.. 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

    16:15:10 INFO    opendrift:576: OpenDriftSimulation initialised (version 1.14.6 / v1.14.6-23-g72ef044)




.. 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('drift: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

    16:15:10 INFO    opendrift.models.openoil.openoil:1708: Oil type not specified, using default: GENERIC BUNKER C
    16:15:10 INFO    opendrift.models.openoil.adios.dirjs:86: Querying ADIOS database for oil: GENERIC BUNKER C
    16:15:10 INFO    opendrift.models.openoil.openoil:1717: Using density 988.1 and viscosity 0.02169233387797564 of oiltype GENERIC BUNKER C
    16:15:10 INFO    opendrift.models.basemodel.environment:203: Adding a global landmask from GSHHG
    16:15:15 INFO    opendrift.models.basemodel.environment:227: Fallback values will be used for the following variables which have no readers: 
    16:15:15 INFO    opendrift.models.basemodel.environment:230:    sea_surface_height: 0.000000
    16:15:15 INFO    opendrift.models.basemodel.environment:230:    upward_sea_water_velocity: 0.000000
    16:15:15 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_significant_height: 0.000000
    16:15:15 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_stokes_drift_x_velocity: 0.000000
    16:15:15 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_stokes_drift_y_velocity: 0.000000
    16:15:15 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_period_at_variance_spectral_density_maximum: 0.000000
    16:15:15 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment: 0.000000
    16:15:15 INFO    opendrift.models.basemodel.environment:230:    sea_ice_area_fraction: 0.000000
    16:15:15 INFO    opendrift.models.basemodel.environment:230:    sea_ice_x_velocity: 0.000000
    16:15:15 INFO    opendrift.models.basemodel.environment:230:    sea_ice_y_velocity: 0.000000
    16:15:15 INFO    opendrift.models.basemodel.environment:230:    sea_water_temperature: 10.000000
    16:15:15 INFO    opendrift.models.basemodel.environment:230:    sea_water_salinity: 34.000000
    16:15:15 INFO    opendrift.models.basemodel.environment:230:    sea_floor_depth_below_sea_level: 10000.000000
    16:15:15 INFO    opendrift.models.basemodel.environment:230:    ocean_vertical_diffusivity: 0.020000
    16:15:15 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

