Bootstrapping Swarm and observatory data to generate candidates for the DGRF and IGRF-13
As posted by the Working Group V of the International Association of Geomagnetism and Aeronomy (IAGA), the 13th generation of the International Geomagnetic Reference Field (IGRF) has been released at the end of 2019. Follow ing IAGA recommendations, in this work we present a candidate model for the...
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2020 |
| País: | España |
| Institución: | Universidad Complutense de Madrid (UCM) |
| Repositorio: | Docta Complutense |
| Idioma: | inglés |
| OAI Identifier: | oai:docta.ucm.es:20.500.14352/7592 |
| Acceso en línea: | https://hdl.handle.net/20.500.14352/7592 |
| Access Level: | acceso abierto |
| Palabra clave: | 52 Geomagnetic-field Física atmosférica 2501 Ciencias de la Atmósfera |
| Sumario: | As posted by the Working Group V of the International Association of Geomagnetism and Aeronomy (IAGA), the 13th generation of the International Geomagnetic Reference Field (IGRF) has been released at the end of 2019. Follow ing IAGA recommendations, in this work we present a candidate model for the IGRF-13, for which we have used the available Swarm satellite and geomagnetic observatory ground data for the last year. In order to provide the IGRF-13 candidate, we have extrapolated the Gauss coefcients of the main feld and its secular variation to January 1st, 2020. In addition, we have generated a Defnitive Geomagnetic Reference Field model for 2015.0 using the same model ling approach, but focussed on a 1-year time window of data centred on 2015.0. To jointly model both satellite and ground data, we have followed the classical protocols and data flters applied in geomagnetic feld modelling. Novelty arrives from the application of bootstrap analysis to solve issues related to the inhomogeneity of the spatial and temporal data distributions. This new approach allows the estimation of not only the Gauss coefcients, but also their uncertainties. |
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