Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/w13111509 |
Simulation of Extreme Precipitation in Four Climate Regions in China by General Circulation Models (GCMs): Performance and Projections | |
Zhang, Mengru; Yang, Xiaoli; Ren, Liliang; Pan, Ming; Jiang, Shanhu; Liu, Yi; Yuan, Fei; Fang, Xiuqin | |
通讯作者 | Yang, XL (corresponding author), Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210000, Peoples R China. |
来源期刊 | WATER |
EISSN | 2073-4441 |
出版年 | 2021 |
卷号 | 13期号:11 |
英文摘要 | In the context of global climate change, it is important to monitor abnormal changes in extreme precipitation events that lead to frequent floods. This research used precipitation indices to describe variations in extreme precipitation and analyzed the characteristics of extreme precipitation in four climatic (arid, semi-arid, semi-humid and humid) regions across China. The equidistant cumulative distribution function (EDCDF) method was used to downscale and bias-correct daily precipitation in eight Coupled Model Intercomparison Project Phase 5 (CMIP5) general circulation models (GCMs). From 1961 to 2005, the humid region had stronger and longer extreme precipitation compared with the other regions. In the future, the projected extreme precipitation is mainly concentrated in summer, and there will be large areas with substantial changes in maximum consecutive 5-day precipitation (Rx5) and precipitation intensity (SDII). The greatest differences between two scenarios (RCP4.5 and RCP8.5) are in semi-arid and semi-humid areas for summer precipitation anomalies. However, the area of the four regions with an increasing trend of extreme precipitation is larger under the RCP8.5 scenario than that under the RCP4.5 scenario. The increasing trend of extreme precipitation in the future is relatively pronounced, especially in humid areas, implying a potential heightened flood risk in these areas. |
英文关键词 | China climate change general circulation models extreme precipitation precipitation indices seasonal characteristic spatial and temporal unevenness |
类型 | Article |
语种 | 英语 |
开放获取类型 | gold |
收录类别 | SCI-E |
WOS记录号 | WOS:000660830900001 |
WOS关键词 | FUTURE CHANGES ; RIVER-BASIN ; TEMPERATURE ; PATTERNS ; TRENDS ; WATER ; VARIABILITY ; ENSEMBLE ; IMPACTS ; EVENTS |
WOS类目 | Environmental Sciences ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Water Resources |
来源机构 | 河海大学 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/368735 |
作者单位 | [Zhang, Mengru; Yang, Xiaoli; Ren, Liliang; Jiang, Shanhu; Liu, Yi; Yuan, Fei; Fang, Xiuqin] Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210000, Peoples R China; [Pan, Ming] Princeton Univ, Dept Civil & Environm Engn, Princeton, NJ 08544 USA |
推荐引用方式 GB/T 7714 | Zhang, Mengru,Yang, Xiaoli,Ren, Liliang,et al. Simulation of Extreme Precipitation in Four Climate Regions in China by General Circulation Models (GCMs): Performance and Projections[J]. 河海大学,2021,13(11). |
APA | Zhang, Mengru.,Yang, Xiaoli.,Ren, Liliang.,Pan, Ming.,Jiang, Shanhu.,...&Fang, Xiuqin.(2021).Simulation of Extreme Precipitation in Four Climate Regions in China by General Circulation Models (GCMs): Performance and Projections.WATER,13(11). |
MLA | Zhang, Mengru,et al."Simulation of Extreme Precipitation in Four Climate Regions in China by General Circulation Models (GCMs): Performance and Projections".WATER 13.11(2021). |
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