Discrete wavelet analysis to assess long-term trends in geomagnetic activity
- Autores
- Zossi Artigas, Marta Maria; Elias, Ana Georgina; Fernandez, Patricia Mónica
- Año de publicación
- 2006
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- To assess long-term trends in geomagnetic activity, the discrete wavelet transform using the Daubechies function was applied to aa and Dst for periods 1868–2003 and 1957–2003 respectively.Among a variety of techniques available for analysing trends, wavelet analysis has emerged in the last decade as a useful statistical tool for this purpose. The wavelet order and border conditions of the transform were selected minimizing the mean relative error. A sequence of alternating trends is obtained in the case of aa, with the greatest minima around 1880 and 1905 followed by 1965 and 2000. Maximum values occur around 1890, 1955 and 1990. Dst index shows the last two minima and the maximum around 1990. Long term trends in solar wind velocity, density and pressure, IMF magnitude B, southward component Bz, sunspot number Rz and the coronal index were also analysed in order to identify possible causes for the observed long-term variation in geomagnetic activity. They all qualitatively agree with aa and Dst behavior pointing out a solar origin.ior pointing out a solar origin.
Fil: Zossi Artigas, Marta Maria. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; Argentina
Fil: Elias, Ana Georgina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología; Argentina
Fil: Fernandez, Patricia Mónica. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología; Argentina - Materia
-
Geomagnetic Activity
Wavelet Analysis
Long Term Trend
Solar Wind - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/83989
Ver los metadatos del registro completo
id |
CONICETDig_28603bfe0e7c2c78d9ca3e50fd9a9e1b |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/83989 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
Discrete wavelet analysis to assess long-term trends in geomagnetic activityZossi Artigas, Marta MariaElias, Ana GeorginaFernandez, Patricia MónicaGeomagnetic ActivityWavelet AnalysisLong Term TrendSolar Windhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1To assess long-term trends in geomagnetic activity, the discrete wavelet transform using the Daubechies function was applied to aa and Dst for periods 1868–2003 and 1957–2003 respectively.Among a variety of techniques available for analysing trends, wavelet analysis has emerged in the last decade as a useful statistical tool for this purpose. The wavelet order and border conditions of the transform were selected minimizing the mean relative error. A sequence of alternating trends is obtained in the case of aa, with the greatest minima around 1880 and 1905 followed by 1965 and 2000. Maximum values occur around 1890, 1955 and 1990. Dst index shows the last two minima and the maximum around 1990. Long term trends in solar wind velocity, density and pressure, IMF magnitude B, southward component Bz, sunspot number Rz and the coronal index were also analysed in order to identify possible causes for the observed long-term variation in geomagnetic activity. They all qualitatively agree with aa and Dst behavior pointing out a solar origin.ior pointing out a solar origin.Fil: Zossi Artigas, Marta Maria. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; ArgentinaFil: Elias, Ana Georgina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología; ArgentinaFil: Fernandez, Patricia Mónica. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología; ArgentinaElsevier Ltd.2006-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/83989Zossi Artigas, Marta Maria; Elias, Ana Georgina; Fernandez, Patricia Mónica; Discrete wavelet analysis to assess long-term trends in geomagnetic activity; Elsevier Ltd.; Physics and Chemistry of the Earth; 31; 1-3; 12-2006; 77-801474-7065CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.pce.2005.03.009info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S147470650600012X?via%3Dihubinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:33:10Zoai:ri.conicet.gov.ar:11336/83989instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:33:10.994CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Discrete wavelet analysis to assess long-term trends in geomagnetic activity |
title |
Discrete wavelet analysis to assess long-term trends in geomagnetic activity |
spellingShingle |
Discrete wavelet analysis to assess long-term trends in geomagnetic activity Zossi Artigas, Marta Maria Geomagnetic Activity Wavelet Analysis Long Term Trend Solar Wind |
