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

Related authors

Hysteresis and orbital pacing of the early Cenozoic Antarctic ice sheet
Jonas Van Breedam, Philippe Huybrechts, and Michel Crucifix
Clim. Past, 19, 2551–2568, https://doi.org/10.5194/cp-19-2551-2023,https://doi.org/10.5194/cp-19-2551-2023, 2023
Short summary
Insights into the vulnerability of Antarctic glaciers from the ISMIP6 ice sheet model ensemble and associated uncertainty
Hélène Seroussi, Vincent Verjans, Sophie Nowicki, Antony J. Payne, Heiko Goelzer, William H. Lipscomb, Ayako Abe-Ouchi, Cécile Agosta, Torsten Albrecht, Xylar Asay-Davis, Alice Barthel, Reinhard Calov, Richard Cullather, Christophe Dumas, Benjamin K. Galton-Fenzi, Rupert Gladstone, Nicholas R. Golledge, Jonathan M. Gregory, Ralf Greve, Tore Hattermann, Matthew J. Hoffman, Angelika Humbert, Philippe Huybrechts, Nicolas C. Jourdain, Thomas Kleiner, Eric Larour, Gunter R. Leguy, Daniel P. Lowry, Chistopher M. Little, Mathieu Morlighem, Frank Pattyn, Tyler Pelle, Stephen F. Price, Aurélien Quiquet, Ronja Reese, Nicole-Jeanne Schlegel, Andrew Shepherd, Erika Simon, Robin S. Smith, Fiammetta Straneo, Sainan Sun, Luke D. Trusel, Jonas Van Breedam, Peter Van Katwyk, Roderik S. W. van de Wal, Ricarda Winkelmann, Chen Zhao, Tong Zhang, and Thomas Zwinger
The Cryosphere, 17, 5197–5217, https://doi.org/10.5194/tc-17-5197-2023,https://doi.org/10.5194/tc-17-5197-2023, 2023
Short summary
Modelling the historical and future evolution of six ice masses in the Tien Shan, Central Asia, using a 3D ice-flow model
Lander Van Tricht and Philippe Huybrechts
The Cryosphere, 17, 4463–4485, https://doi.org/10.5194/tc-17-4463-2023,https://doi.org/10.5194/tc-17-4463-2023, 2023
Short summary
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
The Cryosphere, 17, 4315–4323, https://doi.org/10.5194/tc-17-4315-2023,https://doi.org/10.5194/tc-17-4315-2023, 2023
Short summary
Global vs local glacier modelling: a comparison in the Tien Shan
Lander Van Tricht, Harry Zekollari, Matthias Huss, Daniel Farinotti, and Philippe Huybrechts
The Cryosphere Discuss., https://doi.org/10.5194/tc-2023-87,https://doi.org/10.5194/tc-2023-87, 2023
Manuscript not accepted for further review
Short summary

Related subject area

Discipline: Glaciers | Subject: Numerical Modelling
Application of a regularised Coulomb sliding law to Jakobshavn Isbræ, western Greenland
Matt Trevers, Antony J. Payne, and Stephen L. Cornford
The Cryosphere, 18, 5101–5115, https://doi.org/10.5194/tc-18-5101-2024,https://doi.org/10.5194/tc-18-5101-2024, 2024
Short summary
Increasing numerical stability of mountain valley glacier simulations: implementation and testing of free-surface stabilization in Elmer/Ice
André Löfgren, Thomas Zwinger, Peter Råback, Christian Helanow, and Josefin Ahlkrona
The Cryosphere, 18, 3453–3470, https://doi.org/10.5194/tc-18-3453-2024,https://doi.org/10.5194/tc-18-3453-2024, 2024
Short summary
Quantifying the Buttressing Contribution of Sea Ice to Crane Glacier
Richard Parsons, Sainan Sun, G. Hilmar Gudmundsson, Jan Wuite, and Thomas Nagler
EGUsphere, https://doi.org/10.5194/egusphere-2024-1499,https://doi.org/10.5194/egusphere-2024-1499, 2024
Short summary
A new glacier thickness and bed map for Svalbard
Ward van Pelt and Thomas Frank
EGUsphere, https://doi.org/10.5194/egusphere-2024-1525,https://doi.org/10.5194/egusphere-2024-1525, 2024
Short summary
A 3D glacier dynamics–line plume model to estimate the frontal ablation of Hansbreen, Svalbard
José M. Muñoz-Hermosilla, Jaime Otero, Eva De Andrés, Kaian Shahateet, Francisco Navarro, and Iván Pérez-Doña
The Cryosphere, 18, 1911–1924, https://doi.org/10.5194/tc-18-1911-2024,https://doi.org/10.5194/tc-18-1911-2024, 2024
Short summary

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). 
Download
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.