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Shear velocity time series are essential in characterizing ocean turbulent flows. The moored platform is mounted with two orthogonal shear probes (PNS06) to measure shear data for calculating velocity spectra. However, the shear probes are inevitably contaminated by instrument noise and the complex marine environments. In this paper, a method based on singular spectra decomposition was proposed to attenuate vibration noise by neglecting the higher-order modes in time-series reconstruction. First, this method constructed a Hankel matrix with shear velocity data, then decomposed and reconstructed the shear signals based on the method of conducting inverse singular value decomposition transformation on the values and their corresponding vectors to achieve the purpose of signal de-noising. The corrected spectra match well with the empirical Nasmyth spectrum and dissipation rates calculated from the noise-reduced shear spectra have dropped nearly one order of magnitude. The experimental results show that the proposed method provides an effective and straightforward approach for eliminating the noise signals in shear velocity spectra in ocean dynamics. c ©2017 all rights reserved.

Noise correction algorithm for nonlinear turbulent shear velocity time series based on energy spectrum of singular values