Influence of the Pacific Meridional Mode on ENSO Evolution and Predictability: Asymmetric Modulation and Ocean Preconditioning

This study investigates the mechanisms behind the Pacific meridional mode (PMM) in influencing the development of El Niño–Southern Oscillation (ENSO) events and their seasonal predictability. To examine the relative importance of various factors that may modulate the efficiency of the PMM influence,...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of climate 2021-03, Vol.34 (5), p.1881-1901
Hauptverfasser: Fan, Hanjie, Huang, Bohua, Yang, Song, Dong, Wenjie
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1901
container_issue 5
container_start_page 1881
container_title Journal of climate
container_volume 34
creator Fan, Hanjie
Huang, Bohua
Yang, Song
Dong, Wenjie
description This study investigates the mechanisms behind the Pacific meridional mode (PMM) in influencing the development of El Niño–Southern Oscillation (ENSO) events and their seasonal predictability. To examine the relative importance of various factors that may modulate the efficiency of the PMM influence, a series of experiments is conducted for selected ENSO events with different intensity using the Community Earth System Model, in which ensemble predictions are made from slightly different ocean initial states but under a common prescribed PMM surface heat flux forcing. Overall, a PMM forcing matched to ENSO—that is, a positive or negative PMM prior to an El Niñoor a La Niña, respectively—plays an enhancing role, whereas a mismatched PMM forcing plays a damping role. For the matched cases, a positive PMM event enhances an El Niño more strongly than a negative PMM event enhances a La Niña. This asymmetry in influencing ENSO largely originates from the asymmetry in intensity between the positive and negative PMM events in the tropics,which can be explained by the nonlinearity in the growth and equatorward propagation of the PMM-related anomalies of sea surface temperature (SST) and surface zonal wind through both wind–evaporation–SST feedback and summer deep convection response. Our model results also indicate that the PMM acts as a modulator rather than a trigger for the occurrence of ENSO event. Furthermore, the response of ENSO to an imposed PMM forcing is modulated by the preconditioning of the upper-ocean heat content, which provides the memory for the coupled low-frequency evolution in the tropical Pacific Ocean.
doi_str_mv 10.1175/JCLI-D-20-0109.1
format Article
fullrecord <record><control><sourceid>jstor_proqu</sourceid><recordid>TN_cdi_proquest_journals_2511377474</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>27076262</jstor_id><sourcerecordid>27076262</sourcerecordid><originalsourceid>FETCH-LOGICAL-c335t-976a76545563fc171678d9fa22c321c0242d14af904e912c025341de4e00b8963</originalsourceid><addsrcrecordid>eNo9kM1LAzEQxYMoWKt3L0LA89aZbD52j1KrVlpbUM8hzWYxZd3UZFfof--Wiqdh5v3e8HiEXCNMEJW4e5ku5tlDxiADhHKCJ2SE4rBxzk7JCIqSZ4US4pxcpLQFQCYBRmQ5b-umd611NNS0-3R0bayvvaVLF33lQ2saugzVILd09vq2orOf0PTdIFDTVnQdXeVtZza-8d3-kpzVpknu6m-Oycfj7H36nC1WT_Pp_SKzeS66rFTSKCm4EDKvLSqUqqjK2jBmc4YWGGcVclOXwF2JbDiInGPluAPYFKXMx-T2-HcXw3fvUqe3oY9D1KSZQMyV4ooPFBwpG0NK0dV6F_2XiXuNoA-l6UNp-kEz0IfSNA6Wm6Nlm7oQ_3mmQEkmWf4L8h5msg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2511377474</pqid></control><display><type>article</type><title>Influence of the Pacific Meridional Mode on ENSO Evolution and Predictability: Asymmetric Modulation and Ocean Preconditioning</title><source>American Meteorological Society</source><source>Jstor Complete Legacy</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Fan, Hanjie ; Huang, Bohua ; Yang, Song ; Dong, Wenjie</creator><creatorcontrib>Fan, Hanjie ; Huang, Bohua ; Yang, Song ; Dong, Wenjie</creatorcontrib><description>This study investigates the mechanisms behind the Pacific meridional mode (PMM) in influencing the development of El Niño–Southern Oscillation (ENSO) events and their seasonal predictability. To examine the relative importance of various factors that may modulate the efficiency of the PMM influence, a series of experiments is conducted for