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

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

.. _sphx_glr_gallery_example_fjord.py:


Fjord
=====

.. GENERATED FROM PYTHON SOURCE LINES 6-15

.. code-block:: Python


    from datetime import timedelta
    from opendrift import test_data_folder as tdf
    from opendrift.readers import reader_global_landmask
    from opendrift.readers import reader_netCDF_CF_generic
    from opendrift.models.leeway import Leeway

    o = Leeway(loglevel=20)  # Set loglevel to 0 for debug information





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

 .. code-block:: none

    13:51:59 INFO    opendrift:576: OpenDriftSimulation initialised (version 1.14.7 / v1.14.7-15-g2988cd4)




.. GENERATED FROM PYTHON SOURCE LINES 16-17

Add readers for wind and current

.. GENERATED FROM PYTHON SOURCE LINES 17-23

.. code-block:: Python

    reader_arome = reader_netCDF_CF_generic.Reader(tdf +
        '16Nov2015_NorKyst_z_surface/arome_subset_16Nov2015.nc')
    reader_norkyst = reader_netCDF_CF_generic.Reader(tdf +
        '16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc')
    o.add_reader([reader_norkyst, reader_arome])





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

 .. code-block:: none

    13:51:59 INFO    opendrift.readers:63: Opening file with xr.open_dataset
    13:52:00 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'time': 'time', 'x': 'x', 'y': 'y'}
    13:52:00 INFO    opendrift.readers:63: Opening file with xr.open_dataset
    13:52:00 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'x': 'X', 'y': 'Y', 'z': 'depth', 'time': 'time'}




.. GENERATED FROM PYTHON SOURCE LINES 24-25

Seed elements

.. GENERATED FROM PYTHON SOURCE LINES 25-29

.. code-block:: Python

    time = reader_arome.start_time
    object_type = 1  # 1: Person-in-water (PIW), unknown state (mean values)
    o.seed_elements(lon=6.55, lat=61.117594, radius=50, number=5000, time=time, object_type=object_type)





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

 .. code-block:: none

    13:52:00 INFO    opendrift.models.leeway:321: Seeding elements of object type 1: PIW-1 (Person-in-water (PIW), unknown state (mean values))
    13:52:00 INFO    opendrift.models.basemodel.environment:203: Adding a global landmask from GSHHG
    13:52:04 INFO    opendrift.models.basemodel.environment:227: Fallback values will be used for the following variables which have no readers: 
    13:52:04 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_stokes_drift_x_velocity: 0.000000
    13:52:04 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_stokes_drift_y_velocity: 0.000000




.. GENERATED FROM PYTHON SOURCE LINES 30-31

Running model for 12 hours, using small time step due to high resolution coastline

.. GENERATED FROM PYTHON SOURCE LINES 31-33

.. code-block:: Python

    o.run(duration=timedelta(hours=12), time_step=300, time_step_output=3600)





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

 .. code-block:: none

    13:52:04 INFO    opendrift:1803: Skipping environment variable sea_surface_wave_stokes_drift_x_velocity because of condition ['drift:stokes_drift', 'is', False]
    13:52:04 INFO    opendrift:1803: Skipping environment variable sea_surface_wave_stokes_drift_y_velocity because of condition ['drift:stokes_drift', 'is', False]
    13:52:04 INFO    opendrift:1814: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
    13:52:04 INFO    opendrift:1814: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
    13:52:04 INFO    opendrift:952: Using existing reader for land_binary_mask to move elements to ocean
    13:52:04 INFO    opendrift:982: All points are in ocean
    13:52:04 INFO    opendrift:2111: 2015-11-16 00:00:00 - step 1 of 144 - 5000 active elements (0 deactivated)
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    </style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 6MB
    Dimensions:               (trajectory: 5000, time: 13)
    Coordinates:
      * trajectory            (trajectory) int64 40kB 0 1 2 3 ... 4997 4998 4999
      * time                  (time) datetime64[ns] 104B 2015-11-16 ... 2015-11-1...
    Data variables: (12/23)
        status                (trajectory, time) float32 260kB 0.0 0.0 ... 0.0 0.0
        moving                (trajectory, time) float32 260kB 1.0 1.0 ... 1.0 1.0
        age_seconds           (trajectory, time) float32 260kB 0.0 ... 4.32e+04
        origin_marker         (trajectory, time) float32 260kB 0.0 0.0 ... 0.0 0.0
        lon                   (trajectory, time) float32 260kB 6.55 6.549 ... 6.325
        lat                   (trajectory, time) float32 260kB 61.12 61.12 ... 61.09
        ...                    ...
        current_drift_factor  (trajectory, time) float32 260kB 1.0 1.0 ... 1.0 1.0
        x_wind                (trajectory, time) float32 260kB -4.579 ... -11.41
        y_wind                (trajectory, time) float32 260kB -2.255 ... -3.389
        x_sea_water_velocity  (trajectory, time) float32 260kB 0.2016 ... -0.3024
        y_sea_water_velocity  (trajectory, time) float32 260kB 0.1273 ... 0.1734
        land_binary_mask      (trajectory, time) float32 260kB 0.0 0.0 ... 0.0 0.0
    Attributes: (12/89)
        Conventions:                                                           CF...
        standard_name_vocabulary:                                              CF...
        featureType:                                                           tr...
        title:                                                                 Op...
        summary:                                                               Ou...
        keywords:                                                              tr...
        ...                                                                    ...
        geospatial_lon_units:                                                  de...
        geospatial_lon_resolution:                                             point
        runtime:                                                               0:...
        geospatial_vertical_min:                                               0.0
        geospatial_vertical_max:                                               0.0
        geospatial_vertical_positive:                                          up</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-d242ffcb-9a28-4d01-886d-37a1803163a8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d242ffcb-9a28-4d01-886d-37a1803163a8' 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>: 5000</li><li><span class='xr-has-index'>time</span>: 13</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d9507299-5e21-4053-aa4e-e402c2a28d48' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d9507299-5e21-4053-aa4e-e402c2a28d48' 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 ... 4996 4997 4998 4999</div><input id='attrs-a6591b78-963c-4b3d-82f4-0f5b49be13cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6591b78-963c-4b3d-82f4-0f5b49be13cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59329b9c-7373-4cde-b446-270f8835d56e' class='xr-var-data-in' type='checkbox'><label for='data-59329b9c-7373-4cde-b446-270f8835d56e' 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, ..., 4997, 4998, 4999], shape=(5000,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2015-11-16 ... 2015-11-16T12:00:00</div><input id='attrs-5b14d8fe-a40c-4f30-a6e9-4fc22f4f7986' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b14d8fe-a40c-4f30-a6e9-4fc22f4f7986' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f71f27de-0f08-4e80-a1c4-6b90b4692808' class='xr-var-data-in' type='checkbox'><label for='data-f71f27de-0f08-4e80-a1c4-6b90b4692808' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float64&#x27;&gt;</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2015-11-16T00:00:00.000000000&#x27;, &#x27;2015-11-16T01:00:00.000000000&#x27;,
           &#x27;2015-11-16T02:00:00.000000000&#x27;, &#x27;2015-11-16T03:00:00.000000000&#x27;,
           &#x27;2015-11-16T04:00:00.000000000&#x27;, &#x27;2015-11-16T05:00:00.000000000&#x27;,
           &#x27;2015-11-16T06:00:00.000000000&#x27;, &#x27;2015-11-16T07:00:00.000000000&#x27;,
           &#x27;2015-11-16T08:00:00.000000000&#x27;, &#x27;2015-11-16T09:00:00.000000000&#x27;,
           &#x27;2015-11-16T10:00:00.000000000&#x27;, &#x27;2015-11-16T11:00:00.000000000&#x27;,
           &#x27;2015-11-16T12:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-130f1e53-9d3b-4b5b-88bd-c9f148db6c26' class='xr-section-summary-in' type='checkbox'  ><label for='section-130f1e53-9d3b-4b5b-88bd-c9f148db6c26' class='xr-section-summary' >Data variables: <span>(23)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>status</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-96e0705e-f541-4eb9-a41d-30844ae1443d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-96e0705e-f541-4eb9-a41d-30844ae1443d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a462086-0c1d-4a4e-8dc7-f89da971fca4' class='xr-var-data-in' type='checkbox'><label for='data-5a462086-0c1d-4a4e-8dc7-f89da971fca4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.int32&#x27;&gt;</dd><dt><span>valid_range :</span></dt><dd>[0 1]</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>active stranded</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  1.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  1., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.]],
