Details

Autor(en) / Beteiligte

• Banerjee, Adrija
• Bej, Amaresh
• Chatterjee, T. N.

Titel

A cellular automata-based model of Earth's magnetosphere in relation with Dst index

Ist Teil von

• Space Weather, 2015-05, Vol.13 (5), p.259-270

Ort / Verlag

Washington: Blackwell Publishing Ltd

Erscheinungsjahr

2015

Quelle

Wiley Online Library Journals

Beschreibungen/Notizen

• The disturbance storm time (Dst) index, a measure of the strength of a geomagnetic storm, is difficult to predict by some conventional methods due to its structural complexity and stochastic nature though a timely geomagnetic storm warning could save society from huge economic losses and hours of related hazards. Self‐organized criticality and the concept of many‐body interactive nonlinear system can be considered an explanation for the fundamental mechanism of the nonstationary geomagnetic disturbances controlled by the perturbed interplanetary conditions. The present paper approaches this natural phenomena by a sandpile‐like cellular automata‐based model of magnetosphere, taking the real‐time solar wind and both the direction and magnitude of the BZ component of the real‐time interplanetary magnetic field as the system‐controlling input parameters. Moreover, three new parameters had been introduced in the model which modify the functional relationships between the variables and regulate the dynamical behavior of the model to closely approximate the actual geomagnetic fluctuations. The statistical similarities between the dynamics of the model and that of the actual Dst index series during the entire 22nd solar cycle signifies the acceptability of the model. Key Points Modeling of geomagnetic storm by a sandpile-like cellular automata model Real‐time data of IMF and solar wind are used as the inputs Dynamic statistical properties of model resembles real‐time Dst index series