Towards the prediction of multi-year to decadal climate variability in the Southern Hemisphere

Autores
Power, Scott; Saurral, Ramiro Ignacio; Chung, Christine; Colman, Rob; Kharin, Viatcheslav; Boer, George; Gergis, Joelle; Henley, Benjamin; McGregor, Shayne; Arblaster, Julie; Holbrook, Neil; Liguori, Giovanni
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Multi-year (2-7 years) and decadal climate variability (MDCV) can have a profound influence on lives, livelihoods and economies. Consequently, learning more about the causes of this variability, the extent to whichit can be predicted, and the greater the clarity that we can provide on the climatic conditions that will unfold over coming years and decades is a high priority for the research community. This importance is reflected in new initiatives by WCRP, CLIVAR, and in the Decadal Climate Prediction Project (Boer et al., 2016) that target this area of research. Here we briefly examine some of the things we know, and have recently learnt, about the causes and predictability of Southern Hemisphere MDCV (SH MDCV), and current skill in its prediction.
Fil: Power, Scott. Bureau Of Meteorology; Australia
Fil: Saurral, Ramiro Ignacio. 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
Fil: Chung, Christine. Bureau Of Meteorology; Australia
Fil: Colman, Rob. Bureau Of Meteorology; Australia
Fil: Kharin, Viatcheslav. Environment And Climate Change Canada; Canadá
Fil: Boer, George. Environment And Climate Change Canada; Canadá
Fil: Gergis, Joelle. University of Melbourne; Australia
Fil: Henley, Benjamin. University of Melbourne; Australia
Fil: McGregor, Shayne. Monash University. Faculty Of Science; Australia
Fil: Arblaster, Julie. Monash University. Faculty Of Science; Australia
Fil: Holbrook, Neil. University of Tasmania; Australia
Fil: Liguori, Giovanni. Georgia Institute Of Technology; Estados Unidos
Materia
Southern Hemisphere
Decadal Variability
Predictability And Predictions
Climate
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/60523
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Towards the prediction of multi-year to decadal climate variability in the Southern HemispherePower, ScottSaurral, Ramiro IgnacioChung, ChristineColman, RobKharin, ViatcheslavBoer, GeorgeGergis, JoelleHenley, BenjaminMcGregor, ShayneArblaster, JulieHolbrook, NeilLiguori, GiovanniSouthern HemisphereDecadal VariabilityPredictability And PredictionsClimatehttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Multi-year (2-7 years) and decadal climate variability (MDCV) can have a profound influence on lives, livelihoods and economies. Consequently, learning more about the causes of this variability, the extent to whichit can be predicted, and the greater the clarity that we can provide on the climatic conditions that will unfold over coming years and decades is a high priority for the research community. This importance is reflected in new initiatives by WCRP, CLIVAR, and in the Decadal Climate Prediction Project (Boer et al., 2016) that target this area of research. Here we briefly examine some of the things we know, and have recently learnt, about the causes and predictability of Southern Hemisphere MDCV (SH MDCV), and current skill in its prediction.Fil: Power, Scott. Bureau Of Meteorology; AustraliaFil: Saurral, Ramiro Ignacio. 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; ArgentinaFil: Chung, Christine. Bureau Of Meteorology; AustraliaFil: Colman, Rob. Bureau Of Meteorology; AustraliaFil: Kharin, Viatcheslav. Environment And Climate Change Canada; CanadáFil: Boer, George. Environment And Climate Change Canada; CanadáFil: Gergis, Joelle. University of Melbourne; AustraliaFil: Henley, Benjamin. University of Melbourne; AustraliaFil: McGregor, Shayne. Monash University. Faculty Of Science; AustraliaFil: Arblaster, Julie. Monash University. Faculty Of Science; AustraliaFil: Holbrook, Neil. University of Tasmania; AustraliaFil: Liguori, Giovanni. Georgia Institute Of Technology; Estados UnidosCLIVAR2017-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/60523Power, Scott; Saurral, Ramiro Ignacio; Chung, Christine; Colman, Rob; Kharin, Viatcheslav; et al.; Towards the prediction of multi-year to decadal climate variability in the Southern Hemisphere; CLIVAR; Past Global Changes Magazine; 25; 1; 7-2017; 32-401026-0471CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.clivar.org/sites/default/files/documents/CE_72_Pmag_25%281%29_HighRes.pdfinfo:eu-repo/semantics/altIdentifier/doi/10.22498/pages.25.1.32info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:48:25Zoai:ri.conicet.gov.ar:11336/60523instacron: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:34982025-09-03 09:48:25.646CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Towards the prediction of multi-year to decadal climate variability in the Southern Hemisphere
title Towards the prediction of multi-year to decadal climate variability in the Southern Hemisphere
spellingShingle Towards the prediction of multi-year to decadal climate variability in the Southern Hemisphere
