.. 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

    14:16:01 INFO    opendrift:576: OpenDriftSimulation initialised (version 1.14.8 / v1.14.8-22-ged2e201)




.. 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

    14:16:01 INFO    opendrift.models.basemodel.environment:203: Adding a global landmask from GSHHG
    14:16:05 INFO    opendrift.models.basemodel.environment:227: Fallback values will be used for the following variables which have no readers: 
    14:16:05 INFO    opendrift.models.basemodel.environment:230:    x_sea_water_velocity: 0.000000
    14:16:05 INFO    opendrift.models.basemodel.environment:230:    y_sea_water_velocity: 0.000000
    14:16:05 INFO    opendrift.models.basemodel.environment:230:    sea_surface_height: 0.000000
    14:16:05 INFO    opendrift.models.basemodel.environment:230:    upward_sea_water_velocity: 0.000000
    14:16:05 INFO    opendrift.models.basemodel.environment:230:    x_wind: 0.000000
    14:16:05 INFO    opendrift.models.basemodel.environment:230:    y_wind: 0.000000
    14:16:05 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_stokes_drift_x_velocity: 0.000000
    14:16:05 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_stokes_drift_y_velocity: 0.000000
    14:16:05 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_period_at_variance_spectral_density_maximum: 0.000000
    14:16:05 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment: 0.000000
    14:16:05 INFO    opendrift.models.basemodel.environment:230:    ocean_vertical_diffusivity: 0.020000
    14:16:05 INFO    opendrift.models.basemodel.environment:230:    ocean_mixed_layer_thickness: 50.000000
    14:16:05 INFO    opendrift.models.basemodel.environment:230:    sea_floor_depth_below_sea_level: 10000.000000
    14:16:05 INFO    opendrift:1847: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
    14:16:05 INFO    opendrift:1847: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
    14:16:05 INFO    opendrift:955: Using existing reader for land_binary_mask to move elements to ocean
    14:16:05 INFO    opendrift:986: All points are in ocean
    14:16:05 INFO    opendrift:2144: 2026-03-03 14:16:01.501271 - step 1 of 216 - 35 active elements (0 deactivated)
    14:16:05 INFO    opendrift.readers:63: Opening file with xr.open_dataset
    14:16:07 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'x': 'X', 'y': 'Y', 'z': 'depth', 'time': 'time'}
    14:16:07 INFO    opendrift.readers.basereader:178: Variable x_sea_water_velocity will be rotated from eastward_sea_water_velocity
    14:16:07 INFO    opendrift.readers.basereader:178: Variable y_sea_water_velocity will be rotated from northward_sea_water_velocity
    14:16:07 INFO    opendrift.readers.basereader:178: Variable x_wind will be rotated from eastward_wind
    14:16:07 INFO    opendrift.readers.basereader:178: Variable y_wind will be rotated from northward_wind
    14:16:10 INFO    opendrift:2144: 2026-03-03 14:26:01.501271 - step 2 of 216 - 70 active elements (0 deactivated)
    14:16:10 INFO    opendrift:2144: 2026-03-03 14:36:01.501271 - step 3 of 216 - 105 active elements (0 deactivated)
    14:16:11 INFO    opendrift:2144: 2026-03-03 14:46:01.501271 - step 4 of 216 - 139 active elements (0 deactivated)
    14:16:13 INFO    opendrift:2144: 2026-03-03 14:56:01.501271 - step 5 of 216 - 174 active elements (0 deactivated)
    14:16:13 INFO    opendrift:2144: 2026-03-03 15:06:01.501271 - step 6 of 216 - 209 active elements (0 deactivated)
    14:16:15 INFO    opendrift:2144: 2026-03-03 15:16:01.501271 - step 7 of 216 - 244 active elements (0 deactivated)
    14:16:15 INFO    opendrift:2144: 2026-03-03 15:26:01.501271 - step 8 of 216 - 278 active elements (0 deactivated)
    14:16:15 INFO    opendrift:2144: 2026-03-03 15:36:01.501271 - step 9 of 216 - 313 active elements (0 deactivated)
    14:16:15 INFO    opendrift:2144: 2026-03-03 15:46:01.501271 - step 10 of 216 - 348 active elements (0 deactivated)
    14:16:15 INFO    opendrift:2144: 2026-03-03 15:56:01.501271 - step 11 of 216 - 382 active elements (0 deactivated)
    14:16:15 INFO    opendrift:2144: 2026-03-03 16:06:01.501271 - step 12 of 216 - 417 active elements (0 deactivated)
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    14:16:18 INFO    opendrift:2144: 2026-03-03 17:16:01.501271 - step 19 of 216 - 660 active elements (0 deactivated)
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    14:16:18 INFO    opendrift:2144: 2026-03-03 18:06:01.501271 - step 24 of 216 - 834 active elements (0 deactivated)
    14:16:20 INFO    opendrift:2144: 2026-03-03 18:16:01.501271 - step 25 of 216 - 868 active elements (0 deactivated)
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    14:16:22 INFO    opendrift:2144: 2026-03-03 20:06:01.501271 - step 36 of 216 - 1250 active elements (0 deactivated)
