Articles | Volume 14, issue 8
https://doi.org/10.5194/nhess-14-2249-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/nhess-14-2249-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
28 Aug 2014
Research article |
| 28 Aug 2014
Modelling wildland fire propagation by tracking random fronts
G. Pagnini
Ikerbasque, Basque Foundation for Science, Alameda Urquijo 36-5, Plaza Bizkaia, 48011 Bilbao, Basque Country, Spain
BCAM – Basque Center for Applied Mathematics, Alameda de Mazarredo 14, 48009 Bilbao, Basque Country, Spain
A. Mentrelli
Department of Mathematics, University of Bologna, Piazza di Porta San Donato 5, 40126 Bologna, Italy
BCAM – Basque Center for Applied Mathematics, Alameda de Mazarredo 14, 48009 Bilbao, Basque Country, Spain
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Cited
17 citations as recorded by crossref.
- RandomFront 2.3: a physical parameterisation of fire spotting for operational fire spread models – implementation in WRF-SFIRE and response analysis with LSFire+ A. Trucchia et al. https://doi.org/10.5194/gmd-12-69-2019
- Modelling and simulation of wildland fire in the framework of the level set method A. Mentrelli & G. Pagnini https://doi.org/10.1007/s11587-016-0272-1
- Front propagation in anomalous diffusive media governed by time-fractional diffusion A. Mentrelli & G. Pagnini https://doi.org/10.1016/j.jcp.2014.12.015
- Turbulence and fire-spotting effects into wild-land fire simulators I. Kaur et al. https://doi.org/10.1016/j.cnsns.2016.03.003
- Fire-spotting generated fires. Part I: The role of atmospheric stability V. Egorova et al. https://doi.org/10.1016/j.apm.2019.02.010
- Modelling wildfire propagation using the stochastic level-set method S. Masoudian et al. https://doi.org/10.1016/j.cnsns.2025.109305
- A Systematic Review of Models for Fire Spread in Wildfires by Spotting E. Cardoso et al. https://doi.org/10.3390/fire8100392
- Fire-spotting generated fires. Part II: The role of flame geometry and slope V. Egorova et al. https://doi.org/10.1016/j.apm.2021.11.010
- Towards predictive data-driven simulations of wildfire spread – Part I: Reduced-cost Ensemble Kalman Filter based on a Polynomial Chaos surrogate model for parameter estimation M. Rochoux et al. https://doi.org/10.5194/nhess-14-2951-2014
- Statistical dynamics of wildfire burned area from cellular-automata simulators A. Sahila et al. https://doi.org/10.1038/s41598-025-30851-3
- A High Resolution Coupled Fire–Atmosphere Forecasting System to Minimize the Impacts of Wildland Fires: Applications to the Chimney Tops II Wildland Event P. Jiménez et al. https://doi.org/10.3390/atmos9050197
- Qualitative Numerical Analysis of a Free-Boundary Diffusive Logistic Model M. Casabán et al. https://doi.org/10.3390/math11061296
- On the merits of sparse surrogates for global sensitivity analysis of multi-scale nonlinear problems: Application to turbulence and fire-spotting model in wildland fire simulators A. Trucchia et al. https://doi.org/10.1016/j.cnsns.2019.02.002
- Patterns of burned area by a cellular-automata fire simulator: The role of microscale wind field A. Sahila et al. https://doi.org/10.1016/j.cnsns.2025.109026
- A random free-boundary diffusive logistic differential model: Numerical analysis, computing and simulation M. Casabán et al. https://doi.org/10.1016/j.matcom.2024.02.016
- The Spotting Distribution of Wildfires J. Martin & T. Hillen https://doi.org/10.3390/app6060177
- Fire-spotting modelling in operational wildfire simulators based on Cellular Automata: A comparison study M. López-De-Castro et al. https://doi.org/10.1016/j.agrformet.2024.109989
17 citations as recorded by crossref.
- RandomFront 2.3: a physical parameterisation of fire spotting for operational fire spread models – implementation in WRF-SFIRE and response analysis with LSFire+ A. Trucchia et al. https://doi.org/10.5194/gmd-12-69-2019
- Modelling and simulation of wildland fire in the framework of the level set method A. Mentrelli & G. Pagnini https://doi.org/10.1007/s11587-016-0272-1
- Front propagation in anomalous diffusive media governed by time-fractional diffusion A. Mentrelli & G. Pagnini https://doi.org/10.1016/j.jcp.2014.12.015
- Turbulence and fire-spotting effects into wild-land fire simulators I. Kaur et al. https://doi.org/10.1016/j.cnsns.2016.03.003
- Fire-spotting generated fires. Part I: The role of atmospheric stability V. Egorova et al. https://doi.org/10.1016/j.apm.2019.02.010
- Modelling wildfire propagation using the stochastic level-set method S. Masoudian et al. https://doi.org/10.1016/j.cnsns.2025.109305
- A Systematic Review of Models for Fire Spread in Wildfires by Spotting E. Cardoso et al. https://doi.org/10.3390/fire8100392
- Fire-spotting generated fires. Part II: The role of flame geometry and slope V. Egorova et al. https://doi.org/10.1016/j.apm.2021.11.010
- Towards predictive data-driven simulations of wildfire spread – Part I: Reduced-cost Ensemble Kalman Filter based on a Polynomial Chaos surrogate model for parameter estimation M. Rochoux et al. https://doi.org/10.5194/nhess-14-2951-2014
- Statistical dynamics of wildfire burned area from cellular-automata simulators A. Sahila et al. https://doi.org/10.1038/s41598-025-30851-3
- A High Resolution Coupled Fire–Atmosphere Forecasting System to Minimize the Impacts of Wildland Fires: Applications to the Chimney Tops II Wildland Event P. Jiménez et al. https://doi.org/10.3390/atmos9050197
- Qualitative Numerical Analysis of a Free-Boundary Diffusive Logistic Model M. Casabán et al. https://doi.org/10.3390/math11061296
- On the merits of sparse surrogates for global sensitivity analysis of multi-scale nonlinear problems: Application to turbulence and fire-spotting model in wildland fire simulators A. Trucchia et al. https://doi.org/10.1016/j.cnsns.2019.02.002
- Patterns of burned area by a cellular-automata fire simulator: The role of microscale wind field A. Sahila et al. https://doi.org/10.1016/j.cnsns.2025.109026
- A random free-boundary diffusive logistic differential model: Numerical analysis, computing and simulation M. Casabán et al. https://doi.org/10.1016/j.matcom.2024.02.016
- The Spotting Distribution of Wildfires J. Martin & T. Hillen https://doi.org/10.3390/app6060177
- Fire-spotting modelling in operational wildfire simulators based on Cellular Automata: A comparison study M. López-De-Castro et al. https://doi.org/10.1016/j.agrformet.2024.109989
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