Towards Data-Driven Operational Wildfire Spread Modeling: A Report of the NSF-Funded WIFIRE Workshop
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Kayo Ide | Ilkay Altintas | Raymond A. de Callafon | Albert Simeoni | Jan Mandel | Mark A. Finney | Jean Baptiste Filippi | Arnaud Trouvé | Mélanie C. Rochoux | Michael J. Gollner | Mary Ann Jenkins | Jessica Block | Evan Ellicott | Craig B. Clements | R. D. Callafon | J. Mandel | K. Ide | J. Filippi | I. Altintas | M. Finney | A. Simeoni | C. Lautenberger | M. Gollner | M. Rochoux | E. Ellicott | M. Jenkins | C. Clements | A. Trouvé | Anna Cortes | Daniel Jimenez | Christopher Lautenberger | J. Block | Anna Cortés | D. Jimenez | R. A. Callafon | Daniel Jimenez
[1] R. Rothermel. A Mathematical Model for Predicting Fire Spread in Wildland Fuels , 2017 .
[2] Joe H. Scott,et al. Standard Fire Behavior Fuel Models: A Comprehensive Set for Use with Rothermel?s Surface Fire Spread Model , 2015 .
[3] T. Loboda,et al. Santa Ana winds and predictors of wildfire progression in southern California. , 2014, International journal of wildland fire.
[4] Charles W. McHugh,et al. 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 , 2014 .
[5] Jan Mandel,et al. Overview of the 2013 FireFlux II grass fire field experiment , 2014 .
[6] R. Kremens,et al. An experimental approach to the evaluation of prescribed fire behavior , 2014 .
[7] Arnaud Trouvé,et al. 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 , 2014 .
[8] R. Ottmar. Wildland fire emissions, carbon, and climate: Modeling fuel consumption , 2014 .
[9] J. Filippi,et al. Multi-scale Simulation of a Very Large Fire Incident. Computation From the Combustion to the Atmospheric Meso-scale , 2013 .
[10] G. Achtemeier. Field validation of a free-agent cellular automata model of fire spread with fire–atmosphere coupling , 2013 .
[11] Tomàs Margalef,et al. Dynamic Data-Driven Genetic Algorithm for forest fire spread prediction , 2012, J. Comput. Sci..
[12] Tomàs Margalef,et al. Evolutionary Optimisation Techniques to Estimate Input Parameters in Environmental Emergency Modelling , 2011, Computational Optimization and Applications in Engineering and Industry.
[13] J. Mandel,et al. Ignition from a Fire Perimeter in a WRF Wildland Fire Model , 2011, 1107.2675.
[14] J. Mandel,et al. Coupled atmosphere-wildland fire modeling with WRF 3.3 and SFIRE 2011 , 2011, 1102.1343.
[15] Xiaolin Hu,et al. Analysis and Quantification of Data Assimilation based on Sequential Monte Carlo Methods for wildfire spread simulation , 2010, Int. J. Model. Simul. Sci. Comput..
[16] A. Sullivan. Wildland surface fire spread modelling, 1990–2007. 3: Simulation and mathematical analogue models , 2009 .
[17] M. Rollins. LANDFIRE: a nationally consistent vegetation, wildland fire, and fuel assessment , 2009 .
[18] Daniel Cariolle,et al. Coupled Atmosphere‐Wildland Fire Modelling , 2009 .
[19] Xiaolin Hu,et al. Towards applications of particle filters in wildfire spread simulation , 2008, 2008 Winter Simulation Conference.
[20] Kevin G. Tolhurst,et al. Phoenix: Development and Application of a Bushfire Risk Management Tool , 2008 .
[21] Craig J. Johns,et al. A two-stage ensemble Kalman filter for smooth data assimilation , 2008, Environmental and Ecological Statistics.
[22] Minjeong Kim,et al. Data assimilation for wildland fires , 2007, IEEE Control Systems.
