Sampling and statistical analyses of BTS measurements
Basal temperature of snow (BTS) data show characteristic spatial autocorrelations at distances typically less than 200m, 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...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Text |
| Language: | English |
| Published: |
2005
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| Subjects: | |
| Online Access: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.546.9076 http://www.geo.unizh.ch/~hoelzle/brenningetal2005.pdf |
| Summary: | Basal temperature of snow (BTS) data show characteristic spatial autocorrelations at distances typically less than 200m, 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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