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A comparison of two rainfall disaggregation models
Sapienza University of Rome, Rome, Italy.
Sapienza University of Rome.
Sapienza University of Rome, Rome, Italy.ORCID iD: 0000-0002-4714-2511
Sapienza University of Rome, Rome, Italy.
2012 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Whitin the context of flood management, and generally for performing environmental, climate, hydrological, and water resources analysis, it is useful and reliable to provide scenarios by rainfall simulation, in order to overcome data limitations in terms of time and spatial resolution. Generally, it is required that the stochastic model preservesimportant properties of the rainfall process, such as intermittency, seasonality and scaling behavior in space and time, so that there will be no substantial differences between historical rainfall data and synthetic records. In this work, two rainfall disaggregation models are evaluated in terms of their ability to reproduce rainfall hourly statistics in four sites in Central Italy. The considered models are an entropy based disaggregation model and Hyetos-R (Bartlett-Lewis rectangular pulses rainfall)

Place, publisher, year, edition, pages
American Institute of Physics (AIP), 2012. p. 1796-1799, article id 1
Series
AIP Conference Proceedings ; 1479
Keywords [en]
Stochastic rainfall modeling, entropy
National Category
Oceanography, Hydrology and Water Resources
Identifiers
URN: urn:nbn:se:uu:diva-401004DOI: 10.1063/1.4756526OAI: oai:DiVA.org:uu-401004DiVA, id: diva2:1382699
Conference
International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2012
Available from: 2020-01-03 Created: 2020-01-03 Last updated: 2020-01-10Bibliographically approved

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Ridolfi, Elena

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