The Hydrologic Cycle of the La Plata Basin in the WCRP-CMIP3 multimodel dataset
- Autores
- Saurral, Ramiro Ignacio
- Año de publicación
- 2010
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- General circulation models (GCMs) forced under different greenhouse gases emission and socioeconomic scenarios are currently the most extended tool throughout the scientific community that is used to infer the future climate on Earth. However, these models still have problems in capturing several aspects of regional climate variability in many parts of the globe. In this paper, the hydrological cycle of the La Plata Basin is simulated using the variable infiltration capacity (VIC) distributed hydrology model and forced with atmospheric data from different GCMs to determine to what extent errors in temperature and precipitation fields impact the hydrology of the basin. The skill assessment is performed in terms of simulated runoff at different closing points. Simulated hydrographs show that all of the GCMs present deficiencies in simulating the regional climatology of southern South America, and this leads to a very poor representation of the hydrological cycle of the main rivers across the basin. Two unbiasing schemes are then proposed as a means of correcting the GCM outputs before forcing the hydrology model, and comparisons between biased and unbiased simulations are also performed. Results indicate that both schemes, though methodologically different, reduce the water cycle simulation bias. Finally, VIC is forced with bias-corrected data from the GCMs for future decades (2030 and 2070) under different socioeconomic scenarios [e.g., the Intergovernmental Panel on Climate Change’s (IPCC) Special Report on Emissions Scenarios (SRES) scenarios A1B, A2, and B1] to determine the potential changes in streamflow due to climate change for the rest of the present century.
Fil: Saurral, Ramiro Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmosfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmosfera; Argentina - Materia
-
GENERAL CIRCULATION MODELS
HYDROLOGY MODEL
LA PLATA BASIN
CLIMATE CHANGE - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/17230
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The Hydrologic Cycle of the La Plata Basin in the WCRP-CMIP3 multimodel datasetSaurral, Ramiro IgnacioGENERAL CIRCULATION MODELSHYDROLOGY MODELLA PLATA BASINCLIMATE CHANGEhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1General circulation models (GCMs) forced under different greenhouse gases emission and socioeconomic scenarios are currently the most extended tool throughout the scientific community that is used to infer the future climate on Earth. However, these models still have problems in capturing several aspects of regional climate variability in many parts of the globe. In this paper, the hydrological cycle of the La Plata Basin is simulated using the variable infiltration capacity (VIC) distributed hydrology model and forced with atmospheric data from different GCMs to determine to what extent errors in temperature and precipitation fields impact the hydrology of the basin. The skill assessment is performed in terms of simulated runoff at different closing points. Simulated hydrographs show that all of the GCMs present deficiencies in simulating the regional climatology of southern South America, and this leads to a very poor representation of the hydrological cycle of the main rivers across the basin. Two unbiasing schemes are then proposed as a means of correcting the GCM outputs before forcing the hydrology model, and comparisons between biased and unbiased simulations are also performed. Results indicate that both schemes, though methodologically different, reduce the water cycle simulation bias. Finally, VIC is forced with bias-corrected data from the GCMs for future decades (2030 and 2070) under different socioeconomic scenarios [e.g., the Intergovernmental Panel on Climate Change’s (IPCC) Special Report on Emissions Scenarios (SRES) scenarios A1B, A2, and B1] to determine the potential changes in streamflow due to climate change for the rest of the present century.Fil: Saurral, Ramiro Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmosfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmosfera; ArgentinaAmerican Meteorological Society2010-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/17230Saurral, Ramiro Ignacio; The Hydrologic Cycle of the La Plata Basin in the WCRP-CMIP3 multimodel dataset; American Meteorological Society; Journal Of Hydrometeorology; 11; 5; 10-2010; 1083-11021525-755Xenginfo:eu-repo/semantics/altIdentifier/doi/10.1175/2010JHM1178.1info:eu-repo/semantics/altIdentifier/url/http://journals.ametsoc.org/doi/abs/10.1175/2010JHM1178.1info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T12:18:54Zoai:ri.conicet.gov.ar:11336/17230instacron: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:34982025-10-22 12:18:54.665CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
The Hydrologic Cycle of the La Plata Basin in the WCRP-CMIP3 multimodel dataset |
| title |
The Hydrologic Cycle of the La Plata Basin in the WCRP-CMIP3 multimodel dataset |
| spellingShingle |
The Hydrologic Cycle of the La Plata Basin in the WCRP-CMIP3 multimodel dataset Saurral, Ramiro Ignacio GENERAL CIRCULATION MODELS HYDROLOGY MODEL LA PLATA BASIN CLIMATE CHANGE |
| title_short |
The Hydrologic Cycle of the La Plata Basin in the WCRP-CMIP3 multimodel dataset |
| title_full |
