57 citations · 72 across the 4 of their papers we have counts for
5 papers
A DNN Framework for Learning Lagrangian Drift With Uncertainty
Joseph Jenkins, Adeline Paiement, Yann Ourmières +4
Reconstructions of Lagrangian drift, for example for objects lost at sea, are often uncertain due to unresolved physical phenomena within the data. Uncertainty is usually overcome…
A reduced-order strategy for 4D-Var data assimilation
Céline Robert, S. Durbiano, Eric Blayo +3
This paper presents a reduced-order approach for four-dimensional variational data assimilation, based on a prior EO F analysis of a model trajectory. This method implies two main…
Reduced-order 4D-Var: a preconditioner for the Incremental 4D-Var data assimilation method
Céline Robert, Eric Blayo, Jacques Verron
This study demonstrates how the incremental 4D-Var data assimilation method can be applied efficiently preconditione d in an application to an oceanographic problem. The approach c…
Comparison of reduced-order, sequential and variational data assimilation methods in the tropical Pacific Ocean
Céline Robert, Eric Blayo, Jacques Verron
This paper presents a comparison of two reduced-order, sequential and variational data assimilation methods: the SEEK filter and the R-4D-Var. A hybridization of the two, combining…
Using data assimilation in laboratory experiments of geophysical flows
Martin Galmiche, Joel Sommeria, Emmanuelle Thivolle-Cazat +1
Data assimilation is used in numerical simulations of laboratory experiments in a stratified, rotating fluid. The experiments are performed on the large Coriolis turntable (Grenobl…