.. 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

    14:12:23 INFO    opendrift:569: OpenDriftSimulation initialised (version 1.14.3 / v1.14.3-25-gcd89af5)




.. 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

    14:12:23 INFO    opendrift.models.basemodel.environment:206: Adding a global landmask from GSHHG
    14:12:27 INFO    opendrift.models.basemodel.environment:229: Fallback values will be used for the following variables which have no readers: 
    14:12:27 INFO    opendrift.models.basemodel.environment:232:    x_sea_water_velocity: 0.000000
    14:12:27 INFO    opendrift.models.basemodel.environment:232:    y_sea_water_velocity: 0.000000
    14:12:27 INFO    opendrift.models.basemodel.environment:232:    sea_surface_height: 0.000000
    14:12:27 INFO    opendrift.models.basemodel.environment:232:    upward_sea_water_velocity: 0.000000
    14:12:27 INFO    opendrift.models.basemodel.environment:232:    x_wind: 0.000000
    14:12:27 INFO    opendrift.models.basemodel.environment:232:    y_wind: 0.000000
    14:12:27 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_stokes_drift_x_velocity: 0.000000
    14:12:27 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_stokes_drift_y_velocity: 0.000000
    14:12:27 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_period_at_variance_spectral_density_maximum: 0.000000
    14:12:27 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment: 0.000000
    14:12:27 INFO    opendrift.models.basemodel.environment:232:    ocean_vertical_diffusivity: 0.020000
    14:12:27 INFO    opendrift.models.basemodel.environment:232:    ocean_mixed_layer_thickness: 50.000000
    14:12:27 INFO    opendrift.models.basemodel.environment:232:    sea_floor_depth_below_sea_level: 10000.000000
    14:12:27 INFO    opendrift:1790: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
    14:12:27 INFO    opendrift:1790: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
    14:12:27 INFO    opendrift:945: Using existing reader for land_binary_mask to move elements to ocean
    14:12:27 INFO    opendrift:975: All points are in ocean
    14:12:27 INFO    opendrift:2086: 2025-10-03 14:12:23.402601 - step 1 of 216 - 35 active elements (0 deactivated)
    14:12:27 INFO    opendrift.readers:63: Opening file with xr.open_dataset
    14:12:29 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'x': 'X', 'y': 'Y', 'z': 'depth', 'time': 'time'}
    14:12:29 INFO    opendrift.readers.basereader:176: Variable x_sea_water_velocity will be rotated from eastward_sea_water_velocity
    14:12:29 INFO    opendrift.readers.basereader:176: Variable y_sea_water_velocity will be rotated from northward_sea_water_velocity
    14:12:29 INFO    opendrift.readers.basereader:176: Variable x_wind will be rotated from eastward_wind
    14:12:29 INFO    opendrift.readers.basereader:176: Variable y_wind will be rotated from northward_wind
    14:12:32 INFO    opendrift:2086: 2025-10-03 14:22:23.402601 - step 2 of 216 - 70 active elements (0 deactivated)
    14:12:32 INFO    opendrift:2086: 2025-10-03 14:32:23.402601 - step 3 of 216 - 105 active elements (0 deactivated)
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    14:13:54 INFO    opendrift:2086: 2025-10-04 14:12:23.402601 - step 145 of 216 - 5035 active elements (0 deactivated)
    14:13:55 INFO    opendrift:2086: 2025-10-04 14:22:23.402601 - step 146 of 216 - 5069 active elements (0 deactivated)
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    14:13:59 INFO    opendrift:2086: 2025-10-04 15:12:23.402601 - step 151 of 216 - 5243 active elements (0 deactivated)
    14:13:59 INFO    opendrift:2086: 2025-10-04 15:22:23.402601 - step 152 of 216 - 5278 active elements (0 deactivated)
    14:14:00 INFO    opendrift:2086: 2025-10-04 15:32:23.402601 - step 153 of 216 - 5312 active elements (0 deactivated)
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    14:14:01 INFO    opendrift:2086: 2025-10-04 16:02:23.402601 - step 156 of 216 - 5417 active elements (0 deactivated)
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    14:14:04 INFO    opendrift:2086: 2025-10-04 16:22:23.402601 - step 158 of 216 - 5486 active elements (0 deactivated)
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    14:14:05 INFO    opendrift:2086: 2025-10-04 16:42:23.402601 - step 160 of 216 - 5556 active elements (0 deactivated)
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    14:14:06 INFO    opendrift:2086: 2025-10-04 17:02:23.402601 - step 162 of 216 - 5625 active elements (0 deactivated)
    14:14:09 INFO    opendrift:2086: 2025-10-04 17:12:23.402601 - step 163 of 216 - 5660 active elements (0 deactivated)
    14:14:09 INFO    opendrift:2086: 2025-10-04 17:22:23.402601 - step 164 of 216 - 5694 active elements (0 deactivated)
    14:14:10 INFO    opendrift:2086: 2025-10-04 17:32:23.402601 - step 165 of 216 - 5729 active elements (0 deactivated)
    14:14:10 INFO    opendrift:2086: 2025-10-04 17:42:23.402601 - step 166 of 216 - 5764 active elements (0 deactivated)
    14:14:11 INFO    opendrift:2086: 2025-10-04 17:52:23.402601 - step 167 of 216 - 5799 active elements (0 deactivated)
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    14:14:28 INFO    opendrift:2086: 2025-10-04 21:02:23.402601 - step 186 of 216 - 6458 active elements (0 deactivated)
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    14:14:55 INFO    opendrift:2086: 2025-10-05 02:02:23.402601 - step 216 of 216 - 7500 active elements (0 deactivated)
    14:14:58 INFO    opendrift:2195: Removing 2500 unseeded elements


