-block:: none

    16:03:48 INFO    opendrift:569: OpenDriftSimulation initialised (version 1.14.10 / v1.14.10-34-gf7a892a)




.. GENERATED FROM PYTHON SOURCE LINES 15-16

Using live data from Barents 2.5 km ocean model

.. GENERATED FROM PYTHON SOURCE LINES 16-18

.. code-block:: Python

    o.add_readers_from_list(['https://thredds.met.no/thredds/dodsC/fou-hi/barents_eps_zdepth_be'])








.. GENERATED FROM PYTHON SOURCE LINES 19-20

Adjusting some configuration

.. GENERATED FROM PYTHON SOURCE LINES 20-26

.. code-block:: Python

    o.set_config('processes:dispersion',  False)
    o.set_config('processes:evaporation',  False)
    o.set_config('processes:emulsification',  False)
    o.set_config('environment:constant:horizontal_diffusivity', 10)
    o.set_config('drift:truncate_ocean_model_below_m', 3)








.. GENERATED FROM PYTHON SOURCE LINES 27-28

Imaginary oil spill in Hinlopen strait

.. GENERATED FROM PYTHON SOURCE LINES 28-31

.. code-block:: Python

    o.seed_elements(lon=19.1909, lat=79.5986, radius=50,
                    number=3000, time=datetime.now() - timedelta(days=7))





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

 .. code-block:: none

    16:03:48 INFO    opendrift.models.openoil.openoil:1720: Oil type not specified, using default: GENERIC BUNKER C
    16:03:48 INFO    opendrift.models.openoil.adios.dirjs:86: Querying ADIOS database for oil: GENERIC BUNKER C
    16:03:48 INFO    opendrift.models.openoil.openoil:1731: Using density 988.1 and viscosity 0.021692333877975332 of oiltype GENERIC BUNKER C
    16:03:48 INFO    opendrift.models.basemodel.environment:203: Adding a global landmask from GSHHG
    16:03:54 INFO    opendrift.models.basemodel.environment:227: Fallback values will be used for the following variables which have no readers: 
    16:03:54 INFO    opendrift.models.basemodel.environment:230:    sea_surface_height: 0.000000
    16:03:54 INFO    opendrift.models.basemodel.environment:230:    upward_sea_water_velocity: 0.000000
    16:03:54 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_significant_height: 0.000000
    16:03:54 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_stokes_drift_x_velocity: 0.000000
    16:03:54 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_stokes_drift_y_velocity: 0.000000
    16:03:54 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_period_at_variance_spectral_density_maximum: 0.000000
    16:03:54 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment: 0.000000
    16:03:54 INFO    opendrift.models.basemodel.environment:230:    sea_ice_area_fraction: 0.000000
    16:03:54 INFO    opendrift.models.basemodel.environment:230:    sea_ice_x_velocity: 0.000000
    16:03:54 INFO    opendrift.models.basemodel.environment:230:    sea_ice_y_velocity: 0.000000
    16:03:54 INFO    opendrift.models.basemodel.environment:230:    sea_water_temperature: 10.000000
    16:03:54 INFO    opendrift.models.basemodel.environment:230:    sea_water_salinity: 34.000000
    16:03:54 INFO    opendrift.models.basemodel.environment:230:    sea_floor_depth_below_sea_level: 10000.000000
    16:03:54 INFO    opendrift.models.basemodel.environment:230:    ocean_vertical_diffusivity: 0.020000
    16:03:54 INFO    opendrift.models.basemodel.environment:230:    ocean_mixed_layer_thickness: 50.000000




.. GENERATED FROM PYTHON SOURCE LINES 32-33

Running model

.. GENERATED FROM PYTHON SOURCE LINES 33-35

.. code-block:: Python

    o.run(duration=timedelta(hours=48), time_step=1800, time_step_output=3600)





