Chinese Journal of Lasers, Volume. 52, Issue 17, 1710001(2025)

Analysis and Optimization of Aerosol Retrieval Methods for Raman‑Mie LiDAR

Ji Shen1, Xinglai Lu1、*, Liang Chen1, Hao Chen1, Han Wang1, Zhangwei Wang1, and Nianwen Cao2
Author Affiliations
  • 1Zhejiang Atmosphere Observation Technical Support Centre, Hangzhou 310018, Zhejiang , China
  • 2Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, Jiangsu , China
  • show less
    References(24)

    [1] Li Y H, Liu Z K, Sun S S et al. Analysis of a dust process based on lidar and super station monitoring[J]. Environmental Monitoring in China, 39, 63-71(2023).

    [20] Gao Y C, Li S C, Wei F L et al. New algorithm and analysis of exponential iterative inversion for aerosol lidar[J]. Laser & Optoelectronics Progress, 61, 2301005(2024).

    [21] Guo P, Wang J N, Tan W S et al. Analysis of covariance relationship between aerosol and water vapor vertical distributions in Beijing[J]. Laser & Optoelectronics Progress, 61, 2301004(2024).

    Tools

    Get Citation

    Copy Citation Text

    Ji Shen, Xinglai Lu, Liang Chen, Hao Chen, Han Wang, Zhangwei Wang, Nianwen Cao. Analysis and Optimization of Aerosol Retrieval Methods for Raman‑Mie LiDAR[J]. Chinese Journal of Lasers, 2025, 52(17): 1710001

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: remote sensing and sensor

    Received: Feb. 24, 2025

    Accepted: Apr. 24, 2025

    Published Online: Sep. 14, 2025

    The Author Email: Xinglai Lu (1162856097@qq.com)

    DOI:10.3788/CJL250555

    CSTR:32183.14.CJL250555

    Topics