Articles | Volume 16, issue 10
https://doi.org/10.5194/tc-16-4513-2022
https://doi.org/10.5194/tc-16-4513-2022
Research article
 | 
26 Oct 2022
Research article |  | 26 Oct 2022

Thermal regime of the Grigoriev ice cap and the Sary-Tor glacier in the inner Tien Shan, Kyrgyzstan

Lander Van Tricht and Philippe Huybrechts

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Cited articles

Aizen, V. B., Aizen, E. M., and Melack, J. M.: Climate, Snow Cover, Glaciers, and Runoff in the Tien Shan, Central Asia, J. Am. Water Resour. As., 31, 1113–1129, https://doi.org/10.1111/j.1752-1688.1995.tb03426.x, 1995. 
Aizen, V. B., Kuzmichenok, V., Surazakov, A., and Aizen, E. M.: Glacier changes in the central and northern Tien Shan during the last 140 years based on surface and remote-sensing data, Ann. Glaciol., 43, 202–213, https://doi.org/10.3189/172756406781812465, 2006. 
Arkhipov, S. M., Mikhalenko, V. N., Kunakhovich, M. G., Dikikh, A. N., and Nagornov, O. V.: Termich eskii rezhim, usloviia l'doobrazovaniia i akkumulyatsiia na ladnike Grigor'eva (Tyan'-Shan') v 1962–2001 gg. [Thermal regime, ice types and accumulation in Grigoriev Glacier, Tien Shan, 1962–2001], Mater. Glyatsiol. Issled., 96, 77–83, 2004 (in Russian with English summary). 
Aschwanden, A., Bueler, E., Khroulev, C., and Blatter, H.: An enthalpy formulation for glaciers and ice sheets, J. Glaciol., 58, 441–457, https://doi.org/10.3189/2012JoG11J088, 2012. 
Bagdassarov, N., Batalev, V., and Egorova, V.: State of lithosphere beneath Tien Shan from petrology and electrical conductivity of xenoliths, J. Geophys. Res.-Sol. Ea., 116, B01202, https://doi.org/10.1029/2009JB007125, 2011. 
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Short summary
We examine the thermal regime of the Grigoriev ice cap and the Sary-Tor glacier, both located in the inner Tien Shan in Kyrgyzstan. Our findings are important as the ice dynamics can only be understood and modelled precisely if ice temperature is considered correctly in ice flow models. The calibrated parameters of this study can be used in applications with ice flow models for individual ice masses as well as to optimise more general models for large-scale regional simulations.
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