地磁活动对电离层f0F2月中值的影响与国际参考电离层误差

利用我国9个中低纬度的电离层观测站在1977-1986年间观测的f0F2月中值,按每月的平均地磁活动指数Ap分为地磁活动高（Ap≥5）和低（Ap＜15）两种情况,研究了地磁活动对f0F2月中值平均低纬电离层驼峰区演变的影响,并考察了国际参考电离层（IRI）的误差．     

电离层数字测高仪被动接收观测模式研究

利用CADI(Canadian Advanced Digital Ionosonde)电离层数字测高仪平台,实现了新的电离层数字测高仪被动接收观测模式.利用新开发的观测模式,在观测台站开展了一系列实验观测研究,经过信号处理和信息提取,获得了电离层特征参量f0F2回归方程,高频信道背景噪声分布,电离层D层对电波的吸收等电离层探测信息.实验观测结果表明,所获取的f0F2与主动探测结果相关性在0.84以上,高频信道背景噪声分布以及电离层D层吸收状况与电离层实际分析结果相吻合.     

IRI-2007对扩展F的预测与观测比较研究

通过对赤道地区两台站的扩展F 实际观测值与IRI-2007 模型预测值的比较, 研究了该模型预测结果的地域局限性和预测的准确度. 该模型建立在美洲扇区赤道附近台站资料基础上, 本文选取非洲扇区大体同纬度两个台站资料进行对比研究. 统计结果表明, 无论在发生概率日均值的年变化趋势上, 还是在扩展F 发生率年均值随地方时变化以及随太阳活动的统计中, 都存在着明显的差异; 而对非洲两站实测值的分析和IRI-2007 模型对南美巴西地区的预测又分别与当前已有的研究结果相符. 分析结果表明, (1) 建立在巴西台站数据基础上的IRI-2007 模型的统计建模极具参考价值; (2) 赤道和低纬度电离层扩展F 现象有强烈的经度效应, 在该模型建模方法基础上, 结合不同扇区实际资料的统计, 能改进该模型全球应用的普适性; (3) IRI-2007模型能正确反映巴西地区扩展F 的发生概率, 用该模型和其他扇区不同条件下的实测值对比, 提供了一个细致研究扩展F经度效应的基础, 有利于确认导致扩展F发生的基本条件和多种影响因素的具体作用.      

1998年5月磁暴事件期间全球电离层响应形态与机制的研究

利用全球40余个电离层台站的f0F2观测数据，采取对经度进行分区处理的方法，通过计算各台站f0F2参数对其月中的偏离百分比，对1998年5月大磁爆期间的电离层扰动形态进行了分析，并对可能的扰动机制进行了探讨，结果表明本次磁暴事件中，在磁暴主要活动相期间的电离层扰动与暴环流理论所描述的电脑层扰动特征相符，但在恢复相后期欧洲扇区台站出现的正相扰动似不能用暴环流理论来解释，它可能对应期间的行星行条件（太阳风与行星际磁场）的变化有关。     

利用神经网络预报中国地区电离层f0F2

利用神经网络技术并考虑太阳和地磁活动对电离层的影响,提出了一种提前5 h预报中国地区电离层临界频率f0F2的方法.网络输入包括时间、季节、地理纬度、太阳天顶角、最近一天的12个观测值(F-23,F-22,F-21,F-20,F-19,F-18,F-5,F-4,F-3,F-2,F-1,F0)和前30天滑动平均值(A-24,A-23,A-22,A-4,A-3A-2,A-1,A0),网络输出分别为未来5 h的f0F2值F+1,F+2,F+3,F+4,F+5.选取乌鲁木齐、长春、重庆和广州站1958-1968年间的数据训练网络,利用中国9个电离层站的历史数据检验网络,根据均方根误差衡量网络性能的好坏.结果表明,神经网络的预报结果能较好地符合实测数据.这说明利用神经网络实现中国地区电离层f0F2的时空预报是可行的.     

