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13 December 2018 Using wind profiler data to identify classification of rainfall
Aiqin Tu, Zhenzhu Wang, Yujie Zhang, Chang Liu, Ningquan Weng
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Proceedings Volume 10833, 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 108336U (2018) https://doi.org/10.1117/12.2506741
Event: XXIV International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, 2018, Tomsk, Russian Federation
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.
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Aiqin Tu, Zhenzhu Wang, Yujie Zhang, Chang Liu, and Ningquan Weng "Using wind profiler data to identify classification of rainfall", Proc. SPIE 10833, 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 108336U (13 December 2018); https://doi.org/10.1117/12.2506741
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KEYWORDS
Radar
Clouds
Meteorology
Environmental sensing
Particles
Wind measurement
Atmospheric optics
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