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April 12, 2026Journal of Geophysical Research Space Physics

A Computationally Efficient Method for Deriving Instantaneous F2 Layer Peak Parameters From Climatological Maps and TEC Observations

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Authors

TGT. L. GulyaevaFAFeza ARIKANMHManuel Hernández‐Pajares

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Overview

A computational method improves instantaneous ionospheric predictions using recent TEC data, indicating enhanced accuracy.

Key Points

  • The study aims to develop a method for deriving instantaneous foF2 and hmF2 parameters from observational data, improving computational efficiency.
  • Utilized empirical median TEC derived from the past 15 days.
  • Executed selected IRI‐Plas subroutines to incorporate daily hourly TEC.
  • Validated the new approach with real-time Global Ionospheric Maps and ionosonde data.
  • Achieved root mean square errors of 0.4–2.0 MHz for foF2 and 31–50 km for hmF2.
  • Improved RMSE of IRI‐Plas TEC by up to 10-fold compared to standard methods.
  • Provided better climatological reference using the −15 day empirical median over the standard model.

Cite This Study

Gulyaeva et al. (2026) studied this question.

synapsesocial.com/papers/69db37b04fe01fead37c5c89https://doi.org/10.1029/2025ja034160
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Assessment of Current Capabilities in Modeling the Ionospheric Climatology for Space Weather Applications: foF2 and hmF2‐II2025 · 8 citations
  2. 2Empirical Models of foF2 and hmF2 Reconstituted by Global Ionosonde and Reanalysis Data and COSMIC Observations2024 · 2 citations
  3. 3Evaluation of COSMIC‐2 Satellite Data for foF2 and hmF2 Against Ground‐Based Ionosondes and the PyIRI (2020) Model Across Middle to Low Latitudes2026 · 2 citations
  4. 4Global accuracy and positioning performance of the IRI-Plas 2020 ionospheric model based on GNSS TEC2026
  5. 5A Major Update to the PyIRI Model2026