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

.. only:: html

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

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

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

.. _sphx_glr_gallery_example_shipdrift.py:


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

.. GENERATED FROM PYTHON SOURCE LINES 6-18

.. code-block:: Python


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

    o = ShipDrift(loglevel=20)

    o.add_readers_from_list([
        'https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml',
        'https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc',
        'https://thredds.met.no/thredds/dodsC/cmems/mywavewam3km/dataset-wam-arctic-1hr3km-be.ncml'
        ])





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

 .. code-block:: none

    08:26:26 INFO    opendrift:568: OpenDriftSimulation initialised (version 1.14.9 / v1.14.9-9-gcde0dcf)




.. GENERATED FROM PYTHON SOURCE LINES 19-21

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

.. GENERATED FROM PYTHON SOURCE LINES 21-25

.. code-block:: Python

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





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

 .. code-block:: none

    08:26:26 WARNING opendrift.models.shipdrift:180: Ratio of beam to length should be in range 0.12 to 0.18, given range is 0.25-0.25. Using border value.
    08:26:26 INFO    opendrift.models.basemodel.environment:203: Adding a global landmask from GSHHG
    08:26:30 INFO    opendrift.models.basemodel.environment:227: Fallback values will be used for the following variables which have no readers: 
    08:26:30 INFO    opendrift.models.basemodel.environment:230:    horizontal_diffusivity: 100.000000
    08:26:30 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_stokes_drift_x_velocity: 0.000000
    08:26:30 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_stokes_drift_y_velocity: 0.000000
    08:26:30 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_significant_height: 0.000000
    08:26:30 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment: 0.000000




.. GENERATED FROM PYTHON SOURCE LINES 26-27

Running model

.. GENERATED FROM PYTHON SOURCE LINES 27-29

.. code-block:: Python

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





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

 .. code-block:: none

    08:26:30 INFO    opendrift:1839: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
    08:26:30 INFO    opendrift:1839: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
    08:26:30 INFO    opendrift:947: Using existing reader for land_binary_mask to move elements to ocean
    08:26:30 INFO    opendrift:978: All points are in ocean
    08:26:30 INFO    opendrift:2136: 2026-03-25 08:26:26.272919 - step 1 of 24 - 1000 active elements (0 deactivated)
    08:26:30 INFO    opendrift.readers:64: Opening file with xr.open_dataset
    08:26:32 INFO    opendrift.readers.reader_netCDF_CF_generic:340: Detected dimensions: {'x': 'x', 'y': 'y', 'time': 'time'}
    08:26:32 INFO    opendrift.readers:64: Opening file with xr.open_dataset
    08:26:33 INFO    opendrift.readers.reader_netCDF_CF_generic:340: Detected dimensions: {'time': 'time', 'x': 'x', 'y': 'y'}
    08:26:33 INFO    opendrift.readers:64: Opening file with xr.open_dataset
    08:26:35 INFO    opendrift.readers.reader_netCDF_CF_generic:340: Detected dimensions: {'y': 'rlat', 'x': 'rlon', 'time': 'time'}
    08:26:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:26:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:26:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:26:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:26:39 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    08:26:39 INFO    opendrift:2136: 2026-03-25 09:26:26.272919 - step 2 of 24 - 1000 active elements (0 deactivated)
    08:26:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:26:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:26:41 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    08:26:41 INFO    opendrift:2136: 2026-03-25 10:26:26.272919 - step 3 of 24 - 1000 active elements (0 deactivated)
    08:26:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:26:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:26:42 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    08:26:42 INFO    opendrift:2136: 2026-03-25 11:26:26.272919 - step 4 of 24 - 1000 active elements (0 deactivated)
    08:26:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:26:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:26:44 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    08:26:44 INFO    opendrift:2136: 2026-03-25 12:26:26.272919 - step 5 of 24 - 1000 active elements (0 deactivated)
    08:26:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:26:45 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:26:46 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    08:26:46 INFO    opendrift:2136: 2026-03-25 13:26:26.272919 - step 6 of 24 - 1000 active elements (0 deactivated)
    08:26:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:26:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:26:49 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    08:26:49 INFO    opendrift:2136: 2026-03-25 14:26:26.272919 - step 7 of 24 - 1000 active elements (0 deactivated)
    08:26:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:26:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:26:51 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    08:26:51 INFO    opendrift:2136: 2026-03-25 15:26:26.272919 - step 8 of 24 - 1000 active elements (0 deactivated)
    08:26:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:26:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:26:53 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    08:26:53 INFO    opendrift:2136: 2026-03-25 16:26:26.272919 - step 9 of 24 - 1000 active elements (0 deactivated)
    08:26:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:26:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:26:56 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    08:26:56 INFO    opendrift:2136: 2026-03-25 17:26:26.272919 - step 10 of 24 - 1000 active elements (0 deactivated)
    08:26:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:26:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:27:00 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    08:27:00 INFO    opendrift:2136: 2026-03-25 18:26:26.272919 - step 11 of 24 - 1000 active elements (0 deactivated)
    08:27:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:27:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:27:02 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    08:27:02 INFO    opendrift:2136: 2026-03-25 19:26:26.272919 - step 12 of 24 - 1000 active elements (0 deactivated)
    08:27:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:27:05 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:27:05 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    08:27:05 INFO    opendrift:2136: 2026-03-25 20:26:26.272919 - step 13 of 24 - 1000 active elements (0 deactivated)
    08:27:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:27:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:27:08 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    08:27:08 INFO    opendrift:2136: 2026-03-25 21:26:26.272919 - step 14 of 24 - 1000 active elements (0 deactivated)
    08:27:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:27:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:27:11 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    08:27:11 INFO    opendrift:2136: 2026-03-25 22:26:26.272919 - step 15 of 24 - 1000 active elements (0 deactivated)
    08:27:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:27:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:27:13 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    08:27:13 INFO    opendrift:2136: 2026-03-25 23:26:26.272919 - step 16 of 24 - 1000 active elements (0 deactivated)
    08:27:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:27:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:27:17 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    08:27:17 INFO    opendrift:2136: 2026-03-26 00:26:26.272919 - step 17 of 24 - 1000 active elements (0 deactivated)
    08:27:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:27:18 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:27:19 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    08:27:19 INFO    opendrift:2136: 2026-03-26 01:26:26.272919 - step 18 of 24 - 1000 active elements (0 deactivated)
    08:27:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:27:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:27:21 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    08:27:21 INFO    opendrift:2136: 2026-03-26 02:26:26.272919 - step 19 of 24 - 1000 active elements (0 deactivated)
    08:27:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:27:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:27:24 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    08:27:24 INFO    opendrift:2136: 2026-03-26 03:26:26.272919 - step 20 of 24 - 1000 active elements (0 deactivated)
    08:27:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:27:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:27:26 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    08:27:26 INFO    opendrift:2136: 2026-03-26 04:26:26.272919 - step 21 of 24 - 1000 active elements (0 deactivated)
    08:27:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:27:28 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:27:29 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    08:27:29 INFO    opendrift:2136: 2026-03-26 05:26:26.272919 - step 22 of 24 - 1000 active elements (0 deactivated)
    08:27:30 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:27:30 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:27:31 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    08:27:31 INFO    opendrift:2136: 2026-03-26 06:26:26.272919 - step 23 of 24 - 1000 active elements (0 deactivated)
    08:27:33 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:27:33 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:27:35 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction
    08:27:35 INFO    opendrift:2136: 2026-03-26 07:26:26.272919 - step 24 of 24 - 1000 active elements (0 deactivated)
    08:27:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:27:37 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
    08:27:39 INFO    opendrift.models.shipdrift:310: Using Stokes drift direction as wave direction


