• Sorted by Date • Sorted by Last Name of First Author •
Wang, Songyun, Wilson, Clark R., Chen, Jianli, Fu, Yuning, Kuang, Weijia, and Seo, Ki-Weon, 2025. Multi-Year Global Oscillations in GNSS Deformation and Surface Loading Contributions. Remote Sensing, 17(9):1509, doi:10.3390/rs17091509.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025RemS...17.1509W, author = {{Wang}, Songyun and {Wilson}, Clark R. and {Chen}, Jianli and {Fu}, Yuning and {Kuang}, Weijia and {Seo}, Ki-Weon}, title = "{Multi-Year Global Oscillations in GNSS Deformation and Surface Loading Contributions}", journal = {Remote Sensing}, keywords = {six-year oscillation, GNSS, surface loading, satellite gravimetry, terrestrial water storage, wavelet transform}, year = 2025, month = apr, volume = {17}, number = {9}, eid = {1509}, pages = {1509}, abstract = "{Recent studies have identified a near six-year oscillation (SYO) in Global Navigation Satellite Systems (GNSS) surface displacements, with a degree 2, order 2 spherical harmonic (SH) pattern and retrograde motion. The cause is uncertain, with proposals ranging from deep Earth to near-surface sources. This study investigates the SYO and possible causes from surface loading. Considering the irregular spatiotemporal distribution of GNSS data and the variety of contributors to surface displacements, we used synthetic experiments to identify optimal techniques for estimating low degree SH patterns. We confirm a reported retrograde SH degree 2, order 2 displacement using GNSS data from the same 35 stations used in a previous study for the 1995{\textendash}2015 period. We also note that its amplitude diminished when the time span of observations was extended to 2023, and the retrograde dominance became less significant using a larger 271-station set. Surface loading estimates showed that terrestrial water storage (TWS) loads contributed much more to the GNSS degree 2, order 2 SYO, than atmospheric and oceanic loads, but TWS load estimates were highly variable. Four TWS sources{\textemdash}European Centre for Medium-Range Weather Forecasts Reanalysis 5 (ERA5), Modern-Era Retrospective analysis for Research and Applications (MERRA), Global Land Data Assimilation System (GLDAS), and Gravity Recovery and Climate Experiment (GRACE/GRACE Follow-On){\textemdash}yielded a wide range (24\% to 93\%) of predicted TWS contributions with GRACE/GRACE Follow-On being the largest. This suggests that TWS may be largely responsible for SYO variations in GNSS observations. Variations in SYO GNSS amplitudes in the extended period (1995{\textendash}2023) were also consistent with near surface sources.}", doi = {10.3390/rs17091509}, adsurl = {https://ui.adsabs.harvard.edu/abs/2025RemS...17.1509W}, adsnote = {Provided by the SAO/NASA Astrophysics Data System} }
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