Statistical Downscaling Based Correction of the HadGEM2 Family General Circulation Models: Rimac Basin, Peru

Descripción del Articulo

We would like to thank the PUPC and CONCYTEC for the opportunity given to carry out this work within the management agreement N° 27-2015 - FONDECYT between these institutions. In addition, the authors thank to SENAMHI and especially to Alan Llacza.
Detalles Bibliográficos
Autores: Astorayme, MA, Gutierrez, RR
Formato: objeto de conferencia
Fecha de Publicación:2017
Institución:Consejo Nacional de Ciencia Tecnología e Innovación
Repositorio:CONCYTEC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.concytec.gob.pe:20.500.12390/1145
Enlace del recurso:https://hdl.handle.net/20.500.12390/1145
https://doi.org/10.1061/9780784480618.054
Nivel de acceso:acceso abierto
Materia:Rimac Basin
increasing water stress
quantile-mapping techniques
https://purl.org/pe-repo/ocde/ford#2.01.00
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oai_identifier_str oai:repositorio.concytec.gob.pe:20.500.12390/1145
network_acronym_str CONC
network_name_str CONCYTEC-Institucional
repository_id_str 4689
dc.title.none.fl_str_mv Statistical Downscaling Based Correction of the HadGEM2 Family General Circulation Models: Rimac Basin, Peru
title Statistical Downscaling Based Correction of the HadGEM2 Family General Circulation Models: Rimac Basin, Peru
spellingShingle Statistical Downscaling Based Correction of the HadGEM2 Family General Circulation Models: Rimac Basin, Peru
Astorayme, MA
Rimac Basin
increasing water stress
quantile-mapping techniques
https://purl.org/pe-repo/ocde/ford#2.01.00
title_short Statistical Downscaling Based Correction of the HadGEM2 Family General Circulation Models: Rimac Basin, Peru
title_full Statistical Downscaling Based Correction of the HadGEM2 Family General Circulation Models: Rimac Basin, Peru
title_fullStr Statistical Downscaling Based Correction of the HadGEM2 Family General Circulation Models: Rimac Basin, Peru
title_full_unstemmed Statistical Downscaling Based Correction of the HadGEM2 Family General Circulation Models: Rimac Basin, Peru
title_sort Statistical Downscaling Based Correction of the HadGEM2 Family General Circulation Models: Rimac Basin, Peru
author Astorayme, MA
author_facet Astorayme, MA
Gutierrez, RR
author_role author
author2 Gutierrez, RR
author2_role author
dc.contributor.author.fl_str_mv Astorayme, MA
Gutierrez, RR
dc.subject.none.fl_str_mv Rimac Basin
topic Rimac Basin
increasing water stress
quantile-mapping techniques
https://purl.org/pe-repo/ocde/ford#2.01.00
dc.subject.es_PE.fl_str_mv increasing water stress
quantile-mapping techniques
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#2.01.00
description We would like to thank the PUPC and CONCYTEC for the opportunity given to carry out this work within the management agreement N° 27-2015 - FONDECYT between these institutions. In addition, the authors thank to SENAMHI and especially to Alan Llacza.
publishDate 2017
dc.date.accessioned.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.available.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.issued.fl_str_mv 2017
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12390/1145
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1061/9780784480618.054
dc.identifier.isi.none.fl_str_mv 404787300054
url https://hdl.handle.net/20.500.12390/1145
https://doi.org/10.1061/9780784480618.054
identifier_str_mv 404787300054
dc.language.iso.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv ASCE
publisher.none.fl_str_mv ASCE
dc.source.none.fl_str_mv reponame:CONCYTEC-Institucional
instname:Consejo Nacional de Ciencia Tecnología e Innovación
instacron:CONCYTEC
instname_str Consejo Nacional de Ciencia Tecnología e Innovación
instacron_str CONCYTEC
institution CONCYTEC
reponame_str CONCYTEC-Institucional
collection CONCYTEC-Institucional
repository.name.fl_str_mv Repositorio Institucional CONCYTEC
repository.mail.fl_str_mv repositorio@concytec.gob.pe
_version_ 1844882991879290880
