808 Leveraging the GOES-R Proving Ground Process and Forecaster Feedback to Improve GOES-R products and Training Material

Wednesday, 9 January 2013
Exhibit Hall 3 (Austin Convention Center)
Scott S. Lindstrom, Univ. of Wisconsin, Madison, WI; and W. Feltz, S. Bachmeier, J. Sieglaff, L. Cronce, C. Calvert, and M. J. Pavolonis

Handout (379.7 kB)

The GOES-R Proving Ground has produced new products designed to help forecasters improve situational awareness, anticipate convective development and monitor fog and low cloud development. Feedback from the VISIT Training developed for these products has led to significant evolution in both the products developed (and their presentation), the training given to forecasters, and to forecaster acceptance and understanding of the products. This cycle of product development, training, feedback and refinement underscores the importance of user (that is, forecaster) input in the development of a useful guidance. The two GOES-R products that will be examined are the GOES-R Fog/Low Cloud Product (IFR Probability), and UW Cloud-Top Cooling.
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