53 citations as recorded by crossref.

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2. Fire weather conditions and fire–atmosphere interactions observed during low-intensity prescribed fires – RxCADRE 2012 C. Clements et al. https://doi.org/10.1071/WF14173
3. Recent advances and applications of WRF–SFIRE J. Mandel et al. https://doi.org/10.5194/nhess-14-2829-2014
4. Modeling Low Intensity Fires: Lessons Learned from 2012 RxCADRE R. Linn et al. https://doi.org/10.3390/atmos12020139
5. Experimental Design of a Prescribed Burn Instrumentation A. Kochanski et al. https://doi.org/10.3390/atmos9080296
6. Interactions Between a High-Intensity Wildfire and an Atmospheric Hydraulic Jump in the Case of the 2023 Lahaina Fire C. Ehrke et al. https://doi.org/10.3390/atmos15121424
7. The Trade-offs between Wildfires and Prescribed Fires: A Case Study for 2016 Gatlinburg Wildfires Z. Li et al. https://doi.org/10.1021/acsestair.4c00233
8. Effects of High‐Density Gradients on Wildland Fire Behavior in Coupled Atmosphere‐Fire Simulations A. Costes et al. https://doi.org/10.1029/2021MS002955
9. Coupled Fire–Atmosphere Simulations of the Rocky River Fire Using WRF-SFIRE M. Peace et al. https://doi.org/10.1175/JAMC-D-15-0157.1
10. Extension of the Balbi fire spread model to include the field scale conditions of shrubland fires F. Chatelon et al. https://doi.org/10.1071/WF21082
11. Wind and plume thermodynamic structures during low-intensity subcanopy fires D. Seto et al. https://doi.org/10.1016/j.agrformet.2014.07.006
12. Prescribed Burns and UAV Drone Analysis: Towards A Coupled Wind-Fire Spread Model. F. Gill et al. https://doi.org/10.1088/1742-6596/2885/1/012071
13. Influence of fire-induced heat and moisture release on pyro-convective cloud dynamics during the Australian New Year’s Event: a study using convection-resolving simulations and satellite data L. Muth et al. https://doi.org/10.5194/acp-25-16027-2025
14. Atmospheric turbulence and wildland fires: a review W. Heilman https://doi.org/10.1071/WF22053
15. Sensitivity of Burned Area and Fire Radiative Power Predictions to Containment Efforts, Fuel Density, and Fuel Moisture Using WRF‐Fire F. Turney et al. https://doi.org/10.1029/2023JD038873
16. Resolving vorticity-driven lateral fire spread using the WRF-Fire coupled atmosphere–fire numerical model C. Simpson et al. https://doi.org/10.5194/nhess-14-2359-2014
17. Trending and emerging prospects of physics-based and ML-based wildfire spread models: a comprehensive review H. Singh et al. https://doi.org/10.1007/s11676-024-01783-x
18. IRIS – Rapid response fire spread forecasting system: Development, calibration and evaluation T. Giannaros et al. https://doi.org/10.1016/j.agrformet.2019.107745
19. Wildfire smoke-plume rise: a simple energy balance parameterization N. Moisseeva & R. Stull https://doi.org/10.5194/acp-21-1407-2021
20. Fire behaviour and smoke modelling: model improvement and measurement needs for next-generation smoke research and forecasting systems Y. Liu et al. https://doi.org/10.1071/WF18204
21. A method for estimating the socioeconomic impact of Earth observations in wildland fire suppression decisions V. Herr et al. https://doi.org/10.1071/WF18237
22. Subgrid-scale fire front reconstruction for ensemble coupled atmosphere-fire simulations of the FireFlux I experiment A. Costes et al. https://doi.org/10.1016/j.firesaf.2021.103475
23. Some Requirements for Simulating Wildland Fire Behavior Using Insight from Coupled Weather—Wildland Fire Models J. Coen https://doi.org/10.3390/fire1010006
24. 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. https://doi.org/10.5194/gmd-15-1713-2022
25. Reconstruction of the Spring Hill Wildfire and Exploration of Alternate Management Scenarios Using QUIC-Fire M. Gallagher et al. https://doi.org/10.3390/fire4040072
26. Prescribed Fire Simulation with Dynamic Ignitions Using Data from UAS-based Sensing X. Hu et al. https://doi.org/10.1080/17477778.2023.2217335
27. Comparative Analysis of Wildfire Spread Models Under Differing Environmental Conditions in Central Europe K. Kuhnen et al. https://doi.org/10.3390/fire9070311
28. Capturing Plume Rise and Dispersion with a Coupled Large-Eddy Simulation: Case Study of a Prescribed Burn N. Moisseeva & R. Stull https://doi.org/10.3390/atmos10100579
