39 citations · 53 across the 6 of their papers we have counts for
6 papers
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…
Online Calibration of Deep Learning Sub-Models for Hybrid Numerical Modeling Systems
Said Ouala, Bertrand Chapron, Fabrice Collard +2
Artificial intelligence and deep learning are currently reshaping numerical simulation frameworks by introducing new modeling capabilities. These frameworks are extensively investi…
Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning
Said Ouala, Steven L. Brunton, Ananda Pascual +4
The complexity of real-world geophysical systems is often compounded by the fact that the observed measurements depend on hidden variables. These latent variables include unresolve…
Learning Runge-Kutta Integration Schemes for ODE Simulation and Identification
Said Ouala, Laurent Debreu, Ananda Pascual +4
Deriving analytical solutions of ordinary differential equations is usually restricted to a small subset of problems and numerical techniques are considered. Inevitably, a numerica…
Learning Latent Dynamics for Partially-Observed Chaotic Systems
Said Ouala, Duong Nguyen, Lucas Drumetz +5
This paper addresses the data-driven identification of latent dynamical representations of partially-observed systems, i.e., dynamical systems for which some components are never o…
Wind, wave and current interactions appear key for quantifying cross-shelf transport and carbon export; new knowledge and the potential of SKIM to enable monitoring
Jamie D. Shutler, Thomas Holding, Clement Ubelmann +6
The highly heterogeneous and biologically active continental shelf-seas are important components of the oceanic carbon sink. Carbon rich water from shelf-seas is exported at depth…