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    .xr-var-attrs-in:checked + label > .xr-icon-file-text2,
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      color: var(--xr-font-color0);
      filter: drop-shadow(1px 1px 5px var(--xr-font-color2));
      stroke-width: 0.8px;
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    </style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 3MB
    Dimensions:                                                                              (
                                                                                              trajectory: 1000,
                                                                                              time: 25)
    Coordinates:
      * trajectory                                                                           (trajectory) int64 8kB ...
      * time                                                                                 (time) datetime64[ns] 200B ...
    Data variables: (12/25)
        status                                                                               (trajectory, time) float32 100kB ...
        moving                                                                               (trajectory, time) float32 100kB ...
        age_seconds                                                                          (trajectory, time) float32 100kB ...
        origin_marker                                                                        (trajectory, time) float32 100kB ...
        lon                                                                                  (trajectory, time) float32 100kB ...
        lat                                                                                  (trajectory, time) float32 100kB ...
        ...                                                                                   ...
        y_sea_water_velocity                                                                 (trajectory, time) float32 100kB ...
        horizontal_diffusivity                                                               (trajectory, time) float32 100kB ...
        sea_surface_wave_stokes_drift_x_velocity                                             (trajectory, time) float32 100kB ...
        sea_surface_wave_stokes_drift_y_velocity                                             (trajectory, time) float32 100kB ...
        sea_surface_wave_significant_height                                                  (trajectory, time) float32 100kB ...
        sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment  (trajectory, time) float32 100kB ...
    Attributes: (12/98)
        Conventions:                                                             ...
        standard_name_vocabulary:                                                ...
        featureType:                                                             ...
        title:                                                                   ...
        summary:                                                                 ...
        keywords:                                                                ...
        ...                                                                                                               ...
        geospatial_lon_units:                                                    ...
        geospatial_lon_resolution:                                               ...
        runtime:                                                                 ...
        geospatial_vertical_min:                                                 ...
        geospatial_vertical_max:                                                 ...
        geospatial_vertical_positive:                                            ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-012a0e87-76c8-4020-b5ac-7cadac9af2dc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-012a0e87-76c8-4020-b5ac-7cadac9af2dc' 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>: 1000</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-d5288ce2-f7a4-412c-96fb-5de536265518' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d5288ce2-f7a4-412c-96fb-5de536265518' 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 ... 995 996 997 998 999</div><input id='attrs-cc748fad-419b-4551-947e-497784cb7ba2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc748fad-419b-4551-947e-497784cb7ba2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-845192a8-96b8-491d-9a67-a65f808a760f' class='xr-var-data-in' type='checkbox'><label for='data-845192a8-96b8-491d-9a67-a65f808a760f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cf_role :</span></dt><dd>trajectory_id</dd><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.int32&#x27;&gt;</dd></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 997, 998, 999], shape=(1000,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2026-03-25T08:26:26.272919 ... 2...</div><input id='attrs-8a7659b8-d3d3-46f2-b91b-5d5923968c39' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a7659b8-d3d3-46f2-b91b-5d5923968c39' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-576ba10f-981b-41d3-85d5-aa46dd9bbb36' class='xr-var-data-in' type='checkbox'><label for='data-576ba10f-981b-41d3-85d5-aa46dd9bbb36' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float64&#x27;&gt;</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2026-03-25T08:26:26.272919000&#x27;, &#x27;2026-03-25T09:26:26.272919000&#x27;,
           &#x27;2026-03-25T10:26:26.272919000&#x27;, &#x27;2026-03-25T11:26:26.272919000&#x27;,
           &#x27;2026-03-25T12:26:26.272919000&#x27;, &#x27;2026-03-25T13:26:26.272919000&#x27;,
           &#x27;2026-03-25T14:26:26.272919000&#x27;, &#x27;2026-03-25T15:26:26.272919000&#x27;,
           &#x27;2026-03-25T16:26:26.272919000&#x27;, &#x27;2026-03-25T17:26:26.272919000&#x27;,
           &#x27;2026-03-25T18:26:26.272919000&#x27;, &#x27;2026-03-25T19:26:26.272919000&#x27;,
           &#x27;2026-03-25T20:26:26.272919000&#x27;, &#x27;2026-03-25T21:26:26.272919000&#x27;,
           &#x27;2026-03-25T22:26:26.272919000&#x27;, &#x27;2026-03-25T23:26:26.272919000&#x27;,
           &#x27;2026-03-26T00:26:26.272919000&#x27;, &#x27;2026-03-26T01:26:26.272919000&#x27;,
           &#x27;2026-03-26T02:26:26.272919000&#x27;, &#x27;2026-03-26T03:26:26.272919000&#x27;,
           &#x27;2026-03-26T04:26:26.272919000&#x27;, &#x27;2026-03-26T05:26:26.272919000&#x27;,
           &#x27;2026-03-26T06:26:26.272919000&#x27;, &#x27;2026-03-26T07:26:26.272919000&#x27;,
           &#x27;2026-03-26T08:26:26.272919000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6a29dceb-8c2f-4aeb-acaa-b6f544da6eed' class='xr-section-summary-in' type='checkbox'  ><label for='section-6a29dceb-8c2f-4aeb-acaa-b6f544da6eed' class='xr-section-summary' >Data variables: <span>(25)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>status</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-d73b3523-f229-46c0-9077-c9038ffc26d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d73b3523-f229-46c0-9077-c9038ffc26d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1ff9fa2-ad86-4c69-8e4c-73334ecf9ef4' class='xr-var-data-in' type='checkbox'><label for='data-c1ff9fa2-ad86-4c69-8e4c-73334ecf9ef4' 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 0]</dd><dt><span>flag_values :</span></dt><dd>[0]</dd><dt><span>flag_meanings :</span></dt><dd>active</dd></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>moving</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.0 1.0 1.0 1.0 ... 1.0 1.0 1.0 1.0</div><input id='attrs-e277a9cd-e57f-4bf7-b1aa-9975ca5ec09d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e277a9cd-e57f-4bf7-b1aa-9975ca5ec09d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8ac695b-7090-4365-b04e-8e91c9defbaf' class='xr-var-data-in' type='checkbox'><label for='data-c8ac695b-7090-4365-b04e-8e91c9defbaf' 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>1</dd><dt><span>maxval :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.],
