179 citations as recorded by crossref.

1. The Role of Fuel Characteristics and Heat Release Formulations in Coupled Fire-Atmosphere Simulation K. Shamsaei et al. 10.3390/fire6070264
2. Bayesian Physics Informed Neural Networks for data assimilation and spatio-temporal modelling of wildfires J. Dabrowski et al. 10.1016/j.spasta.2023.100746
3. Predicting the arrival of the unpredictable: An approach for foreseeing the transition to chaos of wildfire propagation J. Mampel Danta et al. 10.1016/j.cnsns.2024.108190
4. Uncertainty quantification of forecast error in coupled fire–atmosphere wildfire spread simulations: sensitivity to the spatial resolution U. Ciri et al. 10.1071/WF20149
5. Large eddy simulation of atypical wildland fire spread on leeward slopes C. Simpson et al. 10.1071/WF12072
6. Numerical Experiment on the Variation of Atmospheric Circulation due to Wild Fire H. Lee et al. 10.5322/JESI.2013.22.2.173
7. IRIS – Rapid response fire spread forecasting system: Development, calibration and evaluation T. Giannaros et al. 10.1016/j.agrformet.2019.107745
8. NU-WRF Aerosol Transport Simulation over West Africa: Effects of Biomass Burning on Smoke Aerosol Distribution T. Iguchi et al. 10.1175/JAMC-D-17-0278.1
9. Research on information fusion method for heat model and weather model based on HOGA-SVM C. Lu et al. 10.1007/s11042-022-13743-w
10. A multi-site passive approach to studying the emissions and evolution of smoke from prescribed fires R. El Asmar et al. 10.5194/acp-24-12749-2024
11. Simulation of wind-induced snow transport and sublimation in alpine terrain using a fully coupled snowpack/atmosphere model V. Vionnet et al. 10.5194/tc-8-395-2014
12. Atmospheric dynamics and fire-induced phenomena: Insights from a comprehensive analysis of the Sertã wildfire event I. Menezes et al. 10.1016/j.atmosres.2024.107649
13. 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. 10.3390/atmos9050197
14. Short-term fire front spread prediction using inverse modelling and airborne infrared images O. Rios et al. 10.1071/WF16031
15. Quic-Urb and Quic-Fire Extension to Complex Terrain: Development of a Terrain-Following Coordinate System D. Robinson et al. 10.2139/ssrn.4167750
16. Simulation of Forest Fires Smoke Using WRF-Chem Model with FINN Fire Emissions in Sumatera D. Nuryanto 10.1016/j.proenv.2015.03.010
17. Post-frontal Combustion Heat Modeling in DEVS-fire for Coupled Atmosphere-fire Simulation H. Xue et al. 10.1016/j.procs.2012.04.032
18. Model linkage to assess forest disturbance impacts on water quality: A wildfire case study using LANDIS(II)-VELMA K. Venable et al. 10.1016/j.envsoft.2024.106134
19. 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. 10.5194/nhess-14-2951-2014
20. Combustion dynamics of large-scale wildfires N. Liu et al. 10.1016/j.proci.2020.11.006
21. Effects of High‐Density Gradients on Wildland Fire Behavior in Coupled Atmosphere‐Fire Simulations A. Costes et al. 10.1029/2021MS002955
22. Factors influencing the development of violent pyroconvection. Part II: fire geometry and intensity R. Badlan et al. 10.1071/WF20041
23. Estimating Fuel Loads and Structural Characteristics of Shrub Communities by Using Terrestrial Laser Scanning C. Alonso-Rego et al. 10.3390/rs12223704
24. A Multi-Fidelity Framework for Wildland Fire Behavior Simulations over Complex Terrain M. Vanella et al. 10.3390/atmos12020273
25. Coupling Wind Dynamics into a DDDAS Forest Fire Propagation Prediction System C. Brun et al. 10.1016/j.procs.2012.04.120
26. The Fire and Smoke Model Evaluation Experiment—A Plan for Integrated, Large Fire–Atmosphere Field Campaigns S. Prichard et al. 10.3390/atmos10020066
