Annual and monthly rainfall data generation schemes

N. E. Ünal, H. Aksoy*, T. Akar

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

38 Citations (Scopus)


Synthetic annual and monthly rainfall data series are generated by using autoregressive (AR) processes, Thomas-Fiering (TF) model, method of fragments (F) and its modified version (MF), two-tier (TT) model, and a newly developed wavelet (W) approach. It is seen that the W approach is as well in preserving the statistical behavior of the observed data series as the classical annual and monthly hydrological data generation schemes used in this study. The W approach is found even better in replacing some particular characteristics such as the mean of the sequence and correlation between the successive months in the series. It is, therefore, proposed as a new annual and monthly hydrological data generation scheme.

Original languageEnglish
Pages (from-to)245-257
Number of pages13
JournalStochastic Environmental Research and Risk Assessment
Issue number4
Publication statusPublished - Aug 2004


  • Method of fragments
  • Rainfall
  • Thomas-Fiering model
  • Two-tier model
  • Wavelet


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