Rainfall downscaling in a space-time multifractal framework

dc.contributor.authorDeidda, Roberto
dc.date.accessioned2014-06-13T07:15:51Z
dc.date.available2014-06-13T07:15:51Z
dc.date.issued2010-07-09
dc.descriptionPublication History: Issue published online: 9 JUL 2010 Article first published online: 9 JUL 2010 Manuscript Accepted: 17 FEB 2000 Manuscript Received: 18 AUG 1999IT
dc.description.abstractA space-time multifractal analysis on radar rainfall sequences selected from the Global Atmospheric Research Program Atlantic Tropical Experiment database is presented. It is shown that space-time rainfall can be considered with a good approximation to be a self-similar multifractal process, so that a multifractal analysis can be carried out assuming Taylor's hypothesis to hold for rainfall over a wide range of spatial and temporal scales. The advection velocity needed to rescale the time dimension is estimated using different tracking techniques. On each selected rainfall sequence, a very good scaling is observed for spatial scales ranging from 4 to 256 km and for timescales from 15 min to 16 hours. A recently developed scale-covariant multifractal model is then reformulated for numerical simulation of space-time rainfall fields. The two parameters of the log-Poisson distribution used as cascade generator within the model are systematically estimated from each selected rainfall sequence, and the dependence of one of these parameters on the large-scale rain rate is highlighted. The model is then applied to disaggregate large-scale rainfall, and some comparisons between synthetically downscaled and observed rainfall are discussed.IT
dc.description.pagenumber1779–1794IT
dc.description.statusPubblicatoIT
dc.identifier.doi10.1029/2000WR900038IT
dc.identifier.issn1944-7973
dc.identifier.urihttp://hdl.handle.net/11050/1013
dc.language.isoenIT
dc.publisherWileyIT
dc.relation.ispartofWater resources researchIT
dc.relation.ispartofseries36;7
dc.subjectradar rainfallIT
dc.subjectlog-Poisson distributionIT
dc.subjectmultifractal analysisIT
dc.subject.een-cordisEEN CORDIS::FISICA E SCIENZE ESATTE::Meteorologia / climatologia::BiosensoriIT
dc.titleRainfall downscaling in a space-time multifractal frameworkIT
dc.typeArticoloIT
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