Articles | Volume 21, issue 5
https://doi.org/10.5194/os-21-2255-2025
https://doi.org/10.5194/os-21-2255-2025
Research article
 | 
07 Oct 2025
Research article |  | 07 Oct 2025

Process-based modelling of nonharmonic internal tides using adjoint, statistical, and stochastic approaches – Part 2: Adjoint frequency response analysis, stochastic models, and synthesis

Kenji Shimizu

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2024-4193', Anonymous Referee #1, 17 Mar 2025
    • AC1: 'Reply on RC1', Kenji Shimizu, 18 May 2025
  • RC2: 'Comment on egusphere-2024-4193', Anonymous Referee #2, 18 Mar 2025
    • AC2: 'Reply on RC2', Kenji Shimizu, 18 May 2025
  • EC1: 'Comment on egusphere-2024-4193', Julian Mak, 01 Jun 2025

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Kenji Shimizu on behalf of the Authors (25 May 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (27 May 2025) by Julian Mak
RR by Anonymous Referee #1 (13 Jun 2025)
RR by Anonymous Referee #2 (22 Jun 2025)
ED: Publish subject to minor revisions (review by editor) (22 Jun 2025) by Julian Mak
AR by Kenji Shimizu on behalf of the Authors (01 Jul 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (02 Jul 2025) by Julian Mak
AR by Kenji Shimizu on behalf of the Authors (10 Jul 2025)  Author's response   Manuscript 
Short summary
This study develops a new model suite for the random component of internal tides (internal waves at tidal frequencies). Its example application shows that important parameters for the randomization are the magnitude and correlation length of phase-speed variability and the directional dependence of the phase correlation. The model suite provides a new tool for investigating process and/or parameter dependence of observed random internal tides and for identifying their important sources.
Share