The dependence of solar plasma parameters on the hemispheric solar activity level during the period 1967–2017

Thabet, A. A.; El-Taher, A. M.

doi:10.1007/s12648-021-02205-y

Cited by 1 publication

(1 citation statement)

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“…To investigate the influence of solar activity (represented by SSAs) on the interplanetary plasma parameters, a smoothing window of a 3-yr running average of the daily averages of both SSAs and interplanetary plasma parameters as well as a specific time-lag of 3-yr (between SSAs and each of T, V, and P) and 2-yr (between SSAs&n) should be taken into our consideration [33].…”

Section: Data Resources and Analysismentioning

confidence: 99%

Mid-, and long-term periodicities of interplanetary plasma parameters throughout the period (1967-2017): Case Study, the distribution of hemispheric solar activities by using the wavelet analysis

El-Taher,

El-Borie,

Ibrahim

et al. 2024

Journal of the Egyptian Society for Basic Sciences-Physics

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In this article, mid-, and long-term periodicities of interplanetary plasma parameters (B, V, n, T, and P) aaccording to the distribution of the hemispheric SSAs in solar hemispheres utilizing the wavelet analysis throughout the period 1967-2017 have been examined. The association between the SSAs and each interplanetary plasma parameter can be established if and only if both the SSAs and the daily averages of each interplanetary plasma parameter have been smoothed by a window of a 3-year running average and a particular time-lag has been applied.The solar activity cycle (~ 10.7 yr), that has almost same power, is the most prominent periodicity in BN and BS power spectra. In addition, the wavelet power spectra of SWSN and SWSS displayed a broad variety of periodicities and their temporal evolutions. The GWS of SWSS provided two significant peaks at 9.8 and 15.2-yr, as well as at 13.9-yr, for SWSN.Furthermore, the most prominent peaks are the periodicities at 9.8 and 13.9 years (9.8 and 15.2 years) for TN (TS) spectra. Additionally, the periodicity around 1.5-yr reveals an increase in

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Section: Data Resources and Analysismentioning

confidence: 99%