Tracking deep-sea internal wave propagation with a differential pressure gauge array

Abstract Temperature is used to trace ocean density variations, and reveals internal waves and turbulent motions in the deep ocean, called ‘internal motions.’ Ambient temperature detected by geophysical differential pressure gauges (DPGs) may provide year-long, complementary observations. Here, we u...

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Autores principales: Chu-Fang Yang, Wu-Cheng Chi, Hans van Haren, Ching-Ren Lin, Ban-Yuan Kuo
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/e818bd6a2c864951a10d47658c68a429
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spelling oai:doaj.org-article:e818bd6a2c864951a10d47658c68a4292021-12-05T12:13:38ZTracking deep-sea internal wave propagation with a differential pressure gauge array10.1038/s41598-021-02721-12045-2322https://doaj.org/article/e818bd6a2c864951a10d47658c68a4292021-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-02721-1https://doaj.org/toc/2045-2322Abstract Temperature is used to trace ocean density variations, and reveals internal waves and turbulent motions in the deep ocean, called ‘internal motions.’ Ambient temperature detected by geophysical differential pressure gauges (DPGs) may provide year-long, complementary observations. Here, we use data from four DPGs fixed on the ocean bottom and a high-resolution temperature sensor (T-sensor) 13 m above the seafloor as a square-kilometer array deployed offshore ~ 50 km east of Taiwan facing the open Pacific Ocean to examine the impact of temperature on DPG signals related to internal motions. The DPG signals correlate with T-sensor temperature variations between 0.002 and 0.1 mHz, but have time shifts partially caused by slow thermal conduction from the ambient seafloor to the DPG chamber and partially by internal motion propagation time across the array. Applying beamforming-frequency-wavenumber analysis and linear regression to the arrayed T-sensor and DPG data, we estimate the propagating slowness of the internal motions to be between 0.5 and 7.4 s m−1 from the northwest and northeast quadrants of the array. The thermal relaxation time of the DPGs is within 103–104 s. This work shows that a systematic scan of DPG data at frequencies < 0.1 mHz may help shed light on patterns of internal wave propagation in the deep ocean, especially in multi-scale arrays.Chu-Fang YangWu-Cheng ChiHans van HarenChing-Ren LinBan-Yuan KuoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Chu-Fang Yang
Wu-Cheng Chi
Hans van Haren
Ching-Ren Lin
Ban-Yuan Kuo
Tracking deep-sea internal wave propagation with a differential pressure gauge array
description Abstract Temperature is used to trace ocean density variations, and reveals internal waves and turbulent motions in the deep ocean, called ‘internal motions.’ Ambient temperature detected by geophysical differential pressure gauges (DPGs) may provide year-long, complementary observations. Here, we use data from four DPGs fixed on the ocean bottom and a high-resolution temperature sensor (T-sensor) 13 m above the seafloor as a square-kilometer array deployed offshore ~ 50 km east of Taiwan facing the open Pacific Ocean to examine the impact of temperature on DPG signals related to internal motions. The DPG signals correlate with T-sensor temperature variations between 0.002 and 0.1 mHz, but have time shifts partially caused by slow thermal conduction from the ambient seafloor to the DPG chamber and partially by internal motion propagation time across the array. Applying beamforming-frequency-wavenumber analysis and linear regression to the arrayed T-sensor and DPG data, we estimate the propagating slowness of the internal motions to be between 0.5 and 7.4 s m−1 from the northwest and northeast quadrants of the array. The thermal relaxation time of the DPGs is within 103–104 s. This work shows that a systematic scan of DPG data at frequencies < 0.1 mHz may help shed light on patterns of internal wave propagation in the deep ocean, especially in multi-scale arrays.
format article
author Chu-Fang Yang
Wu-Cheng Chi
Hans van Haren
Ching-Ren Lin
Ban-Yuan Kuo
author_facet Chu-Fang Yang
Wu-Cheng Chi
Hans van Haren
Ching-Ren Lin
Ban-Yuan Kuo
author_sort Chu-Fang Yang
title Tracking deep-sea internal wave propagation with a differential pressure gauge array
title_short Tracking deep-sea internal wave propagation with a differential pressure gauge array
title_full Tracking deep-sea internal wave propagation with a differential pressure gauge array
title_fullStr Tracking deep-sea internal wave propagation with a differential pressure gauge array
title_full_unstemmed Tracking deep-sea internal wave propagation with a differential pressure gauge array
title_sort tracking deep-sea internal wave propagation with a differential pressure gauge array
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/e818bd6a2c864951a10d47658c68a429
work_keys_str_mv AT chufangyang trackingdeepseainternalwavepropagationwithadifferentialpressuregaugearray
AT wuchengchi trackingdeepseainternalwavepropagationwithadifferentialpressuregaugearray
AT hansvanharen trackingdeepseainternalwavepropagationwithadifferentialpressuregaugearray
AT chingrenlin trackingdeepseainternalwavepropagationwithadifferentialpressuregaugearray
AT banyuankuo trackingdeepseainternalwavepropagationwithadifferentialpressuregaugearray
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