Spectral analysis of sunspot data

Sunspot data has been collected since at least 1700 and vary over an eleven-year cycle. The sunspot number is testimony to internal processes in the sun and also affects conditions on earth. As the sunspot number increases, there are more geomagnetic storms and the more likely is the appearance of Northern Lights. Also, the higher the sunspot number, the more the ionosphere is ionized and radio propagation on the high shortwave bands from about 10 to 30 MHz improves. This work involves spectral analysis and coherence analysis of sunspot and related data series.

The topic’s history should be traced back to at least (Yule, 1927) and the various methods should be implemented in a user-friendly Matlab program. The methods should include all the common spectral methods (see e.g. INF4480), the linear and circular spectral analysis methods of (Stothers, 1991) based on peak values only, and the singular spectrum analysis of (Courtillot et al, 2021). Related data such as those considered in (McIntosh et al, 2020) and others should also be analyzed and the coherence should be found between those and the sunspot number, see e.g. (Holm, 2015).

An example of spectral analysis is here:

Spektralanalyse av solflekker 1750-2020

The raw data and more examples can be found here, https://la3za.blogspot.com/2021/01/eleven-and-87-year-sunspot-cycles.html. Analysis of historical data reconstructed by proxy several millennia back is also of interest, see (Usosklin, 2017). This paper also contains a tutorial introduction to the topic of sunspots.

References:

Published Feb. 5, 2021 9:50 PM - Last modified Feb. 12, 2021 12:11 PM

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