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Sampling and statistical analyses of BTS measurements
Author(s) -
Brenning Alexander,
Gruber Stephan,
Hoelzle Martin
Publication year - 2005
Publication title -
permafrost and periglacial processes
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.867
H-Index - 76
eISSN - 1099-1530
pISSN - 1045-6740
DOI - 10.1002/ppp.541
Subject(s) - permafrost , sampling (signal processing) , terrain , snow , geology , statistics , physical geography , geomorphology , mathematics , cartography , computer science , geography , filter (signal processing) , oceanography , computer vision
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 © 2005 John Wiley & Sons, Ltd.