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Experiments of Reconstructing Discrete Atmospheric Dynamic Models from Data (I)


doi: 10.1007/BF02661295

  • 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.
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Manuscript History

Manuscript received: 10 January 1995
Manuscript revised: 10 January 1995
通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Experiments of Reconstructing Discrete Atmospheric Dynamic Models from Data (I)

  • 1. 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.

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