Papers
11
Total Citations
616
H-Index
9
About
Pawan Gupta is a prominent atmospheric scientist whose research sits at the intersection of satellite remote sensing, aerosol characterization, and climate science. Best known for his foundational contributions to the MODIS Dark Target aerosol retrieval algorithm, Gupta has helped shape how scientists observe and quantify aerosols — tiny airborne particles with profound implications for air quality, human health, and climate forcing — on a global scale. His validation work on the MODIS 3 km aerosol optical depth product (146 citations) and his comprehensive review of the Dark Target algorithm's evolution (120 citations) stand as essential references in the field. Gupta has also advanced aerosol science in South Asia, comparing satellite and ground-based retrievals over Indian urban environments, and extended the Dark Target framework to geostationary platforms such as the Advanced Himawari Imager. More recently, his work on long-term AERONET trend analysis and multi-sensor data merging reflects a commitment to improving aerosol monitoring across both space and time. With contributions spanning algorithm development, field campaign applications, and global dataset creation, Gupta's research has become indispensable to the atmospheric science community worldwide.
Research Focus
Key Achievements
Top Papers
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- 8Long-term trends in aerosol properties derived from AERONET measurements17 citations · 2025
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