.. raw:: html

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    <div><svg style="position: absolute; width: 0; height: 0; overflow: hidden">
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    </defs>
    </svg>
    <style>/* CSS stylesheet for displaying xarray objects in jupyterlab.
     *
     */

    :root {
      --xr-font-color0: var(
        --jp-content-font-color0,
        var(--pst-color-text-base rgba(0, 0, 0, 1))
      );
      --xr-font-color2: var(
        --jp-content-font-color2,
        var(--pst-color-text-base, rgba(0, 0, 0, 0.54))
      );
      --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;
    }

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

    .xr-header {
      padding-top: 6px;
      padding-bottom: 6px;
      margin-bottom: 4px;
      border-bottom: solid 1px var(--xr-border-color);
    }

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

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

    .xr-obj-type {
      color: var(--xr-font-color2);
    }

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

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

    .xr-section-item input {
      display: inline-block;
      opacity: 0;
      height: 0;
    }

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

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

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

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

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

    .xr-section-summary > span {
      display: inline-block;
      padding-left: 0.5em;
    }

    .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 {
      padding-top: 4px;
      padding-bottom: 4px;
    }

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

    .xr-section-details {
      display: none;
      grid-column: 1 / -1;
      margin-bottom: 5px;
    }

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

    .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: ")";
    }

    .xr-dim-list li:not(:last-child):after {
      content: ",";
      padding-right: 5px;
    }

    .xr-has-index {
      font-weight: bold;
    }

    .xr-var-list,
    .xr-var-item {
      display: contents;
    }

    .xr-var-item > div,
    .xr-var-item label,
    .xr-var-item > .xr-var-name span {
      background-color: var(--xr-background-color-row-even);
      border-color: var(--xr-background-color-row-odd);
      margin-bottom: 0;
      padding-top: 2px;
    }

    .xr-var-item > .xr-var-name:hover span {
      padding-right: 5px;
    }

    .xr-var-list > li:nth-child(odd) > div,
    .xr-var-list > li:nth-child(odd) > label,
    .xr-var-list > li:nth-child(odd) > .xr-var-name span {
      background-color: var(--xr-background-color-row-odd);
      border-color: var(--xr-background-color-row-even);
    }

    .xr-var-name {
      grid-column: 1;
    }

    .xr-var-dims {
      grid-column: 2;
    }

    .xr-var-dtype {
      grid-column: 3;
      text-align: right;
      color: var(--xr-font-color2);
    }

    .xr-var-preview {
      grid-column: 4;
    }

    .xr-index-preview {
      grid-column: 2 / 5;
      color: var(--xr-font-color2);
    }

    .xr-var-name,
    .xr-var-dims,
    .xr-var-dtype,
    .xr-preview,
    .xr-attrs dt {
      white-space: nowrap;
      overflow: hidden;
      text-overflow: ellipsis;
      padding-right: 10px;
    }

    .xr-var-name:hover,
    .xr-var-dims:hover,
    .xr-var-dtype:hover,
    .xr-attrs dt:hover {
      overflow: visible;
      width: auto;
      z-index: 1;
    }

    .xr-var-attrs,
    .xr-var-data,
    .xr-index-data {
      display: none;
      border-top: 2px dotted var(--xr-background-color);
      padding-bottom: 20px !important;
      padding-top: 10px !important;
    }

    .xr-var-attrs-in + label,
    .xr-var-data-in + label,
    .xr-index-data-in + label {
      padding: 0 1px;
    }

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

    .xr-var-data > table {
      float: right;
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    .xr-var-attrs-in:checked + label > .xr-icon-file-text2,
    .xr-var-data-in:checked + label > .xr-icon-database,
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      color: var(--xr-font-color0);
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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: (12/126)
        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-34faf555-d0f6-4b37-8d7e-6854da2452d5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-34faf555-d0f6-4b37-8d7e-6854da2452d5' 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>: 7500</li><li><span class='xr-has-index'>time</span>: 73</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3c7c9a75-c04e-46b5-812d-bd75fe2b4c40' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3c7c9a75-c04e-46b5-812d-bd75fe2b4c40' 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 ... 7496 7497 7498 7499</div><input id='attrs-0d148c9c-adfa-4a23-9244-16edd2d0d8c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d148c9c-adfa-4a23-9244-16edd2d0d8c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4219d35b-2b7d-4ca0-817d-4b9790ec11a1' class='xr-var-data-in' type='checkbox'><label for='data-4219d35b-2b7d-4ca0-817d-4b9790ec11a1' 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'>2025-10-03T14:12:23.402601 ... 2...</div><input id='attrs-c1c5f5ec-17d2-48c2-8730-dc3521046b68' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c1c5f5ec-17d2-48c2-8730-dc3521046b68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5470dc1-966b-4fbc-a07b-32c5d9e5d1ad' class='xr-var-data-in' type='checkbox'><label for='data-f5470dc1-966b-4fbc-a07b-32c5d9e5d1ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float64&#x27;&gt;</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2025-10-03T14:12:23.402601000&#x27;, &#x27;2025-10-03T14:42:23.402601000&#x27;,
           &#x27;2025-10-03T15:12:23.402601000&#x27;, &#x27;2025-10-03T15:42:23.402601000&#x27;,
           &#x27;2025-10-03T16:12:23.402601000&#x27;, &#x27;2025-10-03T16:42:23.402601000&#x27;,
           &#x27;2025-10-03T17:12:23.402601000&#x27;, &#x27;2025-10-03T17:42:23.402601000&#x27;,
           &#x27;2025-10-03T18:12:23.402601000&#x27;, &#x27;2025-10-03T18:42:23.402601000&#x27;,
           &#x27;2025-10-03T19:12:23.402601000&#x27;, &#x27;2025-10-03T19:42:23.402601000&#x27;,
           &#x27;2025-10-03T20:12:23.402601000&#x27;, &#x27;2025-10-03T20:42:23.402601000&#x27;,
           &#x27;2025-10-03T21:12:23.402601000&#x27;, &#x27;2025-10-03T21:42:23.402601000&#x27;,
           &#x27;2025-10-03T22:12:23.402601000&#x27;, &#x27;2025-10-03T22:42:23.402601000&#x27;,
           &#x27;2025-10-03T23:12:23.402601000&#x27;, &#x27;2025-10-03T23:42:23.402601000&#x27;,
           &#x27;2025-10-04T00:12:23.402601000&#x27;, &#x27;2025-10-04T00:42:23.402601000&#x27;,
           &#x27;2025-10-04T01:12:23.402601000&#x27;, &#x27;2025-10-04T01:42:23.402601000&#x27;,
           &#x27;2025-10-04T02:12:23.402601000&#x27;, &#x27;2025-10-04T02:42:23.402601000&#x27;,
           &#x27;2025-10-04T03:12:23.402601000&#x27;, &#x27;2025-10-04T03:42:23.402601000&#x27;,
           &#x27;2025-10-04T04:12:23.402601000&#x27;, &#x27;2025-10-04T04:42:23.402601000&#x27;,
           &#x27;2025-10-04T05:12:23.402601000&#x27;, &#x27;2025-10-04T05:42:23.402601000&#x27;,
           &#x27;2025-10-04T06:12:23.402601000&#x27;, &#x27;2025-10-04T06:42:23.402601000&#x27;,
           &#x27;2025-10-04T07:12:23.402601000&#x27;, &#x27;2025-10-04T07:42:23.402601000&#x27;,
           &#x27;2025-10-04T08:12:23.402601000&#x27;, &#x27;2025-10-04T08:42:23.402601000&#x27;,
           &#x27;2025-10-04T09:12:23.402601000&#x27;, &#x27;2025-10-04T09:42:23.402601000&#x27;,
           &#x27;2025-10-04T10:12:23.402601000&#x27;, &#x27;2025-10-04T10:42:23.402601000&#x27;,
           &#x27;2025-10-04T11:12:23.402601000&#x27;, &#x27;2025-10-04T11:42:23.402601000&#x27;,
           &#x27;2025-10-04T12:12:23.402601000&#x27;, &#x27;2025-10-04T12:42:23.402601000&#x27;,
           &#x27;2025-10-04T13:12:23.402601000&#x27;, &#x27;2025-10-04T13:42:23.402601000&#x27;,
           &#x27;2025-10-04T14:12:23.402601000&#x27;, &#x27;2025-10-04T14:42:23.402601000&#x27;,
           &#x27;2025-10-04T15:12:23.402601000&#x27;, &#x27;2025-10-04T15:42:23.402601000&#x27;,
           &#x27;2025-10-04T16:12:23.402601000&#x27;, &#x27;2025-10-04T16:42:23.402601000&#x27;,
           &#x27;2025-10-04T17:12:23.402601000&#x27;, &#x27;2025-10-04T17:42:23.402601000&#x27;,
           &#x27;2025-10-04T18:12:23.402601000&#x27;, &#x27;2025-10-04T18:42:23.402601000&#x27;,
           &#x27;2025-10-04T19:12:23.402601000&#x27;, &#x27;2025-10-04T19:42:23.402601000&#x27;,
           &#x27;2025-10-04T20:12:23.402601000&#x27;, &#x27;2025-10-04T20:42:23.402601000&#x27;,
           &#x27;2025-10-04T21:12:23.402601000&#x27;, &#x27;2025-10-04T21:42:23.402601000&#x27;,
           &#x27;2025-10-04T22:12:23.402601000&#x27;, &#x27;2025-10-04T22:42:23.402601000&#x27;,
           &#x27;2025-10-04T23:12:23.402601000&#x27;, &#x27;2025-10-04T23:42:23.402601000&#x27;,