The Hydrologic Cycle of the La Plata Basin in the WCRP-CMIP3 multimodel dataset |
| title_fullStr |
The Hydrologic Cycle of the La Plata Basin in the WCRP-CMIP3 multimodel dataset |
| title_full_unstemmed |
The Hydrologic Cycle of the La Plata Basin in the WCRP-CMIP3 multimodel dataset |
| title_sort |
The Hydrologic Cycle of the La Plata Basin in the WCRP-CMIP3 multimodel dataset |
| dc.creator.none.fl_str_mv |
Saurral, Ramiro Ignacio |
| author |
Saurral, Ramiro Ignacio |
| author_facet |
Saurral, Ramiro Ignacio |
| author_role |
author |
| dc.subject.none.fl_str_mv |
GENERAL CIRCULATION MODELS HYDROLOGY MODEL LA PLATA BASIN CLIMATE CHANGE |
| topic |
GENERAL CIRCULATION MODELS HYDROLOGY MODEL LA PLATA BASIN 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 |
General circulation models (GCMs) forced under different greenhouse gases emission and socioeconomic scenarios are currently the most extended tool throughout the scientific community that is used to infer the future climate on Earth. However, these models still have problems in capturing several aspects of regional climate variability in many parts of the globe. In this paper, the hydrological cycle of the La Plata Basin is simulated using the variable infiltration capacity (VIC) distributed hydrology model and forced with atmospheric data from different GCMs to determine to what extent errors in temperature and precipitation fields impact the hydrology of the basin. The skill assessment is performed in terms of simulated runoff at different closing points. Simulated hydrographs show that all of the GCMs present deficiencies in simulating the regional climatology of southern South America, and this leads to a very poor representation of the hydrological cycle of the main rivers across the basin. Two unbiasing schemes are then proposed as a means of correcting the GCM outputs before forcing the hydrology model, and comparisons between biased and unbiased simulations are also performed. Results indicate that both schemes, though methodologically different, reduce the water cycle simulation bias. Finally, VIC is forced with bias-corrected data from the GCMs for future decades (2030 and 2070) under different socioeconomic scenarios [e.g., the Intergovernmental Panel on Climate Change’s (IPCC) Special Report on Emissions Scenarios (SRES) scenarios A1B, A2, and B1] to determine the potential changes in streamflow due to climate change for the rest of the present century. Fil: Saurral, Ramiro Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmosfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmosfera; Argentina |
| description |
General circulation models (GCMs) forced under different greenhouse gases emission and socioeconomic scenarios are currently the most extended tool throughout the scientific community that is used to infer the future climate on Earth. However, these models still have problems in capturing several aspects of regional climate variability in many parts of the globe. In this paper, the hydrological cycle of the La Plata Basin is simulated using the variable infiltration capacity (VIC) distributed hydrology model and forced with atmospheric data from different GCMs to determine to what extent errors in temperature and precipitation fields impact the hydrology of the basin. The skill assessment is performed in terms of simulated runoff at different closing points. Simulated hydrographs show that all of the GCMs present deficiencies in simulating the regional climatology of southern South America, and this leads to a very poor representation of the hydrological cycle of the main rivers across the basin. Two unbiasing schemes are then proposed as a means of correcting the GCM outputs before forcing the hydrology model, and comparisons between biased and unbiased simulations are also performed. Results indicate that both schemes, though methodologically different, reduce the water cycle simulation bias. Finally, VIC is forced with bias-corrected data from the GCMs for future decades (2030 and 2070) under different socioeconomic scenarios [e.g., the Intergovernmental Panel on Climate Change’s (IPCC) Special Report on Emissions Scenarios (SRES) scenarios A1B, A2, and B1] to determine the potential changes in streamflow due to climate change for the rest of the present century. |
| publishDate |
2010 |
| dc.date.none.fl_str_mv |
2010-10 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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article |
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publishedVersion |
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http://hdl.handle.net/11336/17230 Saurral, Ramiro Ignacio; The Hydrologic Cycle of the La Plata Basin in the WCRP-CMIP3 multimodel dataset; American Meteorological Society; Journal Of Hydrometeorology; 11; 5; 10-2010; 1083-1102 1525-755X |
| url |
http://hdl.handle.net/11336/17230 |
| identifier_str_mv |
Saurral, Ramiro Ignacio; The Hydrologic Cycle of the La Plata Basin in the WCRP-CMIP3 multimodel dataset; American Meteorological Society; Journal Of Hydrometeorology; 11; 5; 10-2010; 1083-1102 1525-755X |
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eng |
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eng |
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American Meteorological Society |
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American Meteorological Society |
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