中文摘要：

在这篇论文，在 Huanghuai 区域发生在 1999 年 5 月 9 日的下得很大的冰雹被从降水使用联合数据学习雷达(PR ) ，微波影像(TMI ) ，和测量使命(TRMM ) 的热带降雨上的可见红外线的扫描仪(VIRS ) 卫星。根据从 TRMM 卫星的 5-h 持续时间的 3 轨道观察，象云顶温度和微波一样的降水结构的变化特征猛抛的云发信号包括地分析为冰雹云，在那里存在一些强壮的对流房间，和重稳固的降水在中间顶的层次被显示出以便在到列降水数量的结冰层上面的降雨数量的贡献在融化层以内比那相当大。为暴风雨云，然而，对流房间逐渐地由层状的降水，和降水厚度的大区域被包围结冰层显然减少的上面的减少，和降雨和降雨的贡献很快在融化层以内总计增加。因此，数量是越多在到列降水的结冰的层上面的降雨数量的大比率，云越对流；相对地，越多在融化的层下面的降雨的更大的比例是，更多的马厩层状的云是。在考虑猛抛的结构和阶段更好的不同降水阶段表演的微波信号的不同变化趋势遮蔽选择最佳的微波隧道检索表面降雨。

英文摘要：

In this paper, a hailstorm occurring on 9 May 1999 in Huanghuai region was studied by using the combined data from the precipitation radar （PR）, microwave image （TMI）, and visible infrared scanner （VIRS） on the Tropical Rainfall Measuring Mission （TRMM） satellite. According to the 3-orbit observations of 5- h duration from the TRMM satellite, the variation characteristics of the precipitation structures as well as cloud top temperature and microwave signals of the precipitating cloud were comprehensively analyzed during the evolution of hailstorm. The results show that the precipitation is obviously converted from early hail cloud with strong convection into the later storm cloud with weak convection. For hail cloud, there exists some strong convective cells, and the heavy solid precipitation is shown at the middle-top levels so that the contribution of rainfall amount above the freezing-layer to the column precipitation amount is rather larger than that within the melting-layer. However, for storm cloud, the convective cells are surrounded by the large area of stratiform precipitation, and the precipitation thickness gradually decreases, and the rainfall above the freezing-layer obviously reduces and the contribution of rainfall amount within the melting-layer rapidly increases. Therefore, the larger ratio of rainfall amount above the freezing layer to column precipitation amount is, the more convective the cloud is; reversely, the larger proportion of rainfall below the melting layer is, the more stable the stratiform cloud is. The different changing trends of microwave signals at different precipitation stages show that it is better to consider the structures and stages of precipitating cloud to choose the optimal microwave channels to retrieve surface rainfall.