Ablation measurement and modeling on the Sygyktinsky Glacier (the Kodar Ridge)

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High-resolution data from an automatic weather station (for 45 days in July–August 2021) installed at the level of the perrenial snowline of the Sygyktinsky Glacier (Kodar Ridge, south of the Eastern Siberia) were used to simulate ablation with daily resolution. Ablation was measured conventionally (using snow stakes and ultrasonic sensor) and calculated basing on a surface heat balance (SHB). The average and total values of measured and calculated ablation are in a good agreement with each other, while daily fluctuations in the ablation may differ due to changes in the surface density. It was found that the calculation of ablation based on thermal balance is the most accurate and physically justified. The average magnitude of energy spent on melting the glacier was 81 W/m2. The greatest contribution to melting is made by the radiation balance (70 W/m2, 86%), and especially by the shortwave radiation balance (76 W/m2, 94%). The long-wave radiation balance was slightly negative (–7 W/m2) that means that the glacier was losing heat. The turbulent fluxes of latent and sensible heat were positive on all days, but their total contribution was insignificant (10 W/m2, 13% of the melting energy). The reason for the low values of turbulent heat is the weak wind speeds which are typical for the Kodar region in summer. Significant statistical correlations of ablation with the cloudiness, precipitation, atmospheric pressure, air temperature and relative humidity were found. The relationship of the melting rate with meteorological parameters is controlled mainly by the short-wave radiation balance, and not by the turbulent heat flows. Two the T-index models (regression and “degree-day” ones) were tested using the meteorological data. Both models reproduce the mean and total ablation well (deviation ≤ 9%), but the daily fluctuations in ablation are simulated with significant error (standard error of about 50%). The use of different “degree-day factor” (DDF) coefficients for snow and ice allows improving the model accuracy up to 44%. The T-index models best estimate ablation for snow surface (standard error ≤26%), and they may be improved by taking into account shortwave radiation and weather conditions.

