用兴义新一代多普勒天气雷达CINRAD/CD复合体扫基数据作为原始资料,经WSR-88D提供的气象算法生成气象产品--垂直累积液态含水量(VIL),统计分析了基于网络的对流云的VIL特征,用理论模式计算雹云单体在演变过程中的VIL,用MAX函数逐个提取最大VIL,引入VIL密度VILD及零度层高度以上到18 dBz高度的VIL积分VILH的概念,对2007～2008年黔西南地区12个雹云单体的VIL、VILmax、VILD和VILH的演变特征及其在冰雹云识别中的应用进行了分析.结果表明:冰雹降落时间基本是在VIL值达到最大时开始,降雹结束后,VIL值迅速下降;雹云单体VILmax在演变过程中存在暴发式增长和暴发式降低现象,在时间序列曲线中表现为峰型特征;雹云单体在首次降雹前3～4个资料时间间隔内其VILmax将出现2次暴发式增长现象,出现第1次暴发式增长现象时一般不会降雹,维持1～2个体扫时间间隔后出现第2次暴发式增长现象,此时才开始降雹,同一单体再次降雹前其VlLmax并没有第1次暴发式增长现象,出现暴发式降低现象时降雹均停止;从季节上整体来分析,3～4月的平均VIL、VILmax、VILH和VILD数值最大,5～6月次之,8月最小.%Using the Xingyi new generation of Doppler weather radar complex scan data as original materials and WSR - 88D algorithm VIL ( Vertically Integrated Liquid Water Content) ,VIL about cell was calculated with its theoretical model. And the maximum of VIL was identified by using of max function. The concepts of VILH and VILD were introduced. The distributive characteristic of VIL,VILmax,VILH and VILD were analyzed to the 12 hail cells in 2007 to 2008 of southwestern Guizhou province. Results showed that the hail cells begun to drop when VIL reached the maximum value. After the hailstones ending,the VIL value dropped rapidly. In time sequence cnrves,the VIL was in peak form. There were “explosive increasing” and “explosive decreasing” phenomena around the time in the evolution process of each hail cell. There were no shooting on the ground after the first VIL max increasing until the occurrence of second increasing about I to 2 time interval after the first increasing. There was no first “explosive increasing” before the second shooting in the same cell ,and the hail shooting on the ground stopped with the occurrence of “explosive decreasing”. Analyzed from the seasons,the average value of the VIL,VILmax,VILH and VILD of March and April was the maximum,followed by May and June. The one in August was the minimum.
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