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Reconstruction of nearshore surface gravity waves from Distributed Acoustic Sensing data
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  • Samuel Meulé,
  • Julián David Pelaez Quiñones,
  • Frédéric Bouchette,
  • Anthony Sladen,
  • Aurelien L.S. Ponte,
  • Annika Maier,
  • Itzhak Lior,
  • Paschal Coyle
Samuel Meulé
CEREGE

Corresponding Author:[email protected]

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Julián David Pelaez Quiñones
Universität Hamburg
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Frédéric Bouchette
GEOSCIENCES-Montpellier, Univ Montpellier, CNRS
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Anthony Sladen
Université Côte d'Azur, CNRS, Observatoire de la Côte d'Azur, IRD, Géoazur
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Aurelien L.S. Ponte
Ifremer
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Annika Maier
Karlsruhe Institute of Technology
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Itzhak Lior
Institute of Earth Sciences, The Hebrew University, Jerusalem, Israel
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Paschal Coyle
CPPM - Centre de Physique des Particules de Marseille, CNRS/IN2P3 et Université de la Mediterranee
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Abstract

Distributed Acoustic Sensing (DAS) is a photonics technology converting seafloor telecommunications and optical fiber cables into dense arrays of strain sensors, allowing to monitor various oceanic physical processes. Yet, several applications are hindered by the limited knowledge of the transfer function between geophysical variables and DAS measurements. This study investigates the quantitative relationship between surface gravity DAS-recorded wave-generated strain signals along the seafloor and the pressure at a colocated sensor. A remarkable linear correlation is found over various sea conditions allowing to reliably determine significant wave heights from DAS data. Utilizing linear wave potential theory, we derive an analytical transfer function linking cable deformation and wave kinematic parameters. This transfer function provides a first quantification of the effects related to waves and fiber responses. Our results validate DAS’s potential for real-time reconstruction of the surface gravity wave spectrum over extended coastal areas. It also enables the estimation of waves hydraulic parameters at depth without the need of offshore deployments.
04 Mar 2024Submitted to ESS Open Archive
04 Mar 2024Published in ESS Open Archive