Articles | Volume 17, issue 10
https://doi.org/10.5194/tc-17-4315-2023
https://doi.org/10.5194/tc-17-4315-2023
Brief communication
 | 
11 Oct 2023
Brief communication |  | 11 Oct 2023

Brief communication: Measuring and modelling the ice thickness of the Grigoriev ice cap (Kyrgyzstan) and comparison with global datasets

Lander Van Tricht, Chloë Marie Paice, Oleg Rybak, and Philippe Huybrechts

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Manuscript not accepted for further review
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Cited articles

Andreassen, L. M., Huss, M., Melvold, K., Elvehøy, H., and Winsvold, S. H.: Ice thickness measurements and volume estimates for glaciers in Norway, J. Glaciol., 61, 763–775, https://doi.org/10.3189/2015JoG14J161, 2015. 
Arkhipov, S. M., Mikhalenko, V. N., Kunakhovich, M. G., Dikikh, A. N., and Nagornov, O. V.: Termicheskii 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], Materialy Glyatsiologicheskikh Issledovaniy (Data of Glaciological Studies), 96, 77–83, 2004 (in Russian with English summary). 
Binder, D., Brückl, E., Roch, K. H., Behm, M., Schöner, W., and Hynek, B.: Determination of total ice volume and ice-thickness distribution of two glaciers in the Hohe Tauern region, Eastern Alps, from GPR data, Ann. Glaciol., 50, 71–79, https://doi.org/10.3189/172756409789097522, 2009. 
Clarke, G. K., Berthier, E., Schoof, C. G., and Jarosch, A. H.: Neural networks applied to estimating subglacial topography and glacier volume, J. Climate, 22, 2146–2160, https://doi.org/10.1175/2008JCLI2572.1, 2009. 
Dikikh, A. N.: Temperature regime of flat-top glaciers (using Grigoriev as an Example) – Glyatsiol, Issledovaniya na Tyan-Shane, Frunze, N., 11, 32–35, 1965 (in Russian). 
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Short summary
We performed a field campaign to measure the ice thickness of the Grigoriev ice cap (Central Asia). We interpolated the ice thickness data to obtain an ice thickness distribution representing the state of the ice cap in 2021, with a total volume of ca. 0.4 km3. We then compared our results with global ice thickness datasets composed without our local measurements. The main takeaway is that these datasets do not perform well enough yet for ice caps such as the Grigoriev ice cap.