Preprints
https://doi.org/10.5194/essd-2022-235
https://doi.org/10.5194/essd-2022-235
 
25 Jul 2022
25 Jul 2022
Status: this preprint is currently under review for the journal ESSD.

The ULR-repro3 GPS data reanalysis and its estimates of vertical land motion at tide gauges for sea level science

Médéric Gravelle1, Guy Wöppelmann1, Kévin Gobron1,2, Zuheir Altamimi3,4, Mikaël Guichard1, Thomas Herring5, and Paul Rebischung3,4 Médéric Gravelle et al.
  • 1LIENSs, CNRS – La Rochelle University, 17000 La Rochelle, France
  • 2Royal Observatory of Belgium, Uccle, Belgium
  • 3Université de Paris, Institut de physique du globe de Paris, CNRS, IGN, F-75005 Paris, France
  • 4ENSG-Géomatique, IGN, F-77455 Marne-la-Vallée, France
  • 5MIT, Cambridge, MA, USA

Abstract. A new reanalysis of GNSS data at or near tide gauges worldwide was produced by the university of La Rochelle (ULR) group within the 3rd 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, that is, 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 station velocity uncertainties compared to the previous reanalysis. The products are available via SONEL (https://doi.org/10.26166/sonel_ulr7a; Gravelle et al., 2022).

Médéric Gravelle et al.

Status: open (extended)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-235', Anonymous Referee #1, 31 Aug 2022 reply

Médéric Gravelle et al.

Data sets

The ULR-repro3 GPS data reanalysis solution (aka ULR7a) Mederic Gravelle, Guy Woppelmann, Kevin Gobron, Zuheir Altamimi, Mikaël Guichard, Thomas Herring, Paul Rebischung https://doi.org/10.26166/sonel_ulr7a

Médéric Gravelle et al.

Viewed

Total article views: 481 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
356 111 14 481 14 6
  • HTML: 356
  • PDF: 111
  • XML: 14
  • Total: 481
  • BibTeX: 14
  • EndNote: 6
Views and downloads (calculated since 25 Jul 2022)
Cumulative views and downloads (calculated since 25 Jul 2022)

Viewed (geographical distribution)

Total article views: 440 (including HTML, PDF, and XML) Thereof 440 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 05 Dec 2022
Download
Short summary
We produced a reanalysis of GNSS data near tide gauges worldwide within the International GNSS Service. It implements advances in data modelling and corrections, extending the record length by about 7 years. A reduction of 28 % in station velocity uncertainties is achieved wrt the previous solution. These estimates of vertical land motion at the coast supplement data from satellite altimetry or tide gauges for an improved understanding of sea level changes and their impacts along coastal areas.