Development of China’s first space-borne aerosol-cloud high-spectral-resolution lidar:retrieval algorithm and airborne demonstration  

作　　者：Ju Ke Yingshan Sun Changzhe Dong Xingying Zhang Zijun Wang Liqing Lyu Wei Zhu Albert Ansmann Lin Su Lingbing Bu Da Xiao Shuaibo Wang Sijie Chen Jiqiao Liu Weibiao Chen Dong Liu 

机构地区：[1]State Key Laboratory of Modern Optical Instrumentation,College of Optical Science and Engineering,Zhejiang University,Hangzhou 310027,China [2]ZJU‑Hangzhou Global Scientific and Technological Innovation Center,Zhejiang University,Hangzhou 311200,China [3]Shanghai Institute of Satellite Engineering,Shanghai 201109,China [4]National Satellite Meteorological Center,China Meteorological Administration,Beijing 100081,China [5]Shanghai Academy of Spaceflight Technology,Shanghai 201109,China [6]Leibniz Institute for Tropospheric Research(TROPOS),04318 Leipzig,Germany [7]Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China [8]Collaborative Innovation Center On Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science and Technology,Nanjing 210044,China [9]Shanghai Institute of Optics and Fine Mechanics,Chinese Academy of Science,Shanghai 201800,China. [10]Intelligent Optics&Photonics Research Center,Jiaxing Research Institute Zhejiang University,Jiaxing 314000,China. [11]Jiaxing Key Laboratory of Photonic Sensing&Intelligent Imaging,Jiaxing 314000,China.

出　　处：《PhotoniX》2022年第1期222-241,共20页智汇光学（英文）

基　　金：supported by the Excellent Young Scientist Program of Zhejiang Provincial Natural Science Foundation of China(LR19D050001);State Key Laboratory of Modern Optical Instrumentation Innovation Program(MOI2021ZD01);A Project Supported by Scientific Research Fund of Zhejiang University(XY2021050).

摘　　要：Aerosols and clouds greatly affect the Earth’s radiation budget and global climate.Light detection and ranging(lidar)has been recognized as a promising active remotesensing technique for the vertical observations of aerosols and clouds.China launchedits first space-borne aerosol-cloud high-spectral-resolution lidar(ACHSRL)on April 16,2022,which is capable for high accuracy profiling of aerosols and clouds around theglobe.This study presents a retrieval algorithm for aerosol and cloud optical propertiesfrom ACHSRL which were compared with the end-to-end Monte-Carlo simulationsand validated with the data from an airborne flight with the ACHSRL prototype(A2P)instrument.Using imaging denoising,threshold discrimination,and iterative reconstructionmethods,this algorithm was developed for calibration,feature detection,and extinction coefficient(EC)retrievals.The simulation results show that 95.4%of thebackscatter coefficient(BSC)have an error less than 12%while 95.4%of EC have anerror less than 24%.Cirrus and marine and urban aerosols were identified based on theairborne measurements over different surface types.Then,comparisons were madewith U.S.Cloud-Aerosol Lidar with Orthogonal Polarization(CALIOP)profiles,ModerateresolutionImaging Spectroradiometer(MODIS),and the ground-based sun photometers.High correlations(R>0.79)were found between BSC(EC)profiles of A2P andCALIOP over forest and town cover,while the correlation coefficients are 0.57 for BSCand 0.58 for EC over ocean cover;the aerosol optical depth retrievals have correlationcoefficient of 0.71 with MODIS data and show spatial variations consistent with thosefrom the sun photometers.The algorithm developed for ACHSRL in this study can bedirectly employed for future space-borne high-spectral-resolution lidar(HSRL)and itsdata products will also supplement CALIOP data coverage for global observations ofaerosol and cloud properties.

关 键 词：AEROSOL CLOUD RETRIEVAL Space-borne lidar Airborne campaign 

分 类 号：TN95[电子电信—信号与信息处理]