Published September 17, 2025 | Version v0.23 (Jaipur)
Preprint Open

Global Time Echoes: Distance-Structured Correlations in GNSS Clocks

  • 1. Independent Researcher

Description

This study presents observations of distance-structured correlations in global GNSS atomic clock networks, analyzing 62.7 million station pair measurements across three independent analysis centers (CODE, IGS Combined, ESA). Using phase-coherent spectral methods, exponential correlation decay patterns are identified with characteristic lengths (λ) of 3,330–4,549 km, consistent with theoretical predictions for screened scalar fields. The analysis further reveals coherent network dynamics coupled to Earth's helical motion (Chandler wobble, |r| = 0.61–0.69) and orbital velocity (r = -0.57 to -0.79), along with systematic diurnal variations and significant coherence modulations corresponding to 6 Bonferroni-significant astronomical events. Extensive validation—including 24-61× signal enhancement over null tests, temporal/spatial cross-validation, and systematic bias controls—provides substantial evidence of signal authenticity, suggesting that GNSS networks act as sensitive detectors of continental-scale phenomena affecting atomic transition frequencies. These findings, detailed in this package, are theoretically grounded in the Temporal Equivalence Principle (https://doi.org/10.5281/zenodo.16921911). See the companion 25-year experimental analysis: DOI: 10.5281/zenodo.17517141.
 

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Additional details

Related works

Cites
Preprint: 10.5281/zenodo.17121655 (DOI)
Is supplemented by
Software: https://github.com/matthewsmawfield/TEP-GNSS (URL)
Preprint: 10.5281/zenodo.17517141 (DOI)

Dates

Created
2025-09-17
Preprint
Updated
2025-09-17
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Updated
2025-09-21
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2025-09-21
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2025-09-22
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2025-09-25
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2025-09-25
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2025-09-27
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2025-10-06
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2025-10-07
Updated
2025-10-08
Updated
2025-10-12
Updated
2025-10-13
Updated
2025-10-13
Updated
2025-10-14
Updated
2025-10-15
Updated
2025-11-20
v0.22 (Jaipur)
Updated
2025-11-23
v0.23 (Jaipur)

Software

Repository URL
https://github.com/matthewsmawfield/TEP-GNSS
Programming language
Python
Development Status
Active