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