Simulation and reconstruction of parameters of streamflow and glacier mass balance in the Northern Caucasus


https://doi.org/10.15356/2076-6734-2014-3-16-30

Full Text:




Abstract

The work was aimed at numerical modeling of spatial-temporal variability of the river Terek seasonal (April to September) streamflow characteristics and long-term fluctuations of components of annual glacier mass balances in this basin and on the adjacent territories. Mass balance of glaciers Djankuat and Garabashi was calculated. Simulation was performed by means of stochastic modeling and discrete data presenting fields of main meteorological parameters (precipitation, air temperature and humidity) having effect on the streamflow. Realization of this approach is complicated by the fact that spatial representativeness of hydrological and meteorological sites are not corresponding one to another. Data on the runoff is clearly related to the total drainage area closed by a gauging station. And for this data we study a relationship with meteorological parameters which are measured at a non-regular observational network whose spatial representativeness is unknown. These stations are generally located beyond the area under investigation (Fig. 2). Similar problem exists when we analyze a relationship between components of the mass balance of individual glaciers (Djankuat and Garabashi) and the above climate characteristics measured at some stations located on the whole Caucasus territory. The same takes place when long-term indices of width and density of tree annual rings obtained in upper reaches of the river Kuban’ are used for analysis of variations of the runoff and the glacier mass balance in the river Terek basin located at a distance of 100-150 km from the Kuban’ dendrologic sites.

To solve the problem we used a wide number of factors which directly (various information about the climate) or indirectly (indices of the climate dryness, wood ring characteristics) characterize conditions of formation of annual and seasonal river runoff and components of glacier mass balance in the North Caucasus. Use of all obtained information made possible the following results: a) new formulas for the calculation of seasonal runoff of the Terek river at the seven gauging stations for 1901–2010 years were derived and verified with independent data; b) significance of various arguments in these formulas was assessed to describe variability of function; c) for the first time relationships between the equilibrium line altitude (ELA), the index of area of accumulation (AAR), and components of the mass balance of the glaciers Djankuat and Garabashi were obtained; d) a technique for regional calculation of average accumulation on these glaciers was developed by using data on ablation and ELA.


About the Author

V. G. Konovalov
Institute of Geography, Russian Academy of Sciences, Moscow
Russian Federation


References

1. Borovikova L.N., Denisov Y.M., Trofimova, E.B., Shentsis I.D. Mathematical modeling of flow process for mountain rivers. Trudy SANIGMI. Proc. of the Central Asian Hydrometeoroogical Institute. 1972; 61 (76): 150 p. [In Russian].

2. Vazhnov A.N. Analiz i prognoz stoka rek Kavkaza. Analysis and forecast of runoff Caucasus. Moscow: Hydrometeoizdat, 1966: 275 p. [In Russian].

3. Vinogradov Y.B. Matematicheskoe modelirovanie protsessov formirovaniya stoka. Mathematical modeling of river runoff formation. Leningrad: Hydrometeoizdat, 1988: 312 p. [In Russian].

4. . VNIIGMI-MCD. Spetsializirovannye massivy dlya klimaticheskikh issledovaniy. Specialized data for climate research. http://aisori.meteo.ru/ClimateR

5. Gosudarstvennyi vodnyi kadastr. Gosudarstvennyi Vodnyi Kadastre, 1997–2007. Ezhegodnye dannye o regime i resursakh poverkhnostnykh vod sushi. Annual data on the regime and resources of surface waters. Pt. 1. V. 1 (26). Rostov-on-Don, 2000–2009. [In Russian].

6. Dolgova E.A. Reconstruction of hydrometeorological conditions in the North Caucasus by dendrochronological data for the period 1800-2005 years. Ph. D. Thesis. Moscow: Institute of Geography RAS, 2011: 24 p. [In Russian].

7. Dolgova E.A., Solomina O.N. The first quantitative reconstruction of temperature of the warm period in the Caucasus by dendrochronological data. Doklady Akademii Nauk. Proc. of the Russian Academy of Sciences. 2010; 431 (2): 1–5. [In Russian].

