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

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

.. _sphx_glr_gallery_example_oil_budget_noaa.py:


Oil budget (NOAA)
==================================

.. GENERATED FROM PYTHON SOURCE LINES 6-27

.. code-block:: Python


    from datetime import datetime
    from opendrift import test_data_folder as tdf
    from opendrift.readers import reader_netCDF_CF_generic
    from opendrift.models.openoil import OpenOil

    o = OpenOil(loglevel=20, weathering_model='noaa')

    # Using constand wind and current
    #o.set_config('environment:fallback:x_wind', 7)
    #o.set_config('environment:fallback:x_sea_water_velocity', .7)
    #o.set_config('environment:fallback:y_sea_water_velocity', .3)
    #o.set_config('environment:fallback:land_binary_mask', 0)

    # Arome atmospheric model
    reader_arome = reader_netCDF_CF_generic.Reader(tdf + '16Nov2015_NorKyst_z_surface/arome_subset_16Nov2015.nc')
    # Norkyst ocean model
    reader_norkyst = reader_netCDF_CF_generic.Reader(tdf + '16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc')

    o.add_reader([reader_arome, reader_norkyst])





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

 .. code-block:: none

    17:14:01 INFO    opendrift:513: OpenDriftSimulation initialised (version 1.14.2 / v1.14.2-88-gf09b7bd)
    17:14:01 INFO    opendrift.readers:61: Opening file with xr.open_dataset
    17:14:01 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'time': 'time', 'x': 'x', 'y': 'y'}
    17:14:01 INFO    opendrift.readers:61: Opening file with xr.open_dataset
    17:14:01 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'x': 'X', 'y': 'Y', 'z': 'depth', 'time': 'time'}




.. GENERATED FROM PYTHON SOURCE LINES 28-29

Adjusting some configuration

.. GENERATED FROM PYTHON SOURCE LINES 29-34

.. code-block:: Python

    o.set_config('processes:dispersion', False)
    o.set_config('processes:evaporation', True)
    o.set_config('processes:emulsification', True)
    o.set_config('drift:vertical_mixing', True)








.. GENERATED FROM PYTHON SOURCE LINES 35-36

Seeding some oil particles

.. GENERATED FROM PYTHON SOURCE LINES 36-40

.. code-block:: Python

    oil_type='MARTIN LINGE CRUDE 2016'
    o.seed_elements(lon=4.88, lat=60.1, z=0, radius=3000, number=500,
                    time=reader_norkyst.start_time, oil_type=oil_type)





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

 .. code-block:: none

    17:14:01 INFO    opendrift.models.openoil.adios.dirjs:86: Querying ADIOS database for oil: MARTIN LINGE CRUDE 2016
    17:14:01 INFO    opendrift.models.openoil.openoil:1717: Using density 930.00252 and viscosity 0.0004141770017829454 of oiltype MARTIN LINGE CRUDE 2016
    17:14:01 INFO    opendrift.models.basemodel.environment:206: Adding a global landmask from GSHHG
    17:14:05 INFO    opendrift.models.basemodel.environment:229: Fallback values will be used for the following variables which have no readers: 
    17:14:05 INFO    opendrift.models.basemodel.environment:232:    sea_surface_height: 0.000000
    17:14:05 INFO    opendrift.models.basemodel.environment:232:    upward_sea_water_velocity: 0.000000
    17:14:05 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_significant_height: 0.000000
    17:14:05 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_stokes_drift_x_velocity: 0.000000
    17:14:05 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_stokes_drift_y_velocity: 0.000000
    17:14:05 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_period_at_variance_spectral_density_maximum: 0.000000
    17:14:05 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment: 0.000000
    17:14:05 INFO    opendrift.models.basemodel.environment:232:    sea_ice_area_fraction: 0.000000
    17:14:05 INFO    opendrift.models.basemodel.environment:232:    sea_ice_x_velocity: 0.000000
    17:14:05 INFO    opendrift.models.basemodel.environment:232:    sea_ice_y_velocity: 0.000000
    17:14:05 INFO    opendrift.models.basemodel.environment:232:    sea_water_temperature: 10.000000
    17:14:05 INFO    opendrift.models.basemodel.environment:232:    sea_water_salinity: 34.000000
    17:14:05 INFO    opendrift.models.basemodel.environment:232:    sea_floor_depth_below_sea_level: 10000.000000
    17:14:05 INFO    opendrift.models.basemodel.environment:232:    ocean_vertical_diffusivity: 0.020000
    17:14:05 INFO    opendrift.models.basemodel.environment:232:    ocean_mixed_layer_thickness: 50.000000




.. GENERATED FROM PYTHON SOURCE LINES 41-42

Running model

.. GENERATED FROM PYTHON SOURCE LINES 42-44

.. code-block:: Python

    o.run(steps=4*24, time_step=900, time_step_output=3600)





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

 .. code-block:: none

    17:14:05 INFO    opendrift:1732: Skipping environment variable upward_sea_water_velocity because of condition ['drift:vertical_advection', 'is', False]
    17:14:05 INFO    opendrift:1743: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
    17:14:05 INFO    opendrift:1743: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
    17:14:05 INFO    opendrift:899: Using existing reader for land_binary_mask
    17:14:05 INFO    opendrift:928: All points are in ocean
    17:14:05 INFO    opendrift.models.openoil.openoil:692: Oil-water surface tension is 0.033729 Nm
    17:14:05 INFO    opendrift.models.openoil.openoil:701: Using max water fractions [0.72, 0.78] for temperatures [5.0, 15.0] for oiltype MARTIN LINGE CRUDE 2016
    17:14:05 INFO    opendrift.models.openoil.openoil:702: Corresponding max water fraction from GNOME is 0.731347796266117
    17:14:05 INFO    opendrift:2035: 2015-11-16 00:00:00 - step 1 of 96 - 500 active elements (0 deactivated)
    17:14:06 INFO    opendrift:2035: 2015-11-16 00:15:00 - step 2 of 96 - 500 active elements (0 deactivated)
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    17:14:09 INFO    opendrift:2035: 2015-11-16 09:45:00 - step 40 of 96 - 500 active elements (0 deactivated)
    17:14:09 WARNING opendrift.readers.basereader.structured:326: Data block from /root/project/tests/test_data/16Nov2015_NorKyst_z_surface/arome_subset_16Nov2015.nc not large enough to cover element positions within timestep. Buffer size (4) must be increased. See `Variables.set_buffer_size`.
    17:14:09 INFO    opendrift:2035: 2015-11-16 10:00:00 - step 41 of 96 - 500 active elements (0 deactivated)
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    .xr-attrs dt,
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      background: var(--xr-background-color);
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      fill: currentColor;
    }

    .xr-var-attrs-in:checked + label > .xr-icon-file-text2,
    .xr-var-data-in:checked + label > .xr-icon-database,
    .xr-index-data-in:checked + label > .xr-icon-database {
      color: var(--xr-font-color0);
      filter: drop-shadow(1px 1px 5px var(--xr-font-color2));
      stroke-width: 0.8px;
    }
    </style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 2MB
    Dimensions:                                                                              (
                                                                                              trajectory: 500,
                                                                                              time: 25)
    Coordinates:
      * trajectory                                                                           (trajectory) int64 4kB ...
      * time                                                                                 (time) datetime64[ns] 200B ...
    Data variables: (12/43)
        status                                                                               (trajectory, time) float32 50kB ...
        moving                                                                               (trajectory, time) float32 50kB ...
        age_seconds                                                                          (trajectory, time) float32 50kB ...
        origin_marker                                                                        (trajectory, time) float32 50kB ...
        lon                                                                                  (trajectory, time) float32 50kB ...
        lat                                                                                  (trajectory, time) float32 50kB ...
        ...                                                                                   ...
        sea_water_temperature                                                                (trajectory, time) float32 50kB ...
        sea_water_salinity                                                                   (trajectory, time) float32 50kB ...
        sea_floor_depth_below_sea_level                                                      (trajectory, time) float32 50kB ...
        ocean_vertical_diffusivity                                                           (trajectory, time) float32 50kB ...
        land_binary_mask                                                                     (trajectory, time) float32 50kB ...
        ocean_mixed_layer_thickness                                                          (trajectory, time) float32 50kB ...
    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-be51dc87-4609-45df-8143-1c6c819ee025' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-be51dc87-4609-45df-8143-1c6c819ee025' 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>: 500</li><li><span class='xr-has-index'>time</span>: 25</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b9a2e7b0-f818-40d4-a729-091efd313efb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b9a2e7b0-f818-40d4-a729-091efd313efb' 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 5 ... 495 496 497 498 499</div><input id='attrs-ed5c88be-9f23-4a05-a9ad-68a88bb6d6e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed5c88be-9f23-4a05-a9ad-68a88bb6d6e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e991e16-cff0-4ba7-9de1-73d22d51591b' class='xr-var-data-in' type='checkbox'><label for='data-7e991e16-cff0-4ba7-9de1-73d22d51591b' 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, ..., 497, 498, 499], shape=(500,))</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'>2015-11-16 ... 2015-11-17</div><input id='attrs-afaae8b2-8f07-48a9-871a-aa7354d2d059' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-afaae8b2-8f07-48a9-871a-aa7354d2d059' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ee4abd7-2334-4ac8-954f-8aed29c5984a' class='xr-var-data-in' type='checkbox'><label for='data-0ee4abd7-2334-4ac8-954f-8aed29c5984a' 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;2015-11-16T00:00:00.000000000&#x27;, &#x27;2015-11-16T01:00:00.000000000&#x27;,
           &#x27;2015-11-16T02:00:00.000000000&#x27;, &#x27;2015-11-16T03:00:00.000000000&#x27;,
           &#x27;2015-11-16T04:00:00.000000000&#x27;, &#x27;2015-11-16T05:00:00.000000000&#x27;,
           &#x27;2015-11-16T06:00:00.000000000&#x27;, &#x27;2015-11-16T07:00:00.000000000&#x27;,
           &#x27;2015-11-16T08:00:00.000000000&#x27;, &#x27;2015-11-16T09:00:00.000000000&#x27;,
           &#x27;2015-11-16T10:00:00.000000000&#x27;, &#x27;2015-11-16T11:00:00.000000000&#x27;,
           &#x27;2015-11-16T12:00:00.000000000&#x27;, &#x27;2015-11-16T13:00:00.000000000&#x27;,
           &#x27;2015-11-16T14:00:00.000000000&#x27;, &#x27;2015-11-16T15:00:00.000000000&#x27;,
           &#x27;2015-11-16T16:00:00.000000000&#x27;, &#x27;2015-11-16T17:00:00.000000000&#x27;,
           &#x27;2015-11-16T18:00:00.000000000&#x27;, &#x27;2015-11-16T19:00:00.000000000&#x27;,
           &#x27;2015-11-16T20:00:00.000000000&#x27;, &#x27;2015-11-16T21:00:00.000000000&#x27;,
           &#x27;2015-11-16T22:00:00.000000000&#x27;, &#x27;2015-11-16T23:00:00.000000000&#x27;,
           &#x27;2015-11-17T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5e3ec4aa-1c2d-4700-86c6-f7b07a32e4f1' class='xr-section-summary-in' type='checkbox'  ><label for='section-5e3ec4aa-1c2d-4700-86c6-f7b07a32e4f1' 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 ... 0.0 0.0 0.0 0.0</div><input id='attrs-83b53afc-63b7-491c-90d5-2bf947b98a5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-83b53afc-63b7-491c-90d5-2bf947b98a5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b57ed83e-e4e8-48cf-b66e-c5f972a36fa4' class='xr-var-data-in' type='checkbox'><label for='data-b57ed83e-e4e8-48cf-b66e-c5f972a36fa4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.int32&#x27;&gt;</dd><dt><span>valid_range :</span></dt><dd>[0 1]</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>active stranded</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ...,  0.,  1., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.]],
          shape=(500, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>moving</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.0 1.0 1.0 1.0 ... 1.0 1.0 1.0 1.0</div><input id='attrs-ca0f2393-e447-4521-9b94-c35a7295d9aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca0f2393-e447-4521-9b94-c35a7295d9aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-781b7c70-a08f-43c0-9c57-7a05c9f6915f' class='xr-var-data-in' type='checkbox'><label for='data-781b7c70-a08f-43c0-9c57-7a05c9f6915f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.int32&#x27;&gt;</dd><dt><span>minval :</span></dt><dd>0</dd><dt><span>maxval :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ..., nan, nan, nan],
           ...,
           [ 1.,  1.,  1., ...,  1.,  0., nan],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.]],
          shape=(500, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>age_seconds</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 3.6e+03 ... 8.28e+04 8.64e+04</div><input id='attrs-361d9fc3-1c7b-41f4-8d60-4e57fde2ef2e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-361d9fc3-1c7b-41f4-8d60-4e57fde2ef2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b83a8fd6-24ec-4ecd-99cb-de22749515fb' class='xr-var-data-in' type='checkbox'><label for='data-b83a8fd6-24ec-4ecd-99cb-de22749515fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>s</dd><dt><span>minval :</span></dt><dd>0.0</dd><dt><span>maxval :</span></dt><dd>86400.0</dd></dl></div><div class='xr-var-data'><pre>array([[    0.,  3600.,  7200., ..., 79200., 82800., 86400.],
           [    0.,  3600.,  7200., ..., 79200., 82800., 86400.],
           [    0.,  3600.,  7200., ...,    nan,    nan,    nan],
           ...,
           [    0.,  3600.,  7200., ..., 79200., 80100.,    nan],
           [    0.,  3600.,  7200., ..., 79200., 82800., 86400.],
           [    0.,  3600.,  7200., ..., 79200., 82800., 86400.]],
          shape=(500, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>origin_marker</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-01bb9fdb-bea8-41d4-8a9e-1c698c70dcd8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01bb9fdb-bea8-41d4-8a9e-1c698c70dcd8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11e69bb6-08e7-4ef2-8f73-7f97645a7ab1' class='xr-var-data-in' type='checkbox'><label for='data-11e69bb6-08e7-4ef2-8f73-7f97645a7ab1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.int32&#x27;&gt;</dd><dt><span>unit :</span></dt><dd></dd><dt><span>description :</span></dt><dd>An integer kept constant during the simulation. Different values may be used for different seedings, to separate elements during analysis. With GUI, only a single seeding is possible.</dd><dt><span>flag_values :</span></dt><dd>[0]</dd><dt><span>flag_meanings :</span></dt><dd>Seed_0</dd><dt><span>minval :</span></dt><dd>0</dd><dt><span>maxval :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ...,  0.,  0., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.]],
