3 papers
cs.LG2023
Learning of Sea Surface Height Interpolation from Multi-variate Simulated Satellite Observations
Theo Archambault, Arthur Filoche, Anastase Charantonis +2
Satellite-based remote sensing missions have revolutionized our understanding of the Ocean state and dynamics. Among them, space-borne altimetry provides valuable Sea Surface Heigh…
cs.LG2022
Learning 4DVAR inversion directly from observations
Arthur Filoche, Julien Brajard, Anastase Charantonis +1
Variational data assimilation and deep learning share many algorithmic aspects in common. While the former focuses on system state estimation, the latter provides great inductive b…
eess.SP2021
Fusion of rain radar images and wind forecasts in a deep learning model applied to rain nowcasting
Vincent Bouget, Dominique Béréziat, Julien Brajard +2
Short- or mid-term rainfall forecasting is a major task with several environmental applications such as agricultural management or flood risk monitoring. Existing data-driven appro…