Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 2.281 IF 2.281
  • IF 5-year value: 2.693 IF 5-year 2.693
  • CiteScore value: 2.43 CiteScore 2.43
  • SNIP value: 1.193 SNIP 1.193
  • SJR value: 0.965 SJR 0.965
  • IPP value: 2.31 IPP 2.31
  • h5-index value: 40 h5-index 40
  • Scimago H index value: 73 Scimago H index 73
Volume 14, issue 11 | Copyright

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
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 27 Nov 2014

Research article | 27 Nov 2014

Evaluation of forest fire models on a large observation database

J. B. Filippi1, V. Mallet2,3, and B. Nader1 J. B. Filippi et al.
  • 1Centre National de la Recherche Scientifique, Sciences Pour l'Environnement, Université di Corsica, BP 52, 20250 Corte, France
  • 2Institut National de Recherche en Informatique et en Automatique, BP 105, 78 153 Le Chesnay CEDEX, France
  • 3Centre d'Enseignement et de Recherche en Environnement Atmosphérique (joint laboratory \'Ecole des Ponts ParisTech & EDF R & D, Université Paris Est), Marne-la-Vallée, France

Abstract. This paper presents the evaluation of several fire propagation models using a large set of observed fires. The observation base is composed of 80 Mediterranean fire cases of different sizes, which come with the limited information available in an operational context (burned surface and approximative ignition point). Simulations for all cases are carried out with four different front velocity models. The results are compared with several error scoring methods applied to each of the 320 simulations. All tasks are performed in a fully automated manner, with simulations run as first guesses with no tuning for any of the models or cases. This approach leads to a wide range of simulation performance, including some of the bad simulation results to be expected in an operational context. Disregarding 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 ones. Data and source codes used for this paper are freely available to the community.

Publications Copernicus
Special issue
Download
Short summary
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.
A set of 80 Mediterranean fire cases is used as an observation database for model evaluation....
Citation
Share