Interannual variability of summertime eddy-induced heat transport in the Western South China Sea and its formation mechanism
The interannual variability of summertime eddy-induced heat transport (EHT) in the western South China Sea (WSCS) is investigated based on the downgradient eddy diffusivity method and explored its formation mechanism. Estimations of long-term mean EHT and its monthly evolution reveal that the larges...
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| Veröffentlicht in: | Climate dynamics 2021-07, Vol.57 (1-2), p.451-468 |
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| creator | Gonaduwage, Lasitha Perera Chen, Gengxin Priyadarshana, Tilak Wang, Dongxiao Yao, Jinglong |
| description | The interannual variability of summertime eddy-induced heat transport (EHT) in the western South China Sea (WSCS) is investigated based on the downgradient eddy diffusivity method and explored its formation mechanism. Estimations of long-term mean EHT and its monthly evolution reveal that the largest EHT in the SCS occurs in the WSCS region during the summer. In the WSCS, enhanced EHT and eddy kinetic energy (EKE) levels are simultaneously observed in 1994, 1999, 2002, 2006, 2008, 2009, 2012, 2014 whereas the lower EHT and EKE levels are observed in 1995, 2000, 2001, 2003, 2004, 2007, 2010, 2015, 2017 during JAS (July, August and September) months. Analysis of the Simple Ocean Data Assimilation, version 3.3.1 (SODAv3) data along 110.75° E reveals a strong surface intensification of the summertime eastward jet (SEJ) in the EHT-strong years than the EHT-weak years. Linear stability analysis conducted by adopting a 2 ½-layer reduced gravity model shows that the increased EHT in EHT-strong years is due to the enhanced baroclinic instability caused by the strong vertical shear developed through the surface-intensification of SEJ. The cause for the interannually varying vertical shear can be sought in the interannually varying meridional temperature gradient which is influenced by the combined forcing of the meridional Ekman flux convergence, meridional geostrophic flux convergence, and convergence of the latitudinally dependent surface heat flux forcing. It is also found that the interannual variations of EHT in the SCS are partially influenced by the local wind stress curl and remote forcing from the eastern boundary. |
| doi_str_mv | 10.1007/s00382-021-05719-7 |
| format | Article |
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Estimations of long-term mean EHT and its monthly evolution reveal that the largest EHT in the SCS occurs in the WSCS region during the summer. In the WSCS, enhanced EHT and eddy kinetic energy (EKE) levels are simultaneously observed in 1994, 1999, 2002, 2006, 2008, 2009, 2012, 2014 whereas the lower EHT and EKE levels are observed in 1995, 2000, 2001, 2003, 2004, 2007, 2010, 2015, 2017 during JAS (July, August and September) months. Analysis of the Simple Ocean Data Assimilation, version 3.3.1 (SODAv3) data along 110.75° E reveals a strong surface intensification of the summertime eastward jet (SEJ) in the EHT-strong years than the EHT-weak years. Linear stability analysis conducted by adopting a 2 ½-layer reduced gravity model shows that the increased EHT in EHT-strong years is due to the enhanced baroclinic instability caused by the strong vertical shear developed through the surface-intensification of SEJ. The cause for the interannually varying vertical shear can be sought in the interannually varying meridional temperature gradient which is influenced by the combined forcing of the meridional Ekman flux convergence, meridional geostrophic flux convergence, and convergence of the latitudinally dependent surface heat flux forcing. It is also found that the interannual variations of EHT in the SCS are partially influenced by the local wind stress curl and remote forcing from the eastern boundary.