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Nonlinear analysis of magnetospheric data Part II. Dynamical characteristics of the AE index time series and comparison with nonlinear surrogate data
Nonlinear analysis magnetospheric data Dynamical characteristics AE index time series
2009/11/13
In this study we have used dynamical characteristies such as Lyapunov exponents, nonlinear dynamic models and mutual information for the nonlinear analysis of the magnetospheric AE index time series. ...
Nonlinear analysis of magnetospheric data Part I. Geometric characteristics of the AE index time series and comparison with nonlinear surrogate data
Nonlinear analysis magnetospheric data Geometric characteristics AE index time series
2009/11/13
A long AE index time series is used as a crucial magnetospheric quantity in order to study the underlying dynainics. For this purpose we utilize methods of nonlinear and chaotic analysis of time serie...
SVD analysis of the magnetospheric AE index time series and comparison with low-dimensional chaotic dynamics
SVD analysis magnetospheric AE index time series low-dimensional chaotic dynamics
2009/11/12
The singular value decomposition (SVD) analysis is used at different stages in this paper in order to extract useful information concerning the underlying dynamics of the magnetospheric AE index. As a...
Total ozone time series analysis:a neural network model approach
Total ozone time series analysis neural network model approach
2009/11/11
This work is focused on the application of neural network based models to the analysis of total ozone (TO) time series. Processes that affect total ozone are extremely non linear, especially at the co...
Scaling collapse and structure functions:identifying self-affinity in finite length time series
Scaling collapse structure functions self-affinity finite length time series
2009/11/11
Empirical determination of the scaling properties and exponents of time series presents a formidable challenge in testing, and developing, a theoretical understanding of turbulence and other out-of-eq...
Local polynomial method for ensemble forecast of time series
Local polynomial method ensemble forecast time series
2009/11/9
We present a nonparametric approach based on local polynomial regression for ensemble forecast of time series. The state space is first reconstructed by embedding the univariate time series of the res...
A propagation-separation approach to estimate the autocorrelation in a time-series
propagation-separation approach autocorrelation time-series
2009/11/2
The paper presents an approach to estimate parameters of a local stationary AR(1) time series model by maximization of a local likelihood function. The method is based on a propagation-separation proc...
Methodological Aspects on River Cryophenology Exemplified by a Tricentennial Break-up Time Series from Tornio
Cryophenology River Methodology
2009/6/15
Methodological Aspects on River Cryophenology Exemplified by a Tricentennial Break-up Time Series from Tornio.
Homogenity Testing and Adjustment of Climate Time Series in Finland
climatological time series homogeneity testing metadata temperature precipitation Finland
2009/6/9
The statistical tests used for the detection and adjustment of homogeneity breaks in climatic time series are mostly objective. However, subjective decisions on the design of the testing procedure are...