利用神经网络预报电离层f0F2

由中国武汉电离层台站和澳大利亚Hobart台站的电离层F2层临界频率(f0F2)的资料,利用三层前向反馈神经网络(BP网络),提出一种提前24h预测f0F2的方法,该方法以前5天观测的f0F2数据拟合的5个系数以及太阳活动参数作为输入,以当天24 h的f0F2作为输出对网络进行训练,训练好的网络可以实现对f0F2提前24 h的预报.预测结果显示,利用神经网络预测的f0F2与实际观测结果变化趋势较一致,并且比IRI的计算结果更加准确.误差分析表明,在南半球Hobart(-42.9°,147.3°)台站比中国武汉站(30.4°,114.3°)的结果要好,在低年比高年要好,在冬夏季节比春秋季节稍好.本文说明利用神经网络对电离层参量进行预报是一种切实可行的方法.     

利用F_(10.7)短期预报电离层F_0F_2

通过对电离层历史数据和太阳射电流量F10.7的回归分析,提出了一种单站电离层f0F2的短期预报方法,以F10.7的流动平均值fc为输入,以未米3天的f0F2为输出,分别利用中国地区8个台站的数据进行检验,分析不同太阳活动水平、季节以及地方时预报误差的分布特征.结果表明,该方法能有效地预测未来1～3天的f0F2.该方法还可应用于其他电离层参量的短期预报.     

南极长城站电离层变化的数值模拟

南极长城站夏季电离层日变化具有Weddell海异常现象．本文利用一个一维时变理论模式，对长城站夏季电离层f0F2和hm日变化进行了数值模拟.我们讨论了中性风和顶部输运通量对f0F2和hm的影响，认为模拟计算得到的f0F2值比实测值要大的一个主要原因是国际参考电离层给出的上边界值偏大.文章最后介绍了一个获得实际的f0F2和hm的方法.     

电离层离子丰度对哨声传播经度效应的影响

Iss-b卫星探测结果表明,|电离层离子丰度呈现经度变化.本文选取较真实的电离层模型参数,对130°E和114°E两个子午面内传播的低纬哨声进行了射线跟踪.我们发现,由于[O~+],[He~+]和[H~+]决定的电子浓度垂直梯度的经度变化,导致哨声传播特性的经度效应,使得130°E比114°E内传播的低纬哨声更好地满足透射条件:|μsinδ|≤1.与电子浓度的水平梯度的影响比较,离子丰度决定的电子浓度垂直梯度随经度的变化使哨声传播产生的经度效应明显得多.武昌(地理30.5°N,114.6°E;地磁19.3°N).和鹿儿岛(31.5°N,130.8°E;20.5°N)两台站观测到的哨声出现率的经度效应证实了本文的理论预言.     

NeQuick模式在亚太地区扇区电离层参数f0F2的预测能力

利用亚洲、澳大利亚地区8个电离层观测台站的F2层临界频率f0F2的历史观测数据,考察了NeQuick模式预报电离层基本参数f0F2在亚太扇区的适应性.对比分析表明,此模式能比较好地预测各地的F2层临界频率,其绝对误差在南半球各站相对北半球各站较大,太阳活动高年相对太阳活动低年较大,春秋季相对夏冬季较大.其误差均方根在太阳活动高年相对太阳活动低年较大.      

IRI-90及其与中国电离层资料f_0F_2的比较

本文介绍了国际参考电离层IRI-90版中新增的内容,比较了它与IRI-86的主要差别。与我国电离层临频数据的统计分析表明,新版本对我国地区的适用程度有了改进。     

我国电离层基本参量与国际参考模式的比较

本文利用我国满洲里、北京、武昌、重庆和广州等台站电离层观测记录,对各层临界频率的实测值(月中值)与IRI-86的计算值进行了分析比较.|发现两者存在着显著而系统的偏离.E层和F₁层偏离较小F₂层偏离较大,其相对值有时超过60%.总的来说,f₀F₂的相对偏离:夜间大,白天小冬季大,夏季小太阳活动低年大,高年小随着纬度降低偏离增大模式值普遍大于实测值.      

