Abstract:

For solving the dual-value problem of RSD raindrop size distribution retrieval algorithm using GPMCO DPR data, a solution is put forward: combining the observation data of S-band weather radar and GPM-CO DPR to provide determinant for the dual-value problem. On the basis of completing the retrieval algorithm, the radar simulation program, Quickbeam, is utilized to validate the algorithm, and actual observation data is utilized to validate the algorithm as well. The results of theoretical validation show that the correlation coefficients between retrieved data and input data are over 0.99, and the results of validation with actual observation data show that the retrieved RSD can reflect the raindrop distribution situation of the rainfall process. The algorithm can help to solve the dual-value problem to o certain degree.

Key words: GPM project, DPR, S-band weather radar, RSD, retrieval algorithm, dual-value problem

摘要：

针对GPM-CO DPR观测数据反演雨滴谱算法中存在的双值问题, 提出通过匹配地面S波段天气雷达与GPM-CO DPR观测数据, 为双值问题提供判断依据的方法。在建立反演查算方法的基础上, 利用雷达仿真程序Quickbeam进行算法的理论验证, 并使用观测数据进行实例验证。理论验证的结果表明, 反演结果数据和输入数据的相关系数达到0.99以上; 实例验证的结果显示, 利用此反演算法得到的雨滴谱可以反映降水过程中雨滴粒径的分布情况, 在一定程度上解决双值问题。

关键词: GPM计划, 双频降水雷达(DPR), S波段天气雷达, 雨滴谱, 反演算法, 双值问题