Articles | Volume 24, issue 8
https://doi.org/10.5194/acp-24-4651-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-24-4651-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Apr 2024
Research article |
| 18 Apr 2024
| 18 Apr 2024
Opposite effects of aerosols and meteorological parameters on warm clouds in two contrasting regions over eastern China
Yuqin Liu
Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
Fujian Key Laboratory of Digital Technology for Territorial Space Analysis and Simulation, Fuzhou 350108, China
Xiamen Key Laboratory of Smart Management on the Urban Environment, Xiamen 361021, China
Tao Lin
CORRESPONDING AUTHOR
Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
Fujian Key Laboratory of Digital Technology for Territorial Space Analysis and Simulation, Fuzhou 350108, China
Xiamen Key Laboratory of Smart Management on the Urban Environment, Xiamen 361021, China
Jiahua Zhang
Key Laboratory of Digital Earth Sciences, The Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
CMA Earth System Modeling and Prediction Centre (CEMC), Beijing 100081, China
Yiyi Huang
Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
Xian Wu
Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
Xiamen Key Laboratory of Smart Management on the Urban Environment, Xiamen 361021, China
Hong Ye
Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
Guoqin Zhang
Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
Xin Cao
Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
Fujian Key Laboratory of Digital Technology for Territorial Space Analysis and Simulation, Fuzhou 350108, China
Xiamen Key Laboratory of Smart Management on the Urban Environment, Xiamen 361021, China
R&D Satellite Observations, Royal Netherlands Meteorological Institute (KNMI), 3730AE De Bilt, the Netherlands
Aerospace Information Research Institute, Chinese Academy of Sciences (AirCAS), No. 9 Dengzhuang South Road, Haidian District, Beijing 100094, China
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- Contrasting effects of land and marine aerosols on warm clouds in South China based on satellite observations S. Yang et al. https://doi.org/10.1016/j.atmosres.2025.108491
- Unveiling the paradox of reduced surface solar radiation in February 2020 during COVID-19 lockdown: aerosol-cloud-dynamics interactions in Beijing X. Zhang et al. https://doi.org/10.1088/1748-9326/ae3b54
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14 citations as recorded by crossref.
- Analysis of the cloud fraction adjustment to aerosols and its dependence on meteorological controls using explainable machine learning Y. Jia et al. https://doi.org/10.5194/acp-24-13025-2024
- Spatiotemporal Characteristics and Driving Factors of Multi-Band Solar Radiation in Shandong Province, China: Evidence from High-Resolution CARE Satellite Products S. Sun et al. https://doi.org/10.3390/atmos17070691
- Contrasting effects of land and marine aerosols on warm clouds in South China based on satellite observations S. Yang et al. https://doi.org/10.1016/j.atmosres.2025.108491
- Unveiling the paradox of reduced surface solar radiation in February 2020 during COVID-19 lockdown: aerosol-cloud-dynamics interactions in Beijing X. Zhang et al. https://doi.org/10.1088/1748-9326/ae3b54
- Influence of atmospheric pollution on precipitation microphysics: Insights from GPM DPR analysis of clean vs. polluted events B. Seela et al. https://doi.org/10.1016/j.uclim.2026.102778
- Diverse aerosol effects revealed during wildfire and dust storm events in Ukraine in April 2020 M. Savenets et al. https://doi.org/10.1016/j.apr.2026.102906
- Aerosol–Cloud Interactions over the Indian Subcontinent Using an Information-Theoretic Approach S. Budakoti et al. https://doi.org/10.34133/olar.0116
- Signatures of aerosol-cloud interactions in GiOcean: a coupled global reanalysis with two-moment cloud microphysics C. Song et al. https://doi.org/10.5194/acp-25-15567-2025
- Spatial-scale dependence of aerosol indirect effects over land in eastern China: a comparative analysis Y. Liu et al. https://doi.org/10.5194/acp-26-6351-2026
- Impacts of Aerosol Concentration Changes on Cloud Microphysics and Convective Intensity of the Southwest Vortex: Insights from MODIS Observations and Numerical Simulations Y. Wang et al. https://doi.org/10.3390/atmos17030259
- How meteorological conditions influence aerosol-cloud interactions under different pollution regimes J. Zhao et al. https://doi.org/10.5194/acp-25-17701-2025
- Spatiotemporal pattern and trade-off relationship of ecosystem services: A case study of cities along the main stream of the Yellow River in Henan Province H. Wei et al. https://doi.org/10.1016/j.crsust.2026.100360
- Bias correction of MODIS retrieved Aerosol Optical Depth using Machine Learning and Deep Learning Techniques M. Anitha & L. Kumar https://doi.org/10.1080/01431161.2025.2571235
- Contrasting aerosol mixing states at inland and coastal sites: an entropy-based metric for CCN activity J. Ren et al. https://doi.org/10.5194/acp-26-2985-2026
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Short summary
A new method, the geographical detector method (GDM), has been applied to satellite data, in addition to commonly used statistical methods, to study the sensitivity of cloud properties to aerosol over China. Different constraints for aerosol and cloud liquid water path apply over polluted and clean areas. The GDM shows that cloud parameters are more sensitive to combinations of parameters than to individual parameters, but confounding effects due to co-variation of parameters cannot be excluded.
A new method, the geographical detector method (GDM), has been applied to satellite data, in...
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