The aim of this paper is to present a statistical model which could exploit further dynamical information, capable to give a better forecast of daily hydric precipitation. The two variables, amount of water (q) and number of dry days which precede the wet day (d), appeared reasonably independent. The statistical distribution of q is well fitted by a Gamma distribution. Each day is considered wet or dry according to the result of a drawing from an urn. The composition of the urn changes day to day as in the contagious models.
Urn model for daily hydric precipitation / Morelli, Sandra; Santangelo, Renato. - STAMPA. - 4, n.3:(1984), pp. 343-344. (Intervento presentato al convegno !0th European Geophysical Society Meeting tenutosi a Louvain-la-Neuve (Belgium) nel 30 July-3 August 1984).
Urn model for daily hydric precipitation
MORELLI, Sandra;SANTANGELO, Renato
1984
Abstract
The aim of this paper is to present a statistical model which could exploit further dynamical information, capable to give a better forecast of daily hydric precipitation. The two variables, amount of water (q) and number of dry days which precede the wet day (d), appeared reasonably independent. The statistical distribution of q is well fitted by a Gamma distribution. Each day is considered wet or dry according to the result of a drawing from an urn. The composition of the urn changes day to day as in the contagious models.
Pubblicazioni consigliate
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris
