Articles | Volume 15, issue 11
Geosci. Model Dev., 15, 4373–4392, 2022
https://doi.org/10.5194/gmd-15-4373-2022
Geosci. Model Dev., 15, 4373–4392, 2022
https://doi.org/10.5194/gmd-15-4373-2022
Development and technical paper
09 Jun 2022
Development and technical paper | 09 Jun 2022

Implementation and evaluation of open boundary conditions for sea ice in a regional coupled ocean (ROMS) and sea ice (CICE) modeling system

Pedro Duarte et al.

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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 gmd-2022-23', Anonymous Referee #1, 09 Mar 2022
    • AC1: 'Reply on RC1', Pedro Duarte, 25 Mar 2022
  • RC2: 'Comment on gmd-2022-23', Anonymous Referee #2, 28 Mar 2022
  • AC2: 'Comment on gmd-2022-23', Pedro Duarte, 10 Apr 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Pedro Duarte on behalf of the Authors (10 Apr 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (12 Apr 2022) by Christopher Horvat
RR by Anonymous Referee #1 (18 Apr 2022)
RR by Anonymous Referee #2 (02 May 2022)
ED: Publish subject to minor revisions (review by editor) (09 May 2022) by Christopher Horvat
AR by Pedro Duarte on behalf of the Authors (13 May 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to technical corrections (16 May 2022) by Christopher Horvat
AR by Pedro Duarte on behalf of the Authors (16 May 2022)  Author's response    Manuscript
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Short summary
Sea ice models are often implemented for very large domains beyond the regions of sea ice formation, such as the whole Arctic or all of Antarctica. In this study, we implement changes in the Los Alamos Sea Ice Model, allowing it to be implemented for relatively small regions within the Arctic or Antarctica and yet considering the presence and influence of sea ice outside the represented areas. Such regional implementations are important when spatially detailed results are required.