Search Results

You are looking at 1 - 1 of 1 items for :

  • Author or Editor: Louie Grasso x
  • Weather and Forecasting x
  • Refine by Access: All Content x
Clear All Modify Search
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

Abstract

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.

Full access