Mid-term periodicities and heliospheric modulation of coronal index and solar flare index during solar cycles 22–23

Singh, Prithvi Raj; Saxena, A. K.; Tiwari, C. M.

doi:10.1007/s12036-018-9514-9

Cited by 10 publications

(6 citation statements)

References 23 publications

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“…It is worth noting that quasi-annual periods have been reported in the literature, through investigations of the corona and flares (Deng et al 2015;Gyenge et al 2016;Singh et al 2018), chromospheric plages (Xiang 2019), sunspots (McIntosh et al 2015;Mei et al 2018), CMEs (Lou et al 2003), 10.7 cm radio flux (Lean & Brueckner 1989), solar wind parameters (Chowdhury & Dwivedi 2012;El-Borie et al 2020), and geomagnetic activities (Mursula et al 2003), and even in a solar-like stellar system (Massi et al 2005). The exact physical origin of these short-period variations remains unknown, while their period is consistent with that of the tachocline oscillations (Howe et al 2000).…”

Section: Quasi-annual Oscillationsmentioning

confidence: 99%

Power-law Distribution of Solar Cycle–modulated Coronal Jets

Liu

Song

Jess

et al. 2023

ApJS

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Power-law distributions have been studied as a significant characteristic of nonlinear dissipative systems. Since discovering the power-law distribution of solar flares that was later extended to nanoflares and stellar flares, it has been widely accepted that different scales of flares share the same physical process. Here we present the newly developed semiautomated jet identification algorithm and its application for detecting more than 1200 off-limb solar jets during Solar Cycle 24. Power-law distributions have been revealed between the intensity/energy and frequency of these events, with indices found to be analogous to those for flares and coronal mass ejections (CMEs). These jets are also found to be spatially and temporally modulated by the solar cycle, forming a butterfly diagram in their latitudinal-temporal evolution, experiencing quasi-annual oscillations in their analyzed properties, and very likely gathering in certain active longitudinal belts. Our results show that coronal jets display the same nonlinear behavior as that observed in flares and CMEs, in solar and stellar atmospheres, strongly suggesting that they result from the same nonlinear statistics of scale-free processes as their counterparts in different scales of eruptive events. Although these jets, like flares and other large-scale dynamic phenomena, are found to be significantly modulated by the solar cycle, their corresponding power-law indices still remain similar.

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Section: Quasi-annual Oscillationsmentioning

confidence: 99%

Power-law Distribution of Solar Cycle–modulated Coronal Jets

Liu

Song

Jess

et al. 2023

ApJS

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“…On the basis of a cross-correlation coefficient between monthly NCRs and SSN, time lags of about 5 -6 months were established and calculated for NCRs in the period from 1957 to 2012. Singh, Saxena, and Tiwari (2018) analyzed the Solar Cycles: 22 and 23 (1986 -2008). In their article, the SA is characterized by the coronal index (CI) and the solar flare index (SFI).…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation of the Delay Time in Galactic Cosmic Ray Flux in Different Epochs of Solar Magnetic Cycles: 1959 – 2014

et al. 2019

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In the present article, we analyze long-term changes in the intensity of galactic cosmic rays (GCRs) in different polarity epochs of the solar magnetic cycles from 1959 to 2014. Our purpose is to carry out a study of the delay time (DT) between the changes of the GCR intensity and various parameters characterizing the conditions in the heliosphere. We prove the existence of varying DTs between the changes of GCR intensity and the parameters characterizing solar activity, such as sunspot number and tilt angle. Based on our investigation, we obtained different DTs in epochs with different global solar magnetic field polarities. We conclude that the observed DTs are very important parameters for the study of GCR transport in the heliosphere.

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“…The significant period of ∼1.34 years of geomagnetic activity is assumed to be generated at the base of the solar convection zone for combined solar cycles 22 to 24, but in the case of the solar activity period it is ∼1.30 to ∼1.53 years (Howe et al 2000, Singh et al 2018. It is observed that the periodicity of the geomagnetic activity is ∼136d, and ∼195d constitutes the 5th and 7th subharmonic of the solar synodic rotation of ∼27 days.…”

Section: Periodicities Of Geomagnetic Activitymentioning

confidence: 99%

Quasi-biennial periodicities and heliospheric modulation of geomagnetic activity during solar cycles 22–24

et al. 2019

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We have studied the monthly variations of geomagnetic activity (aa index) for the period 1986–2016. We have observed the heliospheric effect on geomagnetic activity, with zero time lag in the ascending and descending phases during the solar cycles 22 to 24. We have investigated midterm periodicity patterns of geomagnetic activity such as Rieger type (∼120–195d), quasi-annual period (∼378d), and quasi-biennial period (∼1.34–4.42y), using the fast Fourier transform technique and the Morlet wavelet transform for the period 1986–2016. We have investigated the amplitude of the sunspot number (SSN) for the next solar cycle 25 on the basis of the linear fit profile for maxima of SSNs due to minima of geomagnetic activity. Quasi-biennial oscillations (QBOs) represents the minimum amplitude in the period 1999–2000 and 2007–2013, and maximum in the ascending phase periods 1989, 1991, 2003, 2005 and 2015, i.e. QBOs of geomagnetic activity are strongly correlated with the monthly variation during solar cycles 22–24.

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Mid-term periodicities and heliospheric modulation of coronal index and solar flare index during solar cycles 22–23

Cited by 10 publications

References 23 publications

Power-law Distribution of Solar Cycle–modulated Coronal Jets

Power-law Distribution of Solar Cycle–modulated Coronal Jets

Experimental Investigation of the Delay Time in Galactic Cosmic Ray Flux in Different Epochs of Solar Magnetic Cycles: 1959 – 2014

Quasi-biennial periodicities and heliospheric modulation of geomagnetic activity during solar cycles 22–24

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