Real-Time Data Driven Wildland Fire Modeling

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dc.creatorBeezley, Jonathan D.
dc.creatorChakraborty, Soham
dc.creatorCoen, Janice L.
dc.creatorDouglas, Craig C.
dc.creatorMandel, Jan
dc.creatorVodacek, Anthony
dc.creatorWang, Zhen
dc.date2008-02-12
dc.date.accessioned2026-07-07T12:27:19Z
dc.date.available2026-07-07T12:27:19Z
dc.descriptionWe 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.
dc.description8 pages, 4 figures. ICCS 08
dc.identifierhttps://arxiv.org/abs/0802.1615
dc.identifierhttp://arxiv.org/abs/0802.1615
dc.identifierProceedings ICCS 2008. Lecture Notes in Computer Science vol 5103 pp 46-53 2008.
dc.identifierdoi:10.1007/978-3-540-69389-5_7
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/215167
dc.subjectAtmospheric and Oceanic Physics
dc.subjectComputational Physics
dc.titleReal-Time Data Driven Wildland Fire Modeling
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