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

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

.. _sphx_glr_gallery_example_sediments.py:


Sediment drift from Glomma river outlet
=======================================

.. GENERATED FROM PYTHON SOURCE LINES 6-22

.. code-block:: Python


    from datetime import timedelta, datetime
    from opendrift.models.sedimentdrift import SedimentDrift

    o = SedimentDrift(loglevel=20)  # 0 for debug output

    if False:  # Using constant south-westwards current and wind
        o.set_config('environment:fallback:x_sea_water_velocity', -.05)
        o.set_config('environment:fallback:y_sea_water_velocity', -.1)
        o.set_config('environment:fallback:y_wind', -6)
        o.set_config('environment:fallback:x_wind', -2)
        o.set_config('environment:fallback:sea_floor_depth_below_sea_level', 100)  # 100m depth
    else:  # Using live data from Thredds
        o.add_readers_from_list([
            'https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be'])





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

 .. code-block:: none

    16:05:52 INFO    opendrift:569: OpenDriftSimulation initialised (version 1.14.10 / v1.14.10-34-gf7a892a)




.. GENERATED FROM PYTHON SOURCE LINES 23-24

Adding some diffusion

.. GENERATED FROM PYTHON SOURCE LINES 24-29

.. code-block:: Python

    o.set_config('drift:current_uncertainty', .2)
    o.set_config('drift:wind_uncertainty', 2)
    o.set_config('vertical_mixing:diffusivitymodel', 'windspeed_Large1994')
    #o.set_config('vertical_mixing:diffusivitymodel', 'environment')








.. GENERATED FROM PYTHON SOURCE LINES 30-31

Source of sediments at Glomma river outlet

.. GENERATED FROM PYTHON SOURCE LINES 31-39

.. code-block:: Python

    lat=59.169194
    lon=10.962920
    o.seed_elements(lon=lon, lat=lat, number=10000,
                    time=[datetime.now(), datetime.now()+timedelta(hours=48)],
                    terminal_velocity=-.001)  # 1 mm/s settling speed

    o.run(time_step=600, time_step_output=1800, duration=timedelta(hours=36))





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

 .. code-block:: none

    16:05:52 INFO    opendrift.models.basemodel.environment:203: Adding a global landmask from GSHHG
    16:06:00 INFO    opendrift.models.basemodel.environment:227: Fallback values will be used for the following variables which have no readers: 
    16:06:00 INFO    opendrift.models.basemodel.environment:230:    x_sea_water_velocity: 0.000000
    16:06:00 INFO    opendrift.models.basemodel.environment:230:    y_sea_water_velocity: 0.000000
    16:06:00 INFO    opendrift.models.basemodel.environment:230:    sea_surface_height: 0.000000
    16:06:00 INFO    opendrift.models.basemodel.environment:230:    upward_sea_water_velocity: 0.000000
    16:06:00 INFO    opendrift.models.basemodel.environment:230:    x_wind: 0.000000
    16:06:00 INFO    opendrift.models.basemodel.environment:230:    y_wind: 0.000000
    16:06:00 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_stokes_drift_x_velocity: 0.000000
    16:06:00 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_stokes_drift_y_velocity: 0.000000
    16:06:00 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_period_at_variance_spectral_density_maximum: 0.000000
    16:06:00 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment: 0.000000
    16:06:00 INFO    opendrift.models.basemodel.environment:230:    ocean_vertical_diffusivity: 0.020000
    16:06:00 INFO    opendrift.models.basemodel.environment:230:    ocean_mixed_layer_thickness: 50.000000
    16:06:00 INFO    opendrift.models.basemodel.environment:230:    sea_floor_depth_below_sea_level: 10000.000000
    16:06:00 INFO    opendrift:1914: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
    16:06:00 INFO    opendrift:1914: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
    16:06:00 INFO    opendrift:955: Using existing reader for land_binary_mask to move elements to ocean
    16:06:00 INFO    opendrift:986: All points are in ocean
    16:06:00 INFO    opendrift:2213: 2026-08-21 16:05:52.882228 - step 1 of 216 - 35 active elements (0 deactivated)
    16:06:00 INFO    opendrift.readers:67: Opening file with xr.open_dataset
    16:06:03 INFO    opendrift.readers.reader_netCDF_CF_generic:340: Detected dimensions: {'x': 'X', 'y': 'Y', 'z': 'depth', 'time': 'time'}
    16:06:03 INFO    opendrift.readers.basereader:175: Variable x_sea_water_velocity will be rotated from eastward_sea_water_velocity
    16:06:03 INFO    opendrift.readers.basereader:175: Variable y_sea_water_velocity will be rotated from northward_sea_water_velocity
    16:06:03 INFO    opendrift.readers.basereader:175: Variable x_wind will be rotated from eastward_wind
    16:06:03 INFO    opendrift.readers.basereader:175: Variable y_wind will be rotated from northward_wind
    16:06:06 INFO    opendrift:2213: 2026-08-21 16:15:52.882228 - step 2 of 216 - 70 active elements (0 deactivated)
    16:06:06 INFO    opendrift:2213: 2026-08-21 16:25:52.882228 - step 3 of 216 - 105 active elements (0 deactivated)
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    16:07:44 INFO    opendrift:2213: 2026-08-23 03:55:52.882228 - step 216 of 216 - 7500 active elements (0 deactivated)
    16:07:44 INFO    opendrift:2323: Removing 2500 unseeded elements


