Papers
4
Total Citations
188
H-Index
3
About
Sai-Chun Tan is a leading atmospheric scientist whose research focuses on the interactions between aerosols and planetary boundary layer (PBL) meteorology, with a particular emphasis on haze formation and aerosol radiative effects over East Asia. Tan’s most influential work, a mesoscale modeling study of the Jing-Jin-Ji region (117 citations), reveals how aerosol pollution and meteorological conditions feed back on each other to intensify haze episodes in one of China’s most polluted areas. This research provides critical insights into the mechanisms driving severe air quality degradation in urbanized regions. Tan has also advanced the understanding of marine aerosols’ direct radiative effects over East Asia (35 citations) and improved dust aerosol estimation by inter-comparing satellite retrievals from MODIS, MISR, and AERONET over Asian deserts (34 citations). These contributions are vital for refining climate models and air quality forecasts. By combining high-resolution modeling with multi-sensor satellite data, Tan’s work bridges gaps in aerosol-meteorology feedbacks, offering practical implications for pollution mitigation strategies. Their research is widely cited by peers studying aerosol-cloud interactions and regional climate change, underscoring its impact on both fundamental science and environmental policy.
Research Focus
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Top Papers
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