27. Impact of geophysical and anthropogenic factors on wildfire size: a spatiotemporal data-driven risk assessment approach using statistical learning N. Masoudvaziri et al. 10.1007/s00477-021-02087-w
28. Meteorological Conditions Conducive to the Rapid Spread of the Deadly Wildfire in Eastern Attica, Greece K. Lagouvardos et al. 10.1175/BAMS-D-18-0231.1
29. Visualization of 3D forest fire spread based on the coupling of multiple weather factors Q. Meng et al. 10.1016/j.cag.2022.12.002
30. An integrated framework for habitat restoration in fire-prone areas. Part 2 – fire hazard assessment of the different land management scenarios R. Vaz et al. 10.1071/WF24044
31. Numerical investigation of atmosphere-fire interactions during high-impact wildland fire events in Greece S. Kartsios et al. 10.1016/j.atmosres.2020.105253
32. Resolving vorticity-driven lateral fire spread using the WRF-Fire coupled atmosphere–fire numerical model C. Simpson et al. 10.5194/nhess-14-2359-2014
33. Fire-spotting generated fires. Part I: The role of atmospheric stability V. Egorova et al. 10.1016/j.apm.2019.02.010
34. The effect of terrain-influenced winds on fire spread in QUIC-Fire D. Robinson et al. 10.1016/j.envsoft.2023.105727
35. Real time simulation of 2007 Santa Ana fires A. Kochanski et al. 10.1016/j.foreco.2012.12.014
36. Orthorectification of Helicopter-Borne High Resolution Experimental Burn Observation from Infra Red Handheld Imagers R. Paugam et al. 10.3390/rs13234913
37. Trending and emerging prospects of physics-based and ML-based wildfire spread models: a comprehensive review H. Singh et al. 10.1007/s11676-024-01783-x
38. Toward an integrated system for fire, smoke and air quality simulations A. Kochanski et al. 10.1071/WF14074
39. Data assimilation of dead fuel moisture observations from remote automated weather stations M. Vejmelka et al. 10.1071/WF14085
40. Fire-Modified Meteorology in a Coupled Fire–Atmosphere Model M. Peace et al. 10.1175/JAMC-D-14-0063.1
41. Fire behavior simulation of Xintian forest fire in 2022 using WRF-fire model H. Hu et al. 10.3389/ffgc.2024.1336716
42. Simulation of a Large Wildfire in a Coupled Fire-Atmosphere Model J. Filippi et al. 10.3390/atmos9060218
43. Machine Learning-Based Integration of High-Resolution Wildfire Smoke Simulations and Observations for Regional Health Impact Assessment Y. Zou et al. 10.3390/ijerph16122137
44. A Computationally Efficient Method for Updating Fuel Inputs for Wildfire Behavior Models Using Sentinel Imagery and Random Forest Classification A. DeCastro et al. 10.3390/rs14061447
45. Effects of spatial and temporal variation in environmental conditions on simulation of wildfire spread J. Hilton et al. 10.1016/j.envsoft.2015.01.015
46. Air quality impacts of observationally constrained biomass burning heat flux inputs S. Neyestani et al. 10.1016/j.scitotenv.2024.170321
47. Extension of the Balbi fire spread model to include the field scale conditions of shrubland fires F. Chatelon et al. 10.1071/WF21082
48. An Historical Review of the Simplified Physical Fire Spread Model PhyFire: Model and Numerical Methods M. Asensio et al. 10.3390/app13042035
49. WFNet: A hierarchical convolutional neural network for wildfire spread prediction W. Jiang et al. 10.1016/j.envsoft.2023.105841
50. Socio-demographic and health vulnerability in prescribed-burn exposed versus unexposed counties near the National Forest System M. Kondo et al. 10.1016/j.scitotenv.2021.150564
