Empirical equation for estimating sunshine hours, and comparison of reference evapotranspiration models in temperate Kashmir Valley, India
by Syed Mohsin; M.A. Lone
International Journal of Hydrology Science and Technology (IJHST), Vol. 15, No. 2, 2023

Abstract: The availability of sunshine hours (SSH) data is central to many agrometeorological, hydrological, and solar applications. However, records of SSH may not be available for all stations. In such situations, an alternate method for the estimation of SSH becomes indispensable. In this study, the linear regression technique was used to develop a model for estimating mean monthly SSH using monthly averages of routinely recorded meteorological parameters for Kashmir Valley, India. Coefficient of determination (R²) and residual analysis were used to evaluate the developed model. For the stations where SSH data were available, a comparison of the actual and predicted reference evapotranspiration (ETO) calculated using eight models was made. The comparison showed a firm agreement between the actual and predicted ETO. Based on statistical indicators of the standard error of estimate and Willmot's index, the ETO models were ranked in order of their performance in comparison to the FAO-56 Penman-Monteith equation.

Online publication date: Thu, 02-Feb-2023

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