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Determining the best fitting distribution of annual precipitation data in Serbia using L-moments method

Authors
  • Gocic, Milan
  • Velimirovic, Lazar
  • Stankovic, Miomir
Type
Preprint
Publication Date
Jan 27, 2015
Submission Date
Oct 20, 2014
Identifiers
arXiv ID: 1410.5309
Source
arXiv
License
Yellow
External links

Abstract

The monthly precipitation data from 29 meteorological stations for the period 1946–2012 from Serbia were used. To describe the behaviour of precipitation data at a specific location, it is necessary to identify the distribution that best fits the data. For this purpose, three distributions i.e. generalized extreme value (GEV), generalized Pareto (GPD) and generalized logistic (GLO) distribution were fitted using the method of L-moment. The goodness-of-fit for the selected three distributions was confirmed using L-moment ratio diagram and three tests namely relative root mean square error, relative mean absolute error and probability plot correlation coefficient. From the result of this analysis, the GEV distribution was selected as the best fitting distribution of annual precipitation data in Serbia. The 2, 5, 10, 20, 50, 100 and 1000-years return levels are provided.

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