Dibya Kirti Mishra, Bibhuti Kumar Jha, Theodosios Chatzistergos, Ilaria Ermolli, Dipankar Banerjee, Lisa A. Upton and M. Saleem Khan
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引用次数: 0
Abstract
The Sun’s polar magnetic field is pivotal in understanding solar dynamo processes and forecasting future solar cycles. However, direct measurements of the polar field have only been available since the 1970s. The chromospheric Ca ii K polar network index (PNI; the fractional area of the chromospheric network regions above a certain latitude) has recently emerged as a reliable proxy for polar magnetic fields. In this study, we derive PNI estimates from newly calibrated, rotation-corrected Ca ii K observations from the Kodaikanal Solar Observatory (1904–2007) and modern data from the Rome Precision Solar Photometric Telescope (2000–2022). We use both of those Ca ii K archives to identify polar network regions with an automatic adaptive threshold segmentation technique and calculate the PNI. The PNI obtained from both the archives shows a significant correlation with the measured polar field from the Wilcox Solar Observatory (Pearson correlation coefficient r > 0.93) and the derived polar field based on an Advective Flux Transport Model (r > 0.91). The PNI series also shows a significant correlation with faculae counts derived from Mount Wilson Observatory observations (r > 0.87) for both Kodaikanal Solar Observatory and Rome Precision Solar Photometric Telescope data. Finally, we use the PNI series from both archives to reconstruct the polar magnetic field over a 119 yr long period, which includes the last 11 solar cycles (Cycles 14–24). We also obtain a relationship between the amplitude of solar cycles (in 13 month smoothed sunspot number) and the strength of the reconstructed polar field at the preceding solar cycle minimum to validate the prediction of the ongoing solar cycle, Cycle 25.
太阳的极磁场是理解太阳发电机过程和预测未来太阳周期的关键。然而,对极地磁场的直接测量直到20世纪70年代才得以实现。色球钙钾极性网络指数(PNI);在一定纬度以上的色球网络区域的分数面积最近被认为是极磁场的可靠代表。在这项研究中,我们从Kodaikanal太阳天文台(1904-2007)新校准的旋转校正的Ca ii K观测数据和罗马精密太阳光度望远镜(2000-2022)的现代数据中得出PNI估计。我们使用这两个Ca ii K档案来识别极地网络区域,并使用自动自适应阈值分割技术计算PNI。从两个资料得到的PNI与Wilcox太阳观测站实测的极场(Pearson相关系数r > 0.93)和基于平流通量输运模型的极场(r > 0.91)有显著的相关性。PNI系列还显示了与威尔逊山天文台观测到的光斑数(r >.87)的显著相关性,这些观测来自Kodaikanal太阳天文台和罗马精密太阳光度望远镜的数据。最后,我们利用两个档案的PNI序列重建了119年的极磁场,其中包括最后11个太阳周期(周期14-24)。我们还获得了太阳周期的振幅(在13个月平滑的太阳黑子数中)与前一个太阳周期最小值重建的极场强度之间的关系,以验证正在进行的太阳周期第25周期的预测。