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The ULR-repro3 GPS data reanalysis and its estimates of vertical land motionat tide gauges for sea level science
Gravelle, M.; Wöppelmann, G.; Gobron, K.; Altamimi, Z.; Guichard, M.; Herring, T.; Rebischung, P. (2023). The ULR-repro3 GPS data reanalysis and its estimates of vertical land motionat tide gauges for sea level science. ESSD 15(1): 497-509. https://dx.doi.org/10.5194/essd-15-497-2023
In: Earth System Science Data. Copernicus: Göttingen. ISSN 1866-3508; e-ISSN 1866-3516, meer
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| Auteurs | | Top |
- Gravelle, M.
- Wöppelmann, G.
- Gobron, K., meer
- Altamimi, Z.
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- Guichard, M.
- Herring, T.
- Rebischung, P.
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| Abstract |
A new reanalysis of Global Navigation Satellite System (GNSS) data at or near tide gauges worldwide was produced by the University of La Rochelle (ULR) group within the third International GNSS Service (IGS) reprocessing campaign (repro3). The new solution, called ULR-repro3, complies with the IGS standards adopted for repro3, implementing advances in data modelling and corrections since the previous reanalysis campaign and extending the average record length by about 7 years. The results presented here focus on the main products of interest for sea level science: the station position time series and associated velocities on the vertical component at tide gauges. These products are useful to estimate accurate vertical land motion at the coast and supplement data from satellite altimetry or tide gauges for an improved understanding of sea level changes and their impacts along coastal areas. To provide realistic velocity uncertainty estimates, the noise content in the position time series was investigated considering the impact of non-tidal atmospheric loading. Overall, the ULR-repro3 position time series show reduced white noise and power-law amplitudes and lower station velocity uncertainties compared with the previous reanalysis. The products are available via SONEL (https://doi.org/10.26166/sonel_ulr7a; Gravelle et al., 2022). |
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