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Tornado Tracer

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.


Output Example

Joplin Tornado Velocity - 22:38 UTC 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


Setup

pip install -r requirements.txt

Usage

python3 joplin_2011.py

Downloads and plots radial velocity scans from the May 22, 2011 Joplin tornado event. Output PNGs are saved to the plots/ directory.


Current Progress

  • 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

Future Work

  • 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

Data Source

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}

About

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.

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