Detection and Automatic Recognition of a Gust Front in Xianyang Airport
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Abstract:
The new generation Doppler radar observation data from Xi'an Radar Station, NCEP reanalysis data, and automatic station data are used to study the gust front around Xianyang Airport on 4 June 2016 This weather process was caused by the convection triggered by the southerly cold air behind the Mongolian low vortex and produced 22 mm precipitation and 197 m〖DK〗·s-1 gust over Xianyang Airport, which influenced several flights. From the radar echoes, it is found that the life cycle of the gust front was about 2 hours; the echo intensity was about 5 to 25 dBz; the length was about 70 km; and the average speed was 497 km〖DK〗·h-1, with obvious narrowband and convergence line existing. After the quality control of radar data, the automatic identification software is designed; the bidirectional gradient algorithm is used in the intensity field; and the Shear parameter algorithm is used in the velocity field. According to the spatial consistency of narrowband and the convergence line, the location and intensity of the gust front are recognized. Finally, the critical success index is used to evaluate the software. The recognition rate of this gust front reaches 8333%, which shows that the software can identify gust front and can be used in service.
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Supported by:Beijing E-Tiller Technology Development Co., Ltd.
Supported by:Beijing E-Tiller Technology Development Co., Ltd.