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Séminaire

What can AI contribute to weather forecasting ? State-of-the-art and current research projects at Météo-France

Laure Raynaud (CNRM)

Séminaire du LMD à l’ENS.

       

Date de début 02/12/2026 14:00
Date de fin 02/12/2026
Organisateur LMD
Lieu ENS-PSL - 24 rue Lhomond - Salle Serre - E509

Description

AI has opened up new avenues in atmospheric modelling, with gains in both the quality and computational efficiency of models. Recently, the first data-driven weather forecasting models have become operational at several meteorological services. At Météo-France, the application of AI to weather forecasting is being explored from various angles. This presentation will provide an overview of our main areas of research, as well as some initial results concerning data-driven regional forecast models and high-resolution statistical downscaling.

 


Laure Raynaud (CNRM)

Informations supplémentaires

Lieu
École normale supérieure – PSL
24 rue Lhomond – aile Erasme
Salle Serre – E509
Accès par la cage d’escalier D