期刊文献+

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

Experiments of Reconstructing Discrete Atmospheric Dynamic Models from Data (I)
下载PDF
导出
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. 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.
出处 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 1995年第1期121-125,共5页 大气科学进展(英文版)
基金 This study is sponosored by National Natural Science Foundation of China.
关键词 RECONSTRUCTION Discrete dynamic model CHAOS BIFURCATION Logistic map Reconstruction, Discrete dynamic model, Chaos, Bifurcation, Logistic map
  • 相关文献

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部