| 利用小波降噪的瑞利激光雷达平流层温度反演 |
| |
| 引用本文： | 田力,郭胜利,卜令兵,黄兴友,夏俊荣. 利用小波降噪的瑞利激光雷达平流层温度反演[J]. 红外与激光工程, 2012, 41(3): 649-654 |
| |
| 作者姓名： | 田力 郭胜利 卜令兵 黄兴友 夏俊荣 |
| |
| 作者单位： | 1. 南京信息工程大学数理学院,江苏南京,210044
2. 南京信息工程大学气象灾害省部共建教育部重点实验室,江苏南京,210044 |
| |
| 基金项目： | 国家自然科学基金(40805016/D0503);江苏省研究生科研创新计划(CXLX11-0632) |
| |
| 摘 要： | 介绍了瑞利-拉曼-米散射激光雷达的基本结构与瑞利散射温度反演原理,通过分析对比获得了适合瑞利散射信号的小波分解层数及阈值选取规则,并分别使用小波硬阈值法与软阈值法对信号进行处理,相比而言软阈值法具有更好的降噪效果。利用上述算法反演出南京上空平流层28~46km的温度廓线,将结果与MSISE-90大气模式及AIRS卫星数据进行比对,均表现较好的一致性,验证了小波降噪在瑞利激光雷达温度反演算法中的可靠性。在算法研究的基础上,反演了2009年12月19日19时20分至20时20分连续观测的数据,表明在短时间内平流层温度总体趋势稳定;并对2009年10月至12月的观测数据进行分析处理,得到南京上空平流层月平均温度廓线,表明南京上空的平流层温度在冬季变化不明显。
|
| 关 键 词： | 瑞利激光雷达 小波降噪 温度反演 平流层 |
Stratosphere temperature inversion algorithm of Rayleigh lidar using wavelet-denosing |
| |
| Tian Li , Guo Shengli , Bu Lingbing , Huang Xingyou , Xia Junrong. Stratosphere temperature inversion algorithm of Rayleigh lidar using wavelet-denosing[J]. Infrared and Laser Engineering, 2012, 41(3): 649-654 |
| |
| Authors: | Tian Li Guo Shengli Bu Lingbing Huang Xingyou Xia Junrong |
| |
| Affiliation: | 1.Department of Mathematics and Physics Science,Nanjing University of Information Science and Technology, Nanjing 210044,China;2.Key Laboratory of Meteoroglogical Disaser of Ministry of Education, Nanjing University of Information Science and Technology,Nanjing 210044,China) |
| |
| Abstract: | The basic structure of Rayleigh-Raman-Mie(RRM) lidar and temperature inversion principle of Rayleigh scattering were introduced.The best result of wavelet decompose layer and threshold selection method for Rayleigh scattering signals were obtained by analysis and comparison.Compared with the wavelet hard-threshold method,the wavelet soft-threshold method had better denoising result.The wavelet denoising algorithm was used to invert the stratosphere temperature profile over Nanjing between the altitude from 28 to 46 km.By comparing with both the MSISE-90 model and the result from AIRS,it showed good consistency and verified the reliability of the algorithm.Based on studies of the algorithm,continuous observation data form 19:20 to 20:20 on December 19th in 2009 were processed,indicating that the stratospheric temperature was stable in short time.Long time observation data from October to December in 2009 were processed as well,the results show that the average stratopause temperature has stable trend between October and December. |
| |
| Keywords: | Rayleigh lidar wavelet-denoising temperature inversion stratospheric |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