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

 .. code-block:: none

    16:03:54 INFO    opendrift:1903: Skipping environment variable upward_sea_water_velocity because of condition ['drift:vertical_advection', 'is', False]
    16:03:54 INFO    opendrift:1914: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
    16:03:54 INFO    opendrift:1914: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
    16:03:54 INFO    opendrift:955: Using existing reader for land_binary_mask to move elements to ocean
    16:03:54 INFO    opendrift:986: All points are in ocean
    16:03:54 INFO    opendrift.models.openoil.openoil:697: Oil-water surface tension is 0.035935 Nm
    16:03:54 INFO    opendrift.models.openoil.openoil:710: Max water fraction not available for GENERIC BUNKER C, using default
    16:03:54 INFO    opendrift:2213: 2026-08-14 16:03:48.245564 - step 1 of 96 - 3000 active elements (0 deactivated)
    16:03:54 INFO    opendrift.readers:67: Opening file with xr.open_dataset
    16:03:57 INFO    opendrift.readers.reader_netCDF_CF_generic:340: Detected dimensions: {'x': 'X', 'y': 'Y', 'z': 'depth', 'time': 'time'}
    16:03:57 INFO    opendrift.readers.basereader:175: Variable x_sea_water_velocity will be rotated from eastward_sea_water_velocity
    16:03:57 INFO    opendrift.readers.basereader:175: Variable y_sea_water_velocity will be rotated from northward_sea_water_velocity
    16:04:00 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.0013129468 to -0.0001712393) found for ocean_vertical_diffusivity, replacing with NaN
    16:04:00 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:04:02 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.0013735034 to -4.78099e-05) found for ocean_vertical_diffusivity, replacing with NaN
    16:04:02 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:04:02 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:02 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:02 INFO    opendrift:2213: 2026-08-14 16:33:48.245564 - step 2 of 96 - 3000 active elements (0 deactivated)
    16:04:02 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:02 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:02 INFO    opendrift:2213: 2026-08-14 17:03:48.245564 - step 3 of 96 - 3000 active elements (0 deactivated)
    16:04:04 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.0031535802 to -0.0003115001) found for ocean_vertical_diffusivity, replacing with NaN
    16:04:04 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:04:04 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:04 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:04 INFO    opendrift:2213: 2026-08-14 17:33:48.245564 - step 4 of 96 - 2997 active elements (3 deactivated)
    16:04:04 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:04 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:05 INFO    opendrift:2213: 2026-08-14 18:03:48.245564 - step 5 of 96 - 2579 active elements (421 deactivated)
    16:04:07 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.007673067 to -0.0018609494) found for ocean_vertical_diffusivity, replacing with NaN
    16:04:07 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:04:07 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:07 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:07 INFO    opendrift:2213: 2026-08-14 18:33:48.245564 - step 6 of 96 - 2372 active elements (628 deactivated)
    16:04:07 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:07 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:07 INFO    opendrift:2213: 2026-08-14 19:03:48.245564 - step 7 of 96 - 2362 active elements (638 deactivated)
    16:04:09 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.01187552 to -0.0025451193) found for ocean_vertical_diffusivity, replacing with NaN
    16:04:09 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:04:09 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:09 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:09 INFO    opendrift:2213: 2026-08-14 19:33:48.245564 - step 8 of 96 - 2361 active elements (639 deactivated)
    16:04:09 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:09 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:09 INFO    opendrift:2213: 2026-08-14 20:03:48.245564 - step 9 of 96 - 2361 active elements (639 deactivated)
    16:04:11 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.013444167 to -0.0016297332) found for ocean_vertical_diffusivity, replacing with NaN
    16:04:11 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:04:11 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:11 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:12 INFO    opendrift:2213: 2026-08-14 20:33:48.245564 - step 10 of 96 - 2361 active elements (639 deactivated)
    16:04:12 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:12 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:12 INFO    opendrift:2213: 2026-08-14 21:03:48.245564 - step 11 of 96 - 2361 active elements (639 deactivated)
    16:04:14 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.014127989 to -0.0016484553) found for ocean_vertical_diffusivity, replacing with NaN
    16:04:14 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:04:14 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:14 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:14 INFO    opendrift:2213: 2026-08-14 21:33:48.245564 - step 12 of 96 - 2361 active elements (639 deactivated)
    16:04:14 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:14 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:14 INFO    opendrift:2213: 2026-08-14 22:03:48.245564 - step 13 of 96 - 2361 active elements (639 deactivated)
    16:04:16 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.012810257 to -0.0012126333) found for ocean_vertical_diffusivity, replacing with NaN
    16:04:16 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:04:16 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:16 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:16 INFO    opendrift:2213: 2026-08-14 22:33:48.245564 - step 14 of 96 - 2361 active elements (639 deactivated)
    16:04:16 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:16 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:17 INFO    opendrift:2213: 2026-08-14 23:03:48.245564 - step 15 of 96 - 2361 active elements (639 deactivated)
    16:04:20 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.010663228 to -0.0008541059) found for ocean_vertical_diffusivity, replacing with NaN
    16:04:20 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:04:20 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:20 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:20 INFO    opendrift:2213: 2026-08-14 23:33:48.245564 - step 16 of 96 - 2361 active elements (639 deactivated)
    16:04:20 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:20 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:20 INFO    opendrift:2213: 2026-08-15 00:03:48.245564 - step 17 of 96 - 2361 active elements (639 deactivated)
    16:04:22 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.008070813 to -0.0010545516) found for ocean_vertical_diffusivity, replacing with NaN
    16:04:22 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:04:22 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:22 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:22 INFO    opendrift:2213: 2026-08-15 00:33:48.245564 - step 18 of 96 - 2360 active elements (640 deactivated)
    16:04:22 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:22 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:22 INFO    opendrift:2213: 2026-08-15 01:03:48.245564 - step 19 of 96 - 2357 active elements (643 deactivated)
    16:04:25 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.004820455 to -0.0006173821) found for ocean_vertical_diffusivity, replacing with NaN
    16:04:25 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:04:25 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:25 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:25 INFO    opendrift:2213: 2026-08-15 01:33:48.245564 - step 20 of 96 - 2350 active elements (650 deactivated)
    16:04:25 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:25 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:25 INFO    opendrift:2213: 2026-08-15 02:03:48.245564 - step 21 of 96 - 2327 active elements (673 deactivated)
    16:04:27 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.0025316302 to -0.00027511045) found for ocean_vertical_diffusivity, replacing with NaN
    16:04:27 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:04:27 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:27 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:28 INFO    opendrift:2213: 2026-08-15 02:33:48.245564 - step 22 of 96 - 2279 active elements (721 deactivated)
    16:04:28 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:28 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:28 INFO    opendrift:2213: 2026-08-15 03:03:48.245564 - step 23 of 96 - 2226 active elements (774 deactivated)
    16:04:30 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.0006730703 to -2.7391423e-05) found for ocean_vertical_diffusivity, replacing with NaN
    16:04:30 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:04:30 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:30 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:30 INFO    opendrift:2213: 2026-08-15 03:33:48.245564 - step 24 of 96 - 2191 active elements (809 deactivated)
    16:04:30 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:30 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:30 INFO    opendrift:2213: 2026-08-15 04:03:48.245564 - step 25 of 96 - 2176 active elements (824 deactivated)
    16:04:33 WARNING opendrift.readers.basereader.variables:660: Invalid values (-9.99695e-05 to -3.9191427e-06) found for ocean_vertical_diffusivity, replacing with NaN
    16:04:33 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:04:33 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:33 INFO    opendrift:2213: 2026-08-15 04:33:48.245564 - step 26 of 96 - 2173 active elements (827 deactivated)
    16:04:33 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:33 INFO    opendrift:2213: 2026-08-15 05:03:48.245564 - step 27 of 96 - 2173 active elements (827 deactivated)
    16:04:35 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.0010507532 to -1.0128311e-06) found for ocean_vertical_diffusivity, replacing with NaN
    16:04:35 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:04:35 INFO    opendrift:2213: 2026-08-15 05:33:48.245564 - step 28 of 96 - 2172 active elements (828 deactivated)
    16:04:35 INFO    opendrift:2213: 2026-08-15 06:03:48.245564 - step 29 of 96 - 2172 active elements (828 deactivated)
    16:04:38 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.003693833 to -0.00015574909) found for ocean_vertical_diffusivity, replacing with NaN
    16:04:38 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:04:38 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:38 INFO    opendrift:2213: 2026-08-15 06:33:48.245564 - step 30 of 96 - 2172 active elements (828 deactivated)
    16:04:38 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:38 INFO    opendrift:2213: 2026-08-15 07:03:48.245564 - step 31 of 96 - 2172 active elements (828 deactivated)
    16:04:41 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.007090264 to -0.0039401334) found for ocean_vertical_diffusivity, replacing with NaN
    16:04:41 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:04:41 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:41 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:41 INFO    opendrift:2213: 2026-08-15 07:33:48.245564 - step 32 of 96 - 2172 active elements (828 deactivated)
    16:04:41 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:41 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:41 INFO    opendrift:2213: 2026-08-15 08:03:48.245564 - step 33 of 96 - 2172 active elements (828 deactivated)
    16:04:44 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.012421562 to -0.00657465) found for ocean_vertical_diffusivity, replacing with NaN
    16:04:44 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:04:44 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:44 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:44 INFO    opendrift:2213: 2026-08-15 08:33:48.245564 - step 34 of 96 - 2172 active elements (828 deactivated)
    16:04:44 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:44 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:44 INFO    opendrift:2213: 2026-08-15 09:03:48.245564 - step 35 of 96 - 2172 active elements (828 deactivated)
    16:04:46 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.013188317 to -0.0056959037) found for ocean_vertical_diffusivity, replacing with NaN
    16:04:46 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:04:46 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:46 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:46 INFO    opendrift:2213: 2026-08-15 09:33:48.245564 - step 36 of 96 - 2171 active elements (829 deactivated)
    16:04:46 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:46 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:46 INFO    opendrift:2213: 2026-08-15 10:03:48.245564 - step 37 of 96 - 2171 active elements (829 deactivated)
    16:04:48 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.014630047 to -0.006203441) found for ocean_vertical_diffusivity, replacing with NaN
    16:04:48 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:04:48 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:48 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:49 INFO    opendrift:2213: 2026-08-15 10:33:48.245564 - step 38 of 96 - 2171 active elements (829 deactivated)
    16:04:49 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:49 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:49 INFO    opendrift:2213: 2026-08-15 11:03:48.245564 - step 39 of 96 - 2171 active elements (829 deactivated)
    16:04:51 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.014283766 to -0.006093085) found for ocean_vertical_diffusivity, replacing with NaN
    16:04:51 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:04:51 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:51 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:51 INFO    opendrift:2213: 2026-08-15 11:33:48.245564 - step 40 of 96 - 2171 active elements (829 deactivated)
    16:04:51 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:51 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:51 INFO    opendrift:2213: 2026-08-15 12:03:48.245564 - step 41 of 96 - 2167 active elements (833 deactivated)
    16:04:53 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.012389727 to -0.0037737356) found for ocean_vertical_diffusivity, replacing with NaN
    16:04:53 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:04:53 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:53 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:53 INFO    opendrift:2213: 2026-08-15 12:33:48.245564 - step 42 of 96 - 2165 active elements (835 deactivated)
    16:04:53 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:53 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:54 INFO    opendrift:2213: 2026-08-15 13:03:48.245564 - step 43 of 96 - 2159 active elements (841 deactivated)
    16:04:56 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.009029919 to -0.003735284) found for ocean_vertical_diffusivity, replacing with NaN
    16:04:56 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:04:56 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:56 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:56 INFO    opendrift:2213: 2026-08-15 13:33:48.245564 - step 44 of 96 - 2154 active elements (846 deactivated)
    16:04:56 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:56 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:56 INFO    opendrift:2213: 2026-08-15 14:03:48.245564 - step 45 of 96 - 2151 active elements (849 deactivated)
    16:04:59 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.0061427723 to -0.0019427064) found for ocean_vertical_diffusivity, replacing with NaN
    16:04:59 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:04:59 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:59 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:59 INFO    opendrift:2213: 2026-08-15 14:33:48.245564 - step 46 of 96 - 2151 active elements (849 deactivated)
    16:04:59 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:59 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:04:59 INFO    opendrift:2213: 2026-08-15 15:03:48.245564 - step 47 of 96 - 2151 active elements (849 deactivated)
    16:05:02 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.003494366 to -0.0008994574) found for ocean_vertical_diffusivity, replacing with NaN
    16:05:02 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:05:02 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:02 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:02 INFO    opendrift:2213: 2026-08-15 15:33:48.245564 - step 48 of 96 - 2151 active elements (849 deactivated)
    16:05:02 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:02 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:02 INFO    opendrift:2213: 2026-08-15 16:03:48.245564 - step 49 of 96 - 2151 active elements (849 deactivated)
    16:05:04 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.0021009354 to -0.00024730305) found for ocean_vertical_diffusivity, replacing with NaN
    16:05:04 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:05:04 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:04 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:05 INFO    opendrift:2213: 2026-08-15 16:33:48.245564 - step 50 of 96 - 2151 active elements (849 deactivated)
    16:05:05 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:05 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:05 INFO    opendrift:2213: 2026-08-15 17:03:48.245564 - step 51 of 96 - 2151 active elements (849 deactivated)
    16:05:07 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.0016143562 to -0.0001237414) found for ocean_vertical_diffusivity, replacing with NaN
    16:05:07 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:05:07 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:07 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:07 INFO    opendrift:2213: 2026-08-15 17:33:48.245564 - step 52 of 96 - 2151 active elements (849 deactivated)
    16:05:07 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:07 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:07 INFO    opendrift:2213: 2026-08-15 18:03:48.245564 - step 53 of 96 - 2151 active elements (849 deactivated)
    16:05:09 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.0025237205 to -0.00057393144) found for ocean_vertical_diffusivity, replacing with NaN
    16:05:09 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:05:09 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:09 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:10 INFO    opendrift:2213: 2026-08-15 18:33:48.245564 - step 54 of 96 - 2151 active elements (849 deactivated)
    16:05:10 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:10 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:10 INFO    opendrift:2213: 2026-08-15 19:03:48.245564 - step 55 of 96 - 2151 active elements (849 deactivated)
    16:05:12 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.0045302804 to -0.00077502045) found for ocean_vertical_diffusivity, replacing with NaN
    16:05:12 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:05:12 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:12 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:12 INFO    opendrift:2213: 2026-08-15 19:33:48.245564 - step 56 of 96 - 2151 active elements (849 deactivated)
    16:05:12 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:12 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:12 INFO    opendrift:2213: 2026-08-15 20:03:48.245564 - step 57 of 96 - 2151 active elements (849 deactivated)
    16:05:14 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.0048434073 to -0.0010346165) found for ocean_vertical_diffusivity, replacing with NaN
    16:05:14 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:05:14 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:14 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:14 INFO    opendrift:2213: 2026-08-15 20:33:48.245564 - step 58 of 96 - 2148 active elements (852 deactivated)
    16:05:14 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:14 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:14 INFO    opendrift:2213: 2026-08-15 21:03:48.245564 - step 59 of 96 - 2146 active elements (854 deactivated)
    16:05:17 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.0042495322 to -0.0010594983) found for ocean_vertical_diffusivity, replacing with NaN
    16:05:17 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:05:17 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:17 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:17 INFO    opendrift:2213: 2026-08-15 21:33:48.245564 - step 60 of 96 - 2144 active elements (856 deactivated)
    16:05:17 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:17 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:17 INFO    opendrift:2213: 2026-08-15 22:03:48.245564 - step 61 of 96 - 2143 active elements (857 deactivated)
    16:05:19 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.006253255 to -0.0010889892) found for ocean_vertical_diffusivity, replacing with NaN
    16:05:19 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:05:19 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:19 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:19 INFO    opendrift:2213: 2026-08-15 22:33:48.245564 - step 62 of 96 - 2142 active elements (858 deactivated)
    16:05:19 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:19 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:19 INFO    opendrift:2213: 2026-08-15 23:03:48.245564 - step 63 of 96 - 2141 active elements (859 deactivated)
    16:05:22 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.007912601 to -0.0010501852) found for ocean_vertical_diffusivity, replacing with NaN
    16:05:22 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:05:22 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:22 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:22 INFO    opendrift:2213: 2026-08-15 23:33:48.245564 - step 64 of 96 - 2137 active elements (863 deactivated)
    16:05:22 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:22 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:22 INFO    opendrift:2213: 2026-08-16 00:03:48.245564 - step 65 of 96 - 2137 active elements (863 deactivated)
    16:05:24 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.0050434326 to -0.0010942697) found for ocean_vertical_diffusivity, replacing with NaN
    16:05:24 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:05:24 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:24 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:24 INFO    opendrift:2213: 2026-08-16 00:33:48.245564 - step 66 of 96 - 2137 active elements (863 deactivated)
    16:05:24 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:24 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:24 INFO    opendrift:2213: 2026-08-16 01:03:48.245564 - step 67 of 96 - 2137 active elements (863 deactivated)
    16:05:26 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.0039256164 to -0.00087072013) found for ocean_vertical_diffusivity, replacing with NaN
    16:05:26 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:05:26 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:26 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:27 INFO    opendrift:2213: 2026-08-16 01:33:48.245564 - step 68 of 96 - 2137 active elements (863 deactivated)
    16:05:27 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:27 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:27 INFO    opendrift:2213: 2026-08-16 02:03:48.245564 - step 69 of 96 - 2137 active elements (863 deactivated)
    16:05:29 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.0047201426 to -0.00035995504) found for ocean_vertical_diffusivity, replacing with NaN
    16:05:29 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:05:29 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:29 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:29 INFO    opendrift:2213: 2026-08-16 02:33:48.245564 - step 70 of 96 - 2137 active elements (863 deactivated)
    16:05:29 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:29 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:29 INFO    opendrift:2213: 2026-08-16 03:03:48.245564 - step 71 of 96 - 2137 active elements (863 deactivated)
    16:05:31 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.003994554 to -7.0650705e-05) found for ocean_vertical_diffusivity, replacing with NaN
    16:05:31 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:05:31 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:31 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:31 INFO    opendrift:2213: 2026-08-16 03:33:48.245564 - step 72 of 96 - 2137 active elements (863 deactivated)
    16:05:31 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:31 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:31 INFO    opendrift:2213: 2026-08-16 04:03:48.245564 - step 73 of 96 - 2137 active elements (863 deactivated)
    16:05:33 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.001781153 to -6.5789527e-06) found for ocean_vertical_diffusivity, replacing with NaN
    16:05:33 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:05:33 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:33 INFO    opendrift:2213: 2026-08-16 04:33:48.245564 - step 74 of 96 - 2137 active elements (863 deactivated)
    16:05:33 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:33 INFO    opendrift:2213: 2026-08-16 05:03:48.245564 - step 75 of 96 - 2137 active elements (863 deactivated)
    16:05:36 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.00057409663 to -7.855016e-06) found for ocean_vertical_diffusivity, replacing with NaN
    16:05:36 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:05:36 INFO    opendrift:2213: 2026-08-16 05:33:48.245564 - step 76 of 96 - 2137 active elements (863 deactivated)
    16:05:36 INFO    opendrift:2213: 2026-08-16 06:03:48.245564 - step 77 of 96 - 2136 active elements (864 deactivated)
    16:05:38 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.0014191496 to -1.888177e-06) found for ocean_vertical_diffusivity, replacing with NaN
    16:05:38 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:05:38 INFO    opendrift:2213: 2026-08-16 06:33:48.245564 - step 78 of 96 - 2135 active elements (865 deactivated)
    16:05:38 INFO    opendrift:2213: 2026-08-16 07:03:48.245564 - step 79 of 96 - 2135 active elements (865 deactivated)
    16:05:40 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.0055247415 to -0.000698864) found for ocean_vertical_diffusivity, replacing with NaN
    16:05:40 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:05:40 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:40 INFO    opendrift:2213: 2026-08-16 07:33:48.245564 - step 80 of 96 - 2133 active elements (867 deactivated)
    16:05:40 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:40 INFO    opendrift:2213: 2026-08-16 08:03:48.245564 - step 81 of 96 - 2133 active elements (867 deactivated)
    16:05:43 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.010604914 to -0.0011424941) found for ocean_vertical_diffusivity, replacing with NaN
    16:05:43 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:05:43 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:43 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:43 INFO    opendrift:2213: 2026-08-16 08:33:48.245564 - step 82 of 96 - 2132 active elements (868 deactivated)
    16:05:43 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:43 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:43 INFO    opendrift:2213: 2026-08-16 09:03:48.245564 - step 83 of 96 - 2130 active elements (870 deactivated)
    16:05:45 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.01181007 to -0.002612166) found for ocean_vertical_diffusivity, replacing with NaN
    16:05:45 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:05:45 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:45 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:45 INFO    opendrift:2213: 2026-08-16 09:33:48.245564 - step 84 of 96 - 2130 active elements (870 deactivated)
    16:05:45 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:45 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:45 INFO    opendrift:2213: 2026-08-16 10:03:48.245564 - step 85 of 96 - 2130 active elements (870 deactivated)
    16:05:47 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.011251059 to -0.005603612) found for ocean_vertical_diffusivity, replacing with NaN
    16:05:47 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:05:47 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:47 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:47 INFO    opendrift:2213: 2026-08-16 10:33:48.245564 - step 86 of 96 - 2130 active elements (870 deactivated)
    16:05:47 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:47 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:47 INFO    opendrift:2213: 2026-08-16 11:03:48.245564 - step 87 of 96 - 2128 active elements (872 deactivated)
    16:05:49 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.012738294 to -0.0067886906) found for ocean_vertical_diffusivity, replacing with NaN
    16:05:49 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:05:49 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:49 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:50 INFO    opendrift:2213: 2026-08-16 11:33:48.245564 - step 88 of 96 - 2124 active elements (876 deactivated)
    16:05:50 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:50 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:50 INFO    opendrift:2213: 2026-08-16 12:03:48.245564 - step 89 of 96 - 2119 active elements (881 deactivated)
    16:05:52 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.01258359 to -0.0066242404) found for ocean_vertical_diffusivity, replacing with NaN
    16:05:52 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:05:52 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:52 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:52 INFO    opendrift:2213: 2026-08-16 12:33:48.245564 - step 90 of 96 - 2115 active elements (885 deactivated)
    16:05:52 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:52 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:52 INFO    opendrift:2213: 2026-08-16 13:03:48.245564 - step 91 of 96 - 2110 active elements (890 deactivated)
    16:05:54 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.01075974 to -0.0041351407) found for ocean_vertical_diffusivity, replacing with NaN
    16:05:54 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:05:54 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:54 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:54 INFO    opendrift:2213: 2026-08-16 13:33:48.245564 - step 92 of 96 - 2109 active elements (891 deactivated)
    16:05:54 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:54 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:54 INFO    opendrift:2213: 2026-08-16 14:03:48.245564 - step 93 of 96 - 2108 active elements (892 deactivated)
    16:05:57 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.0073594754 to -0.0016222757) found for ocean_vertical_diffusivity, replacing with NaN
    16:05:57 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:05:57 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:57 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:57 INFO    opendrift:2213: 2026-08-16 14:33:48.245564 - step 94 of 96 - 2108 active elements (892 deactivated)
    16:05:57 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:57 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:57 INFO    opendrift:2213: 2026-08-16 15:03:48.245564 - step 95 of 96 - 2106 active elements (894 deactivated)
    16:05:59 WARNING opendrift.readers.basereader.variables:660: Invalid values (-0.0038142796 to -0.00051187567) found for ocean_vertical_diffusivity, replacing with NaN
    16:05:59 WARNING opendrift.readers.basereader.variables:663: (allowed range: [0, 1])
    16:05:59 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:59 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:59 INFO    opendrift:2213: 2026-08-16 15:33:48.245564 - step 96 of 96 - 2106 active elements (894 deactivated)
    16:05:59 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:05:59 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning


