CASA and LEAD: Adaptive Cyberinfrastructure for Real-Time Multiscale Weather Forecasting
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Two closely linked projects aim to dramatically improve storm forecasting speed and accuracy. CASA is creating a distributed, collaborative, adaptive sensor network of low-power, high-resolution radars that respond to user needs. LEAD offers dynamic workflow orchestration and data management in a Web services framework designed to support on-demand, real-time, dynamically adaptive systems.
Index Terms:
Grid computing, System-evel science, CASA, LEAD, Web services, Weather Forecasting, Multiscale modeling
Citation:
Beth Plale, Dennis Gannon, Jerry Brotzge, Kelvin Droegemeier, Jim Kurose, David McLaughlin, Robert Wilhelmson, Sara Graves, Mohan Ramamurthy, Richard D. Clark, Sepi Yalda, Daniel A. Reed, Everette Joseph, V. Chandrasekar, "CASA and LEAD: Adaptive Cyberinfrastructure for Real-Time Multiscale Weather Forecasting," Computer, vol. 39, no. 11, pp. 56-64, Nov. 2006, doi:10.1109/MC.2006.375
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