Irina Rogozovsky
Papers
2
Total Citations
67
H-Index
2
About
Irina Rogozovsky is an atmospheric scientist whose research focuses on the complex interactions between aerosols, clouds, and satellite remote sensing. Her work centers on improving the accuracy of high-resolution aerosol optical depth (AOD) measurements, particularly from the MAIAC (Multi-Angle Implementation of Atmospheric Correction) algorithm. Rogozovsky’s major contributions include pioneering studies on how aerosol layering, complex mixing, and cloud coverage introduce biases in satellite-derived AOD data. Her 2021 paper, which fuses lidar, AERONET, satellite, and ground-based measurements, has garnered 49 citations and is foundational for understanding retrieval errors under heterogeneous atmospheric conditions. She further advanced this field with a 2023 study (18 citations) that systematically quantifies uncertainty from different aerosol layering scenarios. By bridging observational gaps between surface networks and spaceborne sensors, Rogozovsky’s work directly supports climate modeling, air quality monitoring, and health impact assessments. Her research is particularly notable for integrating multi-platform data to validate and refine satellite algorithms, making her a key figure in improving the reliability of global aerosol datasets used by the scientific community.
Research Focus
Key Achievements
Top Papers
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