Preprints
https://doi.org/10.5194/sp-2024-41
https://doi.org/10.5194/sp-2024-41
07 Oct 2024
 | 07 Oct 2024
Status: this preprint is currently under review for the journal SP.

Numerical Models for Simulating Ocean Physics

Michael J. Bell, Yann Drillet, Matthew Martin, Andreas Schiller, and Stefania Ciliberti

Abstract. We describe, at an elementary level, the spatially varying properties of the ocean that physical ocean models represent, the principles they use to evolve these properties with time, the physical phenomena that they simulate, and some of the roles these phenomena play within the Earth system. We also describe, in some technical detail, the methods and approximations that the models use and the difficulties that limit their accuracy or reliability.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Michael J. Bell, Yann Drillet, Matthew Martin, Andreas Schiller, and Stefania Ciliberti

Status: open (until 02 Dec 2024)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on sp-2024-41', Anonymous Referee #1, 11 Oct 2024 reply
    • AC1: 'Reply on RC1', Mike Bell, 12 Nov 2024 reply
  • RC2: 'Comment on sp-2024-41', Anonymous Referee #2, 01 Nov 2024 reply
    • AC2: 'Reply on RC2', Mike Bell, 12 Nov 2024 reply
Michael J. Bell, Yann Drillet, Matthew Martin, Andreas Schiller, and Stefania Ciliberti
Michael J. Bell, Yann Drillet, Matthew Martin, Andreas Schiller, and Stefania Ciliberti

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Short summary
We describe, at an elementary level, the spatially varying properties of the ocean that physical ocean models represent, the principles they use to evolve these properties with time, the physical phenomena that they simulate, and some of the roles these phenomena play within the Earth system. We also describe, in some technical detail, the methods and approximations that the models use and the difficulties that limit their accuracy or reliability.
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