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    14:17:02 INFO    opendrift:2144: 2026-03-04 12:46:01.501271 - step 136 of 216 - 4722 active elements (0 deactivated)
    14:17:03 INFO    opendrift:2144: 2026-03-04 12:56:01.501271 - step 137 of 216 - 4757 active elements (0 deactivated)
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    14:17:05 INFO    opendrift:2144: 2026-03-04 13:16:01.501271 - step 139 of 216 - 4826 active elements (0 deactivated)
    14:17:06 INFO    opendrift:2144: 2026-03-04 13:26:01.501271 - step 140 of 216 - 4861 active elements (0 deactivated)
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    14:17:06 INFO    opendrift:2144: 2026-03-04 13:46:01.501271 - step 142 of 216 - 4931 active elements (0 deactivated)
    14:17:07 INFO    opendrift:2144: 2026-03-04 13:56:01.501271 - step 143 of 216 - 4965 active elements (0 deactivated)
    14:17:07 INFO    opendrift:2144: 2026-03-04 14:06:01.501271 - step 144 of 216 - 5000 active elements (0 deactivated)
    14:17:09 INFO    opendrift:2144: 2026-03-04 14:16:01.501271 - step 145 of 216 - 5035 active elements (0 deactivated)
    14:17:09 INFO    opendrift:2144: 2026-03-04 14:26:01.501271 - step 146 of 216 - 5069 active elements (0 deactivated)
    14:17:09 INFO    opendrift:2144: 2026-03-04 14:36:01.501271 - step 147 of 216 - 5104 active elements (0 deactivated)
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    14:17:10 INFO    opendrift:2144: 2026-03-04 15:06:01.501271 - step 150 of 216 - 5208 active elements (0 deactivated)
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    14:17:13 INFO    opendrift:2144: 2026-03-04 15:26:01.501271 - step 152 of 216 - 5278 active elements (0 deactivated)
    14:17:13 INFO    opendrift:2144: 2026-03-04 15:36:01.501271 - step 153 of 216 - 5312 active elements (0 deactivated)
    14:17:13 INFO    opendrift:2144: 2026-03-04 15:46:01.501271 - step 154 of 216 - 5347 active elements (0 deactivated)
    14:17:13 INFO    opendrift:2144: 2026-03-04 15:56:01.501271 - step 155 of 216 - 5382 active elements (0 deactivated)
    14:17:14 INFO    opendrift:2144: 2026-03-04 16:06:01.501271 - step 156 of 216 - 5417 active elements (0 deactivated)
    14:17:16 INFO    opendrift:2144: 2026-03-04 16:16:01.501271 - step 157 of 216 - 5451 active elements (0 deactivated)
    14:17:16 INFO    opendrift:2144: 2026-03-04 16:26:01.501271 - step 158 of 216 - 5486 active elements (0 deactivated)
    14:17:16 INFO    opendrift:2144: 2026-03-04 16:36:01.501271 - step 159 of 216 - 5521 active elements (0 deactivated)
    14:17:16 INFO    opendrift:2144: 2026-03-04 16:46:01.501271 - step 160 of 216 - 5556 active elements (0 deactivated)
    14:17:17 INFO    opendrift:2144: 2026-03-04 16:56:01.501271 - step 161 of 216 - 5590 active elements (0 deactivated)
    14:17:17 INFO    opendrift:2144: 2026-03-04 17:06:01.501271 - step 162 of 216 - 5625 active elements (0 deactivated)
    14:17:19 INFO    opendrift:2144: 2026-03-04 17:16:01.501271 - step 163 of 216 - 5660 active elements (0 deactivated)
    14:17:19 INFO    opendrift:2144: 2026-03-04 17:26:01.501271 - step 164 of 216 - 5694 active elements (0 deactivated)
    14:17:20 INFO    opendrift:2144: 2026-03-04 17:36:01.501271 - step 165 of 216 - 5729 active elements (0 deactivated)
    14:17:20 INFO    opendrift:2144: 2026-03-04 17:46:01.501271 - step 166 of 216 - 5764 active elements (0 deactivated)
    14:17:20 INFO    opendrift:2144: 2026-03-04 17:56:01.501271 - step 167 of 216 - 5799 active elements (0 deactivated)
    14:17:20 INFO    opendrift:2144: 2026-03-04 18:06:01.501271 - step 168 of 216 - 5833 active elements (0 deactivated)
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    14:17:49 INFO    opendrift:2144: 2026-03-05 02:06:01.501271 - step 216 of 216 - 7500 active elements (0 deactivated)
    14:17:53 INFO    opendrift:2254: 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;
    }

    .xr-var-data > pre,
    .xr-index-data > pre,
    .xr-var-data > table > tbody > tr {
      background-color: transparent !important;
    }

    .xr-var-name span,
    .xr-var-data,
    .xr-index-name div,
    .xr-index-data,
    .xr-attrs {
      padding-left: 25px !important;
    }

    .xr-attrs,
    .xr-var-attrs,
    .xr-var-data,
    .xr-index-data {
      grid-column: 1 / -1;
    }

    dl.xr-attrs {
      padding: 0;
      margin: 0;
      display: grid;
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    .xr-icon-database,
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    .xr-var-attrs-in:checked + label > .xr-icon-file-text2,
    .xr-var-data-in:checked + label > .xr-icon-database,
    .xr-index-data-in:checked + label > .xr-icon-database {
      color: var(--xr-font-color0);
