P1.3
Candidate approaches for the real-time generation of cloud properties from GOES-R ABI
Andrew K. Heidinger, NOAA/NESDIS, Madison, WI
While the launch of GOES-R is years away, work is continuing on developing consensus algorithms for estimating cloud properties. The cloud application team of the GOES-R Algorithm Working Group (AWG) has recently completed an initial version of the cloud algorithms for the GOES-R Advanced Baseline Imager (ABI). This poster illustrates our current approaches and provides estimates of their performance and capabilities. Performance metrics generated via comparison with CALIPSO will be shown. In addition, this poster will discuss our current research plans to improve the performance over the coming years.
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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