Dynamical and statistical downscaling of precipitation and temperature in a Mediterranean area
dc.contributor.author | Pizzigalli, Claudia | |
dc.contributor.author | Palatella, L. | |
dc.contributor.author | Zampieri, Matteo | |
dc.contributor.author | Lionello, P. | |
dc.contributor.author | Miglietta, M.M. | |
dc.contributor.author | Paradisi, P. | |
dc.date.accessioned | 2015-04-16T13:58:54Z | |
dc.date.available | 2015-04-16T13:58:54Z | |
dc.date.issued | 2012-03-28 | |
dc.identifier.citation | Dynamical and statistical downscaling of precipitation and temperature in a Mediterranean area 2012, 7 (1):2 Italian Journal of Agronomy | |
dc.identifier.issn | 2039-6805 | |
dc.identifier.issn | 1125-4718 | |
dc.identifier.doi | 10.4081/ija.2012.e2 | |
dc.identifier.uri | http://hdl.handle.net/10754/550217 | |
dc.description.abstract | In 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.publisher | PAGEPress Publications | |
dc.relation.url | http://agronomy.it/index.php/agro/article/view/ija.2012.e2 | |
dc.rights | This 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.subject | downscaling techniques | |
dc.subject | Capitanata plane | |
dc.subject | climate change | |
dc.title | Dynamical and statistical downscaling of precipitation and temperature in a Mediterranean area | |
dc.type | Article | |
dc.contributor.department | KAUST Supercomputing Laboratory (KSL) | |
dc.contributor.department | Physical Science and Engineering (PSE) Division | |
dc.identifier.journal | Italian Journal of Agronomy | |
dc.eprint.version | Publisher's Version/PDF | |
dc.contributor.institution | Dipartimento di Scienze dei Materiali, Università del Salento, Lecce, Italy | |
dc.contributor.institution | Istituto di Scienze dell'Atmosfera e del Clima (ISAC-CNR), Lecce, Italy | |
dc.contributor.institution | CNISM UdR Lecce, Dipartimento di Ingegneria dell'Innovazione, Università del Salento, Lecce, Italy | |
dc.contributor.institution | Centro Euro-Mediterraneo per i Cambiamenti Climatici, Lecce, Italy | |
dc.contributor.institution | Istituto per lo Studio degli Ecosistemi (ISE-CNR), Verbania Pallanza, Italy | |
dc.contributor.institution | Istituto di Scienza e Tecnologie dell'Informazione A. Faedo (ISTI-CNR), Pisa, Italy | |
kaust.person | Zampieri, Matteo | |
refterms.dateFOA | 2018-06-14T04:53:07Z |
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