51. The Short-Term Impacts of the 2017 Portuguese Wildfires on Human Health and Visibility: A Case Study D. Lopes et al. 10.3390/fire7100342
52. Modelling the dynamic behaviour of junction fires with a coupled atmosphere–fire model C. Thomas et al. 10.1071/WF16079
53. Numerical study of fire spread using the level-set method with large eddy simulation incorporating detailed chemical kinetics gas-phase combustion model T. Chen et al. 10.1016/j.jocs.2017.10.022
54. Assimilation of Perimeter Data and Coupling with Fuel Moisture in a Wildland Fire–Atmosphere DDDAS J. Mandel et al. 10.1016/j.procs.2012.04.119
55. Development of a Fuel Model for Cistus spp. and Testing Its Fire Behavior Prediction Performance M. Athanasiou et al. 10.3390/fire6070247
56. Evaluation of wildland fire smoke plume dynamics and aerosol load using UV scanning lidar and fire–atmosphere modelling during the Mediterranean Letia 2010 experiment V. Leroy-Cancellieri et al. 10.5194/nhess-14-509-2014
57. Some Requirements for Simulating Wildland Fire Behavior Using Insight from Coupled Weather—Wildland Fire Models J. Coen 10.3390/fire1010006
58. Triggering Pyro-Convection in a High-Resolution Coupled Fire–Atmosphere Simulation F. Couto et al. 10.3390/fire7030092
59. Forest Fires in Madeira Island and the Fire Weather Created by Orographic Effects F. Couto et al. 10.3390/atmos12070827
60. Towards Spatially Explicit Quantification of Pre- and Postfire Fuels and Fuel Consumption from Traditional and Point Cloud Measurements A. Hudak et al. 10.1093/forsci/fxz085
61. An interpretable wildfire spreading model for real-time predictions K. Vogiatzoglou et al. 10.1016/j.jocs.2024.102435
62. The Brazilian developments on the Regional Atmospheric Modeling System (BRAMS 5.2): an integrated environmental model tuned for tropical areas S. Freitas et al. 10.5194/gmd-10-189-2017
63. Wildland fire emissions, carbon and climate: Characterizing wildland fuels D. Weise & C. Wright 10.1016/j.foreco.2013.02.037
64. QUIC-URB and QUIC-fire extension to complex terrain: Development of a terrain-following coordinate system D. Robinson et al. 10.1016/j.envsoft.2022.105579
65. Study on Sensitivities and Fire Area Errors in WRF-Fire Simulation to Different Resolution Data Set of Fuel and Terrain, and Surface Wind J. Seong et al. 10.14191/Atmos.2013.23.4.485
66. Modelling wildland fire propagation by tracking random fronts G. Pagnini & A. Mentrelli 10.5194/nhess-14-2249-2014
67. Upper Troposphere Smoke Injection From Large Areal Fires S. Redfern et al. 10.1029/2020JD034332
68. Atmospheric turbulence and wildland fires: a review W. Heilman 10.1071/WF22053
69. The distributed strategy for asynchronous observations in data-driven wildland fire spread prediction M. Zha et al. 10.1071/WF23165
70. Forest-fire aerosol–weather feedbacks over western North America using a high-resolution, online coupled air-quality model P. Makar et al. 10.5194/acp-21-10557-2021
71. Development of a Time–Height Profile Assimilation Technique for Large-Eddy Simulation D. Allaerts et al. 10.1007/s10546-020-00538-5
72. 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
73. Machine Learning Estimation of Fire Arrival Time from Level-2 Active Fires Satellite Data A. Farguell et al. 10.3390/rs13112203
74. QES-Fire: a dynamically coupled fast-response wildfire model M. Moody et al. 10.1071/WF21057
75. Wildfire plumes in the Western US are reaching greater heights and injecting more aerosols aloft as wildfire activity intensifies T. Wilmot et al. 10.1038/s41598-022-16607-3
76. A method for estimating the socioeconomic impact of Earth observations in wildland fire suppression decisions V. Herr et al. 10.1071/WF18237
77. 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 M. Rochoux et al. 10.5194/nhess-15-1721-2015
78. Improving air quality modelling systems by using on-line wild land fire forecasting tools coupled into WRF/Chem simulations over Europe R. Jose et al. 10.1016/j.uclim.2016.09.001
79. A GIS-based fire spread simulator integrating a simplified physical wildland fire model and a wind field model D. Prieto Herráez et al. 10.1080/13658816.2017.1334889
80. Overview of the Meso-NH model version 5.4 and its applications C. Lac et al. 10.5194/gmd-11-1929-2018
81. Air quality simulations of wildfires in the Pacific Northwest evaluated with surface and satellite observations during the summers of 2007 and 2008 F. Herron-Thorpe et al. 10.5194/acp-14-12533-2014
82. Scalability of a multi-physics system for forest fire spread prediction in multi-core platforms A. Farguell et al. 10.1007/s11227-018-2330-9
83. A comparison of smoke modelling tools used to mitigate air quality impacts from prescribed burning M. Johnson & F. Garcia-Menendez 10.1071/WF22172
84. Evaluating Wildfire Smoke Transport Within a Coupled Fire‐Atmosphere Model Using a High‐Density Observation Network for an Episodic Smoke Event Along Utah's Wasatch Front D. Mallia et al. 10.1029/2020JD032712
85. A web-based wildfire simulator for operational applications B. Arca et al. 10.1071/WF18078
86. Incorporating a Canopy Parameterization within a Coupled Fire-Atmosphere Model to Improve a Smoke Simulation for a Prescribed Burn D. Mallia et al. 10.3390/atmos11080832
87. Fire-spotting generated fires. Part II: The role of flame geometry and slope V. Egorova et al. 10.1016/j.apm.2021.11.010
88. Comparing Accuracy of Wildfire Spread Prediction Models under Different Data Deficiency Conditions J. Zhou et al. 10.3390/fire7040141
89. Adaptation of QES-Fire, a dynamically coupled fast response wildfire model for heterogeneous environments M. Moody et al. 10.1071/WF22190
90. An Accurate Fire‐Spread Algorithm in the Weather Research and Forecasting Model Using the Level‐Set Method D. Muñoz‐Esparza et al. 10.1002/2017MS001108
91. Assessment of ForeFire/Meso-NH for wildland fire/atmosphere coupled simulation of the FireFlux experiment J. Filippi et al. 10.1016/j.proci.2012.07.022
92. Coupled fire-atmosphere simulation of the 2018 Camp Fire using WRF-Fire K. Shamsaei et al. 10.1071/WF22013
93. Assessing the Fire-Modified Meteorology of the Grassland and Forest Intersection Zone in Mongolia Using the WRF-Fire Model Y. Wang et al. 10.3390/fire6110443
94. Wildfire Pyroconvection and CAPE: Buoyancy’s Drying and Atmospheric Intensification—Fort McMurray A. Bakhshaii et al. 10.3390/atmos11070763
95. A review of a new generation of wildfire–atmosphere modeling A. Bakhshaii & E. Johnson 10.1139/cjfr-2018-0138
96. Prediction of the Atmospheric Dustiness over the Black Sea Region Using the WRF-Chem Model A. Papkova et al. 10.3390/fluids6060201
97. Representing low-intensity fire sensible heat output in a mesoscale atmospheric model with a canopy submodel: a case study with ARPS-CANOPY (version 5.2.12) M. Kiefer et al. 10.5194/gmd-15-1713-2022
98. A review of firebrand studies on generation and transport R. Wadhwani et al. 10.1016/j.firesaf.2022.103674
99. A Multi-observable Approach to Address the Ill-Posed Nature of Inverse Fire Modeling Problems M. Price et al. 10.1007/s10694-015-0541-7
100. Coupled fire–atmosphere modeling of wildland fire spread using DEVS-FIRE and ARPS N. Dahl et al. 10.1007/s11069-015-1640-y
