output
20082026
most citedUsing local dynamics to explain analog forecasting of chaotic systems

30 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

6 papers

stat.AP2026

Non-stationary GEV models for estimating design sea-states in a changing climate. Applications to offshore wind farms along the French coasts

Nicolas Raillard, Coline Poppeschi, Tessa Chevallier +2

The rapid expansion of the French offshore wind sector requires a critical reassessment of structural durability in the face of evolving marine conditions driven by climate change.…

physics.ao-ph2021★ 2 cited

Deep Neural Networks for Active Wave Breaking Classification

Caio Eadi Stringari, Pedro Veras Guimarães, Jean-François Filipot +2

Wave breaking is an important process for energy dissipation in the open ocean and coastal seas. It drives beach morphodynamics, controls air-sea interactions, determines when ship…

math.DS2021★ 22 cited

Probability distributions for analog-to-target distances

Paul Platzer, Pascal Yiou, Philippe Naveau +3

Some properties of chaotic dynamical systems can be probed through features of recurrences, also called analogs. In practice, analogs are nearest neighbours of the state of a syste…

physics.data-an2020★ 30 cited

Using local dynamics to explain analog forecasting of chaotic systems

P Platzer, P. Yiou, P. Naveau +4

Analogs are nearest neighbors of the state of a system. By using analogs and their successors in time, one is able to produce empirical forecasts. Several analog forecasting method…

astro-ph.SR2017★ 5 cited

Science cases for a visible interferometer

Philippe Stee, France Allard, Myriam Benisty +54

High spatial resolution is the key for the understanding various astrophysical phenomena. But even with the future E-ELT, single dish instruments are limited to a spatial resolutio…

math.ST2008★ 4 cited

Kernel Inverse Regression for spatial random fields

Jean-Michel Loubes, Anne-Françoise Yao

In this paper, we propose a dimension reduction model for spatially dependent variables. Namely, we investigate an extension of the \emph{inverse regression} method under strong mi…