           &#x27;2025-10-05T00:12:23.402601000&#x27;, &#x27;2025-10-05T00:42:23.402601000&#x27;,
           &#x27;2025-10-05T01:12:23.402601000&#x27;, &#x27;2025-10-05T01:42:23.402601000&#x27;,
           &#x27;2025-10-05T02:12:23.402601000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8f389817-0160-4d88-b5da-fb87a6984375' class='xr-section-summary-in' type='checkbox'  ><label for='section-8f389817-0160-4d88-b5da-fb87a6984375' 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 ... nan nan nan 0.0</div><input id='attrs-8b314c5c-abaf-497a-bb2a-103064b71e68' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b314c5c-abaf-497a-bb2a-103064b71e68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d12bc1f3-f4d0-47f2-94c1-bcb2aaa69569' class='xr-var-data-in' type='checkbox'><label for='data-d12bc1f3-f4d0-47f2-94c1-bcb2aaa69569' 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-e057c34f-532a-4533-ac09-73a32fd31187' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e057c34f-532a-4533-ac09-73a32fd31187' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85b97959-dda3-44c9-ab7a-0428b43a77a1' class='xr-var-data-in' type='checkbox'><label for='data-85b97959-dda3-44c9-ab7a-0428b43a77a1' 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-a673fe89-455d-44e6-8423-16cd1a555da4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a673fe89-455d-44e6-8423-16cd1a555da4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e366298-6534-407d-9958-b0c47907b500' class='xr-var-data-in' type='checkbox'><label for='data-8e366298-6534-407d-9958-b0c47907b500' 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-fa3614c1-8570-4f55-acff-c41ac8a65bef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa3614c1-8570-4f55-acff-c41ac8a65bef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c53eb83-1b09-4ef6-91b2-6102cc929944' class='xr-var-data-in' type='checkbox'><label for='data-8c53eb83-1b09-4ef6-91b2-6102cc929944' 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 10.97 10.97 ... nan nan 10.96</div><input id='attrs-c8602623-0c17-40c7-8765-68142dbb083a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8602623-0c17-40c7-8765-68142dbb083a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0f7b9ff-e666-4425-a6b8-ac64e84bc582' class='xr-var-data-in' type='checkbox'><label for='data-d0f7b9ff-e666-4425-a6b8-ac64e84bc582' 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>10.895992</dd><dt><span>maxval :</span></dt><dd>11.008433</dd></dl></div><div class='xr-var-data'><pre>array([[10.96292 , 10.972116, 10.970037, ..., 10.973377, 10.973377,
            10.973377],
           [10.96292 , 10.969894, 10.968926, ..., 10.931279, 10.931451,
            10.922509],
           [10.96292 , 10.969945, 10.973911, ..., 10.971338, 10.971338,
            10.971338],
           ...,
           [      nan,       nan,       nan, ...,       nan,       nan,
            10.963029],
           [      nan,       nan,       nan, ...,       nan,       nan,
            10.964255],
           [      nan,       nan,       nan, ...,       nan,       nan,
            10.964576]], 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 59.18 ... nan nan 59.17</div><input id='attrs-c008cd96-70a2-49dc-9e5a-4748b433f466' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c008cd96-70a2-49dc-9e5a-4748b433f466' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6df54e0-4a09-4faa-9d99-c8c25df94327' class='xr-var-data-in' type='checkbox'><label for='data-c6df54e0-4a09-4faa-9d99-c8c25df94327' 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>59.1479</dd><dt><span>maxval :</span></dt><dd>59.22286</dd></dl></div><div class='xr-var-data'><pre>array([[59.169193, 59.17209 , 59.1772  , ..., 59.18455 , 59.18455 ,
            59.18455 ],
           [59.169193, 59.174496, 59.175392, ..., 59.214073, 59.21448 ,
            59.214207],
           [59.169193, 59.171013, 59.17481 , ..., 59.18238 , 59.18238 ,
            59.18238 ],
           ...,
           [      nan,       nan,       nan, ...,       nan,       nan,
            59.16966 ],
           [      nan,       nan,       nan, ...,       nan,       nan,
            59.169617],
           [      nan,       nan,       nan, ...,       nan,       nan,
            59.169735]], 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-59840dc1-8881-4c2d-b9db-8bbe72fad053' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-59840dc1-8881-4c2d-b9db-8bbe72fad053' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90986f19-b8b0-4c91-8cb8-cd5973c9290f' class='xr-var-data-in' type='checkbox'><label for='data-90986f19-b8b0-4c91-8cb8-cd5973c9290f' 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-7293da5e-1590-4c1f-b213-ce192ec52f40' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7293da5e-1590-4c1f-b213-ce192ec52f40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7adf1354-d609-4156-a423-019c8eadf0a5' class='xr-var-data-in' type='checkbox'><label for='data-7adf1354-d609-4156-a423-019c8eadf0a5' 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-cc5fa918-f6a8-4ae9-8360-d6eecc5a24e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc5fa918-f6a8-4ae9-8360-d6eecc5a24e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6954b54-5bca-4025-a7f0-4b6cedc31b1f' class='xr-var-data-in' type='checkbox'><label