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

The article discusses the development of a new software called the Transient Artifact and Continuous Learning System (TACLS), designed to improve flash flood prediction and warning times. Developed by scientists from UC San Diego, NASA, and the National Weather Service (NWS), TACLS uses the Global Navigation Satellite System (GNSS) to measure atmospheric moisture in real time. This data is then analyzed by a machine learning model to help forecasters determine if conditions are right for a flash flood, potentially providing earlier warnings than current methods. Currently being tested in California, TACLS is expected to be rolled out to all NWS offices nationwide. The technology is not meant to replace human forecasters but to assist their decision-making process, aiming to give people more time to evacuate before deadly flash floods occur.

(Source：The Verge)