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Reanalysing glacier mass balance measurement series

Michael ZempDepartment of Geography, University of Zurich (UZH), Zurich, SwitzerlandEmmanuel ThibertMatthias HussDepartment of Geosciences, University of Fribourg (UFR), Fribourg, SwitzerlandD. StummInternational Centre for Integrated Mountain Development (ICIMOD), Kathmandu, NepalC. Rolstad DenbyDepartment of Mathematical Sciences and Technology, The Norwegian University of Life Sciences (UMB), s, NorwayChristopher NuthDepartment of Geosciences, University of Oslo (UiO), Oslo, NorwaySamuel U. NussbaumerDepartment of Geography, University of Zurich (UZH), Zurich, SwitzerlandGeir MoholdtScripps Institution of Oceanography, University of California, San Diego, USAA. MercerDepartment of Physical Geography and Quaternary Geology, Stockholm University, Stockholm, SwedenChristoph MayerCommission for Geodesy and Glaciology, Bavarian Academy of Sciences and Humanities, Munich, GermanyPhilip C. JoergDepartment of Geography, University of Zurich (UZH), Zurich, SwitzerlandPeter JanssonDepartment of Physical Geography and Quaternary Geology, Stockholm University, Stockholm, SwedenBernhard HynekZentralanstalt für Meteorologie und Geodynamik (ZAMG), Vienna, AustriaAndrea FischerInstitute for Interdisciplinary Mountain Research, Austrian Academy of Sciences, Innsbruck, AustriaHeidi Escher-VetterCommission for Geodesy and Glaciology, Bavarian Academy of Sciences and Humanities, Munich, GermanyHallgeir ElvehøyNorwegian Water Resources and Energy Directorate (NVE), Oslo, NorwayLiss M. AndreassenNorwegian Water Resources and Energy Directorate (NVE), Oslo, Norway
2013en
ABI

Аннотация

Abstract. Glacier-wide mass balance has been measured for more than sixty years and is widely used as an indicator of climate change and to assess the glacier contribution to runoff and sea level rise. Until recently, comprehensive uncertainty assessments have rarely been carried out and mass balance data have often been applied using rough error estimation or without consideration of errors. In this study, we propose a framework for reanalysing glacier mass balance series that includes conceptual and statistical toolsets for assessment of random and systematic errors, as well as for validation and calibration (if necessary) of the glaciological with the geodetic balance results. We demonstrate the usefulness and limitations of the proposed scheme, drawing on an analysis that comprises over 50 recording periods for a dozen glaciers, and we make recommendations to investigators and users of glacier mass balance data. Reanalysing glacier mass balance series needs to become a standard procedure for every monitoring programme to improve data quality, including reliable uncertainty estimates.

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