Surface Gravity Wave Interferometry and Ocean Current Monitoring With Ocean‐Bottom DAS

The cross‐correlation of a diffuse or random wavefield at two points has been demonstrated to recover an empirical estimate of the Green's function under a wide variety of source conditions. Over the past two decades, the practical development of this principle, termed ambient noise interferome...

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Veröffentlicht in:Journal of geophysical research. Oceans 2022-05, Vol.127 (5), p.n/a
Hauptverfasser: Williams, Ethan F., Zhan, Zhongwen, Martins, Hugo F., Fernández‐Ruiz, María R., Martín‐López, Sonia, González‐Herráez, Miguel, Callies, Jörn
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container_title Journal of geophysical research. Oceans
container_volume 127
creator Williams, Ethan F.
Zhan, Zhongwen
Martins, Hugo F.
Fernández‐Ruiz, María R.
Martín‐López, Sonia
González‐Herráez, Miguel
Callies, Jörn
description The cross‐correlation of a diffuse or random wavefield at two points has been demonstrated to recover an empirical estimate of the Green's function under a wide variety of source conditions. Over the past two decades, the practical development of this principle, termed ambient noise interferometry, has revolutionized the fields of seismology and acoustics. Yet, because of the spatial sparsity of conventional water column and seafloor instrumentation, such array‐based processing approaches have not been widely utilized in oceanography. Ocean‐bottom distributed acoustic sensing (OBDAS) repurposes pre‐existing optical fibers laid in seafloor cables as dense arrays of broadband strain sensors, which observe both seismic waves and ocean waves. The thousands of sensors in an OBDAS array make ambient noise interferometry of ocean waves straightforward for the first time. Here, we demonstrate the application of ambient noise interferometry to surface gravity waves observed on an OBDAS array near the Strait of Gibraltar. We focus particularly on a 3‐km segment of the array on the continental shelf, containing 300 channels at 10‐m spacing. By cross‐correlating the raw strain records, we compute empirical ocean surface gravity wave Green's functions for each pair of stations. We first apply beamforming to measure the time‐averaged dispersion relation along the cable. Then, we exploit the non‐reciprocity of waves propagating in a flow to recover the depth‐averaged current velocity as a function of time using a waveform stretching method. The result is a spatially continuous matrix of current velocity measurements with resolution
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Over the past two decades, the practical development of this principle, termed ambient noise interferometry, has revolutionized the fields of seismology and acoustics. Yet, because of the spatial sparsity of conventional water column and seafloor instrumentation, such array‐based processing approaches have not been widely utilized in oceanography. Ocean‐bottom distributed acoustic sensing (OBDAS) repurposes pre‐existing optical fibers laid in seafloor cables as dense arrays of broadband strain sensors, which observe both seismic waves and ocean waves. The thousands of sensors in an OBDAS array make ambient noise interferometry of ocean waves straightforward for the first time. Here, we demonstrate the application of ambient noise interferometry to surface gravity waves observed on an OBDAS array near the Strait of Gibraltar. We focus particularly on a 3‐km segment of the array on the continental shelf, containing 300 channels at 10‐m spacing. By cross‐correlating the raw strain records, we compute empirical ocean surface gravity wave Green's functions for each pair of stations. We first apply beamforming to measure the time‐averaged dispersion relation along the cable. Then, we exploit the non‐reciprocity of waves propagating in a flow to recover the depth‐averaged current velocity as a function of time using a waveform stretching method. The result is a spatially continuous matrix of current velocity measurements with resolution &lt;100 m and &lt;1 hr. Plain Language Summary Ocean currents are challenging to measure because they are complex: flow varies across more than six orders of magnitude in space and time. The wavespeed of ocean surface gravity waves propagating in a current encodes information about the velocity of the current, providing an opportunity to measure current velocity from ocean wave records. In particular, waves propagating along the current move faster than waves propagating against the current, which is termed non‐reciprocity. By cross‐correlating ocean wave records at two locations, we can measure the non‐reciprocity and thereby recover an estimate of the average current velocity. In this study, we