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The spatial and temporal analysis of precipitation concentration and dry spell in Qinghai,northwest China
Authors:Jin?Huang  Fengling?Liu  Email author" target="_blank">Yan?XueEmail author  Shanlei?Sun
Affiliation:1.College of Applied Meteorology, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Agricultural Meteorology,Nanjing University of Information Science & Technology,Nanjing,China;2.School of Environmental Science and Engineering, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control,Nanjing University of Information Science & Technology,Nanjing,China;3.Applied Hydrometeorological Research Institute, Key Laboratory of Meteorological Disaster of Ministry of Education,Nanjing University of Information Science & Technology,Nanjing,China
Abstract:Understanding precipitation variations from various aspects is important for the assessment of drought risk and the utilization of water resources. The precipitation concentration index (PCI) and the concentration index (CI) were used to investigate/quantify the heterogeneity of the monthly and daily rainfall in Qinghai province that is part of northwestern China, respectively. The precipitation concentration in Qinghai shows a significant irregularity of the monthly rainfall distribution and highly homogeneous distribution of the daily rainfall. It is found that PCI and CI show negative trends at most stations. Meanwhile, the spatial and temporal variation of nine dry spell (DS) indices are analyzed. From the spatial perspective, drought in the northwestern area is much severer than that in other areas of Qinghai. According to the results of temporal analysis by using the Mann–Kendall test, the number of very long DSs, maximum length of DS, mean length of DSs, and the total dry days of extreme DS all decrease. All these results verify that the warm dry climatic pattern in Qinghai can be changed into the warm wet climatic pattern.
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