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,Muslim Azimshoev,Zhoodarbeshim Bektursunov,Christian Hauck,Christin Hilbich,Murataly Duishonakunov,Abdulhamid Kayumov,Nikolay Kassatkin,Vassily Kapitsa,Leo C. P. Martin,Coline Mollaret,Hofiz Navruzshoev,Eric Pohl,Tomas Saks,Intizor Silmonov,Timur Musaev,Ryskul Usubaliev,and Martin Hoelzle
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...