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| Titel |
Stochastic global modeling of the archeomagnetic field |
| VerfasserIn |
Gabrielle Hellio, Claire Bouligand, Nicolas Gillet, Dominique Jault |
| Konferenz |
EGU General Assembly 2016
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 18 (2016) |
| Datensatznummer |
250129639
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| Publikation (Nr.) |
 EGU/EGU2016-9780.pdf |
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| Zusammenfassung |
| Modeling of the archeomagnetic field relies on indirect estimations of the ancient field recorded both in archeological artifacts and lake sediments. The sparse repartition of archeomagnetic data in space and time and their associated large measurement and dating uncertainties limit our ability to recover the spatio-temporal variations of the geomagnetic field over the past few millennia. The time regularization generally used to overcome the problem of non-uniqueness leads to models that are generally too smooth compared to geomagnetic time-series.
The aim of this study is to perform a stochastic inversion of all available archeomagnetic data in order to build an ensemble of global models covering the past few millennia. The inverse problem is solved using a priori information on the Gauss coefficients. We rely on a time correlation function, which is compatible with present knowledge of the geomagnetic spectra and also with the rapid fluctuations observed in the geomagnetic time series. The method we developed allows us to account for dating errors in a probabilistic framework, at the expense of an inflated data space.
We present here the resulting global model that offers an alternative to existing ones. |
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