8. Dolgova E.A., Matskovskiy V.V., Solomina O.N., Rototaeva O.V., Nosenko G.A., Khmelevskoy I.F. Reconstruction of glacier Garabashi mass balance (1800–2005 years) from dendrochronological data. Led i Sneg. Ice and Snow. 2013; 1 (121): 34–42. [In Russian].

9. Dyurgerov M.B. Monitoring balansa massy gornykh lednikov. Monitoring the mass balance of glaciers. Moscow: Nauka, 1993: 124 p. [In Russian].

10. Efremov Y.V., Panov V.D., Lurie P.M., Il'ichev Y.G., Panova S.V., Lutkov D.A. Orografiya, oledenenie, klimat Bol’shogo Kavkaza: Opyt kompleksnoy kharakteristiki i vzaimosvyazey. Orography, glaciation, climate of the Great Caucasus: Experience the complex characteristics and relationships. [In Russian]. Krasnodar: Kuban State University, 2007: 337 p.

11. Konovalov V.G. Tayanie i stok s lednikov v basseynakh rek Sredney Aziii. Melting and runoff from glaciers in the basins of Central Asia. Leningrad: Hydrometeoizdat, 1985: 237 p. [In Russian].

12. Konovalov V.G., Matskovskiy V.V. Regionalization and regression analysis of air temperature and precipitation in global climate database. Sovremennye problem distantsionnogo zondirovaniya Zemli iz kosmosa. Modern problems of remote sensing of the Earth from space. 2011; 8 (3): 283–289. [In Russian].

13. Konovalov V.G., Maksimova O.E. Reconstruction and prediction of water balance on dendrochronological data in the basin of Naryn river (Kyrgyzstan). Led i Sneg. Ice and Snow. 2012, 3 (119): 87–98. [In Russian].

14. Kuchment L.S., Gelfan A.N. Dinamiko-stokhasticheskie modeli formirovaniya rechnogo stoka. Dynamic-stochastic model of river flow. Moscow: Nauka, 1993: 101 p. [In Russian].

15. Lurie P.M. Vodnye resursy i vodnyi balans Kavkaza. Water resources and water balance in the Caucasus. St.-Petersburg: Hydrometeoizdat, 2002: 506 p. [In Russian].

16. Matskovskiy V.V., Dolgova E.A., Solomina O.N. Application of dendrochronological data for reconstruction Teberda river runoff for 1850–2005 years. Led i Sneg. Ice and Snow. 2011; 1 (113): 119–123. [In Russian].

17. Melnikova T.N., Komlev A.M. Vodonosnost’ rek Severo-zapadnogo Kavkaza. River water flows in the Northwest Caucasus. Maikop: "Quality", 2003: 130 p. [In Russian].

18. Nosenko G.A., Khromova T.E., Rototaeva O.V., Shahgedanova M.V. Reaction glaciers of the Central Caucasus in 2001–2010 to changes in temperature and precipitation. Led i Sneg. Ice and Snow. 2013, 1 (121): 26–33 . [In Russian].

19. Panov V.D. Evolutsiya sovremennogo oledeneniya Kavkaza. The evolution of modern glaciation of the Caucasus. St.-Petersburg: Hydrometeoizdat, 1993: 431 p. [In Russian].

20. Rototaeva O.V., Tarasova L.N. Reconstruction of glacier Garabashi mass balance over the last century. Materialy Glyatsiologicheskikh Issledovaniy. Data of Glaciological Studies. 2000, 88: 16–26. [In Russian].

21. Becker A., Finger P., Meyer-Christoffer A., Rudolf B., Schamm K., Schneider U., Ziese M. Global Precipitation Climatology Centre, Deutscher Wetterdienst, Offenbach, Germany, in Earth System Science Data. doi: http://dx.doi.org/10.5194/essd-5-71-2013.

