Real-Time Data Driven Wildland Fire Modeling

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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.
8 pages, 4 figures. ICCS 08

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Atmospheric and Oceanic Physics, Computational Physics

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http://salesiana.dossiersoluciones.com/handle/123456789/215167

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/0802.1615
 http://arxiv.org/abs/0802.1615
 Proceedings ICCS 2008. Lecture Notes in Computer Science vol 5103 pp 46-53 2008.
 doi:10.1007/978-3-540-69389-5_7

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arXiv