29. Atmospheric dynamics and fire-induced phenomena: Insights from a comprehensive analysis of the Sertã wildfire event I. Menezes et al. https://doi.org/10.1016/j.atmosres.2024.107649
30. Fire emissions modulate wildfire spread through aerosol-meteorology feedbacks: Insights from a novel WRF-Chem/Fire coupled model Z. He et al. https://doi.org/10.1016/j.atmosenv.2026.121772
31. Surface-layer turbulence associated with a fast spreading grass fire S. Zhong et al. https://doi.org/10.1016/j.agrformet.2024.110000
32. Wind and Slope Effects on Wildland Fire Spread: A Review of Experimental, Empirical, Mathematical, and Physics-Based Models S. Hayajneh et al. https://doi.org/10.3390/fire9030100
33. Combined estimation of fire perimeters and fuel adjustment factors in FARSITE for forecasting wildland fire propagation T. Zhou et al. https://doi.org/10.1016/j.firesaf.2020.103167
34. Performance Evaluation of an Operational Rapid Response Fire Spread Forecasting System in the Southeast Mediterranean (Greece) T. Giannaros et al. https://doi.org/10.3390/atmos11111264
35. A Numerical Study of Atmospheric Perturbations Induced by Heat From a Wildland Fire: Sensitivity to Vertical Canopy Structure and Heat Source Strength M. Kiefer et al. https://doi.org/10.1002/2017JD027904
36. The FireFlux II experiment: a model-guided field experiment to improve understanding of fire–atmosphere interactions and fire spread C. Clements et al. https://doi.org/10.1071/WF18089
37. A response to comments of Cruz et al. on: ‘Simulation study of grass fire using a physics-based model: striving towards numerical rigour and the effect of grass height on the rate of spread’ D. Sutherland et al. https://doi.org/10.1071/WF20091
38. Effects of spatial and temporal variation in environmental conditions on simulation of wildfire spread J. Hilton et al. https://doi.org/10.1016/j.envsoft.2015.01.015
39. Comparison of Lightning Forecasts from the High-Resolution Rapid Refresh Model to Geostationary Lightning Mapper Observations B. Blaylock & J. Horel https://doi.org/10.1175/WAF-D-19-0141.1
40. A review of a new generation of wildfire–atmosphere modeling A. Bakhshaii & E. Johnson https://doi.org/10.1139/cjfr-2018-0138
41. Uncertainty quantification of forecast error in coupled fire–atmosphere wildfire spread simulations: sensitivity to the spatial resolution U. Ciri et al. https://doi.org/10.1071/WF20149
42. LES Simulation of Wind-Driven Wildfire Interaction with Idealized Structures in the Wildland-Urban Interface M. Ghaderi et al. https://doi.org/10.3390/atmos12010021
43. Effect of Small-Scale Wildfires on the Air Parameters near the Burning Centers E. Loboda et al. https://doi.org/10.3390/atmos12010075
44. Analysis of Fire-Induced Circulations during the FireFlux2 Experiment J. Benik et al. https://doi.org/10.3390/fire6090332
45. The Fire and Smoke Model Evaluation Experiment—A Plan for Integrated, Large Fire–Atmosphere Field Campaigns S. Prichard et al. https://doi.org/10.3390/atmos10020066
46. Numerical investigation of atmosphere-fire interactions during high-impact wildland fire events in Greece S. Kartsios et al. https://doi.org/10.1016/j.atmosres.2020.105253
47. Fire behavior simulation of Xintian forest fire in 2022 using WRF-fire model H. Hu et al. https://doi.org/10.3389/ffgc.2024.1336716
48. Establishment of a wildfire forecasting system based on coupled weather–Wildfire modeling C. Rim et al. https://doi.org/10.1016/j.apgeog.2017.12.011
49. The organization and field experimentation studies of wildfires. Experience and practice E. Loboda et al. https://doi.org/10.1088/1742-6596/2389/1/012013
50. Neural network predictions of pollutant emissions from open burning of crop residues: Application to air quality forecasts in southern China X. Feng et al. https://doi.org/10.1016/j.atmosenv.2019.02.002
51. Reconstructing Fire Progression from UAS Observations to Evaluate Bioaerosol Transport Sensitivity in Coupled Fire–Atmosphere Simulations I. Forrest et al. https://doi.org/10.3390/fire9050179
52. Wildland fire entrainment: The missing link between wildland fire and its environment R. Linn et al. https://doi.org/10.1093/pnasnexus/pgae576
53. Coupled fire–atmosphere modeling of wildland fire spread using DEVS-FIRE and ARPS N. Dahl et al. https://doi.org/10.1007/s11069-015-1640-y