Articles | Volume 18, issue 10
https://doi.org/10.5194/essd-18-7575-2026
https://doi.org/10.5194/essd-18-7575-2026
Data description article
 | 
19 Oct 2026
Data description article |  | 19 Oct 2026

TED: a global temperature-driven thermoelastic displacement dataset for GNSS reference stations (2000–2023)

Ran Lu, Zhao Li, Lingfeng Ye, Peng Yuan, and Yanming Feng

Data sets

TED: A global temperature-driven thermoelastic displacement dataset for GNSS reference stations (2000–2023) Ran Lu et al. https://doi.org/10.5281/zenodo.21069958

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Short summary
Temperature variations cause thermoelastic deformation in shallow subsurface materials, producing millimetre-level signals in GNSS height time series. We release a global dataset of vertical thermoelastic displacement (TED) for ~14,000 GNSS stations from 2000 to 2023. The dataset uses hourly ERA5 soil-temperature forcing and depth-dependent subsurface properties from global soil datasets. It provides station-level TED corrections for GNSS height time series and related geophysical applications.
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