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Flash floods can strike without warning — this new technology could change that

Original Source: The Verge AI
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Read time: 2 min read
•Published: September 18, 2026
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Source: The Verge AI

Executive Summary

The National Weather Service is utilizing a new software system called TACLS, which leverages satellite data and machine learning to predict flash floods. This technology aims to provide earlier warnings to communities at risk of extreme weather events.

Flash floods are the second-deadliest weather event in the U.S. and the deadliest globally. As climate change increases the frequency of extreme rainfall, the need for effective early warning systems has become critical. To combat this, a new software system called the Transient Artifact and Continuous Learning System (TACLS) has been developed. By utilizing satellite imagery and machine learning, TACLS identifies areas prone to flooding, enabling the National Weather Service (NWS) to issue more timely and accurate alerts. Experts at the NWS suggest that TACLS has the potential to save lives by providing earlier warnings than traditional methods, which have historically failed to alert communities before floodwaters become life-threatening. The system represents a significant step forward in disaster management and community safety.
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