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.
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.
the Creative Commons Attribution 4.0 License.
TED: a global temperature-driven thermoelastic displacement dataset for GNSS reference stations (2000–2023)
GNSS Research Center, Hubei Luojia Laboratory, Wuhan University, Wuhan 430079, China
School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
Department of Land Surveying and Geospatial Science, The Hong Kong Polytechnic University, Hong Kong, China
Zhao Li
CORRESPONDING AUTHOR
GNSS Research Center, Hubei Luojia Laboratory, Wuhan University, Wuhan 430079, China
School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
Lingfeng Ye
Faculty of Science, Queensland University of Technology, Brisbane, QLD 4000, Australia
Peng Yuan
GFZ Helmholtz Centre for Geosciences, Potsdam, Germany
Yanming Feng
Faculty of Science, Queensland University of Technology, Brisbane, QLD 4000, Australia
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-1-2023, 153–159, https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-153-2023, https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-153-2023, 2023
Peng Yuan, Roeland Van Malderen, Xungang Yin, Hannes Vogelmann, Weiping Jiang, Joseph Awange, Bernhard Heck, and Hansjörg Kutterer
Atmos. Chem. Phys., 23, 3517–3541, https://doi.org/10.5194/acp-23-3517-2023, https://doi.org/10.5194/acp-23-3517-2023, 2023
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Water vapour plays an important role in various weather and climate processes. However, due to its large spatiotemporal variability, its high-accuracy quantification remains a challenge. In this study, 20+ years of GPS-derived integrated water vapour (IWV) retrievals in Europe were obtained. They were then used to characterise the temporal features of Europe's IWV and assess six atmospheric reanalyses. Results show that ERA5 outperforms the other reanalyses at most temporal scales.
Peng Yuan, Geoffrey Blewitt, Corné Kreemer, William C. Hammond, Donald Argus, Xungang Yin, Roeland Van Malderen, Michael Mayer, Weiping Jiang, Joseph Awange, and Hansjörg Kutterer
Earth Syst. Sci. Data, 15, 723–743, https://doi.org/10.5194/essd-15-723-2023, https://doi.org/10.5194/essd-15-723-2023, 2023
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We developed a 5 min global integrated water vapour (IWV) product from 12 552 ground-based GPS stations in 2020. It contains more than 1 billion IWV estimates. The dataset is an enhanced version of the existing operational GPS IWV dataset from the Nevada Geodetic Laboratory. The enhancement is reached by using accurate meteorological information from ERA5 for the GPS IWV retrieval with a significantly higher spatiotemporal resolution. The dataset is recommended for high-accuracy applications.
Benjamin Fersch, Andreas Wagner, Bettina Kamm, Endrit Shehaj, Andreas Schenk, Peng Yuan, Alain Geiger, Gregor Moeller, Bernhard Heck, Stefan Hinz, Hansjörg Kutterer, and Harald Kunstmann
Earth Syst. Sci. Data, 14, 5287–5307, https://doi.org/10.5194/essd-14-5287-2022, https://doi.org/10.5194/essd-14-5287-2022, 2022
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In this study, a comprehensive multi-disciplinary dataset for tropospheric water vapor was developed. Geodetic, photogrammetric, and atmospheric modeling and data fusion techniques were used to obtain maps of water vapor in a high spatial and temporal resolution. It could be shown that regional weather simulations for different seasons benefit from assimilating these maps and that the combination of the different observation techniques led to positive synergies.
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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.
Temperature variations cause thermoelastic deformation in shallow subsurface materials,...
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