ITR/NGS: Collaborative Research: DDDAS: Data Dynamic Simulation for Disaster Management

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ITR: Collaborative Research: DDDAS:Data Dynamic Simulation for Disaster ManagementJanice L. Coen, Craig C. Douglas, Leopoldo P. Franca, Robert Kremens,Jan Mandel, Anatolii Puhalskii, Anthony Vodacek, and Wei ZhaoThis 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 mathematicalmodeling techniques together with advanced statisticaltechniques will be used to manage uncertainty. High-performance middleware will be used toconnect computational nodes, sensor nodes, surveyance nodes, and visualization nodes into adistributed information and modeling system. New network software technologies will makethe communication between the nodes secure and provide quality of service guarantees. Thesystem will be designed to tolerate interruptions of communication, increased latencies, and nodedisappearances.