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《Plateau Meteorology》 2011-03
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Research on Automatic Detection Algorithm of Downburst

TAO Lan1,DAI Jian-hua1-2(1.Shanghai Meteorological Center,Shanghai 200030,China; 2.Department of Atmospheric Sciences,Nanjing University,Nanjing 210093,China)  
According to the descent of storm core height and strong low-level divergence characteristic in the flow field of a downburst,an Automatic Detection Algorithm of DownBurst(ADADB) using the Doppler radar data has been developed.First,the storm core height has been calculated,according to storm cell identification and tracking results of the SCIT(Storm Cell Identification and Tracking) algorithm,meanwhile the radial velocity data of the lowest elevation has been handled to search the one-dimensional segment with divergent characteristics.Then,two-dimension identification technology has been applied to combine the one-dimension segments into a two-dimension divergent feature,also a kind of quality control method has be used to exclude the divergence field caused by other factors,thus to obtain the significant signal of downburst in the Doppler radar radial velocity field.Some simulated and real radar radial velocity data are used to verify the ADADB.The verifications show that this downburst automatic detection algorithm can detect the downburst with clear low-level divergence characteristic and to make warnings 6~12 min ahead.
【Fund】: 中国气象局灾害天气短时临近预报预警业务系统建设项目;; 上海市科委项目(08dz0580900);; 2009年度公益性行业专项项目(GYHY200906003)共同资助
【CateGory Index】: P425.61
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