Real-Time Data Driven Wildland Fire Modeling

Physics – Atmospheric and Oceanic Physics

Scientific paper

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8 pages, 4 figures. ICCS 08

Scientific paper

10.1007/978-3-540-69389-5_7

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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