Although the statistical significances for the trends of integrated water vapor (IWV) are essential for a correct interpretation of climate change signals, obtaining accurate IWV trend …
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 …
Since the late 1970s, successive satellite missions have been monitoring the sun's activity and recording the total solar irradiance (TSI). Some of these measurements have lasted for …
Abstract Global Navigation Satellite Systems (GNSS) enable the determination of station displacements, which are essential to understanding geophysical processes and …
The global navigation satellite system (GNSS) daily position time series are often described as the sum of stochastic processes and geophysical signals which allow to study global and …
Understanding and modelling the properties of the stochastic variations in geodetic time series is crucial to obtain realistic uncertainties for deterministic parameters, eg, long-term …
K Ji, Y Shen, Q Chen, F Wang - Journal of Geodesy, 2023 - Springer
The singular spectrum analysis (SSA) is a powerful tool to de-noise the geodetic time series and extract geophysical signals of interest. However, when missing data exists in geodetic …
Z Bao, G Chang, L Zhang, G Chen, S Zhang - Measurement, 2021 - Elsevier
Abstract Global Navigation Satellite System (GNSS) coordinate time series inevitably suffer from random and even continuous missing data. However, many processing methods of …
Y Yang, F Sigmundsson… - Geophysical Research …, 2023 - Wiley Online Library
Estimating the timing of velocity changes (break points) in Global Navigation Satellite System (GNSS) coordinate time series is required for understanding various Earth …