Open Access

Statistically predicting Dst without satellite data

Earth, Planets and Space200961:BF03352936

https://doi.org/10.1186/BF03352936

Received: 14 August 2007

Accepted: 23 September 2007

Published: 29 May 2009

Abstract

In this paper we construct a regression relationship for predicting Dst 1 hour ahead. Our model uses only previous Dst values. This regression is totally unbiased and does not rely on any physical model, except for the fact that Dst somehow contains the information on the recurrent geomagnetic storms. This regression has the prediction efficiency of 0.964, linear correlation with official Dst index of 0.982, and RMS of 4.52 nT. These characteristics are inferior only to our other model, which uses satellite data and provides the prediction efficiency of 0.975, linear correlation with official Dst index of 0.986, and RMS of 3.76 nT. This makes it quite suitable for prediction purposes when satellite data are not available.

Key words

Space weather statistical model Dst prediction