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  Constructing a source model of the geodynamo using deep learning

Kuslits, L., Lemperger, I., Horváth, A., Czirok, L., Wesztergom, V. (2023): Constructing a source model of the geodynamo using deep learning, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-4545

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Item Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5020955 Version Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5020955_1
Genre: Conference Paper

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 Creators:
Kuslits, Lukács1, Author
Lemperger, István1, Author
Horváth, András1, Author
Czirok, Lili1, Author
Wesztergom, Viktor1, Author
Affiliations:
1IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations, ou_5011304              

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 Abstract: Machine learning (ML) is emerging as a tool used in an ever-growing number of branches of contemporary geophysical research. The study of Earth’s internal magnetic field and, more specifically, its generating process, the geodynamo has so far been mostly devoid of applying such tools.In this research, first attempts with one such inference method are presented using an image processing deep neural network trained both on synthetic and real core-mantle boundary (CMB) magnetic field maps.Results show that it is currently impossible to obtain reconstructed source models, which are able to account for both the spatial variations and the secular time variations (SV) of the field. Main features of the maps of actual field values could however be reproduced.

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Language(s): eng - English
 Dates: 2023-07-112023-07-11
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.57757/IUGG23-4545
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Title: XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Place of Event: Berlin
Start-/End Date: 2023-07-11 - 2023-07-20

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Title: XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Source Genre: Proceedings
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Publ. Info: Potsdam : GFZ German Research Centre for Geosciences
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -