Articles | Volume 16, issue 8
https://doi.org/10.5194/tc-16-3235-2022
https://doi.org/10.5194/tc-16-3235-2022
Research article
 | 
12 Aug 2022
Research article |  | 12 Aug 2022

Improving model-satellite comparisons of sea ice melt onset with a satellite simulator

Abigail Smith, Alexandra Jahn, Clara Burgard, and Dirk Notz

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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-2021-331', Anonymous Referee #1, 20 Dec 2021
    • AC1: 'Reply on RC1', Abigail Smith, 14 Apr 2022
  • RC2: 'Comment on tc-2021-331', Anonymous Referee #2, 21 Dec 2021
    • AC2: 'Reply on RC2', Abigail Smith, 14 Apr 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (review by editor) (15 Apr 2022) by Ludovic Brucker
AR by Abigail Smith on behalf of the Authors (19 May 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (10 Jun 2022) by Ludovic Brucker
AR by Abigail Smith on behalf of the Authors (24 Jun 2022)  Manuscript 
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Short summary
The timing of Arctic sea ice melt each year is an important metric for assessing how sea ice in climate models compares to satellite observations. Here, we utilize a new tool for creating more direct comparisons between climate model projections and satellite observations of Arctic sea ice, such that the melt onset dates are defined the same way. This tool allows us to identify climate model biases more clearly and gain more information about what the satellites are observing.