Articles | Volume 5-opsr
https://doi.org/10.5194/sp-5-opsr-21-2025
https://doi.org/10.5194/sp-5-opsr-21-2025
02 Jun 2025
 | OPSR | Chapter 8.2
 | 02 Jun 2025 | OPSR | Chapter 8.2

Improving accuracy and providing uncertainty estimations: ensemble methodologies for ocean forecasting

Ibrahim Hoteit, Eric Chassignet, and Mike Bell

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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 sp-2024-10', Anonymous Referee #1, 07 Oct 2024
  • RC2: 'Comment on sp-2024-10', Anonymous Referee #2, 28 Oct 2024
  • CC1: 'Comment on sp-2024-10', Johannes Röhrs, 26 Nov 2024

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) (27 Jan 2025) by Stefania Angela Ciliberti
AR by Ibrahim Hoteit on behalf of the Authors (30 Jan 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (04 Feb 2025) by Stefania Angela Ciliberti
AR by Ibrahim Hoteit on behalf of the Authors (11 Feb 2025)
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Short summary
This paper explores how using multiple predictions instead of just one can improve ocean forecasts and help prepare for changes in ocean conditions. By combining different forecasts, scientists can better understand the uncertainty in predictions, leading to more reliable forecasts and better decision-making. This method is useful for responding to hazards like oil spills, improving climate forecasts, and supporting decision-making in fields like marine safety and resource management.
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