.. raw:: html

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    :root {
      --xr-font-color0: var(
        --jp-content-font-color0,
        var(--pst-color-text-base rgba(0, 0, 0, 1))
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      --xr-font-color2: var(
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      --xr-font-color3: var(
        --jp-content-font-color3,
        var(--pst-color-text-base, rgba(0, 0, 0, 0.38))
      );
      --xr-border-color: var(
        --jp-border-color2,
        hsl(from var(--pst-color-on-background, white) h s calc(l - 10))
      );
      --xr-disabled-color: var(
        --jp-layout-color3,
        hsl(from var(--pst-color-on-background, white) h s calc(l - 40))
      );
      --xr-background-color: var(
        --jp-layout-color0,
        var(--pst-color-on-background, white)
      );
      --xr-background-color-row-even: var(
        --jp-layout-color1,
        hsl(from var(--pst-color-on-background, white) h s calc(l - 5))
      );
      --xr-background-color-row-odd: var(
        --jp-layout-color2,
        hsl(from var(--pst-color-on-background, white) h s calc(l - 15))
      );
    }

    html[theme="dark"],
    html[data-theme="dark"],
    body[data-theme="dark"],
    body.vscode-dark {
      --xr-font-color0: var(
        --jp-content-font-color0,
        var(--pst-color-text-base, rgba(255, 255, 255, 1))
      );
      --xr-font-color2: var(
        --jp-content-font-color2,
        var(--pst-color-text-base, rgba(255, 255, 255, 0.54))
      );
      --xr-font-color3: var(
        --jp-content-font-color3,
        var(--pst-color-text-base, rgba(255, 255, 255, 0.38))
      );
      --xr-border-color: var(
        --jp-border-color2,
        hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))
      );
      --xr-disabled-color: var(
        --jp-layout-color3,
        hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))
      );
      --xr-background-color: var(
        --jp-layout-color0,
        var(--pst-color-on-background, #111111)
      );
      --xr-background-color-row-even: var(
        --jp-layout-color1,
        hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))
      );
      --xr-background-color-row-odd: var(
        --jp-layout-color2,
        hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))
      );
    }

    .xr-wrap {
      display: block !important;
      min-width: 300px;
      max-width: 700px;
      line-height: 1.6;
      padding-bottom: 4px;
    }

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

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

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

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

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

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

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

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

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

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

    .xr-section-item > input:enabled + label,
    .xr-var-item > input:enabled + label,
    .xr-array-wrap > input:enabled + label,
    .xr-group-box-contents > input:enabled + label {
      cursor: pointer;
      color: var(--xr-font-color2);
    }

    .xr-section-item > input:focus-visible + label,
    .xr-var-item > input:focus-visible + label,
    .xr-array-wrap > input:focus-visible + label,
    .xr-group-box-contents > input:focus-visible + label {
      outline: auto;
    }

    .xr-section-item > input:enabled + label:hover,
    .xr-var-item > input:enabled + label:hover,
    .xr-array-wrap > input:enabled + label:hover,
    .xr-group-box-contents > input:enabled + label:hover {
      color: var(--xr-font-color0);
    }

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

    .xr-section-summary > em {
      font-weight: normal;
    }

    .xr-span-grid {
      grid-column-end: -1;
    }

    .xr-section-summary > span {
      display: inline-block;
      padding-left: 0.3em;
    }

    .xr-group-box-contents > input:checked + label > span {
      display: inline-block;
      padding-left: 0.6em;
    }

    .xr-section-summary-in:disabled + label {
      color: var(--xr-font-color2);
    }

    .xr-section-summary-in + label:before {
      display: inline-block;
      content: "►";
      font-size: 11px;
      width: 15px;
      text-align: center;
    }

    .xr-section-summary-in:disabled + label:before {
      color: var(--xr-disabled-color);
    }

    .xr-section-summary-in:checked + label:before {
      content: "▼";
    }

    .xr-section-summary-in:checked + label > span {
      display: none;
    }

    .xr-section-summary,
    .xr-section-inline-details,
    .xr-group-box-contents > label {
      padding-top: 4px;
    }

    .xr-section-inline-details {
      grid-column: 2 / -1;
    }

    .xr-section-details {
      grid-column: 1 / -1;
      margin-top: 4px;
      margin-bottom: 5px;
    }

    .xr-section-summary-in ~ .xr-section-details {
      display: none;
    }

    .xr-section-summary-in:checked ~ .xr-section-details {
      display: contents;
    }

    .xr-children {
      display: inline-grid;
      grid-template-columns: 100%;
      grid-column: 1 / -1;
      padding-top: 4px;
    }

    .xr-group-box {
      display: inline-grid;
      grid-template-columns: 0px 30px auto;
    }

    .xr-group-box-vline {
      grid-column-start: 1;
      border-right: 0.2em solid;
      border-color: var(--xr-border-color);
      width: 0px;
    }

    .xr-group-box-hline {
      grid-column-start: 2;
      grid-row-start: 1;
      height: 1em;
      width: 26px;
      border-bottom: 0.2em solid;
      border-color: var(--xr-border-color);
    }

    .xr-group-box-contents {
      grid-column-start: 3;
      padding-bottom: 4px;
    }

    .xr-group-box-contents > label::before {
      content: "📂";
      padding-right: 0.3em;
    }

    .xr-group-box-contents > input:checked + label::before {
      content: "📁";
    }

    .xr-group-box-contents > input:checked + label {
      padding-bottom: 0px;
    }

    .xr-group-box-contents > input:checked ~ .xr-sections {
      display: none;
    }

    .xr-group-box-contents > input + label > span {
      display: none;
    }

    .xr-group-box-ellipsis {
      font-size: 1.4em;
      font-weight: 900;
      color: var(--xr-font-color2);
      letter-spacing: 0.15em;
      cursor: default;
    }

    .xr-array-wrap {
      grid-column: 1 / -1;
      display: grid;
      grid-template-columns: 20px auto;
    }

    .xr-array-wrap > label {
      grid-column: 1;
      vertical-align: top;
    }

    .xr-preview {
      color: var(--xr-font-color3);
    }

    .xr-array-preview,
    .xr-array-data {
      padding: 0 5px !important;
      grid-column: 2;
    }

    .xr-array-data,
    .xr-array-in:checked ~ .xr-array-preview {
      display: none;
    }

    .xr-array-in:checked ~ .xr-array-data,
    .xr-array-preview {
      display: inline-block;
    }

    .xr-dim-list {
      display: inline-block !important;
      list-style: none;
      padding: 0 !important;
      margin: 0;
    }

    .xr-dim-list li {
      display: inline-block;
      padding: 0;
      margin: 0;
    }