    16:15:15 INFO    opendrift:1803: Skipping environment variable upward_sea_water_velocity because of condition ['drift:vertical_advection', 'is', False]
    16:15:15 INFO    opendrift:1814: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
    16:15:15 INFO    opendrift:1814: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
    16:15:15 INFO    opendrift:952: Using existing reader for land_binary_mask to move elements to ocean
    16:15:15 INFO    opendrift:982: All points are in ocean
    16:15:15 INFO    opendrift.models.openoil.openoil:692: Oil-water surface tension is 0.035935 Nm
    16:15:15 INFO    opendrift.models.openoil.openoil:705: Max water fraction not available for GENERIC BUNKER C, using default
    16:15:15 INFO    opendrift:2111: 2025-11-20 16:15:10.822000 - step 1 of 96 - 3000 active elements (0 deactivated)
    16:15:15 INFO    opendrift.readers:63: Opening file with xr.open_dataset
    16:15:16 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'x': 'X', 'y': 'Y', 'z': 'depth', 'time': 'time'}
    16:15:16 INFO    opendrift.readers.basereader:176: Variable x_sea_water_velocity will be rotated from eastward_sea_water_velocity
    16:15:16 INFO    opendrift.readers.basereader:176: Variable y_sea_water_velocity will be rotated from northward_sea_water_velocity
    16:15:19 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.002011054 to -0.0003557275) found for ocean_vertical_diffusivity, replacing with NaN
    16:15:19 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:15:21 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.0052477014 to -0.0025730154) found for ocean_vertical_diffusivity, replacing with NaN
    16:15:21 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:15:21 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:21 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:21 INFO    opendrift:2111: 2025-11-20 16:45:10.822000 - step 2 of 96 - 3000 active elements (0 deactivated)
    16:15:21 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:21 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:21 INFO    opendrift:2111: 2025-11-20 17:15:10.822000 - step 3 of 96 - 3000 active elements (0 deactivated)
    16:15:25 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.010238303 to -0.0037264386) found for ocean_vertical_diffusivity, replacing with NaN
    16:15:25 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:15:25 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:25 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:25 INFO    opendrift:2111: 2025-11-20 17:45:10.822000 - step 4 of 96 - 3000 active elements (0 deactivated)
    16:15:25 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:25 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:27 INFO    opendrift:2111: 2025-11-20 18:15:10.822000 - step 5 of 96 - 2852 active elements (148 deactivated)
    16:15:29 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.01584748 to -0.0040364778) found for ocean_vertical_diffusivity, replacing with NaN
    16:15:29 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:15:29 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:29 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:29 INFO    opendrift:2111: 2025-11-20 18:45:10.822000 - step 6 of 96 - 2065 active elements (935 deactivated)
    16:15:29 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:29 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:29 INFO    opendrift:2111: 2025-11-20 19:15:10.822000 - step 7 of 96 - 1425 active elements (1575 deactivated)
    16:15:32 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.013677067 to -0.0035482645) found for ocean_vertical_diffusivity, replacing with NaN
    16:15:32 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:15:32 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:32 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:32 INFO    opendrift:2111: 2025-11-20 19:45:10.822000 - step 8 of 96 - 1257 active elements (1743 deactivated)
    16:15:32 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:32 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:32 INFO    opendrift:2111: 2025-11-20 20:15:10.822000 - step 9 of 96 - 1239 active elements (1761 deactivated)
    16:15:34 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.010000294 to -0.0026899634) found for ocean_vertical_diffusivity, replacing with NaN
    16:15:34 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:15:34 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:34 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:34 INFO    opendrift:2111: 2025-11-20 20:45:10.822000 - step 10 of 96 - 1239 active elements (1761 deactivated)
    16:15:34 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:34 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:34 INFO    opendrift:2111: 2025-11-20 21:15:10.822000 - step 11 of 96 - 1239 active elements (1761 deactivated)
    16:15:36 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.0076404572 to -0.002219592) found for ocean_vertical_diffusivity, replacing with NaN
    16:15:36 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:15:36 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:36 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:37 INFO    opendrift:2111: 2025-11-20 21:45:10.822000 - step 12 of 96 - 1239 active elements (1761 deactivated)
    16:15:37 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:37 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:37 INFO    opendrift:2111: 2025-11-20 22:15:10.822000 - step 13 of 96 - 1239 active elements (1761 deactivated)
    16:15:39 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.0076000956 to -0.0018557773) found for ocean_vertical_diffusivity, replacing with NaN
    16:15:39 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:15:39 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:39 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:39 INFO    opendrift:2111: 2025-11-20 22:45:10.822000 - step 14 of 96 - 1239 active elements (1761 deactivated)
    16:15:39 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:39 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:39 INFO    opendrift:2111: 2025-11-20 23:15:10.822000 - step 15 of 96 - 1239 active elements (1761 deactivated)
    16:15:41 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.0077873473 to -0.0016417273) found for ocean_vertical_diffusivity, replacing with NaN
    16:15:41 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:15:41 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:41 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:41 INFO    opendrift:2111: 2025-11-20 23:45:10.822000 - step 16 of 96 - 1239 active elements (1761 deactivated)
    16:15:41 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:41 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:42 INFO    opendrift:2111: 2025-11-21 00:15:10.822000 - step 17 of 96 - 1239 active elements (1761 deactivated)
    16:15:44 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.011864483 to -0.0030480614) found for ocean_vertical_diffusivity, replacing with NaN
    16:15:44 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:15:44 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:44 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:44 INFO    opendrift:2111: 2025-11-21 00:45:10.822000 - step 18 of 96 - 1239 active elements (1761 deactivated)
    16:15:44 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:44 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:44 INFO    opendrift:2111: 2025-11-21 01:15:10.822000 - step 19 of 96 - 1239 active elements (1761 deactivated)
    16:15:46 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.0075606154 to -0.0018771456) found for ocean_vertical_diffusivity, replacing with NaN
    16:15:46 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:15:46 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:46 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:46 INFO    opendrift:2111: 2025-11-21 01:45:10.822000 - step 20 of 96 - 1239 active elements (1761 deactivated)
    16:15:46 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:46 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:46 INFO    opendrift:2111: 2025-11-21 02:15:10.822000 - step 21 of 96 - 1239 active elements (1761 deactivated)
    16:15:48 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.0032756797 to -0.00070841564) found for ocean_vertical_diffusivity, replacing with NaN
    16:15:48 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:15:48 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:48 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:48 INFO    opendrift:2111: 2025-11-21 02:45:10.822000 - step 22 of 96 - 1239 active elements (1761 deactivated)
    16:15:48 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:48 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:49 INFO    opendrift:2111: 2025-11-21 03:15:10.822000 - step 23 of 96 - 1239 active elements (1761 deactivated)
    16:15:51 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.0022821107 to -6.207459e-05) found for ocean_vertical_diffusivity, replacing with NaN
    16:15:51 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:15:51 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:51 INFO    opendrift:2111: 2025-11-21 03:45:10.822000 - step 24 of 96 - 1238 active elements (1762 deactivated)
    16:15:51 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:51 INFO    opendrift:2111: 2025-11-21 04:15:10.822000 - step 25 of 96 - 1233 active elements (1767 deactivated)
    16:15:53 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.004512917 to -0.0016407805) found for ocean_vertical_diffusivity, replacing with NaN
    16:15:53 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:15:53 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:53 INFO    opendrift:2111: 2025-11-21 04:45:10.822000 - step 26 of 96 - 1226 active elements (1774 deactivated)
    16:15:53 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:53 INFO    opendrift:2111: 2025-11-21 05:15:10.822000 - step 27 of 96 - 1205 active elements (1795 deactivated)
    16:15:55 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.010906542 to -0.0027810957) found for ocean_vertical_diffusivity, replacing with NaN
    16:15:55 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:15:55 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:55 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:55 INFO    opendrift:2111: 2025-11-21 05:45:10.822000 - step 28 of 96 - 1189 active elements (1811 deactivated)
    16:15:55 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:55 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:55 INFO    opendrift:2111: 2025-11-21 06:15:10.822000 - step 29 of 96 - 1171 active elements (1829 deactivated)
    16:15:57 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.01675416 to -0.0038935635) found for ocean_vertical_diffusivity, replacing with NaN
    16:15:57 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:15:57 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:58 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:58 INFO    opendrift:2111: 2025-11-21 06:45:10.822000 - step 30 of 96 - 1161 active elements (1839 deactivated)
    16:15:58 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:58 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:15:58 INFO    opendrift:2111: 2025-11-21 07:15:10.822000 - step 31 of 96 - 1153 active elements (1847 deactivated)
    16:16:00 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.017144471 to -0.0048855185) found for ocean_vertical_diffusivity, replacing with NaN
    16:16:00 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:16:00 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:00 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:00 INFO    opendrift:2111: 2025-11-21 07:45:10.822000 - step 32 of 96 - 1146 active elements (1854 deactivated)
    16:16:00 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:00 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:00 INFO    opendrift:2111: 2025-11-21 08:15:10.822000 - step 33 of 96 - 1145 active elements (1855 deactivated)
    16:16:03 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.015292168 to -0.0034169133) found for ocean_vertical_diffusivity, replacing with NaN
    16:16:03 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:16:03 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:03 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:03 INFO    opendrift:2111: 2025-11-21 08:45:10.822000 - step 34 of 96 - 1142 active elements (1858 deactivated)
    16:16:03 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:03 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:03 INFO    opendrift:2111: 2025-11-21 09:15:10.822000 - step 35 of 96 - 1142 active elements (1858 deactivated)
    16:16:05 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.012358843 to -0.0022879057) found for ocean_vertical_diffusivity, replacing with NaN
    16:16:05 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:16:05 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:05 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:05 INFO    opendrift:2111: 2025-11-21 09:45:10.822000 - step 36 of 96 - 1141 active elements (1859 deactivated)
    16:16:05 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:05 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:05 INFO    opendrift:2111: 2025-11-21 10:15:10.822000 - step 37 of 96 - 1135 active elements (1865 deactivated)
    16:16:08 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.010065168 to -0.0020812093) found for ocean_vertical_diffusivity, replacing with NaN
    16:16:08 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:16:08 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:08 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:08 INFO    opendrift:2111: 2025-11-21 10:45:10.822000 - step 38 of 96 - 1123 active elements (1877 deactivated)
    16:16:08 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:08 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:08 INFO    opendrift:2111: 2025-11-21 11:15:10.822000 - step 39 of 96 - 1107 active elements (1893 deactivated)
    16:16:10 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.0095905755 to -0.0018932119) found for ocean_vertical_diffusivity, replacing with NaN
    16:16:10 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:16:10 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:10 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:10 INFO    opendrift:2111: 2025-11-21 11:45:10.822000 - step 40 of 96 - 1085 active elements (1915 deactivated)
    16:16:10 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:10 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:10 INFO    opendrift:2111: 2025-11-21 12:15:10.822000 - step 41 of 96 - 1070 active elements (1930 deactivated)
    16:16:12 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.009399082 to -0.0018188234) found for ocean_vertical_diffusivity, replacing with NaN
    16:16:12 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:16:12 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:12 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:12 INFO    opendrift:2111: 2025-11-21 12:45:10.822000 - step 42 of 96 - 1049 active elements (1951 deactivated)
    16:16:12 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:12 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:12 INFO    opendrift:2111: 2025-11-21 13:15:10.822000 - step 43 of 96 - 1042 active elements (1958 deactivated)
    16:16:15 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.006694455 to -0.0011018332) found for ocean_vertical_diffusivity, replacing with NaN
    16:16:15 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:16:15 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:15 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:15 INFO    opendrift:2111: 2025-11-21 13:45:10.822000 - step 44 of 96 - 1037 active elements (1963 deactivated)
    16:16:15 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:15 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:15 INFO    opendrift:2111: 2025-11-21 14:15:10.822000 - step 45 of 96 - 1028 active elements (1972 deactivated)
    16:16:17 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.002130914 to -0.0004039853) found for ocean_vertical_diffusivity, replacing with NaN
    16:16:17 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:16:17 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:17 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:17 INFO    opendrift:2111: 2025-11-21 14:45:10.822000 - step 46 of 96 - 1015 active elements (1985 deactivated)