selected ENSO events with different intensity using the Community Earth System Model, in which ensemble predictions are made from slightly different ocean initial states but under a common prescribed PMM surface heat flux forcing. Overall, a PMM forcing matched to ENSO—that is, a positive or negative PMM prior to an El Niñoor a La Niña, respectively—plays an enhancing role, whereas a mismatched PMM forcing plays a damping role. For the matched cases, a positive PMM event enhances an El Niño more strongly than a negative PMM event enhances a La Niña. This asymmetry in influencing ENSO largely originates from the asymmetry in intensity between the positive and negative PMM events in the tropics,which can be explained by the nonlinearity in the growth and equatorward propagation of the PMM-related anomalies of sea surface temperature (SST) and surface zonal wind through both wind–evaporation–SST feedback and summer deep convection response. Our model results also indicate that the PMM acts as a modulator rather than a trigger for the occurrence of ENSO event. Furthermore, the response of ENSO to an imposed PMM forcing is modulated by the preconditioning of the upper-ocean heat content, which provides the memory for the coupled low-frequency evolution in the tropical Pacific Ocean.</description><identifier>ISSN: 0894-8755</identifier><identifier>EISSN: 1520-0442</identifier><identifier>DOI: 10.1175/JCLI-D-20-0109.1</identifier><language>eng</language><publisher>Boston: American Meteorological Society</publisher><subject>Anomalies ; Asymmetry ; Convection ; Damping ; Efficiency ; El Nino ; El Nino phenomena ; El Nino-Southern Oscillation event ; Enthalpy ; Evaporation ; Evolution ; Experiments ; General circulation models ; Heat ; Heat content ; Heat flux ; Heat transfer ; Influence ; La Nina ; Nonlinear systems ; Nonlinearity ; Oceans ; Preconditioning ; Roles ; Sea surface ; Sea surface temperature ; Simulation ; Southern Oscillation ; Surface temperature ; Tropical climate ; Tropical environments ; Wind ; Zonal winds</subject><ispartof>Journal of climate, 2021-03, Vol.34 (5), p.1881-1901</ispartof><rights>2021 American Meteorological Society</rights><rights>Copyright American Meteorological Society Mar 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c335t-976a76545563fc171678d9fa22c321c0242d14af904e912c025341de4e00b8963</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/27076262$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/27076262$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,3667,27903,27904,57996,58229</link.rule.ids></links><search><creatorcontrib>Fan, Hanjie</creatorcontrib><creatorcontrib>Huang, Bohua</creatorcontrib><creatorcontrib>Yang, Song</creatorcontrib><creatorcontrib>Dong, Wenjie</creatorcontrib><title>Influence of the Pacific Meridional Mode on ENSO Evolution and Predictability: Asymmetric Modulation and Ocean Preconditioning</title><title>Journal of climate</title><description>This study investigates the mechanisms behind the Pacific meridional mode (PMM) in influencing the development of El Niño–Southern Oscillation (ENSO) events and their seasonal predictability. To examine the relative importance of various factors that may modulate the efficiency of the PMM influence, a series of experiments is conducted for selected ENSO events with different intensity using the Community Earth System Model, in which ensemble predictions are made from slightly different ocean initial states but under a common prescribed PMM surface heat flux forcing. Overall, a PMM forcing matched to ENSO—that is, a positive or negative PMM prior to an El Niñoor a La Niña, respectively—plays an enhancing role, whereas a mismatched PMM forcing plays a damping role. For the matched cases, a positive PMM event enhances an El Niño more strongly than a negative PMM event enhances a La Niña. This asymmetry in influencing ENSO largely originates from the asymmetry in intensity between the positive and negative PMM events in the tropics,which can be explained by the nonlinearity in the growth and equatorward propagation of the PMM-related anomalies of sea surface temperature (SST) and surface zonal wind through both wind–evaporation–SST feedback and summer deep convection response. Our model results also indicate that the PMM acts as a modulator rather than a trigger for the occurrence of ENSO event. Furthermore, the response of ENSO to an imposed PMM forcing is modulated by the preconditioning of the upper-ocean heat content, which provides the memory for the coupled low-frequency evolution in the tropical Pacific Ocean.