           ...,
           [1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.]], shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>age_seconds</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 3.6e+03 ... 8.28e+04 8.64e+04</div><input id='attrs-81048c3b-1ae8-4071-a215-2a719751fa87' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81048c3b-1ae8-4071-a215-2a719751fa87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a47789f4-9926-4920-aa14-3b92c7ad8abb' class='xr-var-data-in' type='checkbox'><label for='data-a47789f4-9926-4920-aa14-3b92c7ad8abb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>s</dd><dt><span>minval :</span></dt><dd>0.0</dd><dt><span>maxval :</span></dt><dd>86400.0</dd></dl></div><div class='xr-var-data'><pre>array([[    0.,  3600.,  7200., ..., 79200., 82800., 86400.],
           [    0.,  3600.,  7200., ..., 79200., 82800., 86400.],
           [    0.,  3600.,  7200., ..., 79200., 82800., 86400.],
           ...,
           [    0.,  3600.,  7200., ..., 79200., 82800., 86400.],
           [    0.,  3600.,  7200., ..., 79200., 82800., 86400.],
           [    0.,  3600.,  7200., ..., 79200., 82800., 86400.]],
          shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>origin_marker</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-3fd41193-917a-44b5-83f6-5fbffd1b28a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fd41193-917a-44b5-83f6-5fbffd1b28a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56534353-ba40-442a-a8cf-95967413fe2a' class='xr-var-data-in' type='checkbox'><label for='data-56534353-ba40-442a-a8cf-95967413fe2a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.int32&#x27;&gt;</dd><dt><span>unit :</span></dt><dd></dd><dt><span>description :</span></dt><dd>An integer kept constant during the simulation. Different values may be used for different seedings, to separate elements during analysis. With GUI, only a single seeding is possible.</dd><dt><span>flag_values :</span></dt><dd>[0]</dd><dt><span>flag_meanings :</span></dt><dd>Seed_0</dd><dt><span>minval :</span></dt><dd>0</dd><dt><span>maxval :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>5.035 5.034 5.072 ... 5.511 5.535</div><input id='attrs-15a7d2f3-6cb1-4763-a890-9553111a8160' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15a7d2f3-6cb1-4763-a890-9553111a8160' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb288a33-acdf-40b4-9a90-f0a9709bb19b' class='xr-var-data-in' type='checkbox'><label for='data-eb288a33-acdf-40b4-9a90-f0a9709bb19b' 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>4.938629</dd><dt><span>maxval :</span></dt><dd>6.0857654</dd></dl></div><div class='xr-var-data'><pre>array([[5.0348186, 5.0337763, 5.072461 , ..., 5.751084 , 5.764632 ,
            5.769936 ],
           [5.007899 , 5.004702 , 5.061539 , ..., 5.623428 , 5.6212993,
            5.5790143],
           [5.0193124, 5.0449495, 5.0748477, ..., 5.9184046, 5.937039 ,
            5.9513283],
           ...,
           [5.0018587, 5.0243697, 5.0646586, ..., 5.7501783, 5.78353  ,
            5.7997465],
           [4.9773602, 4.9812737, 5.0074587, ..., 5.6437497, 5.681269 ,
            5.7288685],
           [4.9929357, 5.014662 , 5.0454855, ..., 5.5161853, 5.5114765,
            5.5347223]], shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>63.0 63.03 63.04 ... 62.63 62.6</div><input id='attrs-51c70c06-4913-47e1-9807-df9bd54555ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51c70c06-4913-47e1-9807-df9bd54555ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe0fca93-6066-4c2f-a1cb-6e3beb99d4ec' class='xr-var-data-in' type='checkbox'><label for='data-fe0fca93-6066-4c2f-a1cb-6e3beb99d4ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>minval :</span></dt><dd>62.50884</dd><dt><span>maxval :</span></dt><dd>63.1234</dd></dl></div><div class='xr-var-data'><pre>array([[63.004982, 63.02979 , 63.03858 , ..., 62.68808 , 62.680164,
            62.65278 ],
           [63.008007, 63.03022 , 63.034832, ..., 62.638096, 62.620148,
            62.58938 ],
           [62.99621 , 63.011105, 63.009533, ..., 62.6691  , 62.662037,
            62.64878 ],
           ...,
           [63.001423, 63.01768 , 63.0241  , ..., 62.66509 , 62.62974 ,
            62.61334 ],
           [62.989754, 63.019493, 63.038227, ..., 62.805878, 62.775303,
            62.758312],
           [62.98824 , 63.00244 , 63.021225, ..., 62.64898 , 62.63149 ,
            62.60345 ]], shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-6306a9f2-9af6-4716-bc5d-13a294f70e2f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6306a9f2-9af6-4716-bc5d-13a294f70e2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77019062-b437-46c0-be2d-ab3f79ffc9a8' class='xr-var-data-in' type='checkbox'><label for='data-77019062-b437-46c0-be2d-ab3f79ffc9a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>standard_name :</span></dt><dd>z</dd><dt><span>long_name :</span></dt><dd>vertical position</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>minval :</span></dt><dd>0.0</dd><dt><span>maxval :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientation</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 1.0 1.0 1.0 1.0</div><input id='attrs-ccd3601c-ef84-4898-af3f-3ca93d3e6b2d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ccd3601c-ef84-4898-af3f-3ca93d3e6b2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3b85232-2f58-47ef-9874-4d803a6c002d' class='xr-var-data-in' type='checkbox'><label for='data-f3b85232-2f58-47ef-9874-4d803a6c002d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.uint8&#x27;&gt;</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>minval :</span></dt><dd>0</dd><dt><span>maxval :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],
           [1., 1., 1., ..., 1., 1., 1.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [1., 1., 1., ..., 1., 1., 1.],
           [0., 0., 0., ..., 0., 0., 0.],
           [1., 1., 1., ..., 1., 1., 1.]], shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>length</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>80.0 80.0 80.0 ... 80.0 80.0 80.0</div><input id='attrs-1da40a17-2ad0-4b33-8360-1f8562ddecbd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1da40a17-2ad0-4b33-8360-1f8562ddecbd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f955f14e-afa2-4be1-9c6c-e5c3f0d515a9' class='xr-var-data-in' type='checkbox'><label for='data-f955f14e-afa2-4be1-9c6c-e5c3f0d515a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>min :</span></dt><dd>1</dd><dt><span>max :</span></dt><dd>500</dd><dt><span>description :</span></dt><dd>Length of ship</dd><dt><span>level :</span></dt><dd>1</dd><dt><span>minval :</span></dt><dd>80.0</dd><dt><span>maxval :</span></dt><dd>80.0</dd></dl></div><div class='xr-var-data'><pre>array([[80., 80., 80., ..., 80., 80., 80.],
           [80., 80., 80., ..., 80., 80., 80.],
           [80., 80., 80., ..., 80., 80., 80.],
