Thermochemistry of the Mantle Transition Zone Beneath the Western Pacific
The Earth's mantle transition zone has significant control on material flux between upper and lower mantle, thus constraining its properties is imperative to understand dynamic processes and circulation patterns. Global seismic data sets to study the transition zone typically display highly une...
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Veröffentlicht in: | Geophysical research letters 2024-09, Vol.51 (18), p.n/a |
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description | The Earth's mantle transition zone has significant control on material flux between upper and lower mantle, thus constraining its properties is imperative to understand dynamic processes and circulation patterns. Global seismic data sets to study the transition zone typically display highly uneven spatial distribution. Therefore, complementary geometries are essential to improve knowledge of physical structures, thermochemistry, and impact on convection. Here, we present a new automated approach utilizing machine learning to analyze large seismic data sets, and derive high‐resolution maps of transition zone discontinuity properties. Seismic measurements from ScSScS precursors are integrated with mineralogical modeling to constrain thermochemistry of the western Pacific subduction zone. Our models map recent subduction patterns through the transition zone, indicating stagnation of slabs and accumulation of basalt at its base, and interaction between stagnant slabs and plumes. These results suggest that the thermochemical properties of upper mantle discontinuities can provide high‐resolution images of mantle circulation patterns.
Plain Language Summary
Earth's upper mantle displays several discontinuous jumps in its physical properties, which result from changes in its mineral structure as pressure and temperature increase with depth. The major transitions near to 410 and 660 km depth are associated with physical changes that have significant influence on the flow of hot upwelling plumes and cold downgoing slabs. The depth and strength of the discontinuities depend on the local temperature and composition, and therefore constraining these properties can help to track mantle circulation patterns and better understand convection behavior. Global seismic data sets are highly uneven in spatial coverage, and therefore must be supplemented by data sets with different spatial sensitivity. Here, we present an automated approach based on machine learning to analyze seismic phases with such complementary geometry, and apply these techniques to investigate subduction zones beneath the western Pacific. We incorporate high‐resolution observations of the discontinuities with modeling from mineral physics, producing new models of temperature and composition in this region. The models track recent convection patterns through the transition zone, indicating ponding of slabs and plumes. These results suggest that the temperature and composition of the transition zone can be u |
doi_str_mv | 10.1029/2024GL110852 |
format | Article |
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Plain Language Summary
Earth's upper mantle displays several discontinuous jumps in its physical properties, which result from changes in its mineral structure as pressure and temperature increase with depth. The major transitions near to 410 and 660 km depth are associated with physical changes that have significant influence on the flow of hot upwelling plumes and cold downgoing slabs. The depth and strength of the discontinuities depend on the local temperature and composition, and therefore constraining these properties can help to track mantle circulation patterns and better understand convection behavior. Global seismic data sets are highly uneven in spatial coverage, and therefore must be supplemented by data sets with different spatial sensitivity. Here, we present an automated approach based on machine learning to analyze seismic phases with such complementary geometry, and apply these techniques to investigate subduction zones beneath the western Pacific. We incorporate high‐resolution observations of the discontinuities with modeling from mineral physics, producing new models of temperature and composition in this region. The models track recent convection patterns through the transition zone, indicating ponding of slabs and plumes. These results suggest that the temperature and composition of the transition zone can be used to provide detailed maps of mantle circulation.
