Compliance of AE and Apo Indices Variations during 23−24 Solar Cycles

IF 0.7 4区 地球科学 Q4 GEOCHEMISTRY & GEOPHYSICS Geomagnetism and Aeronomy Pub Date : 2024-06-19 DOI:10.1134/S0016793224600115
T. L. Gulyaeva
{"title":"Compliance of AE and Apo Indices Variations during 23−24 Solar Cycles","authors":"T. L. Gulyaeva","doi":"10.1134/S0016793224600115","DOIUrl":null,"url":null,"abstract":"<p>The auroral electrojet index <i>AE</i> is often used in forecasting models as a driver of the disturbance propagation in the geosphere from the pole to middle and low latitudes. However, these data are not available digitally since January 2020. Instead of the <i>AE</i>-index, we suggest using the recently introduced 1 h <i>Apo</i>-index, given the close proximity of magnetometer networks for these indices at high latitudes and the availability of the <i>Apo</i>-index in real time. To this end their correlation is analyzed during 276 intense storms for 1995–2017. Storm profiles are constructed by method of superposed epochs with zero epoch time <i>t</i><sub>0</sub> = 0 taken at the threshold value of <i>AE</i> ≥ 1000 nT. A comparison is made of the storm profiles of <i>AE</i>(<i>t</i>), <i>Apo</i>(<i>t</i>), the interplanetary electric field <i>E</i>(<i>t</i>) and the solar wind speed <i>Vsw</i>(<i>t</i>) within 72 h: 24 h before the storm peak <i>t</i><sub>0</sub>, and 48 h afterward. A good agreement is obtained between the sets of <i>AE</i>(<i>t</i>) and <i>Apo</i>(<i>t</i>) with a correlation coefficient of 0.70. Comparison with the interplanetary parameters testifies on the correlation of <i>AE</i>(<i>t</i>) and <i>Apo</i>(<i>t</i>) with the electric field <i>E</i>(<i>t</i>) but missing their linkage with the solar wind speed <i>Vsw</i>(<i>t</i>). A two-parametric formula is derived for dependence of the auroral electrojet index <i>AE</i>(<i>t</i>) on the interplanetary electric field <i>E</i>(<i>t</i>) and the geomagnetic <i>Apo</i>(<i>t</i>) index for the geomagnetic storm forecasting. In the absence of <i>E</i>(<i>t</i>) data, formulae for the dependence of <i>AE</i>(<i>t</i>) on <i>Apo</i>(<i>t</i>) is introduced for implementation in real time and the inverse dependence of <i>Apo</i>(<i>t</i>) on <i>AE</i>(<i>t</i>) for reconstruction of the 1 h <i>Apo</i>-index before 1995. Validation of the proposed models with data for 5 intense storms in 2018 has shown a close resemblance of the model with observation data of the <i>AE</i>-index with a high coefficient of determination <i>R</i> <sup>2</sup> ranging from 0.62 to 0.81.</p>","PeriodicalId":55597,"journal":{"name":"Geomagnetism and Aeronomy","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geomagnetism and Aeronomy","FirstCategoryId":"89","ListUrlMain":"https://link.springer.com/article/10.1134/S0016793224600115","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}
引用次数: 0

