摘要
基于两年的地面观测和GMS5静止卫星云图等资料样本库,采用多元回归方法建立了中国东部地区六小时降水量分级估计业务系统。在大片层状云、孤立对流云等不同性质的降水条件下对该系统进行业务试运行,结果表明1)使用多通道卫星云图资料,特别是红外和水汽通道亮温差、红外亮温的时间变率等云图衍生资料,可以有效的提高卫星定量估计降水准确率。2)由逐日实时资料库建立的回归估计方程,每6h更新一次,大大地改善了大片厚卷云和特殊地形引起的空报。
A rainfall estimate system using GMS-5 data was developed through multiple regression method, which can be used to estimate six-hour rainfall hourly. Further study about its application under different precipitation situations, such as stratus, convective cloud, we found that the GMS-5 four channel, especially other derived data from them, such as infrared temperature variance with time, and the difference between infrared temperature and vapor temperature do good function to improve estimate accuracy, and the rainfall estimate function based on real-time samples pool by using step regression method can further eliminate error caused by deep cirrus or special terrain.
出处
《气象科学》
CSCD
北大核心
2005年第2期149-157,共9页
Journal of the Meteorological Sciences
基金
国家自然科学基金资助项目(编号:40305004)资助
关键词
GMS-5卫星云图
降水估计
多元回归
GMS-5 cloud imaginesRainfall estimationMultiple regression method