An application portal for collaborative coastal modeling: Research Articles
Concurrency and Computation: Practice & Experience - Workshop on Grid Computing Portals (GCE 2005)
The cactus framework and toolkit: design and applications
VECPAR'02 Proceedings of the 5th international conference on High performance computing for computational science
Shelter from the storm: building a safe archive in a hostile world
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems
Applying a Dynamic Data Driven Genetic Algorithm to Improve Forest Fire Spread Prediction
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part III
Design, implementation and use of a simulation data archive for coastal science
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
A dynamic data driven application system for wildfire spread simulation
Winter Simulation Conference
Half-duplex dynamic data driven application system for forest fire spread prediction
HPCA'09 Proceedings of the Second international conference on High Performance Computing and Applications
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The Louisiana Coastal Area presents an array of rich and urgent scientific problems that require new computational approaches. These problems are interconnected with common components: hurricane activity is aggravated by ongoing wetland erosion; water circulation models are used in hurricane forecasts, ecological planning and emergency response; environmental sensors provide information for models of different processes with varying spatial and time scales. This has prompted programs to build an integrated, comprehensive, computational framework for meteorological, coastal, and ecological models. Dynamic and adaptive capabilities are crucially important for such a framework, providing the ability to integrate coupled models with real-time sensor information, or to enable deadline based scenarios and emergency decision control systems. This paper describes the ongoing development of a Dynamic Data Driven Application System for coastal and environmental applications (DynaCode), highlighting the challenges of providing accurate and timely forecasts for hurricane events.