<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Barandun, Martina</dc:creator>
  <dc:creator>Huss, Matthias</dc:creator>
  <dc:creator>Usubaliev, Ryskul</dc:creator>
  <dc:creator>Azisov, Erlan</dc:creator>
  <dc:creator>Berthier, Etienne</dc:creator>
  <dc:creator>Kääb, Andreas</dc:creator>
  <dc:creator>Bolch, Tobias</dc:creator>
  <dc:creator>Hoelzle, Martin</dc:creator>
  <dc:date>2018-06-06</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">Glacier surface mass balance observations in the Tien Shan and Pamir are relatively  sparse and often discontinuous. Nevertheless, glaciers are one of the most important  components of the high-mountain cryosphere in the region as they strongly influence  water availability in the arid, continental and intensely populated downstream areas.  This study provides reliable and continuous surface mass balance series for selected  glaciers located in the Tien Shan and Pamir-Alay. By cross-validating the results of  three independent methods, we reconstructed the mass balance of the three  benchmark glaciers, Abramov, Golubin and Glacier no. 354 for the past 2 decades. By  applying different approaches, it was possible to compensate for the limitations and  shortcomings of each individual method. This study proposes the use of transient  snow line observations throughout the melt season obtained from satellite optical  imagery and terrestrial automatic cameras. By combining modelling with remotely  acquired information on summer snow depletion, it was possible to infer glacier mass  changes for unmeasured years. The model is initialized with daily temperature and  precipitation data collected at automatic weather stations in the vicinity of the glacier  or with adjusted data from climate reanalysis products. Multi-annual mass changes  based on high-resolution digital elevation models and in situ glaciological surveys  were used to validate the results for the investigated glaciers. Substantial surface  mass loss was confirmed for the three studied glaciers by all three methods, ranging  from −0.30 ± 0.19 to −0.41 ± 0.33 m w.e. yr−1 over the 2004–2016 period. Our results  indicate that integration of snow line observations into mass balance modelling  significantly narrows the uncertainty ranges of the estimates. Hence, this highlights  the potential of the methodology for application to unmonitored glaciers at larger  scales for which no direct measurements are available.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://folia.unifr.ch/global/documents/307248</dc:identifier>
  <dc:identifier>https://folia.unifr.ch/documents/307248/files/hoe_mdm.pdf</dc:identifier>
  <dc:identifier>https://folia.unifr.ch/documents/307248/files/hoe_mdm_sm.pdf</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-12-1899-2018</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>License undefined</dc:rights>
  <dc:source>The Cryosphere. - 2018, vol. 12, no. 6, p. 1899–1919</dc:source>
  <dc:subject>info:eu-repo/classification/udc/556</dc:subject>
  <dc:title xmlns:ns1="xml" ns1:lang="en">Multi-decadal mass balance series of three Kyrgyz glaciers inferred from modelling constrained with repeated snow line observations</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_6501</dc:type>
</oai_dc:dc>
