Empirical–statistical downscaling of austral summer precipitation over south america, with a focus on the central peruvian andes and the equatorial amazon basin
Descripción del Articulo
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...
Autores: | , , , , |
---|---|
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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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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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).
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).