967 citations
- V. Tretyak3 profiles22 · h 53
- Davide Faranda16 · h 31
- P. Naveau2 profiles16 · h 43
- F. Piquemal14 · h 30
- G. Szklarz2 profiles14 · h 33
- H. Ohsumi2 profiles14 · h 24
- J. Reyss14 · h 58
- L. Simard2 profiles14 · h 35
- O. Kochetov2 profiles14 · h 39
- S. Jullian2 profiles14 · h 29
- V. Brudanin2 profiles14 · h 53
- X. Sarazin2 profiles14 · h 25
- Centre National de la Recherche ScientifiqueFR91 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR86 papers
- CEA Paris-SaclayFR63 papers
- Université de Versailles Saint-Quentin-en-YvelinesFR51 papers
- Université Paris-SaclayFR39 papers
- Institut Pierre-Simon LaplaceFR20 papers
- Sorbonne UniversitéFR20 papers
- London Mathematical LaboratoryGB16 papers
- Laboratoire de Physique des deux infinis BordeauxFR15 papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR14 papers
- Université de BordeauxFR14 papers
- Aix-Marseille UniversitéFR13 papers
122 papers
Templex-based dynamical units for a taxonomy of chaos
Caterina Mosto, Gisela D. Charó, Christophe Letellier +1
Discriminating different types of chaos is still a very challenging topic, even for dissipative three-dimensional systems for which the most advanced tool is the template. Neverthe…
Atmospheric Methane Removal as a Third Climate Intervention: Termination Risks and Air Pollutant Effects
Katsumasa Tanaka, Weiwei Xiong, Didier A. Hauglustaine +8
Atmospheric Methane Removal (AMR) is a third class of climate intervention, along with Carbon Dioxide Removal (CDR) and Solar Radiation Management (SRM). We show that, unlike CDR,…
Achieving Skilled and Reliable Daily Probabilistic Forecasts of Wind Power at Subseasonal-to-Seasonal Timescales over France
Eloi Lindas, Yannig Goude, Philippe Ciais
In a growing renewable based energy system, accurate and reliable wind power forecasts are crucial for grid stability, balancing supply and demand and market risk management. Even…
Multivariate distributional modeling of low, moderate, and large intensities without threshold selection steps
Carlo Gaetan, Philippe Naveau
In fields such as hydrology and climatology, modelling the entire distribution of positive data is essential, as stakeholders require insights into the full range of values, from l…
Joint modeling of low and high extremes using a multivariate extended generalized Pareto distribution
Noura Alotaibi, Matthew Sainsbury-Dale, Philippe Naveau +2
In most risk assessment studies, it is important to accurately capture the entire distribution of the multivariate random vector of interest from low to high values. For example, i…
Multivariate Discrete Generalized Pareto Distributions: Theory, Simulation, and Applications to Dry spells
Samira Aka, Marie Kratz, Philippe Naveau
This article extends the multivariate extreme value theory (MEVT) to discrete settings, focusing on the generalized Pareto distribution (GPD) as a foundational tool. The purpose of…