          shape=(5000, 13), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>moving</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.0 1.0 1.0 1.0 ... 1.0 1.0 1.0 1.0</div><input id='attrs-af2cf8ad-c5dd-4bdd-bce3-abbb1ab44b41' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af2cf8ad-c5dd-4bdd-bce3-abbb1ab44b41' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f26913f9-2500-4bb6-8982-ccfdf7e794b1' class='xr-var-data-in' type='checkbox'><label for='data-f26913f9-2500-4bb6-8982-ccfdf7e794b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.int32&#x27;&gt;</dd><dt><span>minval :</span></dt><dd>0</dd><dt><span>maxval :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.,  1.,  1., ..., nan, nan, nan],
           [ 1.,  1.,  1., ...,  1.,  1.,  0.],
           [ 1.,  1.,  1., ..., nan, nan, nan],
           ...,
           [ 1.,  1.,  1., ..., nan, nan, nan],
           [ 1.,  1.,  1., ...,  1.,  0., nan],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.]],
          shape=(5000, 13), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>age_seconds</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 3.6e+03 ... 3.96e+04 4.32e+04</div><input id='attrs-4b138177-9145-4b83-9021-fd761e32acb2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b138177-9145-4b83-9021-fd761e32acb2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eedc455f-6cc1-4f6f-afb2-4d4682f5156c' class='xr-var-data-in' type='checkbox'><label for='data-eedc455f-6cc1-4f6f-afb2-4d4682f5156c' 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>43200.0</dd></dl></div><div class='xr-var-data'><pre>array([[    0.,  3600.,  7200., ...,    nan,    nan,    nan],
           [    0.,  3600.,  7200., ..., 36000., 39600., 42000.],
           [    0.,  3600.,  7200., ...,    nan,    nan,    nan],
           ...,
           [    0.,  3600.,  7200., ...,    nan,    nan,    nan],
           [    0.,  3600.,  7200., ..., 36000., 38400.,    nan],
           [    0.,  3600.,  7200., ..., 36000., 39600., 43200.]],
          shape=(5000, 13), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>origin_marker</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-a3494c15-de09-428b-b681-6426b521876c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a3494c15-de09-428b-b681-6426b521876c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-161d21ab-c372-4d55-8888-1aeea8ac5852' class='xr-var-data-in' type='checkbox'><label for='data-161d21ab-c372-4d55-8888-1aeea8ac5852' 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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  0., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.]],
          shape=(5000, 13), 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'>6.55 6.549 6.539 ... 6.356 6.325</div><input id='attrs-c5943417-c0b6-4649-b7d1-f553715090d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c5943417-c0b6-4649-b7d1-f553715090d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2d9b84f-db6a-41a0-9ca7-2b9c880d4342' class='xr-var-data-in' type='checkbox'><label for='data-e2d9b84f-db6a-41a0-9ca7-2b9c880d4342' 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>5.815277</dd><dt><span>maxval :</span></dt><dd>6.597492</dd></dl></div><div class='xr-var-data'><pre>array([[6.5504675, 6.549111 , 6.5386243, ...,       nan,       nan,
                  nan],
           [6.549419 , 6.550969 , 6.53742  , ..., 6.1706853, 6.105833 ,
            6.0677166],
           [6.549974 , 6.5518546, 6.54389  , ...,       nan,       nan,
                  nan],
           ...,
           [6.549061 , 6.547153 , 6.5254707, ...,       nan,       nan,
                  nan],
           [6.552106 , 6.5573688, 6.552206 , ..., 6.3457994, 6.3268223,
                  nan],
           [6.5498157, 6.556272 , 6.55137  , ..., 6.3879457, 6.3560114,
            6.324538 ]], shape=(5000, 13), 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'>61.12 61.12 61.11 ... 61.09 61.09</div><input id='attrs-ebeaef5d-7cc2-460d-b50f-4f0c5560baf0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ebeaef5d-7cc2-460d-b50f-4f0c5560baf0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1578f55-8772-45b3-b16e-804c723f943f' class='xr-var-data-in' type='checkbox'><label for='data-e1578f55-8772-45b3-b16e-804c723f943f' 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>61.067173</dd><dt><span>maxval :</span></dt><dd>61.167183</dd></dl></div><div class='xr-var-data'><pre>array([[61.11805 , 61.115505, 61.10842 , ...,       nan,       nan,
                  nan],
           [61.117336, 61.11975 , 61.114624, ..., 61.136517, 61.146626,
            61.14615 ],
           [61.11751 , 61.11683 , 61.11089 , ...,       nan,       nan,
                  nan],
           ...,
           [61.118107, 61.1216  , 61.11603 , ...,       nan,       nan,
                  nan],
           [61.118076, 61.11921 , 61.115166, ..., 61.078026, 61.08018 ,
                  nan],
           [61.11746 , 61.119972, 61.11621 , ..., 61.08029 , 61.085243,
            61.091255]], shape=(5000, 13), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-8521378e-9652-4d6d-9443-c249714d170f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8521378e-9652-4d6d-9443-c249714d170f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de0a1ac1-8152-4430-9b50-eb4cd1895f73' class='xr-var-data-in' type='checkbox'><label for='data-de0a1ac1-8152-4430-9b50-eb4cd1895f73' 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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  0., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.]],
