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Climatic Change

, Volume 148, Issue 1–2, pp 219–233 | Cite as

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

  • Kriti MukherjeeEmail author
  • Atanu Bhattacharya
  • Tino Pieczonka
  • Susmita Ghosh
  • Tobias Bolch
Article
First Online:

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)

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© 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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