New Insight Into Antarctic Ice Sheet Properties Using an Improved Teleseismic P‐Wave Coda Autocorrelation Method

In the past decades, several gridded datasets of the Antarctic ice sheet have been proposed, which provide important information for detailed modeling of the Antarctic ice sheet. In addition to the radio‐echo sounding method, passive seismological methods have become increasingly popular in recent y...

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Veröffentlicht in:Journal of geophysical research. Solid earth 2023-05, Vol.128 (5), p.n/a
Hauptverfasser: Zhou, Jinju, Fu, Lei, Xu, Yongzhong, Zhang, Wei
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Zhang, Wei
description In the past decades, several gridded datasets of the Antarctic ice sheet have been proposed, which provide important information for detailed modeling of the Antarctic ice sheet. In addition to the radio‐echo sounding method, passive seismological methods have become increasingly popular in recent years to reveal ice sheet properties. But the impact of complex subglacial topography on these methods has not been discussed. In this study, the influence of subglacial topography on teleseismic P‐wave coda autocorrelation was first analyzed. As the dip angle of the ice‐rock interface increased, the time difference caused by the dipping interface became significant. We then demonstrated an approach to estimate the dip parameters of ice bed and ice properties. A test at a pilot station (BYRD) in west Antarctica indicated that the dip parameters estimated by the method are reliable. Finally, it was applied to 65 over‐ice stations in three experiments (TAMSEIS, GAMSEIS, and POLENET). Dip parameters of the ice‐rock interface were well estimated. The azimuths concurred with those extracted from Bedmap2 and BedMachine, while several dip angles were larger at quite a few stations. The valleys revealed in this study are deeper and the mountains are higher. Our in situ results prove the improvements of BedMachine, but the ice bed slope might have been underestimated in some regions. The single‐station passive seismic approach can contribute to new models of the Antarctic ice sheet. The dip parameters and ice sheet properties obtained in this study may assist in other studies, such as ice sheet modeling. Plain Language Summary In studies on Antarctic ice sheet modeling, the ice sheet properties and the subglacial topography are important. In recent years, passive seismological methods have become popular to provide in situ detection of the Antarctic ice sheet properties; however, the complexity of subglacial topography has been overlooked. In this study, we demonstrate the impact of subglacial topography on the detection of ice sheet properties. A novel approach was then used to directly reveal the subglacial topography and improve estimates regarding the ice sheet properties. The results suggest that the subglacial terrain in some parts of the Antarctica is steeper than previously studied. This in situ passive seismology approach could contribute to future ice sheet modeling or other similar explorations. Key Points A novel method presented to reveal the dip parameters o
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In addition to the radio‐echo sounding method, passive seismological methods have become increasingly popular in recent years to reveal ice sheet properties. But the impact of complex subglacial topography on these methods has not been discussed. In this study, the influence of subglacial topography on teleseismic P‐wave coda autocorrelation was first analyzed. As the dip angle of the ice‐rock interface increased, the time difference caused by the dipping interface became significant. We then demonstrated an approach to estimate the dip parameters of ice bed and ice properties. A test at a pilot station (BYRD) in west Antarctica indicated that the dip parameters estimated by the method are reliable. Finally, it was applied to 65 over‐ice stations in three experiments (TAMSEIS, GAMSEIS, and POLENET). Dip parameters of the ice‐rock interface were well estimated. The azimuths concurred with those extracted from Bedmap2 and BedMachine, while several dip angles were larger at quite a few stations. The valleys revealed in this study are deeper and the mountains are higher. Our in situ results prove the improvements of BedMachine, but the ice bed slope might have been underestimated in some regions. The single‐station passive seismic approach can contribute to new models of the Antarctic ice sheet. The dip parameters and ice sheet properties obtained in this study may assist in other studies, such as ice sheet modeling. Plain Language Summary In studies on Antarctic ice sheet modeling, the ice sheet properties and the subglacial topography are important. In recent years, passive seismological methods have become popular to provide in situ detection of the Antarctic ice sheet properties; however, the complexity of subglacial topography has been overlooked. In this study, we demonstrate the impact of subglacial topography on the detection of ice sheet properties. A novel approach was then used to