Articles | Volume 26, issue 7
https://doi.org/10.5194/acp-26-5063-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-26-5063-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Atmospheric vertical structure variations during severe aerosol pollution events based on lidar observations
Qimeng Li
School of Optoelectronic Science and Intelligent Instrumentation, Xi'an University of Technology, Xi'an 710048, China
School of Electronic Information, Shaanxi Institute of Technology, Xi'an 710300, China
Huige Di
CORRESPONDING AUTHOR
School of Optoelectronic Science and Intelligent Instrumentation, Xi'an University of Technology, Xi'an 710048, China
Ning Chen
School of Optoelectronic Science and Intelligent Instrumentation, Xi'an University of Technology, Xi'an 710048, China
Xiao Cheng
School of Optoelectronic Science and Intelligent Instrumentation, Xi'an University of Technology, Xi'an 710048, China
Jiaying Yang
School of Optoelectronic Science and Intelligent Instrumentation, Xi'an University of Technology, Xi'an 710048, China
Yun Yuan
School of Optoelectronic Science and Intelligent Instrumentation, Xi'an University of Technology, Xi'an 710048, China
Qing Yan
School of Optoelectronic Science and Intelligent Instrumentation, Xi'an University of Technology, Xi'an 710048, China
Dengxin Hua
School of Optoelectronic Science and Intelligent Instrumentation, Xi'an University of Technology, Xi'an 710048, China
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Huige Di, Xinhong Wang, Ning Chen, Jing Guo, Wenhui Xin, Shichun Li, Yan Guo, Qing Yan, Yufeng Wang, and Dengxin Hua
Atmos. Meas. Tech., 17, 4183–4196, https://doi.org/10.5194/amt-17-4183-2024, https://doi.org/10.5194/amt-17-4183-2024, 2024
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This study proposes an inversion method for atmospheric-aerosol or cloud microphysical parameters based on dual-wavelength lidar data. It is suitable for the inversion of uniformly mixed and single-property aerosol layers or small cloud droplets. For aerosol particles, the inversion range that this algorithm can achieve is 0.3–1.7 μm. For cloud droplets, it is 1.0–10 μm. This algorithm can quickly obtain the microphysical parameters of atmospheric particles and has better robustness.
Huige Di and Yun Yuan
Atmos. Chem. Phys., 24, 5783–5801, https://doi.org/10.5194/acp-24-5783-2024, https://doi.org/10.5194/acp-24-5783-2024, 2024
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We observed the seeder–feeder process among double-layer clouds using a cloud radar and microwave radiometer. By defining the parameters of the seeding depth and seeding time of the upper cloud affecting the lower cloud, we find that the cloud particle terminal velocity is significantly enhanced during the seeder–feeder period, and the lower the height and thinner the thickness of the height difference between double-layer clouds, the lower the height and thicker the thickness of seeding depth.
Yun Yuan, Huige Di, Yuanyuan Liu, Tao Yang, Qimeng Li, Qing Yan, Wenhui Xin, Shichun Li, and Dengxin Hua
Atmos. Meas. Tech., 15, 4989–5006, https://doi.org/10.5194/amt-15-4989-2022, https://doi.org/10.5194/amt-15-4989-2022, 2022
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We put forward a new algorithm for joint observation of the cloud boundary by lidar and Ka-band millimetre-wave cloud radar. Cloud cover and boundary distribution characteristics are analysed from December 2020 to November 2021 in Xi'an. More than 34 % of clouds appear as a single layer every month. The maximum and minimum normalized cloud cover occurs in summer and winter, respectively. The study can provide more information on aerosol–cloud interactions and forecasting numerical models.
Huige Di, Yun Yuan, Qing Yan, Wenhui Xin, Shichun Li, Jun Wang, Yufeng Wang, Lei Zhang, and Dengxin Hua
Atmos. Meas. Tech., 15, 3555–3567, https://doi.org/10.5194/amt-15-3555-2022, https://doi.org/10.5194/amt-15-3555-2022, 2022
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It is necessary to correctly evaluate the amount of cloud water resources in an area. Currently, there is a lack of effective observation methods for atmospheric column condensate evaluation. We propose a method for atmospheric column condensate by combining millimetre cloud radar, lidar and microwave radiometers. The method can realise determination of atmospheric column condensate. The variation of cloud before precipitation is considered, and the atmospheric column is deduced and obtained.
Guanglie Hong, Yu Dong, and Huige Di
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-69, https://doi.org/10.5194/amt-2022-69, 2022
Revised manuscript not accepted
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According to the absorption spectrum characteristics of oxygen A-band, a comprehensive budget is made in connection with various errors. The main purpose is to select a group of detection wavelengths with excellent performance and small error to match the evaluated radar system model, so as to provide a reference idea for the actual establishment of the experimental system in the future.
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Short summary
A severe winter haze event was observed with a Raman–Mie lidar, providing high-resolution profiles of the atmospheric vertical structure. By integrating collocated radiosonde and surface meteorological data, the key meteorological characteristics, influencing factors, and interaction mechanisms governing the formation and evolution of this haze event were analyzed. The solar radiation plays a significant role in haze development, with a strong coupling between aerosols and temperature.
A severe winter haze event was observed with a Raman–Mie lidar, providing high-resolution...
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