for='data-b6954b54-5bca-4025-a7f0-4b6cedc31b1f' 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-de058eeb-a398-4739-b1e7-f63e65f2e6b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de058eeb-a398-4739-b1e7-f63e65f2e6b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e51791a1-94f7-4d20-bb3b-d0f0fee9b81d' class='xr-var-data-in' type='checkbox'><label for='data-e51791a1-94f7-4d20-bb3b-d0f0fee9b81d' 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-09aeea1b-c9e2-4681-9096-02ecab5b6601' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-09aeea1b-c9e2-4681-9096-02ecab5b6601' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8066a39d-33c0-4887-81a1-a388f25a5bcc' class='xr-var-data-in' type='checkbox'><label for='data-8066a39d-33c0-4887-81a1-a388f25a5bcc' 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'>0.5427 0.2603 ... nan 0.2826</div><input id='attrs-65a206c9-7c2c-4a8b-8c80-f03d67c4209e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65a206c9-7c2c-4a8b-8c80-f03d67c4209e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6129950-5353-4adb-9d2b-455d469721dc' class='xr-var-data-in' type='checkbox'><label for='data-f6129950-5353-4adb-9d2b-455d469721dc' 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>-1.0300908</dd><dt><span>maxval :</span></dt><dd>1.0384557</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.5426583 ,  0.26033327, -0.40676978, ...,  0.06862719,
            -0.08368295,  0.00496477],
           [ 0.26987928,  0.10844824,  0.47166884, ...,  0.09692066,
            -0.19491434, -0.24870247],
           [ 0.38559544,  0.36379302,  0.04147816, ...,  0.14552724,
             0.00156451,  0.03099219],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.08216456],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.17643912],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.28258547]], 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'>-0.06646 0.0036 ... nan -0.04965</div><input id='attrs-290500e5-e564-4dc7-9341-88dd722e2a68' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-290500e5-e564-4dc7-9341-88dd722e2a68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ccf597d-d2b9-4bff-9bda-21f80916f479' class='xr-var-data-in' type='checkbox'><label for='data-5ccf597d-d2b9-4bff-9bda-21f80916f479' 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>-0.9681652</dd><dt><span>maxval :</span></dt><dd>0.90543264</dd></dl></div><div class='xr-var-data'><pre>array([[-0.06646455,  0.00359998,  0.28764614, ...,  0.09490958,
            -0.23400928,  0.01953391],
           [ 0.14832379,  0.09669883,  0.2501131 , ..., -0.35809556,
            -0.08638847, -0.60177016],
           [ 0.14274162,  0.09737132,  0.13645624, ...,  0.0363364 ,
             0.19116223,  0.03626652],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.05610207],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.04064116],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.04965063]], 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'>0.01557 -0.01716 ... nan 0.3015</div><input id='attrs-f331589e-c0c9-413e-beb0-526b80016399' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f331589e-c0c9-413e-beb0-526b80016399' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a2b4691-dd3c-4912-a04c-046d6da4aa5f' class='xr-var-data-in' type='checkbox'><label for='data-2a2b4691-dd3c-4912-a04c-046d6da4aa5f' 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>-0.4121269</dd><dt><span>maxval :</span></dt><dd>0.30360168</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.01557249, -0.01715855, -0.05957876, ...,  0.26997656,
             0.2902171 ,  0.30126956],
           [ 0.01557249, -0.01650174, -0.05955629, ...,  0.27226004,
             0.29226005,  0.30360168],
           [ 0.01557249, -0.01699978, -0.0604426 , ...,  0.27011546,
             0.28997624,  0.3017389 ],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.30147764],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.30147764],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.30147764]], 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'>-1.657e-05 -2.413e-05 ... 7.976e-07</div><input id='attrs-e4504e59-3168-484c-a182-3d048fbfba7c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4504e59-3168-484c-a182-3d048fbfba7c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a054b2d4-1369-4d3b-b59c-770271e59dd3' class='xr-var-data-in' type='checkbox'><label for='data-a054b2d4-1369-4d3b-b59c-770271e59dd3' 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>-0.000174107</dd><dt><span>maxval :</span></dt><dd>4.612191e-05</dd></dl></div><div class='xr-var-data'><pre>array([[-1.6566544e-05, -2.4130013e-05, -3.3083808e-05, ...,
             5.5378423e-06,  9.3638328e-06,  5.4111629e-06],
           [-1.6566544e-05, -2.5811685e-05, -3.5795409e-05, ...,
             9.4594589e-07,  4.5394742e-07, -1.1157168e-06],
           [-1.6566544e-05, -2.4130013e-05, -3.2177981e-05, ...,
             6.9903472e-06,  6.5528234e-06,  3.7881616e-06],
           ...,
           [           nan,            nan,            nan, ...,
