Extended Abstract (1.7M)P6.8
Advanced Nowcasting Application for Next Generation GOES
T. Scott Zaccheo, AER, Inc, Lexington, MA; and R. P. D'Entremont, G. B. Gustafson, and D. B. Hogan
Data and products from the next generation of NOAA geo-synchronous earth observing platforms (GOES-R) will aid in the development of new short-term forecasts or nowcasts applications/tools. One such application is the use of rapid refresh GOES-R cloud products (e.g., top, base, phase) to assist in forecasting cloud cover and state. Cross-correlation of cloud features in discrete altitude bands across time-sequential images provides the basis for an advection forecast algorithm operating in the 0-3 hour timeframe. Coincident NWP wind data are used to quality control derived feature-track trajectory vectors. This presentation describes a real-time implementation of this approach, and presents results obtained using calibrated VIS/IR observations from the SEVIRI instrument aboard the Meteosat-8 second-generation satellite and high resolution MM5 forecast fields.
Poster Session 6, New and Future Sensors and Applications
Thursday, 2 February 2006, 9:45 AM-9:45 AM, Exhibit Hall A2
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