Transfer Function Modeling of Evapotranspiration

by Tahir Hameed, Univ of Calif, Davis, United States,
Miguel A. Mariño, Univ of Calif, Davis, United States,

Document Type: Proceeding Paper

Part of: Management of Irrigation and Drainage Systems: Integrated Perspectives


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: Stochastic processes | Errors (statistics) | Evapotranspiration | Dynamic models | Regression analysis | Water resources | Climates | Parameters (statistics)

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