Downscaling extreme month-long anomalies in southern South America

Autores
Menéndez, C.G.; de Castro, M.; Boulanger, J.-P.; D'Onofrio, A.; Sanchez, E.; Sörensson, A.A.; Blazquez, J.; Elizalde, A.; Jacob, D.; Le Treut, H.; Li, Z.X.; Núñez, M.N.; Pessacg, N.; Pfeiffer, S.; Rojas, M.; Rolla, A.; Samuelsson, P.; Solman, S.A.; Teichmann, C.
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We investigate the performance of one stretched-grid atmospheric global model, five different regional climate models and a statistical downscaling technique in simulating 3 months (January 1971, November 1986, July 1996) characterized by anomalous climate conditions in the southern La Plata Basin. Models were driven by reanalysis (ERA-40). The analysis has emphasized on the simulation of the precipitation over land and has provided a quantification of the biases of and scatter between the different regional simulations. Most but not all dynamical models underpredict precipitation amounts in south eastern South America during the three periods. Results suggest that models have regime dependence, performing better for some conditions than others. The models' ensemble and the statistical technique succeed in reproducing the overall observed frequency of daily precipitation for all periods. But most models tend to underestimate the frequency of dry days and overestimate the amount of light rainfall days. The number of events with strong or heavy precipitation tends to be under simulated by the models. © The Author(s) 2009.
Fil:Menéndez, C.G. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:D'Onofrio, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Sörensson, A.A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Blazquez, J. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Núñez, M.N. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Pessacg, N. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Rolla, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Solman, S.A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fuente
Clim. Change 2010;98(3):379-403
Materia
Anomalous climate
Down-scaling
Dynamical model
Global models
Heavy precipitation
La Plata basin
Reanalysis
Regional climate models
South America
Statistical downscaling
Statistical techniques
Climate change
Climate models
climate modeling
downscaling
precipitation (climatology)
regional climate
simulation
spatiotemporal analysis
La Plata Basin
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/2.5/ar
Repositorio
Biblioteca Digital (UBA-FCEN)
Institución
Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
OAI Identificador
paperaa:paper_01650009_v98_n3_p379_Menendez
Acceder
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oai_identifier_str paperaa:paper_01650009_v98_n3_p379_Menendez
network_acronym_str BDUBAFCEN
repository_id_str 1896
network_name_str Biblioteca Digital (UBA-FCEN)
spelling Downscaling extreme month-long anomalies in southern South AmericaMenéndez, C.G.de Castro, M.Boulanger, J.-P.D'Onofrio, A.Sanchez, E.Sörensson, A.A.Blazquez, J.Elizalde, A.Jacob, D.Le Treut, H.Li, Z.X.Núñez, M.N.Pessacg, N.Pfeiffer, S.Rojas, M.Rolla, A.Samuelsson, P.Solman, S.A.Teichmann, C.Anomalous climateDown-scalingDynamical modelGlobal modelsHeavy precipitationLa Plata basinReanalysisRegional climate modelsSouth AmericaStatistical downscalingStatistical techniquesClimate changeClimate modelsclimate modelingdownscalingprecipitation (climatology)regional climatesimulationspatiotemporal analysisLa Plata BasinWe investigate the performance of one stretched-grid atmospheric global model, five different regional climate models and a statistical downscaling technique in simulating 3 months (January 1971, November 1986, July 1996) characterized by anomalous climate conditions in the southern La Plata Basin. Models were driven by reanalysis (ERA-40). The analysis has emphasized on the simulation of the precipitation over land and has provided a quantification of the biases of and scatter between the different regional simulations. Most but not all dynamical models underpredict precipitation amounts in south eastern South America during the three periods. Results suggest that models have regime dependence, performing better for some conditions than others. The models' ensemble and the statistical technique succeed in reproducing the overall observed frequency of daily precipitation for all periods. But most models tend to underestimate the frequency of dry days and overestimate the amount of light rainfall days. The number of events with strong or heavy precipitation tends to be under simulated by the models. © The Author(s) 2009.Fil:Menéndez, C.G. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.Fil:D'Onofrio, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.Fil:Sörensson, A.A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.Fil:Blazquez, J. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.Fil:Núñez, M.N. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.Fil:Pessacg, N. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.Fil:Rolla, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.Fil:Solman, S.A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.2010info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12110/paper_01650009_v98_n3_p379_MenendezClim. Change 2010;98(3):379-403reponame:Biblioteca Digital (UBA-FCEN)instname:Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturalesinstacron:UBA-FCENenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/2.5/ar2025-09-11T10:21:17Zpaperaa:paper_01650009_v98_n3_p379_MenendezInstitucionalhttps://digital.bl.fcen.uba.ar/Universidad públicaNo correspondehttps://digital.bl.fcen.uba.ar/cgi-bin/oaiserver.cgiana@bl.fcen.uba.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:18962025-09-11 10:21:18.967Biblioteca Digital (UBA-FCEN) - Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturalesfalse
dc.title.none.fl_str_mv Downscaling extreme month-long anomalies in southern South America
title Downscaling extreme month-long anomalies in southern South America
spellingShingle Downscaling extreme month-long anomalies in southern South America
Menéndez, C.G.
