Correlation and Spectral Properties of a Coupled Nonlinear Dynamical System in the Context of Numerical Weather Prediction and Climate Modeling

Complex dynamical processes occurring in the earth’s climate system are strongly nonlinear and exhibit wave-like oscillations within broad time-space spectrum. One way to imitate essential features of such processes is using a coupled nonlinear dynamical system, obtained by coupling two versions of...

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Main Authors: Sergei Soldatenko, Denis Chichkine
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2014/498184
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author Sergei Soldatenko
Denis Chichkine
author_facet Sergei Soldatenko
Denis Chichkine
author_sort Sergei Soldatenko
collection DOAJ
description Complex dynamical processes occurring in the earth’s climate system are strongly nonlinear and exhibit wave-like oscillations within broad time-space spectrum. One way to imitate essential features of such processes is using a coupled nonlinear dynamical system, obtained by coupling two versions of the well-known Lorenz (1963) model with distinct time scales that differ by a certain time-scale factor. This dynamical system is frequently applied for studying various aspects of atmospheric and climate dynamics, as well as for estimating the effectiveness of numerical algorithms and techniques used in numerical weather prediction, data assimilation, and climate simulation. This paper examines basic dynamic, correlative, and spectral properties of this system and quantifies the influence of the coupling strength on power spectrum densities, spectrograms, and autocorrelation functions.
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series Discrete Dynamics in Nature and Society
spelling doaj-art-68e7033119dd4a5db1b5a1813d39b3c82025-02-03T05:48:18ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2014-01-01201410.1155/2014/498184498184Correlation and Spectral Properties of a Coupled Nonlinear Dynamical System in the Context of Numerical Weather Prediction and Climate ModelingSergei Soldatenko0Denis Chichkine1Centre for Australian Weather and Climate Research, 700 Collins Street, Docklands, VIC 3008, AustraliaUniversity of Waterloo, 200 University Avenue West, Waterloo, ON, N2L 3G1, CanadaComplex dynamical processes occurring in the earth’s climate system are strongly nonlinear and exhibit wave-like oscillations within broad time-space spectrum. One way to imitate essential features of such processes is using a coupled nonlinear dynamical system, obtained by coupling two versions of the well-known Lorenz (1963) model with distinct time scales that differ by a certain time-scale factor. This dynamical system is frequently applied for studying various aspects of atmospheric and climate dynamics, as well as for estimating the effectiveness of numerical algorithms and techniques used in numerical weather prediction, data assimilation, and climate simulation. This paper examines basic dynamic, correlative, and spectral properties of this system and quantifies the influence of the coupling strength on power spectrum densities, spectrograms, and autocorrelation functions.http://dx.doi.org/10.1155/2014/498184
spellingShingle Sergei Soldatenko
Denis Chichkine
Correlation and Spectral Properties of a Coupled Nonlinear Dynamical System in the Context of Numerical Weather Prediction and Climate Modeling
Discrete Dynamics in Nature and Society
title Correlation and Spectral Properties of a Coupled Nonlinear Dynamical System in the Context of Numerical Weather Prediction and Climate Modeling
title_full Correlation and Spectral Properties of a Coupled Nonlinear Dynamical System in the Context of Numerical Weather Prediction and Climate Modeling
title_fullStr Correlation and Spectral Properties of a Coupled Nonlinear Dynamical System in the Context of Numerical Weather Prediction and Climate Modeling
title_full_unstemmed Correlation and Spectral Properties of a Coupled Nonlinear Dynamical System in the Context of Numerical Weather Prediction and Climate Modeling
title_short Correlation and Spectral Properties of a Coupled Nonlinear Dynamical System in the Context of Numerical Weather Prediction and Climate Modeling
title_sort correlation and spectral properties of a coupled nonlinear dynamical system in the context of numerical weather prediction and climate modeling
url http://dx.doi.org/10.1155/2014/498184
work_keys_str_mv AT sergeisoldatenko correlationandspectralpropertiesofacouplednonlineardynamicalsysteminthecontextofnumericalweatherpredictionandclimatemodeling
AT denischichkine correlationandspectralpropertiesofacouplednonlineardynamicalsysteminthecontextofnumericalweatherpredictionandclimatemodeling