191 citations · 934 across the 35 of their papers we have counts for
37 papers
Spatio-temporal Dynamical Indices for Complex Systems
Chenyu Dong, Gabriele Messori, Davide Faranda +3
Complex systems span multiple spatial and temporal scales, making their dynamics challenging to understand and predict. This challenge is especially daunting when one wants to stud…
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…
A novel concept of fractal dimension in deterministic and stochastic Lorenz-63 systems
Tommaso Alberti, Davide Faranda, Valerio Lucarini +3
Many natural systems show emergent phenomena at different scales, leading to scaling regimes with signatures of chaos at large scales and an apparently random behavior at small sca…
Stochastic Chaos and Predictability in Laboratory Earthquakes
Adriano Gualandi, Davide Faranda, Chris Marone +2
Laboratory earthquakes exhibit characteristics of a low dimensional random attractor with a dimension similar to that of natural slow earthquakes. A model of stochastic differentia…
Guidelines for data-driven approaches to study transitions in multiscale systems: the case of Lyapunov vectors
Akim Viennet, Nikki Vercauteren, Maximilian Engel +1
We study in detail the role of covariant Lyapunov vectors and their respective angles for detecting transitions between metastable states in dynamical systems, as recently discusse…
Chameleon attractors in a turbulent flow
Tommaso Alberti, Francois Daviaud, Reik V. Donner +3
Turbulent flows present rich dynamics originating from non-trivial energy fluxes across scales, non-stationary forcings and geometrical constraints. This complexity manifests in no…