           ...,
           [80., 80., 80., ..., 80., 80., 80.],
           [80., 80., 80., ..., 80., 80., 80.],
           [80., 80., 80., ..., 80., 80., 80.]],
          shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.0 9.0 9.0 9.0 ... 9.0 9.0 9.0 9.0</div><input id='attrs-d5d49c1a-986f-46db-a545-913b3eec0509' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5d49c1a-986f-46db-a545-913b3eec0509' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0743accf-f4be-47b9-a49b-90429b1506e6' class='xr-var-data-in' type='checkbox'><label for='data-0743accf-f4be-47b9-a49b-90429b1506e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>min :</span></dt><dd>1</dd><dt><span>max :</span></dt><dd>100</dd><dt><span>description :</span></dt><dd>Total height of ship (above and below waterline)</dd><dt><span>level :</span></dt><dd>1</dd><dt><span>minval :</span></dt><dd>9.0</dd><dt><span>maxval :</span></dt><dd>9.0</dd></dl></div><div class='xr-var-data'><pre>array([[9., 9., 9., ..., 9., 9., 9.],
           [9., 9., 9., ..., 9., 9., 9.],
           [9., 9., 9., ..., 9., 9., 9.],
           ...,
           [9., 9., 9., ..., 9., 9., 9.],
           [9., 9., 9., ..., 9., 9., 9.],
           [9., 9., 9., ..., 9., 9., 9.]], shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>draft</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>4.0 4.0 4.0 4.0 ... 4.0 4.0 4.0 4.0</div><input id='attrs-5be952ce-1445-470d-9d50-02d0107a0319' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5be952ce-1445-470d-9d50-02d0107a0319' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-747f278f-de6d-4dd9-952c-e51a50848600' class='xr-var-data-in' type='checkbox'><label for='data-747f278f-de6d-4dd9-952c-e51a50848600' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>min :</span></dt><dd>1</dd><dt><span>max :</span></dt><dd>30</dd><dt><span>description :</span></dt><dd>Draft of ship (depth below water)</dd><dt><span>level :</span></dt><dd>1</dd><dt><span>minval :</span></dt><dd>4.0</dd><dt><span>maxval :</span></dt><dd>4.0</dd></dl></div><div class='xr-var-data'><pre>array([[4., 4., 4., ..., 4., 4., 4.],
           [4., 4., 4., ..., 4., 4., 4.],
           [4., 4., 4., ..., 4., 4., 4.],
           ...,
           [4., 4., 4., ..., 4., 4., 4.],
           [4., 4., 4., ..., 4., 4., 4.],
           [4., 4., 4., ..., 4., 4., 4.]], shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beam</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>20.0 20.0 20.0 ... 20.0 20.0 20.0</div><input id='attrs-aecf452d-19a6-4265-994c-6777f6b7da18' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aecf452d-19a6-4265-994c-6777f6b7da18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-310d1adb-9e14-4a49-9f76-f8e65866ac4e' class='xr-var-data-in' type='checkbox'><label for='data-310d1adb-9e14-4a49-9f76-f8e65866ac4e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>min :</span></dt><dd>1</dd><dt><span>max :</span></dt><dd>70</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>description :</span></dt><dd>Beam (width) of ship</dd><dt><span>level :</span></dt><dd>1</dd><dt><span>minval :</span></dt><dd>20.0</dd><dt><span>maxval :</span></dt><dd>20.0</dd></dl></div><div class='xr-var-data'><pre>array([[20., 20., 20., ..., 20., 20., 20.],
           [20., 20., 20., ..., 20., 20., 20.],
           [20., 20., 20., ..., 20., 20., 20.],
           ...,
           [20., 20., 20., ..., 20., 20., 20.],
           [20., 20., 20., ..., 20., 20., 20.],
           [20., 20., 20., ..., 20., 20., 20.]],
          shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_drag_coeff</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.815 0.815 0.815 ... 0.815 0.815</div><input id='attrs-57180cc2-8b21-4aba-a343-1cc88312cda9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-57180cc2-8b21-4aba-a343-1cc88312cda9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49ae54cf-011c-4fed-8830-2bb3ef631317' class='xr-var-data-in' type='checkbox'><label for='data-49ae54cf-011c-4fed-8830-2bb3ef631317' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>minval :</span></dt><dd>0.815</dd><dt><span>maxval :</span></dt><dd>0.815</dd></dl></div><div class='xr-var-data'><pre>array([[0.815, 0.815, 0.815, ..., 0.815, 0.815, 0.815],
           [0.815, 0.815, 0.815, ..., 0.815, 0.815, 0.815],
           [0.815, 0.815, 0.815, ..., 0.815, 0.815, 0.815],
           ...,
           [0.815, 0.815, 0.815, ..., 0.815, 0.815, 0.815],
           [0.815, 0.815, 0.815, ..., 0.815, 0.815, 0.815],
           [0.815, 0.815, 0.815, ..., 0.815, 0.815, 0.815]],
          shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_drag_coeff</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.32 1.32 1.32 ... 1.32 1.32 1.32</div><input id='attrs-43eb00df-29df-4447-9f4d-203e528ebf62' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-43eb00df-29df-4447-9f4d-203e528ebf62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e0843cc-cfdd-4336-b269-d7d834956f75' class='xr-var-data-in' type='checkbox'><label for='data-8e0843cc-cfdd-4336-b269-d7d834956f75' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>minval :</span></dt><dd>1.32</dd><dt><span>maxval :</span></dt><dd>1.32</dd></dl></div><div class='xr-var-data'><pre>array([[1.32, 1.32, 1.32, ..., 1.32, 1.32, 1.32],
           [1.32, 1.32, 1.32, ..., 1.32, 1.32, 1.32],
           [1.32, 1.32, 1.32, ..., 1.32, 1.32, 1.32],
           ...,
           [1.32, 1.32, 1.32, ..., 1.32, 1.32, 1.32],
           [1.32, 1.32, 1.32, ..., 1.32, 1.32, 1.32],
           [1.32, 1.32, 1.32, ..., 1.32, 1.32, 1.32]],
          shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jibeProbability</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.04 0.04 0.04 ... 0.04 0.04 0.04</div><input id='attrs-d8836059-c38e-43e2-af62-ba8121c42cf5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8836059-c38e-43e2-af62-ba8121c42cf5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90e6a4dd-919a-4a0f-bd84-dfb459df19a2' class='xr-var-data-in' type='checkbox'><label for='data-90e6a4dd-919a-4a0f-bd84-dfb459df19a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>1/h</dd><dt><span>minval :</span></dt><dd>0.04</dd><dt><span>maxval :</span></dt><dd>0.04</dd></dl></div><div class='xr-var-data'><pre>array([[0.04, 0.04, 0.04, ..., 0.04, 0.04, 0.04],
           [0.04, 0.04, 0.04, ..., 0.04, 0.04, 0.04],
           [0.04, 0.04, 0.04, ..., 0.04, 0.04, 0.04],
           ...,
           [0.04, 0.04, 0.04, ..., 0.04, 0.04, 0.04],
           [0.04, 0.04, 0.04, ..., 0.04, 0.04, 0.04],
           [0.04, 0.04, 0.04, ..., 0.04, 0.04, 0.04]],
          shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x_wind</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>7.822 9.842 11.52 ... 9.633 9.633</div><input id='attrs-5e86602a-0d3c-4d85-bfcf-70f907017d08' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e86602a-0d3c-4d85-bfcf-70f907017d08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f47a4838-dea2-4c79-9c94-1494ed33f202' class='xr-var-data-in' type='checkbox'><label for='data-f47a4838-dea2-4c79-9c94-1494ed33f202' 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>-0.69201475</dd><dt><span>maxval :</span></dt><dd>17.872923</dd></dl></div><div class='xr-var-data'><pre>array([[ 7.821662 ,  9.841703 , 11.522856 , ...,  2.9290347,  4.3805046,
             4.3805046],
           [ 6.810555 ,  8.248696 ,  7.8402004, ...,  6.5082912,  7.0573363,
             7.0573363],
           [ 8.126677 ,  8.265987 ,  9.692318 , ..., 11.889367 , 10.732919 ,
