TY - JOUR
T1 - Linked Environments for Atmospheric Discovery (LEAD)
T2 - Combined Preprints: 84th American Meteorological Society (AMS) Annual Meeting
AU - Droegemeier, Kelvin K.
AU - Chandrasekar, V.
AU - Clark, Richard
AU - Gannon, Dennis
AU - Graves, Sara
AU - Joseph, Everette
AU - Ramamurthy, Mohan
AU - Wilhelmson, Robert
AU - Brewster, Keith
AU - Domenico, Ben
AU - Leyton, Theresa
AU - Morris, Vernon
AU - Murray, Donald
AU - Plale, Beth
AU - Ramachandran, Rahul
AU - Reed, Daniel
AU - Rushing, John
AU - Weber, Daniel
AU - Wilson, Anne
AU - Xue, Ming
AU - Yalda, Sepideh
PY - 2004
Y1 - 2004
N2 - 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.
AB - 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.
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M3 - Conference article
AN - SCOPUS:2442625434
SN - 0003-0007
SP - 901
EP - 911
JO - Bulletin of the American Meteorological Society
JF - Bulletin of the American Meteorological Society
Y2 - 11 January 2004 through 15 January 2004
ER -