Laser & Optoelectronics Progress, Volume. 59, Issue 2, 0228004(2022)

Characteristics of Aerosol Vertical Distribution in Yuncheng Area Based on CALIOP

Qian Yang1, Chenhui Han2, Xiaonan Mi1、*, Xiao Wang3, Xiaoqiong Wang1, Yongqiang Zhao1, and Chao Yang1
Author Affiliations
  • 1Shanxi Climate Center, Taiyuan , Shanxi 030002, China
  • 2Shanxi Meteorological Service Center, Taiyuan , Shanxi 030002, China
  • 3Xi'an Institute for Innovative Earth Environment Research, Xi'an , Shaanxi 710061, China
  • show less

    Ground hourly, daily, and CALIOP data from nine meteorological stations in the Yuncheng area of Shanxi Province from January 1, 2017 to December 31, 2019 were used to analyze the vertical aerosol distribution characteristics on haze and clear days. The results showed that aerosols were mainly concentrated in the atmosphere layer of 0-2 km on haze days, especially the layer of approximately 0.517 km, and the maximum aerosol extinction coefficient was 0.61 km-1. Within 0-1 km, on haze days, the maximum extinction coefficient was approximately three times greater than that on clear days. There was a significant difference in the vertical distributions of aerosols during the day and night. When the aerosol extinction coefficient was the same, the aerosol height was higher during the day than that at night. When haze events happened, volume depolarization ratios of aerosols concentrated in 0-0.2. On clear days, the frequency of near-surface volume depolarization ratios ranged from 0 to 0.2, which was lower than that on haze days, and the number of small-particle aerosols was greater than that of large-particle aerosols.

    Tools

    Get Citation

    Copy Citation Text

    Qian Yang, Chenhui Han, Xiaonan Mi, Xiao Wang, Xiaoqiong Wang, Yongqiang Zhao, Chao Yang. Characteristics of Aerosol Vertical Distribution in Yuncheng Area Based on CALIOP[J]. Laser & Optoelectronics Progress, 2022, 59(2): 0228004

    Download Citation

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

    Category: Remote Sensing and Sensors

    Received: Nov. 30, 2020

    Accepted: Jan. 22, 2021

    Published Online: Jan. 12, 2022

    The Author Email: Mi Xiaonan (bigrice12345@126.com)

    DOI:10.3788/LOP202259.0228004

    Topics