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Issue No.11 - November (2006 vol.39)
pp: 56-64
B. Plale , Indiana Univ., Bloomington, IN
ABSTRACT
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
B. Plale, "CASA and LEAD: adaptive cyberinfrastructure for real-time multiscale weather forecasting", Computer, vol.39, no. 11, pp. 56-64, November 2006, doi:10.1109/MC.2006.375
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