Towards Dynamically Adaptive Weather Analysis and Forecasting in LEAD
Lecture notes in computer sciencePublished 1 January 2005
Beth Plale, Dennis Gannon, Dan Reed, Sara Graves, Kelvin K. Droegemeier, B. Wilhelmson
Citations70
SJR quartileQ2
SJR score0.35
SNIP0.55
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TL;DR
An architectural framework that is forming the thinking about adaptability and give early solutions in workflow and monitoring is discussed.
Abstract
LEAD is a large-scale effort to build a service-oriented infrastructure that allows atmospheric science researchers to dynamically and adaptively respond to weather patterns to produce better-than-real time predictions of tornadoes and other "mesoscale" weather events. In this paper we discuss an architectural framework that is forming our thinking about adaptability and give early solutions in workflow and monitoring.
Keywords
Computer ScienceDecision Sciences
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