highlights

Intercomparison of data-driven and learning-based interpolations of along-track Nadir and wide-swath Swot altimetry observations

This paper reports benchmarking experiments for data-driven interpolation of satellite-derived SSH fields.

M Beauchamp, R Fablet, C Ubelmann, M Ballarotta, B Chapron

arXiv:2007.12941

Have a look to the online animation link

Learning Variational Data Assimilation Models and Solvers

This paper introduces a novel data-driven framework to jointly learn variational models and the associated solvers for data assimilation.

R Fablet, B Chapron, L Drumetz, E Memin, O Pannekoucke, F Rousseau

arXiv:2007.12941

PDE-NetGen 1.0: from symbolic partial differential equation (PDE) representations of physical processes to trainable neural network representations

A first paper from the collaboration with O. Pannekoucke (Meteo France) addressing the automatic generation of neural network architectures from symbolic PDEs.

O Pannekoucke, R Fablet

GMD (2020)