Submitted:
15 March 2026
Posted:
16 March 2026
You are already at the latest version
Abstract
A method for analyzing long-term (1997-2025) continuous records of low-frequency global seismic noise measured at a network of 229 broadband seismic stations distributed across the Earth's surface is proposed. The method is based on the use of nonlinear multifractal and entropy statistics, evaluated daily in successive time intervals. The method is based on the use of first-principal component analysis, correlation analysis, and parametric models of point process intensity. The relationships between changes in seismic noise properties and the response of noise properties to the irregularity of the Earth's rotation with the sequence of strong earthquakes, including those of a predictive nature, are investigated.
Keywords:
multifractals
; wavelets
; entropy
; point processes
; principal component analysis
; seismic noise
; earthquakes
; length of day
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