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Lee, Myong-In
UNIST Climate Environment Modeling Lab.
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dc.citation.endPage 4057 -
dc.citation.number 10 -
dc.citation.startPage 4041 -
dc.citation.title INTERNATIONAL JOURNAL OF CLIMATOLOGY -
dc.citation.volume 39 -
dc.contributor.author Seo, Eunkyo -
dc.contributor.author Lee, Myong-In -
dc.contributor.author Kim, Dongmin -
dc.contributor.author Lim, Young‐Kwon -
dc.contributor.author Schubert, Siegfried D. -
dc.contributor.author Kim, Kyu‐Myong -
dc.date.accessioned 2023-12-21T18:54:35Z -
dc.date.available 2023-12-21T18:54:35Z -
dc.date.created 2019-04-18 -
dc.date.issued 2019-08 -
dc.description.abstract The Goddard Earth Observing System version 5 (GEOS-5) global climate model with a 50-km horizontal resolution is forced by observed sea surface temperature (SST) to examine the fidelity of the seasonal-mean and inter-annual variation of tropical cyclones (TCs) in the western North Pacific (WNP) and the North Atlantic (NATL). The standard Relaxed Arakawa Schubert (RAS) deep convection scheme is modified to improve the representation of TCs, where the scheme implements a stochastic limit of the cumulus entrainment rate. The modification drives mid- and upper-tropospheric cooling and low- to mid-tropospheric drying in the background state, which tends to increase atmospheric instability. This enables the model to increase convective variability on an intra-seasonal timescale and improve the simulation of intense storms. Five-member ensemble runs with the modified RAS scheme for 12 years (1998–2009) exhibit realistic spatial distributions in the climatological-mean TC development area and their pathways over WNP and NATL. The GCM is able to reproduce the inter-annual variation of accumulated cyclone energy (ACE) by prescribing yearly varying observed SST even though the individual TC intensity is still underpredicted. A sensitivity of TC activity to El Niño–Southern Oscillation (ENSO) phase is also reproduced realistically over WNP in terms of the spatial pattern changes in the main development region and TC pathways. However, the model exhibits a notable deficiency in NATL in reproducing the observed inter-annual variation of TC activity and the sensitivity to the ENSO. -
dc.identifier.bibliographicCitation INTERNATIONAL JOURNAL OF CLIMATOLOGY, v.39, no.10, pp.4041 - 4057 -
dc.identifier.doi 10.1002/joc.6058 -
dc.identifier.issn 0899-8418 -
dc.identifier.scopusid 2-s2.0-85063256184 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/26912 -
dc.identifier.url https://rmets.onlinelibrary.wiley.com/doi/full/10.1002/joc.6058 -
dc.identifier.wosid 000479031900011 -
dc.language 영어 -
dc.publisher John Wiley and Sons Ltd -
dc.title Inter-annual variation of tropical cyclones simulated by GEOS-5 AGCM with modified convection scheme -
dc.type Article -
dc.description.isOpenAccess FALSE -
dc.relation.journalWebOfScienceCategory Meteorology & Atmospheric Sciences -
dc.relation.journalResearchArea Meteorology & Atmospheric Sciences -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor accumulated cyclone energy -
dc.subject.keywordAuthor convection scheme -
dc.subject.keywordAuthor global climate model -
dc.subject.keywordAuthor inter-annual variation -
dc.subject.keywordAuthor tropical cyclone -
dc.subject.keywordPlus Atmospheric pressure -
dc.subject.keywordPlus Climatology -
dc.subject.keywordPlus Hurricanes -
dc.subject.keywordPlus Oceanography -
dc.subject.keywordPlus Sensitivity analysis -
dc.subject.keywordPlus Stochastic systems -
dc.subject.keywordPlus Storms -
dc.subject.keywordPlus Surface waters -
dc.subject.keywordPlus Tropics -
dc.subject.keywordPlus Troposphere -
dc.subject.keywordPlus Accumulated cyclone energies -
dc.subject.keywordPlus Global climate model -
dc.subject.keywordPlus Goddard earth observing systems -
dc.subject.keywordPlus Horizontal resolution -
dc.subject.keywordPlus Interannual variation -
dc.subject.keywordPlus Sea surface temperature (SST) -
dc.subject.keywordPlus Tropical cyclone -
dc.subject.keywordPlus Western North Pacific -
dc.subject.keywordPlus Climate models -

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