Abstract We investigated the dependence of the geomagnetic activity index K p on the velocity and density of the solar wind and the intensity of the interplanetary magnetic field (IMF). A three-layer neural network was used to create the model. The degree of the influence of input parameters on K p was determined by the value of the mean and root-mean square deviations of the model index values from the real indices. It was found that the largest contribution to the K p index is provided by the Z component of the IMF, the velocity and density of the solar wind measured with a delay from 0 to 3 h relative to the studied value of K p, and the previous value of the index itself. For the model with such a set of input parameters, the correlation coefficient between model and real series is ±0.89. The analysis of deviations from the real values of K p showed that high indices are simulated worse than low indices. In order to solve this problem the data distribution was reduced to a uniform distribution over K p, and this considerably decreased the standard deviations for large values of K p.


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    Title :

    Influence of Solar Wind Parameters on the Level of Geomagnetic Field Fluctuations


    Contributors:

    Published in:

    Cosmic Research ; 42 , 4 ; 354-361


    Publication date :

    2004-07-01


    Size :

    8 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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