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 Rushing; Everette Joseph; Vernon Morris

doi:10.1109/MCSE.2005.124

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 journal › Review article › peer-review

77 Scopus citations

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 language	English (US)
Pages (from-to)	12-27
Number of pages	16
Journal	Computing in Science and Engineering
Volume	7
Issue number	6
DOIs	https://doi.org/10.1109/MCSE.2005.124
State	Published - Nov 2005
Externally published	Yes

ASJC Scopus subject areas

General Computer Science
General Engineering

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10.1109/MCSE.2005.124

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Droegemeier, K. K., Brewster, K., Xue, M., Weber, D., Gannon, D., Plale, B., Reed, D., Ramakrishnan, L., Alameda, J., Wilhelmson, R., Baltzer, T., Domenico, B., Murray, D., Ramamurthy, M., Wilson, A., Clark, R., Yalda, S., Graves, S., Ramachandran, R., ... Morris, V. (2005). Service-oriented environments for dynamically interacting with mesoscale weather. Computing in Science and Engineering, 7(6), 12-27. https://doi.org/10.1109/MCSE.2005.124

Droegemeier, KK, Brewster, K, Xue, M, Weber, D, Gannon, D, Plale, B, Reed, D, Ramakrishnan, L, Alameda, J, Wilhelmson, R, Baltzer, T, Domenico, B, Murray, D, Ramamurthy, M, Wilson, A, Clark, R, Yalda, S, Graves, S, Ramachandran, R, Rushing, J, Joseph, E & Morris, V 2005, 'Service-oriented environments for dynamically interacting with mesoscale weather', Computing in Science and Engineering, vol. 7, no. 6, pp. 12-27. https://doi.org/10.1109/MCSE.2005.124

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title = "Service-oriented environments for dynamically interacting with mesoscale weather",

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.",

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

note = "Funding Information: partment of Physics and Astronomy at Howard University, codirector of the NOAA/Howard University Center for Atmospheric Sciences, and principal investigator on several research grants from NASA, NOAA, and NSF. He has a PhD in physics from the State University of New York, Albany. Contact him at ejoseph@howard.edu. Funding Information: LEAD is a large information technology research grant funded by the US National Science Foundation under the following cooperative agreements: ATM-0331594 (University of Oklahoma), ATM-0331591 (Colorado State University), ATM-0331574 (Millersville University), ATM-0331480 (Indiana University), ATM-0331579 (University of Alabama in Huntsville), ATM03-31586 (Howard University), ATM-0331587 (University Corp- oration for Atmospheric Research), and ATM-0331578 (University of Illinois, Urbana-Champaign, with a subcontract to the University of North Carolina).",

year = "2005",

month = nov,

doi = "10.1109/MCSE.2005.124",

language = "English (US)",

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AU - Droegemeier, Kelvin K.

AU - Brewster, Keith

AU - Xue, Ming

AU - Weber, Daniel

AU - Gannon, Dennis

AU - Plale, Beth

AU - Reed, Daniel

AU - Ramakrishnan, Lavanya

AU - Alameda, Jay

AU - Wilhelmson, Robert

AU - Baltzer, Tom

AU - Domenico, Ben

AU - Murray, Donald

AU - Ramamurthy, Mohan

AU - Wilson, Anne

AU - Clark, Richard

AU - Yalda, Sepideh

AU - Graves, Sara

AU - Ramachandran, Rahul

AU - Rushing, John

AU - Joseph, Everette

AU - Morris, Vernon

N1 - Funding Information: partment of Physics and Astronomy at Howard University, codirector of the NOAA/Howard University Center for Atmospheric Sciences, and principal investigator on several research grants from NASA, NOAA, and NSF. He has a PhD in physics from the State University of New York, Albany. Contact him at ejoseph@howard.edu. Funding Information: LEAD is a large information technology research grant funded by the US National Science Foundation under the following cooperative agreements: ATM-0331594 (University of Oklahoma), ATM-0331591 (Colorado State University), ATM-0331574 (Millersville University), ATM-0331480 (Indiana University), ATM-0331579 (University of Alabama in Huntsville), ATM03-31586 (Howard University), ATM-0331587 (University Corp- oration for Atmospheric Research), and ATM-0331578 (University of Illinois, Urbana-Champaign, with a subcontract to the University of North Carolina).

PY - 2005/11

Y1 - 2005/11

N2 - 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.

AB - 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.

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Service-oriented environments for dynamically interacting with mesoscale weather

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