Abstract

Predicting wildfire behaviour is an art - as much as it is a sci-ence.  Forest fires are a serious threat to humans and nature from an ecological,  social end economic point of view and false and unreliable forecasts may lead to tragedy.  The best strategies are needed to quickly and efficiently extinguish an ongoing fire in order to minimise its destructive effects. Wild-fire  behaviour  and  growth  models  are  a  key  component  of decision support systems (DSS) in fire event management to predict the fire front for a given time in the near future.  Es-pecially computer modelling and simulation tools are used.These are computationally very demanding and require high performance  computing  (HPC)  resources  to  fulfil  stringent real-time constraints such that simulations can be of use dur-ing an ongoing event