.. raw:: html

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    html[theme="dark"],
    html[data-theme="dark"],
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      --xr-border-color: var(
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        hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))
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      --xr-disabled-color: var(
        --jp-layout-color3,
        hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))
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      --xr-background-color: var(
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    .xr-wrap {
      display: block !important;
      min-width: 300px;
      max-width: 700px;
      line-height: 1.6;
      padding-bottom: 4px;
    }

    .xr-text-repr-fallback {
      /* fallback to plain text repr when CSS is not injected (untrusted notebook) */
      display: none;
    }

    .xr-header {
      padding-top: 6px;
      padding-bottom: 6px;
    }

    .xr-header {
      border-bottom: solid 1px var(--xr-border-color);
      margin-bottom: 4px;
    }

    .xr-header > div,
    .xr-header > ul {
      display: inline;
      margin-top: 0;
      margin-bottom: 0;
    }

    .xr-obj-type,
    .xr-obj-name {
      margin-left: 2px;
      margin-right: 10px;
    }

    .xr-obj-type,
    .xr-group-box-contents > label {
      color: var(--xr-font-color2);
      display: block;
    }

    .xr-sections {
      padding-left: 0 !important;
      display: grid;
      grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;
      margin-block-start: 0;
      margin-block-end: 0;
    }

    .xr-section-item {
      display: contents;
    }

    .xr-section-item > input,
    .xr-group-box-contents > input,
    .xr-array-wrap > input {
      display: block;
      opacity: 0;
      height: 0;
      margin: 0;
    }

    .xr-section-item > input + label,
    .xr-var-item > input + label {
      color: var(--xr-disabled-color);
    }

    .xr-section-item > input:enabled + label,
    .xr-var-item > input:enabled + label,
    .xr-array-wrap > input:enabled + label,
    .xr-group-box-contents > input:enabled + label {
      cursor: pointer;
      color: var(--xr-font-color2);
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    .xr-section-item > input:focus-visible + label,
    .xr-var-item > input:focus-visible + label,
    .xr-array-wrap > input:focus-visible + label,
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      padding-left: 0.3em;
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      display: inline-block;
      padding-left: 0.6em;
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      color: var(--xr-font-color2);
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    .xr-section-summary-in + label:before {
      display: inline-block;
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      font-size: 11px;
      width: 15px;
      text-align: center;
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    .xr-section-summary-in:disabled + label:before {
      color: var(--xr-disabled-color);
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    .xr-section-summary-in:checked + label:before {
      content: "▼";
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    .xr-section-summary-in:checked + label > span {
      display: none;
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    .xr-section-summary,
    .xr-section-inline-details,
    .xr-group-box-contents > label {
      padding-top: 4px;
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    .xr-section-inline-details {
      grid-column: 2 / -1;
    }

    .xr-section-details {
      grid-column: 1 / -1;
      margin-top: 4px;
      margin-bottom: 5px;
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      display: none;
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    .xr-section-summary-in:checked ~ .xr-section-details {
      display: contents;
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    .xr-children {
      display: inline-grid;
      grid-template-columns: 100%;
      grid-column: 1 / -1;
      padding-top: 4px;
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    .xr-group-box {
      display: inline-grid;
      grid-template-columns: 0px 30px auto;
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    .xr-group-box-vline {
      grid-column-start: 1;
      border-right: 0.2em solid;
      border-color: var(--xr-border-color);
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      width: 26px;
      border-bottom: 0.2em solid;
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    .xr-group-box-contents {
      grid-column-start: 3;
      padding-bottom: 4px;
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    .xr-group-box-contents > label::before {
      content: "📂";
      padding-right: 0.3em;
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    .xr-group-box-contents > input:checked + label::before {
      content: "📁";
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    .xr-group-box-contents > input:checked + label {
      padding-bottom: 0px;
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      display: none;
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      font-weight: 900;
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    }

    .xr-array-wrap > label {
      grid-column: 1;
      vertical-align: top;
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    .xr-preview {
      color: var(--xr-font-color3);
    }

    .xr-array-preview,
    .xr-array-data {
      padding: 0 5px !important;
      grid-column: 2;
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    .xr-array-in:checked ~ .xr-array-data,
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    .xr-dim-list {
      display: inline-block !important;
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      margin: 0;
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    .xr-dim-list li {
      display: inline-block;
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      margin: 0;
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    .xr-dim-list:before {
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      display: contents;
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    .xr-var-dims {
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    .xr-var-dtype {
      grid-column: 3;
      text-align: right;
      color: var(--xr-font-color2);
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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,
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      white-space: nowrap;
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      text-overflow: ellipsis;
      padding-right: 10px;
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    .xr-var-dtype:hover,
    .xr-attrs dt:hover {
      overflow: visible;
      width: auto;
      z-index: 1;
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    .xr-var-attrs,
    .xr-var-data,
    .xr-index-data {
      display: none;
      border-top: 2px dotted var(--xr-background-color);
      padding-bottom: 20px !important;
      padding-top: 10px !important;
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    .xr-var-attrs-in + label,
    .xr-var-data-in + label,
    .xr-index-data-in + label {
      padding: 0 1px;
    }

    .xr-var-attrs-in:checked ~ .xr-var-attrs,
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    .xr-index-data-in:checked ~ .xr-index-data {
      display: block;
    }

    .xr-var-data > table {
      float: right;
    }

    .xr-var-data > pre,
    .xr-index-data > pre,
    .xr-var-data > table > tbody > tr {
      background-color: transparent !important;
    }

    .xr-var-name span,
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    .xr-attrs,
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    .xr-attrs dt,
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      padding: 0;
      margin: 0;
      float: left;
      padding-right: 10px;
      width: auto;
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    .xr-attrs dt {
      font-weight: normal;
      grid-column: 1;
    }

    .xr-attrs dt:hover span {
      display: inline-block;
      background: var(--xr-background-color);
      padding-right: 10px;
    }

    .xr-attrs dd {
      grid-column: 2;
      white-space: pre-wrap;
      word-break: break-all;
    }

    .xr-icon-database,
    .xr-icon-file-text2,
    .xr-no-icon {
      display: inline-block;
      vertical-align: middle;
      width: 1em;
      height: 1.5em !important;
      stroke-width: 0;
      stroke: currentColor;
      fill: currentColor;
    }

    .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: 26MB
    Dimensions:                                                                              (
                                                                                              trajectory: 3000,
                                                                                              time: 49)
    Coordinates:
      * trajectory                                                                           (trajectory) int64 24kB ...
      * time                                                                                 (time) datetime64[ns] 392B ...
    Data variables: (12/44)
        status                                                                               (trajectory, time) float32 588kB ...
        moving                                                                               (trajectory, time) float32 588kB ...
        age_seconds                                                                          (trajectory, time) float32 588kB ...
        origin_marker                                                                        (trajectory, time) float32 588kB ...
        lon                                                                                  (trajectory, time) float32 588kB ...
        lat                                                                                  (trajectory, time) float32 588kB ...
        ...                                                                                   ...
        sea_water_salinity                                                                   (trajectory, time) float32 588kB ...
        sea_floor_depth_below_sea_level                                                      (trajectory, time) float32 588kB ...
        horizontal_diffusivity                                                               (trajectory, time) float32 588kB ...
        ocean_vertical_diffusivity                                                           (trajectory, time) float32 588kB ...
        land_binary_mask                                                                     (trajectory, time) float32 588kB ...
        ocean_mixed_layer_thickness                                                          (trajectory, time) float32 588kB ...
    Attributes: (12/167)
        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-029eea99-c1e7-4d16-be1f-0b3e2825c949' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-029eea99-c1e7-4d16-be1f-0b3e2825c949' 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>: 3000</li><li><span class='xr-has-index'>time</span>: 49</li></ul></div></li><li class='xr-section-item'><input id='section-f68d62ef-96fc-4952-b1b4-93df363b25a4' class='xr-section-summary-in' type='checkbox' checked /><label for='section-f68d62ef-96fc-4952-b1b4-93df363b25a4' 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 ... 2996 2997 2998 2999</div><input id='attrs-ceed65a0-1bb3-477b-8f4b-bcaff5c88436' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ceed65a0-1bb3-477b-8f4b-bcaff5c88436' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c446021-1d56-457a-9ecb-e2199103e672' class='xr-var-data-in' type='checkbox'><label for='data-6c446021-1d56-457a-9ecb-e2199103e672' 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, ..., 2997, 2998, 2999], shape=(3000,))</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'>2026-08-14T16:03:48.245564 ... 2...</div><input id='attrs-9b3d9744-b87d-45b3-8531-b46eb72c23e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b3d9744-b87d-45b3-8531-b46eb72c23e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-763696dd-065f-4603-9d73-b05abd98dc72' class='xr-var-data-in' type='checkbox'><label for='data-763696dd-065f-4603-9d73-b05abd98dc72' 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;2026-08-14T16:03:48.245564000&#x27;, &#x27;2026-08-14T17:03:48.245564000&#x27;,
           &#x27;2026-08-14T18:03:48.245564000&#x27;, &#x27;2026-08-14T19:03:48.245564000&#x27;,
           &#x27;2026-08-14T20:03:48.245564000&#x27;, &#x27;2026-08-14T21:03:48.245564000&#x27;,
           &#x27;2026-08-14T22:03:48.245564000&#x27;, &#x27;2026-08-14T23:03:48.245564000&#x27;,
           &#x27;2026-08-15T00:03:48.245564000&#x27;, &#x27;2026-08-15T01:03:48.245564000&#x27;,
           &#x27;2026-08-15T02:03:48.245564000&#x27;, &#x27;2026-08-15T03:03:48.245564000&#x27;,
           &#x27;2026-08-15T04:03:48.245564000&#x27;, &#x27;2026-08-15T05:03:48.245564000&#x27;,
           &#x27;2026-08-15T06:03:48.245564000&#x27;, &#x27;2026-08-15T07:03:48.245564000&#x27;,
           &#x27;2026-08-15T08:03:48.245564000&#x27;, &#x27;2026-08-15T09:03:48.245564000&#x27;,
           &#x27;2026-08-15T10:03:48.245564000&#x27;, &#x27;2026-08-15T11:03:48.245564000&#x27;,
           &#x27;2026-08-15T12:03:48.245564000&#x27;, &#x27;2026-08-15T13:03:48.245564000&#x27;,
           &#x27;2026-08-15T14:03:48.245564000&#x27;, &#x27;2026-08-15T15:03:48.245564000&#x27;,
           &#x27;2026-08-15T16:03:48.245564000&#x27;, &#x27;2026-08-15T17:03:48.245564000&#x27;,
           &#x27;2026-08-15T18:03:48.245564000&#x27;, &#x27;2026-08-15T19:03:48.245564000&#x27;,
           &#x27;2026-08-15T20:03:48.245564000&#x27;, &#x27;2026-08-15T21:03:48.245564000&#x27;,
           &#x27;2026-08-15T22:03:48.245564000&#x27;, &#x27;2026-08-15T23:03:48.245564000&#x27;,
           &#x27;2026-08-16T00:03:48.245564000&#x27;, &#x27;2026-08-16T01:03:48.245564000&#x27;,
           &#x27;2026-08-16T02:03:48.245564000&#x27;, &#x27;2026-08-16T03:03:48.245564000&#x27;,
           &#x27;2026-08-16T04:03:48.245564000&#x27;, &#x27;2026-08-16T05:03:48.245564000&#x27;,
           &#x27;2026-08-16T06:03:48.245564000&#x27;, &#x27;2026-08-16T07:03:48.245564000&#x27;,
           &#x27;2026-08-16T08:03:48.245564000&#x27;, &#x27;2026-08-16T09:03:48.245564000&#x27;,
           &#x27;2026-08-16T10:03:48.245564000&#x27;, &#x27;2026-08-16T11:03:48.245564000&#x27;,
           &#x27;2026-08-16T12:03:48.245564000&#x27;, &#x27;2026-08-16T13:03:48.245564000&#x27;,
           &#x27;2026-08-16T14:03:48.245564000&#x27;, &#x27;2026-08-16T15:03:48.245564000&#x27;,
           &#x27;2026-08-16T16:03:48.245564000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c9405696-f10d-4d42-b6e5-6cf046b58941' class='xr-section-summary-in' type='checkbox' /><label for='section-c9405696-f10d-4d42-b6e5-6cf046b58941' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(44)</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-8c7fc6b1-6465-40a4-8f37-a85e9512f9ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c7fc6b1-6465-40a4-8f37-a85e9512f9ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-955f8c74-aa84-4e38-a401-7482e99f0853' class='xr-var-data-in' type='checkbox'><label for='data-955f8c74-aa84-4e38-a401-7482e99f0853' 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 stranded</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.,  1., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  1., ..., nan, nan, nan]],
          shape=(3000, 49), 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-743d4ea1-0885-4358-8e63-d0f14f8726ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-743d4ea1-0885-4358-8e63-d0f14f8726ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e49b0ed4-e196-44a4-97f8-b0e74ef53282' class='xr-var-data-in' type='checkbox'><label for='data-e49b0ed4-e196-44a4-97f8-b0e74ef53282' 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.,  1.,  0., ..., nan, nan, nan],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  0., ..., nan, nan, nan]],
          shape=(3000, 49), 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-233cc49b-5ceb-4adb-badf-abdc9ce9d351' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-233cc49b-5ceb-4adb-badf-abdc9ce9d351' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3e91d55-c8c5-491d-84ae-b493cf1a113c' class='xr-var-data-in' type='checkbox'><label for='data-b3e91d55-c8c5-491d-84ae-b493cf1a113c' 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>172800.0</dd></dl></div><div class='xr-var-data'><pre>array([[     0.,   3600.,   7200., ..., 165600., 169200., 172800.],
           [     0.,   3600.,   7200., ..., 165600., 169200., 172800.],
           [     0.,   3600.,   7200., ..., 165600., 169200., 172800.],
           ...,
           [     0.,   3600.,   5400., ...,     nan,     nan,     nan],
           [     0.,   3600.,   7200., ..., 165600., 169200., 172800.],
           [     0.,   3600.,   7200., ...,     nan,     nan,     nan]],
          shape=(3000, 49), 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-896e7a58-fde2-4c28-b725-82def98969dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-896e7a58-fde2-4c28-b725-82def98969dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ae69388-c6be-485a-a131-c8cc0caa20b0' class='xr-var-data-in' type='checkbox'><label for='data-9ae69388-c6be-485a-a131-c8cc0caa20b0' 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.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(3000, 49), 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'>19.2 19.17 19.11 ... nan nan nan</div><input id='attrs-6f98ce25-d6d6-440b-bae6-9faa0aea6810' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f98ce25-d6d6-440b-bae6-9faa0aea6810' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-808a46ff-09c9-4465-83ac-97868cd7ff51' class='xr-var-data-in' type='checkbox'><label for='data-808a46ff-09c9-4465-83ac-97868cd7ff51' 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>18.786148</dd><dt><span>maxval :</span></dt><dd>19.544472</dd></dl></div><div class='xr-var-data'><pre>array([[19.195274, 19.168375, 19.10825 , ..., 19.076504, 19.098   ,
            19.133093],
           [19.191893, 19.163063, 19.131212, ..., 19.208563, 19.223236,
            19.22665 ],
           [19.193327, 19.186296, 19.140436, ..., 19.213745, 19.231514,
            19.240175],
           ...,
           [19.190422, 19.188457, 19.188457, ...,       nan,       nan,
                  nan],
           [19.187893, 19.144133, 19.142477, ..., 19.260387, 19.263884,
            19.292648],
           [19.1907  , 19.181547, 19.173668, ...,       nan,       nan,
                  nan]], shape=(3000, 49), 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'>79.6 79.59 79.57 ... nan nan nan</div><input id='attrs-222b27b6-f4fd-4201-81ee-0d6b0486f586' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-222b27b6-f4fd-4201-81ee-0d6b0486f586' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72889f6f-d7f4-4ef1-af16-12704a13fb8e' class='xr-var-data-in' type='checkbox'><label for='data-72889f6f-d7f4-4ef1-af16-12704a13fb8e' 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>79.317955</dd><dt><span>maxval :</span></dt><dd>79.6003</dd></dl></div><div class='xr-var-data'><pre>array([[79.59931 , 79.58544 , 79.568695, ..., 79.42479 , 79.42155 ,
            79.40742 ],
           [79.598854, 79.582726, 79.57046 , ..., 79.42138 , 79.41626 ,
            79.40807 ],
           [79.59855 , 79.58445 , 79.570015, ..., 79.44427 , 79.44023 ,
            79.42948 ],
           ...,
           [79.59836 , 79.5811  , 79.57409 , ...,       nan,       nan,
                  nan],
           [79.59878 , 79.58477 , 79.57412 , ..., 79.44087 , 79.43558 ,
            79.42141 ],
           [79.59873 , 79.582924, 79.57557 , ...,       nan,       nan,
                  nan]], shape=(3000, 49), 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-5bb044ff-14a7-44b5-a0c2-a22befcea372' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5bb044ff-14a7-44b5-a0c2-a22befcea372' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1334925c-367d-4232-a6a7-4090976bd0fa' class='xr-var-data-in' type='checkbox'><label for='data-1334925c-367d-4232-a6a7-4090976bd0fa' 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>-1.2114879</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.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(3000, 49), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_drift_factor</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.03 0.03 0.03 0.03 ... nan nan nan</div><input id='attrs-6485337d-b1e9-4b71-adab-9bfa72913036' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6485337d-b1e9-4b71-adab-9bfa72913036' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12b1307a-e5c6-4bb9-9bc2-10c87cf0b620' class='xr-var-data-in' type='checkbox'><label for='data-12b1307a-e5c6-4bb9-9bc2-10c87cf0b620' 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>%</dd><dt><span>description :</span></dt><dd>Elements at the ocean surface are moved by this fraction of the wind vector, in addition to currents and Stokes drift</dd><dt><span>minval :</span></dt><dd>0.03</dd><dt><span>maxval :</span></dt><dd>0.03</dd></dl></div><div class='xr-var-data'><pre>array([[0.03, 0.03, 0.03, ..., 0.03, 0.03, 0.03],
           [0.03, 0.03, 0.03, ..., 0.03, 0.03, 0.03],
           [0.03, 0.03, 0.03, ..., 0.03, 0.03, 0.03],
           ...,
           [0.03, 0.03, 0.03, ...,  nan,  nan,  nan],
           [0.03, 0.03, 0.03, ..., 0.03, 0.03, 0.03],
           [0.03, 0.03, 0.03, ...,  nan,  nan,  nan]],
          shape=(3000, 49), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>current_drift_factor</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-c107f834-8b6f-4618-8222-3bd8438ab96a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c107f834-8b6f-4618-8222-3bd8438ab96a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b123a37-c9e2-4af9-bb19-34b1376f482c' class='xr-var-data-in' type='checkbox'><label for='data-4b123a37-c9e2-4af9-bb19-34b1376f482c' 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>description :</span></dt><dd>Elements are moved with this fraction of the current vector, in addition to currents and Stokes drift</dd><dt><span>minval :</span></dt><dd>1.0</dd><dt><span>maxval :</span></dt><dd>1.0</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.,  1.,  1., ..., nan, nan, nan],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ..., nan, nan, nan]],
