Evaluation of mesoscale convective systems in South America using multiple satellite products and an object‐based approach

Autores
Demaria, E. M. C.; Rodriguez, D. A.; Ebert, E. E.; Salio, Paola Veronica; Su, F.; Valdes, J. B.
Año de publicación
2011
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this study, an object-based verification method was used to reveal the existence of systematic errors in three satellite precipitation products: Tropical Rainfall Measurement Mission (TRMM), Climate Prediction Center Morphing Technique (CMORPH), and Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks (PERSIANN). Mesoscale convective systems (MCSs) for the austral summer 2002–2003 in the La Plata river basin, southeastern South America, were analyzed with the Contiguous Rain Area (CRA) method. Errors in storms intensity, volume, and spatial location were evaluated. A macroscale hydrological model was used to assess the impact of spatially shifted precipitation on streamflows simulations. PERSIANN underestimated the observed average rainfall rate and maximum rainfall consistent with the detection of storm areas systematically larger than observed. CMORPH overestimated the average rainfall rate while the maximum rainfall was slightly underestimated. TRMM average rainfall rate and rainfall volume correlated extremely well with ground observations whereas the maximum rainfall was systematically overestimated suggesting deficiencies in the bias correction procedure to filter noisy measurements. The preferential direction of error displacement in satellite-estimated MCSs was in the east-west direction for CMORPH and TRMM. Discrepancies in the fine structure of the storms dominated the error decomposition of all satellite products. Errors in the spatial location of the systems influenced the magnitude of simulated peaks but did not have a significant impact on the timing indicating that the system's response to precipitation was mitigating the effect of the errors.
Fil: Demaria, E. M. C.. University Of Arizona; Estados Unidos
Fil: Rodriguez, D. A.. Centro de Previsao de Tempo e Estudos Climaticos. Instituto Nacional de Pesquisas Espaciais; Brasil
Fil: Ebert, E. E.. Centre for Australian Weather and Climate Research; Australia
Fil: Salio, Paola Veronica. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmosfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmosfera; Argentina
Fil: Su, F.. University of Washington; Estados Unidos
Fil: Valdes, J. B.. University Of Arizona; Estados Unidos
Materia
Estimaciones de precipitación
Sistemas convectivos de Mesoescala
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/17330
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/17330
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network_name_str CONICET Digital (CONICET)
spelling Evaluation of mesoscale convective systems in South America using multiple satellite products and an object‐based approachDemaria, E. M. C.Rodriguez, D. A.Ebert, E. E.Salio, Paola VeronicaSu, F.Valdes, J. B.Estimaciones de precipitaciónSistemas convectivos de Mesoescalahttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1In this study, an object-based verification method was used to reveal the existence of systematic errors in three satellite precipitation products: Tropical Rainfall Measurement Mission (TRMM), Climate Prediction Center Morphing Technique (CMORPH), and Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks (PERSIANN). Mesoscale convective systems (MCSs) for the austral summer 2002–2003 in the La Plata river basin, southeastern South America, were analyzed with the Contiguous Rain Area (CRA) method. Errors in storms intensity, volume, and spatial location were evaluated. A macroscale hydrological model was used to assess the impact of spatially shifted precipitation on streamflows simulations. PERSIANN underestimated the observed average rainfall rate and maximum rainfall consistent with the detection of storm areas systematically larger than observed. CMORPH overestimated the average rainfall rate while the maximum rainfall was slightly underestimated. TRMM average rainfall rate and rainfall volume correlated extremely well with ground observations whereas the maximum rainfall was systematically overestimated suggesting deficiencies in the bias correction procedure to filter noisy measurements. The preferential direction of error displacement in satellite-estimated MCSs was in the east-west direction for CMORPH and TRMM. Discrepancies in the fine structure of the storms dominated the error decomposition of all satellite products. Errors in the spatial location of the systems influenced the magnitude of simulated peaks but did not have a significant impact on the timing indicating that the system's response to precipitation was mitigating the effect of the errors.Fil: Demaria, E. M. C.. University Of Arizona; Estados UnidosFil: Rodriguez, D. A.. Centro de Previsao de Tempo e Estudos Climaticos. Instituto Nacional de Pesquisas Espaciais; BrasilFil: Ebert, E. E.. Centre for Australian Weather and Climate Research; AustraliaFil: Salio, Paola Veronica. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmosfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmosfera; ArgentinaFil: Su, F.. University of Washington; Estados UnidosFil: Valdes, J. B.. University Of Arizona; Estados UnidosAmerican Geophysical Union2011-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/17330Demaria, E. M. C.; Rodriguez, D. A.; Ebert, E. E.; Salio, Paola Veronica; Su, F.; et al.; Evaluation of mesoscale convective systems in South America using multiple satellite products and an object‐based approach; American Geophysical Union; Journal Of Geophysical Research; 116; D8; 4-2011; 1-130148-0227enginfo:eu-repo/semantics/altIdentifier/doi/10.1029/2010JD015157info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1029/2010JD015157/abstractinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:02:59Zoai:ri.conicet.gov.ar:11336/17330instacron: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:34982025-09-10 13:03:00.034CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Evaluation of mesoscale convective systems in South America using multiple satellite products and an object‐based approach
title Evaluation of mesoscale convective systems in South America using multiple satellite products and an object‐based approach
spellingShingle Evaluation of mesoscale convective systems in South America using multiple satellite products and an object‐based approach
Demaria, E. M. C.
