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 Rushing

Everette Joseph, Vernon Morris

University of Oklahoma
Sasaki Institute
School of Meteorology
Indiana University Bloomington
University of North Carolina at Chapel Hill
University of Illinois at Urbana-Champaign
University Corporation of Atmospheric Research
Unidata Program Center
National Center for Atmospheric Research
Millersville University
University of Alabama in Huntsville
Computer Science Department
Information Technology and Systems Center
National Space Science and Technology Center
Howard University

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

82 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
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

Access to Document

10.1109/MCSE.2005.124

Cite this

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

@article{6e4b8a3c221b448188bf6bd487a1fbcd,

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",

year = "2005",

month = nov,

doi = "10.1109/MCSE.2005.124",

language = "English",

volume = "7",

pages = "12--27",

journal = "Computing in Science and Engineering",

issn = "1521-9615",

publisher = "IEEE Computer Society",

number = "6",

}

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

TY - JOUR

T1 - Service-oriented environments for dynamically interacting with mesoscale weather

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

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.

UR - https://www.scopus.com/pages/publications/28244451273

U2 - 10.1109/MCSE.2005.124

DO - 10.1109/MCSE.2005.124

M3 - Review article

AN - SCOPUS:28244451273

SN - 1521-9615

VL - 7

SP - 12

EP - 27

JO - Computing in Science and Engineering

JF - Computing in Science and Engineering

IS - 6

ER -

Service-oriented environments for dynamically interacting with mesoscale weather

Abstract

Access to Document

Other files and links

Fingerprint

Cite this