Geodynamic Modeling With Uncertain Initial Geometries
- Publication type:
- Journal article
- Metadata:
-
- Autoren
- A Spang
- TS Baumann
- BJP Kaus
- Autoren-URL
- https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000813013700001&DestLinkType=FullRecord&DestApp=WOS_CPL
- DOI
- 10.1029/2021GC010265
- eISSN
- 1525-2027
- Externe Identifier
- Clarivate Analytics Document Solution ID: 2F6JM
- Ausgabe der Veröffentlichung
- 6
- Zeitschrift
- GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS
- Schlüsselwörter
- geometry parameterization
- variable geometry
- salt tectonics
- subduction velocity
- inversion
- subduction angle
- Artikelnummer
- ARTN e2021GC010265
- Datum der Veröffentlichung
- 2022
- Status
- Published
- Titel
- Geodynamic Modeling With Uncertain Initial Geometries
- Sub types
- Article
- Ausgabe der Zeitschrift
- 23
Data source: Web of Science (Lite)
- Other metadata sources:
-
- Abstract
- <jats:title>Abstract</jats:title><jats:p>Geodynamic codes have become fast and efficient enough to facilitate sensitivity analysis of rheological parameters. With sufficient data, they can even be inverted for. Yet, the geodynamic inverse problem is often regularized by assuming a constant geometry of the geological setting (e.g., shape, location and size of salt diapirs or magma bodies) or approximating irregular bodies with simple shapes like boxes, spheres or ellipsoids to reduce the parameter space. Here, we present a simple and intuitive method to parameterize complex 3D bodies and incorporate them into geodynamic inverse problems. The approach can automatically create an entire ensemble of initial geometries, enabling us to account for uncertainties in imaging data. Furthermore, it allows us to investigate the sensitivity of the model results to geometrical properties and facilitates inverting for them. We demonstrate the method with two examples. A salt diapir in an extending regime and free subduction of an oceanic plate under a continent. In both cases, small differences in the model<jats:sc>'</jats:sc>s initial geometry lead to vastly different results. Be it the formation of faults or the velocity of plates. Using the salt diapir example, we demonstrate that, given an additional geophysical observation, we are able to invert for uncertain geometric properties. This highlights that geodynamic studies should investigate the sensitivity of their models to the initial geometry and include it in their inversion framework. We make our method available as part of the open‐source software geomIO.</jats:p>
- Autoren
- A Spang
- TS Baumann
- BJP Kaus
- DOI
- 10.1029/2021gc010265
- eISSN
- 1525-2027
- ISSN
- 1525-2027
- Ausgabe der Veröffentlichung
- 6
- Zeitschrift
- Geochemistry, Geophysics, Geosystems
- Sprache
- en
- Online publication date
- 2022
- Datum der Veröffentlichung
- 2022
- Status
- Published
- Herausgeber
- American Geophysical Union (AGU)
- Herausgeber URL
- http://dx.doi.org/10.1029/2021gc010265
- Datum der Datenerfassung
- 2023
- Titel
- Geodynamic Modeling With Uncertain Initial Geometries
- Ausgabe der Zeitschrift
- 23
Data source: Crossref
- Author's licence
- CC-BY-NC
- Autoren
- Arne Spang
- Tobias Baumann
- Boris Kaus
- Hosting institution
- Universitätsbibliothek Mainz
- Sammlungen
- DFG-491381577-G
- Resource version
- Published version
- DOI
- 10.1029/2021GC010265
- Funding acknowledgements
- Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 491381577
- File(s) embargoed
- false
- Open access
- true
- ISSN
- 1525-2027
- Ausgabe der Veröffentlichung
- 6
- Zeitschrift
- Geochemistry, geophysics, geosystems
- Schlüsselwörter
- 550 Geowissenschaften
- 550 Earth sciences
- Sprache
- eng
- Open access status
- Open Access
- Paginierung
- e2021GC010265
- Datum der Veröffentlichung
- 2022
- Public URL
- https://openscience.ub.uni-mainz.de/handle/20.500.12030/8139
- Herausgeber
- Wiley
- Datum der Datenerfassung
- 2022
- Datum, an dem der Datensatz öffentlich gemacht wurde
- 2022
- Zugang
- Public
- Titel
- Geodynamic modeling with uncertain initial geometries
- Ausgabe der Zeitschrift
- 23
Files
geodynamic_modeling_with_unce-20221020152449925.pdf
Data source: OPENSCIENCE.UB
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