Empirical Mode Decomposition applied to solar irradiance, global temperature, sunspot number, and CO2 concentration data

被引：38

作者：

Barnhart, B. L. ^{[1
]}

Eichinger, W. E. ^{[1
]}

机构：

[1] Univ Iowa, Iowa City, IA 52240 USA

来源：

JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS | 2011年 / 73卷 / 13期

关键词：

Empirical Mode Decomposition (EMD); Hilbert-Huang Transform (HHT); CYCLE;

D O I：

10.1016/j.jastp.2011.04.012

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：

Empirical Mode Decomposition (EMD) is a tool that can decompose and analyze the cyclic components from oscillatory data in the time-domain. When combined with the traditional Hilbert spectral analysis, it is similar to spectral tools such as Fourier analysis, wavelet analysis, and generalized time-frequency analysis. However, the EMD method is specifically designed to analyze nonstationary data from nonlinear processes. Fluctuations of total solar irradiance, global temperature, sunspot number, and CO2 concentration are decomposed into their periodic components using the EMD method. The cyclic components of the data are analyzed and compared in the time-domain. An 11-year oscillation in global mean temperature is found and compared with the Schwabe cycle from sunspot and total solar irradiance proxy data. Also, the relative radiative forcing from different periodic components of total solar irradiance and CO2 concentration are empirically estimated. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：1771 / 1779

页数：9

共 22 条

[1] Analysis of Sunspot Variability Using the Hilbert - Huang Transform [J].