Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
Articles | Volume 21, issue 22
Articles | Volume 21, issue 22
Atmos. Chem. Phys., 21, 17003–17016, 2021
https://doi.org/10.5194/acp-21-17003-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Chem. Phys., 21, 17003–17016, 2021
https://doi.org/10.5194/acp-21-17003-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 21, issue 22
Research article
24 Nov 2021
Research article | 24 Nov 2021

Estimation of the vertical distribution of particle matter (PM2.5) concentration and its transport flux from lidar measurements based on machine learning algorithms

Yingying Ma et al.

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Latest update: 29 Nov 2022
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Short summary
The vertical distribution of the aerosol extinction coefficient (EC) measured by lidar systems has been used to retrieve the profile of particle matter with a diameter of less than 2.5 μm (PM2.5). However, the traditional linear model cannot consider the influence of multiple meteorological variables sufficiently, which then causes low inversion accuracy. In this study, the machine learning algorithms which can input multiple features are used to solve this constraint.
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