</description><subject>Anomalies</subject><subject>Asymmetry</subject><subject>Convection</subject><subject>Damping</subject><subject>Efficiency</subject><subject>El Nino</subject><subject>El Nino phenomena</subject><subject>El Nino-Southern Oscillation event</subject><subject>Enthalpy</subject><subject>Evaporation</subject><subject>Evolution</subject><subject>Experiments</subject><subject>General circulation models</subject><subject>Heat</subject><subject>Heat content</subject><subject>Heat flux</subject><subject>Heat transfer</subject><subject>Influence</subject><subject>La Nina</subject><subject>Nonlinear systems</subject><subject>Nonlinearity</subject><subject>Oceans</subject><subject>Preconditioning</subject><subject>Roles</subject><subject>Sea surface</subject><subject>Sea surface temperature</subject><subject>Simulation</subject><subject>Southern Oscillation</subject><subject>Surface temperature</subject><subject>Tropical climate</subject><subject>Tropical environments</subject><subject>Wind</subject><subject>Zonal winds</subject><issn>0894-8755</issn><issn>1520-0442</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</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>eNo9kM1LAzEQxYMoWKt3L0LA89aZbD52j1KrVlpbUM8hzWYxZd3UZFfof--Wiqdh5v3e8HiEXCNMEJW4e5ku5tlDxiADhHKCJ2SE4rBxzk7JCIqSZ4US4pxcpLQFQCYBRmQ5b-umd611NNS0-3R0bayvvaVLF33lQ2saugzVILd09vq2orOf0PTdIFDTVnQdXeVtZza-8d3-kpzVpknu6m-Oycfj7H36nC1WT_Pp_SKzeS66rFTSKCm4EDKvLSqUqqjK2jBmc4YWGGcVclOXwF2JbDiInGPluAPYFKXMx-T2-HcXw3fvUqe3oY9D1KSZQMyV4ooPFBwpG0NK0dV6F_2XiXuNoA-l6UNp-kEz0IfSNA6Wm6Nlm7oQ_3mmQEkmWf4L8h5msg</recordid><startdate>20210301</startdate><enddate>20210301</enddate><creator>Fan, Hanjie</creator><creator>Huang, Bohua</creator><creator>Yang, Song</creator><creator>Dong, Wenjie</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>AEUYN</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>PRINS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>S0X</scope></search><sort><creationdate>20210301</creationdate><title>Influence of the Pacific Meridional Mode on ENSO Evolution and Predictability</title><author>Fan, Hanjie ; Huang, Bohua ; Yang, Song ; Dong, Wenjie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c335t-976a76545563fc171678d9fa22c321c0242d14af904e912c025341de4e00b8963</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Anomalies</topic><topic>Asymmetry</topic><topic>Convection</topic><topic>Damping</topic><topic>Efficiency</topic><topic>El Nino</topic><topic>El Nino phenomena</topic><topic>El Nino-Southern Oscillation event</topic><topic>Enthalpy</topic><topic>Evaporation</topic><topic>Evolution</topic><topic>Experiments</topic><topic>General circulation models</topic><topic>Heat</topic><topic>Heat content</topic><topic>Heat flux</topic><topic>Heat transfer</topic><topic>Influence</topic><topic>La Nina</topic><topic>Nonlinear systems</topic><topic>Nonlinearity</topic><topic>Oceans</topic><topic>Preconditioning</topic><topic>Roles</topic><topic>Sea surface</topic><topic>Sea surface temperature</topic><topic>Simulation</topic><topic>Southern Oscillation</topic><topic>Surface temperature</topic><topic>Tropical climate</topic><topic>Tropical environments</topic><topic>Wind</topic><topic>Zonal winds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fan, Hanjie</creatorcontrib><creatorcontrib>Huang, Bohua</creatorcontrib><creatorcontrib>Yang, Song</creatorcontrib><creatorcontrib>Dong, Wenjie</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Meteorological &amp; 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 One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; 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 &amp; 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 &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science &amp; 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 &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric &amp; 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>ProQuest Central China</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>Fan, Hanjie</au><au>Huang, Bohua</au><au>Yang, Song</au><au>Dong, Wenjie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Influence of the Pacific Meridional Mode on ENSO Evolution and Predictability: Asymmetric Modulation and Ocean Preconditioning</atitle><jtitle>Journal of climate</jtitle><date>2021-03-01</date><risdate>2021</risdate><volume>34</volume><issue>5</issue><spage>1881</spage><epage>1901</epage><pages>1881-1901</pages><issn>0894-8755</issn><eissn>1520-0442</eissn><abstract>This study investigates the mechanisms behind the Pacific meridional mode (PMM) in influencing the development of El Niño–Southern Oscillation (ENSO) events and their seasonal predictability. To examine the relative importance of various factors that may modulate the efficiency of the PMM influence, a series of experiments is conducted for selected ENSO events with different intensity using the Community Earth System Model, in which ensemble predictions are made from slightly different ocean initial states but under a common prescribed PMM surface heat flux forcing. Overall, a PMM forcing matched to ENSO—that is, a positive or negative PMM prior to an El Niñoor a La Niña, respectively—plays an enhancing role, whereas a mismatched PMM forcing plays a damping role. For the matched cases, a positive PMM event enhances an El Niño more strongly than a negative PMM event enhances a La Niña. This asymmetry in influencing ENSO largely originates from the asymmetry in intensity between the positive and negative PMM events in the tropics,which can be explained by the nonlinearity in the growth and equatorward propagation of the PMM-related anomalies of sea surface temperature (SST) and surface zonal wind through both wind–evaporation–SST feedback and summer deep convection response. Our model results also indicate that the PMM acts as a modulator rather than a trigger for the occurrence of ENSO event. Furthermore, the response of ENSO to an imposed PMM forcing is modulated by the preconditioning of the upper-ocean heat content, which provides the memory for the coupled low-frequency evolution in the tropical Pacific Ocean.</abstract><cop>Boston</cop><pub>American Meteorological Society</pub><doi>10.1175/JCLI-D-20-0109.1</doi><tpages>21</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0894-8755
ispartof Journal of climate, 2021-03, Vol.34 (5), p.1881-1901
issn 0894-8755
1520-0442
language eng
recordid cdi_proquest_journals_2511377474
source American Meteorological Society; Jstor Complete Legacy; EZB-FREE-00999 freely available EZB journals
subjects Anomalies
Asymmetry
Convection
Damping
Efficiency
El Nino
El Nino phenomena
El Nino-Southern Oscillation event
Enthalpy
Evaporation
Evolution
Experiments
General circulation models
Heat
Heat content
Heat flux
Heat transfer
Influence
La Nina
Nonlinear systems
Nonlinearity
Oceans
Preconditioning
Roles
Sea surface
Sea surface temperature
Simulation
Southern Oscillation
Surface temperature
Tropical climate
Tropical environments
Wind
Zonal winds
title Influence of the Pacific Meridional Mode on ENSO Evolution and Predictability: Asymmetric Modulation and Ocean Preconditioning
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T09%3A15%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Influence%20of%20the%20Pacific%20Meridional%20Mode%20on%20ENSO%20Evolution%20and%20Predictability:%20Asymmetric%20Modulation%20and%20Ocean%20Preconditioning&rft.jtitle=Journal%20of%20climate&rft.au=Fan,%20Hanjie&rft.date=2021-03-01&rft.volume=34&rft.issue=5&rft.spage=1881&rft.epage=1901&rft.pages=1881-1901&rft.issn=0894-8755&rft.eissn=1520-0442&rft_id=info:doi/10.1175/JCLI-D-20-0109.1&rft_dat=%3Cjstor_proqu%3E27076262%3C/jstor_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2511377474&rft_id=info:pmid/&rft_jstor_id=27076262&rfr_iscdi=true