            10.732919 ],
           ...,
           [ 6.502036 ,  6.849043 ,  8.772845 , ..., 10.01118  , 11.798127 ,
            11.798127 ],
           [ 6.702186 ,  6.2511854,  7.3177524, ...,  7.1243167,  7.218967 ,
             7.218967 ],
           [ 5.263328 ,  5.961795 ,  6.2869434, ...,  8.820926 ,  9.632877 ,
             9.632877 ]], shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y_wind</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.7034 -4.613 ... -11.64 -11.64</div><input id='attrs-143533bb-1170-465c-840e-86102051c44a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-143533bb-1170-465c-840e-86102051c44a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-729e9074-9661-4203-8cae-40b037d41a63' class='xr-var-data-in' type='checkbox'><label for='data-729e9074-9661-4203-8cae-40b037d41a63' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>minval :</span></dt><dd>-20.021814</dd><dt><span>maxval :</span></dt><dd>13.104977</dd></dl></div><div class='xr-var-data'><pre>array([[  0.70340306,  -4.612808  ,  -5.473702  , ..., -13.018919  ,
            -13.223925  , -13.223925  ],
           [  9.751292  ,   1.0103432 ,  -0.36139965, ..., -12.031229  ,
            -10.3648405 , -10.3648405 ],
           [  5.7421455 ,  -0.44821763,  -0.78386134, ...,  -7.062789  ,
             -7.9190044 ,  -7.9190044 ],
           ...,
           [  8.457854  ,   2.62906   ,  -5.9018674 , ...,  -8.3203745 ,
             -6.6736455 ,  -6.6736455 ],
           [  8.306177  ,   5.598164  ,  -0.6636958 , ..., -13.589602  ,
            -13.362826  , -13.362826  ],
           [ 12.9621725 ,   9.589775  ,   5.0012927 , ..., -12.913322  ,
            -11.63668   , -11.63668   ]], shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>land_binary_mask</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-1c3897be-d347-4fb5-bfed-d9f345afb78e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c3897be-d347-4fb5-bfed-d9f345afb78e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-faf85bce-de30-4a5d-83d9-6f3d3b9d2637' class='xr-var-data-in' type='checkbox'><label for='data-faf85bce-de30-4a5d-83d9-6f3d3b9d2637' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>minval :</span></dt><dd>0.0</dd><dt><span>maxval :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x_sea_water_velocity</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.07358 0.0462 ... -0.07604</div><input id='attrs-3d87e832-1192-450f-acc0-a171d20f15c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d87e832-1192-450f-acc0-a171d20f15c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da0e4e5f-aecf-4607-b7d0-4f0aa413da7c' class='xr-var-data-in' type='checkbox'><label for='data-da0e4e5f-aecf-4607-b7d0-4f0aa413da7c' 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>-0.17195186</dd><dt><span>maxval :</span></dt><dd>0.16357298</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.0735779 ,  0.04619833,  0.04343201, ...,  0.00666349,
             0.00045276,  0.00045276],
           [ 0.07289786,  0.0452804 ,  0.0420257 , ..., -0.06037779,
            -0.08318008, -0.08318008],
           [ 0.07553115,  0.05769095,  0.0568508 , ..., -0.08928748,
            -0.11028512, -0.11028512],
           ...,
           [ 0.07792359,  0.055987  ,  0.05253366, ..., -0.02035522,
            -0.06716603, -0.06716603],
           [ 0.10089929,  0.07420019,  0.05421626, ..., -0.01002765,
            -0.00460087, -0.00460087],
           [ 0.08861796,  0.07057516,  0.05690584, ..., -0.06181432,
            -0.07604219, -0.07604219]], shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y_sea_water_velocity</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.2425 0.2568 ... -0.1232 -0.1232</div><input id='attrs-7123709b-4093-4217-bd15-853493486b8d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7123709b-4093-4217-bd15-853493486b8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-779a2cbe-d91e-41e9-bce4-094074663583' class='xr-var-data-in' type='checkbox'><label for='data-779a2cbe-d91e-41e9-bce4-094074663583' 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>-0.38834372</dd><dt><span>maxval :</span></dt><dd>0.30669674</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.24249467,  0.25681067,  0.22021787, ..., -0.0555975 ,
            -0.06600702, -0.06600702],
           [ 0.25850877,  0.27909315,  0.2324476 , ..., -0.1189234 ,
            -0.1365997 , -0.1365997 ],
           [ 0.23970726,  0.23057334,  0.19137773, ..., -0.04250044,
            -0.05424928, -0.05424928],
           ...,
           [ 0.255687  ,  0.2514933 ,  0.21591793, ..., -0.07867735,
            -0.11132138, -0.11132138],
           [ 0.24302243,  0.26660788,  0.27769607, ..., -0.21788065,
            -0.21136154, -0.21136154],
           [ 0.23670083,  0.23834239,  0.22982185, ..., -0.11057041,
            -0.12324212, -0.12324212]], shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>horizontal_diffusivity</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>100.0 100.0 100.0 ... 100.0 100.0</div><input id='attrs-a5f42411-f600-43ba-bee6-bc7f5c798858' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a5f42411-f600-43ba-bee6-bc7f5c798858' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44c202ac-e1f3-41f3-8584-626548c44d99' class='xr-var-data-in' type='checkbox'><label for='data-44c202ac-e1f3-41f3-8584-626548c44d99' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>minval :</span></dt><dd>100.0</dd><dt><span>maxval :</span></dt><dd>100.0</dd></dl></div><div class='xr-var-data'><pre>array([[100., 100., 100., ..., 100., 100., 100.],
           [100., 100., 100., ..., 100., 100., 100.],
           [100., 100., 100., ..., 100., 100., 100.],
           ...,
           [100., 100., 100., ..., 100., 100., 100.],
           [100., 100., 100., ..., 100., 100., 100.],
           [100., 100., 100., ..., 100., 100., 100.]],
          shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_surface_wave_stokes_drift_x_velocity</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.1169 0.1172 ... 0.1034 0.1034</div><input id='attrs-be6a2544-089e-4b4c-a859-76341167e1e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be6a2544-089e-4b4c-a859-76341167e1e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1e522ec-768b-4a4f-8178-845d538e83c1' class='xr-var-data-in' type='checkbox'><label for='data-b1e522ec-768b-4a4f-8178-845d538e83c1' 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>0.09552015</dd><dt><span>maxval :</span></dt><dd>0.31363446</dd></dl></div><div class='xr-var-data'><pre>array([[0.11690813, 0.11721648, 0.14140311, ..., 0.11576021, 0.11065989,
            0.11065989],
           [0.11670294, 0.11827303, 0.14156118, ..., 0.10857188, 0.10167988,
            0.10167988],
           [0.11718479, 0.12035191, 0.14165166, ..., 0.11468809, 0.11056252,
            0.11056252],
           ...,
           [0.11737615, 0.12061823, 0.14223723, ..., 0.11339474, 0.10476181,
            0.10476181],
           [0.1197333 , 0.12374976, 0.14175506, ..., 0.11058972, 0.11153538,
            0.11153538],
           [0.11906525, 0.12376513, 0.1423724 , ..., 0.10853761, 0.10335528,
