雨滴谱参数估计优化方案及其微物理资料检验

A new method to parameterise the rain drop size distribution and its validation by microphysical data

提出一种新的雨滴谱参数估计优化方案。其最大优点就是 :对于任意几束相邻的测雨雷达观测资料 ,从任意的雨滴谱模型 (如 Marshall- Palmer经验公式 )决定的积分雨参数之间的关系 (如 k- Z关系 )出发 ,利用雷达视反射率资料并借助雷达海平面或地表面回波信号 ,可以获取束向上的比较接近实际降雨场的雨滴谱 ;然后利用校正的雨滴谱参数决定的积分雨参数之间的关系 ,降雨量反演算法就可以提供较准确的降雨量分布。这个方案可行性被同区域机载 2 D-

A new method to estimate the parameter (N 0) of rain drop size distribution from rain radar data was proposed in this paper. The advantage of the method is that: using the rain radar data including the surface echo, we can obtain an estimation of the parameter(N 0) of the rain drop size distribution in the observation direction no matter what kind of relation between integral rain parameters was used.The deduced DSD's parameter(N 0) presents better the real DSD than using an empirical relation. Then the retrieval algorithms should provide a more accurate estimation of the rainfall rate upon the new relation between integral rain parameters which is determined by the newly deduced DSD's parameter. The feasibility of the method was tested by the microphysical data which were obtained in the same time and in the same place like the rain radar data.