22 citations · 24 across the 3 of their papers we have counts for
4 papers · 1 filter
Spatial Modeling of Heavy Precipitation by Coupling Weather Station Recordings and Ensemble Forecasts with Max-Stable Processes
Marco Oesting, Philippe Naveau
Due to complex physical phenomena, the distribution of heavy rainfall events is difficult to model spatially. Physically based numerical models can often provide physically coheren…
Climate extreme event attribution using multivariate peaks-over-thresholds modeling and counterfactual theory
Anna Kiriliouk, Philippe Naveau
Numerical climate models are complex and combine a large number of physical processes. They are key tools in quantifying the relative contribution of potential anthropogenic causes…
DADA: Data Assimilation for the Detection and Attribution of Weather- and Climate-related Events
Alexis Hannart, Alberto Carrassi, Marc Bocquet +5
We describe a new approach allowing for systematic causal attribution of weather and climate-related events, in near-real time. The method is purposely designed to facilitate its i…
Approximating the conditional density given large observed values via a multivariate extremes framework, with application to environmental data
Daniel Cooley, Richard A. Davis, Philippe Naveau
Phenomena such as air pollution levels are of greatest interest when observations are large, but standard prediction methods are not specifically designed for large observations. W…