Machine learning helps predict flash floods sooner
new software called tacls uses satellites and machine learning to spot areas that could flood sooner, helping the national weather service make better decisions when it comes to issuing flash flood alerts. this could save lives.
a new software called the transient artifact and continuous learning system (tacls) uses satellite data and machine learning to predict flash floods. it helps meteorologists spot areas that could flood sooner and issue warnings. flash floods are the second-deadliest type of weather event in the united states and the deadliest globally. tacls has the potential to save lives by providing quicker warnings. the national weather service (nws) is working with the developers of tacls to improve flash flood alerts.