          shape=(3000, 49), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>terminal_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'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-8c0583e2-91df-48c6-b2c1-658dbea7cd5b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c0583e2-91df-48c6-b2c1-658dbea7cd5b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe6de8f2-b0cc-40ef-a7d4-9b050ad574ee' class='xr-var-data-in' type='checkbox'><label for='data-fe6de8f2-b0cc-40ef-a7d4-9b050ad574ee' 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/s</dd><dt><span>description :</span></dt><dd>Terminal rise/sinking velocity (buoyancy) in the ocean column</dd><dt><span>minval :</span></dt><dd>0.0</dd><dt><span>maxval :</span></dt><dd>0.05002642</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.        , ..., 0.01759495, 0.01759703,
            0.01759803],
           ...,
           [0.        , 0.        , 0.        , ...,        nan,        nan,
                   nan],
           [0.        , 0.        , 0.        , ..., 0.        , 0.        ,
            0.        ],
           [0.        , 0.        , 0.        , ...,        nan,        nan,
                   nan]], shape=(3000, 49), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mass_oil</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.3294 0.3294 0.3294 ... nan nan</div><input id='attrs-91f74c82-e7c0-4b97-b614-243fd9a358de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-91f74c82-e7c0-4b97-b614-243fd9a358de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f257b0fa-5100-46c0-b581-067c60c52056' class='xr-var-data-in' type='checkbox'><label for='data-f257b0fa-5100-46c0-b581-067c60c52056' 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>kg</dd><dt><span>minval :</span></dt><dd>0.32936665</dd><dt><span>maxval :</span></dt><dd>0.32936665</dd></dl></div><div class='xr-var-data'><pre>array([[0.32936665, 0.32936665, 0.32936665, ..., 0.32936665, 0.32936665,
            0.32936665],
           [0.32936665, 0.32936665, 0.32936665, ..., 0.32936665, 0.32936665,
            0.32936665],
           [0.32936665, 0.32936665, 0.32936665, ..., 0.32936665, 0.32936665,
            0.32936665],
           ...,
           [0.32936665, 0.32936665, 0.32936665, ...,        nan,        nan,
                   nan],
           [0.32936665, 0.32936665, 0.32936665, ..., 0.32936665, 0.32936665,
            0.32936665],
           [0.32936665, 0.32936665, 0.32936665, ...,        nan,        nan,
                   nan]], shape=(3000, 49), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>viscosity</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.02169 0.08777 0.08837 ... nan nan</div><input id='attrs-019d803b-193f-4a54-ab5e-f2d062fb354e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-019d803b-193f-4a54-ab5e-f2d062fb354e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff9ecf79-4507-4604-b70f-431df4ecadaf' class='xr-var-data-in' type='checkbox'><label for='data-ff9ecf79-4507-4604-b70f-431df4ecadaf' 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>m2/s</dd><dt><span>description :</span></dt><dd>Kinematic viscosity of oil (emulsion)</dd><dt><span>minval :</span></dt><dd>0.021692334</dd><dt><span>maxval :</span></dt><dd>0.088838965</dd></dl></div><div class='xr-var-data'><pre>array([[0.02169233, 0.08777297, 0.08836901, ..., 0.07906198, 0.07902723,
            0.07886942],
           [0.02169233, 0.08823838, 0.08814853, ..., 0.07847778, 0.07856023,
            0.0784894 ],
           [0.02169233, 0.087954  , 0.08822361, ..., 0.07842371, 0.07840303,
            0.07839324],
           ...,
           [0.02169233, 0.08794541, 0.0878281 , ...,        nan,        nan,
                   nan],
           [0.02169233, 0.08824864, 0.0883164 , ..., 0.07839289, 0.07820927,
            0.07807266],
           [0.02169233, 0.08791637, 0.08790288, ...,        nan,        nan,
                   nan]], shape=(3000, 49), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>density</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>988.1 994.4 994.5 ... nan nan nan</div><input id='attrs-91689b95-e462-47f1-89db-d10ff764faed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-91689b95-e462-47f1-89db-d10ff764faed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b5055b1-6708-47f3-a5b1-a829233ffb4c' class='xr-var-data-in' type='checkbox'><label for='data-6b5055b1-6708-47f3-a5b1-a829233ffb4c' 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>kg/m^3</dd><dt><span>minval :</span></dt><dd>988.1</dd><dt><span>maxval :</span></dt><dd>994.47833</dd></dl></div><div class='xr-var-data'><pre>array([[988.1    , 994.42554, 994.45514, ..., 993.96716, 993.9652 ,
            993.9564 ],
           [988.1    , 994.44867, 994.4442 , ..., 993.9346 , 993.93915,
            993.9352 ],
           [988.1    , 994.4346 , 994.44794, ..., 993.9315 , 993.93036,
            993.9298 ],
           ...,
           [988.1    , 994.43414, 994.4283 , ...,       nan,       nan,
                  nan],
           [988.1    , 994.4492 , 994.4526 , ..., 993.9298 , 993.9195 ,
            993.9118 ],
           [988.1    , 994.4327 , 994.432  , ...,       nan,       nan,
                  nan]], shape=(3000, 49), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bulltime</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-473de301-c924-44c8-a35f-0b3858616c0a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-473de301-c924-44c8-a35f-0b3858616c0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8cb2886b-0ca3-4d2f-b299-620f88e82412' class='xr-var-data-in' type='checkbox'><label for='data-8cb2886b-0ca3-4d2f-b299-620f88e82412' 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>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.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(3000, 49), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>interfacial_area</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-a07675a6-e733-40aa-9273-b0b68f0526c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a07675a6-e733-40aa-9273-b0b68f0526c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a46ac647-6cd2-424b-95e6-af3381f8d01e' class='xr-var-data-in' type='checkbox'><label for='data-a46ac647-6cd2-424b-95e6-af3381f8d01e' 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>m2</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.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(3000, 49), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mass_dispersed</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-c152773a-0dda-4698-8eaf-056dda046978' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c152773a-0dda-4698-8eaf-056dda046978' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b870030-e1c8-4588-83c2-146b23d2f7e9' class='xr-var-data-in' type='checkbox'><label for='data-7b870030-e1c8-4588-83c2-146b23d2f7e9' 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>kg</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.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(3000, 49), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mass_evaporated</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-1f4236f9-ffeb-4371-b7f8-36c52e5f9985' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f4236f9-ffeb-4371-b7f8-36c52e5f9985' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23522e26-2441-48b3-8c81-baf2cb119c4f' class='xr-var-data-in' type='checkbox'><label for='data-23522e26-2441-48b3-8c81-baf2cb119c4f' 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>kg</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.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(3000, 49), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mass_biodegraded</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-6ff5609e-37f9-4ecf-b590-77758e167837' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ff5609e-37f9-4ecf-b590-77758e167837' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be1aa155-945c-4855-8c47-310826321715' class='xr-var-data-in' type='checkbox'><label for='data-be1aa155-945c-4855-8c47-310826321715' 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>kg</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.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(3000, 49), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>biodegradation_half_time_droplet</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-79cbe3e6-9ce1-41f3-b2e0-a1a96d41289c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79cbe3e6-9ce1-41f3-b2e0-a1a96d41289c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2aaac676-45c6-4665-a8d0-d10cd02decf0' class='xr-var-data-in' type='checkbox'><label for='data-2aaac676-45c6-4665-a8d0-d10cd02decf0' 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>Days</dd><dt><span>description :</span></dt><dd>Biodegradation half time in days for submerged oil droplets</dd><dt><span>minval :</span></dt><dd>1.0</dd><dt><span>maxval :</span></dt><dd>1.0</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.,  1.,  1., ..., nan, nan, nan],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ..., nan, nan, nan]],
          shape=(3000, 49), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>biodegradation_half_time_slick</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>3.0 3.0 3.0 3.0 ... nan nan nan nan</div><input id='attrs-cd9e4864-b82d-4ef5-a59f-1c9509846989' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd9e4864-b82d-4ef5-a59f-1c9509846989' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83cc610c-663f-4c64-9935-aaeb64ae9540' class='xr-var-data-in' type='checkbox'><label for='data-83cc610c-663f-4c64-9935-aaeb64ae9540' 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>Days</dd><dt><span>description :</span></dt><dd>Biodegradation half time in days for surface oil slick</dd><dt><span>minval :</span></dt><dd>3.0</dd><dt><span>maxval :</span></dt><dd>3.0</dd></dl></div><div class='xr-var-data'><pre>array([[ 3.,  3.,  3., ...,  3.,  3.,  3.],
           [ 3.,  3.,  3., ...,  3.,  3.,  3.],
           [ 3.,  3.,  3., ...,  3.,  3.,  3.],
           ...,
           [ 3.,  3.,  3., ..., nan, nan, nan],
           [ 3.,  3.,  3., ...,  3.,  3.,  3.],
           [ 3.,  3.,  3., ..., nan, nan, nan]],
          shape=(3000, 49), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fraction_evaporated</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-b06c5a6c-58f3-4af2-ade2-c14e85adf73a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b06c5a6c-58f3-4af2-ade2-c14e85adf73a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2758286-1092-4f2f-824f-f0ece9cac69b' class='xr-var-data-in' type='checkbox'><label for='data-d2758286-1092-4f2f-824f-f0ece9cac69b' 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>%</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.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(3000, 49), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_fraction</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-5605eb93-6b41-4d96-9046-d18895c563bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5605eb93-6b41-4d96-9046-d18895c563bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb6ef59d-86af-4e74-ae52-0b9981a0d1de' class='xr-var-data-in' type='checkbox'><label for='data-bb6ef59d-86af-4e74-ae52-0b9981a0d1de' 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>%</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.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(3000, 49), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>oil_film_thickness</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.001 0.001 0.001 ... nan nan nan</div><input id='attrs-5bdd5d18-86ad-4eee-b5cc-89c610ec5ea3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5bdd5d18-86ad-4eee-b5cc-89c610ec5ea3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0568b9df-165f-4e00-8c84-0f1dfb4f0f91' class='xr-var-data-in' type='checkbox'><label for='data-0568b9df-165f-4e00-8c84-0f1dfb4f0f91' 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>minval :</span></dt><dd>0.001</dd><dt><span>maxval :</span></dt><dd>0.001</dd></dl></div><div class='xr-var-data'><pre>array([[0.001, 0.001, 0.001, ..., 0.001, 0.001, 0.001],
           [0.001, 0.001, 0.001, ..., 0.001, 0.001, 0.001],
           [0.001, 0.001, 0.001, ..., 0.001, 0.001, 0.001],
           ...,
           [0.001, 0.001, 0.001, ...,   nan,   nan,   nan],
           [0.001, 0.001, 0.001, ..., 0.001, 0.001, 0.001],
           [0.001, 0.001, 0.001, ...,   nan,   nan,   nan]],
          shape=(3000, 49), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>diameter</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-c51afcfe-3ebd-406d-8b8f-3afa5901df4e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c51afcfe-3ebd-406d-8b8f-3afa5901df4e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d21110a1-c2bb-47b6-96eb-f8bd64c37231' class='xr-var-data-in' type='checkbox'><label for='data-d21110a1-c2bb-47b6-96eb-f8bd64c37231' 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>minval :</span></dt><dd>0.0</dd><dt><span>maxval :</span></dt><dd>0.0029824018</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.        , ..., 0.00129619, 0.00129619,
            0.00129619],
           ...,
           [0.        , 0.        , 0.        , ...,        nan,        nan,
                   nan],
           [0.        , 0.        , 0.        , ..., 0.        , 0.        ,
            0.        ],
           [0.        , 0.        , 0.        , ...,        nan,        nan,
                   nan]], shape=(3000, 49), 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'>0.102 -0.1883 -0.2089 ... nan nan</div><input id='attrs-637902b7-e071-4b69-911c-c8a773cac60b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-637902b7-e071-4b69-911c-c8a773cac60b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ee33f25-a6cd-4bf4-9ed5-0815eb60a5b3' class='xr-var-data-in' type='checkbox'><label for='data-5ee33f25-a6cd-4bf4-9ed5-0815eb60a5b3' 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>-0.4886453</dd><dt><span>maxval :</span></dt><dd>0.4287541</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.10204864, -0.18825728, -0.20894702, ...,  0.05783335,
             0.13793014,  0.09717657],
           [-0.04696615, -0.03694708, -0.23128992, ...,  0.1158068 ,
             0.06700844,  0.11083977],
           [ 0.00400793, -0.11390537, -0.08967695, ..., -0.02363154,
             0.11757831,  0.05318553],
           ...,
           [-0.04268853, -0.08313461, -0.16887963, ...,         nan,
                    nan,         nan],
           [-0.05511948, -0.02442876, -0.25820884, ...,  0.07320269,
