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About

Dr. Mayumi Yoshida is a leading figure in satellite-based aerosol remote sensing, whose work has fundamentally advanced our ability to monitor and predict atmospheric particles from space. Her research centers on developing unified retrieval algorithms and data assimilation techniques for geostationary and polar-orbiting satellites. Her most impactful contribution is the "Common Retrieval of Aerosol Properties for Imaging Satellite Sensors" (206 citations), which established a versatile algorithm for deriving aerosol optical thickness, single-scattering albedo, and Ångström exponent across multiple satellite platforms. Dr. Yoshida has been instrumental in leveraging Japan's Himawari-8 geostationary satellite, demonstrating how its high-frequency observations can be assimilated to capture rapid aerosol evolution (70 citations) and to invert dust emission fluxes during extreme events like the May 2017 East Asian dust storm (52 citations). Her comprehensive validation of Himawari-8 aerosol products against sun photometer networks (54 citations) has been critical for ensuring data quality. Extending her expertise to newer sensors, she has enhanced dust storm simulations using GCOM-C (SHIKISAI) observations (13 citations). Through her pioneering work in aerosol data assimilation and satellite calibration, Dr. Yoshida has provided the scientific community with powerful tools to understand aerosol transport, improve air quality forecasting, and assess climate impacts.