期刊文献+

南京地区夏季暴雨年际变化与大气环流的联系 被引量:2

Principal Modes of the Heavy Rainfall over Nanjing in Summer and Its Relationship to Atmospheric Circulation
下载PDF
导出
摘要 EEMD(集合经验模态分解)方法在处理非线性及非平稳时间序列时表现出了很大的优势和应用潜力。利用EEMD方法研究南京地区夏季暴雨年际变化周期,对55年(1946—2000)的南京地区夏季暴雨频数进行分解,分别得到一系列模式,其中包含有(2—3)年周期分量和7年左右周期分量,而且(2—3)年周期分量幅度较大,变化特征与暴雨频数原始数据变化具有很高的相似性。不同于传统方法,EEMD方法给出了暴雨频数在不同时间尺度上各自分离的变化特征。这两种时间变化模态对应于不同的200hPa环流型,前者主要作用区域在南亚和欧亚大陆到西太平洋的副热带地区,而后者相关区域在西太平洋热带和亚洲中纬度地区。 EEMD(Ensemble Empirical Mode Decomposition) technique has indicated the advantages and potentials in applications related to processing the nonlinear and non-stationary time series.EEMD method was adopted to study the interannual variation of the heavy rainfall in Nanjing summer.Using the EEMD method,the numbers of the heavy rainfall in Nanjing for 55 years(1946—2000) can be decomposed into a series of modes,including(2—3) years periodic(quasi-biennial oscillation,QBO) component,and 7-year component.Among those,the(2—3) year periodic with the larger amplitude has the high correlations with original numbers of the heavy rainfall.In a nutshell,the EEMD method other than the traditional and conventional methods can bring us the isolated characteristics of the variations of the heavy rainfall on various time scales.These two modes correspond to the different regions of influence for the zonal wind at 200 hPa.The former is over the South Asia and subtropical western Pacific and Eurasia continent,while the latter is over the tropical western Pacific and the mid-latitude of Eurasia.
出处 《科学技术与工程》 2010年第33期8214-8217,共4页 Science Technology and Engineering
关键词 南京地区 暴雨 EEMD方法 时间变化 环流 Nanjing heavy rainfall ensemble empirical mode decomposition method(EEMD) temporal variation circulation
  • 相关文献

参考文献7

  • 1张庆云,陶诗言,彭京备.我国灾害性天气气候事件成因机理的研究进展[J].大气科学,2008,32(4):815-825. 被引量:78
  • 2Huang N E,Shen Z,Long S R,et al.The empirical mode decomposition and the Hilbert spect rum for nonlinear and non-stationary time series analysis.Proc Roy Soc London,1998;454A:903-995.
  • 3Flandrin P,Rilling G,Goncalves P.Empirical mode decomposition as a filter bank.IEEE Signal Processing Letters,2004;11:112-114.
  • 4Wu Z,Huang N E.A study of the characteristics of white noise using the empirical mode deomposition method.Proc Roy Soc London,2004; 460A:1597-1611.
  • 5Huang N E,Wu Z.A review on Hilbert-Huang transform:method and its applications to geophysical studies.Rev Geophys,2008;46 RG2006,doi:1011029/ 2007RG000228.
  • 6Wu Z,Huang N E.Ensemble empirical mode decomposition:a noise-assisted data analysis method.Advances in Adaptive Data Analysis,2009; 1:1-41.
  • 7Schickedanz P T,Bowen E G.The computation of climatological power spectra.J Appl Meteorol,1977; 16:359-367.

二级参考文献64

共引文献77

同被引文献29

引证文献2

二级引证文献12

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部