Prediction of regional wildfire activity with a probabilistic Bayesian framework
F. Pimont, H. Fargeon, T. Opitz, J. Ruffault, R. Barbero, N. Martin-StPaul, E. Rigolot, M. Riviere, J.-L. Dupuy
This paper develops a Bayesian probabilistic model to predict regional wildfire activity using fire weather index and forest area data, showing improved accuracy at weekly scales but limitations in predicting large fires during extreme events.
bioRxiv · May 20, 2020Bioengineering