Simulation and retrieval for spaceborne aerosol and cloud high spectral resolution lidar of China  

作　　者：Feiyue MAO Xi LUO Jie SONG Zhenxin LIANG Wei GONG Weibiao CHEN 

机构地区：[1]School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China [2]State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China [3]Electronic Information School,Wuhan University,Wuhan 430079,China [4]Key Laboratory of Space Laser Communication and Detection Technology,Shanghai Institute of Optics and Fine Mechanics,Chinese Academy of Sciences,Shanghai 201800,China

出　　处：《Science China Earth Sciences》2022年第3期570-583,共14页中国科学（地球科学英文版）

基　　金：supported by the National Natural Science Foundation of China(Grant Nos.41627804&41971285);the Natural Science Foundation of Hubei Province(Grant No.2020CFA003);the Fundamental Research Funds for the Central Universities(Grant No.2042020kf0216)。

摘　　要：Clouds and aerosols can significantly affect global climate change and the atmospheric environment,and observing them three-dimensionally with high spatial and temporal resolutions is a long-standing issue.Spaceborne lidars are effective instruments for the vertical detection of clouds and aerosols globally.Numerous Mie scattering lidars were successfully launched and widely used,such as the Cloud-Aerosol Lidar with Orthogonal Polarization(CALIOP)and Geoscience Laser Altimeter System.However,the retrieval of Mie scattering lidar data is an ill-posed problem that introduces a large uncertainty.The spaceborne Aerosol and Cloud High Spectral Resolution Lidar(ACHSRL)of China is currently under development and scheduled for launch in the near future.The ACHSRL attracted extensive attention,because it can separate Mie and Rayleigh scattering signals and avoid ill-posed retrieval.In this study,we conducted ACHSRL signal simulation and retrieval to explore the potential of the ACHSRL.First,we proposed a simplified scheme for retrieving optical parameters,which reduced the number of equations and intermediate variables of the traditional method and avoided false extrema in the backscatter coefficient retrieval.Additionally,the experiments showed that the backscatter coefficient retrieval was overestimated owing to the influence of the Poisson noise but can be corrected.Second,we examined the feasibility of the strategy of“first retrieving the lidar ratio then retrieving the extinction coefficient”to improve the extinction coefficient retrieval.We found that the retrieval error in the simulated cases can be reduced to less than 1%of the original retrieval error.Furthermore,we discussed the influence of the uncertainty of the iodine filter transmittance on the retrieval of the optical parameters and found that the average relative error was less than 1‰.Finally,we conducted simulation and retrieval based on the atmospheric parameters measured by the CALIOP.Results showed that the relative error in the backscatter and

关 键 词：Atmospheric environment Laser detection SATELLITE Signal simulation Extinction coefficient Backscatter coefficient 

分 类 号：P407.5[天文地球—大气科学及气象学]