{"title":"23-24 太阳周期中 AE 和 Apo 指数变化的一致性","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":"{\"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}","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}
Compliance of AE and Apo Indices Variations during 23−24 Solar Cycles
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.
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.