101. Simulations of the Waroona fire using the coupled atmosphere–fire model ACCESS-Fire M. Peace et al. 10.1071/ES22013
102. Fire behaviour and smoke modelling: model improvement and measurement needs for next-generation smoke research and forecasting systems Y. Liu et al. 10.1071/WF18204
103. A comparison of level set and marker methods for the simulation of wildland fire front propagation A. Bova et al. 10.1071/WF13178
104. Forest Fire Propagation Prediction Based on Overlapping DDDAS Forecasts T. Artès et al. 10.1016/j.procs.2015.05.294
105. Capturing Plume Rise and Dispersion with a Coupled Large-Eddy Simulation: Case Study of a Prescribed Burn N. Moisseeva & R. Stull 10.3390/atmos10100579
106. Improving WRF-Fire Wildfire Simulation Accuracy Using SAR and Time Series of Satellite-Based Vegetation Indices Y. Michael et al. 10.3390/rs14122941
107. Attention-Based Wildland Fire Spread Modeling Using Fire-Tracking Satellite Observations Y. Zou et al. 10.3390/fire6080289
108. Weather Research and Forecasting—Fire Simulated Burned Area and Propagation Direction Sensitivity to Initiation Point Location and Time A. DeCastro et al. 10.3390/fire5030058
109. Reaction intensity partitioning: a new perspective of the National Fire Danger Rating System Energy Release Component F. Fujioka et al. 10.1071/WF20025
110. Evaluation of WRF-SFIRE performance with field observations from the FireFlux experiment A. Kochanski et al. 10.5194/gmd-6-1109-2013
111. 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. 10.1016/j.cnsns.2019.02.002
112. Curvature effects in the dynamic propagation of wildfires J. Hilton et al. 10.1071/WF16070
113. Open source QGIS toolkit for the Advanced Research WRF modelling system D. Meyer & M. Riechert 10.1016/j.envsoft.2018.10.018
114. Dead Fuel Moisture Content Reanalysis Dataset for California (2000–2020) A. Farguell et al. 10.3390/fire7100358
115. 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. 10.5194/gmd-12-69-2019
116. Data-driven fire modeling: Learning first arrival times and model parameters with neural networks X. Tong & B. Quaife 10.1016/j.envsoft.2024.106253
117. Impact of Wildfires on Mineral Dust Emissions in Europe L. Menut et al. 10.1029/2022JD037395
118. Optimizing Smoke and Plume Rise Modeling Approaches at Local Scales D. Mallia et al. 10.3390/atmos9050166
119. Establishment of a wildfire forecasting system based on coupled weather–Wildfire modeling C. Rim et al. 10.1016/j.apgeog.2017.12.011
120. Coupled Atmosphere‐Fire Simulations of the Black Saturday Kilmore East Wildfires With the Unified Model J. Toivanen et al. 10.1029/2017MS001245
121. Thermal-image-based wildfire spread simulation using a linearized model of an advection–diffusion–reaction equation E. Kim et al. 10.1177/0037549712440519
122. Modelling Human-Fire Interactions: Combining Alternative Perspectives and Approaches A. Ford et al. 10.3389/fenvs.2021.649835
123. A high-resolution large-eddy simulation framework for wildland fire predictions using TensorFlow Q. Wang et al. 10.1071/WF22225
124. A sensitivity study of Surface Wind simulations over Coastal Ghana to selected Time Control and Nudging options in the Weather Research and Forecasting Model D. Dzebre et al. 10.1016/j.heliyon.2019.e01385
125. Subgrid-scale fire front reconstruction for ensemble coupled atmosphere-fire simulations of the FireFlux I experiment A. Costes et al. 10.1016/j.firesaf.2021.103475
126. A Systematic Review and Bibliometric Analysis of Wildland Fire Behavior Modeling J. Silva et al. 10.3390/fluids7120374
127. Aplicação dos Modelos de Interação Atmosférica e de Incêndio Florestal BRAMS-SFIRE no sul de Portugal I. Menezes et al. 10.1590/0102-77863630101