                       nan,            nan,  7.9760474e-07],
           [           nan,            nan,            nan, ...,
                       nan,            nan,  7.9760474e-07],
           [           nan,            nan,            nan, ...,
                       nan,            nan,  7.9760474e-07]],
          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'>-0.7216 -4.932 ... nan -6.239</div><input id='attrs-6df0fddd-0671-480f-9bcc-95dbbb24329f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6df0fddd-0671-480f-9bcc-95dbbb24329f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-548eb832-8d08-4b75-8ffd-881d6fcb9e18' class='xr-var-data-in' type='checkbox'><label for='data-548eb832-8d08-4b75-8ffd-881d6fcb9e18' 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>-16.95536</dd><dt><span>maxval :</span></dt><dd>3.8370068</dd></dl></div><div class='xr-var-data'><pre>array([[-0.72162056, -4.931655  , -3.7393818 , ..., -2.0300498 ,
            -7.066946  , -5.6626167 ],
           [-1.9218359 , -4.5226307 , -7.550825  , ..., -4.3260684 ,
            -5.462343  , -5.536791  ],
           [ 0.09899966, -5.0457044 , -1.9518838 , ..., -4.305809  ,
            -5.153802  , -1.9983604 ],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan, -3.5908084 ],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -2.4572139 ],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -6.2392764 ]], 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'>13.49 9.158 8.375 ... nan nan 7.499</div><input id='attrs-8b35329a-d711-489d-8d51-f84eca6cfe7a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b35329a-d711-489d-8d51-f84eca6cfe7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31bddcfc-012b-4722-96c3-763694871a23' class='xr-var-data-in' type='checkbox'><label for='data-31bddcfc-012b-4722-96c3-763694871a23' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>minval :</span></dt><dd>-5.706621</dd><dt><span>maxval :</span></dt><dd>18.856127</dd></dl></div><div class='xr-var-data'><pre>array([[13.491343 ,  9.158236 ,  8.374792 , ...,  6.7918754,  7.536188 ,
             3.4106967],
           [ 8.776862 ,  7.2384233,  7.81708  , ...,  6.1687107,  5.2053833,
             3.8317206],
           [ 8.109191 ,  6.4163857, 10.705735 , ...,  5.9906383,  1.8109474,
             4.119434 ],
           ...,
           [       nan,        nan,        nan, ...,        nan,        nan,
             7.122364 ],
           [       nan,        nan,        nan, ...,        nan,        nan,
             5.961014 ],
           [       nan,        nan,        nan, ...,        nan,        nan,
             7.4990945]], 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-835645eb-d932-49a0-82aa-ecd3438ad1c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-835645eb-d932-49a0-82aa-ecd3438ad1c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7165957b-6ade-4229-883d-63a38057e70a' class='xr-var-data-in' type='checkbox'><label for='data-7165957b-6ade-4229-883d-63a38057e70a' 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-79fdb388-dddd-487a-9359-b00b2c932314' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79fdb388-dddd-487a-9359-b00b2c932314' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-570f3904-0cf7-4cf6-9ac3-c7ab537742b5' class='xr-var-data-in' type='checkbox'><label for='data-570f3904-0cf7-4cf6-9ac3-c7ab537742b5' 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-cabc50de-3567-476d-8840-89231783aa48' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cabc50de-3567-476d-8840-89231783aa48' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f7cf60e-7c94-4de1-badb-b39c36d7b039' class='xr-var-data-in' type='checkbox'><label for='data-4f7cf60e-7c94-4de1-badb-b39c36d7b039' 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'>11.54 8.888 7.837 ... nan nan 8.336</div><input id='attrs-8fa3c183-479f-40c7-9625-3172d752582b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8fa3c183-479f-40c7-9625-3172d752582b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b92e92d-ffde-45e4-b46d-ac9d2f74bef5' class='xr-var-data-in' type='checkbox'><label for='data-7b92e92d-ffde-45e4-b46d-ac9d2f74bef5' 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>0.054951508</dd><dt><span>maxval :</span></dt><dd>19.204437</dd></dl></div><div class='xr-var-data'><pre>array([[11.544435 ,  8.887911 ,  7.83695  , ...,  6.057146 ,  8.827796 ,
             5.6484375],
           [ 7.6772537,  7.293043 ,  9.286712 , ...,  6.4379616,  6.4473305,
             5.7534585],
           [ 6.9295816,  6.974759 ,  9.298533 , ...,  6.30387  ,  4.667725 ,
             3.9122422],
           ...,
           [       nan,        nan,        nan, ...,        nan,        nan,
             6.8155465],
           [       nan,        nan,        nan, ...,        nan,        nan,
             5.509287 ],
           [       nan,        nan,        nan, ...,        nan,        nan,
