大气科学进展（英文版）
大氣科學進展（英文版）
대기과학진전（영문판）
ADVANCES IN ATMOSPHERIC SCIENCES
2010年
4期
845-854
,共10页
杨培才%王革丽%卞建春%周秀骥
楊培纔%王革麗%卞建春%週秀驥
양배재%왕혁려%변건춘%주수기
非平稳时间序列%经验模式分解%气候预测%序列预测%非线性相互作用%隔离元件%模式分解法%非平稳性
非平穩時間序列%經驗模式分解%氣候預測%序列預測%非線性相互作用%隔離元件%模式分解法%非平穩性
비평은시간서렬%경험모식분해%기후예측%서렬예측%비선성상호작용%격리원건%모식분해법%비평은성
EMD%nonstationarity%nonlinear system%climate prediction%time series prediction
This paper proposes a new approach which we refer to as ＂segregated prediction＂ to predict climate time series which are nonstationary. This approach is based on the empirical mode decomposition method （EMD）, which can decompose a time signal into a finite and usually small number of basic oscillatory components. To test the capabilities of this approach, some prediction experiments are carried out for several climate time series. The experimental results show that this approach can decompose the nonstationarity of the climate time series and segregate nonlinear interactions between the different mode components, which thereby is able to improve prediction accuracy of these original climate time series.
