Preprints
https://doi.org/10.5194/egusphere-2023-1354
https://doi.org/10.5194/egusphere-2023-1354
03 Aug 2023
 | 03 Aug 2023

Damaging viscous-plastic sea ice

Antoine Savard and Bruno Tremblay

Abstract. We implement a damage parametrization in the standard viscous-plastic sea ice model to disentangle its effect from model physics (visco-elastic or elasto-brittle vs. visco-plastic) on its ability to reproduce observed scaling laws of deformation. To this end, we compare scaling properties and multifractality of simulated divergence and shear strain rate (as proposed in SIREx1), with those derived from the RADARSAT Geophysical Processor System (RGPS). Results show that including a damage parametrization in the standard viscous-plastic model increases the spatial, but decreases temporal localization of simulated Linear Kinematic Features, and brings all spatial deformation rate statistics in line with observations from RGPS without the need to increase the mechanical shear strength of sea ice as recently proposed for lower resolution viscous-plastic sea ice models. In fact, including damage an healing timescale of th = 30 days and an increased mechanical strength unveil multifractal behavior that does not fit the theory. Therefore, a damage parametrization is a powerful tuning knob affecting the deformation statistics.

Journal article(s) based on this preprint

30 Apr 2024
On the sensitivity of sea ice deformation statistics to plastic damage
Antoine Savard and Bruno Tremblay
The Cryosphere, 18, 2017–2034, https://doi.org/10.5194/tc-18-2017-2024,https://doi.org/10.5194/tc-18-2017-2024, 2024
Short summary
Antoine Savard and Bruno Tremblay

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-1354', Jérôme Weiss, 12 Sep 2023
  • RC2: 'Comment on egusphere-2023-1354', Anonymous Referee #2, 25 Oct 2023
  • EC1: 'Comment on egusphere-2023-1354 by acting Editor', Daniel Feltham, 16 Nov 2023

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-1354', Jérôme Weiss, 12 Sep 2023
  • RC2: 'Comment on egusphere-2023-1354', Anonymous Referee #2, 25 Oct 2023
  • EC1: 'Comment on egusphere-2023-1354 by acting Editor', Daniel Feltham, 16 Nov 2023

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) (19 Dec 2023) by Daniel Feltham
AR by Antoine Savard on behalf of the Authors (17 Jan 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (31 Jan 2024) by Daniel Feltham
RR by Anonymous Referee #2 (23 Feb 2024)
RR by Jérôme Weiss (28 Feb 2024)
ED: Publish subject to minor revisions (review by editor) (28 Feb 2024) by Daniel Feltham
AR by Antoine Savard on behalf of the Authors (11 Mar 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (12 Mar 2024) by Daniel Feltham
AR by Antoine Savard on behalf of the Authors (18 Mar 2024)  Manuscript 

Journal article(s) based on this preprint

30 Apr 2024
On the sensitivity of sea ice deformation statistics to plastic damage
Antoine Savard and Bruno Tremblay
The Cryosphere, 18, 2017–2034, https://doi.org/10.5194/tc-18-2017-2024,https://doi.org/10.5194/tc-18-2017-2024, 2024
Short summary
Antoine Savard and Bruno Tremblay
Antoine Savard and Bruno Tremblay

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Latest update: 30 Apr 2024
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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.

Short summary
We include a suitable damage parametrization in the standard viscous-plastic (VP) sea ice model to disentangle its effect from model physics (visco-elastic or elasto-brittle vs. visco-plastic) on its ability to reproduce observed scaling laws of deformation. This study shows that including a damage parametrization in the VP model improves its performance in simulating the statistical behavior of fracture patterns. Therefore, a damage parametrization is a powerful tuning knob.