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., Zerbini, S., Raicich, F., Errico, M., Santi, E. 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., Zerbini, S., Raicich, F., Errico, M., Santi, E. .
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., Zerbini, S., Raicich, F., Errico, M., Santi, E. (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.,
Zerbini, S.,
Raicich, F.,
Errico, M., &
Santi, E.
(2014).
Detecting discontinuities in GNSS coordinate time series with STARS: case study, the Bologna and Medicina GPS sites. Journal of Geodesy. Springer Berlin Heidelberg 88 (12), с. 1203-1214.
