Autor(es):
Bettolli, M. L. ; Solman, S. A. ; da Rocha, R. P. ; Llopart, M. [UNESP] ; Gutierrez, J. M. ; Fernández, J. ; Olmo, M. E. ; Lavin-Gullon, A. ; Chou, S. C. ; Rodrigues, D. Carneiro ; Coppola, E. ; Balmaceda Huarte, R. ; Barreiro, M. ; Blázquez, J. ; Doyle, M. ; Feijoó, M. ; Huth, R. ; Machado, L. ; Cuadra, S. Vianna
Data: 2021
Identificador Persistente: http://hdl.handle.net/11449/205680
Origem: Oasisbr
Assunto(s): Extreme precipitation; Observational uncertainty; Southeastern South America; Statistical and dynamical downscaling
Descrição
Made available in DSpace on 2021-06-25T10:19:29Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-03-01
Abdus Salam International Centre for Theoretical Physics
Secretaria de Ciencia y Tecnica, Universidad de Buenos Aires
Agencia Nacional de Promoción Científica y Tecnológica
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.
Department of Atmospheric and Ocean Sciences Faculty of Exact and Natural Sciences University of Buenos Aires (DCAO-FCEN-UBA)
National Council of Scientific and Technical Research (CONICET)
Institut Franco‐Argentin d’Estudes sur le Climat et ses Impacts Unité Mixte Internationale (UMI-IFAECI/CNRS-CONICET-UBA)
Centro de Investigaciones del Mar y La Atmósfera (CIMA) CONICET-UBA
Departamento de Ciências Atmosféricas Universidade de São Paulo (USP)
Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)
Meteorology Group Instituto de Física de Cantabria (IFCA) CSIC-Univ. Cantabria
Meteorology Group Department of Applied Mathematics and Computer Science Universidad de 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))
Departamento de Ciencias de la Atmósfera Facultad de Ciencias Universidad de la República
Facultad de Ciencias Astronómicas y Geofísicas Universidad Nacional de La Plata
Department of Climatology Institute of Atmospheric Physics Academy of Sciences of the Czech Republic
Department of Physical Geography and Geoecology Faculty of Science Charles University
Brazilian Agricultural Research Corporation (EMBRAPA)
Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)
Secretaria de Ciencia y Tecnica, Universidad de Buenos Aires: 2018-20020170100117BA
Agencia Nacional de Promoción Científica y Tecnológica: PICT-2018-02496
