Work in Progress
Author: Joseph Cheatham Last Update: 5/16/2026 Version: 0.1.0
An open source tornado path detection tool for first responders, built on NOAA NEXRAD Doppler radar data. Tornado Tracer is being developed to ingest real-time and historical Level II radar scans, detect tornadic rotation signatures algorithmically, and provide actionable path prediction output for emergency response use.
KSGF radar radial velocity field showing the Joplin EF5 mesocyclone rotation signature, May 22 2011 22:53 UTC. The tight red/blue couplet near 94.4°W, 37.05°N indicates strong counter-clockwise rotation — the tornadic vortex actively moving through the city
pip install -r requirements.txtpython3 joplin_2011.pyDownloads and plots radial velocity scans from the May 22, 2011 Joplin tornado event. Output PNGs are saved to the plots/ directory.
- Download NEXRAD Level II scans from NOAA's public AWS S3 archive
- Ingest and parse radar sweeps using Py-ART
- Plot georeferenced radial velocity fields with county/state overlays
- Test case May 2011 Joplin, MO EF 5 tornado
- Implement Tornadic Vortex Signature (TVS) based detection algorithm
- Use TVS algorithm at each scan to predict path the tornado took
- User interface for first responder deployment
NEXRAD Level II data is publicly available via NOAA's AWS archive — no API key required.
s3://noaa-nexrad-level2/YYYY/MM/DD/{SITE}/{filename}