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...
Published in: | Permafrost and Periglacial Processes |
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Main Authors: | , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
2005
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Subjects: | |
Online Access: | https://ir.library.carleton.ca/pub/19153 https://doi.org/10.1002/ppp.541 |
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author | Brenning, A. (Alexander) Gruber, S. (Stephan) Hoelzle, M. (Martin) |
author_facet | Brenning, A. (Alexander) Gruber, S. (Stephan) Hoelzle, M. (Martin) |
author_sort | Brenning, A. (Alexander) |
collection | Carleton University's Institutional Repository |
container_issue | 4 |
container_start_page | 383 |
container_title | Permafrost and Periglacial Processes |
container_volume | 16 |
description | 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 |
format | Article in Journal/Newspaper |
genre | permafrost Permafrost and Periglacial Processes |
genre_facet | permafrost Permafrost and Periglacial Processes |
id | ftcarletonunivir:oai:carleton.ca:19153 |
institution | Open Polar |
language | English |
op_collection_id | ftcarletonunivir |
op_container_end_page | 393 |
op_doi | https://doi.org/10.1002/ppp.541 |
op_relation | https://ir.library.carleton.ca/pub/19153 doi:10.1002/ppp.541 |
op_rights | info:eu-repo/semantics/openAccess |
op_source | Permafrost and Periglacial Processes vol. 16 no. 4, pp. 383-393 |
publishDate | 2005 |
record_format | openpolar |
spelling | ftcarletonunivir:oai:carleton.ca:19153 2025-01-17T00:14:46+00:00 Sampling and statistical analyses of BTS measurements Brenning, A. (Alexander) Gruber, S. (Stephan) Hoelzle, M. (Martin) 2005-10-01 https://ir.library.carleton.ca/pub/19153 https://doi.org/10.1002/ppp.541 en eng https://ir.library.carleton.ca/pub/19153 doi:10.1002/ppp.541 info:eu-repo/semantics/openAccess Permafrost and Periglacial Processes vol. 16 no. 4, pp. 383-393 BTS Mountain permafrost Sampling design Spatiotemporal variability Statistical analysis info:eu-repo/semantics/article 2005 ftcarletonunivir https://doi.org/10.1002/ppp.541 2022-02-06T21:52:02Z 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 Article in Journal/Newspaper permafrost Permafrost and Periglacial Processes Carleton University's Institutional Repository Permafrost and Periglacial Processes 16 4 383 393 |
spellingShingle | BTS Mountain permafrost Sampling design Spatiotemporal variability Statistical analysis Brenning, A. (Alexander) Gruber, S. (Stephan) Hoelzle, M. (Martin) Sampling and statistical analyses of BTS measurements |
title | Sampling and statistical analyses of BTS measurements |
title_full | Sampling and statistical analyses of BTS measurements |
title_fullStr | Sampling and statistical analyses of BTS measurements |
title_full_unstemmed | Sampling and statistical analyses of BTS measurements |
title_short | Sampling and statistical analyses of BTS measurements |
title_sort | sampling and statistical analyses of bts measurements |
topic | BTS Mountain permafrost Sampling design Spatiotemporal variability Statistical analysis |
topic_facet | BTS Mountain permafrost Sampling design Spatiotemporal variability Statistical analysis |
url | https://ir.library.carleton.ca/pub/19153 https://doi.org/10.1002/ppp.541 |