Articles | Volume 12, issue 11
https://doi.org/10.5194/tc-12-3693-2018
https://doi.org/10.5194/tc-12-3693-2018
Research article
 | 
27 Nov 2018
Research article |  | 27 Nov 2018

Observation and modelling of snow at a polygonal tundra permafrost site: spatial variability and thermal implications

Isabelle Gouttevin, Moritz Langer, Henning Löwe, Julia Boike, Martin Proksch, and Martin Schneebeli

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Isabelle Gouttevin on behalf of the Authors (02 May 2018)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (17 Sep 2018) by Christian Hauck
RR by Anonymous Referee #2 (18 Sep 2018)
RR by Anonymous Referee #1 (20 Sep 2018)
ED: Publish as is (03 Oct 2018) by Christian Hauck
AR by Isabelle Gouttevin on behalf of the Authors (12 Oct 2018)
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Short summary
Snow insulates the ground from the cold air in the Arctic winter, majorly affecting permafrost. This insulation depends on snow characteristics and is poorly quantified. Here, we characterize it at a carbon-rich permafrost site, using a recent technique that retrieves the 3-D structure of snow and its thermal properties. We adapt a snowpack model enabling the simulation of this insulation over a whole winter. We estimate that local snow variations induce up to a 6 °C spread in soil temperatures.