             8.335578 ]], 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-e96e46b5-582c-4a66-9c30-36021b5d9ddf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e96e46b5-582c-4a66-9c30-36021b5d9ddf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6c6782f-3bd2-4e1d-a58b-568eebcefdb8' class='xr-var-data-in' type='checkbox'><label for='data-c6c6782f-3bd2-4e1d-a58b-568eebcefdb8' 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'>0.0004802 0.0001856 ... 0.002464</div><input id='attrs-b4bb15cd-533d-47b9-8803-cbcc0b5a7150' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4bb15cd-533d-47b9-8803-cbcc0b5a7150' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8af86b7-af03-479d-acc8-69311290db0c' class='xr-var-data-in' type='checkbox'><label for='data-d8af86b7-af03-479d-acc8-69311290db0c' 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>0.0047087558</dd></dl></div><div class='xr-var-data'><pre>array([[4.8021003e-04, 1.8564619e-04, 1.0000000e-06, ..., 2.1808736e-03,
            2.3248829e-03, 2.1974389e-03],
           [4.8021003e-04, 1.7461726e-04, 1.0000000e-06, ..., 2.5265112e-03,
            2.6249336e-03, 2.6869948e-03],
           [4.8021003e-04, 1.9018912e-04, 1.0000000e-06, ..., 2.2626205e-03,
            2.2009625e-03, 2.2373742e-03],
           ...,
           [          nan,           nan,           nan, ...,           nan,
                      nan, 2.4644251e-03],
           [          nan,           nan,           nan, ...,           nan,
                      nan, 2.4644251e-03],
           [          nan,           nan,           nan, ...,           nan,
                      nan, 2.4644251e-03]], 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-9e6444d4-fcbf-4208-9ef7-58156f4aaaa5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e6444d4-fcbf-4208-9ef7-58156f4aaaa5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6edd3082-d81c-4c12-be07-4cd6c9f14ece' class='xr-var-data-in' type='checkbox'><label for='data-6edd3082-d81c-4c12-be07-4cd6c9f14ece' 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 14.19 14.31 ... nan nan 14.0</div><input id='attrs-fbf3603d-b71d-478d-b2a3-10d4b1f919f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fbf3603d-b71d-478d-b2a3-10d4b1f919f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f3918aa-3ab3-46c7-9c9d-1647ca068f42' class='xr-var-data-in' type='checkbox'><label for='data-8f3918aa-3ab3-46c7-9c9d-1647ca068f42' 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>9.999999</dd><dt><span>maxval :</span></dt><dd>14.787869</dd></dl></div><div class='xr-var-data'><pre>array([[14.000173, 14.192927, 14.312838, ..., 10.120184, 10.162829,
            10.85776 ],
           [14.000173, 14.281803, 14.319256, ..., 10.      , 10.      ,
             9.999999],
           [14.000173, 14.251972, 14.1689  , ..., 10.928251, 10.778121,
            11.494691],
           ...,
           [      nan,       nan,       nan, ...,       nan,       nan,
            14.000063],
           [      nan,       nan,       nan, ...,       nan,       nan,
            14.000063],
           [      nan,       nan,       nan, ...,       nan,       nan,
            14.000063]], shape=(7500, 73), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b6ae2ed0-401d-4c6f-83ce-259408bf05b6' class='xr-section-summary-in' type='checkbox'  ><label for='section-b6ae2ed0-401d-4c6f-83ce-259408bf05b6' 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-071a2856-8b28-4bc3-b620-5d31aeee2217' class='xr-index-data-in' type='checkbox'/><label for='index-071a2856-8b28-4bc3-b620-5d31aeee2217' 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,
           ...
           7490, 7491, 7492, 7493, 7494, 7495, 7496, 7497, 7498, 7499],
          dtype=&#x27;int64&#x27;, name=&#x27;trajectory&#x27;, length=7500))</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-86ef3df0-9305-457b-91e0-dcaee758ea60' class='xr-index-data-in' type='checkbox'/><label for='index-86ef3df0-9305-457b-91e0-dcaee758ea60' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2025-10-03 14:12:23.402601&#x27;, &#x27;2025-10-03 14:42:23.402601&#x27;,
                   &#x27;2025-10-03 15:12:23.402601&#x27;, &#x27;2025-10-03 15:42:23.402601&#x27;,
                   &#x27;2025-10-03 16:12:23.402601&#x27;, &#x27;2025-10-03 16:42:23.402601&#x27;,
                   &#x27;2025-10-03 17:12:23.402601&#x27;, &#x27;2025-10-03 17:42:23.402601&#x27;,
                   &#x27;2025-10-03 18:12:23.402601&#x27;, &#x27;2025-10-03 18:42:23.402601&#x27;,
                   &#x27;2025-10-03 19:12:23.402601&#x27;, &#x27;2025-10-03 19:42:23.402601&#x27;,
                   &#x27;2025-10-03 20:12:23.402601&#x27;, &#x27;2025-10-03 20:42:23.402601&#x27;,
                   &#x27;2025-10-03 21:12:23.402601&#x27;, &#x27;2025-10-03 21:42:23.402601&#x27;,
                   &#x27;2025-10-03 22:12:23.402601&#x27;, &#x27;2025-10-03 22:42:23.402601&#x27;,
                   &#x27;2025-10-03 23:12:23.402601&#x27;, &#x27;2025-10-03 23:42:23.402601&#x27;,
                   &#x27;2025-10-04 00:12:23.402601&#x27;, &#x27;2025-10-04 00:42:23.402601&#x27;,
                   &#x27;2025-10-04 01:12:23.402601&#x27;, &#x27;2025-10-04 01:42:23.402601&#x27;,
                   &#x27;2025-10-04 02:12:23.402601&#x27;, &#x27;2025-10-04 02:42:23.402601&#x27;,
                   &#x27;2025-10-04 03:12:23.402601&#x27;, &#x27;2025-10-04 03:42:23.402601&#x27;,
