Rain Type Classification Algorithm Module for GPM Dual-Frequency Precipitation Radar

Author:

Awaka Jun1,Le Minda2,Chandrasekar V.2,Yoshida Naofumi3,Higashiuwatoko Tomohiko3,Kubota Takuji4,Iguchi Toshio5

Affiliation:

1. Tokai University, Sapporo, Japan

2. Colorado State University, Fort Collins, Colorado

3. Remote Sensing Technology Center of Japan, Tsukuba, Japan

4. Japan Aerospace Exploration Agency, Tsukuba, Japan

5. National Institute of Information and Communications Technology, Koganei, Japan

Abstract

AbstractThe Global Precipitation Measurement (GPM) Dual-Frequency Precipitation Radar (DPR) algorithms consist of modules. This paper describes version 4 (V4) of GPM DPR level 2 (L2) classification (CSF) modules, which consist of two single-frequency (SF) modules—that is, Ku-only and Ka-only modules—and a dual-frequency (DF) module. Each CSF module detects bright band (BB) and classifies rain into three major types, that is, stratiform, convective, and other. The Ku-only and Ka-only CSF modules use algorithms that are similar to the Tropical Rainfall Measuring Mission (TRMM) rain type classification algorithm 2A23. The DF CSF module uses a new method called the measured dual-frequency ratio (DFRm) method for the rain type classification and the detection of BB. It is shown that the Ku-only CSF module and the DF CSF module produce almost indistinguishable rain type counts in a statistical sense. It is also shown that the DFRm method in the DF CSF module improves the detection of BB.

Publisher

American Meteorological Society

Subject

Atmospheric Science,Ocean Engineering

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