S. P. Burton

Langley Research Center

Papers

11

Total Citations

671

H-Index

10

About

S. P. Burton is a leading atmospheric scientist whose research focuses on the characterization and remote sensing of aerosols, with key contributions to the development and validation of advanced satellite and airborne retrieval techniques. Dr. Burton is best known for pioneering a multiparameter aerosol classification method that enables the differentiation of aerosol types—such as urban-industrial, biomass burning, mineral dust, and maritime—directly from spaceborne polarimetric data, a framework that has become foundational for improving the accuracy of global aerosol retrievals and understanding their climatic impacts. Their work has been highly influential, with their 2014 paper on this method accumulating over 169 citations. Dr. Burton has also been instrumental in advancing lidar and polarimeter technologies, including leading the validation of NASA Langley’s High Spectral Resolution Lidar (HSRL) during the MILAGRO campaign (122 citations) and spearheading the common retrieval algorithm used across multiple polarimeters during the ACEPOL campaign (82 citations). Notably, their research has directly supported major field experiments such as ORACLES and DISCOVER-AQ, bridging the gap between surface air quality and columnar aerosol optical depth. Through these achievements, Dr. Burton has significantly advanced our understanding of aerosol transport, vertical distribution, and radiative effects, making their work essential reading for students and researchers in atmospheric science and remote sensing.

Research Focus

Key Achievements

10
H-Index
11
Papers
671
Total Citations
61
Avg Citations/Paper
🏆 Most Cited Paper
A multiparameter aerosol classification method and its application to retrievals from spaceborne polarimetry
169 citations · 2014
📈 Most Prolific Year: 2020 (3 Papers)
🤝 Key Collaborators: 97
🏛 Institutions: Langley Research Center

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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