Comparison of observed TEC values with IRI-2007 TEC and IRI-2007 TEC with optional foF2 measurements predictions at an equatorial region,Chumphon, Thailand

In this research, as part of working towards improving the IRI over equatorial region, the total electron content (TEC) derived from GPS measurements and IRI-2007 TEC predictions at Chumphon station (10.72°N, 99.37°E), Thailand, during 2004–2006 is analyzed. The seasonal variation of the IRI-2007 TEC predictions is compared with the TEC from the IRI-2007 TEC model with the option of the actual F2 plasma frequency (foF2) measurements as well as the TEC from the GPS and International GNSS service (IGS). The Chumphon station is located at the equatorial region and the low latitude of 3.22°N. For a declining phase of the solar cycle (2004–2006), the study shows that the IRI-2007 TEC underestimates the IRI-2007 TEC with the foF2 observation at the nighttime by about 5 TECU. The maximum differences are about 15 TECU during daytime and 5 TECU during nighttime. The overestimation is more evident at daytime than at nighttime. When compared in terms of the root-mean square error (RMSE), we find that the highest RMSE between GPS TEC and IRI 2007 TEC is 14.840 TECU at 1230 LT in 2004 and the lowest average between them is 1.318 TECU at 0630 LT in 2006. The noon bite-out phenomena are clearly seen in the IRI-2007 TEC with and without optional foF2 measurements, but not on the GPS TEC and IGS TEC. The IRI TEC with optional foF2 measurements gives the lowest RMSE values between IRI TEC predicted and TEC measurement. However, the TEC measurements (GPS TEC and IGS TEC) are more correct to use at Chumphon station.     

Evaluation of the improvement of IRI-2016 over IRI-2012 at the India low-latitude region during the ascending phase of cycle 24

This paper investigated the performance of the latest International Reference Ionosphere model (IRI-2016) over that of IRI-2012 in predicting total electron content (TEC) at three different stations in the Indian region. The data used were Global Positioning System (GPS) data collected during the ascending phase of solar cycle 24 over three low-latitude stations in India namely; Bangalore (13.02°N Geographic latitude, 77.57°E Geographic longitude), Hyderabad (17.25°N Geographic latitude, 78.30°E Geographic longitude) and Surat (21.16°N Geographic latitude, 72.78°E Geographic longitude). Monthly, the seasonal and annual variability of GPS-TEC have been compared with those derived from International Reference Ionosphere IRI-2016 and IRI-2012 with two different options of topside electron density: NeQuick and IRI01-corr. It is observed that both versions of IRI (i.e., IRI-2012 and IRI-2016) predict the GPS-TEC with some deviations, the latest version of IRI (IRI-2016) predicted the TEC similar to those predicted by IRI-2012 for all the seasons at all stations except for morning hours (0500 LT to 1000?LT). This shows that the effect of the updated version is seen only during morning hours and also that there is no change in TEC values by IRI-2016 from those predicted by IRI-2012 for the rest of the time of the day in the Indian low latitude region. The semiannual variations in the daytime maximum values of TEC are clearly observed from both GPS and model-derived TEC values with two peaks around March-April and September-October months of each year. Further, the Correlation of TEC derived by IRI-2016 and IRI-2012 with EUV and F10.7 shows similar results. This shows that the solar input to the IRI-2016 is similar to IRI 2012. There is no significant difference observed in TEC, bottom-side thickness (B0) and shape (B1) parameter predictions by both the versions of the IRI model. However, a clear improvement is visible in hmF2 and NmF2 predictions by IRI-2016 to that by IRI-2012. The SHU-2015 option of the IRI-2016 gives a better prediction of NmF2 for all the months at low latitude station Ahmedabad compare to AMTB 2013.     

Signatures of strong geomagnetic storms in the equatorial latitude

Ionosonde data from two equatorial stations in the African sector have been used to study the signatures of four strong geomagnetic storms on the height – electron density profiles of the equatorial ionosphere with the objective of investigating the effects and extent of the effects on the three layers of the equatorial ionosphere. The results showed that strong geomagnetic storms produced effects of varying degrees on the three layers of the ionosphere. Effect of strong geomagnetic storms on the lower layers of the equatorial ionosphere can be significant when compared with effect at the F2-layer. Fluctuations in the height of ionization within the E-layer were as much as 0% to +20.7% compared to −12.5% to +8.3% for the F2-layer. The 2007 version of the International Reference Ionosphere, IRI-07 storm-time model reproduced responses at the E-layer but overestimated the observed storm profiles for the F1- and F2-layers.     

