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dc.contributor.author
Bettolli, Maria Laura  
dc.contributor.author
Penalba, Olga Clorinda  
dc.date.available
2019-12-26T17:38:14Z  
dc.date.issued
2018-04  
dc.identifier.citation
Bettolli, Maria Laura; Penalba, Olga Clorinda; Statistical downscaling of daily precipitation and temperatures in southern La Plata Basin; John Wiley & Sons Ltd; International Journal of Climatology; 38; 9; 4-2018; 3705-3722  
dc.identifier.issn
0899-8418  
dc.identifier.uri
http://hdl.handle.net/11336/92951  
dc.description.abstract
La Plata Basin has a considerable socio-economic value, being one of the most important agricultural and hydropower-producing regions in the world. In this region, there is increasing evidence of a changing climate with more frequent and more intense extreme events. Despite the importance of empirical statistical downscaling for regional climate impact studies, few studies have addressed this issue for southern South American regions. In this work, the analogue method was calibrated and validated for simulating local daily precipitation and maximum and minimum temperatures in southern La Plata Basin. The model was trained for the 1979–2000 period and validated for the independent period 2001–2014. Daily fields from NCEP-NCAR Reanalysis 2 were used as predictors and daily observed data from 25 meteorological stations were used as predictands. A variety of potential predictors (including circulation, temperature and humidity variables) and combinations of them over different domain sizes were tested, revealing that the method was more skilful when combined predictors were considered. However, depending on the local predictand and the season of the year different predictor sets may be more appropriate. The method was comprehensively evaluated by means of several skill measures concerning different properties such as mean values, day-to-day variance, daily correspondence, persistence, inter-annual variability, probability distributions and extreme percentiles. The method showed an overall good performance. It tended to overestimate (underestimate) temperature values, especially during winter (summer); however, the day-to-day variance during these seasons was fairly well represented. The method was able to reproduce extreme percentiles and their spatial distributions for the three predictand variables as well as the probability of compound temperature and precipitation extreme events. The performance of the method was very good at estimating seasonal cycles of the different aspects explored. It showed some difficulties in representing the persistence in daily temperatures and the inter-annual variability of seasonal precipitation.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
John Wiley & Sons Ltd  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
ANALOGUE METHOD  
dc.subject
DAILY MAXIMUM AND MINIMUM TEMPERATURES  
dc.subject
DAILY PRECIPITATION  
dc.subject
REGIONAL CLIMATE  
dc.subject
SOUTHERN SOUTH AMERICA  
dc.subject
STATISTICAL DOWNSCALING  
dc.subject.classification
Meteorología y Ciencias Atmosféricas  
dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.subject.classification
Meteorología y Ciencias Atmosféricas  
dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Statistical downscaling of daily precipitation and temperatures in southern 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
2019-12-16T19:11:53Z  
dc.journal.volume
38  
dc.journal.number
9  
dc.journal.pagination
3705-3722  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Londres  
dc.description.fil
Fil: Bettolli, Maria Laura. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Penalba, Olga Clorinda. Consejo Nacional de Investigaciones Científicas y Técnicas; 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 Climatology  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/joc.5531  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1002/joc.5531