    16:16:17 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:17 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:17 INFO    opendrift:2111: 2025-11-21 15:15:10.822000 - step 47 of 96 - 1002 active elements (1998 deactivated)
    16:16:20 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.0008034439 to -5.7754423e-06) found for ocean_vertical_diffusivity, replacing with NaN
    16:16:20 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:16:20 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:20 INFO    opendrift:2111: 2025-11-21 15:45:10.822000 - step 48 of 96 - 977 active elements (2023 deactivated)
    16:16:20 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:20 INFO    opendrift:2111: 2025-11-21 16:15:10.822000 - step 49 of 96 - 942 active elements (2058 deactivated)
    16:16:22 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.0024073173 to -7.636835e-06) found for ocean_vertical_diffusivity, replacing with NaN
    16:16:22 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:16:22 INFO    opendrift:2111: 2025-11-21 16:45:10.822000 - step 50 of 96 - 908 active elements (2092 deactivated)
    16:16:22 INFO    opendrift:2111: 2025-11-21 17:15:10.822000 - step 51 of 96 - 877 active elements (2123 deactivated)
    16:16:24 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.004575302 to -0.0012912703) found for ocean_vertical_diffusivity, replacing with NaN
    16:16:24 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:16:24 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:25 INFO    opendrift:2111: 2025-11-21 17:45:10.822000 - step 52 of 96 - 849 active elements (2151 deactivated)
    16:16:25 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:25 INFO    opendrift:2111: 2025-11-21 18:15:10.822000 - step 53 of 96 - 829 active elements (2171 deactivated)
    16:16:27 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.0074766413 to -0.0021744375) found for ocean_vertical_diffusivity, replacing with NaN
    16:16:27 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:16:27 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:27 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:27 INFO    opendrift:2111: 2025-11-21 18:45:10.822000 - step 54 of 96 - 807 active elements (2193 deactivated)
    16:16:27 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:27 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:27 INFO    opendrift:2111: 2025-11-21 19:15:10.822000 - step 55 of 96 - 784 active elements (2216 deactivated)
    16:16:29 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.008659884 to -0.0024384283) found for ocean_vertical_diffusivity, replacing with NaN
    16:16:29 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:16:29 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:29 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:29 INFO    opendrift:2111: 2025-11-21 19:45:10.822000 - step 56 of 96 - 755 active elements (2245 deactivated)
    16:16:29 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:29 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:29 INFO    opendrift:2111: 2025-11-21 20:15:10.822000 - step 57 of 96 - 733 active elements (2267 deactivated)
    16:16:31 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.007368218 to -0.0021418992) found for ocean_vertical_diffusivity, replacing with NaN
    16:16:31 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:16:31 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:31 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:32 INFO    opendrift:2111: 2025-11-21 20:45:10.822000 - step 58 of 96 - 712 active elements (2288 deactivated)
    16:16:32 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:32 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:32 INFO    opendrift:2111: 2025-11-21 21:15:10.822000 - step 59 of 96 - 689 active elements (2311 deactivated)
    16:16:34 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.0071592145 to -0.0016329748) found for ocean_vertical_diffusivity, replacing with NaN
    16:16:34 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:16:34 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:34 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:34 INFO    opendrift:2111: 2025-11-21 21:45:10.822000 - step 60 of 96 - 680 active elements (2320 deactivated)
    16:16:34 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:34 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:34 INFO    opendrift:2111: 2025-11-21 22:15:10.822000 - step 61 of 96 - 669 active elements (2331 deactivated)
    16:16:36 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.0071790824 to -0.0019642594) found for ocean_vertical_diffusivity, replacing with NaN
    16:16:36 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:16:36 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:36 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:36 INFO    opendrift:2111: 2025-11-21 22:45:10.822000 - step 62 of 96 - 665 active elements (2335 deactivated)
    16:16:36 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:36 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:36 INFO    opendrift:2111: 2025-11-21 23:15:10.822000 - step 63 of 96 - 664 active elements (2336 deactivated)
    16:16:39 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.007325342 to -0.0015713156) found for ocean_vertical_diffusivity, replacing with NaN
    16:16:39 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:16:39 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:39 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:39 INFO    opendrift:2111: 2025-11-21 23:45:10.822000 - step 64 of 96 - 661 active elements (2339 deactivated)
    16:16:39 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:39 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:39 INFO    opendrift:2111: 2025-11-22 00:15:10.822000 - step 65 of 96 - 661 active elements (2339 deactivated)
    16:16:42 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.006699055 to -0.0011858479) found for ocean_vertical_diffusivity, replacing with NaN
    16:16:42 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:16:42 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:42 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:42 INFO    opendrift:2111: 2025-11-22 00:45:10.822000 - step 66 of 96 - 657 active elements (2343 deactivated)
    16:16:42 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:42 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:42 INFO    opendrift:2111: 2025-11-22 01:15:10.822000 - step 67 of 96 - 656 active elements (2344 deactivated)
    16:16:44 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.005479353 to -0.00087081594) found for ocean_vertical_diffusivity, replacing with NaN
    16:16:44 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:16:44 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:44 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:44 INFO    opendrift:2111: 2025-11-22 01:45:10.822000 - step 68 of 96 - 650 active elements (2350 deactivated)
    16:16:44 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:44 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:44 INFO    opendrift:2111: 2025-11-22 02:15:10.822000 - step 69 of 96 - 647 active elements (2353 deactivated)
    16:16:47 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.003329699 to -0.00052805385) found for ocean_vertical_diffusivity, replacing with NaN
    16:16:47 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:16:47 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:47 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:47 INFO    opendrift:2111: 2025-11-22 02:45:10.822000 - step 70 of 96 - 645 active elements (2355 deactivated)
    16:16:47 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:47 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:47 INFO    opendrift:2111: 2025-11-22 03:15:10.822000 - step 71 of 96 - 643 active elements (2357 deactivated)
    16:16:49 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.0014721833 to -0.00024518816) found for ocean_vertical_diffusivity, replacing with NaN
    16:16:49 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:16:49 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:49 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:49 INFO    opendrift:2111: 2025-11-22 03:45:10.822000 - step 72 of 96 - 642 active elements (2358 deactivated)
    16:16:49 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:49 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:49 INFO    opendrift:2111: 2025-11-22 04:15:10.822000 - step 73 of 96 - 639 active elements (2361 deactivated)
    16:16:52 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.0019697354 to -0.00022575713) found for ocean_vertical_diffusivity, replacing with NaN
    16:16:52 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:16:52 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:52 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:52 INFO    opendrift:2111: 2025-11-22 04:45:10.822000 - step 74 of 96 - 638 active elements (2362 deactivated)
    16:16:52 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:52 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:52 INFO    opendrift:2111: 2025-11-22 05:15:10.822000 - step 75 of 96 - 637 active elements (2363 deactivated)
    16:16:54 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.0058930567 to -0.0011760537) found for ocean_vertical_diffusivity, replacing with NaN
    16:16:54 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:16:54 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:54 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:54 INFO    opendrift:2111: 2025-11-22 05:45:10.822000 - step 76 of 96 - 635 active elements (2365 deactivated)
    16:16:54 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:54 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:54 INFO    opendrift:2111: 2025-11-22 06:15:10.822000 - step 77 of 96 - 634 active elements (2366 deactivated)
    16:16:57 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.012580135 to -0.0021745078) found for ocean_vertical_diffusivity, replacing with NaN
    16:16:57 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:16:57 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:57 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:57 INFO    opendrift:2111: 2025-11-22 06:45:10.822000 - step 78 of 96 - 634 active elements (2366 deactivated)
    16:16:57 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:57 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:57 INFO    opendrift:2111: 2025-11-22 07:15:10.822000 - step 79 of 96 - 634 active elements (2366 deactivated)
    16:16:59 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.017188352 to -0.0015707857) found for ocean_vertical_diffusivity, replacing with NaN
    16:16:59 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:16:59 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:59 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:59 INFO    opendrift:2111: 2025-11-22 07:45:10.822000 - step 80 of 96 - 634 active elements (2366 deactivated)
    16:16:59 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:59 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:16:59 INFO    opendrift:2111: 2025-11-22 08:15:10.822000 - step 81 of 96 - 634 active elements (2366 deactivated)
    16:17:02 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.01193849 to -0.0019926156) found for ocean_vertical_diffusivity, replacing with NaN
    16:17:02 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:17:02 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:17:02 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:17:02 INFO    opendrift:2111: 2025-11-22 08:45:10.822000 - step 82 of 96 - 634 active elements (2366 deactivated)
    16:17:02 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:17:02 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:17:02 INFO    opendrift:2111: 2025-11-22 09:15:10.822000 - step 83 of 96 - 634 active elements (2366 deactivated)
    16:17:04 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.010677761 to -0.0013710498) found for ocean_vertical_diffusivity, replacing with NaN
    16:17:04 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:17:04 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:17:04 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:17:04 INFO    opendrift:2111: 2025-11-22 09:45:10.822000 - step 84 of 96 - 634 active elements (2366 deactivated)
    16:17:04 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:17:04 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:17:04 INFO    opendrift:2111: 2025-11-22 10:15:10.822000 - step 85 of 96 - 634 active elements (2366 deactivated)
    16:17:06 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.008913732 to -0.0013006806) found for ocean_vertical_diffusivity, replacing with NaN
    16:17:06 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:17:06 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:17:06 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:17:07 INFO    opendrift:2111: 2025-11-22 10:45:10.822000 - step 86 of 96 - 634 active elements (2366 deactivated)
    16:17:07 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:17:07 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:17:07 INFO    opendrift:2111: 2025-11-22 11:15:10.822000 - step 87 of 96 - 634 active elements (2366 deactivated)
    16:17:09 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.008713988 to -0.0011474517) found for ocean_vertical_diffusivity, replacing with NaN
    16:17:09 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:17:09 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:17:09 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:17:09 INFO    opendrift:2111: 2025-11-22 11:45:10.822000 - step 88 of 96 - 634 active elements (2366 deactivated)
    16:17:09 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:17:09 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:17:09 INFO    opendrift:2111: 2025-11-22 12:15:10.822000 - step 89 of 96 - 634 active elements (2366 deactivated)
    16:17:11 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.009754559 to -0.0017246595) found for ocean_vertical_diffusivity, replacing with NaN
    16:17:11 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:17:11 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:17:11 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:17:12 INFO    opendrift:2111: 2025-11-22 12:45:10.822000 - step 90 of 96 - 634 active elements (2366 deactivated)
    16:17:12 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:17:12 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:17:12 INFO    opendrift:2111: 2025-11-22 13:15:10.822000 - step 91 of 96 - 634 active elements (2366 deactivated)
    16:17:14 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.008705222 to -0.0014926917) found for ocean_vertical_diffusivity, replacing with NaN
    16:17:14 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:17:14 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:17:14 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:17:14 INFO    opendrift:2111: 2025-11-22 13:45:10.822000 - step 92 of 96 - 634 active elements (2366 deactivated)
    16:17:14 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:17:14 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:17:14 INFO    opendrift:2111: 2025-11-22 14:15:10.822000 - step 93 of 96 - 634 active elements (2366 deactivated)
    16:17:17 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.005887548 to -0.00046850444) found for ocean_vertical_diffusivity, replacing with NaN
    16:17:17 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:17:17 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:17:17 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:17:17 INFO    opendrift:2111: 2025-11-22 14:45:10.822000 - step 94 of 96 - 634 active elements (2366 deactivated)
    16:17:17 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:17:17 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:17:17 INFO    opendrift:2111: 2025-11-22 15:15:10.822000 - step 95 of 96 - 634 active elements (2366 deactivated)
    16:17:19 WARNING opendrift.readers.basereader.variables:656: Invalid values (-0.0011271478 to -1.1532042e-05) found for ocean_vertical_diffusivity, replacing with NaN
    16:17:19 WARNING opendrift.readers.basereader.variables:659: (allowed range: [0, 1])
    16:17:19 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning
    16:17:19 INFO    opendrift:2111: 2025-11-22 15:45:10.822000 - step 96 of 96 - 634 active elements (2366 deactivated)
    16:17:19 WARNING opendrift.readers.interpolation.interpolators:118: Only NaNs input to linearNDFast - returning


.. raw:: html

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      --xr-background-color-row-even: var(
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    .xr-wrap {
      display: block !important;
      min-width: 300px;
      max-width: 700px;
    }

    .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;
      margin-bottom: 4px;
      border-bottom: solid 1px var(--xr-border-color);
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    .xr-header > div,
    .xr-header > ul {
      display: inline;
      margin-top: 0;
      margin-bottom: 0;
    }

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

    .xr-obj-type {
      color: var(--xr-font-color2);
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    .xr-sections {
      padding-left: 0 !important;
      display: grid;
      grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;
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    .xr-section-item {
      display: contents;
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    .xr-section-item input {
      display: inline-block;
      opacity: 0;
      height: 0;
    }

    .xr-section-item input + label {
      color: var(--xr-disabled-color);
      border: 2px solid transparent !important;
    }

    .xr-section-item input:enabled + label {
      cursor: pointer;
      color: var(--xr-font-color2);
    }

    .xr-section-item input:focus + label {
      border: 2px solid var(--xr-font-color0) !important;
    }

    .xr-section-item input:enabled + label:hover {
      color: var(--xr-font-color0);
    }

    .xr-section-summary {
      grid-column: 1;
      color: var(--xr-font-color2);
      font-weight: 500;
    }

    .xr-section-summary > span {
      display: inline-block;
      padding-left: 0.5em;
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    .xr-section-summary-in:disabled + label {
      color: var(--xr-font-color2);
    }

    .xr-section-summary-in + label:before {
      display: inline-block;
      content: "►";
      font-size: 11px;
      width: 15px;
      text-align: center;
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    .xr-section-summary-in:disabled + label:before {
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    .xr-preview {
      color: var(--xr-font-color3);
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    .xr-array-preview,
    .xr-array-data {
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      grid-column: 2;
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    .xr-array-in:checked ~ .xr-array-data,
    .xr-array-preview {
      display: inline-block;
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    .xr-dim-list {
      display: inline-block !important;
      list-style: none;
      padding: 0 !important;
      margin: 0;
    }

