Two wildland fire models are described, one based on reaction-diffusion-convection partial differential equations, and one based on semi-empirical fire spread by the level let method. The level set method model is coupled with the Weather Research and Forecasting (WRF) atmospheric model. The regularized and the morphing ensemble Kalman filter are used for data assimilation.
Cite
@article{arxiv.0712.3965,
title = {Data Assimilation for Wildland Fires: Ensemble Kalman filters in coupled atmosphere-surface models},
author = {Jan Mandel and Jonathan D. Beezley and Janice L. Coen and Minjeong Kim},
journal= {arXiv preprint arXiv:0712.3965},
year = {2010}
}
Comments
Minor revision, except description of the model expanded. 29 pages, 9 figures, 53 references