Articles | Volume 14, issue 11
https://doi.org/10.5194/tc-14-4039-2020
https://doi.org/10.5194/tc-14-4039-2020
Research article
 | 
16 Nov 2020
Research article |  | 16 Nov 2020

Modelling the evolution of Djankuat Glacier, North Caucasus, from 1752 until 2100 CE

Yoni Verhaegen, Philippe Huybrechts, Oleg Rybak, and Victor V. Popovnin

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Cited articles

Ahouissoussi, N., Neumann, J. E., Srivastava, J. P., Okan, C., and Droogers, P. (Eds.): Reducing the vulnerability of Georgia's agricultural systems to climate change: impact assessment and adaptation options, World Bank Publications, Georgia, 116 pp., 2014. 
Akkemik, Ü, Dagdeviren, N., and Aras, A.: A preliminary reconstruction (A.D. 1635–2000) of spring precipitation using oak tree rings in the western Black Sea region of Turkey, Int. J. Biometeorol., 49, 297–302, https://doi.org/10.1007/s00484--004--0249--8, 2005. 
Akkemik, Ü. and Aras, A.: Reconstruction (1689–1994 AD) of April–August precipitation in the southern part of central Turkey, Int. J. Climatol., 25, 537–548, https://doi.org/10.1002/joc.1145, 2005. 
Alder, J. R. and Hostetler, S. W.: An interactive web application for visualizing climate data, Eos Trans. AGU, 94, 197–198, https://doi.org/10.1002/2013EO220001, 2013. 
Aleynikov, A. A., Zolotarev, E. A., and Popovnin, V. V.: The velocity field of Djankuat Glacier, Data of Glaciological Studies, 87, 169–176, 1999 (in Russian). 
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Short summary
We use a numerical flow model to simulate the behaviour of the Djankuat Glacier, a WGMS reference glacier situated in the North Caucasus (Republic of Kabardino-Balkaria, Russian Federation), in response to past, present and future climate conditions (1752–2100 CE). In particular, we adapt a more sophisticated and physically based debris model, which has not been previously applied in time-dependent numerical flow line models, to look at the impact of a debris cover on the glacier’s evolution.
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