Net radiation (R-n) of reference surface is important information that has many applications, but its measurement is rare due to the high cost of the sensor and the complexity involved on the measurement. Therefore, estimate R-n from another variable is desirable, as from solar radiation (R-s); however, standard methods used are complex, making interesting the use of simplified methodologies. Considering these aspects, the present study aimed to set two empirical methods to estimate R-n from R-s for Dourados region, Mato Grosso do Sul, Brazil. One method was based on mathematical modeling (Gauss Method). The other one was a more simplified and practical approach (Practical Method) comprising the determination of fixed monthly conversion factors. It was used daily R-s data of a 12-years database. With these, there were estimated R-n values by the standard method recommended by FAO. Gauss Method was set using Table Curve 2D 5.01 software. Modeling consisted in defining the values of the equation parameters. On Practical Method, we developed monthly coefficients of the ratio R-n/R-s. In order to validate both methods it was measured R-s and R-n during two years using high precision sensors. Both estimating methods showed satisfactory results, with relative mean absolute error values lower than 5.8.
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