Mathematical modeling of the surface ice flow on Elbrus

О.О. Rybak1,2,3Е.А. Rybak2, T.N. Postnikova1

1Institute of Water Problems or RAS, RF, Moscow, Gubkin St., 3

2Institute of Natural and Technical Systems, RF, Sevastopol, Lenin St., 28.

3Кh.M. Berbekov Kabardino-Balkarian State University, RF, Nalchik, Chernyshevsky St., 173

4M.V. Lomonosov Moscow State University, RF, Moscow, Leninskiye Gory, 1

E-mail: o.o.rybak@gmail.com

 

DOI: 10.33075/2220-5861-2025-4-116-127

UDC 551.89 551.583.7

EDN https://elibrary.ru/vqwmnt

Abstract:

The Elbrus Glacier Complex, consisting of more than two dozen glaciers, is the largest center of mountain glaciation in the Caucasus. The glaciers that comprise the complex significantly influence the formation of river runoff regime in the upper reaches of the Terek and Kuban rivers and, thus, indirectly affect water consumption and, more generally, economic activities in Northern Caucasus. Although numerous studies on various aspects of the dynamics of the Elbrus Glacier Complex have been published over the past half-century, until recently, the main approaches to glacier modeling were primarily focused on its recent past and present. Scarce predictive calculations indicate that, under moderate and extreme climate scenarios, the Elbrus glaciers will remain the only significant glaciation center in the Caucasus by the end of this century. Implementation of complex 3-D models will allow us to reveal the future configuration of the glaciers, the expected dynamics of their front retreat, and the timing and location of the formation of proglacial lakes in relief depressions. This study presents the results of the first stage of modeling the evolution of Elbrus glaciers using a complex 3-D thermomechanical model. Numerical experiments are aimed at calculating variants of surface flow velocity fields and the values ​​of key parameters in the glacier dynamics equations.

Keywords: Elbrus, mountain glacier, mathematical model, numerical experiments, ice flow

