The variation features, the relationship between the moving speed and the arc length, and the overall and partial characteristics in the radar reflectivity data images of the gust front along the Yangtze River in Jiangsu are analyzed using Nanjing CINRAD data combined with the AWS wind data from 2009 to 2012. The radar reflectivity data distribution features of the three kinds of NBE are also analyzed in detail. An echo flatness calculation method is designed to analyze the similarities of the three NBEs in quantity. It is also found that the radial bands belong to the gust front echo can be identified by the wave width, the number of the wave peak,the peak threshold, and the bilateral gradient waveform from the radial wave characteristics in this article. The automatic detection of the gust front echo is achieved by combining the echo flatness testing method with the gust front radial waveform detection algorithm based on the radar reflectivity data preprocessing method. Finally, the effect results of the detection algorithm show that the detection accuracy rate is about 87% or more in the independent gust front whose average reflectivity data > 5 dBZ, and the detection accuracy rate is about 89% or more in the blended gust front whose average reflectivity data > 10 dBZ. The identification rate of the weak gust front is still low.
XU Fen
,
YANG Ji
,
XIA Wenmei
,
ZHOU Honggen
. Statistical Characteristics and Automatic Detection of the Gust Front in Radar Reflectivity Data[J]. Plateau Meteorology, 2015
, 34(2)
: 586
-595
.
DOI: 10.7522/j.issn.1000-0534.2014.00005
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