How AI is transforming weather prediction
Senior Director of Research
This colloquium with Peter Battaglia explores the application of deep learning models, such as WeatherNext 3, to global weather forecasting. It contrasts traditional numerical physics models with AI-driven approaches, focusing on their efficacy in predicting chaotic atmospheric systems and enabling probabilistic forecasts.
Can artificial intelligence solve one of science’s most chaotic physics puzzles? In this episode, Professor Hannah Fry sits down with Peter Battaglia, Senior Director of Research at Google DeepMind, to explore how machine learning is transforming global weather forecasting. From providing critical early warnings for Category 5 storms like Hurricane Melissa to predicting renewable energy supply and agricultural impacts, learn how models like WeatherNext 3 are building upon decades of numerical physics to reshape our understanding of the atmosphere.
Learn more about WeatherNext 3, our most advanced global weather AI model yet: https://www.youtube.com/watch?v=_6jZlnRsXXQ