Astrophysics and Space Science

, Volume 323, Issue 2, pp 169–180 | Cite as

Regression modeling method of space weather prediction

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Abstract

A regression modeling method of space weather prediction is proposed. It allows forecasting Dst index up to 6 hours ahead with about 90% correlation. It can also be used for constructing phenomenological models of interaction between the solar wind and the magnetosphere. With its help two new geoeffective parameters were found: latitudinal and longitudinal flow angles of the solar wind. It was shown that Dst index remembers its previous values for 2000 hours.

Keywords

Space weather Prediction Forecasting Magnetic storms Statistics Regression 
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Copyright information

© Springer Science+Business Media B.V. 2009

Authors and Affiliations

  1. 1.Space Research Institute of NASU and NSAUKiev-187Ukraine

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