Reconstructing glacier mass balances in the Central Andes of Chile and Argentina using local and regional hydro-climatic data

Autores
Masiokas, Mariano Hugo; Christie, D. A.; Le Quesne, C.; Pitte, Pedro Miguel; Ruiz, Lucas Ernesto; Villalba, Ricardo; Luckman, B. H.; Berthier, E.; Nussbaumer, S. U.; González Reyes, A.; McPhee, J.; Barcaza, G.
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Despite the great number and variety of glaciers in southern South America, in situ glacier mass balance records are extremely scarce and glacier climate relationships are still poorly understood in this region. Here we use the longest (> 35 years) and most complete in situ mass balance record, available for glaciar Echaurren Norte in the Andes at ~34° S, to develop a minimal glacier surface mass balance model that relies on nearby monthly precipitation and air temperature data as forcing. This basic model is able to explain 78 % of the variance in the annual glacier mass balance record over the 1978?2013 calibration period. An attribution assessment indicates that precipitation variability constitutes the most important forcing modulating annual glacier mass balances at this site. A regionally-averaged series of mean annual streamflow records from both sides of the Andes is then used to estimate, through simple linear regression, this glacier´s annual mass balance variations since 1909. The reconstruction model captures 68 % of the observed glacier mass balance variability and shows three periods of sustained positive mass balances embedded in an overall negative trend totaling almost −42 m w.eq. over the past 105 years. The three periods of sustained positive mass balances (centered in the 1920s?1930s, in the 1980s and in the first decade of the 21st century) coincide with several documented glacier advances in this region. Similar trends observed in other shorter glacier mass balance series suggest the glaciar Echaurren Norte reconstruction is representative of larger-scale conditions and could be useful for more detailed glaciological, hydrological and climatological assessments in this portion of the Andes.
Fil: Masiokas, Mariano Hugo. 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
Fil: Christie, D. A.. Universidad Austral de Chile; Chile. Center for Climate and Resilience Research; Chile
Fil: Le Quesne, C.. Universidad Austral de Chile; Chile
Fil: Pitte, Pedro Miguel. 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
Fil: Ruiz, Lucas Ernesto. 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
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
Fil: Luckman, B. H.. University of Western Ontario; Canadá
Fil: Berthier, E.. Centre National de la Recherche Scientifique; Francia
Fil: Nussbaumer, S. U.. University of Fribourg; Suiza
Fil: González Reyes, A.. Universidad de Chile; Chile
Fil: McPhee, J.. Universidad de Chile; Chile
Fil: Barcaza, G.. Dirección General de Aguas; Chile
Materia
GLACIER MASS BALANCE
CENTRAL ANDES
RECONSTRUCTION
MINIMAL MODEL
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:11336/69743
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/69743
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Reconstructing glacier mass balances in the Central Andes of Chile and Argentina using local and regional hydro-climatic dataMasiokas, Mariano HugoChristie, D. A.Le Quesne, C.Pitte, Pedro MiguelRuiz, Lucas ErnestoVillalba, RicardoLuckman, B. H.Berthier, E.Nussbaumer, S. U.González Reyes, A.McPhee, J.Barcaza, G.GLACIER MASS BALANCECENTRAL ANDESRECONSTRUCTIONMINIMAL MODELhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Despite the great number and variety of glaciers in southern South America, in situ glacier mass balance records are extremely scarce and glacier climate relationships are still poorly understood in this region. Here we use the longest (> 35 years) and most complete in situ mass balance record, available for glaciar Echaurren Norte in the Andes at ~34° S, to develop a minimal glacier surface mass balance model that relies on nearby monthly precipitation and air temperature data as forcing. This basic model is able to explain 78 % of the variance in the annual glacier mass balance record over the 1978?2013 calibration period. An attribution assessment indicates that precipitation variability constitutes the most important forcing modulating annual glacier mass balances at this site. A regionally-averaged series of mean annual