Quantifying the correlation between the MEI and LOD variations by decomposing LOD with Singular Spectrum Analysis
Paper in proceeding, 2014
Variations in the temporal length-of-day (LOD) contain information on phenomena related to the continuous evolution of Earth processes: tidal energy dissipation and core-mantle coupling (decadal, secular), meteorological and solar-lunar tide effects (annual, semi-annual). In this work, we studied an LOD time series obtained from VLBI measurements and extracted its principal components using the Singular Spectrum Analysis (SSA). After removing the long-term trend which explains 73. 8% of the signal, three remaining components explain a further 22. 0% of the signal: an annual and a semi-annual signals as well as a second trend. We compared the Multivariate ENSO index (MEI) with the variations in the amplitudes of the annual and semi-annual components and with the second trend. The correlations are significant: 0. 58 for the annual component, − 0. 48 for the semi-annual component and 0. 46 for the second trend.
Length-Of-Day (LOD) • VLBI • Singular Spectrum Analysis • ENSO • Multivariate ENSO Index (MEI)
Author
Karine le Bail
National Aeronautics and Space Administration (NASA)
John Gipson
National Aeronautics and Space Administration (NASA)
Daniel S. MacMillan
National Aeronautics and Space Administration (NASA)
Proceedings of the IAG General Assembly, Melbourne, Australia, June 28–July 2, 2011, Series: International Association of Geodesy Symposia
Vol. 139 473-477
978-3-642-37221-6 (ISBN)
IAG General Assembly
Melbourne, Australia,
Melbourne, Australia,
Subject Categories (SSIF 2025)
Earth and Related Environmental Sciences
DOI
10.1007/978-3-642-37222-3_63