GNSS Receiver Bias Model for Near Real Time TEC Monitoring at Low Latitude, Thailand

dc.contributor.authorPrasert Kenpankho
dc.contributor.authorSamatchaya Maichuen
dc.contributor.authorPrarinya Phothila
dc.contributor.authorJianfeng Zhang
dc.contributor.authorThanapon Keokhumcheng
dc.contributor.authorSontaya Ruttanaburee
dc.contributor.authorPatinya Pornsopin
dc.date.accessioned2026-05-08T19:26:32Z
dc.date.issued2026-3-12
dc.description.abstractThis research proposes and investigates GNSS receiver bias modeling for near real time total electron content (TEC) monitoring across 16 multi‑frequency GNSS stations in low latitude, Thailand, from 2022‑2024. By applying a refined methodology based on Kenpankho et al. (2021) and integrating IONOLAB‑BIAS for single station bias estimation, the research corrects for satellite and receiver inter‑frequency biases to enhance TEC accuracy. Results show a consistent upward trend in TEC values, reflecting increased latitudes, seasonal ionospheric activity, and geomagnetic storms. Comparative analysis with the IRI 2020 model using correlation coefficients and RMSE reveals spatial and temporal variation, with near equatorial latitude stations showing strong alignment than upper low latitude stations. The results highlight the importance of localized GNSS‑based TEC models for improving satellite positioning accuracy in equatorial regions and highlight the limitations of global models under dynamic ionospheric conditions.
dc.identifier.doi10.4401/ag-9473
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/20667
dc.publisherAnnals of Geophysics
dc.subjectGNSS positioning and interference
dc.subjectIonosphere and magnetosphere dynamics
dc.subjectSoil Moisture and Remote Sensing
dc.titleGNSS Receiver Bias Model for Near Real Time TEC Monitoring at Low Latitude, Thailand
dc.typeArticle

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