.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/getdata/get_3_tropomicoards.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_auto_examples_getdata_get_3_tropomicoards.py>`
        to download the full example code

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

.. _sphx_glr_auto_examples_getdata_get_3_tropomicoards.py:


Get COARDS formatted NetCDF TropOMI NO2
=======================================

Shows how to get TropOMI as an xarray Dataset. This example downloads a NetCDF
file with COARDS compliant metadata, which is opened and returned.

.. GENERATED FROM PYTHON SOURCE LINES 8-44

.. code-block:: default


    # sphinx_gallery_thumbnail_path = '_static/tropomicoards.png'

    import pyrsig

    rsigapi = pyrsig.RsigApi(bdate='2022-03-01', overwrite=True)
    ds = rsigapi.to_netcdf('tropomi.offl.no2.nitrogendioxide_tropospheric_column')
    print(ds.data_vars)
    # Data variables:
    #     longitude                            (points) float32 ...
    #     latitude                             (points) float32 ...
    #     nitrogendioxide_tropospheric_column  (points) float32 ...
    #     Longitude_SW                         (points) float32 ...
    #     Longitude_SE                         (points) float32 ...
    #     Longitude_NW                         (points) float32 ...
    #     Longitude_NE                         (points) float32 ...
    #     Latitude_SW                          (points) float32 ...
    #     Latitude_SE                          (points) float32 ...
    #     Latitude_NW                          (points) float32 ...
    #     Latitude_NE                          (points) float32 ...
    #     yyyyddd                              (points) int32 ...
    #     hhmmss                               (points) int32 ...
    #     time                                 (points) datetime64[ns] ...
    rsigapi = pyrsig.RsigApi(bdate='2022-03-02', overwrite=True)
    ds = rsigapi.to_netcdf(
        'tropomi.offl.no2.nitrogendioxide_tropospheric_column', grid=True
    )
    print(ds.data_vars)
    # Data variables:
    #     column     (points) int32 ...
    #     row        (points) int32 ...
    #     count      (points) int32 ...
    #     longitude  (points) float32 ...
    #     latitude   (points) float32 ...
    #     no2        (points) float32 ...
    #     time       (points) datetime64[ns] ...


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

   **Total running time of the script:** ( 0 minutes  0.000 seconds)


.. _sphx_glr_download_auto_examples_getdata_get_3_tropomicoards.py:

.. only:: html

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




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

      :download:`Download Python source code: get_3_tropomicoards.py <get_3_tropomicoards.py>`

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

      :download:`Download Jupyter notebook: get_3_tropomicoards.ipynb <get_3_tropomicoards.ipynb>`


.. only:: html

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

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