Extended Abstract (3.0M)324
Using McIDAS-V in preparation for the GOES-R ABI
Kaba Bah, CIMSS/Univ. of Wisconsin, Madison, WI; and T. J. Schmit, T. Achtor, T. Rink, W. Wolf, J. Otkin, J. Sieglaff, and J. Feltz
The capabilities of the Advanced Baseline Imager (ABI) that will be on board the GOES-R satellite are being demonstrated by using McIDAS-V as a tool to visualize and analyze simulated GOES-R ABI data. These simulated images were created by the GOES-R Algorithm Working Group (AWG) who used super computers to run high resolution numerical models, which were then input into the Cooperative Institute for Meteorological Satellite Studies(CIMSS) advance radiative transfer models. The simulated datasets include 2km sampling full disk images showing GOES-R ABI in the “west” projection, 2km resolution Continental United States(CONUS) images, and higher resolution meso-scale images for the convective outbreak on June 4-5 2005 at 1-minute time intervals. McIDAS-V is a free java based open source software package designed for easy visualization and analysis of different satellite datasets. By ingesting these simulated ABI datasets into McIDAS-V for visualization, we were also able to analyze multiple bands in many different ways, which includes Normalized Difference Vegetation Index (NDVI), simple band differences, scatter analysis and data transacts.
Poster Session , Poster Session - GOES-R
Wednesday, 20 January 2010, 2:30 PM-4:00 PM
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