Articles | Volume 21, issue 2
https://doi.org/10.5194/os-21-807-2025
https://doi.org/10.5194/os-21-807-2025
Research article
 | 
17 Apr 2025
Research article |  | 17 Apr 2025

Coupled estimation of internal tides and turbulent motions via statistical modal decomposition

Igor Maingonnat, Gilles Tissot, and Noé Lahaye

Data sets

Codes and data-set for "Coupled estimation of internal tides and turbulent motions via statistical modal decomposition'' Igor Maingonnat https://gitlab.inria.fr/imaingon/internal-tide-simulation.git

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Short summary

The entanglement of waves and currents in observational data complicates their respective estimation. We propose a data-driven method that provides a reduced set of modes for waves and currents. These sets of modes are correlated with each other, enabling us to perform a coupled estimation of these two physical processes. This methodology is capable of producing estimates from an instantaneous observation of sea surface height and for a strong jet signal.

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