Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-5780
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dc.contributor.authorReuber, Georg S.-
dc.contributor.authorSimons, Frederik J.-
dc.date.accessioned2021-05-07T08:26:03Z-
dc.date.available2021-05-07T08:26:03Z-
dc.date.issued2020-
dc.identifier.urihttps://openscience.ub.uni-mainz.de/handle/20.500.12030/5789-
dc.description.abstractWe discuss the resolving power of three geophysical imaging and inversion techniques, and their combination, for the reconstruction of material parameters in the Earth’s subsurface. The governing equations are those of Newton and Poisson for gravitational problems, the acoustic wave equation under Hookean elasticity for seismology, and the geodynamics equations of Stokes for incompressible steady-state flow in the mantle. The observables are the gravitational potential, the seismic displacement, and the surface velocity, all measured at the surface. The inversion parameters of interest are the mass density, the acoustic wave speed, and the viscosity. These systems of partial differential equations and their adjoints were implemented in a single Python code using the finite-element library FeNICS. To investigate the shape of the cost functions, we present a grid search in the parameter space for three end-member geological settings: a falling block, a subduction zone, and a mantle plume. The performance of a gradient-based inversion for each single observable separately, and in combination, is presented. We furthermore investigate the performance of a shape-optimizing inverse method, when the material is known, and an inversion that inverts for the material parameters of an anomaly with known shape.en_GB
dc.language.isoengde
dc.rightsCC BY*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subject.ddc550 Geowissenschaftende_DE
dc.subject.ddc550 Earth sciencesen_GB
dc.titleMulti-physics adjoint modeling of Earth structure : combining gravimetric, seismic, and geodynamic inversionsen_GB
dc.typeZeitschriftenaufsatzde
dc.identifier.doihttp://doi.org/10.25358/openscience-5780-
jgu.type.dinitypearticleen_GB
jgu.type.versionPublished versionde
jgu.type.resourceTextde
jgu.organisation.departmentFB 09 Chemie, Pharmazie u. Geowissensch.de
jgu.organisation.number7950-
jgu.organisation.nameJohannes Gutenberg-Universität Mainz-
jgu.rights.accessrightsopenAccess-
jgu.journal.titleGEM : international journal on geomathematicsde
jgu.journal.volume11de
jgu.pages.alternative30de
jgu.publisher.year2020-
jgu.publisher.nameSpringerde
jgu.publisher.placeBerlin u.a.de
jgu.publisher.urihttps://doi.org/10.1007/s13137-020-00166-8de
jgu.publisher.issn1869-2680de
jgu.organisation.placeMainz-
jgu.subject.ddccode550de
jgu.publisher.doi10.1007/s13137-020-00166-8
jgu.organisation.rorhttps://ror.org/023b0x485
Appears in collections:JGU-Publikationen

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