K. P. Raju, Jagdev Singh, B. Ravindra, Muthu Priyal
{"title":"Correlation between Supergranular Lane Widths and Sunspot Number; A Simple Way to Predict the Amplitude of Sunspot Cycle","authors":"K. P. Raju, Jagdev Singh, B. Ravindra, Muthu Priyal","doi":"10.3847/2041-8213/ad13e9","DOIUrl":null,"url":null,"abstract":"The network structure seen in the solar images is the outline of supergranulation, which is the large-scale convection in the Sun with a size of about 30 Mm and a lifetime of 24 hr. We have obtained the supergranulation lane widths from the autocorrelation function of image windows from the Ca ii K spectroheliograms. The images are obtained from the 100 yr Kodaikanal data, which contains information on more than nine solar cycles. The lane widths are known to show a positive correlation with the sunspot number. It is now found that the lane widths, obtained near the mid-latitudes during the sunspot cycle minima, are strongly correlated to the following sunspot number maxima. A straight-line fit adequately describes the variation. It is also found that the correlation is weak or insignificant at other times. The strong correlation of the two parameters thus provides a simple way to predict the maximum sunspot number about 4–5 yr in advance. The results are important in space weather predictions and solar irradiance variations.","PeriodicalId":179976,"journal":{"name":"The Astrophysical Journal Letters","volume":"62 21","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Astrophysical Journal Letters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3847/2041-8213/ad13e9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The network structure seen in the solar images is the outline of supergranulation, which is the large-scale convection in the Sun with a size of about 30 Mm and a lifetime of 24 hr. We have obtained the supergranulation lane widths from the autocorrelation function of image windows from the Ca ii K spectroheliograms. The images are obtained from the 100 yr Kodaikanal data, which contains information on more than nine solar cycles. The lane widths are known to show a positive correlation with the sunspot number. It is now found that the lane widths, obtained near the mid-latitudes during the sunspot cycle minima, are strongly correlated to the following sunspot number maxima. A straight-line fit adequately describes the variation. It is also found that the correlation is weak or insignificant at other times. The strong correlation of the two parameters thus provides a simple way to predict the maximum sunspot number about 4–5 yr in advance. The results are important in space weather predictions and solar irradiance variations.
在太阳图像中看到的网络结构是超粒化的轮廓,超粒化是太阳中的大尺度对流,其大小约为 30 毫米,寿命为 24 小时。我们从 Ca ii K 分光日线图图像窗口的自相关函数中获得了超粒道宽度。这些图像来自 100 年的 Kodaikanal 数据,其中包含超过九个太阳周期的信息。车道宽度与太阳黑子数量呈正相关。现在发现,在太阳黑子周期最小值期间,在中纬度附近获得的道宽与随后的太阳黑子数最大值密切相关。直线拟合充分描述了这一变化。研究还发现,在其他时间,相关性较弱或不明显。因此,这两个参数的强相关性为提前约 4-5 年预测太阳黑子数最大值提供了一种简单的方法。这些结果对于空间天气预报和太阳辐照度变化具有重要意义。