Coupled atmosphere-wildland fire modeling with WRF-Fire
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In this paper, the authors describe the physical model, numerical algorithms, and software structure of a fire spread model, implemented by the level-set method, coupled with the Weather Research and Forecasting model.Abstract:
We describe the physical model, numerical algorithms, and software structure of WRF-Fire. WRF-Fire consists of a fire-spread model, implemented by the level-set method, coupled with the Weather Research and Forecasting model. In every time step, the fire model inputs the surface wind, which drives the fire, and outputs the heat flux from the fire into the atmosphere, which in turn influences the atmosphere. The level-set method allows submesh representation of the burning region and flexible implementation of various ignition modes. WRF-Fire is distributed as a part of WRF and it uses the WRF parallel infrastructure for parallel computing.read more
Citations
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Journal ArticleDOI
WRF-Fire: Coupled Weather–Wildland Fire Modeling with the Weather Research and Forecasting Model
Janice L. Coen,Marques Cameron,John Michalakes,Edward G. Patton,Philip J. Riggan,Kara M. Yedinak +5 more
TL;DR: In this paper, a wildland fire-behavior module, named WRF-fire, was integrated into the Weather Research and Forecasting (WRF) public domain numerical weather prediction model.
Journal ArticleDOI
Overview of the Meso-NH model version 5.4 and its applications
Christine Lac,Jean-Pierre Chaboureau,Valéry Masson,Jean Pierre Pinty,Pierre Tulet,Juan Escobar,Maud Leriche,Christelle Barthe,B. Aouizerats,Clotilde Augros,Pierre Aumond,Pierre Aumond,Franck Auguste,Peter Bechtold,Peter Bechtold,Sarah Berthet,Soline Bielli,Frédéric Bosseur,Olivier Caumont,Jean-Martial Cohard,Jean-Martial Cohard,Jeanne Colin,Fleur Couvreux,Joan Cuxart,Joan Cuxart,Gaëlle Delautier,Thibaut Dauhut,Véronique Ducrocq,Jean Baptiste Filippi,Didier Gazen,Olivier Geoffroy,François Gheusi,Rachel Honnert,Jean Philippe Lafore,Cindy Lebeaupin Brossier,Quentin Libois,Thibaut Lunet,Céline Mari,Tomislav Maric,Patrick Mascart,Maxime Mogé,G. Molinié,G. Molinié,Olivier Nuissier,Florian Pantillon,Philippe Peyrillé,Julien Pergaud,Emilie Perraud,Joris Pianezze,Joris Pianezze,Jean-Luc Redelsperger,Didier Ricard,Evelyne Richard,Sébastien Riette,Quentin Rodier,Robert Schoetter,Léo Seyfried,Joël Stein,Joël Stein,Karsten Suhre,Karsten Suhre,Marie Taufour,O. Thouron,Sandra Turner,Antoine Verrelle,Benoît Vié,Florian Visentin,Vincent Vionnet,Philippe Wautelet +68 more
TL;DR: The Meso-NH model as discussed by the authors is an atmospheric non hydrostatic research model that is applied to a broad range of resolutions, from synoptic to turbulent scales, and is designed for studies of physics and chemistry.
Journal ArticleDOI
Simulation of wind-induced snow transport and sublimation in alpine terrain using a fully coupled snowpack/atmosphere model
Vincent Vionnet,Eric Martin,Valéry Masson,Gilbert Guyomarc'h,F. Naaim-Bouvet,Alexander Prokop,Yves Durand,Christine Lac +7 more
TL;DR: In this article, a new numerical model is developed to gain understanding on the complex processes that drive the redistribution of snow, which directly cou- ples the detailed snowpack model Crocus with the atmo-spheric model Meso-NH.
Journal ArticleDOI
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.
TL;DR: A wildfire spread simulator combined with an ensemble-based DA algorithm is therefore a promising approach to reduce uncertainties in the forecast position of the fire front and to introduce a paradigm-shift in the wildfire emergency response.
Journal ArticleDOI
Wildland fire emissions, carbon and climate: Characterizing wildland fuels
David R. Weise,Clinton S. Wright +1 more
TL;DR: In this paper, the type, amount, characteristics, and condition of wildland fuels affect combustion and emissions during wildland and prescribed fires, and a fundamental understanding of the relationships between fuel characteristics, fuel conditions, fire occurrence, combustion dynamics, and GHG/A/BC emissions is needed to aid strategy development to mitigate the expected effects of climate change.
References
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Book
Level Set Methods and Dynamic Implicit Surfaces
Stanley Osher,Ronald Fedkiw +1 more
TL;DR: A student or researcher working in mathematics, computer graphics, science, or engineering interested in any dynamic moving front, which might change its topology or develop singularities, will find this book interesting and useful.
Book
Atmospheric Modeling, Data Assimilation and Predictability
TL;DR: A comprehensive text and reference work on numerical weather prediction, first published in 2002, covers not only methods for numerical modeling, but also the important related areas of data assimilation and predictability.
Book
Standard Fire Behavior Fuel Models: A Comprehensive Set for Use with Rothermel?s Surface Fire Spread Model
Joe H. Scott,Robert E. Burgan +1 more
TL;DR: In this paper, a new set of standard fire behavior fuel models for use with Rothermel's surface fire spread model and the relationship of the new set to the original set of 13 fire behaviour fuel models is described.
Journal ArticleDOI
Description of a coupled atmosphere–fire model
Terry L. Clark,Janice L. Coen +1 more
TL;DR: In this paper, a coupled fire-atmosphere model that uses a sophisticated high-resolution non- hydrostatic numerical mesoscale model to predict the local winds which are then used as input to the prediction of fire spread is presented.