基于FY2D静止卫星云图的强对流云团识别  

Detection of strong convective clouds based on FY2D geostationary satellite

作　　者：李森[1,2] 刘健文[3] 刘玉玲[3] 

机构地区：[1]解放军理工大学气象学院 [2]95810部队气象台 [3]空军装备研究院航空气象防化研究所

出　　处：《气象水文海洋仪器》2010年第2期72-78,共7页Meteorological,Hydrological and Marine Instruments

摘　　要：在卫星云图识别中探讨深对流指数和红外多光谱带差异与强对流云团的关系,通过"逆向搜索法"获取强对流云团的轮廓信息,并对轮廓线进行平滑处理,从而实现对卫星云图强对流云团的识别。通过对2009年6-8月华北部分地区FY2D气象卫星云图的识别,结果表明:该方法对强对流云团识别较为准确,雷暴识别概率达到70%以上;CSI通过轮廓提取能够直观的展现强对流云团的所在位置,对获取雷暴云团各种特征量及预测云团未来的发展趋势提供帮助。This study identified the precursor signals of convective initiation by the deep convective index （DCI） and band-differencing technique with visible and infrared imagery from FY2D satellite, then contouring the strong convective cloud clusters by the ＂Reverse Search Method＂. Through the identification of cloud images of FY2D during the period of June to August on 2009 in some areas of North China, the results showed that the DCI and brightness differences identification method can discriminate strong convective clouds effectively, up to 70%. Moreover, distilling the cloud contour would be used for exhibiting the strong convective cloud charateristics, and providing the basis for clouds movement forecast.

关 键 词：卫星深对流指数 红外多光谱带差 逆向搜索法 强对流云团 

分 类 号：P412.27[天文地球—大气科学及气象学]