A Simple Algorithm to Discriminate between Meteorological and Nonmeteorological Radar Echoes | Zendy

John Krause | Zendy

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A Simple Algorithm to Discriminate between Meteorological and Nonmeteorological Radar Echoes

Author(s) -

John Krause

Publication year - 2016

Publication title -

journal of atmospheric and oceanic technology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.774

H-Index - 124

eISSN - 1520-0426

pISSN - 0739-0572

DOI - 10.1175/jtech-d-15-0239.1

Subject(s) - quantitative precipitation estimation , radar , computer science , fuzzy logic , computation , polarimetry , remote sensing , algorithm , simple (philosophy) , precipitation , meteorology , artificial intelligence , geology , telecommunications , geography , philosophy , physics , epistemology , scattering , optics

Discriminating between meteorological and nonmeteorological radar returns is necessary for a number of radar applications, including hydrometeor classification, quantitative precipitation estimation (QPE), and the computation of specific differential phase K DP . The algorithm proposed, MetSignal, uses polarimetric radar data and is simple by design, allowing users to adjust its performance based on the location’s specific needs. The MetSignal algorithm is a fuzzy logic technique with a few postprocessing rules and has been selected for implementation on the WSR-88D network in the United States.

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