Evapotranspiration Transfer-Function-Noise Modeling
Publication: Journal of Irrigation and Drainage Engineering
Volume 121, Issue 2
Abstract
Water-resource projects require a correct estimation of evapotranspiration for their successful planning, design, and operation. The accuracy of evapotranspiration is particularly important in, for example, water-quality models. Evapotranspiration estimation is very sensitive to the degree of forecasting error and even small errors can produce highly misleading results. Unfortunately, the time-dependent behavior of evapotranspiration makes it very hard to be represented by simpler expressions and forecasting based on such relations will naturally be inaccurate. In this study, the inherently stochastic process of reference evapotranspiration is modeled in a dynamic regression environment, also known as transfer-function-noise (TFN) modeling. TFN models have the capability to relate different time series and the capacity to allow delays between system inputs and responses, which make them quite attractive. In this study, various single input-single output TFN models are developed for reference evapotranspiration. It is shown that evapotranspiration can be adequately represented and forecasted by TFN models.
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References
1.
Box, G. E. P., and Jenkins, G. M. (1976). Time series analysis, forecasting and control . Holden-Day, San Francisco, Calif.
2.
Climatological data: California section. (1960–71). National Oceanic and Atmospheric Administration (NOAA), Nat. Climate Ctr., Asheville, N.C.
3.
“Evapotranspiration and irrigation water requirements.” (1990). Manual No. 70, ASCE, New York, N.Y.
4.
George, W., Pruitt, W. O., and Dong, A. (1985). “Evapotranspiration modeling.”Final Rep., III-36-61, Calif. Irrig. Mgmt. Information System, Univ. of California, Davis, Calif.
5.
Gupta, R. K., and Chauhan, P.(1986). “Stochastic modeling of irrigation requirements.”J. Irrig. and Drain. Engrg., ASCE, 112(1), 65–76.
6.
Hameed, T., and Mariño, M. A. (1993). “Transfer function modeling of evapotranspiration.”Proc., Conf. on Mgmt. of Irrig. and Drain. Systems: Integrated Perspectives, ASCE, New York, N.Y., 40–47.
7.
Hillmer, S. C., and Tiao, G. C.(1979). “Likelihood function of stationary multiple autoregressive-moving average models.”J. Am. Statistical Association, 74(367), 652–660.
8.
Liu, L. M., and Hanssens, D. M.(1982). “Identification of multiple-input transfer function models.”Communications in Statistics: Theory and Methods, 11(3), 297–314.
9.
Liu, L. M., and Hudak, G. B. (1992). “The SCA statistical system.”Reference manual for forecasting and time series analysis, Scientific Computing Associates, DeKalb, Ill.
10.
Mariño, M. A., Tracy, J. C., and Taghavi, S. A.(1993). “Forecasting of reference crop evapotranspiration.”Agric. Water Mgmt., 24(3), 163–187.
11.
Ostrom, C. W. (1990). Time series analysis: regression techniques . Sage Publications, Inc., Newbury Park, Calif.
12.
Pankratz, A. (1983). Forecasting with univariate Box-Jenkins models: concepts and cases . John Wiley and Sons, New York, N.Y.
13.
Pankratz, A. (1991). Forecasting with dynamic regression models . John Wiley and Sons, New York, N.Y.
14.
SCA. (1992). Statistical software for forecasting and time series analysis, Scientific Computing Associates, DeKalb, Ill.
15.
Shumway, R. H. (1988). Applied statistical time series analysis . Prentice-Hall, Englewood Cliffs, N.J.
16.
Vandaele, W. (1983). Applied time series and Box-Jenkins models . Academic Press, Inc., New York, N.Y.
17.
“Vegetative water use in California.” (1975–77). Bull. 113-3, California Dept. of Water Resour., Sacramento, Calif.
18.
Wei, W. W. S. (1990). Time series analysis . Addison-Wesley, Redwood City, Calif.
Information & Authors
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Published In
Journal of Irrigation and Drainage Engineering
Volume 121 • Issue 2 • March 1995
Pages: 159 - 169
Copyright
Copyright © 1995 American Society of Civil Engineers.
History
Published online: Mar 1, 1995
Published in print: Mar 1995
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