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dc.date.accessioned2016-08-03T12:28:07Z
dc.date.available2016-08-03T12:28:07Z
dc.date.issued2014
dc.identifier.urihttp://hdl.handle.net/10852/51038
dc.description.abstractIn 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.en_US
dc.language.isoenen_US
dc.relation.ispartofKjersti Gisnås (2016) Permafrost modelling over different scales in arctic and high-mountain environments. Doctoral thesis. http://urn.nb.no/URN:NBN:no-54520
dc.relation.urihttp://urn.nb.no/URN:NBN:no-54520
dc.rightsAttribution 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/
dc.titleA statistical approach to represent small-scale variability of permafrost temperatures due to snow coveren_US
dc.typeJournal articleen_US
dc.creator.authorGisnås, Kjersti
dc.creator.authorWestermann, Sebastian
dc.creator.authorSchuler, Thomas Vikhamar
dc.creator.authorLitherland, T.
dc.creator.authorIsaksen, K.
dc.creator.authorBoike, J.
dc.creator.authorEtzelmüller, Bernd
dc.identifier.cristin1193818
dc.identifier.jtitleThe Cryosphere
dc.identifier.volume8
dc.identifier.startpage2063
dc.identifier.endpage2074
dc.identifier.doi10.5194/tc-8-2063-2014
dc.identifier.urnURN:NBN:no-54521
dc.type.documentTidsskriftartikkelen_US
dc.type.peerreviewedPeer reviewed
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/51038/1/tc-8-2063-2014.pdf
dc.type.versionPublishedVersion


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