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Prediction of monthly rainfall statistics from data with long integration time

Prediction of monthly rainfall statistics from data with long integration time

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Conversion models, originally devised to turn yearly rainfall statistics from long (e.g. 30 or 60 min) to short integration time T (i.e. 1 min), are assessed for their ability to also predict monthly 1-min integrated statistics, P(R)1 m , knowledge of which may be beneficial for specific services (e.g. reconfigurable systems) and for the definition of a reliable approach to estimate monthly (hence worst month) rain attenuation statistics. Tests, performed for 5 ≤ T ≤ 60 min against monthly raingauge-derived rainfall data collected in some sites worldwide, indicate that the EXponential CELL rainfall statistics conversion (EXCELL RSC) and Lavergnat-Golé models, in force of their physical soundness, provide a good performance when used to predict 1-min integrated rainfall statistics both on yearly and on monthly bases.

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