ENSO Complexity Induced by State Dependence of Westerly Wind Events
Coupled dynamics between westerly wind events (WWEs) and the El Niño–Southern Oscillation (ENSO) is examined using an atmosphere–ocean coupled model with intermediate complexity. The model incorporates state-dependent stochastic noise that mimics observed WWEs, which occur at the edge of the Pacific...
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Veröffentlicht in: | Journal of climate 2017-05, Vol.30 (9), p.3401-3420 |
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description | Coupled dynamics between westerly wind events (WWEs) and the El Niño–Southern Oscillation (ENSO) is examined using an atmosphere–ocean coupled model with intermediate complexity. The model incorporates state-dependent stochastic noise that mimics observed WWEs, which occur at the edge of the Pacific warm pool when the Niño-4 sea surface temperature (SST) anomaly increases positively. The model parameter that controls the efficiency of the thermocline feedback, γ, is perturbed to elaborate the sensitivity of the results to the system’s stability. Without the noise (experiment NO), the model produces an ENSO-like regular oscillation with a 6-yr period, the variance of which increases with γ. When additive noise is introduced over the western Pacific (experiment AD), the oscillations become irregular with a dominant period of 4–6 years and the increase in the variance relative to the NO experiment depends on γ. When state-dependent noise is included (experiment SD), the oscillatory solution is also irregular, and its variance and asymmetry are increased irrespective of the value of γ. Both the additive and state-dependent noise contribute to the occurrence of two types of variability, corresponding to the eastern Pacific (EP) and central Pacific (CP) El Niños. In SD, the state dependence of the stochastic noise guarantees the existence of CP El Niño regardless of γ since the increased likelihood of WWE occurrence with Niño-4 SSTs results in a positive feedback in the central Pacific. The above results suggest that the state dependence of WWEs plays a crucial role in the asymmetry and diversity of ENSO. |
doi_str_mv | 10.1175/jcli-d-16-0406.1 |
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The model incorporates state-dependent stochastic noise that mimics observed WWEs, which occur at the edge of the Pacific warm pool when the Niño-4 sea surface temperature (SST) anomaly increases positively. The model parameter that controls the efficiency of the thermocline feedback, γ, is perturbed to elaborate the sensitivity of the results to the system’s stability. Without the noise (experiment NO), the model produces an ENSO-like regular oscillation with a 6-yr period, the variance of which increases with γ. When additive noise is introduced over the western Pacific (experiment AD), the oscillations become irregular with a dominant period of 4–6 years and the increase in the variance relative to the NO experiment depends on γ. When state-dependent noise is included (experiment SD), the oscillatory solution is also irregular, and its variance and asymmetry are increased irrespective of the value of γ. Both the additive and state-dependent noise contribute to the occurrence of two types of variability, corresponding to the eastern Pacific (EP) and central Pacific (CP) El Niños. In SD, the state dependence of the stochastic noise guarantees the existence of CP El Niño regardless of γ since the increased likelihood of WWE occurrence with Niño-4 SSTs results in a positive feedback in the central Pacific. The above results suggest that the state dependence of WWEs plays a crucial role in the asymmetry and diversity of ENSO.</description><identifier>ISSN: 0894-8755</identifier><identifier>EISSN: 1520-0442</identifier><identifier>DOI: 10.1175/jcli-d-16-0406.1</identifier><language>eng</language><publisher>Boston: American Meteorological Society</publisher><subject>Additives ; Asymmetry ; Atmosphere ; Complexity ; Dynamics ; Efficiency ; El Nino ; El Nino phenomena ; El Nino-Southern Oscillation event ; Feedback ; Noise ; Ocean currents ; Oscillations ; Positive feedback ; Probability theory ; Randomness ; Sea surface ; Sea surface temperature ; Southern Oscillation ; Stability ; Stochasticity ; Studies ; Surface temperature ; Temperature effects ; Thermocline ; Variability ; Variance ; Wind</subject><ispartof>Journal of climate, 2017-05, Vol.30 (9), p.3401-3420</ispartof><rights>2017 American Meteorological Society</rights><rights>Copyright American Meteorological Society May 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c359t-3450a5fdc986f8fabe29ac4051497ec8034db3a2f7dfd1cd24c036d47aed7bd3</citedby><cites>FETCH-LOGICAL-c359t-3450a5fdc986f8fabe29ac4051497ec8034db3a2f7dfd1cd24c036d47aed7bd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26388010$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26388010$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>315,782,786,805,3685,27933,27934,58026,58259</link.rule.ids></links><search><creatorcontrib>Hayashi, Michiya</creatorcontrib><creatorcontrib>Watanabe, Masahiro</creatorcontrib><title>ENSO Complexity Induced by State Dependence of Westerly Wind Events</title><title>Journal of climate</title><description>Coupled dynamics between westerly wind events (WWEs) and the El Niño–Southern Oscillation (ENSO) is examined using an atmosphere–ocean coupled model with intermediate complexity. The model incorporates state-dependent stochastic noise that mimics observed WWEs, which occur at the edge of the Pacific warm pool when the Niño-4 sea surface temperature (SST) anomaly increases positively. The model parameter that controls the efficiency of the thermocline feedback, γ, is perturbed to elaborate the sensitivity of the results to the system’s stability. Without the noise (experiment NO), the model produces an ENSO-like regular oscillation with a 6-yr period, the variance of which increases with γ. When additive noise is introduced over the western Pacific (experiment AD), the oscillations become irregular with a dominant period of 4–6 years and the increase in the variance relative to the NO experiment depends on γ. When state-dependent noise is included (experiment SD), the oscillatory solution is also irregular, and its variance and asymmetry are increased irrespective of the value of γ. Both the additive and state-dependent noise contribute to the occurrence of two types of variability, corresponding to the eastern Pacific (EP) and central Pacific (CP) El Niños. In SD, the state dependence of the stochastic noise guarantees the existence of CP El Niño regardless of γ since the increased likelihood of WWE occurrence with Niño-4 SSTs results in a positive feedback in the central Pacific. The above results suggest that the state dependence of WWEs plays a crucial role in the asymmetry and diversity of ENSO.</description><subject>Additives</subject><subject>Asymmetry</subject><subject>Atmosphere</subject><subject>Complexity</subject><subject>Dynamics</subject><subject>Efficiency</subject><subject>El Nino</subject><subject>El Nino phenomena</subject><subject>El Nino-Southern Oscillation event</subject><subject>Feedback</subject><subject>Noise</subject><subject>Ocean currents</subject><subject>Oscillations</subject><subject>Positive feedback</subject><subject>Probability theory</subject><subject>Randomness</subject><subject>Sea surface</subject><subject>Sea surface temperature</subject><subject>Southern Oscillation</subject><subject>Stability</subject><subject>Stochasticity</subject><subject>Studies</subject><subject>Surface temperature</subject><subject>Temperature effects</subject><subject>Thermocline</subject><subject>Variability</subject><subject>Variance</subject><subject>Wind</subject><issn>0894-8755</issn><issn>1520-0442</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNo9kM1Lw0AUxBdRsFbvXoQFz6lvv5LNUWLVSrGHFnpcNvsBCWkSd1Mx_70pFU-Pgd_MPAahewILQjLxVJumSmxC0gQ4pAtygWZEUJgUp5doBjLnicyEuEY3MdYAhKYAM1QsP7cbXHSHvnE_1TDiVWuPxllcjng76MHhF9e71rrWONx5vHdxcKEZ8b5qLV5-u3aIt-jK6ya6u787R7vX5a54T9abt1XxvE4ME_mQMC5AC29NLlMvvS4dzbXhIAjPM2ckMG5LpqnPrLfEWMoNsNTyTDublZbN0eM5tg_d13H6Q9XdMbRToyI55RmVRMiJgjNlQhdjcF71oTroMCoC6rSU-ijWK_WiSKpOSykyWR7OljoOXfjnacqkBALsFxatZb8</recordid><startdate>20170501</startdate><enddate>20170501</enddate><creator>Hayashi, Michiya</creator><creator>Watanabe, Masahiro</creator><general>American Meteorological Society</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7TG</scope><scope>7UA</scope><scope>7X2</scope><scope>7XB</scope><scope>88F</scope><scope>88I</scope><scope>8AF</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>M0K</scope><scope>M1Q</scope><scope>M2O</scope><scope>M2P</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>S0X</scope></search><sort><creationdate>20170501</creationdate><title>ENSO