Time Series Analysis of Variance of Sunspots in January till September 2010 and Correlation with Sunspots Areas
Zety Sharizat Hamidi, N.N.M. Shariff, F. N. Zainal Ulum, Zainal Abidin, Zainol Abidin Ibrahim
Abstract
Zety Sharizat Hamidi, N.N.M. Shariff, F. N. Zainal Ulum, Zainal Abidin, Zainol Abidin Ibrahim
Abstract
This paper analyzed theoretically the short period variability of the sunspot activity beginning from January 2010 till September 2010. Sunspot data are taken from Solar Influences Data Analysis Center (SIDC). We focused on the number of sunspots each month and correlate it with sunspot are aparameter. From the analysis, it is found that there is a little correlation between the amplitude of a cycle. The pattern shown an almost linear relationship between both parameters. It also showed that the highest sunspot number per day that has been recorded is in May. The Sun was found to be most active in August and passive in April according to the number of sunspots. Uniquely, there is also no sunspot at all in a day. This study gives some interesting and potentially important clues especially in understanding the physical processes responsible for the solar activity and the solar cycle phenomena. Based on our analysis, we found that the average relation between sunspot number, R and sunspot area, A is A = 5.179R.
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This paper analyzed theoretically the short period variability of the sunspot activity beginning from January 2010 till September 2010. Sunspot data are taken from Solar Influences Data Analysis Center (SIDC). We focused on the number of sunspots each month and correlate it with sunspot are aparameter. From the analysis, it is found that there is a little correlation between the amplitude of a cycle. The pattern shown an almost linear relationship between both parameters. It also showed that the highest sunspot number per day that has been recorded is in May. The Sun was found to be most active in August and passive in April according to the number of sunspots. Uniquely, there is also no sunspot at all in a day. This study gives some interesting and potentially important clues especially in understanding the physical processes responsible for the solar activity and the solar cycle phenomena. Based on our analysis, we found that the average relation between sunspot number, R and sunspot area, A is A = 5.179R.
Key concepts: Sunspot, Sunspot number, Solar minimum, Physics, Series (stratigraphy), Meteorology, Climatology, Solar cycle