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黑体亮温TBB与风暴跟踪信息STI对应关系

Correspondence between blackbody brightness temperature TBB and storm tracking information STI
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摘要 为了更好地应用TBB及STI产品,文章使用卫星云图黑体亮温TBB资料、江西雷达拼图STI产品等资料,采用图像对比方法,探讨TBB与STI之间的关系。结果表明:1)黑体亮温TBB与风暴跟踪信息STI密集程度呈一定负相关,即雷达回波强度越大,TBB最低值越低。2)TBB与STI负相关负贡献情况可以分为2种,第1种情况为TBB密集强盛,但STI不密集,第2种情况为TBB稀疏值高,但STI相对密集。3)超级单体TBB冷云特征明显,外侧边缘亮温梯度加大;雷达拼图STI密集指向区也十分明显,TBB低值区与STI密集区移动方向一致。上述研究成果为TBB及STI相互印证和监测江西强天气过程提供了参考。 In order to better take use of TBB and STI products,the relationship between TBB and STI is discussed by using the image comparison method,and adopting the data of satellite cloud image blackbody brightness temperature TBB and Jiangxi radar mosaic STI products.The results show that the blackbody brightness temperature TBB is negatively correlated with the intensity of storm tracking information STI,that is,the greater the radar echo intensity,the lower the minimum value of TBB.The negative contribution of TBB to STI can be divided into two types:the first case is that TBB is dense and strong,but STI is not dense,the second case is that the TBB sparse value is high,but the STI is relatively dense.The characteristics of supercell TBB cold cloud are obvious,and the brightness temperature gradient of the outer edge increases.The radar mosaic STI dense pointing area is also very obvious,and the TBB low value area is consistent with the moving direction of the STI dense area.The above research results provide a reference for the mutual verification and monitoring of strong weather processes in Jiangxi by TBB and STI.
作者 李燕玲 马中元 陈鲍发 张晓芳 盛梦婷 Li Yanling;Ma Zhongyuan;Chen Baofa;Zhang Xiaofang;Sheng Mengting(Jingdezhen Meteorological Bureau,Jingdezhen 333000;Jiangxi Institute of Meteorological Sciences,Nanchang 330046;Wuyuan Meteorological Bureau,Shangrao 333200;Leping Meteorological Bureau,Leping 333300)
出处 《气象水文海洋仪器》 2023年第4期49-52,共4页 Meteorological,Hydrological and Marine Instruments
基金 中国科学院战略性先导科技专项(A类-XDA19040202) 江西省重点研发计划项目(20171BBG7005) 江西省气象局2019年预报员专项“2019年7月景德镇两次低涡切变大暴雨过程对比分析” 2021年景德镇市气象局面上项目“GRAPS-MESO模式对2020年景德镇主汛期暴雨过程误差及可预报性分析” 江西省气象科技面上项目“风暴跟踪信息STI在江西WenGIS雷达拼图中的应用”(JX2020M05)资助。
关键词 TBB STI 密集区 回波特征 TBB STI dense area echo characteristic
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