当前位置： 首页»科研成果» 2014 张之华与John Moore在INTERNATIONAL JOURNAL OF WAVELETS, MULTIRESOLUTION AND INFORMATION PROCESSING发表研究论文 全球院

 

HAAR WAVELET ANALYSIS OF CLIMATIC TIME SERIES

 

ZHIHUA ZHANG, JOHN C. MOORE, ASLAK GRINSTED

 

College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, P. R. China;

Arctic Centre, University of Lapland, Finland;

Department of Earth Sciences, Uppsala University,Sweden;

Centre for Ice and Climate, Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark.

 

ABSTRACT

In order to extract the intrinsic information of climatic time series from background red noise, in this paper, we will first give an analytic formula on the distribution of Haar wavelet power spectra of red noise in a rigorous statistical framework. After that, by comparing the difference of wavelet power spectra of real climatic time series and red noise, we can extract intrinsic features of climatic time series. Finally, we use our method to analyze Arctic Oscillation (AO) which is a key aspect of climate variability in the Northern Hemisphere, and discover a great change in fundamental properties of the AO, commonly called a regime shift or tripping point.

 

KEYWORDS: Climatic time series; Haar wavelet analysis; red noise.

 

PUBLISHED BY: INTERNATIONAL JOURNAL OF WAVELETS, MULTIRESOLUTION AND INFORMATION PROCESSING, 2014, 12 (2): 1450020.

 

SOURCE: http://www.worldscientific.com/worldscinet/ijwmip