Papers
9
Total Citations
199
H-Index
8
About
Shenshen Li is a leading figure in satellite remote sensing of aerosols, with a career dedicated to unraveling the complexities of atmospheric particle pollution, particularly in China. Her research focuses on developing and validating advanced retrieval algorithms to measure aerosol optical depth (AOD), size distribution, and absorbing properties from spaceborne sensors like MODIS, MISR, and Himawari-8. A key contribution is her pioneering work on retrieving haze optical thickness over the North China Plain, a region where standard NASA products often fail due to heavy pollution. Her 2012 paper on this topic (50 citations) has become a foundational reference for studying severe haze events. Li’s impact is further demonstrated through rigorous model evaluation, including a highly cited 2013 study (40 citations) comparing GEOS-Chem simulations with AERONET and MISR data over the United States. She has also advanced the understanding of aerosol components in China through inter-comparisons of model and satellite data (38 citations). Her work on improving MISR’s single-scattering albedo and Angstrom exponent products is critical for mapping particle properties relevant to climate and health. With over 200 total citations, Li’s research provides essential tools for monitoring air quality and assessing aerosol radiative forcing.
Research Focus
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Top Papers
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