Designing a dynamic data driven application system for coastal and environmental modeling

Gabrielle Allen, Philip Bogden, Richard A. Luettich, Edward Seidel, Robert Twilley

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The economically important Louisiana Coastal Area (LCA) is susceptible to hurricane activity which is increasingly aggravated by the continuing erosion of wetlands. Various programs are aimed at building sophisticated models of meteorological, coastal, and ecological processes. The emerging paradigm of Dynamic Data Driven Application Systems (DDDAS) can be applied to these models leading to new scenarios for integrated, real-time simulations that include feedback control with sensors and simulations. This paper describes the motivation and components for a comprehensive DDDAS for coastal and environmental modeling and the implications this has for scientific libraries and high performance computing.

Original languageEnglish (US)
Title of host publicationGrid-Based Problem Solving Environments
Subtitle of host publicationIFIP TC2/ WG 2.5 Working Conference on Grid-Based Problem Solving Environments: Implications for Development and Deployment of Numerical Software
EditorsPatrick W. Gaffney, James C.T. Pool
Number of pages19
StatePublished - 2007
Externally publishedYes

Publication series

NameIFIP International Federation for Information Processing
ISSN (Print)1571-5736

ASJC Scopus subject areas

  • Information Systems and Management


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