Articles citing this paper
A comparison of three approaches for simulating fine-scale surface winds in support of wildland fire management. Part II. An exploratory study of the effect of simulated winds on fire growth simulations
Jason M. Forthofer A B , Bret W. Butler A , Charles W. McHugh A , Mark A. Finney A , Larry S. Bradshaw A , Richard D. Stratton A , Kyle S. Shannon A and Natalie S. Wagenbrenner A
+ Author Affiliations
- Author Affiliations
A USDA Forest Service, Rocky Mountain Research Station, Missoula Fire Sciences Laboratory, 5775 W Highway 10, Missoula, MT 59808-9361, USA.
B Corresponding author. Email: jaforthofer@fs.fed.us
International Journal of Wildland Fire 23(7) 982-994 https://doi.org/10.1071/WF12090
Submitted: 6 June 2012 Accepted: 9 May 2014 Published: 18 August 2014
36 articles found in Crossref database.
Real-time fire segmentation via Active Contours for UAV integrated wildfire propagation prediction
2018 AIAA Information Systems-AIAA Infotech @ Aerospace (2018)
Interpolation framework to speed up near-surface wind simulations for data-driven wildfire applications
Rios O.,
Jahn W.,
Pastor E.,
Valero M. M., Planas E.
International Journal of Wildland Fire. 2018 27(4). p.257
A review of thermal exposure and fire spread mechanisms in large outdoor fires and the built environment
Filkov Alexander I.,
Tihay-Felicelli Virginie,
Masoudvaziri Nima,
Rush David,
Valencia Andres,
Wang Yu,
Blunck David L.,
Valero Mario Miguel,
Kempna Kamila,
Smolka Jan,
De Beer Jacques,
Campbell-Lochrie Zakary,
Centeno Felipe Roman,
Ibrahim Muhammad Asim,
Lemmertz Calisa Katiuscia, Tam Wai Cheong
Fire Safety Journal. 2023 140 p.103871
Wind and Fire Coupled Modelling—Part II: Good Practice Guidelines
Węgrzyński Wojciech,
Lipecki Tomasz, Krajewski Grzegorz
Fire Technology. 2018 54(5). p.1443
Fuel treatment effectiveness in the context of landform, vegetation, and large, wind‐driven wildfires
Prichard Susan J.,
Povak Nicholas A.,
Kennedy Maureen C., Peterson David W.
Ecological Applications. 2020 30(5).
Downscaling surface wind predictions from numerical weather prediction models in complex terrain with WindNinja
Wagenbrenner Natalie S.,
Forthofer Jason M.,
Lamb Brian K.,
Shannon Kyle S., Butler Bret W.
Atmospheric Chemistry and Physics. 2016 16(8). p.5229
Rapid wind–terrain correction for wildfire simulations
Hilton James, Garg Nikhil
International Journal of Wildland Fire. 2021 30(6). p.410
Quantifying economic losses from wildfires in black pine afforestations of northern Spain
Alcasena Fermín J.,
Salis Michele,
Nauslar Nicholas J.,
Aguinaga A. Eduardo, Vega-García Cristina
Forest Policy and Economics. 2016 73 p.153
Assessing Landscape Scale Wildfire Exposure for Highly Valued Resources in a Mediterranean Area
Alcasena Fermín J.,
Salis Michele,
Ager Alan A.,
Arca Bachisio,
Molina Domingo, Spano Donatella
Environmental Management. 2015 55(5). p.1200
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
The way of winds
Dersam Sari Breitenfeldt, Dersam Scott W
Hunter Gatherer Research. 2019 5(3-4). p.157
A web-based wildfire simulator for operational applications
Arca Bachisio,
Ghisu Tiziano,
Casula Marcello,
Salis Michele, Duce Pierpaolo
International Journal of Wildland Fire. 2019 28(2). p.99
A Finite Volume Blowing Snow Model for Use With Variable Resolution Meshes
Marsh Christopher B.,
Pomeroy John W.,
Spiteri Raymond J., Wheater Howard S.
Water Resources Research. 2020 56(2).
100 Years of Progress in Applied Meteorology. Part III: Additional Applications
Haupt Sue Ellen,
Kosović Branko,
McIntosh Scott W.,
Chen Fei,
Miller Kathleen,
Shepherd Marshall,
Williams Marcus, Drobot Sheldon
Meteorological Monographs. 2019 59 p.24.1
Some Requirements for Simulating Wildland Fire Behavior Using Insight from Coupled Weather—Wildland Fire Models
Coen Janice
Fire. 2018 1(1). p.6
Evidence for Gap Flows in the Birch Creek Valley, Idaho
Finn D.,
Reese B.,
Butler B.,
Wagenbrenner N.,
Clawson K. L.,
Rich J.,
Russell E.,
Gao Z., Liu H.
Journal of the Atmospheric Sciences. 2016 73(12). p.4873
Developing a micrositing methodology for floating photovoltaic power plants
Korkmaz M. S., Sahin A. D.
