Analysis of GNSS-based crustal movement patterns considering the influence of common-mode error

This study calculates observational data collected from 2,195 Global Navigation Satellite System (GNSS) stations across the contiguous United States using the GAMIT/GLOBK 10.7 software, and introduces a multichannel singular spectrum analysis (MSSA) method to extract the common-mode error (CME). Through CME removal and analysis, the study assesses the impact on station velocity estimates and constructs a high-precision velocity field after CME removal to investigate crustal movement patterns. The results demonstrate that the removal of CME enhances the precision of station velocity estimates by 29% to 37% while reducing the uncertainty of residuals by 19% to 27%. These findings indicate that CME removal improves the accuracy of coordinate time series and station velocity estimates. Regarding crustal movements, most regions of the contiguous United States exhibit a westward movement. In contrast, the western coastal areas, situated on the Pacific Plate, display a northwestward movement. Additionally, due to post-glacial rebound, a subsidence trend is observed across much of the United States, whereas uplift is evident along the boundary between the North American and Pacific Plates as a result of tectonic compression.

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Published
2025-09-29
DOI
https://doi.org/10.1117/12.3082431
Primary Topic
GNSS positioning and interference
Type
article
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article

Analysis of GNSS-based crustal movement patterns considering the influence of common-mode error

Junfei Jiang, Lingmeng Fan, E Shenglong, Xinrui Ren et al.
GNSS positioning and interference
article

Analysis of GNSS-based crustal movement patterns considering the influence of common-mode error

Junfei Jiang, Lingmeng Fan, E Shenglong, Xinrui Ren, Hao Wang, Lei Wang
article en

Abstract

This study calculates observational data collected from 2,195 Global Navigation Satellite System (GNSS) stations across the contiguous United States using the GAMIT/GLOBK 10.7 software, and introduces a multichannel singular spectrum analysis (MSSA) method to extract the common-mode error (CME). Through CME removal and analysis, the study assesses the impact on station velocity estimates and constructs a high-precision velocity field after CME removal to investigate crustal movement patterns. The results demonstrate that the removal of CME enhances the precision of station velocity estimates by 29% to 37% while reducing the uncertainty of residuals by 19% to 27%. These findings indicate that CME removal improves the accuracy of coordinate time series and station velocity estimates. Regarding crustal movements, most regions of the contiguous United States exhibit a westward movement. In contrast, the western coastal areas, situated on the Pacific Plate, display a northwestward movement. Additionally, due to post-glacial rebound, a subsidence trend is observed across much of the United States, whereas uplift is evident along the boundary between the North American and Pacific Plates as a result of tectonic compression.

China Southern Power Grid (China) (CN)
Openalex Percentile: Top 65%
GNSS positioning and interference
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Analysis of GNSS-based crustal movement patterns considering the influence of common-mode error — Junfei Jiang, Lingmeng Fan, et al. · (2025) | TGRS Research Map | TGRS