Eurasian snow depth in long-term climate reanalyses
Snow cover variability has significant effects on local and global climate evolution. By changing surface energy fluxes and hydrological conditions, changes in snow cover can alter atmospheric circulation and lead to remote climate effects. To document such multi-scale climate effects, atmospheric r...
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Online Access: | https://doi.org/10.5194/tc-11-923-2017 http://www.the-cryosphere.net/11/923/2017/tc-11-923-2017.pdf https://doaj.org/article/cfac0d8ed74d4811a92324a60d336ccf |
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fttriple:oai:gotriple.eu:oai:doaj.org/article:cfac0d8ed74d4811a92324a60d336ccf 2023-05-15T18:32:23+02:00 Eurasian snow depth in long-term climate reanalyses M. Wegmann Y. Orsolini E. Dutra O. Bulygina A. Sterin S. Brönnimann 2017-04-01 https://doi.org/10.5194/tc-11-923-2017 http://www.the-cryosphere.net/11/923/2017/tc-11-923-2017.pdf https://doaj.org/article/cfac0d8ed74d4811a92324a60d336ccf en eng Copernicus Publications 1994-0416 1994-0424 doi:10.5194/tc-11-923-2017 http://www.the-cryosphere.net/11/923/2017/tc-11-923-2017.pdf https://doaj.org/article/cfac0d8ed74d4811a92324a60d336ccf undefined The Cryosphere, Vol 11, Iss 2, Pp 923-935 (2017) geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2017 fttriple https://doi.org/10.5194/tc-11-923-2017 2023-01-22T19:31:01Z Snow cover variability has significant effects on local and global climate evolution. By changing surface energy fluxes and hydrological conditions, changes in snow cover can alter atmospheric circulation and lead to remote climate effects. To document such multi-scale climate effects, atmospheric reanalysis and derived products offer the opportunity to analyze snow variability in great detail far back to the early 20th century. So far only little is know about their quality. Comparing snow depth in four long-term reanalysis datasets with Russian in situ snow depth data, we find a moderately high daily correlation (around 0.6–0.7), which is comparable to correlations for the recent era (1981–2010), and a good representation of sub-decadal variability. However, the representation of pre-1950 inter-decadal snow variability is questionable, since reanalysis products divert towards different base states. Limited availability of independent long-term snow data makes it difficult to assess the exact cause for this bifurcation in snow states, but initial investigations point towards representation of the atmosphere rather than differences in assimilated data or snow schemes. This study demonstrates the ability of long-term reanalysis to reproduce snow variability accordingly. Article in Journal/Newspaper The Cryosphere Unknown The Cryosphere 11 2 923 935 |
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English |
topic |
geo envir |
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geo envir M. Wegmann Y. Orsolini E. Dutra O. Bulygina A. Sterin S. Brönnimann Eurasian snow depth in long-term climate reanalyses |
topic_facet |
geo envir |
description |
Snow cover variability has significant effects on local and global climate evolution. By changing surface energy fluxes and hydrological conditions, changes in snow cover can alter atmospheric circulation and lead to remote climate effects. To document such multi-scale climate effects, atmospheric reanalysis and derived products offer the opportunity to analyze snow variability in great detail far back to the early 20th century. So far only little is know about their quality. Comparing snow depth in four long-term reanalysis datasets with Russian in situ snow depth data, we find a moderately high daily correlation (around 0.6–0.7), which is comparable to correlations for the recent era (1981–2010), and a good representation of sub-decadal variability. However, the representation of pre-1950 inter-decadal snow variability is questionable, since reanalysis products divert towards different base states. Limited availability of independent long-term snow data makes it difficult to assess the exact cause for this bifurcation in snow states, but initial investigations point towards representation of the atmosphere rather than differences in assimilated data or snow schemes. This study demonstrates the ability of long-term reanalysis to reproduce snow variability accordingly. |
format |
Article in Journal/Newspaper |
author |
M. Wegmann Y. Orsolini E. Dutra O. Bulygina A. Sterin S. Brönnimann |
author_facet |
M. Wegmann Y. Orsolini E. Dutra O. Bulygina A. Sterin S. Brönnimann |
author_sort |
M. Wegmann |
title |
Eurasian snow depth in long-term climate reanalyses |
title_short |
Eurasian snow depth in long-term climate reanalyses |
title_full |
Eurasian snow depth in long-term climate reanalyses |
title_fullStr |
Eurasian snow depth in long-term climate reanalyses |
title_full_unstemmed |
Eurasian snow depth in long-term climate reanalyses |
title_sort |
eurasian snow depth in long-term climate reanalyses |
publisher |
Copernicus Publications |
publishDate |
2017 |
url |
https://doi.org/10.5194/tc-11-923-2017 http://www.the-cryosphere.net/11/923/2017/tc-11-923-2017.pdf https://doaj.org/article/cfac0d8ed74d4811a92324a60d336ccf |
genre |
The Cryosphere |
genre_facet |
The Cryosphere |
op_source |
The Cryosphere, Vol 11, Iss 2, Pp 923-935 (2017) |
op_relation |
1994-0416 1994-0424 doi:10.5194/tc-11-923-2017 http://www.the-cryosphere.net/11/923/2017/tc-11-923-2017.pdf https://doaj.org/article/cfac0d8ed74d4811a92324a60d336ccf |
op_rights |
undefined |
op_doi |
https://doi.org/10.5194/tc-11-923-2017 |
container_title |
The Cryosphere |
container_volume |
11 |
container_issue |
2 |
container_start_page |
923 |
op_container_end_page |
935 |
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1766216495457632256 |