Daily records of precipitation measured in Modena (Po Plain in Italy) since March 1830, were analyzed in the framework of a stochastic bivariate model. The following stochastic variables were chosen: q, equivalent height of water precipitated during the wet day; d, number of dry days which precede the wet day. The two variables appear reasonably independent so that, in a wet day, the overall probability that the next wet day is labelled by q and d is given by the product of two independent probabilities. The probability that the next wet day occurs after d+1 days follows a Polya distribution. This distribution has two parameters which show a seasonal dependence. The probability distribution of the equivalent height of precipitated water, q follows a gamma distribution. This distribution has also two parameters which show a seasonal dependence.
Statistical model for daily precipitation / Morelli, Sandra; Santangelo, Renato. - STAMPA. - 16:(1984), pp. 69-78. (Intervento presentato al convegno N/A tenutosi a N/A nel N/A).
Statistical model for daily precipitation
MORELLI, Sandra;SANTANGELO, Renato
1984
Abstract
Daily records of precipitation measured in Modena (Po Plain in Italy) since March 1830, were analyzed in the framework of a stochastic bivariate model. The following stochastic variables were chosen: q, equivalent height of water precipitated during the wet day; d, number of dry days which precede the wet day. The two variables appear reasonably independent so that, in a wet day, the overall probability that the next wet day is labelled by q and d is given by the product of two independent probabilities. The probability that the next wet day occurs after d+1 days follows a Polya distribution. This distribution has two parameters which show a seasonal dependence. The probability distribution of the equivalent height of precipitated water, q follows a gamma distribution. This distribution has also two parameters which show a seasonal dependence.Pubblicazioni consigliate
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