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

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

doi:https://doi.org/10.5194/tc-12-3693-2018

Articles | Volume 12, issue 11

https://doi.org/10.5194/tc-12-3693-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Changing Permafrost in the Arctic and its Global Effects in...

https://doi.org/10.5194/tc-12-3693-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 11

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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Final revised paper (published on 27 Nov 2018)
Preprint (discussion started on 02 Jan 2018)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'review1', Anonymous Referee #1, 19 Jan 2018
RC2: 'Review', Anonymous Referee #2, 30 Jan 2018
AC1: 'Response to comments by Referee #1 and Referee #2; revised manuscript.', Isabelle Gouttevin, 28 Mar 2018

Peer-review completion

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

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.