            0.10335528]], shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_surface_wave_stokes_drift_y_velocity</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.08763 0.05991 ... -0.1894 -0.1894</div><input id='attrs-56c57d10-8eec-43f4-826c-d85d5c1fa368' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56c57d10-8eec-43f4-826c-d85d5c1fa368' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f34f119d-5310-4f49-9951-29b88b3f97e6' class='xr-var-data-in' type='checkbox'><label for='data-f34f119d-5310-4f49-9951-29b88b3f97e6' 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>-0.34935126</dd><dt><span>maxval :</span></dt><dd>0.089633144</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.08763208,  0.05991062,  0.01867512, ..., -0.17830575,
            -0.183377  , -0.183377  ],
           [ 0.08542784,  0.05852523,  0.01877064, ..., -0.18668696,
            -0.18898046, -0.18898046],
           [ 0.08635966,  0.05897016,  0.01661512, ..., -0.17808163,
            -0.18487673, -0.18487673],
           ...,
           [ 0.08486386,  0.05842535,  0.01790433, ..., -0.17746781,
            -0.1845307 , -0.1845307 ],
           [ 0.08014348,  0.0549238 ,  0.0206387 , ..., -0.20175052,
            -0.20483057, -0.20483057],
           [ 0.08212604,  0.05724021,  0.01824911, ..., -0.18875359,
            -0.18935032, -0.18935032]], shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_surface_wave_significant_height</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>4.076 4.179 4.741 ... 5.427 5.427</div><input id='attrs-3114d6f1-92e2-4212-bce6-3314e51cef7e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3114d6f1-92e2-4212-bce6-3314e51cef7e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4668d89-4d05-42bd-bff9-3176cca86cc5' class='xr-var-data-in' type='checkbox'><label for='data-f4668d89-4d05-42bd-bff9-3176cca86cc5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>minval :</span></dt><dd>4.0661755</dd><dt><span>maxval :</span></dt><dd>8.835266</dd></dl></div><div class='xr-var-data'><pre>array([[4.076231 , 4.179434 , 4.741392 , ..., 5.2980337, 5.3134575,
            5.3134575],
           [4.0885253, 4.2021384, 4.7483616, ..., 5.3763304, 5.3552017,
            5.3552017],
           [4.08209  , 4.1584826, 4.676738 , ..., 5.099395 , 5.1370945,
            5.1370945],
           ...,
           [4.08944  , 4.181636 , 4.7343426, ..., 5.2826724, 5.190339 ,
            5.190339 ],
           [4.0868526, 4.2143974, 4.827571 , ..., 5.3754225, 5.4348574,
            5.4348574],
           [4.085007 , 4.182791 , 4.74811  , ..., 5.4109836, 5.4275   ,
            5.4275   ]], shape=(1000, 25), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>7.627 7.959 8.395 ... 8.054 8.054</div><input id='attrs-c4a61e69-2568-4c53-a7fc-6d775ea1d697' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c4a61e69-2568-4c53-a7fc-6d775ea1d697' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6251d01a-755f-4875-994e-faab679fb38f' class='xr-var-data-in' type='checkbox'><label for='data-6251d01a-755f-4875-994e-faab679fb38f' 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>7.581873</dd><dt><span>maxval :</span></dt><dd>9.030858</dd></dl></div><div class='xr-var-data'><pre>array([[7.62697  , 7.95881  , 8.39485  , ..., 7.949391 , 7.956487 ,
            7.956487 ],
           [7.656808 , 7.97946  , 8.400419 , ..., 8.0275955, 8.019819 ,
            8.019819 ],
           [7.6340256, 7.8973413, 8.334709 , ..., 7.860817 , 7.8726406,
            7.8726406],
           ...,
           [7.651183 , 7.9276543, 8.383186 , ..., 7.9681163, 7.9090753,
            7.9090753],
           [7.649716 , 7.9417973, 8.472855 , ..., 7.869976 , 7.9039574,
            7.9039574],
           [7.6408157, 7.893512 , 8.394772 , ..., 8.018696 , 8.053651 ,
            8.053651 ]], shape=(1000, 25), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-af8bb317-51d7-44e6-adde-03b6e631cb78' class='xr-section-summary-in' type='checkbox'  ><label for='section-af8bb317-51d7-44e6-adde-03b6e631cb78' 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-2a86752a-8b37-4d4a-a755-90e3fc0c9bb1' class='xr-index-data-in' type='checkbox'/><label for='index-2a86752a-8b37-4d4a-a755-90e3fc0c9bb1' 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,
           ...
           990, 991, 992, 993, 994, 995, 996, 997, 998, 999],
          dtype=&#x27;int64&#x27;, name=&#x27;trajectory&#x27;, length=1000))</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-dce04d9c-58d4-4b65-95ec-033247beecce' class='xr-index-data-in' type='checkbox'/><label for='index-dce04d9c-58d4-4b65-95ec-033247beecce' 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;2026-03-25 08:26:26.272919&#x27;, &#x27;2026-03-25 09:26:26.272919&#x27;,
                   &#x27;2026-03-25 10:26:26.272919&#x27;, &#x27;2026-03-25 11:26:26.272919&#x27;,
                   &#x27;2026-03-25 12:26:26.272919&#x27;, &#x27;2026-03-25 13:26:26.272919&#x27;,
                   &#x27;2026-03-25 14:26:26.272919&#x27;, &#x27;2026-03-25 15:26:26.272919&#x27;,
                   &#x27;2026-03-25 16:26:26.272919&#x27;, &#x27;2026-03-25 17:26:26.272919&#x27;,
                   &#x27;2026-03-25 18:26:26.272919&#x27;, &#x27;2026-03-25 19:26:26.272919&#x27;,
                   &#x27;2026-03-25 20:26:26.272919&#x27;, &#x27;2026-03-25 21:26:26.272919&#x27;,
                   &#x27;2026-03-25 22:26:26.272919&#x27;, &#x27;2026-03-25 23:26:26.272919&#x27;,
                   &#x27;2026-03-26 00:26:26.272919&#x27;, &#x27;2026-03-26 01:26:26.272919&#x27;,
                   &#x27;2026-03-26 02:26:26.272919&#x27;, &#x27;2026-03-26 03:26:26.272919&#x27;,
                   &#x27;2026-03-26 04:26:26.272919&#x27;, &#x27;2026-03-26 05:26:26.272919&#x27;,
                   &#x27;2026-03-26 06:26:26.272919&#x27;, &#x27;2026-03-26 07:26:26.272919&#x27;,
                   &#x27;2026-03-26 08:26:26.272919&#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-46e530cb-7ac4-43bc-8c37-f70f39c41bc0' class='xr-section-summary-in' type='checkbox'  ><label for='section-46e530cb-7ac4-43bc-8c37-f70f39c41bc0' class='xr-section-summary' >Attributes: <span>(98)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.11, ACDD-1.3</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table v85</dd><dt><span>featureType :</span></dt><dd>trajectory</dd><dt><span>title :</span></dt><dd>OpenDrift trajectory simulation</dd><dt><span>summary :</span></dt><dd>Output from simulation with OpenDrift framework</dd><dt><span>keywords :</span></dt><dd>trajectory, drift, lagrangian, simulation</dd><dt><span>history :</span></dt><dd>Created 2026-03-25 08:26:30.460543</dd><dt><span>date_created :</span></dt><dd>2026-03-25T08:26:30.460556</dd><dt><span>source :</span></dt><dd>Output from simulation with OpenDrift</dd><dt><span>model_url :</span></dt><dd>https://github.com/OpenDrift/opendrift</dd><dt><span>opendrift_class :</span></dt><dd>ShipDrift</dd><dt><span>opendrift_module :</span></dt><dd>opendrift.models.shipdrift</dd><dt><span>readers :</span></dt><dd>odict_keys([&#x27;LazyReader: https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml&#x27;, &#x27;LazyReader: https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc&#x27;, &#x27;LazyReader: https://thredds.met.no/thredds/dodsC/cmems/mywavewam3km/dataset-wam-arctic-1hr3km-be.ncml&#x27;, &#x27;global_landmask&#x27;])</dd><dt><span>time_coverage_start :</span></dt><dd>2026-03-25 08:26:26.272919</dd><dt><span>time_step_calculation :</span></dt><dd>1:00:00</dd><dt><span>time_step_output :</span></dt><dd>1:00:00</dd><dt><span>config_environment:constant:x_wind :</span></dt><dd>None</dd><dt><span>config_environment:fallback:x_wind :</span></dt><dd>None</dd><dt><span>config_environment:constant:y_wind :</span></dt><dd>None</dd><dt><span>config_environment:fallback:y_wind :</span></dt><dd>None</dd><dt><span>config_environment:constant:land_binary_mask :</span></dt><dd>None</dd><dt><span>config_environment:fallback:land_binary_mask :</span></dt><dd>None</dd><dt><span>config_environment:constant:x_sea_water_velocity :</span></dt><dd>None</dd><dt><span>config_environment:fallback:x_sea_water_velocity :</span></dt><dd>None</dd><dt><span>config_environment:constant:y_sea_water_velocity :</span></dt><dd>None</dd><dt><span>config_environment:fallback:y_sea_water_velocity :</span></dt><dd>None</dd><dt><span>config_environment:constant:horizontal_diffusivity :</span></dt><dd>None</dd><dt><span>config_environment:fallback:horizontal_diffusivity :</span></dt><dd>100</dd><dt><span>config_environment:constant:sea_surface_wave_stokes_drift_x_velocity :</span></dt><dd>None</dd><dt><span>config_environment:fallback:sea_surface_wave_stokes_drift_x_velocity :</span></dt><dd>0</dd><dt><span>config_environment:constant:sea_surface_wave_stokes_drift_y_velocity :</span></dt><dd>None</dd><dt><span>config_environment:fallback:sea_surface_wave_stokes_drift_y_velocity :</span></dt><dd>0</dd><dt><span>config_environment:constant:sea_surface_wave_significant_height :</span></dt><dd>None</dd><dt><span>config_environment:fallback:sea_surface_wave_significant_height :</span></dt><dd>0</dd><dt><span>config_environment:constant:sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment :</span></dt><dd>None</dd><dt><span>config_environment:fallback:sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment :</span></dt><dd>0</dd><dt><span>config_general:use_auto_landmask :</span></dt><dd>True</dd><dt><span>config_drift:current_uncertainty :</span></dt><dd>0</dd><dt><span>config_drift:current_uncertainty_uniform :</span></dt><dd>0</dd><dt><span>config_drift:max_speed :</span></dt><dd>2.0</dd><dt><span>config_readers:max_number_of_fails :</span></dt><dd>1</dd><dt><span>config_general:simulation_name :</span></dt><dd></dd><dt><span>config_general:coastline_action :</span></dt><dd>stranding</dd><dt><span>config_general:coastline_approximation_precision :</span></dt><dd>0.001</dd><dt><span>config_general:time_step_minutes :</span></dt><dd>60</dd><dt><span>config_general:time_step_output_minutes :</span></dt><dd>None</dd><dt><span>config_seed:ocean_only :</span></dt><dd>True</dd><dt><span>config_seed:number :</span></dt><dd>1</dd><dt><span>config_drift:max_age_seconds :</span></dt><dd>None</dd><dt><span>config_drift:advection_scheme :</span></dt><dd>euler</dd><dt><span>config_drift:profiles_depth :</span></dt><dd>50</dd><dt><span>config_drift:wind_uncertainty :</span></dt><dd>0</dd><dt><span>config_drift:relative_wind :</span></dt><dd>False</dd><dt><span>config_drift:deactivate_north_of :</span></dt><dd>None</dd><dt><span>config_drift:deactivate_south_of :</span></dt><dd>None</dd><dt><span>config_drift:deactivate_east_of :</span></dt><dd>None</dd><dt><span>config_drift:deactivate_west_of :</span></dt><dd>None</dd><dt><span>config_seed:origin_marker :</span></dt><dd>0</dd><dt><span>config_seed:z :</span></dt><dd>0</dd><dt><span>config_seed:orientation :</span></dt><dd>random</dd><dt><span>config_seed:length :</span></dt><dd>80</dd><dt><span>config_seed:height :</span></dt><dd>8</dd><dt><span>config_seed:draft :</span></dt><dd>4.0</dd><dt><span>config_seed:beam :</span></dt><dd>10</dd><dt><span>config_seed:wind_drag_coeff :</span></dt><dd>1</dd><dt><span>config_seed:water_drag_coeff :</span></dt><dd>1</dd><dt><span>config_seed:jibeProbability :</span></dt><dd>0.04</dd><dt><span>opendrift_version :</span></dt><dd>1.14.9</dd><dt><span>seed_geojson :</span></dt><dd>{&quot;features&quot;: [], &quot;type&quot;: &quot;FeatureCollection&quot;}</dd><dt><span>simulation_time :</span></dt><dd>2026-03-25 08:26:30.468647</dd><dt><span>reader_x_wind :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc&#x27;]</dd><dt><span>reader_y_wind :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc&#x27;]</dd><dt><span>reader_land_binary_mask :</span></dt><dd>[&#x27;global_landmask&#x27;]</dd><dt><span>reader_x_sea_water_velocity :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml&#x27;, &#x27;https://thredds.met.no/thredds/dodsC/cmems/mywavewam3km/dataset-wam-arctic-1hr3km-be.ncml&#x27;]</dd><dt><span>reader_y_sea_water_velocity :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml&#x27;, &#x27;https://thredds.met.no/thredds/dodsC/cmems/mywavewam3km/dataset-wam-arctic-1hr3km-be.ncml&#x27;]</dd><dt><span>reader_horizontal_diffusivity :</span></dt><dd>100</dd><dt><span>reader_sea_surface_wave_stokes_drift_x_velocity :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/cmems/mywavewam3km/dataset-wam-arctic-1hr3km-be.ncml&#x27;]</dd><dt><span>reader_sea_surface_wave_stokes_drift_y_velocity :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/cmems/mywavewam3km/dataset-wam-arctic-1hr3km-be.ncml&#x27;]</dd><dt><span>reader_sea_surface_wave_significant_height :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/cmems/mywavewam3km/dataset-wam-arctic-1hr3km-be.ncml&#x27;]</dd><dt><span>reader_sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/cmems/mywavewam3km/dataset-wam-arctic-1hr3km-be.ncml&#x27;]</dd><dt><span>time_coverage_end :</span></dt><dd>2026-03-26 08:26:26.272919</dd><dt><span>time_coverage_duration :</span></dt><dd>P1DT0H0M0S</dd><dt><span>time_coverage_resolution :</span></dt><dd>P0DT1H0M0S</dd><dt><span>performance :</span></dt><dd>--------------------
    Reader performance:
    --------------------
    global_landmask
     0:00:01.7  total
     0:00:00.0  preparing
     0:00:01.7  reading
     0:00:00.0  masking
    --------------------
    https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
     0:00:16.9  total
     0:00:00.0  preparing
     0:00:16.9  reading
     0:00:00.0  interpolation
     0:00:00.0  interpolation_time
     0:00:00.0  rotating vectors
     0:00:00.0  masking
    --------------------
    https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc
     0:00:25.4  total
     0:00:00.0  preparing
     0:00:25.3  reading
     0:00:00.2  interpolation
     0:00:00.0  interpolation_time
     0:00:00.0  rotating vectors
     0:00:00.0  masking
    --------------------
    https://thredds.met.no/thredds/dodsC/cmems/mywavewam3km/dataset-wam-arctic-1hr3km-be.ncml
     0:00:19.7  total
     0:00:00.0  preparing
     0:00:19.6  reading
     0:00:00.0  interpolation
     0:00:00.0  interpolation_time
     0:00:00.0  rotating vectors
     0:00:00.0  masking
    --------------------
    Performance:
     1:14.8 total time
        4.2 configuration
        0.0 preparing main loop
          0.0 moving elements to ocean
     1:08.8 main loop
          0.4 updating elements
        1.7 cleaning up
    --------------------
    </dd><dt><span>geospatial_bounds_crs :</span></dt><dd>EPSG:4326</dd><dt><span>geospatial_bounds_vertical_crs :</span></dt><dd>EPSG:5831</dd><dt><span>geospatial_lat_min :</span></dt><dd>62.50884</dd><dt><span>geospatial_lat_max :</span></dt><dd>63.1234</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>4.938629</dd><dt><span>geospatial_lon_max :</span></dt><dd>6.0857654</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>point</dd><dt><span>runtime :</span></dt><dd>0:01:14.879596</dd><dt><span>geospatial_vertical_min :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_max :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_positive :</span></dt><dd>up</dd></dl></div></li></ul></div></div>
    </div>
    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 30-31

