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Proceedings Paper

Evaluation of broadband and hyperspectral IR sounders
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Paper Abstract

The High spectral resolution infrared radiances from the Atmospheric InfraRed Sounder (AIRS) onboard the NASA's Earth Observing System (EOS) Aqua satellite are used to retrieve atmospheric temperature and water vapor profiles, etc. Evaluation of these retrieved parameters is performed by a comparison with the operational products from current Geostationary Operational Environmental Satellite (GOES) sounder, radiosonde observations (RAOBs) at the Atmospheric Radiation Measurement (ARM) Program Cloud and Radiation Test Bed (CART) site in Oklahoma, United States. Comparisons show that the physical-based AIRS retrievals agree with the RAOBs from the ARM CART site with a Root Mean Square Error (RMSE) of 1 K on average for temperature profiles above 850hPa, and approximately 10% on average for relative humidity profiles. With its improved spectral resolution, AIRS depicts more detailed structure than the current Geostationary Operational Environmental Satellite (GOES) sounder when comparing AIRS sounding retrievals with the operational GOES sounding products. The advancement of hyperspectral IR sounder in deriving atmospheric parameters over the current broadband IR sounder is demonstrated and analyzed

Paper Details

Date Published: 29 August 2005
PDF: 11 pages
Proc. SPIE 5890, Atmospheric and Environmental Remote Sensing Data Processing and Utilization: Numerical Atmospheric Prediction and Environmental Monitoring, 589005 (29 August 2005); doi: 10.1117/12.616870
Show Author Affiliations
Xuebao Wu, Peking Univ. (China)
CIMSS, Univ. of Wisconsin-Madison (United States)
National Satellite Meteorological Ctr. (China)
Jun Li, CIMSS, Univ. of Wisconsin-Madison (United States)
Allen Huang, CIMSS, Univ. of Wisconsin-Madison (United States)
Paul Menzel, NOAA/NESDIS Office of Research and Applications (United States)


Published in SPIE Proceedings Vol. 5890:
Atmospheric and Environmental Remote Sensing Data Processing and Utilization: Numerical Atmospheric Prediction and Environmental Monitoring
Hung-Lung Allen Huang; Hal J. Bloom; Xiaofeng Xu; Gerald J. Dittberner, Editor(s)

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