Seasonally changing contribution of sea ice and snow cover to uncertainty in multi-decadal Eurasian surface air temperature trends based on CESM simulations
Abstract This study investigates the impact of sea ice and snow changes on surface air temperature (SAT) trends on the multidecadal time scale over the mid- and high-latitudes of Eurasia during boreal autumn, winter and spring based on a 30-member ensemble simulations of the Community Earth System M...
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Springer Science and Business Media LLC
2021
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Online Access: | http://dx.doi.org/10.1007/s00382-021-05746-4 https://link.springer.com/content/pdf/10.1007/s00382-021-05746-4.pdf https://link.springer.com/article/10.1007/s00382-021-05746-4/fulltext.html |
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crspringernat:10.1007/s00382-021-05746-4 2023-05-15T18:17:09+02:00 Seasonally changing contribution of sea ice and snow cover to uncertainty in multi-decadal Eurasian surface air temperature trends based on CESM simulations Ding, Zhaomin Wu, Renguang National Natural Science Foundation of China 2021 http://dx.doi.org/10.1007/s00382-021-05746-4 https://link.springer.com/content/pdf/10.1007/s00382-021-05746-4.pdf https://link.springer.com/article/10.1007/s00382-021-05746-4/fulltext.html en eng Springer Science and Business Media LLC https://creativecommons.org/licenses/by/4.0 https://creativecommons.org/licenses/by/4.0 CC-BY Climate Dynamics volume 57, issue 3-4, page 917-932 ISSN 0930-7575 1432-0894 Atmospheric Science journal-article 2021 crspringernat https://doi.org/10.1007/s00382-021-05746-4 2022-01-04T15:48:00Z Abstract This study investigates the impact of sea ice and snow changes on surface air temperature (SAT) trends on the multidecadal time scale over the mid- and high-latitudes of Eurasia during boreal autumn, winter and spring based on a 30-member ensemble simulations of the Community Earth System Model (CESM). A dynamical adjustment method is used to remove the internal component of circulation-induced SAT trends. The leading mode of dynamically adjusted SAT trends is featured by same-sign anomalies extending from northern Europe to central Siberia and to the Russian Far East, respectively, during boreal spring and autumn, and confined to western Siberia during winter. The internally generated component of sea ice concentration trends over the Barents-Kara Seas contributes to the differences in the thermodynamic component of internal SAT trends across the ensemble over adjacent northern Siberia during all the three seasons. The sea ice effect is largest in autumn and smallest in winter. Eurasian snow changes contribute to the spread in dynamically adjusted SAT trends as well around the periphery of snow covered region by modulating surface heat flux changes. The snow effect is identified over northeast Europe-western Siberia in autumn, north of the Caspian Sea in winter, and over eastern Europe-northern Siberia in spring. The effects of sea ice and snow on the SAT trends are realized mainly by modulating upward shortwave and longwave radiation fluxes. Article in Journal/Newspaper Sea ice Siberia Springer Nature (via Crossref) Climate Dynamics |
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Open Polar |
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Springer Nature (via Crossref) |
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crspringernat |
language |
English |
topic |
Atmospheric Science |
spellingShingle |
Atmospheric Science Ding, Zhaomin Wu, Renguang Seasonally changing contribution of sea ice and snow cover to uncertainty in multi-decadal Eurasian surface air temperature trends based on CESM simulations |
topic_facet |
Atmospheric Science |
description |
Abstract This study investigates the impact of sea ice and snow changes on surface air temperature (SAT) trends on the multidecadal time scale over the mid- and high-latitudes of Eurasia during boreal autumn, winter and spring based on a 30-member ensemble simulations of the Community Earth System Model (CESM). A dynamical adjustment method is used to remove the internal component of circulation-induced SAT trends. The leading mode of dynamically adjusted SAT trends is featured by same-sign anomalies extending from northern Europe to central Siberia and to the Russian Far East, respectively, during boreal spring and autumn, and confined to western Siberia during winter. The internally generated component of sea ice concentration trends over the Barents-Kara Seas contributes to the differences in the thermodynamic component of internal SAT trends across the ensemble over adjacent northern Siberia during all the three seasons. The sea ice effect is largest in autumn and smallest in winter. Eurasian snow changes contribute to the spread in dynamically adjusted SAT trends as well around the periphery of snow covered region by modulating surface heat flux changes. The snow effect is identified over northeast Europe-western Siberia in autumn, north of the Caspian Sea in winter, and over eastern Europe-northern Siberia in spring. The effects of sea ice and snow on the SAT trends are realized mainly by modulating upward shortwave and longwave radiation fluxes. |
author2 |
National Natural Science Foundation of China |
format |
Article in Journal/Newspaper |
author |
Ding, Zhaomin Wu, Renguang |
author_facet |
Ding, Zhaomin Wu, Renguang |
author_sort |
Ding, Zhaomin |
title |
Seasonally changing contribution of sea ice and snow cover to uncertainty in multi-decadal Eurasian surface air temperature trends based on CESM simulations |
title_short |
Seasonally changing contribution of sea ice and snow cover to uncertainty in multi-decadal Eurasian surface air temperature trends based on CESM simulations |
title_full |
Seasonally changing contribution of sea ice and snow cover to uncertainty in multi-decadal Eurasian surface air temperature trends based on CESM simulations |
title_fullStr |
Seasonally changing contribution of sea ice and snow cover to uncertainty in multi-decadal Eurasian surface air temperature trends based on CESM simulations |
title_full_unstemmed |
Seasonally changing contribution of sea ice and snow cover to uncertainty in multi-decadal Eurasian surface air temperature trends based on CESM simulations |
title_sort |
seasonally changing contribution of sea ice and snow cover to uncertainty in multi-decadal eurasian surface air temperature trends based on cesm simulations |
publisher |
Springer Science and Business Media LLC |
publishDate |
2021 |
url |
http://dx.doi.org/10.1007/s00382-021-05746-4 https://link.springer.com/content/pdf/10.1007/s00382-021-05746-4.pdf https://link.springer.com/article/10.1007/s00382-021-05746-4/fulltext.html |
genre |
Sea ice Siberia |
genre_facet |
Sea ice Siberia |
op_source |
Climate Dynamics volume 57, issue 3-4, page 917-932 ISSN 0930-7575 1432-0894 |
op_rights |
https://creativecommons.org/licenses/by/4.0 https://creativecommons.org/licenses/by/4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1007/s00382-021-05746-4 |
container_title |
Climate Dynamics |
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1766191201316241408 |