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CASA and LEAD: Adaptive cyberinfrastructure for real-time multiscale weather forecasting

  • 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

Research output: Contribution to specialist publicationArticle

69 Scopus citations

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.

Original languageEnglish
Pages56-64
Number of pages9
Volume39
No11
Specialist publicationComputer
DOIs
StatePublished - Nov 2006

Keywords

  • CASA
  • Grid computing
  • LEAD
  • Multiscale modeling
  • System-evel science
  • Weather Forecasting
  • Web services

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