Power, Scott
Southern Hemisphere
Decadal Variability
Predictability And Predictions
Climate
title_short Towards the prediction of multi-year to decadal climate variability in the Southern Hemisphere
title_full Towards the prediction of multi-year to decadal climate variability in the Southern Hemisphere
title_fullStr Towards the prediction of multi-year to decadal climate variability in the Southern Hemisphere
title_full_unstemmed Towards the prediction of multi-year to decadal climate variability in the Southern Hemisphere
title_sort Towards the prediction of multi-year to decadal climate variability in the Southern Hemisphere
dc.creator.none.fl_str_mv Power, Scott
Saurral, Ramiro Ignacio
Chung, Christine
Colman, Rob
Kharin, Viatcheslav
Boer, George
Gergis, Joelle
Henley, Benjamin
McGregor, Shayne
Arblaster, Julie
Holbrook, Neil
Liguori, Giovanni
author Power, Scott
author_facet Power, Scott
Saurral, Ramiro Ignacio
Chung, Christine
Colman, Rob
Kharin, Viatcheslav
Boer, George
Gergis, Joelle
Henley, Benjamin
McGregor, Shayne
Arblaster, Julie
Holbrook, Neil
Liguori, Giovanni
author_role author
author2 Saurral, Ramiro Ignacio
Chung, Christine
Colman, Rob
Kharin, Viatcheslav
Boer, George
Gergis, Joelle
Henley, Benjamin
McGregor, Shayne
Arblaster, Julie
Holbrook, Neil
Liguori, Giovanni
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Southern Hemisphere
Decadal Variability
Predictability And Predictions
Climate
topic Southern Hemisphere
Decadal Variability
Predictability And Predictions
Climate
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Multi-year (2-7 years) and decadal climate variability (MDCV) can have a profound influence on lives, livelihoods and economies. Consequently, learning more about the causes of this variability, the extent to whichit can be predicted, and the greater the clarity that we can provide on the climatic conditions that will unfold over coming years and decades is a high priority for the research community. This importance is reflected in new initiatives by WCRP, CLIVAR, and in the Decadal Climate Prediction Project (Boer et al., 2016) that target this area of research. Here we briefly examine some of the things we know, and have recently learnt, about the causes and predictability of Southern Hemisphere MDCV (SH MDCV), and current skill in its prediction.
Fil: Power, Scott. Bureau Of Meteorology; Australia
Fil: Saurral, Ramiro Ignacio. 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
Fil: Chung, Christine. Bureau Of Meteorology; Australia
Fil: Colman, Rob. Bureau Of Meteorology; Australia
Fil: Kharin, Viatcheslav. Environment And Climate Change Canada; Canadá
Fil: Boer, George. Environment And Climate Change Canada; Canadá
Fil: Gergis, Joelle. University of Melbourne; Australia
Fil: Henley, Benjamin. University of Melbourne; Australia
Fil: McGregor, Shayne. Monash University. Faculty Of Science; Australia
Fil: Arblaster, Julie. Monash University. Faculty Of Science; Australia
Fil: Holbrook, Neil. University of Tasmania; Australia
Fil: Liguori, Giovanni. Georgia Institute Of Technology; Estados Unidos
description Multi-year (2-7 years) and decadal climate variability (MDCV) can have a profound influence on lives, livelihoods and economies. Consequently, learning more about the causes of this variability, the extent to whichit can be predicted, and the greater the clarity that we can provide on the climatic conditions that will unfold over coming years and decades is a high priority for the research community. This importance is reflected in new initiatives by WCRP, CLIVAR, and in the Decadal Climate Prediction Project (Boer et al., 2016) that target this area of research. Here we briefly examine some of the things we know, and have recently learnt, about the causes and predictability of Southern Hemisphere MDCV (SH MDCV), and current skill in its prediction.
publishDate 2017
dc.date.none.fl_str_mv 2017-07
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/11336/60523
Power, Scott; Saurral, Ramiro Ignacio; Chung, Christine; Colman, Rob; Kharin, Viatcheslav; et al.; Towards the prediction of multi-year to decadal climate variability in the Southern Hemisphere; CLIVAR; Past Global Changes Magazine; 25; 1; 7-2017; 32-40
1026-0471
CONICET Digital
CONICET
url http://hdl.handle.net/11336/60523
identifier_str_mv Power, Scott; Saurral, Ramiro Ignacio; Chung, Christine; Colman, Rob; Kharin, Viatcheslav; et al.; Towards the prediction of multi-year to decadal climate variability in the Southern Hemisphere; CLIVAR; Past Global Changes Magazine; 25; 1; 7-2017; 32-40
1026-0471
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.clivar.org/sites/default/files/documents/CE_72_Pmag_25%281%29_HighRes.pdf
info:eu-repo/semantics/altIdentifier/doi/10.22498/pages.25.1.32
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 CLIVAR
publisher.none.fl_str_mv CLIVAR
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
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score 13.13397

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