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.
@article{arxiv.0801.3875,
title = {Towards a Real-Time Data Driven Wildland Fire Model},
author = {Jan Mandel and Jonathan D. Beezley and Soham Chakraborty and Janice L. Coen and Craig C. Douglas and Anthony Vodacek and Zhen Wang},
journal= {arXiv preprint arXiv:0801.3875},
year = {2015}
}