Open AccessA 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.