This Project Pythia Cookbook covers working with radar data in Python, including examples from NEXRAD and the Doppler of Wheels from the SUNY Oswego SOURCE project.
This cookbook will serve as a basis for an introduction to the open-radar science software stack, mainly Py-ART and xradar. Users are encouraged to join the Open Radar Discourse group for further interaction with the open-radar community. The majority of the material is repurposed from the Project Pythia Radar Cookbook and includes further details.
Joe O'Brien Max Grover, Kai Mühlbauer, Alfonso Ladino, Scott Collis, Zach Sherman, Bobby Jackson, Joe O'Brien
This cookbook will be broken into three sections which include radar basics, radar software foundations, and an example from LEE for group exercise.
Radar basics will include a presentation on radar data formats and background information on the open radar software stack.
Example notebooks on the basics of Py-ART
Students will work through an example notebook utilizing data obtained from SOURCE.
You can either run the notebook using Binder or on your local machine.
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.
If you are interested in running this material locally on your computer, you will need to follow this workflow:
-
Clone the
https://github.com/jrobrien91/suny-oswego-workshop-2024/
repository:git clone https://github.com/jrobrien91/suny-oswego-workshop-2024.git
-
Move into the
suny-oswego-workshop-2024
directorycd suny-oswego-workshop-2024
-
Create and activate your conda environment from the
environment.yml
fileconda env create -f environment.yml conda activate oswego-radar
-
Move into the
notebooks
directory and start up Jupyterlabcd notebooks/ jupyter lab