Investigating and comparing the two superstorms in the 23rd solar cycle

被引：16
|
作者：
Basciftci, Fuat [1 ]
机构：
[1] Karamanoglu Mehmetbey Univ, Vocat Sch Tech Sci, Map & Cadastre Programme, TR-70200 Karaman, Turkey
来源：
INDIAN JOURNAL OF PHYSICS | 2022年 / 96卷 / 10期
基金：
美国国家航空航天局;
关键词：
Geomagnetic storm; Artificial neural network (ANN); Zonal geomagnetic indices (ZGi); Solar wind parameters (SWp); GEOMAGNETIC STORMS; NEURAL-NETWORKS; WIND DATA; AURORAL ELECTROJET; PREDICTIONS; ENERGY; PARAMETERS; WAVES; CMES;
D O I：
10.1007/s12648-022-02396-y
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
The present study investigated two super geomagnetic storms (GSs) that occurred on November 20, 2003 (Dst = -422 nT), and November 08, 2004 (Dst = -374 nT). The investigation was conducted by the zonal geomagnetic indices (ZGi) and the solar wind parameters (SWp) (nT). The analysis of the two super geomagnetic activities based on the artificial neural network model (ANNm) consists of the correlation matrix, the hierarchical cluster appearance, and the ZGi estimation with their errors. In the light of physical principles, the ANNm utilizes SWp as inputs and ZGi as outputs. The comparative estimation conclusions with a high correlation rate and low absolute error are satisfied. The ANNm performance is evaluated using the correlation constant (R) and root mean square error (RMSE) (nT) measures for either GS. The study claims that the network model is reliable, with an R-value of up to 88% and an RMSE value of down to 4.78 nT. The paper may support the Sun-Earth investigations.
引用
收藏
页码：2707 / 2716
页数：10
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