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Impact of point spread function on infrared radiances from geostationary Satellites

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6 Author(s)
Peng Zhang ; Cooperative Inst. for Meteorological Satellite Studies, Wisconsin Univ., Madison, WI ; Jun Li ; Olson, E. ; Schmit, T.J.
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The blurring from diffraction for the infrared (IR) radiances on a geostationary satellite (GEO) e.g., the next generation of Geostationary Operational Environmental Satellite (GOES-R) was simulated by using Moderate Resolution Imaging Spectroradiometer Airborne Simulator data and the point spread function (PSF) model for an unobscured telescope. The portion of the total radiance contributed from each nearby geometrical field of view (GFOV) was calculated. For 90% ensquared energy (EE) (equivalent to 10% of the energy coming from outside the footprint), the closest GFOVs contribute 7%; the contribution from the closest GFOVs increases to 22% for 70% EE. The increased portion from the nearby GFOVs causes larger blurring and degrades the pixel-based retrieval product accuracy. Radiance contamination from the nearby field for the GEO IR radiances with 90%, 80%, and 70% EE causes 0.2-, 0.3-, and 0.4-K blurring errors, respectively, in the 12-mum IR longwave window band in clear 300-K scenes. The blurring error is doubled in cloudy 230-K scenes. For the 13.8-mum absorption band, the blurring error will be smaller than that of the 12-mum band because the atmospheric layer where the temperature sensitivity peaks for the 13.8 mum is more uniform than the surface where the 12 mum is most sensitive. This indicates that the PSF has a greater impact on a heterogeneous surface. Similar blurring errors occur at both 4- and 10-km spatial resolution IR sensors. The blurring error is not random, and it varies spectrally. These conclusions are very relevant to the design of a cost-effective GEO IR sounder that meets the science requirements

Published in:

Geoscience and Remote Sensing, IEEE Transactions on  (Volume:44 ,  Issue: 8 )

Date of Publication:

Aug. 2006

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