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The Southern Annular Mode and Southern Ocean Surface Westerly Winds in E3SM
Climate variability and change in the Southern Hemisphere (SH) are influenced by the Southern Annular Mode (SAM) and are closely related to changes in the kinematic properties of the SH surface zonal winds. The SAM and SH surface zonal winds have strong effects on the atmospheric and oceanic circula...
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Published in: | Earth and space science (Hoboken, N.J.) N.J.), 2019-12, Vol.6 (12), p.2624-2643 |
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description | Climate variability and change in the Southern Hemisphere (SH) are influenced by the Southern Annular Mode (SAM) and are closely related to changes in the kinematic properties of the SH surface zonal winds. The SAM and SH surface zonal winds have strong effects on the atmospheric and oceanic circulation system. In this study we investigate the variability and trend in the SAM and position and strength of the surface zonal wind stress (TAUX), using two ensembles of simulations covering the historical record from the Energy Exascale Earth System Model (E3SM‐HIST and Atmospheric Model Intercomparison Project) for 1979–2014. In addition, performance of two CO
2 forcing simulations from the E3SM (E3SM‐1pctCO2 and 4xCO2) is assessed to examine the sensitivity of the variability and changes in the SAM and SH surface TAUX to climate forcing. In general, all E3SM simulations tend to capture the dominant feature of the SAM pattern reasonably well. The annual SAM index in the E3SM‐HIST simulation shows a significant increasing trend. These features are similar to the trends in the strength (along with poleward shift in the position) of the annual surface TAUX. For the climatological surface TAUX position and strength, the two CO
2 forcing simulations show slightly poleward movement and stronger intensity, while the E3SM‐HIST is equatorward and weaker than observations. In the relationship between the SAM and surface TAUX, we show that the SAM index exhibits a positive (negative) relationship with the strength (position) of the surface TAUX in the variability for all seasons and annual mean.
Key Points
Climate variability and trend in the SAM and Southern Hemisphere surface zonal wind stress in E3SM simulations are assessed
Increasing CO2 leads to poleward shift and strengthening of maximum surface zonal wind stress
The SAM index variability is closely associated with the variability in the position and strength of surface zonal wind stress |
doi_str_mv | 10.1029/2019EA000663 |
format | article |
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2 forcing simulations from the E3SM (E3SM‐1pctCO2 and 4xCO2) is assessed to examine the sensitivity of the variability and changes in the SAM and SH surface TAUX to climate forcing. In general, all E3SM simulations tend to capture the dominant feature of the SAM pattern reasonably well. The annual SAM index in the E3SM‐HIST simulation shows a significant increasing trend. These features are similar to the trends in the strength (along with poleward shift in the position) of the annual surface TAUX. For the climatological surface TAUX position and strength, the two CO
2 forcing simulations show slightly poleward movement and stronger intensity, while the E3SM‐HIST is equatorward and weaker than observations. In the relationship between the SAM and surface TAUX, we show that the SAM index exhibits a positive (negative) relationship with the strength (position) of the surface TAUX in the variability for all seasons and annual mean.
