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CATEGORIES:Seminar
DESCRIPTION:Bio:  Duncan Watson-Parris leads the Climate Analytics Lab (CAL
 ) at UC San Diego\, which investigates how aerosols interact with clouds an
 d how these processes are represented in global climate models. This work c
 ombines theory\, observations\, and machine learning to better constrain an
 d improve these models. CAL develops AI-based methods to integrate diverse 
 satellite and aircraft observations and reduce uncertainty in aerosol–cloud
  interactions. He also led the GAIA Initiative at UCSD\, and co-convened th
 e “AI and Climate Science” discovery series focused on advancing the use of
  artificial intelligence for Earth and ocean science more broadly. His rese
 arch is supported by an NSF CAREER award\, a Google Academic Research Award
 \, and DARPA.\n\n \n\nThis event is presented as part of the 2026 Perspecti
 ves on the Climate Change Challenge Seminar Series:\n\nMost Mondays\, Sprin
 g Semester 2026\, 2:55-4:10 p.m.155 Olin Hall & Zoom \n\nThis university-wi
 de seminar series is open to the public (via Zoom)\, and provides important
  views on the critical issue of climate change\, drawing from many perspect
 ives and disciplines. Experts from Cornell University and beyond present an
  overview of the science of climate change and climate change models\, the 
 implications for agriculture\, ecosystems\, and food systems\, and provide 
 important economic\, ethical\, and policy insights on the issue. The semina
 r is being organized and sponsored by the Department of Biological and Envi
 ronmental Engineering and Cornell Atkinson Center for Sustainability.
DTEND:20260427T201000Z
DTSTAMP:20260510T182515Z
DTSTART:20260427T185500Z
GEO:42.445568;-76.484665
LOCATION:Olin Hall\, 155
SEQUENCE:0
SUMMARY:Climate Seminar: Accelerating Climate Science With Machine Learning
 : Earth System Emulation (Duncan Watson-Parris)
UID:tag:localist.com\,2008:EventInstance_51763434111878
URL:https://events.cornell.edu/event/climate-seminar-duncan-watson-parris
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