Articles | Volume 19, issue 12
https://doi.org/10.5194/tc-19-6591-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-19-6591-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Dec 2025
Research article |
| 05 Dec 2025
| 05 Dec 2025
Quantifying permafrost ground ice contents in the Tien Shan and Pamir (Central Asia): a petrophysical joint inversion approach using a geometric mean model
Tamara Mathys
CORRESPONDING AUTHOR
Department of Geosciences, University of Fribourg, Fribourg, Switzerland
Muslim Azimshoev
Aga Khan Agency for Habitat (AKAH), Dushanbe, Tajikistan
Zhoodarbeshim Bektursunov
Central Asian Institute for Applied Geosciences (CAIAG), Bishkek, Kyrgyzstan
Christian Hauck
Department of Geosciences, University of Fribourg, Fribourg, Switzerland
Christin Hilbich
Department of Geosciences, University of Fribourg, Fribourg, Switzerland
Murataly Duishonakunov
Department of Geography, Kyrgyz National University, Bishkek, Kyrgyzstan
Abdulhamid Kayumov
Center for Research of Glaciers of the Academy of Sciences of Tajikistan, Dushanbe, Tajikistan
Nikolay Kassatkin
Central Asian Regional Glaciological Centre under the auspices of UNESCO, Almaty, Kazakhstan
Vassily Kapitsa
Central Asian Regional Glaciological Centre under the auspices of UNESCO, Almaty, Kazakhstan
Leo C. P. Martin
Department of Earth and Planetary Sciences, Aix Marseille Univ., CNRS, IRD, INRAE, CEREGE, Aix-en-Provence, France
Coline Mollaret
Department of Geosciences, University of Fribourg, Fribourg, Switzerland
Hofiz Navruzshoev
Center for Research of Glaciers of the Academy of Sciences of Tajikistan, Dushanbe, Tajikistan
Mountain Societies Research Institute, University of Central Asia, Dushanbe, Tajikistan
Eric Pohl
Department of Geosciences, University of Fribourg, Fribourg, Switzerland
Tomas Saks
Department of Geosciences, University of Fribourg, Fribourg, Switzerland
Intizor Silmonov
Aga Khan Agency for Habitat (AKAH), Dushanbe, Tajikistan
Timur Musaev
Central Asian Institute for Applied Geosciences (CAIAG), Bishkek, Kyrgyzstan
Ryskul Usubaliev
Central Asian Institute for Applied Geosciences (CAIAG), Bishkek, Kyrgyzstan
Martin Hoelzle
Department of Geosciences, University of Fribourg, Fribourg, Switzerland
Model code and software
Quantitative imaging of water, ice and air in permafrost systems through petrophysical joint inversion of seismic refraction and electrical resistivity data (https://github.com/florian-wagner/four-phase-inversion) F. M. Wagner et al. https://doi.org/10.1093/gji/ggz402
Short summary
This study provides a comprehensive geophysical dataset on permafrost in the data-scarce Tien Shan and Pamir mountain regions of Central Asia. It also introduces a novel modeling method to quantify ground ice content across different landforms. The findings indicate that this approach is well suited for characterizing ice-rich permafrost, which is crucial for evaluating future water availability and assessing risks associated with thawing permafrost.
This study provides a comprehensive geophysical dataset on permafrost in the data-scarce Tien...