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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-a8feddc2-f86b-4f1d-8cba-bea34aa9cdb8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a8feddc2-f86b-4f1d-8cba-bea34aa9cdb8' 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-4f9c6a08-ada9-44a7-a92d-4849bbea94fc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4f9c6a08-ada9-44a7-a92d-4849bbea94fc' 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-12ad99eb-aab0-4171-88a4-1cee0297ba1e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-12ad99eb-aab0-4171-88a4-1cee0297ba1e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c80df26-7dbf-4168-a329-3051fea3ad5b' class='xr-var-data-in' type='checkbox'><label for='data-2c80df26-7dbf-4168-a329-3051fea3ad5b' 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'>2026-03-03T14:16:01.501271 ... 2...</div><input id='attrs-1e983328-efa1-4406-aa30-4f756851b6be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e983328-efa1-4406-aa30-4f756851b6be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d898beb-e8c7-490b-88b6-f103d31455f8' class='xr-var-data-in' type='checkbox'><label for='data-3d898beb-e8c7-490b-88b6-f103d31455f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float64&#x27;&gt;</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2026-03-03T14:16:01.501271000&#x27;, &#x27;2026-03-03T14:46:01.501271000&#x27;,
           &#x27;2026-03-03T15:16:01.501271000&#x27;, &#x27;2026-03-03T15:46:01.501271000&#x27;,
           &#x27;2026-03-03T16:16:01.501271000&#x27;, &#x27;2026-03-03T16:46:01.501271000&#x27;,
           &#x27;2026-03-03T17:16:01.501271000&#x27;, &#x27;2026-03-03T17:46:01.501271000&#x27;,
           &#x27;2026-03-03T18:16:01.501271000&#x27;, &#x27;2026-03-03T18:46:01.501271000&#x27;,
           &#x27;2026-03-03T19:16:01.501271000&#x27;, &#x27;2026-03-03T19:46:01.501271000&#x27;,
           &#x27;2026-03-03T20:16:01.501271000&#x27;, &#x27;2026-03-03T20:46:01.501271000&#x27;,
           &#x27;2026-03-03T21:16:01.501271000&#x27;, &#x27;2026-03-03T21:46:01.501271000&#x27;,
           &#x27;2026-03-03T22:16:01.501271000&#x27;, &#x27;2026-03-03T22:46:01.501271000&#x27;,
           &#x27;2026-03-03T23:16:01.501271000&#x27;, &#x27;2026-03-03T23:46:01.501271000&#x27;,
           &#x27;2026-03-04T00:16:01.501271000&#x27;, &#x27;2026-03-04T00:46:01.501271000&#x27;,
           &#x27;2026-03-04T01:16:01.501271000&#x27;, &#x27;2026-03-04T01:46:01.501271000&#x27;,
           &#x27;2026-03-04T02:16:01.501271000&#x27;, &#x27;2026-03-04T02:46:01.501271000&#x27;,
           &#x27;2026-03-04T03:16:01.501271000&#x27;, &#x27;2026-03-04T03:46:01.501271000&#x27;,
           &#x27;2026-03-04T04:16:01.501271000&#x27;, &#x27;2026-03-04T04:46:01.501271000&#x27;,
           &#x27;2026-03-04T05:16:01.501271000&#x27;, &#x27;2026-03-04T05:46:01.501271000&#x27;,
           &#x27;2026-03-04T06:16:01.501271000&#x27;, &#x27;2026-03-04T06:46:01.501271000&#x27;,
           &#x27;2026-03-04T07:16:01.501271000&#x27;, &#x27;2026-03-04T07:46:01.501271000&#x27;,
           &#x27;2026-03-04T08:16:01.501271000&#x27;, &#x27;2026-03-04T08:46:01.501271000&#x27;,
           &#x27;2026-03-04T09:16:01.501271000&#x27;, &#x27;2026-03-04T09:46:01.501271000&#x27;,
           &#x27;2026-03-04T10:16:01.501271000&#x27;, &#x27;2026-03-04T10:46:01.501271000&#x27;,
           &#x27;2026-03-04T11:16:01.501271000&#x27;, &#x27;2026-03-04T11:46:01.501271000&#x27;,
           &#x27;2026-03-04T12:16:01.501271000&#x27;, &#x27;2026-03-04T12:46:01.501271000&#x27;,
           &#x27;2026-03-04T13:16:01.501271000&#x27;, &#x27;2026-03-04T13:46:01.501271000&#x27;,
           &#x27;2026-03-04T14:16:01.501271000&#x27;, &#x27;2026-03-04T14:46:01.501271000&#x27;,
           &#x27;2026-03-04T15:16:01.501271000&#x27;, &#x27;2026-03-04T15:46:01.501271000&#x27;,
           &#x27;2026-03-04T16:16:01.501271000&#x27;, &#x27;2026-03-04T16:46:01.501271000&#x27;,
           &#x27;2026-03-04T17:16:01.501271000&#x27;, &#x27;2026-03-04T17:46:01.501271000&#x27;,
           &#x27;2026-03-04T18:16:01.501271000&#x27;, &#x27;2026-03-04T18:46:01.501271000&#x27;,
           &#x27;2026-03-04T19:16:01.501271000&#x27;, &#x27;2026-03-04T19:46:01.501271000&#x27;,
           &#x27;2026-03-04T20:16:01.501271000&#x27;, &#x27;2026-03-04T20:46:01.501271000&#x27;,
           &#x27;2026-03-04T21:16:01.501271000&#x27;, &#x27;2026-03-04T21:46:01.501271000&#x27;,
           &#x27;2026-03-04T22:16:01.501271000&#x27;, &#x27;2026-03-04T22:46:01.501271000&#x27;,
           &#x27;2026-03-04T23:16:01.501271000&#x27;, &#x27;2026-03-04T23:46:01.501271000&#x27;,
           &#x27;2026-03-05T00:16:01.501271000&#x27;, &#x27;2026-03-05T00:46:01.501271000&#x27;,
           &#x27;2026-03-05T01:16:01.501271000&#x27;, &#x27;2026-03-05T01:46:01.501271000&#x27;,
           &#x27;2026-03-05T02:16:01.501271000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-321597be-1df9-458f-81ac-32c0c0007a4c' class='xr-section-summary-in' type='checkbox'  ><label for='section-321597be-1df9-458f-81ac-32c0c0007a4c' 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-b251ab1d-87ad-4281-9332-bc62fe61438e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b251ab1d-87ad-4281-9332-bc62fe61438e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-910707d8-b4ff-482c-9a04-a98c5ab8c4f3' class='xr-var-data-in' type='checkbox'><label for='data-910707d8-b4ff-482c-9a04-a98c5ab8c4f3' 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-81056e94-7d00-47d6-9f19-388a411a0fe0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81056e94-7d00-47d6-9f19-388a411a0fe0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c19e166-17ea-442d-9e64-4191bfab8d85' class='xr-var-data-in' type='checkbox'><label for='data-9c19e166-17ea-442d-9e64-4191bfab8d85' 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-6c5b5819-50f3-424d-a28d-8936426d1986' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c5b5819-50f3-424d-a28d-8936426d1986' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98b584d7-a5b4-4180-937f-0f67d0b40757' class='xr-var-data-in' type='checkbox'><label for='data-98b584d7-a5b4-4180-937f-0f67d0b40757' 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-4a17e55c-4958-49ac-b06a-058ff85eacfd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a17e55c-4958-49ac-b06a-058ff85eacfd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6cfaf46b-5646-49b7-9d70-fa95399dabdd' class='xr-var-data-in' type='checkbox'><label for='data-6cfaf46b-5646-49b7-9d70-fa95399dabdd' 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-9b6e8333-ea18-4b9c-b9cc-5e1a3f6f41de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b6e8333-ea18-4b9c-b9cc-5e1a3f6f41de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c061b93d-ec77-4d3e-9a08-0d7670aa0139' class='xr-var-data-in' type='checkbox'><label for='data-c061b93d-ec77-4d3e-9a08-0d7670aa0139' 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>10.876535</dd><dt><span>maxval :</span></dt><dd>11.186546</dd></dl></div><div class='xr-var-data'><pre>array([[10.96292 , 10.979049, 10.979299, ..., 11.021744, 11.021744,
            11.021841],
           [10.96292 , 10.976533, 10.982222, ..., 11.0153  , 11.015678,
            11.010209],
           [10.96292 , 10.976472, 10.978132, ..., 11.010479, 11.010678,
            11.010127],
           ...,
           [      nan,       nan,       nan, ...,       nan,       nan,
            10.964656],
           [      nan,       nan,       nan, ...,       nan,       nan,
            10.965882],
           [      nan,       nan,       nan, ...,       nan,       nan,
            10.966203]], 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-8042b743-a5e3-4603-9afe-36396534785a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8042b743-a5e3-4603-9afe-36396534785a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e77d936c-56b0-4f58-8b2f-944200877627' class='xr-var-data-in' type='checkbox'><label for='data-e77d936c-56b0-4f58-8b2f-944200877627' 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>59.052647</dd><dt><span>maxval :</span></dt><dd>59.18872</dd></dl></div><div class='xr-var-data'><pre>array([[59.169193, 59.168274, 59.170128, ..., 59.16745 , 59.16745 ,
            59.167645],
           [59.169193, 59.17096 , 59.170345, ..., 59.185207, 59.183777,
            59.18161 ],
           [59.169193, 59.167267, 59.167267, ..., 59.162308, 59.16573 ,
            59.166134],
           ...,
           [      nan,       nan,       nan, ...,       nan,       nan,
            59.16932 ],
           [      nan,       nan,       nan, ...,       nan,       nan,
            59.169277],
           [      nan,       nan,       nan, ...,       nan,       nan,
            59.169395]], 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-86317236-4c8f-4c0d-8647-bffce5595be0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86317236-4c8f-4c0d-8647-bffce5595be0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b99296c-1083-4c93-b98d-fbd531056ec5' class='xr-var-data-in' type='checkbox'><label for='data-1b99296c-1083-4c93-b98d-fbd531056ec5' 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-43bc3153-ce01-42c2-8ee8-190d45776092' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-43bc3153-ce01-42c2-8ee8-190d45776092' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3b58039-1870-4653-85d7-4f7e10ea17c3' class='xr-var-data-in' type='checkbox'><label for='data-e3b58039-1870-4653-85d7-4f7e10ea17c3' 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-93a17ed2-5f36-44e1-92e6-cb5e6e02818f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93a17ed2-5f36-44e1-92e6-cb5e6e02818f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-335aff9f-1a99-4b5d-93ff-c15c7c158fbf' class='xr-var-data-in' type='checkbox'><label for='data-335aff9f-1a99-4b5d-93ff-c15c7c158fbf' 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-b3899839-7ac6-48c4-a623-0d31d01acdcd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3899839-7ac6-48c4-a623-0d31d01acdcd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b065916f-adbc-4bcc-a665-2efd80810b04' class='xr-var-data-in' type='checkbox'><label for='data-b065916f-adbc-4bcc-a665-2efd80810b04' 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-5bdb789e-0a71-4595-965b-e6dcbd8d39d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5bdb789e-0a71-4595-965b-e6dcbd8d39d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c29275d8-ac9e-439d-b636-9baffcdf0e31' class='xr-var-data-in' type='checkbox'><label for='data-c29275d8-ac9e-439d-b636-9baffcdf0e31' 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'>0.5918 0.3217 ... nan 0.3594</div><input id='attrs-781560ba-6d42-44a6-bc6a-e5b9b67307e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-781560ba-6d42-44a6-bc6a-e5b9b67307e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a513cf5e-a6ee-48dd-8d41-620c749cc64a' class='xr-var-data-in' type='checkbox'><label for='data-a513cf5e-a6ee-48dd-8d41-620c749cc64a' 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>-1.0029804</dd><dt><span>maxval :</span></dt><dd>1.1442838</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.5918268 ,  0.3217243 , -0.2513419 , ...,  0.10338201,
            -0.02451965,  0.05469348],
           [ 0.31904778,  0.19625647,  0.5290625 , ...,  0.14267504,
            -0.14788716, -0.20459437],
           [ 0.43476394,  0.4126668 ,  0.22118168, ...,  0.2329435 ,
             0.0527837 ,  0.0582644 ],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.15894435],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.25321892],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.35936528]], 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'>-0.1335 -0.1643 ... nan -0.0611</div><input id='attrs-bdd090ae-7105-4f9c-8863-b724b10b201a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bdd090ae-7105-4f9c-8863-b724b10b201a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d586650e-50be-47d1-aabf-a693586bf910' class='xr-var-data-in' type='checkbox'><label for='data-d586650e-50be-47d1-aabf-a693586bf910' 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>-1.1850494</dd><dt><span>maxval :</span></dt><dd>1.0060198</dd></dl></div><div class='xr-var-data'><pre>array([[-0.13353734, -0.16434419,  0.11907701, ...,  0.08367705,
            -0.24488322,  0.02630192],
           [ 0.08125101, -0.03112449,  0.10504097, ..., -0.3397598 ,
            -0.06375144, -0.5830832 ],
           [ 0.07566884, -0.06408919, -0.12465917, ..., -0.023816  ,
             0.1864865 ,  0.0387547 ],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.0675559 ],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.05209498],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.06110445]], 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'>0.03541 0.06078 ... nan -0.1449</div><input id='attrs-5e4cbdad-933a-4b47-8b80-0df99954320e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e4cbdad-933a-4b47-8b80-0df99954320e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-266d3a3b-44ba-4bfe-8883-869aeb11fe8a' class='xr-var-data-in' type='checkbox'><label for='data-266d3a3b-44ba-4bfe-8883-869aeb11fe8a' 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>-0.36017042</dd><dt><span>maxval :</span></dt><dd>0.08762212</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.03540866,  0.06078117,  0.07732265, ..., -0.20639817,
            -0.1709321 , -0.14735049],
           [ 0.03540866,  0.06062373,  0.0775778 , ..., -0.20413026,
            -0.16895771, -0.14538558],
           [ 0.03540866,  0.06017713,  0.07704121, ..., -0.20623933,
            -0.17132978, -0.14729513],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.14490661],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.14490661],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.14490661]], 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'>1.967e-05 4.658e-06 ... 1.212e-05</div><input id='attrs-b7c92b34-f030-480a-9b19-647bf711ba52' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b7c92b34-f030-480a-9b19-647bf711ba52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cfff20a5-1106-4cb4-98e0-377c12b9729e' class='xr-var-data-in' type='checkbox'><label for='data-cfff20a5-1106-4cb4-98e0-377c12b9729e' 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>-4.7056907e-05</dd><dt><span>maxval :</span></dt><dd>2.7670836e-05</dd></dl></div><div class='xr-var-data'><pre>array([[1.96655947e-05, 4.65832636e-06, 7.23188350e-07, ...,
