Papers

  1. Jarmolowski, W., Belehaki, A., Wielgosz, P., Krypiak-Gregorczyk, A., Hernandez-Pajares, M., Olivares Pulido, G., Galkin, I., Milanowska, B., Rapinski, J., Fabbro, V., Baumann, X., "Time-frequency Fourier analysis and filtering of Global Ionosphere Maps for space weather applications", Annals of Geophysics, 2026. [under review]  
  2. Jarmolowski, W., Belehaki, A., Wielgosz, P., Krypiak-Gregorczyk, A., "Different time-frequency characteristics of total electron content anomalies above two different tectonic plate boundaries at the same geomagnetic latitude.", Journal of Space Weather and Space Climate, 2026. [under review]
  3. Liu, A., Wang, N., Li, Z., Brack, A., Hernández-Pajares, M., Krankowski, A., Gini, F., Ghoddousi-Fard, R., Liu, Q., Wang, L., Fron, A., Li, A., Liu, R., Xie, M. “FAIRS: a factor-adjusted ionospheric residual statistics approach for global ionospheric RMS mapping”, Satellite Navigation, 7(1), 20, 2026. 
  4. Monte-Moreno, E., Yang, H., & Hernández-Pajares, M., “Global ROTI forecasting with a Bayesian model based in long-tail distributions”, Satellite Navigation, 7(1), 1, 2026.
  5. She, H., Huang, G., Hernández-Pajares, M., Olivares-Pulido, G., Wang, L., Zhu, Z., & Lai, W., “Improved GRACE-FO orbit determination during the 2024 intense geomagnetic storms using onboard accelerometer measurements”, GPS Solutions, 30(4), 178, 2026.
  6. Wang, H., Liu, Q., Hernández-Pajares, M., Monte-Moreno, E., Yang, H., Yang, L., Zhang, C., Olivares-Pulido, G., Xu, K., “The influence of native temporal resolution on the performance of real-time global ionospheric maps”, GPS Solutions, 30(3), 143, 2026. 
  7. Smirnov, A., Asamoah, E. N., Navas-Portella, V., Kronberg, E. A., Lühr, H., Liu, Q., & Hernández-Pajares, M., “Global IsUG index maps for tracking ionospheric variability: a case study of the 4–5 November 2023 geomagnetic storm”, Journal of Space Weather and Space Climate, 16, 17, 2026.
  8. Gulyaeva, T. L., et al., "A computationally efficient method for deriving instantaneous F2 layer peak parameters from climatological maps and TEC observations.", Journal of Geophysical Research: Space Physics 131.4 (2026): e2025JA034160.
  9. Xu, Kualong, et al., "Monitoring and prediction of ionospheric spatial gradients from global ionosphere maps: a comparative analysis.", GPS Solutions 30.1 (2026): 1-19.
  10. Adil, M. A., Hadas, T., Yang, H., & Hernandez-Pajares, M., "Quality assessment of the real-time global ionospheric maps following varying solar dynamics and a severe geomagnetic storm.", GPS Solutions 29.1 (2025): 58.
  11. Li, Ang, et al., "RT-FAIRS: Real‐time factor-adjusted ionospheric residual statistics approach for generating accuracy information in global ionospheric maps.", Space Weather 24.4 (2026): e2025SW004769.
  12. Zhang, Yuzhi, et al., "IonoMoni: ionospheric monitoring based on dual-frequency data from single GNSS station.", GPS Solutions 30.2 (2026): 100.
  13. Mao, Shuyin, Manuel Hernández-Pajares, and Benedikt Soja, "A review of machine learning-based ionospheric spatial and temporal modeling.", Journal of Geophysical Research: Machine Learning and Computation 2.3 (2025): e2024JH000555.
  14. Lyu, Haixia, et al., "Global 3D ionospheric shape function modeling with kriging: H. Lyu et al.", Journal of Geodesy 98.12 (2024): 104.
  15. Aroca-Farrerons, J.M., Hernández-Pajares, M., Lyu, H., Roma-Dollase, D., Orus-Perez, R., García-Rigo, A., Graffigna, V., Olivares-Pulido, G., Monte-Moreno, E., Yang, H. and Liu, Q., "The Spectrum of Global Electron Content: A New Potential Indicator of Space Weather Activity", Sensors, 24(2), p.393, 2024, https://doi.org/10.3390/s24020393.