MEAD (A Modeling Environment for Atmospheric Discovery)

Robert Wilhelmson, Jay Alameda, Kelvin Droegemeier, Michael Folk, Rob Fowler, Dennis Gannon, Sara Graves, Dale Haidvogel, Parry Husbands, Charles Lee Isbell, Dan Weber, Paul Woodward, Bryant W. York, Sarah Anderson, Brian Jewett, Christopher Moore, David Nolan, David Porter, Dave Semeraro, Steve Tanner

Research output: Contribution to journalConference articlepeer-review


The developments made on a modeling environment for atmospheric discovery (MEAD) are discussed. MEAD is aimed at development and adaptation of Grid and TeraGrid enabled cyberinfrastructure for enabling ensemble or very large domain model simulations coupled with data handling, analysis, data mining and visualization services. This includes a dynamic workflow and data management environment applicable in a variety of fluid flow modeling environments. The specific application chosen for MEAD are mesoscale storm and hurricane modeling environments.

Original languageEnglish (US)
Pages (from-to)913-916
Number of pages4
JournalBulletin of the American Meteorological Society
StatePublished - 2004
EventCombined Preprints: 84th American Meteorological Society (AMS) Annual Meeting - Seattle, WA., United States
Duration: Jan 11 2004Jan 15 2004


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