Quantifying the Impacts of Atmospheric Rivers on the Surface Energy Budget of the Arctic Based on Reanalysis
We present a comprehensive analysis of Arctic surface energy budget (SEB) components during atmospheric river (AR) events identified by integrated water vapor transport exceeding the monthly 85th percentile climatological threshold in 3-hourly ERA5 reanalysis data from January 1980 to December 2015....
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2024
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00071796 2024-04-14T08:07:15+00:00 Quantifying the Impacts of Atmospheric Rivers on the Surface Energy Budget of the Arctic Based on Reanalysis Zhang, Chen Cassano, John J. Seefeldt, Mark Wang, Hailong Ma, Weiming Tung, Wen-wen 2024-02 electronic https://doi.org/10.5194/egusphere-2024-320 https://noa.gwlb.de/receive/cop_mods_00071796 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00070055/egusphere-2024-320.pdf https://egusphere.copernicus.org/preprints/2024/egusphere-2024-320/egusphere-2024-320.pdf eng eng Copernicus Publications https://doi.org/10.5194/egusphere-2024-320 https://noa.gwlb.de/receive/cop_mods_00071796 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00070055/egusphere-2024-320.pdf https://egusphere.copernicus.org/preprints/2024/egusphere-2024-320/egusphere-2024-320.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2024 ftnonlinearchiv https://doi.org/10.5194/egusphere-2024-320 2024-03-19T12:18:16Z We present a comprehensive analysis of Arctic surface energy budget (SEB) components during atmospheric river (AR) events identified by integrated water vapor transport exceeding the monthly 85th percentile climatological threshold in 3-hourly ERA5 reanalysis data from January 1980 to December 2015. Analysis of average anomalies in SEB components, net SEB, and the overall AR contribution to the total seasonal SEB reveals clear seasonality and distinct land – sea – sea ice contrast patterns. Over the sea ice-covered central Arctic Ocean, ARs significantly impact net SEB, inducing substantial surface warming in fall, winter, and spring, primarily driven by large anomalies in surface downward longwave radiation. We find that ARs make a substantial relative contribution to the mean SEB in spring (32 %), exceeding their corresponding occurrence frequency (11 %). However, in other seasons, ARs contribute relatively less to the mean SEB than their frequency, indicating a diminished role compared to their occurrence frequency. Over sub-polar oceans, ARs have the most substantial positive impact on net SEB in cold seasons, mainly attributed to significant positive turbulent heat flux anomalies, with a maximum contribution to the mean SEB in spring averaging 65 %. In summer, ARs induce negative impacts on net SEB, primarily due to reduced shortwave radiation from increased cloud cover during AR events. Over continents, ARs generate smaller absolute impacts on net SEB but contribute significantly to the mean SEB in cold seasons, far surpassing their corresponding frequency, highlighting their crucial role in determining the net SEB over continents during cold seasons. Greenland, especially western Greenland, exhibits significant downward longwave radiation anomalies associated with ARs, which drive large net SEB anomalies and contribute >54 % to mean SEB, and induce amplified surface warming year-round. This holds significance for melt events, particularly during summer. This study quantifies the role of ARs on surface ... Article in Journal/Newspaper Arctic Arctic Ocean Greenland Sea ice Niedersächsisches Online-Archiv NOA Arctic Arctic Ocean Greenland |
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Open Polar |
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Niedersächsisches Online-Archiv NOA |
op_collection_id |
ftnonlinearchiv |
language |
English |
topic |
article Verlagsveröffentlichung |
spellingShingle |
article Verlagsveröffentlichung Zhang, Chen Cassano, John J. Seefeldt, Mark Wang, Hailong Ma, Weiming Tung, Wen-wen Quantifying the Impacts of Atmospheric Rivers on the Surface Energy Budget of the Arctic Based on Reanalysis |
