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 · 发表于：PhotoniX · 年份：2022 · DOI：10.1186/s43074-022-00063-3 · 被引用次数：78 · 研究领域：Atmospheric aerosols and clouds、Atmospheric and Environmental Gas Dynamics、Atmospheric chemistry and aerosols

Abstract 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 remote sensing technique for the vertical observations of aerosols and clouds. China launched its 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 the globe. This study presents a retrieval algorithm for aerosol and cloud optical properties from ACHSRL which were compared with the end-to-end Monte-Carlo simulations and validated with the data from an airborne flight with the ACHSRL prototype (A2P) instrument. Using imaging denoising, threshold discrimination, and iterative reconstruction methods, this algorithm was developed for calibration, feature detection, and extinction coefficient (EC) retrievals. The simulation results show that 95.4% of the backscatter coefficient (BSC) have an error less than 12% while 95.4% of EC have an error less than 24%. Cirrus and marine and urban aerosols were identified based on the airborne measurements over different surface types. Then, comparisons were made with U.S. Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) profiles, Moderate-resolution Imaging Spectroradiometer (MODIS), and the ground-based sun photometers. High correlations ( R > 0.79) were found between BSC (EC) profiles of A2P and CALIOP over forest and town cover, while the correla...