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CASA and LEAD: adaptive cyberinfrastructure for real-time multiscale weather forecasting
November 2006 (vol. 39 no. 11)
pp. 56-64
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:
workflow management software,data handling,data mining,geophysics computing,radar,storms,weather forecasting,Web services,wireless sensor networks,data mining,CASA,LEAD,adaptive cyberinfrastructure,real-time multiscale weather forecasting,storm forecasting speed,adaptive sensor network,high-resolution radars,dynamic workflow orchestration,data management,Web services framework,dynamically adaptive systems,Weather forecasting,Meteorological radar,Predictive models,Radar remote sensing,Convergence,Data mining,Atmospheric modeling,Probability,Computer vision,Wind,Multiscale modeling,Grid computing,System-evel science,CASA,LEAD,Web services,Weather Forecasting
Citation:
E. Joseph, V. Chandrasekar, D.A. Reed, S. Yalda, R.D. Clark, Mohan Ramamurthy, S. Graves, R. Wilhelmson, J. Kurose, D. McLaughlin, K. Droegemeier, J. Brotzge, D. Gannon, B. Plale, "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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