Abstract
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.
Please use the following format when citing this chapter: Allen, G., Bogden, P., Luettich, R. A., Jr., Seidel, E., Twilley, R., 2007, in IFIP International Federation for Information Processing, Volume 239, Grid-Based Problem Solving Environments, eds. Gaffney. P. W., Pool, J.C.T., (Boston: Springer), pp. 275–293.
Chapter PDF
References
F. Darema. Dynamic Data Driven Applications Systems: A New Paradigm for Application Simulations and Measurements. In Lecture Notes in Computer Science, Computational Science — ICCS 2004, pages 662–669. Springer, 2004.
C. C. Douglas, J. D. Beezley, J. Coen, Deng Li, Wei Li, A. K. Mandel, J. Mandel, G. Qin, and A. Vodacek. Demonstrating the Validity of a Wildfire DDDAS. In Lecture Notes in Computer Science, Computational Science — ICCS 2006, pages 522–529. Springer-Verlag, 2004.
Report from NSF DDDAS Workshop, March 2000, Washington, http://www.nsf.gov/cise/cns//dddas/dd_das_work_shop_rprt.pdf.
Report from NSF DDDAS Workshop, January 2006, Washington, http://www.nsf.gov/cise/cns/dddas/2006Workshop/wkshpreport.pdf.
Lake Pontchartrain Forecast System (LPFS). http://www.cct.lsu.edu/projects/LPFS.
The ADvanced CIRCulation model (ADCIRC): http://www.adcirc.org/.
Louisiana Optical Network Initiative (LONI): http://www.loni.org.
Coastal Louisiana Ecosystem Assessment and Restoration (CLEAR): Building a coastal ecosystem forecasting system, http://www.clear.lsu.edu.
Louisiana coastal area, louisiana — ecosystem restoration study — november 2004. volume 4. appendix c — hydrodynamic and ecological modeling. Technical report, 2004. http://www.lca.gov/appc.aspx.
SURA Coastal Ocean Observing Program (SCOOP): http://www.scoop.sura.org.
Bogden, P., Allen, G., Stone, G., Bintz, J., Graber, H., Graves, S., Luettich, R., Reed, D., Sheng, P., Wang, H., Zhao, W. The Southeastern University Research Association Coastal Ocean Observing and Prediction Program: Integrating Marine Science and Information Technology. In Proceedings of the OCEANS 2005 MTS/IEEE Conference, Sept 18-23, 2005, Washington, D.C, 2005. http://www.scoop.sura.org/documents/050301-04.pdf.
Earth System Modeling Framework, http://www.esmf.ucar.edu.
Tom Goodale, Gabrielle Allen, Gerd Lanfermann, Joan Masso, Thomas Radke, Edward Seidel, and John Shalf. The Cactus framework and toolkit: Design and applications. In High Performance Computing for Computational Science–VEC–PAR 2002, 5th International Conference, Porto, Portugal, June 26-28, 2002, pages 197–227, Berlin, 2003. Springer.
Fokke Dijkstra and Aad van der Steen. Integration of Two Ocean Models. In Special Issue of Concurrency and Computation, Practice & Experience, volume 18, pages 193–202. Wiley, 2005.
Jon MacLaren, Gabrielle Allen, Chirag Dekate, Dayong Huang, Andrei Hutanu, and Chongjie Zhang. Shelter from the Storm: Building a Safe Archive in a Hostile World. In Proceedings of the The Second International Workshop on Grid Computing and its Application to Data Analysis (GADA’ 05), Agia Napa, Cyprus, 2005. Springer Verlag.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 International Federation for Information Processing
About this paper
Cite this paper
Allen, G., Bogden, P., Luettich, R.A., Seidel, E., Twilley, R. (2007). Designing a Dynamic Data Driven Application System for Coastal and Environmental Modeling. In: Gaffney, P.W., Pool, J.C.T. (eds) Grid-Based Problem Solving Environments. IFIP The International Federation for Information Processing, vol 239. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73659-4_15
Download citation
DOI: https://doi.org/10.1007/978-0-387-73659-4_15
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-73658-7
Online ISBN: 978-0-387-73659-4
eBook Packages: Computer ScienceComputer Science (R0)