             0.22108264,  0.1461533 ],
           [ 0.03297301, -0.0844833 , -0.29000387, ...,         nan,
                    nan,         nan]], shape=(3000, 49), 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'>-0.296 -0.3917 -0.266 ... nan nan</div><input id='attrs-3ffdb1ad-a970-413a-b70f-04013ef4c074' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ffdb1ad-a970-413a-b70f-04013ef4c074' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3a285e1-2b0f-4dd1-9dc5-880ef447b064' class='xr-var-data-in' type='checkbox'><label for='data-b3a285e1-2b0f-4dd1-9dc5-880ef447b064' 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>-0.7892376</dd><dt><span>maxval :</span></dt><dd>0.7068436</dd></dl></div><div class='xr-var-data'><pre>array([[-0.29596388, -0.39167422, -0.266014  , ..., -0.0130945 ,
            -0.2879651 , -0.35411775],
           [-0.34572977, -0.2928505 , -0.21522087, ...,  0.08432703,
            -0.07474448, -0.26920682],
           [-0.37218982, -0.33941093, -0.19919752, ...,  0.09592177,
            -0.22863613, -0.16239777],
           ...,
           [-0.46879417, -0.31428182, -0.26558638, ...,         nan,
                    nan,         nan],
           [-0.36995783, -0.301512  , -0.16964844, ..., -0.0078563 ,
            -0.20528148, -0.2357416 ],
           [-0.35703126, -0.30691838, -0.20092143, ...,         nan,
                    nan,         nan]], shape=(3000, 49), 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'>-1.825 -1.445 -1.577 ... nan nan</div><input id='attrs-45eabdbd-0b75-4c52-8fbc-8bf2ddfbae78' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45eabdbd-0b75-4c52-8fbc-8bf2ddfbae78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29157b4c-1609-4df5-b3f5-a4815358a804' class='xr-var-data-in' type='checkbox'><label for='data-29157b4c-1609-4df5-b3f5-a4815358a804' 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>-5.7614007</dd><dt><span>maxval :</span></dt><dd>5.1783457</dd></dl></div><div class='xr-var-data'><pre>array([[-1.8246517 , -1.4447566 , -1.5772446 , ..., -0.36614186,
             0.32403305,  0.7533513 ],
           [-2.0934055 , -1.6507827 , -0.411294  , ..., -0.5868817 ,
            -0.02602057, -0.22595567],
           [-2.9038408 , -2.7278256 , -1.1306338 , ...,  1.3813757 ,
             0.9265872 , -0.6715456 ],
           ...,
           [-1.9400802 , -1.5851233 , -2.5242915 , ...,         nan,
                    nan,         nan],
           [-2.591052  , -1.806719  , -0.9299746 , ...,  0.00908961,
             1.0174993 ,  0.95880276],
           [-2.4055905 , -3.0437489 , -1.7423038 , ...,         nan,
                    nan,         nan]], shape=(3000, 49), 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'>-1.045 -3.609 -3.636 ... nan nan</div><input id='attrs-d15a5580-24bc-4107-843f-208466ddb0d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d15a5580-24bc-4107-843f-208466ddb0d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c65cacee-9869-4198-b077-579624a3e86a' class='xr-var-data-in' type='checkbox'><label for='data-c65cacee-9869-4198-b077-579624a3e86a' 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>-8.405225</dd><dt><span>maxval :</span></dt><dd>5.03496</dd></dl></div><div class='xr-var-data'><pre>array([[-1.0454241, -3.608995 , -3.635736 , ..., -4.629351 , -4.5448737,
            -4.202528 ],
           [-1.9864959, -2.116445 , -4.886837 , ..., -4.9404936, -4.2959657,
            -3.6990786],
           [-2.487824 , -2.6863577, -3.1794987, ..., -4.649511 , -4.1799893,
            -4.459065 ],
           ...,
           [-2.2918437, -3.1448286, -3.8059285, ...,        nan,        nan,
                   nan],
           [-2.3445873, -3.1458175, -3.5598567, ..., -5.2919607, -4.3786187,
            -4.2222733],
           [-2.2512655, -2.096483 , -3.666944 , ...,        nan,        nan,
                   nan]], shape=(3000, 49), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_surface_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'>-0.1822 -0.1253 -0.278 ... nan nan</div><input id='attrs-4a26e968-5f10-4241-b1cc-05f91796fddb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a26e968-5f10-4241-b1cc-05f91796fddb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5596a3a2-0319-4cbf-9af0-52b136ccd84a' class='xr-var-data-in' type='checkbox'><label for='data-5596a3a2-0319-4cbf-9af0-52b136ccd84a' 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>-1.0328451</dd><dt><span>maxval :</span></dt><dd>0.1174889</dd></dl></div><div class='xr-var-data'><pre>array([[-0.18224144, -0.1252989 , -0.27800086, ..., -0.90061665,
            -0.69340205, -0.53907216],
           [-0.18208772, -0.12462601, -0.27854788, ..., -0.90118337,
            -0.70156616, -0.54723364],
           [-0.18220864, -0.12591724, -0.27826846, ..., -0.8908558 ,
            -0.69228315, -0.54277015],
           ...,
           [-0.18205458, -0.12548016, -0.1962517 , ...,         nan,
                    nan,         nan],
           [-0.18185362, -0.12410239, -0.28007072, ..., -0.8930167 ,
            -0.6957691 , -0.5474086 ],
           [-0.18202926, -0.12546809, -0.2793577 , ...,         nan,
                    nan,         nan]], shape=(3000, 49), 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'>0.1088 0.3718 0.3864 ... nan nan</div><input id='attrs-c1ce0fa1-d144-4a97-9daf-d3d83ed7e19d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c1ce0fa1-d144-4a97-9daf-d3d83ed7e19d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16d620f4-a409-4f5e-8b61-e2373fd26d4f' class='xr-var-data-in' type='checkbox'><label for='data-16d620f4-a409-4f5e-8b61-e2373fd26d4f' 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>4.822571e-06</dd><dt><span>maxval :</span></dt><dd>2.0126858</dd></dl></div><div class='xr-var-data'><pre>array([[0.10878773, 0.37175927, 0.38637438, ..., 0.5304978 , 0.5107175 ,
            0.44842795],
           [0.2048814 , 0.1772288 , 0.59163827, ..., 0.6089216 , 0.45401752,
            0.33786222],
           [0.3596903 , 0.36057574, 0.28013358, ..., 0.5787432 , 0.45093948,
            0.5002222 ],
           ...,
           [0.22180487, 0.30510303, 0.5130856 , ...,        nan,        nan,
                   nan],
           [0.30038172, 0.32374588, 0.33302087, ..., 0.6889212 , 0.49710718,
            0.46117365],
           [0.26703456, 0.33602732, 0.40545967, ...,        nan,        nan,
                   nan]], shape=(3000, 49), 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'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-62a8b1ee-1b16-48c9-a7ae-6cd291caa327' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62a8b1ee-1b16-48c9-a7ae-6cd291caa327' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14d425a5-ddb6-4b17-9c1a-e07a1eb640de' class='xr-var-data-in' type='checkbox'><label for='data-14d425a5-ddb6-4b17-9c1a-e07a1eb640de' 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.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(3000, 49), 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'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-2ef0c6f1-1543-4b80-b61a-a969025f97b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ef0c6f1-1543-4b80-b61a-a969025f97b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e9cf142-ffeb-4de6-96db-2c182e534aa3' class='xr-var-data-in' type='checkbox'><label for='data-7e9cf142-ffeb-4de6-96db-2c182e534aa3' 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.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(3000, 49), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_surface_wave_period_at_variance_spectral_density_maximum</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-1efb58fa-d063-4662-9c9f-bab174e3c446' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1efb58fa-d063-4662-9c9f-bab174e3c446' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d823275-19ff-4cca-8a34-8141a0e0df33' class='xr-var-data-in' type='checkbox'><label for='data-9d823275-19ff-4cca-8a34-8141a0e0df33' 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.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(3000, 49), 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'>1.797 3.322 3.386 ... nan nan nan</div><input id='attrs-88388f32-9ea9-465c-a33b-4891afe33c91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88388f32-9ea9-465c-a33b-4891afe33c91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64ad2c20-4d5c-4d34-8b55-25cbc0efbc32' class='xr-var-data-in' type='checkbox'><label for='data-64ad2c20-4d5c-4d34-8b55-25cbc0efbc32' 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>0.011963794</dd><dt><span>maxval :</span></dt><dd>7.728898</dd></dl></div><div class='xr-var-data'><pre>array([[1.7968819, 3.3217006, 3.3863647, ..., 3.9679973, 3.8933187,
            3.6481771],
           [2.4659305, 2.2934895, 4.1904216, ..., 4.251188 , 3.6708436,
            3.1666453],
           [3.2673373, 3.2713563, 2.8834486, ..., 4.1445036, 3.658379 ,
            3.8531067],
           ...,
           [2.5657547, 3.0092127, 3.9023347, ...,       nan,       nan,
                  nan],
           [2.9858384, 3.0997858, 3.1438751, ..., 4.5218315, 3.8410912,
            3.69966  ],
           [2.8152263, 3.1580346, 3.468993 , ...,       nan,       nan,
                  nan]], shape=(3000, 49), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_ice_area_fraction</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-9839ddca-09df-42ba-aae0-dabd23fd903a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9839ddca-09df-42ba-aae0-dabd23fd903a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4ec705e-8e16-4bb9-8e48-3db09e0df953' class='xr-var-data-in' type='checkbox'><label for='data-e4ec705e-8e16-4bb9-8e48-3db09e0df953' 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.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(3000, 49), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_ice_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'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-0b9bbd82-b9b3-498e-be2c-9b73c309ee08' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b9bbd82-b9b3-498e-be2c-9b73c309ee08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36296765-e4e4-4d41-907f-384107fd1a64' class='xr-var-data-in' type='checkbox'><label for='data-36296765-e4e4-4d41-907f-384107fd1a64' 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.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(3000, 49), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_ice_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'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-ac6361f3-4c5c-4be0-b24c-99b09a3e34b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac6361f3-4c5c-4be0-b24c-99b09a3e34b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e03ac375-2409-408c-888a-46d1fb8430e6' class='xr-var-data-in' type='checkbox'><label for='data-e03ac375-2409-408c-888a-46d1fb8430e6' 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.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(3000, 49), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_water_temperature</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.345 2.335 2.326 ... nan nan nan</div><input id='attrs-0c4513d9-6fca-4bac-a008-0af1d09e8d4f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c4513d9-6fca-4bac-a008-0af1d09e8d4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9db9f3de-7534-4665-8bc0-13f6a9fb4ef9' class='xr-var-data-in' type='checkbox'><label for='data-9db9f3de-7534-4665-8bc0-13f6a9fb4ef9' 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>2.2833917</dd><dt><span>maxval :</span></dt><dd>276.4285</dd></dl></div><div class='xr-var-data'><pre>array([[  2.3448668,   2.3346808,   2.3263729, ...,   3.0463555,
              3.0642414, 276.21533  ],
           [  2.341013 ,   2.3301919,   2.333827 , ...,   3.0949328,
              3.0898287, 276.2472   ],
           [  2.3425457,   2.354536 ,   2.3400378, ...,   3.1051664,
              3.111213 , 276.25528  ],
           ...,
           [  2.339287 ,   2.3575492,   2.3694553, ...,         nan,
                    nan,         nan],
           [  2.3365877,   2.3108582,   2.3301792, ...,   3.1139996,
              3.1200995, 276.28232  ],
           [  2.3396711,   2.3497264,   2.3538167, ...,         nan,
                    nan,         nan]], shape=(3000, 49), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_water_salinity</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>33.79 33.79 33.78 ... nan nan nan</div><input id='attrs-c89a95eb-952e-402c-b4d8-d53787fd5522' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c89a95eb-952e-402c-b4d8-d53787fd5522' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f7917ca-bb10-471e-91ac-24452c68bf26' class='xr-var-data-in' type='checkbox'><label for='data-5f7917ca-bb10-471e-91ac-24452c68bf26' 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>33.624535</dd><dt><span>maxval :</span></dt><dd>33.799644</dd></dl></div><div class='xr-var-data'><pre>array([[33.785133, 33.785286, 33.784714, ..., 33.757324, 33.757126,
            33.757694],
           [33.78517 , 33.784416, 33.783154, ..., 33.757603, 33.75901 ,
            33.75834 ],
           [33.78492 , 33.783386, 33.782204, ..., 33.758324, 33.758797,
            33.75957 ],
           ...,
           [33.785046, 33.78177 , 33.778843, ...,       nan,       nan,
                  nan],
           [33.78543 , 33.786552, 33.782997, ..., 33.75589 , 33.75678 ,
            33.755318],
           [33.785202, 33.783104, 33.780643, ...,       nan,       nan,
                  nan]], shape=(3000, 49), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_floor_depth_below_sea_level</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>170.4 154.6 131.2 ... nan nan nan</div><input id='attrs-dd278562-b227-4f62-86e1-4034b45ca28b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd278562-b227-4f62-86e1-4034b45ca28b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f633c9f0-842e-4ad4-8c82-72bcabd4747a' class='xr-var-data-in' type='checkbox'><label for='data-f633c9f0-842e-4ad4-8c82-72bcabd4747a' 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>20.077526</dd><dt><span>maxval :</span></dt><dd>201.94344</dd></dl></div><div class='xr-var-data'><pre>array([[170.42511 , 154.58083 , 131.1948  , ...,  71.69429 ,  74.14926 ,
             74.79625 ],
