Articles | Volume 17, issue 4
https://doi.org/10.5194/os-17-891-2021
https://doi.org/10.5194/os-17-891-2021
Research article
 | 
06 Jul 2021
Research article |  | 06 Jul 2021

High-resolution stochastic downscaling method for ocean forecasting models and its application to the Red Sea dynamics

Georgy I. Shapiro, Jose M. Gonzalez-Ondina, and Vladimir N. Belokopytov

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on os-2020-119', George Zodiatis, 27 Jan 2021
    • AC1: 'Reply on CC1', Georgy Shapiro, 12 Apr 2021
  • RC1: 'Comment on os-2020-119', Mike Bell, 16 Feb 2021
    • AC2: 'Reply on RC1', Georgy Shapiro, 12 Apr 2021
  • EC1: 'Comment on os-2020-119', John M. Huthnance, 26 Mar 2021
    • AC3: 'Reply on EC1', Georgy Shapiro, 12 Apr 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Georgy Shapiro on behalf of the Authors (12 Apr 2021)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (15 Apr 2021) by John M. Huthnance
RR by Mike Bell (10 May 2021)
ED: Publish subject to minor revisions (review by editor) (13 May 2021) by John M. Huthnance
AR by Georgy Shapiro on behalf of the Authors (02 Jun 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (04 Jun 2021) by John M. Huthnance
AR by Georgy Shapiro on behalf of the Authors (08 Jun 2021)  Author's response   Manuscript 
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Short summary
This paper presents an efficient method for high-resolution ocean modelling based on a combination of the deterministic and stochastic approaches. The method utilises mathematical tools similar to those developed for data assimilation in ocean modelling. The main difference is that instead of assimilating a relatively small number of observations, the SDD method assimilates all the data produced by a parent model. The method is applied to create an operational Stochastic Model of the Red Sea.