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About

Zhaoyan Liu is a leading figure in satellite and ground-based lidar remote sensing, with a career dedicated to improving the accuracy of global aerosol and cloud observations. His research centers on the critical challenge of data validation and quality assurance for atmospheric lidar measurements, bridging the gap between spaceborne and ground-based networks. Liu’s most influential work, “CALIOP and AERONET aerosol optical depth comparisons: One size fits none” (2013, 197 citations), provides a landmark assessment of the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) satellite sensor. By systematically comparing its retrievals with the Aerosol Robotic Network (AERONET), he revealed fundamental limitations in the “one-size-fits-all” approach to aerosol optical depth validation, offering crucial guidance for algorithm developers and data users. Further demonstrating his expertise in data integrity, Liu also tackled the persistent problem of cirrus cloud contamination in ground-based aerosol observations. His work on evaluating and screening subvisual cirrus (2012, 22 citations) directly improved the reliability of long-term records from networks like AERONET and the Micro-Pulse Lidar Network. Through these contributions, Liu has provided the atmospheric science community with essential tools for understanding aerosol-cloud interactions and refining satellite climate data records.