          shape=(5000, 13), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>object_type</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.0 1.0 1.0 1.0 ... 1.0 1.0 1.0 1.0</div><input id='attrs-b47a3773-a6e9-423e-afd7-362035132977' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b47a3773-a6e9-423e-afd7-362035132977' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f41fb6f3-2c7d-4a1e-ae78-36f8f4ba6851' class='xr-var-data-in' type='checkbox'><label for='data-f41fb6f3-2c7d-4a1e-ae78-36f8f4ba6851' 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.uint16&#x27;&gt;</dd><dt><span>units :</span></dt><dd>1</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., ..., nan, nan, nan],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ..., nan, nan, nan],
           ...,
           [ 1.,  1.,  1., ..., nan, nan, nan],
           [ 1.,  1.,  1., ...,  1.,  1., nan],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.]],
          shape=(5000, 13), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientation</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 1.0 1.0 1.0 1.0</div><input id='attrs-405f8cd9-5918-419b-b4ae-baa987abb223' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-405f8cd9-5918-419b-b4ae-baa987abb223' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e2eebba-c763-4178-b780-4a7d7b770711' class='xr-var-data-in' type='checkbox'><label for='data-6e2eebba-c763-4178-b780-4a7d7b770711' 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>description :</span></dt><dd>0/1 is left/right of downwind. Randomly chosen at seed time</dd><dt><span>minval :</span></dt><dd>0</dd><dt><span>maxval :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ..., nan, nan, nan],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 1.,  1.,  1., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  0., nan],
           [ 1.,  1.,  0., ...,  1.,  1.,  1.]],
          shape=(5000, 13), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>jibe_probability</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.04 0.04 0.04 ... 0.04 0.04 0.04</div><input id='attrs-dbb6839c-eb07-4904-8384-3764cf0843de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dbb6839c-eb07-4904-8384-3764cf0843de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19fc54d3-39a3-41d9-8db0-36891934dd47' class='xr-var-data-in' type='checkbox'><label for='data-19fc54d3-39a3-41d9-8db0-36891934dd47' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>1/h</dd><dt><span>description :</span></dt><dd>Probability per hour that an object may change orientation (jibing)</dd><dt><span>minval :</span></dt><dd>0.04</dd><dt><span>maxval :</span></dt><dd>0.04</dd></dl></div><div class='xr-var-data'><pre>array([[0.04, 0.04, 0.04, ...,  nan,  nan,  nan],
           [0.04, 0.04, 0.04, ..., 0.04, 0.04, 0.04],
           [0.04, 0.04, 0.04, ...,  nan,  nan,  nan],
           ...,
           [0.04, 0.04, 0.04, ...,  nan,  nan,  nan],
           [0.04, 0.04, 0.04, ..., 0.04, 0.04,  nan],
           [0.04, 0.04, 0.04, ..., 0.04, 0.04, 0.04]],
          shape=(5000, 13), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>capsized</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-2a01bdd2-8137-445a-bbc9-bc41a8416996' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a01bdd2-8137-445a-bbc9-bc41a8416996' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-679ab074-652d-4339-a608-433388f60b6b' class='xr-var-data-in' type='checkbox'><label for='data-679ab074-652d-4339-a608-433388f60b6b' 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>description :</span></dt><dd>0 is not capsized, changed to 1 after capsizing (irreversible). After capsizing, leeway coeffieiencts are reduced as given by config item capsized:leeway_fraction</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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  0., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.]],
          shape=(5000, 13), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>downwind_slope</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.96 0.96 0.96 ... 0.96 0.96 0.96</div><input id='attrs-cf9efd24-7524-4f8e-97f8-96af62a08d8c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf9efd24-7524-4f8e-97f8-96af62a08d8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-871a311b-2c36-446e-adee-80f272ab7cbc' class='xr-var-data-in' type='checkbox'><label for='data-871a311b-2c36-446e-adee-80f272ab7cbc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>minval :</span></dt><dd>0.96</dd><dt><span>maxval :</span></dt><dd>0.96</dd></dl></div><div class='xr-var-data'><pre>array([[0.96, 0.96, 0.96, ...,  nan,  nan,  nan],
           [0.96, 0.96, 0.96, ..., 0.96, 0.96, 0.96],
           [0.96, 0.96, 0.96, ...,  nan,  nan,  nan],
           ...,
           [0.96, 0.96, 0.96, ...,  nan,  nan,  nan],
           [0.96, 0.96, 0.96, ..., 0.96, 0.96,  nan],
           [0.96, 0.96, 0.96, ..., 0.96, 0.96, 0.96]],
          shape=(5000, 13), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crosswind_slope</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.54 0.54 0.54 ... -0.54 -0.54</div><input id='attrs-51336bb5-2f3a-415d-9093-ac2ce1818ef7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51336bb5-2f3a-415d-9093-ac2ce1818ef7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9583628b-046f-4d1c-949b-2e71c0e5fac7' class='xr-var-data-in' type='checkbox'><label for='data-9583628b-046f-4d1c-949b-2e71c0e5fac7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>dtype :</span></dt><dd>&lt;class &#x27;numpy.float32&#x27;&gt;</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>minval :</span></dt><dd>-0.54</dd><dt><span>maxval :</span></dt><dd>0.54</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.54,  0.54,  0.54, ...,   nan,   nan,   nan],
           [-0.54, -0.54, -0.54, ..., -0.54, -0.54, -0.54],
           [ 0.54,  0.54,  0.54, ...,   nan,   nan,   nan],
           ...,
           [-0.54, -0.54, -0.54, ...,   nan,   nan,   nan],
           [ 0.54,  0.54,  0.54, ...,  0.54,  0.54,   nan],
           [-0.54, -0.54,  0.54, ..., -0.54, -0.54, -0.54]],
