Papers

2

Total Citations

22

H-Index

2

About

Dr. Jianjun Li is a leading figure in atmospheric chemistry and aerosol remote sensing, whose work is critical for improving air quality models and climate predictions. His primary research focuses on the vertical distribution of aerosols and the development of advanced data assimilation systems. Dr. Li’s most notable contribution is the creation of the NAQPMS-PDAF v1.0, a pioneering online data assimilation framework detailed in his highly cited 2022 paper (16 citations). This system addresses a fundamental challenge by integrating observational data to provide spatiotemporally continuous vertical aerosol profiles, which are essential for understanding planetary boundary layer stability and global climate dynamics. Beyond assimilation, Dr. Li has made significant strides in calibration methodology. His 2013 paper (6 citations) introduced an innovative laboratory-based method using an integrating sphere to intercalibrate sunphotometer constants. This technique offers a practical and accurate alternative to traditional, site-dependent calibration, enhancing the reliability of global aerosol monitoring networks. Through these achievements, Dr. Li is advancing the tools and knowledge necessary for more precise atmospheric science.

Research Focus

Key Achievements

2
H-Index
2
Papers
22
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
An aerosol vertical data assimilation system (NAQPMS-PDAF v1.0): development and application
16 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: China National Environmental Monitoring Center, Anhui Institute of Optics and Fine Mechanics

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago