Freddy Bouchet

About Freddy Bouchet

Freddy Bouchet, With an exceptional h-index of 37 and a recent h-index of 24 (since 2020), a distinguished researcher at École Normale Supérieure de Lyon, specializes in the field of Statistical mechanics, climate sciences, extreme events, rare events, energy transition.

His recent articles reflect a diverse array of research interests and contributions to the field:

Dynamical large deviations for an inhomogeneous wave kinetic theory: linear wave scattering by a random medium

Using rare event algorithms to understand the statistics and dynamics of extreme heatwave seasons in South Asia

Assessing the probability of extremely low wind energy production in Europe at sub-seasonal to seasonal time scales

A Gaussian framework for optimal prediction of extreme heat waves

Extreme heat wave sampling and prediction with analog Markov chain and comparisons with deep learning

Probabilistic forecast of extreme heat waves using convolutional neural networks and rare event simulations

Stochastic weather generator and deep learning approach for predicting and sampling extreme European heatwaves

Functional renormalisation group approach to shell models of turbulence

Freddy Bouchet Information

University

Position

___

Citations(all)

4760

Citations(since 2020)

1881

Cited By

3656

hIndex(all)

37

hIndex(since 2020)

24

i10Index(all)

80

i10Index(since 2020)

51

Email

University Profile Page

Google Scholar

Freddy Bouchet Skills & Research Interests

Statistical mechanics

climate sciences

extreme events

rare events

energy transition

Top articles of Freddy Bouchet

Title

Journal

Author(s)

Publication Date

Dynamical large deviations for an inhomogeneous wave kinetic theory: linear wave scattering by a random medium

Annales Henri Poincaré

Yohei Onuki

Jules Guioth

Freddy Bouchet

2024/1

Using rare event algorithms to understand the statistics and dynamics of extreme heatwave seasons in South Asia

arXiv preprint arXiv:2404.07791

Clément Le Priol

Joy M Monteiro

Freddy Bouchet

2024/4/11

Assessing the probability of extremely low wind energy production in Europe at sub-seasonal to seasonal time scales

Environmental Research Letters

Bastien Cozian

Corentin Herbert

Freddy Bouchet

2024/3/28

A Gaussian framework for optimal prediction of extreme heat waves

Valeria Mascolo

Alessandro Lovo

Corentin Herbert

Freddy Bouchet

2024/3/7

Extreme heat wave sampling and prediction with analog Markov chain and comparisons with deep learning

Environmental Data Science

George Miloshevich

Dario Lucente

Pascal Yiou

Freddy Bouchet

2024/1

Probabilistic forecast of extreme heat waves using convolutional neural networks and rare event simulations

EGU General Assembly Conference Abstracts

Freddy Bouchet

George Milosevich

Francesco Ragone

Alessandro Lovo

Pierre Borgnat

...

2023/5

Stochastic weather generator and deep learning approach for predicting and sampling extreme European heatwaves

EGU General Assembly Conference Abstracts

George Miloshevich

Dario Lucente

Freddy Bouchet

Pascal Yiou

2023/5

Functional renormalisation group approach to shell models of turbulence

SciPost Physics

Côme Fontaine

Malo Tarpin

Freddy Bouchet

Léonie Canet

2023/11/28

Data-driven methods to estimate the committor function in conceptual ocean models

Nonlinear Processes in Geophysics

Valérian Jacques-Dumas

René M van Westen

Freddy Bouchet

Henk A Dijkstra

2023/6/28

Influence of the Atlantic Multidecadal Variability and of Soil Moisture on Extreme Heatwaves in Europe

EGU General Assembly Conference Abstracts

Valeria Mascolo

Clément Le Priol

Fabio d'Andrea

Freddy Bouchet

2023/5

Probabilistic forecasts of extreme heatwaves using convolutional neural networks in a regime of lack of data

Physical Review Fluids

George Miloshevich

Bastien Cozian

Patrice Abry

Pierre Borgnat

Freddy Bouchet

2023/4/4

Robust intra-model teleconnection patterns for extreme heatwaves

arXiv preprint arXiv:2306.11769

George Miloshevich

Philippine Rouby-Poizat

Francesco Ragone

Freddy Bouchet

2023/6/20

Sample-path large deviations for stochastic evolutions driven by the square of a Gaussian process

Mathematics of operations research

William H Sandholm

Mathias Staudigl

2018/11

Interpretable probabilistic forecast of extreme heat waves

EGU General Assembly Conference Abstracts

Alessandro Lovo

Corentin Herbert

Freddy Bouchet

2023/5

Instantons and the path to intermittency in turbulent flows

Physical Review Letters

André Fuchs

Corentin Herbert

Joran Rolland

Matthias Wächter

Freddy Bouchet

...

2022/7/13

Dynamical large deviations for homogeneous systems with long range interactions and the Balescu–Guernsey–Lenard equation

Journal of Statistical Physics

Ouassim Feliachi

Freddy Bouchet

2022/2

Chasing data-driven probabilistic forecasting tools for heatwaves: the case of analog Markov chains and dimensional reduction via autoencoders

AGU Fall Meeting Abstracts

George Miloshevich

Freddy Bouchet

Dario Lucente

Pascal Yiou

2022/12

Advances in rare event simulations using data-based estimation of committor functions

EGU General Assembly Conference Abstracts

Dario Lucente

Joran Rolland

Corentin Herbert

Freddy Bouchet

2022/5

Path large deviations for the kinetic theory of weak turbulence

Journal of Statistical Physics

Jules Guioth

Freddy Bouchet

Gregory L Eyink

2022/11

Probabilistic forecasting of heat waves with deep learning

EGU General Assembly Conference Abstracts

George Miloshevich

Valerian Jacques-Dumas

Pierre Borgnat

Patrice Abry

Freddy Bouchet

2022/5

See List of Professors in Freddy Bouchet University(École Normale Supérieure de Lyon)

Co-Authors

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