          shape=(5000, 13), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>downwind_offset</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-e812fbb8-4e10-4fe6-88cf-d7cb23674c12' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e812fbb8-4e10-4fe6-88cf-d7cb23674c12' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddf12b90-c583-4fc3-beb1-938afa65ad54' class='xr-var-data-in' type='checkbox'><label for='data-ddf12b90-c583-4fc3-beb1-938afa65ad54' 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>cm/s</dd><dt><span>minval :</span></dt><dd>0.0</dd><dt><span>maxval :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  0., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.]],
          shape=(5000, 13), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crosswind_offset</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-9b2ce854-fe5c-4b5a-94ce-71cac2e243fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b2ce854-fe5c-4b5a-94ce-71cac2e243fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-100a1753-c6b4-4026-acbd-bad176a22c80' class='xr-var-data-in' type='checkbox'><label for='data-100a1753-c6b4-4026-acbd-bad176a22c80' 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>cm/s</dd><dt><span>minval :</span></dt><dd>0.0</dd><dt><span>maxval :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  0., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.]],
          shape=(5000, 13), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>downwind_eps</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>21.17 21.17 21.17 ... -3.881 -3.881</div><input id='attrs-7786ffbc-b5ca-4ee9-a971-26fbcf893a9e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7786ffbc-b5ca-4ee9-a971-26fbcf893a9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2b67591-4a19-405f-8408-71589f364bef' class='xr-var-data-in' type='checkbox'><label for='data-e2b67591-4a19-405f-8408-71589f364bef' 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>cm/s</dd><dt><span>minval :</span></dt><dd>-19.194134</dd><dt><span>maxval :</span></dt><dd>45.619923</dd></dl></div><div class='xr-var-data'><pre>array([[21.168629 , 21.168629 , 21.168629 , ...,        nan,        nan,
                   nan],
           [ 4.8018866,  4.8018866,  4.8018866, ...,  4.8018866,  4.8018866,
             4.8018866],
           [11.744856 , 11.744856 , 11.744856 , ...,        nan,        nan,
                   nan],
           ...,
           [ 5.5480957,  5.5480957,  5.5480957, ...,        nan,        nan,
                   nan],
           [ 1.5582527,  1.5582527,  1.5582527, ...,  1.5582527,  1.5582527,
                   nan],
           [-3.8805673, -3.8805673, -3.8805673, ..., -3.8805673, -3.8805673,
            -3.8805673]], shape=(5000, 13), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crosswind_eps</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.4974 -0.4974 ... -1.684 -1.684</div><input id='attrs-049e90fb-98c8-4490-8496-c925b969c7d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-049e90fb-98c8-4490-8496-c925b969c7d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed521161-d0da-4ecf-adcb-8809cfaeef95' class='xr-var-data-in' type='checkbox'><label for='data-ed521161-d0da-4ecf-adcb-8809cfaeef95' 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>cm/s</dd><dt><span>minval :</span></dt><dd>-29.386293</dd><dt><span>maxval :</span></dt><dd>30.951326</dd></dl></div><div class='xr-var-data'><pre>array([[ -0.49739662,  -0.49739662,  -0.49739662, ...,          nan,
                     nan,          nan],
           [ -5.4836106 ,  -5.4836106 ,  -5.4836106 , ...,  -5.4836106 ,
             -5.4836106 ,  -5.4836106 ],
           [ -3.348712  ,  -3.348712  ,  -3.348712  , ...,          nan,
                     nan,          nan],
           ...,
           [-12.274682  , -12.274682  , -12.274682  , ...,          nan,
                     nan,          nan],
           [ -6.6403794 ,  -6.6403794 ,  -6.6403794 , ...,  -6.6403794 ,
             -6.6403794 ,          nan],
           [ -1.6843666 ,  -1.6843666 ,  -1.6843666 , ...,  -1.6843666 ,
             -1.6843666 ,  -1.6843666 ]], shape=(5000, 13), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>current_drift_factor</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.0 1.0 1.0 1.0 ... 1.0 1.0 1.0 1.0</div><input id='attrs-f6034a03-212b-4ecb-93e1-2227ad842f2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6034a03-212b-4ecb-93e1-2227ad842f2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e589bef-a773-4103-a11c-385c146500ec' class='xr-var-data-in' type='checkbox'><label for='data-3e589bef-a773-4103-a11c-385c146500ec' 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., ..., nan, nan, nan],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ..., nan, nan, nan],
           ...,
           [ 1.,  1.,  1., ..., nan, nan, nan],
           [ 1.,  1.,  1., ...,  1.,  1., nan],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.]],
          shape=(5000, 13), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x_wind</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-4.579 -4.233 ... -10.97 -11.41</div><input id='attrs-97b626ca-94fc-4962-af7e-ef0d721979f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97b626ca-94fc-4962-af7e-ef0d721979f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e26f221-796c-4acb-8374-17ac26a469bd' class='xr-var-data-in' type='checkbox'><label for='data-4e26f221-796c-4acb-8374-17ac26a469bd' 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>-19.924046</dd><dt><span>maxval :</span></dt><dd>0.99743176</dd></dl></div><div class='xr-var-data'><pre>array([[ -4.578784 ,  -4.2331743,  -2.9770007, ...,         nan,
                    nan,         nan],
           [ -4.4579573,  -5.0708246,  -4.2537227, ..., -16.68042  ,
            -14.436137 , -13.362433 ],
           [ -4.4833565,  -4.4628134,  -3.3413057, ...,         nan,
                    nan,         nan],
           ...,
           [ -4.6086583,  -4.8422627,  -4.700517 , ...,         nan,
                    nan,         nan],
           [ -4.561414 ,  -4.9084463,  -4.097376 , ..., -10.353207 ,
            -10.535994 ,         nan],
           [ -4.4754586,  -5.0748672,  -4.3537426, ...,  -9.993105 ,
