The physics of climate variability and climate change
M Ghil, V Lucarini - Reviews of Modern Physics, 2020 - APS
The climate is a forced, dissipative, nonlinear, complex, and heterogeneous system that is
out of thermodynamic equilibrium. The system exhibits natural variability on many scales of …
out of thermodynamic equilibrium. The system exhibits natural variability on many scales of …
A century of nonlinearity in the geosciences
M Ghil - Earth and Space Science, 2019 - Wiley Online Library
This paper provides a thumbnail sketch of the evolution of nonlinear ideas in the
mathematics and physics of the geosciences, broadly construed, over the last hundred or so …
mathematics and physics of the geosciences, broadly construed, over the last hundred or so …
[图书][B] Extremes and recurrence in dynamical systems
Written by a team of international experts, Extremes and Recurrence in Dynamical Systems
presents a unique point of view on the mathematical theory of extremes and on its …
presents a unique point of view on the mathematical theory of extremes and on its …
Predicting climate change using response theory: Global averages and spatial patterns
V Lucarini, F Ragone, F Lunkeit - Journal of Statistical Physics, 2017 - Springer
The provision of accurate methods for predicting the climate response to anthropogenic and
natural forcings is a key contemporary scientific challenge. Using a simplified and efficient …
natural forcings is a key contemporary scientific challenge. Using a simplified and efficient …
[HTML][HTML] Probabilistic concepts in a changing climate: A snapshot attractor picture
Probabilistic Concepts in a Changing Climate: A Snapshot Attractor Picture in: Journal of
Climate Volume 28 Issue 8 (2015) Jump to Content Logo Logo Logo Logo Logo Logo …
Climate Volume 28 Issue 8 (2015) Jump to Content Logo Logo Logo Logo Logo Logo …
The theory of parallel climate realizations: A new framework of ensemble methods in a changing climate: An overview
Based on the theory of “snapshot/pullback attractors”, we show that important features of the
climate change that we are observing can be understood by imagining many replicas of …
climate change that we are observing can be understood by imagining many replicas of …
Overview of the advances in understanding chaos in low-dimensional dynamical systems subjected to parameter drift: Parallel dynamical evolutions and” climate …
This paper offers a review while also studying yet unexplored features of the area of chaotic
systems subjected to parameter drift of non-negligible rate, an area where the methods of …
systems subjected to parameter drift of non-negligible rate, an area where the methods of …
Generic generation of noise-driven chaos in stochastic time delay systems: Bridging the gap with high-end simulations
Nonlinear time delay systems produce inherently delay-induced periodic oscillations, which
are, however, too idealistic compared to observations. We exhibit a unified stochastic …
are, however, too idealistic compared to observations. We exhibit a unified stochastic …
Annual variability in a conceptual climate model: Snapshot attractors, hysteresis in extreme events, and climate sensitivity
In a conceptual model of global atmospheric circulation, the effects of annually periodic
driving are investigated. The driven system is represented in terms of snapshot attractors …
driving are investigated. The driven system is represented in terms of snapshot attractors …
Revising and extending the linear response theory for statistical mechanical systems: Evaluating observables as predictors and predictands
V Lucarini - Journal of Statistical Physics, 2018 - Springer
Linear response theory, originally formulated for studying how near-equilibrium statistical
mechanical systems respond to small perturbations, has developed into a formidable set of …
mechanical systems respond to small perturbations, has developed into a formidable set of …