Empirical–statistical downscaling of austral summer precipitation over south america, with a focus on the central peruvian andes and the equatorial amazon basin

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Precipitation is one of the most difficult variables to estimate using large-scale predictors. Over South America (SA), this task is even more challenging, given the complex topography of the Andes. Empirical–statistical downscaling (ESD) models can be used for this purpose, but such models, applica...

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Detalles Bibliográficos
Autores: Sulca J., Vuille M., Timm O.E., Dong B., Zubieta R.
Formato: artículo
Fecha de Publicación:2020
Institución:Consejo Nacional de Ciencia Tecnología e Innovación
Repositorio:CONCYTEC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.concytec.gob.pe:20.500.12390/2646
Enlace del recurso:https://hdl.handle.net/20.500.12390/2646
https://doi.org/10.1175/JAMC-D-20-0066.1
Nivel de acceso:acceso abierto
Materia:Tropics
Atlantic Ocean
ENSO
Intertropical convergence zone
Precipitation
South America
South Atlantic convergence zone
Summer/warm season
Teleconnections
http://purl.org/pe-repo/ocde/ford#2.02.01
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network_acronym_str CONC
network_name_str CONCYTEC-Institucional
repository_id_str 4689
dc.title.none.fl_str_mv Empirical–statistical downscaling of austral summer precipitation over south america, with a focus on the central peruvian andes and the equatorial amazon basin
title Empirical–statistical downscaling of austral summer precipitation over south america, with a focus on the central peruvian andes and the equatorial amazon basin
spellingShingle Empirical–statistical downscaling of austral summer precipitation over south america, with a focus on the central peruvian andes and the equatorial amazon basin
Sulca J.
Tropics
Atlantic Ocean
ENSO
Intertropical convergence zone
Precipitation
South America
South Atlantic convergence zone
Summer/warm season
Teleconnections
http://purl.org/pe-repo/ocde/ford#2.02.01
title_short Empirical–statistical downscaling of austral summer precipitation over south america, with a focus on the central peruvian andes and the equatorial amazon basin
title_full Empirical–statistical downscaling of austral summer precipitation over south america, with a focus on the central peruvian andes and the equatorial amazon basin
title_fullStr Empirical–statistical downscaling of austral summer precipitation over south america, with a focus on the central peruvian andes and the equatorial amazon basin
title_full_unstemmed Empirical–statistical downscaling of austral summer precipitation over south america, with a focus on the central peruvian andes and the equatorial amazon basin
title_sort Empirical–statistical downscaling of austral summer precipitation over south america, with a focus on the central peruvian andes and the equatorial amazon basin
author Sulca J.
author_facet Sulca J.
Vuille M.
Timm O.E.
Dong B.
Zubieta R.
author_role author
author2 Vuille M.
Timm O.E.
Dong B.
Zubieta R.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Sulca J.
Vuille M.
Timm O.E.
Dong B.
Zubieta R.
dc.subject.none.fl_str_mv Tropics
topic Tropics
Atlantic Ocean
ENSO
Intertropical convergence zone
Precipitation
South America
South Atlantic convergence zone
Summer/warm season
Teleconnections
http://purl.org/pe-repo/ocde/ford#2.02.01
dc.subject.es_PE.fl_str_mv Atlantic Ocean
ENSO
Intertropical convergence zone
Precipitation
South America
South Atlantic convergence zone
Summer/warm season
Teleconnections
dc.subject.ocde.none.fl_str_mv http://purl.org/pe-repo/ocde/ford#2.02.01
description Precipitation is one of the most difficult variables to estimate using large-scale predictors. Over South America (SA), this task is even more challenging, given the complex topography of the Andes. Empirical–statistical downscaling (ESD) models can be used for this purpose, but such models, applicable for all of SA, have not yet been developed. To address this issue, we construct an ESD model using multiple-linear-regression techniques for the period 1982–2016 that is based on large-scale circulation indices representing tropical Pacific Ocean, Atlantic Ocean, and South American climate variability, to estimate austral summer [December–February (DJF)] precipitation over SA. Statistical analyses show that the ESD model can reproduce observed precipitation anomalies over the tropical Andes (Ecuador, Colombia, Peru, and Bolivia), the eastern equatorial Amazon basin, and the central part of the western Argentinian Andes. On a smaller scale, the ESD model also shows good results over the Western Cordillera of the Peruvian Andes. The ESD model reproduces anomalously dry conditions over the eastern equatorial Amazon and the wet conditions over southeastern South America (SESA) during the three extreme El Niños: 1982/83, 1997/98, and 2015/16. However, it overestimates the observed intensities over SESA. For the central Peruvian Andes as a case study, results further show that the ESD model can correctly reproduce DJF precipitation anomalies over the entire Mantaro basin during the three extreme El Niño episodes. Moreover, multiple experiments with varying predictor combinations of the ESD model cor-roborate the hypothesis that the interaction between the South Atlantic convergence zone and the equatorial Atlantic Ocean provoked the Amazon drought in 2015/16. © 2021 American Meteorological Society.
