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Improved fuzzy logic method to distinguish between meteorological and non-meteorological echoes using C-band polarimetric radar data

Zhang, Shuai; Huang, Xingyou; Min, Jinzhong; Chu, Zhigang; Zhuang, Xiaoran; Zhang, Hengheng

Abstract:
To obtain better performance of meteorological applications, it is necessary to distinguish radar echoes from meteorological and non-meteorological targets. After a comprehensive analysis of the computational efficiency and radar system characteristics, we propose a fuzzy logic method that is similar to the MetSignal algorithm; the performance of this method is improved significantly in weak-signal regions where polarimetric variables are severely affected by noise. In addition, post-processing is adjusted to prevent anomalous propagation at a far range from being misclassified as meteorological echo. Moreover, an additional fuzzy logic echo classifier is incorporated into post-processing to suppress misclassification in the melting layer. An independent test set is selected to evaluate algorithm performance, and the statistical results show an improvement in the algorithm performance, especially with respect to the classification of meteorological echoes in weak-signal regions.


Verlagsausgabe §
DOI: 10.5445/IR/1000117469
Veröffentlicht am 02.03.2020
Originalveröffentlichung
DOI: 10.5194/amt-13-537-2020
Scopus
Zitationen: 2
Dimensions
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Aerosolforschung (IMK-AAF)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 1867-8548
KITopen-ID: 1000117469
HGF-Programm 12.03.03 (POF III, LK 01) Gas to particle conversion
Erschienen in Atmospheric measurement techniques
Verlag Copernicus Publications
Band 13
Heft 2
Seiten 537–551
Vorab online veröffentlicht am 07.02.2020
Nachgewiesen in Dimensions
Web of Science
Scopus
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