Teleconnection stationarity, variability and trends of the Southern Annular Mode (SAM) during the last millennium
- Autores
- Dätwyler, Christoph; Neukom, Raphael; Abram, Nerilie J.; Gallant, Ailie J. E.; Grosjean, Martin; Jacques-Coper, Martín; Karoly, David J.; Villalba, Ricardo
- Año de publicación
- 2017
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The Southern Annular Mode (SAM) is the leading mode of atmospheric interannual variability in the Southern Hemisphere (SH) extra-tropics. Here, we assess the stationarity of SAM spatial correlations with instrumental and paleoclimate proxy data for the past millennium. The instrumental period shows that temporal non-stationarities in SAM teleconnections are not consistent across the SH land areas. This suggests that the influence of the SAM index is modulated by regional effects. However, within key-regions with good proxy data coverage (South America, Tasmania, New Zealand), teleconnections are mostly stationary over the instrumental period. Using different stationarity criteria for proxy record selection, we provide new austral summer and annual mean SAM index reconstructions over the last millennium. Our summer SAM reconstructions are very robust to changes in proxy record selection and the selection of the calibration period, particularly on the multi-decadal timescale. In contrast, the weaker performance and lower agreement in the annual mean SAM reconstructions point towards changing teleconnection patterns that may be particularly important outside the summer months. Our results clearly portend that the temporal stationarity of the proxy-climate relationships should be taken into account in the design of comprehensive regional and hemispherical climate reconstructions. The summer SAM reconstructions show no significant relationship to solar, greenhouse gas and volcanic forcing, with the exception of an extremely strong negative anomaly following the AD 1257 Samalas eruption. Furthermore, reconstructed pre-industrial summer SAM trends are very similar to trends obtained by model control simulations. We find that recent trends in the summer SAM lie outside the 5–95% range of pre-industrial natural variability.
Fil: Dätwyler, Christoph. University of Bern. Centre for Climate Change Research. Institute of Geography and Oeschger ; Suiza
Fil: Neukom, Raphael. University of Bern. Centre for Climate Change Research. Institute of Geography and Oeschger ; Suiza
Fil: Abram, Nerilie J.. Australian National University; Australia
Fil: Gallant, Ailie J. E.. Monash University; Australia
Fil: Grosjean, Martin. University of Bern. Centre for Climate Change Research. Institute of Geography and Oeschger ; Suiza
Fil: Jacques-Coper, Martín. Universidad de Concepción; Chile
Fil: Karoly, David J.. University of Melbourne; Australia
Fil: Villalba, Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales; Argentina - Materia
-
Climate Change
Climate Reconstruction
Holocene
Paleoclimate
Southern Hemisphere - 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:11336/57464
Ver los metadatos del registro completo
id |
CONICETDig_0afc55127c12d02188584192958e5db4 |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/57464 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
Teleconnection stationarity, variability and trends of the Southern Annular Mode (SAM) during the last millenniumDätwyler, ChristophNeukom, RaphaelAbram, Nerilie J.Gallant, Ailie J. E.Grosjean, MartinJacques-Coper, MartínKaroly, David J.Villalba, RicardoClimate ChangeClimate ReconstructionHolocenePaleoclimateSouthern Hemispherehttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1The Southern Annular Mode (SAM) is the leading mode of atmospheric interannual variability in the Southern Hemisphere (SH) extra-tropics. Here, we assess the stationarity of SAM spatial correlations with instrumental and paleoclimate proxy data for the past millennium. The instrumental period shows that temporal non-stationarities in SAM teleconnections are not consistent across the SH land areas. This suggests that the influence of the SAM index is modulated by regional effects. However, within key-regions with good proxy data coverage (South America, Tasmania, New Zealand), teleconnections are mostly stationary over the instrumental period. Using different stationarity criteria for proxy record selection, we provide new austral summer and annual mean SAM index reconstructions over the last millennium. Our summer SAM reconstructions are very robust to changes in proxy record selection and the selection of the calibration period, particularly on the multi-decadal timescale. In contrast, the weaker performance and lower agreement in the annual mean SAM reconstructions point towards changing teleconnection patterns that may be particularly