Knowledge Based Classification of Circulation Patterns for Stochastic Precipitation Modeling
Knowledge Based Classification of Circulation Patterns for Stochastic Precipitation Modeling
复制标题
基于知识的随机降水模型环流模式分类
DOI：
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发表时间：
1994
期刊：
影响因子：
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通讯作者：
I. Bogardi
中科院分区：
文献类型：
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作者：
A. Bárdossy;H. Muster;L. Duckstein;I. Bogardi
一个模糊规则为基础的方法被应用到每日的大气环流型（CP）的分类问题。Hess和Brezowsky（1969）给出的欧洲合作伙伴的主观分类为规则的构建提供了基础。该方法的目的是产生一个分类，可用于模拟当地降水的基础上的700百帕压力场，而不是复制现有的主观分类。
A fuzzy rule-based methodology is applied to the problem of classifying daily atmospheric circulation patterns (CP). The subjective classification of European CP’s given in Hess and Brezowsky (1969) provides a basis for constructing the rules. The purpose of the approach is to produce a classification that can be used to simulate local precipitation on the basis of the 700 hPa pressure field rather than reproduce the existing subjective classification.