C. Bettenhausen

Goddard Space Flight Center

Papers

11

Total Citations

3,487

H-Index

10

About

C. Bettenhausen is a prominent atmospheric scientist whose research has fundamentally advanced satellite-based aerosol remote sensing, contributing critical tools for monitoring air quality and understanding climate systems. Working primarily with NASA's satellite instrument suites, Bettenhausen has made landmark contributions to the development and validation of aerosol optical depth retrieval algorithms, particularly the "Deep Blue" methodology designed to measure aerosol properties over challenging bright-reflecting surfaces such as deserts and urban landscapes. Among Bettenhausen's most influential achievements is co-developing the Enhanced Deep Blue algorithm for MODIS, a second-generation retrieval system that has become a cornerstone of global aerosol monitoring, accumulating over 1,200 citations. This work was extended through rigorous validation studies and comparisons between competing retrieval approaches, guiding researchers worldwide in best practices for MODIS aerosol data usage. Bettenhausen also played a vital role in transitioning these long-term aerosol data records from the Earth Observing System era into the VIIRS instrument suite aboard the Joint Polar Satellite System, ensuring continuity for climate research. Additional contributions span SeaWiFS ocean and land aerosol retrievals, nonspherical dust optical modeling, and innovative multi-sensor aerosol height estimation techniques. With cumulative citations exceeding 3,400, Bettenhausen's work represents an enduring foundation for satellite-based atmospheric science.

Research Focus

Key Achievements

10
H-Index
11
Papers
3,487
Total Citations
317
Avg Citations/Paper
🏆 Most Cited Paper
Enhanced Deep Blue aerosol retrieval algorithm: The second generation
1,202 citations · 2013
📈 Most Prolific Year: 2013 (3 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Goddard Space Flight Center

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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