            1.99999995e-05, 1.99999995e-05, 1.99999995e-05],
           [1.96655947e-05, 4.65832636e-06, 1.40514976e-06, ...,
            1.99999995e-05, 1.99999995e-05, 1.99999995e-05],
           [1.96655947e-05, 4.73524824e-06, 1.46819108e-08, ...,
            1.99999995e-05, 1.99999995e-05, 1.99999995e-05],
           ...,
           [           nan,            nan,            nan, ...,
                       nan,            nan, 1.21235835e-05],
           [           nan,            nan,            nan, ...,
                       nan,            nan, 1.21235835e-05],
           [           nan,            nan,            nan, ...,
                       nan,            nan, 1.21235835e-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'>7.193 3.126 4.268 ... nan -2.324</div><input id='attrs-db9cbd9c-55fb-455a-a1eb-7c35de19ae6f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db9cbd9c-55fb-455a-a1eb-7c35de19ae6f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40aaa558-499f-4a3d-9508-0214d2892293' class='xr-var-data-in' type='checkbox'><label for='data-40aaa558-499f-4a3d-9508-0214d2892293' 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>-10.789597</dd><dt><span>maxval :</span></dt><dd>13.997931</dd></dl></div><div class='xr-var-data'><pre>array([[ 7.192647  ,  3.1264455 ,  4.2675776 , ...,  0.7715834 ,
            -3.9892342 , -2.4861825 ],
           [ 5.992432  ,  3.4135635 ,  0.51406264, ..., -1.4412117 ,
            -2.3453867 , -2.2510457 ],
           [ 8.0132675 ,  3.1117787 ,  6.237754  , ..., -1.4595406 ,
            -2.138936  ,  1.1831821 ],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.32444817],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  1.4580427 ],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -2.3240197 ]], 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'>7.268 2.869 2.302 ... nan nan 4.938</div><input id='attrs-f877ad44-9630-46ab-b5fb-0f95027de476' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f877ad44-9630-46ab-b5fb-0f95027de476' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1888be4-faad-48b6-be76-8b5804e086d9' class='xr-var-data-in' type='checkbox'><label for='data-a1888be4-faad-48b6-be76-8b5804e086d9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>minval :</span></dt><dd>-7.8604627</dd><dt><span>maxval :</span></dt><dd>10.606622</dd></dl></div><div class='xr-var-data'><pre>array([[ 7.2683353 ,  2.8692243 ,  2.3023582 , ...,  2.858042  ,
             4.623109  ,  1.1678114 ],
           [ 2.553855  ,  1.1034003 ,  1.6965522 , ...,  1.8944659 ,
             2.0510979 ,  1.2811712 ],
           [ 1.8861831 ,  0.01379136,  4.5488405 , ...,  2.0857818 ,
            -1.05299   ,  1.8207885 ],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan,  4.560889  ],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  3.3995388 ],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  4.9376197 ]], 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-c7bc4c01-80f2-441b-ad4e-d3a18294be89' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c7bc4c01-80f2-441b-ad4e-d3a18294be89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e68ac80f-ddaa-4a7b-b3c2-7e0fcf1841ce' class='xr-var-data-in' type='checkbox'><label for='data-e68ac80f-ddaa-4a7b-b3c2-7e0fcf1841ce' 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-a583f7bd-6bc3-4481-bb93-3b369fb1a4e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a583f7bd-6bc3-4481-bb93-3b369fb1a4e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64072179-ac76-4952-a40b-553d0b89efcc' class='xr-var-data-in' type='checkbox'><label for='data-64072179-ac76-4952-a40b-553d0b89efcc' 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-abb143a7-7109-4f50-b4b5-eb959674b8aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-abb143a7-7109-4f50-b4b5-eb959674b8aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d4898e3-feaf-4677-b135-fc3dfcc861c7' class='xr-var-data-in' type='checkbox'><label for='data-3d4898e3-feaf-4677-b135-fc3dfcc861c7' 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'>8.737 3.626 4.143 ... nan nan 4.663</div><input id='attrs-80cf0f30-86e0-4ec7-a7f4-751170cfd2d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80cf0f30-86e0-4ec7-a7f4-751170cfd2d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4f37470-8911-4be2-ba80-f0df647bda3f' class='xr-var-data-in' type='checkbox'><label for='data-d4f37470-8911-4be2-ba80-f0df647bda3f' 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>0.005688604</dd><dt><span>maxval :</span></dt><dd>12.60579</dd></dl></div><div class='xr-var-data'><pre>array([[8.737473 , 3.6259277, 4.143352 , ..., 2.5295424, 5.21767  ,
            2.3470562],
           [5.5659704, 3.065384 , 1.5147403, ..., 2.0339441, 2.662309 ,
            2.2131624],