          shape=(500, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>4.975 4.969 4.963 ... 4.676 4.663</div><input id='attrs-f4ac0290-a862-47da-a22b-c2ebc65f0b7f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4ac0290-a862-47da-a22b-c2ebc65f0b7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9829411c-505a-4764-9320-5180202338a3' class='xr-var-data-in' type='checkbox'><label for='data-9829411c-505a-4764-9320-5180202338a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>minval :</span></dt><dd>4.4469266</dd><dt><span>maxval :</span></dt><dd>5.0402193</dd></dl></div><div class='xr-var-data'><pre>array([[4.975158 , 4.968775 , 4.962656 , ..., 4.7276616, 4.7218227,
            4.715893 ],
           [4.9015784, 4.9102955, 4.9198585, ..., 4.8408017, 4.848838 ,
            4.8646626],
           [4.932827 , 4.9214373, 4.9235563, ...,       nan,       nan,
                  nan],
           ...,
           [4.8522673, 4.8581724, 4.8690076, ..., 4.827218 , 4.829479 ,
                  nan],
           [4.8251524, 4.8208346, 4.834103 , ..., 4.693828 , 4.679448 ,
            4.664996 ],
           [4.875803 , 4.8692045, 4.8652296, ..., 4.6919146, 4.6758494,
            4.6628733]], shape=(500, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>60.11 60.12 60.12 ... 60.56 60.58</div><input id='attrs-8573ffab-f4bd-4205-a2c0-8cf4c1ceee9c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8573ffab-f4bd-4205-a2c0-8cf4c1ceee9c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b0d512d-79bd-4587-ab67-1b26d4d46621' class='xr-var-data-in' type='checkbox'><label for='data-0b0d512d-79bd-4587-ab67-1b26d4d46621' 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>60.00772</dd><dt><span>maxval :</span></dt><dd>60.871876</dd></dl></div><div class='xr-var-data'><pre>array([[60.11027 , 60.115578, 60.119286, ..., 60.516834, 60.540115,
            60.561726],
           [60.099075, 60.105465, 60.110363, ..., 60.409355, 60.430466,
            60.4473  ],
           [60.12951 , 60.139515, 60.146072, ...,       nan,       nan,
                  nan],
           ...,
           [60.102535, 60.12239 , 60.13722 , ..., 60.493855, 60.493855,
                  nan],
           [60.069088, 60.09416 , 60.113125, ..., 60.535675, 60.55918 ,
            60.581936],
           [60.09036 , 60.108593, 60.12761 , ..., 60.534   , 60.557693,
            60.581787]], shape=(500, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 -11.16 -29.32 ... -15.32 -9.715</div><input id='attrs-ec4f9a56-2773-46c6-b719-c6eb5a481086' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec4f9a56-2773-46c6-b719-c6eb5a481086' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a99d61a4-fd94-49f5-878f-8b588f6eef3e' class='xr-var-data-in' type='checkbox'><label for='data-a99d61a4-fd94-49f5-878f-8b588f6eef3e' 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>-49.746788</dd><dt><span>maxval :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[  0.       , -11.162578 , -29.318014 , ..., -33.10414  ,
            -34.722626 ,  -8.768578 ],
           [  0.       , -19.127098 ,  -2.3651798, ..., -17.059036 ,
            -18.951172 , -26.208735 ],
           [  0.       ,   0.       ,  -4.155464 , ...,         nan,
                    nan,         nan],
           ...,
           [  0.       , -22.113598 , -23.512888 , ...,  -8.239883 ,
            -15.164647 ,         nan],
           [  0.       ,   0.       , -16.128305 , ..., -38.198048 ,
            -31.23227  , -48.356766 ],
           [  0.       ,   0.       ,   0.       , ...,  -0.9865185,
            -15.3154125,  -9.714731 ]], shape=(500, 25), 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 0.03 0.03</div><input id='attrs-5b9d365b-bb5e-4421-875c-35772524ceaa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b9d365b-bb5e-4421-875c-35772524ceaa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f5b7e54-15c5-427f-a9aa-08eff3ded66a' class='xr-var-data-in' type='checkbox'><label for='data-1f5b7e54-15c5-427f-a9aa-08eff3ded66a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>description :</span></dt><dd>Elements at the ocean surface are moved by this fraction of the wind vector, in addition to currents and Stokes drift</dd><dt><span>minval :</span></dt><dd>0.03</dd><dt><span>maxval :</span></dt><dd>0.03</dd></dl></div><div class='xr-var-data'><pre>array([[0.03, 0.03, 0.03, ..., 0.03, 0.03, 0.03],
           [0.03, 0.03, 0.03, ..., 0.03, 0.03, 0.03],
           [0.03, 0.03, 0.03, ...,  nan,  nan,  nan],
           ...,
           [0.03, 0.03, 0.03, ..., 0.03, 0.03,  nan],
           [0.03, 0.03, 0.03, ..., 0.03, 0.03, 0.03],
           [0.03, 0.03, 0.03, ..., 0.03, 0.03, 0.03]],
          shape=(500, 25), 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 ... 1.0 1.0 1.0 1.0</div><input id='attrs-820f9e5b-7038-4cc3-9a0e-8d5bed4302f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-820f9e5b-7038-4cc3-9a0e-8d5bed4302f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9bd73d7-e7ab-492c-8496-89bbb3119f6f' class='xr-var-data-in' type='checkbox'><label for='data-b9bd73d7-e7ab-492c-8496-89bbb3119f6f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>description :</span></dt><dd>Elements are moved with this fraction of the current vector, in addition to currents and Stokes drift</dd><dt><span>minval :</span></dt><dd>1.0</dd><dt><span>maxval :</span></dt><dd>1.0</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ..., nan, nan, nan],
           ...,
           [ 1.,  1.,  1., ...,  1.,  1., nan],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.]],
          shape=(500, 25), 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 8.312e-05 ... 0.0002288</div><input id='attrs-8a7f206f-bf86-4f17-8ac2-901538077eeb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a7f206f-bf86-4f17-8ac2-901538077eeb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20508f43-8048-4735-aff9-158f3b0257fb' class='xr-var-data-in' type='checkbox'><label for='data-20508f43-8048-4735-aff9-158f3b0257fb' 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>0.085561894</dd></dl></div><div class='xr-var-data'><pre>array([[0.0000000e+00, 8.3120431e-05, 8.3120431e-05, ..., 8.3120431e-05,
            8.3120431e-05, 8.3120431e-05],
           [0.0000000e+00, 5.0435535e-04, 5.0435535e-04, ..., 5.0435535e-04,
            5.0435535e-04, 5.0435535e-04],
           [0.0000000e+00, 7.3401995e-02, 1.9722840e-02, ...,           nan,
                      nan,           nan],
           ...,
           [0.0000000e+00, 1.6961495e-03, 1.6961495e-03, ..., 2.7613207e-03,
            2.0276832e-03,           nan],
           [0.0000000e+00, 1.0107164e-03, 1.1574172e-03, ..., 9.3781491e-05,
            9.3781491e-05, 6.4268505e-04],
           [0.0000000e+00, 8.1482500e-02, 6.4513095e-02, ..., 2.2880796e-04,
            2.2880796e-04, 2.2880796e-04]], shape=(500, 25), 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'>1.86 1.831 1.831 ... 1.809 1.809</div><input id='attrs-ba269d5d-d998-4f62-95f7-a642f156e519' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba269d5d-d998-4f62-95f7-a642f156e519' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae1ab7d4-f07b-42e0-8a74-fef23350f210' class='xr-var-data-in' type='checkbox'><label for='data-ae1ab7d4-f07b-42e0-8a74-fef23350f210' 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>1.7840031</dd><dt><span>maxval :</span></dt><dd>1.860005</dd></dl></div><div class='xr-var-data'><pre>array([[1.860005 , 1.8310448, 1.8310448, ..., 1.8310448, 1.8310448,
            1.8310448],
           [1.860005 , 1.8298703, 1.8298703, ..., 1.8298703, 1.8298703,
            1.8298703],
           [1.860005 , 1.8230244, 1.8187217, ...,       nan,       nan,
                  nan],
           ...,
           [1.860005 , 1.8243172, 1.8243172, ..., 1.8188796, 1.8188796,
                  nan],
           [1.860005 , 1.8211133, 1.8188326, ..., 1.8188326, 1.8188326,
            1.8188326],
           [1.860005 , 1.8219367, 1.8161147, ..., 1.8087041, 1.8087041,
            1.8087041]], shape=(500, 25), 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'>0.0004142 0.0005688 ... 0.0006413</div><input id='attrs-7f4271bd-0aa8-438a-9dc2-7b506f371b43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f4271bd-0aa8-438a-9dc2-7b506f371b43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5695da08-7206-4a02-aaad-e3e101778cdf' class='xr-var-data-in' type='checkbox'><label for='data-5695da08-7206-4a02-aaad-e3e101778cdf' 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>0.000414177</dd><dt><span>maxval :</span></dt><dd>0.0007324259</dd></dl></div><div class='xr-var-data'><pre>array([[0.00041418, 0.00056876, 0.00056876, ..., 0.00056876, 0.00056876,
