Sampling and statistical analyses of BTS measurements

Basal temperature of snow (BTS) data show characteristic spatial autocorrelations at distances typically less than 200 m, leading to non-independent regression residuals. Systematic temporal variations may also introduce model bias resulting in a shift in the predicted lower limit of permafrost. Bot...

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Bibliographic Details
Published in:Permafrost and Periglacial Processes
Main Authors: Brenning, A. (Alexander), Gruber, S. (Stephan), Hoelzle, M. (Martin)
Format: Article in Journal/Newspaper
Language:English
Published: 2005
Subjects:
BTS
Mountain permafrost
Sampling design
Spatiotemporal variability
Statistical analysis
permafrost
Permafrost and Periglacial Processes
Online Access:https://ir.library.carleton.ca/pub/19153
https://doi.org/10.1002/ppp.541
Description
Summary:Basal temperature of snow (BTS) data show characteristic spatial autocorrelations at distances typically less than 200 m, leading to non-independent regression residuals. Systematic temporal variations may also introduce model bias resulting in a shift in the predicted lower limit of permafrost. Both phenomena are analysed. The selection of an appropriate sampling design for a BTS measurement program appears critical in order to minimize problems typical of observational data in complex terrain. Copyright

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