Published online in Wiley InterScience (www.interscience.wiley.com). DOI:10.1002/ppp.541 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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| Format: | Text |
| Language: | English |
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| Online Access: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.494.5174 http://www.geo.uzh.ch/~stgruber/pubs/2005_brenning-PPP.pdf |
| 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 measure-ment program appears critical in order to minimize problems typical of observational data in complex |
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