The Kalmag model as a candidate for IGRF-13
- We present a new model of the geomagnetic field spanning the last 20 years and called Kalmag. Deriving from the assimilation of CHAMP and Swarm vector field measurements, it separates the different contributions to the observable field through parameterized prior covariance matrices. To make the inverse problem numerically feasible, it has been sequentialized in time through the combination of a Kalman filter and a smoothing algorithm. The model provides reliable estimates of past, present and future mean fields and associated uncertainties. The version presented here is an update of our IGRF candidates; the amount of assimilated data has been doubled and the considered time window has been extended from [2000.5, 2019.74] to [2000.5, 2020.33].
| Author details: | Julien BaerenzungORCiD, Matthias HolschneiderORCiDGND, Johannes WichtORCiD, Vincent LesurORCiD, Sabrina Sanchez |
|---|---|
| DOI: | https://doi.org/10.1186/s40623-020-01295-y |
| 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: | 2020/10/29 |
| Publication year: | 2020 |
| Release date: | 2023/10/16 |
| Tag: | Assimilation; Geomagnetic field; Kalman filter; Machine learning; Secular variation |
| Volume: | 72 |
| Issue: | 1 |
| Article number: | 163 |
| Number of pages: | 13 |
| Funding institution: | German Research Foundation (DFG)German Research Foundation (DFG); [SPP1788]; Projekt DEAL |
| 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 |
