提出利用逐时的中尺度辐合中心、卫星红外云图云顶亮温及雷达回波降水率做中尺度雨团量级预测思路。
In addition, a thought of how to use the mesoscale convergence center, TBB of convective cloud and the radar echo for rainfall rate to predict the mesoscale rain cluster is presented.
强雷达回波和正负速度对、逆风区等特征对强降水具有指示意义。
Strong radar echoes and positive-negative velocity and head wind area are indicative to the heavy rainfall event.
强降水与深对流云团及雷达回波强度强、回波顶高、VIL大的强对流单体有密切的关系。
Heavy rain is close connected with the deep convective cloud clusters and convective cells with the strong radar reflectivity, high echo top and big VIL.
强降水与深对流云团及雷达回波强度强、回波顶高、VIL大的强对流单体有密切的关系。
Heavy rain is closely connected with the deep convective cloud clusters and convective cells with the strong radar reflectivity, high echo top and big VIL.
地物和超折射等非降水回波是影响雷达定量探测降水和其他产品的重要因素，利用降水和非降水回波反射率三维结构特征可以对雷达数据进行质量控制。
Non-precipitation echo from radar such as ground objects echo and super refraction and so on are important to explore quantitatively precipitation and the other products.
地物和超折射等非降水回波是影响雷达定量探测降水和其他产品的重要因素，利用降水和非降水回波反射率三维结构特征可以对雷达数据进行质量控制。
Non-precipitation echo from radar such as ground objects echo and super refraction and so on are important to explore quantitatively precipitation and the other products.
应用推荐