Estimaciones de precipitación
Sistemas convectivos de Mesoescala
title_short Evaluation of mesoscale convective systems in South America using multiple satellite products and an object‐based approach
title_full Evaluation of mesoscale convective systems in South America using multiple satellite products and an object‐based approach
title_fullStr Evaluation of mesoscale convective systems in South America using multiple satellite products and an object‐based approach
title_full_unstemmed Evaluation of mesoscale convective systems in South America using multiple satellite products and an object‐based approach
title_sort Evaluation of mesoscale convective systems in South America using multiple satellite products and an object‐based approach
dc.creator.none.fl_str_mv Demaria, E. M. C.
Rodriguez, D. A.
Ebert, E. E.
Salio, Paola Veronica
Su, F.
Valdes, J. B.
author Demaria, E. M. C.
author_facet Demaria, E. M. C.
Rodriguez, D. A.
Ebert, E. E.
Salio, Paola Veronica
Su, F.
Valdes, J. B.
author_role author
author2 Rodriguez, D. A.
Ebert, E. E.
Salio, Paola Veronica
Su, F.
Valdes, J. B.
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Estimaciones de precipitación
Sistemas convectivos de Mesoescala
topic Estimaciones de precipitación
Sistemas convectivos de Mesoescala
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In this study, an object-based verification method was used to reveal the existence of systematic errors in three satellite precipitation products: Tropical Rainfall Measurement Mission (TRMM), Climate Prediction Center Morphing Technique (CMORPH), and Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks (PERSIANN). Mesoscale convective systems (MCSs) for the austral summer 2002–2003 in the La Plata river basin, southeastern South America, were analyzed with the Contiguous Rain Area (CRA) method. Errors in storms intensity, volume, and spatial location were evaluated. A macroscale hydrological model was used to assess the impact of spatially shifted precipitation on streamflows simulations. PERSIANN underestimated the observed average rainfall rate and maximum rainfall consistent with the detection of storm areas systematically larger than observed. CMORPH overestimated the average rainfall rate while the maximum rainfall was slightly underestimated. TRMM average rainfall rate and rainfall volume correlated extremely well with ground observations whereas the maximum rainfall was systematically overestimated suggesting deficiencies in the bias correction procedure to filter noisy measurements. The preferential direction of error displacement in satellite-estimated MCSs was in the east-west direction for CMORPH and TRMM. Discrepancies in the fine structure of the storms dominated the error decomposition of all satellite products. Errors in the spatial location of the systems influenced the magnitude of simulated peaks but did not have a significant impact on the timing indicating that the system's response to precipitation was mitigating the effect of the errors.
Fil: Demaria, E. M. C.. University Of Arizona; Estados Unidos
Fil: Rodriguez, D. A.. Centro de Previsao de Tempo e Estudos Climaticos. Instituto Nacional de Pesquisas Espaciais; Brasil
Fil: Ebert, E. E.. Centre for Australian Weather and Climate Research; Australia
Fil: Salio, Paola Veronica. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmosfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmosfera; Argentina
Fil: Su, F.. University of Washington; Estados Unidos
Fil: Valdes, J. B.. University Of Arizona; Estados Unidos
description In this study, an object-based verification method was used to reveal the existence of systematic errors in three satellite precipitation products: Tropical Rainfall Measurement Mission (TRMM), Climate Prediction Center Morphing Technique (CMORPH), and Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks (PERSIANN). Mesoscale convective systems (MCSs) for the austral summer 2002–2003 in the La Plata river basin, southeastern South America, were analyzed with the Contiguous Rain Area (CRA) method. Errors in storms intensity, volume, and spatial location were evaluated. A macroscale hydrological model was used to assess the impact of spatially shifted precipitation on streamflows simulations. PERSIANN underestimated the observed average rainfall rate and maximum rainfall consistent with the detection of storm areas systematically larger than observed. CMORPH overestimated the average rainfall rate while the maximum rainfall was slightly underestimated. TRMM average rainfall rate and rainfall volume correlated extremely well with ground observations whereas the maximum rainfall was systematically overestimated suggesting deficiencies in the bias correction procedure to filter noisy measurements. The preferential direction of error displacement in satellite-estimated MCSs was in the east-west direction for CMORPH and TRMM. Discrepancies in the fine structure of the storms dominated the error decomposition of all satellite products. Errors in the spatial location of the systems influenced the magnitude of simulated peaks but did not have a significant impact on the timing indicating that the system's response to precipitation was mitigating the effect of the errors.
publishDate 2011
dc.date.none.fl_str_mv 2011-04
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/11336/17330
Demaria, E. M. C.; Rodriguez, D. A.; Ebert, E. E.; Salio, Paola Veronica; Su, F.; et al.; Evaluation of mesoscale convective systems in South America using multiple satellite products and an object‐based approach; American Geophysical Union; Journal Of Geophysical Research; 116; D8; 4-2011; 1-13
0148-0227
url http://hdl.handle.net/11336/17330
identifier_str_mv Demaria, E. M. C.; Rodriguez, D. A.; Ebert, E. E.; Salio, Paola Veronica; Su, F.; et al.; Evaluation of mesoscale convective systems in South America using multiple satellite products and an object‐based approach; American Geophysical Union; Journal Of Geophysical Research; 116; D8; 4-2011; 1-13
0148-0227
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1029/2010JD015157
info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1029/2010JD015157/abstract
dc.rights.none.fl_str_mv 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
dc.publisher.none.fl_str_mv American Geophysical Union
publisher.none.fl_str_mv American Geophysical Union
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 12.993085

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