两种基于激光雷达的水云反演方法对比研究  

Comparative Study of Two Lidar-Based Water Cloud Retrieval Methods

作　　者：张凯[1,2] 刘东 李蔚泽[1] 孙瑶 胡先哲 王帅博[1] 李晓涛 Zhang Kai;Liu Dong;Li Weize;Sun Yao;Hu Xianzhe;Wang Shuaibo;Li Xiaotao(State Key Laboratory of Extreme Photonics and Instrumentation,College of Optical Science and Engineering,Zhejiang University,Hangzhou 310027,Zhejiang,China;Donghai Laboratory,Zhoushan 316021,Zhejiang,China;ZJU-Hangzhou Global Scientific and Technological Innovation Center,Hangzhou 311200,Zhejiang,China;Intelligent Optics&Photonics Research Center,Jiaxing Research Institute,Zhejiang University,Jiaxing 314000,Zhejiang,China)

机构地区：[1]浙江大学光电科学与工程学院极端光学技术与仪器全国重点实验室,浙江杭州310027 [2]东海实验室,浙江舟山316021 [3]浙江大学杭州国际科创中心,浙江杭州311200 [4]浙江大学嘉兴研究院智能光电创新中心,浙江嘉兴314000

出　　处：《光学学报》2024年第18期168-175,共8页Acta Optica Sinica

基　　金：国家重点研发计划(2022YFB3901704,2022YFC2203904,2021YFC2202001);国家自然科学基金(62205289);浙江省自然科学基金(LQ23F050011)。

摘　　要：介绍两种分别基于偏振米散射激光雷达(ML)与双视场高光谱分辨率激光雷达(HSRL)的水云反演方法,通过4个典型水云案例的反演结果对比了两者的性能表现。结果表明,两种方法对于水云消光系数的反演精度相当,而双视场HSRL方法的有效半径反演精度优于偏振ML方法。在牺牲一定算法效率的前提下,可以通过增大查找表格点分辨率以提高偏振ML方法的反演精度。因为HSRL分子通道信号强度较弱,双视场HSRL方法的反演稳定性更容易受到分子通道信号噪声干扰。这两种水云方法的评估将为后续基于激光雷达观测水云的仪器与算法发展提供重要参考。Objective High-precision detection of the optical and microphysical properties of water clouds is essential for understanding climate change processes.Effective retrieval of the extinction coefficient and effective radius of water clouds can be achieved by utilizing the multiple scattering effect in water cloud signals detected by lidar.In this work,two water cloud retrieval methods based on polarized Mie-scattering lidar(ML)and dual-field-of-view high spectral resolution lidar(HSRL),respectively,are introduced.The performances of these methods are compared through the retrieval results from four representative water cloud cases.The results indicate that while both methods exhibit comparable retrieval accuracies for water cloud extinction coefficients,the dual-field-of-view HSRL method demonstrates superior performance in retrieving the effective radius retrieval.Enhancing the retrieval accuracy of the polarized ML method is possible by increasing the resolution of the lookup table points,though this comes at the cost of some algorithmic efficiency.Due to the weaker signal intensity at the HSRL molecular channel,the retrieval stability of the dual-field-of-view HSRL method is more sensitive to the signal noise from the molecular channel.The evaluation presented in our study provides an important reference for the future development of instruments and algorithms for observing water clouds based on lidar.Methods This paper presents and compares two water cloud retrieval methods based on polarized ML and dual-field-of-view HSRL,respectively.The modified gamma distribution is adopted to parameterize the droplet size distribution of water clouds,while the adiabatic model is used to characterize the vertical distribution of water cloud properties.The Monte Carlo model and analytical model simulate multiple scattering lidar signals from water clouds during the retrieval process.Lastly,a detailed description of the polarized ML method and the dual-field-of-view HSRL method is provided,along with their respective flowchar

关 键 词：大气光学 激光雷达 水云 多次散射效应 光学及微物理特性 

分 类 号：P407[天文地球—大气科学及气象学]