    .xr-dim-list li {
      display: inline-block;
      padding: 0;
      margin: 0;
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    .xr-dim-list:before {
      content: "(";
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    .xr-dim-list:after {
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      content: ",";
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    .xr-has-index {
      font-weight: bold;
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      display: contents;
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    .xr-var-item label,
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      background-color: var(--xr-background-color-row-even);
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      margin-bottom: 0;
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      padding-right: 5px;
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    .xr-var-list > li:nth-child(odd) > div,
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    .xr-var-dtype {
      grid-column: 3;
      text-align: right;
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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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      width: auto;
      z-index: 1;
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    .xr-var-attrs,
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      display: none;
      border-top: 2px dotted var(--xr-background-color);
      padding-bottom: 20px !important;
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      padding: 0 1px;
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      display: inline-block;
      background: var(--xr-background-color);
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      grid-column: 2;
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      stroke: currentColor;
      fill: currentColor;
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    .xr-var-attrs-in:checked + label > .xr-icon-file-text2,
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      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: 25MB
    Dimensions:                                                                              (
                                                                                              trajectory: 3000,
                                                                                              time: 49)
    Coordinates:
      * trajectory                                                                           (trajectory) int64 24kB ...
      * time                                                                                 (time) datetime64[ns] 392B ...
    Data variables: (12/43)
        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_temperature                                                                (trajectory, time) float32 588kB ...
        sea_water_salinity                                                                   (trajectory, time) float32 588kB ...
        sea_floor_depth_below_sea_level                                                      (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: (12/165)
        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-99604dd8-b698-42c6-ba92-e4b66b25424a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-99604dd8-b698-42c6-ba92-e4b66b25424a' class='xr-section-summary'  title='Expand/collapse section'>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><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-319b89cc-5c67-49eb-b51e-5a94bba26891' class='xr-section-summary-in' type='checkbox'  checked><label for='section-319b89cc-5c67-49eb-b51e-5a94bba26891' class='xr-section-summary' >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-9d85fa96-819c-4639-938d-857316615dd6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d85fa96-819c-4639-938d-857316615dd6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27353885-a289-42de-ad1a-8dc2d98ed65f' class='xr-var-data-in' type='checkbox'><label for='data-27353885-a289-42de-ad1a-8dc2d98ed65f' 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'>2025-11-20T16:15:10.822000 ... 2...</div><input id='attrs-0c1fca74-c06f-44c2-8bd9-8fd58aac1db6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c1fca74-c06f-44c2-8bd9-8fd58aac1db6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94477a81-9aa3-4f56-9b22-619e537029e5' class='xr-var-data-in' type='checkbox'><label for='data-94477a81-9aa3-4f56-9b22-619e537029e5' 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;2025-11-20T16:15:10.822000000&#x27;, &#x27;2025-11-20T17:15:10.822000000&#x27;,
           &#x27;2025-11-20T18:15:10.822000000&#x27;, &#x27;2025-11-20T19:15:10.822000000&#x27;,
           &#x27;2025-11-20T20:15:10.822000000&#x27;, &#x27;2025-11-20T21:15:10.822000000&#x27;,
           &#x27;2025-11-20T22:15:10.822000000&#x27;, &#x27;2025-11-20T23:15:10.822000000&#x27;,
           &#x27;2025-11-21T00:15:10.822000000&#x27;, &#x27;2025-11-21T01:15:10.822000000&#x27;,
           &#x27;2025-11-21T02:15:10.822000000&#x27;, &#x27;2025-11-21T03:15:10.822000000&#x27;,
           &#x27;2025-11-21T04:15:10.822000000&#x27;, &#x27;2025-11-21T05:15:10.822000000&#x27;,
           &#x27;2025-11-21T06:15:10.822000000&#x27;, &#x27;2025-11-21T07:15:10.822000000&#x27;,
           &#x27;2025-11-21T08:15:10.822000000&#x27;, &#x27;2025-11-21T09:15:10.822000000&#x27;,
           &#x27;2025-11-21T10:15:10.822000000&#x27;, &#x27;2025-11-21T11:15:10.822000000&#x27;,
           &#x27;2025-11-21T12:15:10.822000000&#x27;, &#x27;2025-11-21T13:15:10.822000000&#x27;,
           &#x27;2025-11-21T14:15:10.822000000&#x27;, &#x27;2025-11-21T15:15:10.822000000&#x27;,
           &#x27;2025-11-21T16:15:10.822000000&#x27;, &#x27;2025-11-21T17:15:10.822000000&#x27;,
           &#x27;2025-11-21T18:15:10.822000000&#x27;, &#x27;2025-11-21T19:15:10.822000000&#x27;,
           &#x27;2025-11-21T20:15:10.822000000&#x27;, &#x27;2025-11-21T21:15:10.822000000&#x27;,
           &#x27;2025-11-21T22:15:10.822000000&#x27;, &#x27;2025-11-21T23:15:10.822000000&#x27;,
           &#x27;2025-11-22T00:15:10.822000000&#x27;, &#x27;2025-11-22T01:15:10.822000000&#x27;,
           &#x27;2025-11-22T02:15:10.822000000&#x27;, &#x27;2025-11-22T03:15:10.822000000&#x27;,
           &#x27;2025-11-22T04:15:10.822000000&#x27;, &#x27;2025-11-22T05:15:10.822000000&#x27;,
           &#x27;2025-11-22T06:15:10.822000000&#x27;, &#x27;2025-11-22T07:15:10.822000000&#x27;,
           &#x27;2025-11-22T08:15:10.822000000&#x27;, &#x27;2025-11-22T09:15:10.822000000&#x27;,
           &#x27;2025-11-22T10:15:10.822000000&#x27;, &#x27;2025-11-22T11:15:10.822000000&#x27;,
           &#x27;2025-11-22T12:15:10.822000000&#x27;, &#x27;2025-11-22T13:15:10.822000000&#x27;,
           &#x27;2025-11-22T14:15:10.822000000&#x27;, &#x27;2025-11-22T15:15:10.822000000&#x27;,
           &#x27;2025-11-22T16:15:10.822000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fc721451-1d98-46e2-a9fc-8f441512bac3' class='xr-section-summary-in' type='checkbox'  ><label for='section-fc721451-1d98-46e2-a9fc-8f441512bac3' class='xr-section-summary' >Data variables: <span>(43)</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-4f8a7a24-4cee-4590-b6bd-d193cd509839' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f8a7a24-4cee-4590-b6bd-d193cd509839' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28b9ff2d-cf66-4b9e-87e8-c44ddcb61330' class='xr-var-data-in' type='checkbox'><label for='data-28b9ff2d-cf66-4b9e-87e8-c44ddcb61330' 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., ..., nan, nan, nan],
           [ 0.,  0.,  1., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 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>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-287b6421-9825-41d0-bc7a-0b94215e382f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-287b6421-9825-41d0-bc7a-0b94215e382f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a3107a5-7aef-4a77-b8ef-7c486b1b987b' class='xr-var-data-in' type='checkbox'><label for='data-4a3107a5-7aef-4a77-b8ef-7c486b1b987b' 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., ..., nan, nan, nan],
           [ 1.,  1.,  0., ..., nan, nan, nan],
           ...,
           [ 1.,  1.,  1., ..., nan, nan, nan],
           [ 1.,  1.,  1., ..., nan, nan, nan],
           [ 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>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-32995a43-ddf2-488f-8c6c-ad5be5d955a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-32995a43-ddf2-488f-8c6c-ad5be5d955a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb1eb664-5026-40e0-9d20-e7dc1bc8c68c' class='xr-var-data-in' type='checkbox'><label for='data-fb1eb664-5026-40e0-9d20-e7dc1bc8c68c' 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., ...,     nan,     nan,     nan],
           [     0.,   3600.,   7200., ...,     nan,     nan,     nan],
           ...,
           [     0.,   3600.,   7200., ...,     nan,     nan,     nan],
           [     0.,   3600.,   7200., ...,     nan,     nan,     nan],
           [     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-8863f3b9-9ba3-4d82-a00b-7e962a3008c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8863f3b9-9ba3-4d82-a00b-7e962a3008c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd36115b-8581-4243-8240-ca5feea27437' class='xr-var-data-in' type='checkbox'><label for='data-bd36115b-8581-4243-8240-ca5feea27437' 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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 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 19.23 19.23 ... nan nan nan</div><input id='attrs-1dad10af-08ca-4492-8727-1f5c73ec02ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1dad10af-08ca-4492-8727-1f5c73ec02ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c54f940c-e902-4691-bbc3-46203b7f304c' class='xr-var-data-in' type='checkbox'><label for='data-c54f940c-e902-4691-bbc3-46203b7f304c' 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>18.193964</dd><dt><span>maxval :</span></dt><dd>19.27723</dd></dl></div><div class='xr-var-data'><pre>array([[19.195274, 19.234621, 19.229258, ..., 18.498672, 18.515356,
            18.57723 ],
           [19.191893, 19.201065, 19.192644, ...,       nan,       nan,
                  nan],
           [19.193327, 19.198574, 19.18001 , ...,       nan,       nan,
                  nan],
           ...,
           [19.190422, 19.220943, 19.216028, ...,       nan,       nan,
                  nan],
           [19.187893, 19.212637, 19.19721 , ...,       nan,       nan,
                  nan],
           [19.1907  , 19.20619 , 19.191679, ...,       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 79.58 79.57 ... nan nan nan</div><input id='attrs-3c2e57fc-44b9-4fe0-8459-138b0904575d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c2e57fc-44b9-4fe0-8459-138b0904575d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2aa2a9c-67f1-4742-a4bd-1b40a25e8e66' class='xr-var-data-in' type='checkbox'><label for='data-a2aa2a9c-67f1-4742-a4bd-1b40a25e8e66' 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>79.50525</dd><dt><span>maxval :</span></dt><dd>79.71514</dd></dl></div><div class='xr-var-data'><pre>array([[79.59931 , 79.58326 , 79.57229 , ..., 79.66294 , 79.662834,
            79.657936],
           [79.598854, 79.585915, 79.57792 , ...,       nan,       nan,
                  nan],
           [79.59855 , 79.58111 , 79.574615, ...,       nan,       nan,
                  nan],
           ...,
           [79.59836 , 79.58622 , 79.579605, ...,       nan,       nan,
                  nan],
           [79.59878 , 79.58307 , 79.569496, ...,       nan,       nan,
                  nan],
