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Land Surface Microwave Emissivity Dynamics: Observations, Analysis and ModelingLand surface microwave emissivity affects remote sensing of both the atmosphere and the land surface. The dynamical behavior of microwave emissivity over a very diverse sample of land surface types is studied. With seven years of satellite measurements from AMSR-E, we identified various dynamical regimes of the land surface emission. In addition, we used two radiative transfer models (RTMs), the Community Radiative Transfer Model (CRTM) and the Community Microwave Emission Modeling Platform (CMEM), to simulate land surface emissivity dynamics. With both CRTM and CMEM coupled to NASA's Land Information System, global-scale land surface microwave emissivities were simulated for five years, and evaluated against AMSR-E observations. It is found that both models have successes and failures over various types of land surfaces. Among them, the desert shows the most consistent underestimates (by approx. 70-80%), due to limitations of the physical models used, and requires a revision in both systems. Other snow-free surface types exhibit various degrees of success and it is expected that parameter tuning can improve their performances.
Document ID
20150008256
Document Type
Conference Paper
Authors
Tian, Yudong (Maryland Univ. College Park, MD, United States)
Peters-Lidard, Christa D. (NASA Goddard Space Flight Center Greenbelt, MD United States)
Harrison, Kenneth W. (Maryland Univ. College Park, MD, United States)
Kumar, Sujay (Science Applications International Corp. Greenbelt, MD, United States)
Ringerud, Sarah (Colorado State Univ. Fort Collins, CO, United States)
Date Acquired
May 18, 2015
Publication Date
January 1, 2014
Publication Information
Publication: MicroRad 2014: 13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment
ISBN:
Subject Category
Instrumentation and Photography
Earth Resources and Remote Sensing
Report/Patent Number
GSFC-E-DAA-TN22144
Meeting Information
Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment: MicroRad 2014(Pasadena, CA)
Funding Number(s)
CONTRACT_GRANT: NNG12HP08C
CONTRACT_GRANT: NNX12AD03A
Distribution Limits
Public
Copyright
Other
Keywords
Modeling
Microwave
Land Surface