High-Frequency Radar Ocean Current Mapping at Rapid Scale with Autoregressive Modeling - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue IEEE Journal of Oceanic Engineering Année : 2021

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

Baptiste Domps
Dylan Dumas
  • Fonction : Auteur
Julien Marmain
  • Fonction : Auteur

Résumé

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-MEM model are investigated with synthetic HFR data and compared with the classical Doppler spectrum approach. It is shown that AR-MEM drastically improves the quality and the rate of success of the surface current estimation for short integration time. To confirm these numerical results, the same analysis is conducted 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 and high-coverage maps of surface currents even with very short integration time (about 1 minute) where the classical spectral approach can only fulfill the quality tests on a sparse coverage. Further useful application of the technique is found in the tracking of surface current at high-temporal resolution. Rapid variations of the surface current at the time scale of the minute are unveiled and shown consistent with a $f^{-5/3}$ decay of turbulent spectra.

Dates et versions

hal-02960581 , version 1 (07-10-2020)

Identifiants

Citer

Baptiste Domps, Dylan Dumas, Charles-Antoine Guérin, Julien Marmain. High-Frequency Radar Ocean Current Mapping at Rapid Scale with Autoregressive Modeling. IEEE Journal of Oceanic Engineering, 2021, ⟨10.1109/JOE.2020.3048507⟩. ⟨hal-02960581⟩
75 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More