    .xr-dim-list:before {
      content: "(";
    }

    .xr-dim-list:after {
      content: ")";
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      color: var(--xr-font-color0);
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      stroke-width: 0.8px;
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    </style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 55MB
    Dimensions:                                                                              (
                                                                                              trajectory: 7500,
                                                                                              time: 73)
    Coordinates:
      * trajectory                                                                           (trajectory) int64 60kB ...
      * time                                                                                 (time) datetime64[ns] 584B ...
    Data variables: (12/25)
        status                                                                               (trajectory, time) float32 2MB ...
        moving                                                                               (trajectory, time) float32 2MB ...
        age_seconds                                                                          (trajectory, time) float32 2MB ...
        origin_marker                                                                        (trajectory, time) float32 2MB ...
        lon                                                                                  (trajectory, time) float32 2MB ...
        lat                                                                                  (trajectory, time) float32 2MB ...
        ...                                                                                   ...
        sea_surface_wave_period_at_variance_spectral_density_maximum                         (trajectory, time) float32 2MB ...
        sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment  (trajectory, time) float32 2MB ...
        land_binary_mask                                                                     (trajectory, time) float32 2MB ...
        ocean_vertical_diffusivity                                                           (trajectory, time) float32 2MB ...
        ocean_mixed_layer_thickness                                                          (trajectory, time) float32 2MB ...
        sea_floor_depth_below_sea_level                                                      (trajectory, time) float32 2MB ...
    Attributes: (12/125)
        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-c24f737f-191c-492c-a0a3-db628f8cf155' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-c24f737f-191c-492c-a0a3-db628f8cf155' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>trajectory</span>: 7500</li><li><span class='xr-has-index'>time</span>: 73</li></ul></div></li><li class='xr-section-item'><input id='section-2438e8a7-263a-4678-bc21-3a7c9313323c' class='xr-section-summary-in' type='checkbox' checked /><label for='section-2438e8a7-263a-4678-bc21-3a7c9313323c' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>trajectory</span></div><div class='xr-var-dims'>(trajectory)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 7496 7497 7498 7499</div><input id='attrs-0a4b0f41-f758-40ec-ae35-1315e621bae4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a4b0f41-f758-40ec-ae35-1315e621bae4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9eb84652-6bc3-4afc-8016-62e3b66322fd' class='xr-var-data-in' type='checkbox'><label for='data-9eb84652-6bc3-4afc-8016-62e3b66322fd' 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, ..., 7497, 7498, 7499], shape=(7500,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2026-08-21T16:05:52.882228 ... 2...</div><input id='attrs-373756fa-d05d-4a65-afcb-8e8a0227e7c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-373756fa-d05d-4a65-afcb-8e8a0227e7c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c620940f-1f3e-4473-af01-7786854a1960' class='xr-var-data-in' type='checkbox'><label for='data-c620940f-1f3e-4473-af01-7786854a1960' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float64&#x27;&gt;</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2026-08-21T16:05:52.882228000&#x27;, &#x27;2026-08-21T16:35:52.882228000&#x27;,
           &#x27;2026-08-21T17:05:52.882228000&#x27;, &#x27;2026-08-21T17:35:52.882228000&#x27;,
           &#x27;2026-08-21T18:05:52.882228000&#x27;, &#x27;2026-08-21T18:35:52.882228000&#x27;,
           &#x27;2026-08-21T19:05:52.882228000&#x27;, &#x27;2026-08-21T19:35:52.882228000&#x27;,
           &#x27;2026-08-21T20:05:52.882228000&#x27;, &#x27;2026-08-21T20:35:52.882228000&#x27;,
           &#x27;2026-08-21T21:05:52.882228000&#x27;, &#x27;2026-08-21T21:35:52.882228000&#x27;,
           &#x27;2026-08-21T22:05:52.882228000&#x27;, &#x27;2026-08-21T22:35:52.882228000&#x27;,
           &#x27;2026-08-21T23:05:52.882228000&#x27;, &#x27;2026-08-21T23:35:52.882228000&#x27;,
           &#x27;2026-08-22T00:05:52.882228000&#x27;, &#x27;2026-08-22T00:35:52.882228000&#x27;,
           &#x27;2026-08-22T01:05:52.882228000&#x27;, &#x27;2026-08-22T01:35:52.882228000&#x27;,
           &#x27;2026-08-22T02:05:52.882228000&#x27;, &#x27;2026-08-22T02:35:52.882228000&#x27;,
           &#x27;2026-08-22T03:05:52.882228000&#x27;, &#x27;2026-08-22T03:35:52.882228000&#x27;,
           &#x27;2026-08-22T04:05:52.882228000&#x27;, &#x27;2026-08-22T04:35:52.882228000&#x27;,
           &#x27;2026-08-22T05:05:52.882228000&#x27;, &#x27;2026-08-22T05:35:52.882228000&#x27;,
           &#x27;2026-08-22T06:05:52.882228000&#x27;, &#x27;2026-08-22T06:35:52.882228000&#x27;,
           &#x27;2026-08-22T07:05:52.882228000&#x27;, &#x27;2026-08-22T07:35:52.882228000&#x27;,
           &#x27;2026-08-22T08:05:52.882228000&#x27;, &#x27;2026-08-22T08:35:52.882228000&#x27;,
           &#x27;2026-08-22T09:05:52.882228000&#x27;, &#x27;2026-08-22T09:35:52.882228000&#x27;,
           &#x27;2026-08-22T10:05:52.882228000&#x27;, &#x27;2026-08-22T10:35:52.882228000&#x27;,
           &#x27;2026-08-22T11:05:52.882228000&#x27;, &#x27;2026-08-22T11:35:52.882228000&#x27;,
           &#x27;2026-08-22T12:05:52.882228000&#x27;, &#x27;2026-08-22T12:35:52.882228000&#x27;,
           &#x27;2026-08-22T13:05:52.882228000&#x27;, &#x27;2026-08-22T13:35:52.882228000&#x27;,
