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Using wind profiler data to identify classification of rainfall
Author(s): Aiqin Tu; Zhenzhu Wang; Yujie Zhang; Chang Liu; Ningquan Weng
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Paper Abstract

The characteristics of wind profile radar signal-to-noise ratio, spectral width and vertical velocity under different rainfall in summer are summarized respectively. The range of signal-to-noise ratio, spectral width and vertical velocity varies with the level of rainfall amount. The difference between sunny days, light rain and others is obvious, and the difference between moderate rain, heavy rain and rainstorm decreases. On the basis of this, a method to identify the classification of rainfall using spectral width is proposed and validated, of which the accuracy rate can reach over 50%. In addition, the reasons that influence the identifying accuracy of the classification of rainfall by spectral width are also analyzed, and some improvement measures are put forward.

Paper Details

Date Published: 13 December 2018
PDF: 6 pages
Proc. SPIE 10833, 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 108336U (13 December 2018); doi: 10.1117/12.2506741
Show Author Affiliations
Aiqin Tu, Anhui Institute of Optics and Fine Mechanics (China)
Univ. of Science and Technology of China (China)
Shandong Meteorological Bureau (China)
Zhenzhu Wang, Anhui Institute of Optics and Fine Mechanics (China)
Yujie Zhang, Shandong Meteorological Bureau (China)
Chang Liu, Shandong Provincial Meteorological Observatory (China)
Ningquan Weng, Anhui Institute of Optics and Fine Mechanics (China)


Published in SPIE Proceedings Vol. 10833:
24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
Gennadii G. Matvienko; Oleg A. Romanovskii, Editor(s)

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