Forcing and impact of the northern hemisphere continental snow cover in 1979-2014
The main drivers of the continental Northern Hemisphere snow cover are investigated in the 1979-2014 period. Four observational datasets are usedas are two large multi-model ensembles of atmosphere-only simulations with prescribed sea surface temperature (SST) and sea ice concentration (SIC). Afirst...
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ftpubman:oai:pure.mpg.de:item_3514080 2023-08-27T04:08:11+02:00 Forcing and impact of the northern hemisphere continental snow cover in 1979-2014 Gastineau, G. Frankignoul, C. Gao, Y. Liang, Y. Kwon, Y. Cherchi, A. Ghosh, R. Manzini, E. Matei, D. Mecking, J. Suo, L. Tian, T. Yang, S. Zhang, Y. 2023-05-25 application/pdf http://hdl.handle.net/21.11116/0000-000D-4514-F http://hdl.handle.net/21.11116/0000-000D-4516-D http://hdl.handle.net/21.11116/0000-000D-4517-C eng eng info:eu-repo/grantAgreement/EC/H2020/727852 info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-17-2157-2023 http://hdl.handle.net/21.11116/0000-000D-4514-F http://hdl.handle.net/21.11116/0000-000D-4516-D http://hdl.handle.net/21.11116/0000-000D-4517-C info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ The Cryosphere info:eu-repo/semantics/article 2023 ftpubman https://doi.org/10.5194/tc-17-2157-2023 2023-08-02T01:59:26Z The main drivers of the continental Northern Hemisphere snow cover are investigated in the 1979-2014 period. Four observational datasets are usedas are two large multi-model ensembles of atmosphere-only simulations with prescribed sea surface temperature (SST) and sea ice concentration (SIC). Afirst ensemble uses observed interannually varying SST and SIC conditions for 1979-2014, while a second ensemble is identical except for SIC witha repeated climatological cycle used. SST and external forcing typically explain 10 % to 25 % of the snow cover variance in modelsimulations, with a dominant forcing from the tropical and North Pacific SST during this period. In terms of the climate influence of the snow coveranomalies, both observations and models show no robust links between the November and April snow cover variability and the atmospheric circulation1 month later. On the other hand, the first mode of Eurasian snow cover variability in January, with more extended snow over western Eurasia, isfound to precede an atmospheric circulation pattern by 1 month, similar to a negative Arctic oscillation (AO). A decomposition of the variabilityin the model simulations shows that this relationship is mainly due to internal climate variability. Detailed outputs from one of the modelsindicate that the western Eurasia snow cover anomalies are preceded by a negative AO phase accompanied by a Ural blocking pattern and astratospheric polar vortex weakening. The link between the AO and the snow cover variability is strongly related to the concomitant role of thestratospheric polar vortex, with the Eurasian snow cover acting as a positive feedback for the AO variability in winter. No robust influence of theSIC variability is found, as the sea ice loss in these simulations only drives an insignificant fraction of the snow cover anomalies, with fewagreements among models. Article in Journal/Newspaper Arctic Sea ice The Cryosphere Max Planck Society: MPG.PuRe Arctic Pacific The Cryosphere 17 5 2157 2184 |
institution |
Open Polar |
collection |
Max Planck Society: MPG.PuRe |
op_collection_id |
ftpubman |
language |
English |
description |
The main drivers of the continental Northern Hemisphere snow cover are investigated in the 1979-2014 period. Four observational datasets are usedas are two large multi-model ensembles of atmosphere-only simulations with prescribed sea surface temperature (SST) and sea ice concentration (SIC). Afirst ensemble uses observed interannually varying SST and SIC conditions for 1979-2014, while a second ensemble is identical except for SIC witha repeated climatological cycle used. SST and external forcing typically explain 10 % to 25 % of the snow cover variance in modelsimulations, with a dominant forcing from the tropical and North Pacific SST during this period. In terms of the climate influence of the snow coveranomalies, both observations and models show no robust links between the November and April snow cover variability and the atmospheric circulation1 month later. On the other hand, the first mode of Eurasian snow cover variability in January, with more extended snow over western Eurasia, isfound to precede an atmospheric circulation pattern by 1 month, similar to a negative Arctic oscillation (AO). A decomposition of the variabilityin the model simulations shows that this relationship is mainly due to internal climate variability. Detailed outputs from one of the modelsindicate that the western Eurasia snow cover anomalies are preceded by a negative AO phase accompanied by a Ural blocking pattern and astratospheric polar vortex weakening. The link between the AO and the snow cover variability is strongly related to the concomitant role of thestratospheric polar vortex, with the Eurasian snow cover acting as a positive feedback for the AO variability in winter. No robust influence of theSIC variability is found, as the sea ice loss in these simulations only drives an insignificant fraction of the snow cover anomalies, with fewagreements among models. |
format |
Article in Journal/Newspaper |
author |
Gastineau, G. Frankignoul, C. Gao, Y. Liang, Y. Kwon, Y. Cherchi, A. Ghosh, R. Manzini, E. Matei, D. Mecking, J. Suo, L. Tian, T. Yang, S. Zhang, Y. |
spellingShingle |
Gastineau, G. Frankignoul, C. Gao, Y. Liang, Y. Kwon, Y. Cherchi, A. Ghosh, R. Manzini, E. Matei, D. Mecking, J. Suo, L. Tian, T. Yang, S. Zhang, Y. Forcing and impact of the northern hemisphere continental snow cover in 1979-2014 |
author_facet |
Gastineau, G. Frankignoul, C. Gao, Y. Liang, Y. Kwon, Y. Cherchi, A. Ghosh, R. Manzini, E. Matei, D. Mecking, J. Suo, L. Tian, T. Yang, S. Zhang, Y. |
author_sort |
Gastineau, G. |
title |
Forcing and impact of the northern hemisphere continental snow cover in 1979-2014 |
title_short |
Forcing and impact of the northern hemisphere continental snow cover in 1979-2014 |
title_full |
Forcing and impact of the northern hemisphere continental snow cover in 1979-2014 |
title_fullStr |
Forcing and impact of the northern hemisphere continental snow cover in 1979-2014 |
title_full_unstemmed |
Forcing and impact of the northern hemisphere continental snow cover in 1979-2014 |
title_sort |
forcing and impact of the northern hemisphere continental snow cover in 1979-2014 |
publishDate |
2023 |
url |
http://hdl.handle.net/21.11116/0000-000D-4514-F http://hdl.handle.net/21.11116/0000-000D-4516-D http://hdl.handle.net/21.11116/0000-000D-4517-C |
geographic |
Arctic Pacific |
geographic_facet |
Arctic Pacific |
genre |
Arctic Sea ice The Cryosphere |
genre_facet |
Arctic Sea ice The Cryosphere |
op_source |
The Cryosphere |
op_relation |
info:eu-repo/grantAgreement/EC/H2020/727852 info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-17-2157-2023 http://hdl.handle.net/21.11116/0000-000D-4514-F http://hdl.handle.net/21.11116/0000-000D-4516-D http://hdl.handle.net/21.11116/0000-000D-4517-C |
op_rights |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.5194/tc-17-2157-2023 |
container_title |
The Cryosphere |
container_volume |
17 |
container_issue |
5 |
container_start_page |
2157 |
op_container_end_page |
2184 |
_version_ |
1775348893542776832 |