           [79.59873 , 79.583244, 79.57702 , ...,       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-c87bbe7c-a0be-41d0-8e93-cf7953fa19c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c87bbe7c-a0be-41d0-8e93-cf7953fa19c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa0d28f6-a090-4989-8c11-a19b3ca4f11b' class='xr-var-data-in' type='checkbox'><label for='data-aa0d28f6-a090-4989-8c11-a19b3ca4f11b' 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>-147.34338</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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 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-382c597b-b2bb-4be5-afb4-35abee5ab632' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-382c597b-b2bb-4be5-afb4-35abee5ab632' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b6c32f3-1a37-43e0-833c-36f1e1ce8a31' class='xr-var-data-in' type='checkbox'><label for='data-6b6c32f3-1a37-43e0-833c-36f1e1ce8a31' 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, ...,  nan,  nan,  nan],
           [0.03, 0.03, 0.03, ...,  nan,  nan,  nan],
           ...,
           [0.03, 0.03, 0.03, ...,  nan,  nan,  nan],
           [0.03, 0.03, 0.03, ...,  nan,  nan,  nan],
           [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-20584d57-845d-44cf-a630-84cc6d9cd0d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20584d57-845d-44cf-a630-84cc6d9cd0d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19672f93-4ed3-4e8d-98b0-8497e6e8953a' class='xr-var-data-in' type='checkbox'><label for='data-19672f93-4ed3-4e8d-98b0-8497e6e8953a' 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., ..., nan, nan, nan],
           [ 1.,  1.,  1., ..., nan, nan, nan],
           ...,
           [ 1.,  1.,  1., ..., nan, nan, nan],
           [ 1.,  1.,  1., ..., nan, nan, nan],
           [ 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-92ef3a6b-cc3c-4209-8397-f8b87ac77d8f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92ef3a6b-cc3c-4209-8397-f8b87ac77d8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae7524fa-5574-4455-9e59-9b2115bf7d06' class='xr-var-data-in' type='checkbox'><label for='data-ae7524fa-5574-4455-9e59-9b2115bf7d06' 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>0.048646264</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 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-8e404dc0-3004-45c3-aa91-65e4479bced4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e404dc0-3004-45c3-aa91-65e4479bced4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-216153df-4210-4ba4-ad8c-44239b552446' class='xr-var-data-in' type='checkbox'><label for='data-216153df-4210-4ba4-ad8c-44239b552446' 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, ...,        nan,        nan,
                   nan],
           [0.32936665, 0.32936665, 0.32936665, ...,        nan,        nan,
                   nan],
           ...,
           [0.32936665, 0.32936665, 0.32936665, ...,        nan,        nan,
                   nan],
           [0.32936665, 0.32936665, 0.32936665, ...,        nan,        nan,
                   nan],
           [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 0.1239 0.124 ... nan nan</div><input id='attrs-bb9abad7-a4e6-4750-b446-f711cb3f096f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb9abad7-a4e6-4750-b446-f711cb3f096f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ce4bc88-3ef3-403b-a077-962c5aa4c9d4' class='xr-var-data-in' type='checkbox'><label for='data-3ce4bc88-3ef3-403b-a077-962c5aa4c9d4' 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>0.12654997</dd></dl></div><div class='xr-var-data'><pre>array([[0.02169233, 0.12385225, 0.12402567, ..., 0.12572998, 0.12571451,
            0.12571035],
           [0.02169233, 0.1238704 , 0.12396412, ...,        nan,        nan,
                   nan],
           [0.02169233, 0.12389265, 0.12403037, ...,        nan,        nan,
                   nan],
           ...,
           [0.02169233, 0.12390964, 0.12392604, ...,        nan,        nan,
                   nan],
           [0.02169233, 0.123895  , 0.12401395, ...,        nan,        nan,
                   nan],
           [0.02169233, 0.12384171, 0.12397467, ...,        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'>988.1 995.9 995.9 ... nan nan nan</div><input id='attrs-66960ddb-6aa7-4cb8-8b87-22bd144459b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66960ddb-6aa7-4cb8-8b87-22bd144459b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-097f6404-ddb9-4224-8b64-f5508b2aa7a7' class='xr-var-data-in' type='checkbox'><label for='data-097f6404-ddb9-4224-8b64-f5508b2aa7a7' 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>996.0124</dd></dl></div><div class='xr-var-data'><pre>array([[988.1    , 995.9197 , 995.9257 , ..., 995.98444, 995.9839 ,
            995.98376],
           [988.1    , 995.9203 , 995.9236 , ...,       nan,       nan,
                  nan],
           [988.1    , 995.9211 , 995.92584, ...,       nan,       nan,
                  nan],
           ...,
           [988.1    , 995.9217 , 995.92224, ...,       nan,       nan,
                  nan],
           [988.1    , 995.92114, 995.9253 , ...,       nan,       nan,
                  nan],
           [988.1    , 995.9193 , 995.92395, ...,       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-687ec17b-516c-41f2-ac97-c5658da7bfab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-687ec17b-516c-41f2-ac97-c5658da7bfab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4bc7cb1-b202-4054-b99f-da6c88fd1858' class='xr-var-data-in' type='checkbox'><label for='data-e4bc7cb1-b202-4054-b99f-da6c88fd1858' 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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 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-7ac79d3b-f9fd-4ff2-9f63-74339b532d91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ac79d3b-f9fd-4ff2-9f63-74339b532d91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc3a7330-0afb-4a88-ba63-ffcec8376fa9' class='xr-var-data-in' type='checkbox'><label for='data-bc3a7330-0afb-4a88-ba63-ffcec8376fa9' 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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 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-c6e8bbbd-2616-4b7d-88b8-6a8ea4585a1f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6e8bbbd-2616-4b7d-88b8-6a8ea4585a1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-507ccab6-2000-4261-8821-3374ced0cbb2' class='xr-var-data-in' type='checkbox'><label for='data-507ccab6-2000-4261-8821-3374ced0cbb2' 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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 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-05011c1a-eff7-4e9d-a2c9-143a5ebd1306' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05011c1a-eff7-4e9d-a2c9-143a5ebd1306' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c38f6e8f-a46b-42a4-8101-707ac026b610' class='xr-var-data-in' type='checkbox'><label for='data-c38f6e8f-a46b-42a4-8101-707ac026b610' 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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 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-c4d13440-bd42-4884-98a1-76680c7caaa9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c4d13440-bd42-4884-98a1-76680c7caaa9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12103ec0-f7fd-404e-98ca-3dfae27a82db' class='xr-var-data-in' type='checkbox'><label for='data-12103ec0-f7fd-404e-98ca-3dfae27a82db' 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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 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-04d10b6a-ccb6-44d3-83c1-7cca8ae3df53' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-04d10b6a-ccb6-44d3-83c1-7cca8ae3df53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56bb538f-40f8-406c-a33c-b03292451481' class='xr-var-data-in' type='checkbox'><label for='data-56bb538f-40f8-406c-a33c-b03292451481' 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., ..., nan, nan, nan],
           [ 1.,  1.,  1., ..., nan, nan, nan],
           ...,
           [ 1.,  1.,  1., ..., nan, nan, nan],
           [ 1.,  1.,  1., ..., nan, nan, nan],
           [ 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-729e78f0-3ced-485c-927f-a564d638a7a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-729e78f0-3ced-485c-927f-a564d638a7a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-453ee382-ce25-4029-b5ed-7458456e38fb' class='xr-var-data-in' type='checkbox'><label for='data-453ee382-ce25-4029-b5ed-7458456e38fb' 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., ..., nan, nan, nan],
           [ 3.,  3.,  3., ..., nan, nan, nan],
           ...,
           [ 3.,  3.,  3., ..., nan, nan, nan],
           [ 3.,  3.,  3., ..., nan, nan, nan],
           [ 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-16477c3a-4bf5-4a53-ae5b-07d879ade188' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-16477c3a-4bf5-4a53-ae5b-07d879ade188' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8dfc497-c6ff-49c5-8282-759f8783213f' class='xr-var-data-in' type='checkbox'><label for='data-a8dfc497-c6ff-49c5-8282-759f8783213f' 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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 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-2eaade7a-3016-403e-b65b-bd70cf1e8571' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2eaade7a-3016-403e-b65b-bd70cf1e8571' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7466b631-c0e7-47e9-a107-c02e5fb55ae1' class='xr-var-data-in' type='checkbox'><label for='data-7466b631-c0e7-47e9-a107-c02e5fb55ae1' 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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 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-8d06089c-e63f-4a24-8909-b9e2382bacd1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d06089c-e63f-4a24-8909-b9e2382bacd1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38eed0fd-ff8d-42d5-9f62-da01174d825e' class='xr-var-data-in' type='checkbox'><label for='data-38eed0fd-ff8d-42d5-9f62-da01174d825e' 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, ...,   nan,   nan,   nan],
           [0.001, 0.001, 0.001, ...,   nan,   nan,   nan],
           ...,
           [0.001, 0.001, 0.001, ...,   nan,   nan,   nan],
           [0.001, 0.001, 0.001, ...,   nan,   nan,   nan],
           [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-3effecd2-8bb6-447f-a95a-1757ff6ff862' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3effecd2-8bb6-447f-a95a-1757ff6ff862' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dae46809-3706-4c0a-9e86-e685bb08ee36' class='xr-var-data-in' type='checkbox'><label for='data-dae46809-3706-4c0a-9e86-e685bb08ee36' 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>0.0029752792</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 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'>0.1187 -0.1655 -0.242 ... nan nan</div><input id='attrs-f173a6a3-afd8-42ff-8537-b6cbff34325a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f173a6a3-afd8-42ff-8537-b6cbff34325a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0954ca42-c60d-4562-bfe1-7500091c5a2d' class='xr-var-data-in' type='checkbox'><label for='data-0954ca42-c60d-4562-bfe1-7500091c5a2d' 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>-0.4632311</dd><dt><span>maxval :</span></dt><dd>0.42820364</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.11867225, -0.16553898, -0.241993  , ...,  0.0212197 ,
             0.18596643,  0.2744809 ],
           [-0.03052713, -0.07872289, -0.18960428, ...,         nan,
                    nan,         nan],
