08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
8:45 - 9:00 (15min)
Acceuil des participants
ENS-LMD Salle 314, aile ERASME
›9:00 (45min)
› ENS-LMD Salle 314, aile ERASME
9:00 - 9:45 (45min)
Machine Learning for Climate Change and Environmental Sustainability
ENS-LMD Salle 314, aile ERASME
Claire Monteleoni (INRIA)
›9:45 (45min)
Choosing the Right Method for Data Assimilation: Nudging, Particle Filter, 4DVar?
Emmanuel Cosme (IGE/MEOM, Grenoble)
Emmanuel Cosme (IGE/MEOM, Grenoble)
› ENS-LMD Salle 314, aile ERASME
9:45 - 10:30 (45min)
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 (25min)
Pause café
ENS-LMD Top Floor
›10:55 (45min)
New ways for dynamical prediction of extreme heat waves and abrupt climate change: rare event simulations and machine learning
- Freddy Bouchet (LMD)
- Freddy Bouchet (LMD)
› ENS-LMD Salle 314, aile ERASME
10:55 - 11:40 (45min)
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 (15min)
How can we assimilate geoscientific data according to Wasserstein metric?
Pierre Vanderbecken (CEREA)
Pierre Vanderbecken (CEREA)
› ENS-LMD Salle 314, aile ERASME
11:40 - 11:55 (15min)
How can we assimilate geoscientific data according to Wasserstein metric?
ENS-LMD Salle 314, aile ERASME
Pierre Vanderbecken (CEREA)
›11:55 (15min)
› ENS-LMD Salle 314, aile ERASME
11:55 - 12:10 (15min)
Rare events algorithm study of extreme long-lasting heatwaves in India
ENS-LMD Salle 314, aile ERASME
Clement Le Priol (ENS Lyon)
›12:10 (1h15)
Stochastic weather generator and deep learning approach for predicting and sampling extreme European heatwaves
George Miloshevich (CEA)
George Miloshevich (CEA)
› ENS-LMD Salle 314, aile ERASME
12:10 - 13:25 (1h15)
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 (1h15)
Déjeuner
ENS-LMD Top Floor
›13:45 (15min)
Leveraging recent advances in Large Language Models (LLMs) for IPSL scientists/engineers
Redouane Lguensat (IPSL)
Redouane Lguensat (IPSL)
› ENS-LMD Salle 314, aile ERASME
13:45 - 14:00 (15min)
Leveraging recent advances in Large Language Models (LLMs) for IPSL scientists/engineers
ENS-LMD Salle 314, aile ERASME
Redouane Lguensat (IPSL)
›14:00 (15min)
› ENS-LMD Salle 314, aile ERASME
14:00 - 14:15 (15min)
Separation of internal and forced variability of climate using a U-Net
ENS-LMD Salle 314, aile ERASME
Constantin Bone (LOCEAN)
›14:15 (15min)
Projection and Possible causes of Summer Precipitation in Eastern China Using Self-Organizing Map
Laurent Li (LMD)
Laurent Li (LMD)
› ENS-LMD Salle 314, aile ERASME
14:15 - 14:30 (15min)
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 (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)
Joffrey Dumont Le Brazidec (CEREA)
› ENS-LMD Salle 314, aile ERASME
14:30 - 14:45 (15min)
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 (15min)
› ENS-LMD Salle 314, aile ERASME
14:45 - 15:00 (15min)
Deep learning for surrogate modeling of neXtSIM
ENS-LMD Salle 314, aile ERASME
Charlotte Durand (CEREA)
15:00 - 15:45 (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)
Segolene Crossouard (LSCE)
› ENS-LMD Salle 314, aile ERASME
15:45 - 16:00 (15min)
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 (15min)
Development of a machine learning model for spinup acceleration of IPSL-CM ocean system model NEMO –
– Maud Tissot (LOCEAN)
– Maud Tissot (LOCEAN)
› ENS-LMD Salle 314, aile ERASME
16:00 - 16:15 (15min)
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 (45min)
› ENS-LMD Salle 314, aile ERASME
16:15 - 17:00 (45min)
Conclusion. Discussion générale sur les perspectives de SAMA.
ENS-LMD Salle 314, aile ERASME
