AMS Open Radar Short Course 2023

Motivation

This content will be used for the Open Radar Short Course held at the AMS Radar Meeting. It will detail how to get started with the Open Radar stack, focusing on a few key scientific workflows.

Authors

Open Radar Community Members

Contributors

Structure

Foundational Tools

There are some foundational tools, such as xradar, wradlib, LROSE, and Py-ART!

Time	Content	Speaker/Chair	Duration
08:00 AM - 08:30 AM	Overview of the Open Radar Community + Tools	Max Grover	30 minutes
08:30 AM - 08:45 AM	Intro to xradar	Max Grover	15 minutes
08:45 AM - 09:30 AM	Hands on with Py-ART	Joe O'Brien	45 minutes
09:30 AM - 10:00 AM	Hands on with Pyrad	Jordi Figueras i Ventura and Daniel Wolfensberger	30 minutes
10:00 AM - 10:30 AM	Coffee Break		30 minutes
10:30 AM - 11:15 AM	Hands on with wradlib	Julian Giles	45 minutes
11:15 AM - 12:00 PM	Hands on with LROSE wind tools	Jen DeHart + Ting-Yu Cha	45 minutes
12:00 PM - 01:15 PM	LUNCH		1 hour 15 minutes

Analysis-Specific Tools

There are some analysis-specific tools, such as PyDDA, MetPy, and TOBAC!

Time	Content	Speaker/Chair	Duration
01:15 PM - 02:00 PM	Multi-Doppler Analysis with PyDDA	Bobby Jackson	45 minutes
02:00 PM - 02:45 PM	Tracking Cells with TOBAC	Sean Freeman + Kelcy Brunner	45 minutes
02:45 PM - 03:30 PM	Visualizing other Observations and Models with Radar using MetPy	Ryan May and Drew Camron	45 minutes
03:30 PM - 04:00 PM	Hands on with BALTRAD	Daniel Michelson	30 minutes

Running the Notebooks

You can either run the notebook using Binder or on your local machine.

Running on Binder

The simplest way to interact with a Jupyter Notebook is through Binder, which enables the execution of a Jupyter Book in the cloud. The details of how this works are not important for now. All you need to know is how to launch a Pythia Cookbooks chapter via Binder. Simply navigate your mouse to the top right corner of the book chapter you are viewing and click on the rocket ship icon, (see figure below), and be sure to select “launch Binder”. After a moment you should be presented with a notebook that you can interact with. I.e. you’ll be able to execute and even change the example programs. You’ll see that the code cells have no output at first, until you execute them by pressing {kbd}Shift+{kbd}Enter. Complete details on how to interact with a live Jupyter notebook are described in Getting Started with Jupyter.

Running on Your Own Machine

If you are interested in running this material locally on your computer, you will need to follow this workflow:

(Replace "cookbook-example" with the title of your cookbooks)

1. Clone the https://github.com/openradar/ams-open-radar-2023 repository:

    git clone https://github.com/openradar/ams-open-radar-2023.git

2. Move into the ams-open-radar-2023 directory

   cd ams-open-radar-2023

3. Create and activate your conda environment from the environment.yml file

   conda env create -f environment.yml
   conda activate ams-open-radar-2023-dev

4. Move into the notebooks directory and start up Jupyterlab

   cd notebooks/
   jupyter lab