The multi-fractal characteristics of climate variables in Beijing

被引：2
|
作者：
Feng Tao [1 ,2 ]
Fu Zun-Tao [1 ,2 ]
Mao Jiang-Yu [3 ]
机构：
[1] Peking Univ, Sch Phys, Beijing 100871, Peoples R China
[2] Peking Univ, State Key Lab Turbulence & Complex Syst, Beijing 100871, Peoples R China
[3] Chinese Acad Sci, LASG, Inst Atmospher Phys, Beijing 100029, Peoples R China
来源：
CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION | 2010年 / 53卷 / 09期
关键词：
Multi-fractal; Scaling exponent; MF-DFA; DETRENDED FLUCTUATION ANALYSIS; TIME-SERIES; MULTIFRACTAL ANALYSIS; WIND-SPEED;
D O I：
10.3969/j.issn.0001-5733.2010.09.004
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
Variables of climate system often exhibit self-similar behavior over different time scales in time series, which is also known as fractal characteristics. Multi-fractal behaviors of the long daily climate variable records in. Beijing were analyzed by using multi-fractal detrended fluctuation analysis (MF-DFA). The result indicated that most climate variables exhibit multi-fractal characteristics, but sunshine duration and diurnal temperature range show mono-fractal behaviors in Beijing. We fitted generalized Hurst exponent via a modified generalized binomial multiplicative cascade model and different widths of multi-fractal spectrum are estimated.
引用
收藏
页码：2037 / 2044
页数：8
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