HYDROMETEOR PROFILE CHARACTERIZATION AND DROP SIZE DISTRIBUTION RETRIEVAL ALGORITHMS FOR GLOBAL PRECIPITATION MEASUREMENT MISSION

被引：0

作者：

Minda, Le ^{[1
]}

Chandrasekar, V. ^{[1
]}

机构：

[1] Colorado State Univ, Ft Collins, CO 80523 USA

来源：

2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2013年

关键词：

GPM; DPR; melting layer detection; DSD retrieval;

D O I：

10.1109/IGARSS.2013.6721365

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The dual-frequency precipitation radar (DPR) on board GPM core satellite collects Ku and Ka band vertical profiles which allow us to investigate the microphysics using the difference between two frequency observations (measured dual frequency ratio or DFRm). DFRm has been shown in the literature to be rich in information and can be used to perform melting layer detection and estimate drop size distribution (DSD) parameters. This paper summarizes the candidate algorithms to perform melting layer detection and DSD retrieval for GPM-DPR. Hurricane Earl observations collected by airborne precipitation radar were used to demonstrate the application.

引用

页码：1135 / 1138

页数：4

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