Techniques for evaluating wildfire simulators via the simulation of historical fires using the Australis simulator
Joel K. Kelso A B , Drew Mellor A , Mary E. Murphy A and George J. Milne A
+ Author Affiliations
- Author Affiliations
A School of Computer Science and Software Engineering, University of Western Australia, M002, 35 Stirling Highway, Crawley, WA 6009, Australia.
B Corresponding author. Email: joel.kelso@uwa.edu.au
International Journal of Wildland Fire 24(6) 784-797 https://doi.org/10.1071/WF14047
Submitted: 27 March 2014 Accepted: 15 March 2015 Published: 11 June 2015
Abstract
A methodology for validating fire spread simulation systems using historical fire data is presented. The key features of this methodology are (a) quantitative comparison between simulator-generated fire perimeters and fire perimeters from an independently produced fire reconstruction at multiple time points during the fire, and (b) extensive sensitivity analyses on simulation variables including simulation spatial resolution, weather, vegetation coverage and fire behaviour model selection to determine the effect of each simulation input on the simulation output. The methodology is demonstrated in a case study in which the ability of the Australis high-performance wildfire simulator to replicate a large wildfire in Western Australia was examined. Simulation accuracy was found to be lower in extreme fire danger conditions and exhibited under-prediction of the head fire rate of spread. This was caused by inaccuracies in at least one of wind speed data, vegetation data or the fire behaviour model applied; however, the source of the inaccuracy could not be further diagnosed with the available data. The gathering of accurate data during and after active wildfires would facilitate more rigorous simulator and fire behaviour model validation studies as well as more accurate prediction of ‘live’ wildfires.
Additional keywords: Boorabbin Fire, fire spread simulation, Geographic Information System (GIS), validation.
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