           &#x27;2026-08-22T14:05:52.882228000&#x27;, &#x27;2026-08-22T14:35:52.882228000&#x27;,
           &#x27;2026-08-22T15:05:52.882228000&#x27;, &#x27;2026-08-22T15:35:52.882228000&#x27;,
           &#x27;2026-08-22T16:05:52.882228000&#x27;, &#x27;2026-08-22T16:35:52.882228000&#x27;,
           &#x27;2026-08-22T17:05:52.882228000&#x27;, &#x27;2026-08-22T17:35:52.882228000&#x27;,
           &#x27;2026-08-22T18:05:52.882228000&#x27;, &#x27;2026-08-22T18:35:52.882228000&#x27;,
           &#x27;2026-08-22T19:05:52.882228000&#x27;, &#x27;2026-08-22T19:35:52.882228000&#x27;,
           &#x27;2026-08-22T20:05:52.882228000&#x27;, &#x27;2026-08-22T20:35:52.882228000&#x27;,
           &#x27;2026-08-22T21:05:52.882228000&#x27;, &#x27;2026-08-22T21:35:52.882228000&#x27;,
           &#x27;2026-08-22T22:05:52.882228000&#x27;, &#x27;2026-08-22T22:35:52.882228000&#x27;,
           &#x27;2026-08-22T23:05:52.882228000&#x27;, &#x27;2026-08-22T23:35:52.882228000&#x27;,
           &#x27;2026-08-23T00:05:52.882228000&#x27;, &#x27;2026-08-23T00:35:52.882228000&#x27;,
           &#x27;2026-08-23T01:05:52.882228000&#x27;, &#x27;2026-08-23T01:35:52.882228000&#x27;,
           &#x27;2026-08-23T02:05:52.882228000&#x27;, &#x27;2026-08-23T02:35:52.882228000&#x27;,
           &#x27;2026-08-23T03:05:52.882228000&#x27;, &#x27;2026-08-23T03:35:52.882228000&#x27;,
           &#x27;2026-08-23T04:05:52.882228000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5b9dad91-171c-4e34-8e67-e302d4e7f867' class='xr-section-summary-in' type='checkbox' /><label for='section-5b9dad91-171c-4e34-8e67-e302d4e7f867' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(25)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>status</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan 0.0</div><input id='attrs-173048c1-843e-43f2-a502-2ed4534f742d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-173048c1-843e-43f2-a502-2ed4534f742d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68032007-9de7-4cc1-86ae-78114040c380' class='xr-var-data-in' type='checkbox'><label for='data-68032007-9de7-4cc1-86ae-78114040c380' 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.],
           ...,
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.]],
          shape=(7500, 73), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>moving</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.0 1.0 1.0 1.0 ... nan nan nan 1.0</div><input id='attrs-8c9263a9-5ab6-4120-ac09-f906703d428e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c9263a9-5ab6-4120-ac09-f906703d428e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-918c2edc-26d5-48a8-b956-fbb32bfb70a1' class='xr-var-data-in' type='checkbox'><label for='data-918c2edc-26d5-48a8-b956-fbb32bfb70a1' 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.],
           ...,
           [nan, nan, nan, ..., nan, nan,  1.],
           [nan, nan, nan, ..., nan, nan,  1.],
           [nan, nan, nan, ..., nan, nan,  1.]],
          shape=(7500, 73), 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 1.8e+03 3.6e+03 ... nan 600.0</div><input id='attrs-6157da1e-020f-4b61-bc33-73c6255d44df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6157da1e-020f-4b61-bc33-73c6255d44df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eba9c33d-6ab0-40c8-b2a2-76db3981388e' class='xr-var-data-in' type='checkbox'><label for='data-eba9c33d-6ab0-40c8-b2a2-76db3981388e' 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>129600.0</dd></dl></div><div class='xr-var-data'><pre>array([[     0.,   1800.,   3600., ..., 126000., 127800., 129600.],
           [     0.,   1800.,   3600., ..., 126000., 127800., 129600.],
           [     0.,   1800.,   3600., ..., 126000., 127800., 129600.],
           ...,
           [    nan,     nan,     nan, ...,     nan,     nan,    600.],
           [    nan,     nan,     nan, ...,     nan,     nan,    600.],
           [    nan,     nan,     nan, ...,     nan,     nan,    600.]],
          shape=(7500, 73), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>origin_marker</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan 0.0</div><input id='attrs-2c964d28-3024-4002-a671-24289221490d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c964d28-3024-4002-a671-24289221490d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46be15a3-2eca-49a2-a96a-06753411ea2a' class='xr-var-data-in' type='checkbox'><label for='data-46be15a3-2eca-49a2-a96a-06753411ea2a' 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.],
           ...,
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.]],
          shape=(7500, 73), 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'>10.96 10.98 10.98 ... nan nan 10.97</div><input id='attrs-11be7fdb-1c2c-44f1-845f-b96dc8a89ae8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11be7fdb-1c2c-44f1-845f-b96dc8a89ae8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e22fe5b-a5ad-4c15-860c-14e0442afa1c' class='xr-var-data-in' type='checkbox'><label for='data-9e22fe5b-a5ad-4c15-860c-14e0442afa1c' 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>10.733639</dd><dt><span>maxval :</span></dt><dd>11.117497</dd></dl></div><div class='xr-var-data'><pre>array([[10.96292 , 10.975028, 10.978885, ..., 10.866358, 10.866358,
            10.866358],
           [10.96292 , 10.972561, 10.977866, ..., 10.965661, 10.965661,
            10.965661],
           [10.96292 , 10.972419, 10.980392, ..., 10.952334, 10.951849,
            10.945875],
           ...,
           [      nan,       nan,       nan, ...,       nan,       nan,
            10.964667],
           [      nan,       nan,       nan, ...,       nan,       nan,
            10.965894],
           [      nan,       nan,       nan, ...,       nan,       nan,
            10.966214]], shape=(7500, 73), 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'>59.17 59.17 59.17 ... nan nan 59.17</div><input id='attrs-26dbb818-35a8-4bfb-b921-44a99c0a197c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-26dbb818-35a8-4bfb-b921-44a99c0a197c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb898665-4296-4780-a3cf-6939f3824e51' class='xr-var-data-in' type='checkbox'><label for='data-cb898665-4296-4780-a3cf-6939f3824e51' 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>58.79494</dd><dt><span>maxval :</span></dt><dd>59.186043</dd></dl></div><div class='xr-var-data'><pre>array([[59.169193, 59.169353, 59.170185, ..., 59.10849 , 59.10849 ,
