The influence of variable amplitudes and phases of the most energetic oscillations in the EOP on their prediction errors

Computer Science

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Scientific paper

The Discrete Wavelet Transform (DWT) based on the Morlet wavelet was applied to determine the variable amplitudes and phases of the dominant oscillations in the Earth Orientation Parameters (EOP) data. Next, the model EOP data were constructed using constant amplitudes and phases computed by the LS method as well as variable amplitudes and phases computed by the DWT. The model data and the original EOP data were then predicted using forward and backward prediction by the combination of the least squares model extrapolation (LS) and the autoregressive prediction (AR) denoted as LS+AR. Comparison of the forward and backward predictions of the EOP data and the model data, computed at different starting prediction epochs has enabled examination of irregular variations in the EOP data as well as influence of variable amplitudes and phases of the most energetic oscillations in the EOP data on their prediction errors.

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