8 citations · 8 across the 2 of their papers we have counts for
2 papers
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.flu-dyn2024★ 8 cited
GLONET: Mercator's end-to-end neural Global Ocean forecasting system
Anass El Aouni, Quentin Gaudel, Charly Regnier +5
Accurate ocean forecasting is crucial in different areas ranging from science to decision making. Recent advancements in data-driven models have shown significant promise, particul…