Towards dynamically adaptive weather analysis and forecasting in LEAD

Beth Plale; Dennis Gannon; Dan Reed; Sara Graves; Kelvin Droegemeier; Bob Wilhelmson; Mohan Ramamurthy

doi:10.1007/11428848_81

Towards dynamically adaptive weather analysis and forecasting in LEAD

Beth Plale, Dennis Gannon, Dan Reed, Sara Graves, Kelvin Droegemeier, Bob Wilhelmson, Mohan Ramamurthy

Earth Observation and Data Services Center

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

39 Scopus citations

Abstract

LEAD is a large-scale effort to build a service-oriented infrastructure that allows atmospheric science researchers to dynamically and adaptively respond to weather patterns to produce better-than-real time predictions of tornadoes and other "mesoscale" weather events. In this paper we discuss an architectural framework that is forming our thinking about adaptability and give early solutions in workflow and monitoring.

Original language	English
Pages (from-to)	624-631
Number of pages	8
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3515
Issue number	II
DOIs	https://doi.org/10.1007/11428848_81
State	Published - 2005
Event	5th International Conference on Computational Science - ICCS 2005 - Atlanta, GA, United States Duration: May 22 2005 → May 25 2005

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10.1007/11428848_81

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title = "Towards dynamically adaptive weather analysis and forecasting in LEAD",

abstract = "LEAD is a large-scale effort to build a service-oriented infrastructure that allows atmospheric science researchers to dynamically and adaptively respond to weather patterns to produce better-than-real time predictions of tornadoes and other {"}mesoscale{"} weather events. In this paper we discuss an architectural framework that is forming our thinking about adaptability and give early solutions in workflow and monitoring.",

author = "Beth Plale and Dennis Gannon and Dan Reed and Sara Graves and Kelvin Droegemeier and Bob Wilhelmson and Mohan Ramamurthy",

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issn = "0302-9743",

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note = "5th International Conference on Computational Science - ICCS 2005 ; Conference date: 22-05-2005 Through 25-05-2005",

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Towards dynamically adaptive weather analysis and forecasting in LEAD. / Plale, Beth; Gannon, Dennis; Reed, Dan et al.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3515, No. II, 2005, p. 624-631.

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

TY - JOUR

T1 - Towards dynamically adaptive weather analysis and forecasting in LEAD

AU - Plale, Beth

AU - Gannon, Dennis

AU - Reed, Dan

AU - Graves, Sara

AU - Droegemeier, Kelvin

AU - Wilhelmson, Bob

AU - Ramamurthy, Mohan

PY - 2005

Y1 - 2005

N2 - LEAD is a large-scale effort to build a service-oriented infrastructure that allows atmospheric science researchers to dynamically and adaptively respond to weather patterns to produce better-than-real time predictions of tornadoes and other "mesoscale" weather events. In this paper we discuss an architectural framework that is forming our thinking about adaptability and give early solutions in workflow and monitoring.

AB - LEAD is a large-scale effort to build a service-oriented infrastructure that allows atmospheric science researchers to dynamically and adaptively respond to weather patterns to produce better-than-real time predictions of tornadoes and other "mesoscale" weather events. In this paper we discuss an architectural framework that is forming our thinking about adaptability and give early solutions in workflow and monitoring.

UR - https://www.scopus.com/pages/publications/25144438107

U2 - 10.1007/11428848_81

DO - 10.1007/11428848_81

M3 - Conference article

AN - SCOPUS:25144438107

SN - 0302-9743

VL - 3515

SP - 624

EP - 631

JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

IS - II

T2 - 5th International Conference on Computational Science - ICCS 2005

Y2 - 22 May 2005 through 25 May 2005

ER -

Towards dynamically adaptive weather analysis and forecasting in LEAD

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