Yen-Huei Lee
Papers
1
Total Citations
288
H-Index
1
About
Dr. Yen-Huei Lee is a leading figure in atmospheric science, whose work has fundamentally advanced the assimilation of satellite aerosol data into numerical weather prediction models. Her research centers on aerosol data assimilation, air quality modeling, and the transport of dust and pollutants across East Asia. Dr. Lee’s most impactful contribution is the development and implementation of a three-dimensional variational (3D-Var) assimilation system for MODIS aerosol optical depth (AOD) retrievals, a landmark study with over 288 citations. This work, applied to a major dust storm over East Asia, demonstrated how satellite observations could be effectively integrated into operational models like the NCEP Gridpoint Statistical Interpolation system, dramatically improving the representation of aerosol plumes. By bridging the gap between remote sensing and modeling, her research has provided critical tools for forecasting severe dust events and understanding their climatic and health impacts. Dr. Lee’s pioneering efforts have set a standard for aerosol assimilation, profoundly influencing both operational forecasting and the broader field of atmospheric chemistry.
Research Focus
Key Achievements
Top Papers
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