209 citations · 2.8k across the 74 of their papers we have counts for
76 papers
Extreme heatwave sampling and prediction with analog Markov chain and comparisons with deep learning
George Miloshevich, Dario Lucente, Pascal Yiou +1
We present a data-driven emulator, stochastic weather generator (SWG), suitable for estimating probabilities of prolonged heatwaves in France and Scandinavia. This emulator is base…
Data-driven methods to estimate the committor function in conceptual ocean models
Valérian Jacques-Dumas, René M. van Westen, Freddy Bouchet +1
In recent years, several climate subsystems have been identified that may undergo a relatively rapid transition compared to the changes in their forcing. Such transitions are rare…
Robust intra-model teleconnection patterns for extreme heatwaves
George Miloshevich, Philippine Rouby-Poizat, Francesco Ragone +1
We investigate the statistics and dynamics of extreme heat waves over different areas of Europe. We find heatwaves over France and Scandinavia to be associated with recurrent waven…
Dynamical large deviations for an inhomogeneous wave kinetic theory: linear wave scattering by a random medium
Yohei Onuki, Jules Guioth, Freddy Bouchet
The wave kinetic equation predicts the averaged temporal evolution of a continuous spectral density of waves either randomly interacting or scattered by the fine structure of a med…
Probabilistic forecasts of extreme heatwaves using convolutional neural networks in a regime of lack of data
George Miloshevich, Bastien Cozian, Patrice Abry +2
Understanding extreme events and their probability is key for the study of climate change impacts, risk assessment, adaptation, and the protection of living beings. Forecasting the…
Functional renormalisation group approach to shell models of turbulence
Côme Fontaine, Malo Tarpin, Freddy Bouchet +1
Shell models are simplified models of hydrodynamic turbulence, retaining only some essential features of the original equations, such as the non-linearity, symmetries and quadratic…