Complexity Induced by State Dependence of Westerly Wind Events</title><author>Hayashi, Michiya ; Watanabe, Masahiro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c359t-3450a5fdc986f8fabe29ac4051497ec8034db3a2f7dfd1cd24c036d47aed7bd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Additives</topic><topic>Asymmetry</topic><topic>Atmosphere</topic><topic>Complexity</topic><topic>Dynamics</topic><topic>Efficiency</topic><topic>El Nino</topic><topic>El Nino phenomena</topic><topic>El Nino-Southern Oscillation event</topic><topic>Feedback</topic><topic>Noise</topic><topic>Ocean currents</topic><topic>Oscillations</topic><topic>Positive feedback</topic><topic>Probability theory</topic><topic>Randomness</topic><topic>Sea surface</topic><topic>Sea surface temperature</topic><topic>Southern Oscillation</topic><topic>Stability</topic><topic>Stochasticity</topic><topic>Studies</topic><topic>Surface temperature</topic><topic>Temperature effects</topic><topic>Thermocline</topic><topic>Variability</topic><topic>Variance</topic><topic>Wind</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hayashi, Michiya</creatorcontrib><creatorcontrib>Watanabe, Masahiro</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Military Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>eLibrary</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Agricultural Science Database</collection><collection>Military Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><jtitle>Journal of climate</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hayashi, Michiya</au><au>Watanabe, Masahiro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>ENSO Complexity Induced by State Dependence of Westerly Wind Events</atitle><jtitle>Journal of climate</jtitle><date>2017-05-01</date><risdate>2017</risdate><volume>30</volume><issue>9</issue><spage>3401</spage><epage>3420</epage><pages>3401-3420</pages><issn>0894-8755</issn><eissn>1520-0442</eissn><abstract>Coupled dynamics between westerly wind events (WWEs) and the El Niño–Southern Oscillation (ENSO) is examined using an atmosphere–ocean coupled model with intermediate complexity. The model incorporates state-dependent stochastic noise that mimics observed WWEs, which occur at the edge of the Pacific warm pool when the Niño-4 sea surface temperature (SST) anomaly increases positively. The model parameter that controls the efficiency of the thermocline feedback, γ, is perturbed to elaborate the sensitivity of the results to the system’s stability. Without the noise (experiment NO), the model produces an ENSO-like regular oscillation with a 6-yr period, the variance of which increases with γ. When additive noise is introduced over the western Pacific (experiment AD), the oscillations become irregular with a dominant period of 4–6 years and the increase in the variance relative to the NO experiment depends on γ. When state-dependent noise is included (experiment SD), the oscillatory solution is also irregular, and its variance and asymmetry are increased irrespective of the value of γ. Both the additive and state-dependent noise contribute to the occurrence of two types of variability, corresponding to the eastern Pacific (EP) and central Pacific (CP) El Niños. In SD, the state dependence of the stochastic noise guarantees the existence of CP El Niño regardless of γ since the increased likelihood of WWE occurrence with Niño-4 SSTs results in a positive feedback in the central Pacific. The above results suggest that the state dependence of WWEs plays a crucial role in the asymmetry and diversity of ENSO.</abstract><cop>Boston</cop><pub>American Meteorological Society</pub><doi>10.1175/jcli-d-16-0406.1</doi><tpages>20</tpages></addata></record> |
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subjects | Additives Asymmetry Atmosphere Complexity Dynamics Efficiency El Nino El Nino phenomena El Nino-Southern Oscillation event Feedback Noise Ocean currents Oscillations Positive feedback Probability theory Randomness Sea surface Sea surface temperature Southern Oscillation Stability Stochasticity Studies Surface temperature Temperature effects Thermocline Variability Variance Wind |
title | ENSO Complexity Induced by State Dependence of Westerly Wind Events |
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