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A Global/Regional Integrated Model System-Chemistry Climate Model: 1. Simulation Characteristics

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dc.contributor.authorJeong, Yong-Cheol-
dc.contributor.authorYeh, Sang -Wook-
dc.contributor.authorLee, Seungun-
dc.contributor.authorPark, Rokjin J.-
dc.date.accessioned2021-06-22T09:26:35Z-
dc.date.available2021-06-22T09:26:35Z-
dc.date.issued2019-10-
dc.identifier.issn2333-5084-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/2135-
dc.description.abstractThis study describes the simulation characteristics of a newly developed Global/Regional Integrated Model system-Chemistry Climate Model (GRIMs-CCM), which is listed in Chemistry Climate Model Initiative as a participating model. The GRIMs-CCM was run using a standard set of forcings, and historical sea surface temperatures and sea ice concentration from the Hadley Centre were prescribed. The simulation results of GRIMs-CCM were compared to the National Center for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis data set 1. The GRIMs-CCM satisfactorily simulated the climatological (1960-2010) atmospheric features and atmospheric teleconnections resulting from tropical sea surface temperature forcing. However, the GRIMs-CCM also had some regional biases; for instance, particularly, the temperature bias over the Antarctic was noticeable. We further analyzed physical processes that caused such biases and the influence of coupled chemistry-climate processes in the GRIMs-CCM, which may provide further guidance to improve an earlier version of the GRIMs-CCM and other climate-chemistry models participating in the Chemistry Climate Model Initiative.-
dc.format.extent15-
dc.language영어-
dc.language.isoENG-
dc.publisherAmerican Geophysical Union (AGU)-
dc.titleA Global/Regional Integrated Model System-Chemistry Climate Model: 1. Simulation Characteristics-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1029/2019EA000727-
dc.identifier.scopusid2-s2.0-85074798631-
dc.identifier.wosid000493423200001-
dc.identifier.bibliographicCitationEarth and Space Science, v.6, no.10, pp 2016 - 2030-
dc.citation.titleEarth and Space Science-
dc.citation.volume6-
dc.citation.number10-
dc.citation.startPage2016-
dc.citation.endPage2030-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaAstronomy & Astrophysics-
dc.relation.journalResearchAreaGeology-
dc.relation.journalWebOfScienceCategoryAstronomy & Astrophysics-
dc.relation.journalWebOfScienceCategoryGeosciences, Multidisciplinary-
dc.subject.keywordPlusASIAN SUMMER MONSOON-
dc.subject.keywordPlusNINO-SOUTHERN OSCILLATION-
dc.subject.keywordPlusATMOSPHERIC TELECONNECTIONS-
dc.subject.keywordPlusINTERANNUAL VARIABILITY-
dc.subject.keywordPlusEAST-ASIA-
dc.subject.keywordPlusENSO-
dc.subject.keywordPlusIMPLEMENTATION-
dc.subject.keywordPlusPRECIPITATION-
dc.subject.keywordPlusAEROSOLS-
dc.subject.keywordPlusPARAMETERIZATION-
dc.subject.keywordAuthorGRIMS-CCM-
dc.subject.keywordAuthorRegional biases-
dc.subject.keywordAuthorSimulation-
dc.identifier.urlhttps://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019EA000727-
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