caa a22 4500 44583773X CHVBK 20180317145335.0 cr unu---uuuuu 170323e20110501xx s 000 0 eng 10.1007/s00271-010-0232-6 doi (NATIONALLICENCE)springer-10.1007/s00271-010-0232-6 Kişi Özgür Engineering Faculty, Civil Engineering Department, Erciyes University, 38039, Kayseri, Turkey aut Evapotranspiration modeling using a wavelet regression model [Elektronische Daten] [Özgür Kişi] The present study proposes a simple wavelet regression (WR) approach for modeling reference evapotranspiration (ET0). The WR model was improved combining two methods: discrete wavelet transform (DWT) and a linear regression model. The accuracy of the WR models was compared with that of the single linear regression (LR) models. The daily climatic data from three stations in central California are used as inputs to the WR models to estimate ET0 obtained using the FAO-56 Penman-Monteith equation. The comparison of these results revealed that the WR models could increase the forecast accuracy of the LR models. A comparison is also made between the estimates provided by the WR models and those of the following empirical models: CIMIS Penman, Hargreaves, Ritchie and Turc. Based on a comparison of these results, the WR models were found to perform better than the empirical models in daily ET0 modeling. Springer-Verlag, 2010 Discrete wavelet transform nationallicence Linear regression nationallicence Penman nationallicence Hargreaves nationallicence Ritchie nationallicence Turc nationallicence Reference evapotranspiration nationallicence Modeling nationallicence Irrigation Science Springer-Verlag 29/3(2011-05-01), 241-252 0342-7188 29:3<241 2011 29 271 https://doi.org/10.1007/s00271-010-0232-6 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00271-010-0232-6 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Kişi Özgür Engineering Faculty, Civil Engineering Department, Erciyes University, 38039, Kayseri, Turkey aut NATIONALLICENCE 773 0- Irrigation Science Springer-Verlag 29/3(2011-05-01), 241-252 0342-7188 29:3<241 2011 29 271 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer