LPS22 Programme

C1.06.1 Data assimilation and machine learning for the Earth system GO BACK

Chairs: Dr. Julien Brajard (NERSC), Dr, Fernando Iglesias-Suarez (DLR - Deutsches Zentrum für Luft- und Raumfahrt e.V.)

14:00 14:15	Machine learning-based parametrizations for ICON and evaluation with satellite data using the ESMValTool Presenter: Dr, Fernando Iglesias-Suarez (DLR - Deutsches Zentrum für Luft- und Raumfahrt e.V.)
14:15 14:30	Learning and screening of neural networks architectures for sub-grid-scale parametrizations of sea-ice dynamics from idealized twin experiments Presenter: Tobias Finn (Cerea, École des Ponts ParisTech and EDF R&D)
14:30 14:45	Matryoshka Neural Operators: Learning Fast PDE solvers with Limited Training Data Presenter: Björn Lütjens (MIT)
14:45 15:00	Machine learning-based constraint of the aerosol optical depth maps simulated by the CHIMERE chemistry-transport model Presenter: Farouk Lemmouchi (LISA, UMR 7583 CNRS, Université Paris-Est Créteil)
15:00 15:15	Hybrid Modelling of Land-Atmosphere Fluxes: Estimating Evapotranspiration using Combined Physics-Based and Data-Driven Machine Learning Presenter: Prof. Marco Körner (Technical University of Munich (TUM))
15:15 15:30	Eddy Detecting Deep Neural Networks for Numerical Model Validation and Assimilation Presenter: Evangelos Moschos (Ecole Polytechnique - LMD)