Abstract

The auroral electrojet index AE is often used in forecasting models as a driver of the disturbance propagation in the geosphere from the pole to middle and low latitudes. However, these data are not available digitally since January 2020. Instead of the AE-index, we suggest using the recently introduced 1 h Apo-index, given the close proximity of magnetometer networks for these indices at high latitudes and the availability of the Apo-index in real time. To this end their correlation is analyzed during 276 intense storms for 1995–2017. Storm profiles are constructed by method of superposed epochs with zero epoch time t0 = 0 taken at the threshold value of AE ≥ 1000 nT. A comparison is made of the storm profiles of AE(t), Apo(t), the interplanetary electric field E(t) and the solar wind speed Vsw(t) within 72 h: 24 h before the storm peak t0, and 48 h afterward. A good agreement is obtained between the sets of AE(t) and Apo(t) with a correlation coefficient of 0.70. Comparison with the interplanetary parameters testifies on the correlation of AE(t) and Apo(t) with the electric field E(t) but missing their linkage with the solar wind speed Vsw(t). A two-parametric formula is derived for dependence of the auroral electrojet index AE(t) on the interplanetary electric field E(t) and the geomagnetic Apo(t) index for the geomagnetic storm forecasting. In the absence of E(t) data, formulae for the dependence of AE(t) on Apo(t) is introduced for implementation in real time and the inverse dependence of Apo(t) on AE(t) for reconstruction of the 1 h Apo-index before 1995. Validation of the proposed models with data for 5 intense storms in 2018 has shown a close resemblance of the model with observation data of the AE-index with a high coefficient of determination R2 ranging from 0.62 to 0.81.

Abstract Image

Abstract Image

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
23-24 太阳周期中 AE 和 Apo 指数变化的一致性
摘要极光电喷指数AE经常被用于预报模式中,作为扰动在地圈从极地向中低纬度传播的驱动力。然而,自 2020 年 1 月起,这些数据无法以数字形式提供。我们建议使用最近推出的 1 h Apo 指数来代替 AE 指数,因为这些指数在高纬度的磁强计网络非常接近,而且 Apo 指数可以实时获得。为此,我们分析了 1995-2017 年间 276 次强烈风暴中这两个指数的相关性。风暴剖面是通过叠加历元的方法构建的,零历元时间 t0 = 0 取自 AE ≥ 1000 nT 的临界值。比较了风暴峰值 t0 前 24 小时和风暴峰值 t0 后 48 小时 72 小时内 AE(t)、Apo(t)、行星际电场 E(t) 和太阳风速度 Vsw(t) 的风暴剖面。AE(t)和Apo(t)的相关系数为0.70,两者之间的一致性很好。与行星际参数的比较证明了 AE(t) 和 Apo(t) 与电场 E(t) 的相关性,但缺少它们与太阳风速度 Vsw(t) 的联系。推导出了极光电喷指数 AE(t) 与行星际电场 E(t) 和地磁 Apo(t) 指数的双参数公式,用于地磁暴预报。在没有 E(t)数据的情况下,介绍了 AE(t)对 Apo(t)的依赖公式,以便实时实施,并介绍了 Apo(t)对 AE(t)的反依赖关系,以便重建 1995 年前的 1 h Apo 指数。利用 2018 年 5 次强风暴的数据对所提出的模型进行了验证,结果表明模型与 AE 指数的观测数据非常相似,决定系数 R 2 在 0.62 至 0.81 之间。
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
Geomagnetism and Aeronomy
Geomagnetism and Aeronomy Earth and Planetary Sciences-Space and Planetary Science
CiteScore
1.30
自引率
33.30%
发文量
65
审稿时长
4-8 weeks
期刊介绍: Geomagnetism and Aeronomy is a bimonthly periodical that covers the fields of interplanetary space; geoeffective solar events; the magnetosphere; the ionosphere; the upper and middle atmosphere; the action of solar variability and activity on atmospheric parameters and climate; the main magnetic field and its secular variations, excursion, and inversion; and other related topics.
期刊最新文献
Calculation of Geomagnetic Cutoff Rigidity Using Tracing Based on the Buneman–Boris Method Evaluation of Dynamic Attributes and Variability of Ionospheric Slant Total Electron Content Using NavIC Satellite System Predicting the Unpredictable: Advancements in Earthquake Forecasting Using Artificial Intelligence and LSTM Networks Ionospheric Whispers of the Earth’s Tremors: Decoding TEC Mysteries in the East Anatolian Fault Zone On the Possible Relationship of a Set of Statistically Revealed Quasi-Linear Local Trends of Variations in the Magnetic Field Parameters Prior to Earthquakes in Seismically Active Zones of the Black Sea, Caucasus, and Western Asia
×
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