128. A rapid method for computing 3-D high-resolution vegetative canopy winds in weakly complex terrain M. Renault et al. 10.3389/feart.2023.1251056
129. Experimental and numerical fire behaviour analysis in Eucalyptus globulus trees M. Modarres et al. 10.1071/WF23131
130. Evolutionary-Statistical System: A parallel method for improving forest fire spread prediction G. Bianchini et al. 10.1016/j.jocs.2014.12.001
131. The FireFlux II experiment: a model-guided field experiment to improve understanding of fire–atmosphere interactions and fire spread C. Clements et al. 10.1071/WF18089
132. Evaluation of a data-driven wildland fire spread forecast model with spatially-distributed parameter estimation in simulations of the FireFlux I field-scale experiment C. Zhang et al. 10.1016/j.firesaf.2017.03.057
133. Wildfire Impact on Environmental Thermodynamics and Severe Convective Storms Y. Zhang et al. 10.1029/2019GL084534
134. Increased wildfire hazard along South-Central Chile under the RCP8.5 scenario as revealed by high-resolution modeling I. Ciocca et al. 10.1088/1748-9326/acba33
135. Capturing and interpreting wildfire spread dynamics: attention-based spatiotemporal models using ConvLSTM networks A. Masrur et al. 10.1016/j.ecoinf.2024.102760
136. Recent advances and applications of WRF–SFIRE J. Mandel et al. 10.5194/nhess-14-2829-2014
137. Modelling and simulation of wildland fire in the framework of the level set method A. Mentrelli & G. Pagnini 10.1007/s11587-016-0272-1
138. How can CFD contribute to the understanding of wildfire behaviour? G. ACCARY & D. MORVAN 10.1016/j.compfluid.2024.106322
139. Validating the effect of fuel moisture content by a multivalued operator in a simplified physical fire spread model M. Asensio et al. 10.1016/j.envsoft.2023.105710
140. Review of wildfire modeling considering effects on land surfaces D. Or et al. 10.1016/j.earscirev.2023.104569
141. Modeling Wildfire Spread with an Irregular Graph Network W. Jiang et al. 10.3390/fire5060185
142. Lagrangian simulation of smoke plume from fire and validation using ground-based lidar and aircraft measurements E. Ferrero et al. 10.1016/j.atmosenv.2019.06.049
143. Wildland fire modeling with an Eulerian level set method and automated calibration C. Lautenberger 10.1016/j.firesaf.2013.08.014
144. WRF-Fire: Coupled Weather–Wildland Fire Modeling with the Weather Research and Forecasting Model J. Coen et al. 10.1175/JAMC-D-12-023.1
145. Towards an atmosphere more favourable to firestorm development in Europe M. Senande-Rivera et al. 10.1088/1748-9326/ac85ce
146. Air quality and health impacts of the 2020 wildfires in California M. Carreras-Sospedra et al. 10.1186/s42408-023-00234-y
147. The Spotting Distribution of Wildfires J. Martin & T. Hillen 10.3390/app6060177
148. Chemical Tomography in a Fresh Wildland Fire Plume: A Large Eddy Simulation (LES) Study S. Wang et al. 10.1029/2021JD035203
149. Crown fire initiation of a thunderstorm N. McCarthy et al. 10.1071/WF21146
150. Wildfire and prescribed burning impacts on air quality in the United States D. Jaffe et al. 10.1080/10962247.2020.1749731
151. Multifidelity prediction in wildfire spread simulation: Modeling, uncertainty quantification and sensitivity analysis M. Valero et al. 10.1016/j.envsoft.2021.105050
152. Coupled Fire–Atmosphere Simulations of the Rocky River Fire Using WRF-SFIRE M. Peace et al. 10.1175/JAMC-D-15-0157.1
153. Global sensitivity analysis of fuel-type-dependent input variables of a simplified physical fire spread model M. Asensio-Sevilla et al. 10.1016/j.matcom.2020.01.001
