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About

Hiroshi Murakami has established himself as a leading figure in satellite remote sensing and atmospheric science, with particular expertise in aerosol retrieval algorithms and Earth observation systems. His most influential contribution, "Common Retrieval of Aerosol Properties for Imaging Satellite Sensors" (2018, 206 citations), introduced a unified algorithm capable of deriving key aerosol properties — including optical thickness, single-scattering albedo, and the Ångström exponent — across multiple satellite platforms over both land and ocean. Complementing this work, his development of improved hourly aerosol optical thickness estimates using Japan's Himawari-8 geostationary satellite (2018, 152 citations) demonstrated his ability to leverage cutting-edge observational technology for enhanced atmospheric monitoring. Murakami has also made sustained contributions to sensor calibration and validation, including vicarious calibration of the Global Imager and ocean color product verification for JAXA's GCOM-C/SHIKISAI mission. His research on assimilating GCOM-C observations to improve Asian dust storm simulations further highlights his interdisciplinary reach. Across his career, Murakami's work has shaped how scientists extract reliable environmental data from imaging satellites, cementing his reputation as a foundational contributor to modern Earth observation science.