Articles | Volume 21, issue 22
Atmos. Chem. Phys., 21, 17003–17016, 2021
https://doi.org/10.5194/acp-21-17003-2021
Atmos. Chem. Phys., 21, 17003–17016, 2021
https://doi.org/10.5194/acp-21-17003-2021

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.

Data sets

ERA5 hourly data on pressure levels from 1979 to present ECMWF Support Portal https://doi.org/10.24381/cds.bd0915c6

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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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