Transfer Function Modeling of Evapotranspirationby Tahir Hameed, Univ of Calif, Davis, United States,
Miguel A. Mariño, Univ of Calif, Davis, United States,
Abstract: The correct estimation of evapotranspiration is a fundamental step in planning, design and operation of most water resources projects. The dependence on various climatological parameters makes evapotranspiration a stochastic process which can not be adequately described by simpler models. In the present study, the transfer function modeling technique (dynamic regression) is examined as a means for appropriate representation of this inherently dynamic process. It is shown that evapotranspiration can adequately be represented in terms of temperature in a dynamic regression environment. In terms of variance and forecast standard errors, transfer function models give better results than univariate ARIMA models.
Subject Headings: Evapotranspiration | Regression analysis | Water resources | Mathematical models | Stochastic processes | Model analysis | Errors (statistics) | Dynamic models
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