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ICCS
2005
Springer

Towards Dynamically Adaptive Weather Analysis and Forecasting in LEAD

8 years 11 months ago
Towards Dynamically Adaptive Weather Analysis and Forecasting in LEAD
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. 7
Beth Plale, Dennis Gannon, Daniel A. Reed, Sara J.
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where ICCS
Authors Beth Plale, Dennis Gannon, Daniel A. Reed, Sara J. Graves, Kelvin Droegemeier, Robert Wilhelmson, Mohan Ramamurthy
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