International Journal of Environmental Science and Technology. 2023 20(7). p.7621
Forest Fire Driving Factors and Fire Risk Zoning Based on an Optimal Parameter Logistic Regression Model: A Case Study of the Liangshan Yi Autonomous Prefecture, China
Zhang Fuhuan,
Zhang Bin,
Luo Jun,
Liu Hui,
Deng Qingchun,
Wang Lei, Zuo Ziquan
Fire. 2023 6(9). p.336
A fire modeling approach to assess wildfire exposure of valued resources in central Navarra, Spain
Alcasena Fermín J.,
Salis Michele, Vega-García Cristina
European Journal of Forest Research. 2016 135(1). p.87
A High Resolution Coupled Fire–Atmosphere Forecasting System to Minimize the Impacts of Wildland Fires: Applications to the Chimney Tops II Wildland Event
Jiménez Pedro,
Muñoz-Esparza Domingo, Kosović Branko
Atmosphere. 2018 9(5). p.197
Handbook of Fire and the Environment (2023)
Restoration benefits of re-entry with resource objective wildfire on a ponderosa pine landscape in northern Arizona, USA
Huffman David W.,
Crouse Joseph E.,
Sánchez Meador Andrew J.,
Springer Judith D., Stoddard Michael T.
Forest Ecology and Management. 2018 408 p.16
Escoamento Atmosférico sobre uma Colina Isolada Revelado a Partir de Dados de um Veículo Aéreo não Tripulado (VANT)
Assireu Arcilan T.,
Mendonça José C.,
Freitas Ramon M.,
Passos Robson B.,
Pellegrini Cláudio C., Pimenta Felipe M.
Revista Brasileira de Meteorologia. 2019 34(2). p.227
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
Development and Evaluation of a Reynolds-Averaged Navier–Stokes Solver in WindNinja for Operational Wildland Fire Applications
Wagenbrenner ,
Forthofer ,
Page , Butler
Atmosphere. 2019 10(11). p.672
A Case Study on the Effects of Weather Conditions on Forest Fire Propagation Parameters in the Malekroud Forest in Guilan, Iran
Mohammadian Bishe Esmaeil,
Norouzi Mohammad,
Afshin Hossein, Farhanieh Bijan
Fire. 2023 6(7). p.251
Modeling Wind Direction Distributions Using a Diagnostic Model in the Context of Probabilistic Fire Spread Prediction
Quill Rachael,
Sharples Jason J.,
Wagenbrenner Natalie S.,
Sidhu Leesa A., Forthofer Jason M.
Frontiers in Mechanical Engineering. 2019 5
Infra-red line camera data-driven edge detector in UAV forest fire monitoring
De Vivo Francesco,
Battipede Manuela, Johnson Eric
Aerospace Science and Technology. 2021 111 p.106574
Wind and Fire Coupled Modelling—Part I: Literature Review
Węgrzyński Wojciech, Lipecki Tomasz
Fire Technology. 2018 54(5). p.1405
Predicting wildfire spread and behaviour in Mediterranean landscapes
Salis Michele,
Arca Bachisio,
Alcasena Fermin,
Arianoutsou Margarita,
Bacciu Valentina,
Duce Pierpaolo,
Duguy Beatriz,
Koutsias Nikos,
Mallinis Giorgos,
Mitsopoulos Ioannis,
Moreno José M.,
Pérez José Ramón,
Urbieta Itziar R.,
Xystrakis Fotios,
Zavala Gonzalo, Spano Donatella
International Journal of Wildland Fire. 2016 25(10). p.1015
Evaluating the Ability of FARSITE to Simulate Wildfires Influenced by Extreme, Downslope Winds in Santa Barbara, California
Zigner Katelyn,
Carvalho Leila M. V.,
Peterson Seth,
Fujioka Francis,
Duine Gert-Jan,
Jones Charles,
Roberts Dar, Moritz Max
Fire. 2020 3(3). p.29
Effect of weather forecast errors on fire growth model projections
Penman Trent D.,
Ababei Dan A.,
Cawson Jane G.,
Cirulis Brett A.,
Duff Thomas J.,
Swedosh William, Hilton James E.
International Journal of Wildland Fire. 2020 29(11). p.983
Applications of Machine Learning to Wind Engineering
Wu Teng, Snaiki Reda
Frontiers in Built Environment. 2022 8
Performance Evaluation of an Operational Rapid Response Fire Spread Forecasting System in the Southeast Mediterranean (Greece)
Giannaros Theodore M.,
Lagouvardos Konstantinos, Kotroni Vassiliki
Atmosphere. 2020 11(11). p.1264
Sub-canopy forest winds: understanding wind profiles for fire behaviour simulation
Moon K.,
Duff T.J., Tolhurst K.G.
Fire Safety Journal. 2019 105 p.320
