Geodynamic Modeling With Uncertain Initial Geometries

Publikationstyp:
Zeitschriftenaufsatz
Metadaten:
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

Datenquelle: Web of Science (Lite)

Andere Metadatenquellen:
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

Datenquelle: 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

Datenquelle: OPENSCIENCE.UB

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