Articles | Volume 11, issue 6
https://doi.org/10.5194/nhess-11-1657-2011
https://doi.org/10.5194/nhess-11-1657-2011
Research article
 | 
14 Jun 2011
Research article |  | 14 Jun 2011

Occurrence analysis of daily rainfalls through non-homogeneous Poissonian processes

B. Sirangelo, E. Ferrari, and D. L. De Luca

Abstract. A stochastic model based on a non-homogeneous Poisson process, characterised by a time-dependent intensity of rainfall occurrence, is employed to explain seasonal effects of daily rainfalls exceeding prefixed threshold values. The data modelling has been performed with a partition of observed daily rainfall data into a calibration period for parameter estimation and a validation period for checking on occurrence process changes. The model has been applied to a set of rain gauges located in different geographical areas of Southern Italy. The results show a good fit for time-varying intensity of rainfall occurrence process by 2-harmonic Fourier law and no statistically significant evidence of changes in the validation period for different threshold values.

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