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Issue No.06 - November/December (2005 vol.7)
pp: 12-29
Kelvin K. Droegemeier , University of Oklahoma
Dennis Gannon , Indiana University
Daniel Reed , University of North Carolina
Beth Plale , Indiana University
Jay Alameda , US National Center for Supercomputing Applications
Tom Baltzer , University Corporation for Atmospheric Research
Keith Brewster , University of Oklahoma
Richard Clark , Millersville University
Ben Domenico , University Corporation for Atmospheric Research
Sara Graves , University of Alabama in Huntsville
Everette Joseph , Howard University
Donald Murray , University Corporation for Atmospheric Research
Rahul Ramachandran , University of Alabama in Huntsville
Mohan Ramamurthy , University Corporation for Atmospheric Research
Lavanya Ramakrishnan , University of North Carolina
John A. Rushing , University of Alabama in Huntsville
Daniel Weber , University of Oklahoma
Robert Wilhelmson , University Corporation for Atmospheric Research
Anne Wilson , University Corporation for Atmospheric Research
Ming Xue , University of Oklahoma
Sepideh Yalda , Millersville University
ABSTRACT
Within a decade after John von Neumann and colleagues conducted the first experimental weather forecast on the ENIAC computer in the late 1940s, numerical models of the atmosphere became the foundation of modern-day weather forecasting and one of the driving application areas in computer science. This article describes research that is enabling a major shift toward dynamically adaptive responses to rapidly changing environmental conditions.
INDEX TERMS
mesoscale meteorology, weather, Doppler radar, workflow, grid computing, orchestration, numerical weather forecasting, ensemble forecasting
CITATION
Kelvin K. Droegemeier, Dennis Gannon, Daniel Reed, Beth Plale, Jay Alameda, Tom Baltzer, Keith Brewster, Richard Clark, Ben Domenico, Sara Graves, Everette Joseph, Donald Murray, Rahul Ramachandran, Mohan Ramamurthy, Lavanya Ramakrishnan, John A. Rushing, Daniel Weber, Robert Wilhelmson, Anne Wilson, Ming Xue, Sepideh Yalda, "Service-Oriented Environments for Dynamically Interacting with Mesoscale Weather", Computing in Science & Engineering, vol.7, no. 6, pp. 12-29, November/December 2005, doi:10.1109/MCSE.2005.124
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