基于模板匹配的云底高度估计  

Cloud base height estimation based on template matching

作　　者：李浩然[1] 孙学金[1] 刘磊[1] 张日伟[1] 

机构地区：[1]解放军理工大学气象海洋学院,南京211101

出　　处：《气象科学》2015年第5期610-615,共6页Journal of the Meteorological Sciences

基　　金：国家自然科学基金资助项目(41205125;41575020)

摘　　要：本文提出一种将主动卫星遥感云底高数据扩展到被动遥感卫星视场的新方法。在分析云顶高度（CTH）和云水路径（CWP）对云垂直分布影响的基础上,提出用CTH和CWP两项参数为基的模板匹配法,结合加权最近邻插值估计云层厚度,并用成熟的CTH反演产品减去云层厚度,得到云底高度（CBH）。然后引入小波去噪的方法抑制对云底高度估计的局部高频涨落。与基于云类型的估计方法相比,该方法在20-300 km范围内与其估计效果相当,且在170-240 km范围内误差更小。考虑到基于云类型的估计方法在CloudSat卫星和MODIS云分类结果上存在差异,本文方法的适用性更好。In this paper, a new method that extends the Cloud Base Height（CBH） retrieved by ac-tive satellite to the passive satellite sensor field was put forward. Based on the analysis of the effects ofCloud Top Height（CTH） and Cloud Water Path（CWP） on the cloud vertical distribution, a templatematching method basing CTH and CWP parameters was developed, moreover, combined with the weigh-ted nearest neighbor interpolation, the cloud thickness was estimated. Furthermore, the CBH was re-trieved through using the mature CTH product minus cloud thickness. The wavelet transform was intro-duced to restrain the local high frequency fluctuations. Compared with the cloud types based method, theperformance of the new method is close to the estimated effects at the distance of 20-300 km and showsless estimaton error at the distance of 170-240 km. Considering the differences of cloud classification re-sults between CloudSat and MODIS, this new method is more adaptable.

关 键 词：云底高度 云顶高度 云水路径 模板匹配 CLOUDSAT卫星 MODIS 

分 类 号：P426.54[天文地球—大气科学及气象学]