arXiv · 0802.1615
Real-Time Data Driven Wildland Fire Modeling
Abstract
We are developing a wildland fire model based on semi-empirical relations that estimate the rate of spread of a surface fire and post-frontal heat release, coupled with WRF, the Weather Research and Forecasting atmospheric model. A level set method identifies the fire front. Data are assimilated using both amplitude and position corrections using a morphing ensemble Kalman filter. We will use thermal images of a fire for observations that will be compared to synthetic image based on the model state.
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Jonathan D. Beezley, Soham Chakraborty, Janice L. Coen, Craig C. Douglas, Jan Mandel, Anthony Vodacek, Zhen Wang. 2008-02-12. Real-Time Data Driven Wildland Fire Modeling. https://doi.org/10.1007/978-3-540-69389-5_7
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