Attribution of Amazon floods to modes of climate variability: A review
Descripción del Articulo
Anomalous conditions in the oceans and atmosphere have the potential to beused to enhance the predictability of flood events, enabling earlier warnings toreduce risk. In the Amazon basin, extreme flooding is consistently attributedto warmer or cooler conditions in the tropical Pacific and Atlantic o...
Autores: | , , , , , |
---|---|
Formato: | artículo |
Fecha de Publicación: | 2020 |
Institución: | Servicio Nacional de Meteorología e Hidrología del Perú |
Repositorio: | SENAMHI-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorio.senamhi.gob.pe:20.500.12542/653 |
Enlace del recurso: | https://hdl.handle.net/20.500.12542/653 https://doi.org/10.1002/met.1949 |
Nivel de acceso: | acceso abierto |
Materia: | Hydroclimatic Drivers Inundaciones Pronóstico de Inundación Cuencas Amazonia Modelos Hidrología https://purl.org/pe-repo/ocde/ford#1.05.11 inundaciones - Clima y Eventos Naturales |
id |
SEAM_e4d416a14e515c90eb1bd824475a9043 |
---|---|
oai_identifier_str |
oai:repositorio.senamhi.gob.pe:20.500.12542/653 |
network_acronym_str |
SEAM |
network_name_str |
SENAMHI-Institucional |
repository_id_str |
4818 |
dc.title.en_US.fl_str_mv |
Attribution of Amazon floods to modes of climate variability: A review |
title |
Attribution of Amazon floods to modes of climate variability: A review |
spellingShingle |
Attribution of Amazon floods to modes of climate variability: A review Towner, Jamie Hydroclimatic Drivers Inundaciones Pronóstico de Inundación Cuencas Amazonia Modelos Hidrología https://purl.org/pe-repo/ocde/ford#1.05.11 inundaciones - Clima y Eventos Naturales |
title_short |
Attribution of Amazon floods to modes of climate variability: A review |
title_full |
Attribution of Amazon floods to modes of climate variability: A review |
title_fullStr |
Attribution of Amazon floods to modes of climate variability: A review |
title_full_unstemmed |
Attribution of Amazon floods to modes of climate variability: A review |
title_sort |
Attribution of Amazon floods to modes of climate variability: A review |
author |
Towner, Jamie |
author_facet |
Towner, Jamie Cloke, Hannah L. Santini, W. Bazo, Juan Coughlan de Perez, Erin Stephens, Elisabeth M. |
author_role |
author |
author2 |
Cloke, Hannah L. Santini, W. Bazo, Juan Coughlan de Perez, Erin Stephens, Elisabeth M. |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Towner, Jamie Cloke, Hannah L. Santini, W. Bazo, Juan Coughlan de Perez, Erin Stephens, Elisabeth M. |
dc.subject.es_PE.fl_str_mv |
Hydroclimatic Drivers Inundaciones Pronóstico de Inundación Cuencas Amazonia Modelos Hidrología |
topic |
Hydroclimatic Drivers Inundaciones Pronóstico de Inundación Cuencas Amazonia Modelos Hidrología https://purl.org/pe-repo/ocde/ford#1.05.11 inundaciones - Clima y Eventos Naturales |
dc.subject.ocde.none.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#1.05.11 |
dc.subject.sinia.none.fl_str_mv |
inundaciones - Clima y Eventos Naturales |
description |
Anomalous conditions in the oceans and atmosphere have the potential to beused to enhance the predictability of flood events, enabling earlier warnings toreduce risk. In the Amazon basin, extreme flooding is consistently attributedto warmer or cooler conditions in the tropical Pacific and Atlantic oceans, withsome evidence linking floods to other hydroclimatic drivers such as theMadden–Julian Oscillation (MJO). This review evaluates the impact of severalhydroclimatic drivers on rainfall and river discharge regimes independently,aggregating all the information of previous studies to provide an up-to-datedepiction of what we currently know and do not know about how variationsin climate impact flooding in the Amazon. Additionally, 34 major flood eventsthat have occurred since 1950 in the Amazon and their attribution to climateanomalies are documented and evaluated. This review finds that despite com-mon agreement within the literature describing the relationship betweenphases of climate indices and hydrometeorological variables, results linkingclimate anomalies and flood hazard are often limited to correlation rather thanto causation, while the understanding of their usefulness for flood forecastingis weak. There is a need to understand better the ocean–atmosphere responsemechanisms that led to previous flood events. In particular, examining the oce-anic and atmospheric conditions preceding individual hydrological extremes,as opposed to composite analysis, could provide insightful information into themagnitude and spatial distribution of anomalous sea surface temperaturesrequired to produce extreme floods. Importantly, such an analysis could pro-vide meaningful thresholds on which to base seasonal flood forecasts |
publishDate |
2020 |
dc.date.accessioned.none.fl_str_mv |
2020-12-30T20:06:20Z |
dc.date.available.none.fl_str_mv |
2020-12-30T20:06:20Z |
dc.date.issued.fl_str_mv |
2020-08 |
dc.type.en_US.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.sinia.none.fl_str_mv |
text/publicacion cientifica |
format |
article |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12542/653 |
dc.identifier.isni.none.fl_str_mv |
0000 0001 0746 0446 |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1002/met.1949 |
dc.identifier.journal.none.fl_str_mv |
Meteorological Applications |
dc.identifier.url.none.fl_str_mv |
https://hdl.handle.net/20.500.12542/653 |
url |
https://hdl.handle.net/20.500.12542/653 https://doi.org/10.1002/met.1949 |
identifier_str_mv |
0000 0001 0746 0446 Meteorological Applications |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.none.fl_str_mv |
urn:issn:1469-8080 |
dc.rights.es_PE.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.*.fl_str_mv |
Atribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América |
dc.rights.uri.*.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/3.0/us/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
Atribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América http://creativecommons.org/licenses/by-nc-nd/3.0/us/ |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
John Wiley & Sons |
publisher.none.fl_str_mv |
John Wiley & Sons |
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 instacron:SENAMHI |
instname_str |
Servicio Nacional de Meteorología e Hidrología del Perú |
instacron_str |
SENAMHI |
institution |
SENAMHI |
reponame_str |
SENAMHI-Institucional |
collection |
SENAMHI-Institucional |
bitstream.url.fl_str_mv |
http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/653/1/Attribution-Amazon-floods-modes-climate-variability-review_2020.pdf http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/653/2/license_rdf http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/653/3/license.txt http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/653/4/Attribution-Amazon-floods-modes-climate-variability-review_2020.pdf.txt http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/653/5/Attribution-Amazon-floods-modes-climate-variability-review_2020.pdf.jpg |
bitstream.checksum.fl_str_mv |
0aeed547d55f37f567e317fcf6838f6a 9868ccc48a14c8d591352b6eaf7f6239 8a4605be74aa9ea9d79846c1fba20a33 ff9b689f4a322615736be2b6ad875c03 6c70690c4326fc7f1a0b44cda4b02186 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositorio Institucional SENAMHI |
repository.mail.fl_str_mv |
repositorio@senamhi.gob.pe |
_version_ |
1808916937554526208 |
spelling |
Towner, JamieCloke, Hannah L.Santini, W.Bazo, JuanCoughlan de Perez, ErinStephens, Elisabeth M.2020-12-30T20:06:20Z2020-12-30T20:06:20Z2020-08https://hdl.handle.net/20.500.12542/6530000 0001 0746 0446https://doi.org/10.1002/met.1949Meteorological Applicationshttps://hdl.handle.net/20.500.12542/653Anomalous conditions in the oceans and atmosphere have the potential to beused to enhance the predictability of flood events, enabling earlier warnings toreduce risk. In the Amazon basin, extreme flooding is consistently attributedto warmer or cooler conditions in the tropical Pacific and Atlantic oceans, withsome evidence linking floods to other hydroclimatic drivers such as theMadden–Julian Oscillation (MJO). This review evaluates the impact of severalhydroclimatic drivers on rainfall and river discharge regimes independently,aggregating all the information of previous studies to provide an up-to-datedepiction of what we currently know and do not know about how variationsin climate impact flooding in the Amazon. Additionally, 34 major flood eventsthat have occurred since 1950 in the Amazon and their attribution to climateanomalies are documented and evaluated. This review finds that despite com-mon agreement within the literature describing the relationship betweenphases of climate indices and hydrometeorological variables, results linkingclimate anomalies and flood hazard are often limited to correlation rather thanto causation, while the understanding of their usefulness for flood forecastingis weak. There is a need to understand better the ocean–atmosphere responsemechanisms that led to previous flood events. In particular, examining the oce-anic and atmospheric conditions preceding individual hydrological extremes,as opposed to composite analysis, could provide insightful information into themagnitude and spatial distribution of anomalous sea surface temperaturesrequired to produce extreme floods. Importantly, such an analysis could pro-vide meaningful thresholds on which to base seasonal flood forecastsPor paresapplication/pdfengJohn Wiley & Sonsurn:issn:1469-8080info:eu-repo/semantics/openAccessAtribución-NoComercial-SinDerivadas 3.0 Estados Unidos de Américahttp://creativecommons.org/licenses/by-nc-nd/3.0/us/Repositorio Institucional - SENAMHIServicio Nacional de Meteorología e Hidrología del Perúreponame:SENAMHI-Institucionalinstname:Servicio Nacional de Meteorología e Hidrología del Perúinstacron:SENAMHIHydroclimatic DriversInundacionesPronóstico de InundaciónCuencasAmazoniaModelosHidrologíahttps://purl.org/pe-repo/ocde/ford#1.05.11inundaciones - Clima y Eventos NaturalesAttribution of Amazon floods to modes of climate variability: A reviewinfo:eu-repo/semantics/articletext/publicacion cientificaORIGINALAttribution-Amazon-floods-modes-climate-variability-review_2020.pdfAttribution-Amazon-floods-modes-climate-variability-review_2020.pdfTexto Completoapplication/pdf3998108http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/653/1/Attribution-Amazon-floods-modes-climate-variability-review_2020.pdf0aeed547d55f37f567e317fcf6838f6aMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8811http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/653/2/license_rdf9868ccc48a14c8d591352b6eaf7f6239MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/653/3/license.txt8a4605be74aa9ea9d79846c1fba20a33MD53TEXTAttribution-Amazon-floods-modes-climate-variability-review_2020.pdf.txtAttribution-Amazon-floods-modes-climate-variability-review_2020.pdf.txtExtracted texttext/plain159088http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/653/4/Attribution-Amazon-floods-modes-climate-variability-review_2020.pdf.txtff9b689f4a322615736be2b6ad875c03MD54THUMBNAILAttribution-Amazon-floods-modes-climate-variability-review_2020.pdf.jpgAttribution-Amazon-floods-modes-climate-variability-review_2020.pdf.jpgGenerated Thumbnailimage/jpeg8073http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/653/5/Attribution-Amazon-floods-modes-climate-variability-review_2020.pdf.jpg6c70690c4326fc7f1a0b44cda4b02186MD5520.500.12542/653oai:repositorio.senamhi.gob.pe:20.500.12542/6532024-08-20 16:16:27.853Repositorio Institucional SENAMHIrepositorio@senamhi.gob.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 |
score |
13.982926 |
Nota importante:
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).