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차동현

Cha, Dong-Hyun
High-impact Weather Prediction Lab.
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dc.citation.endPage 58 -
dc.citation.number 1 -
dc.citation.startPage 45 -
dc.citation.title CLIMATE RESEARCH -
dc.citation.volume 69 -
dc.contributor.author Wu, Fu-Ting -
dc.contributor.author Wang, Shu-Yu -
dc.contributor.author Fu, Cong-Bin -
dc.contributor.author Qian, Yiun -
dc.contributor.author Gao, Yang -
dc.contributor.author Lee, Dong-Kyou -
dc.contributor.author Cha, Dong-Hyun -
dc.contributor.author Tang, Jian-Ping -
dc.contributor.author Hong, Song-You -
dc.date.accessioned 2023-12-21T23:43:11Z -
dc.date.available 2023-12-21T23:43:11Z -
dc.date.created 2016-06-24 -
dc.date.issued 2016-05 -
dc.description.abstract This study assesses the ability of 4 regional climate models (RCMs) from the Regional Model Inter-comparison Project (RMIP) and their regional multi-model ensemble, as well as their driving global climate model ECHAM5, to reproduce the summer extreme pre cipitation conditions in the years 1982 to 2000 and to project future (2052 to 2070) change over East Asian land areas under an A1B emission scenario. The results show that all models can adequately reproduce the spatial distribution of extreme heavy precipitation (R95P) with high spatial correlation (> 0.8). However, they do not perform well in simulating summer consecutive dry days (CDD). The ensemble average of multi-RCMs substantially improve model capability to simulate summer precipitation in both total and extreme categories when compared to each individual RCM. For individual RCMs, the spread of regional differences is assessed by bias distribution. The RegCM3 model simulates less extreme precipitation, in agreement with ECHAM5. This is probably due to the lack of an internal nudge process. Composite analysis of large-scale water vapor transport and geopotential height indicate that simulated R95P biases are associated with a deficiency in capturing the low-level field. For the projection of extreme wet and dry conditions under A1B emissions, most of the models predict an overall increase in heavy precipitation and CDD over East Asia, which will enhance the risk of drought disasters in the future -
dc.identifier.bibliographicCitation CLIMATE RESEARCH, v.69, no.1, pp.45 - 58 -
dc.identifier.doi 10.3354/cr01384 -
dc.identifier.issn 0936-577X -
dc.identifier.scopusid 2-s2.0-84974588529 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/19966 -
dc.identifier.url http://www.int-res.com/abstracts/cr/v69/n1/p45-58/ -
dc.identifier.wosid 000379248100004 -
dc.language 영어 -
dc.publisher INTER-RESEARCH -
dc.title Evaluation and projection of summer extreme precipitation over East Asia in the Regional Model Inter-comparison Project -
dc.type Article -
dc.description.isOpenAccess FALSE -
dc.relation.journalWebOfScienceCategory Environmental Sciences; Meteorology & Atmospheric Sciences -
dc.relation.journalResearchArea Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor Regional Model Inter-comparison Project -
dc.subject.keywordAuthor RMIP -
dc.subject.keywordAuthor Regional climate model -
dc.subject.keywordAuthor Extreme precipitation -
dc.subject.keywordAuthor Consecutive dry days -
dc.subject.keywordAuthor Evaluation and future projection -
dc.subject.keywordAuthor East Asia -
dc.subject.keywordPlus CLIMATE-CHANGE -
dc.subject.keywordPlus MONSOON PRECIPITATION -
dc.subject.keywordPlus DRIVING GCM -
dc.subject.keywordPlus CHINA -
dc.subject.keywordPlus SIMULATION -
dc.subject.keywordPlus RESOLUTION -
dc.subject.keywordPlus RCM -
dc.subject.keywordPlus SCENARIO -
dc.subject.keywordPlus DATASET -
dc.subject.keywordPlus EVENTS -

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