Wildland fires are responsible for large socio-economic impacts. Fires affect the environment, damage structures, threaten lives, cause health issues, and involve large suppression costs. These impacts can be mitigated via accurate fire spread forecast to inform the incident management team. We show that a fire forecast system based on a numerical weather prediction (NWP) model coupled with a wildland fire behavior model can provide this forecast. This was illustrated with the Chimney Tops II wildland fire responsible for large socio-economic impacts. The system was run at high horizontal resolution (111 m) over the region affected by the fire to provide a fine representation of the terrain and fuel heterogeneities and explicitly resolve at...
dissertationThreats associated with wildland fires are exacerbated by weather conditions conducive t...
Modeling fire spread is critical in fire risk management. Creating data-driven models to forecast sp...
Annually, wildfires destroy millions of acres of land costing federal agencies billions for wildfire...
Abstract—Wildland f ire behavior, par ticular ly that of large, uncontrol led wild fires, has not b...
Wildfire, a natural part of many ecosystems, has also resulted in significant disasters impacting ec...
Wildfire, a natural part of many ecosystems, has also resulted in significant disasters impacting ec...
A wildland fire-behavior module, named WRF-Fire, was integrated into the Weather Research and Foreca...
International audienceWildfires result from complex physical, chemical and biological processes inte...
In recent times there have been increasing efforts to integrate technology into wildfire management,...
A newer generation of models that interactively couple the atmosphere with fire behavior have shown ...
Computational models of wildfires are necessary for operational prediction and risk assessment. Thes...
Wildfire danger assessment is essential for operational allocation of fire management resources; wit...
We utilize Hi-Res, a regional forecasting system which provides local air quality forecasts for the ...
Wildland fires have become a major research subject among the national and international research co...
Abstract: The increasing complexity and impacts of fire seasons in the United States have prompted ...
dissertationThreats associated with wildland fires are exacerbated by weather conditions conducive t...
Modeling fire spread is critical in fire risk management. Creating data-driven models to forecast sp...
Annually, wildfires destroy millions of acres of land costing federal agencies billions for wildfire...
Abstract—Wildland f ire behavior, par ticular ly that of large, uncontrol led wild fires, has not b...
Wildfire, a natural part of many ecosystems, has also resulted in significant disasters impacting ec...
Wildfire, a natural part of many ecosystems, has also resulted in significant disasters impacting ec...
A wildland fire-behavior module, named WRF-Fire, was integrated into the Weather Research and Foreca...
International audienceWildfires result from complex physical, chemical and biological processes inte...
In recent times there have been increasing efforts to integrate technology into wildfire management,...
A newer generation of models that interactively couple the atmosphere with fire behavior have shown ...
Computational models of wildfires are necessary for operational prediction and risk assessment. Thes...
Wildfire danger assessment is essential for operational allocation of fire management resources; wit...
We utilize Hi-Res, a regional forecasting system which provides local air quality forecasts for the ...
Wildland fires have become a major research subject among the national and international research co...
Abstract: The increasing complexity and impacts of fire seasons in the United States have prompted ...
dissertationThreats associated with wildland fires are exacerbated by weather conditions conducive t...
Modeling fire spread is critical in fire risk management. Creating data-driven models to forecast sp...
Annually, wildfires destroy millions of acres of land costing federal agencies billions for wildfire...