publishDate 2020
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 2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12390/2646
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1175/JAMC-D-20-0066.1
dc.identifier.scopus.none.fl_str_mv 2-s2.0-85100664584
url https://hdl.handle.net/20.500.12390/2646
https://doi.org/10.1175/JAMC-D-20-0066.1
identifier_str_mv 2-s2.0-85100664584
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv Journal of Applied Meteorology and Climatology
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv American Meteorological Society
publisher.none.fl_str_mv American Meteorological Society
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_ 1839175773958701056
spelling Publicationrp06635600rp06831600rp06833600rp06832600rp06634600Sulca J.Vuille M.Timm O.E.Dong B.Zubieta R.2024-05-30T23:13:38Z2024-05-30T23:13:38Z2020https://hdl.handle.net/20.500.12390/2646https://doi.org/10.1175/JAMC-D-20-0066.12-s2.0-85100664584Precipitation is one of the most difficult variables to estimate using large-scale predictors. Over South America (SA), this task is even more challenging, given the complex topography of the Andes. Empirical–statistical downscaling (ESD) models can be used for this purpose, but such models, applicable for all of SA, have not yet been developed. To address this issue, we construct an ESD model using multiple-linear-regression techniques for the period 1982–2016 that is based on large-scale circulation indices representing tropical Pacific Ocean, Atlantic Ocean, and South American climate variability, to estimate austral summer [December–February (DJF)] precipitation over SA. Statistical analyses show that the ESD model can reproduce observed precipitation anomalies over the tropical Andes (Ecuador, Colombia, Peru, and Bolivia), the eastern equatorial Amazon basin, and the central part of the western Argentinian Andes. On a smaller scale, the ESD model also shows good results over the Western Cordillera of the Peruvian Andes. The ESD model reproduces anomalously dry conditions over the eastern equatorial Amazon and the wet conditions over southeastern South America (SESA) during the three extreme El Niños: 1982/83, 1997/98, and 2015/16. However, it overestimates the observed intensities over SESA. For the central Peruvian Andes as a case study, results further show that the ESD model can correctly reproduce DJF precipitation anomalies over the entire Mantaro basin during the three extreme El Niño episodes. Moreover, multiple experiments with varying predictor combinations of the ESD model cor-roborate the hypothesis that the interaction between the South Atlantic convergence zone and the equatorial Atlantic Ocean provoked the Amazon drought in 2015/16. © 2021 American Meteorological Society.Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - ConcytecengAmerican Meteorological SocietyJournal of Applied Meteorology and Climatologyinfo:eu-repo/semantics/openAccessTropicsAtlantic Ocean-1ENSO-1Intertropical convergence zone-1Precipitation-1South America-1South Atlantic convergence zone-1Summer/warm season-1Teleconnections-1http://purl.org/pe-repo/ocde/ford#2.02.01-1Empirical–statistical downscaling of austral summer precipitation over south america, with a focus on the central peruvian andes and the equatorial amazon basininfo:eu-repo/semantics/articlereponame:CONCYTEC-Institucionalinstname:Consejo Nacional de Ciencia Tecnología e Innovacióninstacron:CONCYTEC#PLACEHOLDER_PARENT_METADATA_VALUE#20.500.12390/2646oai:repositorio.concytec.gob.pe:20.500.12390/26462024-05-30 15:52:16.617http://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##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="daebe954-ed66-4f17-a95c-7bb176f9b43b"> <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>Empirical–statistical downscaling of austral summer precipitation over south america, with a focus on the central peruvian andes and the equatorial amazon basin</Title> <PublishedIn> <Publication> <Title>Journal of Applied Meteorology and Climatology</Title> </Publication> </PublishedIn> <PublicationDate>2020</PublicationDate> <DOI>https://doi.org/10.1175/JAMC-D-20-0066.1</DOI> <SCP-Number>2-s2.0-85100664584</SCP-Number> <Authors> <Author> <DisplayName>Sulca J.</DisplayName> <Person id="rp06635" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Vuille M.</DisplayName> <Person id="rp06831" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Timm O.E.</DisplayName> <Person id="rp06833" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Dong B.</DisplayName> <Person id="rp06832" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Zubieta R.</DisplayName> <Person id="rp06634" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>American Meteorological Society</DisplayName> <OrgUnit /> </Publisher> </Publishers> <Keyword>Tropics</Keyword> <Keyword>Atlantic Ocean</Keyword> <Keyword>ENSO</Keyword> <Keyword>Intertropical convergence zone</Keyword> <Keyword>Precipitation</Keyword> <Keyword>South America</Keyword> <Keyword>South Atlantic convergence zone</Keyword> <Keyword>Summer/warm season</Keyword> <Keyword>Teleconnections</Keyword> <Abstract>Precipitation is one of the most difficult variables to estimate using large-scale predictors. Over South America (SA), this task is even more challenging, given the complex topography of the Andes. Empirical–statistical downscaling (ESD) models can be used for this purpose, but such models, applicable for all of SA, have not yet been developed. To address this issue, we construct an ESD model using multiple-linear-regression techniques for the period 1982–2016 that is based on large-scale circulation indices representing tropical Pacific Ocean, Atlantic Ocean, and South American climate variability, to estimate austral summer [December–February (DJF)] precipitation over SA. Statistical analyses show that the ESD model can reproduce observed precipitation anomalies over the tropical Andes (Ecuador, Colombia, Peru, and Bolivia), the eastern equatorial Amazon basin, and the central part of the western Argentinian Andes. On a smaller scale, the ESD model also shows good results over the Western Cordillera of the Peruvian Andes. The ESD model reproduces anomalously dry conditions over the eastern equatorial Amazon and the wet conditions over southeastern South America (SESA) during the three extreme El Niños: 1982/83, 1997/98, and 2015/16. However, it overestimates the observed intensities over SESA. For the central Peruvian Andes as a case study, results further show that the ESD model can correctly reproduce DJF precipitation anomalies over the entire Mantaro basin during the three extreme El Niño episodes. Moreover, multiple experiments with varying predictor combinations of the ESD model cor-roborate the hypothesis that the interaction between the South Atlantic convergence zone and the equatorial Atlantic Ocean provoked the Amazon drought in 2015/16. © 2021 American Meteorological Society.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1
score 13.210282
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