Classification of convective/stratiform echoes in radar reflectivity observations using a fuzzy logic algorithm
Classification of convective/stratiform echoes in radar reflectivity observations using a fuzzy logic algorithm
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使用模糊逻辑算法对雷达反射率观测中的对流/层状回波进行分类
DOI：
10.1002/jgrd.50214
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发表时间：
2013-02
期刊：
影响因子：
--
通讯作者：
Youcun Qi
中科院分区：
文献类型：
--
作者：
Yi Yang, Xin Chen,;Youcun Qi
在雷达反射率观测中，对流雨型和层雨型的边界往往不明确，这给降雨分类带来了困难。在接下来的三个步骤中，开发了一种基于雷达反射率观测的模糊逻辑（FL）算法来对对流和层状降雨进行分类：首先，该算法在中国合肥多普勒雷达站点上进行校准。根据2003年6月29日至7月23日的数据集选择了四个特征进行校准；这些特征基本上代表了期望区分不同降雨类型的特征的主观选择。第二步，在模糊化过程中，使用隶属函数来确定每个特征属于每种雨类型的程度。最后，将每个输入特征的模糊化程度乘以预定的加权系数。模糊化的加权程度被聚合以产生每种降雨类型的单个值。聚合可以代表分类降雨类型的可能性，较大的值表明特定类别的潜力较高。 FL算法已应用于合肥多普勒雷达采集的4个典型独立个案，尚未纳入数据库进行标定。结果表明，根据三维雷达反射率模式的分析，使用所提出的FL算法进行的分类在物理上是合理的，这意味着所提出的FL算法在降水分类方面具有巨大的潜力。
In radar reflectivity observations, the convective and stratiform rain types always have poorly defined boundaries, which caused problem for rain classification. A fuzzy logic (FL) algorithm is developed to classify convective and stratiform rainfall based on the radar reflectivity observations in the next three steps: First, the algorithm is calibrated on Hefei Doppler radar site in China. Four features are selected based on a dataset for calibration, which spanned the period from 29 June to 23 July 2003; and the features basically represent a subjective choice of characteristics that are expected to distinguish different rain types. In the second step, membership functions are used to determine the degree to which each feature belongs to each rain type in the fuzzification process. Finally, the degree of fuzzification for each input feature is multiplied by predetermined weighting coefficients. The weighted degrees of the fuzzification are aggregated to produce a single value for each rain type. The aggregation can represent the possibility of classified rainfall type, and larger value reveals the higher potential for a particular class. The FL algorithm has been applied to four typical independent individual cases collected by Hefei Doppler radar, which have not been included in the database for calibration. Results show that the classification using the proposed FL algorithm is physically reasonable according to the analysis of three‐dimensional radar reflectivity patterns, implying that the proposed FL algorithm has a great potential for the precipitation classification.
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影响因子：
3.1
作者：
Jidong Gao;D. Stensrud
通讯作者：
Jidong Gao;D. Stensrud
影响因子：
3
作者：
Q. Cao;Y. Hong;J. Gourley;Y. Qi;Jian Zhang;Y. Wen;P. Kirstetter
通讯作者：
Q. Cao;Y. Hong;J. Gourley;Y. Qi;Jian Zhang;Y. Wen;P. Kirstetter
影响因子：
3.1
作者：
P. Hildebrand;Bernice Ackerman
通讯作者：
P. Hildebrand;Bernice Ackerman
DOI：
10.1175/1520-0450(1988)027
发表时间：
1988-03
期刊：
Journal of Applied Meteorology
影响因子：
--
作者：
R. K. Wong;Norman Chidambaram;Lawrence Cheng;M. English
通讯作者：
R. K. Wong;Norman Chidambaram;Lawrence Cheng;M. English
影响因子：
2.9
作者：
Thomas F. Lee;F. Turk;K. Richardson
通讯作者：
Thomas F. Lee;F. Turk;K. Richardson