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

• Type: Conference
• Year: 2005
• Where: ICCS
• Authors: Beth Plale, Dennis Gannon, Daniel A. Reed, Sara J. Graves, Kelvin Droegemeier, Robert Wilhelmson, Mohan Ramamurthy
• Keywords: Atmospheric Science Researchers, Better-than-real Time Predictions, ICCS 2005, Service-oriented Infrastructure