Articles | Volume 5-opsr
https://doi.org/10.5194/sp-5-opsr-9-2025
https://doi.org/10.5194/sp-5-opsr-9-2025
02 Jun 2025
 | OPSR | Chapter 4.3
 | 02 Jun 2025 | OPSR | Chapter 4.3

Data assimilation schemes for ocean forecasting: state of the art

Matthew J. Martin, Ibrahim Hoteit, Laurent Bertino, and Andrew M. Moore

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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 sp-2024-20', P. Sakov, 24 Sep 2024
    • AC1: 'Reply on CC1', Matthew Martin, 24 Sep 2024
  • RC1: 'Comment on sp-2024-20', G. C. Smith, 25 Oct 2024
    • AC3: 'Reply on RC1', Matthew Martin, 14 Jan 2025
  • CC2: 'Comment on sp-2024-20', Lars Nerger, 11 Nov 2024
    • AC2: 'Reply on CC2', Matthew Martin, 14 Jan 2025
  • RC2: 'Comment on sp-2024-20', Anonymous Referee #2, 06 Jan 2025
    • AC4: 'Reply on RC2', Matthew Martin, 14 Jan 2025

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to revisions (further review by editor and referees) (23 Jan 2025) by Stefania Angela Ciliberti
AR by Matthew Martin on behalf of the Authors (24 Jan 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (04 Feb 2025) by Stefania Angela Ciliberti
AR by Matthew Martin on behalf of the Authors (04 Feb 2025)  Manuscript 
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Short summary
Observations of the ocean from satellites and platforms in the ocean are combined with information from computer models to produce predictions of how the ocean temperature, salinity, and currents will evolve over the coming days and weeks and to describe how the ocean has evolved in the past. This paper summarises the methods used to produce these ocean forecasts at various centres around the world and outlines the practical considerations for implementing such forecasting systems.
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