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Global elevation vibration and seasonal changes derived by the analysis of GPS height

We use the spectral analysis and the multi-resolution wavelet analysis methods to study GPS time series in height component generated from continuously operating stations, which are globally distributed, and separate stationary signals from the non-stationary, then set up discrete models of stationary height signals by using AR model methods. Comparisons made in this paper show that the correlative length of GPS time series in height component varies from 2 days to 31 days, rectifying the integral deficiency from zero in random walk process. After analyzing, both annual and biannual vibrations of integrated expanding and contracting movements in the Earth are detected. The biannual maximum value is found in March–April and October–November while the annual maximum value is in September–November. Meantime, we observe that the movements follow different laws in the Northern and Southern Hemispheres. The Southern Hemisphere is expanding compared with the Northern Hemisphere.