http://www.cnr.it/ontology/cnr/individuo/prodotto/ID45220
Climate change assessment for Mediterranean agricultural areas by statistical downscaling (Articolo in rivista)
- Type
- Label
- Climate change assessment for Mediterranean agricultural areas by statistical downscaling (Articolo in rivista) (literal)
- Anno
- 2010-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.5194/nhess-10-1647-2010 (literal)
- Alternative label
Palatella L., M. M. Miglietta, P. Paradisi, P. Lionello (2010)
Climate change assessment for Mediterranean agricultural areas by statistical downscaling
in Natural hazards and earth system sciences (Print); Copernicus Gesellschaft MBH, Gottingen (Germania)
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Palatella L., M. M. Miglietta, P. Paradisi, P. Lionello (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
- Note
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- 1ISAC-CNR, Strada Prov. Lecce-Monteroni km 1200, 73100, Lecce, Italy
2Dipartimento di Scienze dei Materiali - Università del Salento, Strada Prov. Lecce-Monteroni km 1200, 73100, Lecce, Italy (literal)
- Titolo
- Climate change assessment for Mediterranean agricultural areas by statistical downscaling (literal)
- Abstract
- In this paper we produce projections of seasonal
precipitation for four Mediterranean areas: Apulia region
(Italy), Ebro river basin (Spain), Po valley (Italy) and Antalya
province (Turkey). We performed the statistical downscaling
using Canonical Correlation Analysis (CCA) in two
versions: in one case Principal Component Analysis (PCA)
filter is applied only to predictor and in the other to both predictor
and predictand. After performing a validation test,
CCA after PCA filter on both predictor and predictand has
been chosen. Sea level pressure (SLP) is used as predictor.
Downscaling has been carried out for the scenarios A2 and
B2 on the basis of three GCM's: the CCCma-GCM2, the
Csiro-MK2 and HadCM3. Three consecutive 30-year periods
have been considered. For Summer precipitation in
Apulia region we also use the 500 hPa temperature (T500)
as predictor, obtaining comparable results. Results show different
climate change signals in the four areas and confirm
the need of an analysis that is capable of resolving internal
differences within the Mediterranean region. The most robust
signal is the reduction of Summer precipitation in the
Ebro river basin. Other significative results are the increase
of precipitation over Apulia in Summer, the reduction over
the Po-valley in Spring and Autumn and the increase over
the Antalya province in Summer and Autumn. (literal)
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