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

Jafarov, Elchin E.; Harp, Dylan R.; Coon, Ethan T.; Dafflon, Baptiste; Tran, Anh Phuong; Atchley, Adam L.; Lin, Youzuo; Wilson, Cathy J.

doi:https://doi.org/10.5194/tc-14-77-2020

Articles | Volume 14, issue 1

https://doi.org/10.5194/tc-14-77-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/tc-14-77-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 1

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, Dylan R. Harp, Ethan T. Coon, Baptiste Dafflon, Anh Phuong Tran, Adam L. Atchley, Youzuo Lin, and Cathy J. Wilson

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Final revised paper (published on 15 Jan 2020)
Preprint (discussion started on 15 May 2019)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Reviewer comment to tc-2019-91', Anonymous Referee #1, 07 Jun 2019
- AC1: 'combined response rev1', Elchin Jafarov, 01 Oct 2019
RC2: 'Reviewer comments to the paper "Estimation of soil properties by coupled inversion of electrical resistance, temperature, and moisture content data"', Anonymous Referee #2, 09 Jul 2019
- AC2: 'combined response rev2', Elchin Jafarov, 01 Oct 2019

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 Elchin Jafarov on behalf of the Authors (09 Oct 2019)

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

AR by Elchin Jafarov on behalf of the Authors (22 Nov 2019) Manuscript

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.