important outside the summer months. Our results clearly portend that the temporal stationarity of the proxy-climate relationships should be taken into account in the design of comprehensive regional and hemispherical climate reconstructions. The summer SAM reconstructions show no significant relationship to solar, greenhouse gas and volcanic forcing, with the exception of an extremely strong negative anomaly following the AD 1257 Samalas eruption. Furthermore, reconstructed pre-industrial summer SAM trends are very similar to trends obtained by model control simulations. We find that recent trends in the summer SAM lie outside the 5–95% range of pre-industrial natural variability.Fil: Dätwyler, Christoph. University of Bern. Centre for Climate Change Research. Institute of Geography and Oeschger ; SuizaFil: Neukom, Raphael. University of Bern. Centre for Climate Change Research. Institute of Geography and Oeschger ; SuizaFil: Abram, Nerilie J.. Australian National University; AustraliaFil: Gallant, Ailie J. E.. Monash University; AustraliaFil: Grosjean, Martin. University of Bern. Centre for Climate Change Research. Institute of Geography and Oeschger ; SuizaFil: Jacques-Coper, Martín. Universidad de Concepción; ChileFil: Karoly, David J.. University of Melbourne; AustraliaFil: Villalba, Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales; ArgentinaSpringer2017-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/57464Dätwyler, Christoph; Neukom, Raphael; Abram, Nerilie J.; Gallant, Ailie J. E.; Grosjean, Martin; et al.; Teleconnection stationarity, variability and trends of the Southern Annular Mode (SAM) during the last millennium; Springer; Climate Dynamics; 51; 5-6; 11-2017; 2321-23390930-7575CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://link.springer.com/10.1007/s00382-017-4015-0info:eu-repo/semantics/altIdentifier/doi/10.1007/s00382-017-4015-0info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:10:14Zoai:ri.conicet.gov.ar:11336/57464instacron: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 10:10:16.138CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Teleconnection stationarity, variability and trends of the Southern Annular Mode (SAM) during the last millennium |
title |
Teleconnection stationarity, variability and trends of the Southern Annular Mode (SAM) during the last millennium |
spellingShingle |
Teleconnection stationarity, variability and trends of the Southern Annular Mode (SAM) during the last millennium Dätwyler, Christoph Climate Change Climate Reconstruction Holocene Paleoclimate Southern Hemisphere |
title_short |
Teleconnection stationarity, variability and trends of the Southern Annular Mode (SAM) during the last millennium |
title_full |
Teleconnection stationarity, variability and trends of the Southern Annular Mode (SAM) during the last millennium |
title_fullStr |
Teleconnection stationarity, variability and trends of the Southern Annular Mode (SAM) during the last millennium |
title_full_unstemmed |
Teleconnection stationarity, variability and trends of the Southern Annular Mode (SAM) during the last millennium |
title_sort |
Teleconnection stationarity, variability and trends of the Southern Annular Mode (SAM) during the last millennium |
dc.creator.none.fl_str_mv |
Dätwyler, Christoph Neukom, Raphael Abram, Nerilie J. Gallant, Ailie J. E. Grosjean, Martin Jacques-Coper, Martín Karoly, David J. Villalba, Ricardo |
author |
Dätwyler, Christoph |
author_facet |
Dätwyler, Christoph Neukom, Raphael Abram, Nerilie J. Gallant, Ailie J. E. Grosjean, Martin Jacques-Coper, Martín Karoly, David J. Villalba, Ricardo |
author_role |
author |
author2 |
Neukom, Raphael Abram, Nerilie J. Gallant, Ailie J. E. Grosjean, Martin Jacques-Coper, Martín Karoly, David J. Villalba, Ricardo |
author2_role |
author author author author author author author |
dc.subject.none.fl_str_mv |
Climate Change Climate Reconstruction Holocene Paleoclimate Southern Hemisphere |
topic |
Climate Change Climate Reconstruction Holocene Paleoclimate Southern Hemisphere |
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 Southern Annular Mode (SAM) is the leading mode of atmospheric interannual variability in the Southern Hemisphere (SH) extra-tropics. Here, we assess the stationarity of SAM spatial correlations with instrumental and paleoclimate proxy data for the past millennium. The instrumental period shows that temporal non-stationarities in SAM teleconnections are not consistent across the SH land areas. This suggests that the influence of the SAM index is modulated by regional effects. However, within key-regions with good proxy data coverage (South America, Tasmania, New Zealand), teleconnections are mostly stationary over the instrumental period. Using different stationarity criteria for