Articles | Volume 18, issue 3
https://doi.org/10.5194/tc-18-1139-2024
https://doi.org/10.5194/tc-18-1139-2024
Research article
 | 
11 Mar 2024
Research article |  | 11 Mar 2024

Impact of boundary conditions on the modeled thermal regime of the Antarctic ice sheet

In-Woo Park, Emilia Kyung Jin, Mathieu Morlighem, and Kang-Kun Lee

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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 tc-2023-81', Tyler Pelle, 02 Aug 2023
    • AC1: 'Reply on RC1', In-Woo Park, 24 Sep 2023
  • RC2: 'Comment on tc-2023-81', Anonymous Referee #2, 15 Aug 2023
    • AC2: 'Reply on RC2', In-Woo Park, 24 Sep 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) (03 Oct 2023) by Benjamin Smith
AR by In-Woo Park on behalf of the Authors (16 Oct 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (25 Oct 2023) by Benjamin Smith
AR by In-Woo Park on behalf of the Authors (20 Nov 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (18 Dec 2023) by Benjamin Smith
AR by In-Woo Park on behalf of the Authors (07 Jan 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (11 Jan 2024) by Benjamin Smith
AR by In-Woo Park on behalf of the Authors (16 Jan 2024)
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Short summary
This study conducted 3D thermodynamic ice sheet model experiments, and modeled temperatures were compared with 15 observed borehole temperature profiles. We found that using incompressibility of ice without sliding agrees well with observed temperature profiles in slow-flow regions, while incorporating sliding in fast-flow regions captures observed temperature profiles. Also, the choice of vertical velocity scheme has a greater impact on the shape of the modeled temperature profile.