Nonstationary Time Series Prediction by Incorporating External Forces

被引:0
|
作者
王革丽 [1 ]
杨培才 [1 ]
周秀骥 [2 ]
机构
[1] Key Laboratory of Middle Atmosphere and Global Environment Observations, Institute of Atmospheric Physics, Chinese Academy of Sciences
[2] Chinese Academy of Meteorological Sciences
基金
中国国家自然科学基金;
关键词
external force; nonstationary system; climate prediction;
D O I
暂无
中图分类号
P433 [大气动力学];
学科分类号
0706 ; 070601 ;
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.
引用
收藏
页码:1601 / 1607
页数:7
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