Canadian Forest Service Publications

Capturing sub-grid temperature and moisture variations for wildland fire modeling. 2023. Marshall. G.A.; Linn, R.R.; Holmes, M.; Goodrick, S.; Thompson, D.K.; Hemmati, A. Environmental Modelling and Software 164 (June 2023):105678.

Year: 2023

Issued by: Northern Forestry Centre

Catalog ID: 41011

Language: English

Availability: PDF (download)

Available from the Journal's Web site.
DOI: 10.1016/j.envsoft.2023.105678

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Many wildfire behavior modeling studies have focused on fires during extreme conditions, where the dominant processes are resolved and smaller-scale variations have less influence on fire behavior. As such, wildfire behavior models typically perform well for these cases. However, they can struggle in marginal conditions (e.g. low-intensity fire) as small-scale variations significantly influence fire physics at scales below grid resolution. In an effort to generalize wildfire behavior models and improve their overall performance, we have developed a new set of equations for wet and dry fuel to capture the finer-scale sub-grid variations in temperature and moisture. We explore the behavior of these equations in simple scenarios ranging from high- to low-intensity fire. Furthermore, we evaluate the performance against observations of surface fire. In all cases the proposed model performs well after peak temperature is reached; however, the rise of fuel temperature at the onset of combustion is faster than expected.