Evaluation of high-resolution satellite precipitation estimates over southern South America using a dense rain gauge network

Autores
Salio, Paola Veronica; Hobouchian, Maria Paula; García Skabar, Yanina; Vila, Daniel
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Six different satellite rainfall estimates are evaluated for a 24-hour accumulation period at 12 UTC with a 0.25 degree resolution. The rain gauge data are obtained froma dense inter-institutional station network for December 1, 2008 to November 30, 2010 over South America. The evaluated satellite rainfall products are the Tropical Rainfall Measuring Mission 3B42 V6, V7 and RT, the NOAA/Climate Prediction Center Morphing technique (CMORPH), Hydroestimator (HYDRO) and the Combined Scheme algorithm (CoSch). The validation and intercomparison of these products are focused on southern South America. The performance improves in the ?blended? estimates by including microwave observations and surface observations in the adjustments, i.e., 3B42 V6, V7 and CoSch; however, large overestimations are detectable inCMORPH, principally for extreme values over plains areas. The estimates based on parameters associated with infrared images only (HYDRO) underestimate precipitation south of 20° S and tend to overestimate the warm precipitation to the north. The inclusion of observed precipitation data is convenient from monthly (3B42 V7 and V6) to daily scales (CoSch) and improves the estimates. The estimates that include microwave observations show a strong tendency to overestimate extreme values of precipitation over 70mm. This effect is strongly evident in northern and central Argentina and southern Brazil. A deeper assessment is necessary, particularly over the Central Andes, where effects of topography principally associated with solid precipitation correspond to the persistence of majorly overestimated precipitation.
Fil: Salio, Paola Veronica. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinacion Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina. Instituto Franco-Argentino sobre Estudios de Clima y sus Impactos; Argentina
Fil: Hobouchian, Maria Paula. Ministerio de Defensa. Secretaria de Planeamiento. Servicio Meteorológico Nacional; Argentina
Fil: García Skabar, Yanina. Ministerio de Defensa. Secretaria de Planeamiento. Servicio Meteorológico Nacional; Argentina. Instituto Franco-Argentino sobre Estudios de Clima y sus Impactos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Vila, Daniel. CPTEC-INPE. Divisão de Satélites e Sistemas Ambientais; Brasil
Materia
Estimaciones de Preciitacion
Precipitacion
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/4442
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Evaluation of high-resolution satellite precipitation estimates over southern South America using a dense rain gauge networkSalio, Paola VeronicaHobouchian, Maria PaulaGarcía Skabar, YaninaVila, DanielEstimaciones de PreciitacionPrecipitacionhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Six different satellite rainfall estimates are evaluated for a 24-hour accumulation period at 12 UTC with a 0.25 degree resolution. The rain gauge data are obtained froma dense inter-institutional station network for December 1, 2008 to November 30, 2010 over South America. The evaluated satellite rainfall products are the Tropical Rainfall Measuring Mission 3B42 V6, V7 and RT, the NOAA/Climate Prediction Center Morphing technique (CMORPH), Hydroestimator (HYDRO) and the Combined Scheme algorithm (CoSch). The validation and intercomparison of these products are focused on southern South America. The performance improves in the ?blended? estimates by including microwave observations and surface observations in the adjustments, i.e., 3B42 V6, V7 and CoSch; however, large overestimations are detectable inCMORPH, principally for extreme values over plains areas. The estimates based on parameters associated with infrared images only (HYDRO) underestimate precipitation south of 20° S and tend to overestimate the warm precipitation to the north. The inclusion of observed precipitation data is convenient from monthly (3B42 V7 and V6) to daily scales (CoSch) and improves the estimates. The estimates that include microwave observations show a strong tendency to overestimate extreme values of precipitation over 70mm. This effect is strongly evident in northern and central Argentina and southern Brazil. A deeper assessment is necessary, particularly over the Central Andes, where effects of topography principally associated with solid precipitation correspond to the persistence of majorly overestimated precipitation.Fil: Salio, Paola Veronica. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinacion Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina. Instituto Franco-Argentino sobre Estudios de Clima y sus Impactos; ArgentinaFil: Hobouchian, Maria Paula. Ministerio de Defensa. Secretaria de Planeamiento. Servicio Meteorológico Nacional; ArgentinaFil: García Skabar, Yanina. Ministerio de Defensa. Secretaria de Planeamiento. Servicio Meteorológico Nacional; Argentina. Instituto Franco-Argentino sobre Estudios de Clima y sus Impactos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Vila, Daniel. CPTEC-INPE. Divisão de Satélites e Sistemas Ambientais; BrasilElsevier2014-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/4442Salio, Paola Veronica; Hobouchian, Maria Paula; García Skabar, Yanina; Vila, Daniel; Evaluation of high-resolution satellite precipitation estimates over southern South America using a dense rain gauge network; Elsevier; Atmospheric Research; 163; 11-2014; 146-1610169-8095enginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0169809514004219info:eu-repo/semantics/altIdentifier/doi/10.1016/j.atmosres.2014.11.017info:eu-repo/semantics/altIdentifier/issn/0169-8095info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:01:42Zoai:ri.conicet.gov.ar:11336/4442instacron: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:34982025-09-29 10:01:42.369CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Evaluation of high-resolution satellite precipitation estimates over southern South America using a dense rain gauge network
title Evaluation of high-resolution satellite precipitation estimates over southern South America using a dense rain gauge network
spellingShingle Evaluation of high-resolution satellite precipitation estimates over southern South America using a dense rain gauge network
