Evidence of Bermuda Hot and Wet Upwelling From Novel Three‐Dimensional Global Mantle Electrical Conductivity Image
Abstract A model of electrical conductivity in the mid–mantle transition zone was obtained with improved constraints. An L1‐norm regularization inversion algorithm is proposed here that reduces the influence of noisy data on three‐dimensional geomagnetic depth sounding inversion from C‐responses. He...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-06-01
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| Series: | Geochemistry, Geophysics, Geosystems |
| Online Access: | https://doi.org/10.1029/2020GC009016 |
| _version_ | 1797638062444904448 |
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| author | Shiwen Li Aihua Weng Yanhui Zhang Adam Schultz Yabin Li Yu Tang Zonglin Zou Zikun Zhou |
| author_facet | Shiwen Li Aihua Weng Yanhui Zhang Adam Schultz Yabin Li Yu Tang Zonglin Zou Zikun Zhou |
| author_sort | Shiwen Li |
| collection | DOAJ |
| description | Abstract A model of electrical conductivity in the mid–mantle transition zone was obtained with improved constraints. An L1‐norm regularization inversion algorithm is proposed here that reduces the influence of noisy data on three‐dimensional geomagnetic depth sounding inversion from C‐responses. Here the regularization is implemented by using an L1‐norm to measure the predicted data error, which is normalized by the C‐response covariance, but an L2‐norm is used to measure the regularization term associated with model parameters. The limited‐memory quasi‐Newton method (L‐BFGS) is used to invert for the three‐dimensional electrical conductivity model. The model is discretized by curved rectangular prisms in spherical coordinates. Sensitivity tests show that for good‐quality data contaminated by Gaussian noise, L1 inversion, which could perform as well as L2 inversion, can adequately recover the main features of the electrical conductivity structure within the region of data coverage. When data errors are drawn from an exponential distribution, L1 inversion obtains relatively reliable reconstruction of the electrical structure, even when the noise level is comparable to that of actual C‐responses. C‐responses from 129 low‐latitude and midlatitude geomagnetic observatories are inverted using L1‐norm minimization of the data error. The resulting model reveals an electrically conductive feature in the lower mantle transition zone and upper lower mantle that is broadly coincident with that found in previous studies. The reduced influence of data with large variances on L1‐norm misfits, along with inclusion of responses estimated from more observatories, makes L1 inversion more clearly identify these deep conductive features while identifying previously obscured anoconductive zones. A feature of particular interest is the high electrical conductivity anomaly beneath the Bermuda‐Sargasso Sea region in the mid–mantle transition zone and the uppermost lower mantle. Rock physics analysis indicates that the anomaly is most possibly caused by the wet upwelling material with excessive ~650 K higher temperature, suggesting a narrow tail with a broad head. |
| first_indexed | 2024-03-11T12:57:17Z |
| format | Article |
| id | doaj.art-2a72144cf07e49abaff3fb5e44773309 |
| institution | Directory Open Access Journal |
| issn | 1525-2027 |
| language | English |
| last_indexed | 2024-03-11T12:57:17Z |
| publishDate | 2020-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geochemistry, Geophysics, Geosystems |
| spelling | doaj.art-2a72144cf07e49abaff3fb5e447733092023-11-03T16:56:04ZengWileyGeochemistry, Geophysics, Geosystems1525-20272020-06-01216n/an/a10.1029/2020GC009016Evidence of Bermuda Hot and Wet Upwelling From Novel Three‐Dimensional Global Mantle Electrical Conductivity ImageShiwen Li0Aihua Weng1Yanhui Zhang2Adam Schultz3Yabin Li4Yu Tang5Zonglin Zou6Zikun Zhou7China Aero Geophysical Survey and Remote Sensing Center for Natural Resources Beijing ChinaCollege of Geo‐Exploration Sciences and Technology Jilin University Changchun ChinaCollege of Geo‐Exploration Sciences and Technology Jilin University Changchun ChinaCollege of Earth, Ocean, and Atmospheric Sciences Oregon State University Corvallis OR USACollege of Geo‐Exploration Sciences and Technology Jilin University Changchun ChinaCollege of Geo‐Exploration Sciences and Technology Jilin University Changchun ChinaCollege of Geo‐Exploration Sciences and Technology Jilin University Changchun ChinaCollege of Geo‐Exploration Sciences and Technology Jilin University Changchun ChinaAbstract A model of electrical conductivity in the mid–mantle transition zone was obtained with improved constraints. An L1‐norm regularization inversion algorithm is proposed here that reduces the influence of noisy data on three‐dimensional geomagnetic depth sounding inversion from C‐responses. Here the regularization is implemented by using an L1‐norm to measure the predicted data error, which is normalized by the C‐response covariance, but an L2‐norm is used to measure the regularization term associated with model parameters. The limited‐memory quasi‐Newton method (L‐BFGS) is used to invert for the three‐dimensional electrical conductivity model. The model is discretized by curved rectangular prisms in spherical coordinates. Sensitivity tests show that for good‐quality data contaminated by Gaussian noise, L1 inversion, which could perform as well as L2 inversion, can adequately recover the main features of the electrical conductivity structure within the region of data coverage. When data errors are drawn from an exponential distribution, L1 inversion obtains relatively reliable reconstruction of the electrical structure, even when the noise level is comparable to that of actual C‐responses. C‐responses from 129 low‐latitude and midlatitude geomagnetic observatories are inverted using L1‐norm minimization of the data error. The resulting model reveals an electrically conductive feature in the lower mantle transition zone and upper lower mantle that is broadly coincident with that found in previous studies. The reduced influence of data with large variances on L1‐norm misfits, along with inclusion of responses estimated from more observatories, makes L1 inversion more clearly identify these deep conductive features while identifying previously obscured anoconductive zones. A feature of particular interest is the high electrical conductivity anomaly beneath the Bermuda‐Sargasso Sea region in the mid–mantle transition zone and the uppermost lower mantle. Rock physics analysis indicates that the anomaly is most possibly caused by the wet upwelling material with excessive ~650 K higher temperature, suggesting a narrow tail with a broad head.https://doi.org/10.1029/2020GC009016 |
| spellingShingle | Shiwen Li Aihua Weng Yanhui Zhang Adam Schultz Yabin Li Yu Tang Zonglin Zou Zikun Zhou Evidence of Bermuda Hot and Wet Upwelling From Novel Three‐Dimensional Global Mantle Electrical Conductivity Image Geochemistry, Geophysics, Geosystems |
| title | Evidence of Bermuda Hot and Wet Upwelling From Novel Three‐Dimensional Global Mantle Electrical Conductivity Image |
| title_full | Evidence of Bermuda Hot and Wet Upwelling From Novel Three‐Dimensional Global Mantle Electrical Conductivity Image |
| title_fullStr | Evidence of Bermuda Hot and Wet Upwelling From Novel Three‐Dimensional Global Mantle Electrical Conductivity Image |
| title_full_unstemmed | Evidence of Bermuda Hot and Wet Upwelling From Novel Three‐Dimensional Global Mantle Electrical Conductivity Image |
| title_short | Evidence of Bermuda Hot and Wet Upwelling From Novel Three‐Dimensional Global Mantle Electrical Conductivity Image |
| title_sort | evidence of bermuda hot and wet upwelling from novel three dimensional global mantle electrical conductivity image |
| url | https://doi.org/10.1029/2020GC009016 |
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