Key Points
New data sets of ScSScS precursors beneath the western Pacific subduction zones are compiled and analyzed with machine learning methods
High‐resolution measurements of transition zone discontinuities and mineralogical modeling provide detailed maps of thermochemistry
Thermochemical models track recent mantle circulation patterns, indicating slab stagnation, basalt accumulation, and interaction with plumes</description><identifier>ISSN: 0094-8276</identifier><identifier>EISSN: 1944-8007</identifier><identifier>DOI: 10.1029/2024GL110852</identifier><language>eng</language><publisher>Washington: John Wiley & Sons, Inc</publisher><subject>Automation ; Basalt ; Circulation ; Circulation patterns ; Cold flow ; Composition ; Constraining ; Convection ; Convection cooling ; Convection patterns ; Data analysis ; Datasets ; Depth ; Discontinuity ; Earth mantle ; Earthquake prediction ; geodynamics ; Impact analysis ; Learning algorithms ; Lower mantle ; Machine learning ; mantle ; Modelling ; Observational learning ; Ocean circulation ; Physical properties ; Physics ; Plumes ; Ponding ; Seismic activity ; Seismic data ; Seismic response ; Seismological data ; seismology ; Slabs ; Spatial data ; Spatial distribution ; Subduction ; Subduction (geology) ; Subduction zones ; Temperature ; Temperature rise ; Thermochemical properties ; Thermochemistry ; Transition zone ; Upper mantle ; Upwelling</subject><ispartof>Geophysical research letters, 2024-09, Vol.51 (18), p.n/a</ispartof><rights>2024. The Author(s).</rights><rights>2024. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2319-fcab9c9e3811887e4ea4051c5463bb1b492b6198ca4355e01bde46b3e1f4c4d13</cites><orcidid>0000-0002-9960-1484 ; 0000-0002-9589-4304</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%2F2024GL110852$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2024GL110852$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>315,781,785,865,1418,11519,11567,27929,27930,45579,45580,46057,46473,46481,46897</link.rule.ids></links><search><creatorcontrib>Waszek, Lauren</creatorcontrib><creatorcontrib>Anandawansha, Rashni</creatorcontrib><creatorcontrib>Sexton, Justin</creatorcontrib><creatorcontrib>Tauzin, Benoit</creatorcontrib><title>Thermochemistry of the Mantle Transition Zone Beneath the Western Pacific</title><title>Geophysical research letters</title><description>The Earth's mantle transition zone has significant control on material flux between upper and lower mantle, thus constraining its properties is imperative to understand dynamic processes and circulation patterns. Global seismic data sets to study the transition zone typically display highly uneven spatial distribution. Therefore, complementary geometries are essential to improve knowledge of physical structures, thermochemistry, and impact on convection. Here, we present a new automated approach utilizing machine learning to analyze large seismic data sets, and derive high‐resolution maps of transition zone discontinuity properties. Seismic measurements from ScSScS precursors are integrated with mineralogical modeling to constrain thermochemistry of the western Pacific subduction zone. Our models map recent subduction patterns through the transition zone, indicating stagnation of slabs and accumulation of basalt at its base, and interaction between stagnant slabs and plumes. These results suggest that the thermochemical properties of upper mantle discontinuities can provide high‐resolution images of mantle circulation patterns.
Plain Language Summary
Earth's upper mantle displays several discontinuous jumps in its physical properties, which result from changes in its mineral structure as pressure and temperature increase with depth. The major transitions near to 410 and 660 km depth are associated with physical changes that have significant influence on the flow of hot upwelling plumes and cold downgoing slabs. The depth and strength of the discontinuities depend on the local temperature and composition, and therefore constraining these properties can help to track mantle circulation patterns and better understand convection behavior. Global seismic data sets are highly uneven in spatial coverage, and therefore must be supplemented by data sets with different spatial sensitivity. Here, we present an automated approach based on machine learning to analyze seismic phases with such complementary geometry, and apply these techniques to investigate subduction zones beneath the western Pacific. We incorporate high‐resolution observations of the discontinuities with modeling from mineral physics, producing new models of temperature and composition in this region. The models track recent convection patterns through the transition zone, indicating ponding of slabs and plumes. These results suggest that the temperature and composition of the transition zone can be used to provide detailed maps of mantle circulation.