            -10.97294  , -11.407165 ]], shape=(5000, 13), 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'>-2.255 -3.908 ... -4.487 -3.389</div><input id='attrs-88960f22-c613-4eee-bd6b-c4e658960bea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88960f22-c613-4eee-bd6b-c4e658960bea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf17b7a8-24d5-4504-8d5c-4e54926f5b2d' class='xr-var-data-in' type='checkbox'><label for='data-cf17b7a8-24d5-4504-8d5c-4e54926f5b2d' 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>-11.135896</dd><dt><span>maxval :</span></dt><dd>2.8019693</dd></dl></div><div class='xr-var-data'><pre>array([[-2.2554243 , -3.908098  , -2.1807878 , ...,         nan,
                    nan,         nan],
           [-2.2252295 , -4.877529  , -3.9607975 , ..., -0.19452201,
            -2.6550245 , -1.1919305 ],
           [-2.2093244 , -4.039304  , -2.4357474 , ...,         nan,
                    nan,         nan],
           ...,
           [-2.3788693 , -5.3209066 , -5.500447  , ...,         nan,
                    nan,         nan],
           [-2.1273673 , -4.1400766 , -2.7746038 , ..., -3.8006887 ,
            -3.5789773 ,         nan],
           [-2.2133646 , -4.4415    , -3.0846694 , ..., -4.0052495 ,
            -4.487425  , -3.3890533 ]], shape=(5000, 13), 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'>0.2016 0.07437 ... -0.4402 -0.3024</div><input id='attrs-2579d6cc-9a8c-452c-ab58-b5f006e15927' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2579d6cc-9a8c-452c-ab58-b5f006e15927' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10c1b9eb-c4cc-4665-a99c-538a09571fb9' class='xr-var-data-in' type='checkbox'><label for='data-10c1b9eb-c4cc-4665-a99c-538a09571fb9' 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>-1.1555066</dd><dt><span>maxval :</span></dt><dd>0.20655037</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.2016413 ,  0.07437186, -0.0938893 , ...,         nan,
                    nan,         nan],
           [ 0.19843063,  0.07269538, -0.2443818 , ..., -0.83698374,
            -0.6571505 , -0.8703992 ],
           [ 0.19952954,  0.07920196, -0.11176198, ...,         nan,
                    nan,         nan],
           ...,
           [ 0.20010862,  0.047608  , -0.3197676 , ...,         nan,
                    nan,         nan],
           [ 0.20398831,  0.07893433, -0.11316467, ..., -0.37015063,
            -0.17896152,         nan],
           [ 0.19920006,  0.06129721, -0.14214249, ..., -0.32121956,
            -0.44016677, -0.3024366 ]], shape=(5000, 13), 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'>0.1273 -0.004758 ... 0.09873 0.1734</div><input id='attrs-793d271c-1d6b-4b3e-90ae-02901de722b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-793d271c-1d6b-4b3e-90ae-02901de722b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a00a2a9-2517-4b07-92f3-1495f206e99e' class='xr-var-data-in' type='checkbox'><label for='data-2a00a2a9-2517-4b07-92f3-1495f206e99e' 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>-0.37959373</dd><dt><span>maxval :</span></dt><dd>0.5025773</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.12734297, -0.00475833, -0.07939768, ...,         nan,
                    nan,         nan],
           [ 0.12474818, -0.00300201, -0.3400757 , ...,  0.3942697 ,
             0.0173843 , -0.0012358 ],
           [ 0.12478171, -0.01097625, -0.15712652, ...,         nan,
                    nan,         nan],
           ...,
           [ 0.13019638, -0.00341915, -0.31978405, ...,         nan,
                    nan,         nan],
           [ 0.12510164, -0.03362731, -0.18441139, ...,  0.08660229,
             0.15730794,         nan],
           [ 0.12474002, -0.04169097, -0.21471389, ...,  0.0926571 ,
             0.09872583,  0.17343421]], shape=(5000, 13), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>land_binary_mask</span></div><div class='xr-var-dims'>(trajectory, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-a4233661-faf6-447b-8a5d-efb0ea194366' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4233661-faf6-447b-8a5d-efb0ea194366' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d60df52-c4c4-42c9-9992-df73b8542aa1' class='xr-var-data-in' type='checkbox'><label for='data-6d60df52-c4c4-42c9-9992-df73b8542aa1' 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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ...,  0.,  0., nan],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.]],
          shape=(5000, 13), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-085c75ed-95fc-403c-93ea-52584ad5f3cc' class='xr-section-summary-in' type='checkbox'  ><label for='section-085c75ed-95fc-403c-93ea-52584ad5f3cc' 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-74c5610d-c6ed-4aad-9eaa-cb86040a1e5e' class='xr-index-data-in' type='checkbox'/><label for='index-74c5610d-c6ed-4aad-9eaa-cb86040a1e5e' 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,
           ...
           4990, 4991, 4992, 4993, 4994, 4995, 4996, 4997, 4998, 4999],
          dtype=&#x27;int64&#x27;, name=&#x27;trajectory&#x27;, length=5000))</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-b6877706-5bbe-462c-bb5d-8609b8dce05f' class='xr-index-data-in' type='checkbox'/><label for='index-b6877706-5bbe-462c-bb5d-8609b8dce05f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2015-11-16 00:00:00&#x27;, &#x27;2015-11-16 01:00:00&#x27;,
                   &#x27;2015-11-16 02:00:00&#x27;, &#x27;2015-11-16 03:00:00&#x27;,
                   &#x27;2015-11-16 04:00:00&#x27;, &#x27;2015-11-16 05:00:00&#x27;,
                   &#x27;2015-11-16 06:00:00&#x27;, &#x27;2015-11-16 07:00:00&#x27;,
                   &#x27;2015-11-16 08:00:00&#x27;, &#x27;2015-11-16 09:00:00&#x27;,
                   &#x27;2015-11-16 10:00:00&#x27;, &#x27;2015-11-16 11:00:00&#x27;,
                   &#x27;2015-11-16 12:00:00&#x27;],
