@Article{SolmanSSRLMPRCBLCJ:2013:MoPeUn,
               author = "Solman, Silvina A. and Sanchez, E. and Samuelsson, P. and Rocha, 
                         R. P. da and Li, L. and Marengo, Jos{\'e} Antonio and Pessacg, N. 
                         L. and Remedio, A. R. C. and Chou, Sin Chan and Berbery, H. and Le 
                         Treut, H. and Castro, M. de and Jacob, D.",
          affiliation = "Centro de Investigaciones del Mar y la Atm{\'o}sfera 
                         (CIMA/CONICET-UBA), DCAO/FCEN-UBA, UMI IFAECI/CNRS, Ciudad 
                         Universitaria Pabell{\'o}n II Piso 2, Buenos Aires, C1428EGA, 
                         Argentina and Facultad Ciencias Ambientales y Bioquimica, 
                         Universidad de Castilla-La Mancha, Toledo, Spain and Rossby 
                         Centre, SMHI, Norrk{\"o}ping, 601 76, Sweden and Departamento de 
                         Ciencias Atmosfericas, Instituto de Astronomia, Geofisica e 
                         Ciencias Atmosfericas, Universidade de S{\~a}o Paulo, S{\~a}o 
                         Paulo, Brazil and Laboratoire de M{\'e}t{\'e}orologie Dynamique, 
                         IPSL, CNRS/UPMC, Paris, France and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and Centro Nacional Patag{\'o}nico 
                         (CENPAT/CONICET), Puerto Madryn, U9120ACF, Argentina and Max 
                         Planck Institute for Meteorology, Hamburg, 20146, Germany and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and Earth 
                         System Science Interdisciplinary Center (ESSIC), University of 
                         Maryland, 5825 University Research Court, Suite 4001, College 
                         Park, 20740-3823, United States and Laboratoire de 
                         M{\'e}t{\'e}orologie Dynamique, IPSL, CNRS/UPMC, Paris, France 
                         and Facultad Ciencias Ambientales y Bioquimica, Universidad de 
                         Castilla-La Mancha, Toledo, Spain and Max Planck Institute for 
                         Meteorology, Hamburg, 20146, Germany; Climate Service Center, 
                         Hamburg, 20095, Germany",
                title = "Evaluation of an ensemble of regional climate model simulations 
                         over South America driven by the ERA-Interim reanalysis: model 
                         performance and uncertainties",
              journal = "Climate Dynamics",
                 year = "2013",
               volume = "41",
               number = "5-6",
                pages = "1139--1157",
             keywords = "regional climate models, mean climate, South America, CORDEX, 
                         uncertainty.",
             abstract = "The capability of a set of 7 coordinated regional climate model 
                         simulations performed in the framework of the CLARIS-LPB Project 
                         in reproducing the mean climate conditions over the South American 
                         continent has been evaluated. The model simulations were forced by 
                         the ERA-Interim reanalysis dataset for the period 1990-2008 on a 
                         grid resolution of 50 km, following the CORDEX protocol. The 
                         analysis was focused on evaluating the reliability of simulating 
                         mean precipitation and surface air temperature, which are the 
                         variables most commonly used for impact studies. Both the common 
                         features and the differences among individual models have been 
                         evaluated and compared against several observational datasets. In 
                         this study the ensemble bias and the degree of agreement among 
                         individual models have been quantified. The evaluation was focused 
                         on the seasonal means, the area-averaged annual cycles and the 
                         frequency distributions of monthly means over target sub-regions. 
                         Results show that the Regional Climate Model ensemble reproduces 
                         adequately well these features, with biases mostly within ±2 °C 
                         and ±20 % for temperature and precipitation, respectively. 
                         However, the multi-model ensemble depicts larger biases and larger 
                         uncertainty (as defined by the standard deviation of the models) 
                         over tropical regions compared with subtropical regions. Though 
                         some systematic biases were detected particularly over the La 
                         Plata Basin region, such as underestimation of rainfall during 
                         winter months and overestimation of temperature during summer 
                         months, every model shares a similar behavior and, consequently, 
                         the uncertainty in simulating current climate conditions is low. 
                         Every model is able to capture the variety in the shape of the 
                         frequency distribution for both temperature and precipitation 
                         along the South American continent. Differences among individual 
                         models and observations revealed the nature of individual model 
                         biases, showing either a shift in the distribution or an 
                         overestimation or underestimation of the range of variability. © 
                         2013 Springer-Verlag Berlin Heidelberg.",
                  doi = "10.1007/s00382-013-1667-2",
                  url = "http://dx.doi.org/10.1007/s00382-013-1667-2",
                 issn = "0930-7575",
                label = "scopus",
             language = "en",
           targetfile = "10.1007_s00382-013-1667-2.pdf",
        urlaccessdate = "04 maio 2024"
}