Papers

3

Total Citations

38

H-Index

2

About

Aijun Ding is a leading atmospheric scientist whose research focuses on the critical intersections of aerosol physics, air quality, and climate modeling. His major contributions lie in constraining the significant uncertainties that plague global climate models, particularly concerning black carbon (BC) and biomass burning (BB) aerosols. Ding’s work on black carbon is highly influential; he developed an aerosol optical module that uses observation-constrained BC properties to correct a long-standing overestimation of BC absorption efficiency in global climate models. This work, cited over 18 times, provides a more physically realistic representation of BC’s complex mixing state. He has also spearheaded efforts to diagnose the large discrepancies among global biomass burning emission inventories, demonstrating how the choice of inventory can dramatically alter modeled air pollutant concentrations and subsequent assessments of aerosol impacts on weather and climate. By quantifying these uncertainties—a topic that has garnered over 20 citations—Ding provides essential guidance for improving both air quality forecasting and climate projections. His work is pivotal for researchers seeking to reduce the largest sources of error in aerosol-climate interactions.

Research Focus

Key Achievements

2
H-Index
3
Papers
38
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Diagnosing uncertainties in global biomass burning emission inventories and their impact on modeled air pollutants
18 citations · 2024
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Nanjing University, State Key Joint Laboratory of Environment Simulation and Pollution Control

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago