New TACLS System Uses GNSS and Machine Learning to Predict Flash Floods
TACLS, developed by UCSD, NWS, and NASA, uses GNSS satellite data and machine learning to identify flash flood risk zones and help NWS issue faster warnings. It currently operates only in California and will later expand to all 122 NWS offices.
- TACLS combines GNSS satellite data and machine learning for flood forecasting
- Currently operational only in California, later to cover all 122 NWS offices
- Project by UCSD, NWS, and NASA with funding from NASA Earth Science
- Floods are the second deadliest weather event in the US and first worldwide
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