Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 19, issue 20
Articles | Volume 19, issue 20
https://doi.org/10.5194/amt-19-6517-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-19-6517-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 20
Research article
 | 
16 Oct 2026
Research article |  | 16 Oct 2026

Classification-constrained retrieval of PM2.5 vertical profiles from fluorescence-raman-mie polarization lidar

Siying Chen, Yingjie Shu, He Chen, Pan Guo, Yurong Jiang, Guoxing Hu, Xiaolei Zhang, Haokai Yang, Mengjun Feng, Yue Cao, and Kaitong Zhang

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Short summary
Air pollution can change rapidly above cities, while ground monitors show conditions at only one height. We used a laser-based instrument to distinguish urban pollution particles from dust and estimate how fine-particle pollution changed with height over Beijing. Testing against independent monitoring data showed that accounting for particle type reduced errors by 38 %. This approach can improve understanding of pollution layers and their movement.
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