P1.17
GOES-R Proxy data for Mesoscale weather systems
Tong Zhu, Colorado State Univ./CIRA at NOAA/NESDIS, Camp Springs, MD; and F. Weng
A high quality proxy data system is requested by the GOES-R Algorithm Working Group (AWG) program for the development of GOES-R product algorithms and processing system. The central task of the proxy data management system is the delivery of the observation- and simulation-based GOES-R Level 1B data. Recently, the project has integrated 15-minute SEVIRI data, MODIS daily land surface temperatures, and emissivity data. The WRF model simulated GOES-R data for mesoscale weather events such as hurricanes and high-level clouds are under development.
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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