            59.10849 ],
           [59.169193, 59.17192 , 59.168976, ..., 58.986786, 58.986786,
            58.986786],
           [59.169193, 59.168377, 59.168533, ..., 58.989975, 58.989998,
            58.98851 ],
           ...,
           [      nan,       nan,       nan, ...,       nan,       nan,
            59.1682  ],
           [      nan,       nan,       nan, ...,       nan,       nan,
            59.16816 ],
           [      nan,       nan,       nan, ...,       nan,       nan,
            59.168278]], shape=(7500, 73), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan 0.0</div><input id='attrs-bda86cdb-96a2-43d1-bde1-788cdfe81857' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bda86cdb-96a2-43d1-bde1-788cdfe81857' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a81fcc3-9a75-4630-93f9-da0fedad72a7' class='xr-var-data-in' type='checkbox'><label for='data-2a81fcc3-9a75-4630-93f9-da0fedad72a7' 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.],
           ...,
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.]],
          shape=(7500, 73), 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'>0.02 0.02 0.02 ... nan nan 0.02</div><input id='attrs-ec30d5f0-db08-4d5f-a0a2-22b698e936f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec30d5f0-db08-4d5f-a0a2-22b698e936f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac487795-d1d9-4215-a32f-c4409477ce2c' class='xr-var-data-in' type='checkbox'><label for='data-ac487795-d1d9-4215-a32f-c4409477ce2c' 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 at surface are moved with this fraction of the vind vector, in addition to currents and Stokes drift</dd><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, ..., 0.02, 0.02, 0.02],
           ...,
           [ nan,  nan,  nan, ...,  nan,  nan, 0.02],
           [ nan,  nan,  nan, ...,  nan,  nan, 0.02],
           [ nan,  nan,  nan, ...,  nan,  nan, 0.02]],
          shape=(7500, 73), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>current_drift_factor</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.0 1.0 1.0 1.0 ... nan nan nan 1.0</div><input id='attrs-e8ab0d20-59a1-43ca-916d-92329c6a7675' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8ab0d20-59a1-43ca-916d-92329c6a7675' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b566bdb9-8b08-4e55-9552-b99c507339a5' class='xr-var-data-in' type='checkbox'><label for='data-b566bdb9-8b08-4e55-9552-b99c507339a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>description :</span></dt><dd>Elements are moved with this fraction of the current vector, in addition to currents and Stokes drift</dd><dt><span>minval :</span></dt><dd>1.0</dd><dt><span>maxval :</span></dt><dd>1.0</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.],
           ...,
           [nan, nan, nan, ..., nan, nan,  1.],
           [nan, nan, nan, ..., nan, nan,  1.],
           [nan, nan, nan, ..., nan, nan,  1.]],
          shape=(7500, 73), 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'>-0.001 -0.001 -0.001 ... nan -0.001</div><input id='attrs-45415445-8deb-4b18-a453-aff6029e4bf7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45415445-8deb-4b18-a453-aff6029e4bf7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f626518-694b-49bc-820a-9c5a44f00a38' class='xr-var-data-in' type='checkbox'><label for='data-9f626518-694b-49bc-820a-9c5a44f00a38' 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>minval :</span></dt><dd>-0.001</dd><dt><span>maxval :</span></dt><dd>-0.001</dd></dl></div><div class='xr-var-data'><pre>array([[-0.001, -0.001, -0.001, ..., -0.001, -0.001, -0.001],
           [-0.001, -0.001, -0.001, ..., -0.001, -0.001, -0.001],
           [-0.001, -0.001, -0.001, ..., -0.001, -0.001, -0.001],
           ...,
           [   nan,    nan,    nan, ...,    nan,    nan, -0.001],
           [   nan,    nan,    nan, ...,    nan,    nan, -0.001],
           [   nan,    nan,    nan, ...,    nan,    nan, -0.001]],
          shape=(7500, 73), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>settled</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan 0.0</div><input id='attrs-68f61c7a-e5a3-4fa2-b888-08ffa4b329dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68f61c7a-e5a3-4fa2-b888-08ffa4b329dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9859eb9-45ff-464d-8cce-283b62b1f0f4' class='xr-var-data-in' type='checkbox'><label for='data-f9859eb9-45ff-464d-8cce-283b62b1f0f4' 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>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.],
           ...,
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.]],
          shape=(7500, 73), 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'>0.5071 0.3161 ... nan 0.3255</div><input id='attrs-ad6acda6-b0ae-49e0-8c97-b28140df5a63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad6acda6-b0ae-49e0-8c97-b28140df5a63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef524c82-5c3e-4b40-93af-40e3f1c8e318' class='xr-var-data-in' type='checkbox'><label for='data-ef524c82-5c3e-4b40-93af-40e3f1c8e318' 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>-1.027614</dd><dt><span>maxval :</span></dt><dd>1.0603817</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.50711805,  0.31613415, -0.25125116, ..., -0.08727305,
            -0.21398987, -0.13224696],
           [ 0.23433901,  0.17391779,  0.57258624, ..., -0.03013916,
            -0.31754178, -0.38150677],
           [ 0.35005516,  0.38314098,  0.18203805, ...,  0.08472567,
            -0.06555547, -0.071807  ],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.12512381],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.21939838],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.32554474]], shape=(7500, 73), 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'>-0.07004 -0.09181 ... nan -0.13</div><input id='attrs-3e55fd41-0e61-4b23-a3e1-a005b2011c31' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e55fd41-0e61-4b23-a3e1-a005b2011c31' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47061dad-7866-4247-9df3-ef8de7f19328' class='xr-var-data-in' type='checkbox'><label for='data-47061dad-7866-4247-9df3-ef8de7f19328' 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>-1.1878263</dd><dt><span>maxval :</span></dt><dd>0.997905</dd></dl></div><div class='xr-var-data'><pre>array([[-0.07004443, -0.09180798,  0.14138068, ...,  0.0902283 ,
