陈小华, 张腾飞, 尹丽云, 杨柯. 卫星云分类产品在低纬高原强雷暴过程中的闪电特征分析[J]. 云南大学学报(自然科学版), 2014, 36(2): 205-213. doi: 10.7540/j.ynu.20130104
引用本文: 陈小华, 张腾飞, 尹丽云, 杨柯. 卫星云分类产品在低纬高原强雷暴过程中的闪电特征分析[J]. 云南大学学报(自然科学版), 2014, 36(2): 205-213. doi: 10.7540/j.ynu.20130104
CHEN Xiao-hua, ZHANG Teng-fei, YIN Li-yun, YANG Ke. The feature analysis of lighting process at low latitude plateau using cloud classification products[J]. Journal of Yunnan University: Natural Sciences Edition, 2014, 36(2): 205-213. DOI: 10.7540/j.ynu.20130104
Citation: CHEN Xiao-hua, ZHANG Teng-fei, YIN Li-yun, YANG Ke. The feature analysis of lighting process at low latitude plateau using cloud classification products[J]. Journal of Yunnan University: Natural Sciences Edition, 2014, 36(2): 205-213. DOI: 10.7540/j.ynu.20130104

卫星云分类产品在低纬高原强雷暴过程中的闪电特征分析

The feature analysis of lighting process at low latitude plateau using cloud classification products

  • 摘要: 利用卫星云分类产品资料和云南省地闪资料,对云南省4次强雷暴过程进行分析,得出:对于闪电产生时,积雨云生成0~1h,开始有闪电活动;对于强闪电时段,积雨云也是发展阶段,积雨云面积不断增加,形状为椭圆形或带状,而且闪电均发生在积雨云移动发展方向的边缘区域;对于闪电减弱阶段,积雨云也逐渐减弱,面积不断减小,在闪电结束时,积雨云的面积发生剧减或者积雨云面积剧减且积雨云发生断裂.同时强闪电活动与积雨云的发展移动有一定的对应关系,主要是闪电的移动、发展与积雨云的移动发展基本保持一致,这样可以用云分类资料来判别闪电的发展减弱,进行闪电监测及预警.通过强雷暴个例分析,把云分类产品也加入到闪电分析资料中,拓宽闪电预警的资料使用,同时也是云分类产品资料在低纬高原的适用研究.

     

    Abstract: By applying the lightning data and cloud classification data,the features of lightning process at low latitude plateau is analyzed.The research shows that for the lightning generation period,it undergoes 01 hour cumulonimbus generation in the lightning activity area,and at lightning development of stage,the cumulonimbus is also in the development stage,the cumulonimbus shape is nearly elliptical or ribbon.Lightning are the edge of the area in the direction of the cumulonimbus mobile development,for the lightning weakened stage,the cumulonimbus area gradually decreases.A certain correlation between strong lightning activity and cumulonimbus development has been explored,so that we can use the cloud classification data to distinguish the development of lightning.By the thunder example analysis,cloud classification products is joined to the lightning analysis data,the data application for lightning warning is broadened,which is application research of classification product in low latitude plateau as well.

     

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