Profiling Aerosol Liquid Water Content Using a Polarization Lidar

被引:11
|
作者
Tan, Wangshu [1 ]
Yu, Yingli [1 ]
Li, Chengcai [1 ]
Li, Jing [1 ]
Kang, Ling [2 ]
Dong, Huabin [2 ]
Zeng, Limin [2 ]
Zhu, Tong [2 ,3 ]
机构
[1] Peking Univ, Sch Phys, Dept Atmospher & Ocean Sci, Beijing 100871, Peoples R China
[2] Peking Univ, Coll Environm Sci & Engn, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100871, Peoples R China
[3] Peking Univ, Beijing Innovat Ctr Engineer Sci & Adv Technol, Beijing 100871, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
SCATTERING ENHANCEMENT FACTOR; SINGLE CALCULUS CHAIN; HYGROSCOPIC GROWTH; RAMAN LIDAR; DEPOLARIZATION-RATIO; CHEMICAL-COMPOSITION; OPTICAL-PROPERTIES; URBAN ATMOSPHERE; EXPLOSIVE GROWTH; TECHNICAL NOTE;
D O I
10.1021/acs.est.9b07502
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Aerosol liquid water content (ALWC) plays fundamental roles in atmospheric radiation and chemical processes. However, there is little information about ALWC vertical distribution due to the lack of sufficient measurement. In this study, a novel method to retrieve ALWC using a polarization lidar is proposed. By analyzing lidar measurement combined with in situ chemical composition measurements at the surface, the particle linear depolarization ratio delta(p) is found to be well correlated with the liquid water mass fraction. The method is built upon a valid relationship between delta(p) and the ratio of ALWC to the particle backscatter coefficient. ALWC can be retrieved with a relative error of 30% with this method. A case study shows that the ALWC in upper levels of the boundary layer may be different from that at the ground, suggesting the importance of measuring ALWC vertical profiles during haze episodes. The study proves that polarization lidars have the potential to retrieve vertical distributions of ALWC which benefit studies on haze formation.
引用
收藏
页码:3129 / 3137
页数:9
相关论文
共 50 条
  • [1] Retrieval of aerosol liquid water content from high spectral resolution lidar
    Ren, Jingjing
    Tan, Wangshu
    Tian, Xiaoqing
    Wu, Zhaolong
    Li, Chengcai
    Li, Jing
    Zhao, Chunsheng
    Liu, Dong
    Kang, Ling
    Zhu, Tong
    SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 799 (799)
  • [2] Identification of aerosol species using polarization lidar
    Cao, Nianwen
    Zhu, Cunxiong
    Yang, Shaobo
    Xie, Yinhai
    Yang, Fengkai
    Zhang, Feng
    OPTICS AND SPECTROSCOPY, 2014, 117 (03) : 486 - 491
  • [3] Identification of aerosol species using polarization lidar
    Nianwen Cao
    Cunxiong Zhu
    Shaobo Yang
    Yinhai Xie
    Fengkai Yang
    Feng Zhang
    Optics and Spectroscopy, 2014, 117 : 486 - 491
  • [4] Six-channel multi-wavelength polarization Raman lidar for aerosol and water vapor profiling
    Wang, Zhaofei
    Mao, Jiandong
    Li, Juan
    Zhao, Hu
    Zhou, Chunyan
    Sheng, Hongjiang
    APPLIED OPTICS, 2017, 56 (20) : 5620 - 5629
  • [5] ECOSYSTEM STUDIES USING PROFILING POLARIZATION LIDAR
    Churnside, James H.
    2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014, : 2699 - 2702
  • [6] Transportable Rayleigh/Raman lidar for aerosol and water vapor profiling
    Congeduti, F
    D'Aulerio, P
    Casadio, S
    Baldetti, P
    Belardinelli, F
    REMOTE SENSING OF CLOUDS AND THE ATMOSPHERE V, 2001, 4168 : 182 - 190
  • [7] 1064 nm rotational Raman polarization lidar for profiling aerosol and cloud characteristics
    Wang, Longlong
    Yin, Zhenping
    Lu, Tong
    Yi, Yang
    Dong, Xiangyu
    Dai, Yaru
    Bu, Zhichao
    Chen, Yubao
    Wang, Xuan
    OPTICS EXPRESS, 2024, 32 (09): : 14963 - 14977
  • [8] LiDAR-Based Remote Sensing of the Vertical Profile of Aerosol Liquid Water Content Using a Machine-Learning Model
    Wu, Tong
    Li, Zhanqing
    Jin, Xiaoai
    Wang, Wei
    Wu, Hao
    Ren, Rongmin
    Zhang, Dongmei
    Chen, Lu
    Su, Yunfei
    Cribb, Maureen
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [9] Dependence of polarization characteristics of the double scattering lidar return from liquid water content of clouds
    Nee, E. V.
    Bryukhanova, V. V.
    Doroshkevich, A. A.
    22ND INTERNATIONAL SYMPOSIUM ON ATMOSPHERIC AND OCEAN OPTICS: ATMOSPHERIC PHYSICS, 2016, 10035
  • [10] Development of Raman lidar techniques to address the indirect aerosol effect: Retrieving the liquid water content of clouds
    Russo, F
    Whiteman, DN
    Demoz, B
    Veselovskii, I
    Melfi, SH
    Hoff, RM
    22ND INTERNATIONAL LASER RADAR CONFERENCE (ILRC 2004), VOLS 1 AND 2, 2004, 561 : 411 - 414