154. The Weather Conditions for Desired Smoke Plumes at a FASMEE Burn Site Y. Liu et al. 10.3390/atmos9070259
155. Combined state and parameter estimation in level-set methods H. Yu et al. 10.1016/j.jcp.2019.108950
156. Summary of workshop large outdoor fires and the built environment S. Manzello et al. 10.1016/j.firesaf.2018.07.002
157. Data resolution effects on a coupled data driven system for forest fire propagation prediction À. Farguell et al. 10.1016/j.procs.2017.05.044
158. Turbulence and fire-spotting effects into wild-land fire simulators I. Kaur et al. 10.1016/j.cnsns.2016.03.003
159. Interaction of the flow and flame dynamics of a line wildfire in the atmospheric wake flow of a ridge Y. Sun et al. 10.1063/5.0203409
160. Analysis of Fire-Induced Circulations during the FireFlux2 Experiment J. Benik et al. 10.3390/fire6090332
161. Experimental Design of a Prescribed Burn Instrumentation A. Kochanski et al. 10.3390/atmos9080296
162. Modeling Wildfire Smoke Feedback Mechanisms Using a Coupled Fire‐Atmosphere Model With a Radiatively Active Aerosol Scheme A. Kochanski et al. 10.1029/2019JD030558
163. Smoke plume height measurement of prescribed burns in the south-eastern United States Y. Liu et al. 10.1071/WF11072
164. Integration of a Coupled Fire-Atmosphere Model Into a Regional Air Quality Forecasting System for Wildfire Events A. Kochanski et al. 10.3389/ffgc.2021.728726
165. Software-Based Simulations of Wildfire Spread and Wind-Fire Interaction M. Ghodrat et al. 10.3390/fire6010012
166. The cost of operational complexity: A causal assessment of pre-fire mitigation and wildfire suppression J. Young et al. 10.1016/j.forpol.2024.103351
167. Analysis of methods for assimilating fire perimeters into a coupled fire-atmosphere model A. Kochanski et al. 10.3389/ffgc.2023.1203578
168. Quantifying rare events in spotting: How far do wildfires spread? A. Mendez & M. Farazmand 10.1016/j.firesaf.2022.103630
169. Experimental study on vertical evacuation capacity of evacuation slide in road shield tunnel B. Xie et al. 10.1016/j.tust.2019.103250
170. A Case Study Featuring the Time Evolution of a Fire‐Induced Plume Jet Over the Rum Creek Fire: Mechanisms, Processes, and Dynamical Interplay E. Strobach et al. 10.1029/2023JD040483
171. Wildland fire emissions, carbon, and climate: Plume rise, atmospheric transport, and chemistry processes W. Heilman et al. 10.1016/j.foreco.2013.02.001
172. Isolating and Investigating Updrafts Induced by Wildland Fires Using an Airborne Doppler Lidar During FIREX‐AQ E. Strobach et al. 10.1029/2023JD038809
173. Remote sensing-based operational modeling of fuel ignitability in Hyrcanian mixed forest, Iran H. Adab et al. 10.1007/s11069-021-04678-w
174. Establishment of a wildfire forecasting system based on coupled weather–Wildfire modeling C. Rim et al. 10.1016/j.apgeog.2017.12.011
175. Wildfire–atmosphere interaction index for extreme-fire behaviour T. Artés et al. 10.5194/nhess-22-509-2022
176. Sensitivity of Pyrocumulus Convection to Tree Mortality During the 2020 Creek Fire in California J. Lee et al. 10.1029/2023GL104193
177. Sensitivity of Burned Area and Fire Radiative Power Predictions to Containment Efforts, Fuel Density, and Fuel Moisture Using WRF‐Fire F. Turney et al. 10.1029/2023JD038873
178. Sensitivity Experiments of the Local Wildland Fire with WRF-Fire Module S. Lai et al. 10.1007/s13143-019-00160-7
179. LES Simulation of Wind-Driven Wildfire Interaction with Idealized Structures in the Wildland-Urban Interface M. Ghaderi et al. 10.3390/atmos12010021