Analysis of 25.3 years of global GNSS timing data (165.2 million station pairs) documents persistent velocity-dependent correlations in atomic clock networks. Critically, we propose that standard GNSS processing algorithms, designed to remove energetic (common-mode) errors via datum constraints, inadvertently preserve the subtle, geometry-dependent (differential) correlations that are the focus of this work. Building on the multi-centre study's validation (R²=0.92-0.97 between CODE, IGS, ESA), the extended temporal baseline confirms decadal stability and enables investigation of long-period geophysical phenomena inaccessible in shorter baselines. Seven independent signatures are identified: (1) Spatial anisotropy persists with EW>NS (global ratio=2.16, strength=1.981, p 30), velocity-dependent anisotropy (r=-0.888), and geometric alignment (EW/NS=2.16). The absence of GM/r² scaling is physically consistent with the hypothesis that energetic couplings are filtered by processing while geometric information is transmitted; raw carrier-phase analysis will test this transmission mechanism. Raw data validation and multi-constellation replication represent critical next steps.
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Matthew Lukin Smawfield (Mon,) studied this question.
www.synapsesocial.com/papers/69edabb84a46254e215b394a — DOI: https://doi.org/10.5281/zenodo.19732866
Matthew Lukin Smawfield
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