Analysis 2023 Storms based on different time scales (Dst, Kp & Sym/H)

IF 1 Q3 ENGINEERING, AEROSPACE
Pawan Kumar , Mahender Pal , A.P. Mishra , Sham Singh
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引用次数: 0

Abstract

We use numerous plasma parameters with geomagnetic indices with different time scales for the solar wind (SW) during the corresponding periods. Using Kp 3 h data, Dst index hourly data, the symmetric disturbance field (SYM-H) minute resolution data, and solar plasma measurements from multiple satellites, examine the chain of significant events that occurred in year 2023. The Empirical methods and statistical correlation technique examines the relationship between SW parameters and geomagnetic indices during major geomagnetic storms in 2023. Statical analysis of geomagnetic provisional activity Sym/H has better results than the disturbance storm time (Dst) index during various main phases of geomagnetic activity. The correlation (Cr) between SW characteristics with Dst, Kp, and SYM/H have different values, defining the link of disturbance in space weather. This research provides valuable insights for enhancing space weather forecasting of solar-terrestrial interactions.
基于不同时间尺度(Dst、Kp和Sym/H)的2023年风暴分析
我们利用不同时间尺度的地磁指数和大量等离子体参数对太阳风在相应时期的变化进行了研究。利用Kp 3 h数据、Dst指数每小时数据、对称扰动场(SYM-H)分钟分辨率数据和多颗卫星的太阳等离子体测量数据,研究了2023年发生的一系列重要事件。利用经验方法和统计相关技术研究了2023年特大地磁风暴期间西南偏电参数与地磁指数的关系。地磁临时活动Sym/H的静态分析结果优于地磁活动各主要阶段的扰动风暴时间(Dst)指数。SW特征与Dst、Kp、SYM/H的相关系数Cr值不同,定义了空间天气扰动的联系。该研究为加强日地相互作用的空间天气预报提供了有价值的见解。
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来源期刊
Journal of Space Safety Engineering
Journal of Space Safety Engineering Engineering-Safety, Risk, Reliability and Quality
CiteScore
2.50
自引率
0.00%
发文量
80
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