130 citations · 290 across the 26 of their papers we have counts for
5 papers · 1 filter
Neural ocean forecasting from sparse satellite-derived observations: a case-study for SSH dynamics and altimetry data
Daria Botvynko, Pierre Haslée, Lucile Gaultier +5
We present an end-to-end deep learning framework for short-term forecasting of global sea surface dynamics based on sparse satellite altimetry data. Building on two state-of-the-ar…
Towards fully differentiable neural ocean model with Veros
Etienne Meunier, Said Ouala, Hugo Frezat +2
We present a differentiable extension of the VEROS ocean model, enabling automatic differentiation through its dynamical core. We describe the key modifications required to make th…
Simulation-informed deep learning for enhanced SWOT observations of fine-scale ocean dynamics
Eugenio Cutolo, Carlos Granero-Belinchon, Ptashanna Thiraux +2
Oceanic processes at fine scales are crucial yet difficult to observe accurately due to limitations in satellite and in-situ measurements. The Surface Water and Ocean Topography (S…
Generalization performance of neural mapping schemes for the space-time interpolation of satellite-derived ocean colour datasets
Thi Thuy Nga Nguyen, Clément Dorffer, Frédéric Jourdin +1
Neural mapping schemes have become appealing approaches to deliver gap-free satellite-derived products for sea surface tracers. The generalization performance of these learning-bas…
Observation-only learning of neural mapping schemes for gappy satellite-derived ocean colour parameters
Clément Dorffer, Frédéric Jourdin, Thi Thuy Nga Nguyen +3
Monitoring optical properties of coastal and open ocean waters is crucial to assessing the health of marine ecosystems. Deep learning offers a promising approach to address these e…