Dst prediction using the linear regression analysis
|1Parnowski, AS |
1Space Research Institute of the National Academy of Sciences of Ukraine and the State Space Agency of Ukraine, Kyiv, Ukraine
|Kosm. nauka tehnol. 2008, 14 ;(3):048-054|
|Publication Language: Russian|
The aim of our investigation is to derive the phenomenological regression of Dst in relation to solar wind parameters and to use the regression for Dst prediction. The magnetosphere is considered as a black box, i.e., no models or assumptions are used. We derived the regression providing predicting Dst for nine hours ahead. The correlation between predicted and measured Dst values varies from 98.6 % for one-hour prediction to 79.3 % for nine-hour prediction. We also discuss how the form of statistically significant regressors can help understanding the physical mechanism of solar wind influence on geomagnetic activity.
|Keywords: Dst prediction, regression analysis, solar wind|
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