</description><identifier>ISSN: 0930-7575</identifier><identifier>EISSN: 1432-0894</identifier><identifier>DOI: 10.1007/s00382-021-05719-7</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Amplification ; Annual variations ; Baroclinic instability ; Climatology ; Convergence ; Data assimilation ; Data collection ; Earth and Environmental Science ; Earth Sciences ; Eddies ; Eddy diffusion ; Eddy diffusivity ; Eddy kinetic energy ; Environmental aspects ; Fluctuations ; Geophysics/Geodesy ; Gravity ; Heat ; Heat flux ; Heat transfer ; Heat transport ; Induction heating ; Interannual variability ; Interannual variations ; Kinetic energy ; Local winds ; Microgravity ; Ocean circulation ; Ocean temperature ; Oceanic analysis ; Oceanography ; Stability ; Stability analysis ; Summer ; Temperature gradients ; Variability ; Vertical shear ; Wind stress ; Wind stress curl</subject><ispartof>Climate dynamics, 2021-07, Vol.57 (1-2), p.451-468</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021</rights><rights>COPYRIGHT 2021 Springer</rights><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c423t-4e4cdf4e8fa66dc8f4c19cde50000739a481b94829257acf745dc3f733c8f9a73</citedby><cites>FETCH-LOGICAL-c423t-4e4cdf4e8fa66dc8f4c19cde50000739a481b94829257acf745dc3f733c8f9a73</cites><orcidid>0000-0001-8778-2188 ; 0000-0003-3099-6227 ; 0000-0002-9156-798X ; 0000-0002-6227-7334</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00382-021-05719-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00382-021-05719-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Gonaduwage, Lasitha Perera</creatorcontrib><creatorcontrib>Chen, Gengxin</creatorcontrib><creatorcontrib>Priyadarshana, Tilak</creatorcontrib><creatorcontrib>Wang, Dongxiao</creatorcontrib><creatorcontrib>Yao, Jinglong</creatorcontrib><title>Interannual variability of summertime eddy-induced heat transport in the Western South China Sea and its formation mechanism</title><title>Climate dynamics</title><addtitle>Clim Dyn</addtitle><description>The interannual variability of summertime eddy-induced heat transport (EHT) in the western South China Sea (WSCS) is investigated based on the downgradient eddy diffusivity method and explored its formation mechanism. Estimations of long-term mean EHT and its monthly evolution reveal that the largest EHT in the SCS occurs in the WSCS region during the summer. In the WSCS, enhanced EHT and eddy kinetic energy (EKE) levels are simultaneously observed in 1994, 1999, 2002, 2006, 2008, 2009, 2012, 2014 whereas the lower EHT and EKE levels are observed in 1995, 2000, 2001, 2003, 2004, 2007, 2010, 2015, 2017 during JAS (July, August and September) months. Analysis of the Simple Ocean Data Assimilation, version 3.3.1 (SODAv3) data along 110.75° E reveals a strong surface intensification of the summertime eastward jet (SEJ) in the EHT-strong years than the EHT-weak years. Linear stability analysis conducted by adopting a 2 ½-layer reduced gravity model shows that the increased EHT in EHT-strong years is due to the enhanced baroclinic instability caused by the strong vertical shear developed through the surface-intensification of SEJ. The cause for the interannually varying vertical shear can be sought in the interannually varying meridional temperature gradient which is influenced by the combined forcing of the meridional Ekman flux convergence, meridional geostrophic flux convergence, and convergence of the latitudinally dependent surface heat flux forcing. It is also found that the interannual variations of EHT in the SCS are partially influenced by the local wind stress curl and remote forcing from the eastern boundary.</description><subject>Amplification</subject><subject>Annual variations</subject><subject>Baroclinic instability</subject><subject>Climatology</subject><subject>Convergence</subject><subject>Data assimilation</subject><subject>Data collection</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Eddies</subject><subject>Eddy diffusion</subject><subject>Eddy diffusivity</subject><subject>Eddy kinetic energy</subject><subject>Environmental aspects</subject><subject>Fluctuations</subject><subject>Geophysics/Geodesy</subject><subject>Gravity</subject><subject>Heat</subject><subject>Heat flux</subject><subject>Heat transfer</subject><subject>Heat transport</subject><subject>Induction heating</subject><subject>Interannual variability</subject><subject>Interannual variations</subject><subject>Kinetic energy</subject><subject>Local winds</subject><subject>Microgravity</subject><subject>Ocean circulation</subject><subject>Ocean temperature</subject><subject>Oceanic analysis</subject><subject>Oceanography</subject><subject>Stability</subject><subject>Stability analysis</subject><subject>Summer</subject><subject>Temperature