Key Points
Climate variability and trend in the SAM and Southern Hemisphere surface zonal wind stress in E3SM simulations are assessed
Increasing CO2 leads to poleward shift and strengthening of maximum surface zonal wind stress
The SAM index variability is closely associated with the variability in the position and strength of surface zonal wind stress</description><identifier>ISSN: 2333-5084</identifier><identifier>EISSN: 2333-5084</identifier><identifier>DOI: 10.1029/2019EA000663</identifier><language>eng</language><publisher>Hoboken: John Wiley & Sons, Inc</publisher><subject>Climate change ; ENVIRONMENTAL SCIENCES ; Ocean circulation ; Sea level ; Studies ; Trends ; Variability</subject><ispartof>Earth and space science (Hoboken, N.J.), 2019-12, Vol.6 (12), p.2624-2643</ispartof><rights>2019. The Authors.</rights><rights>2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4367-f6823cc312c34fb41c80aff45fdccca135edf0def99a69a8ccdc17d6298d8b2e3</citedby><cites>FETCH-LOGICAL-c4367-f6823cc312c34fb41c80aff45fdccca135edf0def99a69a8ccdc17d6298d8b2e3</cites><orcidid>0000-0002-6129-2241 ; 0000-0001-7170-7511 ; 0000000171707511 ; 0000000233929954 ; 0000000261292241</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2344184435/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2344184435?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,11562,25753,27924,27925,37012,44590,46052,46476,75126</link.rule.ids><backlink>$$Uhttps://www.osti.gov/servlets/purl/1583101$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Lee, Doo Young</creatorcontrib><creatorcontrib>Petersen, Mark R.</creatorcontrib><creatorcontrib>Lin, Wuyin</creatorcontrib><creatorcontrib>Brookhaven National Lab. (BNL), Upton, NY (United States)</creatorcontrib><creatorcontrib>Los Alamos National Lab. (LANL), Los Alamos, NM (United States)</creatorcontrib><title>The Southern Annular Mode and Southern Ocean Surface Westerly Winds in E3SM</title><title>Earth and space science (Hoboken, N.J.)</title><description>Climate variability and change in the Southern Hemisphere (SH) are influenced by the Southern Annular Mode (SAM) and are closely related to changes in the kinematic properties of the SH surface zonal winds. The SAM and SH surface zonal winds have strong effects on the atmospheric and oceanic circulation system. In this study we investigate the variability and trend in the SAM and position and strength of the surface zonal wind stress (TAUX), using two ensembles of simulations covering the historical record from the Energy Exascale Earth System Model (E3SM‐HIST and Atmospheric Model Intercomparison Project) for 1979–2014. In addition, performance of two CO
2 forcing simulations from the E3SM (E3SM‐1pctCO2 and 4xCO2) is assessed to examine the sensitivity of the variability and changes in the SAM and SH surface TAUX to climate forcing. In general, all E3SM simulations tend to capture the dominant feature of the SAM pattern reasonably well. The annual SAM index in the E3SM‐HIST simulation shows a significant increasing trend. These features are similar to the trends in the strength (along with poleward shift in the position) of the annual surface TAUX. For the climatological surface TAUX position and strength, the two CO
2 forcing simulations show slightly poleward movement and stronger intensity, while the E3SM‐HIST is equatorward and weaker than observations. In the relationship between the SAM and surface TAUX, we show that the SAM index exhibits a positive (negative) relationship with the strength (position) of the surface TAUX in the variability for all seasons and annual mean.
Key Points
Climate variability and trend in the SAM and Southern Hemisphere surface zonal wind stress in E3SM simulations are assessed
Increasing CO2 leads to poleward shift and strengthening of maximum surface zonal wind stress
The SAM index variability is closely associated with the variability in the position and strength of surface zonal wind stress</description><subject>Climate change</subject><subject>ENVIRONMENTAL SCIENCES</subject><subject>Ocean circulation</subject><subject>Sea level</subject><subject>Studies</subject><subject>Trends</subject><subject>Variability</subject><issn>2333-5084</issn><issn>2333-5084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9kcFuFDEMhkcIpFaltz5ABFe2JHEmmxxX1QIVrXqYoh6jrOOwsxqSksyo2rdn6CDoiZMt-9Mn_3LTXAh-Kbi0HyUXdrvhnGsNr5pTCQCrlhv1-kV_0pzXepgZIVvNpTptvt7viXV5GvdUEtukNA2-sNsciPkU_m3ukHxi3VSiR2IPVEcqw5E99ClU1ie2he72bfMm-qHS-Z961nz7tL2_-rK6uft8fbW5WaECvV5FbSQggpAIKu6UQMN9jKqNARG9gJZC5IGitV5bbxADinXQ0ppgdpLgrLlevCH7g3ss_Q9fji773j0PcvnufBl7HMhZ45WO3sqdIaVhbXeaFOeziaBFGWbXu8WV69i7iv1IuMecEuHoRGtAcDFD7xfoseSf05zdHfJU0pzRSVBKGKWgnakPC4Ul11oo_j1NcPf7Re7li2ZcLPhTP9Dxv6zbdp1UsIZfb3mPLg</recordid><startdate>201912</startdate><enddate>201912</enddate><creator>Lee, Doo Young</creator><creator>Petersen, Mark R.