Articles | Volume 10, issue 5
https://doi.org/10.5194/tc-10-2517-2016
https://doi.org/10.5194/tc-10-2517-2016
Research article
 | 
25 Oct 2016
Research article |  | 25 Oct 2016

Scaling-up permafrost thermal measurements in western Alaska using an ecotype approach

William L. Cable, Vladimir E. Romanovsky, and M. Torre Jorgenson

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Cited articles

Barnhart, T. B. and Crosby, B. T.: Comparing two methods of surface change detection on an evolving thermokarst using high-temporal-frequency terrestrial laser scanning, Selawik River, Alaska, Remote Sens., 5, 2813–2837, https://doi.org/10.3390/rs5062813, 2013.
Cable, W. and Romanovsky, V.: Network of Permafrost Observatories in Western Alaska, NSF Arctic Data Center, https://doi.org/10.18739/A24H2B, 2016.
Carlson, H.: Calculation of depth of thaw in frozen ground, Highway Research Board Special Report, Highway Research Board, Washington, D.C., USA, 192–223, 1952.
Dingman, S. and Koutz, F.: Relations among vegetation, permafrost, and potential insolation in central Alaska, Arct. Alp. Res., 6, 37–47, 1974.
Fovell, R. G.: Consensus Clustering of U.S. Temperature and Precipitation Data, J. Climate, 10, 1405–1427, https://doi.org/10.1175/1520-0442(1997)010<1405:CCOUST>2.0.CO;2, 1997.
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Short summary
Permafrost temperatures in Alaska are increasing, yet in many areas we lack data needed to assess future changes and potential risks. In this paper we show that classifying the landscape into landcover types is an effective way to scale up permafrost temperature data collected from field monitoring sites. Based on these results, a map of mean annual ground temperature ranges at 1 m depth was produced. The map should be useful for land use decision making and identifying potential risk areas.