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REFERENCES

  1. Zolotarev E.A. and Kharkovetz E.G. Evolyutsia oledeneniya Elbrusa posle malogo lednikovogo perioda (Evolution of Elbrus glaciation after the Little Ice Age). Led i sneg, 2012, Vol. 52, No. 2, pp. 15–22.
  2. Lurye P.M. and Panov V.D. Vliyaniye izmeneniya klimata na sovremennoye olodeneniye I stok rek severnogo sklona Bol’shogo Kavkaza (Impact of climate change on modern glaciation and river runoff of the northern slope of the Greater Caucasus). Ustoychivoye razvitiye gornikh territoriy, 2013, No. 2, pp. 70–77.
  3. Kutuzov S., Lavrentiev I., Smirnov A., Nosenko G., and Petrakov D. Volume changes of Elbrus glaciers from 1997 to 2017. Frontiers in Earth Science, 2019, Vol. 7 (153), 16 p. https://doi.org/10.3389/feart.2019.00153.
  4. Holobâcă I.-H. Recent retreat of the Elbrus glacier system. Journal of Glaciology, 2016. Vol. 62(231), pp. 94–102. doi: 10.1017/jog.2016.15
  5. Elagina N., Rets E., Korneva I., Toropov P., and Lavrentiev I. Simulation of mass balance and glacial runoff of Mount Elbrus from 1984 to 2022. Hydrological Sciences Journal, 2025, Vol. 70(11), pp. 1929–1949. https://doi.org/10.1080/02626667.2025.2516080
  6. Lavrentiev I.I., Petrakov D.A., Kutuzov S.S., Kovalenko N.V., and Smirnov A.M. Otsenka potentsiala razvitiya lednikovykh ozior na Tsentralnom Kavkaze (Assessment of glacier lakes development potential in the Central Caucasus).Led i sneg, 2020, Vol. 60, No. 3, pp 343–360.https://doi.org/10.31857/S2076673420030044
  7. Postnikova T.N., Rybak O.O., Gubanov A.S., Zekollari H., and Huss M. Matematicheskoye modelirovaniye lednikov Elbrusa v XXI v. Chast’ 2. Prognoz evolyutsii lednikov I formirovaniya ozior pri raznykh stsenariyakh SSP (Mathematical modeling of Elbrus glaciers in the 21st century. Part 2. Forecasting glacier evolution and lake formation under various SSP scenarios).Led i sneg, 2024, Vol. 64, No. 3, pp. 326–344. https://doi.org/10.31857/S2076673424030021
  8. Chernomorets S.S., Petrakov D.A., Aleynikov A.A., Bekkiev M.Y., Viskhadzhieva K.S., Dokukin M.D., Kalov R.K., Kidyaeva V.M., Krylenko V.V., Krylenko I.V., Krylenko I.N., Rets E.P., Savernyuk E.A., and Smirnov A.M. Proryv ozera Bashkara (Tsentralny Kavkaz, Rossiya) 1 sentiabria 2017 (The outburst of Bashkara glacier lake (Central Caucasus, Russia) on September 1, 2017). Kriosfera Zemli, 2028, Vol. XXII, No. 2, pp. 70–80. doi: 10.21782/KZ1560-7496-2018-2(70-80)
  9. Chernomorets S.S., Krylenko I.V., Krylenko I.N., Petrakov D.A., Tutubalina O.V., Shahmina M.S., and Evans S.D. Lednikovye oziora na Kavkaze: opasnost’ proryvov I opyt prognoza (Glacial lakes at the Caucasus: menace of outbursts and experience in prediction). Snezhnye laviny, seli i otsenka riska, 2009, No. 2, pp. 84–94.
  10. Fürst J.J., Rybak O., Goelzer H., De Smedt B., de Groen P., and Huybrechts P. Improved convergence and stability properties in a three-dimensional higher-order ice sheet model. Geoscientific Model Development, 2011, Vol. 4, pp. 1133–1149. https://doi.org/10.5194/gmd-4-1133-2011
  11. Rybak О.О., Rybak Е.А., Kutuzov S.S., Lavrentiev I.I., and Morozova P.А. Kalibrovka matematicheskoy modeli dinamiki lednika Marukh, Zapadnyy Kavkaz (Calibration of a mathematical model of Marukh Glacier, Western Caucasus).Led i sneg, 2015, Vol. 55, No. 2, pp. 9–20.https://doi.org/10.15356/2076-6734-2015-2-9-20
  12. Rybak О.О., Rybak Е.А., Korneva I.А., and Popovnin V.V. Matematicheskoye modelirovaniye evolyutsii lednika Djankuat v sovremennykh klimaticheskikh usloviyakh (Mathematical modeling of Djankuat glacier in modern climatic conditions). Ustoychivoye razvitiye gornikh territoriy, 2018, Vol. 10, No. 4(38), pp. 533–543. doi: 10.21177/1998-4502-2018-10-4-533-543
  13. Van Tricht L. and Huybrechts P. Modelling the historical and future evolution of six ice masses in the Tien Shan, Central Asia, using a 3D ice-flow model. The Cryosphere, 2023, Vol. 17, pp. 4463–4485. https://doi.org/10.5194/tc-17-4463-2023
  14. Van Tricht L., Zekollari H., Huss M., Rybak O., Satylkanov R., and Farinotti D. Modeling the Impact of Mining Activities on the Dynamics and Evolution of a Kyrgyz Glacier. Journal of Geophysical Research: Earth Surface,2025, Vol. 130(8),16 p., e2025JF008370. doi:10.1029/2025JF008370
