For many applications, the projected quantities arising from projectionbased model order
reduction (PMOR) must be repeatedly recomputed due to, for example, nonlinearities or …

The large and catastrophic wildfires have been increasing across the globe in the recent
decade, highlighting the importance of simulating and forecasting fire dynamics in near real …

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 …

Wildfires play an important role in forest management, while an accurate assessment of
current wildfire status is imperative for fire management. In this paper, a Kalman filter-based …

This paper is an overview of the physical mechanisms and length scales governing the
propagation of wildfires. One of the objectives is to identify the physical and mathematical …

Two wildland fire models and methods for assimilating data in those models are presented.
The EnKF is implemented ina distributed-memory high-performance computing …

Wildfires are aggravating due to climate change. Public policies need territorial intelligence
to prevent and promptly fight fires, especially in vast regions like Brazil. To this end, we have …

Assimilating real-time sensor data into large-scale spatial-temporal simulations, such as
simulations of wildfires, is a promising technique for improving simulation results. This asks …

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 …

Ecology Letters (2011) 14: 522–536 Abstract It is increasingly being recognized that global
ecological research requires novel methods and strategies in which to combine process …