Multi-annual variability of streamflow in La Plata Basin. Part II: Simulations for the 21st century
- Autores
- Díaz, Alvaro; Maciel, Fernanda; Saurral, Ramiro Ignacio
- Año de publicación
- 2013
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Water resources availability presents a high degree of uncertainty in the context of climate change. In this study, the multi-year variability of simulated streamflow for three rivers (Paraná, Uruguay and Negro) in La Plata Basin (LPB) in the period 1991-2098 is analyzed. Simulated streamflow for that period were produced in a two-stage process involving a Regional Climate Model (RCM) and a distributed hydrology model (VIC). Outputs from two RCMs (PROMES and RCA) weare used in order to assess the sensitivity of the results to different models. Various spectral methods (Singular Spectrum Analysis, Maximum Entropy Method and Multi-Taper Method) weare used in order to detect low frequency variability modes and preferred quasi-periodicities for annual and seasonal simulated time series.Both simulations generate larger run-off for 21st century than those observed for 20th century for the three rivers. For annual time series, variability in time scales longer than 30 years is detected by one of the simulations for the three rivers, and only weakly for Negro River in the other. Seasonal variations of the preferred modes of multi-annual variability are apparent. Paraná River shows a persistent 10-year period during most of the year in the PROMES-VIC simulation. No LFV modes were found for any trimester in any river for PROMES-VIC, while for RCA-VIC simulations, these appeared in austral summer (Negro and Uruguay rivers) or early winter (Paraná River). A striking finding, both for annual and seasonal simulated time series, is the conspicuous presence of pseudo-periods in the 2.5-5 years band that had already been captured in the observed 20th streamflow time series (Maciel et al.Paper 1, 2013). This pattern is probably linked to El Niño-Southern Oscillation (ENSO) phenomenon. These results imply that the well-known relationships between ENSO and precipitation and streamflow anomalies in LPB are expected to prevail during the 21st century.
Fil: Díaz, Alvaro. Universidad de la República. Facultad de Ingeniería. Instituto de Mecánica de los Fluidos e Ingeniería Ambiental; Uruguay
Fil: Maciel, Fernanda. Universidad de la República. Facultad de Ingeniería. Instituto de Mecánica de los Fluidos e Ingeniería Ambiental; Uruguay
Fil: Saurral, Ramiro Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinacion Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera; Argentina - Materia
-
Multi-Annual Streamflow Variability
Climate And Hydrology Models
Spectral Methods
Climate Change - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/4483
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Multi-annual variability of streamflow in La Plata Basin. Part II: Simulations for the 21st centuryDíaz, AlvaroMaciel, FernandaSaurral, Ramiro IgnacioMulti-Annual Streamflow VariabilityClimate And Hydrology ModelsSpectral MethodsClimate Changehttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Water resources availability presents a high degree of uncertainty in the context of climate change. In this study, the multi-year variability of simulated streamflow for three rivers (Paraná, Uruguay and Negro) in La Plata Basin (LPB) in the period 1991-2098 is analyzed. Simulated streamflow for that period were produced in a two-stage process involving a Regional Climate Model (RCM) and a distributed hydrology model (VIC). Outputs from two RCMs (PROMES and RCA) weare used in order to assess the sensitivity of the results to different models. Various spectral methods (Singular Spectrum Analysis, Maximum Entropy Method and Multi-Taper Method) weare used in order to detect low frequency variability modes and preferred quasi-periodicities for annual and seasonal simulated time series.Both simulations generate larger run-off for 21st century than those observed for 20th century for the three rivers. For annual time series, variability in time scales longer than 30 years is detected by one of the simulations for the three rivers, and only weakly for Negro River in the other. Seasonal variations of the preferred modes of multi-annual variability are apparent. Paraná River shows a persistent 10-year period during most of the year in the PROMES-VIC simulation. No LFV modes were found for any trimester in any