· Microwave emissivity of the Earth’s surface is both the critical signal for remote sensing of land surface variables, and a noise source for atmospheric variables. The dynamical behaviors of microwave emissivity over many types of the earth’s surfaces are still not well understood, even qualitatively. In this talk, the current state of knowledge on microwave emissivity will be briefly summarized, followed by an introduction to land surface radiative transfer modeling (RTM). Results from global simulations with coupled land surface and radiative transfer models will be presented. The dynamics of the microwave emissivity from models and from AMSR-E observations will be compared, to illustrate the promises and challenges of land surface microwave emissivity modeling.
Dr. Yudong Tian received his Ph.D. in Atmospheric Sciences in 1999 from UCLA, specializing in climate dynamics and geophysical fluid dynamics. Afterward, he went to work in the Internet industry in California, holding such positions as systems manager and chief technology officer, with expertise in networking, system architecture, software engineering, and cyber security. He started to work for NASA Goddard Space Flight Center in 2002, first on the development of the Land Information System (LIS), which won NASA’s Software of the Year Award in 2005. Subsequently he worked with the Air Force Weather Agency on its adoption of LIS as its operational framework. Since 2006, his research has been focusing more on precipitation measurements with NASA’s Tropical Rainfall Measurement Mission (TRMM) and Global Precipitation Measurement (GPM) Mission. Currently he serves on the GPM science team, and leads a project to quantify uncertainties in NASA's precipitation data records.
GSFC Hydrological Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD and the Earth Systems Science Interdisciplinary Center, University of Maryland Research Park, MD
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