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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
11/01/2021 |
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Data da última atualização: |
07/07/2025 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
BETTOLLI, M. L.; SOLMAN, S. A.; ROCHA, R. P. da; LLOPART, M.; GUTIERREZ, J. M.; FERNÁNDEZ, J.; OLMO, M. E.; LAVIN GULLON, A.; CHOU, S. C.; RODRIGUES, D. C.; COPPOLA, E.; HUARTE, R. B.; BARREIRO, M.; BLÁZQUEZ, J.; DOYLE, M.; FEIJOÓ, M.; HUTH, R.; MACHADO, L.; CUADRA, S. V. |
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Afiliação: |
University of Buenos Aires (UBA); CONICET; Institut Franco-Argentin d'Estudes sur le Climat et ses Impacts (UMI-IFAECI/CNRS-CONICET-UBA); UBA; UMI-IFAECI/CNRS-CONICET-UBA; Centro de Investigaciones del Mar y La Atmósfera (CIMA), CONICET-UBA; USP; Unesp; Universidad de Cantabria; Universidad de Cantabria; UBA; CONICET; UMI-IFAECI/CNRS-CONICET-UBA; Universidad de Cantabria; INPE; INPE; International Center for Theoretical Physics, Trieste; UBA; CONICET; UMI-IFAECI/CNRS-CONICET-UBA; Universidad de la República, Montevideo; UMI-IFAECI/CNRS-CONICET-UBA; CIMA/CONICET-UBA; Universidad Nacional de La Plata; UBA; UMI-IFAECI/CNRS-CONICET-UBA; CIMA/CONICET-UBA; UMI-IFAECI/CNRS-CONICET-UBA; CIMA/CONICET-UBA; Academy of Sciences of the Czech Republic; Charles University; INPE; SANTIAGO VIANNA CUADRA, CNPTIA. |
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Título: |
The CORDEX Flagship Pilot Study in southeastern South America: a comparative study of statistical and dynamical downscaling models in simulating daily extreme precipitation events. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Climate Dynamics, v. 56, n. 5-6, p. 1589-1608, Mar. 2021. |
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DOI: |
https://doi.org/10.1007/s00382-020-05549-z |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract. 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 downscal-ing 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 inte-grated assessment of multiple sources of observations and available CORDEX Regional Climate Model simulations. Com-parisons 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. MenosAbstract. 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 downscal-ing 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 inte-grated assessment of multiple sources of observations and available CORDEX Regional Climate Model simulations. Com-parisons among all simulations reveal that there is... Mostrar Tudo |
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Palavras-Chave: |
Coordinated Regional Climate Downscaling Experiments; Eventos extremos de precipitação; Extreme precipitation; Observational uncertainty; Precipitação extrema; Simulação dinâmica; Simulação estatística; Southeastern South America; Statistical and dynamical downscaling. |
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Categoria do assunto: |
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Marc: |
LEADER 03476naa a2200457 a 4500
001 2129164
005 2025-07-07
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s00382-020-05549-z$2DOI
100 1 $aBETTOLLI, M. L.
245 $aThe CORDEX Flagship Pilot Study in southeastern South America$ba comparative study of statistical and dynamical downscaling models in simulating daily extreme precipitation events.$h[electronic resource]
260 $c2021
520 $aAbstract. 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 downscal-ing 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 inte-grated assessment of multiple sources of observations and available CORDEX Regional Climate Model simulations. Com-parisons 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.
653 $aCoordinated Regional Climate Downscaling Experiments
653 $aEventos extremos de precipitação
653 $aExtreme precipitation
653 $aObservational uncertainty
653 $aPrecipitação extrema
653 $aSimulação dinâmica
653 $aSimulação estatística
653 $aSoutheastern South America
653 $aStatistical and dynamical downscaling
700 1 $aSOLMAN, S. A.
700 1 $aROCHA, R. P. da
700 1 $aLLOPART, M.
700 1 $aGUTIERREZ, J. M.
700 1 $aFERNÁNDEZ, J.
700 1 $aOLMO, M. E.
700 1 $aLAVIN GULLON, A.
700 1 $aCHOU, S. C.
700 1 $aRODRIGUES, D. C.
700 1 $aCOPPOLA, E.
700 1 $aHUARTE, R. B.
700 1 $aBARREIRO, M.
700 1 $aBLÁZQUEZ, J.
700 1 $aDOYLE, M.
700 1 $aFEIJOÓ, M.
700 1 $aHUTH, R.
700 1 $aMACHADO, L.
700 1 $aCUADRA, S. V.
773 $tClimate Dynamics$gv. 56, n. 5-6, p. 1589-1608, Mar. 2021.
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