Looking for granulation and periodicity imprints in the sunspot time series
Ilidio Lopes, Hugo G. Silva

TL;DR
This study introduces a novel wavelet-based spectral analysis of sunspot data, revealing a 22.67-day periodicity potentially linked to solar convection, alongside the known 22-year cycle and daily volatility.
Contribution
A new wavelet spectral method uncovers multiple periodicities in sunspot activity, including a previously unclear 22.67-day cycle, and analyzes hemispheric asymmetries.
Findings
Identified a 22.67-day periodicity in sunspot data.
Confirmed an 18.43-year solar magnetic cycle.
Detected hemispheric asymmetries in periodic sources.
Abstract
The sunspot activity is the end result of the cyclic destruction and regeneration of magnetic fields by the dynamo action. We propose a new method to analyze the daily sunspot areas data recorded since 1874. By computing the power spectral density of daily data series using the Mexican hat wavelet, we found a power spectrum with a well-defined shape, characterized by three features. The first term is the 22 yr solar magnetic cycle, estimated in our work to be of 18.43 yr. The second term is related to the daily volatility of sunspots. This term is most likely produced by the turbulent motions linked to the solar granulation. The last term corresponds to a periodic source associated with the solar magnetic activity, for which the maximum of power spectral density occurs at 22.67 days. This value is part of the 22-27 day periodicity region that shows an above-average intensity in the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
