Construction of a daily precipitation grid for southeastern South America for the period 1961-2000

Autores
Jones, P.D.; Lister, D.H.; Harpham, C.; Rusticucci, M.; Penalba, O.
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Daily station precipitation totals are used to develop a gridded dataset for the region (14°-40°S, 45°-70°W) on a 0.5° × 0.5° latitude/longitude grid, primarily for comparison with regional climate model (RCM) simulations. The gridded dataset covers the period 1961-2000. Much of the paper discusses the quality control of the basic station precipitation series. Although the primary aim of the development has been RCM validation, we have assessed trends in seasonal precipitation totals as well as trends in two measures of precipitation extremes (R95p, the daily precipitation amount exceeded only 5% of the time and Rx5day, the maximum 5-d precipitation total during each season). Relatively few regions across the large domain have statistically significant trends, but those that do tend to be located in the eastern two thirds of the grid, particularly over southeastern Brazil and Uruguay. Significant trends are also more evident in the DJF and MAM seasons. There is good spatial agreement between the trends in seasonal totals and trends in the extreme indices. © 2012 Royal Meteorological Society.
Fil:Rusticucci, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Penalba, O. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fuente
Int. J. Climatol. 2013;33(11):2508-2519
Materia
Gridding
Precipitation
South America
Daily precipitations
Gridding
Precipitation extremes
Regional climate modeling (RCM)
Seasonal precipitations
South America
Southeastern Brazil
Southeastern South America
Climatology
Precipitation (chemical)
Earth atmosphere
climate modeling
computer simulation
data set
extreme event
historical perspective
model validation
precipitation (climatology)
regional climate
seasonal variation
trend analysis
Brazil
Uruguay
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_08998418_v33_n11_p2508_Jones

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network_name_str Biblioteca Digital (UBA-FCEN)
spelling Construction of a daily precipitation grid for southeastern South America for the period 1961-2000Jones, P.D.Lister, D.H.Harpham, C.Rusticucci, M.Penalba, O.GriddingPrecipitationSouth AmericaDaily precipitationsGriddingPrecipitation extremesRegional climate modeling (RCM)Seasonal precipitationsSouth AmericaSoutheastern BrazilSoutheastern South AmericaClimatologyPrecipitation (chemical)Earth atmosphereclimate modelingcomputer simulationdata setextreme eventhistorical perspectivemodel validationprecipitation (climatology)regional climateseasonal variationtrend analysisBrazilUruguayDaily station precipitation totals are used to develop a gridded dataset for the region (14°-40°S, 45°-70°W) on a 0.5° × 0.5° latitude/longitude grid, primarily for comparison with regional climate model (RCM) simulations. The gridded dataset covers the period 1961-2000. Much of the paper discusses the quality control of the basic station precipitation series. Although the primary aim of the development has been RCM validation, we have assessed trends in seasonal precipitation totals as well as trends in two measures of precipitation extremes (R95p, the daily precipitation amount exceeded only 5% of the time and Rx5day, the maximum 5-d precipitation total during each season). Relatively few regions across the large domain have statistically significant trends, but those that do tend to be located in the eastern two thirds of the grid, particularly over southeastern Brazil and Uruguay. Significant trends are also more evident in the DJF and MAM seasons. There is good spatial agreement between the trends in seasonal totals and trends in the extreme indices. © 2012 Royal Meteorological Society.Fil:Rusticucci, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.Fil:Penalba, O. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.2013info: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_08998418_v33_n11_p2508_JonesInt. J. Climatol. 2013;33(11):2508-2519reponame: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/ar2025-09-04T09:48:20Zpaperaa:paper_08998418_v33_n11_p2508_JonesInstitucionalhttps://digital.bl.fcen.uba.ar/Universidad públicaNo correspondehttps://digital.bl.fcen.uba.ar/cgi-bin/oaiserver.cgiana@bl.fcen.uba.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:18962025-09-04 09:48:22.377Biblioteca Digital (UBA-FCEN) - Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturalesfalse
dc.title.none.fl_str_mv Construction of a daily precipitation grid for southeastern South America for the period 1961-2000
title Construction of a daily precipitation grid for southeastern South America for the period 1961-2000
spellingShingle Construction of a daily precipitation grid for southeastern South America for the period 1961-2000
Jones, P.D.
