Articles citing this paper
Examination of the wind speed limit function in the Rothermel surface fire spread model
Patricia L. Andrews B D , Miguel G. Cruz A and Richard C. Rothermel C
+ Author Affiliations
- Author Affiliations
A Bushfire Dynamics and Applications, CSIRO Ecosystem Sciences and Climate Adaptation Flagship, GPO Box 1700, Canberra, ACT 2601, Australia.
B Retired. Formerly of the USDA Forest Service, Rocky Mountain Research Station, Missoula Fire Sciences Laboratory, 5775 US Highway 10 West, Missoula, MT 59808, USA.
C Retired. Formerly of the Missoula Fire Sciences Laboratory, USDA Forest Service.
D Corresponding author. Email: plandrews@fs.fed.us
International Journal of Wildland Fire 22(7) 959-969 https://doi.org/10.1071/WF12122
Submitted: 21 July 2012 Accepted: 1 February 2013 Published: 11 June 2013
31 articles found in Crossref database.
Novel method for a posteriori uncertainty quantification in wildland fire spread simulation
Allaire Frédéric,
Mallet Vivien, Filippi Jean-Baptiste
Applied Mathematical Modelling. 2021 90 p.527
Flame-Front Rate of Spread Estimates for Moderate Scale Experimental Fires Are Strongly Influenced by Measurement Approach
Johnston Joshua M.,
Wheatley Melanie J.,
Wooster Martin J.,
Paugam Ronan,
Davies G. Matt, DeBoer Kaitlin A.
Fire. 2018 1(1). p.16
Cattle grazing reduces fuel and leads to more manageable fire behavior
Ratcliff Felix,
Rao Devii,
Barry Sheila,
Dewees Shane,
Macaulay Luke,
Larsen Royce,
Shapero Matthew,
Peterson Rowan,
Moritz Max, Forero Larry
California Agriculture. 2022 76(2-3). p.60
State-parameter estimation approach for data-driven wildland fire spread modeling: Application to the 2012 RxCADRE S5 field-scale experiment
Zhang Cong,
Collin Annabelle,
Moireau Philippe,
Trouvé Arnaud, Rochoux Mélanie C.
Fire Safety Journal. 2019 105 p.286
Generation and evaluation of an ensemble of wildland fire simulations
Allaire Frédéric,
Filippi Jean-Baptiste, Mallet Vivien
International Journal of Wildland Fire. 2020 29(2). p.160
The effect of fuel bed structure on Rothermel model performance
Campbell-Lochrie Zakary,
Gallagher Michael,
Skowronski Nicholas, Hadden Rory M.
International Journal of Wildland Fire. 2023 33(1).
Combining multi-spectral and thermal remote sensing to predict forest fire characteristics
Maffei Carmine,
Lindenbergh Roderik, Menenti Massimo
ISPRS Journal of Photogrammetry and Remote Sensing. 2021 181 p.400
Predicting Fire Propagation across Heterogeneous Landscapes Using WyoFire: A Monte Carlo-Driven Wildfire Model
Ott Cory W.,
Adhikari Bishrant,
Alexander Simon P.,
Hodza Paddington,
Xu Chen, Minckley Thomas A.
Fire. 2020 3(4). p.71
Predicting the Continuous Spatiotemporal State of Ground Fire Based on the Expended LSTM Model with Self-Attention Mechanisms
Wang Xinyu,
Wang Xinquan,
Zhang Mingxian,
Tang Chun,
Li Xingdong,
Sun Shufa,
Wang Yangwei,
Li Dandan, Li Sanping
Fire. 2023 6(6). p.237
An Implementation of the Rothermel Fire Spread Model in the R Programming Language
Vacchiano Giorgio, Ascoli Davide
Fire Technology. 2015 51(3). p.523
Modification of the Rothermel model parameters – the rate of surface fire spread of Pinus koraiensis needles under no-wind and various slope conditions
Geng Daotong,
Yang Guang,
Ning Jibin,
Li Ang,
Li Zhaoguo,
Ma Shangjiong,
Wang Xinyu, Yu Hongzhou
International Journal of Wildland Fire. 2024 33(4).
Developing customized fuel models for shrub and bracken communities in Galicia (NW Spain)
Vega José A.,
Álvarez-González Juan Gabriel,
Arellano-Pérez Stéfano,
Fernández Cristina,
Cuiñas Pedro,
Jiménez Enrique,
Fernández-Alonso José M.,
Fontúrbel Teresa,
Alonso-Rego Cecilia, Ruiz-González Ana Daría
Journal of Environmental Management. 2024 351 p.119831
Towards predictive data-driven simulations of wildfire spread – Part II: Ensemble Kalman Filter for the state estimation of a front-tracking simulator of wildfire spread
Rochoux M. C.,
Emery C.,
Ricci S.,
Cuenot B., Trouvé A.
