Reconstruction of nearshore surface gravity waves from Distributed
Acoustic Sensing data
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.