Articles | Volume 18, issue 2
https://doi.org/10.5194/tc-18-911-2024
https://doi.org/10.5194/tc-18-911-2024
Research article
 | 
28 Feb 2024
Research article |  | 28 Feb 2024

Local forcing mechanisms challenge parameterizations of ocean thermal forcing for Greenland tidewater glaciers

Alexander O. Hager, David A. Sutherland, and Donald A. Slater

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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 egusphere-2023-746', Michele Petrini, 09 Jun 2023
  • RC2: 'Comment on egusphere-2023-746', Anonymous Referee #2, 30 Jun 2023

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) (12 Sep 2023) by Nanna Bjørnholt Karlsson
AR by Alexander Hager on behalf of the Authors (24 Oct 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to revisions (further review by editor and referees) (16 Nov 2023) by Nanna Bjørnholt Karlsson
AR by Alexander Hager on behalf of the Authors (12 Dec 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (14 Dec 2023) by Nanna Bjørnholt Karlsson
RR by Michele Petrini (22 Dec 2023)
ED: Publish subject to technical corrections (16 Jan 2024) by Nanna Bjørnholt Karlsson
AR by Alexander Hager on behalf of the Authors (17 Jan 2024)  Author's response   Manuscript 
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Short summary
Warming ocean temperatures cause considerable ice loss from the Greenland Ice Sheet; however climate models are unable to resolve the complex ocean processes within fjords that influence near-glacier ocean temperatures. Here, we use a computer model to test the accuracy of assumptions that allow climate and ice sheet models to project near-glacier ocean temperatures, and thus glacier melt, into the future. We then develop new methods that improve accuracy by accounting for local ocean processes.