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Basic Data Analysis for Time Series with R
book

Basic Data Analysis for Time Series with R

by DeWayne Derryberry
July 2014
Intermediate to advanced
320 pages
8h 11m
English
Wiley
Content preview from Basic Data Analysis for Time Series with R

17 WOLF'S SUNSPOT NUMBER DATA

17.1 BACKGROUND

From Wikipedia (“Wolf number” and “Solar Storm of 1859”), although this is all well known.

The Wolf number (also known as the International sunspot number, relative sunspot number, or Zürich number) is a quantity that measures the number of sunspots and groups of sunspots present on the surface of the sun.

The idea of computing sunspot numbers was originated by Rudolf Wolf in 1848 in Zurich, Switzerland and, thus, the procedure he initiated bears his name (or place). The combination of sunspots and their grouping is used because it compensates for variations in observing small sunspots.

This number has been collected and tabulated by researchers for over 150 years. They have found that sunspot activity is cyclical and reaches its maximum around every 9.5 to 11 years (note: Using data from SIDC for the last 300 years and running a FFT function on the data gives an average maximum at 10.4883 years/cycle). This cycle was first noted by Heinrich Schwabe in 1843.

The relative sunspot number R is computed using the formula (collected as a daily index of sunspot activity): R = k(10g + s) where sis the number of individual spots, g is the number of sunspot groups, and k is a factor that varies with location and instrumentation (also known as the observatory factor or the personal reduction coefficient K).

Sunspot activity, in general, is associated with specific events known as coronal mass ejections and solar flares (the degree to which ...

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Publisher Resources

ISBN: 9781118593363Purchase bookOther