This is a place to collaborate on data related to the Tracking Aerosol Convection Interactions EXperiment (TRACER). The main data used is here is from the CSAPR2, as well as the local NEXRAD radar.
This repository is for collaborating on workflows and visualizations related to the TRACER related radars near Houston Texas. We use a variety of datasets (mostly radar) to investigate different events, and provide open workflows for others to use.
Max Grover Marcus van Lier-Walqui Eric Bruning Scott Collis
Initial data exploration, looking at sample cases and associated datasets such as the ARM CSAPR2 radar.
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/ARM-Development/tracer-radarrepository:git clone https://github.com/ARM-Development/tracer-radar.git
-
Move into the
tracer-radardirectorycd tracer-radar -
Create and activate your conda environment from the
environment.ymlfileconda env create -f environment.yml conda activate tracer-radar-dev
-
Move into the
notebooksdirectory and start up Jupyterlabcd notebooks/ jupyter lab