  15. Shahgedanova M., Afzal M., Hagg W., Kapitsa V., Kasatkin N., Mayr E., Rybak O., Saidaliyeva Z., Severskiy I., Usmanova Wade A., Yaitskaya N., and Zhumabayev D. Emptying water towers? Impacts of future climate and glacier change on river discharge in the Northern Tien Shan, Central Asia.Water,2020, Vol. 12(3), 627 p. https://doi.org/10.3390/w12030627
  16. Ledniki i klimat Elbrusa (Glaciers and climate of Elbrus) (ed. by V.N. Mikhalenko). Moscow, Saint-Petersburg: Nestor-History, 2020, 372 p.
  17. Wen M. and Wang T. Review of SAR imaging geodesy for glacier velocity monitoring. Geodesy and Geodynamics, 2025, Vol. 16, pp. 262–274. https://doi.org/10.1007/s10668-024-04604-7
  18. Millan R., Mouginot J., Rabatel A., and Morlighem M. Ice velocity and thickness of the world’s glaciers. Nature Geoscience, 2022, Vol. 15, pp. 124–129. https://doi.org/10.1038/s41561-021-00885-z
  19. Pattyn F. A new three‐dimensional higher‐order thermomechanical ice sheet model: Basic sensitivity, ice stream development, and ice flow across subglacial lakes. Journal of Geophysical Research: Solid Earth, 2003, Vol. 108 (B8), 15 p. https://doi.org/10.1029/2002JB002329
  20. Mikhalenko V.N., Kutuzov S.S., Nagornov O.V., Tuflin S.A., Lavrentiev I.I., Marchenko S.A., and Okopnyy V.I. Stratigraficheskoe stroyeniye i temperaturnyy rezhhim firnovo-ledianoy tolschi na Zapadnom plato Elbrusa (Stratigraphy and temperature regime of the firn-ice layer at the Western plateaue of Elbrus). Ekstremalnyje prirodnye yavleniya i katastrofy, 2011,Vol. 2, pp. 180–188.
  21. Mikhalenko V., Sokratov S., Kutuzov S., Ginot P., Legrand M., Preunkert S., Lavrentiev I., Kozachek A., Ekaykin A., Faïn X., Lim S., Schotterer U., Lipenkov V., and Toropov P. Investigation of a deep ice core from the Elbrus western plateau, the Caucasus, Russia. The Cryosphere, 2015, Vol. 9(6), pp. 2253–2270. doi: 10 .5194/ tc-9-2253-2015
  22. Hruby K., Gerbi C., Koons P., Campbell S., Martín C., and Hawley R. The impact of temperature and crystal orientation fabric on the dynamics of mountain glaciers and ice streams. Journal of Glaciology, 2020, Vol. 66(259), pp. 755–765.  https://doi.org/10.1017/jog.2020.44
  23. Roldán-Blasco J. P., Gilbert A., Piard L., Gimbert F., Vincent C., Gagliardini O., Togaibekov A., Walpersdorf A., and Maier N. Creep enhancement and sliding in a temperate, hard-bedded alpine glacier. The Cryosphere,2025, Vol. 19(1), pp. 267–282. https://doi.org/10.5194/tc-19-267-2025
  24. Weertman J. The theory of glacier sliding. Journal of Glaciology, 1964, Vol. 5(39), pp. 287–303.
  25. Zekollari H., Huss M., and Farinotti D. Modelling the future evolution of glaciers in the European Alps under the EURO-CORDEX RCM ensemble. The Cryosphere, 2019, Vol. 13(4), pp. 1125–1146. https://doi.org/10.5194/tc-13-1125-2019
  26. Postnikova T., Rybak O., Gubanov A., Zekollari H., Huss M., and Shahgedanova M. Debris cover effect on the evolution of Northern Caucasus glaciation in the 21st century. Frontiers in Earth Science, 2023, Vol. 11, 22 p. doi: 10.3389/feart.2023.1256696
  27. Huybrechts P. The Antarctic ice sheet and environmental change: a three-dimensional modeling study. Berichte zur Polarforschung, Alfred-Wegener-Institut   für Polar- und  Meeresforschung,  1992, No. 92, 241 p.
  28. Mohanty A., Srivastava P.K., and Aggarwal A. Review of glacier velocity and facies characterization techniques using multi-sensor approach. Environment, Development and Sustainability, 2025, Vol. 27, pp. 17753–17804. https://doi.org/10.1007/s10668-024-04604-7
  29. Nanni U., Scherler D., Ayoub F., Millan R., Herman F., and Avouac J.-P. Climatic control on seasonal variations in mountain glacier surface velocity. The Cryosphere, 2023, Vol. 17, pp. 1567–1583. https://doi.org/10.5194/tc-17-1567-2023
  30. Troilo F., Dematteis N., and Zucca F. Monthly velocity and seasonal variations of the Mont Blanc glaciers derived from Sentinel-2 between 2016 and 2024. The Cryosphere, 2024, Vol. 18, pp. 3891–3909. https://doi.org/10.5194/tc-18-3891-2024

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