The main target of the EPN coordinate time series analysis and monitoring is to strengthen the EPN as a geodetic reference network and to offer various products for geodesists and geophysicists.

Using the CATREF software (Altamimi et al, IGN, France), regularly updated EPN cumulative solutions are created based on the weekly combined EPN SINEX solutions.

During the time series analysis all station specific events (coordinate outliers and discontinuities) are identified and taken into account. This regular monitoring and correction allows to keep the EPN time series products up-to-date.

The analysis is done by the EPN Time Series Analysis Coordinator, A. Kenyeres (FÖMI, Hungary). Any questions, requests should be directed to him.

Products

The time series analysis provides cumulative EPN SINEX solutions which are updated each 15 weeks. The current update includes weekly combined solutions up to GPSweek 1555. The cumulative solution is associated with the following products:

• The EPN cumulative solution in SINEX format is tied to the ITRF2005 reference frame using minimum constraints and it available from here (only class A stations).
• EPN station coordinates and velocities are the most accurate and up-to-date solutions for the EPN sites. They are used for the maintenance of the regional densification of the ITRFyy between two releases and also for the maintenance of the ETRS89.
• An up-to-date list of station discontuities (EPN_discontinuities.snx) fully harmonized with the IGS/ITRF discontinuity table.
• Residual coordinate time series as the Helmert difference between the coordinates in the cumulative solution and the ones in the weekly input SINEX solutions.
• Harmonic analysis of the time series to detect seasonal coordinate variations
• Noise analysis to estimate reliable velocity uncertainties and station-specific noise characteristics
• Miscellanous plots:
  • Helmert transformation parameters between the cumulative and the weekly input SINEX solutions
  • Weighted weekly rms of the input SINEX solutions
  • Length of the observation series used in the combination
  • Case studies showing specific cases