Downward Longwave Surface Radiation from Sun-Synchronous Satellite Data: Validation of Methodology

Wayne L. Darnell Atmospheric Sciences Division, NASA Langley Research Center, Hampton, VA 23665

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Shashi K. Gupta Atmospheric Sciences Division, NASA Langley Research Center, Hampton, VA 23665

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W. Frank Staylor Atmospheric Sciences Division, NASA Langley Research Center, Hampton, VA 23665

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Abstract

An extensive study has been carried out to validate a satellite technique for estimating downward longwave radiation at the surface. The technique, mostly developed earlier, uses operational sun-synchronous satellite data and a radiative transfer model to provide the surface flux estimates. The satellite-derived fluxes were compared directly with corresponding ground-measured fluxes at four different sites in the United States for a common one-year data period. This provided a study of seasonal variations as well as a diversity of meteorological conditions. Dome heating errors in the ground-measured fluxes were also investigated and were corrected prior to the comparisons. Comparison of the monthly averaged fluxes from the satellite and ground sources for all four sites for the entire year showed a correlation coefficient of 0.98 and a standard error of estimate of 10 W m−2. A brief description of the technique is provided, and the results validating the technique are presented.

Abstract

An extensive study has been carried out to validate a satellite technique for estimating downward longwave radiation at the surface. The technique, mostly developed earlier, uses operational sun-synchronous satellite data and a radiative transfer model to provide the surface flux estimates. The satellite-derived fluxes were compared directly with corresponding ground-measured fluxes at four different sites in the United States for a common one-year data period. This provided a study of seasonal variations as well as a diversity of meteorological conditions. Dome heating errors in the ground-measured fluxes were also investigated and were corrected prior to the comparisons. Comparison of the monthly averaged fluxes from the satellite and ground sources for all four sites for the entire year showed a correlation coefficient of 0.98 and a standard error of estimate of 10 W m−2. A brief description of the technique is provided, and the results validating the technique are presented.

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