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The Cryosphere An interactive open-access journal of the European Geosciences Union
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Preprints
https://doi.org/10.5194/tc-2017-55
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-2017-55
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

  03 May 2017

03 May 2017

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This preprint has been withdrawn by the authors.

Measured and Modeled Snow Cover Properties across the Greenland Ice Sheet

Sascha Bellaire1, Martin Proksch1, Martin Schneebeli1, Masashi Niwano2, and Konrad Steffen3,4 Sascha Bellaire et al.
  • 1WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
  • 2Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Japan
  • 3Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland
  • 4Institute for Atmospheric and Climate Science, ETH Zurich, Switzerland

Abstract. The Greenland ice sheet (GrIS) is known to be contributing to sea level rise in a warming climate. The snow cover on the ice sheet is the direct link between a potentially warmer atmosphere and the ice itself. However, little is known about the microstructure and especially about the spatial and temporal variability of the snow cover, except from indirect evidence from remote sensing. The detailed snowpack stratigraphy is relevant for processes such as the albedo feedback, water infiltration and firn densification. During a field campaign in 2015, spatially distributed snow observations of the GrIS were gathered at stations belonging to the Greenland Climate Network (GC-Net). High-resolution snow profiles of density, specific surface area and hardness were measured. Hardness was measured with the SnowMicroPen, which was also used to assess the spatial variability of the snow density with depth. The snow cover model SNOWPACK was forced with reanalysis data from the model NHM-SMAP. The measured mean density of the upper snow cover was in good agreement with the simulations using constant densities for snow accumulation, i.e. new snow, depending on the geographical location on the GrIS. However, the observed stratigraphy in terms of density and SSA could not be reproduced. We found that for a one-dimensional snowpack model it is difficult to parameterize for snowpacks undergoing multiple erosion and redeposition events, as is typical for the GrIS and other perennial polar snowpacks. This limitation may be a drawback to understanding past and future changes of the snow, and the associated processes.

This preprint has been withdrawn.

Sascha Bellaire et al.

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  • RC1: 'Review', Florent Dominé, 23 May 2017 Printer-friendly Version Printer-friendly Version
  • RC2: 'RC#2', Anonymous Referee #2, 27 Jul 2017 Printer-friendly Version

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
  • RC1: 'Review', Florent Dominé, 23 May 2017 Printer-friendly Version Printer-friendly Version
  • RC2: 'RC#2', Anonymous Referee #2, 27 Jul 2017 Printer-friendly Version

Sascha Bellaire et al.

Sascha Bellaire et al.

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