G. Landeras, A. Ortiz-Barredo and J. J. López, “Comparison of Artificial Neural Network Models and Empirical and Semi-Empirical Equations for Daily Reference Evapotranspiration Estimation in the Basque Country (Northern Spain),” Agricultural Water Management, Vol. 95, No. 5, 2008, pp. 553-565.
http://dx.doi.org/10.1016/j.agwat.2007.12.011

has been cited by the following article:

• TITLE: Calibration of Hargreaves-Samani Equation for Estimating Reference Evapotranspiration in Sub-Humid Region of Brazil

  AUTHORS: José Romualdo de Sousa Lima, Antonio Celso Dantas Antonino, Eduardo Soares de Souza, Claude Hammecker, Suzana Maria Gico Lima Montenegro, Carlos Alberto Brayner de Oliveira Lira

  KEYWORDS: Reference Evapotranspiration; Penman-Monteith; Hargreaves-Samani; Air Temperature

  JOURNAL NAME: Journal of Water Resource and Protection, Vol.5 No.12A, December 31, 2013

  ABSTRACT: Reference evapotranspiration (ETo) is an important parameter used in numerous applications, such as climatological and hydrological studies, as well as for water resources planning and management. There are several methods to estimate ETo, being that the FAO Penman-Monteith (EToPM) method is considered standard. This method needs many parameters (solar radiation, air temperature, humidity and wind speed), however there are still many uncovered areas, suggesting the need for methods of calculating evapotranspiration based on few meteorological elements, such as air temperature. Therefore, this study aimed to determine the ETo by Hargreaves-Samani method in the experimental watershed of the “Riacho do Papagaio” farm, in county of Sao Joao, in north-eastern Brazil, using data of 2011 and 2012. Reference evapotranspiration estimated by non-calibrated Hargreaves-Samani method (EToHS) was overestimated in all months (RMSE = 1.43 mm·d-1), mainly in months of lower evaporative demand (from May to July). Because of these tendencies, this method cannot be used in its original form to estimate ET for this region; therefore, a calibration of radiation adjustment coefficient (kRs) was performed. The calibrated Hargreaves-Samani method (EToHSc) had better performance (RMSE = 0.52 mm·d-1), being suitable for predicting ETo in this region.