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dc.contributor.author
Matskovsky, Vladimir  
dc.contributor.author
Roig Junent, Fidel Alejandro  
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Fuentes, Mauricio  
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Korneva, Irina  
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Araneo, Diego Christian  
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Linderholm, Hans W.  
dc.contributor.author
Aravena, Juan Carlos  
dc.date.available
2023-07-10T18:57:20Z  
dc.date.issued
2023-03  
dc.identifier.citation
Matskovsky, Vladimir; Roig Junent, Fidel Alejandro; Fuentes, Mauricio; Korneva, Irina; Araneo, Diego Christian; et al.; Summer temperature changes in Tierra del Fuego since AD 1765: atmospheric drivers and tree-ring reconstruction from the southernmost forests of the world; Springer; Climate Dynamics; 60; 5-6; 3-2023; 1635-1649  
dc.identifier.issn
0930-7575  
dc.identifier.uri
http://hdl.handle.net/11336/203074  
dc.description.abstract
Proxy climate records, such as those derived from tree rings, are necessary to extend relatively short instrumental meteorological observations into the past. Tierra del Fuego is the most austral territory with forests in the world, situated close to the Antarctic Peninsula, which makes this region especially interesting for paleoclimatic research. However, high-quality, high-resolution summer temperature reconstruction are lacking in the region. In this study we used 63 tree-ring width chronologies of Nothofagus pumilio and Nothofagus betuloides and partial least squares regression (PLSR) to produce annually resolved December-to-February temperature reconstruction. The resulting reconstruction extends back to AD 1765 and explains 37–50% of instrumental temperature variability. We found that observed summer temperature variability in Tierra del Fuego is primarily driven by the fluctuations of atmospheric pressure systems both in the South Atlantic and South Pacific, while it is insignificantly correlated to major hemispheric modes: El Niño–Southern Oscillation and Southern Annular Mode. This fact makes our reconstruction important for climate modelling experiments, as it represents specific regional variability. Our reconstruction can be used for direct comparison with model outputs to better understand model limitations or to tune a model. The reconstruction can contribute to larger scale reconstructions based on paleoclimatic data assimilation. Moreover, we showed that PLSR has improved performance over principal component regression (PCR) in the case of multiple tree-ring predictors. According to these results, PLSR may be a preferable method over PCR for the use in automated tree-ring based reconstruction approaches, akin widely used point-by-point regression.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Springer  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
DENDROCLIMATOLOGY  
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NOTHOFAGUS BETULOIDES  
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NOTHOFAGUS PUMILIO  
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PARTIAL LEAST SQUARES REGRESSION  
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PRINCIPAL COMPONENT REGRESSION  
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SOUTHERN ATLANTIC  
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SOUTHERN HEMISPHERE  
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Otras Ciencias de la Tierra y relacionadas con el Medio Ambiente  
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Ciencias de la Tierra y relacionadas con el Medio Ambiente  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Summer temperature changes in Tierra del Fuego since AD 1765: atmospheric drivers and tree-ring reconstruction from the southernmost forests of the world  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2023-07-05T15:21:57Z  
dc.journal.volume
60  
dc.journal.number
5-6  
dc.journal.pagination
1635-1649  
dc.journal.pais
Alemania  
dc.journal.ciudad
Berlin  
dc.description.fil
Fil: Matskovsky, Vladimir. 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. Academia de Ciencias de Rusia; Rusia  
dc.description.fil
Fil: Roig Junent, Fidel Alejandro. 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. Universidad Mayor; Chile  
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Fil: Fuentes, Mauricio. University Goteborg; Suecia  
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Fil: Korneva, Irina. Academia de Ciencias de Rusia; Rusia  
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Fil: Araneo, Diego Christian. 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  
dc.description.fil
Fil: Linderholm, Hans W.. University Goteborg; Suecia  
dc.description.fil
Fil: Aravena, Juan Carlos. Universidad de Magallanes; Chile  
dc.journal.title
Climate Dynamics  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s00382-022-06384-0  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1007/s00382-022-06384-0