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UDK: 551.577.001.4:626.01
DOI: n/a

Published: Građevinar 59 (2007) 8
Paper type: Subject review
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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
generated data, synthetic data series, monthly precipitation rate, empirical-stochastic model, time series, registered data

HOW TO CITE THIS ARTICLE:

Ružić, I., Rubinić, J., Ožanić, N.: Modelling synthetic data series for monthly precipitation, GRAĐEVINAR, 59 (2007) 8

OR:

Ružić, I., Rubinić, J., Ožanić, N. (2007). Modelling synthetic data series for monthly precipitation, GRAĐEVINAR, 59 (8)
Authors:
IgorRuzic WEB
Igor Ružić
University of Rijeka,
Faculty of Civil Engineering

Josip Rubinić
Hrvatske vode, Labin
NEVENKA OZANIC WEB
Nevenka Ožanić
University of Rijeka,
Faculty of Civil Engineering