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首页> 外文期刊>Geoscience and Remote Sensing, IEEE Transactions on >Precipitation Type Classification Method for Dual-Frequency Precipitation Radar (DPR) Onboard the GPM
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Precipitation Type Classification Method for Dual-Frequency Precipitation Radar (DPR) Onboard the GPM

机译：GPM上双频降水雷达（DPR）的降水类型分类方法

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摘要

Precipitation classification is a critical module in the retrieval algorithm set, for the dual-frequency precipitation radar (DPR) that will be onboard the global precipitation measurement (GPM) core satellite. Precipitation type classification namely stratiform, convective, and other rain type classification is an important part of the classification module. Characteristics of measured dual-frequency ratio ( DFRm), defined as the difference between measured reflectivity at two frequency channels ($K_{u}$- and $K_{a}$- band), were studied for different rain types. This paper shows that DFRm can be used to separate stratiform and convective rain. In this paper, a precipitation type classification model is developed for DPR profile classification using characteristics of $DFRm$. Data collected by the airborne PR (ARP-2) in NASA African Monsoon Multidisciplinary Analysis, Genesis and Rapid Intensification Processes, and Wakasa Bay campaigns are employed in model validation. The performance of the precipitation classification method for the GPM-DPR resolution is evaluated and is shown to be applicable to the GPM resolution.
机译：对于将在全球降水量测量（GPM）核心卫星上搭载的双频降水量雷达（DPR），降水量分类是检索算法集中的关键模块。降水类型分类即层状，对流和其他降雨类型分类是分类模块的重要组成部分。针对不同的降雨类型，研究了测量的双频比（DFRm）的特性，该特性定义为两个频道（$ K_ {u} $-和$ K_ {a} $-频段）的反射率之间的差异。本文表明，DFRm可用于分离层状和对流雨。在本文中，使用$ DFRm $的特征为DPR剖面分类开发了降水类型分类模型。机载PR（ARP-2）在NASA非洲季风多学科分析，成因和快速集约过程以及Wakasa Bay活动中收集的数据用于模型验证。对GPM-DPR分辨率的降水分类方法的性能进行了评估，结果表明该方法适用于GPM分辨率。

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