TY - JOUR
T1 - Upper Mantle Earth Structure in Africa From Full-Wave Ambient Noise Tomography
AU - Emry, E. L.
AU - Shen, Y.
AU - Nyblade, A. A.
AU - Flinders, A.
AU - Bao, X.
N1 - Funding Information:
This work was supported primarily through the National Sciences Foundation Earth Sciences Postdoctoral Fellowship (NSF-EAR 1349684). Additional funds for initial collaboration travel as well as ramp-up and wrap-up time were supplied through NSF (grants OISE-0530062, EAR-0440032, EAR-0824781, and EAR-1634108 through Penn State University and EAR-1516680 and OPP-1643798 through New Mexico Institute of Science and Technology). Additional funds to present this research were supplied by the Computational Infrastructure for Geodynamics (CIG) and the GeoPRISMs Rift Initiation and Evolution TEI. The authors gratefully acknowledge technical support provided by K. Bryan and the computational facilities at the University of Rhode Island. We would like to thank two anonymous reviewers, M. Haney, and Editor M. Long, whose constructive comments helped to improve this paper. We would also like to thank B. Savage, N. Accardo, H. Rotman, J. van Wijk, N. Iverson, and many others for their helpful and insightful discussions regarding this work. All data were requested and obtained from the Incorporated Research Institutions for Seismology Data Management Center (https://www. iris.edu/hq/). The final tomographic model is available online from the IRIS Earth Model Collaboration (http://ds.iris. edu/ds/products/emc-africaantemry-etal2018/). The authors would like to acknowledge that data used in this project originated from several seismic deployments installed and maintained by international groups of Earth scientists, engineers, and technical and logistical support staff. In particular, we would like to thank the community of African geoscientists, who contribute significant efforts to make such deployments possible.
Funding Information:
This work was supported primarily through the National Sciences Foundation Earth Sciences Postdoctoral Fellowship (NSF-EAR 1349684). Additional funds for initial collaboration travel as well as ramp-up and wrap-up time were supplied through NSF (grants OISE-0530062, EAR-0440032, EAR-0824781, and EAR-1634108 through Penn State University and EAR-1516680 and OPP-1643798 through New Mexico Institute of Science and Technology). Additional funds to present this research were supplied by the Computational Infrastructure for Geodynamics (CIG) and the GeoPRISMs Rift Initiation and Evolution TEI. The authors gratefully acknowledge technical support provided by K. Bryan and the computational facilities at the University of Rhode Island. We would like to thank two anonymous reviewers, M. Haney, and Editor M. Long, whose constructive comments helped to improve this paper. We would also like to thank B. Savage, N. Accardo, H. Rotman, J. van Wijk, N. Iverson, and many others for their helpful and insightful discussions regarding this work. All data were requested and obtained from the Incorporated Research Institutions for Seismology Data Management Center (https://www.iris.edu/hq/). The final tomographic model is available online from the IRIS Earth Model Collaboration (http://ds.iris.edu/ds/products/emc-africaantemry-etal2018/). The authors would like to acknowledge that data used in this project originated from several seismic deployments installed and maintained by international groups of Earth scientists, engineers, and technical and logistical support staff. In particular, we would like to thank the community of African geoscientists, who contribute significant efforts to make such deployments possible.
Publisher Copyright:
©2018. The Authors.
PY - 2019/1
Y1 - 2019/1
N2 - Our understanding of the tectonic development of the African continent and the interplay between its geological provinces is hindered by unevenly distributed seismic instrumentation. In order to better understand the continent, we used long-period ambient noise full-waveform tomography on data collected from 186 broadband seismic stations throughout Africa and surrounding regions to better image the upper mantle structure. We extracted empirical Green's functions from ambient seismic noise using a frequency-time normalization method and retrieved coherent signal at periods of 7–340 s. We simulated wave propagation through a heterogeneous Earth using a spherical finite-difference approach to obtain synthetic waveforms, measured the misfit as phase delay between the data and synthetics, calculated numerical sensitivity kernels using the scattering integral approach, and iteratively inverted for structure. The resulting images of isotropic, shear wave speed for the continent reveal segmented, low-velocity upper mantle beneath the highly magmatic northern and eastern sections of the East African Rift System (EARS). In the southern and western sections, high-velocity upper mantle dominates, and distinct, low-velocity anomalies are restricted to regions of current volcanism. At deeper depths, the southern and western EARS transition to low velocities. In addition to the EARS, several low-velocity anomalies are scattered through the shallow upper mantle beneath Angola and North Africa, and some of these low-velocity anomalies may be connected to a deeper feature. Distinct upper mantle high-velocity anomalies are imaged throughout the continent and suggest multiple cratonic roots within the Congo region and possible cratonic roots within the Sahara Metacraton.
AB - Our understanding of the tectonic development of the African continent and the interplay between its geological provinces is hindered by unevenly distributed seismic instrumentation. In order to better understand the continent, we used long-period ambient noise full-waveform tomography on data collected from 186 broadband seismic stations throughout Africa and surrounding regions to better image the upper mantle structure. We extracted empirical Green's functions from ambient seismic noise using a frequency-time normalization method and retrieved coherent signal at periods of 7–340 s. We simulated wave propagation through a heterogeneous Earth using a spherical finite-difference approach to obtain synthetic waveforms, measured the misfit as phase delay between the data and synthetics, calculated numerical sensitivity kernels using the scattering integral approach, and iteratively inverted for structure. The resulting images of isotropic, shear wave speed for the continent reveal segmented, low-velocity upper mantle beneath the highly magmatic northern and eastern sections of the East African Rift System (EARS). In the southern and western sections, high-velocity upper mantle dominates, and distinct, low-velocity anomalies are restricted to regions of current volcanism. At deeper depths, the southern and western EARS transition to low velocities. In addition to the EARS, several low-velocity anomalies are scattered through the shallow upper mantle beneath Angola and North Africa, and some of these low-velocity anomalies may be connected to a deeper feature. Distinct upper mantle high-velocity anomalies are imaged throughout the continent and suggest multiple cratonic roots within the Congo region and possible cratonic roots within the Sahara Metacraton.
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U2 - 10.1029/2018GC007804
DO - 10.1029/2018GC007804
M3 - Article
AN - SCOPUS:85059511101
SN - 1525-2027
VL - 20
SP - 120
EP - 147
JO - Geochemistry, Geophysics, Geosystems
JF - Geochemistry, Geophysics, Geosystems
IS - 1
ER -