Hydrological modeling of the Peruvian-Ecuadorian Amazon Basin using GPM-IMERG satellite-based precipitation dataset

In the last two decades, rainfall estimates provided by the Tropical Rainfall Measurement Mission (TRMM) have proven applicable in hydrological studies. The Global Precipitation Measurement (GPM) mission, which provides the new generation of rainfall estimates, is now considered a global successor t...

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Detalles Bibliográficos
Autores: Zubieta, R., Getirana, A., Espinoza, J.C., Lavado-Casimiro, W., Aragon, L.
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2017
País:Perú
Institución:Servicio Nacional de Meteorología e Hidrología del Perú
Repositorio:SENAMHI-Institucional
Idioma:inglés
OAI Identifier:oai:repositorio.senamhi.gob.pe:20.500.12542/48
Acceso en línea:http://repositorio.senamhi.gob.pe/handle/20.500.12542/48
https://doi.org/10.5194/hess-21-3543-2017
https://hdl.handle.net/20.500.12542/48
Access Level:acceso abierto
Palabra clave:Hydrology
Rain
Rain gages
Stream flow
Amazonia
Distributed hydrological model
Global precipitation measurement missions
Hydrological modeling
Precipitation data
Rainfall estimates
Satellite retrieval
Tropical rainfall measurement missions
https://purl.org/pe-repo/ocde/ford#1.05.11
precipitacion - Clima y Eventos Naturales
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repository_id_str
dc.title.en_US.fl_str_mv Hydrological modeling of the Peruvian-Ecuadorian Amazon Basin using GPM-IMERG satellite-based precipitation dataset
title Hydrological modeling of the Peruvian-Ecuadorian Amazon Basin using GPM-IMERG satellite-based precipitation dataset
spellingShingle Hydrological modeling of the Peruvian-Ecuadorian Amazon Basin using GPM-IMERG satellite-based precipitation dataset
Zubieta, R.
Hydrology
Rain
Rain gages
Stream flow
Amazonia
Distributed hydrological model
Global precipitation measurement missions
Hydrological modeling
Precipitation data
Rainfall estimates
Satellite retrieval
Tropical rainfall measurement missions
https://purl.org/pe-repo/ocde/ford#1.05.11
precipitacion - Clima y Eventos Naturales
title_short Hydrological modeling of the Peruvian-Ecuadorian Amazon Basin using GPM-IMERG satellite-based precipitation dataset
title_full Hydrological modeling of the Peruvian-Ecuadorian Amazon Basin using GPM-IMERG satellite-based precipitation dataset
title_fullStr Hydrological modeling of the Peruvian-Ecuadorian Amazon Basin using GPM-IMERG satellite-based precipitation dataset
title_full_unstemmed Hydrological modeling of the Peruvian-Ecuadorian Amazon Basin using GPM-IMERG satellite-based precipitation dataset
title_sort Hydrological modeling of the Peruvian-Ecuadorian Amazon Basin using GPM-IMERG satellite-based precipitation dataset
dc.creator.none.fl_str_mv Zubieta, R.
Getirana, A.
Espinoza, J.C.
Lavado-Casimiro, W.
Aragon, L.
author Zubieta, R.
author_facet Zubieta, R.
Getirana, A.
Espinoza, J.C.
Lavado-Casimiro, W.
Aragon, L.
author_role author
author2 Getirana, A.
Espinoza, J.C.
Lavado-Casimiro, W.
Aragon, L.
author2_role author
author
author
author
dc.subject.en_US.fl_str_mv Hydrology
Rain
Rain gages
Stream flow
Amazonia
Distributed hydrological model
Global precipitation measurement missions
Hydrological modeling
Precipitation data
Rainfall estimates
Satellite retrieval
Tropical rainfall measurement missions
topic Hydrology
Rain
Rain gages
Stream flow
Amazonia
Distributed hydrological model
Global precipitation measurement missions
Hydrological modeling
Precipitation data
Rainfall estimates
Satellite retrieval
Tropical rainfall measurement missions
https://purl.org/pe-repo/ocde/ford#1.05.11
precipitacion - Clima y Eventos Naturales
dc.subject.ocde.es_PE.fl_str_mv https://purl.org/pe-repo/ocde/ford#1.05.11
dc.subject.sinia.es_PE.fl_str_mv precipitacion - Clima y Eventos Naturales
description In the last two decades, rainfall estimates provided by the Tropical Rainfall Measurement Mission (TRMM) have proven applicable in hydrological studies. The Global Precipitation Measurement (GPM) mission, which provides the new generation of rainfall estimates, is now considered a global successor to TRMM. The usefulness of GPM data in hydrological applications, however, has not yet been evaluated over the Andean and Amazonian regions. This study uses GPM data provided by the Integrated Multi-satellite Retrievals (IMERG) (product/final run) as input to a distributed hydrological model for the Amazon Basin of Peru and Ecuador for a 16-month period (from March 2014 to June 2015) when all datasets are available. TRMM products (TMPA V7 and TMPA RT datasets) and a gridded precipitation dataset processed from observed rainfall are used for comparison. The results indicate that precipitation data derived from GPM-IMERG correspond more closely to TMPA V7 than TMPA RT datasets, but both GPM-IMERG and TMPA V7 precipitation data tend to overestimate, compared to observed rainfall (by 11.1 and 15.7 %, respectively). In general, GPM-IMERG, TMPA V7 and TMPA RT correlate with observed rainfall, with a similar number of rain events correctly detected (∼ 20 %). Statistical analysis of modeled streamflows indicates that GPM-IMERG is as useful as TMPA V7 or TMPA RT datasets in southern regions (Ucayali Basin). GPM-IMERG, TMPA V7 and TMPA RT do not properly simulate streamflows in northern regions (Marañón and Napo basins), probably because of the lack of adequate rainfall estimates in northern Peru and the Ecuadorian Amazon.
publishDate 2017
dc.date.accessioned.none.fl_str_mv 2019-07-20T02:58:38Z
dc.date.available.none.fl_str_mv 2019-07-20T02:58:38Z
dc.date.issued.fl_str_mv 2017-07
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
dc.type.sinia.es_PE.fl_str_mv text/publicacion cientifica
dc.type.version.none.fl_str_mv info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.uri.none.fl_str_mv http://repositorio.senamhi.gob.pe/handle/20.500.12542/48
dc.identifier.isni.none.fl_str_mv 0000 0001 0746 0446
dc.identifier.doi.none.fl_str_mv https://doi.org/10.5194/hess-21-3543-2017
dc.identifier.url.none.fl_str_mv https://hdl.handle.net/20.500.12542/48
http://repositorio.senamhi.gob.pe/handle/20.500.12542/48
url http://repositorio.senamhi.gob.pe/handle/20.500.12542/48
https://doi.org/10.5194/hess-21-3543-2017
https://hdl.handle.net/20.500.12542/48
identifier_str_mv 0000 0001 0746 0446
dc.language.iso.es_PE.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv urn:issn:1027-5606
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/openAccess
Reconocimiento - No comercial - Compartir igual (CC BY-NC-SA)
dc.rights.uri.es_PE.fl_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv Reconocimiento - No comercial - Compartir igual (CC BY-NC-SA)
https://creativecommons.org/licenses/by-nc-sa/4.0/
dc.format.es_PE.fl_str_mv application/pdf
dc.publisher.es_PE.fl_str_mv Copernicus GmbH
dc.source.es_PE.fl_str_mv Servicio Nacional de Meteorología e Hidrología del Perú
Repositorio Institucional - SENAMHI
dc.source.none.fl_str_mv reponame:SENAMHI-Institucional
instname:Servicio Nacional de Meteorología e Hidrología del Perú
instacron:SENAMHI
instname_str Servicio Nacional de Meteorología e Hidrología del Perú
instacron_str SENAMHI
institution SENAMHI
reponame_str SENAMHI-Institucional
collection SENAMHI-Institucional
dc.source.volume.es_PE.fl_str_mv 21
dc.source.issue.es_PE.fl_str_mv 7
