Articles | Volume 10, issue 5
https://doi.org/10.5194/tc-10-2241-2016
https://doi.org/10.5194/tc-10-2241-2016
Research article
 | 
27 Sep 2016
Research article |  | 27 Sep 2016

Modeling the spatiotemporal variability in subsurface thermal regimes across a low-relief polygonal tundra landscape

Jitendra Kumar, Nathan Collier, Gautam Bisht, Richard T. Mills, Peter E. Thornton, Colleen M. Iversen, and Vladimir Romanovsky

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Jitendra Kumar on behalf of the Authors (13 May 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (18 May 2016) by Julia Boike
RR by Anonymous Referee #1 (28 May 2016)
RR by Anonymous Referee #3 (04 Jun 2016)
RR by Anonymous Referee #2 (06 Jun 2016)
ED: Reconsider after major revisions (10 Jun 2016) by Julia Boike
AR by Jitendra Kumar on behalf of the Authors (06 Aug 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (14 Aug 2016) by Julia Boike
RR by Anonymous Referee #1 (23 Aug 2016)
ED: Publish subject to minor revisions (Editor review) (03 Sep 2016) by Julia Boike
AR by Jitendra Kumar on behalf of the Authors (09 Sep 2016)  Author's response    Manuscript
ED: Publish as is (09 Sep 2016) by Julia Boike
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Short summary
Microtopography of the low-gradient polygonal tundra plays a critical role in these ecosystem; however, patterns and drivers are poorly understood. A modeling-based approach was developed in this study to characterize and represent the permafrost soils in the model and simulate the thermal dynamics using a mechanistic high-resolution model. Results shows the ability of the model to simulate the patterns and variability of thermal regimes and improve our understanding of polygonal tundra.