Zifa Wang

Chinese Academy of Sciences, Institute of Atmospheric Physics

Papers

Total Citations

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About

Dr. Zifa Wang is a leading atmospheric scientist whose research centers on aerosol observation, data assimilation, and vertical profiling to improve air quality and climate modeling. A major contribution is the development of an online data assimilation framework for the Eulerian atmospheric chemistry model NAQPMS, detailed in a 2022 paper (16 citations), which addresses the critical challenge of obtaining spatiotemporally continuous vertical aerosol profiles—essential for understanding planetary boundary layer stability and global climate. Dr. Wang also advanced lidar technology by creating a coupled aerosol lidar data quality assurance and control scheme using Monte Carlo analysis and bilateral filtering (2020, 17 citations), enhancing the reliability of remote sensing data. Earlier foundational work includes a 2010 study using Raman LIDAR in Beijing (11 citations), which validated aerosol optical properties against sun photometer retrievals, contributing to the NIES LIDAR network. With over 44 citations across these key works, Dr. Wang’s research directly supports improved air quality forecasting and climate science, making significant strides in integrating observational data with complex atmospheric models.