Papers
5
Total Citations
38
H-Index
3
About
Dr. Yizhe Fan is a leading atmospheric scientist whose research focuses on advancing aerosol remote sensing through innovative retrieval algorithms. Her work centers on characterizing aerosol properties—including fine-mode fraction, optical depth, and regional aerosol models—using ground-based and satellite observations. Dr. Fan’s major contributions include developing optimal estimation (OE) theory-based inversion algorithms that significantly improve the accuracy of aerosol retrievals without requiring prior surface knowledge. She pioneered the use of single-viewing multi-spectral radiance measurements to retrieve aerosol fine-mode fraction, a critical parameter for understanding anthropogenic versus natural aerosol impacts. Her research has been instrumental in validating and enhancing aerosol products from Chinese satellite missions, including GaoFen-5B, FY-3D/MERSI, and FY-3F/MERSI-III. With over 38 citations across her most-cited works, Dr. Fan’s studies on China’s primary aerosol models using AERONET data provide foundational knowledge for radiative transfer calculations and climate modeling. Her recent work on parameterizing surface reflectance models using urban percentage and vegetation index represents a novel approach to improving aerosol retrieval over complex land surfaces. Dr. Fan’s contributions are vital for advancing satellite-based aerosol monitoring and understanding regional air quality dynamics.
Research Focus
Key Achievements
Top Papers
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