Articles | Volume 17, issue 6
https://doi.org/10.5194/tc-17-2509-2023
https://doi.org/10.5194/tc-17-2509-2023
Research article
 | 
27 Jun 2023
Research article |  | 27 Jun 2023

The effects of assimilating a sub-grid-scale sea ice thickness distribution in a new Arctic sea ice data assimilation system

Nicholas Williams, Nicholas Byrne, Daniel Feltham, Peter Jan Van Leeuwen, Ross Bannister, David Schroeder, Andrew Ridout, and Lars Nerger

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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-2022-982', Anonymous Referee #1, 14 Nov 2022
  • RC2: 'Comment on egusphere-2022-982', Anonymous Referee #2, 15 Nov 2022

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) (01 Feb 2023) by Stephen Howell
AR by Nicholas Williams on behalf of the Authors (13 Mar 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (14 Mar 2023) by Stephen Howell
RR by Anonymous Referee #1 (15 Mar 2023)
RR by Anonymous Referee #2 (24 Mar 2023)
ED: Publish as is (08 Apr 2023) by Stephen Howell
AR by Nicholas Williams on behalf of the Authors (18 Apr 2023)
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Short summary
Observations show that the Arctic sea ice cover has reduced over the last 40 years. This study uses ensemble-based data assimilation in a stand-alone sea ice model to investigate the impacts of assimilating three different kinds of sea ice observation, including the novel assimilation of sea ice thickness distribution. We show that assimilating ice thickness distribution has a positive impact on thickness and volume estimates within the ice pack, especially for very thick ice.