A Technique for Estimating Outgoing Longwave Radiation from HIRS Radiance Observations

Robert G. Ellingson Cooperative Institute for Climate Studies, Department of Meteorology, University of Maryland, College Park, Maryland

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David J. Yanuk Chesapeake Bay Institute, Johns Hopkins University, Baltimore, Maryland

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Hai-Tien Lee Cooperative Institute for Climate Studies, Department of Meteorology, University of Maryland, College Park Maryland

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Arnold Gruber National Environmental Satellite, Data and Information Service, NOAA, Washington, DC

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Abstract

A new technique for estimating outgoing longwave radiation from observations on the NOAA operational satellites has been developed from a regression analysis of radiation model calculations. The technique consists of a weighted sum of radiance in but four intervals sensed by the High-resolution InfraRed Sounder (HIRS). The analysis shows that model outgoing flux may be reproduced to within ±2 W · m−2 rms, which is about a factor of 4 smaller than the rms error of the method used by NOAA to estimate flux from the AVHRR. The small errors suggest that the new technique holds the promise of eliminating the large systematic errors possible with the current NOAA technique. Additionally, the new technique often the possibility of directly relating flux changes to changes in atmospheric parameters.

Abstract

A new technique for estimating outgoing longwave radiation from observations on the NOAA operational satellites has been developed from a regression analysis of radiation model calculations. The technique consists of a weighted sum of radiance in but four intervals sensed by the High-resolution InfraRed Sounder (HIRS). The analysis shows that model outgoing flux may be reproduced to within ±2 W · m−2 rms, which is about a factor of 4 smaller than the rms error of the method used by NOAA to estimate flux from the AVHRR. The small errors suggest that the new technique holds the promise of eliminating the large systematic errors possible with the current NOAA technique. Additionally, the new technique often the possibility of directly relating flux changes to changes in atmospheric parameters.

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