Global navigation satellite systems (GNSS) data are a fundamental source of information for achieving a better understanding of geophysical and climate-related phenomena. However, discontinuities in the coordinate time series might be a severe limiting factor for the reliable estimate of long-term trends. A methodological approach has been adapted from Rodionov (Geophys Res Lett 31:L09204, 2004; Geophys Res Lett 31:L12707, 2006) and from Rodionov and Overland (J Marine Sci 62:328–332, 2005) to identify both the epoch of occurrence and the magnitude of jumps corrupting GNSS data sets without any a priori information on these quantities.
Bruni, S., Errico, M., Raicich, F., Santi, E., Zerbini, S. Detecting discontinuities in GNSS coordinate time series with STARS: case study, the Bologna and Medicina GPS sites. Springer Berlin Heidelberg, 2014 с. 1203-1214,.
Bruni, S., Errico, M., Raicich, F., Santi, E., Zerbini, S. Detecting discontinuities in GNSS coordinate time series with STARS: case study, the Bologna and Medicina GPS sites. Springer Berlin Heidelberg, 2014 с. 1203-1214,.
Bruni, S., Errico, M., Raicich, F., Santi, E., Zerbini, S. (2014) Detecting discontinuities in GNSS coordinate time series with STARS: case study, the Bologna and Medicina GPS sites, Springer Berlin Heidelberg с. 1203-1214,.
Bruni, S., Errico, M., Raicich, F., Santi, E., & Zerbini, S. (2014). Detecting discontinuities in GNSS coordinate time series with STARS: case study, the Bologna and Medicina GPS sites. Springer Berlin Heidelberg, с. 1203-1214.
Bruni S, Errico M, Raicich F, Santi E, Zerbini S. Detecting discontinuities in GNSS coordinate time series with STARS: case study, the Bologna and Medicina GPS sites. Springer Berlin Heidelberg; 2014. p. с. 1203-1214.
