Annual and monthly rainfall data generation schemes
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, vol.18, no.4, pp.245-257, 2004 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 18 Issue: 4
- Publication Date: 2004
- Doi Number: 10.1007/s00477-004-0186-4
- Journal Name: STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Page Numbers: pp.245-257
- Keywords: two-tier model, method of fragments, Thomas-Fiering model, wavelet, rainfall, WAVELET, STREAMFLOW, MODELS, FLOWS
- Akdeniz University Affiliated: No
Abstract
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.