A detailed nonlinear time series analysis of the hourly data of the geomagnetic horizontal intensity H measured at Kodaikanal (10.2° N; 77.5° E; mag: dip 3.5° N) has been carried out to investigate the dynamical behaviour of the fluctuations of H. The recurrence plots, spatiotemporal entropy and the result of the surrogate data test show the deterministic nature of the fluctuations, rejecting the hypothesis that H belong to the family of linear stochastic signals. The low dimensional character of the dynamics is evident from the estimated value of the correlation dimension and the fraction of false neighbours calculated for various embedding dimensions. The exponential decay of the power spectrum and the positive Lyapuno...
We examine the nonlinearity effect in the Disturbed Storm Time (Dst) signals during minor, moderate ...
An intensive nonlinear analysis of geomagnetic time series from the magnetic network on Etna volcano...
International audienceIn this study we have used dynamical characteristies such as Lyapunov exponent...
International audienceA detailed nonlinear time series analysis of the hourly data of the geomagneti...
The behaviour of the geomagnetic field as observed almost continuously at three European locations o...
The behaviour of the geomagnetic field as observed almost continuously at three European locations o...
A detailed nonlinear time series analysis has been made of two daytime geomagnetic pulsation events ...
International audienceA detailed nonlinear time series analysis has been made of two daytime geomagn...
The Earth\u27s geomagnetic field reverses its polarity at irregular time intervals. However, it is n...
The Earth\u27s geomagnetic field reverses its polarity at irregular time intervals. However, it is n...
The Earth\u27s geomagnetic field reverses its polarity at irregular time intervals. However, it is n...
The geomagnetic field is chaotic and can be characterized by a mean exponential time scaleafter whic...
We examine the nonlinearity effect in the Disturbed Storm Time (Dst) signals during minor, moderate ...
The geomagnetic field is chaotic and can be characterized by a mean exponential time scale<t>after w...
We examine the nonlinearity effect in the Disturbed Storm Time (Dst) signals during minor, moderate ...
We examine the nonlinearity effect in the Disturbed Storm Time (Dst) signals during minor, moderate ...
An intensive nonlinear analysis of geomagnetic time series from the magnetic network on Etna volcano...
International audienceIn this study we have used dynamical characteristies such as Lyapunov exponent...
International audienceA detailed nonlinear time series analysis of the hourly data of the geomagneti...
The behaviour of the geomagnetic field as observed almost continuously at three European locations o...
The behaviour of the geomagnetic field as observed almost continuously at three European locations o...
A detailed nonlinear time series analysis has been made of two daytime geomagnetic pulsation events ...
International audienceA detailed nonlinear time series analysis has been made of two daytime geomagn...
The Earth\u27s geomagnetic field reverses its polarity at irregular time intervals. However, it is n...
The Earth\u27s geomagnetic field reverses its polarity at irregular time intervals. However, it is n...
The Earth\u27s geomagnetic field reverses its polarity at irregular time intervals. However, it is n...
The geomagnetic field is chaotic and can be characterized by a mean exponential time scaleafter whic...
We examine the nonlinearity effect in the Disturbed Storm Time (Dst) signals during minor, moderate ...
The geomagnetic field is chaotic and can be characterized by a mean exponential time scale<t>after w...
We examine the nonlinearity effect in the Disturbed Storm Time (Dst) signals during minor, moderate ...
We examine the nonlinearity effect in the Disturbed Storm Time (Dst) signals during minor, moderate ...
An intensive nonlinear analysis of geomagnetic time series from the magnetic network on Etna volcano...
International audienceIn this study we have used dynamical characteristies such as Lyapunov exponent...