Articles | Volume 19, issue 3
https://doi.org/10.5194/tc-19-1135-2025
https://doi.org/10.5194/tc-19-1135-2025
Research article
 | 
11 Mar 2025
Research article |  | 11 Mar 2025

Novel methods to study sea ice deformation, linear kinematic features and coherent dynamic clusters from imaging remote sensing data

Polona Itkin

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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-2023-2626', Anonymous Referee #1, 24 Nov 2023
  • RC2: 'Comment on egusphere-2023-2626', Andrew Mahoney, 28 Dec 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) (18 Feb 2024) by Vishnu Nandan
AR by Polona Itkin on behalf of the Authors (11 Oct 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (02 Nov 2024) by Vishnu Nandan
RR by Stephen Howell (26 Nov 2024)
RR by Andrew Mahoney (13 Dec 2024)
ED: Publish subject to technical corrections (14 Dec 2024) by Vishnu Nandan
AR by Polona Itkin on behalf of the Authors (22 Dec 2024)  Author's response   Manuscript 
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Short summary
Radar satellite images of sea ice were analyzed to understand how sea ice moves and deforms. These data are noisy, especially when looking at small details. A method was developed to filter out the noise. The filtered data were used to monitor how ice plates stretch and compress over time, revealing slow healing of ice fractures. Cohesive clusters of ice plates that move together were studied too. These methods provide climate-relevant insights into the dynamic nature of winter sea ice cover.
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