Anomalous climate
Down-scaling
Dynamical model
Global models
Heavy precipitation
La Plata basin
Reanalysis
Regional climate models
South America
Statistical downscaling
Statistical techniques
Climate change
Climate models
climate modeling
downscaling
precipitation (climatology)
regional climate
simulation
spatiotemporal analysis
La Plata Basin
title_short Downscaling extreme month-long anomalies in southern South America
title_full Downscaling extreme month-long anomalies in southern South America
title_fullStr Downscaling extreme month-long anomalies in southern South America
title_full_unstemmed Downscaling extreme month-long anomalies in southern South America
title_sort Downscaling extreme month-long anomalies in southern South America
dc.creator.none.fl_str_mv Menéndez, C.G.
de Castro, M.
Boulanger, J.-P.
D'Onofrio, A.
Sanchez, E.
Sörensson, A.A.
Blazquez, J.
Elizalde, A.
Jacob, D.
Le Treut, H.
Li, Z.X.
Núñez, M.N.
Pessacg, N.
Pfeiffer, S.
Rojas, M.
Rolla, A.
Samuelsson, P.
Solman, S.A.
Teichmann, C.
author Menéndez, C.G.
author_facet Menéndez, C.G.
de Castro, M.
Boulanger, J.-P.
D'Onofrio, A.
Sanchez, E.
Sörensson, A.A.
Blazquez, J.
Elizalde, A.
Jacob, D.
Le Treut, H.
Li, Z.X.
Núñez, M.N.
Pessacg, N.
Pfeiffer, S.
Rojas, M.
Rolla, A.
Samuelsson, P.
Solman, S.A.
Teichmann, C.
author_role author
author2 de Castro, M.
Boulanger, J.-P.
D'Onofrio, A.
Sanchez, E.
Sörensson, A.A.
Blazquez, J.
Elizalde, A.
Jacob, D.
Le Treut, H.
Li, Z.X.
Núñez, M.N.
Pessacg, N.
Pfeiffer, S.
Rojas, M.
Rolla, A.
Samuelsson, P.
Solman, S.A.
Teichmann, C.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Anomalous climate
Down-scaling
Dynamical model
Global models
Heavy precipitation
La Plata basin
Reanalysis
Regional climate models
South America
Statistical downscaling
Statistical techniques
Climate change
Climate models
climate modeling
downscaling
precipitation (climatology)
regional climate
simulation
spatiotemporal analysis
La Plata Basin
topic Anomalous climate
Down-scaling
Dynamical model
Global models
Heavy precipitation
La Plata basin
Reanalysis
Regional climate models
South America
Statistical downscaling
Statistical techniques
Climate change
Climate models
climate modeling
downscaling
precipitation (climatology)
regional climate
simulation
spatiotemporal analysis
La Plata Basin
dc.description.none.fl_txt_mv We investigate the performance of one stretched-grid atmospheric global model, five different regional climate models and a statistical downscaling technique in simulating 3 months (January 1971, November 1986, July 1996) characterized by anomalous climate conditions in the southern La Plata Basin. Models were driven by reanalysis (ERA-40). The analysis has emphasized on the simulation of the precipitation over land and has provided a quantification of the biases of and scatter between the different regional simulations. Most but not all dynamical models underpredict precipitation amounts in south eastern South America during the three periods. Results suggest that models have regime dependence, performing better for some conditions than others. The models' ensemble and the statistical technique succeed in reproducing the overall observed frequency of daily precipitation for all periods. But most models tend to underestimate the frequency of dry days and overestimate the amount of light rainfall days. The number of events with strong or heavy precipitation tends to be under simulated by the models. © The Author(s) 2009.
Fil:Menéndez, C.G. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:D'Onofrio, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Sörensson, A.A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Blazquez, J. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Núñez, M.N. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Pessacg, N. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Rolla, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Solman, S.A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
description We investigate the performance of one stretched-grid atmospheric global model, five different regional climate models and a statistical downscaling technique in simulating 3 months (January 1971, November 1986, July 1996) characterized by anomalous climate conditions in the southern La Plata Basin. Models were driven by reanalysis (ERA-40). The analysis has emphasized on the simulation of the precipitation over land and has provided a quantification of the biases of and scatter between the different regional simulations. Most but not all dynamical models underpredict precipitation amounts in south eastern South America during the three periods. Results suggest that models have regime dependence, performing better for some conditions than others. The models' ensemble and the statistical technique succeed in reproducing the overall observed frequency of daily precipitation for all periods. But most models tend to underestimate the frequency of dry days and overestimate the amount of light rainfall days. The number of events with strong or heavy precipitation tends to be under simulated by the models. © The Author(s) 2009.
publishDate 2010
dc.date.none.fl_str_mv 2010
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12110/paper_01650009_v98_n3_p379_Menendez
url http://hdl.handle.net/20.500.12110/paper_01650009_v98_n3_p379_Menendez
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/2.5/ar
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/2.5/ar
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Clim. Change 2010;98(3):379-403
reponame:Biblioteca Digital (UBA-FCEN)
instname:Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
instacron:UBA-FCEN
reponame_str Biblioteca Digital (UBA-FCEN)
collection Biblioteca Digital (UBA-FCEN)
instname_str Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
instacron_str UBA-FCEN
institution UBA-FCEN
repository.name.fl_str_mv Biblioteca Digital (UBA-FCEN) - Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
repository.mail.fl_str_mv ana@bl.fcen.uba.ar
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score 12.993085

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