Longlong Wang

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About

Longlong Wang is a leading researcher in aerosol–cloud interactions, with a focus on the role of mineral dust in atmospheric processes. Their most-cited work introduces the POLIPHON conversion factors, a critical methodological framework for retrieving vertical profiles of dust-related cloud condensation nuclei (CCN) and ice-nucleating particles (INPs) at oceanic sites. This contribution directly addresses one of the largest uncertainties in the global radiation budget—how dust aerosols influence cloud formation and climate. By enabling more accurate 3-D characterization of dust CCN and INP distributions, Wang’s research provides essential tools for improving global circulation models and reducing uncertainties in climate projections. With their 2023 paper already garnering 14 citations, Wang’s work is gaining rapid recognition for its practical impact on atmospheric science. Their achievements demonstrate a commitment to bridging observational data and climate modeling, offering a pathway to better understand aerosol–cloud interactions in remote marine environments. For students and researchers, Wang’s contributions highlight the importance of innovative retrieval techniques in advancing climate science.