Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 18, issue 10
Articles | Volume 18, issue 10
https://doi.org/10.5194/essd-18-7575-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-18-7575-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 10
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

Viewed

Total article views: 1,039 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
585 343 111 1,039 141 106
  • HTML: 585
  • PDF: 343
  • XML: 111
  • Total: 1,039
  • BibTeX: 141
  • EndNote: 106
Views and downloads (calculated since 04 Feb 2026)
Cumulative views and downloads (calculated since 04 Feb 2026)

Viewed (geographical distribution)

Total article views: 1,039 (including HTML, PDF, and XML) Thereof 1,039 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 19 Oct 2026
Download
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.
Read more
Share
Altmetrics
Final-revised paper
Preprint