The GNSS solution named ’GT2’ is produced by the German Research Centre for Geosciences (GFZ) for the International GNSS Service (IGS) working group TIGA. It contains position time series for 757 permanent GNSS stations expressed in the ITRF2014 reference frame over the period January 1994 to December 2015. This GNSS solution was carried out within the framework of the 2nd IGS reanalysis (reprocessing) campaign (Repro2). Among the 757 stations processed by GFZ, as many as 538 have (…)
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25 August 2020, by Médéric Gravelle -
Statistiques
17 octobre 2013, par eprout01Ce graphe montre l’évolution du nombre de fichiers Rinex disponibles sur SONEL (par DOY) depuis 1990-079
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Téléchargements
27 janvier 2020, par Médéric Gravelle– Table des vitesses verticales
La table NGL14_Vertical-Velocities_Table contient les vitesses verticales GPS estimées par le groupe NGL en utilisant MIDAS, pour les 1069 stations satisfaisant les critères de 3 ans minimum de longueur avec des "trous" n’excédant pas les 30%.
– Séries temporelles journalières
Le fichier NGL14.zip contient les séries temporelles individuelles de positions des stations exprimées dans l’ITRF2014, calculées par le groupe NGL, par rapport à la position à (…) -
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4 March 2020, by Médéric GravelleTo assign more realistic uncertainties on the GPS velocities, the noise content in the position time series was examined by the maximum likelihood estimation (MLE) technique using CATS software (Williams, 2008). Time series were detrended at the CATREF stage. Details on the GPS velocity uncertainty assessment are given in the reference below. Vertical velocities table
The ULR6b_Vertical-Velocities_Table provides the vertical GPS velocities and uncertainties for the 493 stations fulfilling (…) -
About
21 October 2022, by Médéric GravelleThe GNSS solution named ’GT3’ is produced by the German Research Centre for Geosciences (GFZ) for the International GNSS Service (IGS) working group TIGA. It contains position time series for 319 permanent GNSS stations expressed in the ITRF2014 reference frame over the period January 1994 to December 2020. This GNSS solution was carried out within the framework of the 3rd IGS reanalysis (reprocessing) campaign (Repro3). Among the 319 stations processed by GFZ, as many as 272 have (…)
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Role of SONEL
27 October 2011, by Guy WoppelmannIn addition to its national scope with its specific aims associated with a national research observation infrastructure on sea level, SONEL plays the role of GNSS at tide gauge data assembly centre for the GLOSS programme since 2011 (see GLOSS Implementation Plan - 2012, pp. 23). SONEL is also the primary data centre for the GPS Tide Gauge Benchmark Monitoring (TIGA) pilot project, which has turned into a working group of the International GNSS Service (IGS) in 2010.
Consequently, SONEL (…) -
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17 January 2020, by Médéric Gravelle– Vertical velocities table
The JPL14_Vertical-Velocities_Table provides the vertical GPS velocities and uncertainties from the 436 stations fulfilling the criteria of 3 years of minimum length and data gaps not exceeding 30%, estimated by the JPL group.
– Daily time series
The JPL14.zip file contains individual station data files of daily position time series in ITRF2014 with respect to the position at the epoch 2023-01-01. These positions are expressed in meters in the local frame (…) -
French contribution
22 August 2017, by FrankObservation stations contributing to GLOSS
The map on the right shows the French stations contributing to the GLOSS core network of stations, a contribution which was agreed by France when the programme was started at the beginning of the 1980s. Despite its heritage and the wealth of sea level data, the French contribution to the world programme appears relatively modest. There are numerous organisations which use the tide gauges in France as part of their missions. Nevertheless the (…) -
Fournisseurs GNSS
6 janvier 2017, par Mikaël Guichard -
How to access the tide gauge observations
20 February 2011, by Guy WoppelmannThe files of average values
Only the daily, monthly and annual averages calculated from quality controlled (QC’ed) data are provided in the data files. However, the graphs show the averages calculated from QC’ed observations (in blue) and non-QC’ed observations (in red). The averages are calculated from the Demerliac filter and the Doodson filter, with the possibility of a choice for the user. An example is given on the image below, which is taken from the web page of the La Rochelle (…)