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physics.ao-ph2026
Impact of geophysical fields on Deep Learning-based Lagrangian drift simulations
Daria Botvynko, Carlos Granero-Belinchon, Simon Van Gennip +2
We assess the influence of different Eulerian geophysical input fields on Lagrangian drift simulations using DriftNet, a learning-based method designed to simulate Lagrangian drift…
physics.ao-ph2025
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…