            -0.31192377, -0.02569627],
           [ 0.1447439 ,  0.01788108,  0.12101679, ..., -0.34012973,
            -0.06239245, -0.5769575 ],
           [ 0.13916175,  0.01943872, -0.03661647, ..., -0.06008785,
             0.10006808, -0.04335473],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.1364522 ],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.12099129],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.13000077]], shape=(7500, 73), 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'>-0.2657 -0.2678 ... nan -0.2625</div><input id='attrs-e6bac942-ed77-4cd0-bc67-c116b502c7db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6bac942-ed77-4cd0-bc67-c116b502c7db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6862f6ac-530e-4f4f-8087-c81f5a9e63fa' class='xr-var-data-in' type='checkbox'><label for='data-6862f6ac-530e-4f4f-8087-c81f5a9e63fa' 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>-0.30400208</dd><dt><span>maxval :</span></dt><dd>0.08423559</dd></dl></div><div class='xr-var-data'><pre>array([[-0.2657175 , -0.2677789 , -0.26754242, ..., -0.19792444,
            -0.24417377, -0.27178997],
           [-0.2657175 , -0.2678137 , -0.26751253, ..., -0.20324652,
            -0.24486193, -0.27180582],
           [-0.2657175 , -0.26776734, -0.26779386, ..., -0.2079583 ,
            -0.2495777 , -0.27783272],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.26253578],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.26253578],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.26253578]], shape=(7500, 73), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>upward_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'>-2.114e-05 -4.02e-06 ... -3.903e-05</div><input id='attrs-1c8d0667-25c4-4cc8-99bb-19d093ad1394' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c8d0667-25c4-4cc8-99bb-19d093ad1394' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa499866-170b-4354-8bff-eedf5b707851' class='xr-var-data-in' type='checkbox'><label for='data-fa499866-170b-4354-8bff-eedf5b707851' 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>-4.210607e-05</dd><dt><span>maxval :</span></dt><dd>2.9423676e-05</dd></dl></div><div class='xr-var-data'><pre>array([[-2.1136782e-05, -4.0197715e-06,  1.9604568e-06, ...,
            -2.0978978e-05, -2.1383856e-05, -2.0209261e-05],
           [-2.1136782e-05, -4.0197715e-06,  1.9604568e-06, ...,
            -2.1053964e-05, -2.0450845e-05, -2.0013355e-05],
           [-2.1136782e-05, -4.0197715e-06,  1.9604568e-06, ...,
            -2.7327233e-05, -2.3204206e-05, -2.0364017e-05],
           ...,
           [           nan,            nan,            nan, ...,
                       nan,            nan, -3.9034087e-05],
           [           nan,            nan,            nan, ...,
                       nan,            nan, -3.9034087e-05],
           [           nan,            nan,            nan, ...,
                       nan,            nan, -3.9034087e-05]],
          shape=(7500, 73), 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'>4.813 0.445 1.304 ... nan -0.5787</div><input id='attrs-458e74b8-b01b-44fe-9db8-aac82a748918' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-458e74b8-b01b-44fe-9db8-aac82a748918' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6bb6a747-5e41-412e-80ff-b34c3116cf67' class='xr-var-data-in' type='checkbox'><label for='data-6bb6a747-5e41-412e-80ff-b34c3116cf67' 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>-9.22574</dd><dt><span>maxval :</span></dt><dd>11.336346</dd></dl></div><div class='xr-var-data'><pre>array([[ 4.8125134 ,  0.445039  ,  1.3039136 , ...,  2.6449053 ,
            -2.2149594 , -0.7503796 ],
           [ 3.612298  ,  0.7730454 , -2.4660492 , ...,  0.1360521 ,
            -0.8765305 , -0.89451134],
           [ 5.6331334 ,  0.3788062 ,  3.1671808 , ...,  0.45458093,
            -0.36574876,  2.7745018 ],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan,  2.0697365 ],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  3.203331  ],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.57873136]], shape=(7500, 73), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y_wind</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>6.593 1.957 1.375 ... nan -1.994</div><input id='attrs-2795afa8-e965-49bf-97a7-a07ddb500586' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2795afa8-e965-49bf-97a7-a07ddb500586' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d3dcf6a-72ab-4118-a92e-6f94ee394efa' class='xr-var-data-in' type='checkbox'><label for='data-3d3dcf6a-72ab-4118-a92e-6f94ee394efa' 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>-16.541077</dd><dt><span>maxval :</span></dt><dd>10.219068</dd></dl></div><div class='xr-var-data'><pre>array([[  6.5931296 ,   1.9572659 ,   1.3745159 , ...,  -4.2684107 ,
             -3.2025356 ,  -6.8286085 ],
           [  1.8786491 ,   0.22563447,   0.7088348 , ...,  -6.0300922 ,
             -6.5646563 ,  -7.705316  ],
           [  1.2109774 ,  -0.94291466,   3.5421455 , ...,  -6.3993406 ,
            -10.129456  ,  -7.657858  ],
           ...,
           [         nan,          nan,          nan, ...,          nan,
                     nan,  -2.3709433 ],
           [         nan,          nan,          nan, ...,          nan,
                     nan,  -3.5322933 ],
           [         nan,          nan,          nan, ...,          nan,
                     nan,  -1.9942125 ]], shape=(7500, 73), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_surface_wave_stokes_drift_x_velocity</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan 0.0</div><input id='attrs-fc26500c-ce47-4e78-abf6-35df25970632' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc26500c-ce47-4e78-abf6-35df25970632' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09d238ca-22ea-49b0-a995-7e7a0e8dfd10' class='xr-var-data-in' type='checkbox'><label for='data-09d238ca-22ea-49b0-a995-7e7a0e8dfd10' 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.],
           ...,
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.]],