           [ 0.02084267, -0.06768333, -0.19970363, ...,         nan,
                    nan,         nan],
           ...,
           [-0.02613983, -0.10701267, -0.25403255, ...,         nan,
                    nan,         nan],
           [-0.03915105, -0.09996999, -0.23048006, ...,         nan,
                    nan,         nan],
           [ 0.0493288 , -0.04214817, -0.21047366, ...,         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'>-0.1622 -0.2151 ... nan nan</div><input id='attrs-cd7b0060-6c18-4139-b339-f254de90b651' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd7b0060-6c18-4139-b339-f254de90b651' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ea6a0b1-81ee-435d-89a4-68dd40c6c690' class='xr-var-data-in' type='checkbox'><label for='data-0ea6a0b1-81ee-435d-89a4-68dd40c6c690' 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>-0.45588952</dd><dt><span>maxval :</span></dt><dd>0.5105866</dd></dl></div><div class='xr-var-data'><pre>array([[-0.16218445, -0.21514328,  0.00117712, ..., -0.03957282,
            -0.11322746, -0.15731534],
           [-0.20970044, -0.08125421,  0.02606721, ...,         nan,
                    nan,         nan],
           [-0.23710456, -0.08938844, -0.00335498, ...,         nan,
                    nan,         nan],
           ...,
           [-0.3317867 , -0.1268828 ,  0.05855263, ...,         nan,
                    nan,         nan],
           [-0.23129332, -0.07169896,  0.01652639, ...,         nan,
                    nan,         nan],
           [-0.22021389, -0.07019395,  0.01327161, ...,         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'>3.905 3.654 0.09221 ... nan nan nan</div><input id='attrs-1fcca1d2-9532-4d63-8ff0-64e7a6977c3f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1fcca1d2-9532-4d63-8ff0-64e7a6977c3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1684a6c-0e93-46e7-81f4-401f0be2d1ec' class='xr-var-data-in' type='checkbox'><label for='data-e1684a6c-0e93-46e7-81f4-401f0be2d1ec' 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>-6.497059</dd><dt><span>maxval :</span></dt><dd>7.346035</dd></dl></div><div class='xr-var-data'><pre>array([[3.904749  , 3.654131  , 0.09220999, ..., 5.9585915 , 6.174413  ,
            4.178538  ],
           [3.6613576 , 4.1934896 , 1.5986426 , ...,        nan,        nan,
                   nan],
           [2.8537605 , 2.6271513 , 1.1637045 , ...,        nan,        nan,
                   nan],
           ...,
           [3.8337576 , 4.010702  , 0.98710287, ...,        nan,        nan,
                   nan],
           [3.1810038 , 3.7004135 , 1.3768398 , ...,        nan,        nan,
                   nan],
           [3.3570266 , 3.6924062 , 0.46643052, ...,        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'>-6.063 -6.806 -5.631 ... nan nan</div><input id='attrs-66ee4d27-345f-4129-a026-916a41bc91f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66ee4d27-345f-4129-a026-916a41bc91f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26a0c0a7-b7e2-4492-88fc-719ecd9feb04' class='xr-var-data-in' type='checkbox'><label for='data-26a0c0a7-b7e2-4492-88fc-719ecd9feb04' 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>-8.947911</dd><dt><span>maxval :</span></dt><dd>4.019662</dd></dl></div><div class='xr-var-data'><pre>array([[-6.0634384, -6.8059726, -5.6307755, ...,  1.8493814,  1.2804924,
             0.4190619],
           [-7.0147724, -6.431187 , -5.7073855, ...,        nan,        nan,
                   nan],
           [-7.5028625, -6.583401 , -5.5540524, ...,        nan,        nan,
                   nan],
           ...,
           [-7.3192472, -6.483678 , -6.025388 , ...,        nan,        nan,
                   nan],
           [-7.392911 , -7.1021156, -6.1098576, ...,        nan,        nan,
                   nan],
           [-7.283789 , -5.9179363, -5.48603  , ...,        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'>-0.1496 -0.3739 -0.6475 ... nan nan</div><input id='attrs-5d9b233b-8f4c-4c83-b630-11cdcee8b989' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d9b233b-8f4c-4c83-b630-11cdcee8b989' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-740bfdba-1a54-4b03-9ec4-df0ef09a18bb' class='xr-var-data-in' type='checkbox'><label for='data-740bfdba-1a54-4b03-9ec4-df0ef09a18bb' 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>-1.0074744</dd><dt><span>maxval :</span></dt><dd>-0.006743677</dd></dl></div><div class='xr-var-data'><pre>array([[-0.14958233, -0.3738824 , -0.64749694, ..., -0.43144834,
            -0.20296851, -0.1032992 ],
           [-0.1494138 , -0.37613183, -0.6508636 , ...,         nan,
                    nan,         nan],
           [-0.1493445 , -0.3746373 , -0.6510899 , ...,         nan,
                    nan,         nan],
           ...,
           [-0.14925694, -0.37539554, -0.6496992 , ...,         nan,
                    nan,         nan],
           [-0.14934623, -0.37469897, -0.649035  , ...,         nan,
                    nan,         nan],
           [-0.1493656 , -0.37503183, -0.650769  , ...,         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'>1.28 1.468 0.7802 ... nan nan nan</div><input id='attrs-95754b91-16a5-4e46-ad1d-152661f6cbab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95754b91-16a5-4e46-ad1d-152661f6cbab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14436f8f-3ad9-4fb7-9e53-fd10366ca230' class='xr-var-data-in' type='checkbox'><label for='data-14436f8f-3ad9-4fb7-9e53-fd10366ca230' 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>4.004265e-06</dd><dt><span>maxval :</span></dt><dd>2.4094546</dd></dl></div><div class='xr-var-data'><pre>array([[1.2795038 , 1.4679787 , 0.7801677 , ..., 0.95755553, 0.9781708 ,
            0.4338405 ],
           [1.5402693 , 1.4500599 , 0.86419564, ...,        nan,        nan,
                   nan],
           [1.5851476 , 1.2359802 , 0.7921618 , ...,        nan,        nan,
                   nan],
           ...,
           [1.6794192 , 1.4298456 , 0.91707987, ...,        nan,        nan,
                   nan],
           [1.5934384 , 1.5776745 , 0.96496075, ...,        nan,        nan,
                   nan],
           [1.5823507 , 1.1969334 , 0.7457264 , ...,        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-dbb8ca5e-d1a9-4ecd-a94e-8d03ad8fc7e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dbb8ca5e-d1a9-4ecd-a94e-8d03ad8fc7e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-940c5d49-7186-4fa1-9155-19365c72daeb' class='xr-var-data-in' type='checkbox'><label for='data-940c5d49-7186-4fa1-9155-19365c72daeb' 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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 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-3f5fba49-c24c-4961-ace9-9e67760c949f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f5fba49-c24c-4961-ace9-9e67760c949f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03b21d52-67d0-48f2-ae83-0dd0267587ab' class='xr-var-data-in' type='checkbox'><label for='data-03b21d52-67d0-48f2-ae83-0dd0267587ab' 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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 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-d2e26e2f-f551-4c54-ba6c-d97d00a46709' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2e26e2f-f551-4c54-ba6c-d97d00a46709' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6162df4b-7808-479f-9f59-b5b6fc3bf5c1' class='xr-var-data-in' type='checkbox'><label for='data-6162df4b-7808-479f-9f59-b5b6fc3bf5c1' 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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 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'>6.162 6.601 4.812 ... nan nan nan</div><input id='attrs-b27d890c-a460-4d88-b4d0-e749fcc698fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b27d890c-a460-4d88-b4d0-e749fcc698fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76af2d48-c048-4515-b5ef-09d9f770a76c' class='xr-var-data-in' type='checkbox'><label for='data-76af2d48-c048-4515-b5ef-09d9f770a76c' 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>0.010901618</dd><dt><span>maxval :</span></dt><dd>8.456467</dd></dl></div><div class='xr-var-data'><pre>array([[6.1624064, 6.6006923, 4.8119774, ..., 5.331035 , 5.388116 ,
            3.5883486],
           [6.761264 , 6.560282 , 5.064489 , ...,       nan,       nan,
                  nan],
           [6.8590574, 6.0566897, 4.8488255, ...,       nan,       nan,
                  nan],
           ...,
           [7.0600724, 6.5143957, 5.2171483, ...,       nan,       nan,
                  nan],
           [6.876971 , 6.8428698, 5.351609 , ...,       nan,       nan,
                  nan],
           [6.8530035, 5.960252 , 4.7045636, ...,       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-210be00a-9b7d-4bfd-85bf-4df3a00dc49f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-210be00a-9b7d-4bfd-85bf-4df3a00dc49f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fda321cc-41d1-4c8f-899f-909122920547' class='xr-var-data-in' type='checkbox'><label for='data-fda321cc-41d1-4c8f-899f-909122920547' 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>0.00040484066</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 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-aa40be9f-e3ed-4f05-b52f-a0e0f1a3734c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa40be9f-e3ed-4f05-b52f-a0e0f1a3734c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c74ae364-0b49-4b4b-bda1-1baf7803612c' class='xr-var-data-in' type='checkbox'><label for='data-c74ae364-0b49-4b4b-bda1-1baf7803612c' 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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 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-3076f693-9b74-4299-8710-aa0c9fa45802' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3076f693-9b74-4299-8710-aa0c9fa45802' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f527e407-882c-499f-b127-7f41fb729199' class='xr-var-data-in' type='checkbox'><label for='data-f527e407-882c-499f-b127-7f41fb729199' 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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 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'>0.1253 0.117 0.1096 ... nan nan nan</div><input id='attrs-6ad788f8-52cb-42ca-b93c-a84ce177309f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ad788f8-52cb-42ca-b93c-a84ce177309f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42083c6f-3dc2-4368-9426-380c2e51811a' class='xr-var-data-in' type='checkbox'><label for='data-42083c6f-3dc2-4368-9426-380c2e51811a' 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>-0.01645198</dd><dt><span>maxval :</span></dt><dd>273.25745</dd></dl></div><div class='xr-var-data'><pre>array([[1.25281438e-01, 1.17000602e-01, 1.09608494e-01, ...,
            2.31329780e-02, 2.64622923e-02, 2.73174377e+02],
           [1.23865269e-01, 1.17018476e-01, 1.12104386e-01, ...,
                       nan,            nan,            nan],
           [1.23620108e-01, 1.13451131e-01, 1.07891135e-01, ...,
                       nan,            nan,            nan],
           ...,
           [1.22748412e-01, 1.18306041e-01, 1.15688339e-01, ...,
                       nan,            nan,            nan],
           [1.22978963e-01, 1.15610927e-01, 1.03785150e-01, ...,
                       nan,            nan,            nan],
           [1.23433255e-01, 1.15393460e-01, 1.11151062e-01, ...,
