Review article

Modelling synthetic data series for monthly precipitation

Igor Ružić
Josip Rubinić
Nevenka Ožanić

Abstract

A novel (empirical-stochastic) approach to the modelling of synthetic series of monthly precipitation data has been developed. Data collected from several precipitation stations were used in the analysis and verification of the new model. The results were compared with the originally measured time series by means of a number of parametric tests sensitive to individual distribution-related properties of the registered and generated data. The results have shown that the proposed model may be considered acceptable.

Keywords

synthetic data series; monthly precipitation rate; empirical-stochastic model; time series; registered data; generated data

Hrčak ID:

16857

URI

https://hrcak.srce.hr/16857

Publication date:

11.9.2007.

Article data in other languages: croatian

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