Papers
2
Total Citations
24
H-Index
2
About
Fengxun Zheng is a leading researcher in atmospheric aerosol remote sensing, with a focus on advancing retrieval techniques using optimal estimation theory. His work bridges satellite and ground-based observations to improve the characterization of aerosol properties, which is critical for understanding climate forcing and air quality. Zheng’s major contributions include the development of a novel inversion framework for retrieving aerosol optical depth (AOD) and volume concentration from multiangle polarimetric satellite data, as demonstrated in his 2020 study (13 citations). He also pioneered the retrieval of aerosol fine-mode fraction (FMF) from ground-based sky light measurements using optimal estimation, a method that enhances the ability to distinguish anthropogenic from natural aerosols (2019, 11 citations). These achievements have provided more accurate and physically constrained aerosol products, supporting climate models and environmental monitoring. Zheng’s work is notable for its rigorous application of optimal estimation theory, setting a benchmark for inversion algorithms in aerosol science. His research continues to influence the field, with his papers serving as key references for both satellite and ground-based aerosol retrieval studies.
Research Focus
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Top Papers
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