KITP Program: Machine Learning and the Physics of Climate

KITP Program: Machine Learning and the Physics of Climate
(Nov 1 - Dec 17, 2021)
Coordinators: Annalisa Bracco, Henk A. Dijkstra, Claire Monteleoni, and Laure Zanna

Speakers: Please contact us about file upload for your slides.

Time	Speaker	Title
11/1-4	Conference:	Machine Learning for Climate
11/08, 9:00am	Dmitri Kondrashov UCLA	Data-driven stochastic climate modeling and prediction[Slides]
11/10, 9:00am	Deborah Khider USC	The challenges of using paleoclimate data for decadal prediction[Slides][Video][CC]
11/15, 9:30am	Brian White UNC	Deep learning applications for climate and weather modeling: toward improvements in speed, resolution and scenario generation[Embargoed]
11/17, 9:30am	Andreas Gerhardus DLR	Learning cause-and-effect relationships from time series data[Video]
11/22, 9:30am	Bia Villas Boas Colorado School of Mines/Caltech	From noise to signal: what surface waves can teach us about currents[Video]
11/24, 9:00am	Raffaele Ferrari MIT	New approaches to calibration of parameterizations of boundary layer turbulence[Video]
11/29, 9:30am	Freddy Bouchet ENS Lyon	Predicting extreme heat waves using rare event simulations and deep neural networks[Video]
12/01, 9:30am	Markus Abel Ambrosys GmbH	Symbolic regression and mathematical postprocessing for machine learning of (climate) dynamics[Video]
12/01, 2:00pm	Martin Schultz Julich Centre	Deep Learning for Air Quality and Weather Forecasting[Slides][Video]
12/06, 9:30am	Julien Brajard NERSC	Bridging observations and numerical modeling using machine learning[Video]
12/06, 11:30am	Erik Mulder Univ. of Gronigen	Symbiotic ocean modeling using physics-controlled Echo State Networks[Embargoed]
12/08, 9:30am	Alex Robel Georgia Tech	Statistical learning of climate for large ensemble ice sheet simulations[Slides][Video]
12/13, 9:30am	Annalisa Bracco Georgia Tech	Informal Talk: Lion fish, corals, connectivity, SSTs and d-MAPS[Video]
12/13, 11:30am	Christian Lessig Univ. Magdeburg	A Deep Neural Network Multigrid Solver[Slides][Video]
12/13, 2:00pm	Henk Dijkstra Utrecht Univ.	Machine Learning and the Physics of Climate[Video] KITP Blackboard Lunch
12/15, 9:30am	Yan Liu University of Southern California	Differential Graph Neural Networks for Physics-Informed AI Models[Video]
12/15, 2:00pm	Frank Kwasniok Exeter	Data-driven deterministic and stochastic subgrid-scale parametrization in atmosphere and ocean models: a pattern-based approach[Embargoed]