Articles | Volume 14, issue 11
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.
the Creative Commons Attribution 3.0 License.
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.
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. Filippi et al.
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Cited
17 citations as recorded by crossref.
- Numerical simulation of forest fire propagation based on modified two-dimensional model A. Kuleshov et al. 10.1134/S207004821704007X
- Conditional Performance Evaluation: Using Wildfire Observations for Systematic Fire Simulator Development T. Duff et al. 10.3390/f9040189
- Calibration of FARSITE simulator in northern Iranian forests R. Jahdi et al. 10.5194/nhess-15-443-2015
- A web-based wildfire simulator for operational applications B. Arca et al. 10.1071/WF18078
- Emulation of wildland fire spread simulation using deep learning F. Allaire et al. 10.1016/j.neunet.2021.04.006
- State-parameter estimation approach for data-driven wildland fire spread modeling: Application to the 2012 RxCADRE S5 field-scale experiment C. Zhang et al. 10.1016/j.firesaf.2019.03.009
- Parameter estimation of fire propagation models using level set methods A. Alessandri et al. 10.1016/j.apm.2020.11.030
- Multifidelity prediction in wildfire spread simulation: Modeling, uncertainty quantification and sensitivity analysis M. Valero et al. 10.1016/j.envsoft.2021.105050
- Turbulence and fire-spotting effects into wild-land fire simulators I. Kaur et al. 10.1016/j.cnsns.2016.03.003
- Evaluating fire growth simulations using satellite active fire data A. Sá et al. 10.1016/j.rse.2016.12.023
- A review of a new generation of wildfire–atmosphere modeling A. Bakhshaii & E. Johnson 10.1139/cjfr-2018-0138
- Application of a CA-based model to predict the fire front in Hyrcanian forests of Iran S. Eskandari 10.1007/s12517-016-2717-y
- An integrated approach for tactical monitoring and data-driven spread forecasting of wildfires M. Valero et al. 10.1016/j.firesaf.2017.03.085
- Short-term fire front spread prediction using inverse modelling and airborne infrared images O. Rios et al. 10.1071/WF16031
- Generation and evaluation of an ensemble of wildland fire simulations F. Allaire et al. 10.1071/WF19073
- Simulation of a Large Wildfire in a Coupled Fire-Atmosphere Model J. Filippi et al. 10.3390/atmos9060218
- Calibration of FARSITE fire area simulator in Iranian northern forests R. Jahdi et al. 10.5194/nhessd-2-6201-2014
16 citations as recorded by crossref.
- Numerical simulation of forest fire propagation based on modified two-dimensional model A. Kuleshov et al. 10.1134/S207004821704007X
- Conditional Performance Evaluation: Using Wildfire Observations for Systematic Fire Simulator Development T. Duff et al. 10.3390/f9040189
- Calibration of FARSITE simulator in northern Iranian forests R. Jahdi et al. 10.5194/nhess-15-443-2015
- A web-based wildfire simulator for operational applications B. Arca et al. 10.1071/WF18078
- Emulation of wildland fire spread simulation using deep learning F. Allaire et al. 10.1016/j.neunet.2021.04.006
- State-parameter estimation approach for data-driven wildland fire spread modeling: Application to the 2012 RxCADRE S5 field-scale experiment C. Zhang et al. 10.1016/j.firesaf.2019.03.009
- Parameter estimation of fire propagation models using level set methods A. Alessandri et al. 10.1016/j.apm.2020.11.030
- Multifidelity prediction in wildfire spread simulation: Modeling, uncertainty quantification and sensitivity analysis M. Valero et al. 10.1016/j.envsoft.2021.105050
- Turbulence and fire-spotting effects into wild-land fire simulators I. Kaur et al. 10.1016/j.cnsns.2016.03.003
- Evaluating fire growth simulations using satellite active fire data A. Sá et al. 10.1016/j.rse.2016.12.023
- A review of a new generation of wildfire–atmosphere modeling A. Bakhshaii & E. Johnson 10.1139/cjfr-2018-0138
- Application of a CA-based model to predict the fire front in Hyrcanian forests of Iran S. Eskandari 10.1007/s12517-016-2717-y
- An integrated approach for tactical monitoring and data-driven spread forecasting of wildfires M. Valero et al. 10.1016/j.firesaf.2017.03.085
- Short-term fire front spread prediction using inverse modelling and airborne infrared images O. Rios et al. 10.1071/WF16031
- Generation and evaluation of an ensemble of wildland fire simulations F. Allaire et al. 10.1071/WF19073
- Simulation of a Large Wildfire in a Coupled Fire-Atmosphere Model J. Filippi et al. 10.3390/atmos9060218
1 citations as recorded by crossref.
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Latest update: 23 Oct 2021
Special issue
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....
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