Demonstrating the validity of a wildfire DDDAS

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Title: Demonstrating the validity of a wildfire DDDAS
Author: Douglas, Craig; Beezley, Jonathan; Coen, Janice; Li, Deng; Li, Wei; Mandel, Alan; Mandel, Jan; Qin, Guan; Vodacek, Anthony
Abstract: We report on an ongoing effort to build a Dynamic Data Driven Application System (DDDAS) for short-range forecast of weather and wildfire behavior from real-time weather data, images, and sensor streams. The system changes the forecast as new data is received. We encapsulate the model code and apply an ensemble Kalman filter in time- space with a highly parallel implementation. In this paper, we discuss how we will demonstrate that our system works using a DDDAS testbed approach and data collected from an earlier fire.
Description: "Demonstrating the validity of a wildfire DDDAS," Proceedings of the International Conference on Computational Science 2006 (ICCS 2006). Held at the University of Reading, UK: 28-31 May 2006.RIT community members may access full-text via RIT Libraries licensed databases:
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Date: 2006-07-11

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