Articles | Volume 19, issue 11
https://doi.org/10.5194/tc-19-5445-2025
https://doi.org/10.5194/tc-19-5445-2025
Research article
 | 
06 Nov 2025
Research article |  | 06 Nov 2025

Sensitivity of iceberg drift and deterioration simulations to input data from different ocean, sea ice and atmosphere models in the Barents Sea

Lia Herrmannsdörfer, Raed Khalil Lubbad, and Knut Vilhelm Høyland

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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-2024-3055', Anonymous Referee #1, 15 Dec 2024
  • RC2: 'Remove some technical parts and develop the discussions section', Anonymous Referee #2, 27 Jan 2025
  • EC1: 'Comment on egusphere-2024-3055', Daniel Feltham, 28 Jan 2025
    • AC3: 'Reply on EC1', Lia Herrmannsdörfer, 31 Jan 2025

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (further review by editor and referees) (31 Jan 2025) by Daniel Feltham
AR by Lia Herrmannsdörfer on behalf of the Authors (04 Mar 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Reconsider after major revisions (further review by editor and referees) (17 May 2025) by Daniel Feltham
ED: Referee Nomination & Report Request started (21 May 2025) by Daniel Feltham
RR by Anonymous Referee #2 (23 Jun 2025)
ED: Publish subject to revisions (further review by editor and referees) (27 Jun 2025) by Daniel Feltham
AR by Lia Herrmannsdörfer on behalf of the Authors (05 Aug 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (08 Aug 2025) by Daniel Feltham
RR by Anonymous Referee #2 (01 Oct 2025)
ED: Publish as is (06 Oct 2025) by Daniel Feltham
AR by Lia Herrmannsdörfer on behalf of the Authors (07 Oct 2025)
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Short summary
Numerical simulations of iceberg drift and deterioration are a useful tool to fill the gap of otherwise scarce iceberg observations in the Barents Sea. We create statistics of iceberg simulations with input from different combinations of ocean, sea ice and atmosphere models to study their impact on the simulation results. We find that especially using different sea ice models Topaz and Barents-2.5 influences the iceberg drift, deterioration and occurrence in the domain.
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