Activity Cycle of Polar Faculae

Li, Kejun; Irie, M; Wang, Jingxiu; Xiong, S. Y.; Yun, Hong Sik; Hu, Liang; Zhan, L. S.; Zhao, Hai-Juan

doi:10.1093/pasj/54.5.787

Cited by 46 publications

(33 citation statements)

References 25 publications

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“…The correlation coefficients of MPSI with PMOD TSI, ACRIM TSI, and RMIB TSI are 0.582, 0.544, and 0.569, respectively, while the correlation coefficients of MWSI with PMOD TSI, ACRIM TSI, and RMIB TSI are only 0.105, 0.109,and 0.135, respectively. Following the method used in Li et al (2002), the probability is about 99% that the correlation coefficient of TSI with MPSI is larger than that of TSI with MWSI.…”

Section: Datamentioning

confidence: 99%

What Causes the Inter-Solar-Cycle Variation of Total Solar Irradiance?

Xiang

Kong

2015

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The Physikalisch Meteorologisches Observatorium Davos total solar irradiance (TSI), Active Cavity Radiometer Irradiance Monitoring TSI, and Royal Meteorological Institute of Belgium TSI are three typical TSI composites. Magnetic Plage Strength Index (MPSI) and Mount Wilson Sunspot Index (MWSI) should indicate the weak and strong magnetic field activity on the solar full disk, respectively. Cross-correlation (CC) analysis of MWSI with three TSI composites shows that TSI should be weakly correlated with MWSI, and not be in phase with MWSI at timescales of solar cycles. The wavelet coherence (WTC) and partial wavelet coherence (PWC) of TSI with MWSI indicate that the inter-solar-cycle variation of TSI is also not related to solar strong magnetic field activity, which is represented by MWSI. However, CC analysis of MPSI with three TSI composites indicates that TSI should be moderately correlated and accurately in phase with MPSI at timescales of solar cycles, and that the statisticalsignificancetest indicates that the correlation coefficient of three TSI composites with MPSI is statistically significantly higher than that of three TSI composites with MWSI. Furthermore, the cross wavelet transform (XWT) and WTC of TSI with MPSI show that the TSI is highly related and actually in phase with MPSI at a timescale of a solar cycle as well. Consequently, the CC analysis, XWT, and WTC indicate that the solar weak magnetic activity on the full disk, which is represented by MPSI, dominates the inter-solar-cycle variation of TSI.

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Section: Datamentioning

confidence: 99%

What Causes the Inter-Solar-Cycle Variation of Total Solar Irradiance?

Xiang

Kong

2015

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“…The test results are shown in Figure 3. In order to confirm whether there is a significant difference among the obtained correlation coefficients, the statistical test method of [34] is chosen to examine the differences between r reg_lag2 and r reg_lag0 , r indep_lag2 and r indep_lag0 , r reg_lag2 and r indep_lag2 , as well as r reg_lag0 and r indep_lag0 . The SSN (b).…”

Section: Reconstruction Of Tsimentioning

confidence: 99%

Cross wavelet analysis of the relationship between total solar irradiance and sunspot number

et al. 2010

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Using the observational data of total solar irradiance (TSI) from 1976 to 2006, the evolution of total solar irradiance and the relationship between TSI and sunspot number (SSN) have been analyzed with the wavelet technique. The results of the continuous wavelet transform (CWT) indicate that the TSI has multi-scale evolutionary characteristics. In the low frequency band, the TSI and SSN show similar variation with a significant and steady oscillation period from 8 to 11.4 a. While in the high frequency band, only around the maximum time of solar cycles, both the TSI and SSN present a significant intermittent oscillation period from 2 to 6 months. The results of the cross wavelet transform indicate that there is significant in-phase resonance oscillation between the TSI and SSN in 8-11.4 a band, where the variation of the SSN is 2 months ahead of that of TSI. Those results confirm the SSN as the primary cause for TSI's periodic variation in the time scale of 8-11.4 a. However for the 2-6 month band, significant resonance periodicity is observed only within the maximum time of solar cycle, but the phase relationship between the TSI and SSN is unsteady. Finally, a reliable TSI monthly series from 1878 to 1975 is reconstructed and tested.total solar irradiance, sunspot number, cross wavelet, phase relationship, reconstruction Citation:Yang R W, Cao J, Huang W, et al. Cross wavelet analysis of the relationship between total solar irradiance and sunspot number.

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“…Polar faculae (PF), considered as the main index of high-latitude solar activity, are in anti-phase with sunspot numbers (SNs) (Sheeley 1991(Sheeley , 2008Makarov & Makarova 1996;Li et al 2002;Deng et al 2011). As PF and SNs represent poloidal magnetic field and toroidal magnetic field respectively, their phase relation is of interest by means of different points of view (Hagino et al 2004;Callebaut & Makarova 2008), but it is still poorly investigated.…”

Section: Introductionmentioning

confidence: 99%

Phase relationship between polar faculae and sunspot numbers

2012

Proc. IAU

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Abstract. Linear and nonlinear approaches are used to investigate the phase asynchrony between the polar faculae (PF) and sunspot numbers (SNs). It is found that, (1) PF show leads of 52 months relative to SNs on the average of the considered time interval; (2) the crosswavelet transform analysis shows that they are asynchronous in both the low-and high-frequency components. These indicate that their phase relationship is not only time-dependent but also frequency-dependent.

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Activity Cycle of Polar Faculae

Cited by 46 publications

References 25 publications

What Causes the Inter-Solar-Cycle Variation of Total Solar Irradiance?

What Causes the Inter-Solar-Cycle Variation of Total Solar Irradiance?

Cross wavelet analysis of the relationship between total solar irradiance and sunspot number

Phase relationship between polar faculae and sunspot numbers

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