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About

Jared W. Marquis is an atmospheric scientist whose research focuses on the intersection of aerosol remote sensing and numerical weather prediction. His most impactful work addresses critical challenges in satellite-based aerosol detection, particularly with the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. In his highly cited 2018 paper (108 citations), Marquis systematically quantified minimum aerosol layer detection sensitivities in CALIPSO data products, demonstrating how instrument limitations and algorithm thresholds generate retrieval fill values that systematically bias aerosol optical thickness retrievals. This work has become essential reading for researchers using spaceborne lidar data for climate and air quality studies. Marquis has also advanced the understanding of how dust-contaminated infrared radiances affect data assimilation in numerical weather prediction systems, showing that failing to account for dust aerosol leads to degraded forecast skill when assimilating hyperspectral infrared sounder data. His research bridges the gap between aerosol remote sensing and operational weather forecasting, providing practical frameworks for improving both satellite retrievals and their downstream applications. Marquis’s work continues to inform how the atmospheric science community interprets satellite aerosol products and assimilates them into weather models.