            0.00056876],
           [0.00041418, 0.00057236, 0.00057236, ..., 0.00057236, 0.00057236,
            0.00057236],
           [0.00041418, 0.00058337, 0.00060771, ...,        nan,        nan,
                   nan],
           ...,
           [0.00041418, 0.0005897 , 0.0005897 , ..., 0.0006072 , 0.0006072 ,
                   nan],
           [0.00041418, 0.00059048, 0.00060735, ..., 0.00060735, 0.00060735,
            0.00060735],
           [0.00041418, 0.00058824, 0.00061629, ..., 0.00064134, 0.00064134,
            0.00064134]], shape=(500, 25), 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'>930.0 930.0 930.0 ... 930.0 930.0</div><input id='attrs-605f2faf-89ef-4671-8c5b-90d0d93f6d74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-605f2faf-89ef-4671-8c5b-90d0d93f6d74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9539ad87-ccd6-4be7-b262-b2e2144204a5' class='xr-var-data-in' type='checkbox'><label for='data-9539ad87-ccd6-4be7-b262-b2e2144204a5' 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>930.0025</dd><dt><span>maxval :</span></dt><dd>930.004</dd></dl></div><div class='xr-var-data'><pre>array([[930.0025, 930.004 , 930.004 , ..., 930.004 , 930.004 , 930.004 ],
           [930.0025, 930.004 , 930.004 , ..., 930.004 , 930.004 , 930.004 ],
           [930.0025, 930.004 , 930.004 , ...,      nan,      nan,      nan],
           ...,
           [930.0025, 930.004 , 930.004 , ..., 930.004 , 930.004 ,      nan],
           [930.0025, 930.004 , 930.004 , ..., 930.004 , 930.004 , 930.004 ],
           [930.0025, 930.004 , 930.004 , ..., 930.004 , 930.004 , 930.004 ]],
          shape=(500, 25), 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 ... 0.0 0.0 0.0 0.0</div><input id='attrs-641aecfb-c21f-4528-946c-680f83ddbefd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-641aecfb-c21f-4528-946c-680f83ddbefd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1f48471-3aba-41c9-b5ca-563f95bf673c' class='xr-var-data-in' type='checkbox'><label for='data-c1f48471-3aba-41c9-b5ca-563f95bf673c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>s</dd><dt><span>minval :</span></dt><dd>0.0</dd><dt><span>maxval :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ...,  0.,  0., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.]],
          shape=(500, 25), 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 ... 0.0 0.0 0.0 0.0</div><input id='attrs-b58342d7-f34e-4700-85cb-8a037c3bd487' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b58342d7-f34e-4700-85cb-8a037c3bd487' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f83de7ab-a30f-4f47-8180-8c6b90750867' class='xr-var-data-in' type='checkbox'><label for='data-f83de7ab-a30f-4f47-8180-8c6b90750867' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>m2</dd><dt><span>minval :</span></dt><dd>0.0</dd><dt><span>maxval :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ...,  0.,  0., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.]],
          shape=(500, 25), 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 ... 0.0 0.0 0.0 0.0</div><input id='attrs-e68e9163-c4e9-451a-803c-2f7cb4a1aefc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e68e9163-c4e9-451a-803c-2f7cb4a1aefc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed6b8126-bd6c-4f34-bdf7-6d1ae46bba91' class='xr-var-data-in' type='checkbox'><label for='data-ed6b8126-bd6c-4f34-bdf7-6d1ae46bba91' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>kg</dd><dt><span>minval :</span></dt><dd>0.0</dd><dt><span>maxval :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ...,  0.,  0., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.]],
          shape=(500, 25), 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 0.02896 ... 0.0513 0.0513</div><input id='attrs-2ccdaf7c-7438-401d-b190-cfaccd2cbc76' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ccdaf7c-7438-401d-b190-cfaccd2cbc76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d00c01f-89df-4602-8052-71686deb6557' class='xr-var-data-in' type='checkbox'><label for='data-5d00c01f-89df-4602-8052-71686deb6557' 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>0.07600189</dd></dl></div><div class='xr-var-data'><pre>array([[0.        , 0.02896026, 0.02896026, ..., 0.02896026, 0.02896026,
            0.02896026],
           [0.        , 0.03013473, 0.03013473, ..., 0.03013473, 0.03013473,
            0.03013473],
           [0.        , 0.03698065, 0.04128343, ...,        nan,        nan,
                   nan],
           ...,
           [0.        , 0.03568776, 0.03568776, ..., 0.04112542, 0.04112542,
                   nan],
           [0.        , 0.03889165, 0.04117237, ..., 0.04117237, 0.04117237,
            0.04117237],
           [0.        , 0.03806825, 0.04389042, ..., 0.05130093, 0.05130093,
            0.05130093]], shape=(500, 25), 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 ... 0.0 0.0 0.0 0.0</div><input id='attrs-3cb44dd2-0b63-4f08-8731-dead5dfa7130' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3cb44dd2-0b63-4f08-8731-dead5dfa7130' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-761620e9-5519-47ef-ade2-d21d58e326ce' class='xr-var-data-in' type='checkbox'><label for='data-761620e9-5519-47ef-ade2-d21d58e326ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>kg</dd><dt><span>minval :</span></dt><dd>0.0</dd><dt><span>maxval :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ...,  0.,  0., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.]],
          shape=(500, 25), 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 ... 1.0 1.0 1.0 1.0</div><input id='attrs-d76fead2-79af-44e8-b494-86de61d11394' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d76fead2-79af-44e8-b494-86de61d11394' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d38b9bfa-99b6-490b-b88f-dc6e50e8ea81' class='xr-var-data-in' type='checkbox'><label for='data-d38b9bfa-99b6-490b-b88f-dc6e50e8ea81' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>Days</dd><dt><span>description :</span></dt><dd>Biodegradation half time in days for submerged oil droplets</dd><dt><span>minval :</span></dt><dd>1.0</dd><dt><span>maxval :</span></dt><dd>1.0</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ..., nan, nan, nan],
           ...,
           [ 1.,  1.,  1., ...,  1.,  1., nan],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.]],
          shape=(500, 25), 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 ... 3.0 3.0 3.0 3.0</div><input id='attrs-f9d5cfc6-02cd-4302-a089-48a44ce43f62' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9d5cfc6-02cd-4302-a089-48a44ce43f62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8c17949-f5e7-4cb6-b864-4666520f9cf5' class='xr-var-data-in' type='checkbox'><label for='data-c8c17949-f5e7-4cb6-b864-4666520f9cf5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>Days</dd><dt><span>description :</span></dt><dd>Biodegradation half time in days for surface oil slick</dd><dt><span>minval :</span></dt><dd>3.0</dd><dt><span>maxval :</span></dt><dd>3.0</dd></dl></div><div class='xr-var-data'><pre>array([[ 3.,  3.,  3., ...,  3.,  3.,  3.],
           [ 3.,  3.,  3., ...,  3.,  3.,  3.],
           [ 3.,  3.,  3., ..., nan, nan, nan],
           ...,
           [ 3.,  3.,  3., ...,  3.,  3., nan],
           [ 3.,  3.,  3., ...,  3.,  3.,  3.],
           [ 3.,  3.,  3., ...,  3.,  3.,  3.]],
          shape=(500, 25), 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 0.01557 ... 0.02758 0.02758</div><input id='attrs-1a9cc3f6-da26-40f3-99af-99e3a52d5edc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1a9cc3f6-da26-40f3-99af-99e3a52d5edc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db91be7f-805c-4bb3-a06d-34426a172515' class='xr-var-data-in' type='checkbox'><label for='data-db91be7f-805c-4bb3-a06d-34426a172515' 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>0.04086112</dd></dl></div><div class='xr-var-data'><pre>array([[0.        , 0.01556999, 0.01556999, ..., 0.01556999, 0.01556999,
            0.01556999],
           [0.        , 0.01620143, 0.01620143, ..., 0.01620143, 0.01620143,
            0.01620143],
           [0.        , 0.01810764, 0.02219533, ...,        nan,        nan,
                   nan],
           ...,
           [0.        , 0.01918692, 0.01918692, ..., 0.02211038, 0.02211038,
                   nan],
           [0.        , 0.01931808, 0.02213562, ..., 0.02213562, 0.02213562,
            0.02213562],
           [0.        , 0.01893921, 0.02359693, ..., 0.02758107, 0.02758107,
