Global Precipitation Measurment: Methods, Datasets and Applications. Atmospheric Research

Autores
Tapiador, Francisco J.; Turk, F. J.; Petersen, Walt; Hou, Arthur Y.; García Ortega, Eduardo; Machado, Luiz A. T.; Angelis, Carlos F.; Salio, Paola Veronica; Kidd, Chris; Huffman, George J.; de Castro, Manuel
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper explores the many aspects of precipitation measurement that are relevant to providing an accurate global assessment of this important environmental parameter. Methods discussed include ground data, satellite estimates and numerical models. First, the methods for measuring, estimating, and modeling precipitation are discussed. Then, the most relevant datasets gathering precipitation information from those three sources are presented. The third part of the paper illustrates a number of the many applications of those measurements and databases, namely hydropower, data assimilation and validation of Regional Climate Models (RCM). The aim of the paper is to organize the many links and feedbacks between precipitation measurement, estimation and modeling, indicating the uncertainties and limitations of each technique in order to identify areas requiring further attention, and to show the limits within which datasets can be used. Special emphasis is put on the central role of the upcoming Global Precipitation Measurement (GPM) mission in precipitation science.
Fil: Tapiador, Francisco J.. No especifíca;
Fil: Turk, F. J.. California Institute of Technology; Estados Unidos
Fil: Petersen, Walt. No especifíca;
Fil: Hou, Arthur Y.. No especifíca;
Fil: García Ortega, Eduardo. Universidad de León; España
Fil: Machado, Luiz A. T.. No especifíca;
Fil: Angelis, Carlos F.. No especifíca;
Fil: Salio, Paola Veronica. 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: Kidd, Chris. University of Maryland; Estados Unidos
Fil: Huffman, George J.. University of Maryland; Estados Unidos
Fil: de Castro, Manuel. No especifíca;
Materia
Precipitation Regional Climate Models
Global Climate Models
Quantitative Precipitation Estimation
Global Precipitation Measurement
mission
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:11336/270941
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/270941
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Global Precipitation Measurment: Methods, Datasets and Applications. Atmospheric ResearchTapiador, Francisco J.Turk, F. J.Petersen, WaltHou, Arthur Y.García Ortega, EduardoMachado, Luiz A. T.Angelis, Carlos F.Salio, Paola VeronicaKidd, ChrisHuffman, George J.de Castro, ManuelPrecipitation Regional Climate ModelsGlobal Climate ModelsQuantitative Precipitation EstimationGlobal Precipitation Measurementmissionhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1This paper explores the many aspects of precipitation measurement that are relevant to providing an accurate global assessment of this important environmental parameter. Methods discussed include ground data, satellite estimates and numerical models. First, the methods for measuring, estimating, and modeling precipitation are discussed. Then, the most relevant datasets gathering precipitation information from those three sources are presented. The third part of the paper illustrates a number of the many applications of those measurements and databases, namely hydropower, data assimilation and validation of Regional Climate Models (RCM). The aim of the paper is to organize the many links and feedbacks between precipitation measurement, estimation and modeling, indicating the uncertainties and limitations of each technique in order to identify areas requiring further attention, and to show the limits within which datasets can be used. Special emphasis is put on the central role of the upcoming Global Precipitation Measurement (GPM) mission in precipitation science.Fil: Tapiador, Francisco J.. No especifíca;Fil: Turk, F. J.. California Institute of Technology; Estados UnidosFil: Petersen, Walt. No especifíca;Fil: Hou, Arthur Y.. No especifíca;Fil: García Ortega, Eduardo. Universidad de León; EspañaFil: Machado, Luiz A. T.. No especifíca;Fil: Angelis, Carlos F.. No especifíca;Fil: Salio, Paola Veronica. 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: Kidd, Chris. University of Maryland; Estados UnidosFil: Huffman, George J.. University of Maryland; Estados UnidosFil: de Castro, Manuel. No especifíca;Elsevier Science Inc.2012-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/270941Tapiador, Francisco J.; Turk, F. J.; Petersen, Walt; Hou, Arthur Y.; García Ortega, Eduardo; et al.; Global Precipitation Measurment: Methods, Datasets and Applications. Atmospheric Research; Elsevier Science Inc.; Atmospheric Research; 104; 10-2012; 1-280169-8095CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0169809511003607info:eu-repo/semantics/altIdentifier/doi/10.1016/j.atmosres.2011.10.021info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:33:04Zoai:ri.conicet.gov.ar:11336/270941instacron: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 09:33:05.201CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Global Precipitation Measurment: Methods, Datasets and Applications. Atmospheric Research
title Global Precipitation Measurment: Methods, Datasets and Applications. Atmospheric Research
spellingShingle Global Precipitation Measurment: Methods, Datasets and Applications. Atmospheric Research
Tapiador, Francisco J.