                   &#x27;2025-10-04 04:12:23.402601&#x27;, &#x27;2025-10-04 04:42:23.402601&#x27;,
                   &#x27;2025-10-04 05:12:23.402601&#x27;, &#x27;2025-10-04 05:42:23.402601&#x27;,
                   &#x27;2025-10-04 06:12:23.402601&#x27;, &#x27;2025-10-04 06:42:23.402601&#x27;,
                   &#x27;2025-10-04 07:12:23.402601&#x27;, &#x27;2025-10-04 07:42:23.402601&#x27;,
                   &#x27;2025-10-04 08:12:23.402601&#x27;, &#x27;2025-10-04 08:42:23.402601&#x27;,
                   &#x27;2025-10-04 09:12:23.402601&#x27;, &#x27;2025-10-04 09:42:23.402601&#x27;,
                   &#x27;2025-10-04 10:12:23.402601&#x27;, &#x27;2025-10-04 10:42:23.402601&#x27;,
                   &#x27;2025-10-04 11:12:23.402601&#x27;, &#x27;2025-10-04 11:42:23.402601&#x27;,
                   &#x27;2025-10-04 12:12:23.402601&#x27;, &#x27;2025-10-04 12:42:23.402601&#x27;,
                   &#x27;2025-10-04 13:12:23.402601&#x27;, &#x27;2025-10-04 13:42:23.402601&#x27;,
                   &#x27;2025-10-04 14:12:23.402601&#x27;, &#x27;2025-10-04 14:42:23.402601&#x27;,
                   &#x27;2025-10-04 15:12:23.402601&#x27;, &#x27;2025-10-04 15:42:23.402601&#x27;,
                   &#x27;2025-10-04 16:12:23.402601&#x27;, &#x27;2025-10-04 16:42:23.402601&#x27;,
                   &#x27;2025-10-04 17:12:23.402601&#x27;, &#x27;2025-10-04 17:42:23.402601&#x27;,
                   &#x27;2025-10-04 18:12:23.402601&#x27;, &#x27;2025-10-04 18:42:23.402601&#x27;,
                   &#x27;2025-10-04 19:12:23.402601&#x27;, &#x27;2025-10-04 19:42:23.402601&#x27;,
                   &#x27;2025-10-04 20:12:23.402601&#x27;, &#x27;2025-10-04 20:42:23.402601&#x27;,
                   &#x27;2025-10-04 21:12:23.402601&#x27;, &#x27;2025-10-04 21:42:23.402601&#x27;,
                   &#x27;2025-10-04 22:12:23.402601&#x27;, &#x27;2025-10-04 22:42:23.402601&#x27;,
                   &#x27;2025-10-04 23:12:23.402601&#x27;, &#x27;2025-10-04 23:42:23.402601&#x27;,
                   &#x27;2025-10-05 00:12:23.402601&#x27;, &#x27;2025-10-05 00:42:23.402601&#x27;,
                   &#x27;2025-10-05 01:12:23.402601&#x27;, &#x27;2025-10-05 01:42:23.402601&#x27;,
                   &#x27;2025-10-05 02:12:23.402601&#x27;],
                  dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=&#x27;30min&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-11b1b144-827e-417a-b783-170a715f4520' class='xr-section-summary-in' type='checkbox'  ><label for='section-11b1b144-827e-417a-b783-170a715f4520' class='xr-section-summary' >Attributes: <span>(126)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.11, ACDD-1.3</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table v85</dd><dt><span>featureType :</span></dt><dd>trajectory</dd><dt><span>title :</span></dt><dd>OpenDrift trajectory simulation</dd><dt><span>summary :</span></dt><dd>Output from simulation with OpenDrift framework</dd><dt><span>keywords :</span></dt><dd>trajectory, drift, lagrangian, simulation</dd><dt><span>history :</span></dt><dd>Created 2025-10-03 14:12:27.935888</dd><dt><span>date_created :</span></dt><dd>2025-10-03T14:12:27.935907</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>2025-10-03 14:12:23.402601</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:horizontal_diffusivity :</span></dt><dd>0</dd><dt><span>config_drift:profiles_depth :</span></dt><dd>50</dd><dt><span>config_drift:wind_uncertainty :</span></dt><dd>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>1.14.3</dd><dt><span>seed_geojson :</span></dt><dd>{&quot;features&quot;: [], &quot;type&quot;: &quot;FeatureCollection&quot;}</dd><dt><span>simulation_time :</span></dt><dd>2025-10-03 14:12:27.946290</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>2025-10-05 02:12:23.402601</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
     0:00:06.2  total
     0:00:00.0  preparing
     0:00:06.2  reading
     0:00:00.0  masking
    --------------------
    https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be
     0:01:22.5  total
     0:00:00.0  preparing
     0:01:19.0  reading
     0:00:12.2  interpolation
     0:00:00.3  interpolation_time
     0:00:03.4  rotating vectors
     0:00:00.0  masking
    --------------------
    Performance:
     2:35.1 total time
        4.5 configuration
        0.0 preparing main loop
          0.0 moving elements to ocean
     2:30.0 main loop
          5.7 updating elements
            4.5 vertical mixing
        0.4 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>59.1479</dd><dt><span>geospatial_lat_max :</span></dt><dd>59.22286</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>10.895992</dd><dt><span>geospatial_lon_max :</span></dt><dd>11.008433</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>point</dd><dt><span>runtime :</span></dt><dd>0:02:35.123997</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

    14:15:12 INFO    opendrift:4613: Saving animation to /root/project/docs/source/gallery/animations/example_sediments_0.gif...
    14:16:10 INFO    opendrift:3054: Time to make animation: 0:01:07.773918




.. 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:** (3 minutes 53.341 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>`_