Articles | Volume 14, issue 1
The Cryosphere, 14, 77–91, 2020
https://doi.org/10.5194/tc-14-77-2020
The Cryosphere, 14, 77–91, 2020
https://doi.org/10.5194/tc-14-77-2020

Research article 15 Jan 2020

Research article | 15 Jan 2020

Estimation of subsurface porosities and thermal conductivities of polygonal tundra by coupled inversion of electrical resistivity, temperature, and moisture content data

Elchin E. Jafarov et al.

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Interactive discussion

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
ED: Publish subject to revisions (further review by editor and referees) (08 Oct 2019) by Christian Hauck
AR by Anna Wenzel on behalf of the Authors (10 Oct 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (10 Oct 2019) by Christian Hauck
RR by Anonymous Referee #1 (25 Oct 2019)
RR by Christian Hauck (18 Nov 2019)
ED: Publish subject to technical corrections (18 Nov 2019) by Christian Hauck
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Short summary
Improved subsurface parameterization and benchmarking data are needed to reduce current uncertainty in predicting permafrost response to a warming climate. We developed a subsurface parameter estimation framework that can be used to estimate soil properties where subsurface data are available. We utilize diverse geophysical datasets such as electrical resistance data, soil moisture data, and soil temperature data to recover soil porosity and soil thermal conductivity.