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dc.contributor.authorPizzigalli, Claudia
dc.contributor.authorPalatella, L.
dc.contributor.authorZampieri, Matteo
dc.contributor.authorLionello, P.
dc.contributor.authorMiglietta, M.M.
dc.contributor.authorParadisi, P.
dc.date.accessioned2015-04-16T13:58:54Z
dc.date.available2015-04-16T13:58:54Z
dc.date.issued2012-03-28
dc.identifier.citationDynamical and statistical downscaling of precipitation and temperature in a Mediterranean area 2012, 7 (1):2 Italian Journal of Agronomy
dc.identifier.issn2039-6805
dc.identifier.issn1125-4718
dc.identifier.doi10.4081/ija.2012.e2
dc.identifier.urihttp://hdl.handle.net/10754/550217
dc.description.abstractIn this paper we present and discuss a comparison between statistical and regional climate modeling techniques for downscaling GCM prediction . The comparison is carried out over the “Capitanata” region, an area of agricultural interest in south-eastern Italy, for current (1961-1990) and future (2071–2100) climate. The statistical model is based on Canonical Correlation Analysis (CCA), associated with a data pre-filtering obtained by a Principal Component Analysis (PCA), whereas the Regional Climate Model REGCM3 was used for dynamical downscaling. Downscaling techniques were applied to estimate rainfall, maximum and minimum temperatures and average number of consecutive wet and dry days. Both methods have comparable skills in estimating stations data. They show good results for spring, the most important season for agriculture. Both statistical and dynamical models reproduce the statistical properties of precipitation well, the crucial variable for the growth of crops.
dc.publisherPAGEPress Publications
dc.relation.urlhttp://agronomy.it/index.php/agro/article/view/ija.2012.e2
dc.rightsThis article is distributed under the terms of the Creative Commons Attribution Noncommercial License (by-nc 3.0) which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
dc.subjectdownscaling techniques
dc.subjectCapitanata plane
dc.subjectclimate change
dc.titleDynamical and statistical downscaling of precipitation and temperature in a Mediterranean area
dc.typeArticle
dc.contributor.departmentKAUST Supercomputing Laboratory (KSL)
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.identifier.journalItalian Journal of Agronomy
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionDipartimento di Scienze dei Materiali, Università del Salento, Lecce, Italy
dc.contributor.institutionIstituto di Scienze dell'Atmosfera e del Clima (ISAC-CNR), Lecce, Italy
dc.contributor.institutionCNISM UdR Lecce, Dipartimento di Ingegneria dell'Innovazione, Università del Salento, Lecce, Italy
dc.contributor.institutionCentro Euro-Mediterraneo per i Cambiamenti Climatici, Lecce, Italy
dc.contributor.institutionIstituto per lo Studio degli Ecosistemi (ISE-CNR), Verbania Pallanza, Italy
dc.contributor.institutionIstituto di Scienza e Tecnologie dell'Informazione A. Faedo (ISTI-CNR), Pisa, Italy
kaust.personZampieri, Matteo
refterms.dateFOA2018-06-14T04:53:07Z


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