Title :
CASA and LEAD: adaptive cyberinfrastructure for real-time multiscale weather forecasting
Author :
Plale, B. ; Gannon, D. ; Brotzge, J. ; Droegemeier, K. ; Kurose, J. ; McLaughlin, D. ; Wilhelmson, R. ; Graves, S. ; Mohan Ramamurthy ; Clark, R.D. ; Yalda, S. ; Reed, D.A. ; Joseph, E. ; Chandrasekar, V.
Author_Institution :
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
Keywords :
Web services; data handling; data mining; geophysics computing; radar; storms; weather forecasting; wireless sensor networks; workflow management software; CASA; LEAD; Web services framework; adaptive cyberinfrastructure; adaptive sensor network; data management; data mining; dynamic workflow orchestration; dynamically adaptive systems; high-resolution radars; real-time multiscale weather forecasting; storm forecasting speed; Atmospheric modeling; Computer vision; Convergence; Data mining; Meteorological radar; Predictive models; Probability; Radar remote sensing; Weather forecasting; Wind; CASA; Grid computing; LEAD; Multiscale modeling; System-evel science; Weather Forecasting; Web services;
DOI :
10.1109/MC.2006.375