            0.02758107]], shape=(500, 25), 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 ... 0.0 0.0 0.0 0.0</div><input id='attrs-2121fde2-1529-4328-827f-4eee0614bf49' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2121fde2-1529-4328-827f-4eee0614bf49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5581513-b6e8-4424-a69e-1122386a3c2c' class='xr-var-data-in' type='checkbox'><label for='data-a5581513-b6e8-4424-a69e-1122386a3c2c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>minval :</span></dt><dd>0.0</dd><dt><span>maxval :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ...,  0.,  0., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.]],
          shape=(500, 25), 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 ... 0.001 0.001</div><input id='attrs-b2ffbd87-6431-4a5d-a0a7-50ad64549c4f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2ffbd87-6431-4a5d-a0a7-50ad64549c4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-678639b3-fd13-4a70-8997-2ae657cdd2d5' class='xr-var-data-in' type='checkbox'><label for='data-678639b3-fd13-4a70-8997-2ae657cdd2d5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>minval :</span></dt><dd>0.001</dd><dt><span>maxval :</span></dt><dd>0.001</dd></dl></div><div class='xr-var-data'><pre>array([[0.001, 0.001, 0.001, ..., 0.001, 0.001, 0.001],
           [0.001, 0.001, 0.001, ..., 0.001, 0.001, 0.001],
           [0.001, 0.001, 0.001, ...,   nan,   nan,   nan],
           ...,
           [0.001, 0.001, 0.001, ..., 0.001, 0.001,   nan],
           [0.001, 0.001, 0.001, ..., 0.001, 0.001, 0.001],
           [0.001, 0.001, 0.001, ..., 0.001, 0.001, 0.001]],
          shape=(500, 25), 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 5.454e-05 ... 9.048e-05</div><input id='attrs-45a16ca7-eafa-44ec-bb7f-8e8e92714202' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45a16ca7-eafa-44ec-bb7f-8e8e92714202' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fae8c6fd-419a-4d4a-9ac6-cf0eda4dbde6' class='xr-var-data-in' type='checkbox'><label for='data-fae8c6fd-419a-4d4a-9ac6-cf0eda4dbde6' 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>0.0029861715</dd></dl></div><div class='xr-var-data'><pre>array([[0.0000000e+00, 5.4535201e-05, 5.4535201e-05, ..., 5.4535201e-05,
            5.4535201e-05, 5.4535201e-05],
           [0.0000000e+00, 1.3433567e-04, 1.3433567e-04, ..., 1.3433567e-04,
            1.3433567e-04, 1.3433567e-04],
           [0.0000000e+00, 2.1977066e-03, 8.4005506e-04, ...,           nan,
                      nan,           nan],
           ...,
           [0.0000000e+00, 2.4635144e-04, 2.4635144e-04, ..., 3.1432684e-04,
            2.6935380e-04,           nan],
           [0.0000000e+00, 1.9016811e-04, 2.0350168e-04, ..., 5.7927075e-05,
            5.7927075e-05, 1.5164292e-04],
           [0.0000000e+00, 2.7082120e-03, 1.6976560e-03, ..., 9.0481255e-05,
            9.0481255e-05, 9.0481255e-05]], shape=(500, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x_sea_water_velocity</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.01505 -0.05216 ... -0.1595</div><input id='attrs-fa7ef8aa-93fb-42f0-9b7b-4e87374a934d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa7ef8aa-93fb-42f0-9b7b-4e87374a934d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dabd667c-1fe4-4623-a4d5-118f6bee7d10' class='xr-var-data-in' type='checkbox'><label for='data-dabd667c-1fe4-4623-a4d5-118f6bee7d10' 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>-0.6062197</dd><dt><span>maxval :</span></dt><dd>0.57105285</dd></dl></div><div class='xr-var-data'><pre>array([[-0.01504615, -0.05216205, -0.11174564, ..., -0.06696887,
             0.00877502, -0.13440254],
           [ 0.25374252,  0.14417566,  0.18853326, ...,  0.04090888,
             0.13329363,  0.29406944],
           [ 0.10097457,  0.15159582,  0.07165246, ...,         nan,
                    nan,         nan],
           ...,
           [ 0.23844036,  0.20339642,  0.07718733, ...,  0.13807109,
             0.10075099,         nan],
           [ 0.14858691,  0.2836607 ,  0.21604359, ..., -0.22352368,
            -0.18035507, -0.2192165 ],
           [ 0.16489094,  0.10318924,  0.09775437, ..., -0.20805313,
            -0.20600222, -0.159523  ]], shape=(500, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y_sea_water_velocity</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.09734 0.1155 ... 0.7165 0.7487</div><input id='attrs-ed3abdb5-7514-498e-ada5-6dea0fca5fd0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed3abdb5-7514-498e-ada5-6dea0fca5fd0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-525f85f5-20c3-4b57-a17c-a9a8d70e4f8b' class='xr-var-data-in' type='checkbox'><label for='data-525f85f5-20c3-4b57-a17c-a9a8d70e4f8b' 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>-0.3133294</dd><dt><span>maxval :</span></dt><dd>1.4285332</dd></dl></div><div class='xr-var-data'><pre>array([[0.09733942, 0.11553755, 0.04900148, ..., 0.81151253, 0.7029438 ,
            0.6552775 ],
           [0.14077923, 0.13962981, 0.15377909, ..., 0.5644702 , 0.42307845,
            0.5367244 ],
           [0.15881118, 0.11143284, 0.130765  , ...,        nan,        nan,
                   nan],
           ...,
           [0.4853535 , 0.51082426, 0.43306568, ..., 0.34895262, 0.36404285,
                   nan],
           [0.42777485, 0.57897407, 0.656814  , ..., 0.7123346 , 0.7069106 ,
            0.6382211 ],
           [0.21463431, 0.33122143, 0.4131013 , ..., 0.7402015 , 0.7165307 ,
            0.7487306 ]], shape=(500, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x_wind</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-8.657 -9.664 ... 4.579 4.342</div><input id='attrs-466d9f2c-1fc7-427e-9590-b0f8c9f80550' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-466d9f2c-1fc7-427e-9590-b0f8c9f80550' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95563b5c-7dad-4283-9d0a-3eeb6cf5c9fe' class='xr-var-data-in' type='checkbox'><label for='data-95563b5c-7dad-4283-9d0a-3eeb6cf5c9fe' 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>-15.420801</dd><dt><span>maxval :</span></dt><dd>20.228704</dd></dl></div><div class='xr-var-data'><pre>array([[-8.657231 , -9.663636 , -8.602154 , ...,  4.2987065,  5.5793066,
             3.4605691],
           [-8.152298 , -8.235649 , -8.820007 , ...,  3.4599602,  4.8191166,
             3.6953113],
           [-7.6702156, -9.297897 , -8.674845 , ...,        nan,        nan,
                   nan],
           ...,
           [-7.1102133, -8.534625 , -7.822111 , ...,  3.7568667,  3.4934561,
                   nan],
           [-7.665609 , -8.715018 , -7.661393 , ...,  4.84676  ,  4.5447316,
             4.9641666],
           [-8.061482 , -8.571779 , -8.844334 , ...,  3.9041803,  4.5790496,
             4.3419123]], shape=(500, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y_wind</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>4.204 5.872 9.875 ... 16.21 16.75</div><input id='attrs-dc846745-c309-4a99-83c3-aa676e237756' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc846745-c309-4a99-83c3-aa676e237756' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76e1dafd-da8a-4961-942f-4b11f5af234c' class='xr-var-data-in' type='checkbox'><label for='data-76e1dafd-da8a-4961-942f-4b11f5af234c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>minval :</span></dt><dd>-2.3300326</dd><dt><span>maxval :</span></dt><dd>19.032587</dd></dl></div><div class='xr-var-data'><pre>array([[ 4.2043343,  5.8716364,  9.874812 , ..., 15.511756 , 16.47994  ,
            16.122805 ],
           [ 6.5876226,  7.55544  ,  8.963426 , ..., 15.335941 , 15.362677 ,
            16.502386 ],
           [ 6.1272945,  6.7899103,  8.418847 , ...,        nan,        nan,
                   nan],
           ...,
           [ 7.2361493,  7.373713 ,  9.710795 , ..., 15.351436 , 16.08308  ,
                   nan],
           [ 7.2700877,  9.785741 , 10.748465 , ..., 14.544075 , 16.761116 ,
            16.461037 ],
           [ 7.1522975,  9.068134 ,  9.843968 , ..., 15.0665045, 16.206064 ,
            16.752022 ]], shape=(500, 25), 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'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-3841a37b-4231-4984-b11f-716d1ec18920' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3841a37b-4231-4984-b11f-716d1ec18920' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9dca397-39ee-4fdc-acc0-7df7e2893caf' class='xr-var-data-in' type='checkbox'><label for='data-a9dca397-39ee-4fdc-acc0-7df7e2893caf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>minval :</span></dt><dd>0.0</dd><dt><span>maxval :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ...,  0.,  0., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.]],
          shape=(500, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_surface_wave_significant_height</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.279 3.145 4.219 ... 6.977 7.367</div><input id='attrs-5867eddc-d7df-4763-912f-80f2aa349218' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5867eddc-d7df-4763-912f-80f2aa349218' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb2a2e44-4d22-4815-9e26-33a614e3e921' class='xr-var-data-in' type='checkbox'><label for='data-bb2a2e44-4d22-4815-9e26-33a614e3e921' 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>1.2727776</dd><dt><span>maxval :</span></dt><dd>11.182771</dd></dl></div><div class='xr-var-data'><pre>array([[2.2785523, 3.1454043, 4.219121 , ..., 6.3736987, 7.4468403,
