Detecting spectrally localized components of lunar tide-frequency in time-series of the electric field vertical component of the earth atmosphere boundary layer

TL;DR

This paper presents a method using eigenvector analysis to detect lunar tide-frequency components in Earth's atmospheric electric field data, revealing signals undetectable by traditional spectral analysis with high statistical significance.

Contribution

It introduces a novel application of eigenvector-based analysis to identify lunar tide-related signals in atmospheric electric field time-series, surpassing spectral analysis limitations.

Findings

Detected lunar tide-frequency components in electric field data

Components are unobservable by standard spectral analysis

High statistical significance of detection (p < 0.00025)

Abstract

Using the signal eigenvectors and components analyser (Grunskaya L.V., Isakevich V.V., Isakevich D.V. the RF Utility Model Patent 116242 of 30.09.2011) made it possible to detect non-coherent complex-period components localized at lunar tide frequencies in the time-series of the electric field vertical component of the Earth atmosphere boundary layer. The detected components are unobservable by means of spectral analysis quadrature scheme. The probability of the detected effects being pseudo-estimates is not more than 0.00025