           [7.0342264, 2.6589496, 6.596686 , ..., 2.175252 , 2.037126 ,
            1.8554392],
           ...,
           [      nan,       nan,       nan, ...,       nan,       nan,
            3.9069939],
           [      nan,       nan,       nan, ...,       nan,       nan,
            3.1607041],
           [      nan,       nan,       nan, ...,       nan,       nan,
            4.663027 ]], 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-59828ccd-15aa-4912-9829-ee633a39670a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-59828ccd-15aa-4912-9829-ee633a39670a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a4f9ef2-5b74-459f-b4ee-0c5ea91f940b' class='xr-var-data-in' type='checkbox'><label for='data-0a4f9ef2-5b74-459f-b4ee-0c5ea91f940b' 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'>0.0004389 0.0007662 ... nan 1e-06</div><input id='attrs-c4b67cc9-2f96-4f14-8d20-b099adceb4bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c4b67cc9-2f96-4f14-8d20-b099adceb4bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f1b6148-d38c-4b85-9cc7-8c810d95de06' class='xr-var-data-in' type='checkbox'><label for='data-2f1b6148-d38c-4b85-9cc7-8c810d95de06' 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>0.00097323715</dd></dl></div><div class='xr-var-data'><pre>array([[4.3891900e-04, 7.6618174e-04, 8.9145429e-04, ..., 1.0000000e-06,
            1.0000000e-06, 1.0000000e-06],
           [4.3891900e-04, 7.4978295e-04, 9.0385054e-04, ..., 1.0000000e-06,
            1.0000000e-06, 1.0000000e-06],
           [4.3891900e-04, 7.6715351e-04, 9.1804634e-04, ..., 1.0000000e-06,
            1.0000000e-06, 1.0000000e-06],
           ...,
           [          nan,           nan,           nan, ...,           nan,
                      nan, 1.0000000e-06],
           [          nan,           nan,           nan, ...,           nan,
                      nan, 1.0000000e-06],
           [          nan,           nan,           nan, ...,           nan,
                      nan, 1.0000000e-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-9b32ecad-05a6-41ff-9cc9-83aa714a074b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b32ecad-05a6-41ff-9cc9-83aa714a074b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2dd78ee8-c028-4cf3-afb7-4c7aadd5f044' class='xr-var-data-in' type='checkbox'><label for='data-2dd78ee8-c028-4cf3-afb7-4c7aadd5f044' 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 13.9 13.92 ... nan nan 14.0</div><input id='attrs-a35d5ebf-26d4-4170-9978-ab2925cf242e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a35d5ebf-26d4-4170-9978-ab2925cf242e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c873aa37-5a82-4ec1-80f2-a7e3a3991063' class='xr-var-data-in' type='checkbox'><label for='data-c873aa37-5a82-4ec1-80f2-a7e3a3991063' 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>55.043476</dd></dl></div><div class='xr-var-data'><pre>array([[14.000173 , 13.904666 , 13.919236 , ..., 10.160515 , 10.504923 ,
            10.474701 ],
           [14.000173 , 14.025707 , 13.7480545, ..., 10.       , 10.       ,
            10.       ],
           [14.000173 , 13.983706 , 13.844166 , ..., 12.503464 , 12.210309 ,
            12.725355 ],
           ...,
           [       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-6889088d-e4e7-43d9-b1f5-be7bcde0f986' class='xr-section-summary-in' type='checkbox'  ><label for='section-6889088d-e4e7-43d9-b1f5-be7bcde0f986' 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-0d4d7535-eb09-40b2-8453-821873ebdefe' class='xr-index-data-in' type='checkbox'/><label for='index-0d4d7535-eb09-40b2-8453-821873ebdefe' 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-9592c879-ab1c-458e-ae65-b0d79c571d4a' class='xr-index-data-in' type='checkbox'/><label for='index-9592c879-ab1c-458e-ae65-b0d79c571d4a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2026-03-03 14:16:01.501271&#x27;, &#x27;2026-03-03 14:46:01.501271&#x27;,
                   &#x27;2026-03-03 15:16:01.501271&#x27;, &#x27;2026-03-03 15:46:01.501271&#x27;,
                   &#x27;2026-03-03 16:16:01.501271&#x27;, &#x27;2026-03-03 16:46:01.501271&#x27;,
                   &#x27;2026-03-03 17:16:01.501271&#x27;, &#x27;2026-03-03 17:46:01.501271&#x27;,
                   &#x27;2026-03-03 18:16:01.501271&#x27;, &#x27;2026-03-03 18:46:01.501271&#x27;,
                   &#x27;2026-03-03 19:16:01.501271&#x27;, &#x27;2026-03-03 19:46:01.501271&#x27;,
                   &#x27;2026-03-03 20:16:01.501271&#x27;, &#x27;2026-03-03 20:46:01.501271&#x27;,
                   &#x27;2026-03-03 21:16:01.501271&#x27;, &#x27;2026-03-03 21:46:01.501271&#x27;,
                   &#x27;2026-03-03 22:16:01.501271&#x27;, &#x27;2026-03-03 22:46:01.501271&#x27;,
                   &#x27;2026-03-03 23:16:01.501271&#x27;, &#x27;2026-03-03 23:46:01.501271&#x27;,