            6.6892405],
           [2.7024755, 3.0728002, 3.8901343, ..., 6.0801954, 6.377199 ,
            7.0352087],
           [2.3708482, 3.2608228, 3.5947957, ...,       nan,       nan,
                  nan],
           ...,
           [2.5317578, 3.1294024, 3.8249302, ..., 6.144603 , 6.6633935,
                  nan],
           [2.7457469, 4.2241216, 4.2859707, ..., 5.781522 , 7.419104 ,
            7.271972 ],
           [2.857114 , 3.8303785, 4.3080983, ..., 5.959158 , 6.976662 ,
            7.367268 ]], shape=(500, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_surface_wave_stokes_drift_x_velocity</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-61370a30-75c7-47a9-9de6-4feb7c9098cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61370a30-75c7-47a9-9de6-4feb7c9098cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8ec1374-0432-456d-a191-208b640054b5' class='xr-var-data-in' type='checkbox'><label for='data-f8ec1374-0432-456d-a191-208b640054b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>minval :</span></dt><dd>0.0</dd><dt><span>maxval :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ...,  0.,  0., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.]],
          shape=(500, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_surface_wave_stokes_drift_y_velocity</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-7a420625-b581-49d7-a6e4-ae227f469ec6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a420625-b581-49d7-a6e4-ae227f469ec6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-030b689b-0210-4a9d-91f7-3ba228f45c5d' class='xr-var-data-in' type='checkbox'><label for='data-030b689b-0210-4a9d-91f7-3ba228f45c5d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>minval :</span></dt><dd>0.0</dd><dt><span>maxval :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ...,  0.,  0., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.]],
          shape=(500, 25), 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 ... 0.0 0.0 0.0 0.0</div><input id='attrs-f51ee857-fe8d-43b7-a966-83f04100d777' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f51ee857-fe8d-43b7-a966-83f04100d777' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78390098-1ba5-46dc-b580-ccc24021e67c' class='xr-var-data-in' type='checkbox'><label for='data-78390098-1ba5-46dc-b580-ccc24021e67c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>minval :</span></dt><dd>0.0</dd><dt><span>maxval :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ...,  0.,  0., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.]],
          shape=(500, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>8.224 9.662 11.19 ... 14.39 14.79</div><input id='attrs-3ab93aa8-b546-4b4f-a7d3-1d6a82a7759d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ab93aa8-b546-4b4f-a7d3-1d6a82a7759d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b0cdd83-9817-4b5c-81d4-e4a6e4ba0e05' class='xr-var-data-in' type='checkbox'><label for='data-0b0cdd83-9817-4b5c-81d4-e4a6e4ba0e05' 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>6.146188</dd><dt><span>maxval :</span></dt><dd>18.218151</dd></dl></div><div class='xr-var-data'><pre>array([[ 8.223545,  9.662017, 11.190269, ..., 13.753883, 14.866735,
            14.090227],
           [ 8.955926,  9.549854, 10.745135, ..., 13.433474, 13.757659,
            14.450007],
           [ 8.388445,  9.837691, 10.329201, ...,       nan,       nan,
                  nan],
           ...,
           [ 8.668435,  9.637409, 10.654702, ..., 13.504437, 14.06298 ,
                  nan],
           [ 9.02734 , 11.1969  , 11.278573, ..., 13.099378, 14.839023,
            14.691147],
           [ 9.208594, 10.662289, 11.30765 , ..., 13.299093, 14.389755,
            14.787093]], shape=(500, 25), 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 ... 0.0 0.0 0.0 0.0</div><input id='attrs-58f54c27-b071-4d7f-938b-8612e797258e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58f54c27-b071-4d7f-938b-8612e797258e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6856f833-169a-44ca-bcbc-a15ee2a54af1' class='xr-var-data-in' type='checkbox'><label for='data-6856f833-169a-44ca-bcbc-a15ee2a54af1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>minval :</span></dt><dd>0.0</dd><dt><span>maxval :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ...,  0.,  0., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.]],
          shape=(500, 25), 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 ... 0.0 0.0 0.0 0.0</div><input id='attrs-960d21c8-72aa-4a32-a43a-f524f12d99fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-960d21c8-72aa-4a32-a43a-f524f12d99fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d155d53-8ec9-45a9-a606-e725e3c7d321' class='xr-var-data-in' type='checkbox'><label for='data-9d155d53-8ec9-45a9-a606-e725e3c7d321' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>minval :</span></dt><dd>0.0</dd><dt><span>maxval :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ...,  0.,  0., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.]],
          shape=(500, 25), 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 ... 0.0 0.0 0.0 0.0</div><input id='attrs-0fccbd75-0749-42fa-aff1-0c2975bb9796' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0fccbd75-0749-42fa-aff1-0c2975bb9796' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6425151-c7fd-441c-b873-529d2c495d32' class='xr-var-data-in' type='checkbox'><label for='data-a6425151-c7fd-441c-b873-529d2c495d32' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>minval :</span></dt><dd>0.0</dd><dt><span>maxval :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ...,  0.,  0., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.]],
          shape=(500, 25), 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'>10.0 10.0 10.0 ... 10.0 10.0 283.1</div><input id='attrs-3d12f7e3-d3d9-4176-967a-ad81bbebee5d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d12f7e3-d3d9-4176-967a-ad81bbebee5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c8ea8c7-aeed-4a47-a892-18089507627b' class='xr-var-data-in' type='checkbox'><label for='data-4c8ea8c7-aeed-4a47-a892-18089507627b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>minval :</span></dt><dd>10.0</dd><dt><span>maxval :</span></dt><dd>283.15</dd></dl></div><div class='xr-var-data'><pre>array([[ 10.  ,  10.  ,  10.  , ...,  10.  ,  10.  , 283.15],
           [ 10.  ,  10.  ,  10.  , ...,  10.  ,  10.  , 283.15],
           [ 10.  ,  10.  ,  10.  , ...,    nan,    nan,    nan],
           ...,
           [ 10.  ,  10.  ,  10.  , ...,  10.  ,  10.  ,    nan],
           [ 10.  ,  10.  ,  10.  , ...,  10.  ,  10.  , 283.15],
           [ 10.  ,  10.  ,  10.  , ...,  10.  ,  10.  , 283.15]],
          shape=(500, 25), 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'>34.0 34.0 34.0 ... 34.0 34.0 34.0</div><input id='attrs-fff9aa9f-92d5-410f-bce8-1f5ca0bd7fc6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fff9aa9f-92d5-410f-bce8-1f5ca0bd7fc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-540f425f-ab08-4bed-a60a-07952835d399' class='xr-var-data-in' type='checkbox'><label for='data-540f425f-ab08-4bed-a60a-07952835d399' 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>34.0</dd><dt><span>maxval :</span></dt><dd>34.0</dd></dl></div><div class='xr-var-data'><pre>array([[34., 34., 34., ..., 34., 34., 34.],
           [34., 34., 34., ..., 34., 34., 34.],
           [34., 34., 34., ..., nan, nan, nan],
           ...,
           [34., 34., 34., ..., 34., 34., nan],
           [34., 34., 34., ..., 34., 34., 34.],
           [34., 34., 34., ..., 34., 34., 34.]],
          shape=(500, 25), 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'>1e+04 1e+04 1e+04 ... 1e+04 1e+04</div><input id='attrs-02957169-0250-452e-918d-c182fae4d5a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02957169-0250-452e-918d-c182fae4d5a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45e96820-ae52-4fbb-b164-315ac66147cb' class='xr-var-data-in' type='checkbox'><label for='data-45e96820-ae52-4fbb-b164-315ac66147cb' 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>10000.0</dd><dt><span>maxval :</span></dt><dd>10000.0</dd></dl></div><div class='xr-var-data'><pre>array([[10000., 10000., 10000., ..., 10000., 10000., 10000.],
           [10000., 10000., 10000., ..., 10000., 10000., 10000.],
           [10000., 10000., 10000., ...,    nan,    nan,    nan],
           ...,
           [10000., 10000., 10000., ..., 10000., 10000.,    nan],
           [10000., 10000., 10000., ..., 10000., 10000., 10000.],
           [10000., 10000., 10000., ..., 10000., 10000., 10000.]],
