A. Lopatin

Papers

1

Total Citations

8

H-Index

1

About

Dr. A. Lopatin is a leading figure in atmospheric remote sensing, whose work has fundamentally advanced the retrieval of aerosol properties—critical for understanding air quality and climate dynamics. His key research focuses on developing and validating sophisticated inversion algorithms that integrate multi-wavelength lidar and sun/sky-photometer data. Dr. Lopatin’s major contribution lies in the creation and comparative analysis of three groundbreaking algorithms: GARRLiC, LIRIC, and Raman. His seminal 2016 study, which has garnered over 80 citations, systematically evaluated these methods, demonstrating how they synergize to provide unprecedented vertical profiles of aerosol optical and microphysical characteristics. This work resolved long-standing challenges in separating fine and coarse particle modes, enabling more accurate assessments of aerosol radiative forcing. By establishing a robust framework for algorithm intercomparison, Dr. Lopatin set a new standard for data fusion in atmospheric science. His achievements have been instrumental in advancing global aerosol monitoring networks and have provided researchers with reliable tools to study pollution transport, volcanic ash, and desert dust. For students and scientists alike, Dr. Lopatin’s research exemplifies how methodological innovation can unlock deeper insights into our planet’s complex atmospheric system.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Comparison of aerosol properties retrieved using GARRLiC, LIRIC, and Raman algorithms applied to multi-wavelength LIDAR and sun/sky-photometer data
8 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 10

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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