Articles | Volume 5-opsr
https://doi.org/10.5194/sp-5-opsr-18-2025
https://doi.org/10.5194/sp-5-opsr-18-2025
02 Jun 2025
 | OPSR | Chapter 7.1
 | 02 Jun 2025 | OPSR | Chapter 7.1

Atmospheric forcing as a driver for ocean forecasting

Andreas Schiller, Simon A. Josey, John Siddorn, and Ibrahim Hoteit

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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-2024-13', Anonymous Referee #1, 20 Nov 2024
  • AC1: 'Comment on sp-2024-13', Andreas Schiller, 04 Dec 2024
  • RC2: 'Comment on sp-2024-13', Anonymous Referee #2, 23 Dec 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 Andreas Schiller on behalf of the Authors (21 Feb 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (21 Feb 2025) by Stefania Angela Ciliberti
AR by Andreas Schiller on behalf of the Authors (27 Feb 2025)
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Short summary
The study illustrates the way atmospheric fields are used in ocean models as boundary conditions for the provisioning of the exchanges of heat, freshwater, and momentum fluxes. Such fluxes can be based on remote sensing instruments or provided directly by numerical weather prediction systems. Air–sea flux datasets are defined by their spatial and temporal resolutions and are limited by associated biases. Air–sea flux datasets for ocean models should be chosen with the applications in mind.
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