dc.source.initialpage.es_PE.fl_str_mv 3543
dc.source.endpage.es_PE.fl_str_mv 3555
dc.source.journal.es_PE.fl_str_mv Hydrology and Earth System Sciences
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spelling 2019-07-20T02:58:38Z2019-07-20T02:58:38Z2017-07http://repositorio.senamhi.gob.pe/handle/20.500.12542/480000 0001 0746 0446https://doi.org/10.5194/hess-21-3543-2017https://hdl.handle.net/20.500.12542/48http://repositorio.senamhi.gob.pe/handle/20.500.12542/48In the last two decades, rainfall estimates provided by the Tropical Rainfall Measurement Mission (TRMM) have proven applicable in hydrological studies. The Global Precipitation Measurement (GPM) mission, which provides the new generation of rainfall estimates, is now considered a global successor to TRMM. The usefulness of GPM data in hydrological applications, however, has not yet been evaluated over the Andean and Amazonian regions. This study uses GPM data provided by the Integrated Multi-satellite Retrievals (IMERG) (product/final run) as input to a distributed hydrological model for the Amazon Basin of Peru and Ecuador for a 16-month period (from March 2014 to June 2015) when all datasets are available. TRMM products (TMPA V7 and TMPA RT datasets) and a gridded precipitation dataset processed from observed rainfall are used for comparison. The results indicate that precipitation data derived from GPM-IMERG correspond more closely to TMPA V7 than TMPA RT datasets, but both GPM-IMERG and TMPA V7 precipitation data tend to overestimate, compared to observed rainfall (by 11.1 and 15.7 %, respectively). In general, GPM-IMERG, TMPA V7 and TMPA RT correlate with observed rainfall, with a similar number of rain events correctly detected (∼ 20 %). Statistical analysis of modeled streamflows indicates that GPM-IMERG is as useful as TMPA V7 or TMPA RT datasets in southern regions (Ucayali Basin). GPM-IMERG, TMPA V7 and TMPA RT do not properly simulate streamflows in northern regions (Marañón and Napo basins), probably because of the lack of adequate rainfall estimates in northern Peru and the Ecuadorian Amazon.Por paresapplication/pdfengCopernicus GmbHurn:issn:1027-5606info:eu-repo/semantics/openAccessReconocimiento - No comercial - Compartir igual (CC BY-NC-SA)https://creativecommons.org/licenses/by-nc-sa/4.0/Servicio Nacional de Meteorología e Hidrología del PerúRepositorio Institucional - SENAMHI21735433555Hydrology and Earth System Sciencesreponame:SENAMHI-Institucionalinstname:Servicio Nacional de Meteorología e Hidrología del Perúinstacron:SENAMHIHydrologyRainRain gagesStream flowAmazoniaDistributed hydrological modelGlobal precipitation measurement missionsHydrological modelingPrecipitation dataRainfall estimatesSatellite retrievalTropical rainfall measurement missionshttps://purl.org/pe-repo/ocde/ford#1.05.11precipitacion - Clima y Eventos NaturalesHydrological modeling of the Peruvian-Ecuadorian Amazon Basin using GPM-IMERG satellite-based precipitation datasetinfo:eu-repo/semantics/articletext/publicacion cientificainfo:eu-repo/semantics/acceptedVersionZubieta, R.Getirana, A.Espinoza, J.C.Lavado-Casimiro, W.Aragon, L.ORIGINALZubieta-2017-Hydrological.pdfZubieta-2017-Hydrological.pdfapplication/pdf10549036http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/48/1/Zubieta-2017-Hydrological.pdf5e8cefef494ea106a34c0fe515e7ac51MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-81037http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/48/2/license_rdf80294ba9ff4c5b4f07812ee200fbc42fMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/48/3/license.txt8a4605be74aa9ea9d79846c1fba20a33MD53TEXTZubieta-2017-Hydrological.pdf.txtZubieta-2017-Hydrological.pdf.txtExtracted texttext/plain56544http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/48/4/Zubieta-2017-Hydrological.pdf.txtccfc82d7f1e1d265c08d3991e6d377bcMD54THUMBNAILZubieta-2017-Hydrological.pdf.jpgZubieta-2017-Hydrological.pdf.jpgGenerated Thumbnailimage/jpeg8359http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/48/5/Zubieta-2017-Hydrological.pdf.jpg941ee9bd275ca896e36d70f2818f6f3cMD5520.500.12542/48oai:repositorio.senamhi.gob.pe:20.500.12542/482025-10-23 17:05:03.563Repositorio Institucional SENAMHIrepositorio@senamhi.gob.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