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自忆性建模及其气候应用

Self-memorization Modeling and Its Application to Climate

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【作者】 曹鸿兴朱正心虞海燕

【Author】 Cao Hong-xing1,Zhu Zheng-xin2,Yu Hai-yan3(1.Chinese Academy of Meteorological Sciences,Beijing 100081;2.Jiangsusheng Meteorological Office,Nanjing Jiang Su 210008;3.Beijing Meteorological Bureau Observatory,Beijing 100089)

【机构】 中国气象科学研究院江苏省气象台北京市气象局观象台 北京100081江苏南京210008北京100089

【摘要】 对制约系统运动的含时间微商项的方程,引进记忆函数后可导得一个差分—积分方程,它能包容含初值的多个往值。构建和求解系统的差分—积分方程的原理,称为自忆性原理,相应导得的数学模型称为自忆性模型。自忆性模型现已应用到气象、海洋、水文、市场、农业、交通和能源等多个领域的建模、计算和预报,尤其在预报方面取得了显著成果,提高了预报准确率。文中还论述了自忆性—界门模型,讨论了自忆性模型应用效果好的原因,给出了气候预测的实例。

【Abstract】 Setting a memory function for a governing equation of a system with a time derivation,a difference-integral equation,covering multi-initial values,can be deducted.The principle of setting up and solving the difference-integral equation is called as a self-memorization principle.The model based on the principle is different from other time series models,which are based on a random difference equation.The self-memorization model has been applied to meteorology,oceanography,hydrology,marketing,agriculture,transportation and energy and so on for modeling,computing and forecasting.In particular,it is successful for forecast issue pertinent to advancing the forecast accuracy.Besides,the self-memory-gate model is briefed,and the reason why the self-memorization model can improve the forecast is discussed as well.As a example,a climate prediction is presented.

【关键词】 自忆性动力系统气候预测
【Key words】 self-memorizationDynamic systemClimate prediction
【基金】 北京自然科学基金(8042012);国家自然科学基金(40375025)资助
  • 【文献出处】 贵州气象 ,Journal of Guizhou Meteorology , 编辑部邮箱 ,2007年03期
  • 【分类号】P435
  • 【被引频次】4
  • 【下载频次】142
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