Estimation of future extreme precipitation changes in Xinjiang based on RegCM4.4 simulations

Tang Xiang-ling (), Lv Xin and Zhang Yanwei
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Tang Xiang-ling: Guilin University of Technology Institute of Earth Science
Lv Xin: Production and Construction Corps in Xinjiang Key Laboratory of Oasis Ecological Agriculture
Zhang Yanwei: University of Jinan

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2020, vol. 102, issue 1, No 10, 218 pages

Abstract: Abstract 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.

Keywords: Extreme precipitation; Climatic change; RegCM4.4; Xinjiang (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s11069-020-03920-1

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