4 papers
HeatMat: Simulation of City Material Impact on Urban Heat Island Effect
Marie Reinbigler, Romain Rouffet, Peter Naylor +5
The Urban Heat Island (UHI) effect, defined as a significant increase in temperature in urban environments compared to surrounding areas, is difficult to study in real cities using…
Sparse minimum Redundancy Maximum Relevance for feature selection
Peter Naylor, Benjamin Poignard, Héctor Climente-González +1
We propose a feature screening method that integrates both feature-feature and feature-target relationships. Inactive features are identified via a penalized minimum Redundancy Max…
Off to new Shores: A Dataset & Benchmark for (near-)coastal Flood Inundation Forecasting
Brandon Victor, Mathilde Letard, Peter Naylor +4
Floods are among the most common and devastating natural hazards, imposing immense costs on our society and economy due to their disastrous consequences. Recent progress in weather…
Implicit Assimilation of Sparse In Situ Data for Dense & Global Storm Surge Forecasting
Patrick Ebel, Brandon Victor, Peter Naylor +3
Hurricanes and coastal floods are among the most disastrous natural hazards. Both are intimately related to storm surges, as their causes and effects, respectively. However, the sh…