Learning Variational Data Assimilation Models and Solvers

Learning Variational Data Assimilation Models and Solvers

25 July 2020

Bertrand Chapron

Papers citing "Learning Variational Data Assimilation Models and Solvers"

9 / 9 papers shown

Title
Hybrid machine learning data assimilation for marine biogeochemistry Ieuan Higgs Ross Bannister Jozef Skákala Alberto Carrassi Stefano Ciavatta AI4Cl AI4CE 26 0 0 07 Apr 2025
A physics-informed transformer neural operator for learning generalized solutions of initial boundary value problems Sumanth Kumar Boya Deepak Subramani AI4CE 99 0 0 12 Dec 2024
FengWu-4DVar: Coupling the Data-driven Weather Forecasting Model with 4D Variational Assimilation Yi Xiao Lei Bai Wei Xue Kang Chen Tao Han Wanli Ouyang AI4Cl 33 24 0 16 Dec 2023
Training neural mapping schemes for satellite altimetry with simulation data Q. Febvre Julien Le Sommer C. Ubelmann Ronan Fablet 11 9 0 19 Sep 2023
Ensemble forecasts in reproducing kernel Hilbert space family Benjamin Dufée Berenger Hug É. Mémin G. Tissot 24 1 0 29 Jul 2022
A posteriori learning for quasi-geostrophic turbulence parametrization Hugo Frezat Julien Le Sommer Ronan Fablet G. Balarac Redouane Lguensat 27 56 0 08 Apr 2022
Multimodal learning-based inversion models for the space-time reconstruction of satellite-derived geophysical fields Ronan Fablet Bertrand Chapron 18 4 0 20 Mar 2022
Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning Said Ouala Steven L. Brunton A. Pascual Bertrand Chapron F. Collard L. Gaultier Ronan Fablet PINN AI4TS AI4CE 18 10 0 11 Feb 2022
Bridging observation, theory and numerical simulation of the ocean using Machine Learning Maike Sonnewald Redouane Lguensat Daniel C. Jones P. Dueben J. Brajard Venkatramani Balaji AI4Cl AI4CE 46 100 0 26 Apr 2021