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MCS
2008
Springer

A wildland fire model with data assimilation

8 years 2 months ago
A wildland fire model with data assimilation
A wildfire model is formulated based on balance equations for energy and fuel, where the fuel loss due to combustion corresponds to the fuel reaction rate. The resulting coupled partial differential equations have coefficients which can be approximated from prior measurements of wildfires. An Ensemble Kalman Filter technique is then used to assimilate temperatures measured at selected points into running wildfire simulations. The assimilation technique is able to modify the simulations to track the measurements correctly even if the simulations were started with an erroneous ignition location that is quite far away from the correct one. Key words: wildfire; combustion; ensemble Kalman filter; parameter identification; data assimilation; reaction-diffusion equations; partial differential equations; sensors
Jan Mandel, Lynn S. Bennethum, Jonathan D. Beezley
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2008
Where MCS
Authors Jan Mandel, Lynn S. Bennethum, Jonathan D. Beezley, Janice L. Coen, Craig C. Douglas, Minjeong Kim, Anthony Vodacek
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