The three Russian VLBI stations Svetloe, Badary and Zelenchukskaya are part of the global VLBI Network and take part in international global VLBI programs for geodetic observations.
Additionally, a national program is observed. The domestic Russian Network is called "Quasar" and has carried out many experiments between the three stations since 2006. From the Russian experiments, 223 files were provided of which 108 sessions where carried out over 24 hours, and 115 sessions lasted between one and eight hours. The 24 hour measurements where used for estimating all earth rotation parameters and the shorter (hourly) sessions were carried out to determine the universal time UT1, or dUT1 (UT1-UTC), respectively. For processing, the Vienna VLBI Software VieVS was used - it has been developed at the Institute of Geodesy and Geophysics of the Vienna University of Technology. Earth rotation parameters have been determined by using the 24 hour sessions - that was possible because of the large extension of the Russian network - and dUT1 by using the hourly sessions.
Additionally the baseline length repeatability and station velocities have been determined. A comparison between the results of the pole coordinates - under NNT/NNR conditions on the stations - and data sets of the International GNSS Service (IGS) yields a standard deviation of 11 mas for xpol, 16 mas for ypol, and 0,3 ms for dUT1. With fixed station coordinates the standard deviation dropped to 8 mas for xpol, 14 mas for ypol, and 0,2 ms for dUT1. The results of the differences to the IGS data were split into three intervals - almost of the same length - over the entire period, with different accuracies for each time span.
The most recent part, since July 2010, exhibited the best accuracy with a standard deviation of 3 mas for xpol, 5 mas for ypol, and 0,01 ms for dUT1 under NNT/NNR conditions. The standard deviation of dUT1 for the hourly sessions is about 0,1 ms and 0,07 ms since February 2009. By the comparison of the presented data, and by relation to the results of both programs, it became clear, that the quality of the Russian VLBI data significantly improved in recent years of the program.