The Evolution of a WILDLAND Forest FIRE FRONT
The Visual Computer: International Journal of Computer Graphics
Towards applications of particle filters in wildfire spread simulation
Proceedings of the 40th Conference on Winter Simulation
State estimation using particle filters in wildfire spread simulation
SpringSim '09 Proceedings of the 2009 Spring Simulation Multiconference
Forecasting and visualization of wildfires in a 3D geographical information system
Computers & Geosciences
A dynamic data driven application system for wildfire spread simulation
Winter Simulation Conference
Data assimilation using sequential monte carlo methods in wildfire spread simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Simulation of wireless sensor networks under partial coverage
Proceedings of the Winter Simulation Conference
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We report on two ongoing efforts to build Dynamic Data Driven Application Systems (DDDAS) for (1) short-range forecasting of weather and wildfire behavior from real time weather data, images, and sensor streams, and (2) contaminant identification and tracking in water bodies. Both systems change their forecasts as new data is received. We use one long term running simulation that self corrects using out of order, imperfect sensor data. The DDDAS versions replace codes that were previously run using data only in initial conditions. DDDAS entails the ability to dynamically incorporate additional data into an executing application, and in reverse, the ability of an application to dynamically steer the measurement process.