Start date cannot be after end date.
Michael Fischer - Machine Learning Approach to Estimate 3-D Tropical Cyclone Kinematic Structure
Presenter
- Michael Fischer
February 4, 2026
IPAM
Eduardo Siman - Image-to-Image Tropical Cyclone Wind Field Diagnosis - IPAM at UCLA
Presenter
- Eduardo Siman
February 4, 2026
IPAM
Marcus van Lier Walqui - Clouds in weather and climate models: deterministic & stochastic approaches
Presenter
- Marcus van Lier-Walqui
February 3, 2026
IPAM
Damian Rouson - Cloud microphysics via progressive refinement mimicking maximal info entropy
Presenter
- Damian Rouson
February 3, 2026
IPAM
Dimitris Giannakis - Operator-theoretic approach, feature extraction & statistical model of climate
Presenter
- Dimitris Giannakis
February 3, 2026
IPAM
Adam Rupe - A complex systems perspective on machine learning for Earth science - IPAM at UCLA
Presenter
- Adam Rupe
February 3, 2026
IPAM
Katherine Breen - Foundation Models as New Backbone for Medium-range Forecasting & Data Assimilation
Presenter
- Katherine Breen
February 2, 2026
IPAM
Tom Beucler - Artificial Intelligence Pathways from Weather to Climate - IPAM at UCLA
Presenter
- Tom Beucler
February 2, 2026
IPAM
Michael Ghil - Global warming & global weirding: Nonautonomous dynamics for chaotic & noisy systems
Presenter
- Michael Ghil
February 2, 2026
IPAM
Johan Mathé - Earth System Symmetries: Geometry, Groups, & Limits of Structure in Machine Learning
Presenter
- Johan Mathé
February 2, 2026
IPAM
Noah Brenowitz - Does progress in Earth System Modeling require more data, more compute, or both?
Presenter
- Noah Brenowitz
February 2, 2026
IPAM
Discrepancy Theory is Mathematics, Computer Science, and Statistics
Presenter
- Daniel Spielman
January 28, 2026
IAS