topic_facet |
article Verlagsveröffentlichung |
description |
We present a comprehensive analysis of Arctic surface energy budget (SEB) components during atmospheric river (AR) events identified by integrated water vapor transport exceeding the monthly 85th percentile climatological threshold in 3-hourly ERA5 reanalysis data from January 1980 to December 2015. Analysis of average anomalies in SEB components, net SEB, and the overall AR contribution to the total seasonal SEB reveals clear seasonality and distinct land – sea – sea ice contrast patterns. Over the sea ice-covered central Arctic Ocean, ARs significantly impact net SEB, inducing substantial surface warming in fall, winter, and spring, primarily driven by large anomalies in surface downward longwave radiation. We find that ARs make a substantial relative contribution to the mean SEB in spring (32 %), exceeding their corresponding occurrence frequency (11 %). However, in other seasons, ARs contribute relatively less to the mean SEB than their frequency, indicating a diminished role compared to their occurrence frequency. Over sub-polar oceans, ARs have the most substantial positive impact on net SEB in cold seasons, mainly attributed to significant positive turbulent heat flux anomalies, with a maximum contribution to the mean SEB in spring averaging 65 %. In summer, ARs induce negative impacts on net SEB, primarily due to reduced shortwave radiation from increased cloud cover during AR events. Over continents, ARs generate smaller absolute impacts on net SEB but contribute significantly to the mean SEB in cold seasons, far surpassing their corresponding frequency, highlighting their crucial role in determining the net SEB over continents during cold seasons. Greenland, especially western Greenland, exhibits significant downward longwave radiation anomalies associated with ARs, which drive large net SEB anomalies and contribute >54 % to mean SEB, and induce amplified surface warming year-round. This holds significance for melt events, particularly during summer. This study quantifies the role of ARs on surface ... |
format |
Article in Journal/Newspaper |
author |
Zhang, Chen Cassano, John J. Seefeldt, Mark Wang, Hailong Ma, Weiming Tung, Wen-wen |
author_facet |
Zhang, Chen Cassano, John J. Seefeldt, Mark Wang, Hailong Ma, Weiming Tung, Wen-wen |
author_sort |
Zhang, Chen |
title |
Quantifying the Impacts of Atmospheric Rivers on the Surface Energy Budget of the Arctic Based on Reanalysis |
title_short |
Quantifying the Impacts of Atmospheric Rivers on the Surface Energy Budget of the Arctic Based on Reanalysis |
title_full |
Quantifying the Impacts of Atmospheric Rivers on the Surface Energy Budget of the Arctic Based on Reanalysis |
title_fullStr |
Quantifying the Impacts of Atmospheric Rivers on the Surface Energy Budget of the Arctic Based on Reanalysis |
title_full_unstemmed |
Quantifying the Impacts of Atmospheric Rivers on the Surface Energy Budget of the Arctic Based on Reanalysis |
title_sort |
quantifying the impacts of atmospheric rivers on the surface energy budget of the arctic based on reanalysis |
publisher |
Copernicus Publications |
publishDate |
2024 |
url |
https://doi.org/10.5194/egusphere-2024-320 https://noa.gwlb.de/receive/cop_mods_00071796 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00070055/egusphere-2024-320.pdf https://egusphere.copernicus.org/preprints/2024/egusphere-2024-320/egusphere-2024-320.pdf |
geographic |
Arctic Arctic Ocean Greenland |
geographic_facet |
Arctic Arctic Ocean Greenland |
genre |
Arctic Arctic Ocean Greenland Sea ice |
genre_facet |
Arctic Arctic Ocean Greenland Sea ice |
op_relation |
https://doi.org/10.5194/egusphere-2024-320 https://noa.gwlb.de/receive/cop_mods_00071796 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00070055/egusphere-2024-320.pdf https://egusphere.copernicus.org/preprints/2024/egusphere-2024-320/egusphere-2024-320.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/egusphere-2024-320 |
_version_ |
1796304523965235200 |