Sampling and statistical analyses of BTS measurements

Alexander Brenning, Stephan Gruber and Martin Hoelzle

Permafrost and Periglacial Processes, 2005, vol. 16, issue 4, 383-393

Abstract: 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.

Date: 2005
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://doi.org/10.1002/ppp.541

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wly:perpro:v:16:y:2005:i:4:p:383-393

Access Statistics for this article

More articles in Permafrost and Periglacial Processes from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().