Gridding
Precipitation
South America
Daily precipitations
Gridding
Precipitation extremes
Regional climate modeling (RCM)
Seasonal precipitations
South America
Southeastern Brazil
Southeastern South America
Climatology
Precipitation (chemical)
Earth atmosphere
climate modeling
computer simulation
data set
extreme event
historical perspective
model validation
precipitation (climatology)
regional climate
seasonal variation
trend analysis
Brazil
Uruguay
title_short Construction of a daily precipitation grid for southeastern South America for the period 1961-2000
title_full Construction of a daily precipitation grid for southeastern South America for the period 1961-2000
title_fullStr Construction of a daily precipitation grid for southeastern South America for the period 1961-2000
title_full_unstemmed Construction of a daily precipitation grid for southeastern South America for the period 1961-2000
title_sort Construction of a daily precipitation grid for southeastern South America for the period 1961-2000
dc.creator.none.fl_str_mv Jones, P.D.
Lister, D.H.
Harpham, C.
Rusticucci, M.
Penalba, O.
author Jones, P.D.
author_facet Jones, P.D.
Lister, D.H.
Harpham, C.
Rusticucci, M.
Penalba, O.
author_role author
author2 Lister, D.H.
Harpham, C.
Rusticucci, M.
Penalba, O.
author2_role author
author
author
author
dc.subject.none.fl_str_mv Gridding
Precipitation
South America
Daily precipitations
Gridding
Precipitation extremes
Regional climate modeling (RCM)
Seasonal precipitations
South America
Southeastern Brazil
Southeastern South America
Climatology
Precipitation (chemical)
Earth atmosphere
climate modeling
computer simulation
data set
extreme event
historical perspective
model validation
precipitation (climatology)
regional climate
seasonal variation
trend analysis
Brazil
Uruguay
topic Gridding
Precipitation
South America
Daily precipitations
Gridding
Precipitation extremes
Regional climate modeling (RCM)
Seasonal precipitations
South America
Southeastern Brazil
Southeastern South America
Climatology
Precipitation (chemical)
Earth atmosphere
climate modeling
computer simulation
data set
extreme event
historical perspective
model validation
precipitation (climatology)
regional climate
seasonal variation
trend analysis
Brazil
Uruguay
dc.description.none.fl_txt_mv Daily station precipitation totals are used to develop a gridded dataset for the region (14°-40°S, 45°-70°W) on a 0.5° × 0.5° latitude/longitude grid, primarily for comparison with regional climate model (RCM) simulations. The gridded dataset covers the period 1961-2000. Much of the paper discusses the quality control of the basic station precipitation series. Although the primary aim of the development has been RCM validation, we have assessed trends in seasonal precipitation totals as well as trends in two measures of precipitation extremes (R95p, the daily precipitation amount exceeded only 5% of the time and Rx5day, the maximum 5-d precipitation total during each season). Relatively few regions across the large domain have statistically significant trends, but those that do tend to be located in the eastern two thirds of the grid, particularly over southeastern Brazil and Uruguay. Significant trends are also more evident in the DJF and MAM seasons. There is good spatial agreement between the trends in seasonal totals and trends in the extreme indices. © 2012 Royal Meteorological Society.
Fil:Rusticucci, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Penalba, O. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
description Daily station precipitation totals are used to develop a gridded dataset for the region (14°-40°S, 45°-70°W) on a 0.5° × 0.5° latitude/longitude grid, primarily for comparison with regional climate model (RCM) simulations. The gridded dataset covers the period 1961-2000. Much of the paper discusses the quality control of the basic station precipitation series. Although the primary aim of the development has been RCM validation, we have assessed trends in seasonal precipitation totals as well as trends in two measures of precipitation extremes (R95p, the daily precipitation amount exceeded only 5% of the time and Rx5day, the maximum 5-d precipitation total during each season). Relatively few regions across the large domain have statistically significant trends, but those that do tend to be located in the eastern two thirds of the grid, particularly over southeastern Brazil and Uruguay. Significant trends are also more evident in the DJF and MAM seasons. There is good spatial agreement between the trends in seasonal totals and trends in the extreme indices. © 2012 Royal Meteorological Society.
publishDate 2013
dc.date.none.fl_str_mv 2013
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_08998418_v33_n11_p2508_Jones
url http://hdl.handle.net/20.500.12110/paper_08998418_v33_n11_p2508_Jones
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 Int. J. Climatol. 2013;33(11):2508-2519
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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