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Cited 8 time in webofscience Cited 6 time in scopus
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dc.contributor.authorKim, Y-
dc.contributor.authorJun, M-
dc.contributor.authorMin, SK-
dc.contributor.authorSuh, MS-
dc.contributor.authorKang, HS-
dc.date.accessioned2017-07-19T12:53:13Z-
dc.date.available2017-07-19T12:53:13Z-
dc.date.created2016-12-09-
dc.date.issued2016-05-
dc.identifier.issn1976-7633-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/36601-
dc.description.abstractCORDEX-East Asia, a branch of the coordinated regional climate downscaling experiment (CORDEX) initiative, provides high-resolution climate simulations for the domain covering East Asia. This study analyzes temperature data from regional climate models (RCMs) participating in the CORDEX - East Asia region, accounting for the spatial dependence structure of the data. In particular, we assess similarities and dissimilarities of the outputs from two RCMs, HadGEM3-RA and RegCM4, over the region and over time. A Bayesian functional analysis of variance (ANOVA) approach is used to simultaneously model the temperature patterns from the two RCMs for the current and future climate. We exploit nonstationary spatial models to handle the spatial dependence structure of the temperature variable, which depends heavily on latitude and altitude. For a seasonal comparison, we examine changes in the winter temperature in addition to the summer temperature data. We find that the temperature increase projected by RegCM4 tends to be smaller than the projection of HadGEM3-RA for summers, and that the future warming projected by HadGEM3-RA tends to be weaker for winters. Also, the results show that there will be a warming of 1-3A degrees C over the region in 45 years. More specifically, the warming pattern clearly depends on the latitude, with greater temperature increases in higher latitude areas, which implies that warming may be more severe in the northern part of the domain.-
dc.languageEnglish-
dc.publisherKorean Meteorological Society-
dc.relation.isPartOfAsia-Pacific Journal of Atmospheric Sciences-
dc.titleSpatial analysis of future East Asian seasonal temperature using two regional climate model simulations-
dc.typeArticle-
dc.identifier.doi10.1007/S13143-016-0022-Z-
dc.type.rimsART-
dc.identifier.bibliographicCitationAsia-Pacific Journal of Atmospheric Sciences, v.52, no.2, pp.237 - 249-
dc.identifier.wosid000376934700012-
dc.date.tcdate2019-02-01-
dc.citation.endPage249-
dc.citation.number2-
dc.citation.startPage237-
dc.citation.titleAsia-Pacific Journal of Atmospheric Sciences-
dc.citation.volume52-
dc.contributor.affiliatedAuthorMin, SK-
dc.identifier.scopusid2-s2.0-84971280910-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.wostc3-
dc.description.scptc0*
dc.date.scptcdate2018-05-121*
dc.type.docTypeArticle-
dc.subject.keywordAuthorBayesian hierarchical model-
dc.subject.keywordAuthorCORDEX-East Asia-
dc.subject.keywordAuthornonstationary covariance function-
dc.subject.keywordAuthorregional climate model-
dc.subject.keywordAuthorspatial regression-
dc.relation.journalWebOfScienceCategoryMeteorology & Atmospheric Sciences-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
dc.relation.journalResearchAreaMeteorology & Atmospheric Sciences-

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민승기MIN, SEUNG KI
Div of Environmental Science & Enginrg
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