title_short |
Discrete wavelet analysis to assess long-term trends in geomagnetic activity |
title_full |
Discrete wavelet analysis to assess long-term trends in geomagnetic activity |
title_fullStr |
Discrete wavelet analysis to assess long-term trends in geomagnetic activity |
title_full_unstemmed |
Discrete wavelet analysis to assess long-term trends in geomagnetic activity |
title_sort |
Discrete wavelet analysis to assess long-term trends in geomagnetic activity |
dc.creator.none.fl_str_mv |
Zossi Artigas, Marta Maria Elias, Ana Georgina Fernandez, Patricia Mónica |
author |
Zossi Artigas, Marta Maria |
author_facet |
Zossi Artigas, Marta Maria Elias, Ana Georgina Fernandez, Patricia Mónica |
author_role |
author |
author2 |
Elias, Ana Georgina Fernandez, Patricia Mónica |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Geomagnetic Activity Wavelet Analysis Long Term Trend Solar Wind |
topic |
Geomagnetic Activity Wavelet Analysis Long Term Trend Solar Wind |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
To assess long-term trends in geomagnetic activity, the discrete wavelet transform using the Daubechies function was applied to aa and Dst for periods 1868–2003 and 1957–2003 respectively.Among a variety of techniques available for analysing trends, wavelet analysis has emerged in the last decade as a useful statistical tool for this purpose. The wavelet order and border conditions of the transform were selected minimizing the mean relative error. A sequence of alternating trends is obtained in the case of aa, with the greatest minima around 1880 and 1905 followed by 1965 and 2000. Maximum values occur around 1890, 1955 and 1990. Dst index shows the last two minima and the maximum around 1990. Long term trends in solar wind velocity, density and pressure, IMF magnitude B, southward component Bz, sunspot number Rz and the coronal index were also analysed in order to identify possible causes for the observed long-term variation in geomagnetic activity. They all qualitatively agree with aa and Dst behavior pointing out a solar origin.ior pointing out a solar origin. Fil: Zossi Artigas, Marta Maria. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; Argentina Fil: Elias, Ana Georgina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología; Argentina Fil: Fernandez, Patricia Mónica. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología; Argentina |
description |
To assess long-term trends in geomagnetic activity, the discrete wavelet transform using the Daubechies function was applied to aa and Dst for periods 1868–2003 and 1957–2003 respectively.Among a variety of techniques available for analysing trends, wavelet analysis has emerged in the last decade as a useful statistical tool for this purpose. The wavelet order and border conditions of the transform were selected minimizing the mean relative error. A sequence of alternating trends is obtained in the case of aa, with the greatest minima around 1880 and 1905 followed by 1965 and 2000. Maximum values occur around 1890, 1955 and 1990. Dst index shows the last two minima and the maximum around 1990. Long term trends in solar wind velocity, density and pressure, IMF magnitude B, southward component Bz, sunspot number Rz and the coronal index were also analysed in order to identify possible causes for the observed long-term variation in geomagnetic activity. They all qualitatively agree with aa and Dst behavior pointing out a solar origin.ior pointing out a solar origin. |
publishDate |
2006 |
dc.date.none.fl_str_mv |
2006-12 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/83989 Zossi Artigas, Marta Maria; Elias, Ana Georgina; Fernandez, Patricia Mónica; Discrete wavelet analysis to assess long-term trends in geomagnetic activity; Elsevier Ltd.; Physics and Chemistry of the Earth; 31; 1-3; 12-2006; 77-80 1474-7065 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/83989 |
identifier_str_mv |
Zossi Artigas, Marta Maria; Elias, Ana Georgina; Fernandez, Patricia Mónica; Discrete wavelet analysis to assess long-term trends in geomagnetic activity; Elsevier Ltd.; Physics and Chemistry of the Earth; 31; 1-3; 12-2006; 77-80 1474-7065 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.pce.2005.03.009 info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S147470650600012X?via%3Dihub |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier Ltd. |
publisher.none.fl_str_mv |
Elsevier Ltd. |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
_version_ |
1846781945585860608 |
score |
12.982451 |