R. P. da Rocha, Radan Huth, Maria Laura Bettolli, Silvina Alicia Solman, D. Carneiro Rodrigues, Marcelo Barreiro, Sin Chan Chou, M. E. Olmo, Marta Llopart, S. Vianna Cuadra, M. Feijoo, M. E. Doyle, Alvaro Lavin-Gullon, Jesús Fernández, L. Machado, José M. Gutiérrez, Josefina Blazquez, R. Balmaceda Huarte, Erika Coppola, Universidad de Buenos Aires, Consejo Superior de Investigaciones Científicas (España), Ministerio de Economía y Competitividad (España), European Commission, Ministry of Education, Youth and Sports (Czech Republic), Universidad de Cantabria, University of Buenos Aires (DCAO-FCEN-UBA), National Council of Scientific and Technical Research (CONICET), Unité Mixte Internationale (UMI-IFAECI/CNRS-CONICET-UBA), CONICET-UBA, Universidade de São Paulo (USP), Universidade Estadual Paulista (Unesp), CSIC-Univ. Cantabria, Centro de Previsão de Tempo e Estudos Climáticos-INPE, Instituto Nacional de Pesquisas Espaciais (INPE), International Centre for Theoretical Physics (International Center for Theoretical Physics (ICTP)), Universidad de la República, Universidad Nacional de La Plata, Academy of Sciences of the Czech Republic, Charles University, and Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
The aim of this work is to present preliminary results of the statistical and dynamical simulations carried out within the framework of the Flagship Pilot Study in southeastern South America (FPS-SESA) endorsed by the Coordinated Regional Climate Downscaling Experiments (CORDEX) program. The FPS-SESA initiative seeks to promote inter-institutional collaboration and further networking with focus on extreme rainfall events. The main scientific aim is to study multi-scale processes and interactions most conducive to extreme precipitation events through both statistical and dynamical downscaling techniques, including convection-permitting simulations. To this end, a targeted experiment was designed considering the season October 2009 to March 2010, a period with a record number of extreme precipitation events within SESA. Also, three individual extreme events within that season were chosen as case studies for analyzing specific regional processes and sensitivity to resolutions. Four dynamical and four statistical downscaling models (RCM and ESD respectively) from different institutions contributed to the experiment. In this work, an analysis of the capability of the set of the FPS-SESA downscaling methods in simulating daily precipitation during the selected warm season is presented together with an integrated assessment of multiple sources of observations and available CORDEX Regional Climate Model simulations. Comparisons among all simulations reveal that there is no single model that performs best in all aspects evaluated. The ability in reproducing the different features of daily precipitation depends on the model. However, the evaluation of the sequence of precipitation events, their intensity and timing suggests that FPS-SESA simulations based on both RCM and ESD yield promising results. Most models capture the extreme events selected, although with a considerable spread in accumulated values and the location of heavy precipitation., Thanks to CORDEX for endorsing the FPS-SESA. This work was supported by the University of Buenos Aires 2018-20020170100117BA grant; JMG, MLB, SAS, RPR funding from the Spanish Research Council (CSIC) I-COOP+ Program “reference COOPB20374”. JMG, JF and AL-G acknowledge support from the Spanish R&D Program through projects MULTI-SDM (CGL2015-66583-R) and INSIGNIA (CGL2016-79210-R), co-funded by the European Regional Development Fund (ERDF/FEDER). AL-G acknowledges support from the Spanish R&D Program through the predoctoral contract BES-2016-078158. Universidad de Cantabria simulations have been carried out on the Altamira Supercomputer at the Instituto de Física de Cantabria (IFCA-CSIC), member of the Spanish Supercomputing Network. MB acknowledges support from the Simons Associateship of the Abdus Salam International Centre for Theoretical Physics. RH acknowledges support from the project LTT17007 funded by the Ministry of Education, Youth, and Sports of the Czech Republic.