Towards dynamically adaptive weather analysis and forecasting in LEAD

Authors:
Beth Plale;Dennis Gannon;Dan Reed;Sara Graves;Kelvin Droegemeier;Bob Wilhelmson;Mohan Ramamurthy
Affiliations:
Indiana University;Indiana University;University of North Carolina, Chapel Hill;University of Alabama Huntsville;Oklahoma University;University of Illinois Urbana Champaign;UCAR, Unidata
Venue:
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part II
Year:
2005

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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.