High resolution seafloor thermometry and internal wave monitoring using Distributed Acoustic Sensing

Type Article
Date 2022-11-17
Language English
Author(s) Peláez Quiñones JuliánORCID1, Sladen AnthonyORCID1, Ponte AurelienORCID2, Lior ItzhakORCID3, Ampuero Jean-PaulORCID1, Rivet DianeORCID1, Meulé SamuelORCID4, Bouchette FrédéricORCID4, Pairaud IvaneORCID2, Coyle PaschalORCID5
Affiliation(s) 1 : Universite Cote d’Azur, CNRS, Observatoire de la Cote d’Azur, IRD, Geoazur, Sophia Antipolis, 250 rue Albert Einstein, 06560, Valbonne, France
2 : IFREMER, Universite de Brest, CNRS, IRD, Laboratoire d’Oceanographie Physique et Spatiale, IUEM, Brest, France
3 : Institute of Earth Sciences, The Hebrew University, Jerusalem, Israel
4 : Geosciences-M/GLADYS, Universite de Montpellier, CNRS, Montpellier, France
5 : Aix-Marseille Universite, CNRS/IN2P3, CPPM, Marseille, France
Source Authorea (Essoar), 2022-11-17 , P. 32 p.
DOI 10.1002/essoar.10512858.1
Note This is a preprint and has not been peer reviewed. Data may be preliminary.
Abstract

Temperature is central for ocean science but is still poorly sampled on the deep ocean. Here, we show that Distributed Acoustic Sensing (DAS) technology can convert several kilometer long seafloor fiber-optic (FO) telecommunication cables into dense arrays of temperature anomaly sensors with milikelvin (mK) sensitivity, allowing us to monitor oceanic processes such as internal waves and upwelling with unprecedented detail. We validate our observations with oceanographic in-situ sensors and an alternative FO technology. Practical solutions and recent advances are outlined to obtain continuous absolute temperatures with DAS at the seafloor. Our observations grant key advantages to DAS over established temperature sensors, showing its transformative potential for thermometry in ocean sciences and hydrography.

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Peláez Quiñones Julián, Sladen Anthony, Ponte Aurelien, Lior Itzhak, Ampuero Jean-Paul, Rivet Diane, Meulé Samuel, Bouchette Frédéric, Pairaud Ivane, Coyle Paschal (2022). High resolution seafloor thermometry and internal wave monitoring using Distributed Acoustic Sensing. Authorea, 32 p. Publisher's official version : https://doi.org/10.1002/essoar.10512858.1 , Open Access version : https://archimer.ifremer.fr/doc/00809/92126/