Designing a Dynamic Data Driven Application System for Coastal and Environmental Modeling

  • Gabrielle Allen
  • Philip Bogden
  • Richard A. LuettichJr.
  • Edward Seidel
  • Robert Twilley
Part of the IFIP The International Federation for Information Processing book series (IFIPAICT, volume 239)


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.


Storm Surge Tropical Storm National Hurricane Center National Hurricane ADCIRC Model 
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Copyright information

© International Federation for Information Processing 2007

Authors and Affiliations

  • Gabrielle Allen
    • 1
  • Philip Bogden
    • 2
  • Richard A. LuettichJr.
    • 3
  • Edward Seidel
    • 4
  • Robert Twilley
    • 5
  1. 1.Center for Computation & Technology and Department of Computer ScienceLouisiana State UniversityUSA
  2. 2.Gulf of Maine Ocean Observing SystemUSA
  3. 3.Institute of Marine SciencesUniversity of North Carolina at Chapel HillUSA
  4. 4.Center for Computation & Technology and Department of PhysicsLouisiana State UniversityUSA
  5. 5.Department of Oceanography and Coastal ScienceLouisiana State UniversityUSA

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