A comparison of statistical downscaling techniques for daily precipitation: results from the CORDEX flagship pilot study in South America
- Autores
- Bettolli, Maria Laura; Gutiérrez Llorente, José Manuel; Iturbide, Maialen; Baño Medina, Jorge; Huth, Radan; Solman, Silvina Alicia; Fernández, Jesús; da Rocha, Rosmeri Porfirio; Llopart, Marta; Lavín Gullón, Álvaro; Coppola, Erika; Chou, Sin Chan; Doyle, Moira Evelina; Olmo, Matías Ezequiel; Feijoó, Martín
- Año de publicación
- 2019
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- Southeast South America (SESA) is one of the regions of the planet where extreme precipitation events occur and have high impact on human activities. These extreme events result from the complex interactions of a broad range of scales, therefore their study, modelling and projections in a changing climate continue to be a challenging task. The CORDEX Flagship Pilot Study in South America (FPSSESA) addresses this topic in order to advance in the understanding and modelling of extreme precipitation events based on coordinated experiments using different downscaling approaches. In this work we present the results from the collaborative action to intercompare different statistical downscaling techniques in simulating daily precipitation in SESA with special focus on extremes. To this end, seven statistical downscaling models based on the regression and analog families were evaluated over SESA. The sensitivity to the different predictor and predictand datasets were tested using two reanalyses (ECMWF ERA-Interim and Japanese 55-year Reanalysis JRA-55) and two daily precipitation (station data and MSWEP) datasets. The models were calibrated and cross-validated during the 1979-2009 period and also evaluated in the independent warm season of 2009-2010. This season, with record of extreme precipitation events, is the target season chosen in the FPS-SESA to perform the dynamical downscaling simulations as well, and therefore it allows for comparisons between both approaches. The results show that the methods are more skillful when combined predictors including circulation variables at middle levels and local humidity at low levels of the atmosphere are considered. The performance of the models is also sensitive to reanalysis choice. The methods show overall good performance in simulating daily precipitation characteristics over the region, but no single model performs best over all validation metrics and aspects evaluated.
Fil: Bettolli, Maria Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina
Fil: Gutiérrez Llorente, José Manuel. Universidad de Cantabria; España
Fil: Iturbide, Maialen. Universidad de Cantabria; España
Fil: Baño Medina, Jorge. Universidad de Cantabria; España
Fil: Huth, Radan. Karlova Univerzita (cuni); República Checa
Fil: Solman, Silvina Alicia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina
Fil: Fernández, Jesús. Universidad de Cantabria; España
Fil: da Rocha, Rosmeri Porfirio. Universidade de Sao Paulo; Brasil
Fil: Llopart, Marta. Universidad Estadual de Sao Paulo; Brasil
Fil: Lavín Gullón, Álvaro. Universidad de Cantabria; España
Fil: Coppola, Erika. The Abdus Salam; Italia
Fil: Chou, Sin Chan. Centro de Previsao de Tempo e Estudos Climaticos; Brasil
Fil: Doyle, Moira Evelina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina
Fil: Olmo, Matías Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina
Fil: Feijoó, Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina
International Conference on Regional Climate
Beijing
China
World Climate Research Programme
Instituto Sueco de Meteorología e Hidrología - Materia
-
FLAGSHIP PILOT STUDY
PRECIPITATION EXTREMES
STATISTICAL DOWNSCALING
CORDEX - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/163712
Ver los metadatos del registro completo
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CONICET Digital (CONICET) |
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A comparison of statistical downscaling techniques for daily precipitation: results from the CORDEX flagship pilot study in South AmericaBettolli, Maria LauraGutiérrez Llorente, José ManuelIturbide, MaialenBaño Medina, JorgeHuth, RadanSolman, Silvina AliciaFernández, Jesúsda Rocha, Rosmeri PorfirioLlopart, MartaLavín Gullón, ÁlvaroCoppola, ErikaChou, Sin ChanDoyle, Moira EvelinaOlmo, Matías EzequielFeijoó, MartínFLAGSHIP PILOT STUDYPRECIPITATION EXTREMESSTATISTICAL DOWNSCALINGCORDEXhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Southeast South America (SESA) is one of the regions of the planet where extreme precipitation events occur and have high impact on human activities. These extreme events result from the complex interactions of a broad range of scales, therefore their study, modelling and projections in a changing climate continue to be a challenging task. The CORDEX Flagship Pilot Study in South America (FPSSESA) addresses this topic in order to advance in the understanding and modelling of extreme precipitation events based on coordinated experiments using different downscaling approaches. In this work we present the results from the collaborative action to intercompare different statistical downscaling techniques in simulating daily precipitation in SESA with special focus on extremes. To this end, seven statistical downscaling models based on the regression and analog families were evaluated over SESA. The sensitivity to the different predictor and predictand datasets were tested using two reanalyses (ECMWF ERA-Interim and Japanese 55-year Reanalysis JRA-55) and two daily precipitation (station data and MSWEP) datasets. The models were calibrated and cross-validated during the 1979-2009 period and also evaluated in the independent warm season of 