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Abstract:

This study assesses the performance of 15 high resolution global climate models (GCMs) over the complex orographic region of the subtropical central Andes from available simulations of the Fifth Coupled Model Intercomparison Project (CMIP5). The simulated past climate (1980–2005) was compared against the Climate Research Unit (CRU) dataset and the ERA-Interim reanalysis, considered as reference datasets, to evaluate regional and seasonal surface temperature and precipitation, as well as sea level pressure and circulation. A good agreement was found between the simulations and the reference datasets for winter precipitation and for temperature over both seasons. Whilst all models correctly reproduce the annual cycle of precipitation, some of them overestimate winter totals. ERA-Interim does not adequately represent summer precipitation over the region, and some of the models analyzed also show the same deficiency. All models correctly reproduce the northward migration of the South Pacific subtropical high during winter, although some of them underestimate the maximum central pressure. During summer, most models fail to show the low level north–south flow parallel to the eastern foothills of the Andes, a feature known as the Low Level Jet. Further analysis of the results of the simulations led to the selection of a sub-set of five CMIP5 GCMs to construct a reduced ensemble. This reduced ensemble is a better representation than the multi-model mean of the 15 GCMs of the past climate at this region and would be recommended for future studies. © 2017, Springer-Verlag Berlin Heidelberg.

Registro:

Documento: Artículo
Título:Regional climate of the subtropical central Andes using high-resolution CMIP5 models—part I: past performance (1980–2005)
Autor:Zazulie, N.; Rusticucci, M.; Raga, G.B.
Filiación:Departamento de Ciencias de la Atmósfera y los Océanos, FCEN, Universidad de Buenos Aires, Intendente Güiraldes 2160, Ciudad Universitaria, C1428EGA, Buenos Aires, Argentina
Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
Unidad Mixta Internacional, Instituto Franco-Argentino para el Estudio del Clima y sus Impactos (UMI-IFAECI), Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
Centro de Ciencias de la Atmósfera, Universidad Nacional Autónoma de Mexico, Mexico City, Mexico
Palabras clave:CMIP5 models; Model evaluation; Subtropical central Andes; atmospheric circulation; climate modeling; ensemble forecasting; general circulation model; precipitation assessment; regional climate; sea level pressure; subtropical region; surface temperature; Andes; Pacific Ocean; Pacific Ocean (South)
Año:2017
Volumen:49
Número:11-12
Página de inicio:3937
Página de fin:3957
DOI: http://dx.doi.org/10.1007/s00382-017-3560-x
Título revista:Climate Dynamics
Título revista abreviado:Clim. Dyn.
ISSN:09307575
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09307575_v49_n11-12_p3937_Zazulie

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Citas:

---------- APA ----------
Zazulie, N., Rusticucci, M. & Raga, G.B. (2017) . Regional climate of the subtropical central Andes using high-resolution CMIP5 models—part I: past performance (1980–2005). Climate Dynamics, 49(11-12), 3937-3957.
http://dx.doi.org/10.1007/s00382-017-3560-x
---------- CHICAGO ----------
Zazulie, N., Rusticucci, M., Raga, G.B. "Regional climate of the subtropical central Andes using high-resolution CMIP5 models—part I: past performance (1980–2005)" . Climate Dynamics 49, no. 11-12 (2017) : 3937-3957.
http://dx.doi.org/10.1007/s00382-017-3560-x
---------- MLA ----------
Zazulie, N., Rusticucci, M., Raga, G.B. "Regional climate of the subtropical central Andes using high-resolution CMIP5 models—part I: past performance (1980–2005)" . Climate Dynamics, vol. 49, no. 11-12, 2017, pp. 3937-3957.
http://dx.doi.org/10.1007/s00382-017-3560-x
---------- VANCOUVER ----------
Zazulie, N., Rusticucci, M., Raga, G.B. Regional climate of the subtropical central Andes using high-resolution CMIP5 models—part I: past performance (1980–2005). Clim. Dyn. 2017;49(11-12):3937-3957.
http://dx.doi.org/10.1007/s00382-017-3560-x