Impacts of Aerosol Optical Depth on Different Types of Cloud Macrophysical and Microphysical Properties over East Asia
Aerosol–cloud interaction remains one of the largest sources of uncertainty in weather and climate modeling. This study investigates the impacts of aerosols on the macro- and microphysical properties of different cloud types over East Asia, based on nine years of joint satellite observations from CloudSat, CALIPSO, and MODIS, combined with ERA5 reanalysis data. Results reveal pronounced cloud-type dependence in aerosol effects on cloud fraction, cloud top height, and cloud thickness. Aerosols enhance the development of convective clouds while suppressing the vertical extent of stable stratiform clouds. For ice-phase structures, ice cloud fraction and ice water path significantly increase with aerosol optical depth (AOD) in deep convective and high-level clouds, whereas mid- to low-level clouds exhibit reduced ice crystal effective radius and ice water content, indicating an “ice crystal suppression effect.” Even after controlling for 14 meteorological variables, partial correlations between AOD and cloud properties remain significant, suggesting a degree of aerosol influence independent of meteorological conditions. Humidity and wind speed at different altitudes are identified as key modulating factors. These findings highlight the importance of accounting for cloud-type differences, moisture conditions, and dynamic processes when assessing aerosol–cloud–climate interactions and provide observational insights to improve the parameterization of aerosol indirect effects in climate models.
Authors
- Xinlei Han (ORCID: https://orcid.org/0009-0009-4239-278X)
- Disong Fu (ORCID: https://orcid.org/0000-0003-1599-7192)
- Hongrong Shi (ORCID: https://orcid.org/0000-0002-5650-0077)
- Qixiang Chen (ORCID: https://orcid.org/0000-0002-7646-6216)
- Zijue Song
Institutions
- National University of Defense Technology (CN)
- Chinese Academy of Sciences (CN)
- National Institute of Hospital Administration (CN)
- Beijing Meteorological Bureau (CN)
- Institute of Atmospheric Physics (CN)
Publication Details
- Journal
- Remote Sensing
- Published
- 2025-10-25
- DOI
- https://doi.org/10.3390/rs17213535
- Primary Topic
- Atmospheric aerosols and clouds
- Type
- article
- Field-Weighted Citation Impact
- 0.00