directly reveal the subglacial topography and improve estimates regarding the ice sheet properties. The results suggest that the subglacial terrain in some parts of the Antarctica is steeper than previously studied. This in situ passive seismology approach could contribute to future ice sheet modeling or other similar explorations. Key Points A novel method presented to reveal the dip parameters of subglacial topography and estimate ice thickness and vp/vs ratios Dip parameters of ice‐rock interfaces below 65 over‐ice seismic stations were well estimated in this study In situ results prove the improvements of BedMachine, but the ice bed slope might have been underestimated in some regions</description><identifier>ISSN: 2169-9313</identifier><identifier>EISSN: 2169-9356</identifier><identifier>DOI: 10.1029/2022JB024864</identifier><language>eng</language><publisher>Washington: Blackwell Publishing Ltd</publisher><subject>Antarctic ice sheet ; Autocorrelation ; Complexity ; Detection ; Dipping ; Echo sounding ; Echoes ; Echosounding ; Geophysics ; Glaciation ; Ice ; Ice properties ; Ice sheets ; Mathematical models ; Methods ; Modelling ; Mountains ; Parameter estimation ; Parameters ; Rocks ; Seismology ; Sheet modelling ; Subglacial topography ; Topography</subject><ispartof>Journal of geophysical research. 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Solid earth</title><description>In the past decades, several gridded datasets of the Antarctic ice sheet have been proposed, which provide important information for detailed modeling of the Antarctic ice sheet. In addition to the radio‐echo sounding method, passive seismological methods have become increasingly popular in recent years to reveal ice sheet properties. But the impact of complex subglacial topography on these methods has not been discussed. In this study, the influence of subglacial topography on teleseismic P‐wave coda autocorrelation was first analyzed. As the dip angle of the ice‐rock interface increased, the time difference caused by the dipping interface became significant. We then demonstrated an approach to estimate the dip parameters of ice bed and ice properties. A test at a pilot station (BYRD) in west Antarctica indicated that the dip parameters estimated by the method are reliable. Finally, it was applied to 65 over‐ice stations in three experiments (TAMSEIS, GAMSEIS, and POLENET). Dip parameters of the ice‐rock interface were well estimated. The azimuths concurred with those extracted from Bedmap2 and BedMachine, while several dip angles were larger at quite a few stations. The valleys revealed in this study are deeper and the mountains are higher. Our in situ results prove the improvements of BedMachine, but the ice bed slope might have been underestimated in some regions. The single‐station passive seismic approach can contribute to new models of the Antarctic ice sheet. The dip parameters and ice sheet properties obtained in this study may assist in other studies, such as ice sheet modeling. Plain Language Summary In studies on Antarctic ice sheet modeling, the ice sheet properties and the subglacial topography are important. In recent years, passive seismological methods have become popular to provide in situ detection of the Antarctic ice sheet properties; however, the complexity of subglacial topography has been overlooked. In this study, we demonstrate the impact of subglacial topography on the detection of ice sheet properties. A novel approach was then used to directly reveal the subglacial topography and improve estimates regarding the ice sheet properties. The results suggest that the subglacial terrain in some parts of the Antarctica is steeper than previously studied. This in situ passive seismology approach could contribute to future ice sheet modeling or other similar explorations. Key Points A novel method presented to reveal the dip parameters of subglacial topography and estimate ice thickness and vp/vs ratios Dip parameters of ice‐rock interfaces below 65 over‐ice seismic stations were well estimated in this study In situ results prove the improvements of BedMachine, but the ice bed slope might have been underestimated in some regions</description><subject>Antarctic ice sheet</subject><subject>Autocorrelation</subject><subject>Complexity</subject><subject>Detection</subject><subject>Dipping</subject><subject>Echo sounding</subject><subject>Echoes</subject><subject>Echosounding</subject><subject>Geophysics</subject><subject>Glaciation</subject><subject>Ice</subject><subject>Ice properties</subject><subject>Ice sheets</subject><subject>Mathematical models</subject><subject>Methods</subject><subject>Modelling</subject><subject>Mountains</subject><subject>Parameter estimation</subject><subject>Parameters</subject><subject>Rocks</subject><subject>Seismology</subject><subject>Sheet modelling</subject><subject>Subglacial