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The Cryosphere An interactive open-access journal of the European Geosciences Union
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Volume 5, issue 2
The Cryosphere, 5, 349-358, 2011
https://doi.org/10.5194/tc-5-349-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
The Cryosphere, 5, 349-358, 2011
https://doi.org/10.5194/tc-5-349-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 20 Apr 2011

Research article | 20 Apr 2011

Multi-decadal mass loss of glaciers in the Everest area (Nepal Himalaya) derived from stereo imagery

T. Bolch3,1, T. Pieczonka1, and D. I. Benn2,4 T. Bolch et al.
  • 1Institut für Kartographie, Technische Universität Dresden, Germany
  • 2The University Centre in Svalbard, Norway
  • 3Geographisches Institut, Universität Zürich, Switzerland
  • 4School of Geography and Geosciences, University of St Andrews, UK

Abstract. Mass loss of Himalayan glaciers has wide-ranging consequences such as changing runoff distribution, sea level rise and an increasing risk of glacial lake outburst floods (GLOFs). The assessment of the regional and global impact of glacier changes in the Himalaya is, however, hampered by a lack of mass balance data for most of the range. Multi-temporal digital terrain models (DTMs) allow glacier mass balance to be calculated. Here, we present a time series of mass changes for ten glaciers covering an area of about 50 km2 south and west of Mt. Everest, Nepal, using stereo Corona spy imagery (years 1962 and 1970), aerial images and recent high resolution satellite data (Cartosat-1). This is the longest time series of mass changes in the Himalaya. We reveal that the glaciers have been significantly losing mass since at least 1970, despite thick debris cover. The specific mass loss for 1970–2007 is 0.32 ± 0.08 m w.e. a−1, however, not higher than the global average. Comparisons of the recent DTMs with earlier time periods indicate an accelerated mass loss. This is, however, hardly statistically significant due to high uncertainty, especially of the lower resolution ASTER DTM. The characteristics of surface lowering can be explained by spatial variations of glacier velocity, the thickness of the debris-cover, and ice melt due to exposed ice cliffs and ponds.

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