About

Yaqiang Wang is a leading atmospheric scientist whose research focuses on satellite and ground-based remote sensing of aerosols and water vapor, with a particular emphasis on China and global-scale validation. His most influential work, with 148 citations, evaluates precipitable water vapor from radiosondes, MODIS, and AERONET against GPS measurements over China, establishing critical benchmarks for water vapor retrieval accuracy. Wang’s major contributions include the long-term validation of MODIS Dark Target aerosol products using CARSNET and AERONET data (73 citations), demonstrating his commitment to improving satellite aerosol optical depth (AOD) products. His global-scale analysis of the MISR Level-3 AOD product (58 citations) provides essential cross-platform comparisons, while his application of the GRASP/Component approach to AERONET measurements (37 citations) advances the characterization of aerosol optical properties and chemical composition. Wang’s work is foundational for understanding aerosol-climate interactions and air quality monitoring, with his validation studies directly supporting the reliability of satellite-derived atmospheric data used by researchers worldwide.

Research Focus

Key Achievements

4
H-Index
5
Papers
318
Total Citations
64
Avg Citations/Paper
🏆 Most Cited Paper
Evaluation of radiosonde, MODIS-NIR-Clear, and AERONET precipitable water vapor using IGS ground-based GPS measurements over China
148 citations · 2017
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 32
🏛 Institutions: Chinese Academy of Meteorological Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago