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Multi-scale fluctuation analysis of precipitation in Beijing by Extreme-point Symmetric Mode Decomposition

机译:极端对称模式分解北京降水量多尺度波动分析

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With the aggravation of the global climate change, the shortage of water resources in China is becoming more and more serious. Using reasonable methods to study changes in precipitation is very important for planning and management of water resources. Based on the time series of precipitation in Beijing from 1951 to 2015, the multi-scale features of precipitation are analyzed by the Extreme-point Symmetric Mode Decomposition (ESMD) method to forecast the precipitation shift. The results show that the precipitation series have periodic changes of 2.6, 4.3, 14 and 21.7 years, and the variance contribution rate of each modal component shows that the inter-annual variation dominates the precipitation in Beijing. It is predicted that precipitation in Beijing will continue to decrease in the near future.
机译:随着全球气候变化的加剧,中国水资源短缺变得越来越严重。使用合理的方法来研究降水的变化对于水资源的规划和管理非常重要。基于1951年至2015年北京降水的时间序列,通过极端对称模式分解(ESMD)方法来分析降水量的多尺度特征,以预测降水移位。结果表明,降水系列的周期性变化为2.6,4.3,14和21.7岁,每个模态组件的差异贡献率表明,年间变异占北京降水的占据统治。预测北京降水将继续在不久的将来减少。

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