Homogeneity assessment of Swiss snow depth series: comparison of break detection capabilities of (semi-)automatic homogenization methods
Knowledge concerning possible inhomogeneities in a data set is of key importance for any subsequent climatological analyses. Well-established relative homogenization methods developed for temperature and precipitation exist but have rarely been applied to snow-cover-related time series. We undertook...
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Online Access: | https://doi.org/10.5194/tc-16-2147-2022 https://tc.copernicus.org/articles/16/2147/2022/tc-16-2147-2022.pdf https://doaj.org/article/fd0b31e9b0184842923b7e3bab841570 |
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fttriple:oai:gotriple.eu:oai:doaj.org/article:fd0b31e9b0184842923b7e3bab841570 2023-05-15T18:32:16+02:00 Homogeneity assessment of Swiss snow depth series: comparison of break detection capabilities of (semi-)automatic homogenization methods M. Buchmann J. Coll J. Aschauer M. Begert S. Brönnimann B. Chimani G. Resch W. Schöner C. Marty 2022-06-01 https://doi.org/10.5194/tc-16-2147-2022 https://tc.copernicus.org/articles/16/2147/2022/tc-16-2147-2022.pdf https://doaj.org/article/fd0b31e9b0184842923b7e3bab841570 en eng Copernicus Publications doi:10.5194/tc-16-2147-2022 1994-0416 1994-0424 https://tc.copernicus.org/articles/16/2147/2022/tc-16-2147-2022.pdf https://doaj.org/article/fd0b31e9b0184842923b7e3bab841570 undefined The Cryosphere, Vol 16, Pp 2147-2161 (2022) geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2022 fttriple https://doi.org/10.5194/tc-16-2147-2022 2023-01-22T19:15:36Z Knowledge concerning possible inhomogeneities in a data set is of key importance for any subsequent climatological analyses. Well-established relative homogenization methods developed for temperature and precipitation exist but have rarely been applied to snow-cover-related time series. We undertook a homogeneity assessment of Swiss monthly snow depth series by running and comparing the results from three well-established semi-automatic break point detection methods (ACMANT – Adapted Caussinus-Mestre Algorithm for Networks of Temperature series, Climatol – Climate Tools, and HOMER – HOMogenizaton softwarE in R). The multi-method approach allowed us to compare the different methods and to establish more robust results using a consensus of at least two change points in close proximity to each other. We investigated 184 series of various lengths between 1930 and 2021 and ranging from 200 to 2500 m a.s.l. and found 45 valid break points in 41 of the 184 series investigated, of which 71 % could be attributed to relocations or observer changes. Metadata are helpful but not sufficient for break point verification as more than 90 % of recorded events (relocation or observer change) did not lead to valid break points. Using a combined approach (two out of three methods) is highly beneficial as it increases the confidence in identified break points in contrast to any single method, with or without metadata. Article in Journal/Newspaper The Cryosphere Unknown The Cryosphere 16 6 2147 2161 |
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geo envir M. Buchmann J. Coll J. Aschauer M. Begert S. Brönnimann B. Chimani G. Resch W. Schöner C. Marty Homogeneity assessment of Swiss snow depth series: comparison of break detection capabilities of (semi-)automatic homogenization methods |
topic_facet |
geo envir |
description |
Knowledge concerning possible inhomogeneities in a data set is of key importance for any subsequent climatological analyses. Well-established relative homogenization methods developed for temperature and precipitation exist but have rarely been applied to snow-cover-related time series. We undertook a homogeneity assessment of Swiss monthly snow depth series by running and comparing the results from three well-established semi-automatic break point detection methods (ACMANT – Adapted Caussinus-Mestre Algorithm for Networks of Temperature series, Climatol – Climate Tools, and HOMER – HOMogenizaton softwarE in R). The multi-method approach allowed us to compare the different methods and to establish more robust results using a consensus of at least two change points in close proximity to each other. We investigated 184 series of various lengths between 1930 and 2021 and ranging from 200 to 2500 m a.s.l. and found 45 valid break points in 41 of the 184 series investigated, of which 71 % could be attributed to relocations or observer changes. Metadata are helpful but not sufficient for break point verification as more than 90 % of recorded events (relocation or observer change) did not lead to valid break points. Using a combined approach (two out of three methods) is highly beneficial as it increases the confidence in identified break points in contrast to any single method, with or without metadata. |
format |
Article in Journal/Newspaper |
author |
M. Buchmann J. Coll J. Aschauer M. Begert S. Brönnimann B. Chimani G. Resch W. Schöner C. Marty |
author_facet |
M. Buchmann J. Coll J. Aschauer M. Begert S. Brönnimann B. Chimani G. Resch W. Schöner C. Marty |
author_sort |
M. Buchmann |
title |
Homogeneity assessment of Swiss snow depth series: comparison of break detection capabilities of (semi-)automatic homogenization methods |
title_short |
Homogeneity assessment of Swiss snow depth series: comparison of break detection capabilities of (semi-)automatic homogenization methods |
title_full |
Homogeneity assessment of Swiss snow depth series: comparison of break detection capabilities of (semi-)automatic homogenization methods |
title_fullStr |
Homogeneity assessment of Swiss snow depth series: comparison of break detection capabilities of (semi-)automatic homogenization methods |
title_full_unstemmed |
Homogeneity assessment of Swiss snow depth series: comparison of break detection capabilities of (semi-)automatic homogenization methods |
title_sort |
homogeneity assessment of swiss snow depth series: comparison of break detection capabilities of (semi-)automatic homogenization methods |
publisher |
Copernicus Publications |
publishDate |
2022 |
url |
https://doi.org/10.5194/tc-16-2147-2022 https://tc.copernicus.org/articles/16/2147/2022/tc-16-2147-2022.pdf https://doaj.org/article/fd0b31e9b0184842923b7e3bab841570 |
genre |
The Cryosphere |
genre_facet |
The Cryosphere |
op_source |
The Cryosphere, Vol 16, Pp 2147-2161 (2022) |
op_relation |
doi:10.5194/tc-16-2147-2022 1994-0416 1994-0424 https://tc.copernicus.org/articles/16/2147/2022/tc-16-2147-2022.pdf https://doaj.org/article/fd0b31e9b0184842923b7e3bab841570 |
op_rights |
undefined |
op_doi |
https://doi.org/10.5194/tc-16-2147-2022 |
container_title |
The Cryosphere |
container_volume |
16 |
container_issue |
6 |
container_start_page |
2147 |
op_container_end_page |
2161 |
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1766216377605029888 |