Rapid estimates of the risk from potential wildfires are necessary for operational
management and mitigation efforts. Computational models can provide risk metrics, but are …

Rapid estimates of the risk from potential wildfires are necessary for operational
management and mitigation efforts. Computational models can provide risk metrics, but are …

Scenario analysis and improved decision-making for wildfires often require a large number
of simulations to be run on state-of-the-art modeling systems, which can be both …

Background: Wildfires are a natural disturbance that shape the ecosystems and landscapes
(Pausas and Keeley 2009) although they are a growing threat to the environment …

Wildfire management within the United States continues to increase in complexity, as the
converging drivers of (1) increased development into fire-prone areas,(2) accumulated fuels …

Fire authorities have started widely using operational fire simulations for effective wildfire
management. The aggregation of the simulation outputs on a massive scale creates an …

Frequently, models are required to combine information obtained from different data sources
and on different scales. In this work, we are interested in estimating the risk of wildfire …

Wildfire is an important system process of the earth that occurs across a wide range of
spatial and temporal scales. A variety of methods have been used to predict wildfire …

The scope of wildfires over the previous decade has brought these natural hazards to the
forefront of risk management. Wildfires threaten human health, safety, and property, and …

Wildfire is an important natural disturbance agent in Canadian forests, but it has also caused
significant economic damage nationwide. Spatial fire growth models have emerged as …