1 code implementation • 19 Jun 2023 • Nicolas Lafon, Philippe Naveau, Ronan Fablet
We illustrate the relevance of our approach on a synthetic data set and on a real data set of discharge measurements along the Danube river network.
no code implementations • 9 May 2022 • Romain Pic, Clément Dombry, Philippe Naveau, Maxime Taillardat
Numerous state-of-the-art statistical postprocessing techniques are based on distributional regression evaluated with the Continuous Ranked Probability Score (CRPS).
no code implementations • 26 Jan 2021 • Paul Platzer, Pascal Yiou, Philippe Naveau, Jean-François Filipot, Maxime Thiebaut, Pierre Tandeo
These findings are illustrated with numerical simulations of a well-known chaotic dynamical system and on 10m-wind reanalysis data in north-west France.
no code implementations • 10 May 2019 • Maxime Taillardat, Anne-Laure Fougères, Philippe Naveau, Raphaël de Fondeville
Verifying probabilistic forecasts for extreme events is a highly active research area because popular media and public opinions are naturally focused on extreme events, and biased conclusions are readily made.
no code implementations • 29 Nov 2017 • Maxime Taillardat, Anne-Laure Fougères, Philippe Naveau, Olivier Mestre
Rainfall ensemble forecasts have to be skillful for both low precipitation and extreme events.