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Award Abstract #0324910
ITR/NGS: Collaborative Research: DDDAS: Data-Dynamic Simulation for Disaster Management


NSF Org: CNS
Division of Computer and Network Systems
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Initial Amendment Date: August 22, 2003
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Latest Amendment Date: April 24, 2008
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Award Number: 0324910
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Award Instrument: Continuing grant
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Program Manager: Anita J. LaSalle
CNS Division of Computer and Network Systems
CSE Directorate for Computer & Information Science & Engineering
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Start Date: September 15, 2003
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Expires: January 31, 2009 (Estimated)
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Awarded Amount to Date: $401515
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Investigator(s): Janice Coen janicec@ncar.ucar.edu (Principal Investigator)
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Sponsor: University Corporation For Atmospheric Res
1850 TABLE MESA DR
BOULDER, CO 80305 303/497-1000
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NSF Program(s): ITR MEDIUM (GROUP) GRANTS
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Field Application(s): 0000099 Other Applications NEC
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Program Reference Code(s): HPCC, 9216, 9215, 2884, 1687, 1652
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Program Element Code(s): 1687

ABSTRACT

This project will develop advanced Information

Technology tools, mathematical models, and prototype infrastructure for disaster modeling and management. The project will bring comprehensive information and numerical prediction where it is needed, at the disaster command center, in real time. The system will incorporate large volume of information from data streams, e.g., as maps, sensor, surveyance, and weather data, and the mathematical model will run on remote supercomputers. The model will be controlled by dynamically available data, and the results visualized in distributed devices, like laptops and palmtops connected to the Internet by wireless ethernet and a broadband satellite link. Other sensors and airborne imagers will also be networked wirelessly. The core of the envisioned modeling system will be an existing computer model of wildland and weather around the area, adn these models will be rewritten from scratch using modern software engineering methodology as a data driven application, and enhanced by new mathematical modeling techniques together with advanced statistical techniques will be used to manage uncertainty. High-performance middleware will be used to connect omputational nodes, sensor nodes, surveyance nodes, and visualization nodes into a distributed information and modeling system. New network software technologies will make the communication between the nodes secure and provide quality of service guarantees. The system will be designed to tolerate interruptions of communication, increased latencies, and node disappearances.


PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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A. Ononye, A. Vodacek, and E. Saber. "Towards automated extraction of fire line parameters from multispectral infrared images," Remote Sensing of Environment, v.108, 2007, p. 179.

B. Dai, A. Urbas, C. C. Douglas, and R. A. Lodder. "Molecular factor computing for predictive spectroscopy," Pharmaceutical Research, 2007.

C. C. Douglas and G. Haase. "Algebraic multigrid and Schur complement strategies within a multilayer spectral element ocean model," Contemporary Math., v.329, 2003, p. 89.

C. C. Douglas, J. Hu, J. Ray, D. T. Thorne, and R. Tuminaro. "Cache aware multigrid for variable coefficient elliptic problems on adaptive mesh refinement hierarchies," Numerical Linear Algrebra and Applications, v.11, 2004, p. 173.

C. C. Douglas, Y. Efendiev, R. Ewing, V. Ginting, and R. Lazarov. "Dynamic data driven simulations in stochastic environments," Computing, v.77, 2006, p. 321.

C.C. Douglas, Deng Li, T. Kako, M. Suzuki, and I. Hagiwari,. "On a Novel perturbation expansion method for coupled systems of acoustics and structures," Computer and Mathematics with Applications, v.51, 2006, p. 1689.

C.C. Douglas, Deng Li, T. Kako, M. Suzuki, and I. Hagiwari,. "On a Novel perturbation expansion method for coupled systems of acoustics and structures," Computer and Mathematics with Applications, v.51, 2006, p. 1689.

C.C. Douglas, Y. Efendiev, V. Ginting, R. Lazarov. "Dynamic data-driven application simulation framework for contaminant transport problems," Computer and Mathematics with Applications, v.51, 2006, p. 1633.

C.C. Douglas, Y. Efendiev, V. Ginting, R. Lazarov. "Dynamic data-driven application simulation framework for contaminant transport problems," Computer and Mathematics with Applications, v.51, 2006, p. 1633.

Deng Li and C. C. Douglas. "Dynamic Data-Driven Application Simulation Projects," Bulletin of the Japanese Society of Industrial and Applied Mathematics (in Japanese), v.15, 2005, p. 75-78.


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Last Updated:April 2, 2007