           [170.9339  , 150.98651 , 133.15869 , ...,  71.02902 ,  70.652115,
             70.2981  ],
           [170.35571 , 150.72702 , 131.64523 , ...,  69.237595,  68.19539 ,
             67.28464 ],
           ...,
           [170.93738 , 145.12909 , 131.57233 , ...,        nan,        nan,
                   nan],
           [171.87785 , 156.73494 , 139.55757 , ...,  65.07406 ,  64.618675,
             62.06973 ],
           [171.14177 , 148.91023 , 134.83304 , ...,        nan,        nan,
                   nan]], shape=(3000, 49), 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'>10.0 10.0 10.0 10.0 ... nan nan nan</div><input id='attrs-b91173c0-f5c9-4387-9dce-0cdd14cd49d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b91173c0-f5c9-4387-9dce-0cdd14cd49d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2c0dd2f-6513-438b-adef-b73640e73b3f' class='xr-var-data-in' type='checkbox'><label for='data-c2c0dd2f-6513-438b-adef-b73640e73b3f' 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>10.0</dd><dt><span>maxval :</span></dt><dd>10.0</dd></dl></div><div class='xr-var-data'><pre>array([[10., 10., 10., ..., 10., 10., 10.],
           [10., 10., 10., ..., 10., 10., 10.],
           [10., 10., 10., ..., 10., 10., 10.],
           ...,
           [10., 10., 10., ..., nan, nan, nan],
           [10., 10., 10., ..., 10., 10., 10.],
           [10., 10., 10., ..., nan, nan, nan]],
          shape=(3000, 49), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_vertical_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'>0.02 0.02 0.02 0.02 ... nan nan nan</div><input id='attrs-c80ec2d7-c812-4667-9961-35e660858e34' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c80ec2d7-c812-4667-9961-35e660858e34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-401a1d8e-aca9-445c-9c71-5ad666317d22' class='xr-var-data-in' type='checkbox'><label for='data-401a1d8e-aca9-445c-9c71-5ad666317d22' 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>4.627975e-05</dd><dt><span>maxval :</span></dt><dd>0.02</dd></dl></div><div class='xr-var-data'><pre>array([[0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           ...,
           [0.02, 0.02, 0.02, ...,  nan,  nan,  nan],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ...,  nan,  nan,  nan]],
          shape=(3000, 49), 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-0bdc7ec3-e00f-47d4-a954-069afb62c17b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0bdc7ec3-e00f-47d4-a954-069afb62c17b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8567bbf-9e1a-405f-9ce0-16dac6d3a884' class='xr-var-data-in' type='checkbox'><label for='data-a8567bbf-9e1a-405f-9ce0-16dac6d3a884' 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.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(3000, 49), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_mixed_layer_thickness</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>50.0 50.0 50.0 50.0 ... nan nan nan</div><input id='attrs-e8f5592f-f924-481c-b4cb-b6ef76bb00b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8f5592f-f924-481c-b4cb-b6ef76bb00b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71fb34a4-27e7-49df-8dff-cfd70e1e2d9e' class='xr-var-data-in' type='checkbox'><label for='data-71fb34a4-27e7-49df-8dff-cfd70e1e2d9e' 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>50.0</dd><dt><span>maxval :</span></dt><dd>50.0</dd></dl></div><div class='xr-var-data'><pre>array([[50., 50., 50., ..., 50., 50., 50.],
           [50., 50., 50., ..., 50., 50., 50.],
           [50., 50., 50., ..., 50., 50., 50.],
           ...,
           [50., 50., 50., ..., nan, nan, nan],
           [50., 50., 50., ..., 50., 50., 50.],
           [50., 50., 50., ..., nan, nan, nan]],
          shape=(3000, 49), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5172f965-0837-45b9-b9de-a40cd6bf3872' class='xr-section-summary-in' type='checkbox' /><label for='section-5172f965-0837-45b9-b9de-a40cd6bf3872' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(167)</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 2026-08-21 16:03:54.660423</dd><dt><span>date_created :</span></dt><dd>2026-08-21T16:03:54.660436</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>OpenOil</dd><dt><span>opendrift_module :</span></dt><dd>opendrift.models.openoil.openoil</dd><dt><span>readers :</span></dt><dd>odict_keys([&#x27;LazyReader: https://thredds.met.no/thredds/dodsC/fou-hi/barents_eps_zdepth_be&#x27;, &#x27;constant_reader&#x27;, &#x27;global_landmask&#x27;])</dd><dt><span>time_coverage_start :</span></dt><dd>2026-08-14 16:03:48.245564</dd><dt><span>time_step_calculation :</span></dt><dd>0:30:00</dd><dt><span>time_step_output :</span></dt><dd>1:00:00</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: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:sea_surface_height :</span></dt><dd>None</dd><dt><span>config_environment:fallback:sea_surface_height :</span></dt><dd>0</dd><dt><span>config_environment:constant:upward_sea_water_velocity :</span></dt><dd>None</dd><dt><span>config_environment:fallback:upward_sea_water_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_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_period_at_variance_spectral_density_maximum :</span></dt><dd>None</dd><dt><span>config_environment:fallback:sea_surface_wave_period_at_variance_spectral_density_maximum :</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_environment:constant:sea_ice_area_fraction :</span></dt><dd>None</dd><dt><span>config_environment:fallback:sea_ice_area_fraction :</span></dt><dd>0</dd><dt><span>config_environment:constant:sea_ice_x_velocity :</span></dt><dd>None</dd><dt><span>config_environment:fallback:sea_ice_x_velocity :</span></dt><dd>0</dd><dt><span>config_environment:constant:sea_ice_y_velocity :</span></dt><dd>None</dd><dt><span>config_environment:fallback:sea_ice_y_velocity :</span></dt><dd>0</dd><dt><span>config_environment:constant:sea_water_temperature :</span></dt><dd>None</dd><dt><span>config_environment:fallback:sea_water_temperature :</span></dt><dd>10</dd><dt><span>config_environment:constant:sea_water_salinity :</span></dt><dd>None</dd><dt><span>config_environment:fallback:sea_water_salinity :</span></dt><dd>34</dd><dt><span>config_environment:constant:sea_floor_depth_below_sea_level :</span></dt><dd>None</dd><dt><span>config_environment:fallback:sea_floor_depth_below_sea_level :</span></dt><dd>10000</dd><dt><span>config_environment:constant:horizontal_diffusivity :</span></dt><dd>10.0</dd><dt><span>config_environment:fallback:horizontal_diffusivity :</span></dt><dd>0</dd><dt><span>config_environment:constant:ocean_vertical_diffusivity :</span></dt><dd>None</dd><dt><span>config_environment:fallback:ocean_vertical_diffusivity :</span></dt><dd>0.02</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:ocean_mixed_layer_thickness :</span></dt><dd>None</dd><dt><span>config_environment:fallback:ocean_mixed_layer_thickness :</span></dt><dd>50</dd><dt><span>config_general:use_auto_landmask :</span></dt><dd>True</dd><dt><span>config_drift:current_uncertainty :</span></dt><dd>0.05</dd><dt><span>config_drift:current_uncertainty_uniform :</span></dt><dd>0</dd><dt><span>config_drift:max_speed :</span></dt><dd>1.3</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>0.5</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:wind_drift_factor :</span></dt><dd>0.03</dd><dt><span>config_seed:current_drift_factor :</span></dt><dd>1</dd><dt><span>config_seed:terminal_velocity :</span></dt><dd>0.0</dd><dt><span>config_seed:oil_film_thickness :</span></dt><dd>0.001</dd><dt><span>config_drift:vertical_advection :</span></dt><dd>False</dd><dt><span>config_drift:vertical_advection_at_surface :</span></dt><dd>False</dd><dt><span>config_drift:water_column_stretching :</span></dt><dd>False</dd><dt><span>config_drift:vertical_advection_correction :</span></dt><dd>False</dd><dt><span>config_drift:vertical_mixing :</span></dt><dd>True</dd><dt><span>config_drift:vertical_mixing_at_surface :</span></dt><dd>False</dd><dt><span>config_vertical_mixing:timestep :</span></dt><dd>60</dd><dt><span>config_vertical_mixing:diffusivitymodel :</span></dt><dd>environment</dd><dt><span>config_vertical_mixing:background_diffusivity :</span></dt><dd>1.2e-05</dd><dt><span>config_vertical_mixing:TSprofiles :</span></dt><dd>False</dd><dt><span>config_drift:wind_drift_depth :</span></dt><dd>0.1</dd><dt><span>config_drift:stokes_drift :</span></dt><dd>True</dd><dt><span>config_drift:stokes_drift_profile :</span></dt><dd>Phillips</dd><dt><span>config_drift:use_tabularised_stokes_drift :</span></dt><dd>False</dd><dt><span>config_drift:tabularised_stokes_drift_fetch :</span></dt><dd>25000</dd><dt><span>config_general:seafloor_action :</span></dt><dd>lift_to_seafloor</dd><dt><span>config_drift:truncate_ocean_model_below_m :</span></dt><dd>3.0</dd><dt><span>config_seed:seafloor :</span></dt><dd>False</dd><dt><span>config_seed:m3_per_hour :</span></dt><dd>1</dd><dt><span>config_seed:droplet_size_distribution :</span></dt><dd>uniform</dd><dt><span>config_seed:droplet_diameter_mu :</span></dt><dd>0.001</dd><dt><span>config_seed:droplet_diameter_sigma :</span></dt><dd>0.0005</dd><dt><span>config_seed:droplet_diameter_min_subsea :</span></dt><dd>0.0005</dd><dt><span>config_seed:droplet_diameter_max_subsea :</span></dt><dd>0.005</dd><dt><span>config_processes:dispersion :</span></dt><dd>False</dd><dt><span>config_processes:evaporation :</span></dt><dd>False</dd><dt><span>config_processes:emulsification :</span></dt><dd>False</dd><dt><span>config_processes:biodegradation :</span></dt><dd>False</dd><dt><span>config_biodegradation:method :</span></dt><dd>Adcroft</dd><dt><span>config_processes:update_oilfilm_thickness :</span></dt><dd>False</dd><dt><span>config_wave_entrainment:droplet_size_distribution :</span></dt><dd>Johansen et al. (2015)</dd><dt><span>config_wave_entrainment:entrainment_rate :</span></dt><dd>Li et al. (2017)</dd><dt><span>config_seed:oil_type :</span></dt><dd>GENERIC BUNKER C</dd><dt><span>opendrift_version :</span></dt><dd>1.14.10</dd><dt><span>seed_lon :</span></dt><dd>19.1909</dd><dt><span>seed_lat :</span></dt><dd>79.5986</dd><dt><span>seed_radius :</span></dt><dd>50.0</dd><dt><span>seed_time :</span></dt><dd>2026-08-14 16:03:48.245564</dd><dt><span>seed_number :</span></dt><dd>3000.0</dd><dt><span>seed_z :</span></dt><dd>0.0</dd><dt><span>seed_m3_per_hour :</span></dt><dd>1.0</dd><dt><span>seed_oiltype :</span></dt><dd>GENERIC BUNKER C</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>2026-08-21 16:03:54.812058</dd><dt><span>reader_x_sea_water_velocity :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/fou-hi/barents_eps_zdepth_be&#x27;]</dd><dt><span>reader_y_sea_water_velocity :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/fou-hi/barents_eps_zdepth_be&#x27;]</dd><dt><span>reader_x_wind :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/fou-hi/barents_eps_zdepth_be&#x27;]</dd><dt><span>reader_y_wind :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/fou-hi/barents_eps_zdepth_be&#x27;]</dd><dt><span>reader_sea_surface_height :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/fou-hi/barents_eps_zdepth_be&#x27;]</dd><dt><span>reader_sea_surface_wave_significant_height :</span></dt><dd>0</dd><dt><span>reader_sea_surface_wave_stokes_drift_x_velocity :</span></dt><dd>0</dd><dt><span>reader_sea_surface_wave_stokes_drift_y_velocity :</span></dt><dd>0</dd><dt><span>reader_sea_surface_wave_period_at_variance_spectral_density_maximum :</span></dt><dd>0</dd><dt><span>reader_sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment :</span></dt><dd>0</dd><dt><span>reader_sea_ice_area_fraction :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/fou-hi/barents_eps_zdepth_be&#x27;]</dd><dt><span>reader_sea_ice_x_velocity :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/fou-hi/barents_eps_zdepth_be&#x27;]</dd><dt><span>reader_sea_ice_y_velocity :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/fou-hi/barents_eps_zdepth_be&#x27;]</dd><dt><span>reader_sea_water_temperature :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/fou-hi/barents_eps_zdepth_be&#x27;]</dd><dt><span>reader_sea_water_salinity :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/fou-hi/barents_eps_zdepth_be&#x27;]</dd><dt><span>reader_sea_floor_depth_below_sea_level :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/fou-hi/barents_eps_zdepth_be&#x27;]</dd><dt><span>reader_horizontal_diffusivity :</span></dt><dd>10.0</dd><dt><span>reader_ocean_vertical_diffusivity :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/fou-hi/barents_eps_zdepth_be&#x27;]</dd><dt><span>reader_land_binary_mask :</span></dt><dd>[&#x27;global_landmask&#x27;]</dd><dt><span>reader_ocean_mixed_layer_thickness :</span></dt><dd>50</dd><dt><span>time_coverage_end :</span></dt><dd>2026-08-16 16:03:48.245564</dd><dt><span>time_coverage_duration :</span></dt><dd>P2DT0H0M0S</dd><dt><span>time_coverage_resolution :</span></dt><dd>P0DT0H30M0S</dd><dt><span>performance :</span></dt><dd>--------------------
    Reader performance:
    --------------------
    constant_reader
     0:00:00.0  total
     0:00:00.0  preparing
     0:00:00.0  reading
     0:00:00.0  masking
    --------------------
    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/fou-hi/barents_eps_zdepth_be
     0:01:51.6  total
     0:00:00.0  preparing
     0:01:50.7  reading
     0:00:01.3  interpolation
     0:00:00.1  interpolation_time
     0:00:00.9  rotating vectors
     0:00:00.0  masking
    --------------------
    Performance:
     2:11.4 total time
        6.6 configuration
        0.1 preparing main loop
          0.0 moving elements to ocean
     2:04.6 main loop
          6.0 updating elements
            0.0 oil weathering
              0.0 updating viscosities
              0.0 updating densities
            5.5 vertical mixing
        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>79.317955</dd><dt><span>geospatial_lat_max :</span></dt><dd>79.6003</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>18.786148</dd><dt><span>geospatial_lon_max :</span></dt><dd>19.544472</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>0:02:11.402801</dd><dt><span>geospatial_vertical_min :</span></dt><dd>-1.2114879</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 36-37

