13 citations as recorded by crossref.

1. Combined effect of surface PM2.5 assimilation and aerosol-radiation interaction on winter severe haze prediction in central and eastern China Y. Peng et al.
2. The application study of the revised IMPROVE atmospheric extinction algorithm in atmospheric chemistry model focusing on improving low visibility prediction in eastern China C. Han et al.
3. Modeling study of the effects of entrainment-mixing on fog simulation in the chemistry–weather coupling model GRAPES_Meso5.1/CUACE CW Y. Zhao et al.
4. Data assimilation of aerosol optical depth (AOD) in CMA-MESO/CUACE model to improve weather predictions in China J. Hong et al.
5. An advanced double-moment cloud microphysics scheme with explicit aerosol-cloud interactions and its performance in quantitative precipitation forecasting (QPF) in the CMA-MESO V5.0 B. Jian et al.
6. Effect of cloud microphysical processes on surface wind of a squall line in South China Z. Chen et al.
7. Development of the CMA-ChemRA: China Regional Weakly Coupled Chemical-Weather Reanalysis System with product since 2007 T. Zhang et al.
8. The impact of aerosol-cloud interaction on mesoscale numerical weather prediction when low-cloud and haze coexist in winter over major polluted regions of China W. Zhang et al.
9. Subgrid-scale aerosol–cloud interaction in the atmospheric chemistry model CMA_Meso5.1/CUACE and its impacts on mesoscale meteorology prediction W. Zhang et al.
10. A gradient boosting-based machine learning framework for improving atmospheric visibility numerical prediction C. Han et al.
11. Effect of cloud chemistry on seasonal variations of sulfate and its precursors in China J. Lu et al.
12. The atmospheric composition component of the ICON modeling framework: ICON-ART version 2025.10 G. Hoshyaripour et al.
13. The impact of aerosol-ice nuclei-cloud interactions on a typical spring dust-precipitation event in China J. Zhang et al.