employ distributed acoustic sensing to measure ocean surface gravity wave propagation along an ocean‐bottom fiber optic cable. As waves pass over the cable, they exert a small force at the seafloor which deforms the cable and stretches the fiber within. By repeatedly probing the fiber with a laser, we can measure these minute deformations at each point along the fiber. We demonstrate this method on a power transmission cable in the Strait of Gibraltar, monitoring the spatio‐temporal evolution of the tidal current over a period of 4.5 days. Key Points Seafloor horizontal strain measured with distributed acoustic sensing is sensitive to ocean surface gravity wave (OSGW) pressure Ambient noise interferometry can be used to measure the dispersion relation of OSGW and infer flow velocity We resolve the spatio‐temporal pattern of the tidal current along a 3‐km submarine cable segment in the Strait of Gibraltar</description><identifier>ISSN: 2169-9275</identifier><identifier>EISSN: 2169-9291</identifier><identifier>DOI: 10.1029/2021JC018375</identifier><language>eng</language><publisher>Washington: Blackwell Publishing Ltd</publisher><subject>Acoustic imagery ; Acoustic propagation ; Acoustics ; Ambient noise ; ambient noise interferometry ; Arrays ; Beamforming ; Broadband ; Cables ; Continental shelves ; Current velocity ; Deformation ; distributed acoustic sensing ; Fiber optics ; Geophysics ; Gravity wave propagation ; Gravity waves ; Green's function ; Green's functions ; Instrumentation ; Interferometry ; Lasers ; Noise ; Ocean currents ; Ocean floor ; Ocean surface ; ocean surface gravity waves ; Ocean waves ; Oceanography ; Oceans ; Optical fibers ; P-waves ; Records ; Seismic waves ; Seismology ; Sensors ; Straits ; Surface gravity waves ; Surface water waves ; Tidal currents ; Time measurement ; Velocity ; Water circulation ; Water column ; Wave propagation ; Waveforms</subject><ispartof>Journal of geophysical research. Oceans, 2022-05, Vol.127 (5), p.n/a</ispartof><rights>2022. American Geophysical Union. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a3688-b07ae78c4434c24b80e67464b451756a1b56d9d1263f219489b45c633a5fc6263</citedby><cites>FETCH-LOGICAL-a3688-b07ae78c4434c24b80e67464b451756a1b56d9d1263f219489b45c633a5fc6263</cites><orcidid>0000-0003-3927-8125 ; 0000-0002-5586-2607 ; 0000-0002-6815-1230 ; 0000-0002-7917-4104</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2021JC018375$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2021JC018375$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,1427,27901,27902,45550,45551,46384,46808</link.rule.ids></links><search><creatorcontrib>Williams, Ethan F.</creatorcontrib><creatorcontrib>Zhan, Zhongwen</creatorcontrib><creatorcontrib>Martins, Hugo F.</creatorcontrib><creatorcontrib>Fernández‐Ruiz, María R.</creatorcontrib><creatorcontrib>Martín‐López, Sonia</creatorcontrib><creatorcontrib>González‐Herráez, Miguel</creatorcontrib><creatorcontrib>Callies, Jörn</creatorcontrib><title>Surface Gravity Wave Interferometry and Ocean Current Monitoring With Ocean‐Bottom DAS</title><title>Journal of geophysical research. Oceans</title><description>The cross‐correlation of a diffuse or random wavefield at two points has been demonstrated to recover an empirical estimate of the Green's function under a wide variety of source conditions. Over the past two decades, the practical development of this principle, termed ambient noise interferometry, has revolutionized the fields of seismology and acoustics. Yet, because of the spatial sparsity of conventional water column and seafloor instrumentation, such array‐based processing approaches have not been widely utilized in oceanography. Ocean‐bottom distributed acoustic sensing (OBDAS) repurposes pre‐existing optical fibers laid in seafloor cables as dense arrays of broadband strain sensors, which observe both seismic waves and ocean waves. The thousands of sensors in an OBDAS array make ambient noise interferometry of ocean waves straightforward for the first time. Here, we demonstrate the application of ambient noise interferometry to surface gravity waves observed on an OBDAS array near the Strait of Gibraltar. We focus particularly on a 3‐km segment of the array on the continental shelf, containing 300 channels at 10‐m spacing. By cross‐correlating the raw strain records, we compute empirical ocean surface gravity wave Green's functions for each pair of stations. We first apply beamforming to measure the time‐averaged dispersion relation along the cable. Then, we exploit the non‐reciprocity of waves propagating in a flow to recover the depth‐averaged current velocity as a function of time using a waveform stretching method. The result is a spatially continuous matrix of current velocity measurements with resolution &lt;100 m and &lt;1 hr. Plain Language Summary Ocean currents are challenging to measure because they are complex: flow varies across more than six orders of magnitude in space and time. The wavespeed of ocean surface gravity waves propagating in a current encodes information about the velocity of the current, providing an opportunity to measure current velocity from ocean wave records. In particular, waves propagating along the current move faster than waves propagating against the current, which is termed non‐reciprocity. By cross‐correlating ocean wave records at two locations, we can measure the non‐reciprocity and thereby recover an estimate of the average current velocity. In this study, we employ distributed acoustic sensing to measure ocean surface gravity wave propagation along an ocean‐bottom fiber optic cable. As waves pass over the cable, they exert a small force at the seafloor which deforms the cable and stretches the fiber within. By repeatedly probing the fiber with a laser, we can measure these minute deformations at each point along the fiber. We demonstrate this method on a power transmission cable in the Strait of Gibraltar, monitoring the spatio‐temporal evolution of the tidal current over a period of 4.5 days. Key Points Seafloor horizontal strain measured with distributed acoustic sensing is sensitive to ocean surface gravity wave (OSGW) pressure Ambient noise interferometry can be used to measure the dispersion relation of OSGW and infer flow velocity We resolve the spatio‐temporal pattern of the tidal current along a 3‐km submarine cable segment in the Strait of Gibraltar</description><subject>Acoustic imagery</subject><subject>Acoustic propagation</subject><subject>Acoustics</subject><subject>Ambient noise</subject><subject>ambient noise interferometry</subject><subject>Arrays</subject><subject>Beamforming</subject><subject>Broadband</subject><subject>Cables</subject><subject>Continental shelves</subject><subject>Current velocity</subject><subject>Deformation</subject><subject>distributed acoustic sensing</subject><subject>Fiber optics</subject><subject>Geophysics</subject><subject>Gravity wave propagation</subject><subject>Gravity waves</subject><subject>Green's function</subject><subject>Green's functions</subject><subject>Instrumentation</subject><subject>Interferometry</subject><subject>Lasers</subject><subject>Noise</subject><subject>Ocean currents</subject><subject>Ocean floor</subject><subject>Ocean surface</subject><subject>ocean surface gravity waves</subject><subject>Ocean waves</subject><subject>Oceanography</subject><subject>Oceans</subject><subject>Optical fibers</subject><subject>P-waves</subject><subject>Records</subject><subject>Seismic waves</subject><subject>Seismology</subject><subject>Sensors</subject><subject>Straits</subject><subject>Surface gravity waves</subject><subject>Surface water waves</subject><subject>Tidal currents</subject><subject>Time measurement</subject><subject>Velocity</subject><subject>Water circulation</subject><subject>Water column</subject><subject>Wave propagation</subject><subject>Waveforms</subject><issn>2169-9275</issn><issn>2169-9291</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kM1Kw0AUhQdRsNTufIABt0ZnJvO7rFFrS6VglbobJulEU9pMnUwq2fkIPqNPYkpEXHk39-d8nAsHgFOMLjAi6pIggicJwjIW7AD0COYqUkThw99ZsGMwqKoVaktiSanqged57XOTWTjyZleEBi7MzsJxGazPrXcbG3wDTbmEs8yaEia197YM8N6VRXC-KF_gogivnfr18XnlQnAbeD2cn4Cj3KwrO_jpffB0e_OY3EXT2WicDKeRibmUUYqEsUJmlMY0IzSVyHJBOU0pw4Jxg1PGl2qJCY9zghWVqlUyHseG5Rlvr31w1vluvXurbRX0ytW-bF9qwrlUiHKhWuq8ozLvqsrbXG99sTG-0RjpfXz6b3wtHnf4e7G2zb-snoweEsL2yzcR82-h</recordid><startdate>202205</startdate><enddate>202205</enddate><creator>Williams, Ethan F.</creator><creator>Zhan, Zhongwen</creator><creator>Martins, Hugo F.</creator><creator>Fernández‐Ruiz, María R.</creator><creator>Martín‐López, Sonia</creator><creator>González‐Herráez, Miguel</creator><creator>Callies, Jörn</creator><general>Blackwell Publishing Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7TN</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><orcidid>https://orcid.org/0000-0003-3927-8125</orcidid><orcidid>https://orcid.org/0000-0002-5586-2607</orcidid><orcidid>https://orcid.org/0000-0002-6815-1230</orcidid><orcidid>https://orcid.org/0000-0002-7917-4104</orcidid></search><sort><creationdate>202205</creationdate><title>Surface Gravity Wave Interferometry and Ocean Current Monitoring With Ocean‐Bottom DAS</title><author>Williams, Ethan F. ; 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Oceans</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Williams, Ethan F.</au><au>Zhan, Zhongwen</au><au>Martins, Hugo F.</au><au>Fernández‐Ruiz, María R.