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UID:780fc7f5-27b8-4a84-92f9-0477dc6612c2@nexttoyou
DTSTAMP:20261106T174829Z
DTSTART:20261109T170000Z
DTEND:20261109T180000Z
SUMMARY:AI-Driven Second Revolution in Weather Forecasting: Monsoons\, Gra
 y Swans\, and Butterflies
LOCATION:Hayden Hall Schiller Institute Convening Space (RM 501)\, 245 Bea
 con Street
DESCRIPTION:As part of our Schiller Catalyst Seminar Series\, Pedram Hassa
 nzadeh will give the presentation: "AI-driven Second Revolution in Weathe
 r Forecasting: Monsoons\, Gray Swans\, and Butterflies."\n\nArtificial in
 telligence (AI) is driving a second revolution in weather forecasting. AI
  weather models now match or beat the best physics-based models for short
 - and medium-range forecasts\, at a tiny fraction of the computing cost. 
 There is growing interest in operationalizing these models\, including ex
 panding access to actionable\, high-quality forecasts in regions that hav
 e long been underserved. To increase trust in these systems\, there is al
 so interest in understanding why they work so well and when and how they 
 fail. In this talk\, Dr. Pedram Hassanzadeh will present his team's work 
 on forecasting the onset of the Indian monsoon\, a complex and consequent
 ial weather event for millions of farmers. He will describe the developme
 nt of a decision-oriented benchmarking and real-time probabilistic foreca
 sting system. In 2025\, as part of a Government of India project\, these 
 AI-based forecasts of the monsoon onset were sent to 38 million farmers\,
  providing a timely warning of an upcoming dry spell. In 2026\, this work
  was extended to forecasting the rainy season of Ethiopia\, bringing new 
 challenges and opportunities. Finally\, Dr. Hassanzadeh will discuss two 
 failure modes of AI weather models: their inability to forecast unprecede
 nted weather extremes (the so-called "gray swans") and the missing "\n\nh
 ttp://next-to-u.app/events/780fc7f5-27b8-4a84-92f9-0477dc6612c2
URL:http://next-to-u.app/events/780fc7f5-27b8-4a84-92f9-0477dc6612c2
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