摘要
为解决单部雷达强冰雹识别产品在雷达的探测范围、雷达的静锥区以及与基于格点的近风暴环境因子的融合上存在局限性的问题,本文建立了雷达反射率因子的三维局部空间插值及多部雷达拼图方法;类似于SCIT算法的风暴单体的VIL及SHI等冰雹识别参数的计算,基于多部雷达三维插值拼图数据集,实现了格点VIL、SHI、POH和POSH等算法,建立了基于三维格点的多部雷达强冰雹识别参数因子、风暴数值模拟的近风暴环境因子(0°层及-20°层高度)为识别参数的冰雹识别算法。为确定适合于贵州地区的冰雹识别阈值,使用贵州504个防雹炮点的冰雹观测资料及贵州2005年和2006年8次贵阳、合肥雷达站冰雹个例观测资料,建立了冰雹算法校验数据库;通过对降雹校验数据库的统计分析,建立了适于贵州地区VOD与冻结层高度统计关系式,确立了VIL密度产品的强冰雹判别阈值,并通过对WTSM的调整,改进了原来的POSH算法,在贵州西北部到中部一线的一次强冰雹过程中对强降雹区的识别效果较好。
For the purposes of improving the detection limitations in single-radar cones-of silence,far ranges from one radar,terrain blocking areas and integrating with Near-Storm-Environment（NSE） data from mesoscale numerical models,3D grid reflectivity data mosaicing application are developed using the local space interpolation on a latitude and longitude-height grid with approximately 3 km×3 km×0.5 km.Using the 3D grids of multiple-radar,a new hail detection algorithm integrating is developed through the grid VIL,grid SHI,grid POH and grid POSH,and data（at the heights of 0℃ and-20℃） derived from mesoscale numerical model.The evaluation databases for the WSR-88D hail detection algorithm have been built using the hail observation data of 504 hail prevention spots in Guizhou and Doppler radar data of Guiyang and Zunyi during 8 severe hail events from 2005 to 2006.For the determining threshold of grid VIL density,the relationship between the VOD（VIL of the day） which is suitable for Guizhou area and the freezing level,has been established.Finally,POSH algorithm has been improved through the optimization WTSM（Warning Threshold Selection Model）.These new hail diagnostic parameters have well identified in a severe hail storm in north-western Guizhou.
出处
《高原气象》
CSCD
北大核心
2010年第6期1533-1545,共13页
Plateau Meteorology
基金
贵州省优秀青年科技人才培养对象专项基金黔科合人字(2009)20号
贵州省气象局雷达创新团队项目共同资助
