Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 1
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

Viewed

Total article views: 2,759 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,405 478 876 2,759 80 133
  • HTML: 1,405
  • PDF: 478
  • XML: 876
  • Total: 2,759
  • BibTeX: 80
  • EndNote: 133
Views and downloads (calculated since 04 Jun 2024)
Cumulative views and downloads (calculated since 04 Jun 2024)

Viewed (geographical distribution)

Total article views: 2,759 (including HTML, PDF, and XML) Thereof 2,687 with geography defined and 72 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Dec 2025
Download
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.
Read more
Share