Approximate treatment of seafloor topographic effects in three-dimensional marine magnetotelluric inversion

Seafloor magnetotelluric (MT) observations using ocean bottom electromagnetometers (OBEMs) provide information on the electrical conductivity structure of the oceanic mantle. A three-dimensional (3-D) analysis is particularly important for marine MT data because the electric and magnetic fields obse...

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Main Authors: Noriko Tada, Kiyoshi Baba, Weerachai Siripunvaraporn, Makoto Uyeshima, Hisashi Utada
Other Authors: Japan Agency for Marine-Earth Science and Technology
Format: Article
Published: 2018
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/14096
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spelling th-mahidol.140962018-06-11T11:46:45Z Approximate treatment of seafloor topographic effects in three-dimensional marine magnetotelluric inversion Noriko Tada Kiyoshi Baba Weerachai Siripunvaraporn Makoto Uyeshima Hisashi Utada Japan Agency for Marine-Earth Science and Technology University of Tokyo Mahidol University Commission on Higher Education Earth and Planetary Sciences Seafloor magnetotelluric (MT) observations using ocean bottom electromagnetometers (OBEMs) provide information on the electrical conductivity structure of the oceanic mantle. A three-dimensional (3-D) analysis is particularly important for marine MT data because the electric and magnetic fields observed on the seafloor are distorted by the rugged seafloor topography and the distribution of land and ocean. Incorporating topography into 3-D models is crucial to making accurate estimates of the oceanic mantle's conductivity structure. Here we propose an approximate treatment of seafloor topography to accurately incorporate the effect of topography without significantly increasing the computational burden. First, the topography (lateral variation in water depth) is converted to lateral variation in effective conductivity by volumetric averaging. Second, we compute the electric and magnetic field components used to calculate the MT responses at arbitrary points from the electric field components on staggered grids, using a modified interpolation and extrapolation scheme. To verify the performance of this approximate treatment of seafloor topography in 3-D inversions, we tested the method using synthetic seafloor datasets and both 3-D forward modeling and inversion. The results of the synthetic inversions show that a given conductivity anomaly in the oceanic upper mantle can be recovered with sufficient accuracy after several iterations. Copyright © The Society of Geomagnetism and Earth, Planetary and Space Sciences (SGEPSS). 2018-06-11T04:46:45Z 2018-06-11T04:46:45Z 2012-01-01 Article Earth, Planets and Space. Vol.64, No.11 (2012), 1005-1021 10.5047/eps.2012.04.005 18805981 13438832 2-s2.0-84876365997 https://repository.li.mahidol.ac.th/handle/123456789/14096 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84876365997&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Earth and Planetary Sciences
spellingShingle Earth and Planetary Sciences
Noriko Tada
Kiyoshi Baba
Weerachai Siripunvaraporn
Makoto Uyeshima
Hisashi Utada
Approximate treatment of seafloor topographic effects in three-dimensional marine magnetotelluric inversion
description Seafloor magnetotelluric (MT) observations using ocean bottom electromagnetometers (OBEMs) provide information on the electrical conductivity structure of the oceanic mantle. A three-dimensional (3-D) analysis is particularly important for marine MT data because the electric and magnetic fields observed on the seafloor are distorted by the rugged seafloor topography and the distribution of land and ocean. Incorporating topography into 3-D models is crucial to making accurate estimates of the oceanic mantle's conductivity structure. Here we propose an approximate treatment of seafloor topography to accurately incorporate the effect of topography without significantly increasing the computational burden. First, the topography (lateral variation in water depth) is converted to lateral variation in effective conductivity by volumetric averaging. Second, we compute the electric and magnetic field components used to calculate the MT responses at arbitrary points from the electric field components on staggered grids, using a modified interpolation and extrapolation scheme. To verify the performance of this approximate treatment of seafloor topography in 3-D inversions, we tested the method using synthetic seafloor datasets and both 3-D forward modeling and inversion. The results of the synthetic inversions show that a given conductivity anomaly in the oceanic upper mantle can be recovered with sufficient accuracy after several iterations. Copyright © The Society of Geomagnetism and Earth, Planetary and Space Sciences (SGEPSS).
author2 Japan Agency for Marine-Earth Science and Technology
author_facet Japan Agency for Marine-Earth Science and Technology
Noriko Tada
Kiyoshi Baba
Weerachai Siripunvaraporn
Makoto Uyeshima
Hisashi Utada
format Article
author Noriko Tada
Kiyoshi Baba
Weerachai Siripunvaraporn
Makoto Uyeshima
Hisashi Utada
author_sort Noriko Tada
title Approximate treatment of seafloor topographic effects in three-dimensional marine magnetotelluric inversion
title_short Approximate treatment of seafloor topographic effects in three-dimensional marine magnetotelluric inversion
title_full Approximate treatment of seafloor topographic effects in three-dimensional marine magnetotelluric inversion
title_fullStr Approximate treatment of seafloor topographic effects in three-dimensional marine magnetotelluric inversion
title_full_unstemmed Approximate treatment of seafloor topographic effects in three-dimensional marine magnetotelluric inversion
title_sort approximate treatment of seafloor topographic effects in three-dimensional marine magnetotelluric inversion
publishDate 2018
url https://repository.li.mahidol.ac.th/handle/123456789/14096
_version_ 1763495833986138112