26-26 mai 2023 Paris (France)

Programme

vendredi 26 mai 2023

Heures événement (+)
08:45 - 09:00 Acceuil des participants (ENS-LMD Salle 314, aile ERASME)  
09:00 - 09:45 Machine Learning for Climate Change and Environmental Sustainability (ENS-LMD Salle 314, aile ERASME) - Claire Monteleoni (INRIA)  
09:45 - 10:30 Choosing the Right Method for Data Assimilation: Nudging, Particle Filter, 4DVar? (ENS-LMD Salle 314, aile ERASME) - Emmanuel Cosme (IGE/MEOM, Grenoble)  
10:30 - 10:55 Pause café (ENS-LMD Top Floor)  
10:55 - 11:40 New ways for dynamical prediction of extreme heat waves and abrupt climate change: rare event simulations and machine learning (ENS-LMD Salle 314, aile ERASME) - - Freddy Bouchet (LMD)  
11:40 - 11:55 How can we assimilate geoscientific data according to Wasserstein metric? (ENS-LMD Salle 314, aile ERASME) - Pierre Vanderbecken (CEREA)  
11:55 - 12:10 Rare events algorithm study of extreme long-lasting heatwaves in India (ENS-LMD Salle 314, aile ERASME) - Clement Le Priol (ENS Lyon)  
12:10 - 13:25 Stochastic weather generator and deep learning approach for predicting and sampling extreme European heatwaves (ENS-LMD Salle 314, aile ERASME) - George Miloshevich (CEA)  
12:30 - 13:45 Déjeuner (ENS-LMD Top Floor)  
13:45 - 14:00 Leveraging recent advances in Large Language Models (LLMs) for IPSL scientists/engineers (ENS-LMD Salle 314, aile ERASME) - Redouane Lguensat (IPSL)  
14:00 - 14:15 Separation of internal and forced variability of climate using a U-Net (ENS-LMD Salle 314, aile ERASME) - Constantin Bone (LOCEAN)  
14:15 - 14:30 Projection and Possible causes of Summer Precipitation in Eastern China Using Self-Organizing Map (ENS-LMD Salle 314, aile ERASME) - Laurent Li (LMD)  
14:30 - 14:45 Towards the inversion of plumes from power plants and industrial sites in satellite CO2 images using deep neural networks (ENS-LMD Salle 314, aile ERASME) - Joffrey Dumont Le Brazidec (CEREA)  
14:45 - 15:00 Deep learning for surrogate modeling of neXtSIM (ENS-LMD Salle 314, aile ERASME) - Charlotte Durand (CEREA)  
15:00 - 15:45 Pause café (ENS-LMD Top Floor)  
15:45 - 16:00 Premiers pas vers l'emulation de la physique en bloc du modele atmospherique ICOLMDZ en configuration aquaplanete (ENS-LMD Salle 314, aile ERASME) - Segolene Crossouard (LSCE)  
16:00 - 16:15 Development of a machine learning model for spinup acceleration of IPSL-CM ocean system model NEMO – (ENS-LMD Salle 314, aile ERASME) - – Maud Tissot (LOCEAN)  
16:15 - 17:00 Conclusion. Discussion générale sur les perspectives de SAMA. (ENS-LMD Salle 314, aile ERASME)  
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