John P. Burrows
Papers
11
Total Citations
500
H-Index
9
About
John P. Burrows is a leading figure in satellite-based aerosol remote sensing, with a career dedicated to understanding how atmospheric particles influence climate and air quality. His research focuses on retrieving aerosol optical properties—particularly aerosol optical thickness (AOT) and the Ångström exponent—from spaceborne sensors, with a special emphasis on challenging environments like snow-covered Arctic regions and complex land surfaces. Burrows developed the Bremen AErosol Retrieval (BAER) algorithm, a foundational tool for extracting aerosol information from ocean color sensors such as MERIS and SeaWiFS, enabling long-term trend analyses of anthropogenic aerosol loading over Europe and South China. His work has been highly influential, with his most-cited paper on global AERONET trend analysis accumulating over 109 citations, and his retrieval methods collectively cited hundreds of times. Notably, he pioneered techniques for passive remote sensing of aerosols over bright snow/ice using infrared observations from AATSR, addressing a critical gap in Arctic climate monitoring. Burrows’ contributions have advanced our understanding of aerosol radiative forcing and provided essential data for climate models and environmental policy.
Research Focus
Key Achievements
Top Papers
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- 6Remote sensing of aerosols over snow using infrared AATSR observations43 citations · 2011
- 7Aerosol optical depth retrieval over snow using AATSR data27 citations · 2013
- 8Remote sensing of aerosols over snow using infrared AATSR observations17 citations · 2011
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