139 citations · 241 across the 8 of their papers we have counts for
8 papers
A statistical physics and dynamical systems perspective on geophysical extreme events
Davide Faranda, Gabriele Messori, Tommaso Alberti +14
Statistical physics and dynamical systems theory are key tools to study high-impact geophysical events such as temperature extremes, cyclones, thunderstorms, geomagnetic storms and…
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…
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…
Extreme value distributions of observation recurrences
Théophile Caby, Davide Faranda, Sandro Vaienti +1
We study analytically and numerically the extreme value distribution of observables defined along the temporal evolution of a dynamical system. The convergence to the Gumbel law of…
On the computation of the extremal index for time series
Th. Caby, D. Faranda, S. Vaienti +1
The extremal index is a quantity introduced in extreme value theory to measure the presence of clusters of exceedances. In the dynamical systems framework, it provides important in…
Generalized dimensions, large deviations and the distribution of rare events
Théophile Caby, Davide Faranda, Giorgio Mantica +2
Generalized dimensions of multifractal measures are usually seen as static objects, related to the scaling properties of suitable partition functions, or moments of measures of cel…
Detecting spatial patterns with the cumulant function. Part II: An application to El Nino
Alberto Bernacchia, Philippe Naveau, Mathieu Vrac +1
The spatial coherence of a measured variable (e.g. temperature or pressure) is often studied to determine the regions where this variable varies the most or to find teleconnections…
Data-Adaptive Wavelets and Multi-Scale Singular Spectrum Analysis
P. Yiou, D. Sornette, M. Ghil
Using multi-scale ideas from wavelet analysis, we extend singular-spectrum analysis (SSA) to the study of nonstationary time series of length whose intermittency can give rise…