[23] Jonathan D. Beezley,et al. A wildland fire model with data assimilation , 2007, Math. Comput. Simul..
[24] Scott L. Goodrick,et al. Observing the Dynamics of Wildland Grass Fires: FireFlux—A Field Validation Experiment , 2007 .
[25] A. Sullivan,et al. Wildland surface fire spread modelling, 1990–2007. 2: Empirical and quasi-empirical models , 2007, 0706.4128.
[26] A. Sullivan. A review of wildland fire spread modelling, 1990-present, 1: Physical and quasi-physical models , 2007, 0706.3074.
[27] Jonathan D. Beezley,et al. Morphing ensemble Kalman filters , 2007, ArXiv.
[28] W. Mell,et al. A physics-based approach to modelling grassland fires , 2007 .
[29] Miguel G. Cruz,et al. Evaluating a model for predicting active crown fire rate of spread using wildfire observations , 2006 .
[30] Tomàs Margalef,et al. Improved Prediction Methods for Wildfires Using High Performance Computing: A Comparison , 2006, International Conference on Computational Science.
[31] Y. Kaufman,et al. Retrieval of biomass combustion rates and totals from fire radiative power observations: FRP derivation and calibration relationships between biomass consumption and fire radiative energy release , 2005 .
[32] Philip Cunningham,et al. Numerical simulations of grass fires using a coupled atmosphere–fire model: Basic fire behavior and dependence on wind speed , 2005 .
[33] Mark A. Finney,et al. The challenge of quantitative risk analysis for wildland fire , 2005 .
[34] Tomàs Margalef,et al. S2F2M - Statistical System for Forest Fire Management , 2005, International Conference on Computational Science.
[35] Martin E. Alexander,et al. Overview of the International Crown Fire Modelling Experiment (ICFME) , 2004 .
[36] Dominique Morvan,et al. Modeling the propagation of a wildfire through a Mediterranean shrub using a multiphase formulation , 2004 .
[37] Lucas S. Bair,et al. Prescribed Fire and Public Support: Knowledge Gained, Attitudes Changed in Florida , 2001, Journal of Forestry.
[38] Dominique Morvan,et al. Modeling of fire spread through a forest fuel bed using a multiphase formulation , 2001 .
[39] Dominique Morvan,et al. Firespread through fuel beds: Modeling of wind-aided fires and induced hydrodynamics , 2000 .
[40] Martin E. Alexander,et al. Elliptical-fire perimeter- and area-intensity distributions , 1992 .
[41] Ian R. Noble,et al. McArthur's fire-danger meters expressed as equations , 1980 .
[42] C. E. Van Wagner,et al. Conditions for the start and spread of crown fire , 1977 .
[43] D. E. Hall,et al. Integrated Active Fire Retrievals and Biomass Burning Emissions Using Complementary Near-Coincident Ground, Airborne and Spaceborne Sensor Data , 2014 .
[44] Helcio R. B. Orlande,et al. Application of particle filters to regional-scale wildfire spread , 2014 .
[45] Arnaud Trouvé,et al. Towards predictive simulation of wildfire spread at regional scale using ensemble-based data assimilation to correct the fire front position , 2014 .
[46] Didier Lucor,et al. Interactive comment on “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” , 2014 .
[47] J. Filippi,et al. Assessment of ForeFire/Meso-NH for wildland fire/atmosphere coupled simulation of the FireFlux experiment , 2013 .
[48] Arnaud Trouvé,et al. Regional-scale simulations of wildland fire spread informed by real-time flame front observations , 2013 .
[49] Faith R. Kearns,et al. Urban–wildland fires: how California and other regions of the US can learn from Australia , 2009 .
[50] M. Finney. FARSITE : Fire Area Simulator : model development and evaluation , 1998 .
[51] N. Cheney,et al. The Influence of Fuel, Weather and Fire Shape Variables on Fire-Spread in Grasslands , 1993 .
[52] D. Ward,et al. Smoke emissions from wildland fires , 1991 .