International Eurasian Academy of Sciences, IEAS

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Jun LI
Academician
Jun LI
Profile:
Elected Academician of the International Eurasian Academy of Sciences in 2020, Professor Jun Li is a distinguished Chinese scientist in meteorological satellite remote sensing whose research has focused on satellite radiative transfer theory, atmospheric sounding, and Earth observation systems. Born in June 1965 in Batang Village, Yangxiang Town, Yixing, Jiangsu Province, he received his B.S. in Mathematics from Peking University in 1987, his M.S. from the Institute of Atmospheric Physics, Chinese Academy of Sciences (CAS), in 1990, and his Ph.D. from the same institute in 1996. He began his research career as an Assistant Researcher at the Institute of Atmospheric Physics, CAS, from 1990 to 1993, and conducted visiting scholar research at the Space Science and Engineering Center (SSEC), University of Wisconsin–Madison, USA, from 1993 to 1995. He subsequently held a series of research positions at SSEC between 1997 and 2008, progressing from Associate Researcher to Senior Scientist. In 2010, he was appointed Chief Scientist of the National Satellite Meteorological Center, China Meteorological Administration, while continuing to serve as Senior Scientist at SSEC. He currently serves as Research Professor and Chief Scientist at the National Satellite Meteorological Center.

Professor Li’s research has focused on the theoretical and observational foundations of meteorological satellite remote sensing, with particular emphasis on radiative transfer modelling, atmospheric profile retrieval algorithms, and the calibration and validation of satellite-borne infrared and microwave sounders. Through international collaborative projects involving China’s meteorological satellite programme, NASA, NOAA, and the University of Wisconsin–Madison, his work has addressed the assimilation of satellite observations into numerical weather prediction models, hyperspectral infrared sounding techniques, and the development of next-generation geostationary meteorological satellite observation systems in China. He has authored numerous peer-reviewed publications in remote sensing and atmospheric science journals and has contributed to the development of satellite-based meteorological observation capabilities in China. Through sustained research, leadership of national satellite programmes, and international scientific collaboration, Professor Li has contributed to connecting advances in radiative transfer physics and satellite remote sensing with operational applications in weather forecasting, climate monitoring, and disaster early warning.