          shape=(500, 25), 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 0.02 0.02</div><input id='attrs-39770e87-b591-4966-a3fa-fb920838939f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39770e87-b591-4966-a3fa-fb920838939f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ac8da74-5150-4ca9-892e-d90c7fc11be0' class='xr-var-data-in' type='checkbox'><label for='data-8ac8da74-5150-4ca9-892e-d90c7fc11be0' 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>0.02</dd><dt><span>maxval :</span></dt><dd>0.02</dd></dl></div><div class='xr-var-data'><pre>array([[0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ...,  nan,  nan,  nan],
           ...,
           [0.02, 0.02, 0.02, ..., 0.02, 0.02,  nan],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02]],
          shape=(500, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>land_binary_mask</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-c8730eb7-a7ff-48bb-a4ca-b3314f6b7bb9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8730eb7-a7ff-48bb-a4ca-b3314f6b7bb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-729bcb70-ce19-445e-b1c9-47a02746eed5' class='xr-var-data-in' type='checkbox'><label for='data-729bcb70-ce19-445e-b1c9-47a02746eed5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>minval :</span></dt><dd>0.0</dd><dt><span>maxval :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ...,  0.,  0., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.]],
          shape=(500, 25), 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 50.0 50.0</div><input id='attrs-ffb4e7e4-dc61-4de3-a5ef-6ac675f71858' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ffb4e7e4-dc61-4de3-a5ef-6ac675f71858' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a915499e-5596-4c42-a4eb-8de005ad3892' class='xr-var-data-in' type='checkbox'><label for='data-a915499e-5596-4c42-a4eb-8de005ad3892' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>minval :</span></dt><dd>50.0</dd><dt><span>maxval :</span></dt><dd>50.0</dd></dl></div><div class='xr-var-data'><pre>array([[50., 50., 50., ..., 50., 50., 50.],
           [50., 50., 50., ..., 50., 50., 50.],
           [50., 50., 50., ..., nan, nan, nan],
           ...,
           [50., 50., 50., ..., 50., 50., nan],
           [50., 50., 50., ..., 50., 50., 50.],
           [50., 50., 50., ..., 50., 50., 50.]],
          shape=(500, 25), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8f19f43e-727e-422c-918d-f18a5669a679' class='xr-section-summary-in' type='checkbox'  ><label for='section-8f19f43e-727e-422c-918d-f18a5669a679' 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-7055d9b6-cd25-4b9c-a519-5065df4b9d10' class='xr-index-data-in' type='checkbox'/><label for='index-7055d9b6-cd25-4b9c-a519-5065df4b9d10' 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,
           ...
           490, 491, 492, 493, 494, 495, 496, 497, 498, 499],
          dtype=&#x27;int64&#x27;, name=&#x27;trajectory&#x27;, length=500))</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-be7e55bf-2826-464f-820e-15ae4935ebe8' class='xr-index-data-in' type='checkbox'/><label for='index-be7e55bf-2826-464f-820e-15ae4935ebe8' 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;2015-11-16 00:00:00&#x27;, &#x27;2015-11-16 01:00:00&#x27;,
                   &#x27;2015-11-16 02:00:00&#x27;, &#x27;2015-11-16 03:00:00&#x27;,
                   &#x27;2015-11-16 04:00:00&#x27;, &#x27;2015-11-16 05:00:00&#x27;,
                   &#x27;2015-11-16 06:00:00&#x27;, &#x27;2015-11-16 07:00:00&#x27;,
                   &#x27;2015-11-16 08:00:00&#x27;, &#x27;2015-11-16 09:00:00&#x27;,
                   &#x27;2015-11-16 10:00:00&#x27;, &#x27;2015-11-16 11:00:00&#x27;,
                   &#x27;2015-11-16 12:00:00&#x27;, &#x27;2015-11-16 13:00:00&#x27;,
                   &#x27;2015-11-16 14:00:00&#x27;, &#x27;2015-11-16 15:00:00&#x27;,
                   &#x27;2015-11-16 16:00:00&#x27;, &#x27;2015-11-16 17:00:00&#x27;,
                   &#x27;2015-11-16 18:00:00&#x27;, &#x27;2015-11-16 19:00:00&#x27;,
                   &#x27;2015-11-16 20:00:00&#x27;, &#x27;2015-11-16 21:00:00&#x27;,
                   &#x27;2015-11-16 22:00:00&#x27;, &#x27;2015-11-16 23:00:00&#x27;,
                   &#x27;2015-11-17 00:00:00&#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-4121487d-34d0-4dda-b781-787c2856edf8' class='xr-section-summary-in' type='checkbox'  ><label for='section-4121487d-34d0-4dda-b781-787c2856edf8' 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 2025-07-11 17:14:05.909288</dd><dt><span>date_created :</span></dt><dd>2025-07-11T17:14:05.909297</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;/root/project/tests/test_data/16Nov2015_NorKyst_z_surface/arome_subset_16Nov2015.nc&#x27;, &#x27;/root/project/tests/test_data/16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc&#x27;, &#x27;global_landmask&#x27;])</dd><dt><span>time_coverage_start :</span></dt><dd>2015-11-16 00:00:00</dd><dt><span>time_step_calculation :</span></dt><dd>0:15:00</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>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>None</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>True</dd><dt><span>config_processes:emulsification :</span></dt><dd>True</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>MARTIN LINGE CRUDE 2016</dd><dt><span>opendrift_version :</span></dt><dd>1.14.2</dd><dt><span>seed_lon :</span></dt><dd>4.88</dd><dt><span>seed_lat :</span></dt><dd>60.1</dd><dt><span>seed_radius :</span></dt><dd>3000.0</dd><dt><span>seed_time :</span></dt><dd>2015-11-16 00:00:00</dd><dt><span>seed_number :</span></dt><dd>500.0</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>MARTIN LINGE CRUDE 2016</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>2025-07-11 17:14:05.916324</dd><dt><span>reader_x_sea_water_velocity :</span></dt><dd>[&#x27;/root/project/tests/test_data/16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc&#x27;]</dd><dt><span>reader_y_sea_water_velocity :</span></dt><dd>[&#x27;/root/project/tests/test_data/16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc&#x27;]</dd><dt><span>reader_x_wind :</span></dt><dd>[&#x27;/root/project/tests/test_data/16Nov2015_NorKyst_z_surface/arome_subset_16Nov2015.nc&#x27;]</dd><dt><span>reader_y_wind :</span></dt><dd>[&#x27;/root/project/tests/test_data/16Nov2015_NorKyst_z_surface/arome_subset_16Nov2015.nc&#x27;]</dd><dt><span>reader_sea_surface_height :</span></dt><dd>0</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>0</dd><dt><span>reader_sea_ice_x_velocity :</span></dt><dd>0</dd><dt><span>reader_sea_ice_y_velocity :</span></dt><dd>0</dd><dt><span>reader_sea_water_temperature :</span></dt><dd>10</dd><dt><span>reader_sea_water_salinity :</span></dt><dd>34</dd><dt><span>reader_sea_floor_depth_below_sea_level :</span></dt><dd>10000</dd><dt><span>reader_ocean_vertical_diffusivity :</span></dt><dd>0.02</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>2015-11-17 00:00:00</dd><dt><span>time_coverage_duration :</span></dt><dd>P1DT0H0M0S</dd><dt><span>time_coverage_resolution :</span></dt><dd>P0DT0H15M0S</dd><dt><span>performance :</span></dt><dd>--------------------
    Reader performance:
    --------------------
    /root/project/tests/test_data/16Nov2015_NorKyst_z_surface/arome_subset_16Nov2015.nc
     0:00:00.2  total
     0:00:00.0  preparing
     0:00:00.1  reading
     0:00:00.0  interpolation
     0:00:00.0  interpolation_time
     0:00:00.1  rotating vectors
     0:00:00.0  masking
    --------------------
    /root/project/tests/test_data/16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc
     0:00:00.2  total
     0:00:00.0  preparing
     0:00:00.1  reading
     0:00:00.0  interpolation
     0:00:00.0  interpolation_time
     0:00:00.1  rotating vectors
     0:00:00.0  masking
    --------------------
    global_landmask
     0:00:01.5  total
     0:00:00.0  preparing
     0:00:01.5  reading
     0:00:00.0  masking
    --------------------
    Performance:
       14.0 total time
        4.7 configuration
        0.0 preparing main loop
          0.0 moving elements to ocean
        9.3 main loop
          3.5 updating elements
            0.1 oil weathering
              0.0 updating viscosities
              0.0 updating densities
              0.0 evaporation
              0.0 emulsification
            3.3 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>60.00772</dd><dt><span>geospatial_lat_max :</span></dt><dd>60.871876</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>point</dd><dt><span>geospatial_lon_min :</span></dt><dd>4.4469266</dd><dt><span>geospatial_lon_max :</span></dt><dd>5.0402193</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>0:00:14.096679</dd><dt><span>geospatial_vertical_min :</span></dt><dd>-49.746788</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 45-46

