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Nonstationary Time Series Prediction by Incorporating External Forces

机译:结合外力的非平稳时间序列预测

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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.

著录项

  • 来源
    《大气科学进展(英文版)》 |2013年第6期|1601-1607|共7页
  • 作者单位

    Key Laboratory of Middle Atmosphere and Global Environment Observations, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029;

    Key Laboratory of Middle Atmosphere and Global Environment Observations, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029;

    Chinese Academy of Meteorological Sciences, Beijing 100081;

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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