Articles | Volume 17, issue 12
https://doi.org/10.5194/tc-17-5417-2023
https://doi.org/10.5194/tc-17-5417-2023
Research article
 | 
19 Dec 2023
Research article |  | 19 Dec 2023

Temporospatial variability of snow's thermal conductivity on Arctic sea ice

Amy R. Macfarlane, Henning Löwe, Lucille Gimenes, David N. Wagner, Ruzica Dadic, Rafael Ottersberg, Stefan Hämmerle, and Martin Schneebeli

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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-2023-83', Anonymous Referee #1, 16 Feb 2023
  • RC2: 'Comment on egusphere-2023-83', Anonymous Referee #2, 04 Apr 2023

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) (17 Aug 2023) by Ruth Mottram
AR by Amy Macfarlane on behalf of the Authors (18 Aug 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (06 Sep 2023) by Ruth Mottram
AR by Amy Macfarlane on behalf of the Authors (27 Sep 2023)

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Amy Macfarlane on behalf of the Authors (27 Nov 2023)   Author's adjustment   Manuscript
EA: Adjustments approved (05 Dec 2023) by Ruth Mottram
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Short summary
Snow acts as an insulating blanket on Arctic sea ice, keeping the underlying ice "warm", relative to the atmosphere. Knowing the snow's thermal conductivity is essential for understanding winter ice growth. During the MOSAiC expedition, we measured the thermal conductivity of snow. We found spatial and vertical variability to overpower any temporal variability or dependency on underlying ice type and the thermal resistance to be directly influenced by snow height.