Towards a Real-Time Data Driven Wildland Fire Model
arXiv:0801.3875 · doi:10.1109/IPDPS.2008.4536414
Abstract
A wildland fire model based on semi-empirical relations for the spread rate of a surface fire and post-frontal heat release is coupled with the Weather Research and Forecasting atmospheric model (WRF). The propagation of the fire front is implemented by a level set method. Data is assimilated by a morphing ensemble Kalman filter, which provides amplitude as well as position corrections. Thermal images of a fire will provide the observations and will be compared to a synthetic image from the model state.
5 pages, 4 figures