Key Points
New data sets of ScSScS precursors beneath the western Pacific subduction zones are compiled and analyzed with machine learning methods
High‐resolution measurements of transition zone discontinuities and mineralogical modeling provide detailed maps of thermochemistry
Thermochemical models track recent mantle circulation patterns, indicating slab stagnation, basalt accumulation, and interaction with plumes</description><subject>Automation</subject><subject>Basalt</subject><subject>Circulation</subject><subject>Circulation patterns</subject><subject>Cold flow</subject><subject>Composition</subject><subject>Constraining</subject><subject>Convection</subject><subject>Convection cooling</subject><subject>Convection patterns</subject><subject>Data analysis</subject><subject>Datasets</subject><subject>Depth</subject><subject>Discontinuity</subject><subject>Earth mantle</subject><subject>Earthquake prediction</subject><subject>geodynamics</subject><subject>Impact analysis</subject><subject>Learning algorithms</subject><subject>Lower mantle</subject><subject>Machine learning</subject><subject>mantle</subject><subject>Modelling</subject><subject>Observational learning</subject><subject>Ocean circulation</subject><subject>Physical properties</subject><subject>Physics</subject><subject>Plumes</subject><subject>Ponding</subject><subject>Seismic activity</subject><subject>Seismic data</subject><subject>Seismic response</subject><subject>Seismological data</subject><subject>seismology</subject><subject>Slabs</subject><subject>Spatial data</subject><subject>Spatial distribution</subject><subject>Subduction</subject><subject>Subduction (geology)</subject><subject>Subduction zones</subject><subject>Temperature</subject><subject>Temperature rise</subject><subject>Thermochemical properties</subject><subject>Thermochemistry</subject><subject>Transition zone</subject><subject>Upper mantle</subject><subject>Upwelling</subject><issn>0094-8276</issn><issn>1944-8007</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><recordid>eNp90MFKw0AQBuBFFKzVmw-w4NXozO4m2T1q0VqIKFIRvITNdkK2tEndTZG-vdF68ORp5vDxz_Azdo5whSDMtQChpgUi6FQcsBEapRINkB-yEYAZdpFnx-wkxiUASJA4YrN5Q2HduYbWPvZhx7ua9w3xR9v2K-LzYNvoe9-1_L1rid9SS7ZvfsgbxZ5Cy5-t87V3p-yotqtIZ79zzF7v7-aTh6R4ms4mN0XihEST1M5WxhmSGlHrnBRZBSm6VGWyqrBSRlQZGu2skmlKgNWCVFZJwlo5tUA5Zhf73E3oPrbDD-Wy24Z2OFlKBJOnQmViUJd75UIXY6C63AS_tmFXIpTfZZV_yxq42PNPv6Ldv7acvhSZFsLILyNTabw</recordid><startdate>20240928</startdate><enddate>20240928</enddate><creator>Waszek, Lauren</creator><creator>Anandawansha, Rashni</creator><creator>Sexton, Justin</creator><creator>Tauzin, Benoit</creator><general>John Wiley & Sons, Inc</general><scope>24P</scope><scope>WIN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7TN</scope><scope>8FD</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><orcidid>https://orcid.org/0000-0002-9960-1484</orcidid><orcidid>https://orcid.org/0000-0002-9589-4304</orcidid></search><sort><creationdate>20240928</creationdate><title>Thermochemistry of the Mantle Transition Zone Beneath the Western Pacific</title><author>Waszek, Lauren ; Anandawansha, Rashni ; Sexton, Justin ; Tauzin, Benoit</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2319-fcab9c9e3811887e4ea4051c5463bb1b492b6198ca4355e01bde46b3e1f4c4d13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Automation</topic><topic>Basalt</topic><topic>Circulation</topic><topic>Circulation patterns</topic><topic>Cold flow</topic><topic>Composition</topic><topic>Constraining</topic><topic>Convection</topic><topic>Convection cooling</topic><topic>Convection patterns</topic><topic>Data analysis</topic><topic>Datasets</topic><topic>Depth</topic><topic>Discontinuity</topic><topic>Earth mantle</topic><topic>Earthquake prediction</topic><topic>geodynamics</topic><topic>Impact analysis</topic><topic>Learning algorithms</topic><topic>Lower mantle</topic><topic>Machine learning</topic><topic>mantle</topic><topic>Modelling</topic><topic>Observational learning</topic><topic>Ocean circulation</topic><topic>Physical properties</topic><topic>Physics</topic><topic>Plumes</topic><topic>Ponding</topic><topic>Seismic activity</topic><topic>Seismic data</topic><topic>Seismic response</topic><topic>Seismological data</topic><topic>seismology</topic><topic>Slabs</topic><topic>Spatial data</topic><topic>Spatial distribution</topic><topic>Subduction</topic><topic>Subduction (geology)</topic><topic>Subduction zones</topic><topic>Temperature</topic><topic>Temperature rise</topic><topic>Thermochemical properties</topic><topic>Thermochemistry</topic><topic>Transition zone</topic><topic>Upper mantle</topic><topic>Upwelling</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Waszek, Lauren</creatorcontrib><creatorcontrib>Anandawansha, Rashni</creatorcontrib><creatorcontrib>Sexton, Justin</creatorcontrib><creatorcontrib>Tauzin, Benoit</creatorcontrib><collection>Wiley