Articles | Volume 14, issue 11
Nat. Hazards Earth Syst. Sci., 14, 3077–3091, 2014
https://doi.org/10.5194/nhess-14-3077-2014

Special issue: Numerical wildland combustion, from the flame to the...

Nat. Hazards Earth Syst. Sci., 14, 3077–3091, 2014
https://doi.org/10.5194/nhess-14-3077-2014

Research article 27 Nov 2014

Research article | 27 Nov 2014

Evaluation of forest fire models on a large observation database

J. B. Filippi et al.

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Cited articles

Alexander, M. E. and Cruz, M. G.: Are the applications of wildland fire behaviour models getting ahead of their evaluation again?, Environ. Modell. Softw., 41, 65–71, https://doi.org/10.1016/j.envsoft.2012.11.001, 2013.
Anderson, H.: Heat transfer and fire spread, USDA Forest Service research paper INT, Intermountain Forest and Range Experiment Station, Forest Service, US Dept. of Agriculture, 1969.
Anderson, H., Forest, I., and Range Experiment Station (Ogden, U.: Aids to determining fuel models for estimating fire behavior, General technical report INT, US Dept. of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, 1981.
Andrews, P. L.: BEHAVE: fire behavior prediction and fuel modeling system – BURN subsystem, Tech. rep., USDA Forest Service, Intermountain Research Station, 1986.
Andrews, P. L., Cruz, M. L., and Rothermel, R.: Examination of the wind speed limit function in the Rothermel surface fire spread model, Int. J. Wildland Fire, 22, 959–969, https://doi.org/dx.doi.org/10.1071/WF12122, 2013.
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A set of 80 Mediterranean fire cases is used as an observation database for model evaluation. Simulations are carried out with 4 different front velocity models. The results are compared with several error scoring methods. All simulations are performed as automatic first guesses with no tuning, as an operational use. Regardless of the quality of the input data, it is found that the models can be ranked based on their performance and that the most complex models outperform the more empirical one.
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