Global Big Data Conference

Deep learning models have proved to be very effective for analyzing large amounts of data and accurately predicting future events. This makes them advantageous for a wide range of applications, including weather forecasting. While meteorologists can now predict general weather trends for the next two to three days fairly well, climate change has led to a rise in unexpected extreme weather events, including thunderstorms, hailstorms, and hurricanes. Accurately predicting these sudden meteorological events a few hours in advance could help to prepare for them, potentially limiting their impact and adverse consequences. Researchers at IRT AESE Saint Exupéry and Météo-France have recently developed three deep neural networks to predict impending precipitations.