Correlation-based modeling and separation of geomagnetic field components
- 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.
| Author details: | Matthias HolschneiderORCiDGND, Vincent LesurORCiD, Stefan Mauerberger, Julien BaerenzungORCiD |
|---|---|
| DOI: | https://doi.org/10.1002/2015JB012629 |
| ISSN: | 2169-9313 |
| ISSN: | 2169-9356 |
| Title of parent work (English): | Journal of geophysical research : Solid earth |
| Publisher: | American Geophysical Union |
| Place of publishing: | Washington |
| Publication type: | Article |
| Language: | English |
| Year of first publication: | 2016 |
| Publication year: | 2016 |
| Release date: | 2020/03/22 |
| Volume: | 121 |
| Number of pages: | 19 |
| First page: | 3142 |
| Last Page: | 3160 |
| Funding institution: | priority program Planetary Magnetism (SPP1488) of the German Research Foundation (DFG); Helmholtz Graduate Research School GeoSim |
| Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Mathematik |
| Peer review: | Referiert |
