globalchange  > 气候变化与战略
DOI: 10.1007/s11069-020-03920-1
论文题名:
Estimation of future extreme precipitation changes in Xinjiang based on RegCM4.4 simulations
作者: Xiang-ling T.; Xin L.; Yanwei Z.
刊名: Natural Hazards
ISSN: 0921030X
出版年: 2020
卷: 102, 期:1
起始页码: 201
结束页码: 218
语种: 英语
中文关键词: Climatic change ; Extreme precipitation ; RegCM4.4 ; Xinjiang
英文关键词: climate modeling ; computer simulation ; estimation method ; extreme event ; future prospect ; numerical model ; precipitation (chemistry) ; regional climate ; Tien Shan
英文摘要: Based on IPCC mid- and high-greenhouse gas emission scenarios, we have been performed by using a CMIP5 GCM ensemble to drive the high resolution of Regional Climate Model RegCM4.4, and this study has assessed the model ability for simulating extreme precipitation indices and analyzed possible future changes in 2071–2100 under the A2 emissions scenario. Results indicate that RegCM4.4 performs well in the simulation of extreme precipitation indices and RegCM4.4 model can better reproduce the spatial distribution of extreme precipitation in Xinjiang, but this model is less effective in the Tian Shan Mountains due to topography and altitude. Prediction results show the future precipitation extreme simulation of Xinjiang indicates a tendency that the drought in Xinjiang eases relatively, showing a spatial pattern that the precipitation is gradually reduced from the northwest, the southwest to the southeast; RegCM4.4 simulation results show that indices of rainy days (RR1),number of heavy precipitation days (R10mm), maximum 5-day precipitation (RX5day), very wet day precipitation (R95p), and rainstorm rate (R95pTOT) all show an increasing trend that is more obvious in winter. In Xinjiang, the increase in extreme precipitation would not be entirely beneficial. Too much extreme precipitation will not only challenge the carrying capacity of water conservancy facilities and increase the difficulties in managing water resource, but also induce the heavy precipitation-related disasters. © 2020, Springer Nature B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/168803
Appears in Collections:气候变化与战略

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作者单位: Guilin University of Technology Institute of Earth Science, Guilin, 541004, China; Production and Construction Corps in Xinjiang Key Laboratory of Oasis Ecological Agriculture, Shihezi, 832003, China; Business School, University of Jinan, Jinan, 250002, China

Recommended Citation:
Xiang-ling T.,Xin L.,Yanwei Z.. Estimation of future extreme precipitation changes in Xinjiang based on RegCM4.4 simulations[J]. Natural Hazards,2020-01-01,102(1)
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