Reiner Palomino-Lemus1,2, Samir Córdoba-Machado1,2, Sonia Raquel Gámiz-Fortis1, Yolanda Castro-Díez1, María Jesús Esteban-Parra1,*

Applied Physics Department, University of Granada, Granada, Spain

Technological University of Chocó, Colombia



In this study, the SLP field in the Tropical Pacific simulated in the pre-industrial historical experiments of the Coupled Model Intercomparison Project Phase 5 (CMIP5) has been evaluated by comparing this with the SLP data from NCEP reanalysis and HadSLP2. For this end we compare the principal modes of variability obtained by the EOFs through the use of Taylor diagrams and also how the variance of SLP is accounted by different modes. In general, the SLP mean field is accurately reproduced by the models, particularly for the CNRM-CM5, CMCC-CMS and HadGEM2-CC models, meanwhile the CESM1(CAM5) model can be considered the worst. The results show for the models a suitable representation of the intrannual SLP variability associated with the first leading SLP pattern from the NCEP and HadSLP2 datasets in the central Pacific, characterized by a strong correlation pattern between 10º S–10º N and 140º W–90º W. Moreover the forty CMIP5 models examined reproduce the SLP spatial pattern associated to El Niño Southern Oscillation (ENSO) reasonably well.


Regarding to explained variance by SLP, at monthly scale, the first and second EOFs obtained from the models show similar values to the corresponding EOFs from the NCEP and HadSLP2 datasets, with values around 20%-30% of variance. However, there are notable differences in the variance associated to these EOFs between the models at seasonal scale. For this case, CMIP5 models present higher rank values for the variance explained by the first EOF, so that for some models this variance is higher than 50% and for other ones is lesser than 30%. Additionally, these variations are found more pronounced for winter.

 “Cambio climático y cambio global” de la serie A No 9, ISBN 978-84-16027-69-9 depósito legal AL 1067-2014 editada en España por la Asociación Española de Climatología.


Energías Renovables y Meteorología