Predicting wind flow in highly complex terrain like the Alps is a challenge for all models.
When physical processes need to be resolved in a spatially explicit manner, grids with high …

Renewable energies play a significant role to mitigate the impacts of climate change. In
countries like Spain, there is a significant potential of wind energy production which might be …

Abstract The Optimal Power Shutoff (OPS) problem is an optimization problem that makes
power line de-energization decisions in order to reduce the risk of igniting a wildfire, while …

As bias and uncertainties inevitably exist on both wildland fire model states and parameters,
fire simulations do not always accurately forecast the temporal and spatial progression of …

While full-physics fire models continue to be unsuitable for wildfire emergency situations, the
so-called operational fire spread simulators are incapable of providing accurate estimations …

In recent wildfire prediction research, data assimilation (DA) methods like Ensemble Kalman
filtering have gained traction for integrating observation data to enhance prediction …

The characterization of spatial and temporal patterns of wind is essential to several sectors,
including energy, urban climate, and applied meteorology. However, few studies describe …

Modelling the propagation of wildfires requires an accurate wind field to correctly predict the
behaviour of the fire. Although numerical weather prediction models produce reliable and …

Abstract Predicting wildfires using Machine Learning (ML) models is relevant and essential
to minimize wildfire threats to protect human lives and reduce significant property damages …

In August, 2018, an editorial in Fire entitled Recognizing Women Leaders in Fire Science
was published. This was intended to ignite a conversation into diversity in fire science by …