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 Xue; Sepideh Yalda

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 Xue

Sepideh Yalda

University of Oklahoma
Colorado State University
Millersville University
Indiana University Bloomington
University of Alabama in Huntsville
Natl. Computational Science Alliance
University Corporation For Atmospheric Res
Howard University

Research output: Contribution to journal › Conference article › peer-review

8 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 language	English
Pages (from-to)	901-911
Number of pages	11
Journal	Bulletin of the American Meteorological Society
State	Published - 2004
Event	Combined Preprints: 84th American Meteorological Society (AMS) Annual Meeting - Seattle, WA., United States Duration: Jan 11 2004 → Jan 15 2004

Cite this

Droegemeier, K. K., Chandrasekar, V., Clark, R., Gannon, D., Graves, S., Joseph, E., Ramamurthy, M., Wilhelmson, R., Brewster, K., Domenico, B., Leyton, T., Morris, V., Murray, D., Plale, B., Ramachandran, R., Reed, D., Rushing, J., Weber, D., Wilson, A., ... Yalda, S. (2004). Linked Environments for Atmospheric Discovery (LEAD): A cyberinfrastructure for mesoscale meteorology research and education. Bulletin of the American Meteorological Society, 901-911.

@article{577073d6da5f4bcfb3b1fd087a73bf38,

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

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.",

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

year = "2004",

language = "English",

pages = "901--911",

journal = "Bulletin of the American Meteorological Society",

issn = "0003-0007",

publisher = "American Meteorological Society",

note = "Combined Preprints: 84th American Meteorological Society (AMS) Annual Meeting ; Conference date: 11-01-2004 Through 15-01-2004",

}

Droegemeier, KK, Chandrasekar, V, Clark, R, Gannon, D, Graves, S, Joseph, E , Ramamurthy, M, Wilhelmson, R, Brewster, K, Domenico, B, Leyton, T, Morris, V, Murray, D, Plale, B, Ramachandran, R, Reed, D, Rushing, J, Weber, D, Wilson, A, Xue, M & Yalda, S 2004, 'Linked Environments for Atmospheric Discovery (LEAD): A cyberinfrastructure for mesoscale meteorology research and education', Bulletin of the American Meteorological Society, pp. 901-911.

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.

UR - https://www.scopus.com/pages/publications/2442625434

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 -

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

Abstract

Other files and links

Fingerprint

Cite this