Seasonal crustal deformations around the eastern Tibetan Plateau constrained by GPS, GRACE and hydrological model

Abstract

In order to characterize the seasonal crustal deformations induced by hydrological loading around the eastern Tibetan Plateau, the data sets of Global Positioning System (GPS), Land Surface Discharge Model (LSDM), and Gravity Recovery and Climate Experiment (GRACE) at 24 sites situated in this region are collected. The hydrological loading effects around the eastern Tibetan Plateau exhibit strong latitude dependence. The Root Mean Square (RMS) values tend to occurrence a downward trend as the latitude increases, and large RMS values are cumulated at the sites located in the low-latitude area of this region. Meanwhile, the amplitude of the annual signals of three data sets modeled by Monte Carlo Singular Spectrum Analysis (MCSSA) in lowlatitude area is larger than mid-and high-latitude area. Then, Cross Wavelet Transform (XWT) is adopted to assess the consistency between different data sets. The XWT-based semblance of GPS/GRACE above 0.9 are observed at 67 % of the sites, while it reaches 79 % for GPS/LSDM, implying LSDM can well model the hydrological loading deformations around the eastern Tibetan Plateau in comparison with GRACE. We also evaluate the effects of hydrological loading on GPS observations from the variations of RMS values, noise properties, and velocity uncertainties. After applying hydrological loading correction, the reduction of RMS values and velocity uncertainties appears at most sites. Moreover, the magnitude of Flicker Noise (FN) in most GPS observations is decreased, whereas the magnitude of White Noise (WN) is increased accordingly. The results suggest that applying hydrological loading correction can reduce the magnitude of FN in most GPS observations, and improve the precision of velocity estimation.

Referencing of Continental‐Scale InSAR‐Derived Velocity Fields: Case Study of the Eastern Tibetan Plateau

“…Xiang et al. (2019) show that peak to peak seasonal vertical motion due to hydrologic loads in eastern Tibet, as derived from GNSS, GRACE or an hydrological model, presents a trend from about 15 mm in the south to about 4 mm in the north of our study area. They could produce seasonal ramps in range and/or azimuth of the order of 0.01 mm/km.…”

“…The atmospheric load induces peak to peak, large-scale vertical displacement oscillations in our area of interest of about 3 mm on the plateau itself, increasing to 8 mm on its boundaries at lower elevation (Yan et al, 2019). Xiang et al (2019) show that peak to peak seasonal vertical motion due to hydrologic loads in eastern Tibet, as derived from GNSS, GRACE or an hydrological model, presents a trend from about 15 mm in the south to about 4 mm in the north of our study area. They could produce seasonal ramps in range and/or azimuth of the order of 0.01 mm/km.…”

Groundwater Response to Tide Fluctuation and Rainfall in Coastal Reclamation Area

“…The cross-wavelet power is defined as jW x,y ðτ, sÞ j. This definition describes the local covariance of two time series at different times and frequencies, which implies a common high energy region and a phase relationship in the time-scale plane [56,59].…”

Performance comparison of least squares, iterative and global L1 norm minimization and exhaustive search methods for outlier detection in leveling networks

“…This method uses the Monte Carlo sampling, which is widely used in computing and engineering (e.g. Gruszczyński et al, 2019aGruszczyński et al, , 2019bXiang et al, 2019;Rofatto et al, 2020), for attaining the global minimum of a function of many variables by following a scheme that emulates the way crystalline networks are self-constructed in nature (see e.g. Berné and Baselga, 2004).…”