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WRF-Python Post-processing
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To use WRF-Python for plotting WRF output, follow these instructions to use Jupyterhub, and play with the wrf-python scripts.

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#.   Copy this directory, containing notebooks, to your home directory

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     .. code-block::

             cp -r /glade/campaign/mmm/wmr/wrf_tutorial/wrftutorial_python .

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#.   Open a new browser window or tab and go to `NCAR CISL's Jupyterhub page <https://jupyterhub.hpc.ucar.edu/>`_

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#.   Click on "production"

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#.   Sign in with same credentials you use to sign onto Derecho. The DUO app will ping you again here

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#.   Click the small blue "start" button on the right

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#.   Click "launch server" when the next screen appears. It will take a minute or two for the server to start up.

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#.   Click on "NPL 2023b" to launch a python environment. *NPL* stands for *NCAR Package Library*. It has all the packages you will need for the provided notebooks.

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.. figure:: ./images/jupyter.png
   :align: center
   :width: 80%

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You should now be able to run a python notebook here. You will want to store your notebooks in your */glade/u/home/$USER/* directory for easy access from the right hand panel. You should be able to click on a notebook and it will open asking which kernel you want. Always chose "NPL 2023b".

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Return to the Practice Exercise home to page to run another exercise. 

.. rst-class:: horizbuttons-primary-m

* `Return to Practice Exercises <./practices.html>`_

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.. toctree::
   :maxdepth: 4
   :hidden:

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