A climatologically based long-range fire growth model

A climatologically based long-range fire growth model demonstrates strong agreement with deterministic fire growth models, validating its probabilistic approach for predicting wildfire extent. The model integrates fire spread probabilities and survival likelihoods, derived from 30 years of fire weather data and fuel type variations. By combining exponential distributions of potential spread rates across eight compass directions with Markov chain predictions of duff moisture code evolution, the model generates probable fire extent maps. A comparative study within Wood Buffalo National Park showed that this long-term probabilistic approach closely matches hourly-based deterministic simulations, even when introducing heterogeneous fuels and weather conditions. This finding supports the model's utility for large-scale wildfire risk assessment in UNESCO World Heritage Sites like Wood Buffalo National Park.

Anderson, K. (2010). A climatologically based long-range fire growth model. International Journal of Wildland Fire, 19(7), 879–894. https://doi.org/10.1071/wf09053