river for PROMES-VIC, while for RCA-VIC simulations, these appeared in austral summer (Negro and Uruguay rivers) or early winter (Paraná River). A striking finding, both for annual and seasonal simulated time series, is the conspicuous presence of pseudo-periods in the 2.5-5 years band that had already been captured in the observed 20th streamflow time series (Maciel et al.Paper 1, 2013). This pattern is probably linked to El Niño-Southern Oscillation (ENSO) phenomenon. These results imply that the well-known relationships between ENSO and precipitation and streamflow anomalies in LPB are expected to prevail during the 21st century.Fil: Díaz, Alvaro. Universidad de la República. Facultad de Ingeniería. Instituto de Mecánica de los Fluidos e Ingeniería Ambiental; UruguayFil: Maciel, Fernanda. Universidad de la República. Facultad de Ingeniería. Instituto de Mecánica de los Fluidos e Ingeniería Ambiental; UruguayFil: Saurral, Ramiro Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinacion Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera; ArgentinaTaylor & Francis2013-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/4483Díaz, Alvaro; Maciel, Fernanda; Saurral, Ramiro Ignacio; Multi-annual variability of streamflow in La Plata Basin. Part II: Simulations for the 21st century; Taylor & Francis; International Journal of River Basin Management; 11; 4; 12-2013; 361-3711571-5124enginfo:eu-repo/semantics/altIdentifier/url/http://www.tandfonline.com/doi/full/10.1080/15715124.2014.880708info:eu-repo/semantics/altIdentifier/issn/1571-5124info:eu-repo/semantics/altIdentifier/doi/10.1080/15715124.2014.880708info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:47:12Zoai:ri.conicet.gov.ar:11336/4483instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:47:13.077CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Multi-annual variability of streamflow in La Plata Basin. Part II: Simulations for the 21st century |
title |
Multi-annual variability of streamflow in La Plata Basin. Part II: Simulations for the 21st century |
spellingShingle |
Multi-annual variability of streamflow in La Plata Basin. Part II: Simulations for the 21st century Díaz, Alvaro Multi-Annual Streamflow Variability Climate And Hydrology Models Spectral Methods Climate Change |
title_short |
Multi-annual variability of streamflow in La Plata Basin. Part II: Simulations for the 21st century |
title_full |
Multi-annual variability of streamflow in La Plata Basin. Part II: Simulations for the 21st century |
title_fullStr |
Multi-annual variability of streamflow in La Plata Basin. Part II: Simulations for the 21st century |
title_full_unstemmed |
Multi-annual variability of streamflow in La Plata Basin. Part II: Simulations for the 21st century |
title_sort |
Multi-annual variability of streamflow in La Plata Basin. Part II: Simulations for the 21st century |
dc.creator.none.fl_str_mv |
Díaz, Alvaro Maciel, Fernanda Saurral, Ramiro Ignacio |
author |
Díaz, Alvaro |
author_facet |
Díaz, Alvaro Maciel, Fernanda Saurral, Ramiro Ignacio |
author_role |
author |
author2 |
Maciel, Fernanda Saurral, Ramiro Ignacio |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Multi-Annual Streamflow Variability Climate And Hydrology Models Spectral Methods Climate Change |
topic |
Multi-Annual Streamflow Variability Climate And Hydrology Models Spectral Methods Climate Change |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Water resources availability presents a high degree of uncertainty in the context of climate change. In this study, the multi-year variability of simulated streamflow for three rivers (Paraná, Uruguay and Negro) in La Plata Basin (LPB) in the period 1991-2098 is analyzed. Simulated streamflow for that period were produced in a two-stage process involving a Regional Climate Model (RCM) and a distributed hydrology model (VIC). Outputs from two RCMs (PROMES and RCA) weare used in order to assess the sensitivity of the results to different models. Various spectral methods (Singular Spectrum Analysis, Maximum Entropy Method and Multi-Taper Method) weare used in order to detect low frequency variability modes and preferred quasi-periodicities for annual and seasonal simulated time series.Both simulations generate larger run-off for 21st century than those observed for 20th century for the three rivers. For annual time series, variability in time scales longer than 30 years is detected by one of the simulations for the three rivers, and only