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A daily, 1 km resolution data set of downscaled Greenland ice sheet surface mass balance (1958–2015)

  • Noël, Brice Institute for Marine and Atmospheric research Utrecht, Utrecht University, the Netherlands
  • Berg, Willem Jan van de Institute for Marine and Atmospheric research Utrecht, Utrecht University, the Netherlands
  • Machguth, Horst Department of Geography, University of Zurich, Switzerland - Department of Geosciences, University of Fribourg, Switzerland - Geological Survey of Denmark and Greenland GEUS, Copenhagen, Denmark
  • Lhermitte, Stef Department of Geoscience & Remote Sensing, Delft University of Technology, Delft, the Netherlands
  • Howat, Ian Byrd Polar Research Center and School of Earth Sciences, Ohio State University, Columbus, USA
  • Fettweis, Xavier Department of Geography, University of Liège, Liège, Belgium
  • Broeke, Michiel R. van den Institute for Marine and Atmospheric research Utrecht, Utrecht University, the Netherlands
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    13.10.2016
Published in:
  • The Cryosphere. - 2016, vol. 10, no. 5, p. 2361–2377
English This study presents a data set of daily, 1 km resolution Greenland ice sheet (GrIS) surface mass balance (SMB) covering the period 1958–2015. Applying corrections for elevation, bare ice albedo and accumulation bias, the high-resolution product is statistically downscaled from the native daily output of the polar regional climate model RACMO2.3 at 11 km. The data set includes all individual SMB components projected to a down-sampled version of the Greenland Ice Mapping Project (GIMP) digital elevation model and ice mask. The 1 km mask better resolves narrow ablation zones, valley glaciers, fjords and disconnected ice caps. Relative to the 11 km product, the more detailed representation of isolated glaciated areas leads to increased precipitation over the southeastern GrIS. In addition, the downscaled product shows a significant increase in runoff owing to better resolved low-lying marginal glaciated regions. The combined corrections for elevation and bare ice albedo markedly improve model agreement with a newly compiled data set of ablation measurements.
Faculty
Faculté des sciences et de médecine
Department
Département de Géosciences
Language
  • English
Classification
Hydrology
License
License undefined
Identifiers
Persistent URL
https://folia.unifr.ch/unifr/documents/305491
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