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 journalArticlepeer-review


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 (US)
Pages (from-to)56-64
Number of pages9
Issue number11
StatePublished - Nov 2006
Externally publishedYes


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

ASJC Scopus subject areas

  • General Computer Science


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