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Experiments of Reconstructing Discrete Atmospheric Dynamic Models from Data (I)
作者姓名:Lin Zhenshan  Zhu Yanyu  Deng Ziwang
作者单位:The Climatic and Global Change Institute of Nanjing University,Nanjing 210093,The Climatic and Global Change Institute of Nanjing University,Nanjing 210093,The Climatic and Global Change Institute of Nanjing University,Nanjing 210093
基金项目:This study is sponosored by National Natural Science Foundation of China.
摘    要:In this paper, we give some experimental results of our study in reconstructing discrete atmospheric dynamic models from data. After a great deal of numerical experiments, we found that the logistic map, xn +1= 1-uxn2 could be used in monthly mean temperature prediction when it was approaching the chaotic region, and its predictive results were in reverse states to the practical data. This means that the nonlinear developing behavior of the monthly mean temperature system is bifurcating back into the critical chaotic states from the chaotic ones.

收稿时间:10 May 1994

Experiments of reconstructing discrete atmospheric dynamic models from data (I)
Lin Zhenshan,Zhu Yanyu,Deng Ziwang.Experiments of Reconstructing Discrete Atmospheric Dynamic Models from Data (I)[J].Advances in Atmospheric Sciences,1995,12(1):121-125.
Authors:Lin Zhenshan  Zhu Yanyu  Deng Ziwang
Institution:TheClimaticandGlobalChangeInstituteofNanjingUniversity,Nanjing210093,TheClimaticandGlobalChangeInstituteofNanjingUniversity,Nanjing210093,TheClimaticandGlobalChangeInstituteofNanjingUniversity,Nanjing210093
Abstract:In this paper, we give some experimental results of our study in reconstructing discrete atmospheric dynamic models from data. After a great deal of numerical experiments, we found that the logistic map, xn +1= 1-uxn2 could be used in monthly mean temperature prediction when it was approaching the chaotic region, and its predictive results were in reverse states to the practical data. This means that the nonlinear developing behavior of the monthly mean temperature system is bifurcating back into the critical chaotic states from the chaotic ones.
Keywords:Reconstruction  Discrete dynamic model  Chaos  Bifurcation  Logistic map
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