AI-NAOS: an AI-based nonspherical aerosol optical scheme for the chemical weather model GRAPES_Meso5.1/CUACE

Wang, Xuan; Bi, Lei; Wang, Hong; Wang, Yaqiang; Han, Wei; Shen, Xueshun; Zhang, Xiaoye

doi:https://doi.org/10.5194/gmd-18-117-2025

Articles | Volume 18, issue 1

https://doi.org/10.5194/gmd-18-117-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-18-117-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 1

Development and technical paper

|

14 Jan 2025

Development and technical paper |

| 14 Jan 2025

AI-NAOS: an AI-based nonspherical aerosol optical scheme for the chemical weather model GRAPES_Meso5.1/CUACE

Xuan Wang, Lei Bi, Hong Wang, Yaqiang Wang, Wei Han, Xueshun Shen, and Xiaoye Zhang

Data sets

The data presented in this paper Xuan Wang et al. https://doi.org/10.5281/zenodo.11183085

Model code and software

The AI-NAOS aerosol optical module codes Xuan Wang et al. https://doi.org/10.5281/zenodo.11181275

Chemistry-weather interacted model system GRAPES_Meso5.1/CUACE CW V1.0 H. Wang https://doi.org/10.5281/zenodo.7075751

Short summary

The Artificial-Intelligence-based Nonspherical Aerosol Optical Scheme (AI-NAOS) was developed to improve the estimation of the aerosol direct radiation effect and was coupled online with a chemical weather model. The AI-NAOS scheme considers black carbon as fractal aggregates and soil dust as super-spheroids, encapsulated with hygroscopic aerosols. Real-case simulations emphasize the necessity of accurately representing nonspherical and inhomogeneous aerosols in chemical weather models.