P1.22
GOES-R Algorithm Working Group Sounding Application Team
PAPER WITHDRAWN
Nicholas R. Nalli, ORA, Camp Springs, MD; and C. D. Barnet and M. D. Goldberg
The Hyperspectral Environmental Suite (HES) and Advanced Baseline Imager (ABI) observing systems to fly onboard the next generation of NOAA Geostationary Environmental Operational Satellites (the GOES-R series) will provide the capability to optimize passive sounding of atmospheric temperature and water vapor, particularly under extreme weather situations (e.g., tropical and midlatitude cyclones). However, the challenge remains to transfer hyperspectral experience obtained from experimental aircraft and low earth orbit (LEO) satellites to the high spatial and temporal sampling of GOES-R. As the operational processing center for NOAA environmental satellites, NOAA/NESDIS/STAR will oversee the process for determining an optimal algorithm for retrieving atmospheric profiles in collaboration with the Sounding Application Team (SAT) of the GOES-R Algorithm Working Group (AWG). This work presents the current status of AWG/SAT activities along with the tasks that lay ahead. Specifically, 4 different algorithms developed by member institutions of the AWG/SAT have been identified for study. These algorithms, based upon different retrieval methodologies, have been developed independently at Hampton University (HU), the University of Wisconsin-Madison (UW/CIMSS), NASA Langley Research Center (LaRC), the University of Maryland Baltimore County (UMBC) and NOAA/NESDIS/STAR. Proxy data sets for evaluation/validation, including simulated data cubes (Geostationary Imaging Fourier Transform Spectrometer; GIFTS), and empirical satellite (viz., the EOS-AQUA Atmospheric Infrared Sounder; AIRS) and aircraft (viz., the NPOESS Aircraft Sounder Testbed Interferometer; NAST-I) are also being generated by the member institutions. The algorithms and proxy datasets will be ingested, then evaluated/validated, modified and merged into a single, integrated algorithm to be delivered to the system prime contractor via the GOES-R Program Office. The AWG/SAT algorithm for GOES-R will empower the user community with highly accurate sounding products from the next generation of geosynchronous satellites.
Poster Session 1, Applications and Exploitation of NPOESS and GOES-R Data Products I
Tuesday, 16 January 2007, 9:45 AM-11:00 AM, Exhibit Hall C
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