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

.. only:: html

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

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

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

.. _sphx_glr_generated_gallery_oceanography_plot_orca_projection.py:


Tri-Polar Grid Projected Plotting
=================================

This example demonstrates cell plots of data on the semi-structured ORCA2 model
grid.

First, the data is projected into the PlateCarree coordinate reference system.

Second four pcolormesh plots are created from this projected dataset,
using different projections for the output image.

.. GENERATED FROM PYTHON SOURCE LINES 14-60



.. rst-class:: sphx-glr-horizontal


    *

      .. image-sg:: /generated/gallery/oceanography/images/sphx_glr_plot_orca_projection_001.png
         :alt: ORCA2 Data Projected to Mollweide, Sea water potential temperature
         :srcset: /generated/gallery/oceanography/images/sphx_glr_plot_orca_projection_001.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /generated/gallery/oceanography/images/sphx_glr_plot_orca_projection_002.png
         :alt: ORCA2 Data Projected to NorthPolarStereo, Sea water potential temperature
         :srcset: /generated/gallery/oceanography/images/sphx_glr_plot_orca_projection_002.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /generated/gallery/oceanography/images/sphx_glr_plot_orca_projection_003.png
         :alt: ORCA2 Data Projected to Orthographic, Sea water potential temperature
         :srcset: /generated/gallery/oceanography/images/sphx_glr_plot_orca_projection_003.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /generated/gallery/oceanography/images/sphx_glr_plot_orca_projection_004.png
         :alt: ORCA2 Data Projected to PlateCarree, Sea water potential temperature
         :srcset: /generated/gallery/oceanography/images/sphx_glr_plot_orca_projection_004.png
         :class: sphx-glr-multi-img





.. code-block:: Python


    import cartopy.crs as ccrs
    import matplotlib.pyplot as plt

    import iris
    import iris.analysis.cartography
    import iris.plot as iplt
    import iris.quickplot as qplt


    def main():
        # Load data
        filepath = iris.sample_data_path("orca2_votemper.nc")
        cube = iris.load_cube(filepath)

        # Choose plot projections
        projections = {}
        projections["Mollweide"] = ccrs.Mollweide()
        projections["PlateCarree"] = ccrs.PlateCarree()
        projections["NorthPolarStereo"] = ccrs.NorthPolarStereo()
        projections["Orthographic"] = ccrs.Orthographic(
            central_longitude=-90, central_latitude=45
        )

        pcarree = projections["PlateCarree"]
        # Transform cube to target projection
        new_cube, extent = iris.analysis.cartography.project(cube, pcarree, nx=400, ny=200)

        # Plot data in each projection
        for name in sorted(projections):
            fig = plt.figure()
            fig.suptitle("ORCA2 Data Projected to {}".format(name))
            # Set up axes and title
            ax = plt.subplot(projection=projections[name])
            # Set limits
            ax.set_global()
            # plot with Iris quickplot pcolormesh
            qplt.pcolormesh(new_cube)
            # Draw coastlines
            ax.coastlines()

            iplt.show()


    if __name__ == "__main__":
        main()


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

   **Total running time of the script:** (0 minutes 1.189 seconds)


.. _sphx_glr_download_generated_gallery_oceanography_plot_orca_projection.py:

.. only:: html

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

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

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

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

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


.. only:: html

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

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