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- W158777718 abstract "The distinct role of errors in the extremal statistics used to infer design storms of any duration and any return period and trend in the extremal time series are analysed to derive uncertainties affecting the estimates of the design storms. Several extremal time series collected at gauges in Tuscany, Italy, are considered. The Generalized Extreme Value (GEV) distribution is employed to compute the design storms, and the uncertainties in the estimates are derived through the maximum likelihood method. Design storms are then computed for several consecutive 30-year moving time windows (step of one year) to evaluate intrinsic (climatological) uncertainties in the series. The climatological uncertainties in the evaluations are connected to trends and oscillations affecting general circulation features, tentatively expressed by the North Atlantic Oscillation (NAO) index. The hydrological consequences of climate variability are shown to have a major impact on the design of hydraulic works in an urban drainage network." @default.
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- W158777718 date "1999-01-01" @default.
- W158777718 modified "2023-09-23" @default.
- W158777718 title "Climatic variability and its impact on rainfall extremes and urban runoff design in Tuscany" @default.
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