Artificial Intelligence in Geophysical Data Assimilation: New Methods for Bridging Models and Observations

Séminaire Scientifique

Lieu : IMT-Atlantique - Petit Amphi

Intervenant : Saïd Ouala

Titre de la présentation : Artificial Intelligence in Geophysical Data Assimilation: New Methods for Bridging Models and Observations

Description:

Data assimilation (DA) is widely employed to derive state estimates in high-dimensional spatio-temporal dynamical systems, with applications ranging from computational fluid dynamics (CFD) to geosciences and climate modeling. In recent years, significant efforts have been made to integrate DA with Artificial Intelligence (AI) techniques. This emerging area of research aims to tackle key challenges in complex high-dimensional systems, such as system identification, reduced-order surrogate modeling, model tuning, and model correction. In this presentation, we will provide an overview of data assimilation for geophysical systems and explore various opportunities for advancing the field of DA with artificial intelligence.