Articles | Volume 17, issue 6
https://doi.org/10.5194/tc-17-2305-2023
https://doi.org/10.5194/tc-17-2305-2023
Research article
 | 
08 Jun 2023
Research article |  | 08 Jun 2023

Modelling rock glacier ice content based on InSAR-derived velocity, Khumbu and Lhotse valleys, Nepal

Yan Hu, Stephan Harrison, Lin Liu, and Joanne Laura Wood

Data sets

ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost version 2 data products J. Obu, S. Westermann, C. Barboux, A. Bartsch, R. Delaloye, G. Grosse, B. Heim, G. Hugelius, A. Irrgang, A. M. Kääb, C. Kroisleitner, A. Matthes, I. Nitze, C. Pellet, F. M. Seifert, T. Strozzi, U. Wegmüller, M. Wieczorek, and A. Wiesmann http://catalogue.ceda.ac.uk/uuid/1f88068e86304b0fbd34456115b6606f

Swiss Permafrost Monitoring Network Database Swiss Permafrost Monitoring Network (PERMOS) https://doi.org/10.13093/permos-2021-01

Model code and software

InSAR Scientific Computing Environment version 2 (ISCE2) isce-framework https://github.com/isce-framework/isce2/releases/tag/v2.4.2

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Short summary
Rock glaciers are considered to be important freshwater reservoirs in the future climate. However, the amount of ice stored in rock glaciers is poorly quantified. Here we developed an empirical model to estimate ice content in rock the glaciers in the Khumbu and Lhotse valleys, Nepal. The modelling results confirmed the hydrological importance of rock glaciers in the study area. The developed approach shows promise in being applied to permafrost regions to assess water storage of rock glaciers.