activity
19992023
most citedThe Physics of Climate Variability and Climate Change

433 citations · 5.5k across the 131 of their papers we have counts for

collaborators
Showing 2020Show all

10 papers · 1 filter

nlin.CD2020★ 45 cited

Reduced-Order Models for Coupled Dynamical Systems: Data-driven Methods and the Koopman Operator

Manuel Santos Gutiérrez, Valerio Lucarini, Mickaël D. Chekroun +1

Providing efficient and accurate parametrizations for model reduction is a key goal in many areas of science and technology. Here we present a strong link between data-driven and t…

physics.data-an2020★ 8 cited

Analysis of a bistable climate toy model with physics-based machine learning methods

Maximilian Gelbrecht, Valerio Lucarini, Niklas Boers +1

We propose a comprehensive framework able to address both the predictability of the first and of the second kind for high-dimensional chaotic models. For this purpose, we analyse t…

nlin.CD2020★ 2 cited

Predictors and Predictands of Linear Response in Spatially Extended Systems

Umberto Maria Tomasini, Valerio Lucarini

The goal of response theory, in each of its many statistical mechanical formulations, is to predict the perturbed response of a system from the knowledge of the unperturbed state a…

physics.ao-ph2020★ 39 cited

Dynamical Landscape and Multistability of a Climate Model

Georgios Margazoglou, Tobias Grafke, Alessandro Laio +1

We apply two independent data analysis methodologies to locate stable climate states in an intermediate complexity climate model and analyze their interplay. First, drawing from th…

physics.ao-ph2020★ 63 cited

Fingerprinting Heatwaves and Cold Spells and Assessing Their Response to Climate Change using Large Deviation Theory

Vera Melinda Galfi, Valerio Lucarini

Extreme events provide relevant insights into the dynamics of climate and their understanding is key for mitigating the impact of climate variability and climate change. By applyin…

cond-mat.stat-mech2020★ 24 cited

Response Theory and Phase Transitions for the Thermodynamic Limit of Interacting Identical Systems

Valerio Lucarini, G. A. Pavliotis, Niccolò Zagli

We study the response to perturbations in the thermodynamic limit of a network of coupled identical agents undergoing a stochastic evolution which, in general, describes non-equili…