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

.. only:: html

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

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

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

.. _sphx_glr_examples_io_plot_older_nexrad_data_aws.py:


==================================================================
Reading Older NEXRAD Data and Fixing Latitude and Longitude Issues
==================================================================

In this example, we will show how to read in older NEXRAD files prior
to 2008 that are missing some coordinate metadata.

.. GENERATED FROM PYTHON SOURCE LINES 10-17

.. code-block:: Python


    print(__doc__)


    # Author: Zachary Sherman (zsherman@anl.gov)
    # License: BSD 3 clause








.. GENERATED FROM PYTHON SOURCE LINES 18-19

Import our required packages.

.. GENERATED FROM PYTHON SOURCE LINES 19-25

.. code-block:: Python


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

    import pyart








.. GENERATED FROM PYTHON SOURCE LINES 26-41

Read older NEXRAD Level 2 Data
------------------------------

Older NEXRAD files prior to 2008, have the tendency to not contain some of
the required metadata for Py-ART's NEXRAD reader. This usually results in
missing latitude and longitude data, so after reading with Py-ART, both
coordinates have a value of 0. This example, we will show how to properly
read in an older NEXRAD file.

First we want to get an older file from amazon web service:

   ``s3://noaa-nexrad-level2/year/month/date/radarsite/{radarsite}{year}{month}{date}_{hour}{minute}{second}.gz``

Where in our case, we are using a sample data file from Handford, CA (KHNX)
on July 24, 2006, at 0203:38 UTC. This means our path would look like this:

.. GENERATED FROM PYTHON SOURCE LINES 41-48

.. code-block:: Python


    # Note: Older files do not contain the 'V06' but instead '.gz' in the AWS path.

    aws_nexrad_level2_file = (
        "s3://noaa-nexrad-level2/2006/07/24/KHNX/KHNX20060724_020338.gz"
    )








.. GENERATED FROM PYTHON SOURCE LINES 49-50

We can use the **pyart.io.read_nexrad_archive** module to access our data, passing in the filepath.

.. GENERATED FROM PYTHON SOURCE LINES 50-53

.. code-block:: Python


    radar = pyart.io.read_nexrad_archive(aws_nexrad_level2_file)








.. GENERATED FROM PYTHON SOURCE LINES 54-55

Now let us take a look at the radar latitude and longitude data.

.. GENERATED FROM PYTHON SOURCE LINES 55-58

.. code-block:: Python

    print(radar.latitude["data"])
    print(radar.longitude["data"])





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

 .. code-block:: none

    [0.]
    [0.]




.. GENERATED FROM PYTHON SOURCE LINES 59-64

This is clearly not correct! The problem is the reader could not find the
metadata (message 31) for the coordinates.

Lucky for us, we can provide the station in Py-ART's NEXRAD reader, which will
pull the coordinate information from a dictionary found within Py-ART.

.. GENERATED FROM PYTHON SOURCE LINES 64-67

.. code-block:: Python


    radar = pyart.io.read_nexrad_archive(aws_nexrad_level2_file, station="KHNX")








.. GENERATED FROM PYTHON SOURCE LINES 68-69

Again, let us take a look at the radar latitude and longitude data.

.. GENERATED FROM PYTHON SOURCE LINES 69-72

.. code-block:: Python

    print(radar.latitude["data"])
    print(radar.longitude["data"])





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

 .. code-block:: none

    [36.31417]
    [-119.63111]




.. GENERATED FROM PYTHON SOURCE LINES 73-74

Everything now looks correct as this is in Handford CA!

.. GENERATED FROM PYTHON SOURCE LINES 74-88

.. code-block:: Python


    # We can create a plot as well utilizing Cartopy to see how it looks.
    display = pyart.graph.RadarMapDisplay(radar)

    # Setting projection and ploting the first tilt.
    projection = ccrs.LambertConformal(
        central_latitude=radar.latitude["data"][0],
        central_longitude=radar.longitude["data"][0],
    )

    fig = plt.figure(figsize=(6, 6))
    display.plot_ppi_map(
        "reflectivity", 0, vmin=-20, vmax=54, projection=projection, resolution="10m"
    )



.. image-sg:: /examples/io/images/sphx_glr_plot_older_nexrad_data_aws_001.png
   :alt: KHNX 0.4 Deg. 2006-07-24T02:03:37Z  Equivalent reflectivity factor
   :srcset: /examples/io/images/sphx_glr_plot_older_nexrad_data_aws_001.png
   :class: sphx-glr-single-img






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

   **Total running time of the script:** (0 minutes 8.972 seconds)


.. _sphx_glr_download_examples_io_plot_older_nexrad_data_aws.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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