10 citations as recorded by crossref.

1. Assessing the impact of Chinese FY-3/MERSI AOD data assimilation on air quality forecasts: Sand dust events in northeast China Y. Bao et al. https://doi.org/10.1016/j.atmosenv.2019.02.026
2. Icon simulations suggest model-dependent cloud feedbacks in global storm-resolving models A. Uribe et al. https://doi.org/10.1007/s00382-026-08235-8
3. Evaluation of NU-WRF model performance on air quality simulation under various model resolutions – an investigation within the framework of MICS-Asia Phase III Z. Tao et al. https://doi.org/10.5194/acp-20-2319-2020
4. Contrasting aerosol effects on shallow and deep convections during the Mei-yu season in China L. Liu et al. https://doi.org/10.1016/j.atmosres.2024.107599
5. Study of Mesoscale Convective System and its Associated Cloud Structure over Indian Region Using Satellite Observations and Model Simulations A. Shukla et al. https://doi.org/10.1007/s12524-022-01573-0
6. Impacts of cloud microphysics parameterizations on simulated aerosol–cloud interactions for deep convective clouds over Houston Y. Zhang et al. https://doi.org/10.5194/acp-21-2363-2021
7. Assessing the Aerosols, Clouds and Their Relationship Over the Northern Bay of Bengal Using a Global Climate Model P. Sharma et al. https://doi.org/10.1029/2022EA002706
8. Toward spatially sharper precipitation prediction via global-local frequency guidance S. An et al. https://doi.org/10.1038/s41612-026-01472-y
9. Scale-aware representation of aerosol activation and cloud droplet condensation processes to improve microphysical consistency across model resolutions Q. Yang et al. https://doi.org/10.1016/j.asr.2026.02.084
10. A weather typing adaptive bias correction method for FY-4B satellite-driven solar radiation nowcasting L. Shen et al. https://doi.org/10.1016/j.solener.2026.114600