El-Nino Southern Oscillation simulated and predicted in SNU coupled GCMs SCIE SCOPUS

DC Field Value Language
dc.contributor.author Ham, Yoo-Geun -
dc.contributor.author Kang, In-Sik -
dc.contributor.author Kim, Daehyun -
dc.contributor.author Kug, Jong-Seong -
dc.date.accessioned 2020-04-20T06:55:14Z -
dc.date.available 2020-04-20T06:55:14Z -
dc.date.created 2020-01-28 -
dc.date.issued 2012-06 -
dc.identifier.issn 0930-7575 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/3585 -
dc.description.abstract The characteristics of the El-Nino Southern Oscillation (ENSO) simulated in free integrations using two versions of the Seoul National University (SNU) ocean-atmosphere coupled global climate model (CGCM) are examined. A revised version of the SNU CGCM is developed by incorporating a reduced air-sea coupling interval (from 1 day to 2 h), a parameterization for cumulus momentum transport, a minimum entrainment rate threshold for convective plumes, and a shortened auto-conversion time scale of cloud water to raindrops. With the revised physical processes, lower tropospheric zonal wind anomalies associated with the ENSO-related sea surface temperature anomalies (SSTA) are represented with more realism than those in the original version. From too weak, the standard deviation of SST over the eastern Pacific becomes too strong in the revised version due to the enhanced air-sea coupling strength and intraseasonal variability associated with ENSO. From the oceanic side, the stronger stratification and the shallower-than-observed thermocline over the eastern Pacific also contribute to the excessive ENSO. The impacts of the revised physical processes on the seasonal predictability are investigated in two sets of the hindcast experiment performed using the two versions of CGCMs. The prediction skill measured by anomaly correlation coefficients of monthly-mean SSTA shows that the new version has a higher skill over the tropical Pacific regions compared to the old version. The better atmospheric responses to the ENSO-related SSTA in the revised version lead to the basin-wide SSTA maintained and developed in a manner that is closer to observations. The symptom of an excessively strong ENSO of the new version in the free integration is not prominent in the hindcast experiment because the thermocline depth over the eastern Pacific is maintained as initialized over the arc of time of the hindcast (7 months). -
dc.description.uri 1 -
dc.language English -
dc.publisher SPRINGER -
dc.subject SEASONAL CLIMATE PREDICTABILITY -
dc.subject SURFACE TEMPERATURE ANOMALIES -
dc.subject ZONAL ADVECTIVE FEEDBACKS -
dc.subject GENERAL-CIRCULATION MODEL -
dc.subject OCEAN-ATMOSPHERE MODELS -
dc.subject EQUATORIAL PACIFIC -
dc.subject INTRASEASONAL VARIABILITY -
dc.subject INTERCOMPARISON PROJECT -
dc.subject TROPICAL OCEAN -
dc.subject TOGA COARE -
dc.title El-Nino Southern Oscillation simulated and predicted in SNU coupled GCMs -
dc.type Article -
dc.citation.endPage 2242 -
dc.citation.startPage 2227 -
dc.citation.title CLIMATE DYNAMICS -
dc.citation.volume 38 -
dc.citation.number 11-12 -
dc.contributor.alternativeName 국종성 -
dc.identifier.bibliographicCitation CLIMATE DYNAMICS, v.38, no.11-12, pp.2227 - 2242 -
dc.identifier.doi 10.1007/s00382-011-1171-5 -
dc.identifier.scopusid 2-s2.0-84861800955 -
dc.identifier.wosid 000304696300006 -
dc.type.docType Article -
dc.description.journalClass 1 -
dc.subject.keywordPlus SEASONAL CLIMATE PREDICTABILITY -
dc.subject.keywordPlus SURFACE TEMPERATURE ANOMALIES -
dc.subject.keywordPlus ZONAL ADVECTIVE FEEDBACKS -
dc.subject.keywordPlus GENERAL-CIRCULATION MODEL -
dc.subject.keywordPlus OCEAN-ATMOSPHERE MODELS -
dc.subject.keywordPlus EQUATORIAL PACIFIC -
dc.subject.keywordPlus INTRASEASONAL VARIABILITY -
dc.subject.keywordPlus INTERCOMPARISON PROJECT -
dc.subject.keywordPlus TROPICAL OCEAN -
dc.subject.keywordPlus TOGA COARE -
dc.relation.journalWebOfScienceCategory Meteorology & Atmospheric Sciences -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Meteorology & Atmospheric Sciences -
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