                   &#x27;2026-03-04 00:16:01.501271&#x27;, &#x27;2026-03-04 00:46:01.501271&#x27;,
                   &#x27;2026-03-04 01:16:01.501271&#x27;, &#x27;2026-03-04 01:46:01.501271&#x27;,
                   &#x27;2026-03-04 02:16:01.501271&#x27;, &#x27;2026-03-04 02:46:01.501271&#x27;,
                   &#x27;2026-03-04 03:16:01.501271&#x27;, &#x27;2026-03-04 03:46:01.501271&#x27;,
                   &#x27;2026-03-04 04:16:01.501271&#x27;, &#x27;2026-03-04 04:46:01.501271&#x27;,
                   &#x27;2026-03-04 05:16:01.501271&#x27;, &#x27;2026-03-04 05:46:01.501271&#x27;,
                   &#x27;2026-03-04 06:16:01.501271&#x27;, &#x27;2026-03-04 06:46:01.501271&#x27;,
                   &#x27;2026-03-04 07:16:01.501271&#x27;, &#x27;2026-03-04 07:46:01.501271&#x27;,
                   &#x27;2026-03-04 08:16:01.501271&#x27;, &#x27;2026-03-04 08:46:01.501271&#x27;,
                   &#x27;2026-03-04 09:16:01.501271&#x27;, &#x27;2026-03-04 09:46:01.501271&#x27;,
                   &#x27;2026-03-04 10:16:01.501271&#x27;, &#x27;2026-03-04 10:46:01.501271&#x27;,
                   &#x27;2026-03-04 11:16:01.501271&#x27;, &#x27;2026-03-04 11:46:01.501271&#x27;,
                   &#x27;2026-03-04 12:16:01.501271&#x27;, &#x27;2026-03-04 12:46:01.501271&#x27;,
                   &#x27;2026-03-04 13:16:01.501271&#x27;, &#x27;2026-03-04 13:46:01.501271&#x27;,
                   &#x27;2026-03-04 14:16:01.501271&#x27;, &#x27;2026-03-04 14:46:01.501271&#x27;,
                   &#x27;2026-03-04 15:16:01.501271&#x27;, &#x27;2026-03-04 15:46:01.501271&#x27;,
                   &#x27;2026-03-04 16:16:01.501271&#x27;, &#x27;2026-03-04 16:46:01.501271&#x27;,
                   &#x27;2026-03-04 17:16:01.501271&#x27;, &#x27;2026-03-04 17:46:01.501271&#x27;,
                   &#x27;2026-03-04 18:16:01.501271&#x27;, &#x27;2026-03-04 18:46:01.501271&#x27;,
                   &#x27;2026-03-04 19:16:01.501271&#x27;, &#x27;2026-03-04 19:46:01.501271&#x27;,
                   &#x27;2026-03-04 20:16:01.501271&#x27;, &#x27;2026-03-04 20:46:01.501271&#x27;,
                   &#x27;2026-03-04 21:16:01.501271&#x27;, &#x27;2026-03-04 21:46:01.501271&#x27;,
                   &#x27;2026-03-04 22:16:01.501271&#x27;, &#x27;2026-03-04 22:46:01.501271&#x27;,
                   &#x27;2026-03-04 23:16:01.501271&#x27;, &#x27;2026-03-04 23:46:01.501271&#x27;,
                   &#x27;2026-03-05 00:16:01.501271&#x27;, &#x27;2026-03-05 00:46:01.501271&#x27;,
                   &#x27;2026-03-05 01:16:01.501271&#x27;, &#x27;2026-03-05 01:46:01.501271&#x27;,
                   &#x27;2026-03-05 02:16:01.501271&#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-15426c2a-3a63-47f2-9441-2921cccd4958' class='xr-section-summary-in' type='checkbox'  ><label for='section-15426c2a-3a63-47f2-9441-2921cccd4958' 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 2026-03-03 14:16:05.436851</dd><dt><span>date_created :</span></dt><dd>2026-03-03T14:16:05.436868</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>2026-03-03 14:16:01.501271</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>1.14.8</dd><dt><span>seed_geojson :</span></dt><dd>{&quot;features&quot;: [], &quot;type&quot;: &quot;FeatureCollection&quot;}</dd><dt><span>simulation_time :</span></dt><dd>2026-03-03 14:16:05.445548</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>2026-03-05 02:16:01.501271</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
     0:00:04.8  total
     0:00:00.0  preparing
     0:00:04.8  reading
     0:00:00.0  masking
    --------------------
    https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be
     0:01:10.4  total
     0:00:00.0  preparing
     0:01:07.7  reading
     0:00:07.5  interpolation
     0:00:00.2  interpolation_time
     0:00:02.7  rotating vectors
     0:00:00.0  masking
    --------------------
    Performance:
     1:51.3 total time
        3.9 configuration
        0.0 preparing main loop
          0.0 moving elements to ocean
     1:47.1 main loop
          4.2 updating elements
            3.2 vertical mixing
        0.2 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>59.052647</dd><dt><span>geospatial_lat_max :</span></dt><dd>59.18872</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>10.876535</dd><dt><span>geospatial_lon_max :</span></dt><dd>11.186546</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>0:01:51.397276</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

    14:18:12 INFO    opendrift:4705: Saving animation to /root/project/docs/source/gallery/animations/example_sediments_0.gif...
    14:19:22 INFO    opendrift:3128: Time to make animation: 0:01:24.209122




.. 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 26.536 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>`_