Abstract
The geostationary hyperspectral infrared sounder studied for the next generation Geostationary Operational Environmental Satellite. An atmospheric temperature and moisture sounding profile retrieval algorithm has been developed for processing the GHS under both clear and cloudy skies through brightness temperature eigenvector regression with all the spectral channels. A Geosynchronous Imaging Fourier Transform Spectrometer like instrument is assumed in the simulation study. Nonhydrostatic numerical model over a full disk analyses can provide atmospheric profile data with high temporal and spatial resolutions. The atmospheric cube data set from the Weather and Research Forecast model output were used as “truth” atmospheric field in the simulation. Each truth atmospheric profile is used to generate the simulated GIFTS top of atmosphere radiances by a fast 2-layer cloudy radiative transfer forward model with instrument noise contained. Retrieved atmospheric temperature, moisture, ozone profiles, and surface skin temperature are then compared with the model profiles (“truth”) to demonstrate the capability of the GHS. A similar study was shown by Liu et al. (2004) but in clear skies only.
© 2007 Optical Society of America
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