P8.11
Ozone estimation with the GOES-R Advanced Baseline Imager: proxy data studies
Christopher C. Schmidt, CIMSS/Univ. of Wisconsin, Madison, WI; and J. P. Hoffman
Estimation via regression of total column ozone with geostationary satellites was developed at the Cooperative Institute for Meteorological Satellite Studies (CIMSS) in the late 1990s for use with data from the GOES Sounder. That legacy will continue with GOES-R and the Advanced Baseline Imager, which will also be able to estimate ozone from mid- to long-wave infrared bands, much like can be done with the GOES Sounder today. As the algorithm has been developed, proxy data consisting of imagery from the Meteosat Second Generation (MSG) Spinning Enhanced Visible and Infrared Imager (SEVIRI) instrument has been used to test its performance. SEVIRI is substantially similar to ABI with respect to ozone estimation and allows for testing with an extensive set of proxy data. CIMSS will present results of the SEVIRI proxy data studies, with particular emphasis on the potential for new insights to be gained from high frequency, high resolution, hemispheric total column ozone estimates.
Poster Session 8, Next-Generation Satellite Observing Systems - Posters
Thursday, 30 September 2010, 2:30 PM-4:00 PM, ABC Pre-Function
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