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Correlation-based modeling and separation of geomagnetic field components

Abstract : We introduce a technique for the modeling and separation of geomagnetic field components that is based on an analysis of their correlation structures alone. The inversion is based on a Bayesian formulation, which allows the computation of uncertainties. The technique allows the incorporation of complex measurement geometries like observatory data in a simple way. We show how our technique is linked to other well-known inversion techniques. A case study based on observational data is given.
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Submitted on : Wednesday, August 10, 2022 - 3:57:28 PM
Last modification on : Thursday, August 11, 2022 - 3:47:24 AM

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JGR Solid Earth - 2016 - Holsc...
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Matthias Holschneider, Vincent Lesur, Stefan Mauerberger, Julien Baerenzung. Correlation-based modeling and separation of geomagnetic field components. Journal of Geophysical Research: Solid Earth, 2016, 121, pp.3142-3160. ⟨10.1002/2015JB012629⟩. ⟨insu-03748796⟩

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