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contributor authorBikos, Dan
contributor authorLindsey, Daniel T.
contributor authorOtkin, Jason
contributor authorSieglaff, Justin
contributor authorGrasso, Louie
contributor authorSiewert, Chris
contributor authorCorreia, James
contributor authorConiglio, Michael
contributor authorRabin, Robert
contributor authorKain, John S.
contributor authorDembek, Scott
date accessioned2017-06-09T17:35:51Z
date available2017-06-09T17:35:51Z
date copyright2012/06/01
date issued2012
identifier issn0882-8156
identifier otherams-87817.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231528
description abstractutput 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.
publisherAmerican Meteorological Society
titleSynthetic Satellite Imagery for Real-Time High-Resolution Model Evaluation
typeJournal Paper
journal volume27
journal issue3
journal titleWeather and Forecasting
identifier doi10.1175/WAF-D-11-00130.1
journal fristpage784
journal lastpage795
treeWeather and Forecasting:;2012:;volume( 027 ):;issue: 003
contenttypeFulltext


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