Papers

3

Total Citations

110

H-Index

3

About

Dr. Xindan Zhang is a leading atmospheric scientist whose research focuses on the characterization of aerosol chemical composition and optical properties using advanced remote sensing techniques. Her most significant contributions center on the development and application of the GRASP/Component algorithm, which enables the retrieval of aerosol component concentrations—such as black carbon, brown carbon, and mineral dust—from satellite and ground-based observations. Her 2022 study on POLDER-3 satellite data (41 citations) established the first global climatology of aerosol components, while her 2021 work on long-term AERONET measurements (37 citations) demonstrated the algorithm’s robustness across diverse environments. Most recently, her 2024 paper (32 citations) introduced a new global aerosol component dataset, providing a critical resource for climate modeling and air quality research. Collectively, her work has been cited over 110 times, reflecting its growing impact on aerosol science. By bridging satellite and ground-based observations, Dr. Zhang’s research directly addresses the largest uncertainty in climate change assessments: the radiative forcing of aerosols. Her datasets and methodologies are now essential tools for researchers studying aerosol-climate interactions and atmospheric composition.

Research Focus

Key Achievements

3
H-Index
3
Papers
110
Total Citations
37
Avg Citations/Paper
🏆 Most Cited Paper
Climatology of aerosol component concentrations derived from multi-angular polarimetric POLDER-3 observations using GRASP algorithm
41 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 34
🏛 Institutions: Chinese Academy of Meteorological Sciences, Fudan University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago