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强降水主要由生命史短的中小尺度天气系统造成，对此类天气系统的预报，目前只有依靠卫星和雷达的实时监测并结合中系统的概念模式外推来完成。由于中国西北地区地形极为复杂，造成雷达盲区，影响其估算降水率。因此采用ＧＭＳ－４卫星的红外和可见光展宽云图资料，经处理并转换后，再加入相应网格点上的数字化地形高度资料作为因子之一，用多级逐步判别模式估算逐时雨强等级，最后形成一套可在微机上对雨强场进行图像显示及处理的软件系统，满足了现时预报的需要。结果表明，小雨以上的降雨区域不论面积、形状均与实况基本一致。
The heavy rainfall is mainly caused by the small and medium-scale weather system with short life history. At present, the prediction of such weather systems is only based on the real-time monitoring of satellites and radars and the extrapolation of the intermediate system in conceptual mode. Due to the extremely complicated terrain in northwestern China, the blind spot of the radar is caused, which affects the estimated precipitation rate. Therefore, using GMS-4 satellite infrared and visible light broadening cloud image data, after processing and conversion, adding digital terrain height data of the corresponding grid points as one of the factors, using multi-level stepwise discrimination mode to estimate hourly rain intensity level, Finally, a set of software system that can display the image of the rain and strong field on the computer and deal with it can meet the needs of current forecasting. The results show that the rainfall area above the rainy area regardless of area, shape and the actual situation is basically the same.