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

Key Achievements

3
H-Index
4
Papers
188
Total Citations
47
Avg Citations/Paper
🏆 Most Cited Paper
Mesoscale modeling study of the interactions between aerosols and PBL meteorology during a haze episode in Jing–Jin–Ji (China) and its nearby surrounding region – Part 1: Aerosol distributions and meteorological features
117 citations · 2015
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Chinese Academy of Sciences, Nanjing University of Information Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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