Regression modeling method of space weather prediction
Space Physics
2010-01-12 v2 Solar and Stellar Astrophysics
Data Analysis, Statistics and Probability
Geophysics
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.
Cite
@article{arxiv.0906.3271,
title = {Regression modeling method of space weather prediction},
author = {Aleksei Parnowski},
journal= {arXiv preprint arXiv:0906.3271},
year = {2010}
}
Comments
13 pages, 19 figures, 2 tables