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High-Frequency Radar Ocean Current Mapping at Rapid Scale with Autoregressive Modeling

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Document pages: 13 pages

Abstract: We use an Autoregressive (AR) approach combined with a Maximum Entropy Method(MEM) to estimate radial surface currents from coastal High-Frequency Radar(HFR) complex voltage time series. The performances of this combined AR-MEMmodel are investigated with synthetic HFR data and compared with the classicalDoppler spectrum approach. It is shown that AR-MEM drastically improves thequality and the rate of success of the surface current estimation for shortintegration time. To confirm these numerical results, the same analysis isconducted with an experimental data set acquired with a 16.3 MHz HFR in Toulon.It is found that the AR-MEM technique is able to provide high-quality andhigh-coverage maps of surface currents even with very short integration time(about 1 minute) where the classical spectral approach can only fulfill thequality tests on a sparse coverage. Further useful application of the techniqueis found in the tracking of surface current at high-temporal resolution. Rapidvariations of the surface current at the time scale of the minute are unveiledand shown consistent with a $f^{-5 3}$ decay of turbulent spectra.

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