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Big BrainsAuthor: University of Chicago Podcast Network
Big Brains explores the groundbreaking research and discoveries that are changing our world. In each episode, we talk to leading experts and unpack their work in straightforward terms. Interesting conversations that cover a gamut of topics from how music affects our brains to what happens after we die. Language: en Contact email: Get it Feed URL: Get it iTunes ID: Get it |
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Could AI Models Forecast Extreme Weather Events? with Pedram Hassanzadeh
Episode 191
Thursday, 2 April, 2026
What if we could predict the world’s most dangerous weather events—not days, but weeks in advance? Extreme events like heat waves, hurricanes, and floods cause massive loss of life and billions in damage, but they’re also some of the hardest events for traditional weather forecasting to predict. In this episode, Assoc. Prof. Pedram Hassanzadeh of the University of Chicago explains why forecasting extreme weather has long pushed science to its limits—and how a new wave of AI models could transform the field at a time when climate change is making these events more common. By learning directly from decades of atmospheric data, these systems can generate forecasts faster, more cheaply, and in some cases more accurately than traditional models—even to predict freak ‘gray swan’ weather events no one has ever seen. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
