2023
Deep Learning for Lagrangian Drift Simulation at The Sea Surface
ICASSP 2023accepted
We address Lagrangian drift simulation in geophysical dynamics and explore Deep Learning approaches to overcome known limitations of state-of-the-art model-based and Markovian approaches in terms of computational complexity and error propagation. We introduce a novel architecture, referred to as Dri…