Mikhail Korenskiy
Papers
2
Total Citations
68
H-Index
2
About
Mikhail Korenskiy is a leading figure in atmospheric remote sensing, specializing in the retrieval and characterization of aerosol properties. His research focuses on advancing lidar and sun/sky-photometer data analysis to better understand the complex role of aerosols in air quality and climate. Korenskiy’s most significant contribution is his work on comparing and validating advanced retrieval algorithms, particularly through his highly cited 2016 study (60 citations) that evaluates the performance of GARRLiC, LIRIC, and Raman methods applied to multi-wavelength lidar and photometer data. This work provides a critical benchmark for accurately measuring aerosol vertical profiles and optical properties, directly improving the precision of remote sensing technologies. By systematically assessing these algorithms, Korenskiy has helped establish best practices for aerosol monitoring, enabling more reliable assessments of their environmental and climatic impacts. His research is essential for scientists and students working on atmospheric chemistry, climate modeling, and air quality management, offering a rigorous foundation for interpreting complex remote sensing datasets.
Research Focus
Key Achievements
Top Papers
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