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| Titel |
A statistical approach to represent small-scale variability of permafrost temperatures due to snow cover |
| VerfasserIn |
K. Gisnås, S. Westermann, T. V. Schuler, T. Litherland, K. Isaksen, J. Boike, B. Etzelmüller |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1994-0416
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| Digitales Dokument |
URL |
| Erschienen |
In: The Cryosphere ; 8, no. 6 ; Nr. 8, no. 6 (2014-11-14), S.2063-2074 |
| Datensatznummer |
250116375
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| Publikation (Nr.) |
 copernicus.org/tc-8-2063-2014.pdf |
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| Zusammenfassung |
| 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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