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Related Experiment Videos

The Central European GNSS Research Network (CEGRN) dataset.

J Zurutuza1, A Caporali1, M Bertocco1

  • 1Department of Geosciences, University of Padova, Via Giovanni Gradenigo, 6, 35131, Padova, Italy.

Data in Brief
|December 3, 2019
PubMed
Summary

The Central European GNSS Research Network (CEGRN) provides precise GNSS data and velocities for 1229 sites across 33 countries. This network ensures high accuracy, aligning with the European Terrestrial Reference Frame (ETRF2000) for reliable geodetic research.

Keywords:
CEGRNDense velocity fieldETRF2000 densificationMultiyear analysis

Related Experiment Videos

Area of Science:

  • Geodesy and Geophysics
  • Satellite Navigation Systems
  • Earth Sciences

Background:

  • The Central European GNSS Research Network (CEGRN) has been collecting Global Navigation Satellite System (GNSS) data since 1994.
  • The network comprises data from 42 institutions in 33 countries, contributing to a robust geodetic dataset.
  • GNSS data are crucial for monitoring crustal deformation and maintaining reference frames.

Purpose of the Study:

  • To provide an updated dataset of precise GNSS-derived positions and velocities.
  • To ensure the dataset adheres to international standards and the latest processing procedures.
  • To contribute to the maintenance and accuracy of the European Terrestrial Reference Frame (ETRF2000).

Main Methods:

  • A dataset of 1229 positions and velocities was generated from sites with at least 3 coordinate measurements over 4+ years.
  • Velocity data were combined from eight multiyear, overlapping networks.
  • Alignment to the ETRF2000 reference frame was achieved using 234 stations from the European Permanent Network (EPN).

Main Results:

  • The combined CEGRN network achieved a root mean square (rms) of less than 5 mm after a 7-parameter Helmert transformation for individual contributions (1996-2017).
  • The network's origin was maintained coincident with the ETRF2000 reference frame to within 1.8 mm rms.
  • Mean positions and velocities of common stations showed minimal differences compared to EPN Class A stations at epoch 2010.0.

Conclusions:

  • The CEGRN dataset provides a highly accurate and reliable source of geodetic information for Central Europe.
  • The network's alignment and precision contribute significantly to the stability and integrity of the ETRF2000.
  • The findings validate the CEGRN's methodology and its contribution to global geodetic research.