weakly for Negro River in the other. Seasonal variations of the preferred modes of multi-annual variability are apparent. Paraná River shows a persistent 10-year period during most of the year in the PROMES-VIC simulation. No LFV modes were found for any trimester in any river for PROMES-VIC, while for RCA-VIC simulations, these appeared in austral summer (Negro and Uruguay rivers) or early winter (Paraná River). A striking finding, both for annual and seasonal simulated time series, is the conspicuous presence of pseudo-periods in the 2.5-5 years band that had already been captured in the observed 20th streamflow time series (Maciel et al.Paper 1, 2013). This pattern is probably linked to El Niño-Southern Oscillation (ENSO) phenomenon. These results imply that the well-known relationships between ENSO and precipitation and streamflow anomalies in LPB are expected to prevail during the 21st century. Fil: Díaz, Alvaro. Universidad de la República. Facultad de Ingeniería. Instituto de Mecánica de los Fluidos e Ingeniería Ambiental; Uruguay Fil: Maciel, Fernanda. Universidad de la República. Facultad de Ingeniería. Instituto de Mecánica de los Fluidos e Ingeniería Ambiental; Uruguay Fil: Saurral, Ramiro Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinacion Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera; Argentina |
description |
Water resources availability presents a high degree of uncertainty in the context of climate change. In this study, the multi-year variability of simulated streamflow for three rivers (Paraná, Uruguay and Negro) in La Plata Basin (LPB) in the period 1991-2098 is analyzed. Simulated streamflow for that period were produced in a two-stage process involving a Regional Climate Model (RCM) and a distributed hydrology model (VIC). Outputs from two RCMs (PROMES and RCA) weare used in order to assess the sensitivity of the results to different models. Various spectral methods (Singular Spectrum Analysis, Maximum Entropy Method and Multi-Taper Method) weare used in order to detect low frequency variability modes and preferred quasi-periodicities for annual and seasonal simulated time series.Both simulations generate larger run-off for 21st century than those observed for 20th century for the three rivers. For annual time series, variability in time scales longer than 30 years is detected by one of the simulations for the three rivers, and only weakly for Negro River in the other. Seasonal variations of the preferred modes of multi-annual variability are apparent. Paraná River shows a persistent 10-year period during most of the year in the PROMES-VIC simulation. No LFV modes were found for any trimester in any river for PROMES-VIC, while for RCA-VIC simulations, these appeared in austral summer (Negro and Uruguay rivers) or early winter (Paraná River). A striking finding, both for annual and seasonal simulated time series, is the conspicuous presence of pseudo-periods in the 2.5-5 years band that had already been captured in the observed 20th streamflow time series (Maciel et al.Paper 1, 2013). This pattern is probably linked to El Niño-Southern Oscillation (ENSO) phenomenon. These results imply that the well-known relationships between ENSO and precipitation and streamflow anomalies in LPB are expected to prevail during the 21st century. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-12 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/4483 Díaz, Alvaro; Maciel, Fernanda; Saurral, Ramiro Ignacio; Multi-annual variability of streamflow in La Plata Basin. Part II: Simulations for the 21st century; Taylor & Francis; International Journal of River Basin Management; 11; 4; 12-2013; 361-371 1571-5124 |
url |
http://hdl.handle.net/11336/4483 |
identifier_str_mv |
Díaz, Alvaro; Maciel, Fernanda; Saurral, Ramiro Ignacio; Multi-annual variability of streamflow in La Plata Basin. Part II: Simulations for the 21st century; Taylor & Francis; International Journal of River Basin Management; 11; 4; 12-2013; 361-371 1571-5124 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://www.tandfonline.com/doi/full/10.1080/15715124.2014.880708 info:eu-repo/semantics/altIdentifier/issn/1571-5124 info:eu-repo/semantics/altIdentifier/doi/10.1080/15715124.2014.880708 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Taylor & Francis |
publisher.none.fl_str_mv |
Taylor & Francis |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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13.13397 |