Updating regionalization of precipitation in Ecuador

This article identifies homogeneous precipitation regions in Ecuador and their relationship to the El Niño-Southern Oscillation (ENSO), using monthly records from 215 rain stations for the 1968–2014 period. A k-means clustering analysis was used to divide the study area into k regions based on month...

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Detalles Bibliográficos
Autores: Ilbay-Yupa, Mercy, Lavado-Casimiro, W., Rau, Pedro, Zubieta, Ricardo, Castillón, Fiorela
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2021
País:Perú
Institución:Servicio Nacional de Meteorología e Hidrología del Perú
Repositorio:SENAMHI-Institucional
Idioma:inglés
OAI Identifier:oai:repositorio.senamhi.gob.pe:20.500.12542/799
Acceso en línea:https://hdl.handle.net/20.500.12542/799
Access Level:acceso abierto
Palabra clave:Precipitación
Amazonia
ENSO
Lluvia
Zona Climática
Factor Climático
https://purl.org/pe-repo/ocde/ford#1.05.10
precipitacion - Clima y Eventos Naturales
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network_acronym_str PE
network_name_str Perú
repository_id_str
dc.title.es_PE.fl_str_mv Updating regionalization of precipitation in Ecuador
title Updating regionalization of precipitation in Ecuador
spellingShingle Updating regionalization of precipitation in Ecuador
Ilbay-Yupa, Mercy
Precipitación
Amazonia
ENSO
Lluvia
Zona Climática
Factor Climático
https://purl.org/pe-repo/ocde/ford#1.05.10
precipitacion - Clima y Eventos Naturales
title_short Updating regionalization of precipitation in Ecuador
title_full Updating regionalization of precipitation in Ecuador
title_fullStr Updating regionalization of precipitation in Ecuador
title_full_unstemmed Updating regionalization of precipitation in Ecuador
title_sort Updating regionalization of precipitation in Ecuador
dc.creator.none.fl_str_mv Ilbay-Yupa, Mercy
Lavado-Casimiro, W.
Rau, Pedro
Zubieta, Ricardo
Castillón, Fiorela
author Ilbay-Yupa, Mercy
author_facet Ilbay-Yupa, Mercy
Lavado-Casimiro, W.
Rau, Pedro
Zubieta, Ricardo
Castillón, Fiorela
author_role author
author2 Lavado-Casimiro, W.
Rau, Pedro
Zubieta, Ricardo
Castillón, Fiorela
author2_role author
author
author
author
dc.subject.es_PE.fl_str_mv Precipitación
Amazonia
ENSO
Lluvia
Zona Climática
Factor Climático
topic Precipitación
Amazonia
ENSO
Lluvia
Zona Climática
Factor Climático
https://purl.org/pe-repo/ocde/ford#1.05.10
precipitacion - Clima y Eventos Naturales
dc.subject.ocde.es_PE.fl_str_mv https://purl.org/pe-repo/ocde/ford#1.05.10
dc.subject.sinia.es_PE.fl_str_mv precipitacion - Clima y Eventos Naturales
description This article identifies homogeneous precipitation regions in Ecuador and their relationship to the El Niño-Southern Oscillation (ENSO), using monthly records from 215 rain stations for the 1968–2014 period. A k-means clustering analysis was used to divide the study area into k regions based on monthly and annual precipitation variables and geographic location (latitude, longitude, and altitude). The robustness of each cluster was evaluated using the “silhouette” coefficient. The groupings were then validated using the regional vector method (RVM). Twenty-two regions of homogeneous precipitation were identified. Seven regions are related to regional climate processes on the Pacific coast (unimodal precipitation). Two regions in the western foothills of the Andes show significant orographic rainfall. Eight regions in the inter-Andean region present a bimodal precipitation regime characterized by a reduction of precipitation from north to south and local variability. Five regions were identified in the Amazon area: three on the outer flanks of the eastern mountain range, one sub-Andean area, and one in the Amazon plain with regular rainfall throughout the year, influenced by the Amazon basin. Although Tropical Pacific sea surface temperature (SST) is strongly related to precipitation in the coastal regions of Ecuador, our findings indicate that SST influence varies among the regions of the country because Ecuador is influenced by the modes of precipitation variability in Colombia and Peru.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2021-03-11T00:07:54Z
dc.date.available.none.fl_str_mv 2021-03-11T00:07:54Z
dc.date.issued.fl_str_mv 2021-01-07
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 https://hdl.handle.net/20.500.12542/799
