http://www.cnr.it/ontology/cnr/individuo/prodotto/ID193587
Confidence interval of real-time forecast stages provided by the STAFOM-RCM model: the case study of the Tiber River (Italy) (Articolo in rivista)
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- Confidence interval of real-time forecast stages provided by the STAFOM-RCM model: the case study of the Tiber River (Italy) (Articolo in rivista) (literal)
- Anno
- 2014-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1002/hyp.9613 (literal)
- Alternative label
Silvia Barbetta, Tommaso Moramarco, Luca Brocca, Marco Franchini, Florisa Melone (2014)
Confidence interval of real-time forecast stages provided by the STAFOM-RCM model: the case study of the Tiber River (Italy)
in Hydrological processes (Online); John Wiley & Sons Ltd., Chichester (Regno Unito)
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Silvia Barbetta, Tommaso Moramarco, Luca Brocca, Marco Franchini, Florisa Melone (literal)
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- http://dx.doi.org/10.1002/hyp.9613 (literal)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
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- ISI Web of Science (WOS) (literal)
- Scopus (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- National Research Council, IRPI, Via Madonna Alta 126, 06128 Perugia, Italy
Engineering Department, University of Ferrara, Via Saragat 1, 44122 Ferrara, Italy (literal)
- Titolo
- Confidence interval of real-time forecast stages provided by the STAFOM-RCM model: the case study of the Tiber River (Italy) (literal)
- Abstract
- This study proposes a statistically based procedure to quantify the confidence interval (CI) to be associated to the stages forecast
by a simple model called STAge FOrecasting Model-Rating Curve Model (STAFOM-RCM). This model can be used for single
river reaches characterized by different intermediate drainage areas and mean wave travel times when real-time stage records,
cross section surveys and rating curves are available at both ends. The model requires, at each time of forecast, an estimate of the
lateral contribution qfor between the two sections delimiting the reach. The CI of the stage is provided by analyzing the statistical
properties of model output in terms of lateral flow, and it is derived from the CI of the lateral contribution qfor which, in turn, is
set up by associating to each qfor the qopt which allows STAFOM-RCM to reproduce the exact observed stage. From an operative
point of view, the qfor values are ranked in order of magnitude and subdivided in classes where the qopt values can be represented
through normal distributions of proper mean and variance from which an interval of selected confidence level for qfor is
computed and transferred to the stage.
Three river reaches of the Tiber river, in central Italy, are used as case study. A sensitivity analysis is also performed in order to
identify the minimum calibration set of flood events. The CIs obtained are consistent with the level of confidence selected and
have practical utility. An interesting aspect is that different CI widths can be produced for the same forecast stage since they
depend on the estimate of qfor made at the time of forecast. Overall, the proposed procedure for CI estimate is simple and can be
conveniently adapted for other forecasting models provided that they have physically based parameters which need to be updated
during the forecast. (literal)
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