Papers

4

Total Citations

403

H-Index

4

About

Jason L. Tackett is an atmospheric scientist whose research centers on remote sensing of aerosols — tiny particles suspended in the atmosphere that profoundly influence climate, air quality, and human health. His work focuses primarily on satellite-based aerosol detection and retrieval algorithms, with particular expertise in lidar and radiometric instruments aboard NASA's Earth-observing platforms. Tackett's most influential contribution, cited nearly 200 times, critically examined the agreement between aerosol optical depth (AOD) measurements from CALIPSO's CALIOP lidar instrument and ground-based AERONET networks, revealing fundamental limitations in one-size-fits-all comparison approaches. This work reshaped how the community interprets satellite-ground validation studies. He has also made significant methodological advances in understanding CALIOP's detection sensitivity thresholds and the downstream consequences of retrieval gaps in Level 2 data products — work that has accumulated over 100 citations and directly informs how scientists use CALIPSO datasets. Additionally, his validation of the SOAR VIIRS over-water aerosol retrieval algorithm (81 citations) has strengthened confidence in next-generation satellite aerosol records. Collectively, Tackett's research has helped establish rigorous standards for aerosol remote sensing validation, making him a valued contributor to the global effort to monitor Earth's atmosphere from space.

Research Focus

Key Achievements

4
H-Index
4
Papers
403
Total Citations
101
Avg Citations/Paper
🏆 Most Cited Paper
CALIOP and AERONET aerosol optical depth comparisons: One size fits none
197 citations · 2013
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: Langley Research Center, Science Systems and Applications (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago