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Dan Bikos
Daniel T. Lindsey
Jason Otkin
Justin Sieglaff
Louie Grasso
Chris Siewert
James Correia Jr.
Michael Coniglio
Robert Rabin
John S. Kain
, and
Scott Dembek


Output from a real-time high-resolution numerical model is used to generate synthetic infrared satellite imagery. It is shown that this imagery helps to characterize model-simulated large-scale precursors to the formation of deep-convective storms as well as the subsequent development of storm systems. A strategy for using this imagery in the forecasting of severe convective weather is presented. This strategy involves comparing model-simulated precursors to their observed counterparts to help anticipate model errors in the timing and location of storm formation, while using the simulated storm evolution as guidance.

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