streamflow records from both sides of the Andes is then used to estimate, through simple linear regression, this glacier´s annual mass balance variations since 1909. The reconstruction model captures 68 % of the observed glacier mass balance variability and shows three periods of sustained positive mass balances embedded in an overall negative trend totaling almost −42 m w.eq. over the past 105 years. The three periods of sustained positive mass balances (centered in the 1920s?1930s, in the 1980s and in the first decade of the 21st century) coincide with several documented glacier advances in this region. Similar trends observed in other shorter glacier mass balance series suggest the glaciar Echaurren Norte reconstruction is representative of larger-scale conditions and could be useful for more detailed glaciological, hydrological and climatological assessments in this portion of the Andes.Fil: Masiokas, Mariano Hugo. 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; ArgentinaFil: Christie, D. A.. Universidad Austral de Chile; Chile. Center for Climate and Resilience Research; ChileFil: Le Quesne, C.. Universidad Austral de Chile; ChileFil: Pitte, Pedro Miguel. 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; ArgentinaFil: Ruiz, Lucas Ernesto. 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; ArgentinaFil: 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; ArgentinaFil: Luckman, B. H.. University of Western Ontario; CanadáFil: Berthier, E.. Centre National de la Recherche Scientifique; FranciaFil: Nussbaumer, S. U.. University of Fribourg; SuizaFil: González Reyes, A.. Universidad de Chile; ChileFil: McPhee, J.. Universidad de Chile; ChileFil: Barcaza, G.. Dirección General de Aguas; ChileCopernicus Publications2015-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/69743Masiokas, Mariano Hugo; Christie, D. A.; Le Quesne, C.; Pitte, Pedro Miguel; Ruiz, Lucas Ernesto; et al.; Reconstructing glacier mass balances in the Central Andes of Chile and Argentina using local and regional hydro-climatic data; Copernicus Publications; The Cryosphere Discussions; 9; 5; 9-2015; 4949-49801994-04161994-0440CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.5194/tcd-9-4949-2015info:eu-repo/semantics/altIdentifier/url/https://www.the-cryosphere.net/10/927/2016/tc-10-927-2016-discussion.htmlinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-02-26T10:35:49Zoai:ri.conicet.gov.ar:11336/69743instacron: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:34982026-02-26 10:35:49.465CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Reconstructing glacier mass balances in the Central Andes of Chile and Argentina using local and regional hydro-climatic data
title Reconstructing glacier mass balances in the Central Andes of Chile and Argentina using local and regional hydro-climatic data
spellingShingle Reconstructing glacier mass balances in the Central Andes of Chile and Argentina using local and regional hydro-climatic data
Masiokas, Mariano Hugo
GLACIER MASS BALANCE
CENTRAL ANDES
RECONSTRUCTION
MINIMAL MODEL
title_short Reconstructing glacier mass balances in the Central Andes of Chile and Argentina using local and regional hydro-climatic data
title_full Reconstructing glacier mass balances in the Central Andes of Chile and Argentina using local and regional hydro-climatic data
title_fullStr Reconstructing glacier mass balances in the Central Andes of Chile and Argentina using local and regional hydro-climatic data
title_full_unstemmed Reconstructing glacier mass balances in the Central Andes of Chile and Argentina using local and regional hydro-climatic data
title_sort Reconstructing glacier mass balances in the Central Andes of Chile and Argentina using local and regional hydro-climatic data
dc.creator.none.fl_str_mv Masiokas, Mariano Hugo
Christie, D. A.
Le Quesne, C.
Pitte, Pedro Miguel
Ruiz, Lucas Ernesto
Villalba, Ricardo
Luckman, B. H.
Berthier, E.
Nussbaumer, S. U.
González Reyes, A.
McPhee, J.
Barcaza, G.
author Masiokas, Mariano Hugo
author_facet Masiokas, Mariano Hugo
Christie, D. A.
Le Quesne, C.
Pitte, Pedro Miguel
Ruiz, Lucas Ernesto
Villalba, Ricardo
Luckman, B. H.
Berthier, E.
Nussbaumer, S. U.
González Reyes, A.
McPhee, J.
Barcaza, G.
author_role author
author2 Christie, D. A.
Le Quesne, C.
Pitte, Pedro Miguel
Ruiz, Lucas Ernesto
Villalba, Ricardo
Luckman, B. H.
Berthier, E.
Nussbaumer, S. U.
González Reyes, A.
McPhee, J.
Barcaza, G.