Salio, Paola Veronica
Estimaciones de Preciitacion
Precipitacion
title_short Evaluation of high-resolution satellite precipitation estimates over southern South America using a dense rain gauge network
title_full Evaluation of high-resolution satellite precipitation estimates over southern South America using a dense rain gauge network
title_fullStr Evaluation of high-resolution satellite precipitation estimates over southern South America using a dense rain gauge network
title_full_unstemmed Evaluation of high-resolution satellite precipitation estimates over southern South America using a dense rain gauge network
title_sort Evaluation of high-resolution satellite precipitation estimates over southern South America using a dense rain gauge network
dc.creator.none.fl_str_mv Salio, Paola Veronica
Hobouchian, Maria Paula
García Skabar, Yanina
Vila, Daniel
author Salio, Paola Veronica
author_facet Salio, Paola Veronica
Hobouchian, Maria Paula
García Skabar, Yanina
Vila, Daniel
author_role author
author2 Hobouchian, Maria Paula
García Skabar, Yanina
Vila, Daniel
author2_role author
author
author
dc.subject.none.fl_str_mv Estimaciones de Preciitacion
Precipitacion
topic Estimaciones de Preciitacion
Precipitacion
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Six different satellite rainfall estimates are evaluated for a 24-hour accumulation period at 12 UTC with a 0.25 degree resolution. The rain gauge data are obtained froma dense inter-institutional station network for December 1, 2008 to November 30, 2010 over South America. The evaluated satellite rainfall products are the Tropical Rainfall Measuring Mission 3B42 V6, V7 and RT, the NOAA/Climate Prediction Center Morphing technique (CMORPH), Hydroestimator (HYDRO) and the Combined Scheme algorithm (CoSch). The validation and intercomparison of these products are focused on southern South America. The performance improves in the ?blended? estimates by including microwave observations and surface observations in the adjustments, i.e., 3B42 V6, V7 and CoSch; however, large overestimations are detectable inCMORPH, principally for extreme values over plains areas. The estimates based on parameters associated with infrared images only (HYDRO) underestimate precipitation south of 20° S and tend to overestimate the warm precipitation to the north. The inclusion of observed precipitation data is convenient from monthly (3B42 V7 and V6) to daily scales (CoSch) and improves the estimates. The estimates that include microwave observations show a strong tendency to overestimate extreme values of precipitation over 70mm. This effect is strongly evident in northern and central Argentina and southern Brazil. A deeper assessment is necessary, particularly over the Central Andes, where effects of topography principally associated with solid precipitation correspond to the persistence of majorly overestimated precipitation.
Fil: Salio, Paola Veronica. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinacion Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina. Instituto Franco-Argentino sobre Estudios de Clima y sus Impactos; Argentina
Fil: Hobouchian, Maria Paula. Ministerio de Defensa. Secretaria de Planeamiento. Servicio Meteorológico Nacional; Argentina
Fil: García Skabar, Yanina. Ministerio de Defensa. Secretaria de Planeamiento. Servicio Meteorológico Nacional; Argentina. Instituto Franco-Argentino sobre Estudios de Clima y sus Impactos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Vila, Daniel. CPTEC-INPE. Divisão de Satélites e Sistemas Ambientais; Brasil
description Six different satellite rainfall estimates are evaluated for a 24-hour accumulation period at 12 UTC with a 0.25 degree resolution. The rain gauge data are obtained froma dense inter-institutional station network for December 1, 2008 to November 30, 2010 over South America. The evaluated satellite rainfall products are the Tropical Rainfall Measuring Mission 3B42 V6, V7 and RT, the NOAA/Climate Prediction Center Morphing technique (CMORPH), Hydroestimator (HYDRO) and the Combined Scheme algorithm (CoSch). The validation and intercomparison of these products are focused on southern South America. The performance improves in the ?blended? estimates by including microwave observations and surface observations in the adjustments, i.e., 3B42 V6, V7 and CoSch; however, large overestimations are detectable inCMORPH, principally for extreme values over plains areas. The estimates based on parameters associated with infrared images only (HYDRO) underestimate precipitation south of 20° S and tend to overestimate the warm precipitation to the north. The inclusion of observed precipitation data is convenient from monthly (3B42 V7 and V6) to daily scales (CoSch) and improves the estimates. The estimates that include microwave observations show a strong tendency to overestimate extreme values of precipitation over 70mm. This effect is strongly evident in northern and central Argentina and southern Brazil. A deeper assessment is necessary, particularly over the Central Andes, where effects of topography principally associated with solid precipitation correspond to the persistence of majorly overestimated precipitation.
publishDate 2014
dc.date.none.fl_str_mv 2014-11
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/11336/4442
Salio, Paola Veronica; Hobouchian, Maria Paula; García Skabar, Yanina; Vila, Daniel; Evaluation of high-resolution satellite precipitation estimates over southern South America using a dense rain gauge network; Elsevier; Atmospheric Research; 163; 11-2014; 146-161
0169-8095
url http://hdl.handle.net/11336/4442
identifier_str_mv Salio, Paola Veronica; Hobouchian, Maria Paula; García Skabar, Yanina; Vila, Daniel; Evaluation of high-resolution satellite precipitation estimates over southern South America using a dense rain gauge network; Elsevier; Atmospheric Research; 163; 11-2014; 146-161
0169-8095
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0169809514004219
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.atmosres.2014.11.017
info:eu-repo/semantics/altIdentifier/issn/0169-8095
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv 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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score 13.070432

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