dc.identifier.journal.es_PE.fl_str_mv Theoretical and Applied Climatology
dc.identifier.journal.none.fl_str_mv Theoretical and Applied Climatology
dc.identifier.url.none.fl_str_mv https://hdl.handle.net/20.500.12542/799
https://hdl.handle.net/20.500.12542/799
url https://hdl.handle.net/20.500.12542/799
identifier_str_mv Theoretical and Applied Climatology
dc.language.iso.es_PE.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv urn:issn:1434-4483
dc.relation.uri.es_PE.fl_str_mv https://link.springer.com/article/10.1007%2Fs00704-020-03476-x
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/openAccess
Reconocimiento - No comercial - Sin obra derivada (CC BY-NC-ND)
dc.rights.uri.es_PE.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv Reconocimiento - No comercial - Sin obra derivada (CC BY-NC-ND)
https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.format.es_PE.fl_str_mv application/html
dc.coverage.spatial.none.fl_str_mv Ecuador
dc.publisher.es_PE.fl_str_mv Springer
dc.source.es_PE.fl_str_mv Repositorio Institucional - SENAMHI
Servicio Nacional de Meteorología e Hidrología del Perú
dc.source.none.fl_str_mv reponame:SENAMHI-Institucional
instname:Servicio Nacional de Meteorología e Hidrología del Perú
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spelling Ecuador2021-03-11T00:07:54Z2021-03-11T00:07:54Z2021-01-07https://hdl.handle.net/20.500.12542/799Theoretical and Applied ClimatologyTheoretical and Applied Climatologyhttps://hdl.handle.net/20.500.12542/799https://hdl.handle.net/20.500.12542/799This article identifies homogeneous precipitation regions in Ecuador and their relationship to the El Niño-Southern Oscillation (ENSO), using monthly records from 215 rain stations for the 1968–2014 period. A k-means clustering analysis was used to divide the study area into k regions based on monthly and annual precipitation variables and geographic location (latitude, longitude, and altitude). The robustness of each cluster was evaluated using the “silhouette” coefficient. The groupings were then validated using the regional vector method (RVM). Twenty-two regions of homogeneous precipitation were identified. Seven regions are related to regional climate processes on the Pacific coast (unimodal precipitation). Two regions in the western foothills of the Andes show significant orographic rainfall. Eight regions in the inter-Andean region present a bimodal precipitation regime characterized by a reduction of precipitation from north to south and local variability. Five regions were identified in the Amazon area: three on the outer flanks of the eastern mountain range, one sub-Andean area, and one in the Amazon plain with regular rainfall throughout the year, influenced by the Amazon basin. Although Tropical Pacific sea surface temperature (SST) is strongly related to precipitation in the coastal regions of Ecuador, our findings indicate that SST influence varies among the regions of the country because Ecuador is influenced by the modes of precipitation variability in Colombia and Peru.application/htmlengSpringerurn:issn:1434-4483https://link.springer.com/article/10.1007%2Fs00704-020-03476-xinfo:eu-repo/semantics/openAccessReconocimiento - No comercial - Sin obra derivada (CC BY-NC-ND)https://creativecommons.org/licenses/by-nc-nd/4.0/Repositorio Institucional - SENAMHIServicio Nacional de Meteorología e Hidrología del Perúreponame:SENAMHI-Institucionalinstname:Servicio Nacional de Meteorología e Hidrología del Perúinstacron:SENAMHIPrecipitaciónAmazoniaENSOLluviaZona ClimáticaFactor Climáticohttps://purl.org/pe-repo/ocde/ford#1.05.10precipitacion - Clima y Eventos NaturalesUpdating regionalization of precipitation in Ecuadorinfo:eu-repo/semantics/articletext/publicacion cientificainfo:eu-repo/semantics/acceptedVersionIlbay-Yupa, MercyLavado-Casimiro, W.Rau, PedroZubieta, RicardoCastillón, FiorelaCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8811http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/799/1/license_rdf9868ccc48a14c8d591352b6eaf7f6239MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/799/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD5220.500.12542/799oai:repositorio.senamhi.gob.pe:20.500.12542/7992025-10-23 17:05:05.567Repositorio Institucional SENAMHIrepositorio@senamhi.gob.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