NASA Uses Machine Learning to Enhance Flash Flood Warnings

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NASA describes TACLS, a machine learning system that helps meteorologists detect flash flood risk faster. The software analyzes GNSS satellite data, flags unusual atmospheric moisture patterns, and presents likely flood areas in a visualization tool for human review. NASA, UC San Diego, and NOAA’s National Weather Service collaborated on the system, and forecasters are already working to incorporate it into Southern California operations. The project is open source, which could let other researchers adapt the model or build similar tools from scratch.

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