Bingcheng Wan

Papers

Total Citations

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About

Bingcheng Wan is a leading researcher in atmospheric science, specializing in aerosol-cloud interactions and remote sensing. His work focuses on retrieving vertical profiles of cloud condensation nuclei (CCN) from lidar data, a critical advancement for understanding aerosol indirect effects on climate. His most cited paper, “Retrieval of Cloud Condensation Nuclei Number Concentration Profiles From Lidar Extinction and Backscatter Data” (2018), with 52 citations, introduces a novel method to derive CCN concentrations from ground-based and airborne lidar measurements—addressing the scarcity of such data. This contribution has significant implications for improving climate models and predicting cloud formation. Wan’s research bridges gaps between observational constraints and atmospheric modeling, offering tools to quantify how aerosols influence cloud microphysics. His work is notable for its practical application in remote sensing, enabling more accurate assessments of aerosol radiative forcing. For students and researchers, Wan’s studies provide a foundation for exploring aerosol-cloud dynamics and advancing lidar-based atmospheric monitoring, making his contributions essential for those studying climate change and atmospheric processes.