AI for Atmospheric Systems
Status: This talk is in preparation - details may change
Developing an interpretable foundation AI model capable of generating and analyzing cloud structures and their behavior in novel aerosol-cloud interactions and climate feedback scenarios. Leveraging recent breakthroughs in conditional generative AI, such as those used for biological structure prediction and video generation, the model will integrate multi-modal, high-resolution satellite data. The resulting model will generate and reconstruct cloud structures under varying environmental conditions, significantly reducing uncertainties in climate prediction and facilitating the detection and quantification of cloud feedbacks across the satellite record.
Date: 13 November 2025, 17:30
Venue: Wolfson College, Linton Road OX2 6UD
Speaker: Dr Tim Reichelt (ENCODE)
Organising department: Wolfson College
Organiser: Dr. Yi Yin (Wolfson College, University of Oxford)
Part of: Oxford Cross-Disciplinary Machine Learning (OxfordXML) Research Cluster Seminar Series
Booking required?: Not required
Audience: Members of the University only
Editor: Yi Yin