Seasonal cycle of precipitation variability in South America on intraseasonal timescales
- Autores
- Vera, Carolina Susana; Alvarez, Mariano Sebastián; Gonzalez, Paula Leticia Manuela; Liebmann, Brant; Kiladis, George N.
- Año de publicación
- 2018
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The seasonal cycle of the intraseasonal (IS) variability of precipitation in South America is described through the analysis of bandpass filtered outgoing longwave radiation (OLR) anomalies. The analysis is discriminated between short (10–30 days) and long (30–90 days) intraseasonal timescales. The seasonal cycle of the 30–90-day IS variability can be well described by the activity of first leading pattern (EOF1) computed separately for the wet season (October–April) and the dry season (May–September). In agreement with previous works, the EOF1 spatial distribution during the wet season is that of a dipole with centers of actions in the South Atlantic Convergence Zone (SACZ) and southeastern South America (SESA), while during the dry season, only the last center is discernible. In both seasons, the pattern is highly influenced by the activity of the Madden–Julian Oscillation (MJO). Moreover, EOF1 is related with a tropical zonal-wavenumber-1 structure superposed with coherent wave trains extended along the South Pacific during the wet season, while during the dry season the wavenumber-1 structure is not observed. The 10–30-day IS variability of OLR in South America can be well represented by the activity of the EOF1 computed through considering all seasons together, a dipole but with the stronger center located over SESA. While the convection activity at the tropical band does not seem to influence its activity, there are evidences that the atmospheric variability at subtropical-extratropical regions might have a role. Subpolar wavetrains are observed in the Pacific throughout the year and less intense during DJF, while a path of wave energy dispersion along a subtropical wavetrain also characterizes the other seasons. Further work is needed to identify the sources of the 10–30-day-IS variability in South America.
Fil: Vera, Carolina Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina
Fil: Alvarez, Mariano Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina
Fil: Gonzalez, Paula Leticia Manuela. University of Reading; Reino Unido
Fil: Liebmann, Brant. University of Colorado; Estados Unidos. NOAA Earth System Research Laboratory; Estados Unidos
Fil: Kiladis, George N.. NOAA Earth System Research Laboratory; Estados Unidos - Materia
-
Olr
Sacz
Subseasonal
Teleconnections - 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:11336/58902
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Seasonal cycle of precipitation variability in South America on intraseasonal timescalesVera, Carolina SusanaAlvarez, Mariano SebastiánGonzalez, Paula Leticia ManuelaLiebmann, BrantKiladis, George N.OlrSaczSubseasonalTeleconnectionshttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1The seasonal cycle of the intraseasonal (IS) variability of precipitation in South America is described through the analysis of bandpass filtered outgoing longwave radiation (OLR) anomalies. The analysis is discriminated between short (10–30 days) and long (30–90 days) intraseasonal timescales. The seasonal cycle of the 30–90-day IS variability can be well described by the activity of first leading pattern (EOF1) computed separately for the wet season (October–April) and the dry season (May–September). In agreement with previous works, the EOF1 spatial distribution during the wet season is that of a dipole with centers of actions in the South Atlantic Convergence Zone (SACZ) and southeastern South America (SESA), while during the dry season, only the last center is discernible. In both seasons, the pattern is highly influenced by the activity of the Madden–Julian Oscillation (MJO). Moreover, EOF1 is related with a tropical zonal-wavenumber-1 structure superposed with coherent wave trains extended along the South Pacific during the wet season, while during the dry season the wavenumber-1 structure is not observed. The 10–30-day IS variability of OLR in South America can be well represented by the activity of the EOF1 computed through considering all seasons together, a dipole but with the stronger center located over SESA. While the convection activity at the tropical band does not seem to influence its activity, there are evidences that the atmospheric variability at subtropical-extratropical regions might have a role. Subpolar wavetrains are observed in the Pacific throughout the year and less intense during DJF, while a path of wave energy dispersion along a subtropical wavetrain also characterizes the other seasons. Further work is needed to identify the sources of the 10–30-day-IS variability in South America.Fil: Vera, Carolina Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; ArgentinaFil: Alvarez, Mariano Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; ArgentinaFil: Gonzalez, Paula Leticia Manuela. University of Reading; Reino UnidoFil: Liebmann, Brant. University of Colorado; Estados Unidos. NOAA Earth System Research Laboratory; Estados UnidosFil: Kiladis, George N.. NOAA Earth System Research Laboratory; Estados UnidosSpringer2018-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/58902Vera, Carolina Susana; Alvarez, Mariano Sebastián; Gonzalez, Paula Leticia Manuela; Liebmann, Brant; Kiladis, George N.; Seasonal cycle of precipitation variability in South America on intraseasonal timescales; Springer; Climate Dynamics; 51; 5-6; 9-2018; 1991-20010930-7575CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1007/s00382-017-3994-1info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s00382-017-3994-1info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:37:55Zoai:ri.conicet.gov.ar:11336/58902instacron: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:34982025-10-15 14:37:55.731CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Seasonal cycle of precipitation variability in South America on intraseasonal timescales |
title |
Seasonal cycle of precipitation variability in South America on intraseasonal timescales |
spellingShingle |
Seasonal cycle of precipitation variability in South America on intraseasonal timescales Vera, Carolina Susana Olr Sacz Subseasonal Teleconnections |
title_short |
Seasonal cycle of precipitation variability in South America on intraseasonal timescales |
title_full |
Seasonal cycle of precipitation variability in South America on intraseasonal timescales |
title_fullStr |
Seasonal cycle of precipitation variability in South America on intraseasonal timescales |
title_full_unstemmed |
Seasonal cycle of precipitation variability in South America on intraseasonal timescales |
title_sort |
Seasonal cycle of precipitation variability in South America on intraseasonal timescales |
dc.creator.none.fl_str_mv |
Vera, Carolina Susana Alvarez, Mariano Sebastián Gonzalez, Paula Leticia Manuela Liebmann, Brant Kiladis, George N. |
author |
Vera, Carolina Susana |
author_facet |
Vera, Carolina Susana Alvarez, Mariano Sebastián Gonzalez, Paula Leticia Manuela Liebmann, Brant Kiladis, George N. |
author_role |
author |
author2 |
Alvarez, Mariano Sebastián Gonzalez, Paula Leticia Manuela Liebmann, Brant Kiladis, George N. |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
Olr Sacz Subseasonal Teleconnections |
topic |
Olr Sacz Subseasonal Teleconnections |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
The seasonal cycle of the intraseasonal (IS) variability of precipitation in South America is described through the analysis of bandpass filtered outgoing longwave radiation (OLR) anomalies. The analysis is discriminated between short (10–30 days) and long (30–90 days) intraseasonal timescales. The seasonal cycle of the 30–90-day IS variability can be well described by the activity of first leading pattern (EOF1) computed separately for the wet season (October–April) and the dry season (May–September). In agreement with previous works, the EOF1 spatial distribution during the wet season is that of a dipole with centers of actions in the South Atlantic Convergence Zone (SACZ) and southeastern South America (SESA), while during the dry season, only the last center is discernible. In both seasons, the pattern is highly influenced by the activity of the Madden–Julian Oscillation (MJO). Moreover, EOF1 is related with a tropical zonal-wavenumber-1 structure superposed with coherent wave trains extended along the South Pacific during the wet season, while during the dry season the wavenumber-1 structure is not observed. The 10–30-day IS variability of OLR in South America can be well represented by the activity of the EOF1 computed through considering all seasons together, a dipole but with the stronger center located over SESA. While the convection activity at the tropical band does not seem to influence its activity, there are evidences that the atmospheric variability at subtropical-extratropical regions might have a role. Subpolar wavetrains are observed in the Pacific throughout the year and less intense during DJF, while a path of wave energy dispersion along a subtropical wavetrain also characterizes the other seasons. Further work is needed to identify the sources of the 10–30-day-IS variability in South America. Fil: Vera, Carolina Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina Fil: Alvarez, Mariano Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina Fil: Gonzalez, Paula Leticia Manuela. University of Reading; Reino Unido Fil: Liebmann, Brant. University of Colorado; Estados Unidos. NOAA Earth System Research Laboratory; Estados Unidos Fil: Kiladis, George N.. NOAA Earth System Research Laboratory; Estados Unidos |
description |
The seasonal cycle of the intraseasonal (IS) variability of precipitation in South America is described through the analysis of bandpass filtered outgoing longwave radiation (OLR) anomalies. The analysis is discriminated between short (10–30 days) and long (30–90 days) intraseasonal timescales. The seasonal cycle of the 30–90-day IS variability can be well described by the activity of first leading pattern (EOF1) computed separately for the wet season (October–April) and the dry season (May–September). In agreement with previous works, the EOF1 spatial distribution during the wet season is that of a dipole with centers of actions in the South Atlantic Convergence Zone (SACZ) and southeastern South America (SESA), while during the dry season, only the last center is discernible. In both seasons, the pattern is highly influenced by the activity of the Madden–Julian Oscillation (MJO). Moreover, EOF1 is related with a tropical zonal-wavenumber-1 structure superposed with coherent wave trains extended along the South Pacific during the wet season, while during the dry season the wavenumber-1 structure is not observed. The 10–30-day IS variability of OLR in South America can be well represented by the activity of the EOF1 computed through considering all seasons together, a dipole but with the stronger center located over SESA. While the convection activity at the tropical band does not seem to influence its activity, there are evidences that the atmospheric variability at subtropical-extratropical regions might have a role. Subpolar wavetrains are observed in the Pacific throughout the year and less intense during DJF, while a path of wave energy dispersion along a subtropical wavetrain also characterizes the other seasons. Further work is needed to identify the sources of the 10–30-day-IS variability in South America. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-09 |
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/11336/58902 Vera, Carolina Susana; Alvarez, Mariano Sebastián; Gonzalez, Paula Leticia Manuela; Liebmann, Brant; Kiladis, George N.; Seasonal cycle of precipitation variability in South America on intraseasonal timescales; Springer; Climate Dynamics; 51; 5-6; 9-2018; 1991-2001 0930-7575 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/58902 |
identifier_str_mv |
Vera, Carolina Susana; Alvarez, Mariano Sebastián; Gonzalez, Paula Leticia Manuela; Liebmann, Brant; Kiladis, George N.; Seasonal cycle of precipitation variability in South America on intraseasonal timescales; Springer; Climate Dynamics; 51; 5-6; 9-2018; 1991-2001 0930-7575 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1007/s00382-017-3994-1 info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s00382-017-3994-1 |
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 |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
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) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1846082855533281280 |
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13.22299 |