2009-2010. This season, with record of extreme precipitation events, is the target season chosen in the FPS-SESA to perform the dynamical downscaling simulations as well, and therefore it allows for comparisons between both approaches. The results show that the methods are more skillful when combined predictors including circulation variables at middle levels and local humidity at low levels of the atmosphere are considered. The performance of the models is also sensitive to reanalysis choice. The methods show overall good performance in simulating daily precipitation characteristics over the region, but no single model performs best over all validation metrics and aspects evaluated.Fil: Bettolli, Maria Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; ArgentinaFil: Gutiérrez Llorente, José Manuel. Universidad de Cantabria; EspañaFil: Iturbide, Maialen. Universidad de Cantabria; EspañaFil: Baño Medina, Jorge. Universidad de Cantabria; EspañaFil: Huth, Radan. Karlova Univerzita (cuni); República ChecaFil: Solman, Silvina Alicia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; ArgentinaFil: Fernández, Jesús. Universidad de Cantabria; EspañaFil: da Rocha, Rosmeri Porfirio. Universidade de Sao Paulo; BrasilFil: Llopart, Marta. Universidad Estadual de Sao Paulo; BrasilFil: Lavín Gullón, Álvaro. Universidad de Cantabria; EspañaFil: Coppola, Erika. The Abdus Salam; ItaliaFil: Chou, Sin Chan. Centro de Previsao de Tempo e Estudos Climaticos; BrasilFil: Doyle, Moira Evelina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; ArgentinaFil: Olmo, Matías Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; ArgentinaFil: Feijoó, Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; ArgentinaInternational Conference on Regional ClimateBeijingChinaWorld Climate Research ProgrammeInstituto Sueco de Meteorología e HidrologíaWorld Climate Research Programme2019info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectConferenciaBookhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/163712A comparison of statistical downscaling techniques for daily precipitation: results from the CORDEX flagship pilot study in South America; International Conference on Regional Climate; Beijing; China; 2019; 88-88CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://icrc-cordex2019.cordex.org/Internacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:49:29Zoai:ri.conicet.gov.ar:11336/163712instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:49:29.945CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
A comparison of statistical downscaling techniques for daily precipitation: results from the CORDEX flagship pilot study in South America |
title |
A comparison of statistical downscaling techniques for daily precipitation: results from the CORDEX flagship pilot study in South America |
spellingShingle |
A comparison of statistical downscaling techniques for daily precipitation: results from the CORDEX flagship pilot study in South America Bettolli, Maria Laura FLAGSHIP PILOT STUDY PRECIPITATION EXTREMES STATISTICAL DOWNSCALING CORDEX |
title_short |
A comparison of statistical downscaling techniques for daily precipitation: results from the CORDEX flagship pilot study in South America |
title_full |
A comparison of statistical downscaling techniques for daily precipitation: results from the CORDEX flagship pilot study in South America |
title_fullStr |
A comparison of statistical downscaling techniques for daily precipitation: results from the CORDEX flagship pilot study in South America |
title_full_unstemmed |
A comparison of statistical downscaling techniques for daily precipitation: results from the CORDEX flagship pilot study in South America |
title_sort |
A comparison of statistical downscaling techniques for daily precipitation: results from the CORDEX flagship pilot study in South America |
dc.creator.none.fl_str_mv |
Bettolli, Maria Laura Gutiérrez Llorente, José Manuel Iturbide, Maialen Baño Medina, Jorge Huth, Radan Solman, Silvina Alicia Fernández, Jesús da Rocha, Rosmeri Porfirio Llopart, Marta Lavín Gullón, Álvaro Coppola, Erika Chou, Sin Chan Doyle, Moira Evelina Olmo, Matías Ezequiel Feijoó, Martín |
author |
Bettolli, Maria Laura |
author_facet |
Bettolli, Maria Laura Gutiérrez Llorente, José Manuel Iturbide, Maialen Baño Medina, Jorge Huth, Radan Solman, Silvina Alicia Fernández, Jesús da Rocha, Rosmeri Porfirio Llopart, Marta Lavín Gullón, Álvaro Coppola, Erika Chou, Sin Chan Doyle, Moira Evelina Olmo, Matías Ezequiel Feijoó, Martín |
author_role |
author |
author2 |
Gutiérrez Llorente, José Manuel Iturbide, Maialen Baño Medina, Jorge Huth, Radan Solman, Silvina Alicia Fernández, Jesús da Rocha, Rosmeri Porfirio Llopart, Marta Lavín Gullón, Álvaro Coppola, Erika Chou, Sin Chan Doyle, Moira Evelina Olmo, Matías Ezequiel Feijoó, Martín |
author2_role |
author author author author author author author author author author author author author author |
dc.subject.none.fl_str_mv |
FLAGSHIP PILOT STUDY PRECIPITATION EXTREMES STATISTICAL DOWNSCALING CORDEX |
topic |
FLAGSHIP PILOT STUDY PRECIPITATION EXTREMES STATISTICAL DOWNSCALING CORDEX |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Southeast South America (SESA) is one of the regions of the planet where extreme precipitation events occur and have high impact on human activities. These extreme events result from the complex interactions of a broad range of scales, therefore their study, modelling and projections in a changing climate continue to be a challenging task. The CORDEX Flagship Pilot Study in South America (FPSSESA) addresses this topic in order to advance in the understanding and modelling of extreme precipitation events based on coordinated experiments using different downscaling approaches. In this work we present the results from the collaborative action to intercompare different statistical downscaling techniques in simulating daily precipitation in SESA with special focus on extremes. To this end, seven statistical downscaling models based on the regression and analog families were evaluated over SESA. The sensitivity to the different predictor and predictand datasets were tested using two reanalyses (ECMWF ERA-Interim and Japanese 55-year Reanalysis JRA-55) and two daily precipitation (station data and MSWEP) datasets. The models were calibrated and cross-validated during the 1979-2009 period and also evaluated in the independent warm season of 2009-2010. This season, with record of extreme precipitation events, is the target season chosen in the FPS-SESA to perform the dynamical downscaling simulations as well, and therefore it allows for comparisons between both approaches. The results show that the methods are more skillful when combined predictors including circulation variables at middle levels and local humidity at low levels of the atmosphere are considered. The performance of the models is also sensitive to reanalysis choice. The methods show overall good performance in simulating daily precipitation characteristics over the region, but no single model performs best over all validation metrics and aspects evaluated. Fil: Bettolli, Maria Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina Fil: Gutiérrez Llorente, José Manuel. Universidad de Cantabria; España Fil: Iturbide, Maialen. Universidad de Cantabria; España Fil: Baño Medina, Jorge. Universidad de Cantabria; España Fil: Huth, Radan. Karlova Univerzita (cuni); República Checa Fil: Solman, Silvina Alicia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina Fil: Fernández, Jesús. Universidad de Cantabria; España Fil: da Rocha, Rosmeri Porfirio. Universidade de Sao Paulo; Brasil Fil: Llopart, Marta. Universidad Estadual de Sao Paulo; Brasil Fil: Lavín Gullón, Álvaro. Universidad de Cantabria; España Fil: Coppola, Erika. The Abdus Salam; Italia Fil: Chou, Sin Chan. Centro de Previsao de Tempo e Estudos Climaticos; Brasil Fil: Doyle, Moira Evelina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina Fil: Olmo, Matías Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina Fil: Feijoó, Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina International Conference on Regional Climate Beijing China World Climate Research Programme Instituto Sueco de Meteorología e Hidrología |
description |
Southeast South America (SESA) is one of the regions of the planet where extreme precipitation events occur and have high impact on human activities. These extreme events result from the complex interactions of a broad range of scales, therefore their study, modelling and projections in a changing climate continue to be a challenging task. The CORDEX Flagship Pilot Study in South America (FPSSESA) addresses this topic in order to advance in the understanding and modelling of extreme precipitation events based on coordinated experiments using different downscaling approaches. In this work we present the results from the collaborative action to intercompare different statistical downscaling techniques in simulating daily precipitation in SESA with special focus on extremes. To this end, seven statistical downscaling models based on the regression and analog families were evaluated over SESA. The sensitivity to the different predictor and predictand datasets were tested using two reanalyses (ECMWF ERA-Interim and Japanese 55-year Reanalysis JRA-55) and two daily precipitation (station data and MSWEP) datasets. The models were calibrated and cross-validated during the 1979-2009 period and also evaluated in the independent warm season of 2009-2010. This season, with record of extreme precipitation events, is the target season chosen in the FPS-SESA to perform the dynamical downscaling simulations as well, and therefore it allows for comparisons between both approaches. The results show that the methods are more skillful when combined predictors including circulation variables at middle levels and local humidity at low levels of the atmosphere are considered. The performance of the models is also sensitive to reanalysis choice. The methods show overall good performance in simulating daily precipitation characteristics over the region, but no single model performs best over all validation metrics and aspects evaluated. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/conferenceObject Conferencia Book http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
status_str |
publishedVersion |
format |
conferenceObject |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/163712 A comparison of statistical downscaling techniques for daily precipitation: results from the CORDEX flagship pilot study in South America; International Conference on Regional Climate; Beijing; China; 2019; 88-88 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/163712 |
identifier_str_mv |
A comparison of statistical downscaling techniques for daily precipitation: results from the CORDEX flagship pilot study in South America; International Conference on Regional Climate; Beijing; China; 2019; 88-88 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://icrc-cordex2019.cordex.org/ |
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info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf |
dc.coverage.none.fl_str_mv |
Internacional |
dc.publisher.none.fl_str_mv |
World Climate Research Programme |
publisher.none.fl_str_mv |
World Climate Research Programme |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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