Hyperspectral infrared alone cloudy sounding algorithm development
Elisabeth Weisz, Univ. of Wisconsin/CIMSS, Madison, WI; and J. Li, C. Y. Liu, D. K. Zhou, H. L. Huang, and M. Goldberg
As a first step to combine high temporal resolution ABI (Advanced Baseline Imager on GOES-R) and hyperspectral infrared (IR) sounder (on polar orbiting satellites) data in a novel sounding approach, a retrieval algorithm has been developed to simultaneously derive atmospheric temperature, humidity and ozone profiles under all weather conditions. The methodology is based on eigenvector regression and is applied to AIRS (Atmospheric Infrared Sounder) single field-of-view radiances. Validation of the retrieval products is conducted by using the operational products of MODIS (Moderate Resolution Imaging Spectroradiometer) and AIRS, ECMWF (European Centre for Medium-Range Weather Forecasts) analysis fields and radiosonde observations. These inter-comparisons clearly demonstrate the potential of this algorithm to process the data of high-spectral infrared sounder instruments like AIRS, IASI (Infrared Atmospheric Sounding Interferometer, results are also shown) and CrIS (Cross-track Infrared Sounder).
Poster Session 1, Fifth GOES Users' Confererence Poster Session
Wednesday, 23 January 2008, 2:30 PM-4:00 PM, Exhibit Hall B
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