Regression modeling method of space weather prediction

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.

13 pages, 19 figures, 2 tables

References in corpus (1)

• Regression modeling method of space weather prediction

Cited by in corpus (2)

• The Challenge of Machine Learning in Space Weather Nowcasting and Forecasting
• Regression modeling method of space weather prediction