Service-oriented environments for dynamically interacting with mesoscale weather

Kelvin K. Droegemeier, Keith Brewster, Ming Xue, Daniel Weber, Dennis Gannon, Beth Plale, Daniel Reed, Lavanya Ramakrishnan, Jay Alameda, Robert Wilhelmson, Tom Baltzer, Ben Domenico, Donald Murray, Mohan Ramamurthy, Anne Wilson, Richard Clark, Sepideh Yalda, Sara Graves, Rahul Ramachandran, John RushingEverette Joseph, Vernon Morris

Research output: Contribution to journalReview article

Abstract

The construction of Linked Environments for Atmospheric Discovery (LEAD) system, which addresses the challenges needed to create a framework for predicting the atmosphere, is discussed. LEAD's complex array of services, applications, interfaces, and local and remote computing, networking, and storage resources are assembled by users in workflows to study mesoscale weather as it evolves. LEAD lets users query for and acquire information, simulate and predict weather by using numerical atmospheric models, assimilate data and analyze data and model output. A reliability-monitoring toolkit complements the performance-monitoring infrastructure. It helps LEAD use reliability data to make scheduling decisions, anticipate likely failures, and take action.

Original languageEnglish (US)
Pages (from-to)12-27
Number of pages16
JournalComputing in Science and Engineering
Volume7
Issue number6
DOIs
StatePublished - Nov 2005

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

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