TERRAPUB Earth, Planets and Space

Earth Planets Space, Vol. 55 (No. 7), pp. 427-435, 2003

On the estimates of the ring current injection and decay

P. Ballatore1 and W. D. Gonzalez2

1Istituto di Scienza e Tecnologie dell'Informazione, National Research Council, Via Moruzzi, 1-56124 Pisa, Italy
2National Institute for Space Research (INPE), Sáo José dos Campos, Brazil

(Received February 13, 2003; Revised June 23, 2003; Accepted August 7, 2003)

Abstract: In the context of the space weather predictions, forecasting ring current strength (and of the Dst index) based on the solar wind upstream conditions is of specific interest for predicting the occurrence of geomagnetic storms. In the present paper, we have studied separately its two components: the Dst injection and decay. In particular, we have verified the validity of the Burton's equation for estimating the ring current energy balance using the equatorial electric merging field instead of the original parameter VBs (V is the solar wind speed and Bs is the southward component of the Interplanetary Magnetic Field, IMF). Then, based on this equation, we have used the phase-space method to determine the best-fit approximations for the ring current injection and decay as functions of the equatorial merging electric field (Em). Results indicate that the interplanetary injection is statistically higher than in previous estimations using VBs. Specifically, weak but not-null ring current injection can be observed even during northward IMF, when previous studies considered it to be always zero. Moreover, results about the ring current decay indicate that the rate of Dst decay is faster than its predictions derived by using VBs. In addition, smaller quiet time ring current and solar wind pressure corrections are contributing to Dst estimates obtained by Em instead of VBs. These effects are compensated, so that the statistical Dst predictions using the equatorial electric merging field or using VBs are about equivalent.
Key words: Magnetospheric physics, ring current, modeling and forecasting.

Corresponding author E-mail: ballatore@isti.cnr.it

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