Can AI help us better predict the weather?

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, see how models like GraphCast and 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://deepmind.google/science/weathernext/Timestamps: 00:00 Introduction00:38 Hurricane Melissa11:50 Why weather forecasting is hard14:13 Traditional models vs AI models 21:55 Probabilistic forecasting 26:00 WeatherNext 3 33:00 Future outlook 43:44 Hannah's reflections   Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.