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BNF Radar Examples

This is a place to collaborate on data related to the Atmospheric Radiation Measurement user facility Advanced Mobile Facility (3) deployment to the Bankhead National Forest (BNF) site in the Southeastern United States.

Motivation

This repository is for collaborating on workflows and visualizations related to the ARM AMF deployment to the BNF site. We use a variety of datasets (mostly radar) to investigate different events, and provide open workflows for others to use.

Authors

Max Grover

Contributors

Structure

Site Exploration

Initial data exploration, looking at sample cases and associated datasets such as the University of Alabama Huntsville operated ARMOR radar.

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:

  1. Clone the https://github.com/ARM-Development/amf3-radar-examples repository:

     git clone https://github.com/ARM-Development/amf3-radar-examples.git

  2. Move into the cookbook-example directory

    cd amf3-radar-examples

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

    conda env create -f environment.yml
conda activate amf3-radar-examples-dev

  4. Move into the notebooks directory and start up Jupyterlab

    cd notebooks/
jupyter lab