Sequential modelling of the Earth’s core magnetic field
- We describe a new, original approach to the modelling of the Earth's magnetic field. The overall objective of this study is to reliably render fast variations of the core field and its secular variation. This method combines a sequential modelling approach, a Kalman filter, and a correlation-based modelling step. Sources that most significantly contribute to the field measured at the surface of the Earth are modelled. Their separation is based on strong prior information on their spatial and temporal behaviours. We obtain a time series of model distributions which display behaviours similar to those of recent models based on more classic approaches, particularly at large temporal and spatial scales. Interesting new features and periodicities are visible in our models at smaller time and spatial scales. An important aspect of our method is to yield reliable error bars for all model parameters. These errors, however, are only as reliable as the description of the different sources and the prior information used are realistic. Finally,We describe a new, original approach to the modelling of the Earth's magnetic field. The overall objective of this study is to reliably render fast variations of the core field and its secular variation. This method combines a sequential modelling approach, a Kalman filter, and a correlation-based modelling step. Sources that most significantly contribute to the field measured at the surface of the Earth are modelled. Their separation is based on strong prior information on their spatial and temporal behaviours. We obtain a time series of model distributions which display behaviours similar to those of recent models based on more classic approaches, particularly at large temporal and spatial scales. Interesting new features and periodicities are visible in our models at smaller time and spatial scales. An important aspect of our method is to yield reliable error bars for all model parameters. These errors, however, are only as reliable as the description of the different sources and the prior information used are realistic. Finally, we used a slightly different version of our method to produce candidate models for the thirteenth edition of the International Geomagnetic Reference Field.…
Author details: | Guillaume RoppORCiD, Vincent LesurORCiD, Julien BärenzungORCiD, Matthias HolschneiderORCiDGND |
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DOI: | https://doi.org/10.1186/s40623-020-01230-1 |
ISSN: | 1880-5981 |
Title of parent work (English): | Earth, Planets and Space |
Publisher: | Springer |
Place of publishing: | New York |
Publication type: | Article |
Language: | English |
Date of first publication: | 2020/10/21 |
Publication year: | 2020 |
Release date: | 2023/11/21 |
Tag: | IGRF; Kalman filter; geomagnetic field; secular variation |
Volume: | 72 |
Issue: | 1 |
Article number: | 153 |
Number of pages: | 15 |
Funding institution: | transnational E-RARE grant `CCMCURE (DFG)European Commission [SFB958]; E-RARE [ERL 138397]; Canadian; Institutes for Health ResearchCanadian Institutes of Health Research; (CIHR) [PJT 153000]; the E-RARE grant `CCMCURE |
Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Mathematik |
DDC classification: | 5 Naturwissenschaften und Mathematik / 51 Mathematik / 510 Mathematik |
Peer review: | Referiert |
Publishing method: | Open Access / Gold Open-Access |
DOAJ gelistet | |
License (German): | CC-BY - Namensnennung 4.0 International |