Hong Wang

Chinese Academy of Meteorological Sciences

Papers

5

Total Citations

255

H-Index

4

About

Hong Wang is an atmospheric scientist whose research centers on remote sensing of atmospheric composition, with particular expertise in aerosol characterization, precipitable water vapor retrieval, and cloud optical properties over China. His most influential contribution—garnering 148 citations—evaluated the accuracy of multiple precipitable water vapor datasets, including radiosonde, MODIS, and AERONET measurements, against GPS-based ground truth, providing critical validation guidance for the remote sensing community. Building on this foundation, Wang has made substantial contributions to aerosol science, most notably through his long-term validation of MODIS Dark Target aerosol products using China's CARSNET and AERONET networks, a study that has accumulated 73 citations and significantly informed satellite data quality assessments across East Asia. His spatial-temporal analysis of cloud optical depth across China from 2003 to 2016 further demonstrates his command of multi-year satellite climatology. More recently, Wang has turned toward understanding aerosol composition trends using CAMS reanalysis data, and his comparative work between SKYNET and AERONET retrieval networks highlights his commitment to measurement accuracy and instrument cross-validation. Collectively, his work underpins reliable atmospheric monitoring across one of the world's most aerosol-intensive regions.

Research Focus

Key Achievements

4
H-Index
5
Papers
255
Total Citations
51
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: 33
🏛 Institutions: Chinese Academy of Meteorological Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago