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

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2024-1483', Aurelien Ponte, 10 Jul 2024
  • RC2: 'Comment on egusphere-2024-1483', Anonymous Referee #2, 24 Oct 2024
  • RC3: 'Comment on egusphere-2024-1483', Anonymous Referee #3, 04 Nov 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Igor Maingonnat on behalf of the Authors (21 Dec 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (02 Jan 2025) by Rob Hall
RR by Anonymous Referee #2 (18 Jan 2025)
RR by Anonymous Referee #3 (24 Jan 2025)
ED: Publish subject to minor revisions (review by editor) (27 Jan 2025) by Rob Hall
AR by Igor Maingonnat on behalf of the Authors (11 Feb 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (12 Feb 2025) by Rob Hall
AR by Igor Maingonnat on behalf of the Authors (19 Feb 2025)
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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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