Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 17, issue 13
Articles | Volume 17, issue 13
https://doi.org/10.5194/amt-17-4183-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-4183-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 13
Research article
 | 
15 Jul 2024
Research article |  | 15 Jul 2024

The algorithm of microphysical-parameter profiles of aerosol and small cloud droplets based on the dual-wavelength lidar data

Huige Di, Xinhong Wang, Ning Chen, Jing Guo, Wenhui Xin, Shichun Li, Yan Guo, Qing Yan, Yufeng Wang, and Dengxin Hua

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Cited articles

Cai, Z. X., Li, Z. Q., Li, P. R., Li, J. X., Sun, H. P., Yang, Y. M., Gao, X., Ren, G., Ren, R. M., and Wei, J.: Vertical Distributions of Aerosol and Cloud Microphysical Properties and the Aerosol Impact on a Continental Cumulus Cloud Based on Aircraft Measurements from the Loess Plateau of China, Atmos. Environ., 270, 118888, https://doi.org/10.1016/j.atmosenv.2021.118888, 2022. 
de Graaf, M., Apituley, A., and Donovan, D. P.: Feasibility study of integral property retrieval for tropospheric aerosol from Raman lidar data using principle component analysis, Appl. Optics, 52, 2173–2186, https://doi.org/10.1364/AO.52.002173, 2013. 
Di, H. G., Wang, Q. Y., Hua, H. B., Li, S. W., Yan, Q., Liu, J. J., Song, Y. H., and Hua, D. X.: Aerosol Microphysical Particle Parameter Inversion and Error Analysis Based on Remote Sensing Data, Remote Sens.-Basel, 10, 1753, https://doi.org/10.3390/rs10111753, 2018a. 
Di, H. G., Zhao, J., Zhao, X., Zhang, Y. X., Wang, Z. X., Wang, X. W., Wang, Y. F., Zhao, H., and Hua, D. X.: Parameterization of aerosol number concentration distributions from aircraft measurements in the lower troposphere over Northern China, J. Quant. Spectrosc. Ra., 218, 46–53, https://doi.org/10.1016/j.jqsrt.2018.07.009, 2018b. 
Ding, J. F., Tian, W. S., Xiao, H., Cheng, B., Liu, L., Sha, X. Z., Song, C., Sun, Y., ang Shu, W. X.: Raindrop size distribution and microphysical features of the extremely severe rainstorm on 20 July 2021 in Zhengzhou, China, Atmos. Res., 289, 106739, https://doi.org/10.1016/j.atmosres.2023.106739, 2023. 
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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.
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