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 development of a high-quality wildfire occurrence model is an essential component in
mapping present wildfire risk, and in projecting future wildfire dynamics with climate and …

Wildland fire occurrence and behavior are complex phenomena involving essentially fuel
(vegetation), topography, and weather. Fire managers around the world use a variety of …

Fire danger systems have evolved from qualitative indices, to process-driven deterministic
models of fire behavior and growth, to data-driven stochastic models of fire occurrence and …

Wildfires are becoming more frequent in parts of the globe, but predicting where and when
wildfires occur remains difficult. To predict wildfire extremes across the contiguous United …

Modeling wildfire activity is crucial for informing science‐based risk management and
understanding the spatiotemporal dynamics of fire‐prone ecosystems worldwide. Models …

■ Other software is emerging that can gauge how future fires might be mitigated by thinning
forests or allowing some fires to burn. These models can help land managers and agencies …

Quantitative fire risk analysis depends on characterizing and combining fire behavior
probabilities and effects. Fire behavior probabilities are different from fire occurrence …

Despite growing knowledge of fire–environment linkages in the western USA, obtaining
reliable estimates of relative wildfire likelihood remains a work in progress. The purpose of …

Wildfire is a sudden and highly destructive natural disaster that poses significant challenges
in terms of response and rescue efforts. Influenced by factors such as climate, combustible …