空间科学学报2025，Vol.45Issue(4)：995-1006,12.DOI:10.11728/cjss2025.04.2024-0081
基于最优估计法的瑞利激光雷达反演大气温度不确定度
Uncertainty Evaluation of Atmospheric Temperature Retrieval Using Rayleigh Lidar Based on the Optimal Estimation Method
摘要
Abstract
As a new retrieval method,the Optimal Estimation Method(OEM)is playing an increas-ingly important role in detecting the atmospheric environment by lidar.In this study,the necessity of calculating the uncertainty of retrieval results was analyzed first.To characterize the reliability of the at-mospheric temperature inversion results by lidar,the OEM uncertainty formula was derived and the sources of uncertainty was clarified.There were four sources of uncertainty,which were smoothing uncer-tainty,model parameter uncertainty,forward model uncertainty and noise uncertainty.Regarding the problem of using Rayleigh lidar to retrieve the temperature of the middle atmosphere,the forward mod-el was derived based on the lidar equation,ideal gas state equation,and hydrostatic equilibrium as rea-sonable assumptions.Based on the simulated echo photon profiles of the Rayleigh lidar calculated by for-ward model,the middle atmospheric temperature and the corresponding uncertainty was calculated,which demonstrated that the main uncertainty sources in the OEM retrieval process are the reference pressure uncertainty and noise uncertainty.Using the Monte Carlo Method(MCM),the OEM uncertain-ty verification framework was established and the uncertainty values generated by different sources of uncertainty were verified.Afterwards,the total uncertainty value caused by all sources of uncertainty was also verified.Results showed that the uncertainty calculated by two different methods and the total uncertainty were consistent below the altitude of 85 km,proving the accuracy of the OEM uncertainty theories.In addition,temperature retrieval based on measured results by Rayleigh lidar was performed.The characteristics of the measured data were introduced in detail,and the retrieval results and corre-sponding uncertainties were calculated.The results prove the conclusion that the main uncertainty sources in the OEM inversion process are the reference pressure uncertainty and noise uncertainty.The work of this article paves the way for the applications of lidar in monitoring the atmospheric environ-ment.关键词
瑞利激光雷达/最优估计法/不确定度/大气温度/蒙特卡罗方法Key words
Rayleigh lidar/Optimal Estimation Method(OEM)/Uncertainty/Atmospheric temperature/Monte Carlo Method(MCM)分类
天文与地球科学引用本文复制引用
张潇剑,张献中,李欣岐,吴同,钟凯,闫召爱,徐德刚,姚建铨..基于最优估计法的瑞利激光雷达反演大气温度不确定度[J].空间科学学报,2025,45(4):995-1006,12.基金项目
国家自然科学基金项目资助(62175184) （62175184）
