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Advances in Meteorology Volume 2017 ,2017-04-10
Response of Extreme Precipitation to Solar Activity and El Nino Events in Typical Regions of the Loess Plateau
Research Article
H. J. Li 1 , 2 , 3 J. E. Gao 1 , 2 , 3 H. C. Zhang 2 Y. X. Zhang 2 , 4 Y. Y. Zhang 5
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DOI:10.1155/2017/9823865
Received 2016-11-06, accepted for publication 2017-03-02, Published 2017-03-02
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摘要

Extreme climatic oscillation has been the subject of global attention. The purpose of this study is to explore the response of extreme precipitation to solar activity and El Nino events in typical regions of the Loess Plateau—a case study in the Yan’an area. The precipitation data was from nine weather stations in Yan’an and the sunspot number and the Southern Oscillation Index (SOI) were from 1951 to 2015. The results show that maximum precipitation occurred mainly at the peak sunspot number or 2a near it and the sunspot number minimum and valley values were not significantly correlated. The results of Morlet wavelet showed that a 41-year period of precipitation was the most obvious within the 64-year scale. Similarly, sunspot number showed a 16-year periodic variability. Correlation analyses of the 16-year and 41-year scales demonstrated that the relationships between precipitation and sunspot number were close. In addition, extreme precipitation often occurred in the year following El Nino events. According to 10-year moving average curves, precipitation generally showed a downward trend when SOI was negative. The results indicate that solar activity and El Nino events had significant impacts on precipitation in typical regions of the Loess Plateau.

授权许可

Copyright © 2017 H. J. Li et al. 2017
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

图表

Spatial distribution of the nine weather stations in the Yan’an area.

Variation in precipitation in the Yan’an area and sunspot number.

The real part, modulus, and the second power of the modulus of the wavelet coefficient contour of precipitation: (a) real part wavelet coefficient contour map of precipitation; (b) modulus of wavelet coefficient contour map of precipitation; (c) the second power of the modulus of the wavelet coefficient contour map of precipitation.

The real part, modulus, and the second power of the modulus of the wavelet coefficient contour of precipitation: (a) real part wavelet coefficient contour map of precipitation; (b) modulus of wavelet coefficient contour map of precipitation; (c) the second power of the modulus of the wavelet coefficient contour map of precipitation.

The real part, modulus, and the second power of the modulus of the wavelet coefficient contour of precipitation: (a) real part wavelet coefficient contour map of precipitation; (b) modulus of wavelet coefficient contour map of precipitation; (c) the second power of the modulus of the wavelet coefficient contour map of precipitation.

Wavelet variance and real part coefficient change in precipitation: (a) wavelet variance of precipitation; (b) real part coefficients change in precipitation on a 41-year scale.

Wavelet variance and real part coefficient change in precipitation: (a) wavelet variance of precipitation; (b) real part coefficients change in precipitation on a 41-year scale.

The real part, modulus, and the second modulus power of the wavelet coefficient contour of precipitation: (a) real part wavelet coefficient contour map of sunspot number; (b) modulus of wavelet coefficient contour map of sunspot number; (c) the second modulus power of the wavelet coefficient contour map of sunspot number.

The real part, modulus, and the second modulus power of the wavelet coefficient contour of precipitation: (a) real part wavelet coefficient contour map of sunspot number; (b) modulus of wavelet coefficient contour map of sunspot number; (c) the second modulus power of the wavelet coefficient contour map of sunspot number.

The real part, modulus, and the second modulus power of the wavelet coefficient contour of precipitation: (a) real part wavelet coefficient contour map of sunspot number; (b) modulus of wavelet coefficient contour map of sunspot number; (c) the second modulus power of the wavelet coefficient contour map of sunspot number.

Wavelet variance and real part coefficient changes of sunspot number: (a) wavelet variance of sunspot number; (b) wavelet coefficient changes of sunspot number from 1951 to 2015 on a 16-year scale.

Wavelet variance and real part coefficient changes of sunspot number: (a) wavelet variance of sunspot number; (b) wavelet coefficient changes of sunspot number from 1951 to 2015 on a 16-year scale.

Variation in precipitation at Yan’an station and the SOI index from 1951 to 2015. Note. When the SOI was negative, El Nino occurred in the corresponding year.

通讯作者

J. E. Gao.Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, Shaanxi Province 712100, China, cas.cn;Northwest A&F University, Yangling, Shaanxi Province 712100, China, nwsuaf.edu.cn;University of Chinese Academy of Sciences, Beijing 100049, China, ucas.ac.cn.gaojianen@126.com

推荐引用方式

H. J. Li,J. E. Gao,H. C. Zhang,Y. X. Zhang,Y. Y. Zhang. Response of Extreme Precipitation to Solar Activity and El Nino Events in Typical Regions of the Loess Plateau. Advances in Meteorology ,Vol.2017(2017)

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