Papers

2

Total Citations

57

H-Index

2

About

Dr. Weiyao Tang is a leading researcher in atmospheric aerosol dynamics and air quality forecasting, with a particular focus on the integration of satellite remote sensing data into numerical models. Their work has been pivotal in advancing the understanding and prediction of dust storm events, especially in East and South Asia. In their highly cited 2019 study, Dr. Tang demonstrated how assimilating aerosol optical depth (AOD) data from China’s FY-3/MERSI sensor significantly improved the accuracy of air quality forecasts for sand dust events in northeast China, a breakthrough for operational early warning systems. Earlier, their 2018 evaluation of MODIS and MISR AOD retrievals over environmentally distinct sites in Pakistan provided critical validation for satellite products in complex terrains, informing data usage in regions with sparse ground monitoring. With over 57 cumulative citations from these two landmark works alone, Dr. Tang’s contributions are essential for bridging satellite observations and atmospheric modeling, directly supporting public health and environmental management in dust-prone regions. Their research continues to shape next-generation aerosol data assimilation techniques.

Research Focus

Key Achievements

2
H-Index
2
Papers
57
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Assessing the impact of Chinese FY-3/MERSI AOD data assimilation on air quality forecasts: Sand dust events in northeast China
32 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Nanjing University of Information Science and Technology, China Meteorological Administration

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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