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Evaluation of FAO-56 methodology for estimating reference evapotranspiration using limited climatic data: Application to Tunisia

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  • Jabloun, M.
  • Sahli, A.

Abstract

The Food and Agriculture Organization of the United Nations had improved the version of the Penman-Monteith method (FAO-56 PM) which has recently been proposed as the standard for estimating reference evapotranspiration (ETo). Unfortunately, some weather variables, especially solar radiation, relative humidity and wind speed, are often missing which could impede the estimation of ETo with the FAO-56 PM method. To overcome the problem of the availability of climatic parameters, procedures to estimate ETo with missing climate data are proposed as part of the FAO methodology. Therefore, assessing the accuracy of these procedures for different Tunisian locations is important. The comparison of ETo estimates using limited data to those computed with full data set revealed that the difference between ETo obtained from full and limited data set is small considering the 8 locations studied. Both the Mean Bias Error (MBE) and the Root Mean Square Error (RMSE) of the comparison were less than 0.6 and 0.8 with a minimum of -0.4 and 0.2 mm day-1, respectively, leading to small errors in the ETo estimates. The higher deviations occur when the only available information is minimum and maximum air temperature. These deviations were significantly higher when using the Hargreaves equation to calculate ETo.

Suggested Citation

  • Jabloun, M. & Sahli, A., 2008. "Evaluation of FAO-56 methodology for estimating reference evapotranspiration using limited climatic data: Application to Tunisia," Agricultural Water Management, Elsevier, vol. 95(6), pages 707-715, June.
  • Handle: RePEc:eee:agiwat:v:95:y:2008:i:6:p:707-715
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    References listed on IDEAS

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    1. Lopez-Urrea, R. & Martin de Santa Olalla, F. & Fabeiro, C. & Moratalla, A., 2006. "Testing evapotranspiration equations using lysimeter observations in a semiarid climate," Agricultural Water Management, Elsevier, vol. 85(1-2), pages 15-26, September.
    2. Martinez-Cob, A. & Tejero-Juste, M., 2004. "A wind-based qualitative calibration of the Hargreaves ET0 estimation equation in semiarid regions," Agricultural Water Management, Elsevier, vol. 64(3), pages 251-264, February.
    3. Chiew, F. H. S. & Kamaladasa, N. N. & Malano, H. M. & McMahon, T. A., 1995. "Penman-Monteith, FAO-24 reference crop evapotranspiration and class-A pan data in Australia," Agricultural Water Management, Elsevier, vol. 28(1), pages 9-21, August.
    4. DehghaniSanij, Hossein & Yamamoto, Tahei & Rasiah, Velu, 2004. "Assessment of evapotranspiration estimation models for use in semi-arid environments," Agricultural Water Management, Elsevier, vol. 64(2), pages 91-106, January.
    5. Gavilan, P. & Lorite, I.J. & Tornero, S. & Berengena, J., 2006. "Regional calibration of Hargreaves equation for estimating reference ET in a semiarid environment," Agricultural Water Management, Elsevier, vol. 81(3), pages 257-281, March.
    6. Pereira, Antonio Roberto & Pruitt, William Oregon, 2004. "Adaptation of the Thornthwaite scheme for estimating daily reference evapotranspiration," Agricultural Water Management, Elsevier, vol. 66(3), pages 251-257, May.
    7. Jacovides, C. P. & Kontoyiannis, H., 1995. "Statistical procedures for the evaluation of evapotranspiration computing models," Agricultural Water Management, Elsevier, vol. 27(3-4), pages 365-371, July.
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