Regression modeling method of space weather prediction

被引:0
作者
A. S. Parnowski
机构
[1] Space Research Institute of NASU and NSAU,
来源
Astrophysics and Space Science | 2009年 / 323卷
关键词
Space weather; Prediction; Forecasting; Magnetic storms; Statistics; Regression;
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
页码:169 / 180
页数:11
相关论文
共 50 条
[21]   Challenges and Opportunities in Magnetospheric Space Weather Prediction [J].
Morley, S. K. .
SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS, 2020, 18 (03)
[22]   Prediction of space weather by adaptive information processing [J].
Tokumitsu M. ;
Ishida Y. ;
Watari S. ;
Kitamura K. .
Artificial Life and Robotics, 2011, 16 (1) :32-35
[23]   Magnetic clouds: A subject space weather prediction [J].
Geranios, A ;
Vandas, M ;
Antoniadou, E ;
Zacharopoulou, O .
INTERNATIONAL JOURNAL OF MODERN PHYSICS A, 2005, 20 (29) :6650-6653
[24]   The State of Space Weather Scientific Modeling—An Introduction [J].
J. Watermann ;
R. Vainio ;
J. Lilensten ;
A. Belehaki ;
M. Messerotti .
Space Science Reviews, 2009, 147 :111-120
[25]   Topological Segmentation and Tracking for Space Weather Modeling [J].
Banesh, Divya ;
Klein, Natalie ;
Morley, Steven ;
Biswas, Ayan ;
Jordanova, Vania ;
Henderson, Michael ;
Lawrence, Earl .
2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2021, :3784-3788
[26]   Accurate and efficient regression modeling for microarchitectural performance and power prediction [J].
Lee, Benjamin C. ;
Brooks, David M. .
ACM SIGPLAN NOTICES, 2006, 41 (11) :185-194
[27]   The State of Space Weather Scientific Modeling-An Introduction [J].
Watermann, J. ;
Vainio, R. ;
Lilensten, J. ;
Belehaki, A. ;
Messerotti, M. .
SPACE SCIENCE REVIEWS, 2009, 147 (3-4) :111-120
[28]   NOAA Space Weather Prediction Center Radiation Advisories for the International Civil Aviation Organization [J].
Bain, H. M. ;
Copeland, K. ;
Onsager, T. G. ;
Steenburgh, R. A. .
SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS, 2023, 21 (07)
[29]   Weather radar's life prediction using support vector regression [J].
Rui, Fang ;
Xiangmei, Li .
Journal of Convergence Information Technology, 2012, 7 (12) :69-75
[30]   Prediction of Daily Photovoltaic Energy Production Using Weather Data and Regression [J].
Sarper, Huseyin ;
Melnykov, Igor ;
Martinez, Lee Anne .
JOURNAL OF SOLAR ENERGY ENGINEERING-TRANSACTIONS OF THE ASME, 2021, 143 (06)