Alexander Marshak
Papers
12
Total Citations
498
H-Index
8
About
Alexander Marshak is a leading figure in atmospheric remote sensing, whose work has fundamentally advanced our understanding of clouds, aerosols, and their interactions with climate. His research focuses on developing innovative retrieval algorithms for cloud optical depth, aerosol layer height, and cloud thermodynamic phase using both satellite and ground-based observations. A standout contribution is his pioneering algorithm for inferring aerosol layer height and optical depth from the EPIC instrument aboard the DSCOVR satellite at the L-1 Lagrange point, a method that has garnered over 120 citations and opened new avenues for global aerosol monitoring. Marshak also revolutionized ground-based cloud observations by introducing the “RED versus NIR” plane technique for retrieving broken-cloud optical depth, and by developing cloud-mode retrievals for the AERONET network, dramatically increasing the availability and accuracy of cloud optical depth data. His work on snow bidirectional reflectance during the ARCTAS campaign has been critical for understanding Arctic climate processes. With numerous highly cited papers and a sustained record of methodological innovation, Marshak’s research provides essential tools for climate modeling and satellite validation, making him a key contributor to modern atmospheric science.
Research Focus
Key Achievements
Top Papers
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- 3Analysis of snow bidirectional reflectance from ARCTAS Spring-2008 Campaign68 citations · 2010
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