Marine Science Faculty Publications
Document Type
Article
Publication Date
2015
Digital Object Identifier (DOI)
https://doi.org/https://doi.org/10.5194/npg-22-157-2015
Abstract
The ability of empirical mode decomposition (EMD) to extract multi-decadal variability from sea level records is tested using three simulations: one based on a series of purely sinusoidal modes, one based on scaled climate indices of El Niño and the Pacific decadal oscillation (PDO), and the final one including a single month with an extreme sea level event. All simulations include random noise of similar variance to high-frequency variability in the San Francisco tide gauge record. The intrinsic mode functions (IMFs) computed using EMD were compared to the prescribed oscillations. In all cases, the longest-period modes are significantly distorted, with incorrect amplitudes and phases. This affects the estimated acceleration computed from the longest periodic IMF. In these simulations, the acceleration was underestimated in the case with purely sinusoidal modes, and overestimated by nearly 100% in the case with prescribed climate modes. Additionally, in all cases, extra low-frequency modes uncorrelated with the prescribed variability are found. These experiments suggest that using EMD to identify multi-decadal variability and accelerations in sea level records should be used with caution.
Rights Information
This work is licensed under a Creative Commons Attribution 3.0 License.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
Nonlinear Processes in Geophysics, v. 22, issue 2, p. 157-166
Scholar Commons Citation
Chambers, D. P., "Evaluation of Empirical Mode Decomposition for Quantifying Multi-decadal Variations and Acceleration in Sea Level Records" (2015). Marine Science Faculty Publications. 1406.
https://digitalcommons.usf.edu/msc_facpub/1406
