onglet

Articles

• About
  6 February 2014, by eprout01

  This is not really a direct product from SONEL data, but the French tide gauges and their associated data distributed by SONEL helped validating the model, and SONEL supports the distribution of its results.
  Two wave numerical hindcast were realized for the North Atlantic Ocean based on the code WaveWatchIII (hereafter WWIII, Tolman, 2009). The former employs a 1°*1° spatial resolution and is forced by wind fields originating from the 20CR reanalysis (Compo et al., 2011) over the (…)

• Download
  4 March 2020, by Médéric Gravelle

  To 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 (…)

• Description des balises DORIS
  3 avril 2008, par Guy Woppelmann

  Le réseau de balises DORIS est déployé et maintenu par l’IGN depuis 1986. Des fiches géodésiques décrivent les stations DORIS de ce réseau. Elles sont disponibles sur le site de l’IDS (International DORIS Service) à travers une page qui propose également une carte dynamique montrant la distribution géographique du réseau (cliquez sur le lien pour y accéder).

• GNSS Data Providers
  6 January 2017, by Mikaël Guichard
• GNSS Data Providers
  9 January 2017, by eprout01
• 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 (…)

• Calibration measurements
  10 December 2010, by Frank

  These are measurements of the water level which are carried out simultaneously with a tide gauge and an instrument that is used as a standard, often an electric sound/light sensor. When the measurements are performed over a complete tide cycle (12h25), they can be used to produce a Van de Casteele diagram. The shape of this diagram is highly instructive; it can be used to assess the performances of the tide gauge and to detect any operational defects. This type of test is recommended by (…)

• Results of the calibration tests
  10 December 2010, by Frank

  The results of the test measurements ’in situ’ are directly incorporated into the pages corresponding to the tide gauge in question. The test missions are generally the subject of a report in which the results of the use of the calibration measurements (Van de Casteele diagram) are published. Here is an example: test of the tide gauge at Socoa (Saint Jean-de-Luz) in May 2007.

• Download
  8 January 2020, by Médéric Gravelle

  – Vertical velocities table
  The NGL14_Vertical-Velocities_Table provides the vertical GPS velocities and uncertainties from the 1069 stations fulfilling the criteria of 3 years of minimum length and data gaps not exceeding 30%, estimated by the NGL group using MIDAS (Blewitt et al. 2016). Daily time series
  The NGL14.zip file contains individual station data files of daily position time series in ITRF2014 with respect to the position at the mid time series epoch. These positions are (…)

• Data access
  14 February 2008, by Guy Woppelmann

  The GPS observations are published on the anonymous FTP server of SONEL (ftp.sonel.org). The conditions of access are that the origin of the data is acknowledged in all communications, oral or written. Further details.
  The FileZilla tool is a free client ftp which allows you to access the data.