Zengliang Zang

National University of Defense Technology

Papers

2

Total Citations

35

H-Index

2

About

Zengliang Zang is a leading figure in atmospheric chemistry and aerosol data assimilation, whose work has significantly advanced the predictive capability of air quality models. His primary research focuses on the development and application of three-dimensional variational (3DVAR) data assimilation systems for aerosol optical properties. Zang’s most notable contribution is the design, development, and implementation of a novel 3DVAR system within the WRF-Chem model, which integrates satellite-based aerosol optical depth (AOD) retrievals and lidar-based aerosol profiles. This system, detailed in his highly cited 2022 paper (28 citations), enables the effective assimilation of high-resolution observations from geostationary satellites like Himawari-8, dramatically improving the accuracy of aerosol forecasts. His work bridges the gap between satellite remote sensing and numerical modeling, providing a critical tool for studying aerosol transport and air quality dynamics. With a growing citation record that underscores the impact of his innovations, Zang is recognized for pioneering operational frameworks that enhance our understanding of aerosol interactions and chemistry, making him a key contributor to modern environmental monitoring and prediction.

Research Focus

Key Achievements

2
H-Index
2
Papers
35
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
A three-dimensional variational data assimilation system for aerosol optical properties based on WRF-Chem v4.0: design, development, and application of assimilating Himawari-8 aerosol observations
28 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: National University of Defense Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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