South American precipitation changes simulated by PMIP3/CMIP5 models during the Little Ice Age and the recent global warming period
Large climate variations have been detected from paleoclimatic records in some regions of South America during the last 500 years. Among them, the Altiplano and the subtropical Andes regions exhibited wetter-than-normal conditions during the 17th century within the paleoclimatic period known as Litt...
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John Wiley and Sons Ltd
2018
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| 008 | 190410s2018 xx ||||fo|||| 00| 0 eng|d | ||
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| 040 | |a Scopus |b spa |c AR-BaUEN |d AR-BaUEN | ||
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| 100 | 1 | |a Díaz, L.B. | |
| 245 | 1 | 0 | |a South American precipitation changes simulated by PMIP3/CMIP5 models during the Little Ice Age and the recent global warming period |
| 260 | |b John Wiley and Sons Ltd |c 2018 | ||
| 270 | 1 | 0 | |m Díaz, L.B.; Departamento de Ciencias de la Atmósfera y los Océanos, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos AiresArgentina; email: ldiaz@cima.fcen.uba.ar |
| 506 | |2 openaire |e Política editorial | ||
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| 520 | 3 | |a Large climate variations have been detected from paleoclimatic records in some regions of South America during the last 500 years. Among them, the Altiplano and the subtropical Andes regions exhibited wetter-than-normal conditions during the 17th century within the paleoclimatic period known as Little Ice Age (LIA). On the other hand, both regions experienced drier-than-normal conditions in the second part of the 20th century in association with the recent global warming period (GWP). This study provides an assessment of the ability of four models of the third phase of the Paleoclimate Modelling Intercomparison Project (PMIP3)/fifth phase of the Coupled Model Intercomparison Project (CMIP5) experiments in reproducing those regional rainfall changes and the associated large-scale circulation features. Climate models can represent qualitatively the temperature changes observed in South America in both periods, LIA and GWP, as compared to the control run, but they do not properly describe the associated precipitation changes. However, they can simulate, in some extent, the large-scale circulation changes that previous works identified as important in driving the precipitation changes in both regions. Therefore, the assessment allows to detect the following changes in LIA (GWP): (a) equatorwards (polewards) displacement of the southern branch of the Hadley cell, in turn associated with wetter (drier) conditions in subtropical south America; (b) negative (positive) upper-level zonal wind changes related with positive (negative) December, January and February (DJF) rainfall changes in the Altiplano; and (c) positive (negative) low-level zonal wind changes associated to positive (negative) JJA rainfall changes in the subtropical Andes, being in turn related to hemispheric wind changes resembling a negative (positive) phase of the southern annular mode. © 2018 Royal Meteorological Society |l eng | |
| 536 | |a Detalles de la financiación: Centro de Investigación Médica Aplicada, Universidad de Navarra | ||
| 536 | |a Detalles de la financiación: Universidad de Buenos Aires | ||
| 536 | |a Detalles de la financiación: Centre National de la Recherche Scientifique | ||
| 536 | |a Detalles de la financiación: Centre National de la Recherche Scientifique | ||
| 536 | |a Detalles de la financiación: Universidad de Buenos Aires | ||
| 536 | |a Detalles de la financiación: Consejo Nacional de Investigaciones Científicas y Técnicas, PIP 112-20120100626CO, UBACyT 20020130100489BA, PIDDEF | ||
| 536 | |a Detalles de la financiación: 2Centro de Investigaciones del Mar y la Atmósfera (CIMA), CONICET-Universidad de Buenos Aires, Buenos Aires, Argentina | ||
| 536 | |a Detalles de la financiación: 3Centre National de la Recherche Scientifique (CNRS), Unidad Mixta Internacional (UMI) Instituto Franco Argentino sobre Estudios de Clima y sus Impactos (IFAECI), Buenos Aires, Argentina | ||
| 536 | |a Detalles de la financiación: Leandro B. Díaz, Centro de Investigaciones del Mar y la Atmósfera (CIMA), CONICET-Universidad de Buenos Aires, Buenos Aires, Argentina. Email: ldiaz@cima.fcen.uba.ar | ||
| 536 | |a Detalles de la financiación: We acknowledge the World Climate Research Programme’s Working Group on Coupled Modelling, which is responsible for CMIP, and we thank the climate modelling groups for producing and making available their model output. For CMIP the U.S. Department of Energy’s Program for Climate Model Diagnosis and Intercomparison provides coordinating support and led development of software infrastructure in partnership with the Global Organization for Earth System Science Portals. The research was supported by Consejo Nacional de Investigaciones Científi-cas y Técnicas (CONICET) PIP 112-20120100626CO, UBACyT 20020130100489BA, PIDDEF 2014/2017 Nro 15 and the CLIMAX Project funded by Belmont Forum. Leandro Díaz was supported by a PhD grant from CONI-CET, Argentina. | ||
| 593 | |a Departamento de Ciencias de la Atmósfera y los Océanos, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina | ||
| 593 | |a Centro de Investigaciones del Mar y la Atmósfera (CIMA), CONICET-Universidad de Buenos Aires, Buenos Aires, Argentina | ||
| 593 | |a Centre National de la Recherche Scientifique (CNRS), Unidad Mixta Internacional (UMI) Instituto Franco Argentino sobre Estudios de Clima y sus Impactos (IFAECI), Buenos Aires, Argentina | ||
| 690 | 1 | 0 | |a ALTIPLANO |
| 690 | 1 | 0 | |a PALEOCLIMATIC RECORDS |
| 690 | 1 | 0 | |a PMIP3/CMIP5 MODELS |
| 690 | 1 | 0 | |a SUBTROPICAL ANDES |
| 690 | 1 | 0 | |a GLACIAL GEOLOGY |
| 690 | 1 | 0 | |a GLOBAL WARMING |
| 690 | 1 | 0 | |a RAIN |
| 690 | 1 | 0 | |a TROPICS |
| 690 | 1 | 0 | |a ALTIPLANO |
| 690 | 1 | 0 | |a COUPLED MODEL INTERCOMPARISON PROJECT |
| 690 | 1 | 0 | |a LARGE-SCALE CIRCULATION |
| 690 | 1 | 0 | |a PALEOCLIMATE MODELLING |
| 690 | 1 | 0 | |a PALEOCLIMATIC RECORD |
| 690 | 1 | 0 | |a PRECIPITATION CHANGE |
| 690 | 1 | 0 | |a SOUTHERN ANNULAR MODE |
| 690 | 1 | 0 | |a SUBTROPICAL ANDES |
| 690 | 1 | 0 | |a CLIMATE MODELS |
| 690 | 1 | 0 | |a CLIMATE MODELING |
| 690 | 1 | 0 | |a CLIMATE VARIATION |
| 690 | 1 | 0 | |a CMIP |
| 690 | 1 | 0 | |a GLOBAL WARMING |
| 690 | 1 | 0 | |a LITTLE ICE AGE |
| 690 | 1 | 0 | |a PALEOCLIMATE |
| 690 | 1 | 0 | |a PRECIPITATION (CLIMATOLOGY) |
| 690 | 1 | 0 | |a RAINFALL |
| 690 | 1 | 0 | |a ALTIPLANO |
| 690 | 1 | 0 | |a ANDES |
| 700 | 1 | |a Vera, C.S. | |
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