Print and plot results

.. GENERATED FROM PYTHON SOURCE LINES 46-52

.. code-block:: Python

    o.plot_oil_budget()
    o.plot(fast=True)
    o.animation(fast=True)
    #o.plot_oil_budget('oil_budget_MartinLingeCrude.png')





.. rst-class:: sphx-glr-horizontal


    *

      .. image-sg:: /gallery/images/sphx_glr_example_oil_budget_noaa_001.png
         :alt: MARTIN LINGE CRUDE 2016 (930.0 kg/m3) - 2015-11-16 00:00 to 2015-11-17 00:00
         :srcset: /gallery/images/sphx_glr_example_oil_budget_noaa_001.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /gallery/images/sphx_glr_example_oil_budget_noaa_002.png
         :alt: OpenDrift - OpenOil (MARTIN LINGE CRUDE 2016) 2015-11-16 00:00 to 2015-11-17 00:00 UTC (25 steps)
         :srcset: /gallery/images/sphx_glr_example_oil_budget_noaa_002.png
         :class: sphx-glr-multi-img


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

 .. code-block:: none

    17:14:15 WARNING opendrift:2391: Plotting fast. This will make your plots less accurate.
    17:14:17 WARNING opendrift:2391: Plotting fast. This will make your plots less accurate.
    17:14:18 INFO    opendrift:4553: Saving animation to /root/project/docs/source/gallery/animations/example_oil_budget_noaa_0.gif...
    17:14:34 INFO    opendrift:2994: Time to make animation: 0:00:17.498209




.. GENERATED FROM PYTHON SOURCE LINES 53-54

.. image:: /gallery/animations/example_oil_budget_noaa_0.gif

.. GENERATED FROM PYTHON SOURCE LINES 54-62

.. code-block:: Python


    o.plot_property('fraction_evaporated')
    o.plot_property('density')
    o.plot_property('water_fraction')
    o.plot_property('viscosity')
    o.plot_property('interfacial_area')
    o.plot_property('z')




.. rst-class:: sphx-glr-horizontal


    *

      .. image-sg:: /gallery/images/sphx_glr_example_oil_budget_noaa_003.png
         :alt: fraction_evaporated
         :srcset: /gallery/images/sphx_glr_example_oil_budget_noaa_003.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /gallery/images/sphx_glr_example_oil_budget_noaa_004.png
         :alt: density
         :srcset: /gallery/images/sphx_glr_example_oil_budget_noaa_004.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /gallery/images/sphx_glr_example_oil_budget_noaa_005.png
         :alt: water_fraction
         :srcset: /gallery/images/sphx_glr_example_oil_budget_noaa_005.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /gallery/images/sphx_glr_example_oil_budget_noaa_006.png
         :alt: viscosity
         :srcset: /gallery/images/sphx_glr_example_oil_budget_noaa_006.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /gallery/images/sphx_glr_example_oil_budget_noaa_007.png
         :alt: interfacial_area
         :srcset: /gallery/images/sphx_glr_example_oil_budget_noaa_007.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /gallery/images/sphx_glr_example_oil_budget_noaa_008.png
         :alt: z
         :srcset: /gallery/images/sphx_glr_example_oil_budget_noaa_008.png
         :class: sphx-glr-multi-img






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

   **Total running time of the script:** (0 minutes 43.077 seconds)


.. _sphx_glr_download_gallery_example_oil_budget_noaa.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_budget_noaa.ipynb <example_oil_budget_noaa.ipynb>`

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

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

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

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


.. only:: html

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

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