proxy record selection, we provide new austral summer and annual mean SAM index reconstructions over the last millennium. Our summer SAM reconstructions are very robust to changes in proxy record selection and the selection of the calibration period, particularly on the multi-decadal timescale. In contrast, the weaker performance and lower agreement in the annual mean SAM reconstructions point towards changing teleconnection patterns that may be particularly important outside the summer months. Our results clearly portend that the temporal stationarity of the proxy-climate relationships should be taken into account in the design of comprehensive regional and hemispherical climate reconstructions. The summer SAM reconstructions show no significant relationship to solar, greenhouse gas and volcanic forcing, with the exception of an extremely strong negative anomaly following the AD 1257 Samalas eruption. Furthermore, reconstructed pre-industrial summer SAM trends are very similar to trends obtained by model control simulations. We find that recent trends in the summer SAM lie outside the 5–95% range of pre-industrial natural variability. Fil: Dätwyler, Christoph. University of Bern. Centre for Climate Change Research. Institute of Geography and Oeschger ; Suiza Fil: Neukom, Raphael. University of Bern. Centre for Climate Change Research. Institute of Geography and Oeschger ; Suiza Fil: Abram, Nerilie J.. Australian National University; Australia Fil: Gallant, Ailie J. E.. Monash University; Australia Fil: Grosjean, Martin. University of Bern. Centre for Climate Change Research. Institute of Geography and Oeschger ; Suiza Fil: Jacques-Coper, Martín. Universidad de Concepción; Chile Fil: Karoly, David J.. University of Melbourne; Australia Fil: Villalba, Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales; Argentina |
description |
The Southern Annular Mode (SAM) is the leading mode of atmospheric interannual variability in the Southern Hemisphere (SH) extra-tropics. Here, we assess the stationarity of SAM spatial correlations with instrumental and paleoclimate proxy data for the past millennium. The instrumental period shows that temporal non-stationarities in SAM teleconnections are not consistent across the SH land areas. This suggests that the influence of the SAM index is modulated by regional effects. However, within key-regions with good proxy data coverage (South America, Tasmania, New Zealand), teleconnections are mostly stationary over the instrumental period. Using different stationarity criteria for proxy record selection, we provide new austral summer and annual mean SAM index reconstructions over the last millennium. Our summer SAM reconstructions are very robust to changes in proxy record selection and the selection of the calibration period, particularly on the multi-decadal timescale. In contrast, the weaker performance and lower agreement in the annual mean SAM reconstructions point towards changing teleconnection patterns that may be particularly important outside the summer months. Our results clearly portend that the temporal stationarity of the proxy-climate relationships should be taken into account in the design of comprehensive regional and hemispherical climate reconstructions. The summer SAM reconstructions show no significant relationship to solar, greenhouse gas and volcanic forcing, with the exception of an extremely strong negative anomaly following the AD 1257 Samalas eruption. Furthermore, reconstructed pre-industrial summer SAM trends are very similar to trends obtained by model control simulations. We find that recent trends in the summer SAM lie outside the 5–95% range of pre-industrial natural variability. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-11 |
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/11336/57464 Dätwyler, Christoph; Neukom, Raphael; Abram, Nerilie J.; Gallant, Ailie J. E.; Grosjean, Martin; et al.; Teleconnection stationarity, variability and trends of the Southern Annular Mode (SAM) during the last millennium; Springer; Climate Dynamics; 51; 5-6; 11-2017; 2321-2339 0930-7575 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/57464 |
identifier_str_mv |
Dätwyler, Christoph; Neukom, Raphael; Abram, Nerilie J.; Gallant, Ailie J. E.; Grosjean, Martin; et al.; Teleconnection stationarity, variability and trends of the Southern Annular Mode (SAM) during the last millennium; Springer; Climate Dynamics; 51; 5-6; 11-2017; 2321-2339 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/url/http://link.springer.com/10.1007/s00382-017-4015-0 info:eu-repo/semantics/altIdentifier/doi/10.1007/s00382-017-4015-0 |
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) |
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_ |
1842270111938904064 |
score |
13.13397 |