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Iterative model to estimate probable reference evapotranspiration

This paper presents an iteractive model for microcomputers to study the distribution of reference evapotranspiration, using beta and incomplete gamma density functions. For this purpose, two weekly data of reference evapotranspiration were used, collected in March during 30 years, for Piracicaba-SP, Brazil. Using the Kolmogorov-Smirnov model, it was observed that estimated data showed to be closely related to experimental data found in literature, justifying its use.

evapotranspiration; iteractive model; beta distribution


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