spelling Publicationrp03236600rp03237600Astorayme, MAGutierrez, RR2024-05-30T23:13:38Z2024-05-30T23:13:38Z2017https://hdl.handle.net/20.500.12390/1145https://doi.org/10.1061/9780784480618.054404787300054We would like to thank the PUPC and CONCYTEC for the opportunity given to carry out this work within the management agreement N° 27-2015 - FONDECYT between these institutions. In addition, the authors thank to SENAMHI and especially to Alan Llacza.Lima holds ~30% of Peru’s entire population. It is listed among the 30 most populated cities of the world, and since the past decade, it faces an increasing water stress. In this context, evaluating future precipitation patterns in the Rimac Basin, which runs along Lima and provides for 60% of the drinking water to its population, is crucial. In this paper, we use statistical downscaling (SD) to correct and evaluate 22 years (Set/1982–Ago/2004) of historical daily precipitation data from the HadGEM2 general circulation models (GCM) to assess a near future time frame (Dec/2015–Nov/2045) being centered in 2030. To perform SD, we apply quantile-mapping techniques that uses a non-parametric transformation function being represented by the Bernoulli-Gamma mixture probabilistic model from eight ground weather stations. HadGEM2 models were evaluated by considering two model efficiency metrics, namely: bias and relative root mean squared error (RRSME). Our results show that the bias and RRSME were reduced to the ranges 0.7–1.6 units and -2.3%–8.3%, respectively. Likewise, we determined that the HadHGEM2-ES and HadHGEM2-CC models performed markedly better during dry and wet seasons.Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - ConcytecengASCEinfo:eu-repo/semantics/openAccessRimac Basinincreasing water stress-1quantile-mapping techniques-1https://purl.org/pe-repo/ocde/ford#2.01.00-1Statistical Downscaling Based Correction of the HadGEM2 Family General Circulation Models: Rimac Basin, Peruinfo:eu-repo/semantics/conferenceObjectreponame:CONCYTEC-Institucionalinstname:Consejo Nacional de Ciencia Tecnología e Innovacióninstacron:CONCYTEC#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#20.500.12390/1145oai:repositorio.concytec.gob.pe:20.500.12390/11452024-05-30 15:36:31.806http://purl.org/coar/access_right/c_14cbinfo:eu-repo/semantics/closedAccessmetadata only accesshttps://repositorio.concytec.gob.peRepositorio Institucional CONCYTECrepositorio@concytec.gob.pe#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="7f3244dd-3daf-4a92-9cbe-60600f779253"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Statistical Downscaling Based Correction of the HadGEM2 Family General Circulation Models: Rimac Basin, Peru</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2017</PublicationDate> <DOI>https://doi.org/10.1061/9780784480618.054</DOI> <ISI-Number>404787300054</ISI-Number> <Authors> <Author> <DisplayName>Astorayme, MA</DisplayName> <Person id="rp03236" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Gutierrez, RR</DisplayName> <Person id="rp03237" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>ASCE</DisplayName> <OrgUnit /> </Publisher> </Publishers> <Keyword>Rimac Basin</Keyword> <Keyword>increasing water stress</Keyword> <Keyword>quantile-mapping techniques</Keyword> <Abstract>Lima holds ~30% of Peru’s entire population. It is listed among the 30 most populated cities of the world, and since the past decade, it faces an increasing water stress. In this context, evaluating future precipitation patterns in the Rimac Basin, which runs along Lima and provides for 60% of the drinking water to its population, is crucial. In this paper, we use statistical downscaling (SD) to correct and evaluate 22 years (Set/1982–Ago/2004) of historical daily precipitation data from the HadGEM2 general circulation models (GCM) to assess a near future time frame (Dec/2015–Nov/2045) being centered in 2030. To perform SD, we apply quantile-mapping techniques that uses a non-parametric transformation function being represented by the Bernoulli-Gamma mixture probabilistic model from eight ground weather stations. HadGEM2 models were evaluated by considering two model efficiency metrics, namely: bias and relative root mean squared error (RRSME). Our results show that the bias and RRSME were reduced to the ranges 0.7–1.6 units and -2.3%–8.3%, respectively. Likewise, we determined that the HadHGEM2-ES and HadHGEM2-CC models performed markedly better during dry and wet seasons.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1
score 13.907986
Statistical Downscaling Based Correction of the HadGEM2 Family General Circulation Models: Rimac Basin, Peru
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).

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