26-26 mai 2023 Paris (France)

Programme

vendredi 26 mai 2023
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
›8:45 (15min)
Acceuil des participants
› ENS-LMD Salle 314, aile ERASME
›9:00 (45min)
Machine Learning for Climate Change and Environmental Sustainability
Claire Monteleoni (INRIA)
› ENS-LMD Salle 314, aile ERASME
›9:45 (45min)
Choosing the Right Method for Data Assimilation: Nudging, Particle Filter, 4DVar?
Emmanuel Cosme (IGE/MEOM, Grenoble)
› ENS-LMD Salle 314, aile ERASME
›10:30 (25min)
Pause café
› ENS-LMD Top Floor
›11:40 (15min)
How can we assimilate geoscientific data according to Wasserstein metric?
Pierre Vanderbecken (CEREA)
› ENS-LMD Salle 314, aile ERASME
›11:55 (15min)
Rare events algorithm study of extreme long-lasting heatwaves in India
Clement Le Priol (ENS Lyon)
› ENS-LMD Salle 314, aile ERASME
›12:10 (1h15)
Stochastic weather generator and deep learning approach for predicting and sampling extreme European heatwaves
George Miloshevich (CEA)
› ENS-LMD Salle 314, aile ERASME
›12:30 (1h15)
Déjeuner
› ENS-LMD Top Floor
›13:45 (15min)
Leveraging recent advances in Large Language Models (LLMs) for IPSL scientists/engineers
Redouane Lguensat (IPSL)
› ENS-LMD Salle 314, aile ERASME
›14:00 (15min)
Separation of internal and forced variability of climate using a U-Net
Constantin Bone (LOCEAN)
› ENS-LMD Salle 314, aile ERASME
›14:15 (15min)
Projection and Possible causes of Summer Precipitation in Eastern China Using Self-Organizing Map
Laurent Li (LMD)
› ENS-LMD Salle 314, aile ERASME
›14:30 (15min)
Towards the inversion of plumes from power plants and industrial sites in satellite CO2 images using deep neural networks
Joffrey Dumont Le Brazidec (CEREA)
› ENS-LMD Salle 314, aile ERASME
›14:45 (15min)
Deep learning for surrogate modeling of neXtSIM
Charlotte Durand (CEREA)
› ENS-LMD Salle 314, aile ERASME
›15:00 (45min)
Pause café
› ENS-LMD Top Floor
›15:45 (15min)
Premiers pas vers l'emulation de la physique en bloc du modele atmospherique ICOLMDZ en configuration aquaplanete
Segolene Crossouard (LSCE)
› ENS-LMD Salle 314, aile ERASME
›16:00 (15min)
Development of a machine learning model for spinup acceleration of IPSL-CM ocean system model NEMO –
– Maud Tissot (LOCEAN)
› ENS-LMD Salle 314, aile ERASME
›16:15 (45min)
Conclusion. Discussion générale sur les perspectives de SAMA.
› ENS-LMD Salle 314, aile ERASME
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