Print and plot results

.. GENERATED FROM PYTHON SOURCE LINES 37-41

.. code-block:: Python

    print(o)
    o.animation(background='sea_ice_area_fraction', cmap=cmocean.cm.ice,
                vmin=0, vmax=1, bgalpha=1, fast=False)





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

 .. code-block:: none

    ===========================
    --------------------
    Reader performance:
    --------------------
    constant_reader
     0:00:00.0  total
     0:00:00.0  preparing
     0:00:00.0  reading
     0:00:00.0  masking
    --------------------
    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/fou-hi/barents_eps_zdepth_be
     0:01:51.6  total
     0:00:00.0  preparing
     0:01:50.7  reading
     0:00:01.3  interpolation
     0:00:00.1  interpolation_time
     0:00:00.9  rotating vectors
     0:00:00.0  masking
    --------------------
    Performance:
     2:11.4 total time
        6.6 configuration
        0.1 preparing main loop
          0.0 moving elements to ocean
     2:04.6 main loop
          6.0 updating elements
            0.0 oil weathering
              0.0 updating viscosities
              0.0 updating densities
            5.5 vertical mixing
        0.0 cleaning up
    --------------------
    ===========================
    Model:  OpenOil     (OpenDrift version 1.14.10)
            2105 active Oil particles  (895 deactivated, 0 scheduled)
    -------------------
    Environment variables:
      -----
      horizontal_diffusivity
         1) constant_reader
      -----
      land_binary_mask
         1) global_landmask
      -----
      ocean_vertical_diffusivity
      sea_floor_depth_below_sea_level
      sea_ice_area_fraction
      sea_ice_x_velocity
      sea_ice_y_velocity
      sea_surface_height
      sea_water_salinity
      sea_water_temperature
      x_sea_water_velocity
      x_wind
      y_sea_water_velocity
      y_wind
         1) https://thredds.met.no/thredds/dodsC/fou-hi/barents_eps_zdepth_be
      -----
    Readers not added for the following variables:
      ocean_mixed_layer_thickness
      sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment
      sea_surface_wave_period_at_variance_spectral_density_maximum
      sea_surface_wave_significant_height
      sea_surface_wave_stokes_drift_x_velocity
      sea_surface_wave_stokes_drift_y_velocity

    Discarded readers:

    Time:
            Start: 2026-08-14 16:03:48.245564 UTC
            Present: 2026-08-16 16:03:48.245564 UTC
            Calculation steps: 96 * 0:30:00 - total time: 2 days, 0:00:00
            Output steps: 49 * 1:00:00
    ===========================

    16:06:10 INFO    opendrift:4799: Saving animation to /root/project/docs/source/gallery/animations/example_oil_ice_0.gif...
    16:06:31 INFO    opendrift:3217: Time to make animation: 0:00:31.517133




.. GENERATED FROM PYTHON SOURCE LINES 42-43

.. image:: /gallery/animations/example_oil_ice_0.gif

.. GENERATED FROM PYTHON SOURCE LINES 43-46

.. code-block:: Python


    o.plot(background='sea_ice_area_fraction', cmap=cmocean.cm.ice,
           vmin=0, vmax=1, bgalpha=1, fast=False)



.. image-sg:: /gallery/images/sphx_glr_example_oil_ice_001.png
   :alt: OpenDrift - OpenOil (GENERIC BUNKER C) 2026-08-14 16:03 to 2026-08-16 16:03 UTC (49 steps)
   :srcset: /gallery/images/sphx_glr_example_oil_ice_001.png
   :class: sphx-glr-single-img


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

 .. code-block:: none


    (<GeoAxes: title={'center': 'OpenDrift - OpenOil (GENERIC BUNKER C)\n2026-08-14 16:03 to 2026-08-16 16:03 UTC (49 steps)'}>, <Figure size 478.887x1100 with 2 Axes>)




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

   **Total running time of the script:** (3 minutes 2.690 seconds)


.. _sphx_glr_download_gallery_example_oil_ice.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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