Acta Optica Sinica, Volume. 45, Issue 18, 1801009(2025)

Bayesian Retrieval and Uncertainty Quantification of Aerosol Microphysical Properties from Multiwavelength Lidar (Invited)

Yinan Wang1、*, Wei Zhao1, Yubing Pan2, Yinghua Qiu1, and Daren Lu1、**
Author Affiliations
  • 1Key Laboratory of Middle Atmosphere and Global Environment Observation (LAGEO), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
  • 2Institute of Urban Meteorology, CMA, Beijing 100089, China
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    Figures & Tables(4)
    Hierarchical Bayesian model represented as a probabilistic graphical model for multiwavelength lidar aerosol retrieval
    Comparison of aerosol retrieval workflows between Bayesian method and Tikhonov regularization
    Aerosol particle size distributions retrieval results of unimodal and bimodal under ideal conditions. (a) Unimodal; (b) bimodal
    Inversion robustness under noisy conditions. (a) 10% noise; (b) 20% noise
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    Yinan Wang, Wei Zhao, Yubing Pan, Yinghua Qiu, Daren Lu. Bayesian Retrieval and Uncertainty Quantification of Aerosol Microphysical Properties from Multiwavelength Lidar (Invited)[J]. Acta Optica Sinica, 2025, 45(18): 1801009

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    Paper Information

    Category: Atmospheric Optics and Oceanic Optics

    Received: Jun. 16, 2025

    Accepted: Jul. 22, 2025

    Published Online: Sep. 19, 2025

    The Author Email: Yinan Wang (wangyinan@mail.iap.ac.cn), Daren Lu (ludr@mail.iap.ac.cn)

    DOI:10.3788/AOS251295

    CSTR:32393.14.AOS251295

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