Coupled estimation of incoherent internal tide and turbulent motions via statistical modal decomposition - Centre Henri Lebesgue
Pré-Publication, Document De Travail Année : 2024

Coupled estimation of incoherent internal tide and turbulent motions via statistical modal decomposition

Résumé

We present a data-driven modal decomposition method that extracts the part of an incoherent internal tidal wave that correlates with the proper orthogonal decomposition (POD) of a turbulent mesoscale flow. This method exploits the a priori knowledge that the incoherent internal tide arises from interactions between its coherent component and the turbulent flow, and exploits the corresponding statistical correlation between the two types of motions. The method is presented and tested in an idealised framework based on the Rotating Shallow Water model, where we provide a physical interpretation for the decomposition method based on theoretical considerations. Using idealised simulations with a plane wave propagating through a zonal turbulent jet, we first propose the use of the modal decomposition method as a data analysis technique to understand how the wave is scattered by the flow. In a second step, we construct an estimation algorithm capable of separating the entangled contributions of the wave and mesoscale motions from a single sea surface height snapshot. This algorithm, which consists of estimating the POD coefficients of the turbulent flow – shared by the wave and jet modes – is particularly suitable for configurations where the jet contribution to the SSH is larger than that of the wave.
Fichier principal
Vignette du fichier
main.pdf (19.32 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04866439 , version 1 (06-01-2025)

Licence

Identifiants

Citer

Igor Maingonnat, Gilles Tissot, Noé Lahaye. Coupled estimation of incoherent internal tide and turbulent motions via statistical modal decomposition. 2025. ⟨hal-04866439⟩
0 Consultations
0 Téléchargements

Altmetric

Partager

More