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Impacts of Satellite Data on the Impacts of Numerical Simulations of Tropical Cyclones
来源:LASG        报告时间:2015-6-19
【报告人】        Prof. Donglian Sun
【报告人单位】George Mason University, USA
【报告时间】    2015年6月19日(星期五)10:30
【报告地点】    科研楼303会议室
【报告简介】    

 

Prof. Donglian Sun is a faculty at the Department of Geography and Geoinformation Science, George Mason University. She got a Master degree for working with numerical simulations of East Asia monsoon under the advice of Prof. Baozhen Zhu in 1989 in China, another Master degree under the supervision of famous numerical model scientist Prof. Dalin Zhang, Ph.D. degree under the advice of famous remote sensing scientist Prof. Rachel Pinker from University of Maryland at College Park. She is one of the first generation scientists working with algorithm development for the next generation polar orbiting satellite system NPOESS, now S-NPP, and future JPSS. She has dedicated to the development of remote sensing algorithms for derivation of surface and atmospheric information, including surface temperature, surface type, soil moisture, and atmospheric water vapor, and flood/drought monitoring from satellite observations. She and her group developed GOES land surface temperature (LST) product. The current S-NPP VIIRS LST product is based on her algorithm. She and her group have also been in charge of generating and providing flood products for National Weather Services (NWS) River Forecasting Centers. She combined satellite remote sensing and numerical model simulations for studying natural hazards, especially tropical cyclones.

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