Developers introduce TACLS software combining satellite data and machine learning to predict flash floods
According to The Verge, researchers have introduced the TACLS software, which combines satellite data and machine learning to help predict flash floods sooner and support the National Weather Service in issuing alerts. The initiative follows a June 9 flood incident in Lanesville, Indiana where the town received over 8 inches of rain in a few hours, highlighting the need for faster warnings. TACLS aims to improve warning times across the 122 National Weather Service forecast offices.
Key facts
- 01TACLS uses satellites and machine learning to spot areas that could flood sooner and aid the NWS in issuing flash flood alerts.
- 02The June 9 incident in Lanesville, Indiana saw over 8 inches of rain in a few hours.
- 03There are 122 National Weather Service forecast offices involved in issuing alerts.
- 04Current warnings include watches that can be issued 12–48 hours in advance.
- 05TACLS is described as potentially saving lives by enabling earlier warnings.
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