Long-term evolution of solar activity and prediction of the followingsolar cycles

Peixin Luo, Baolin Tan
{"title":"Long-term evolution of solar activity and prediction of the followingsolar cycles","authors":"Peixin Luo, Baolin Tan","doi":"10.1088/1674-4527/ad1ed2","DOIUrl":null,"url":null,"abstract":"\n Solar activities have a great impact on modern high-tech systems, such as human aerospace, satellite communication and navigation, deep space exploration, and related scientific research. Therefore, studying the long - term evolution trend of solar activity and accurately predicting the future solar cycles is highly anticipated. Through wavelet transform and empirical function fitting of the longest recorded data of the annual average relative sunspot number (ASN) series of 323 years to date, this work decisively verified the existence of the solar century cycles and confirmed that its length is about 104.0 years, and the magnitude has a slightly increasing trend on the time scale of several hundreds of years. Based on this long-term evolutionary trend, we predicted solar cycle 25 and 26 by using phase similar prediction methods. As for the solar cycle 25, its maximum ASN will be about 146.7 ± 33.40, obviously stronger than solar cycle 24. The peak year will occur approximately in 2024, and the cycle length is about 11 ± 1 years. As for the solar cycle 26, it will start around 2030, reach the maximum between 2035 and 2036, with maximum ASN of about 133.0 ± 3.200, and the cycle length is about 10 years.","PeriodicalId":509923,"journal":{"name":"Research in Astronomy and Astrophysics","volume":"7 7","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research in Astronomy and Astrophysics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1088/1674-4527/ad1ed2","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

Solar activities have a great impact on modern high-tech systems, such as human aerospace, satellite communication and navigation, deep space exploration, and related scientific research. Therefore, studying the long - term evolution trend of solar activity and accurately predicting the future solar cycles is highly anticipated. Through wavelet transform and empirical function fitting of the longest recorded data of the annual average relative sunspot number (ASN) series of 323 years to date, this work decisively verified the existence of the solar century cycles and confirmed that its length is about 104.0 years, and the magnitude has a slightly increasing trend on the time scale of several hundreds of years. Based on this long-term evolutionary trend, we predicted solar cycle 25 and 26 by using phase similar prediction methods. As for the solar cycle 25, its maximum ASN will be about 146.7 ± 33.40, obviously stronger than solar cycle 24. The peak year will occur approximately in 2024, and the cycle length is about 11 ± 1 years. As for the solar cycle 26, it will start around 2030, reach the maximum between 2035 and 2036, with maximum ASN of about 133.0 ± 3.200, and the cycle length is about 10 years.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
太阳活动的长期演变和对后续太阳周期的预测
太阳活动对人类航空航天、卫星通信与导航、深空探测及相关科学研究等现代高科技系统具有重大影响。因此,研究太阳活动的长期演变趋势,准确预测未来的太阳周期备受期待。这项工作通过对迄今为止记录最长的 323 年太阳黑子年平均相对数(ASN)序列数据进行小波变换和经验函数拟合,果断地验证了太阳世纪周期的存在,并确认其长度约为 104.0 年,且其幅度在数百年的时间尺度上呈小幅上升趋势。根据这一长期演变趋势,我们用相近的预测方法预测了太阳周期 25 和 26。太阳周期 25 的最大 ASN 约为 146.7 ± 33.40,明显强于太阳周期 24。峰值年大约出现在 2024 年,周期长度约为 11 ± 1 年。至于太阳周期 26,它将于 2030 年左右开始,在 2035 至 2036 年之间达到最大值,最大 ASN 约为 133.0 ± 3.200,周期长度约为 10 年。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Supermassive primordial black holes for nano-Hertz gravitational waves and high-redshift JWST galaxies The design of GECAM Scientific Ground Segment Charged Particles Capture Cross-Section by a Weakly Charged Schwarzschild Black Hole Photometric studies of EV Cnc and AH Cnc in the open cluster M 67 X-ray Sources Classification Using Machine Learning: A Study with EP-WXT Pathfinder LEIA
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1