Yanfei Liang
Papers
2
Total Citations
35
H-Index
2
About
Yanfei Liang is a leading researcher in atmospheric chemistry and aerosol data assimilation, with a focus on improving air quality modeling through advanced computational methods. Her major contributions center on the development of a three-dimensional variational (3DVAR) data assimilation system for aerosol optical properties, integrated with the WRF-Chem model and the MOSAIC aerosol scheme. This system, detailed in her most-cited 2022 paper (28 citations), enables the assimilation of satellite-based aerosol optical thickness (AOT) retrievals from Himawari-8 and lidar-based aerosol profiles, significantly enhancing the accuracy of aerosol simulations. Her earlier 2021 work (7 citations) laid the foundation for this framework, demonstrating its potential to refine aerosol optical depth (AOD) predictions. Liang’s research bridges satellite observations and numerical modeling, offering critical tools for studying aerosol transport, radiative forcing, and air quality forecasting. Her work is highly influential in the atmospheric science community, supporting applications in climate research and environmental policy. By advancing data assimilation techniques, Liang has enabled more reliable assessments of aerosol impacts on weather and climate, marking her as a key innovator in the field.
Research Focus
Key Achievements
Top Papers
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