                  dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=&#x27;h&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4ecaa515-f087-4636-8851-d289efa8b013' class='xr-section-summary-in' type='checkbox'  ><label for='section-4ecaa515-f087-4636-8851-d289efa8b013' class='xr-section-summary' >Attributes: <span>(89)</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 2025-12-16 13:52:04.529718</dd><dt><span>date_created :</span></dt><dd>2025-12-16T13:52:04.529730</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>Leeway</dd><dt><span>opendrift_module :</span></dt><dd>opendrift.models.leeway</dd><dt><span>readers :</span></dt><dd>odict_keys([&#x27;/root/project/tests/test_data/16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc&#x27;, &#x27;/root/project/tests/test_data/16Nov2015_NorKyst_z_surface/arome_subset_16Nov2015.nc&#x27;, &#x27;global_landmask&#x27;])</dd><dt><span>time_coverage_start :</span></dt><dd>2015-11-16 00:00:00</dd><dt><span>time_step_calculation :</span></dt><dd>0:05:00</dd><dt><span>time_step_output :</span></dt><dd>1:00:00</dd><dt><span>config_environment:constant:x_wind :</span></dt><dd>None</dd><dt><span>config_environment:fallback:x_wind :</span></dt><dd>None</dd><dt><span>config_environment:constant:y_wind :</span></dt><dd>None</dd><dt><span>config_environment:fallback:y_wind :</span></dt><dd>None</dd><dt><span>config_environment:constant:x_sea_water_velocity :</span></dt><dd>None</dd><dt><span>config_environment:fallback:x_sea_water_velocity :</span></dt><dd>None</dd><dt><span>config_environment:constant:y_sea_water_velocity :</span></dt><dd>None</dd><dt><span>config_environment:fallback:y_sea_water_velocity :</span></dt><dd>None</dd><dt><span>config_environment:constant: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:land_binary_mask :</span></dt><dd>None</dd><dt><span>config_environment:fallback:land_binary_mask :</span></dt><dd>None</dd><dt><span>config_general:use_auto_landmask :</span></dt><dd>True</dd><dt><span>config_drift:current_uncertainty :</span></dt><dd>0</dd><dt><span>config_drift:current_uncertainty_uniform :</span></dt><dd>0</dd><dt><span>config_drift:max_speed :</span></dt><dd>5.0</dd><dt><span>config_readers:max_number_of_fails :</span></dt><dd>1</dd><dt><span>config_general:simulation_name :</span></dt><dd></dd><dt><span>config_general:coastline_action :</span></dt><dd>stranding</dd><dt><span>config_general:coastline_approximation_precision :</span></dt><dd>0.001</dd><dt><span>config_general:time_step_minutes :</span></dt><dd>10.0</dd><dt><span>config_general:time_step_output_minutes :</span></dt><dd>60.0</dd><dt><span>config_seed:ocean_only :</span></dt><dd>True</dd><dt><span>config_seed:number :</span></dt><dd>1</dd><dt><span>config_drift:max_age_seconds :</span></dt><dd>None</dd><dt><span>config_drift:advection_scheme :</span></dt><dd>euler</dd><dt><span>config_drift:horizontal_diffusivity :</span></dt><dd>0</dd><dt><span>config_drift:profiles_depth :</span></dt><dd>50</dd><dt><span>config_drift:wind_uncertainty :</span></dt><dd>0</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:jibe_probability :</span></dt><dd>0.04</dd><dt><span>config_seed:capsized :</span></dt><dd>0</dd><dt><span>config_seed:current_drift_factor :</span></dt><dd>1</dd><dt><span>config_seed:object_type :</span></dt><dd>Person-in-water (PIW), unknown state (mean values)</dd><dt><span>config_processes:capsizing :</span></dt><dd>False</dd><dt><span>config_capsizing:leeway_fraction :</span></dt><dd>0.4</dd><dt><span>config_capsizing:wind_threshold :</span></dt><dd>30</dd><dt><span>config_capsizing:wind_threshold_sigma :</span></dt><dd>5</dd><dt><span>config_drift:stokes_drift :</span></dt><dd>False</dd><dt><span>opendrift_version :</span></dt><dd>1.14.7</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>2025-12-16 13:52:04.536947</dd><dt><span>reader_x_wind :</span></dt><dd>[&#x27;/root/project/tests/test_data/16Nov2015_NorKyst_z_surface/arome_subset_16Nov2015.nc&#x27;]</dd><dt><span>reader_y_wind :</span></dt><dd>[&#x27;/root/project/tests/test_data/16Nov2015_NorKyst_z_surface/arome_subset_16Nov2015.nc&#x27;]</dd><dt><span>reader_x_sea_water_velocity :</span></dt><dd>[&#x27;/root/project/tests/test_data/16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc&#x27;]</dd><dt><span>reader_y_sea_water_velocity :</span></dt><dd>[&#x27;/root/project/tests/test_data/16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc&#x27;]</dd><dt><span>reader_land_binary_mask :</span></dt><dd>[&#x27;global_landmask&#x27;]</dd><dt><span>time_coverage_end :</span></dt><dd>2015-11-16 12:00:00</dd><dt><span>time_coverage_duration :</span></dt><dd>P0DT12H0M0S</dd><dt><span>time_coverage_resolution :</span></dt><dd>P0DT0H5M0S</dd><dt><span>performance :</span></dt><dd>--------------------
    Reader performance:
    --------------------
    /root/project/tests/test_data/16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc
     0:00:00.8  total
     0:00:00.0  preparing
     0:00:00.2  reading
     0:00:00.1  interpolation
     0:00:00.0  interpolation_time
     0:00:00.5  rotating vectors
     0:00:00.0  masking
    --------------------
    /root/project/tests/test_data/16Nov2015_NorKyst_z_surface/arome_subset_16Nov2015.nc
     0:00:00.8  total
     0:00:00.0  preparing
     0:00:00.2  reading
     0:00:00.1  interpolation
     0:00:00.0  interpolation_time
     0:00:00.5  rotating vectors
     0:00:00.0  masking
    --------------------
    global_landmask
     0:00:01.7  total
     0:00:00.0  preparing
     0:00:01.7  reading
     0:00:00.0  masking
    --------------------
    Performance:
       13.7 total time
        4.7 configuration
        0.0 preparing main loop
          0.0 moving elements to ocean
        8.9 main loop
          0.5 updating elements
        0.0 cleaning up
    --------------------
    </dd><dt><span>geospatial_bounds_crs :</span></dt><dd>EPSG:4326</dd><dt><span>geospatial_bounds_vertical_crs :</span></dt><dd>EPSG:5831</dd><dt><span>geospatial_lat_min :</span></dt><dd>61.067173</dd><dt><span>geospatial_lat_max :</span></dt><dd>61.167183</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>5.815277</dd><dt><span>geospatial_lon_max :</span></dt><dd>6.597492</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>point</dd><dt><span>runtime :</span></dt><dd>0:00:13.710800</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 34-35

