Ionosphere modeling in the context of Algerian Satellite-based Augmentation System
| Autor: | Azzedine Bouaraba, Jianguo Yan, Elhadi Takka, Aichouche Belhadj-Aissa, Biao Jin |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Atmospheric Science
Ground truth 010504 meteorology & atmospheric sciences GNSS augmentation Computer science business.industry Context (language use) European Geostationary Navigation Overlay Service Space weather Geodesy 01 natural sciences Physics::Geophysics Geophysics Space and Planetary Science Kriging GNSS applications Physics::Space Physics 0103 physical sciences Global Positioning System business 010303 astronomy & astrophysics 0105 earth and related environmental sciences |
| Zdroj: | Journal of Atmospheric and Solar-Terrestrial Physics. 193:105092 |
| ISSN: | 1364-6826 |
| DOI: | 10.1016/j.jastp.2019.105092 |
| Popis: | To guarantee safety-critical implementation of Algerian Satellite-based Augmentation Systems (SBAS), a comprehensive study of the impact of space weather on Global Navigation Satellite Systems (GNSS) over this region is necessary. In this work, three typical ionospheric algorithms: inverse distance weighting (IDW), kriging, and planar-fit were applied on GPS dual-frequency data from seven GPS stations spread over Algerian territory during three major geomagnetic storms of different intensity in addition to a quiet geomagnetic period. The performance of these ionospheric algorithms was investigated based on the broadcast ionospheric vertical delay (Grid Ionospheric Vertical Delay, GIVD) and its corresponding confidence bound error (Grid Ionospheric Vertical Error, GIVE) at two Ionospheric Grid Points (IGPs): (35°N, 5°E) and (30°N, 5°E), located in the Algerian mid-latitudes. The obtained GIVDs were compared to their corresponding delays estimated at nearby user stations as a first reference and to EGNOS messages as a second reference. In addition, the Global Ionospheric Maps (GIMs) from the International GNSS Service (IGS) was incorporated in the analysis. Our results indicate that the studied models provided equivalent accuracy even though kriging slightly outperformed the other models in most of the cases of study. The EGNOS model showed less agreement with the ground truth data during 2013 and 2015, while in 2017 became more accurate after the upgrade. The analysis of estimated GIVEs shows the ability of the three ionospheric models to protect and to safely bound GIVD errors while kriging is intended to provide better availability of Algerian SBAS. In addition, EGNOS GIVEs exhibit effective protection of users at the edge of its service area. |
| Databáze: | OpenAIRE |
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