摘要
反演云底高度是激光云高仪最重要的应用之一,而找到一种能够有效反演不同类型云的云底高度算法是激光云高仪测云的关键。对于厚度比较大的云层测量可根据信号强度和脉冲宽度不同于噪声和气溶胶信号将其分选出来,而薄云的测量往往由于信号强度弱、脉冲宽度小而被忽略掉,为此提出了一种峰值面积积分算法反演云底高度。该算法通过对云回波信号进行面积积分,叠加放大信号中的云层信息,以峰值和面积积分值作为判断准则,通过选取合适的阈值,将云层与噪声、气溶胶区分开来,进而反演出云底高度。经实验验证表明,该算法能可靠地反演半导体激光云高仪探测范围内不同类型云的云底高度。
Retrieving the cloud-base height is one of the most important application with laser ceilometer, and the algorithm of retrieving effective the cloud-base height of different types of clouds is the key to detect cloud for laser ceilometer. For thicker cloud, because the intensity and pulse width of the cloud echo is different from the atmospheric aerosol and the random noise, they can easily be distinguished from aerosol and noise. However, for thinner cloud, because the intensity is weaker and the pulse width of the cloud echo is less, they can easily be ignored. To effective retrieve the cloud-base height, a peak and area integral algorithm was put forward. Firstly through retrieving the area integral to lidar returns, the cloud information was amplified. Secondly making the peak and area integral as a criterion, the cloud information could be distinguished from noise and aerosol by choosing proper threshold. The results indicate that the peak and area integral algorithm can be used to retrieve the cloud-base height of different kinds of cloud within the detection range of laser ceilometer.
出处
《红外与激光工程》
EI
CSCD
北大核心
2012年第10期2848-2852,共5页
Infrared and Laser Engineering
基金
国家863计划(2009AA06A311)
公益性行业(气象)科研专项基金(GYHY200706023)
合肥物质研究院青年人才基金(Y03RC11122)
关键词
峰值面积积分算法
半导体激光云高仪
云底高度
大气光学
peak and area integral algorithm
laser diode ceilometer
cloud-base height
atmospheric optics
作者简介
杨成武（1979-），男，博士生，主要从事测云激光雷达数据处理及特征参数提取算法等方面的研究。Email：cwyang@aiofm．ac．cn
导师简介：刘文清（1954-），男，高级研究员，博士，主要从事新型环境监测技术，痕量气体水体、目标散射特性等的光学与光谱学监测方法，机动车尾气在线监测技术等方面的研究和相应的般测仪器研发工作。Email：wqliu@aiofm．ac．cn
