sama-2023 : Journée SAMA 2023
26-26 May 2023 Paris (France)
FR
EN
Login
Lost password ?
Create account
Main menu
Home
Registration
Planning
HELP
@ Contact
Planning
Fri. 26
List
Fri. 26
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
Welcome
8:45 - 9:00 (15min)
Welcome
ENS-LMD Salle 314, aile ERASME
Machine Learning for Climate Change and Environmental Sustainability
9:00 - 9:45 (45min)
Machine Learning for Climate Change and Environmental Sustainability
ENS-LMD Salle 314, aile ERASME
Claire Monteleoni (INRIA)
Choosing the Right Method for Data Assimilation: Nudging, Particle Filter, 4DVar?
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)
Coffee break
10:30 - 10:55 (25min)
Coffee break
ENS-LMD Top Floor
New ways for dynamical prediction of extreme heat waves and abrupt climate change: rare event simulations and machine learning
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)
How can we assimilate geoscientific data according to Wasserstein metric?
11:40 - 11:55 (15min)
How can we assimilate geoscientific data according to Wasserstein metric?
ENS-LMD Salle 314, aile ERASME
Pierre Vanderbecken (CEREA)
Rare events algorithm study of extreme long-lasting heatwaves in India
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)
Stochastic weather generator and deep learning approach for predicting and sampling extreme European heatwaves
Lunch
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)
Lunch
ENS-LMD Top Floor
Leveraging recent advances in Large Language Models (LLMs) for IPSL scientists/engineers
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)
Separation of internal and forced variability of climate using a U-Net
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)
Projection and Possible causes of Summer Precipitation in Eastern China Using Self-Organizing Map
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)
Towards the inversion of plumes from power plants and industrial sites in satellite CO2 images using deep neural networks
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)
Deep learning for surrogate modeling of neXtSIM
14:45 - 15:00 (15min)
Deep learning for surrogate modeling of neXtSIM
ENS-LMD Salle 314, aile ERASME
Charlotte Durand (CEREA)
Coffee break
15:00 - 15:45 (45min)
Coffee break
ENS-LMD Top Floor
Premiers pas vers l'emulation de la physique en bloc du modele atmospherique ICOLMDZ en configuration aquaplanete
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)
Development of a machine learning model for spinup acceleration of IPSL-CM ocean system model NEMO –
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)
Conclusion. Discussion générale sur les perspectives de SAMA.
16:15 - 17:00 (45min)
Conclusion. Discussion générale sur les perspectives de SAMA.
ENS-LMD Salle 314, aile ERASME
Privacy
|
Accessibility
Loading...