Flash floods can strike without warning, this new technology could change that
On the morning of June 9th, Laura Lin was working from her home in Lanesville, a rural southern Indiana town about 15 miles from the Kentucky border. She was on a Zoom call, unaware that the heavy rain outside was beginning to flood her yard. "I look over to where the barn is over there, and I see pieces of my wood floating, and I was like, 'What?' And I immediately was like, 'I have to go.' Close my laptop, and I get my kids up, and I'm like, 'Something's wrong,'" Lin recalls
New software called the Transient Artifact and Continuous Learning System combines satellite data with machine learning to help meteorologists predict flash floods sooner than current methods allow. Floods are the second-deadliest type of weather event in the United States and the deadliest globally, with even small amounts of fast-moving water capable of knocking people down or moving vehicles. Currently, weather forecast offices issue flood alerts based on rain and stream gauges, satellite and radar tracking, and predetermined rainfall thresholds for specific areas, but warnings often come too late for residents to safely evacuate. The new technology aims to give the National Weather Service more time to issue alerts so people can reach safety before flooding occurs in their communities.
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