Distributed hydrological models require input of rainfall records for high resolution, this means that there is a special interest in the availability of spatial-temporal patterns of rainfall, which are capable of generating, through numerical simulation, rainfall intensity fields very realistic . 
When it comes to simulate strong convective events (of the kind of episodes that cause flooding in areas such as systematic of the Spanish Mediterranean), spatial models more realistic and which are most suitable are those based on processes Tapping . These models consider the cell as a key element of rain. 
In this thesis, following a detailed review of the literature, has developed a model that incorporates new features relevant for describing the process of precipitation. These new features include an enhanced role for the birth of cells in time (able to adapt to the forms that show the curve normalized accumulated throughout the episode) and a gamma-type function to represent the temporal evolution of the intensity of rain cell, which describes in a realistic way the different phases through which rainwater passes through a convective cell: growth, maturity and finally a gradual decline. 
Also, theories have obtained the expressions of the moments of first and second order, which can estimate the model parameters and, therefore, its use in the context of the hydrological applications. 
The seven parameters of the model which is has been estimated by the method of moments, for thirty episodes recorded by the SAIH (Automatic Hydrological Information System) of the Confederation of Hydrologic Jucar (Valencia-Spain) during 1991 -- 2000. These episodes are listed, both in terms of weather and from the standpoint of the casual effects, in an appendix