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Physical Retrieval of Surface Emissivity Spectrum from Hyperspectral Infrared RadiancesRetrieval of temperature, moisture profiles and surface skin temperature from hyperspectral infrared (IR) radiances requires spectral information about the surface emissivity. Using constant or inaccurate surface emissivities typically results in large retrieval errors, particularly over semi-arid or arid areas where the variation in emissivity spectrum is large both spectrally and spatially. In this study, a physically based algorithm has been developed to retrieve a hyperspectral IR emissivity spectrum simultaneously with the temperature and moisture profiles, as well as the surface skin temperature. To make the solution stable and efficient, the hyperspectral emissivity spectrum is represented by eigenvectors, derived from the laboratory measured hyperspectral emissivity database, in the retrieval process. Experience with AIRS (Atmospheric InfraRed Sounder) radiances shows that a simultaneous retrieval of the emissivity spectrum and the sounding improves the surface skin temperature as well as temperature and moisture profiles, particularly in the near surface layer.
Document ID
20080000848
Acquisition Source
Langley Research Center
Document Type
Preprint (Draft being sent to journal)
Authors
Li, Jun (Wisconsin Univ. Madison, WI, United States)
Weisz, Elisabeth (Wisconsin Univ. Madison, WI, United States)
Zhou, Daniel K. (NASA Langley Research Center Hampton, VA, United States)
Date Acquired
August 24, 2013
Publication Date
January 1, 2007
Subject Category
Meteorology And Climatology
Funding Number(s)
WBS: WBS 509496.02.01.01.03
Distribution Limits
Public
Copyright
Public Use Permitted.

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