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《Meteorological Science and Technology》 2018-05
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Detection and Automatic Recognition of a Gust Front in Xianyang Airport

Tu Chaoyong;Ni Changjian;Bai Aijuan;Wang Jie;Zhao Zhijun;Zhu Yulei;College of Atmospheric Sciences,Chengdu University of Information Technology,Plateau Atmosphere and Environment Key Laboratory of Sichuan Province;Air Traffic Control,Meteorological Center of Northwest Civil Aviation;  
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 2.2 mm precipitation and 19.7 m·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 49.7 km·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 83.33%,which shows that the software can identify gust front and can be used in service.
【Fund】: 国家自然科学基金重大研究计划重点支持项目(91644226)资助
【CateGory Index】: V321.225
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