作者简介

E. Osipov

Limnological Institute, Siberian Branch of RAS

编辑信件的主要联系方式.
Email: eduard@lin.irk.ru
俄罗斯联邦, Irkutsk

O. Osipova

V.B. Sochava Institute of Geography Siberian Branch of RAS

Email: eduard@lin.irk.ru
俄罗斯联邦, Irkutsk

参考

  1. Gavrilova M.K. Heat regime of melting of a glacier in the region of Suntar-Khayata (Southern Verkhoyansk Range). Materialy Glyatsiologicheskikh Issledovaniy. Data of glaciological studies. 1964, 9: 149–153. [In Russian].
  2. Kotlyakov V.M., Khromova T.Yu., Nosenko G.A., Muraviev A.Y., Nikitin S.A. Glaciers in the Russian Mountains (Caucasus, Altai, Kamchatka) in the First Quarter of the 21st Century. Led I Sneg. Ice and Snow. 2023, 63 (2): 157–173. [In Russian]. https://doi.org/10.31857/S2076673423020114
  3. Osipov E.Yu., Osipova O.P., Vasilenko O.V. Meteorological regime of the Sygyktinsky Glacier (the Kodar Ridge) during the ablation period. Led I Sneg. Ice and Snow. 2021, 61 (2): 179–194. [In Russian]. https://doi.org/10.31857/S2076673421020080
  4. Osipova O.P., Osipov E.Yu. Influence of Atmospheric Processes on the Dynamics of Kodar Glaciers. Geografiya i prirodnye resursy. Geography and Natural Resources. 2023, 44 (4): 351–358. https://doi.org/10.1134/S1875372823040108
  5. Toropov P.A., Shestakova A.A., Smirnov A.M., Popovnin V.V. Evaluation of the components of the heat balance of the Djankuat Glacier (Central Caucasus) during the period of ablation in 2007–2015. Kriosfera Zemli. Earth`s Cryosphere. 2018, 22: 42–54. [In Russian]. https://doi.org/10.21782/KZ1560-7496-2018-4(42-54)
  6. Andreassen L.M., Van Den Broeke M.R., Giesen R.H., Oerlemans J.A. 5 year record of surface energy and mass balance from the ablation zone of Storbreen, Norway. Journal of Glaciology. 2008, 54: 245–258. https://doi.org/10.3189/002214308784886199
  7. Braithwaite R.J. On glacier energy balance, ablation, and air temperature. Journ. of Glaciology. 1981, 27 (97): 381–391. https://doi.org/10.3189/S0022143000011424
  8. Braithwaite R.J., Konzelmann T., Marty C., Olesen O.B. Errors in daily ablation measurements in northern Greenland, 1993-94, and their implications for glacier climate studies. Journ. of Glaciology. 1998, 44 (148): 583–588. https://doi.org/10.3189/S0022143000002094
  9. Ebrahimi S., Marshall S.J. Parameterization of incoming longwave radiation at glacier sites in the Canadian Rocky Mountains. Journ. of Geophys. Research: Atmospheres. 2015, 120 (24): 12536–12556. https:// doi.org/10.1002/2015JD023324
  10. Hock R. A distributed temperature-index ice-and snowmelt model including potential direct solar radiation. Journ. of Glaciology. 1999, 45 (149): 101–111. https://doi.org/10.3189/S0022143000003087
  11. Hock R. Temperature index melt modelling in mountain areas. Journ. of Hydrology. 2003, 282 (1–4): 104–115. https://doi.org/10.1016/S0022-1694(03)00257-9
  12. Hock R., Holmgren B. A distributed surface energy-balance model for complex topography and its application to Storglaciären, Sweden. Journ. of Glaciology. 2005, 51: 25–36. https://doi.org/10.3189/172756505781829566
  13. Mölg T., Hardy D.R. Ablation and associated energy balance of a horizontal glacier surface on Kilimanjaro. Journ. of Geophys. Research: Atmospheres. 2004, 109 (D16). https://doi.org/10.1029/2003JD004338
  14. Müller F., Keeler C.M. Errors in short-term ablation measurements on melting ice surfaces. Journ. of Glaciology. 1969, 8 (52): 91–105. https://doi.org/10.3189/S0022143000020785
  15. Munro D.S. Comparison of melt energy computations and ablatometer measurements on melting ice and snow. Arctic and Alpine Research. 1990, 22 (2): 153–162. https://doi.org/10.1080/00040851.1990.12002777
  16. Ohmura A. Physical basis for the temperature-based melt-index method // Journ. of Applied Meteorology and Climatology. 2001, 40 (4): 753–761. https://doi.org/ 10.1175/1520-0450(2001)040<0753:PBFTTB>2.0.CO;2
  17. Osipov E.Yu., Osipova O.P. Glacier Changes on the Pik Topografov Massif, East Sayan Range, Southeast Siberia, from Remote Sensing Data. Geosciences. 2018, 8 (5). https://doi.org/10.3390/geosciences8050148
  18. Osipov E.Yu., Osipova O.P. Glaciers of the Levaya Sygykta River watershed, Kodar Ridge, southeastern Siberia, Russia: modern morphology, climate conditions and changes over the past decades. Environmental Earth Sciences. 2015, 74 (3): 1969−1984. https:// doi.org/10.1007/s12665-015-4352-4
  19. Osipov E.Yu., Osipova O.P. Mountain glaciers of southeast Siberia: current state and changes since the Little Ice Age. Annals of Glaciology. 2014, 55 (66): 167–176. https://doi.org/10.3189/2014AoG66A135
  20. Osipov E.Yu., Osipova O.P. Reconstruction of the Little Ice Age glaciers and equilibrium line altitudes in the Kodar Range, southeast Siberia. Quaternary International. 2019, 524: 102–114. https://doi.org/10.1016/j.quaint.2018.11.033
  21. Osipov E.Yu., Osipova O.P. Surface energy balance of the Sygyktinsky Glacier, south Eastern Siberia, during the ablation period and its sensitivity to meteorological fluctuations. Scientific Reports. 2021, 11 (1): 21260. https://doi.org/10.1038/s41598-021-00749-x
  22. Osipova O.P., Osipov E.Yu. Objective classification of weather types for the Eastern Siberia over the 1970–2020 period using the Jenkinson and Collison method. Atmosphere Research. 2022, 277: 106291. https:// doi.org/10.1016/j.atmosres.2022.106291
  23. Pellicciotti F., Brock B., Strasser U., Burlando P., Funk M., Corripio J. An enhanced temperature-index glacier melt model including the shortwave radiation balance: development and testing for Haut Glacier d’Arolla, Switzerland. Journ. of Glaciology. 2005, 51 (175): 573–587. https://doi.org/10.3189/172756505781829124
  24. Sicart J.E., Hock R., Six D. Glacier melt, air temperature, and energy balance in different climates: The Bolivian Tropics, the French Alps, and northern Sweden. Journ. of Geophys. Research: Atmospheres. 2008, 113 (D24). https://doi.org/10.1029/2008JD010406
  25. Stokes C., Shahgedanova M., Evans I., Popovnin V. Accelerated loss of alpine glaciers in the Kodar Mountains, south-eastern Siberia. Global Planetary Change. 2013, 101: 82–96. https://doi.org/10.1016/j.gloplacha.2012.12.010
  26. Sun W., Qin X., Ren J., Yang X., Zhang T., Liu Y., Cui X., Du W. The Surface Energy Budget in the Accumulation Zone of the Laohugou Glacier No. 12 in the Western Qilian Mountains, China, in Summer 2009. Arctic, Antarctic and Alpine Research. 2012, 44: 296–305. https://doi.org/10.1657/1938-4246-44.3.296
  27. van den Broeke M., van As D., Reijmer C., van de Wal R. Assessing and improving the quality of unattended radiation observations in Antarctica. Journ. of Atmospheric and Oceanic Technology. 2004, 21 (9): 1417–1431. https://doi.org/10.1175/1520-0426(2004)021<1417:AAITQO>2.0.CO;2
  28. Wagnon P., Sicart J.E., Berthier E., Chazarin J.P. Wintertime high-altitude surface energy balance of a Bolivian glacier, Illimani, 6340 m above sea level. Journ. of Geophys. Research: Atmospheres. 2003, 108 (D6). https://doi.org/10.1029/2002JD002088

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