Technical Reports
| s/n | Title | Authors | Description | Date | DOI |
|---|---|---|---|---|
| 1 | Spectral analysis methodology and data requirements | W. Jarmolowski, P. Wielgosz, A. Krypiak-Gregorczyk (UWM) |
This document outlines data requirements and methodology of spectral analysis applicable to station-based, model-based and satellite-based ionospheric data. The DISPEC analysis will provide new high-level data applicable in correlation analyses, modeling and other Scientific Data Applications (SDA) tasks. The report includes a very preliminary round of processing with example data, demonstrating spectral analysis workflow. The parameters applied in this demonstration are unadjusted, and the figures have a preview character. | June 2024 | 10.5281/zenodo.12658002 |
| 2 |
DISPEC filters and quality control development methodology | A. Belehaki (NOA), K. Koutroumbas (NOA), M. Hernandez Pajares (UPC), I. Galkin (BGD) | This document is a report for the methodology proposed to adopt for the development of the DISPEC data filters and quality control procedures. Data filters are specific to each type of data collection. For ionograms, the proposed filters include an improved method for scaling. For the scaled characteristics, the proposed filters include an outlier detection system and data imputation. Regarding the data collected from GNSS receivers, the preprocessing of carrier phase measurements, will be considered in detail, by comparing the different implementations of the main dual-frequency cycle slip detection technique (the Blewitt technique), and also the new Doppler-based cycle-slip detection and correction technique, suitable for mid-cost single-frequency GNSS receivers and reducing the navigation error. |
October 2024 | https://doi.org/10.5281/zenodo.13899613 |
| 3 | Ionospheric Data Filters: A new method for ionograms scaling | K. Koutroumbas, A. Belehaki, G. Stamatakis (NOA) |
The presentation titled "Ionospheric Data Filters: A new method for Ionogram Scaling" (Presented in the DISPEC WP2 Review Meeting, held in July 2025) summarizes the design, development, and validation of an advanced method for automatic ionogram scaling using AI/ML techniques. The core goal is to improve the accuracy and confidence in determining key ionospheric parameters (especially foF2 and hmF2) from Digisonde data. Key points include:
Planned improvements include broader station testing, confidence scoring, hybrid time series filtering, and HLDP (High-Level Data Product) derivation. |
July 2025 | https://zenodo.org/records/16595537 |
| 4 | Validation and operational application of the hybrid NeQuick-TaD 3D ionospheric electron density reconstruction model | A. Belehaki, G. Stamatakis, T. Herekakis, A. Thanasou (NOA) |
The current study presents the hybrid NeQuick-TaD (HyNT) 3D ionospheric electron density reconstruction model, which is based on the TaD extrapolation concept applied over the bottomside 3D electron density grids, calculated with the NeQuick model and updated with Digisonde data. For the validation of the model, the results obtained for the European middle-latitude region, are compared with COSMIC-2 RO (Radio Occultation) data and with in situ Swarm electron density data. The relative performance of the HyNT model and of the standard IRI2020 climate model and the F2-peak constrained IRI2020 model is assessed based on the mean absolute error (MAE) obtained over the statistical sample of data available from 2023 to 2025. The results indicate that the model performance depends on the altitude, while it is assumed that some degradation maybe due to the legacy core models for the scale height and transition height forming the core of the TaD formulation. Another point for future investigation is the dependence of the TaD core model from data not directly observed but calculated, such as the automatic scaled Digisonde profiles and the TEC, while the standard IRI is based on smooth median values that smooth potential offsets.
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August 2025 | https://zenodo.org/records/16939793 |