At the beginning of June, the German Weather Service counted 177,000 lightning bolts in the night sky within a few days. The natural spectacle had consequences: Several people were injured by gusts of wind, hail and rain. Together with Germany's National Meteorological Service, the Deutscher Wetterdienst, computer science professor Jens Dittrich and his doctoral student Christian Schön from Saarland University are now working on a system that is supposed to predict local thunderstorms more precisely than before. It is based on satellite images and artificial intelligence. In order to investigate this approach in more detail, the researchers will receive 270,000 euros from the Federal Ministry of Transport.

One of the core tasks of weather services is to warn of dangerous weather conditions. These include thunderstorms in particular, as these are often accompanied by gusts of wind, hail and heavy rainfall. The Deutscher Wetterdienst (DWD) uses the "NowcastMIX" system for this purpose. Every five minutes it polls several remote sensing systems and observation networks to warn of thunderstorms, heavy rain and snowfall in the next two hours. "However, NowcastMIX can only detect the thunderstorm cells when heavy precipitation has already occurred. This is why satellite data are used to detect the formation of thunderstorm cells earlier and thus to warn of them earlier," explains Professor Jens Dittrich, who teaches computer science at Saarland University and heads the "Big Data Analytics" group.