Abstract This paper investigates the comparative performance of wavelet based radial basis networks and multi linear regression in daily reference evapotranspiration estimation. The meteorological data (air temperature, solar radiation, wind speed, relative humidity) from two stations in the United States was evaluated for estimating models. The wavelet based radial basis network combines wavelet transformation and radial basis neural network, while the wavelet based regression model combines wavelet transformation and multi linear regression. The results show that the wavelet transformation has significantly positive effects on modeling performance. The wavelet based radial basis network provided the best performance evaluation criteria.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Comparison of wavelet based hybrid models for daily evapotranspiration estimation using meteorological data


    Beteiligte:
    Partal, Turgay (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2015-10-16


    Format / Umfang :

    9 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






    Estimation of Large Scale Daily Evapotranspiration Using MSG/SEVIRI Data and Fourier Transform Analysis of Time Series

    Jia, L. / Daamen, M. / van Meijgaard, E. | British Library Conference Proceedings | 2010


    Albedo Accuracy Impact on Evapotranspiration Estimation

    Mattar, C. / Franch, B. / Sobrino, J.A. et al. | British Library Conference Proceedings | 2013


    Comparison between Evapotranspiration Fluxes Assessment Methods

    Casola, A. / Longobardi, A. / Villani, P. | British Library Conference Proceedings | 2010