          shape=(7500, 73), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_surface_wave_stokes_drift_y_velocity</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan 0.0</div><input id='attrs-5f546cb8-a102-44b6-bfb0-762856dedf5c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f546cb8-a102-44b6-bfb0-762856dedf5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb5325dd-4ba9-4d6f-a94a-d83af0cc020b' class='xr-var-data-in' type='checkbox'><label for='data-eb5325dd-4ba9-4d6f-a94a-d83af0cc020b' 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.],
           ...,
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.]],
          shape=(7500, 73), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_surface_wave_period_at_variance_spectral_density_maximum</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan 0.0</div><input id='attrs-65f79448-41fa-4483-9d52-8d20159858af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65f79448-41fa-4483-9d52-8d20159858af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d207b8d-93a1-4fff-a699-a464a7e11517' class='xr-var-data-in' type='checkbox'><label for='data-9d207b8d-93a1-4fff-a699-a464a7e11517' 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.],
           ...,
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.]],
          shape=(7500, 73), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>6.975 1.715 1.619 ... nan nan 1.774</div><input id='attrs-380fe1fe-f08b-4365-95da-1184aa5e453c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-380fe1fe-f08b-4365-95da-1184aa5e453c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84a895f5-dccc-42cd-b3fa-b3f0bddceee9' class='xr-var-data-in' type='checkbox'><label for='data-84a895f5-dccc-42cd-b3fa-b3f0bddceee9' 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>0.036858104</dd><dt><span>maxval :</span></dt><dd>14.168574</dd></dl></div><div class='xr-var-data'><pre>array([[6.9747853 , 1.7151141 , 1.6188744 , ..., 4.2906723 , 3.3272033 ,
            5.8699684 ],
           [3.4790723 , 0.68810624, 2.1924868 , ..., 5.1538477 , 5.6590877 ,
            6.6281834 ],
           [4.923312  , 0.86827934, 4.060114  , ..., 5.481827  , 8.660962  ,
            6.959643  ],
           ...,
           [       nan,        nan,        nan, ...,        nan,        nan,
            2.6892326 ],
           [       nan,        nan,        nan, ...,        nan,        nan,
            4.074528  ],
           [       nan,        nan,        nan, ...,        nan,        nan,
            1.7743001 ]], shape=(7500, 73), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>land_binary_mask</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan 0.0</div><input id='attrs-2fbac153-2388-48d9-99c6-d83ea0e24782' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2fbac153-2388-48d9-99c6-d83ea0e24782' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c7bbd4b-a403-43e4-95c8-628277391e0a' class='xr-var-data-in' type='checkbox'><label for='data-7c7bbd4b-a403-43e4-95c8-628277391e0a' 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.],
           ...,
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.]],
          shape=(7500, 73), 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'>1e-06 1e-06 1e-06 ... nan nan 1e-06</div><input id='attrs-820d9a0d-3853-4771-89f7-10f85e82d88d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-820d9a0d-3853-4771-89f7-10f85e82d88d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2d42832-fcc5-468e-bda3-8c50140da4d5' class='xr-var-data-in' type='checkbox'><label for='data-e2d42832-fcc5-468e-bda3-8c50140da4d5' 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>1e-06</dd><dt><span>maxval :</span></dt><dd>0.00041426378</dd></dl></div><div class='xr-var-data'><pre>array([[1.e-06, 1.e-06, 1.e-06, ..., 1.e-06, 1.e-06, 1.e-06],
           [1.e-06, 1.e-06, 1.e-06, ..., 1.e-06, 1.e-06, 1.e-06],
           [1.e-06, 1.e-06, 1.e-06, ..., 1.e-06, 1.e-06, 1.e-06],
           ...,
           [   nan,    nan,    nan, ...,    nan,    nan, 1.e-06],
           [   nan,    nan,    nan, ...,    nan,    nan, 1.e-06],
           [   nan,    nan,    nan, ...,    nan,    nan, 1.e-06]],
          shape=(7500, 73), 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 ... nan nan 50.0</div><input id='attrs-8f8eced7-b22e-4f3e-b50d-7d55804cd477' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f8eced7-b22e-4f3e-b50d-7d55804cd477' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49e7a2c2-aeb8-4765-a0d4-13b84352a01c' class='xr-var-data-in' type='checkbox'><label for='data-49e7a2c2-aeb8-4765-a0d4-13b84352a01c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>minval :</span></dt><dd>50.0</dd><dt><span>maxval :</span></dt><dd>50.0</dd></dl></div><div class='xr-var-data'><pre>array([[50., 50., 50., ..., 50., 50., 50.],
           [50., 50., 50., ..., 50., 50., 50.],
           [50., 50., 50., ..., 50., 50., 50.],
           ...,
           [nan, nan, nan, ..., nan, nan, 50.],
           [nan, nan, nan, ..., nan, nan, 50.],
           [nan, nan, nan, ..., nan, nan, 50.]],
          shape=(7500, 73), 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'>14.0 14.06 13.93 ... nan nan 14.0</div><input id='attrs-cf77ac98-a960-4346-afb8-e57a37a8a595' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf77ac98-a960-4346-afb8-e57a37a8a595' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d47f281-e532-4357-900a-a8cc7052b8b2' class='xr-var-data-in' type='checkbox'><label for='data-0d47f281-e532-4357-900a-a8cc7052b8b2' 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>162.29507</dd></dl></div><div class='xr-var-data'><pre>array([[14.000173, 14.05639 , 13.934294, ..., 10.      , 10.      ,
            10.000001],
           [14.000173, 14.175383, 13.954123, ..., 17.32262 , 17.028502,
            11.21923 ],
           [14.000173, 14.134028, 13.801407, ..., 61.773468, 61.455116,
            57.786343],
           ...,
           [      nan,       nan,       nan, ...,       nan,       nan,
            14.000064],
           [      nan,       nan,       nan, ...,       nan,       nan,
            14.000064],
           [      nan,       nan,       nan, ...,       nan,       nan,
