Glacier mass budget and climate reanalysis data indicate a climatic shift around 2000 in Lahaul-Spiti, western Himalaya

  • Kriti Mukherjee
  • Atanu Bhattacharya
  • Tino Pieczonka
  • Susmita Ghosh
  • Tobias Bolch
Article
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Abstract

While glacier mass changes in the Himalaya since the year 2000 are relatively well investigated, there is still a lack of knowledge about the long-term changes and their climatic drivers. We use historical and recent remote sensing data to study glacier changes of the Lahaul-Spiti region in western Himalaya, India, over the last four decades (1971–2013). The glaciers were losing mass moderately between 1971 and 1999 (− 0.07 ± 0.1 m w.e. year−1) while the losses have increased significantly after 2000 (− 0.30 ± 0.1 m w.e. year−1). During both periods, the debris-covered glaciers and glaciers having pro-glacial lakes lost more mass than glaciers with little debris cover. Mass changes of Chhota Shigri, a benchmark glacier, closely matched the average of the overall study area. Analysis of gridded climate data covering the period 1948–2015 shows that the mean annual air temperature increased, especially since 1995. One dataset shows a significant increase in summer temperature after 2000 while others do not show any trend. The mean annual precipitation started decreasing around 1995 and reached a minimum around 2000, after which it increased again. One dataset shows a significant decrease in winter precipitation after 2000 while the others show no trend. The climate data indicate that the increase in mean annual temperature from 1995, combined with no significant trend/significant decrease of winter precipitation in the period after 2000, has probably resulted in accelerated mass loss of the glaciers.

Keywords

Lahaul-Spiti, Indian Himalaya US spy satellite image Glacier changes Geodetic mass balance Climate reanalysis data Climatic trend 
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Notes

Acknowledgements

KM acknowledges the personal communications of M. Chen for PREC/L data, C. Smith for NCEP/NCAR data and S Nair for Cartosat data. AB acknowledges AvH foundation for supporting his research at TU Dresden. SG acknowledges NIT Silchar for providing Cartosat data. The authors are grateful for the proofread by B. A. Robson and for the constructive comments by the anonymous reviewers, which helped to improve the quality of the manuscript.

Author contributions

KM, AB and TB designed the study and discussed the results. AB generated all the DTMs and some figures. TP supported the DTM generation and SRTM penetration correction analysis. SG provided Cartosat-1 data and identified some sources for climate data. KM performed all analysis and wrote the draft of the manuscript. All authors contributed to its final form.

Supplementary material

10584_2018_2185_MOESM1_ESM.docx (943 kb)
ESM 1 (DOCX 942 kb)

