Abstract We use 2.5 to 14 years long position time series from> 800 continuous Global
Positioning System (GPS) stations to study vertical deformation rates in the Euro …

We estimate the rates and patterns of vertical land motion (VLM) on all locations on Earth's
land surface using GPS Imaging. The solution is based on a large database of uniformly …

This study focuses on the effects of time correlation in weekly GPS position time series on
velocity estimates. Time series 2.5 to 13 years long from a homogeneously reprocessed …

We present a velocity field for northwestern South America and the southwest Caribbean
based on GPS Continuously Operating Reference Stations in Colombia, Panama, Ecuador …

We explore implications for modeling and noise analysis of stochastic seasonal processes
of climatic origin in geodetic time series. Seasonal signals are generally modeled as …

Each of the GPS-derived time series consists of the deterministic (functional) and stochastic
part. We propose that the deterministic part includes all periodicities from 1st to 9th …

Empirical modal decomposition (EMD) is an efficient tool for extracting a signal from
stationary or non-stationary time series and is enhanced in stability and robustness by …

We perform a statistical sensitivity analysis on a parametric fit to vertical daily displacement
time series of 244 European Permanent GNSS stations, with a focus on linear vertical land …

The velocity estimates and their uncertainties derived from position time series of Global
Navigation Satellite System stations are affected by seasonal signals and their harmonics …

Geodetic vertical velocities derived from data as short as 3 yr are often assumed to be
representative of linear deformation over past decades to millennia. We use two decades of …