In wildfire science, spotting refers to non-local creation of new fires, due to downwind
ignition of brands launched from a primary fire. Spotting is often mentioned as being one of …

This paper is the first part in a series of two articles and presents a data-driven wildfire
simulator for forecasting wildfire spread scenarios, at a reduced computational cost that is …

This is the second part of a series of two papers concerning fire-spotting generated fires.
While, in the first part, we focus on the impact of macro-scale factors on the growth of the …

Wildland fires are responsible for large socio-economic impacts. Fires affect the
environment, damage structures, threaten lives, cause health issues, and involve large …

This paper presents a mathematical approach to model the effects and the role of
phenomena with random nature such as turbulence and fire-spotting into the existing …

Many nonlinear phenomena, whose numerical simulation is not straightforward, depend on
a set of parameters in a way which is not easy to predict beforehand. Wildland fires in …

Fire spotting is often responsible for dangerous flare-ups in wildfires and causes secondary
ignitions isolated from the primary fire zone, which lead to perilous situations. The main aim …

One crucial mechanism in the spread of wildfires is the so-called fire-spotting: a random
phenomenon that occurs when embers are transported over large distances. Fire-spotting …

Abstract The Weather Research and Forecasting Spread FIRE (WRF-SFIRE) model was
used to simulate the evolution of the fire perimeter for the Split wildfire in Croatia, evaluated …

This is the first part of two papers concerning fire-spotting generated fires. In this part we
deal with the impact of macroscale factors, such as the atmospheric stability, and in the …