Zheng, JianyuZhang, ZhiboDesouza-Machado, SergioRyder, Claire LGarnier, AnneBiagio, Claudia DiYang, PingWelton, Ellsworth JYu, HongbinBarreto, AfricaGonzalez, Margarita Y2024-01-222024-01-222023-12-26https://doi.org/10.22541/essoar.170355039.95598312/v1http://hdl.handle.net/11603/31372Super-coarse dust particles (diameters > 10 µm) are evidenced to be more abundant in the atmosphere than model estimates and contribute significantly to the dust climate impacts. Since super-coarse dust accounts for less dust extinction in the visible-to-near-infrared (VIS-NIR) than in the thermal infrared (TIR) spectral regime, they are suspected to be underestimated by remote sensing instruments operates only in VIS-NIR, including Aerosol Robotic Networks (AERONET), a widely used dataset for dust model validation. In this study, we perform a radiative closure assessment using the AERONET-retrieved size distribution in comparison with the collocated Atmospheric Infrared Sounder (AIRS) TIR observations with comprehensive uncertainty analysis. The consistently warm bias in the comparisons suggests a potential underestimation of supercoarse dust in the AERONET retrievals due to the limited VIS-NIR sensitivity. An extra super coarse mode included in the AERONET-retrieved size distribution helps improve the TIR closure without deteriorating the retrieval accuracy in the VIS-NIR.25 pagesen-USThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.Text