</au><au>Martín‐López, Sonia</au><au>González‐Herráez, Miguel</au><au>Callies, Jörn</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Surface Gravity Wave Interferometry and Ocean Current Monitoring With Ocean‐Bottom DAS</atitle><jtitle>Journal of geophysical research. Oceans</jtitle><date>2022-05</date><risdate>2022</risdate><volume>127</volume><issue>5</issue><epage>n/a</epage><issn>2169-9275</issn><eissn>2169-9291</eissn><abstract>The cross‐correlation of a diffuse or random wavefield at two points has been demonstrated to recover an empirical estimate of the Green's function under a wide variety of source conditions. Over the past two decades, the practical development of this principle, termed ambient noise interferometry, has revolutionized the fields of seismology and acoustics. Yet, because of the spatial sparsity of conventional water column and seafloor instrumentation, such array‐based processing approaches have not been widely utilized in oceanography. Ocean‐bottom distributed acoustic sensing (OBDAS) repurposes pre‐existing optical fibers laid in seafloor cables as dense arrays of broadband strain sensors, which observe both seismic waves and ocean waves. The thousands of sensors in an OBDAS array make ambient noise interferometry of ocean waves straightforward for the first time. Here, we demonstrate the application of ambient noise interferometry to surface gravity waves observed on an OBDAS array near the Strait of Gibraltar. We focus particularly on a 3‐km segment of the array on the continental shelf, containing 300 channels at 10‐m spacing. By cross‐correlating the raw strain records, we compute empirical ocean surface gravity wave Green's functions for each pair of stations. We first apply beamforming to measure the time‐averaged dispersion relation along the cable. Then, we exploit the non‐reciprocity of waves propagating in a flow to recover the depth‐averaged current velocity as a function of time using a waveform stretching method. The result is a spatially continuous matrix of current velocity measurements with resolution &lt;100 m and &lt;1 hr. Plain Language Summary Ocean currents are challenging to measure because they are complex: flow varies across more than six orders of magnitude in space and time. The wavespeed of ocean surface gravity waves propagating in a current encodes information about the velocity of the current, providing an opportunity to measure current velocity from ocean wave records. In particular, waves propagating along the current move faster than waves propagating against the current, which is termed non‐reciprocity. By cross‐correlating ocean wave records at two locations, we can measure the non‐reciprocity and thereby recover an estimate of the average current velocity. In this study, we employ distributed acoustic sensing to measure ocean surface gravity wave propagation along an ocean‐bottom fiber optic cable. As waves pass over the cable, they exert a small force at the seafloor which deforms the cable and stretches the fiber within. By repeatedly probing the fiber with a laser, we can measure these minute deformations at each point along the fiber. We demonstrate this method on a power transmission cable in the Strait of Gibraltar, monitoring the spatio‐temporal evolution of the tidal current over a period of 4.5 days. Key Points Seafloor horizontal strain measured with distributed acoustic sensing is sensitive to ocean surface gravity wave (OSGW) pressure Ambient noise interferometry can be used to measure the dispersion relation of OSGW and infer flow velocity We resolve the spatio‐temporal pattern of the tidal current along a 3‐km submarine cable segment in the Strait of Gibraltar</abstract><cop>Washington</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1029/2021JC018375</doi><tpages>27</tpages><orcidid>https://orcid.org/0000-0003-3927-8125</orcidid><orcidid>https://orcid.org/0000-0002-5586-2607</orcidid><orcidid>https://orcid.org/0000-0002-6815-1230</orcidid><orcidid>https://orcid.org/0000-0002-7917-4104</orcidid><oa>free_for_read</oa></addata></record>
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subjects Acoustic imagery
Acoustic propagation
Acoustics
Ambient noise
ambient noise interferometry
Arrays
Beamforming
Broadband
Cables
Continental shelves
Current velocity
Deformation
distributed acoustic sensing
Fiber optics
Geophysics
Gravity wave propagation
Gravity waves
Green's function
Green's functions
Instrumentation
Interferometry
Lasers
Noise
Ocean currents
Ocean floor
Ocean surface
ocean surface gravity waves
Ocean waves
Oceanography
Oceans
Optical fibers
P-waves
Records
Seismic waves
Seismology
Sensors
Straits
Surface gravity waves
Surface water waves
Tidal currents
Time measurement
Velocity
Water circulation
Water column
Wave propagation
Waveforms
title Surface Gravity Wave Interferometry and Ocean Current Monitoring With Ocean‐Bottom DAS
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