Print and plot results

.. GENERATED FROM PYTHON SOURCE LINES 35-38

.. code-block:: Python

    print(o)
    o.animation()





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

 .. code-block:: none

    ===========================
    --------------------
    Reader performance:
    --------------------
    /root/project/tests/test_data/16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc
     0:00:00.8  total
     0:00:00.0  preparing
     0:00:00.2  reading
     0:00:00.1  interpolation
     0:00:00.0  interpolation_time
     0:00:00.5  rotating vectors
     0:00:00.0  masking
    --------------------
    /root/project/tests/test_data/16Nov2015_NorKyst_z_surface/arome_subset_16Nov2015.nc
     0:00:00.8  total
     0:00:00.0  preparing
     0:00:00.2  reading
     0:00:00.1  interpolation
     0:00:00.0  interpolation_time
     0:00:00.5  rotating vectors
     0:00:00.0  masking
    --------------------
    global_landmask
     0:00:01.7  total
     0:00:00.0  preparing
     0:00:01.7  reading
     0:00:00.0  masking
    --------------------
    Performance:
       13.7 total time
        4.7 configuration
        0.0 preparing main loop
          0.0 moving elements to ocean
        8.9 main loop
          0.5 updating elements
        0.0 cleaning up
    --------------------
    ===========================
    Model:  Leeway     (OpenDrift version 1.14.7)
            1101 active LeewayObj particles  (3899 deactivated, 0 scheduled)
    -------------------
    Environment variables:
      -----
      x_sea_water_velocity
      y_sea_water_velocity
         1) /root/project/tests/test_data/16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc
      -----
      x_wind
      y_wind
         1) /root/project/tests/test_data/16Nov2015_NorKyst_z_surface/arome_subset_16Nov2015.nc
      -----
      land_binary_mask
         1) global_landmask

    Discarded readers:

    Time:
            Start: 2015-11-16 00:00:00 UTC
            Present: 2015-11-16 12:00:00 UTC
            Calculation steps: 144 * 0:05:00 - total time: 12:00:00
            Output steps: 13 * 1:00:00
    ===========================

    13:52:22 INFO    opendrift:4660: Saving animation to /root/project/docs/source/gallery/animations/example_fjord_0.gif...
    13:52:29 INFO    opendrift:3094: Time to make animation: 0:00:16.395500




.. GENERATED FROM PYTHON SOURCE LINES 39-40

.. image:: /gallery/animations/example_fjord_0.gif

.. GENERATED FROM PYTHON SOURCE LINES 40-42

.. code-block:: Python


    o.plot()



.. image-sg:: /gallery/images/sphx_glr_example_fjord_001.png
   :alt: OpenDrift - Leeway (PIW-1) 2015-11-16 00:00 to 2015-11-16 12:00 UTC (13 steps)
   :srcset: /gallery/images/sphx_glr_example_fjord_001.png
   :class: sphx-glr-single-img


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

 .. code-block:: none


    (<GeoAxes: title={'center': 'OpenDrift - Leeway (PIW-1)\n2015-11-16 00:00 to 2015-11-16 12:00 UTC (13 steps)'}>, <Figure size 1100x608.982 with 1 Axes>)




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

   **Total running time of the script:** (0 minutes 44.395 seconds)


.. _sphx_glr_download_gallery_example_fjord.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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