Collège De France (général)

Grand événement - À la recherche d'un Avenir Commun DurableL'IA et les mathématiques pour la météorologie et la climatologieAI and math for meteorology and climatologyCollège de FranceAnnée 2024-20255 mai 2025Grand événement - AI and math for meteorology and climatology - Marc Bocquet: Artificial intelligence for geophysical data assimilationMarc BocquetCEREA, ENPC, EdF R&D, Institut Polytechnique de ParisRésuméData assimilation is the set of key mathematical methods used to optimally combine observations and numerical model outputs. Data assimilation (DA) is critical to adjust the initial condition of meteorological forecasts, to estimate model parameters, and produce accurate re-analysis datasets. It has been at the heart of all operational weather forecasts for the past 50 years. Very recently, artificial intelligence (AI) and in particular deep learning, has begun being used as a tool to improve classical DA, to be combined with DA algorithmic schemes, or even to offer a substitute for DA.I will give