22. Bodo B.A. Monthly Discharges for 2400 Rivers and Streams of the former Soviet Union [FSU]. July, 2000.

23. Chong-yu Xu. Hydrologic Models. Uppsala University, Department of Earth Sciences and Hydrology, 2002: 158 p.

24. Cook E.R., Anchukaitis K.J., Buckley B.M., D’Arrigo R.D., Jacoby G.C., Wright W.E. Monsoon Asia Drought Atlas (MADA). IGBP PAGES/World Data Center for Paleoclimatology Data Contribution Series # 2010-037. NOAA/NCDC Paleoclimatology Program. Boulder CO. USA, 2010.

25. Dai A., K. Trenberth E., Qian T. A global data set of Palmer Drought Severity Index for 1870-2002: Relationship with soil moisture and effects of surface warming. Journ. of Hydrometeorology. 2004; 5: 1117–1130.

26. Dyurgerov M.B., Meier M.F. Glaciers and the changing Earth system: A 2004 snapshot. INSTAAR, University of Colorado at Boulder. Boulder, Colorado. Occasional Paper, №. 58. 2005: 119 p.

27. Ekstrom V., Jones P.D., Fowler H.J., Lenderink G., Buishand T.A., Conway D. Regional climate model data used within the SWURVE project 1: projected changes in seasonal patterns and estimation of PET. Hydrol. Earth Syst. Sci. 2007; 11 (3): 1069–1083.

28. Fluctuation of Glaciers 1959–2012. Paris – Zurich, IAHS (ICSI) – UNESCO, 1967–2013.

29. Former Soviet Union Monthly Precipitation Archive, 1891–1993. – NSIDC-0059. 1998. Boulder, USA. http://www-nsidc.colorado.edu/.

30. Glacier Mass Balance Bulletin (MBB). IAHS (ICSI) –UNEP–UNESCO, Zurich.1991–2011. № 1–11.

31. Global Historical Climatological Network Database. GHCN, Version 2. 1999. ftp://www.ncdc.noaa.gov/

32. Harris I., Jones P.D., Osborn T.J., Lister D.H. Updated high-resolution grids of monthly climatic observations – the CRU TS3. 10 dataset. Journ. of Climatology. 2012; doi:10.1002/joc.3711.

33. Heiskanen J., Kajuutti K., Jackson M., Elvehøy H., Pellikka P. Assessment of glaciological parameters using Landsat satellite data in Svartisen, Northern Norway. Proc. of EARSeL-LISSIG-Workshop Observing our Cryosphere from Space, Bern, March 11–13, 2002: 34–42.

34. Klok E.J., Klein Tank A.M.G. Updated and extended European dataset of daily climate observations. Journ. of Climatology. 2008. Published online in Wiley Inter Science www.interscience.wiley.com. doi: 10.1002/joc.1779.

35. Palmer W.C. Meteorological Drought. US Department of Commerce, Washington DC. Research Paper, 45. 1965: 65 p.

36. Pelikka P., Rees W.G. Remote Sensing of Glaciers. Techniques for Topographic, Spatial and Thematic Mapping of Glaciers. Taylor & Francis Group, London, UK. 2010: 350 p.

37. Willmott C.J., Matsuura K. Smart Interpolation of Annually Averaged Air Temperature in the United States. Journ. of Applied Meteorology. 1995; 34: 2577–2586.

38. Yatagai A., Kamiguchi K., Arakawa O., Hamada A., Yasutomi N, Kitoh A. APHRODITE: constructing a long-term daily gridded precipitation dataset for Asia based on a dense network of rain gauges. BAMS. 2012/ doi:10.1175/BAMS-D-11-00122.1.


Supplementary files

For citation: Konovalov V.G. Simulation and reconstruction of parameters of streamflow and glacier mass balance in the Northern Caucasus. Ice and Snow. 2014;54(3):16-30. https://doi.org/10.15356/2076-6734-2014-3-16-30

Views: 978

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2076-6734 (Print)
ISSN 2412-3765 (Online)