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차동현

Cha, Dong-Hyun
High-impact Weather Prediction Lab.
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dc.citation.endPage 236 -
dc.citation.number 2 -
dc.citation.startPage 223 -
dc.citation.title ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES -
dc.citation.volume 52 -
dc.contributor.author Ahn, Joong-Bae -
dc.contributor.author Jo, Sera -
dc.contributor.author Suh, Myoung-Seok -
dc.contributor.author Cha, Dong-Hyun -
dc.contributor.author Lee, Dong-Kyou -
dc.contributor.author Hong, Song-You -
dc.contributor.author Min, Seung-Ki -
dc.contributor.author Park, Seong-Chan -
dc.contributor.author Kang, Hyun-Suk -
dc.date.accessioned 2023-12-21T23:44:59Z -
dc.date.available 2023-12-21T23:44:59Z -
dc.date.created 2016-05-17 -
dc.date.issued 2016-05 -
dc.description.abstract The change of extreme precipitation is assessed with the HadGEM2-AO - 5 Regional Climate Models (RCMs) chain, which is a national downscaling project undertaken cooperatively by several South Korean institutes aimed at producing regional climate change projection with fine resolution (12.5 km) around the Korean Peninsula. The downscaling domain, resolution and lateral boundary conditions are held the same among the 5 RCMs to minimize the uncertainties from model configuration. Climatological changes reveal a statistically significant increase in the mid-21st century (2046- 2070; Fut1) and the late-21st century (2076-2100; Fut2) precipitation properties related to extreme precipitation, such as precipitation intensity and average of upper 5 percentile daily precipitation, with respect to the reference period (1981-2005). Changes depending on the intensity categories also present a clear trend of decreasing light rain and increasing heavy rain. In accordance with these results, the change of 1-in-50 year maximum precipitation intensity over South Korea is estimated by the GEV method. The result suggests that the 50-year return value (RV50) will change from -32.69% to 72.7% and from -31.6% to 96.32% in Fut1 and from -31.97% to 86.25% and from -19.45% to 134.88% in Fut2 under representative concentration pathway (RCP) 4.5 and 8.5 scenarios, respectively, at the 90% confidence level. This study suggests that multi-RCMs can be used to reduce uncertainties and assess the future change of extreme precipitation more reliably. Moreover, future projection of the regional climate change contains uncertainties evoked from not only driving GCM but also RCM. Therefore, multi-GCM and multi-RCM studies are expected to provide more robust projection. -
dc.identifier.bibliographicCitation ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES, v.52, no.2, pp.223 - 236 -
dc.identifier.doi 10.1007/s13143-016-0021-0 -
dc.identifier.issn 1976-7633 -
dc.identifier.scopusid 2-s2.0-84971249956 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/19199 -
dc.identifier.url http://link.springer.com/article/10.1007%2Fs13143-016-0021-0 -
dc.identifier.wosid 000376934700011 -
dc.language 영어 -
dc.publisher KOREAN METEOROLOGICAL SOC -
dc.title Changes of precipitation extremes over South Korea projected by the 5 RCMs under RCP scenarios -
dc.type Article -
dc.description.isOpenAccess FALSE -
dc.relation.journalWebOfScienceCategory Meteorology & Atmospheric Sciences -
dc.identifier.kciid ART002111749 -
dc.relation.journalResearchArea Meteorology & Atmospheric Sciences -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.description.journalRegisteredClass kci -
dc.subject.keywordAuthor Regional climate change -
dc.subject.keywordAuthor CORDEX -
dc.subject.keywordAuthor extreme precipitation -
dc.subject.keywordAuthor RCP scenario -
dc.subject.keywordAuthor dynamical downscaling -
dc.subject.keywordPlus ASIAN SUMMER MONSOON -
dc.subject.keywordPlus CLIMATE-CHANGE -
dc.subject.keywordPlus SEASONAL PREDICTION -
dc.subject.keywordPlus BIAS CORRECTION -
dc.subject.keywordPlus EAST-ASIA -
dc.subject.keywordPlus SIMULATION -
dc.subject.keywordPlus CMIP5 -
dc.subject.keywordPlus TEMPERATURE -
dc.subject.keywordPlus IMPROVEMENT -
dc.subject.keywordPlus INDEXES -

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