亚大地区F2电离层预测方法和CCIR方法的比较

本文将“国际参考电离层”所采用的CCIR频率预测方法和亚大地区F_2电离层预测方法预测的f_0F_2和M(3000)F_2,分别与第21太阳活动周的我国实测数据进行了比较。结果表明,从总体上看,在中国区域内亚大地区F_2电离层预测方法优于CCIR方法。文章建议,在没有更好方法的情况下,未来的“中国参考电离层”可以采用亚大地区F_2电离层预测方法。     

Evaluation of the IRI-2007 model options for the topside electron density

The International Reference Ionosphere (IRI) 2007 provides two new options for the topside electron density profile: (a) a correction of the IRI-2001 model, and (b) the NeQuick topside formula. We use the large volume of Alouette 1, 2 and ISIS 1, 2 topside sounder data to evaluate these two new options with special emphasis on the uppermost topside where IRI-2001 showed the largest discrepancies. We will also study the accurate representation of profiles in the equatorial anomaly region where the profile function has to accommodate two latitudinal maxima (crests) at lower altitudes but only a single maximum (at the equator) higher up. In addition to IRI-2001 and the two new IRI-2007 options we also include the Intercosmos-based topside model of Triskova, Truhlik, and Smilauer [Triskova, L., Truhlik, V., Smilauer, J. An empirical topside electron density model for calculation of absolute ion densities in IRI. Adv. Space Res. 37 (5), 928–934, 2006] (TTS model) in our analysis. We find that overall IRI-2007-NeQ gives the best results but IRI-2007-corrected provides a more realistic representation of the altitudinal–latitudinal structure in the equatorial anomaly region. The applicability of the TTS model is limited by the fact that it is not normalized to the F2 peak density and height.     

Global validation of IRI TEC for high and medium solar activity conditions

The IRI model offers a choice of options for the computation of the electron density profile and electron content (TEC). Recently new options for the topside electron density profile have been developed, which have a strong impact on TEC. Therefore it is important to test massively the IRI and the new options with experimental data. A large number of permanent stations record dual frequency GPS data from which it is possible to obtain TEC values. Thirty-one worldwide distributed stations have been selected to investigate the capabilities of the IRI to reproduce experimental TEC. Data for years 2000 (high solar activity) and 2004 (medium solar activity) have been analyzed computing modeled values with the IRI-2001 and the IRI-2007-NeQuick topside options. It is found that IRI-2007-NeQuick option generally improves the estimate of the slant TEC, especially in the case of high latitudes stations during high solar activity.     

国际参考电离层IRI－90与中国实测电离层月平均电子密度剖面形状的比较

将太阳活动峰年期间中国4个电离层站垂直探测得到的月平均电子浓度剖面与国际参考电离层IKI-90进行了系统的比较。结果表明国际参考电离层所计算的峰下电子含量(或峰下半厚)总体来说偏大。一天中白天符合较好,晚上较差,对中纬台站较好,对低纬台站较差。      

一种电离层垂直剖面物理模型及其与IRI-90模型的比较

在80-500km范围内考虑了3种中性成份的4种离子,从严格的电子和离子密度连续方程出发,对中性风和扩散效应进行了全面、连续的考虑,由此建立了一种电离层的物理模式;在此模式的基础上针对北京地区分别对太阳活动低年(F_10.7=60)、高年(F_10.7=300)的春(DOY=90)、夏(DOY=180)、秋(DOY=270)、冬(DOY=365)进行计算,并将所得结果与IRI-90进行了比较.结果表明: E层为典型的Chapman层: E-F谷区深度一般为0.2-0.5之间,比IRI要深;F₁缘在太阳活动低年的四季都出现,其中夏天最明显,已形成了一个F₁层,冬天最不明显,仅表现为一个轻微的凸缘,在太阳活动高年只有夏天出现了F₁凸缘,这与现有理论相符合,而IRI-90较少出现明显的F₁缘;F₂层的电子密度是活动高年比低年大,平均冬天比夏天大,这与观测结果也基本符合.