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contributor authorDuan, Weili
contributor authorHanasaki, Naota
contributor authorShiogama, Hideo
contributor authorChen, Yaning
contributor authorZou, Shan
contributor authorNover, Daniel
contributor authorZhou, Botao
contributor authorWang, Yi
date accessioned2019-10-05T06:41:12Z
date available2019-10-05T06:41:12Z
date copyright1/24/2019 12:00:00 AM
date issued2019
identifier otherJCLI-D-18-0465.1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4263098
description abstractAbstractEvaluation of Chinese precipitation extremes is conducted based on large ensemble projections of the present climate and 4-K-warmer climates derived from a high-resolution atmospheric general circulation model. The model reproduced the overall trend and magnitude of total precipitation and extreme precipitation events for China reasonably well, revealing that this dataset can represent localized precipitation extremes. Precipitation extremes are more frequent and more severe in future projections under 4-K-warmer climates than in the representative concentration pathway 8.5 (RCP8.5) scenario of phase 5 of the Coupled Model Intercomparison Project (CMIP5). Our results show that using a large-ensemble simulation can improve the ability to estimate with high precision both the precipitation mean and the precipitation extremes compared with small numbers of simulations, and the averaged maximum yearly precipitation will be likely to increase by approximately 18% under a +4-K future in southern China compared with the past. Finally, uncertainty evaluation in future precipitation projections indicates that the component caused by the difference in six ?SST patterns is more important in southern China compared with the component due to the atmospheric internal variability. All these results could provide valuable insights in simulating and predicting precipitation extremes in China.
publisherAmerican Meteorological Society
titleEvaluation and Future Projection of Chinese Precipitation Extremes Using Large Ensemble High-Resolution Climate Simulations
typeJournal Paper
journal volume32
journal issue8
journal titleJournal of Climate
identifier doi10.1175/JCLI-D-18-0465.1
journal fristpage2169
journal lastpage2183
treeJournal of Climate:;2019:;volume 032:;issue 008
contenttypeFulltext


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