http://www.cnr.it/ontology/cnr/individuo/prodotto/ID44881
Rainfall downscaling and flood forecasting: a case study in the Mediterranean area (Articolo in rivista)
- Type
- Label
- Rainfall downscaling and flood forecasting: a case study in the Mediterranean area (Articolo in rivista) (literal)
- Anno
- 2006-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.5194/nhess-6-611-2006 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- N. Rebora; L. Ferraris; J. von Hardenberg; A. Provenzale (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://www.nat-hazards-earth-syst-sci.net/6/611/2006/nhess-6-611-2006.html (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Note
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- von Hardenberg, Provenzale: ISAC-CNR, Turin, Italy
Ferraris: DIST, University of Genoa, Genoa, Italy
Rebora, Ferraris: CIMA, University of Genoa and University of Basilicata, Savona, Italy (literal)
- Titolo
- Rainfall downscaling and flood forecasting: a case study in the Mediterranean area (literal)
- Abstract
- The prediction of the small-scale spatial-temporal pattern of intense rainfall events is crucial for flood risk assessment in small catchments and urban areas. In the absence of a full deterministic modelling of small-scale rainfall, it is common practice to resort to the use of stochastic downscaling models to generate ensemble rainfall predictions to be used as inputs to rainfall-runoff models. In this work we present an application of a new spatial-temporal downscaling procedure, called RainFARM, to an intense precipitation event predicted by the limited-area meteorological model Lokal Model over north-west Italy. The uncertainty in flood prediction associated with the small unresolved scales of forecasted precipitation fields is evaluated by using an ensemble of downscaled fields to drive a semi-distributed rainfall-runoff model. (literal)
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