Articles | Volume 19, issue 18
https://doi.org/10.5194/amt-19-5871-2026
https://doi.org/10.5194/amt-19-5871-2026
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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Cited articles

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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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