AI Breakthrough Brings Faster, Localized Thunderstorm Forecasts
In a major leap for weather forecasting, researchers have successfully trained artificial intelligence to predict localized thunderstorms with remarkable speed and accuracy marking a turning point for emergency preparedness and public safety.
Traditionally, AI has been used to generate global-scale weather forecasts, but its effectiveness at smaller scales like predicting individual thunderstorms was limited due to a lack of high-resolution data. That changed when scientists Flora and Potvin trained Google’s powerful neural network, GraphCast, on data from the National Oceanic and Atmospheric Administration’s (NOAA) Warn-on-Forecast System.
The result is WoFSCast an AI model capable of accurately simulating key storm dynamics such as updrafts and cold air pockets. These features play...
