使用COSMIC-2 GNSS无线电掩星TEC数据评估IRI-2016和IRI-2020模型在埃及上空不同磁活动下的性能

IF 1.2 Q4 REMOTE SENSING Journal of Applied Geodesy Pub Date : 2023-08-31 DOI:10.1515/jag-2023-0068
A. Sherif, M. Rabah, A. Mousa, A. Zaki, A. Sedeek
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引用次数: 1

摘要

考虑了COSMIC-2、IRI-2016和IRI-2020在轻微、中等和严重地磁风暴活动水平下的总电子含量(TEC)变化。TEC值在Kp指数的三个水平上进行仔细检查,Kp指数作为衡量磁风暴强度的度量(Kp = 3.0, Kp = 6.0, Kp = 8.0),并在24 h内跨越四个时间间隔,以了解模型在白天和夜间条件下的性能。统计分析表明,小风暴时TEC变化的标准差小于中、强风暴时的标准差。COSMIC-2射电掩星TEC与IRI-2016和IRI-2020模型之间的差异比较显示,白天间隔的差异更大;这可能归因于受太阳辐射和其他因素影响的电离层的动态和复杂性质。在三个风暴活动水平上的对比分析表明,IRI2020提供了比IRI2016更好的结果,特别是在小型地磁风暴事件期间。研究表明,IRI2020在预测电离层条件方面比IRI-2016更准确,特别是在夜间和中度地磁风暴活动期间。然而,这两种模型都在具有挑战性的空间天气条件下提供了有价值的见解,结果证明了它们在理解和预测电离层行为方面的实用性。这些结果对空间天气条件及其对技术和通信的影响提供了宝贵的见解,突出了进一步改进TEC预测模式的潜力。
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Assessing the performance of IRI-2016 and IRI-2020 models using COSMIC-2 GNSS radio occultation TEC data under different magnetic activities over Egypt
Abstract Variations in Total Electron Content (TEC) between the COSMIC-2, IRI-2016, and IRI-2020 are considered under different levels of geomagnetic storm activity: minor, moderate, and severe. TEC values are scrutinized at three levels of the Kp index, which serves as a metric for gauging the strength of a magnetic storm (Kp = 3.0, Kp = 6.0, Kp = 8.0) and across four-time intervals throughout 24 h to understand the performance of the models during both day and night-time conditions. Statistical analysis reveals that the standard deviation of TEC variations is lower during minor storms than moderate and severe. The comparison of variations between COSMIC-2 Radio Occultation TEC and both IRI-2016 and IRI-2020 models revealed more substantial discrepancies during day-time intervals; This was likely attributed to the dynamic and complex nature of the ionosphere influenced by solar radiation and other factors. Comparative analysis across the three levels of storm activity demonstrated that IRI2020 provided improved results over IRI2016, particularly during minor geomagnetic storm events. The study demonstrates that IRI2020 is more accurate than IRI-2016 at forecasting ionospheric conditions, especially at night and during moderate geomagnetic storm activity periods. Both models, however, provide valuable insights during challenging space weather conditions, and the results demonstrate their utility in understanding and forecasting the ionosphere’s behavior. The results yield valuable insights into space weather conditions and their effects on technology and communication, highlighting the potential for further improvement in TEC prediction models.
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来源期刊
Journal of Applied Geodesy
Journal of Applied Geodesy REMOTE SENSING-
CiteScore
2.30
自引率
7.10%
发文量
30
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