Nonstationary Time Series Prediction by Incorporating External Forces

【摘要】 Almost all climate time series have some degree of nonstationarity due to external forces of the observed system.Therefore,these external forces should be taken into account when reconstructing the climate dynamics.This paper presents a novel technique in predicting nonstationary time series.The main diference of this new technique from some previous methods is that it incorporates the driving forces in the prediction model.To appraise its efectiveness,three prediction experiments were carried out using the data generated from some known classical dynamical models and a climate model with multiple external forces.Experimental results indicate that this technique is able to improve the prediction skill efectively.更多还原

【Abstract】 Almost all climate time series have some degree of nonstationarity due to external forces of the observed system. Therefore, these external forces should be taken into account when reconstructing the climate dynamics. This paper presents a novel technique in predicting nonstationary time series. The main diference of this new technique from some previous methods is that it incorporates the driving forces in the prediction model. To appraise its efectiveness, three prediction experiments were carried out using the data generated from some known classical dynamical models and a climate model with multiple external forces. Experimental results indicate that this technique is able to improve the prediction skill efectively.更多还原