Precipitation Type Classification Method for Dual-Frequency Precipitation Radar (DPR) Onboard the GPM

被引:57
作者
Le, Minda [1 ]
Chandrasekar, V. [1 ]
机构
[1] Colorado State Univ, Ft Collins, CO 80523 USA
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2013年 / 51卷 / 03期
基金
美国国家航空航天局;
关键词
Airborne precipitation radar (ARP-2); dual-frequency precipitation radar (DPR); global precipitation measurement (GPM); precipitation type classification; MODEL; PARTICLES; CLOUD;
D O I
10.1109/TGRS.2012.2205698
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
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 strat-iform, 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.
引用
收藏
页码:1784 / 1790
页数:7
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