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
Timestamps:
00:00 Introduction
00:38 Hurricane Melissa
11:50 Why weather forecasting is hard
14:13 Traditional models vs AI models
21:55 Probabilistic forecasting
26:00 WeatherNext 3
33:00 Future outlook
43:44 Hannah's reflections
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