</creator><creator>Lin, Wuyin</creator><general>John Wiley & Sons, Inc</general><general>American Geophysical Union (AGU)</general><scope>24P</scope><scope>WIN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>OIOZB</scope><scope>OTOTI</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-6129-2241</orcidid><orcidid>https://orcid.org/0000-0001-7170-7511</orcidid><orcidid>https://orcid.org/0000000171707511</orcidid><orcidid>https://orcid.org/0000000233929954</orcidid><orcidid>https://orcid.org/0000000261292241</orcidid></search><sort><creationdate>201912</creationdate><title>The Southern Annular Mode and Southern Ocean Surface Westerly Winds in E3SM</title><author>Lee, Doo Young ; Petersen, Mark R. ; Lin, Wuyin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4367-f6823cc312c34fb41c80aff45fdccca135edf0def99a69a8ccdc17d6298d8b2e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Climate change</topic><topic>ENVIRONMENTAL SCIENCES</topic><topic>Ocean circulation</topic><topic>Sea level</topic><topic>Studies</topic><topic>Trends</topic><topic>Variability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Doo Young</creatorcontrib><creatorcontrib>Petersen, Mark R.</creatorcontrib><creatorcontrib>Lin, Wuyin</creatorcontrib><creatorcontrib>Brookhaven National Lab. (BNL), Upton, NY (United States)</creatorcontrib><creatorcontrib>Los Alamos National Lab. (LANL), Los Alamos, NM (United States)</creatorcontrib><collection>Wiley-Blackwell Open Access Collection</collection><collection>Wiley-Blackwell Open Access Backfiles (Open Access)</collection><collection>CrossRef</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>OSTI.GOV - Hybrid</collection><collection>OSTI.GOV</collection><collection>Directory of Open Access Journals</collection><jtitle>Earth and space science (Hoboken, N.J.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Doo Young</au><au>Petersen, Mark R.</au><au>Lin, Wuyin</au><aucorp>Brookhaven National Lab. (BNL), Upton, NY (United States)</aucorp><aucorp>Los Alamos National Lab. (LANL), Los Alamos, NM (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Southern Annular Mode and Southern Ocean Surface Westerly Winds in E3SM</atitle><jtitle>Earth and space science (Hoboken, N.J.)</jtitle><date>2019-12</date><risdate>2019</risdate><volume>6</volume><issue>12</issue><spage>2624</spage><epage>2643</epage><pages>2624-2643</pages><issn>2333-5084</issn><eissn>2333-5084</eissn><abstract>Climate variability and change in the Southern Hemisphere (SH) are influenced by the Southern Annular Mode (SAM) and are closely related to changes in the kinematic properties of the SH surface zonal winds. The SAM and SH surface zonal winds have strong effects on the atmospheric and oceanic circulation system. In this study we investigate the variability and trend in the SAM and position and strength of the surface zonal wind stress (TAUX), using two ensembles of simulations covering the historical record from the Energy Exascale Earth System Model (E3SM‐HIST and Atmospheric Model Intercomparison Project) for 1979–2014. In addition, performance of two CO
2 forcing simulations from the E3SM (E3SM‐1pctCO2 and 4xCO2) is assessed to examine the sensitivity of the variability and changes in the SAM and SH surface TAUX to climate forcing. In general, all E3SM simulations tend to capture the dominant feature of the SAM pattern reasonably well. The annual SAM index in the E3SM‐HIST simulation shows a significant increasing trend. These features are similar to the trends in the strength (along with poleward shift in the position) of the annual surface TAUX. For the climatological surface TAUX position and strength, the two CO
2 forcing simulations show slightly poleward movement and stronger intensity, while the E3SM‐HIST is equatorward and weaker than observations. In the relationship between the SAM and surface TAUX, we show that the SAM index exhibits a positive (negative) relationship with the strength (position) of the surface TAUX in the variability for all seasons and annual mean.
Key Points
Climate variability and trend in the SAM and Southern Hemisphere surface zonal wind stress in E3SM simulations are assessed
Increasing CO2 leads to poleward shift and strengthening of maximum surface zonal wind stress
The SAM index variability is closely associated with the variability in the position and strength of surface zonal wind stress</abstract><cop>Hoboken</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1029/2019EA000663</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0002-6129-2241</orcidid><orcidid>https://orcid.org/0000-0001-7170-7511</orcidid><orcidid>https://orcid.org/0000000171707511</orcidid><orcidid>https://orcid.org/0000000233929954</orcidid><orcidid>https://orcid.org/0000000261292241</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Climate change ENVIRONMENTAL SCIENCES Ocean circulation Sea level Studies Trends Variability |
title | The Southern Annular Mode and Southern Ocean Surface Westerly Winds in E3SM |
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