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The Cryosphere An interactive open-access journal of the European Geosciences Union
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Volume 11, issue 5
The Cryosphere, 11, 2089–2109, 2017
https://doi.org/10.5194/tc-11-2089-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
The Cryosphere, 11, 2089–2109, 2017
https://doi.org/10.5194/tc-11-2089-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 06 Sep 2017

Research article | 06 Sep 2017

Coupled land surface–subsurface hydrogeophysical inverse modeling to estimate soil organic carbon content and explore associated hydrological and thermal dynamics in the Arctic tundra

Anh Phuong Tran et al.
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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 Anh Phuong tran on behalf of the Authors (14 May 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (16 May 2017) by Julia Boike
RR by Anonymous Referee #1 (29 May 2017)
RR by Anonymous Referee #2 (14 Jun 2017)
ED: Reconsider after major revisions (16 Jun 2017) by Julia Boike
AR by Anna Mirena Feist-Polner on behalf of the Authors (24 Jul 2017)  Author's response
ED: Publish as is (04 Aug 2017) by Julia Boike
Publications Copernicus
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Short summary
Soil organics carbon (SOC) and its influence on terrestrial ecosystem feedbacks to global warming in permafrost regions are particularly important for the prediction of future climate variation. Our study proposes a new surface–subsurface, joint deterministic–stochastic hydrological–thermal–geophysical inversion approach and documents the benefit of including multiple types of data to estimate the vertical profile of SOC content and its influence on hydrological–thermal dynamics.
Soil organics carbon (SOC) and its influence on terrestrial ecosystem feedbacks to global...
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