Natural Hazards and Earth System Sciences. 2015 15(8). p.1721
SPITFIRE within the MPI Earth system model: Model development and evaluation
Lasslop Gitta,
Thonicke Kirsten, Kloster Silvia
Journal of Advances in Modeling Earth Systems. 2014 6(3). p.740
Building Rothermel fire behaviour fuel models by genetic algorithm optimisation
Ascoli Davide,
Vacchiano Giorgio,
Motta Renzo, Bovio Giovanni
International Journal of Wildland Fire. 2015 24(3). p.317
Predicting the Wildland Fire Spread Using a Mixed-Input CNN Model with Both Channel and Spatial Attention Mechanisms
Li Xingdong,
Wang Xinyu,
Sun Shufa,
Wang Yangwei,
Li Sanping, Li Dandan
Fire Technology. 2023 59(5). p.2683
Development of a Fuel Model for Cistus spp. and Testing Its Fire Behavior Prediction Performance
Athanasiou Miltiadis,
Martinis Aristotelis,
Korakaki Evangelia, Avramidou Evangelia V.
Fire. 2023 6(7). p.247
Evaluation of a data-driven wildland fire spread forecast model with spatially-distributed parameter estimation in simulations of the FireFlux I field-scale experiment
Zhang Cong,
Rochoux Mélanie,
Tang Wei,
Gollner Michael,
Filippi Jean-Baptiste, Trouvé Arnaud
Fire Safety Journal. 2017 91 p.758
The Wind Effect on the Transport and Burning of Firebrands
Song Jiayun,
Huang Xinyan,
Liu Naian,
Li Han, Zhang Linhe
Fire Technology. 2017 53(4). p.1555
Modeling Wildfire Spread with an Irregular Graph Network
Jiang Wenyu,
Wang Fei,
Su Guofeng,
Li Xin,
Wang Guanning,
Zheng Xinxin,
Wang Ting, Meng Qingxiang
Fire. 2022 5(6). p.185
Predicting forest fires burned area and rate of spread from pre-fire multispectral satellite measurements
Maffei Carmine, Menenti Massimo
ISPRS Journal of Photogrammetry and Remote Sensing. 2019 158 p.263
Integrating Wildfires Propagation Prediction Into Early Warning of Electrical Transmission Line Outages
Dian Songyi,
Cheng Peng,
Ye Qiang,
Wu Jirong,
Luo Ruisen,
Wang Chen,
Hui Dafeng,
Zhou Ning,
Zou Dong,
Yu Qin, Gong Xiaofeng
IEEE Access. 2019 7 p.27586
Exploring fire response to high wind speeds: fire rate of spread, energy release and flame residence time from fires burned in pine needle beds under winds up to 27 ms−1
Butler Bret,
Quarles Steve,
Standohar-Alfano Christine,
Morrison Murray,
Jimenez Daniel,
Sopko Paul,
Wold Cyle,
Bradshaw Larry,
Atwood Loren,
Landon Justin,
O'Brien Joseph,
Hornsby Benjamin,
Wagenbrenner Natalie, Page Wesley
International Journal of Wildland Fire. 2020 29(1). p.81
Remote Sensing and Meteorological Data Fusion in Predicting Bushfire Severity: A Case Study from Victoria, Australia
Sharma Saroj Kumar,
Aryal Jagannath, Rajabifard Abbas
Remote Sensing. 2022 14(7). p.1645
WFNet: A hierarchical convolutional neural network for wildfire spread prediction
Jiang Wenyu,
Qiao Yuming,
Su Guofeng,
Li Xin,
Meng Qingxiang,
Wu Hongying,
Quan Wei,
Wang Jing, Wang Fei
Environmental Modelling & Software. 2023 170 p.105841
Numerical simulation of forest fire propagation based on modified two-dimensional model
Kuleshov A. A.,
Myshetskaya E. E., Yakush S. E.
Mathematical Models and Computer Simulations. 2017 9(4). p.437
Fire Science (2021)
A review of forest visualization and forest fire simulation technology research
Yongjian Huai,
Qingkuo Meng,
Tianrong Ma,
Haifeng Xu,
Xi Zhao,
Mingzhi Cheng, Xinyuan Huang
Journal of Image and Graphics. 2023 28(6). p.1891
A review of US wildland firefighter entrapments: trends, important environmental factors and research needs
Page Wesley G.,
Freeborn Patrick H.,
Butler Bret W., Jolly W. Matt
International Journal of Wildland Fire. 2019 28(8). p.551
Simulation of forest fire spread based on artificial intelligence
Wu Zechuan,
Wang Bin,
Li Mingze,
Tian Yuping,
Quan Ying, Liu Jianyang
Ecological Indicators. 2022 136 p.108653
Assessing improvements in models used to operationally predict wildland fire rate of spread
Cruz Miguel G.,
Alexander Martin E.,
Sullivan Andrew L.,
Gould James S., Kilinc Musa
Environmental Modelling & Software. 2018 105 p.54
