Spatio-temporal variability in elevation changes of two high-Arcticvalley glaciers

Research output: Contribution to journalArticlepeer-review

Authors

Colleges, School and Institutes

External organisations

  • NATURAL ENVIRONMENT RESEARCH COUNCIL
  • University of Wales Swansea

Abstract

Uncertainties in estimates of glacier and ice-cap contribution to sea-level rise exist in part due to poor quantification of mass-balance errors, particularly those resulting from extrapolation ofsparse measurements. Centre-line data are often assumed to be representative of the glacier as awhole, with little attention paid to extrapolation errors or their effect on mass-balance estimates. Here we present detailed digital elevation model (DEM) measurements of glacier-wide elevation changes over the last ̃40 years at two glaciers on Svalbard, Norwegian Arctic. Austre Brøggerbreen and Midtre Lovénbreen are shown to have lost 27.54±0.98 and 9.65±0.76×10 m of ice, respectively, between 1966 and 2005, findings that we relate to trends in average summer air temperatures and winter accumulation. These volume losses correspond to geodetic balances of -0.58±0.03 and -0.41±0.03mw.e. a , respectively. Our analysis revealed high spatial complexity in patterns of elevation change, varying between glaciers, between measurement intervals and within and between elevation bins. Balances from extrapolated centre-line geodetic data were the same (within errors) as those from full-coverage DEM differencing in the majority of comparisons, yet significantly underestimated balance in three instances. Additionally, field mass balance from centre-line ablation stake data underestimated balances from full-coverage geodetic measurements during three of six measurement periods. These findings may support the hypothesis that field measurements underestimate Svalbard glacier mass loss, at least partly as a result of the failure of centre-line measurements to account for glacier-wide variations in ablation. Our results demonstrate the importance of deriving accurate interpolation functions and constraining extrapolation errors from sparse measurements.

Bibliographic note

Copyright 2011 Elsevier B.V., All rights reserved.

Details

Original languageEnglish
Pages (from-to)771-780
Number of pages10
JournalJournal of Glaciology
Volume56
Issue number199
Publication statusPublished - 1 Dec 2010