气象Issue(1)：44-53,10.DOI:10.7519/j.issn.1000-0526.2016.01.005
MIGFA 阵风锋识别算法改进与检验
Improvement of the MIGFA Technique for Identifying Gust Front and Its Verification
摘要
Abstract
The improvement of the MIGFA technique is made based on the gust front echo features along the Yangtze River in Jiangsu detected by the Nanjing CINRAD/SA weather radar.Considering the smoot-hing algorithm and the low elevation data fusion,the 0.5°reflectivity echo thin line functional template is improved and the higher elevation echo thin line functional template is designed based on the gust front fea-tures.The original spatial difference reflectivity functional template is replaced by the double higher eleva-tion reflectivity thin line functional templates.A group of the dynamic-weighting functions is designed to combine the score array by the relationship of the gust front features and its distance from the station so as to effectively identify the gust front echo.Through the angle judgment and the echo flatness testing,the false alarm rate is further reduced.Finally,the effect of the identification is made by the gust front process seen on 14 June 2009 and detected with the Nanjing radar.And the effect of the evaluation is also made by 120 gust front samples in Nanjing radar.The results show that the critical success index is increased from 0.39 to 0.60 and the false alarm rate is reduced from 0.34 to 0.16 through the improving MIGFA.关键词
阵风锋识别/MIGFA 算法/CINRAD/SA 雷达/回波平坦度Key words
gust front identification/MIGFA (machine intelligence gust front algorithm)technique/CIN-RAD/SA radar/echo flatness分类
天文与地球科学引用本文复制引用
徐芬,杨吉,郑媛媛,周红根..MIGFA 阵风锋识别算法改进与检验[J].气象,2016,(1):44-53,10.基金项目
国家自然科学基金青年基金项目（41105023）、公益性行业（气象）科研行业专项（GYHY201306078）和“十二五”国家科技支撑项目（2014BAG01B01）共同资助 （）
