Papers
8
Total Citations
720
H-Index
7
About
Yingxi Shi is a leading atmospheric scientist whose work focuses on satellite aerosol remote sensing, data assimilation, and the characterization of global aerosol systems. Her most significant contribution is the development of an 11-year global gridded aerosol optical thickness reanalysis (v1.0), a landmark product that fuses satellite and model data to provide a consistent, regular-grid dataset for atmospheric and climate sciences—cited over 237 times. Shi has been instrumental in advancing the Dark Target algorithm for MODIS observations, co-authoring a comprehensive review of its past, present, and future applications (120 citations). Her research critically examines spatial biases between MODIS and MISR aerosol products, guiding AERONET deployment strategies (105 citations). She has also led investigations into enhanced aerosol optical depth over the Southern Oceans and characterized extreme biomass burning events, notably the 2015 Indonesian fire episode, where she modified MODIS retrievals to capture severe aerosol loading that standard algorithms missed. With over 700 total citations across her most-cited works, Shi’s contributions are essential for improving satellite aerosol monitoring, air quality assessment, and climate modeling.
Research Focus
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