Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 19, issue 18
Articles | Volume 19, issue 18
https://doi.org/10.5194/amt-19-5871-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-19-5871-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 18
Research article
 | 
16 Sep 2026
Research article |  | 16 Sep 2026

An AI-based algorithm for retrieving aerosol optical depth and single scattering albedo using All-Sky Imager observations

Heyang Ni, Jing Li, Liang Chang, Yueming Dong, Guanghao Du, Muqian Li, Qiurui Li, Guanyu Liu, Yuebo Sun, Angnuo Tian, Sheng Yue, Chongzhao Zhang, and Zhenyu Zhang

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Short summary
This study develops a new artificial intelligence method to retrieve daytime aerosol optical parameters using low-cost All-Sky Imagers. By training a model with high-precision data, we successfully estimated the aerosol optical depth and single scattering albedo simultaneously. Our results show high accuracy across different global regions. This approach is much faster than traditional complex calculations, making it easier to deploy dense observation networks to improve climate research.
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