Towards Dynamically Adaptive Weather Analysis and Forecasting in LEAD
نویسندگان
چکیده
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
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Realization of Dynamically Adaptive Weather Analysis and Forecasting in LEAD: Four Years Down the Road
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