摘要
为了充分利用卫星图像逐像点的信息来构造更加精细的中尺度数值天气预报初始场,设计了静止卫星(GMS5)图像逐像点的云分析方法,并进行了初步试验。多种数据表明,分析结果是比较合理的。文中主要介绍了用可见光和红外通道的辐射值订正碎云分析,用红外水汽通道亮温差的直方图分布规律,并结合可见光反照率阈值分割子集,以及联合红外水汽通道的数据计算云高、判定云类等的方法。
Because of the requirement for high resolution initial field of mesoscale or small scale numeric weather prediction model, we designed the cloud analysis scheme based on single satellite image pixel. Some evidences show that the results of analysis are proved to be effective and proper. In our paper, we mainly introduced the methods of using both visible and infrared channels in computing pixel of partially filled FOV, and using bright temperature difference between infrared and vapor channel to separate pixels in an area into several groups, as well as using data of infrared and vapor channels to calculate cloud height and cloud classification.
出处
《热带气象学报》
CSCD
北大核心
2003年第2期177-183,共7页
Journal of Tropical Meteorology
基金
1997~1998北京大学暴雨监测和预测国家重点实验室(LSSR)开放课题资助