TY - JOUR
T1 - Techniques for evaluating wildfire simulators via the simulation of historical fires using the AUSTRALIS simulator
AU - Kelso, Joel
AU - Mellor, Drew
AU - Murphy, Mary
AU - Milne, George
PY - 2015/6/11
Y1 - 2015/6/11
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/84940551929
U2 - 10.1071/WF14047
DO - 10.1071/WF14047
M3 - Article
SN - 1049-8001
VL - 24
SP - 784
EP - 797
JO - International Journal of Wildland Fire
JF - International Journal of Wildland Fire
IS - 6
ER -