topography</subject><subject>Topography</subject><issn>2169-9313</issn><issn>2169-9356</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kE1OwzAQhSMEEgi64wCW2BKwx86Pl23FT6sCFbRiGTnJmKZK42K7IHYcgTNyEoyKECtm80ajb-aNXhQdM3rGKMhzoADjAQWRp2InOgCWyljyJN397Rnfj3rOLWmoPIyYOIjsLb6SUeeap4UP6g3pd17ZyjcVGVVIHhaInkytWaP1DToyd033RFRHRqu1NS9Ykxm26LBxq7Ay_Xz_eFQvSIamVqS_8aYy1mKrfGM6coN-YeqjaE-r1mHvRw-j-eXFbHgdT-6uRsP-JFaQZyLGkmZZTXmpMZV5ykCrDLQsdaJECQnXUAugusxBQZZWleZSghQCsgQp4xU_jE62d8Ofzxt0vliaje2CZQE5y7NgwmWgTrdUZY1zFnWxts1K2beC0eI72OJvsAHnW_y1afHtX7YYX90PkhSE4F-Lrnn-</recordid><startdate>202305</startdate><enddate>202305</enddate><creator>Zhou, Jinju</creator><creator>Fu, Lei</creator><creator>Xu, Yongzhong</creator><creator>Zhang, Wei</creator><general>Blackwell Publishing Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TG</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-0195-2666</orcidid></search><sort><creationdate>202305</creationdate><title>New Insight Into Antarctic Ice Sheet Properties Using an Improved Teleseismic P‐Wave Coda Autocorrelation Method</title><author>Zhou, Jinju ; Fu, Lei ; Xu, Yongzhong ; Zhang, Wei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a2874-eb077d03bfe698612fa72f9bf5a4b253f2d420fb82a276ccf3992944275e013c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Antarctic ice sheet</topic><topic>Autocorrelation</topic><topic>Complexity</topic><topic>Detection</topic><topic>Dipping</topic><topic>Echo sounding</topic><topic>Echoes</topic><topic>Echosounding</topic><topic>Geophysics</topic><topic>Glaciation</topic><topic>Ice</topic><topic>Ice properties</topic><topic>Ice sheets</topic><topic>Mathematical models</topic><topic>Methods</topic><topic>Modelling</topic><topic>Mountains</topic><topic>Parameter estimation</topic><topic>Parameters</topic><topic>Rocks</topic><topic>Seismology</topic><topic>Sheet modelling</topic><topic>Subglacial topography</topic><topic>Topography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhou, Jinju</creatorcontrib><creatorcontrib>Fu, Lei</creatorcontrib><creatorcontrib>Xu, Yongzhong</creatorcontrib><creatorcontrib>Zhang, Wei</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><jtitle>Journal of geophysical research. 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But the impact of complex subglacial topography on these methods has not been discussed. In this study, the influence of subglacial topography on teleseismic P‐wave coda autocorrelation was first analyzed. As the dip angle of the ice‐rock interface increased, the time difference caused by the dipping interface became significant. We then demonstrated an approach to estimate the dip parameters of ice bed and ice properties. A test at a pilot station (BYRD) in west Antarctica indicated that the dip parameters estimated by the method are reliable. Finally, it was applied to 65 over‐ice stations in three experiments (TAMSEIS, GAMSEIS, and POLENET). Dip parameters of the ice‐rock interface were well estimated. The azimuths concurred with those extracted from Bedmap2 and BedMachine, while several dip angles were larger at quite a few stations. The valleys revealed in this study are deeper and the mountains are higher. Our in situ results prove the improvements of BedMachine, but the ice bed slope might have been underestimated in some regions. The single‐station passive seismic approach can contribute to new models of the Antarctic ice sheet. The dip parameters and ice sheet properties obtained in this study may assist in other studies, such as ice sheet modeling. Plain Language Summary In studies on Antarctic ice sheet modeling, the ice sheet properties and the subglacial topography are important. In recent years, passive seismological methods have become popular to provide in situ detection of the Antarctic ice sheet properties; however, the complexity of subglacial topography has been overlooked. In this study, we demonstrate the impact of subglacial topography on the detection of ice sheet properties. A novel approach was then used to directly reveal the subglacial topography and improve estimates regarding the ice sheet properties. The results suggest that the subglacial terrain in some parts of the Antarctica is steeper than previously studied. This in situ passive seismology approach could contribute to future ice sheet modeling or other similar explorations. Key Points A novel method presented to reveal the dip parameters of subglacial topography and estimate ice thickness and vp/vs ratios Dip parameters of ice‐rock interfaces below 65 over‐ice seismic stations were well estimated in this study In situ results prove the improvements of BedMachine, but the ice bed slope might have been underestimated in some regions</abstract><cop>Washington</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1029/2022JB024864</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-0195-2666</orcidid></addata></record>
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subjects Antarctic ice sheet
Autocorrelation
Complexity
Detection
Dipping
Echo sounding
Echoes
Echosounding
Geophysics
Glaciation
Ice
Ice properties
Ice sheets
Mathematical models
Methods
Modelling
Mountains
Parameter estimation
Parameters
Rocks
Seismology
Sheet modelling
Subglacial topography
Topography
title New Insight Into Antarctic Ice Sheet Properties Using an Improved Teleseismic P‐Wave Coda Autocorrelation Method
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