Print and plot results

.. GENERATED FROM PYTHON SOURCE LINES 31-36

.. code-block:: Python

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




.. image-sg:: /gallery/images/sphx_glr_example_shipdrift_001.png
   :alt: OpenDrift - ShipDrift 2026-03-25 08:26 to 2026-03-26 08:26 UTC (25 steps)
   :srcset: /gallery/images/sphx_glr_example_shipdrift_001.png
   :class: sphx-glr-single-img


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

 .. code-block:: none

    ===========================
    --------------------
    Reader performance:
    --------------------
    global_landmask
     0:00:01.7  total
     0:00:00.0  preparing
     0:00:01.7  reading
     0:00:00.0  masking
    --------------------
    https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
     0:00:16.9  total
     0:00:00.0  preparing
     0:00:16.9  reading
     0:00:00.0  interpolation
     0:00:00.0  interpolation_time
     0:00:00.0  rotating vectors
     0:00:00.0  masking
    --------------------
    https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc
     0:00:25.4  total
     0:00:00.0  preparing
     0:00:25.3  reading
     0:00:00.2  interpolation
     0:00:00.0  interpolation_time
     0:00:00.0  rotating vectors
     0:00:00.0  masking
    --------------------
    https://thredds.met.no/thredds/dodsC/cmems/mywavewam3km/dataset-wam-arctic-1hr3km-be.ncml
     0:00:19.7  total
     0:00:00.0  preparing
     0:00:19.6  reading
     0:00:00.0  interpolation
     0:00:00.0  interpolation_time
     0:00:00.0  rotating vectors
     0:00:00.0  masking
    --------------------
    Performance:
     1:14.8 total time
        4.2 configuration
        0.0 preparing main loop
          0.0 moving elements to ocean
     1:08.8 main loop
          0.4 updating elements
        1.7 cleaning up
    --------------------
    ===========================
    Model:  ShipDrift     (OpenDrift version 1.14.9)
            1000 active ShipObject particles  (0 deactivated, 0 scheduled)
    -------------------
    Environment variables:
      -----
      land_binary_mask
         1) global_landmask
      -----
      x_sea_water_velocity
      y_sea_water_velocity
         1) https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
         2) https://thredds.met.no/thredds/dodsC/cmems/mywavewam3km/dataset-wam-arctic-1hr3km-be.ncml
      -----
      x_wind
      y_wind
         1) https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc
      -----
      sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment
      sea_surface_wave_significant_height
      sea_surface_wave_stokes_drift_x_velocity
      sea_surface_wave_stokes_drift_y_velocity
         1) https://thredds.met.no/thredds/dodsC/cmems/mywavewam3km/dataset-wam-arctic-1hr3km-be.ncml
      -----
    Readers not added for the following variables:
      horizontal_diffusivity

    Discarded readers:

    Time:
            Start: 2026-03-25 08:26:26.272919 UTC
            Present: 2026-03-26 08:26:26.272919 UTC
            Calculation steps: 24 * 1:00:00 - total time: 1 day, 0:00:00
            Output steps: 25 * 1:00:00
    ===========================

    08:28:10 INFO    opendrift:4697: Saving animation to /root/project/docs/source/gallery/animations/example_shipdrift_0.gif...
    08:28:29 INFO    opendrift:3120: Time to make animation: 0:00:20.533835




.. GENERATED FROM PYTHON SOURCE LINES 37-38

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


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

   **Total running time of the script:** (2 minutes 11.328 seconds)


.. _sphx_glr_download_gallery_example_shipdrift.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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