gradients</subject><subject>Variability</subject><subject>Vertical shear</subject><subject>Wind stress</subject><subject>Wind stress curl</subject><issn>0930-7575</issn><issn>1432-0894</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kUuLFDEUhYMo2I7-AVcBQXBRY15VqVoOjY-GAcFWXIZMctOVoSppk9Rggz_etCVob0wWgct37s25B6GXlFxTQuTbTAjvWUMYbUgr6dDIR2hDBa-lfhCP0YYMnDSyle1T9Czne0Ko6CTboJ-7UCDpEBY94QedvL7zky8nHB3OyzxDKn4GDNaeGh_sYsDiEXTBpYryMaaCfcBlBPwNcu0U8D4uZcTb0QeN96CxDhb7krGLadbFx4BnMKMOPs_P0ROnpwwv_rxX6Ov7d1-2H5vbTx9225vbxgjGSyNAGOsE9E53nTW9E4YOxkJL6pF80KKnd4Po2cBaqY2TorWGO8l5ZQct-RV6tfY9pvh9qf9U93FJoY5UrBVtT2lHWKWuV-qgJ1A-uFg9mnotzN7EAM7X-k3XdVJw0ndV8OZCUJkCP8pBLzmr3f7zJfv6H7ZucCpjjtNyXki-BNkKmhRzTuDUMflZp5OiRJ2zVmvWqmatfmetzgb5KsoVDgdIfw3-R_ULN1esXw</recordid><startdate>20210701</startdate><enddate>20210701</enddate><creator>Gonaduwage, Lasitha Perera</creator><creator>Chen, Gengxin</creator><creator>Priyadarshana, Tilak</creator><creator>Wang, Dongxiao</creator><creator>Yao, Jinglong</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>3V.</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>7XB</scope><scope>88F</scope><scope>88I</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>M1Q</scope><scope>M2P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0001-8778-2188</orcidid><orcidid>https://orcid.org/0000-0003-3099-6227</orcidid><orcidid>https://orcid.org/0000-0002-9156-798X</orcidid><orcidid>https://orcid.org/0000-0002-6227-7334</orcidid></search><sort><creationdate>20210701</creationdate><title>Interannual variability of summertime eddy-induced heat transport in the Western South China Sea and its formation mechanism</title><author>Gonaduwage, Lasitha Perera ; 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Estimations of long-term mean EHT and its monthly evolution reveal that the largest EHT in the SCS occurs in the WSCS region during the summer. In the WSCS, enhanced EHT and eddy kinetic energy (EKE) levels are simultaneously observed in 1994, 1999, 2002, 2006, 2008, 2009, 2012, 2014 whereas the lower EHT and EKE levels are observed in 1995, 2000, 2001, 2003, 2004, 2007, 2010, 2015, 2017 during JAS (July, August and September) months. Analysis of the Simple Ocean Data Assimilation, version 3.3.1 (SODAv3) data along 110.75° E reveals a strong surface intensification of the summertime eastward jet (SEJ) in the EHT-strong years than the EHT-weak years. Linear stability analysis conducted by adopting a 2 ½-layer reduced gravity model shows that the increased EHT in EHT-strong years is due to the enhanced baroclinic instability caused by the strong vertical shear developed through the surface-intensification of SEJ. The cause for the interannually varying vertical shear can be sought in the interannually varying meridional temperature gradient which is influenced by the combined forcing of the meridional Ekman flux convergence, meridional geostrophic flux convergence, and convergence of the latitudinally dependent surface heat flux forcing. It is also found that the interannual variations of EHT in the SCS are partially influenced by the local wind stress curl and remote forcing from the eastern boundary.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00382-021-05719-7</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0001-8778-2188</orcidid><orcidid>https://orcid.org/0000-0003-3099-6227</orcidid><orcidid>https://orcid.org/0000-0002-9156-798X</orcidid><orcidid>https://orcid.org/0000-0002-6227-7334</orcidid></addata></record> |
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| subjects | Amplification Annual variations Baroclinic instability Climatology Convergence Data assimilation Data collection Earth and Environmental Science Earth Sciences Eddies Eddy diffusion Eddy diffusivity Eddy kinetic energy Environmental aspects Fluctuations Geophysics/Geodesy Gravity Heat Heat flux Heat transfer Heat transport Induction heating Interannual variability Interannual variations Kinetic energy Local winds Microgravity Ocean circulation Ocean temperature Oceanic analysis Oceanography Stability Stability analysis Summer Temperature gradients Variability Vertical shear Wind stress Wind stress curl |
| title | Interannual variability of summertime eddy-induced heat transport in the Western South China Sea and its formation mechanism |
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