                       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'>33.78 33.78 33.78 ... nan nan nan</div><input id='attrs-c25327b7-a7d4-4ad2-afd8-53d85e8074ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c25327b7-a7d4-4ad2-afd8-53d85e8074ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d3fac16-eebe-457d-96fb-989c0f9bef51' class='xr-var-data-in' type='checkbox'><label for='data-0d3fac16-eebe-457d-96fb-989c0f9bef51' 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>33.78068</dd><dt><span>maxval :</span></dt><dd>33.894028</dd></dl></div><div class='xr-var-data'><pre>array([[33.783092, 33.78299 , 33.782867, ..., 33.814713, 33.814747,
            33.812946],
           [33.78268 , 33.783493, 33.78353 , ...,       nan,       nan,
                  nan],
           [33.78262 , 33.783493, 33.78303 , ...,       nan,       nan,
                  nan],
           ...,
           [33.78236 , 33.783188, 33.78387 , ...,       nan,       nan,
                  nan],
           [33.78241 , 33.783295, 33.782215, ...,       nan,       nan,
                  nan],
           [33.782555, 33.783398, 33.783405, ...,       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'>170.4 143.0 127.0 ... nan nan nan</div><input id='attrs-bba9c191-b321-4736-92c2-a9403f078ad4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bba9c191-b321-4736-92c2-a9403f078ad4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f9879d5-2b0c-49bd-aa19-76601e46e30b' class='xr-var-data-in' type='checkbox'><label for='data-0f9879d5-2b0c-49bd-aa19-76601e46e30b' 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>45.181934</dd><dt><span>maxval :</span></dt><dd>291.0846</dd></dl></div><div class='xr-var-data'><pre>array([[170.4251  , 143.0016  , 127.03326 , ..., 270.23193 , 269.47803 ,
            267.20813 ],
           [170.93388 , 151.19113 , 139.48196 , ...,        nan,        nan,
                   nan],
           [170.35571 , 143.88408 , 135.68294 , ...,        nan,        nan,
                   nan],
           ...,
           [170.93738 , 149.28592 , 139.33974 , ...,        nan,        nan,
                   nan],
           [171.87785 , 145.29465 , 125.004456, ...,        nan,        nan,
                   nan],
           [171.14177 , 146.35132 , 138.13156 , ...,        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-b3fd576e-d635-4986-8687-5b4888039693' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3fd576e-d635-4986-8687-5b4888039693' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a20ebc6d-098b-4486-9f3d-9041801891b9' class='xr-var-data-in' type='checkbox'><label for='data-a20ebc6d-098b-4486-9f3d-9041801891b9' 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>1.6851118e-05</dd><dt><span>maxval :</span></dt><dd>0.029581249</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, ...,  nan,  nan,  nan],
           [0.02, 0.02, 0.02, ...,  nan,  nan,  nan],
           ...,
           [0.02, 0.02, 0.02, ...,  nan,  nan,  nan],
           [0.02, 0.02, 0.02, ...,  nan,  nan,  nan],
           [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-5fb41f39-5438-4f0a-8af4-c7c1bd95fc33' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5fb41f39-5438-4f0a-8af4-c7c1bd95fc33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af44b2e1-983f-4d06-a7c1-8e1a7b7dd4e2' class='xr-var-data-in' type='checkbox'><label for='data-af44b2e1-983f-4d06-a7c1-8e1a7b7dd4e2' 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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 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-6581ac99-40cf-48ce-b551-fc5bd219d00f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6581ac99-40cf-48ce-b551-fc5bd219d00f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e7bb484-60b1-451d-92b3-147682a630e2' class='xr-var-data-in' type='checkbox'><label for='data-9e7bb484-60b1-451d-92b3-147682a630e2' 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., ..., nan, nan, nan],
           [50., 50., 50., ..., nan, nan, nan],
           ...,
           [50., 50., 50., ..., nan, nan, nan],
           [50., 50., 50., ..., nan, nan, nan],
           [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-104a82b5-ced9-4720-88ff-87f07f348c22' class='xr-section-summary-in' type='checkbox'  ><label for='section-104a82b5-ced9-4720-88ff-87f07f348c22' class='xr-section-summary' >Indexes: <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-index-name'><div>trajectory</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-c430e06a-b5db-460a-85ac-1a4a4fd3990c' class='xr-index-data-in' type='checkbox'/><label for='index-c430e06a-b5db-460a-85ac-1a4a4fd3990c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([   0,    1,    2,    3,    4,    5,    6,    7,    8,    9,
           ...
           2990, 2991, 2992, 2993, 2994, 2995, 2996, 2997, 2998, 2999],
          dtype=&#x27;int64&#x27;, name=&#x27;trajectory&#x27;, length=3000))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-62b00fa3-dff7-4451-b315-c8e6e2fc521d' class='xr-index-data-in' type='checkbox'/><label for='index-62b00fa3-dff7-4451-b315-c8e6e2fc521d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2025-11-20 16:15:10.822000&#x27;, &#x27;2025-11-20 17:15:10.822000&#x27;,
                   &#x27;2025-11-20 18:15:10.822000&#x27;, &#x27;2025-11-20 19:15:10.822000&#x27;,
                   &#x27;2025-11-20 20:15:10.822000&#x27;, &#x27;2025-11-20 21:15:10.822000&#x27;,
                   &#x27;2025-11-20 22:15:10.822000&#x27;, &#x27;2025-11-20 23:15:10.822000&#x27;,
                   &#x27;2025-11-21 00:15:10.822000&#x27;, &#x27;2025-11-21 01:15:10.822000&#x27;,
                   &#x27;2025-11-21 02:15:10.822000&#x27;, &#x27;2025-11-21 03:15:10.822000&#x27;,
                   &#x27;2025-11-21 04:15:10.822000&#x27;, &#x27;2025-11-21 05:15:10.822000&#x27;,
                   &#x27;2025-11-21 06:15:10.822000&#x27;, &#x27;2025-11-21 07:15:10.822000&#x27;,
                   &#x27;2025-11-21 08:15:10.822000&#x27;, &#x27;2025-11-21 09:15:10.822000&#x27;,
                   &#x27;2025-11-21 10:15:10.822000&#x27;, &#x27;2025-11-21 11:15:10.822000&#x27;,
                   &#x27;2025-11-21 12:15:10.822000&#x27;, &#x27;2025-11-21 13:15:10.822000&#x27;,
                   &#x27;2025-11-21 14:15:10.822000&#x27;, &#x27;2025-11-21 15:15:10.822000&#x27;,
                   &#x27;2025-11-21 16:15:10.822000&#x27;, &#x27;2025-11-21 17:15:10.822000&#x27;,
                   &#x27;2025-11-21 18:15:10.822000&#x27;, &#x27;2025-11-21 19:15:10.822000&#x27;,
                   &#x27;2025-11-21 20:15:10.822000&#x27;, &#x27;2025-11-21 21:15:10.822000&#x27;,
                   &#x27;2025-11-21 22:15:10.822000&#x27;, &#x27;2025-11-21 23:15:10.822000&#x27;,
                   &#x27;2025-11-22 00:15:10.822000&#x27;, &#x27;2025-11-22 01:15:10.822000&#x27;,
                   &#x27;2025-11-22 02:15:10.822000&#x27;, &#x27;2025-11-22 03:15:10.822000&#x27;,
                   &#x27;2025-11-22 04:15:10.822000&#x27;, &#x27;2025-11-22 05:15:10.822000&#x27;,
                   &#x27;2025-11-22 06:15:10.822000&#x27;, &#x27;2025-11-22 07:15:10.822000&#x27;,
                   &#x27;2025-11-22 08:15:10.822000&#x27;, &#x27;2025-11-22 09:15:10.822000&#x27;,
                   &#x27;2025-11-22 10:15:10.822000&#x27;, &#x27;2025-11-22 11:15:10.822000&#x27;,
                   &#x27;2025-11-22 12:15:10.822000&#x27;, &#x27;2025-11-22 13:15:10.822000&#x27;,
                   &#x27;2025-11-22 14:15:10.822000&#x27;, &#x27;2025-11-22 15:15:10.822000&#x27;,
                   &#x27;2025-11-22 16:15:10.822000&#x27;],
                  dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=&#x27;h&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-85600b11-d54d-4c67-a29a-bea1105af36a' class='xr-section-summary-in' type='checkbox'  ><label for='section-85600b11-d54d-4c67-a29a-bea1105af36a' class='xr-section-summary' >Attributes: <span>(165)</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 2025-11-27 16:15:15.138287</dd><dt><span>date_created :</span></dt><dd>2025-11-27T16:15:15.138308</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;global_landmask&#x27;])</dd><dt><span>time_coverage_start :</span></dt><dd>2025-11-20 16:15:10.822000</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: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:horizontal_diffusivity :</span></dt><dd>10.0</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>1.14.6</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>2025-11-20 16:15:10.822000</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>2025-11-27 16:15:15.152560</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_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>2025-11-22 16:15:10.822000</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:
    --------------------
    global_landmask
     0:00:01.7  total
     0:00:00.0  preparing
     0:00:01.6  reading
     0:00:00.0  masking
    --------------------
    https://thredds.met.no/thredds/dodsC/fou-hi/barents_eps_zdepth_be
     0:01:50.1  total
     0:00:00.0  preparing
     0:01:49.5  reading
     0:00:00.9  interpolation
     0:00:00.1  interpolation_time
     0:00:00.6  rotating vectors
     0:00:00.0  masking
    --------------------
    Performance:
     2:08.7 total time
        4.3 configuration
        0.0 preparing main loop
          0.0 moving elements to ocean
     2:04.3 main loop
          4.7 updating elements
            0.0 oil weathering
              0.0 updating viscosities
              0.0 updating densities
            4.4 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>79.50525</dd><dt><span>geospatial_lat_max :</span></dt><dd>79.71514</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>18.193964</dd><dt><span>geospatial_lon_max :</span></dt><dd>19.27723</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>0:02:08.704317</dd><dt><span>geospatial_vertical_min :</span></dt><dd>-147.34338</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:
    --------------------
    global_landmask
     0:00:01.7  total
     0:00:00.0  preparing
     0:00:01.6  reading
     0:00:00.0  masking
    --------------------
    https://thredds.met.no/thredds/dodsC/fou-hi/barents_eps_zdepth_be
     0:01:50.1  total
     0:00:00.0  preparing
     0:01:49.5  reading
     0:00:00.9  interpolation
     0:00:00.1  interpolation_time
     0:00:00.6  rotating vectors
     0:00:00.0  masking
    --------------------
    Performance:
     2:08.7 total time
        4.3 configuration
        0.0 preparing main loop
          0.0 moving elements to ocean
     2:04.3 main loop
          4.7 updating elements
            0.0 oil weathering
              0.0 updating viscosities
              0.0 updating densities
            4.4 vertical mixing
        0.0 cleaning up
    --------------------
    ===========================
    Model:  OpenOil     (OpenDrift version 1.14.6)
            634 active Oil particles  (2366 deactivated, 0 scheduled)
    -------------------
    Environment variables:
      -----
      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: 2025-11-20 16:15:10.822000 UTC
            Present: 2025-11-22 16:15:10.822000 UTC
            Calculation steps: 96 * 0:30:00 - total time: 2 days, 0:00:00
            Output steps: 49 * 1:00:00
    ===========================

    16:17:31 INFO    opendrift:4651: Saving animation to /root/project/docs/source/gallery/animations/example_oil_ice_0.gif...
    16:18:09 INFO    opendrift:3086: Time to make animation: 0:00:50.207624




.. 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) 2025-11-20 16:15 to 2025-11-22 16:15 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)\n2025-11-20 16:15 to 2025-11-22 16:15 UTC (49 steps)'}>, <Figure size 612.572x1100 with 2 Axes>)




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

   **Total running time of the script:** (3 minutes 13.661 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>`_