Analysis of a six-component atmospheric spectral model: Chaos, predictability and vacillation
type: Item
instance of: scholarly article
title: Analysis of a six-component atmospheric spectral model: Chaos, predictability and vacillation
zbMATH Open document ID: 0687.76045
DOI: 10.1016/0167-2789(89)90082-1
author: Huib De Swart
published in: Physica D
publication date: 1989-01-01T00:00:00Z
Mathematics Subject Classification ID: 76E20
Mathematics Subject Classification ID: 86A99
Mathematics Subject Classification ID: 37D45
zbMATH DE Number: 4126866
zbMATH Keywords: low-order atmospheric spectral model
zbMATH Keywords: bifurcation analysis
zbMATH Keywords: steady states
zbMATH Keywords: periodic solutions
zbMATH Keywords: time-asymptotic behaviour
zbMATH Keywords: initial conditions
zbMATH Keywords: strange attractors
zbMATH Keywords: homoclinic orbits
zbMATH Keywords: Lyapunov exponent
describes a project that uses: AUTO
describes a project that uses: AUTO-86
MaRDI profile type: Publication
full work available at URL: 0167-2789(89)90082-1
OpenAlex ID: W1982358729
cites work: Low-order spectral models of the atmospheric circulation: A survey
cites work: Bifurcation phenomena near homoclinic systems: A two-parameter analysis
cites work: Determining Lyapunov exponents from a time series
cites work: The Lorenz equations: bifurcations, chaos, and strange attractors
description: scientific article; zbMATH DE number 4126866