Papers
1
Total Citations
32
H-Index
1
About
Zhaokang Tang is a prominent researcher in atmospheric remote sensing and air quality modeling, with a focus on integrating satellite-derived aerosol data into numerical forecasts. His work centers on improving the accuracy of air quality predictions, particularly for high-impact events like sand and dust storms. Tang’s most cited study, “Assessing the impact of Chinese FY-3/MERSI AOD data assimilation on air quality forecasts: Sand dust events in northeast China” (2019, 32 citations), demonstrates his pioneering use of China’s Fengyun-3 satellite and its Medium Resolution Spectral Imager (MERSI) to assimilate aerosol optical depth (AOD) data. This research significantly enhanced the simulation of severe dust episodes, offering a critical tool for early warning systems and public health protection. By bridging satellite observations and atmospheric models, Tang has advanced the operational capability of air quality forecasting in East Asia. His contributions are vital for understanding aerosol transport and mitigating the impacts of natural and anthropogenic pollution, marking him as a key figure in environmental remote sensing and applied meteorology.
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