The Cryosphere
The Cryosphere
TC
Articles | Volume 14, issue 1
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

Viewed

Total article views: 2,536 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,578 870 88 2,536 97 94
  • HTML: 1,578
  • PDF: 870
  • XML: 88
  • Total: 2,536
  • BibTeX: 97
  • EndNote: 94
Views and downloads (calculated since 15 May 2019)
Cumulative views and downloads (calculated since 15 May 2019)

Viewed (geographical distribution)

Total article views: 2,536 (including HTML, PDF, and XML) Thereof 2,243 with geography defined and 293 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 17 Nov 2024
Download
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.
Read more