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
Hauptverfasser: Waszek, Lauren, Anandawansha, Rashni, Sexton, Justin, Tauzin, Benoit
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Anandawansha, Rashni
Sexton, Justin
Tauzin, Benoit
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
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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><identifier>ISSN: 0094-8276</identifier><identifier>EISSN: 1944-8007</identifier><identifier>DOI: 10.1029/2024GL110852</identifier><language>eng</language><publisher>Washington: John Wiley &amp; 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. 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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. 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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 &amp; 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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