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

.. only:: html

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

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

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

.. _sphx_glr_source_auto_examples_io_plot_surfrad.py:


Plot SurfRad Data
-----------------

This data shows how to read in SurfRad data from the urls and plot
the data up in a time series

Author: Adam Theisen

.. GENERATED FROM PYTHON SOURCE LINES 11-40



.. image-sg:: /source/auto_examples/io/images/sphx_glr_plot_surfrad_001.png
   :alt: SURFRAD Site: tbl downwelling_global on 20230108, SURFRAD Site: tbl total_net on 20230108
   :srcset: /source/auto_examples/io/images/sphx_glr_plot_surfrad_001.png
   :class: sphx-glr-single-img


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

 .. code-block:: none

    Downloading tbl23152.dat
    Downloading tbl23153.dat
    ['/home/runner/work/ACT/ACT/examples/io/Boulder_CO_surfrad/tbl23152.dat', '/home/runner/work/ACT/ACT/examples/io/Boulder_CO_surfrad/tbl23153.dat']
    /home/runner/work/ACT/ACT/examples/io/plot_surfrad.py:32: UserWarning: No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
      plt.legend()






|

.. code-block:: Python


    import act
    import matplotlib.pyplot as plt

    # Easily download data from SURFRAD
    results = act.discovery.download_surfrad_data('tbl', startdate='20230601', enddate='20230602')
    print(results)

    # But it's easy enough to read form the URLs as well
    url = [
        'https://gml.noaa.gov/aftp/data/radiation/surfrad/Boulder_CO/2023/tbl23008.dat',
        'https://gml.noaa.gov/aftp/data/radiation/surfrad/Boulder_CO/2023/tbl23009.dat',
    ]
    ds = act.io.read_surfrad(url)

    # Create an ACT TimeSeriesDisplay.
    display = act.plotting.TimeSeriesDisplay(ds, subplot_shape=(2,), figsize=(15, 10))

    # Plot different variables from the SURFRAD data
    display.plot('upwelling_global', subplot_index=(0,), label='Upwelling')
    display.plot('downwelling_global', subplot_index=(0,), label='Downwelling')
    plt.legend()

    display.plot('net_radiation', subplot_index=(1,), label='Net Radiation')
    display.plot('net_ir', subplot_index=(1,), label='Net IR')
    display.plot('total_net', subplot_index=(1,), label='Total Net')
    plt.legend()

    plt.show()


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

   **Total running time of the script:** (0 minutes 1.371 seconds)


.. _sphx_glr_download_source_auto_examples_io_plot_surfrad.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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