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Related papers: WRF fire simulation coupled with a fuel moisture m…

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Fuel moisture is a major influence on the behavior of wildland fires and an important underlying factor in fire risk. We present a method to assimilate spatially sparse fuel moisture observations from remote automatic weather stations…

Atmospheric and Oceanic Physics · Physics 2014-11-05 Martin Vejmelka , Adam K. Kochanski , Jan Mandel

Atmospheric pollution regulations have emerged as a dominant obstacle to prescribed burns. Thus, forecasting the pollution caused by wildland fires has acquired high importance. WRF and SFIRE model wildland fire spread in a two-way…

Atmospheric and Oceanic Physics · Physics 2014-11-05 Adam K. Kochanski , Jonathan D. Beezley , Jan Mandel , Craig B. Clements

We present a methodology to change the state of the Weather Research Forecasting (WRF) model coupled with the fire spread code SFIRE, based on Rothermel's formula and the level set method, and with a fuel moisture model. The fire perimeter…

Atmospheric and Oceanic Physics · Physics 2012-08-07 Jan Mandel , Jonathan D. Beezley , Adam K. Kochanski , Volodymyr Y. Kondratenko , Minjeong Kim

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…

Atmospheric and Oceanic Physics · Physics 2012-03-27 Jan Mandel , Jonathan D. Beezley , Adam K. Kochanski

We describe the coupled atmosphere-wildfire model WRF-Fire, which is distributed as a part of WRF. The fire module is based on a fire-spread model, implemented by the level-set method. In each time step, the fire module takes the wind as…

Atmospheric and Oceanic Physics · Physics 2011-02-01 Jan Mandel , Jonathan D. Beezley , Adam K. Kochanski

This study presents a probabilistic surrogate model for localized wildfire spread based on a conditional flow matching algorithm. The approach models fire progression as a stochastic process by learning the conditional distribution of fire…

Machine Learning · Computer Science 2026-03-31 Bryan Shaddy , Haitong Qin , Brianna Binder , James Haley , Riya Duddalwar , Kyle Hilburn , Assad Oberai

The current WRF-Fire model starts the fire from a given ignition point at a given time. We want to start the model from a given fire perimeter at a given time instead. However, the fuel balance and the state of the atmosphere depend on the…

Atmospheric and Oceanic Physics · Physics 2011-07-20 Volodymyr Y. Kondratenko , Jonathan D. Beezley , Adam K. Kochanski , Jan Mandel

We present an overview of a modeling environment, consisting of a coupled atmosphere-wildfire model, utilities for visualization, data processing, and diagnostics, open source software repositories, and a community wiki. The fire model,…

There are many wildfire behaviors of increasing relevance that are outside the forecast capabilities of even the most sophisticated operational fire spread and fire behavior model. The limitations of the operational models are due primarily…

Atmospheric and Oceanic Physics · Physics 2013-03-26 Adam K. Kochanski , Mary Ann Jenkins , Steven K. Krueger , Jan Mandel , Jonathan D. Beezley

A wildland fire model based on semi-empirical relations for the spread rate of a surface fire and post-frontal heat release is coupled with the Weather Research and Forecasting atmospheric model (WRF). The propagation of the fire front is…

Atmospheric and Oceanic Physics · Physics 2015-08-03 Jan Mandel , Jonathan D. Beezley , Soham Chakraborty , Janice L. Coen , Craig C. Douglas , Anthony Vodacek , Zhen Wang

The current fuel moisture content (FMC) subsystems in WRF-SFIRE and its workflow system WRFx use a time-lag differential equation model with assimilation of data from FMC sensors on Remote Automated Weather Stations (RAWS) by the extended…

Machine Learning · Computer Science 2023-03-07 J. Mandel , J. Hirschi , A. K. Kochanski , A. Farguell , J. Haley , D. V. Mallia , B. Shaddy , A. A. Oberai , K. A. Hilburn

This study uses in-situ measurements collected during the FireFlux field experiment to evaluate and improve the performance of coupled atmosphere-fire model WRF-Sfire. The simulation by WRF-Sfire of the experimental burn shows that…

Atmospheric and Oceanic Physics · Physics 2013-02-08 Adam K. Kochanski , Mary Ann Jenkins , Jan Mandel , Jonathan D. Beezley , Craig B. Clements , Steven Krueger

Large fires can inject smoke into the upper troposphere and lower stratosphere. Detailed fire simulations allow for assessment of how local weather interacts with these fires and affects smoke lofting. In this study, we employ the fire…

Atmospheric and Oceanic Physics · Physics 2022-02-09 Stephanie Redfern , Julie K. Lundquist , Owen B. Toon , Domingo Muñoz-Esparza , Charles G. Bardeen , Branko Kosović

Anthropogenic climate change has increased the probability, severity, and duration of heat waves and droughts, subsequently escalating the risk of wildfires. Mathematical and computational models can enhance our understanding of wildfire…

Fluid Dynamics · Physics 2025-03-13 Adrián Navas-Montilla , Cordula Reisch , Pablo Diaz , Ilhan Özgen-Xian

In this study, we describe how WRF-Sfire is coupled with WRF-Chem to construct WRFSC, an integrated forecast system for wildfire and smoke prediction. The integrated forecast system has the advantage of not requiring a simple plume-rise…

Atmospheric and Oceanic Physics · Physics 2016-05-05 Adam K. Kochanski , Mary Ann Jenkins , Kara Yedinak , Jan Mandel , Jonathan D. Beezley , Brian Lamb

We are developing a wildland fire model based on semi-empirical relations that estimate the rate of spread of a surface fire and post-frontal heat release, coupled with WRF, the Weather Research and Forecasting atmospheric model. A level…

Atmospheric and Oceanic Physics · Physics 2009-01-09 Jonathan D. Beezley , Soham Chakraborty , Janice L. Coen , Craig C. Douglas , Jan Mandel , Anthony Vodacek , Zhen Wang

The ability to forecast grass fire spread could be of a great importance for agencies making decisions about prescribed burns. However, the usefulness of the models used for fire-spread predictions is limited by the time required for…

Atmospheric and Oceanic Physics · Physics 2011-12-23 Adam K. Kochanski , S. K. Krueger , M. A. Jenkins , J. Mandel , J. D. Beezley

Increasing wildfire occurrence has spurred growing interest in wildfire spread prediction. However, even the most complex wildfire models diverge from observed progression during multi-day simulations, motivating need for data assimilation.…

WRF-Fire consists of the WRF (Weather Research and Forecasting Model) coupled with a fire spread model, based on the level-set method. We describe a preliminary application of WRF-Fire to a forest fire in Bulgaria, oportunities for research…

Atmospheric and Oceanic Physics · Physics 2010-08-02 Nina Dobrinkova , Georgi Jordanov , Jan Mandel

Various flame tracking techniques are often used in hydrodynamic simulations. Their use is indispensable when resolving actual scale of the flame is impossible. We show that parameters defining "artificial flame" propagation found from…

Astrophysics · Physics 2007-05-23 Andrey V. Zhiglo
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