Parametric smoothness and self-scaling of the statistical properties of a minimal climate model: what beyond the mean field theories?

DOI10.1016/j.physd.2007.07.006zbMath1136.86003OpenAlexW2019708635WikidataQ57940441 ScholiaQ57940441MaRDI QIDQ2384919

Antonio Speranza, Renato Vitolo, Valerio Lucarini

Publication date: 10 October 2007

Published in: Physica D (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physd.2007.07.006

zbMATH Keywords

chaotic dynamicsself-similaritystrange attractormetric entropyscaling lawclimate modelattractor dimensionAtmospheric circulationbonding box

Mathematics Subject Classification ID

Meteorology and atmospheric physics (86A10) Dynamical systems in other branches of physics (quantum mechanics, general relativity, laser physics) (37N20)

Related Items (12)

Crisis of the chaotic attractor of a climate model: a transfer operator approach ⋮ Latitudinal storm track shift in a reduced two-level model of the atmosphere ⋮ Extreme value laws in dynamical systems under physical observables ⋮ Quasi-periodic bifurcations of invariant circles in low-dimensional dissipative dynamical systems ⋮ Travelling waves and their bifurcations in the Lorenz-96 model ⋮ Response theory for equilibrium and non-equilibrium statistical mechanics: Causality and generalized Kramers-Kronig relations ⋮ New nonlinear mechanisms of midlatitude atmospheric low-frequency variability ⋮ Towards a general theory of extremes for observables of chaotic dynamical systems ⋮ Evidence of dispersion relations for the nonlinear response of the Lorenz 63 system ⋮ Eddy saturation in a reduced two-level model of the atmosphere ⋮ The role of nonlinear self-interaction in the dynamics of planetary-scale atmospheric fluctuations ⋮ Dynamical analysis of the Lorenz-84 atmospheric circulation model

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