Temporal resolution of internal magnetic field modes from satellite data

Detalhes bibliográficos
Autor(a) principal: Domingos, João
Data de Publicação: 2019
Outros Autores: Pais, Maria Alexandra, Jault, Dominique, Mandea, Mioara
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/106876
https://doi.org/10.1186/s40623-018-0983-5
Resumo: We aim to obtain a modal decomposition of the internal geomagnetic field. In order to do so, we perform a principal component analysis of two virtual observatory datasets, with 4-month sampling time, from the CHAMP (2001–2009) and Swarm (2014–2017) satellite records. The spatial patterns of well-resolved modes calculated from the three field components all have internal origin as expected for these datasets, except for one Swarm mode. For both datasets, we find that the modes with the shortest timescales have also the smallest length scales as expected from a physical standpoint. Also, the energy ordering of the modes is from the least to the most variable, in agreement with independent results on the main field data spectrum. This is not achieved in regularised inversions of geomagnetic field data into time-varying spherical harmonic decomposition, where the highest degree terms have also the poorest time resolution. The improved accuracy of Swarm data is reflected in the lower level of the noise variance.
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spelling Temporal resolution of internal magnetic field modes from satellite dataGeomagnetic fieldVirtual observatoriesPrincipal component analysisSwarm constellationCHAMP satelliteWe aim to obtain a modal decomposition of the internal geomagnetic field. In order to do so, we perform a principal component analysis of two virtual observatory datasets, with 4-month sampling time, from the CHAMP (2001–2009) and Swarm (2014–2017) satellite records. The spatial patterns of well-resolved modes calculated from the three field components all have internal origin as expected for these datasets, except for one Swarm mode. For both datasets, we find that the modes with the shortest timescales have also the smallest length scales as expected from a physical standpoint. Also, the energy ordering of the modes is from the least to the most variable, in agreement with independent results on the main field data spectrum. This is not achieved in regularised inversions of geomagnetic field data into time-varying spherical harmonic decomposition, where the highest degree terms have also the poorest time resolution. The improved accuracy of Swarm data is reflected in the lower level of the noise variance.Springer Nature2019info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/106876http://hdl.handle.net/10316/106876https://doi.org/10.1186/s40623-018-0983-5eng1880-5981Domingos, JoãoPais, Maria AlexandraJault, DominiqueMandea, Mioarainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-04-28T09:27:09Zoai:estudogeral.uc.pt:10316/106876Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:23:16.676723Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Temporal resolution of internal magnetic field modes from satellite data
title Temporal resolution of internal magnetic field modes from satellite data
spellingShingle Temporal resolution of internal magnetic field modes from satellite data
Domingos, João
Geomagnetic field
Virtual observatories
Principal component analysis
Swarm constellation
CHAMP satellite
title_short Temporal resolution of internal magnetic field modes from satellite data
title_full Temporal resolution of internal magnetic field modes from satellite data
title_fullStr Temporal resolution of internal magnetic field modes from satellite data
title_full_unstemmed Temporal resolution of internal magnetic field modes from satellite data
title_sort Temporal resolution of internal magnetic field modes from satellite data
author Domingos, João
author_facet Domingos, João
Pais, Maria Alexandra
Jault, Dominique
Mandea, Mioara
author_role author
author2 Pais, Maria Alexandra
Jault, Dominique
Mandea, Mioara
author2_role author
author
author
dc.contributor.author.fl_str_mv Domingos, João
Pais, Maria Alexandra
Jault, Dominique
Mandea, Mioara
dc.subject.por.fl_str_mv Geomagnetic field
Virtual observatories
Principal component analysis
Swarm constellation
CHAMP satellite
topic Geomagnetic field
Virtual observatories
Principal component analysis
Swarm constellation
CHAMP satellite
description We aim to obtain a modal decomposition of the internal geomagnetic field. In order to do so, we perform a principal component analysis of two virtual observatory datasets, with 4-month sampling time, from the CHAMP (2001–2009) and Swarm (2014–2017) satellite records. The spatial patterns of well-resolved modes calculated from the three field components all have internal origin as expected for these datasets, except for one Swarm mode. For both datasets, we find that the modes with the shortest timescales have also the smallest length scales as expected from a physical standpoint. Also, the energy ordering of the modes is from the least to the most variable, in agreement with independent results on the main field data spectrum. This is not achieved in regularised inversions of geomagnetic field data into time-varying spherical harmonic decomposition, where the highest degree terms have also the poorest time resolution. The improved accuracy of Swarm data is reflected in the lower level of the noise variance.
publishDate 2019
dc.date.none.fl_str_mv 2019
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/106876
http://hdl.handle.net/10316/106876
https://doi.org/10.1186/s40623-018-0983-5
url http://hdl.handle.net/10316/106876
https://doi.org/10.1186/s40623-018-0983-5
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1880-5981
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Springer Nature
publisher.none.fl_str_mv Springer Nature
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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