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12 August 2009 Production of proxy datasets in support of GOES-R algorithm development
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Realistic simulated satellite imagery for GOES-R ABI using state of the art mesoscale modeling and accurate radiative transfer is being produced at the Cooperative Institute for Research in the Atmosphere (CIRA) and used in developing and testing new products. Products which have been produced in support of the GOES-R Algorithm Working Group (AWG) include 6-hour imagery at 5 minute intervals for 4 GOES-R ABI bands (2.25 μm, 3.9 μm, 10.35 μm, and 11.2 μm) that include fire hotspots. The imagery was initially produced at 400 m resolution and a point-spread function applied on the data to create ABI resolution imagery. Also created was corresponding imagery for current GOES at 2 bands (3.9 μm and 10.7 μm). These fire hotspots were simulated for 4 different cases over Kansas, Central America, and California. Additionally, high quality imagery for 10 GOES-R ABI bands (3.9 μm and higher) were produced for 4 extreme weather events. These simulations include a lake effect snow case, a severe weather case, Hurricane Wilma, and Hurricane Lili. All simulations for extreme weather events were also performed for current GOES and compared with available imagery for quality control purposes. Future work focuses on the creation of additional fire proxy datasets including true-color imagery for 3 ABI visible bands. This project also supports the GOES-R AWG Aviation Team in their effort to test their convective initiation algorithm by providing simulated ABI datasets for bands between 2.25 μm and 13.3 μm for a severe weather case. In addition, simulated ABI was generated from MSG infrared (IR) window band imagery and corresponding simulated ABI for the 7 tropical cyclones from 2006-2008 that became hurricanes in the east Atlantic for evaluation of the GOES-R ADT algorithm conducted by the University of Wisconsin Cooperative Institute for Meteorological Satellite Studies (CIMSS).
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Don Hillger, Renate Brummer, Louie Grasso, Manajit Sengupta, Robert DeMaria, and Mark DeMaria "Production of proxy datasets in support of GOES-R algorithm development", Proc. SPIE 7458, Remote Sensing System Engineering II, 74580C (12 August 2009);

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