References

  1. Arendt AA, Bliss A, Bolch T et al (2015) Randolph Glacier Inventory—a dataset of global glacier outlines: Version 5.0. GLIMS Technical Report. National Snow and Ice Data Centre. Boulder. USAGoogle Scholar
  2. Azam MF, Wagnon P, Ramanathan AL et al (2012) From balance to imbalance: a shift in the dynamic behaviour of Chhota Shigri glacier, western Himalaya, India. J Glaciol 58(208):315–324CrossRefGoogle Scholar
  3. Azam MF, Wagnon P, Vincent C et al (2014) Reconstruction of the annual mass balance of Chhota Shigri glacier, Western Himalaya, India, since 1969. Ann Glaciol 55(66):1–12CrossRefGoogle Scholar
  4. Banerjee A (2017) Thinning of debris-covered and debris-free glaciers in a warming climate. Cryosphere 11:133–138CrossRefGoogle Scholar
  5. Bao X, Zhang F (2013) Evaluation of NCEP-CFSR, NCEP/NCAR, ERA-Interim, and ERA-40 reanalysis datasets against independent sounding observations over the Tibetan Plateau. J Clim 26:206–214CrossRefGoogle Scholar
  6. Basnett S, Kulkarni AV, Bolch T (2013) The influence of debris cover and glacial lakes on the recession of glaciers in Sikkim Himalaya, India. J Glaciol 59(218):1035–1046CrossRefGoogle Scholar
  7. Berthier E, Arnaud Y, Rajesh K et al (2007) Remote sensing estimates of glacier mass balances in the Himachal Pradesh (Western Himalaya), India. Remote Sens Environ 108(3):327–338CrossRefGoogle Scholar
  8. Bhambri R, Bolch T (2009) Glacier mapping: a review with special reference to the Indian Himalayas. Prog Phys Geogr 33:672–704CrossRefGoogle Scholar
  9. Bhambri R, Bolch T, Chaujar RK (2012) Frontal recession of Gangotri Glacier, Garhwal Himalaya, from 1965 to 2006, measured through high-resolution remote sensing data. Curr Sci 102(3):489–494Google Scholar
  10. Bhattacharya A, Bolch T, Mukherjee K et al (2016) Overall recession and mass budget of Gangotri Glacier, Garhwal Himalayas, from 1965 to 2015 using remote sensing data. J Glaciol 62(236):1115–1133CrossRefGoogle Scholar
  11. Bolch T, Menounos B, Wheate R (2010) Landsat-based inventory of glaciers in western Canada, 1985–2005. Remote Sens Environ 114(1):127–137CrossRefGoogle Scholar
  12. Bolch T, Pieczonka T, Benn DI (2011) Multi-decadal mass loss of glaciers in the Everest area (Nepal Himalaya) derived from stereo imagery. Cryosphere 5:349–358CrossRefGoogle Scholar
  13. Bolch T, Kulkarni A, Kääb A et al (2012) The state and fate of Himalayan glaciers. Science 336:310–315CrossRefGoogle Scholar
  14. Bolch T, Pieczonka T, Mukherjee K, Shea J (2017) Brief communication; glaciers in the Hunza catchment (Karakoram) have been nearly in balance since the 1970s. Cryosphere 11:531–539CrossRefGoogle Scholar
  15. Bookhagen B, Burbank DW (2010) Toward a complete Himalayan hydrological budget: spatiotemporal distribution of snowmelt and rainfall and their impact on river discharge. Geophys Res Lett 115(F03019):1–25Google Scholar
  16. Brun F, Berthier E, Wagnon P et al (2017) A spatially resolved estimate of High Mountain Asia glacier mass balances from 2000 to 2016. Nat Geosci 10:668–673CrossRefGoogle Scholar
  17. Buri P, Pellicciotti F, Steiner J et al (2016) A grid based model of backwasting of supraglacial ice cliffs on debris-covered glaciers. Ann Glaciol 57(71):199–210CrossRefGoogle Scholar
  18. Chen M, Xie P, Janowiak JE (2002) Global land precipitation: a 50-yr monthly analysis based on gauge observations. J Hydrometeorol 3(3):249–266CrossRefGoogle Scholar
  19. Cuffey KM, Paterson WSB (2010) The physics of glaciers, 4th edn. Academic Press Inc, AmsterdamGoogle Scholar
  20. Dee DP, Uppala SM, Simmons AJ et al (2011) The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Q J R Meteorol Soc 137:553–597CrossRefGoogle Scholar
  21. Dehecq A, Millan R, Berthier E et al (2016) Elevation changes inferred from TanDEM-X data over the Mont-Blanc area: impact of the X-band interferometric bias. IEEE J. Sel. Topics Appl. Earth Observ. in Remote Sens, pp 1–3Google Scholar
  22. Dobhal DP, Kumar S, Mundepi AK (1995) Morphology and glacier dynamics studies in monsoon-arid transition zone: An example from Chhota Shigri glacier, Himachal-Himalaya, India. Curr Sci 68(9):936–944.Google Scholar
  23. Dobhal DP, Mehta M, Srivastava D (2013) Influence of debris cover on terminus retreat and mass changes of Chorabari Glacier, Garhwal region, central Himalaya, India. J Glaciol 59(217):961–971CrossRefGoogle Scholar
  24. Gardelle J, Berthier E, Arnaud Y (2012) Impact of resolution and radar penetration on glacier elevation changes computed from DEM differencing. J Glaciol 58(208):419–422CrossRefGoogle Scholar
  25. Gardelle J, Berthier E, Arnaud Y et al (2013) Region-wide glacier mass balances over the Pamir-Karakoram-Himalaya during 1999-2011. Cryosphere 7:1263–1286CrossRefGoogle Scholar
  26. Gardner AS, Moholdt G, Cogley JG et al (2013) A reconciled estimate of glacier contributions to sea level rise: 2003 to 2009. Science 340:852–857CrossRefGoogle Scholar
  27. Garg PK, Shukla A, Tiwari RK et al (2017) Assessing the status of glaciers in part of the Chandra basin, Himachal Himalaya: a multiparametric approach. Geomorphology 284:99–114CrossRefGoogle Scholar
  28. Goerlich F, Bolch T, Mukherjee K et al (2017) Glacier mass loss during the 1960s and 70s in the Ak-Shirak Range (Kyrgyzstan) from multiple stereoscopic Corona and Hexagon imagery. Remote Sens 9(3):275–285CrossRefGoogle Scholar
  29. Hall DK, Bahr KJ, Shoener W et al (2003) Consideration of the errors inherent in mapping historical glacier positions in Austria from the ground and space. Remote Sens Environ 86(4):566–577CrossRefGoogle Scholar
  30. Huss M (2013) Density assumptions for converting geodetic glacier volume change to mass change. Cryosphere 7:877–887CrossRefGoogle Scholar
  31. Immerzeel WW, Beek LPH, Bierkens MFP (2010) Climate change will affect the Asian water towers. Science 328:1382–1386CrossRefGoogle Scholar
  32. Immerzeel WW, Wanders N, Lutz F et al (2015) Reconciling high altitude precipitation in the upper Indus basin with glacier mass balances and runoff. Hydrol Earth Syst Sci 19:4673–4687CrossRefGoogle Scholar
  33. Kääb A, Berthier E, Nuth C et al (2012) Contrasting patterns of early twenty-first-century glacier mass change in the Himalayas. Nature 488:495–498CrossRefGoogle Scholar
  34. Kalnay E, Kanamitsu M, Kistler R et al (1996) The NCEP/NCAR 40-year reanalysis project. Bull Am Meteorol Soc 77(3):437–471CrossRefGoogle Scholar
  35. King O, Quincey DJ, Carrivick JL et al (2017) Spatial variability in mass loss of glaciers in the Everest region, central Himalayas, between 2000 and 2015. Cryosphere 11(1):407–426CrossRefGoogle Scholar
  36. Kulkarni AV, Dhar S, Rathore BP et al (2006) Recession of Samudra Tapu Glacier, Chandra River basin, Himachal Pradesh. J Indian Soc Remote Sens 34(1):39–46CrossRefGoogle Scholar
  37. Kulkarni AV, Bahuguna IM, Rathore BP et al (2007) Glacial retreat in Himalaya using Indian Remote Sensing satellite data. Curr Sci 92(1):69–74Google Scholar
  38. Kulkarni AV, Rathore BP, Singh SK et al (2011) Understanding changes in the Himalayan cryosphere using remote sensing techniques. Int J Remote Sens 32(3):601–615CrossRefGoogle Scholar
  39. Maussion F, Scherer D, Mölg T et al (2014) Precipitation seasonality and variability over the Tibetan Plateau as resolved by the High Asia reanalysis. J Clim 27:1910–1927CrossRefGoogle Scholar
  40. Miles E, Pelliccioti F, Willis IC et al (2016) Refined energy-balance modelling of a supraglacial pond, Langtang Khola, Nepal. Ann Galciol 57(71):29–40CrossRefGoogle Scholar
  41. Mooney PA, Mulligan FJ, Fealy (2011) Comparison of ERA-40, ERA-Interim and NCEP/NCAR reanalysis data with observed surface air temperatures over Ireland. Int J Climatol 31:545–557CrossRefGoogle Scholar
  42. Nuimura T, Sakai A, Taniguchi K et al (2015) The GAMDAM glacier inventory: a quality controlled inventory of Asian glaciers. Cryosphere 9:849–864CrossRefGoogle Scholar
  43. Nuth C, Kääb A (2011) Co-registration and bias corrections of satellite elevation data sets for quantifying glacier thickness change. Cryosphere 5:271–290CrossRefGoogle Scholar
