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February 19, 2026Journal of Applied Geodesy0 citations

Construction of models of temperature dependent variations in the position of IGS/NGS stations located on buildings and other structures. Case Washington, USA

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NBN.A. Bovshin

Key Points

  • The study investigates how temperature impacts the positioning of GNSS stations located on buildings.
  • Analyzed data from five continuously operating GNSS stations in Washington, USA.
  • Examined seasonal variations in the relative positions of GNSS stations.
  • Utilized relative GPS positioning on short baselines for high sensitivity analysis.
  • Constructed models predicting station positions based on thermal effects without external references.
  • Identified significant seasonal variations in GNSS station positions linked to temperature changes.
  • Demonstrated that models accurately predict station locations in different observational periods.
  • Highlighted the potential for thermal tie, allowing thermal parameters to be applied to new stations.

Abstract

Abstract In this work, a study of a compact group of five continuously operating GNSS stations was carried out. It based on the previously obtained results of studies of the effect of thermal compression-expansion of buildings as foundations of geodetic stations, conditions for the manifestation of this effect in variations of geodetic stations positions and properties of these variations. The study examined seasonal variations in relative positions of stations in this network. Relative GPS positioning on very short baselines that has very high sensitivity was used for the study. Based on the analysis of the properties of the time series obtained for all possible baselines in this network, it is shown that the seasonal variations observed in these time series reflect the influence of changes in ambient temperature. From point of view of the problem being solved, this group of stations has an important property: all stations are installed on the roofs of buildings, with almost all station located near the edges of the roofs, and only one station located near the middle of the roof. Using this property, models of variations of these stations positions under influence of this effect were constructed without the use of external reference stations. The constructed high-precision models are suitable for practical use – predicting actual positions of these stations in arbitrary observation epochs. The possibilities of “thermal tie” – the dissemination of thermal dependence parameters from known stations to new ones – are considered.

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Cite This Study

N.A. Bovshin (2026) studied this question.

synapsesocial.com/papers/6996a8c7ecb39a600b3efd8bhttps://doi.org/10.1515/jag-2025-0109
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