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dc.contributor.author
Saurral, Ramiro Ignacio  
dc.contributor.author
Montroull, Natalia Blanca  
dc.contributor.author
Camilloni, Ines Angela  
dc.date.available
2016-02-26T20:08:05Z  
dc.date.issued
2013-12  
dc.identifier.citation
Saurral, Ramiro Ignacio; Montroull, Natalia Blanca; Camilloni, Ines Angela; Development of statistically unbiased 21st century hydrology scenarios over La Plata Basin; Taylor & Francis; International Journal of River Basin Management; 11; 4; 12-2013; 329-343  
dc.identifier.issn
1571-5124  
dc.identifier.uri
http://hdl.handle.net/11336/4464  
dc.description.abstract
There is an increasing demand for future climate scenarios, particularly for impact studies. In this study, simulation outputs taken from a set of three Regional Climate Models (RCMs) are used to force a hydrologic model to derive future streamflow scenarios for La Plata Basin (LPB). As RCMs have biases in their mean precipitation and temperature fields, a statistical scheme is previously used to remove the systematic part of the bias. Future hydrologic scenarios were derived considering two future periods: 2021-2040 (near future) and 2071-2090 (far future). In terms of climate projections, RCMs predict warmer conditions in almost the whole basin, while precipitation variations are not uniform in sign across the region but overall tend to be positive over the southern part of the basin. Nevertheless, a trend towards a gradual increase in streamflow was found for the majority of the rivers in the basin particularly for the near future followed by less uniform variations towards the end of the present century. Future changes in the largest monthly streamflow are similar to those in the mean values, with also some differences among RCMs and on the period and sub-basin considered.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Taylor & Francis  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
La Plata Basin  
dc.subject
Regional Climate Models  
dc.subject
Future Hydrology Scenarios  
dc.subject
Impact Studies  
dc.subject.classification
Investigación Climatológica  
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Ciencias de la Tierra y relacionadas con el Medio Ambiente  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Development of statistically unbiased 21st century hydrology scenarios over La Plata Basin  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2016-03-30 10:35:44.97925-03  
dc.journal.volume
11  
dc.journal.number
4  
dc.journal.pagination
329-343  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Londres  
dc.description.fil
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. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina  
dc.description.fil
Fil: Montroull, Natalia Blanca. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinacion Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina  
dc.description.fil
Fil: Camilloni, Ines Angela. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinacion Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina  
dc.journal.title
International Journal of River Basin Management  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.tandfonline.com/doi/abs/10.1080/15715124.2014.885440  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1080/15715124.2014.885440  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/issn/1571-5124