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv GLACIER MASS BALANCE
CENTRAL ANDES
RECONSTRUCTION
MINIMAL MODEL
topic GLACIER MASS BALANCE
CENTRAL ANDES
RECONSTRUCTION
MINIMAL MODEL
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Despite the great number and variety of glaciers in southern South America, in situ glacier mass balance records are extremely scarce and glacier climate relationships are still poorly understood in this region. Here we use the longest (> 35 years) and most complete in situ mass balance record, available for glaciar Echaurren Norte in the Andes at ~34° S, to develop a minimal glacier surface mass balance model that relies on nearby monthly precipitation and air temperature data as forcing. This basic model is able to explain 78 % of the variance in the annual glacier mass balance record over the 1978?2013 calibration period. An attribution assessment indicates that precipitation variability constitutes the most important forcing modulating annual glacier mass balances at this site. A regionally-averaged series of mean annual streamflow records from both sides of the Andes is then used to estimate, through simple linear regression, this glacier´s annual mass balance variations since 1909. The reconstruction model captures 68 % of the observed glacier mass balance variability and shows three periods of sustained positive mass balances embedded in an overall negative trend totaling almost −42 m w.eq. over the past 105 years. The three periods of sustained positive mass balances (centered in the 1920s?1930s, in the 1980s and in the first decade of the 21st century) coincide with several documented glacier advances in this region. Similar trends observed in other shorter glacier mass balance series suggest the glaciar Echaurren Norte reconstruction is representative of larger-scale conditions and could be useful for more detailed glaciological, hydrological and climatological assessments in this portion of the Andes.
Fil: Masiokas, Mariano Hugo. 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
Fil: Christie, D. A.. Universidad Austral de Chile; Chile. Center for Climate and Resilience Research; Chile
Fil: Le Quesne, C.. Universidad Austral de Chile; Chile
Fil: Pitte, Pedro Miguel. 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
Fil: Ruiz, Lucas Ernesto. 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
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
Fil: Luckman, B. H.. University of Western Ontario; Canadá
Fil: Berthier, E.. Centre National de la Recherche Scientifique; Francia
Fil: Nussbaumer, S. U.. University of Fribourg; Suiza
Fil: González Reyes, A.. Universidad de Chile; Chile
Fil: McPhee, J.. Universidad de Chile; Chile
Fil: Barcaza, G.. Dirección General de Aguas; Chile
description Despite the great number and variety of glaciers in southern South America, in situ glacier mass balance records are extremely scarce and glacier climate relationships are still poorly understood in this region. Here we use the longest (> 35 years) and most complete in situ mass balance record, available for glaciar Echaurren Norte in the Andes at ~34° S, to develop a minimal glacier surface mass balance model that relies on nearby monthly precipitation and air temperature data as forcing. This basic model is able to explain 78 % of the variance in the annual glacier mass balance record over the 1978?2013 calibration period. An attribution assessment indicates that precipitation variability constitutes the most important forcing modulating annual glacier mass balances at this site. A regionally-averaged series of mean annual streamflow records from both sides of the Andes is then used to estimate, through simple linear regression, this glacier´s annual mass balance variations since 1909. The reconstruction model captures 68 % of the observed glacier mass balance variability and shows three periods of sustained positive mass balances embedded in an overall negative trend totaling almost −42 m w.eq. over the past 105 years. The three periods of sustained positive mass balances (centered in the 1920s?1930s, in the 1980s and in the first decade of the 21st century) coincide with several documented glacier advances in this region. Similar trends observed in other shorter glacier mass balance series suggest the glaciar Echaurren Norte reconstruction is representative of larger-scale conditions and could be useful for more detailed glaciological, hydrological and climatological assessments in this portion of the Andes.
publishDate 2015
dc.date.none.fl_str_mv 2015-09
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/11336/69743
Masiokas, Mariano Hugo; Christie, D. A.; Le Quesne, C.; Pitte, Pedro Miguel; Ruiz, Lucas Ernesto; et al.; Reconstructing glacier mass balances in the Central Andes of Chile and Argentina using local and regional hydro-climatic data; Copernicus Publications; The Cryosphere Discussions; 9; 5; 9-2015; 4949-4980
1994-0416
1994-0440
CONICET Digital
CONICET
url http://hdl.handle.net/11336/69743
identifier_str_mv Masiokas, Mariano Hugo; Christie, D. A.; Le Quesne, C.; Pitte, Pedro Miguel; Ruiz, Lucas Ernesto; et al.; Reconstructing glacier mass balances in the Central Andes of Chile and Argentina using local and regional hydro-climatic data; Copernicus Publications; The Cryosphere Discussions; 9; 5; 9-2015; 4949-4980
1994-0416
1994-0440
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.5194/tcd-9-4949-2015
info:eu-repo/semantics/altIdentifier/url/https://www.the-cryosphere.net/10/927/2016/tc-10-927-2016-discussion.html
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
dc.publisher.none.fl_str_mv Copernicus Publications
publisher.none.fl_str_mv Copernicus Publications
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 13.176822

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