Articles | Volume 8, issue 6
The Cryosphere, 8, 2063–2074, 2014
https://doi.org/10.5194/tc-8-2063-2014
The Cryosphere, 8, 2063–2074, 2014
https://doi.org/10.5194/tc-8-2063-2014

Research article 14 Nov 2014

Research article | 14 Nov 2014

A statistical approach to represent small-scale variability of permafrost temperatures due to snow cover

K. Gisnås1, S. Westermann1,2, T. V. Schuler1, T. Litherland1, K. Isaksen3, J. Boike4, and B. Etzelmüller1 K. Gisnås et al.
  • 1Department of Geosciences, University of Oslo, Oslo, Norway
  • 2Center for Permafrost, Department of Geography and Geology, University of Copenhagen, Copenhagen, Denmark
  • 3Norwegian Meteorological Institute, Oslo, Norway
  • 4Alfred Wegener Institute, Potsdam, Germany

Abstract. In permafrost environments exposed to strong winds, drifting snow can create a small-scale pattern of strongly variable snow heights, which has profound implications for the thermal regime of the ground. Arrays of 26 to more than 100 temperature loggers were installed to record the distribution of ground surface temperatures within three study areas across a climatic gradient from continuous to sporadic permafrost in Norway. A variability of the mean annual ground surface temperature of up to 6°C was documented within areas of 0.5 km2. The observed variation can, to a large degree, be explained by variation in snow height. Permafrost models, employing averages of snow height for grid cells of, e.g., 1 km2, are not capable of representing such sub-grid variability. We propose a statistical representation of the sub-grid variability of ground surface temperatures and demonstrate that a simple equilibrium permafrost model can reproduce the temperature distribution within a grid cell based on the distribution of snow heights.

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