Linked Environments for Atmospheric Discovery (LEAD): A cyberinfrastructure for mesoscale meteorology research and education

Kelvin K. Droegemeier, V. Chandrasekar, Richard Clark, Dennis Gannon, Sara Graves, Everette Joseph, Mohan Ramamurthy, Robert Wilhelmson, Keith Brewster, Ben Domenico, Theresa Leyton, Vernon Morris, Donald Murray, Beth Plale, Rahul Ramachandran, Daniel Reed, John Rushing, Daniel Weber, Anne Wilson, Ming XueSepideh Yalda

Research output: Contribution to journalConference articlepeer-review

5 Scopus citations

Abstract

The fundamental IT and meteorology research challenges needed to create an integrated, scalable framework known as the Linked Environments for Atmospheric Discovery (LEAD) are discussed. LEAD can be used for identifying, accessing, preparing, and assimilating a broad band of meteorological data and model output independent of format and physical location. A distinguishing charcteristic of LEAD is its emphasis on dynamically adaptive, on demand, real time and fault tolerant Grid computing. LEAD also enjoys synergies with other activities in the geosciences.

Original languageEnglish (US)
Pages (from-to)901-911
Number of pages11
JournalBulletin of the American Meteorological Society
StatePublished - 2004
Externally publishedYes
EventCombined Preprints: 84th American Meteorological Society (AMS) Annual Meeting - Seattle, WA., United States
Duration: Jan 11 2004Jan 15 2004

ASJC Scopus subject areas

  • Atmospheric Science

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