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

Volume

39

Issue

11

fYear

2006

Firstpage

56

Lastpage

64

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;

fLanguage

English

Journal_Title

Computer

Publisher

ieee

ISSN

0018-9162

Type

jour

DOI

10.1109/MC.2006.375

Filename

4014767