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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Bibliographic Details
Published in:Permafrost and Periglacial Processes
Main Authors: Alexander Brenning, Stephan Gruber, Martin Hoelzle
Format: Article in Journal/Newspaper
Language:unknown
Subjects:
permafrost
Online Access:https://doi.org/10.1002/ppp.541
id ftrepec:oai:RePEc:wly:perpro:v:16:y:2005:i:4:p:383-393
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spelling ftrepec:oai:RePEc:wly:perpro:v:16:y:2005:i:4:p:383-393 2023-05-15T17:57:22+02:00 Sampling and statistical analyses of BTS measurements Alexander Brenning Stephan Gruber Martin Hoelzle https://doi.org/10.1002/ppp.541 unknown https://doi.org/10.1002/ppp.541 article ftrepec https://doi.org/10.1002/ppp.541 2020-12-04T13:31:25Z 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. Article in Journal/Newspaper permafrost RePEc (Research Papers in Economics) Permafrost and Periglacial Processes 16 4 383 393
institution Open Polar
collection RePEc (Research Papers in Economics)
op_collection_id ftrepec
language unknown
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 © 2005 John Wiley & Sons, Ltd.
format Article in Journal/Newspaper
author Alexander Brenning
Stephan Gruber
Martin Hoelzle
spellingShingle Alexander Brenning
Stephan Gruber
Martin Hoelzle
Sampling and statistical analyses of BTS measurements
author_facet Alexander Brenning
Stephan Gruber
Martin Hoelzle
author_sort Alexander Brenning
title Sampling and statistical analyses of BTS measurements
title_short 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_sort sampling and statistical analyses of bts measurements
url https://doi.org/10.1002/ppp.541
genre permafrost
genre_facet permafrost
op_relation https://doi.org/10.1002/ppp.541
op_doi https://doi.org/10.1002/ppp.541
container_title Permafrost and Periglacial Processes
container_volume 16
container_issue 4
container_start_page 383
op_container_end_page 393
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