Online Library (Open Access Collection)</collection><collection>Wiley Online Library (Open Access Collection)</collection><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Technology Research Database</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Geophysical research letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Waszek, Lauren</au><au>Anandawansha, Rashni</au><au>Sexton, Justin</au><au>Tauzin, Benoit</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Thermochemistry of the Mantle Transition Zone Beneath the Western Pacific</atitle><jtitle>Geophysical research letters</jtitle><date>2024-09-28</date><risdate>2024</risdate><volume>51</volume><issue>18</issue><epage>n/a</epage><issn>0094-8276</issn><eissn>1944-8007</eissn><abstract>The Earth's mantle transition zone has significant control on material flux between upper and lower mantle, thus constraining its properties is imperative to understand dynamic processes and circulation patterns. Global seismic data sets to study the transition zone typically display highly uneven spatial distribution. Therefore, complementary geometries are essential to improve knowledge of physical structures, thermochemistry, and impact on convection. Here, we present a new automated approach utilizing machine learning to analyze large seismic data sets, and derive high‐resolution maps of transition zone discontinuity properties. Seismic measurements from ScSScS precursors are integrated with mineralogical modeling to constrain thermochemistry of the western Pacific subduction zone. Our models map recent subduction patterns through the transition zone, indicating stagnation of slabs and accumulation of basalt at its base, and interaction between stagnant slabs and plumes. These results suggest that the thermochemical properties of upper mantle discontinuities can provide high‐resolution images of mantle circulation patterns.
Plain Language Summary
Earth's upper mantle displays several discontinuous jumps in its physical properties, which result from changes in its mineral structure as pressure and temperature increase with depth. The major transitions near to 410 and 660 km depth are associated with physical changes that have significant influence on the flow of hot upwelling plumes and cold downgoing slabs. The depth and strength of the discontinuities depend on the local temperature and composition, and therefore constraining these properties can help to track mantle circulation patterns and better understand convection behavior. Global seismic data sets are highly uneven in spatial coverage, and therefore must be supplemented by data sets with different spatial sensitivity. Here, we present an automated approach based on machine learning to analyze seismic phases with such complementary geometry, and apply these techniques to investigate subduction zones beneath the western Pacific. We incorporate high‐resolution observations of the discontinuities with modeling from mineral physics, producing new models of temperature and composition in this region. The models track recent convection patterns through the transition zone, indicating ponding of slabs and plumes. These results suggest that the temperature and composition of the transition zone can be used to provide detailed maps of mantle circulation.
Key Points
New data sets of ScSScS precursors beneath the western Pacific subduction zones are compiled and analyzed with machine learning methods
High‐resolution measurements of transition zone discontinuities and mineralogical modeling provide detailed maps of thermochemistry
Thermochemical models track recent mantle circulation patterns, indicating slab stagnation, basalt accumulation, and interaction with plumes</abstract><cop>Washington</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1029/2024GL110852</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-9960-1484</orcidid><orcidid>https://orcid.org/0000-0002-9589-4304</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Automation Basalt Circulation Circulation patterns Cold flow Composition Constraining Convection Convection cooling Convection patterns Data analysis Datasets Depth Discontinuity Earth mantle Earthquake prediction geodynamics Impact analysis Learning algorithms Lower mantle Machine learning mantle Modelling Observational learning Ocean circulation Physical properties Physics Plumes Ponding Seismic activity Seismic data Seismic response Seismological data seismology Slabs Spatial data Spatial distribution Subduction Subduction (geology) Subduction zones Temperature Temperature rise Thermochemical properties Thermochemistry Transition zone Upper mantle Upwelling |
title | Thermochemistry of the Mantle Transition Zone Beneath the Western Pacific |
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