            14.000064]], shape=(7500, 73), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f34557d2-2e63-43e6-82f9-3907d807b62d' class='xr-section-summary-in' type='checkbox' /><label for='section-f34557d2-2e63-43e6-82f9-3907d807b62d' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(125)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.11, ACDD-1.3</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table v85</dd><dt><span>featureType :</span></dt><dd>trajectory</dd><dt><span>title :</span></dt><dd>OpenDrift trajectory simulation</dd><dt><span>summary :</span></dt><dd>Output from simulation with OpenDrift framework</dd><dt><span>keywords :</span></dt><dd>trajectory, drift, lagrangian, simulation</dd><dt><span>history :</span></dt><dd>Created 2026-08-21 16:06:00.097895</dd><dt><span>date_created :</span></dt><dd>2026-08-21T16:06:00.097917</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>SedimentDrift</dd><dt><span>opendrift_module :</span></dt><dd>opendrift.models.sedimentdrift</dd><dt><span>readers :</span></dt><dd>odict_keys([&#x27;LazyReader: https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be&#x27;, &#x27;global_landmask&#x27;])</dd><dt><span>time_coverage_start :</span></dt><dd>2026-08-21 16:05:52.882228</dd><dt><span>time_step_calculation :</span></dt><dd>0:10:00</dd><dt><span>time_step_output :</span></dt><dd>0:30:00</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>0</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>0</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:x_wind :</span></dt><dd>None</dd><dt><span>config_environment:fallback:x_wind :</span></dt><dd>0</dd><dt><span>config_environment:constant:y_wind :</span></dt><dd>None</dd><dt><span>config_environment:fallback:y_wind :</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: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_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: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_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_general:use_auto_landmask :</span></dt><dd>True</dd><dt><span>config_drift:current_uncertainty :</span></dt><dd>0.2</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>previous</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>2.0</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:wind_drift_factor :</span></dt><dd>0.02</dd><dt><span>config_seed:current_drift_factor :</span></dt><dd>1</dd><dt><span>config_seed:terminal_velocity :</span></dt><dd>-0.001</dd><dt><span>config_seed:settled :</span></dt><dd>0</dd><dt><span>config_drift:vertical_advection :</span></dt><dd>True</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>windspeed_Large1994</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_vertical_mixing:resuspension_threshold :</span></dt><dd>0.2</dd><dt><span>opendrift_version :</span></dt><dd>1.14.10</dd><dt><span>seed_geojson :</span></dt><dd>{&quot;features&quot;: [], &quot;type&quot;: &quot;FeatureCollection&quot;}</dd><dt><span>simulation_time :</span></dt><dd>2026-08-21 16:06:00.421031</dd><dt><span>reader_x_sea_water_velocity :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be&#x27;]</dd><dt><span>reader_y_sea_water_velocity :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be&#x27;]</dd><dt><span>reader_sea_surface_height :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be&#x27;]</dd><dt><span>reader_upward_sea_water_velocity :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be&#x27;]</dd><dt><span>reader_x_wind :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be&#x27;]</dd><dt><span>reader_y_wind :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be&#x27;]</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_land_binary_mask :</span></dt><dd>[&#x27;global_landmask&#x27;]</dd><dt><span>reader_ocean_vertical_diffusivity :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be&#x27;]</dd><dt><span>reader_ocean_mixed_layer_thickness :</span></dt><dd>50</dd><dt><span>reader_sea_floor_depth_below_sea_level :</span></dt><dd>[&#x27;https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be&#x27;]</dd><dt><span>time_coverage_end :</span></dt><dd>2026-08-23 04:05:52.882228</dd><dt><span>time_coverage_duration :</span></dt><dd>P1DT12H0M0S</dd><dt><span>time_coverage_resolution :</span></dt><dd>P0DT0H10M0S</dd><dt><span>performance :</span></dt><dd>--------------------
    Reader performance:
    --------------------
    global_landmask
     0:00:02.9  total
     0:00:00.0  preparing
     0:00:02.9  reading
     0:00:00.0  masking
    --------------------
    https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be
     0:01:15.4  total
     0:00:00.0  preparing
     0:01:12.5  reading
     0:00:08.1  interpolation
     0:00:00.2  interpolation_time
     0:00:02.9  rotating vectors
     0:00:00.0  masking
    --------------------
    Performance:
     1:52.0 total time
        7.2 configuration
        0.3 preparing main loop
          0.0 moving elements to ocean
     1:44.3 main loop
          4.3 updating elements
            3.3 vertical mixing
        0.1 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>58.79494</dd><dt><span>geospatial_lat_max :</span></dt><dd>59.186043</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>10.733639</dd><dt><span>geospatial_lon_max :</span></dt><dd>11.117497</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>0:01:52.016244</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 40-41

Plotting the depth vs time

.. GENERATED FROM PYTHON SOURCE LINES 41-43

.. code-block:: Python

    o.plot_property('z')




.. image-sg:: /gallery/images/sphx_glr_example_sediments_001.png
   :alt: z
   :srcset: /gallery/images/sphx_glr_example_sediments_001.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 44-45

Animate sediment particles colored by their depth

.. GENERATED FROM PYTHON SOURCE LINES 45-48

.. code-block:: Python

    o.animation(color='z', fast=False, buffer=.01)
    #o.animation(color='moving', fast=False, buffer=.01, colorbar=False, legend=['Sedimented', 'Moving'])





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

 .. code-block:: none

    16:07:58 INFO    opendrift:4799: Saving animation to /root/project/docs/source/gallery/animations/example_sediments_0.gif...
    16:08:18 INFO    opendrift:3217: Time to make animation: 0:00:30.578131




.. GENERATED FROM PYTHON SOURCE LINES 49-50

.. image:: /gallery/animations/example_sediments_0.gif


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

   **Total running time of the script:** (2 minutes 34.994 seconds)


.. _sphx_glr_download_gallery_example_sediments.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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