Precipitation Regional Climate Models
Global Climate Models
Quantitative Precipitation Estimation
Global Precipitation Measurement
mission
title_short Global Precipitation Measurment: Methods, Datasets and Applications. Atmospheric Research
title_full Global Precipitation Measurment: Methods, Datasets and Applications. Atmospheric Research
title_fullStr Global Precipitation Measurment: Methods, Datasets and Applications. Atmospheric Research
title_full_unstemmed Global Precipitation Measurment: Methods, Datasets and Applications. Atmospheric Research
title_sort Global Precipitation Measurment: Methods, Datasets and Applications. Atmospheric Research
dc.creator.none.fl_str_mv Tapiador, Francisco J.
Turk, F. J.
Petersen, Walt
Hou, Arthur Y.
García Ortega, Eduardo
Machado, Luiz A. T.
Angelis, Carlos F.
Salio, Paola Veronica
Kidd, Chris
Huffman, George J.
de Castro, Manuel
author Tapiador, Francisco J.
author_facet Tapiador, Francisco J.
Turk, F. J.
Petersen, Walt
Hou, Arthur Y.
García Ortega, Eduardo
Machado, Luiz A. T.
Angelis, Carlos F.
Salio, Paola Veronica
Kidd, Chris
Huffman, George J.
de Castro, Manuel
author_role author
author2 Turk, F. J.
Petersen, Walt
Hou, Arthur Y.
García Ortega, Eduardo
Machado, Luiz A. T.
Angelis, Carlos F.
Salio, Paola Veronica
Kidd, Chris
Huffman, George J.
de Castro, Manuel
author2_role author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Precipitation Regional Climate Models
Global Climate Models
Quantitative Precipitation Estimation
Global Precipitation Measurement
mission
topic Precipitation Regional Climate Models
Global Climate Models
Quantitative Precipitation Estimation
Global Precipitation Measurement
mission
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv This paper explores the many aspects of precipitation measurement that are relevant to providing an accurate global assessment of this important environmental parameter. Methods discussed include ground data, satellite estimates and numerical models. First, the methods for measuring, estimating, and modeling precipitation are discussed. Then, the most relevant datasets gathering precipitation information from those three sources are presented. The third part of the paper illustrates a number of the many applications of those measurements and databases, namely hydropower, data assimilation and validation of Regional Climate Models (RCM). The aim of the paper is to organize the many links and feedbacks between precipitation measurement, estimation and modeling, indicating the uncertainties and limitations of each technique in order to identify areas requiring further attention, and to show the limits within which datasets can be used. Special emphasis is put on the central role of the upcoming Global Precipitation Measurement (GPM) mission in precipitation science.
Fil: Tapiador, Francisco J.. No especifíca;
Fil: Turk, F. J.. California Institute of Technology; Estados Unidos
Fil: Petersen, Walt. No especifíca;
Fil: Hou, Arthur Y.. No especifíca;
Fil: García Ortega, Eduardo. Universidad de León; España
Fil: Machado, Luiz A. T.. No especifíca;
Fil: Angelis, Carlos F.. No especifíca;
Fil: Salio, Paola Veronica. 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: Kidd, Chris. University of Maryland; Estados Unidos
Fil: Huffman, George J.. University of Maryland; Estados Unidos
Fil: de Castro, Manuel. No especifíca;
description This paper explores the many aspects of precipitation measurement that are relevant to providing an accurate global assessment of this important environmental parameter. Methods discussed include ground data, satellite estimates and numerical models. First, the methods for measuring, estimating, and modeling precipitation are discussed. Then, the most relevant datasets gathering precipitation information from those three sources are presented. The third part of the paper illustrates a number of the many applications of those measurements and databases, namely hydropower, data assimilation and validation of Regional Climate Models (RCM). The aim of the paper is to organize the many links and feedbacks between precipitation measurement, estimation and modeling, indicating the uncertainties and limitations of each technique in order to identify areas requiring further attention, and to show the limits within which datasets can be used. Special emphasis is put on the central role of the upcoming Global Precipitation Measurement (GPM) mission in precipitation science.
publishDate 2012
dc.date.none.fl_str_mv 2012-10
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/11336/270941
Tapiador, Francisco J.; Turk, F. J.; Petersen, Walt; Hou, Arthur Y.; García Ortega, Eduardo; et al.; Global Precipitation Measurment: Methods, Datasets and Applications. Atmospheric Research; Elsevier Science Inc.; Atmospheric Research; 104; 10-2012; 1-28
0169-8095
CONICET Digital
CONICET
url http://hdl.handle.net/11336/270941
identifier_str_mv Tapiador, Francisco J.; Turk, F. J.; Petersen, Walt; Hou, Arthur Y.; García Ortega, Eduardo; et al.; Global Precipitation Measurment: Methods, Datasets and Applications. Atmospheric Research; Elsevier Science Inc.; Atmospheric Research; 104; 10-2012; 1-28
0169-8095
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://www.sciencedirect.com/science/article/abs/pii/S0169809511003607
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.atmosres.2011.10.021
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 Elsevier Science Inc.
publisher.none.fl_str_mv Elsevier Science Inc.
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
_version_ 1844613013914517504
score 13.069144

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