  44. Pandey P, Venkataraman G (2013) Changes in the glaciers of Chandra-Bhaga basin, Himachal Himalaya, India, between 1980 and 2010 measured using remote sensing. Int J Remote Sens 34(15):5584–5597CrossRefGoogle Scholar
  45. Paul F, Haeberli W (2008) Spatial variability of glacier elevation changes in the Swiss Alps obtained from two digital elevation models. Geophys Res Lett 35(L21502):1–5Google Scholar
  46. Pepin N, Bradley RS, Diaz HF et al (2015) Elevation dependent warming in mountain regions of the world. Nat Clim Chang 5(5):424–430CrossRefGoogle Scholar
  47. Pieczonka T, Bolch T (2015) Region-wide glacier mass budgets and area changes for the Central Tien Shan between ~1975 and 1999 using Hexagon KH-9 imagery. Glob Planet Chang 128:1–13CrossRefGoogle Scholar
  48. Pieczonka T, Bolch T, Junfeng W et al (2013) Heterogeneous mass loss of glaciers in the Aksu-Tarim Catchment (Central Tien Shan) revealed by 1976 KH-9 Hexagon and 2009 SPOT-5 stereo imagery. Remote Sens Environ 130:233–244CrossRefGoogle Scholar
  49. Ragettli S, Bolch T, Pellicciotti F (2016) Heterogeneous glacier thinning patterns over the last 40 years in Langtang Himal, Nepal. Cryosphere 10:2075–2097CrossRefGoogle Scholar
  50. Rignot E, Echelmeyer K, Krabill W (2001) Penetration depth of interferometric synthetic-aperture radar signals in snow and ice. Geophys Res Lett 28(18):3501–3504CrossRefGoogle Scholar
  51. Rowan AV, Egholm DL, Quincey DJ et al (2015) Modelling the feedbacks between mass balance, ice flow and debris transport to predict the response to climate change of debris-covered glaciers in the Himalaya. Earth Planet Sci Lett 430:427–438CrossRefGoogle Scholar
  52. Sakai A, Takeuchi N, Fujita K et al (2000) Role of supraglacial ponds in the ablation process of a debris-covered glacier in the Nepal Himalayas. In: Nawako M, Raymond C, Fountain A (eds) Debris-covered glaciers, pp 119–130Google Scholar
  53. Sakai A, Nuimura T, Fujita K et al (2015) Climate regime of Asian glaciers revealed by GAMDAM glacier inventory. Cryosphere 9:865–880CrossRefGoogle Scholar
  54. Schwitter MP, Raymond CF (1993) Changes in the longitudinal profiles of glaciers during advance and retreat. J Glaciol 39(133):582–590CrossRefGoogle Scholar
  55. Song C, Huang B, Ke L et al (2016) Precipitation variability in High Mountain Asia from multiple datasets and implication for water balance analysis in large lake basins. Glob Planet Chang 145:20–29CrossRefGoogle Scholar
  56. Vijay S, Braun M (2016) Elevation change rates of glaciers in the Lahaul-Spiti (Western Himalaya, India) during 2000–2012 and 201–2013. Remote Sens 8(1038):1–17Google Scholar
  57. Vincent C, Ramanathan AL, Wagnon P et al (2013) Balanced conditions or slight mass gain of glaciers in the Lahaul and Spiti region (northern India, Himalaya) during the nineties preceded recent mass loss. Cryosphere 7(2):569–582CrossRefGoogle Scholar
  58. Vincent C, Wagnon P, Shea JM et al (2016) Reduced melt on debris-covered glaciers: investigations from Changri Nup Glacier, Nepal. Cryosphere 10:1845–1858CrossRefGoogle Scholar
  59. Yatagai AK, Kamiguchi O, Arakawa A et al (2012) APHRODITE: constructing a long-term daily gridded precipitation dataset for Asia based on a dense network of rain gauges. Bull Am Meteorol Soc:1401–1415Google Scholar
  60. Zhang L, Su F, Yang D et al (2013) Discharge regime and simulation for the upstream of major rivers over Tibetan Plateau. J Geophys Res Atmos 118(15):8500–8518CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  1. 1.Institute of CartographyTechnische Universität DresdenDresdenGermany
  2. 2.Electrical Engineering DepartmentDSCSDEC, JIS GroupKolkataIndia
  3. 3.Mechanical Engineering DepartmentDSCSDEC, JIS GroupKolkataIndia
  4. 4.Civil Engineering DepartmentNational Institute of TechnologySilcharIndia
  5. 5.Department of GeographyUniversity of ZurichZurichSwitzerland

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