Assessing the performance of IRI-2016 and IRI-2020 models using COSMIC-2 GNSS radio occultation TEC data under different magnetic activities over Egypt

被引:6
|
作者
Sherif, Ahmed [1 ,2 ]
Rabah, Mostafa [1 ]
Mousa, Ashraf ElKutb [2 ]
Zaki, Ahmed [3 ]
Sedeek, Ahmed [4 ]
机构
[1] Benha Univ, Benha Fac Engn, Dept Civil Engn, Banha, Egypt
[2] Natl Res Inst Astron & Geophys, Geodynam Dept, Helwan, Egypt
[3] Delta Univ Sci & Technol, Fac Engn, Civil Engn Dept, Gamasa 11152, Egypt
[4] Suez Univ, Fac Petr & Min Engn, Suez, Egypt
关键词
IRI; TEC; ionosphere; COSMIC-2; radio occultation; GPS;
D O I
10.1515/jag-2023-0068
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
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.
引用
收藏
页码:163 / 176
页数:14
相关论文
共 8 条
  • [1] Performance evaluation for vertical TEC predictions over the East Africa and South America: IRI-2016 and IRI-2020 versions
    Marew, Habtamu
    Agmas, Abebech
    Mersha, Tsedal
    ADVANCES IN SPACE RESEARCH, 2024, 73 (01) : 698 - 715
  • [2] Evaluation of PPP software performance for TEC estimation using IRI-2020, CODE, COSMIC, and SWARM with GNSS data
    Nagib, Reham
    Abdelfatah, Mohamed A.
    Mousa, Ashraf K.
    EL-Fiky, Gamal S.
    JOURNAL OF APPLIED GEODESY, 2025,
  • [3] Ionospheric TEC modeling using COSMIC-2 GNSS radio occultation and artificial neural networks over Egypt
    Sherif, Ahmed
    Rabah, Mostafa
    Mousa, Ashraf El-Kutb
    Zaki, Ahmed
    Anwar, Mohamed
    Sedeek, Ahmed
    JOURNAL OF APPLIED GEODESY, 2024, 18 (03) : 359 - 374
  • [4] Algorithm Research Using GNSS-TEC Data to Calibrate TEC Calculated by the IRI-2016 Model over China
    Zhang, Wen
    Huo, Xingliang
    Yuan, Yunbin
    Li, Zishen
    Wang, Ningbo
    REMOTE SENSING, 2021, 13 (19)
  • [5] Performance analysis of IRI-2016 and IRI-2020 models, and GPS and GLONASS-TEC variations, and their predictions using Artificial Neural Networks (ANNs) at low latitude station Agra, India
    Swati
    Gupta, Priya
    Dubey, Nitin
    Agarwal, Sparsh
    Singh, Dhananjali
    Pundhir, Devbrat
    JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS, 2025, 267
  • [6] Assessing the performance of IRI-2020 using GPS-TEC measurements in Türkiye under low solar activity conditions
    Kayacik, Orhan
    Dogan, Ali Hasan
    Erdogan, Bahattin
    SURVEY REVIEW, 2025,
  • [7] On the variations in equatorial and low-latitude GPS-TEC and assessment of NeQuick-2, IRI-2016 and IRI-2020 models in the African longitude during solar cycle 24-25
    Ogwala, Aghogho
    Akinbuli, Feyisara Fehintoluwa
    Panda, Sampad Kumar
    Jamjareegulgarn, Punyawi
    Siddiqui, Md Irfanul Haque
    Kayode, Yusuf Olanrewaju
    Ashraf, Intesaaf
    Somoye, Emmanuel Olufemi
    ADVANCES IN SPACE RESEARCH, 2025, 75 (05) : 4291 - 4316
  • [8] Comparison of bottomside ionospheric profile parameters (B0 and B1) extracted from FORMOSAT-7/COSMIC-2 GNSS Radio occultations with Digisondes and IRI-2016 model
    Singh, Arun Kumar
    Haralambous, Haris
    Panda, Sampad Kumar
    ADVANCES IN SPACE RESEARCH, 2022, 70 (04) : 1121 - 1141